2024
Other
Open Access
Strumenti innovativi per introdurre gli escursionisti ad una migliore lettura dell'ambiente
Ducci F., Dell'Orso R., Martinelli M.
Lo scorso 30 agosto 2023 il Club Alpino Italiano Regione Toscana, tramite il suo Comitato Scientifico Toscano, e l'Istituto di Scienza e Tecnologie dell'Informazione del Consiglio Nazionale delle Ricerche hanno stipulato un accordo di collaborazione per attività di ricerca volta a sviluppare strumenti innovativi per introdurre gli escursionisti ad una migliore lettura dell'ambiente.
Ducci F., Dell'Orso R., Martinelli M.
Lo scorso 30 agosto 2023 il Club Alpino Italiano Regione Toscana, tramite il suo Comitato Scientifico Toscano, e l'Istituto di Scienza e Tecnologie dell'Informazione del Consiglio Nazionale delle Ricerche hanno stipulato un accordo di collaborazione per attività di ricerca volta a sviluppare strumenti innovativi per introdurre gli escursionisti ad una migliore lettura dell'ambiente.
See at:
ISTI Repository 
| CNR ExploRA | www.loscarpone.cai.it
2023
Journal article
Open Access
Efficient adaptive ensembling for image classification
Bruno A., Moroni D., Martinelli M.
In recent times, except for sporadic cases, the trend in Computer Vision is to achieve minor improvements over considerable increases in complexity. To reverse this tendency, we propose a novel method to boost image classification performances without an increase in complexity. To this end, we revisited ensembling, a powerful approach, not often adequately used due to its nature of increased complexity and training time, making it viable by specific design choices. First, we trained end-to-end two EfficientNet-b0 models (known to be the architecture with the best overall accuracy/complexity trade-off in image classification) on disjoint subsets of data (i.e. bagging). Then, we made an efficient adaptive ensemble by performing fine-tuning of a trainable combination layer. In this way, we were able to outperform the state-of-the-art by an average of 0.5\% on the accuracy with restrained complexity both in terms of number of parameters (by 5-60 times), and FLoating point Operations Per Second (by 10-100 times) on several major benchmark datasets, fully embracing the green AI.Source: Expert systems (Online) (2023). doi:10.1111/exsy.13424
DOI: 10.1111/exsy.13424
Metrics:
Bruno A., Moroni D., Martinelli M.
In recent times, except for sporadic cases, the trend in Computer Vision is to achieve minor improvements over considerable increases in complexity. To reverse this tendency, we propose a novel method to boost image classification performances without an increase in complexity. To this end, we revisited ensembling, a powerful approach, not often adequately used due to its nature of increased complexity and training time, making it viable by specific design choices. First, we trained end-to-end two EfficientNet-b0 models (known to be the architecture with the best overall accuracy/complexity trade-off in image classification) on disjoint subsets of data (i.e. bagging). Then, we made an efficient adaptive ensemble by performing fine-tuning of a trainable combination layer. In this way, we were able to outperform the state-of-the-art by an average of 0.5\% on the accuracy with restrained complexity both in terms of number of parameters (by 5-60 times), and FLoating point Operations Per Second (by 10-100 times) on several major benchmark datasets, fully embracing the green AI.Source: Expert systems (Online) (2023). doi:10.1111/exsy.13424
DOI: 10.1111/exsy.13424
Metrics:
See at:
onlinelibrary.wiley.com | ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
Revisiting ensembling for improving the performance of deep learning models
Bruno A., Moroni D., Martinelli M.
Ensembling is a very well-known strategy consisting in fusing several different models to achieve a new model for classification or regression tasks. Over the years, ensembling has been proven to provide superior performance in various contexts related to pattern recognition and artificial intelligence. Moreover, the basic ideas that are at the basis of ensembling have been a source of inspiration for the design of the most recent deep learning architectures. Indeed, a close analysis of those architectures shows that some connections among layers and groups of layers achieve effects similar to those obtainable by bagging, boosting and stacking, which are the well-known three basic approaches to ensembling. However, we argue that research has not fully leveraged the potential offered by ensembling. Indeed, this paper investigates some possible approaches to the combination of weak learners, or sub-components of weak learners, in the context of bagging. Based on previous results obtained in specific domains, we extend the approach to a reference dataset obtaining encouraging results.Source: ICPR 2022 - International Conference on Pattern Recognition, pp. 445–452, Montreal, Canada, 21-25/08/2022
DOI: 10.1007/978-3-031-37742-6_34
Metrics:
Bruno A., Moroni D., Martinelli M.
Ensembling is a very well-known strategy consisting in fusing several different models to achieve a new model for classification or regression tasks. Over the years, ensembling has been proven to provide superior performance in various contexts related to pattern recognition and artificial intelligence. Moreover, the basic ideas that are at the basis of ensembling have been a source of inspiration for the design of the most recent deep learning architectures. Indeed, a close analysis of those architectures shows that some connections among layers and groups of layers achieve effects similar to those obtainable by bagging, boosting and stacking, which are the well-known three basic approaches to ensembling. However, we argue that research has not fully leveraged the potential offered by ensembling. Indeed, this paper investigates some possible approaches to the combination of weak learners, or sub-components of weak learners, in the context of bagging. Based on previous results obtained in specific domains, we extend the approach to a reference dataset obtaining encouraging results.Source: ICPR 2022 - International Conference on Pattern Recognition, pp. 445–452, Montreal, Canada, 21-25/08/2022
DOI: 10.1007/978-3-031-37742-6_34
Metrics:
See at:
ISTI Repository | link.springer.com 
| CNR ExploRA
2023
Dataset
Unknown
A phenotyping weeds image dataset for open scientific research
Dainelli R., Martinelli M., Bruno A., Moroni D., Morelli S., Silvestri M., Ferrari E., Rocchi L., Toscano P.
This in-house-built image dataset consists of 10810 weed images captured through a dedicated phenotyping activity in quasi-field conditions. The targets are seven of the most widespread and hard-to-control weeds in wheat (but also in other winter cereals) in the Mediterranean environment. In the framework of open scientific research, our aim is to share low-cost and high-resolution images representing challenging agricultural environments where weather, lighting and other factors can change by the hour and affect the quality of images. This way the dataset could be used to train Artificial Intelligence architectures designed for weed recognition, allowing the implementation of tools directly available in the field for farmers and technicians for effective and timely weed management. The dataset encompasses weed images ranging from the post-emergence phase (i.e. the complete cotyledons unfolding) until the pre-flowering stage. The weed selection was made by considering (i) bottom-up information and specific requests by farmers and technicians, (ii) weed susceptibility to commercial formulations for chemical control <50%, reported at least twice by field technicians, (iii) the difficulty of control considering any methods, and (iv) the type of growing season (overlapping or not with wheat). The final weeds selection encompassed both monocots (Avena sterilis and Lolium multiflorum) and dicots (Convolvulus arvensis, Fumaria officinalis, Papaver rhoeas, Veronica persica and Vicia sativa). Image acquisition was facilitated by using a white panel as a background; this helped to (i) spread the light and thereby make the plants well-illuminated, while still avoiding strong shadows when using the flash and (ii) simplify image processing. The images were acquired with a Canon EOS 700D hand-held camera set in the macro mode with aperture, shutter speed, ISO and flash in auto mode. Photo capture timing, target distances and light conditions did not have a fixed pattern but were deliberately programmed to vary in such a way as to mimic field conditions. For image shooting at various times of the day, the only precaution was to frame the subject with homogeneous light conditions (full sunlight/full shade). The varied outdoor conditions (light, distance, timing) and camera type (RGB) with auto mode were essential features to make the images photos look similar to those that a user can take in a field, for example with a smartphone camera. After selection and categorization, images were cropped to select the region of interest following the 1:1 ratio but maintaining a minimum size of 512 x 512 pixels. More details on the dataset and its use for weed recognition tasks will be soon available in the proceedings of the forthcoming ECPA conference (2-6 July 2023, Bologna, Italy).
Dainelli R., Martinelli M., Bruno A., Moroni D., Morelli S., Silvestri M., Ferrari E., Rocchi L., Toscano P.
This in-house-built image dataset consists of 10810 weed images captured through a dedicated phenotyping activity in quasi-field conditions. The targets are seven of the most widespread and hard-to-control weeds in wheat (but also in other winter cereals) in the Mediterranean environment. In the framework of open scientific research, our aim is to share low-cost and high-resolution images representing challenging agricultural environments where weather, lighting and other factors can change by the hour and affect the quality of images. This way the dataset could be used to train Artificial Intelligence architectures designed for weed recognition, allowing the implementation of tools directly available in the field for farmers and technicians for effective and timely weed management. The dataset encompasses weed images ranging from the post-emergence phase (i.e. the complete cotyledons unfolding) until the pre-flowering stage. The weed selection was made by considering (i) bottom-up information and specific requests by farmers and technicians, (ii) weed susceptibility to commercial formulations for chemical control <50%, reported at least twice by field technicians, (iii) the difficulty of control considering any methods, and (iv) the type of growing season (overlapping or not with wheat). The final weeds selection encompassed both monocots (Avena sterilis and Lolium multiflorum) and dicots (Convolvulus arvensis, Fumaria officinalis, Papaver rhoeas, Veronica persica and Vicia sativa). Image acquisition was facilitated by using a white panel as a background; this helped to (i) spread the light and thereby make the plants well-illuminated, while still avoiding strong shadows when using the flash and (ii) simplify image processing. The images were acquired with a Canon EOS 700D hand-held camera set in the macro mode with aperture, shutter speed, ISO and flash in auto mode. Photo capture timing, target distances and light conditions did not have a fixed pattern but were deliberately programmed to vary in such a way as to mimic field conditions. For image shooting at various times of the day, the only precaution was to frame the subject with homogeneous light conditions (full sunlight/full shade). The varied outdoor conditions (light, distance, timing) and camera type (RGB) with auto mode were essential features to make the images photos look similar to those that a user can take in a field, for example with a smartphone camera. After selection and categorization, images were cropped to select the region of interest following the 1:1 ratio but maintaining a minimum size of 512 x 512 pixels. More details on the dataset and its use for weed recognition tasks will be soon available in the proceedings of the forthcoming ECPA conference (2-6 July 2023, Bologna, Italy).
See at: CNR ExploRA | zenodo.org
2023
Conference article
Closed Access
Recognition of weeds in cereals using AI architecture
Dainelli R., Martinelli M., Bruno A., Moroni D., Morelli S., Silvestri M., Ferrari E., Rocchi L., Toscano P.
In this study, an automatic system based on open AI architectures was developed and fed with an in-house built image dataset to recognize seven of the most widespread and hard-to-control weeds in wheat in the Mediterranean environment. A total of 10810 images were collected from the post-emergence (S1 dataset) to the pre-flowering stage (S2 dataset). A selection of pictures available from online sources (S3, 825 images) was used as a final and further independent test of the proposed recognition tool. The AI tool in the ensemble configuration achieved 100% accuracy on the validation and test set both for S1 and S2, while for S3 an accuracy of approximately 70% was achieved for weed species in the post-emergence stage.Source: ECPA 2023 - The 14th European Conference on Precision Agriculture - Unleashing the Potential of Precision Agriculture, pp. 401–407, Bologna, Italy, 2/7/2023- 6/7/2023
DOI: 10.3920/978-90-8686-947-3_49
Metrics:
Dainelli R., Martinelli M., Bruno A., Moroni D., Morelli S., Silvestri M., Ferrari E., Rocchi L., Toscano P.
In this study, an automatic system based on open AI architectures was developed and fed with an in-house built image dataset to recognize seven of the most widespread and hard-to-control weeds in wheat in the Mediterranean environment. A total of 10810 images were collected from the post-emergence (S1 dataset) to the pre-flowering stage (S2 dataset). A selection of pictures available from online sources (S3, 825 images) was used as a final and further independent test of the proposed recognition tool. The AI tool in the ensemble configuration achieved 100% accuracy on the validation and test set both for S1 and S2, while for S3 an accuracy of approximately 70% was achieved for weed species in the post-emergence stage.Source: ECPA 2023 - The 14th European Conference on Precision Agriculture - Unleashing the Potential of Precision Agriculture, pp. 401–407, Bologna, Italy, 2/7/2023- 6/7/2023
DOI: 10.3920/978-90-8686-947-3_49
Metrics:
See at:
doi.org | www.wageningenacademic.com | CNR ExploRA
2023
Report
Unknown
Relazione conclusiva attività svolte nel periodo Gennaio 2020 - Gennario 2023. Accordo CNR-ISTI SIMeM
Martinelli M., Pratali L.
Relazione conclusiva attività svolte nel periodo Gennaio 2020 - Gennario 2023. Accordo CNR-ISTI SIMeMSource: ISTI Project reports, 2023
Martinelli M., Pratali L.
Relazione conclusiva attività svolte nel periodo Gennaio 2020 - Gennario 2023. Accordo CNR-ISTI SIMeMSource: ISTI Project reports, 2023
See at: CNR ExploRA
2023
Report
Unknown
Artificial intelligence for image classification of wheat's phytopathologies, pests and infestants
Bruno A., Martinelli M., Moroni D., Rocchi L., Morelli S., Ferrari E., Toscano P., Dainelli R.
In this work we present a solution to deal with issues related to wheat cultures: diseases, abiotic damages, weeds and pests. The core of this work is the EfficientNet architecture, in particular the b0 version which is the one with best accuracy/complexity ratio in our opinion. Results show that in this way accuracies are improved by +2% up to +10% while the complexity is unchanged. The models presented and tested during this work have been deployed and can be tested by using the mobile app Granoscan.Source: ISTI Working papers, 2023
Bruno A., Martinelli M., Moroni D., Rocchi L., Morelli S., Ferrari E., Toscano P., Dainelli R.
In this work we present a solution to deal with issues related to wheat cultures: diseases, abiotic damages, weeds and pests. The core of this work is the EfficientNet architecture, in particular the b0 version which is the one with best accuracy/complexity ratio in our opinion. Results show that in this way accuracies are improved by +2% up to +10% while the complexity is unchanged. The models presented and tested during this work have been deployed and can be tested by using the mobile app Granoscan.Source: ISTI Working papers, 2023
See at: CNR ExploRA
2023
Conference article
Open Access
Medical waste sorting: a computer vision approach for assisted primary sorting
Bruno A., Caudai C., Leone G. R., Martinelli M., Moroni D., Crotti F.
Medical waste, i.e. waste produced during medical activities in hospitals, clinics and laboratories, represents hazardous waste whose management requires special care and high costs. However, this kind of waste contains a large fraction of highly valued materials that can enter a circular economy process. To this end, in this paper, we propose a computer vision approach for assisting in the primary sorting of med- ical waste. The feasibility of our approach is demonstrated on representative datasets we collected and made available to the community.Source: IWCIM2023 - 11th International Workshop on Computational Intelligence for Multimedia Understanding, Rhodes Island, Greece, 05/06/2023
DOI: 10.1109/icasspw59220.2023.10193520
Metrics:
Bruno A., Caudai C., Leone G. R., Martinelli M., Moroni D., Crotti F.
Medical waste, i.e. waste produced during medical activities in hospitals, clinics and laboratories, represents hazardous waste whose management requires special care and high costs. However, this kind of waste contains a large fraction of highly valued materials that can enter a circular economy process. To this end, in this paper, we propose a computer vision approach for assisting in the primary sorting of med- ical waste. The feasibility of our approach is demonstrated on representative datasets we collected and made available to the community.Source: IWCIM2023 - 11th International Workshop on Computational Intelligence for Multimedia Understanding, Rhodes Island, Greece, 05/06/2023
DOI: 10.1109/icasspw59220.2023.10193520
Metrics:
See at:
ISTI Repository | ieeexplore.ieee.org | CNR ExploRA
2023
Journal article
Open Access
Efficient lung ultrasound classification
Bruno A., Ignesti G., Salvetti O., Moroni D., Martinelli M.
A machine learning method for classifying Lung UltraSound is here proposed to provide a point of care tool for supporting a safe, fast and accurate diagnosis, that can also be useful during a pandemic like as SARS-CoV-2. Given the advantages (e.g. safety, rapidity, portability, cost-effectiveness) provided by the ultrasound technology over other methods (e.g. X-ray, computer tomography, magnetic resonance imaging), our method was validated on the largest LUS public dataset. Focusing on both accuracy and efficiency, our solution is based on an efficient adaptive ensembling of two EfficientNet-b0 models reaching 100% of accuracy, which, to our knowledge, outperforms the previous state-of-the-art. The complexity of this solution keeps the number of parameters in the same order as an EfficientNet-b0 by adopting specific design choices that are adaptive ensembling with a combination layer, ensembling performed on the deep features, minimal ensemble only two weak models. Moreover, a visual analysis of the saliency maps on sample images of all the classes of the dataset reveals where the focus is on an inaccurate weak model versus an accurate model.Source: Bioengineering (Basel) 10 (2023). doi:10.3390/bioengineering10050555
DOI: 10.3390/bioengineering10050555
Metrics:
Bruno A., Ignesti G., Salvetti O., Moroni D., Martinelli M.
A machine learning method for classifying Lung UltraSound is here proposed to provide a point of care tool for supporting a safe, fast and accurate diagnosis, that can also be useful during a pandemic like as SARS-CoV-2. Given the advantages (e.g. safety, rapidity, portability, cost-effectiveness) provided by the ultrasound technology over other methods (e.g. X-ray, computer tomography, magnetic resonance imaging), our method was validated on the largest LUS public dataset. Focusing on both accuracy and efficiency, our solution is based on an efficient adaptive ensembling of two EfficientNet-b0 models reaching 100% of accuracy, which, to our knowledge, outperforms the previous state-of-the-art. The complexity of this solution keeps the number of parameters in the same order as an EfficientNet-b0 by adopting specific design choices that are adaptive ensembling with a combination layer, ensembling performed on the deep features, minimal ensemble only two weak models. Moreover, a visual analysis of the saliency maps on sample images of all the classes of the dataset reveals where the focus is on an inaccurate weak model versus an accurate model.Source: Bioengineering (Basel) 10 (2023). doi:10.3390/bioengineering10050555
DOI: 10.3390/bioengineering10050555
Metrics:
See at:
ISTI Repository | www.mdpi.com | CNR ExploRA
2023
Conference article
Open Access
Efficient deep learning approach for olive disease classification
Bruno A., Moroni D., Martinelli M.
From ancient times olive tree cultivation has been one of the most crucial agricultural activities for Mediterranean countries. In recent years, the role of Artificial Intelligence in agriculture is increasing: its use ranges from monitoring of cultivated soil, to irrigation management, to yield prediction, to autonomous agricultural robots, to weed and pest classification and management, for example, by taking pictures using a standard smartphone or an unmanned aerial vehicle , and all this eases human work and makes it even more accessible. In this work, a method is proposed for olive disease classification, based on an adaptive ensemble of two EfficientNet-b0 models, that improves the state-of-the-art accuracy on a publicly available dataset by 1.6-2.6%. Both in terms of the number of parameters and the number of operations, our method reduces complexity roughly by 50% and 80%, respectively, that is a level not seen in at least a decade. Due to its efficiency, this method is also embeddable into a smartphone application for real-time processing.Source: ACSIS 2023 - 18th Conference on Computer Science and Intelligence Systems, pp. 889–894, Warsaw, Poland, 17-20/9/2023
DOI: 10.15439/2023f4794
Metrics:
Bruno A., Moroni D., Martinelli M.
From ancient times olive tree cultivation has been one of the most crucial agricultural activities for Mediterranean countries. In recent years, the role of Artificial Intelligence in agriculture is increasing: its use ranges from monitoring of cultivated soil, to irrigation management, to yield prediction, to autonomous agricultural robots, to weed and pest classification and management, for example, by taking pictures using a standard smartphone or an unmanned aerial vehicle , and all this eases human work and makes it even more accessible. In this work, a method is proposed for olive disease classification, based on an adaptive ensemble of two EfficientNet-b0 models, that improves the state-of-the-art accuracy on a publicly available dataset by 1.6-2.6%. Both in terms of the number of parameters and the number of operations, our method reduces complexity roughly by 50% and 80%, respectively, that is a level not seen in at least a decade. Due to its efficiency, this method is also embeddable into a smartphone application for real-time processing.Source: ACSIS 2023 - 18th Conference on Computer Science and Intelligence Systems, pp. 889–894, Warsaw, Poland, 17-20/9/2023
DOI: 10.15439/2023f4794
Metrics:
See at:
ISTI Repository | annals-csis.org | CNR ExploRA
2023
Report
Unknown
Artificial Intelligence in TiAssisto: first results
Ignesti G., Bruno A., Deri C., D'Angelo G., Salvetti O., Moroni D., Pratali L., Martinelli M.
Artificial Intelligence (AI) is integrated into medical applications since its beginning. The advent of deep learning algorithms, powerful computation power and large datasets has made possible the development of numerous new medical applications. A significant part of these applications is focused on the classification or on the segmentation of medical images. In this paper we present an innovative solution for clinical images classification.Source: ISTI Working papers, 2023
Ignesti G., Bruno A., Deri C., D'Angelo G., Salvetti O., Moroni D., Pratali L., Martinelli M.
Artificial Intelligence (AI) is integrated into medical applications since its beginning. The advent of deep learning algorithms, powerful computation power and large datasets has made possible the development of numerous new medical applications. A significant part of these applications is focused on the classification or on the segmentation of medical images. In this paper we present an innovative solution for clinical images classification.Source: ISTI Working papers, 2023
See at: CNR ExploRA
2023
Contribution to journal
Open Access
Editorial: Artificial Intelligence in point of care diagnostics
Martinelli M., Moroni D., Prochazka A., Strojnik M.
Source: Frontiers in digital health 5 (2023). doi:10.3389/fdgth.2023.1236178
DOI: 10.3389/fdgth.2023.1236178
Metrics:
Martinelli M., Moroni D., Prochazka A., Strojnik M.
Source: Frontiers in digital health 5 (2023). doi:10.3389/fdgth.2023.1236178
DOI: 10.3389/fdgth.2023.1236178
Metrics:
See at:
ISTI Repository | www.frontiersin.org | CNR ExploRA
2023
Contribution to book
Open Access
Improving plant disease classification by adaptive minimal ensembling
Bruno A., Moroni D., Dainelli R., Rocchi L., Toscano P., Morelli S., Ferrari E., Martinelli M.
A novel method for improving plant disease classification, a challenging and time-consuming process, is proposed. First, using as baseline EfficientNet, a recent and advanced family of architectures having an excellent accuracy/complexity trade-off, we have introduced, devised, and applied refined techniques based on transfer learning, regularization, stratification, weighted metrics, and advanced optimizers in order to achieve improved performance. Then, we go further by introducing adaptive minimal ensembling, which is a unique input to the knowledge base of the proposed solution. This represents a leap forward since it allows improving the accuracy with limited complexity using only two EfficientNet-b0 weak models, performing ensembling on feature vectors by a trainable layer instead of classic aggregation on outputs. To the best of our knowledge, such an approach to ensembling has never been used before in literature. Our method was tested on PlantVillage, a public reference dataset used for benchmarking models' performances for crop disease diagnostic, considering both its original and augmented versions. We noticeably improved the state of the art by achieving 100% accuracy in both the original and augmented datasets. Results were obtained using PyTorch to train, test, and validate the models; reproducibility is granted by providing exhaustive details, including hyperparameters used in the experimentation. A Web interface is also made publicly available to test the proposed methods.Source: Computer vision in plant phenotyping and agriculture, edited by Valerio Giuffrida, Hanno Scharr, Ian Stavness, pp. 250–263. Lausanne: Frontiers media SA, 2023
Bruno A., Moroni D., Dainelli R., Rocchi L., Toscano P., Morelli S., Ferrari E., Martinelli M.
A novel method for improving plant disease classification, a challenging and time-consuming process, is proposed. First, using as baseline EfficientNet, a recent and advanced family of architectures having an excellent accuracy/complexity trade-off, we have introduced, devised, and applied refined techniques based on transfer learning, regularization, stratification, weighted metrics, and advanced optimizers in order to achieve improved performance. Then, we go further by introducing adaptive minimal ensembling, which is a unique input to the knowledge base of the proposed solution. This represents a leap forward since it allows improving the accuracy with limited complexity using only two EfficientNet-b0 weak models, performing ensembling on feature vectors by a trainable layer instead of classic aggregation on outputs. To the best of our knowledge, such an approach to ensembling has never been used before in literature. Our method was tested on PlantVillage, a public reference dataset used for benchmarking models' performances for crop disease diagnostic, considering both its original and augmented versions. We noticeably improved the state of the art by achieving 100% accuracy in both the original and augmented datasets. Results were obtained using PyTorch to train, test, and validate the models; reproducibility is granted by providing exhaustive details, including hyperparameters used in the experimentation. A Web interface is also made publicly available to test the proposed methods.Source: Computer vision in plant phenotyping and agriculture, edited by Valerio Giuffrida, Hanno Scharr, Ian Stavness, pp. 250–263. Lausanne: Frontiers media SA, 2023
See at:
ISTI Repository | www.frontiersin.org | CNR ExploRA
2023
Journal article
Open Access
Explaining ensemble models for lung ultrasound classification
Bruno A., Ignesti G, Martinelli M.
Correct classification is the main aspect in evaluating the quality of an artificial intelligence system, but what happens when you reach top accuracy and no method explains how it works? In our study, we aim at addressing the black-box problem using an ad-hoc built classifier for lung ultrasound images.Source: ERCIM news 134 (2023).
Bruno A., Ignesti G, Martinelli M.
Correct classification is the main aspect in evaluating the quality of an artificial intelligence system, but what happens when you reach top accuracy and no method explains how it works? In our study, we aim at addressing the black-box problem using an ad-hoc built classifier for lung ultrasound images.Source: ERCIM news 134 (2023).
See at:
ercim-news.ercim.eu | ISTI Repository | CNR ExploRA
2023
Report
Open Access
Are we using autoencoders in a wrong way?
Martino G., Moroni D., Martinelli M.
Autoencoders are certainly among the most studied and used Deep Learning models: the idea behind them is to train a model in order to reconstruct the same input data. The peculiarity of these models is to compress the information through a bottleneck, creating what is called Latent Space. Autoencoders are generally used for dimensionality reduction, anomaly detection and feature extraction. These models have been extensively studied and updated, given their high simplicity and power. Examples are (i) the Denoising Autoencoder, where the model is trained to reconstruct an image from a noisy one; (ii) Sparse Autoencoder, where the bottleneck is created by a regularization term in the loss function; (iii) Variational Autoencoder, where the latent space is used to generate new consistent data. In this article, we revisited the standard training for the undercomplete Autoencoder modifying the shape of the latent space without using any explicit regularization term in the loss function. We forced the model to reconstruct not the same observation in input, but another one sampled from the same class distribution. We also explored the behaviour of the latent space in the case of reconstruction of a random sample from the whole dataset.Source: ISTI Working papers, 2023
DOI: 10.48550/arxiv.2309.01532
Metrics:
Martino G., Moroni D., Martinelli M.
Autoencoders are certainly among the most studied and used Deep Learning models: the idea behind them is to train a model in order to reconstruct the same input data. The peculiarity of these models is to compress the information through a bottleneck, creating what is called Latent Space. Autoencoders are generally used for dimensionality reduction, anomaly detection and feature extraction. These models have been extensively studied and updated, given their high simplicity and power. Examples are (i) the Denoising Autoencoder, where the model is trained to reconstruct an image from a noisy one; (ii) Sparse Autoencoder, where the bottleneck is created by a regularization term in the loss function; (iii) Variational Autoencoder, where the latent space is used to generate new consistent data. In this article, we revisited the standard training for the undercomplete Autoencoder modifying the shape of the latent space without using any explicit regularization term in the loss function. We forced the model to reconstruct not the same observation in input, but another one sampled from the same class distribution. We also explored the behaviour of the latent space in the case of reconstruction of a random sample from the whole dataset.Source: ISTI Working papers, 2023
DOI: 10.48550/arxiv.2309.01532
Metrics:
See at:
ISTI Repository | CNR ExploRA
2023
Conference article
Open Access
Deep learning methods for point-of-care ultrasound examination
Ignesti G., Deri C., D'Angelo G., Pratali L., Bruno A., Benassi A., Salvetti O., Moroni D., Martinelli M.
Point-of-care Test (POCT) is the delivery of medical care at or near the patient's bedside. Primarily employed in emergencies, where rapid diagnosis and treatment are critical, POCT is now being used in domestic telehealth solutions, as in the TiAssisto project, thanks to technological advances such as the development of portable and affordable devices, high-speed Internet connections, video conferencing, and Artificial Intelligence (AI). Ultrasound (US) images of internal organs and structures are valuable tools in POCT medicine since this examination is portable, quick, and cost-effective. USs can help diagnose different conditions, including heart problems, abdominal pain, and pneumonia. Deep learning algorithms have proven to be highly effective in image recognition, enabling physicians to make informed decisions on-site. This article presents and investigates a decision support system based on deep learning algorithms. The primary aim of this research is to detect various signs in US images using cutting-edge classification methods. The proposed pipeline initially adopts an optical character recognition (OCR) algorithm: this technique inspects and cleans the US image, ensuring privacy and better classification potential. The collected images are forwarded to a state-of-the-art (SOTA) deep learning network, a fine-tuned EfficientNET-b0, able to detect any signs potentially related to pathology in a rapid way. The network classification is then assessed in the pipeline using a visual explanation method, i.e. Grad-CAM, to evaluate if the proper medical signs were identified, offering a quick and effective second opinion. The involved physician's feedback remarks that this system can detect important signs in pulmonary US imaging, although the dataset is not yet the final one since the TiAssisto project is still ongoing, with a planned conclusion in February 2024. Our ultimate goal is not merely to develop a classification system but to create an effective healthcare support system that can be used beyond primary healthcare facilities.Source: SITIS 2023 - 17th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 436–441, Bangkok, Thailand, 8-10/11/2023
DOI: 10.1109/sitis61268.2023.00078
Metrics:
Ignesti G., Deri C., D'Angelo G., Pratali L., Bruno A., Benassi A., Salvetti O., Moroni D., Martinelli M.
Point-of-care Test (POCT) is the delivery of medical care at or near the patient's bedside. Primarily employed in emergencies, where rapid diagnosis and treatment are critical, POCT is now being used in domestic telehealth solutions, as in the TiAssisto project, thanks to technological advances such as the development of portable and affordable devices, high-speed Internet connections, video conferencing, and Artificial Intelligence (AI). Ultrasound (US) images of internal organs and structures are valuable tools in POCT medicine since this examination is portable, quick, and cost-effective. USs can help diagnose different conditions, including heart problems, abdominal pain, and pneumonia. Deep learning algorithms have proven to be highly effective in image recognition, enabling physicians to make informed decisions on-site. This article presents and investigates a decision support system based on deep learning algorithms. The primary aim of this research is to detect various signs in US images using cutting-edge classification methods. The proposed pipeline initially adopts an optical character recognition (OCR) algorithm: this technique inspects and cleans the US image, ensuring privacy and better classification potential. The collected images are forwarded to a state-of-the-art (SOTA) deep learning network, a fine-tuned EfficientNET-b0, able to detect any signs potentially related to pathology in a rapid way. The network classification is then assessed in the pipeline using a visual explanation method, i.e. Grad-CAM, to evaluate if the proper medical signs were identified, offering a quick and effective second opinion. The involved physician's feedback remarks that this system can detect important signs in pulmonary US imaging, although the dataset is not yet the final one since the TiAssisto project is still ongoing, with a planned conclusion in February 2024. Our ultimate goal is not merely to develop a classification system but to create an effective healthcare support system that can be used beyond primary healthcare facilities.Source: SITIS 2023 - 17th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 436–441, Bangkok, Thailand, 8-10/11/2023
DOI: 10.1109/sitis61268.2023.00078
Metrics:
See at:
ISTI Repository | CNR ExploRA
2023
Contribution to conference
Restricted
Efficient lung ultrasound classification
Ignesti G., Bruno A., Martinelli M., Moroni D.
The SARS-CoV-2 pandemic has taught us that point-of-care signs quickly or in remote settings are essential. Ultrasound imaging is a fast and common diagnostic tool, which made it a popular choice during the pandemic. Our team implemented a deep learning algorithm with remarkable accuracy (100%) to detect signs of COVID-19 and bacterial pneumonia, which can better assist physicians. GradCAM was employed to examine the outcomes and determine whether the network relied on dependable medical indicators for classification.Source: VISMAC 2023 - International Summer School on Machine Vision, Padova, Italy, 04-08/09/2023
Ignesti G., Bruno A., Martinelli M., Moroni D.
The SARS-CoV-2 pandemic has taught us that point-of-care signs quickly or in remote settings are essential. Ultrasound imaging is a fast and common diagnostic tool, which made it a popular choice during the pandemic. Our team implemented a deep learning algorithm with remarkable accuracy (100%) to detect signs of COVID-19 and bacterial pneumonia, which can better assist physicians. GradCAM was employed to examine the outcomes and determine whether the network relied on dependable medical indicators for classification.Source: VISMAC 2023 - International Summer School on Machine Vision, Padova, Italy, 04-08/09/2023
See at:
vismac23.github.io | CNR ExploRA
2023
Contribution to conference
Open Access
Trustworthy AI for signals and image processing: a telemedicine perspective
Ignesti G., Bruno A., Moroni D., Martinelli M.
Artficial Intelligence is showing unprecedented performance in signals & image processing. Classification, segmentation and generative process seem to have unlimited potential. The roots of Artificial Intelligence are deep in scientific history, but in the world of Big Data and Internet 5.0, its use and effects have yet to be entirely tested. The black box problem, security, privacy issues, and public opinion are some of the factors that push towards the development of a new concept: "Trustworthy AI". The use of advanced methods, such as EfficientNet & GradCAM, leads to remarkable accuracy and consistent explanation in the classification of ultrasound. Further studies aim at analyzing results could lead to a more robust application of AI in the generalized field of signal and image processing and will lay the foundation for future work on reliable AI.Source: AI & Society 2023 Summer School, La Maddalena, Italy, 05-09/06/2023
Ignesti G., Bruno A., Moroni D., Martinelli M.
Artficial Intelligence is showing unprecedented performance in signals & image processing. Classification, segmentation and generative process seem to have unlimited potential. The roots of Artificial Intelligence are deep in scientific history, but in the world of Big Data and Internet 5.0, its use and effects have yet to be entirely tested. The black box problem, security, privacy issues, and public opinion are some of the factors that push towards the development of a new concept: "Trustworthy AI". The use of advanced methods, such as EfficientNet & GradCAM, leads to remarkable accuracy and consistent explanation in the classification of ultrasound. Further studies aim at analyzing results could lead to a more robust application of AI in the generalized field of signal and image processing and will lay the foundation for future work on reliable AI.Source: AI & Society 2023 Summer School, La Maddalena, Italy, 05-09/06/2023
See at:
ISTI Repository | sites.google.com | CNR ExploRA
2023
Report
Unknown
Study and development of trustworthy AI application in Medicine
Ignesti G., Moroni D., Martinelli M.
National PhD in Artificial Intelligence, section for Society, first year report.Source: ISTI Working papers, 2023
Ignesti G., Moroni D., Martinelli M.
National PhD in Artificial Intelligence, section for Society, first year report.Source: ISTI Working papers, 2023
See at: CNR ExploRA
2023
Journal article
Unknown
Remote sensing for maritime traffic understanding
Reggiannini M., Salerno E., Bacciu C., D'Errico A., Lo Duca A., Marchetti A., Martinelli M., Mercurio C., Mistretta A., Righi M., Tampucci M., Di Paola C.
The capability of prompt response in case of critical circumstances occurring within a maritime scenario depends on the awareness level of the competent authorities. From this perspective a quick and integrated surveillance service represents a tool of utmost importance. This is even more true when the main purpose is to tackle illegal activities such as smuggling, waste flooding or malicious vessel trafficking. This work presents an improved version of the OSIRIS system, a previously developed ICT framework devoted to understand the maritime vessel traffic through the exploitation of optical and radar data captured by satellite imaging sensors. A number of dedicated processing units are cascaded with the objective of i) detecting the presence of vessel targets in the input imagery, ii) estimating the vessel types on the basis of their geometric and scatterometric features, iii) estimating the vessel kinematics, iv) classifying the navigation behaviour of the vessel and predicting its route and, eventually, v) integrating the several outcomes within a webGIS interface to easily assess the traffic status inside the considered area. The entire processing pipeline has been tested on satellite imagery captured within the Mediterranean Sea or extracted from public, annotated data sets.Source: Remote sensing (Basel) (2023).
Reggiannini M., Salerno E., Bacciu C., D'Errico A., Lo Duca A., Marchetti A., Martinelli M., Mercurio C., Mistretta A., Righi M., Tampucci M., Di Paola C.
The capability of prompt response in case of critical circumstances occurring within a maritime scenario depends on the awareness level of the competent authorities. From this perspective a quick and integrated surveillance service represents a tool of utmost importance. This is even more true when the main purpose is to tackle illegal activities such as smuggling, waste flooding or malicious vessel trafficking. This work presents an improved version of the OSIRIS system, a previously developed ICT framework devoted to understand the maritime vessel traffic through the exploitation of optical and radar data captured by satellite imaging sensors. A number of dedicated processing units are cascaded with the objective of i) detecting the presence of vessel targets in the input imagery, ii) estimating the vessel types on the basis of their geometric and scatterometric features, iii) estimating the vessel kinematics, iv) classifying the navigation behaviour of the vessel and predicting its route and, eventually, v) integrating the several outcomes within a webGIS interface to easily assess the traffic status inside the considered area. The entire processing pipeline has been tested on satellite imagery captured within the Mediterranean Sea or extracted from public, annotated data sets.Source: Remote sensing (Basel) (2023).
See at: CNR ExploRA
2023
Other
Unknown
Intelligenza Artificiale
Martinelli M.
Materiale didattico per le scuole, presentato nella giornata La Primavera della Ricerca.
Martinelli M.
Materiale didattico per le scuole, presentato nella giornata La Primavera della Ricerca.
See at: CNR ExploRA
2023
Report
Unknown
Accordo CNR-ISTI - CST-CAI: Prima relazione attività
Martinelli M., Dell'Orso R., Ducci F.
Relazione sull'attività effettuata.Source: ISTI Project report, Accordo ISTI-CAI, 2023
Martinelli M., Dell'Orso R., Ducci F.
Relazione sull'attività effettuata.Source: ISTI Project report, Accordo ISTI-CAI, 2023
See at: CNR ExploRA
2023
Other
Unknown
Imparare a riconoscere le infestanti del grano
Pardini F., Martinelli M.
Materiale didattico utilizzato all'evento La primavera della Ricerca, tenuto a Pisa il 12 maggio 2023.
Pardini F., Martinelli M.
Materiale didattico utilizzato all'evento La primavera della Ricerca, tenuto a Pisa il 12 maggio 2023.
See at: laprimaveradellaricerca.cnr.it | CNR ExploRA
2022
Journal article
Open Access
Improving plant disease classification by adaptive minimal ensembling
Bruno A., Moroni D., Dainelli R., Rocchi L., Toscano P., Morelli S., Ferrari E., Martinelli M.
A novel method for improving plant disease classification, a challenging and time-consuming process, is proposed. First, using as baseline EfficientNet, a recent and advanced family of architectures having an excellent accuracy/complexity trade-off, we have introduced, devised, and applied refined techniques based on transfer learning, regularization, stratification, weighted metrics, and advanced optimizers in order to achieve improved performance. Then, we go further by introducing adaptive minimal ensembling, which is a unique input to the knowledge base of the proposed solution. This represents a leap forward since it allows improving the accuracy with limited complexity using only two EfficientNet-b0 weak models, performing ensembling on feature vectors by a trainable layer instead of classic aggregation on outputs. To the best of our knowledge, such an approach to ensembling has never been used before in literature. Our method was tested on PlantVillage, a public reference dataset used for benchmarking models' performances for crop disease diagnostic, considering both its original and augmented versions. We noticeably improved the state of the art by achieving 100% accuracy in both the original and augmented datasets. Results were obtained using PyTorch to train, test, and validate the models; reproducibility is granted by providing exhaustive details, including hyperparameters used in the experimentation. A Web interface is also made publicly available to test the proposed methods.Source: Frontiers in artificial intelligence (2022). doi:10.3389/frai.2022.868926
DOI: 10.3389/frai.2022.868926
Metrics:
Bruno A., Moroni D., Dainelli R., Rocchi L., Toscano P., Morelli S., Ferrari E., Martinelli M.
A novel method for improving plant disease classification, a challenging and time-consuming process, is proposed. First, using as baseline EfficientNet, a recent and advanced family of architectures having an excellent accuracy/complexity trade-off, we have introduced, devised, and applied refined techniques based on transfer learning, regularization, stratification, weighted metrics, and advanced optimizers in order to achieve improved performance. Then, we go further by introducing adaptive minimal ensembling, which is a unique input to the knowledge base of the proposed solution. This represents a leap forward since it allows improving the accuracy with limited complexity using only two EfficientNet-b0 weak models, performing ensembling on feature vectors by a trainable layer instead of classic aggregation on outputs. To the best of our knowledge, such an approach to ensembling has never been used before in literature. Our method was tested on PlantVillage, a public reference dataset used for benchmarking models' performances for crop disease diagnostic, considering both its original and augmented versions. We noticeably improved the state of the art by achieving 100% accuracy in both the original and augmented datasets. Results were obtained using PyTorch to train, test, and validate the models; reproducibility is granted by providing exhaustive details, including hyperparameters used in the experimentation. A Web interface is also made publicly available to test the proposed methods.Source: Frontiers in artificial intelligence (2022). doi:10.3389/frai.2022.868926
DOI: 10.3389/frai.2022.868926
Metrics:
See at:
ISTI Repository | ISTI Repository | www.frontiersin.org | CNR ExploRA
2022
Report
Unknown
Barilla Agrosat+ Aggiornamento 1/22
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, to-do list, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2022
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, to-do list, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2022
See at: CNR ExploRA
2022
Report
Unknown
Barilla Agrosat+ Aggiornamento 2/22
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, to-do list, progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2022
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, to-do list, progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2022
See at: CNR ExploRA
2022
Conference article
Open Access
Augmented reality, artificial intelligence and machine learning in Industry 4.0: case studies at SI-Lab
Bruno A, Coscetti S, Leone G. R., Germanese D., Magrini M., Martinelli M., Moroni D., Pascali M. A., Pieri G., Reggiannini M., Tampucci M.
In recent years, the impressive advances in artificial intelligence, computer vision, pervasive computing, and augmented reality made them rise to pillars of the fourth industrial revolution. This short paper aims to provide a brief survey of current use cases in factory applications and industrial inspection under active development at the Signals and Images Lab, ISTI-CNR, Pisa.Source: Ital-IA 2022 - Convegno nazionale CINI sull'Intelligenza Artificiale, Torino, Italy, 9-11/02/2022
DOI: 10.5281/zenodo.6322733
Metrics:
Bruno A, Coscetti S, Leone G. R., Germanese D., Magrini M., Martinelli M., Moroni D., Pascali M. A., Pieri G., Reggiannini M., Tampucci M.
In recent years, the impressive advances in artificial intelligence, computer vision, pervasive computing, and augmented reality made them rise to pillars of the fourth industrial revolution. This short paper aims to provide a brief survey of current use cases in factory applications and industrial inspection under active development at the Signals and Images Lab, ISTI-CNR, Pisa.Source: Ital-IA 2022 - Convegno nazionale CINI sull'Intelligenza Artificiale, Torino, Italy, 9-11/02/2022
DOI: 10.5281/zenodo.6322733
Metrics:
See at:
ISTI Repository | www.ital-ia2022.it | CNR ExploRA
2022
Report
Unknown
Barilla Agrosat+ : aggiornamento 4/22
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, riepilogo, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2022
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, riepilogo, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2022
See at: CNR ExploRA
2022
Report
Unknown
Barilla Agrosat+ : aggiornamento 3/22
Bruno A., Moroni D., Martinelli M.
Nuovo modello, miglioramenti, prossimi step progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2022
Bruno A., Moroni D., Martinelli M.
Nuovo modello, miglioramenti, prossimi step progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2022
See at: CNR ExploRA
2022
Contribution to conference
Open Access
Checkpoint pelle
Martinelli M., Mrackic Sposta S., Pratali L., Bergamo A.
Presentazione,in collaborazione con la Lega Italiana per la Lotta contro i Tumori (LILT), del Questionario Check Point pelle in occasione del 70-esimo Trento Film Festival 29 Aprile - 8 Maggio 2022, Trento, Italia.Source: 70-esimo Trento Film Festival, Trento, Italia, 29/04-8/05/2022
Martinelli M., Mrackic Sposta S., Pratali L., Bergamo A.
Presentazione,in collaborazione con la Lega Italiana per la Lotta contro i Tumori (LILT), del Questionario Check Point pelle in occasione del 70-esimo Trento Film Festival 29 Aprile - 8 Maggio 2022, Trento, Italia.Source: 70-esimo Trento Film Festival, Trento, Italia, 29/04-8/05/2022
See at:
checkpointpelle.isti.cnr.it | ISTI Repository | CNR ExploRA
2022
Other
Unknown
Tutorial per la piattaforma "TiAssisto" - Corso di formazione per il personale sanitario
Ignesti G., Bruno A., Martinelli M.
Corso di formazione per medici di medicina generale e il personale sanitario delle Residenze Sanitarie Assistenziali coinvolto nel progetto TiAssisto, Bando Covid-19 - Regione Toscana.
Ignesti G., Bruno A., Martinelli M.
Corso di formazione per medici di medicina generale e il personale sanitario delle Residenze Sanitarie Assistenziali coinvolto nel progetto TiAssisto, Bando Covid-19 - Regione Toscana.
See at: CNR ExploRA
2022
Journal article
Open Access
Exploring ensembling in deep learning
Bruno A., Martinelli M., Moroni D.
Ensembling is a very well-known strategy consisting in fusing several different models to achieve a new model for classification or regression tasks. Ensembling has been proven to provide superior performance in various contexts related to pattern recognition and artificial intelligence. The winners of public challenges in image analysis often adopt solutions based on Ensembling. The idea of Ensembling has also provided suggestions for introducing recent deep learning architectures with multiple layer connections that mimic ensembling approaches. However, the full potential offered by Ensembling is not yet fully exploited. This paper aims to explore possible research directions and define new fusion approaches. Preliminary experimental tests show favorable results with an increment in accuracy regarding the number of operations needed in training and inference.Source: Pattern recognition and image analysis 32 (2022): 519–521. doi:10.1134/S1054661822030087
DOI: 10.1134/s1054661822030087
Metrics:
Bruno A., Martinelli M., Moroni D.
Ensembling is a very well-known strategy consisting in fusing several different models to achieve a new model for classification or regression tasks. Ensembling has been proven to provide superior performance in various contexts related to pattern recognition and artificial intelligence. The winners of public challenges in image analysis often adopt solutions based on Ensembling. The idea of Ensembling has also provided suggestions for introducing recent deep learning architectures with multiple layer connections that mimic ensembling approaches. However, the full potential offered by Ensembling is not yet fully exploited. This paper aims to explore possible research directions and define new fusion approaches. Preliminary experimental tests show favorable results with an increment in accuracy regarding the number of operations needed in training and inference.Source: Pattern recognition and image analysis 32 (2022): 519–521. doi:10.1134/S1054661822030087
DOI: 10.1134/s1054661822030087
Metrics:
See at:
ISTI Repository | link.springer.com | CNR ExploRA
2022
Other
Unknown
Tutorial per la piattaforma "TiAssisto" - Corso di formazione per il personale sanitario - Aggiornamenti
Ignesti G., Bruno A., Martinelli M.
Corso di formazione per medici di medicina generale e il personale sanitario delle Residenze Sanitarie Assistenziali coinvolto nel progetto TiAssisto, Bando Covid-19 - Regione Toscana.
Ignesti G., Bruno A., Martinelli M.
Corso di formazione per medici di medicina generale e il personale sanitario delle Residenze Sanitarie Assistenziali coinvolto nel progetto TiAssisto, Bando Covid-19 - Regione Toscana.
See at: CNR ExploRA
2022
Report
Unknown
Una piattaforma di tele-assistenza e tele-monitoraggio di pazienti affetti da Covid-19 - Meeting Scientifico TiAssisto
Ignesti G., Martinelli M.
Presentazione meeting comitato scientifico progetto Regione Toscana Bando Covid-19 TiAssistoSource: ISTI Research report, 2022
Ignesti G., Martinelli M.
Presentazione meeting comitato scientifico progetto Regione Toscana Bando Covid-19 TiAssistoSource: ISTI Research report, 2022
See at: CNR ExploRA
2022
Report
Unknown
Barilla Agrosat+: Comunicazioni
Pardini F., Bruno A., Dainelli R., Rocchi L., Moroni D., Toscano P., Martinelli M.
Comunicazione dei risultati ottenuti.Source: ISTI Project report, Barilla Agrosat+, 2022
Pardini F., Bruno A., Dainelli R., Rocchi L., Moroni D., Toscano P., Martinelli M.
Comunicazione dei risultati ottenuti.Source: ISTI Project report, Barilla Agrosat+, 2022
See at: CNR ExploRA
2022
Report
Unknown
TiAssisto - Relazione tecnica di medio periodo
Pratali L., Martinelli M., Tomei A.
Relazione tecnica di medio periodo del progetto TiAssisto, Bando Covid-19 Regione Toscana.Source: ISTI Project report, TiAssisto, 2022
Pratali L., Martinelli M., Tomei A.
Relazione tecnica di medio periodo del progetto TiAssisto, Bando Covid-19 Regione Toscana.Source: ISTI Project report, TiAssisto, 2022
See at: CNR ExploRA
2022
Conference article
Open Access
An intelligent platform of services based on multimedia understanding and telehealth for supporting the management of SARS-CoV-2 multi-pathological patients
Ignesti G., Bruno A., Deri C., D'Angelo G., Bastiani L., Pratali L., Memmini S: Cicalini D., Dini A., Galesi G., Pardini F., Tampucci M., Benassi A., Salvetti O., Moroni D., Martinelli M.
The combination of pervasive sensing and multimedia understanding with the advances in communications makes it possible to conceive platforms of services for providing telehealth solutions responding to the current needs of society. The recent outbreak has indeed posed several concerns on the management of patients at home, urging to devise complex pathways to address the Severe Acute Respiratory Syndrome (SARS) in combination with the usual diseases of an increasingly elder population. In this paper, we present TiAssisto, a project aiming to design, develop, and validate an innovative and intelligent platform of services, having as its main objective to assist both Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) multi-pathological patients and healthcare professionals. This is achieved by researching and validating new methods to improve their lives and reduce avoidable hospitalisations. TiAssisto features telehealth and telemedicine solutions to enable high-quality standards treatments based on Information and Communication Technologies (ICT), Artificial Intelligence (AI) and Machine Learning (ML). Three hundred patients are involvedin our study: one half using our telehealth platform, while the other half participate as a control group for a correct validation. The developed AI models and the Decision Support System assist General Practitioners (GPs) and other healthcare professionals in order to help them in their diagnosis, by providing suggestions and pointing out possible presence or absence of signs that can be related to pathologies. Deep learning techniques are also used to detect the absence or presence of specific signs in lung ultrasound images.Source: SITIS 2022 - 16th International Conference on Signal Image Technology & Internet Based Systems, pp. 553–560, Dijon, France, 18-22/10/2022
DOI: 10.1109/sitis57111.2022.00089
Metrics:
Ignesti G., Bruno A., Deri C., D'Angelo G., Bastiani L., Pratali L., Memmini S: Cicalini D., Dini A., Galesi G., Pardini F., Tampucci M., Benassi A., Salvetti O., Moroni D., Martinelli M.
The combination of pervasive sensing and multimedia understanding with the advances in communications makes it possible to conceive platforms of services for providing telehealth solutions responding to the current needs of society. The recent outbreak has indeed posed several concerns on the management of patients at home, urging to devise complex pathways to address the Severe Acute Respiratory Syndrome (SARS) in combination with the usual diseases of an increasingly elder population. In this paper, we present TiAssisto, a project aiming to design, develop, and validate an innovative and intelligent platform of services, having as its main objective to assist both Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) multi-pathological patients and healthcare professionals. This is achieved by researching and validating new methods to improve their lives and reduce avoidable hospitalisations. TiAssisto features telehealth and telemedicine solutions to enable high-quality standards treatments based on Information and Communication Technologies (ICT), Artificial Intelligence (AI) and Machine Learning (ML). Three hundred patients are involvedin our study: one half using our telehealth platform, while the other half participate as a control group for a correct validation. The developed AI models and the Decision Support System assist General Practitioners (GPs) and other healthcare professionals in order to help them in their diagnosis, by providing suggestions and pointing out possible presence or absence of signs that can be related to pathologies. Deep learning techniques are also used to detect the absence or presence of specific signs in lung ultrasound images.Source: SITIS 2022 - 16th International Conference on Signal Image Technology & Internet Based Systems, pp. 553–560, Dijon, France, 18-22/10/2022
DOI: 10.1109/sitis57111.2022.00089
Metrics:
See at:
ISTI Repository | ieeexplore.ieee.org | CNR ExploRA
2022
Report
Unknown
Barilla Agrosat+ : aggiornamento 10/22
Martinelli M., Moroni D.
Aggiornamento modelli con nuove immagini - progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2022
Martinelli M., Moroni D.
Aggiornamento modelli con nuove immagini - progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2022
See at: CNR ExploRA
2022
Report
Unknown
Barilla Agrosat+: aggiornamento 11/22
Martinelli M.
Aggiornamento modelli con nuove immagini - progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2022
Martinelli M.
Aggiornamento modelli con nuove immagini - progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2022
See at: CNR ExploRA
2022
Report
Open Access
SI-Lab annual research report 2021
Righi M., Leone G. R., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Berti A., Bruno A., Buongiorno R., Carloni G., Conti F., Germanese D., Ignesti G., Matarese F., Omrani A., Pachetti E., Papini O., Benassi A., Bertini G., Coltelli P., Tarabella L., Straface S., Salvetti O., Moroni D.
The Signal & Images Laboratory is an interdisciplinary research group in computer vision, signal analysis, intelligent vision systems and multimedia data understanding. It is part of the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR). This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2021.Source: ISTI Annual reports, 2022
DOI: 10.32079/isti-ar-2022/003
Metrics:
Righi M., Leone G. R., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Berti A., Bruno A., Buongiorno R., Carloni G., Conti F., Germanese D., Ignesti G., Matarese F., Omrani A., Pachetti E., Papini O., Benassi A., Bertini G., Coltelli P., Tarabella L., Straface S., Salvetti O., Moroni D.
The Signal & Images Laboratory is an interdisciplinary research group in computer vision, signal analysis, intelligent vision systems and multimedia data understanding. It is part of the Institute of Information Science and Technologies (ISTI) of the National Research Council of Italy (CNR). This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2021.Source: ISTI Annual reports, 2022
DOI: 10.32079/isti-ar-2022/003
Metrics:
See at:
ISTI Repository | CNR ExploRA
2022
Report
Unknown
Smart Converting 4.0 - Prototipo del sistema di acquisizione dati mediante sensori acustici e di contesto per l'analisi acustica
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Sulla base delle specifiche individuate nell'Attività Operativa 1.1, in questa attività è stato progettato e sviluppato il sistema di acquisizione dati per l'analisi acustica di cui si descrive brevemente il prototipo.Source: ISTI Project report, Smart Converting 4.0, D1.2.2, 2022
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Sulla base delle specifiche individuate nell'Attività Operativa 1.1, in questa attività è stato progettato e sviluppato il sistema di acquisizione dati per l'analisi acustica di cui si descrive brevemente il prototipo.Source: ISTI Project report, Smart Converting 4.0, D1.2.2, 2022
See at: CNR ExploRA
2022
Report
Unknown
Smart Converting 4.0 - Prototipo di interfacce M2M per lo scambio bidirezionale di informazioni (final release)
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente documento presenta una descrizione delle interfacce realizzate ai fini della registrazione di dataset sincroni con le variabili delle macchine (settate e/o misurate da sensori a bordo) e con i segnali acustici/accelerometrici ottenuti grazie ai sistemi messi a punto nell'Attività Operativa 1.2 del progetto Smart Converting 4.0,Source: ISTI Project report, Smart Converting 4.0, D1.3.2, 2022
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente documento presenta una descrizione delle interfacce realizzate ai fini della registrazione di dataset sincroni con le variabili delle macchine (settate e/o misurate da sensori a bordo) e con i segnali acustici/accelerometrici ottenuti grazie ai sistemi messi a punto nell'Attività Operativa 1.2 del progetto Smart Converting 4.0,Source: ISTI Project report, Smart Converting 4.0, D1.3.2, 2022
See at: CNR ExploRA
2022
Report
Unknown
Smart Converting 4.0 - Prototipo delle interfacce utente e infrastruttura per l'orchestrazione del sistema di Intelligenza Artificiale
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si riferisce alla attività operativa AO1.3 del progetto Smart Converting 4.0, il cui obiettivo è la realizzazione delle interfacce utente del software di gestione per il sistema di analisi acustica e dei workflow di orchestrazione fra sensori, sistemi di controllo di macchina, sistemi di acquisizione dati, sistemi di analisi dati e sistemi di visualizzazione risultati.Source: ISTI Project report, Smart Converting 4.0, D1.3.3, 2022
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si riferisce alla attività operativa AO1.3 del progetto Smart Converting 4.0, il cui obiettivo è la realizzazione delle interfacce utente del software di gestione per il sistema di analisi acustica e dei workflow di orchestrazione fra sensori, sistemi di controllo di macchina, sistemi di acquisizione dati, sistemi di analisi dati e sistemi di visualizzazione risultati.Source: ISTI Project report, Smart Converting 4.0, D1.3.3, 2022
See at: CNR ExploRA
2022
Report
Unknown
Smart Converting 4.0 - Algoritmi di intelligenza artificiale per l'elaborazione di segnali acustici
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si inquadra nella attività operativa 1.4 che mira a realizzare le componenti core dei sistemi intelligenti dell'obiettivo operativo 1.Source: ISTI Project report, Smart Converting 4.0, D1.4.1, 2022
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si inquadra nella attività operativa 1.4 che mira a realizzare le componenti core dei sistemi intelligenti dell'obiettivo operativo 1.Source: ISTI Project report, Smart Converting 4.0, D1.4.1, 2022
See at: CNR ExploRA
2022
Report
Unknown
Smart Converting 4.0 - Logiche di alto livello per il controllo degli impianti e la manutenzione predittiva
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si inquadra nella attività operativa 1.4 che mira a realizzare le componenti core dei sistemi intelligenti dell'obiettivo operativo 1. Si articola in una serie di fasi che hanno condotto dall'acquisizione dei dataset di riferimento sino alla generazione di modelli addestrati per risolvere i problemi di classificazione individuati dai casi d'uso definiti nell'Attività Operativa 1.1. Ha incluso inoltre la produzione di logiche ad alto livello per sfruttare opportunamente l'output dei modelli addestrati ai fini di controllo e manutenzione predittiva, come descritto in questo documento.Source: ISTI Project report, Smart Converting 4.0, D1.4.2, 2022
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si inquadra nella attività operativa 1.4 che mira a realizzare le componenti core dei sistemi intelligenti dell'obiettivo operativo 1. Si articola in una serie di fasi che hanno condotto dall'acquisizione dei dataset di riferimento sino alla generazione di modelli addestrati per risolvere i problemi di classificazione individuati dai casi d'uso definiti nell'Attività Operativa 1.1. Ha incluso inoltre la produzione di logiche ad alto livello per sfruttare opportunamente l'output dei modelli addestrati ai fini di controllo e manutenzione predittiva, come descritto in questo documento.Source: ISTI Project report, Smart Converting 4.0, D1.4.2, 2022
See at: CNR ExploRA
2022
Report
Unknown
Smart Converting 4.0 - Algoritmi di intelligenza artificiale per l'elaborazione di segnali acustici - Prototipo HW/SW
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si inquadra nella attività operativa 1.5 che mira a realizzare le componenti core dei sistemi intelligenti dell'obiettivo operativo 1. Si articola in una serie di fasi che hanno condotto dall'acquisizione dei dataset di riferimento sino alla generazione di modelli addestrati per risolvere i problemi di classificazione individuati dai casi d'uso definiti nell'Attività Operativa 1.1. Il presente deliverable, utilizzando come punto di partenza i singoli prototipi HW e SW realizzati nel corso delle attività operative 1.2, 1.3 e 1.4, mira a descrivere il prototipo hw/sw realizzato, integrato e installato in due scenari: presso Futura Lab, dove è presente una linea di converting di test, e presso uno dei clienti di Futura, per valutare l'installazione in un contesto operativo di funzionamento pressoché ininterrotto. Il sistema integrato presentato sarà oggetto di test e validazione in un deliverable dedicato, ossia in D1.5.2 "Report sui test del prototipo integrato del sistema di intelligenza artificiale acustico e analisi dei risultati finali" a cui si rimanda.Source: ISTI Project report, Smart Converting 4.0, D1.5.1, 2022
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si inquadra nella attività operativa 1.5 che mira a realizzare le componenti core dei sistemi intelligenti dell'obiettivo operativo 1. Si articola in una serie di fasi che hanno condotto dall'acquisizione dei dataset di riferimento sino alla generazione di modelli addestrati per risolvere i problemi di classificazione individuati dai casi d'uso definiti nell'Attività Operativa 1.1. Il presente deliverable, utilizzando come punto di partenza i singoli prototipi HW e SW realizzati nel corso delle attività operative 1.2, 1.3 e 1.4, mira a descrivere il prototipo hw/sw realizzato, integrato e installato in due scenari: presso Futura Lab, dove è presente una linea di converting di test, e presso uno dei clienti di Futura, per valutare l'installazione in un contesto operativo di funzionamento pressoché ininterrotto. Il sistema integrato presentato sarà oggetto di test e validazione in un deliverable dedicato, ossia in D1.5.2 "Report sui test del prototipo integrato del sistema di intelligenza artificiale acustico e analisi dei risultati finali" a cui si rimanda.Source: ISTI Project report, Smart Converting 4.0, D1.5.1, 2022
See at: CNR ExploRA
2022
Report
Unknown
Smart Converting 4.0 - Report sui test del prototipo integrato del sistema di intelligenza artificiale acustico e analisi dei risultati finali
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
In questo documento sono riportarti i risultati dei test eseguiti sul prototipo integrato del sistema di intelligenza artificiale acustico realizzato del corso dell'Obiettivo Operativo 1 del progetto Smart Converting 4.0. In particolare, utilizzando come punto di partenza i singoli prototipi HW e SW realizzati nel corso delle attività operative 1.2, 1.3 e 1.4, si è proceduto a realizzare un sistema integrato per l'intelligenza artificiale acustica e procedere alla sua validazione su una linea reale presente in Futura Lab. Il test ha riguardato tre casi di interesse supportati dal prototipo realizzato, ossia (i) lo studio dello stato dei cuscinetti sullo svolgitore, (ii) la valutazione dello stato di affilatura della lama rotante sulla troncatrice (analizzata mediante i suoni emessi durante la sua affilatura) e (iii) l'analisi dell'interferenza delle lame del perforatore, indagata mediante sensori di vibrazione dopo che la valutazione meramente acustica ha dato risultati poco soddisfacenti. Per quest'ultimo punto, al fine di riprodurre uno scenario più fedele a quello di una linea produttiva e per ovviare ad alcune limitazioni della sola sperimentazione presso la linea pilota in Futura Lab, una ulteriore sessione di acquisizione e test è stata eseguita presso un cliente di Futura. Tutti i test e i risultati ottenuti sono riportati nel seguito.Source: ISTI Project report, Smart Converting 4.0, D1.5.2, 2022
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
In questo documento sono riportarti i risultati dei test eseguiti sul prototipo integrato del sistema di intelligenza artificiale acustico realizzato del corso dell'Obiettivo Operativo 1 del progetto Smart Converting 4.0. In particolare, utilizzando come punto di partenza i singoli prototipi HW e SW realizzati nel corso delle attività operative 1.2, 1.3 e 1.4, si è proceduto a realizzare un sistema integrato per l'intelligenza artificiale acustica e procedere alla sua validazione su una linea reale presente in Futura Lab. Il test ha riguardato tre casi di interesse supportati dal prototipo realizzato, ossia (i) lo studio dello stato dei cuscinetti sullo svolgitore, (ii) la valutazione dello stato di affilatura della lama rotante sulla troncatrice (analizzata mediante i suoni emessi durante la sua affilatura) e (iii) l'analisi dell'interferenza delle lame del perforatore, indagata mediante sensori di vibrazione dopo che la valutazione meramente acustica ha dato risultati poco soddisfacenti. Per quest'ultimo punto, al fine di riprodurre uno scenario più fedele a quello di una linea produttiva e per ovviare ad alcune limitazioni della sola sperimentazione presso la linea pilota in Futura Lab, una ulteriore sessione di acquisizione e test è stata eseguita presso un cliente di Futura. Tutti i test e i risultati ottenuti sono riportati nel seguito.Source: ISTI Project report, Smart Converting 4.0, D1.5.2, 2022
See at: CNR ExploRA
2022
Report
Unknown
D3.2- TiAssisto. Design e sviluppo dei moduli SW della piattaforma
Martinelli M., Cicalini D., Pratali L., Ignesti G., Bruno A., Moroni D.
Il presente documento è il primo deliverable dell'Obiettivo Operativo 3 "Design e sviluppo dei moduli SW della piattaforma" del progetto TiAssisto e si inserisce nell'attività 3.2: Progettazione e sviluppo di interfacce grafiche personalizzate e user-friendly e soluzioni Web/mobile. Progettazione e sviluppo di moduli software basati sul Web per l'interazione dell'utente con i pazienti, servizi TiAssisto per utenti, parenti e medici. Applicazioni Web personalizzate per migliorare la qualità della vita e l'assistenza remota.Source: ISTI Project report, TiAssisto, D3.2, 2022
Martinelli M., Cicalini D., Pratali L., Ignesti G., Bruno A., Moroni D.
Il presente documento è il primo deliverable dell'Obiettivo Operativo 3 "Design e sviluppo dei moduli SW della piattaforma" del progetto TiAssisto e si inserisce nell'attività 3.2: Progettazione e sviluppo di interfacce grafiche personalizzate e user-friendly e soluzioni Web/mobile. Progettazione e sviluppo di moduli software basati sul Web per l'interazione dell'utente con i pazienti, servizi TiAssisto per utenti, parenti e medici. Applicazioni Web personalizzate per migliorare la qualità della vita e l'assistenza remota.Source: ISTI Project report, TiAssisto, D3.2, 2022
See at: CNR ExploRA
2022
Report
Unknown
D6.3- TiAssisto Prototipo piattaforma TiAssisto in era Covid -19 nei diversi setting di pazienti
Ignesti G., Bruno A., Deri C., D'Angelo G., Pratali L., Martinelli M.
Il presente documento è il terzo deliverable dell'Obiettivo Operativo 6 "Sottomissione comitato etico locale, arruolamento, sviluppo, formazione, test e validazione" del progetto TiAssisto e si inserisce nell'attività 6.3.Source: ISTI Project report, TiAssisto, D6.3, 2022
Ignesti G., Bruno A., Deri C., D'Angelo G., Pratali L., Martinelli M.
Il presente documento è il terzo deliverable dell'Obiettivo Operativo 6 "Sottomissione comitato etico locale, arruolamento, sviluppo, formazione, test e validazione" del progetto TiAssisto e si inserisce nell'attività 6.3.Source: ISTI Project report, TiAssisto, D6.3, 2022
See at: CNR ExploRA
2022
Report
Unknown
D2.2- TiAssisto Requisiti tecnico-scientifici, integrazione fra analisi delle immagini e l'uso della telemedicina
Ignesti G., Moroni D., Pratali L., Martinelli M.
Definizione dei requisiti delle basi scientifiche e tecnologiche, analisi delle conoscenze riguardo l'integrazione delle immagini e sull'uso della telemedicina, identificazione degli standards.Source: ISTI Project report, TiAssisto, D2.2, 2022
Ignesti G., Moroni D., Pratali L., Martinelli M.
Definizione dei requisiti delle basi scientifiche e tecnologiche, analisi delle conoscenze riguardo l'integrazione delle immagini e sull'uso della telemedicina, identificazione degli standards.Source: ISTI Project report, TiAssisto, D2.2, 2022
See at: CNR ExploRA
2022
Dataset
Unknown
Medical Waste 4.0 Dataset
Bruno A., Martinelli M., Moroni D.
This dataset was acquired in the framework of the Medical Waste Treating 4.0 funded by the Tuscany Region. The dataset aims to be a valuable resource for devising and testing computer vision methods for the primary sorting of medical waste. Acquisition device: OAK-D camera with tech specs available here https://docs.luxonis.com/projects/hardware/en/latest/pages/BW1098OAK.html. Each sample consists of three images, namely an RGB image and a stereo pair: RGB: 1920 x 1080 Grayscale: 640 x 400 Example: timestamp.jpg = RGB Image timestamp_r.png = Right image in the stereo pair timestamp_l.png = Left image in the stereo pair Categories: - gauze - glove pair latex - glove pair nitrile - glove pair surgery - glove single latex - glove single nitrile - glove single surgery - medical cap - medical glasses - shoe cover pair - shoe cover single - test tube - urine bagDOI: 10.5281/zenodo.7643417
Metrics:
Bruno A., Martinelli M., Moroni D.
This dataset was acquired in the framework of the Medical Waste Treating 4.0 funded by the Tuscany Region. The dataset aims to be a valuable resource for devising and testing computer vision methods for the primary sorting of medical waste. Acquisition device: OAK-D camera with tech specs available here https://docs.luxonis.com/projects/hardware/en/latest/pages/BW1098OAK.html. Each sample consists of three images, namely an RGB image and a stereo pair: RGB: 1920 x 1080 Grayscale: 640 x 400 Example: timestamp.jpg = RGB Image timestamp_r.png = Right image in the stereo pair timestamp_l.png = Left image in the stereo pair Categories: - gauze - glove pair latex - glove pair nitrile - glove pair surgery - glove single latex - glove single nitrile - glove single surgery - medical cap - medical glasses - shoe cover pair - shoe cover single - test tube - urine bagDOI: 10.5281/zenodo.7643417
Metrics:
See at: CNR ExploRA
2022
Report
Unknown
Medical Waste Treating 4.0: App di classificazione dei rifiuti sanitari
Martinelli M., Bruno A., Moroni D.
Descrizione della app di classificazione automatica di rifiuti sanitari e dei risultati del test di valutazione del dataset nell'ambito del progetto Progetto Medical Waste Treating 4.0 finanziato nel quadro del POR CreO FESR Toscana 2014-2020.Source: ISTI Project report, Medical Waste Treating 4.0, D-1, 2022
Martinelli M., Bruno A., Moroni D.
Descrizione della app di classificazione automatica di rifiuti sanitari e dei risultati del test di valutazione del dataset nell'ambito del progetto Progetto Medical Waste Treating 4.0 finanziato nel quadro del POR CreO FESR Toscana 2014-2020.Source: ISTI Project report, Medical Waste Treating 4.0, D-1, 2022
See at: CNR ExploRA
2022
Other
Unknown
An artificial intelligence classifier for the Alchemilla L. of Tuscany
Pierini B., Peruzzi L., Bruno A., Martinelli M.
This document describes the application for the automatic classification of the Alchemilla L. species of Tuscany Region and the results of the training of the Artificial Intelligence model trained on the dataset realized in collaboration with the University of Pisa.
Pierini B., Peruzzi L., Bruno A., Martinelli M.
This document describes the application for the automatic classification of the Alchemilla L. species of Tuscany Region and the results of the training of the Artificial Intelligence model trained on the dataset realized in collaboration with the University of Pisa.
See at: CNR ExploRA
2022
Report
Unknown
D5.2 - TiAssisto integrazione ed interoperabilità dei servizi
Bruno A., Ignesti G., Moroni D., Pratali L., Martinelli M.
Integrazione ed interoperabilità dei Servizi della piattaforma TiAssisto.Source: ISTI Project report, TiAssisto, D5.2, 2022
Bruno A., Ignesti G., Moroni D., Pratali L., Martinelli M.
Integrazione ed interoperabilità dei Servizi della piattaforma TiAssisto.Source: ISTI Project report, TiAssisto, D5.2, 2022
See at: CNR ExploRA
2022
Other
Unknown
Granoscan: una app basata sull'intelligenza artificiale per l'agricoltura sostenibile
Pardini F., Bruno A., Morelli S., Toscano P., Moroni D., Martinelli M.
Poster App Granoscan, presentato alla fiera Agricola di Verona e al Bright 2022 a Pisa.
Pardini F., Bruno A., Morelli S., Toscano P., Moroni D., Martinelli M.
Poster App Granoscan, presentato alla fiera Agricola di Verona e al Bright 2022 a Pisa.
See at: CNR ExploRA | www.bright-night.it
2022
Report
Unknown
D5.1 TiAssisto - Progettazione delle funzionalità di interazione dei servizi per l'utente finale
Ignesti G., Bruno A., Galesi G., Pardini F., Cicalini D., Roth L., Pratali L., Martinelli M.
Il presente documento è il primo deliverable dell'Obiettivo Operativo 5 "Servizi per gli utilizzatori finali".Source: ISTI Project report, TiAssisto, D5.1, 2022
Ignesti G., Bruno A., Galesi G., Pardini F., Cicalini D., Roth L., Pratali L., Martinelli M.
Il presente documento è il primo deliverable dell'Obiettivo Operativo 5 "Servizi per gli utilizzatori finali".Source: ISTI Project report, TiAssisto, D5.1, 2022
See at: CNR ExploRA
2021
Journal article
Open Access
Effects of acute and sub-acute hypobaric hypoxia on oxidative stress: a field study in the Alps
Mrakic-Sposta S., Gussoni M., Dellanoce C., Marzorati M., Montorsi M., Rasica L., Pratali L., D'Angelo G., Martinelli M., Bastiani L., Di Natale L., Vezzoli A.
Purpose High altitude results in lower barometric pressure and hence partial pressure of O2 decrease can lead to several molecular and cellular changes, such as generation of reactive oxygen species (ROS). Electron Paramagnetic Resonance technique was adopted in the field, to evaluate the effects of acute and sub-acute hypobaric hypoxia (HH) on ROS production by micro-invasive method. Biological biomarkers, indicators of oxidative stress, renal function and inflammation were investigated too. Methods Fourteen lowlander subjects (mean age 27.3 ± 5.9 years) were exposed to HH at 3269 m s.l. ROS production, related oxidative damage to cellular components, systemic inflammatory response and renal function were determined through blood and urine profile performed at 1st, 2nd, 4th, 7th, and 14th days during sojourn. Results Kinetics of changes during HH exposition showed out significant (range p < 0.05-0.0001) increases that at max corresponds to 38% for ROS production rate, 140% for protein carbonyl, 44% for lipid peroxidation, 42% for DNA damage, 200% for inflammatory cytokines and modifications in renal function (assessed by neopterin concentration: 48%). Conversely, antioxidant capacity significantly (p < 0.0001) decreased - 17% at max. Conclusion This 14 days in-field study describes changes of oxidative-stress biomarkers during HH exposure in lowlanders. The results show an overproduction of ROS and consequent oxidative damage to protein, lipids and DNA with a decrease in antioxidant capacity and the involvement of inflammatory status and a transient renal dysfunction. Exposure at high altitude induces a hypoxic condition during acute and sub-acute phases accompanied by molecular adaptation mechanism indicating acclimatization.Source: European journal of applied physiology (Print) 121 (2021): 297–306. doi:10.1007/s00421-020-04527-x
DOI: 10.1007/s00421-020-04527-x
Metrics:
Mrakic-Sposta S., Gussoni M., Dellanoce C., Marzorati M., Montorsi M., Rasica L., Pratali L., D'Angelo G., Martinelli M., Bastiani L., Di Natale L., Vezzoli A.
Purpose High altitude results in lower barometric pressure and hence partial pressure of O2 decrease can lead to several molecular and cellular changes, such as generation of reactive oxygen species (ROS). Electron Paramagnetic Resonance technique was adopted in the field, to evaluate the effects of acute and sub-acute hypobaric hypoxia (HH) on ROS production by micro-invasive method. Biological biomarkers, indicators of oxidative stress, renal function and inflammation were investigated too. Methods Fourteen lowlander subjects (mean age 27.3 ± 5.9 years) were exposed to HH at 3269 m s.l. ROS production, related oxidative damage to cellular components, systemic inflammatory response and renal function were determined through blood and urine profile performed at 1st, 2nd, 4th, 7th, and 14th days during sojourn. Results Kinetics of changes during HH exposition showed out significant (range p < 0.05-0.0001) increases that at max corresponds to 38% for ROS production rate, 140% for protein carbonyl, 44% for lipid peroxidation, 42% for DNA damage, 200% for inflammatory cytokines and modifications in renal function (assessed by neopterin concentration: 48%). Conversely, antioxidant capacity significantly (p < 0.0001) decreased - 17% at max. Conclusion This 14 days in-field study describes changes of oxidative-stress biomarkers during HH exposure in lowlanders. The results show an overproduction of ROS and consequent oxidative damage to protein, lipids and DNA with a decrease in antioxidant capacity and the involvement of inflammatory status and a transient renal dysfunction. Exposure at high altitude induces a hypoxic condition during acute and sub-acute phases accompanied by molecular adaptation mechanism indicating acclimatization.Source: European journal of applied physiology (Print) 121 (2021): 297–306. doi:10.1007/s00421-020-04527-x
DOI: 10.1007/s00421-020-04527-x
Metrics:
See at:
ISTI Repository | European Journal of Applied Physiology and Occupational Physiology | link.springer.com | CNR ExploRA
2021
Report
Unknown
Progetto DiOncoGen CloudPathology - Secondo test di valutazione delle informazioni sul secondo dataset
Martinelli M., Bruno A., Moroni D.
Il presente documento fornisce i risultati del secondo test di valutazione del secondo dataset ricevuto nell'ambito del progetto DiOncoGen-CloudPathology.Source: Project report, DiOncoGen CloudPathology, 2021
Martinelli M., Bruno A., Moroni D.
Il presente documento fornisce i risultati del secondo test di valutazione del secondo dataset ricevuto nell'ambito del progetto DiOncoGen-CloudPathology.Source: Project report, DiOncoGen CloudPathology, 2021
See at: CNR ExploRA
2021
Report
Unknown
Barilla AgroSat+ Server, Client e Modelli
Bruno A., Moroni D., Martinelli M.
Server, Client e Modelli del Progetto Barilla AgroSat+Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Server, Client e Modelli del Progetto Barilla AgroSat+Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Report
Unknown
Ti Assisto - Sistema Informativo
Martinelli M., Deluca R., Moroni D.
Il sistema informativo, le piattaforme pregresse, privacy, requisiti
Martinelli M., Deluca R., Moroni D.
Il sistema informativo, le piattaforme pregresse, privacy, requisiti
See at: CNR ExploRA
2021
Report
Unknown
Barilla Agrosat+ Organi, aggiornamenti, confronti
Bruno A., Moroni D., Martinelli M.
Aggiornamenti e confronti. Progetto Barilla Agrosat+Source: ISTI Project report, AgroSat+, 2021
Bruno A., Moroni D., Martinelli M.
Aggiornamenti e confronti. Progetto Barilla Agrosat+Source: ISTI Project report, AgroSat+, 2021
See at: CNR ExploRA
2021
Report
Unknown
Barilla Agrosat+ - Riorganizzazione task e nuovi modelli
Bruno A., Moroni D., Martinelli M.
Riorganizzazione task e nuovi modelli, integrazione app mobile, sito Web, modelli di AI, progetto Barilla Agrosat+ - Presentazione draft articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Riorganizzazione task e nuovi modelli, integrazione app mobile, sito Web, modelli di AI, progetto Barilla Agrosat+ - Presentazione draft articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Report
Unknown
Barilla Agrosat+ - Aggiornamento modelli e Beta release
Bruno A., Moroni D., Martinelli M.
Aggiornamento Modelli di AI, rilascio Beta release, progetto Barilla Agrosat+ - Presentazione nuovo draft articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Aggiornamento Modelli di AI, rilascio Beta release, progetto Barilla Agrosat+ - Presentazione nuovo draft articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Report
Unknown
TiAssisto - Obiettivo Operativo 3
Martinelli M., Galesi G., Tampucci M., Moroni D.
Presentazione Kick-Off Meeting Bando Ricerca COVID-19 Regione Toscana - Progetto TiAssisto Obiettivo Operativo 3.Source: ISTI Project report, TIAssisto, 2021
Martinelli M., Galesi G., Tampucci M., Moroni D.
Presentazione Kick-Off Meeting Bando Ricerca COVID-19 Regione Toscana - Progetto TiAssisto Obiettivo Operativo 3.Source: ISTI Project report, TIAssisto, 2021
See at: CNR ExploRA
2021
Report
Unknown
TiAssisto - Obiettivo Operativo 4
Martinelli M., Bruno A., Moroni D.
Presentazione Kick-Off Meeting Bando Ricerca COVID-19 Regione Toscana Progetto TiAssisto Obiettivo Operativo 4.Source: ISTI Project report, TIAssisto, 2021
Martinelli M., Bruno A., Moroni D.
Presentazione Kick-Off Meeting Bando Ricerca COVID-19 Regione Toscana Progetto TiAssisto Obiettivo Operativo 4.Source: ISTI Project report, TIAssisto, 2021
See at: CNR ExploRA
2021
Report
Unknown
Barilla Agrosat+ - Insetti, aggiornamento modelli, merge, gestore richiesta, et al.
Bruno A., Moroni D., Martinelli M.
Insetti, aggiornamento modelli, merge, gestore richiesta, et al.Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Insetti, aggiornamento modelli, merge, gestore richiesta, et al.Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Contribution to conference
Unknown
Mediterranean diet mitigates acute mountain sickness
Agazzi G. C., Valoti P., Bastiani L., Denoth F., Pratali Ll., D'Angelo G., Carrara B., Parigi G. B., Malanninom., Spinelli A., Calderoli A., Orizio L., Giardini G., Salvetti O., Moroni D., Martinelli M., Mrakic Sposta S.
A pilot study was conducted in the framework of the Save the Mountains initiative, an education and sustainability project, promoted by Italian Alpine Club of Bergamo, Bergamo section of the National Alpine Association, Province of Bergamo, Observatory for the Bergamasque Mountains and Alpine and Speleological Rescue. As a part of this study, an anonymous online questionnaire was designed and prepared, collecting lifestyle information (eating habits, alcohol, tobacco, sleep, exercise) of the mountaineers in order to recommend specific measures useful for staying in mountain areas and for preventing individual risk factors related to lifestyle and Acute Mountain Sickness (AMS): http://altamontagna.isti.cnr.it:8080/Stiledivita/. The study will continue the collection of questionnaire responses until at least the end of Summer 2021; at the time of writing (February 2021), 804 questionnaire responses were already collected and analyzed. The initial sample refers to the people who attended mountain huts in the Orobie Alps; then the online questionnaire form was publicly extended to other regions. About 99% of the interviewed people are Italian; the rest are Swiss, Polish, British and French people. Mean age is 48 years(+/-15), 62% males and 38% females. Only 8.8% of them answered they suffered from altitude sickness, but self-reported Lake Louise Score (LLS) classified the 21.3% of people with Acute Mountain Sickness (AMS), light AMS 15,4% and severe AMS 5,8% (To assess AMS the original LLS questionnaire was used: AMS is classified as severe when a headache is present and the LLS is greater than 5, it is instead light when there is a headache and the LLS is between 3 and 5, else is normal). The Mediterranean Diet's adherence, collected as the frequency of food items consumption, was assessed by the MEDI-LITE score, a validated questionnaire, ranging from 0 to 13. In this sample, a median score of 8 was found, while the 25th percentile corresponds to a score lower than 6 and the 75th percentile to a score greater than 9. The 14% of the sample resulted in being not adherent to the Mediterranean diet, the 51% was in the mean, the 35% was adherent. This study confirms that the predisposing factor most associated with the AMS is "having had the same episode in the past" (OR 2.50, CI 1.88/3.13), having sleep disturbs (OR 1.29, CI 1.03 /1.55), age (OR -0.03, CI -0.35/-0.02). Moreover, it underlines that lifestyle is important with respect to risk to develop the AMS: actually, despite the structural limitations of surveys, this study pointed out that lifestyle contributes to mitigating the risk of developing the AMS (Mediterranean diet score OR - 0.34, CI -0.64 -> - 0.55). Gender, smoke and high physical activity are instead not significant. Future studies should investigate more deeply how lifestyle can change the impact on high altitude diseases.Source: ISMM2021 - Virtual XIII World Congress on mountain medicine, Online Conference, June 14-16, 2021
Agazzi G. C., Valoti P., Bastiani L., Denoth F., Pratali Ll., D'Angelo G., Carrara B., Parigi G. B., Malanninom., Spinelli A., Calderoli A., Orizio L., Giardini G., Salvetti O., Moroni D., Martinelli M., Mrakic Sposta S.
A pilot study was conducted in the framework of the Save the Mountains initiative, an education and sustainability project, promoted by Italian Alpine Club of Bergamo, Bergamo section of the National Alpine Association, Province of Bergamo, Observatory for the Bergamasque Mountains and Alpine and Speleological Rescue. As a part of this study, an anonymous online questionnaire was designed and prepared, collecting lifestyle information (eating habits, alcohol, tobacco, sleep, exercise) of the mountaineers in order to recommend specific measures useful for staying in mountain areas and for preventing individual risk factors related to lifestyle and Acute Mountain Sickness (AMS): http://altamontagna.isti.cnr.it:8080/Stiledivita/. The study will continue the collection of questionnaire responses until at least the end of Summer 2021; at the time of writing (February 2021), 804 questionnaire responses were already collected and analyzed. The initial sample refers to the people who attended mountain huts in the Orobie Alps; then the online questionnaire form was publicly extended to other regions. About 99% of the interviewed people are Italian; the rest are Swiss, Polish, British and French people. Mean age is 48 years(+/-15), 62% males and 38% females. Only 8.8% of them answered they suffered from altitude sickness, but self-reported Lake Louise Score (LLS) classified the 21.3% of people with Acute Mountain Sickness (AMS), light AMS 15,4% and severe AMS 5,8% (To assess AMS the original LLS questionnaire was used: AMS is classified as severe when a headache is present and the LLS is greater than 5, it is instead light when there is a headache and the LLS is between 3 and 5, else is normal). The Mediterranean Diet's adherence, collected as the frequency of food items consumption, was assessed by the MEDI-LITE score, a validated questionnaire, ranging from 0 to 13. In this sample, a median score of 8 was found, while the 25th percentile corresponds to a score lower than 6 and the 75th percentile to a score greater than 9. The 14% of the sample resulted in being not adherent to the Mediterranean diet, the 51% was in the mean, the 35% was adherent. This study confirms that the predisposing factor most associated with the AMS is "having had the same episode in the past" (OR 2.50, CI 1.88/3.13), having sleep disturbs (OR 1.29, CI 1.03 /1.55), age (OR -0.03, CI -0.35/-0.02). Moreover, it underlines that lifestyle is important with respect to risk to develop the AMS: actually, despite the structural limitations of surveys, this study pointed out that lifestyle contributes to mitigating the risk of developing the AMS (Mediterranean diet score OR - 0.34, CI -0.64 -> - 0.55). Gender, smoke and high physical activity are instead not significant. Future studies should investigate more deeply how lifestyle can change the impact on high altitude diseases.Source: ISMM2021 - Virtual XIII World Congress on mountain medicine, Online Conference, June 14-16, 2021
See at: CNR ExploRA
2021
Report
Unknown
TiAssisto - Analisi del flusso di funzionamento della piattaforma di telemedicina
Cicalini D., Martinelli M.
Lo scopo di questo rapporto è quello di iniziare a descrivere il flusso di funzionamento della piattaforma di telemedicina TiAssisto e di porre l'attenzione sui punti ancora da definire.Source: ISTI Project report, TIAssisto O.O.3, 2021
Cicalini D., Martinelli M.
Lo scopo di questo rapporto è quello di iniziare a descrivere il flusso di funzionamento della piattaforma di telemedicina TiAssisto e di porre l'attenzione sui punti ancora da definire.Source: ISTI Project report, TIAssisto O.O.3, 2021
See at: CNR ExploRA
2021
Report
Unknown
Barilla AgroSat+ - Preparazione al "Test Day"
Bruno A., Moroni D., Martinelli M.
Nuovi modelli di AI, progetto Barilla Agrosat+ - Conclusione articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Nuovi modelli di AI, progetto Barilla Agrosat+ - Conclusione articolo.Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Report
Unknown
TiAssisto - Analisi del flusso di funzionamento della piattaforma di telemedicina - Aggiornamento
Martinelli M., Bastiani L., Pratali L., Memmini S., Tomei A.
Lo scopo di questo rapporto è quello di estendere le precedenti descrizioni del flusso di funzionamento della piattaforma di telemedicina TiAssisto e di porre l'attenzione sui punti rimasti da definire.Source: ISTI Project report, TIAssisto O.O.3, 2021
Martinelli M., Bastiani L., Pratali L., Memmini S., Tomei A.
Lo scopo di questo rapporto è quello di estendere le precedenti descrizioni del flusso di funzionamento della piattaforma di telemedicina TiAssisto e di porre l'attenzione sui punti rimasti da definire.Source: ISTI Project report, TIAssisto O.O.3, 2021
See at: CNR ExploRA
2021
Journal article
Open Access
Acupuncture effects on cerebral blood flow during normoxia and normobaric hypoxia: results from a prospective crossover pilot study
Pecchio O., Martinelli M., Lupi G., Giardini G., Caligiana L., Bonin S., Scalese M., Salvetti O., Moroni D., Bastiani L.
Cerebral blood flow (CBF) is significantly influenced by exposure to hypoxia, both hypobaric and normobaric. Alterations in cerebral blood flow can play a crucial role in the pathogenesis of acute mountain sickness (AMS) and its symptoms, especially headache, dizziness and nausea. Acupuncture has been proven to be effective in treating some cerebrovascular disorders and PC6 Nei Guan stimulation seems to enhance cerebral blood flow. Therefore we have hypothesized that PC6 Nei Guan stimulation could affect CBF in acute hypoxia and it could be used to contrast AMS symptoms. We evaluated blood flow in middle cerebral artery (MCA) in normoxia and after 15 minutes in normobaric hypoxia Fraction of Inspired Oxygen (FIO2) 14% corresponding to 3,600 m.a.s.l.) in basal conditions and after PC6 Nei Guan stimulation, both by needle and by pressure. No comparisons with other acupuncture points and sham acupuncture were done. PC6 stimulation seems to counteract the effect of acute normobaric hypoxia on end-diastolic velocity (EDV) in MCA, especially after acupuncture and reduces significantly systolic and diastolic blood pressure. A re-balance of CBF could control some AMS symptoms, but further studies are necessary.Source: Technologies (Basel) 9 (2021). doi:10.3390/technologies9040102
DOI: 10.3390/technologies9040102
Metrics:
Pecchio O., Martinelli M., Lupi G., Giardini G., Caligiana L., Bonin S., Scalese M., Salvetti O., Moroni D., Bastiani L.
Cerebral blood flow (CBF) is significantly influenced by exposure to hypoxia, both hypobaric and normobaric. Alterations in cerebral blood flow can play a crucial role in the pathogenesis of acute mountain sickness (AMS) and its symptoms, especially headache, dizziness and nausea. Acupuncture has been proven to be effective in treating some cerebrovascular disorders and PC6 Nei Guan stimulation seems to enhance cerebral blood flow. Therefore we have hypothesized that PC6 Nei Guan stimulation could affect CBF in acute hypoxia and it could be used to contrast AMS symptoms. We evaluated blood flow in middle cerebral artery (MCA) in normoxia and after 15 minutes in normobaric hypoxia Fraction of Inspired Oxygen (FIO2) 14% corresponding to 3,600 m.a.s.l.) in basal conditions and after PC6 Nei Guan stimulation, both by needle and by pressure. No comparisons with other acupuncture points and sham acupuncture were done. PC6 stimulation seems to counteract the effect of acute normobaric hypoxia on end-diastolic velocity (EDV) in MCA, especially after acupuncture and reduces significantly systolic and diastolic blood pressure. A re-balance of CBF could control some AMS symptoms, but further studies are necessary.Source: Technologies (Basel) 9 (2021). doi:10.3390/technologies9040102
DOI: 10.3390/technologies9040102
Metrics:
See at:
ISTI Repository | www.mdpi.com | CNR ExploRA
2021
Report
Unknown
TiAssisto 0.0.3 - Analisi del flusso di funzionamento della piattaforma di telemedicina - Aggiornamento 26/7/2021
Bruno A., Martinelli M., Moroni D., Bastiani L., Pratali L., Cicalini D., Memmini S., Tomei A.
Descrizione del flusso di funzionamento della piattaforma di telemedicina TiAssisto: aggiornamenti ed estensioni.Source: ISTI Project report, TIAssisto O.O.3, 2021
Bruno A., Martinelli M., Moroni D., Bastiani L., Pratali L., Cicalini D., Memmini S., Tomei A.
Descrizione del flusso di funzionamento della piattaforma di telemedicina TiAssisto: aggiornamenti ed estensioni.Source: ISTI Project report, TIAssisto O.O.3, 2021
See at: CNR ExploRA
2021
Report
Unknown
Progetto DIONCOGEN. Rapporto Attività CNR-ISTI
Martinelli M., Benassi A., Bruno A., Moroni D.
Progetto DIONCOGEN. Rapporto Attività CNR-ISTISource: ISTI Project report, DiOncoGen CloudPathology, 2021
Martinelli M., Benassi A., Bruno A., Moroni D.
Progetto DIONCOGEN. Rapporto Attività CNR-ISTISource: ISTI Project report, DiOncoGen CloudPathology, 2021
See at: CNR ExploRA
2021
Report
Open Access
SI-Lab Annual Research Report 2020
Leone G. R., Righi M., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Buongiorno R., Bruno A., Germanese D., Matarese F., Coscetti S., Coltelli P., Jalil B., Benassi A., Bertini G., Salvetti O., Moroni D.
The Signal & Images Laboratory (http://si.isti.cnr.it/) is an interdisciplinary research group in computer vision, signal analysis, smart vision systems and multimedia data understanding. It is part of the Institute for Information Science and Technologies of the National Research Council of Italy. This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2020.Source: ISTI Annual Report, ISTI-2021-AR/001, pp.1–38, 2021
DOI: 10.32079/isti-ar-2021/001
Metrics:
Leone G. R., Righi M., Carboni A., Caudai C., Colantonio S., Kuruoglu E. E., Leporini B., Magrini M., Paradisi P., Pascali M. A., Pieri G., Reggiannini M., Salerno E., Scozzari A., Tonazzini A., Fusco G., Galesi G., Martinelli M., Pardini F., Tampucci M., Buongiorno R., Bruno A., Germanese D., Matarese F., Coscetti S., Coltelli P., Jalil B., Benassi A., Bertini G., Salvetti O., Moroni D.
The Signal & Images Laboratory (http://si.isti.cnr.it/) is an interdisciplinary research group in computer vision, signal analysis, smart vision systems and multimedia data understanding. It is part of the Institute for Information Science and Technologies of the National Research Council of Italy. This report accounts for the research activities of the Signal and Images Laboratory of the Institute of Information Science and Technologies during the year 2020.Source: ISTI Annual Report, ISTI-2021-AR/001, pp.1–38, 2021
DOI: 10.32079/isti-ar-2021/001
Metrics:
See at:
ISTI Repository | CNR ExploRA
2021
Report
Unknown
Barilla Agrosat+ - Aggiornamento 09/21
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramento, to-do list, situazione articolo, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramento, to-do list, situazione articolo, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Report
Unknown
OSIRIS-FO - OSIRIS PDR Meeting - CNR-ISTI current status
Salerno E., Martinelli M., Reggiannini M., Righi M., Tampucci M.
ESA OSIRIS 2 Project - Current status of CNR-ISTISource: ISTI Project report, OSIRIS-FO, 2021
Salerno E., Martinelli M., Reggiannini M., Righi M., Tampucci M.
ESA OSIRIS 2 Project - Current status of CNR-ISTISource: ISTI Project report, OSIRIS-FO, 2021
See at: CNR ExploRA
2021
Contribution to conference
Unknown
Il mondo delle App e la montagna
Martinelli M.
Le App e la montagna, buone prassi, presentazione App SIMeM.Source: SIMeM 2021 - Il Cambiamento Climatico e la Frequentazione della Montagna nell'era post Covid-19, Online e in presenza a Torino, 25/09/2021
Martinelli M.
Le App e la montagna, buone prassi, presentazione App SIMeM.Source: SIMeM 2021 - Il Cambiamento Climatico e la Frequentazione della Montagna nell'era post Covid-19, Online e in presenza a Torino, 25/09/2021
See at: CNR ExploRA
2021
Report
Unknown
Barilla Agrosat+ Aggiornamento 10/21
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, to-do list, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, to-do list, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Journal article
Open Access
Patient perceptions and knowledge of ionizing radiation from medical imaging
Bastiani L., Paolicchi F. : Faggioni L., Martinelli M., Gerasia R., Martini C., Cornacchione P., Ceccarelli M., Chiappino D., Della Latta D., Negri K., Pertoldi D., Negro D., Nuzzi G., Rizzo V., Tamburrino P., Pozzessere C., Aringhieri G., Caramella D.
Importance Although imaging has become a standard tool of modern medicine, its widespread use has been paralleled by an increasing cumulative radiation dose to patients despite technological advancements and campaigns calling for better awareness and minimization of unnecessary exposures. Objective To assess patients' knowledge about medical radiation and related risks. Design, Setting, and Participants A survey study of hospitals in Italy was conducted; all patients in waiting rooms for medical imaging procedures before undergoing imaging examinations at 16 teaching and nonteaching hospitals were approached to take the survey. The survey was performed from June 1, 2019, to May 31, 2020. Main Outcomes and Measures Survey respondents' basic knowledge of ionizing radiation levels and health risks, earlier imaging tests performed, and information and communication about radiation protection issues. Results Among 3039 patients invited to participate, the response rate was 94.3% (n = 2866). Participants included 1531 women (53.4%); mean (SD) age was 44.9 (17.3) years. Of the 2866 participants, 1529 (53.3%) were aware of the existence of natural sources of ionizing radiation. Mammography (1101 [38.4%]) and magnetic resonance imaging (1231 [43.0%]) were categorized as radiation-based imaging modalities. More than half of the 2866 patients (1579 [55.1%]; P = .03) did not know that chest computed tomography delivers a larger dose of radiation than chest radiography, and only 1499 (52.3%) knew that radiation can be emitted after nuclear medicine examinations (P = .004). A total of 667 patients (23.3%) believed that radiation risks were unrelated to age, 1273 (44.4%) deemed their knowledge about radiation risks inadequate, and 2305 (80.4%) preferred to be informed about radiation risks by medical staff. A better knowledge of radiation issues was associated with receiving information from health care professionals (odds ratio [OR], 1.71; 95% CI, 1.43-2.03; P < .001) and having a higher educational level (intermediate vs low: OR, 1.48; 95% CI, 1.17-1.88; P < .001; high vs low: OR, 2.68; 95% CI, 2.09-3.43; P < .001). Conclusions and Relevance The results of this survey suggest that patients undergoing medical imaging procedures have overall limited knowledge about medical radiation. Intervention to achieve better patient awareness of radiation risks related to medical exposures may be beneficial.Source: JAMA network open 4 (2021). doi:10.1001/jamanetworkopen.2021.28561
DOI: 10.1001/jamanetworkopen.2021.28561
Metrics:
Bastiani L., Paolicchi F. : Faggioni L., Martinelli M., Gerasia R., Martini C., Cornacchione P., Ceccarelli M., Chiappino D., Della Latta D., Negri K., Pertoldi D., Negro D., Nuzzi G., Rizzo V., Tamburrino P., Pozzessere C., Aringhieri G., Caramella D.
Importance Although imaging has become a standard tool of modern medicine, its widespread use has been paralleled by an increasing cumulative radiation dose to patients despite technological advancements and campaigns calling for better awareness and minimization of unnecessary exposures. Objective To assess patients' knowledge about medical radiation and related risks. Design, Setting, and Participants A survey study of hospitals in Italy was conducted; all patients in waiting rooms for medical imaging procedures before undergoing imaging examinations at 16 teaching and nonteaching hospitals were approached to take the survey. The survey was performed from June 1, 2019, to May 31, 2020. Main Outcomes and Measures Survey respondents' basic knowledge of ionizing radiation levels and health risks, earlier imaging tests performed, and information and communication about radiation protection issues. Results Among 3039 patients invited to participate, the response rate was 94.3% (n = 2866). Participants included 1531 women (53.4%); mean (SD) age was 44.9 (17.3) years. Of the 2866 participants, 1529 (53.3%) were aware of the existence of natural sources of ionizing radiation. Mammography (1101 [38.4%]) and magnetic resonance imaging (1231 [43.0%]) were categorized as radiation-based imaging modalities. More than half of the 2866 patients (1579 [55.1%]; P = .03) did not know that chest computed tomography delivers a larger dose of radiation than chest radiography, and only 1499 (52.3%) knew that radiation can be emitted after nuclear medicine examinations (P = .004). A total of 667 patients (23.3%) believed that radiation risks were unrelated to age, 1273 (44.4%) deemed their knowledge about radiation risks inadequate, and 2305 (80.4%) preferred to be informed about radiation risks by medical staff. A better knowledge of radiation issues was associated with receiving information from health care professionals (odds ratio [OR], 1.71; 95% CI, 1.43-2.03; P < .001) and having a higher educational level (intermediate vs low: OR, 1.48; 95% CI, 1.17-1.88; P < .001; high vs low: OR, 2.68; 95% CI, 2.09-3.43; P < .001). Conclusions and Relevance The results of this survey suggest that patients undergoing medical imaging procedures have overall limited knowledge about medical radiation. Intervention to achieve better patient awareness of radiation risks related to medical exposures may be beneficial.Source: JAMA network open 4 (2021). doi:10.1001/jamanetworkopen.2021.28561
DOI: 10.1001/jamanetworkopen.2021.28561
Metrics:
See at:
jamanetwork.com | ISTI Repository | CNR ExploRA
2021
Other
Unknown
TiAssisto - Una piattaforma di tele-assistenza e tele-monitoraggio di pazienti affetti da Covid-19 - Incontro con i Medici di Medicina Generale coinvolti nel progetto
Martinelli M.
Incontro con i Medici di Medicina Generale coinvolti nel progetto TiAssisto: descrizione della piattaforma di telemedicina di tele-assistenza e tele-monitoraggio di pazienti affetti da Covid-19.
Martinelli M.
Incontro con i Medici di Medicina Generale coinvolti nel progetto TiAssisto: descrizione della piattaforma di telemedicina di tele-assistenza e tele-monitoraggio di pazienti affetti da Covid-19.
See at: CNR ExploRA
2021
Report
Unknown
Barilla Agrosat+ Aggiornamento 11/21
Bruno A., Moroni D., Martinelli M.
Nuovi modelli object detection e classification, to-do list, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Nuovi modelli object detection e classification, to-do list, progetto Barilla Agrosat+Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Report
Unknown
Efficient Improvements in Artificial Intelligence
Bruno A., Moroni D., Martinelli M.
Efficient Improvements in Artificial Intelligence.Source: ISTI Working papers, 2021
Bruno A., Moroni D., Martinelli M.
Efficient Improvements in Artificial Intelligence.Source: ISTI Working papers, 2021
See at: CNR ExploRA
2021
Unknown
Machine learning models and techniques applied to CTGAN-generated data
Moreign V., Moreign Z., Martinelli M.
This work describes investigations and results obtained using different gradient boosting algorithms, feature engineering techniques, and other machine learning techniques applied to a collection of Deep Learning based Synthetic Data Generators for single table data. Specifically, experiments shown were performed on tabular data provided by the Kaggle's 30 Days of ML Competition. Our method of Ordinal Encoding, boosting, hyperparameter optimization, ensembling, and stacking led us to reach 6th place in the competition out of 7573 teams worldwide among about 113,500 initial participants attending the connected course of Machine Learning.
Moreign V., Moreign Z., Martinelli M.
This work describes investigations and results obtained using different gradient boosting algorithms, feature engineering techniques, and other machine learning techniques applied to a collection of Deep Learning based Synthetic Data Generators for single table data. Specifically, experiments shown were performed on tabular data provided by the Kaggle's 30 Days of ML Competition. Our method of Ordinal Encoding, boosting, hyperparameter optimization, ensembling, and stacking led us to reach 6th place in the competition out of 7573 teams worldwide among about 113,500 initial participants attending the connected course of Machine Learning.
See at: CNR ExploRA
2021
Report
Unknown
Barilla Agrosat+ - Aggiornamento 12/21
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, to-do list, progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2021
Bruno A., Moroni D., Martinelli M.
Nuovi modelli, miglioramenti, to-do list, progetto Barilla Agrosat+.Source: ISTI Project report, Barilla Agrosat+, 2021
See at: CNR ExploRA
2021
Report
Unknown
Smart Converting 4.0 - Requisiti e specifiche funzionali del sistema di intelligenza artificiale acustica e relativa architettura cloud ibrida
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente documento è il primo deliverable dell'obiettivo operativo 1 del progetto Smart Converting 4.0. Si richiama che l'obiettivo operativo si prefigge di sviluppare sistemi di intelligenza artificiale, principalmente per l'elaborazione di segnali acustici, facendo perno su tecnologie cloud ibride e edge computing. In particolare, l'Edge Computing è un paradigma di calcolo che si basa su un'ampia varietà di dispositivi. Le piattaforme edge possono infatti essere composte sia da dispositivi caratterizzati da potenza energetica limitata e/o con capacità di elaborazione ridotta (il c.d. "far edge"), sia da data center distribuiti (il c.d. "near edge", spesso equipaggiati con risorse hardware dedicate). I sistemi Edge (far e near) possono inoltre lavorare sinergicamente con risorse di cloud computing più tradizionali, in base alle necessità (ad esempio, tramite l'off-loading di carico computazionale), andando a realizzare un vero e proprio continuum computazionale che parte dalla Cloud e raggiunge i dispostivi fisici nell'ambiente fabbrica. Nel caso del converting, le linee attuali sono impianti complessi in cui il velo, carta tissue oppure nonwoven ("tessuto-non-tessuto"), inizialmente svolto da una bobina madre, viene trasformato da materia prima a prodotto finito passando attraverso una successione di macchine sino a quando esso viene riavvolto su dei rotoli di diametro inferiore, che vengono poi tagliati nella lunghezza desiderata per dar luogo al prodotto finito. Il processo, per essere cost-effective e generare valore per il cliente deve essere caratterizzato allo stesso tempo da un elevato grado di produttività e da un elevato livello di affidabilità in modo da poter garantire tempi certi di consegna delle commesse ricevute dai clienti. Per questo motivo, Futura negli anni ha mirato a costruire linee costituite da di caratterizzate da elevata automazione, in grado di soddisfare i segmenti del mercato del converting "più esigenti", caratterizzati da elevato valore aggiunto e da un elevato grado di redditività. Ancora oggi tuttavia, lo stato dell'arte del settore della produzione delle linee di converting evidenzia che il grande potenziale di efficientamento legato agli sviluppi ottenuti nel campo dell'intelligenza artificiale non risulta ancora pienamente utilizzato. Infatti sebbene sulle linee siano presenti sensori per il controllo del processo, spesso in tempo reale, la caratterizzazione dello stato del sistema e delle sue componenti non è sempre capillare. Alcune fasi del processo avvengono a velocità sostenute e non sono facilmente osservabili ad esempio con telecamere o con altra sensoristica; per altre fasi, data la presenza di un numero elevato di variabili configurabili non è facile adattare proattivamente la configurazione ottimale dei parametri in modo da ottimizzare allo stesso tempo il grado velocità ed il livello di affidabilità del processo. Esiste infatti un trade-off tra la velocità di elaborazione, in genere espressa in termini di velocità di trascinamento del velo all'interno della macchina (metri/minuto) e l'affidabilità del processo: all'aumentare della velocità cresce la complessità nell'individuare e adattare proattivamente la configurazione dei parametri di funzionamento in modo da evitare il verificarsi di inceppamenti o rotture del velo all'interno della linea. In definitiva, sebbene le linee siano munite di diversi strumenti e sensori per misurare e controllare il processo, le impostazioni di funzionamento sono ancora oggi spesso configurate manualmente dagli addetti sulla base dei dati misurati dai sensori e sulla base della propria personale esperienza. Ne deriva che l'efficienza delle linee oltre a non essere ottimizzata è altresì variabile in funzione dell'esperienza degli operatori e questo aspetto assume particolare criticità considerando che per la grande maggioranza dei clienti di Futura (specie per quelli collocati nel Nord America) è spesso molto difficile poter reperire personale sufficientemente specializzato. Numerose interviste svolte da Futura al personale più esperto addetto al funzionamento delle linee di converting hanno consentito di rilevare che abbastanza di frequente il processo di configurazione dei parametri di funzionamento avviene "ad orecchio", ossia ascoltando ed interpretando sulla base dell'esperienza il rumore prodotto dalla macchina al fine di individuare quali variazioni ai parametri di configurazione introdurre per far "suonare meglio la macchina". In altre parole tali evidenze hanno consentito di rilevare che: a)I segnali acustici (siano essi sonici, infrasonici o ultrasonici) emessi da un componente, da un macchinario o dall'interferenza fra più organi contengono informazioni sulle condizioni in cui il processo di converting sta avvenendo; b)Il problema dell'ottimizzazione dei parametri di funzionamento di macchine complesse con parametri multipli si basa ancora oggi spesso su interventi basati sull'esperienza soggettiva e sull'intuito personale dell'operatore. La prima considerazione suggerisce di aprire la strada, molto innovativa, ma allo stesso tempo molto promettente, dell'utilizzo di sensori acustici per osservare e analizzare lo stato delle linee, con lo scopo di ottimizzare i parametri di processo e di analizzare lo stato del sistema a fini di diagnostica predittiva. I segnali di tipo acustico esibiscono inoltre buone caratteristiche per misure contact-less anche di componenti difficilmente osservabili in maniera alternativa. La seconda considerazione suggerisce la necessità che l'analisi dei segnali registrati su una macchina, siano essi di tipo acustico o di altra natura, debba basarsi su un'analisi sistematica e globale dei dati prodotti (data-driven) che potrebbe trarre grande beneficio dall'impiego dei metodi emergenti nel campo dell'intelligenza artificiale e del deep learning. Generalmente i sistemi di intelligenza artificiale vengono dapprima addestrati off-line e off-premise, eventualmente su sistemi cloud, per poi essere utilizzati operativamente in fase di inferenza su server locali o in cloud. Nel progetto Smart Converting 4.0 si intende invece esplorare l'utilizzo di cloud ibride operanti a più livelli per garantire una maggiore flessibilità degli algoritmi di intelligenza artificiale, portandoli, soprattutto nel caso sia necessario un controllo di tipo real-time, il più vicino possibile all'edge della rete. Ciò comporterà un insieme di vantaggi i termini di configurabilità e adattabilità del Quality of Service (QoS), andando anche a migliorare il rispetto dei vincoli di riservatezza del cliente di Futura che non vuole fare ricorso a cloud pubblici. Lo scopo di questo deliverable è di andare ad indentificare i requisiti di un sistema di elaborazione dei segnali acustici mediante paradigmi di intelligenza artificiale, delineandole completamente gli aspetti in ottica Industrial IoT. In particolare nella sezione 2 vengono descritte le relazioni tra IoT, l'industria e la possibilità di integrare sistemi intelligenti basati sull'elaborazione dei dati acustici e di contesto. Nella sezione 3 di indicano i requisiti fondamentali del sistema, mentre nella sezione 4 si mostra una possibile architettura per il deployment di tali servizi in ambito industriale.Source: ISTI Project report, Smart Converting 4.0, D1.1, 2021
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente documento è il primo deliverable dell'obiettivo operativo 1 del progetto Smart Converting 4.0. Si richiama che l'obiettivo operativo si prefigge di sviluppare sistemi di intelligenza artificiale, principalmente per l'elaborazione di segnali acustici, facendo perno su tecnologie cloud ibride e edge computing. In particolare, l'Edge Computing è un paradigma di calcolo che si basa su un'ampia varietà di dispositivi. Le piattaforme edge possono infatti essere composte sia da dispositivi caratterizzati da potenza energetica limitata e/o con capacità di elaborazione ridotta (il c.d. "far edge"), sia da data center distribuiti (il c.d. "near edge", spesso equipaggiati con risorse hardware dedicate). I sistemi Edge (far e near) possono inoltre lavorare sinergicamente con risorse di cloud computing più tradizionali, in base alle necessità (ad esempio, tramite l'off-loading di carico computazionale), andando a realizzare un vero e proprio continuum computazionale che parte dalla Cloud e raggiunge i dispostivi fisici nell'ambiente fabbrica. Nel caso del converting, le linee attuali sono impianti complessi in cui il velo, carta tissue oppure nonwoven ("tessuto-non-tessuto"), inizialmente svolto da una bobina madre, viene trasformato da materia prima a prodotto finito passando attraverso una successione di macchine sino a quando esso viene riavvolto su dei rotoli di diametro inferiore, che vengono poi tagliati nella lunghezza desiderata per dar luogo al prodotto finito. Il processo, per essere cost-effective e generare valore per il cliente deve essere caratterizzato allo stesso tempo da un elevato grado di produttività e da un elevato livello di affidabilità in modo da poter garantire tempi certi di consegna delle commesse ricevute dai clienti. Per questo motivo, Futura negli anni ha mirato a costruire linee costituite da di caratterizzate da elevata automazione, in grado di soddisfare i segmenti del mercato del converting "più esigenti", caratterizzati da elevato valore aggiunto e da un elevato grado di redditività. Ancora oggi tuttavia, lo stato dell'arte del settore della produzione delle linee di converting evidenzia che il grande potenziale di efficientamento legato agli sviluppi ottenuti nel campo dell'intelligenza artificiale non risulta ancora pienamente utilizzato. Infatti sebbene sulle linee siano presenti sensori per il controllo del processo, spesso in tempo reale, la caratterizzazione dello stato del sistema e delle sue componenti non è sempre capillare. Alcune fasi del processo avvengono a velocità sostenute e non sono facilmente osservabili ad esempio con telecamere o con altra sensoristica; per altre fasi, data la presenza di un numero elevato di variabili configurabili non è facile adattare proattivamente la configurazione ottimale dei parametri in modo da ottimizzare allo stesso tempo il grado velocità ed il livello di affidabilità del processo. Esiste infatti un trade-off tra la velocità di elaborazione, in genere espressa in termini di velocità di trascinamento del velo all'interno della macchina (metri/minuto) e l'affidabilità del processo: all'aumentare della velocità cresce la complessità nell'individuare e adattare proattivamente la configurazione dei parametri di funzionamento in modo da evitare il verificarsi di inceppamenti o rotture del velo all'interno della linea. In definitiva, sebbene le linee siano munite di diversi strumenti e sensori per misurare e controllare il processo, le impostazioni di funzionamento sono ancora oggi spesso configurate manualmente dagli addetti sulla base dei dati misurati dai sensori e sulla base della propria personale esperienza. Ne deriva che l'efficienza delle linee oltre a non essere ottimizzata è altresì variabile in funzione dell'esperienza degli operatori e questo aspetto assume particolare criticità considerando che per la grande maggioranza dei clienti di Futura (specie per quelli collocati nel Nord America) è spesso molto difficile poter reperire personale sufficientemente specializzato. Numerose interviste svolte da Futura al personale più esperto addetto al funzionamento delle linee di converting hanno consentito di rilevare che abbastanza di frequente il processo di configurazione dei parametri di funzionamento avviene "ad orecchio", ossia ascoltando ed interpretando sulla base dell'esperienza il rumore prodotto dalla macchina al fine di individuare quali variazioni ai parametri di configurazione introdurre per far "suonare meglio la macchina". In altre parole tali evidenze hanno consentito di rilevare che: a)I segnali acustici (siano essi sonici, infrasonici o ultrasonici) emessi da un componente, da un macchinario o dall'interferenza fra più organi contengono informazioni sulle condizioni in cui il processo di converting sta avvenendo; b)Il problema dell'ottimizzazione dei parametri di funzionamento di macchine complesse con parametri multipli si basa ancora oggi spesso su interventi basati sull'esperienza soggettiva e sull'intuito personale dell'operatore. La prima considerazione suggerisce di aprire la strada, molto innovativa, ma allo stesso tempo molto promettente, dell'utilizzo di sensori acustici per osservare e analizzare lo stato delle linee, con lo scopo di ottimizzare i parametri di processo e di analizzare lo stato del sistema a fini di diagnostica predittiva. I segnali di tipo acustico esibiscono inoltre buone caratteristiche per misure contact-less anche di componenti difficilmente osservabili in maniera alternativa. La seconda considerazione suggerisce la necessità che l'analisi dei segnali registrati su una macchina, siano essi di tipo acustico o di altra natura, debba basarsi su un'analisi sistematica e globale dei dati prodotti (data-driven) che potrebbe trarre grande beneficio dall'impiego dei metodi emergenti nel campo dell'intelligenza artificiale e del deep learning. Generalmente i sistemi di intelligenza artificiale vengono dapprima addestrati off-line e off-premise, eventualmente su sistemi cloud, per poi essere utilizzati operativamente in fase di inferenza su server locali o in cloud. Nel progetto Smart Converting 4.0 si intende invece esplorare l'utilizzo di cloud ibride operanti a più livelli per garantire una maggiore flessibilità degli algoritmi di intelligenza artificiale, portandoli, soprattutto nel caso sia necessario un controllo di tipo real-time, il più vicino possibile all'edge della rete. Ciò comporterà un insieme di vantaggi i termini di configurabilità e adattabilità del Quality of Service (QoS), andando anche a migliorare il rispetto dei vincoli di riservatezza del cliente di Futura che non vuole fare ricorso a cloud pubblici. Lo scopo di questo deliverable è di andare ad indentificare i requisiti di un sistema di elaborazione dei segnali acustici mediante paradigmi di intelligenza artificiale, delineandole completamente gli aspetti in ottica Industrial IoT. In particolare nella sezione 2 vengono descritte le relazioni tra IoT, l'industria e la possibilità di integrare sistemi intelligenti basati sull'elaborazione dei dati acustici e di contesto. Nella sezione 3 di indicano i requisiti fondamentali del sistema, mentre nella sezione 4 si mostra una possibile architettura per il deployment di tali servizi in ambito industriale.Source: ISTI Project report, Smart Converting 4.0, D1.1, 2021
See at: CNR ExploRA
2021
Report
Unknown
Smart Convert 4.0 -Report sulla campagna di acquisizione preliminare
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Sulla base delle specifiche individuate nell'Attività Operativa 1.1, in questa attività è stato progettato e sviluppato il sistema di acquisizione dati per l'analisi acustica. In primo luogo, sono state effettuate campagne di acquisizione di vari samples per i vari casi d'uso identificati. Sperimentalmente, si sono utilizzate configurazioni di sensori mobili che si adattano ai vari settori della macchina. Si è provveduto a registrare segnali in condizioni variegate in modo da avere rappresentate tutte la classi che si intendono individuare. Questi primi dataset raccolti verranno quindi analizzati con vari strumenti per comprendere le caratteristiche del segnale (signal processing) e valutare la presenza di artefatti da mitigare o l'insorgenza di battimenti. Le analisi saranno eseguite su varie bande e con diverse acquisizioni a campionamento variabile.Source: ISTI Project report, Smart Converting 4.0, D1.2.1, 2021
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Sulla base delle specifiche individuate nell'Attività Operativa 1.1, in questa attività è stato progettato e sviluppato il sistema di acquisizione dati per l'analisi acustica. In primo luogo, sono state effettuate campagne di acquisizione di vari samples per i vari casi d'uso identificati. Sperimentalmente, si sono utilizzate configurazioni di sensori mobili che si adattano ai vari settori della macchina. Si è provveduto a registrare segnali in condizioni variegate in modo da avere rappresentate tutte la classi che si intendono individuare. Questi primi dataset raccolti verranno quindi analizzati con vari strumenti per comprendere le caratteristiche del segnale (signal processing) e valutare la presenza di artefatti da mitigare o l'insorgenza di battimenti. Le analisi saranno eseguite su varie bande e con diverse acquisizioni a campionamento variabile.Source: ISTI Project report, Smart Converting 4.0, D1.2.1, 2021
See at: CNR ExploRA
2021
Report
Unknown
Smart Converting 4.0 - Prototipo di interfacce M2M per lo scambio bidirezionale di informazioni (early release)
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si riferisce alla attività operativa AO1.3 del progetto Smart Converting 4.0. L'attività si occupa di progettare e sviluppare un sistema per l'elaborazione dei dati provenienti dal sistema di AI acustica, unitamente agli input forniti dallo SCADA e dai PLC della macchina al fine di mettere in atto delle azioni di autoregolazione dei parametri funzionali della linea in tutti quei casi in cui si rende necessario un intervento. Si farà uso di un gestore per implementare la logica di business per definire il set di regole ed azioni. Più in dettaglio, sarà necessario progettare una algoritmica che gestisca lo scambio di informazioni tra l'interfaccia utente attraverso la logica di presentazione con le elaborazioni intermedie sui dati estratti e con le sorgenti di dati. Tra i possibili strumenti candidati per mirare a tale obiettivo, ci cita ad esempio Drools. Una delle fasi richieste dall'attività operativa in oggetto sarà quella della raccolta delle policies che andranno a regolamentare gli interventi di tuning sui parametri della macchina in relazione a determinati input provenienti dall'AI acustica e ai parametri di funzionamento della macchina stessa prelevati da opportune interfacce SCADA/PLC. Sarà definita la correlazione fra le varie procedure di manutenzione ordinaria del macchinario e l'insorgenza di determinati suoni al fine di suggerire preventivamente all'operatore, sia tramite i pannelli su PLC che eventualmente con notifiche su dispositivi mobili, la necessità di intervenire con pezzi di ricambio o procedure di verifica/pulizia/regolazione manuale. A seconda della tipologia di violazione della policy svilupperemo delle azioni che andranno a limitare o addirittura interrompere le attività del macchinario o porzioni di esso. Parallelamente all'intervento sul macchinario occorrerà implementare un meccanismo di comunicazione standard per l'emissione di un certo tipo di avvisi (sonori, luminosi, notifiche push inviate su dispositivi mobile e wearable). Sottoponendo il sistema da sviluppare al flusso dei dati provenienti dall'AI acustica e a quello proveniente dal sistema di gestione del macchinario saremo in grado di processare tutte le policies introdotte e di intervenire attivamente sul macchinario stesso, limitandone le attività o segnalando situazioni di pericolo mediante opportuni dispositivi. In questo primo deliverable ci si è presi cura di realizzare una early release di interfacce per lo scambio di informazioni con lo SCADA. La presenza di queste interfacce garantisce la possibilità di registrare dataset sincroni con le variabili delle macchine (settate e/o misurate da sensori a bordo) e con i segnali acustici ottenuti grazie ai sistemi messi a punto nell'Attività Operativa 1.2.Source: ISTI Project report, Smart Converting 4.0, D1.3.1, 2021
Betti G., Conati Barbaro A., Masini D., Moroni D., Magrini M., Martinelli M.
Il presente deliverable si riferisce alla attività operativa AO1.3 del progetto Smart Converting 4.0. L'attività si occupa di progettare e sviluppare un sistema per l'elaborazione dei dati provenienti dal sistema di AI acustica, unitamente agli input forniti dallo SCADA e dai PLC della macchina al fine di mettere in atto delle azioni di autoregolazione dei parametri funzionali della linea in tutti quei casi in cui si rende necessario un intervento. Si farà uso di un gestore per implementare la logica di business per definire il set di regole ed azioni. Più in dettaglio, sarà necessario progettare una algoritmica che gestisca lo scambio di informazioni tra l'interfaccia utente attraverso la logica di presentazione con le elaborazioni intermedie sui dati estratti e con le sorgenti di dati. Tra i possibili strumenti candidati per mirare a tale obiettivo, ci cita ad esempio Drools. Una delle fasi richieste dall'attività operativa in oggetto sarà quella della raccolta delle policies che andranno a regolamentare gli interventi di tuning sui parametri della macchina in relazione a determinati input provenienti dall'AI acustica e ai parametri di funzionamento della macchina stessa prelevati da opportune interfacce SCADA/PLC. Sarà definita la correlazione fra le varie procedure di manutenzione ordinaria del macchinario e l'insorgenza di determinati suoni al fine di suggerire preventivamente all'operatore, sia tramite i pannelli su PLC che eventualmente con notifiche su dispositivi mobili, la necessità di intervenire con pezzi di ricambio o procedure di verifica/pulizia/regolazione manuale. A seconda della tipologia di violazione della policy svilupperemo delle azioni che andranno a limitare o addirittura interrompere le attività del macchinario o porzioni di esso. Parallelamente all'intervento sul macchinario occorrerà implementare un meccanismo di comunicazione standard per l'emissione di un certo tipo di avvisi (sonori, luminosi, notifiche push inviate su dispositivi mobile e wearable). Sottoponendo il sistema da sviluppare al flusso dei dati provenienti dall'AI acustica e a quello proveniente dal sistema di gestione del macchinario saremo in grado di processare tutte le policies introdotte e di intervenire attivamente sul macchinario stesso, limitandone le attività o segnalando situazioni di pericolo mediante opportuni dispositivi. In questo primo deliverable ci si è presi cura di realizzare una early release di interfacce per lo scambio di informazioni con lo SCADA. La presenza di queste interfacce garantisce la possibilità di registrare dataset sincroni con le variabili delle macchine (settate e/o misurate da sensori a bordo) e con i segnali acustici ottenuti grazie ai sistemi messi a punto nell'Attività Operativa 1.2.Source: ISTI Project report, Smart Converting 4.0, D1.3.1, 2021
See at: CNR ExploRA
2021
Report
Unknown
D3.1- TiAssisto - Identificazione degli standard
Ignesti G., Ragognetti G., Moroni D., Pratali L., Martinelli M.
Implementazione Piattaforma del progetto TiAssisto - Attività 3.1 "Design e sviluppo del sistema di gestione dati" di cui rappresenta l'output finale.Source: ISTI Project report, TiAssisto, D3.1, 2021
Ignesti G., Ragognetti G., Moroni D., Pratali L., Martinelli M.
Implementazione Piattaforma del progetto TiAssisto - Attività 3.1 "Design e sviluppo del sistema di gestione dati" di cui rappresenta l'output finale.Source: ISTI Project report, TiAssisto, D3.1, 2021
See at: CNR ExploRA
2021
Report
Unknown
D4.2: TiAssisto - Implementazione dei servizi intelligenti di supporto alla decisione
Ignesti G., Deri C., D'Angelo G., Moroni D., Pratali L., Martinelli M.
Implementazione dei servizi intelligenti di supporto alla decisione (IDSS).Source: ISTI Project report, TiAssisto, D4.2, 2021
Ignesti G., Deri C., D'Angelo G., Moroni D., Pratali L., Martinelli M.
Implementazione dei servizi intelligenti di supporto alla decisione (IDSS).Source: ISTI Project report, TiAssisto, D4.2, 2021
See at: CNR ExploRA
2021
Report
Unknown
Classificazione automatica delle specie di orchidee spontanee della regione Toscana
Martinelli M., Dell'Orso R.
Questo documento descrive l'applicazione per la classificazione automatica delle specie di orchidee spontanee della regione Toscana.Source: ISTI Working papers, 2021
Martinelli M., Dell'Orso R.
Questo documento descrive l'applicazione per la classificazione automatica delle specie di orchidee spontanee della regione Toscana.Source: ISTI Working papers, 2021
See at: CNR ExploRA
2021
Report
Unknown
D4.1 TiAssisto - Data processing e servizi di supporto alla decisione intelligente
Ignesti G., Bruno A., Pardini F., Moroni D., Deri C., D'Angelo G., Pratali L., Martinelli M.
Il presente documento è il primo deliverable dell'Obiettivo Operativo 4 "Data processing e servizi di supporto alla decisione intelligente".Source: ISTI Project report, TiAssisto, D4.1, 2021
Ignesti G., Bruno A., Pardini F., Moroni D., Deri C., D'Angelo G., Pratali L., Martinelli M.
Il presente documento è il primo deliverable dell'Obiettivo Operativo 4 "Data processing e servizi di supporto alla decisione intelligente".Source: ISTI Project report, TiAssisto, D4.1, 2021
See at: CNR ExploRA
2020
Contribution to conference
Open Access
Augmented reality and intelligent systems in Industry 4.0
Benassi A., Carboni A., Colantonio S., Coscetti S., Germanese D., Jalil B., Leone R., Magnavacca J., Magrini M., Martinelli M., Matarese F., Moroni D., Paradisi P., Pardini F., Pascali M., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
Augmented reality and intelligent systems in Industry 4.0 - Presentazione ARTESSource: ARTES, 12/11/2020
DOI: 10.5281/zenodo.4277713
DOI: 10.5281/zenodo.4277712
Metrics:
Benassi A., Carboni A., Colantonio S., Coscetti S., Germanese D., Jalil B., Leone R., Magnavacca J., Magrini M., Martinelli M., Matarese F., Moroni D., Paradisi P., Pardini F., Pascali M., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
Augmented reality and intelligent systems in Industry 4.0 - Presentazione ARTESSource: ARTES, 12/11/2020
DOI: 10.5281/zenodo.4277713
DOI: 10.5281/zenodo.4277712
Metrics:
See at:
ISTI Repository | CNR ExploRA
2020
Report
Unknown
Flusso Modulo IA. - Barilla AgroSat+
Bruno A., Moroni D., Martinelli M.
Flusso Modulo IA. - Barilla AgroSat+Source: Project Report, Barilla AgroSat+, 2020
Bruno A., Moroni D., Martinelli M.
Flusso Modulo IA. - Barilla AgroSat+Source: Project Report, Barilla AgroSat+, 2020
See at: CNR ExploRA
2020
Contribution to conference
Unknown
Le style de vie des montagnards
Agazzi G., Bastiani L., Pratali L., Valoti P., Carrara B., Parigi G. B., Malannino M., Spinelli A., Calderoli A., Orizio L., D'Angelo G., Giardini G., Moroni D., Sposta S. M., Martinelli M.
La variation des visiteurs de montagne ces dernières années modifie de manière significative les problèmes du territoire montagnard: si d'une part le nombre de visiteurs temporaires augmente (touristes, travailleurs, etc ...), d'autre part le nombre d'habitants diminue. Le premier, parmi les divers, élève la maladie aiguë de haute montagne (MAM) à un problème de santé publique non négligeable; le second conduit à une gestion moindre du territoire générant des problèmes directs et indirects, parmi ceux-ci, également favorisés par le réchauffement climatique, ainsi que la prolifération des tiques. Cette recherche a spécifiquement examiné les facteurs de risque individuels liés au mode de vie et à la MAM.Source: 5e Colloque de médecine de montagne et d'aventure, Parc du Mont-Orford, Quebec, Canada, 22-26/01/2020
Agazzi G., Bastiani L., Pratali L., Valoti P., Carrara B., Parigi G. B., Malannino M., Spinelli A., Calderoli A., Orizio L., D'Angelo G., Giardini G., Moroni D., Sposta S. M., Martinelli M.
La variation des visiteurs de montagne ces dernières années modifie de manière significative les problèmes du territoire montagnard: si d'une part le nombre de visiteurs temporaires augmente (touristes, travailleurs, etc ...), d'autre part le nombre d'habitants diminue. Le premier, parmi les divers, élève la maladie aiguë de haute montagne (MAM) à un problème de santé publique non négligeable; le second conduit à une gestion moindre du territoire générant des problèmes directs et indirects, parmi ceux-ci, également favorisés par le réchauffement climatique, ainsi que la prolifération des tiques. Cette recherche a spécifiquement examiné les facteurs de risque individuels liés au mode de vie et à la MAM.Source: 5e Colloque de médecine de montagne et d'aventure, Parc du Mont-Orford, Quebec, Canada, 22-26/01/2020
See at: CNR ExploRA
2020
Other
Unknown
Cosa sa la popolazione generale delle radiazioni ionizzanti?
Paolicchi F., Martinelli M., Bastiani L.
Materiale del Corso "Il monitoraggio informatico della dose" Pisa 30/1/2020 - Aula Della Radiodiagnostica 1, Ospedale Di Cisanello, Pisa.
Paolicchi F., Martinelli M., Bastiani L.
Materiale del Corso "Il monitoraggio informatico della dose" Pisa 30/1/2020 - Aula Della Radiodiagnostica 1, Ospedale Di Cisanello, Pisa.
See at: CNR ExploRA | www.corsiecm.info
2020
Report
Unknown
Deep learning for time series
Martinelli M.
The main purpose of this technical report is only to introduce to the use of the "pandas" open source, BSD-licensed library1. and of the TensorFlow framework2 fot forecasting time series. The use case chosen is of great relevance, the application is a mere experiment that a posteriori can find a confirmation: data is used for SARS Cov-2 spread forecasting too, it is fair to reiterate that these are only a kind of study notes. This is not an epidemiological study, moreover forecasts are strongly based on the numbero suspected cases, that is most probably higher than reported, of course on the behaviour of citizens, and on other unpredicatble factors. Moreover a recent study3 supposes that most infective people are asympthomatic.Source: ISTI Working papers, 2020
Martinelli M.
The main purpose of this technical report is only to introduce to the use of the "pandas" open source, BSD-licensed library1. and of the TensorFlow framework2 fot forecasting time series. The use case chosen is of great relevance, the application is a mere experiment that a posteriori can find a confirmation: data is used for SARS Cov-2 spread forecasting too, it is fair to reiterate that these are only a kind of study notes. This is not an epidemiological study, moreover forecasts are strongly based on the numbero suspected cases, that is most probably higher than reported, of course on the behaviour of citizens, and on other unpredicatble factors. Moreover a recent study3 supposes that most infective people are asympthomatic.Source: ISTI Working papers, 2020
See at: CNR ExploRA
2020
Journal article
Open Access
High altitude mountain telemedicine
Martinelli M., Bastiani L., Moroni D., Mrakic-Sposta S., Giardini G., Pratali L.
Introduction: An innovative teleconsultation platform has been designed, developed and validated between Summer 2017 and Winter 2018, in five mountain huts and in three remote outpatients clinical centres of the Italian region Valle d'Aosta of the Mont Blanc massif area. Methods: An ad hoc video- conference system was developed within the framework of the e-Rés@mont (Interreg Alcotra) European project, to tackle general health problems and high altitude diseases (such as acute mountain sickness, high-altitude pulmonary and cerebral edema). The system allows contacting physicians at the main hospital in Aosta to perform a specific diagnosis and to give specific advice and therapy to the patients in an extreme environment out-hospital setting. At an altitude between 1500 and 3500 meters, five trained nurses performed clinical evaluations (anamnesis, blood pressure, heart rate, oxygen saturation), electrocardiographic and echography monitoring on both tourists and residents as necessary; all the collected data were sent to the physicians in Aosta. Results: A total of 702 teleconsultation cases were performed: 333 dismissed (47%), 356 observed (51%), 13 immediate interventions (2%). In 30 cases the physicians decided there was no need for helicopter and ambulance rescue intervention and hospital admissions. The main physiological measures, the classified pathologies, the severe cases, and cost savings are described. Discussion: The e-Rés@mont teleconsultation platform has been discussed in terms of treated cases, feasibility, proactivity in reducing complexities, direct and indirect advantages, and diagnostics help; moreover general and specific pros and cons have been debated, and future steps have been exposed.Source: Journal of telemedicine and telecare (2020). doi:10.1177/1357633X20921020
DOI: 10.1177/1357633x20921020
Metrics:
Martinelli M., Bastiani L., Moroni D., Mrakic-Sposta S., Giardini G., Pratali L.
Introduction: An innovative teleconsultation platform has been designed, developed and validated between Summer 2017 and Winter 2018, in five mountain huts and in three remote outpatients clinical centres of the Italian region Valle d'Aosta of the Mont Blanc massif area. Methods: An ad hoc video- conference system was developed within the framework of the e-Rés@mont (Interreg Alcotra) European project, to tackle general health problems and high altitude diseases (such as acute mountain sickness, high-altitude pulmonary and cerebral edema). The system allows contacting physicians at the main hospital in Aosta to perform a specific diagnosis and to give specific advice and therapy to the patients in an extreme environment out-hospital setting. At an altitude between 1500 and 3500 meters, five trained nurses performed clinical evaluations (anamnesis, blood pressure, heart rate, oxygen saturation), electrocardiographic and echography monitoring on both tourists and residents as necessary; all the collected data were sent to the physicians in Aosta. Results: A total of 702 teleconsultation cases were performed: 333 dismissed (47%), 356 observed (51%), 13 immediate interventions (2%). In 30 cases the physicians decided there was no need for helicopter and ambulance rescue intervention and hospital admissions. The main physiological measures, the classified pathologies, the severe cases, and cost savings are described. Discussion: The e-Rés@mont teleconsultation platform has been discussed in terms of treated cases, feasibility, proactivity in reducing complexities, direct and indirect advantages, and diagnostics help; moreover general and specific pros and cons have been debated, and future steps have been exposed.Source: Journal of telemedicine and telecare (2020). doi:10.1177/1357633X20921020
DOI: 10.1177/1357633x20921020
Metrics:
See at:
Journal of Telemedicine and Telecare | journals.sagepub.com | Journal of Telemedicine and Telecare | ISTI Repository | ISTI Repository | CNR ExploRA
2020
Report
Unknown
AgroSat+ Workflow riconoscimento-AI
Martinelli M., Moroni D.
Report per la realizzazione di un engine di riconoscimento automatico delle immagini.Source: Project report, AgroSat+, 2020
Martinelli M., Moroni D.
Report per la realizzazione di un engine di riconoscimento automatico delle immagini.Source: Project report, AgroSat+, 2020
See at: CNR ExploRA
2020
Other
Unknown
Segnali e Immagini
Martinelli M., Benassi A.
Materiale didattico per il corso "Altre attività utili per l'inserimento nel mondo del lavoro", rif. Prof. Ing. Andrea Ginghiali, Ingegneria Biomedica
Martinelli M., Benassi A.
Materiale didattico per il corso "Altre attività utili per l'inserimento nel mondo del lavoro", rif. Prof. Ing. Andrea Ginghiali, Ingegneria Biomedica
See at: CNR ExploRA
2020
Journal article
Open Access
Assessment and Diagnostic Accuracy Evaluation of the Reflux Symptom Index (RSI) Scale: Psychometric Properties using Optimal Scaling Techniques
Nacci A., Bastiani L., Barillari M. R., Lechien J. R., Martinelli M., De Bortoli N., Berrettini S., Fattori B.
Objectives: To investigate the psychometric properties of the reflux symptom index (RSI) as short screening approach for the diagnostic of laryngopharyngeal reflux (LPR) in patients with confirmed diagnosed regarding the 24-hour multichannel intraluminal impedance-pH monitoring (MII-pH). Methods: From January 2017 to December 2018, 56 patients with LPR symptoms and 71 healthy individuals (control group) were prospectively enrolled. The LPR diagnosis was confirmed through MII-pH results. All subjects (n = 127) fulfilled RSI and the Reflux Finding Score (RFS) was performed through flexible fiberoptic endoscopy. The sensitivity and the specificity of RSI was assessed by ROC (Receiver Operating Characteristic) analysis. Results: A total of 15 LPR patients (26.8%) of the clinical group met MII-pH diagnostic criteria. Among subjects classified as positive for MII- pH diagnoses, RSI and RFS mean scores were respectively 20 (SD ± 10.5) and 7.1 (SD ± 2.5), values not significantly different compared to the negative MII-pH group. The metric analysis of the items led to the realization of a binary recoding of the score. Both versions had similar psychometric properties, ? was 0.840 for RSI original version and 0.836 for RSI binary version. High and comparable area under curve (AUC) values indicate a good ability of both scales to discriminate between individuals with and without LPR pathology diagnosis. Based on balanced sensitivity and specificity, the optimal cut-off scores for LPR pathology were >= 5 for RSI binary version and >= 15 for RSI original version. Both version overestimated LPR prevalence. The original version had more sensitivity and the RSI Binary version had more specificity. Conclusions: It would be necessary to think about modifying the original RSI in order to improve its sensitivity and specificity (RSI binary version, adding or changing some items), or to introduce new scores in order to better frame the probably affected of LPR patient.Source: The Annals of otology, rhinology & laryngology (Online) (2020). doi:10.1177/0003489420930034
DOI: 10.1177/0003489420930034
Metrics:
Nacci A., Bastiani L., Barillari M. R., Lechien J. R., Martinelli M., De Bortoli N., Berrettini S., Fattori B.
Objectives: To investigate the psychometric properties of the reflux symptom index (RSI) as short screening approach for the diagnostic of laryngopharyngeal reflux (LPR) in patients with confirmed diagnosed regarding the 24-hour multichannel intraluminal impedance-pH monitoring (MII-pH). Methods: From January 2017 to December 2018, 56 patients with LPR symptoms and 71 healthy individuals (control group) were prospectively enrolled. The LPR diagnosis was confirmed through MII-pH results. All subjects (n = 127) fulfilled RSI and the Reflux Finding Score (RFS) was performed through flexible fiberoptic endoscopy. The sensitivity and the specificity of RSI was assessed by ROC (Receiver Operating Characteristic) analysis. Results: A total of 15 LPR patients (26.8%) of the clinical group met MII-pH diagnostic criteria. Among subjects classified as positive for MII- pH diagnoses, RSI and RFS mean scores were respectively 20 (SD ± 10.5) and 7.1 (SD ± 2.5), values not significantly different compared to the negative MII-pH group. The metric analysis of the items led to the realization of a binary recoding of the score. Both versions had similar psychometric properties, ? was 0.840 for RSI original version and 0.836 for RSI binary version. High and comparable area under curve (AUC) values indicate a good ability of both scales to discriminate between individuals with and without LPR pathology diagnosis. Based on balanced sensitivity and specificity, the optimal cut-off scores for LPR pathology were >= 5 for RSI binary version and >= 15 for RSI original version. Both version overestimated LPR prevalence. The original version had more sensitivity and the RSI Binary version had more specificity. Conclusions: It would be necessary to think about modifying the original RSI in order to improve its sensitivity and specificity (RSI binary version, adding or changing some items), or to introduce new scores in order to better frame the probably affected of LPR patient.Source: The Annals of otology, rhinology & laryngology (Online) (2020). doi:10.1177/0003489420930034
DOI: 10.1177/0003489420930034
Metrics:
See at:
ISTI Repository | Annals of Otology Rhinology & Laryngology | Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" | journals.sagepub.com | CNR ExploRA
2020
Report
Unknown
Barilla AgroSat+ Primo prototipo
Martinelli M., Moroni D.
Primo prototipo per progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020
Martinelli M., Moroni D.
Primo prototipo per progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020
See at: CNR ExploRA
2020
Report
Open Access
How to effectively implement a multimedia telegram bot
Galesi G., Martinelli M.
The purpose of this document is to describe the creation of a multimedia BOT for Telegram 1. A bot is a third-party software application that run inside Telegram and performs automated jobs, responding to requests from human users. Users can interact with bots by sending them messages and commands. It is possible to control a bot using HTTPS requests by means of the Telegram Bot API 2 . For the server part a script written in PHP will be described.Source: ISTI Technical Reports 006/2020, 2020, 2020
DOI: 10.32079/isti-tr-2020/006
Metrics:
Galesi G., Martinelli M.
The purpose of this document is to describe the creation of a multimedia BOT for Telegram 1. A bot is a third-party software application that run inside Telegram and performs automated jobs, responding to requests from human users. Users can interact with bots by sending them messages and commands. It is possible to control a bot using HTTPS requests by means of the Telegram Bot API 2 . For the server part a script written in PHP will be described.Source: ISTI Technical Reports 006/2020, 2020, 2020
DOI: 10.32079/isti-tr-2020/006
Metrics:
See at:
ISTI Repository | CNR ExploRA
2020
Journal article
Open Access
Reflux Symptom Index (RSI) and singing voice handicap index (SVHI) in singing students. A pilot study.
Nacci A., Bastiani L., Barillari M. R., Martinelli M., Lechien J. R., Simoni F., Berrettini S., Fattori B.
Objective To correlate, RSI with SVHI, in a group of singing students, by means of a specific anamnestic questionnaire which analyzes the physical, social, emotional, and economic impacts of voice problems on their lives. This study is a cross-sectional single-center observational study. Methods Forty-two modern singing students (26F/16M; average age: 24.9 ± 5.7; range: 16-46 years old) were recruited. A self-assessment of the singing-voice (SVHI) and of reflux symptom (RSI) was performed. Results Using the validated RSI threshold, 31% of participants were classified as RSI greater than 13 as an indication of suspected LPR. Classifying the SVHI score as proposed in the recent literature (cutoff of 20.35) our sample was a voice disorders prevalence of 71.4%. There was no significant positive or negative relationship between RSI and SVHI total score (rho = 0.238, P = 0.13). Instead, by considering the relationship between the individual items of the two questionnaires, it is highlighted that the item 1 of SVHI was significantly correlated with most of the RSI items ( P = 0.0001-0.006). In the same vein, the item 5 of SVHI was correlated to hoarseness and coughing ( P = 0.005-0.006). The item 20 of SVHI was significantly correlated with hoarseness, excess mucus in the throat or postnasal drip and with the pharyngeal Globus sensation ( P = 0.001-0.005). By aggregating the SVHI item response as a positive response (2-4) versus a negative response (0 or 1) between "RSI pathology classification," a significant association was observed for SVHI item 1 ( P < 0.021), item 5 ( P < 0.006), item 20 ( P < 0.042), item 24 ( P < 0.044) item 25 ( P < 0.047). These associations were confirmed by univariate binary logistic. Multivariate binary logistic regression confirms that SVHI Item 1, Item 5 were more associated with RSI positive. Based on results, we propose a questionnaire that combines the most relevant SVHI items correlated to LPRD (SVHI-10-LPRD questionnaire). Cronbach's alpha coefficient for the 10 items selected was 0.87; item-total correlation coefficients for each item were in the range of 0.461 to 0.670. Conclusions This pilot study shows that, in case of significant RSI for LPR, it is possible to observe a significant association with some symptoms described in SVHI. These results underline that the association of the RSI and SVHI questionnaires administered to singers and singing students, can represent a simple screening to reveal possible alterations of the singing voice correlate to LPR. Moreover, we propose a Singing Voice Handicap Index correlated to LPR (SVHI-10-LPRD). It will be necessary to increase the sample of subjects in the study to confirm these preliminary data.Source: Journal of voice 36 (2020): 288.e25–288.e34. doi:10.1016/j.jvoice.2020.05.005
DOI: 10.1016/j.jvoice.2020.05.005
Metrics:
Nacci A., Bastiani L., Barillari M. R., Martinelli M., Lechien J. R., Simoni F., Berrettini S., Fattori B.
Objective To correlate, RSI with SVHI, in a group of singing students, by means of a specific anamnestic questionnaire which analyzes the physical, social, emotional, and economic impacts of voice problems on their lives. This study is a cross-sectional single-center observational study. Methods Forty-two modern singing students (26F/16M; average age: 24.9 ± 5.7; range: 16-46 years old) were recruited. A self-assessment of the singing-voice (SVHI) and of reflux symptom (RSI) was performed. Results Using the validated RSI threshold, 31% of participants were classified as RSI greater than 13 as an indication of suspected LPR. Classifying the SVHI score as proposed in the recent literature (cutoff of 20.35) our sample was a voice disorders prevalence of 71.4%. There was no significant positive or negative relationship between RSI and SVHI total score (rho = 0.238, P = 0.13). Instead, by considering the relationship between the individual items of the two questionnaires, it is highlighted that the item 1 of SVHI was significantly correlated with most of the RSI items ( P = 0.0001-0.006). In the same vein, the item 5 of SVHI was correlated to hoarseness and coughing ( P = 0.005-0.006). The item 20 of SVHI was significantly correlated with hoarseness, excess mucus in the throat or postnasal drip and with the pharyngeal Globus sensation ( P = 0.001-0.005). By aggregating the SVHI item response as a positive response (2-4) versus a negative response (0 or 1) between "RSI pathology classification," a significant association was observed for SVHI item 1 ( P < 0.021), item 5 ( P < 0.006), item 20 ( P < 0.042), item 24 ( P < 0.044) item 25 ( P < 0.047). These associations were confirmed by univariate binary logistic. Multivariate binary logistic regression confirms that SVHI Item 1, Item 5 were more associated with RSI positive. Based on results, we propose a questionnaire that combines the most relevant SVHI items correlated to LPRD (SVHI-10-LPRD questionnaire). Cronbach's alpha coefficient for the 10 items selected was 0.87; item-total correlation coefficients for each item were in the range of 0.461 to 0.670. Conclusions This pilot study shows that, in case of significant RSI for LPR, it is possible to observe a significant association with some symptoms described in SVHI. These results underline that the association of the RSI and SVHI questionnaires administered to singers and singing students, can represent a simple screening to reveal possible alterations of the singing voice correlate to LPR. Moreover, we propose a Singing Voice Handicap Index correlated to LPR (SVHI-10-LPRD). It will be necessary to increase the sample of subjects in the study to confirm these preliminary data.Source: Journal of voice 36 (2020): 288.e25–288.e34. doi:10.1016/j.jvoice.2020.05.005
DOI: 10.1016/j.jvoice.2020.05.005
Metrics:
See at:
ISTI Repository | Journal of Voice | Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli" | www.sciencedirect.com | CNR ExploRA
2020
Other
Unknown
Teleconsulto ecografico polmonare per la medicina di emergenza
Martinelli M., Salerno D., Guerrini E., Bulletti F., Barbieri G., Pratali L., Ghiadoni L., Rugna M., Magazzini S., Ponchietti S., Spinelli S.
Sistema di teleconsulto Coordinamento Studio Ecografia polmonare nel COVID.
Martinelli M., Salerno D., Guerrini E., Bulletti F., Barbieri G., Pratali L., Ghiadoni L., Rugna M., Magazzini S., Ponchietti S., Spinelli S.
Sistema di teleconsulto Coordinamento Studio Ecografia polmonare nel COVID.
See at: CNR ExploRA | teleeco.isti.cnr.it
2020
Report
Unknown
Forecasting industrial components life cycle: Futura Prototype 1
Martinelli M., Moroni D., Pardini F., Benassi A., Salvetti O.
The purpose of this research report is to describe the first working prototype able to forecast the life cycle of an industrial component by Futura S.p.A.Source: Project report, 2020
Martinelli M., Moroni D., Pardini F., Benassi A., Salvetti O.
The purpose of this research report is to describe the first working prototype able to forecast the life cycle of an industrial component by Futura S.p.A.Source: Project report, 2020
See at: CNR ExploRA
2020
Report
Unknown
Barilla AgroSat+ Secondo prototipo
Martinelli M., Moroni D.
Secondo prototipo per progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020
Martinelli M., Moroni D.
Secondo prototipo per progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020
See at: CNR ExploRA
2020
Report
Unknown
Barilla AgroSat+ Terzo aggiornamento
Martinelli M., Moroni D.
Terzo e quarto prototipo per progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020
Martinelli M., Moroni D.
Terzo e quarto prototipo per progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020
See at: CNR ExploRA
2020
Report
Unknown
Barilla AgroSat+ Quarto aggiornamento
Benassi A., Bruno A., Galesi G., Moroni D., Pardini F., Ovidio Salvetti O., Martinelli M.
Prototipi vari per progetto Barilla Agrosat+.Source: Project report, AgroSat+, 2020
Benassi A., Bruno A., Galesi G., Moroni D., Pardini F., Ovidio Salvetti O., Martinelli M.
Prototipi vari per progetto Barilla Agrosat+.Source: Project report, AgroSat+, 2020
See at: CNR ExploRA
2020
Report
Unknown
Barilla AgroSat+: Interazione App-Server e Modelli
Bruno A., Moroni D., Martinelli M., Rocchi L., Dainelli R., Toscano P
Interazione App-Server e Modelli per il Progetto Barilla AgroSat+Source: Project report, AgroSat+, 2020
Bruno A., Moroni D., Martinelli M., Rocchi L., Dainelli R., Toscano P
Interazione App-Server e Modelli per il Progetto Barilla AgroSat+Source: Project report, AgroSat+, 2020
See at: CNR ExploRA
2020
Report
Unknown
Optical/SAR data and system Integration for Rush Identification of Ship models OSIRIS 2 - ESA Project The Ground Truth Data Base
Martinelli M., Reggiannini M., Righi M., Salerno E., Tampucci M.
Presentazione Kick-Off MeetingSource: Project report, 2020
Martinelli M., Reggiannini M., Righi M., Salerno E., Tampucci M.
Presentazione Kick-Off MeetingSource: Project report, 2020
See at: CNR ExploRA
2020
Report
Unknown
OSIRIS-FO
Martinelli M., Moroni D., Reggiannini M., Righi M., Salerno E., Tampucci M.
OSIRIS-FO Ship Classification and Ship Kinematics EstimationSource: Project report, OSIRIS-FO, 2020
Martinelli M., Moroni D., Reggiannini M., Righi M., Salerno E., Tampucci M.
OSIRIS-FO Ship Classification and Ship Kinematics EstimationSource: Project report, OSIRIS-FO, 2020
See at: CNR ExploRA
2020
Report
Unknown
Barilla AgroSat+: Protocollo di Comunicazione
Bruno A., Moroni D., Martinelli M., Rocchi L., Dainelli R., Toscano P
Protocollo di Comunicazione Progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020
Bruno A., Moroni D., Martinelli M., Rocchi L., Dainelli R., Toscano P
Protocollo di Comunicazione Progetto Barilla Agrosat+Source: Project report, AgroSat+, 2020
See at: CNR ExploRA
2020
Report
Unknown
Primo test di valutazione delle informazioni - Progetto CloudPathology-DiOncoGen
Martinelli M., Moroni D.
Il presente documento fornisce i risultati del primo test di valutazione delle informazioni ricevute nell'ambito del progetto CloudPathology-DiOncoGen.Source: Project Report, CloudPathology-DiOncoGen, 2020
Martinelli M., Moroni D.
Il presente documento fornisce i risultati del primo test di valutazione delle informazioni ricevute nell'ambito del progetto CloudPathology-DiOncoGen.Source: Project Report, CloudPathology-DiOncoGen, 2020
See at: CNR ExploRA
2020
Contribution to book
Unknown
Radiazioni Ionizzanti e Popolazione Generale. Cosa sanno gli Italiani delle procedure radiologiche in Medicina
Bastiani L., Paolicchi F., Martinelli M., Gerasia R.
Il volume presenta i risultati del progetto RadIoPoGe "Radiazioni Ionizzanti, Popolazione Generale", promosso dall'Istituto di Fisiologia Clinica (IFC) e dall'Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo" (ISTI) del CNR di Pisa e coordinato dall'Azienda Ospedaliero Universitaria Pisana (AOUP). RadIoPoGe si è mosso in due direzioni: descrivere il grado di conoscenza da parte della popolazione rispetto alle radiazioni ionizzanti impiegate nella diagnostica medica e dare agli operatori sanitari gli strumenti per demistificare idee preconcette fornendo un'informazione mirata ai pazienti. Il progetto ha coinvolto per alcuni anni molti centri Italiani e migliaia di nostri concittadini hanno regalato un po' del loro tempo per consentire la raccolta dei dati che sono presentati in questo volume. I risultati ottenuti costituiscono un prezioso riferimento per Medici, TSRM e Fisici Sanitari che possono trovarvi spunti utili per comunicare efficacemente ai pazienti il proprio impegno volto a minimizzare i rischi delle ra- diazioni ionizzanti e a massimizzare i livelli di qua- lità dei servizi di diagnostica per immagini.Source: Roma: CNR, 2020
Bastiani L., Paolicchi F., Martinelli M., Gerasia R.
Il volume presenta i risultati del progetto RadIoPoGe "Radiazioni Ionizzanti, Popolazione Generale", promosso dall'Istituto di Fisiologia Clinica (IFC) e dall'Istituto di Scienza e Tecnologie dell'Informazione "A. Faedo" (ISTI) del CNR di Pisa e coordinato dall'Azienda Ospedaliero Universitaria Pisana (AOUP). RadIoPoGe si è mosso in due direzioni: descrivere il grado di conoscenza da parte della popolazione rispetto alle radiazioni ionizzanti impiegate nella diagnostica medica e dare agli operatori sanitari gli strumenti per demistificare idee preconcette fornendo un'informazione mirata ai pazienti. Il progetto ha coinvolto per alcuni anni molti centri Italiani e migliaia di nostri concittadini hanno regalato un po' del loro tempo per consentire la raccolta dei dati che sono presentati in questo volume. I risultati ottenuti costituiscono un prezioso riferimento per Medici, TSRM e Fisici Sanitari che possono trovarvi spunti utili per comunicare efficacemente ai pazienti il proprio impegno volto a minimizzare i rischi delle ra- diazioni ionizzanti e a massimizzare i livelli di qua- lità dei servizi di diagnostica per immagini.Source: Roma: CNR, 2020
See at: CNR ExploRA
2020
Book
Unknown
Radiazioni Ionizzanti e Popolazione Generale - RadIoPoGe
Caramella D., Paolicchi F., Dore A., Feriani G., Aringhieri G., Pozzessere C., Di Coscio L., Marcheschi A., Grattadauria S., Bastiani L., Trivellini G., Serasini L., Banti D., Martinelli M., Benassi A., Galesi G., Pardini F., Salvetti O., Chiappino D., Micaela P., Rinaldi R., Della Latta D., Martini C., Curlo I., Rossi G., Cornacchione P., Giardina M., Carnevali F., Iacovone S., Pertoldi D., Favat M., Contato E., Pelati C., Baccarin F., Negro D., Pizzi M., Gelmi C., Carlevaris P., Rossato C., Ribaudo K., Ceccarelli M., Saba L., Muntoni E., Caoci D., Busonera C., Spano A., Tronci A., Mura M., Giannoni D., Tamburrino P., Leggieri V., Rizzo V., Farese R., Pastore S., Rossetti F., Nuzzi G., Calligari D., Cioce P., Di Fuccia G., Liparulo M., Petriccione G., Romano S., Stringile M., Travaglione G., Negri J., Marinelli E., Angelini G., Gerasia R., Lo Sardo C.
Report Finale progetto RadIoPoGe.Source: Roma: CNR, 2020
Caramella D., Paolicchi F., Dore A., Feriani G., Aringhieri G., Pozzessere C., Di Coscio L., Marcheschi A., Grattadauria S., Bastiani L., Trivellini G., Serasini L., Banti D., Martinelli M., Benassi A., Galesi G., Pardini F., Salvetti O., Chiappino D., Micaela P., Rinaldi R., Della Latta D., Martini C., Curlo I., Rossi G., Cornacchione P., Giardina M., Carnevali F., Iacovone S., Pertoldi D., Favat M., Contato E., Pelati C., Baccarin F., Negro D., Pizzi M., Gelmi C., Carlevaris P., Rossato C., Ribaudo K., Ceccarelli M., Saba L., Muntoni E., Caoci D., Busonera C., Spano A., Tronci A., Mura M., Giannoni D., Tamburrino P., Leggieri V., Rizzo V., Farese R., Pastore S., Rossetti F., Nuzzi G., Calligari D., Cioce P., Di Fuccia G., Liparulo M., Petriccione G., Romano S., Stringile M., Travaglione G., Negri J., Marinelli E., Angelini G., Gerasia R., Lo Sardo C.
Report Finale progetto RadIoPoGe.Source: Roma: CNR, 2020
See at: CNR ExploRA
2020
Report
Unknown
Progetto CloudPathology-DiOncoGen. Secondo test di valutazione delle informazioni
Martinelli M., Moroni D.
Il presente documento fornisce i risultati del test di valutazione del secondo set di informazioni ricevuto nell'ambito del progetto CloudPathology-DiOncoGen.Source: ISTI Project reports, 2020
Martinelli M., Moroni D.
Il presente documento fornisce i risultati del test di valutazione del secondo set di informazioni ricevuto nell'ambito del progetto CloudPathology-DiOncoGen.Source: ISTI Project reports, 2020
See at: CNR ExploRA
2020
Other
Open Access
IA - Intelligenza Artificiale
Martinelli M.
Una introduzione all'Intelligenza Artificiale (IA). La nascita e gli approcci dell'IA. le applicazioni rese possibili dal Deep Learning; etica e rischi dell'utilizzo non controllato delle nuove tecnologie; applicazioni in ambito sanitario, industriale e nell'agricoltura di precisione co-realizzate al CNR.DOI: 10.5281/zenodo.4404694
DOI: 10.5281/zenodo.4404693
Metrics:
Martinelli M.
Una introduzione all'Intelligenza Artificiale (IA). La nascita e gli approcci dell'IA. le applicazioni rese possibili dal Deep Learning; etica e rischi dell'utilizzo non controllato delle nuove tecnologie; applicazioni in ambito sanitario, industriale e nell'agricoltura di precisione co-realizzate al CNR.DOI: 10.5281/zenodo.4404694
DOI: 10.5281/zenodo.4404693
Metrics:
See at:
ISTI Repository | CNR ExploRA
2020
Other
Unknown
Intelligenza Artificiale
Martinelli M.
Video - Una introduzione divulgativa all'Intelligenza Artificiale (IA). La nascita e gli approcci dell'IA. le applicazioni rese possibili dal Deep Learning; etica e rischi dell'utilizzo non controllato delle nuove tecnologie; applicazioni in ambito sanitario, industriale e nell'agricoltura di precisione co-realizzate al CNR.
Martinelli M.
Video - Una introduzione divulgativa all'Intelligenza Artificiale (IA). La nascita e gli approcci dell'IA. le applicazioni rese possibili dal Deep Learning; etica e rischi dell'utilizzo non controllato delle nuove tecnologie; applicazioni in ambito sanitario, industriale e nell'agricoltura di precisione co-realizzate al CNR.
See at: CNR ExploRA | zenodo.org
2019
Other
Open Access
Le radiazioni
Martinelli M., Bastiani L., Paolicchi F.
Una introduzione alle radiazioni - Materiale per Bright 2019
Martinelli M., Bastiani L., Paolicchi F.
Una introduzione alle radiazioni - Materiale per Bright 2019
See at:
ISTI Repository | CNR ExploRA
2019
Contribution to conference
Open Access
Lo Stile di Vita del Frequentatore della Montagna
Martinelli M., Bastiani L., Valoti P., Agazzi G., Carrara B., Parigi G. B., Marina Malannino M., Spinelli A., Calderoli A., Orizio L., Righi M., Pardini F., Benassi A., D'Angelo G., Giardini G., Moroni D., Mrakic Sposta S., Pratali L.
La variazione dei frequentatori della montagna degli ultimi anni sta significativamente cambiando le problematiche del territorio montano: se da un lato aumenta il numero delle presenze temporanee (turisti, lavoratori, etc...), dall'altro diminuisce quello degli abitanti. Il primo, tra le varie, sta elevando il Male Acuto di alta Montagna (MAM) a problema di salute pubblica non trascurabile; il secondo porta ad una minore gestione del territorio generando problemi diretti ed indiretti, tra questi, favorito altresì dal riscaldamento globale, anche la proliferazione delle zecche. Questa ricerca ha esaminato in particolare I fattori di rischio individuale relativo allo stile di vita e al MAM.Source: XXI CONVEGNO NAZIONALE SIMeM, Arabba, 28/09/2019
Martinelli M., Bastiani L., Valoti P., Agazzi G., Carrara B., Parigi G. B., Marina Malannino M., Spinelli A., Calderoli A., Orizio L., Righi M., Pardini F., Benassi A., D'Angelo G., Giardini G., Moroni D., Mrakic Sposta S., Pratali L.
La variazione dei frequentatori della montagna degli ultimi anni sta significativamente cambiando le problematiche del territorio montano: se da un lato aumenta il numero delle presenze temporanee (turisti, lavoratori, etc...), dall'altro diminuisce quello degli abitanti. Il primo, tra le varie, sta elevando il Male Acuto di alta Montagna (MAM) a problema di salute pubblica non trascurabile; il secondo porta ad una minore gestione del territorio generando problemi diretti ed indiretti, tra questi, favorito altresì dal riscaldamento globale, anche la proliferazione delle zecche. Questa ricerca ha esaminato in particolare I fattori di rischio individuale relativo allo stile di vita e al MAM.Source: XXI CONVEGNO NAZIONALE SIMeM, Arabba, 28/09/2019
See at:
ISTI Repository | CNR ExploRA
2019
Contribution to conference
Open Access
Conoscenza della popolazione sulla radioprotezione e sulla dose radiante delle principali procedure radiologiche
Bastiani L., Salvadori S., Martinelli M., Moroni D., Paolicchi F., Caramella D.
Nel corso degli ultimi decenni stiamo assistendo ad una rapida evoluzione delle tecniche di indagine radiologica, al fine di fornire prestazioni sempre più elevate e performanti. Il frequente e sistematico ricorso alle tecniche di diagnostica per immagini ha fatto sì che queste abbiano assunto il ruolo di strumento indispensabile per definire il corretto percorso terapeutico dei pazienti. Tutte queste metodiche tuttavia, se da un lato aumentano la capacità diagnostica delle procedure, dall'altro possono tendere ad esporre il paziente ad elevate quantità di radiazioni ionizzanti. Spesso il luogo comune associa alla parola "radiazioni" qualcosa di pericoloso. Limitata è però la consapevolezza relativa a quante radiazioni vengono impiegate per le diverse procedure diagnostiche e a quante ciascun individuo è quotidianamente esposto anche a causa del fondo naturale di radiazione.Source: BRIGHT 2019, 27/09/2019
Bastiani L., Salvadori S., Martinelli M., Moroni D., Paolicchi F., Caramella D.
Nel corso degli ultimi decenni stiamo assistendo ad una rapida evoluzione delle tecniche di indagine radiologica, al fine di fornire prestazioni sempre più elevate e performanti. Il frequente e sistematico ricorso alle tecniche di diagnostica per immagini ha fatto sì che queste abbiano assunto il ruolo di strumento indispensabile per definire il corretto percorso terapeutico dei pazienti. Tutte queste metodiche tuttavia, se da un lato aumentano la capacità diagnostica delle procedure, dall'altro possono tendere ad esporre il paziente ad elevate quantità di radiazioni ionizzanti. Spesso il luogo comune associa alla parola "radiazioni" qualcosa di pericoloso. Limitata è però la consapevolezza relativa a quante radiazioni vengono impiegate per le diverse procedure diagnostiche e a quante ciascun individuo è quotidianamente esposto anche a causa del fondo naturale di radiazione.Source: BRIGHT 2019, 27/09/2019
See at:
ISTI Repository | CNR ExploRA
2019
Other
Unknown
Conoscenze Popolazione Radiazioni - Sito del Progetto RadioPoGe
Martinelli M., Bastiani L., Paolicchi F., Salvetti O., Caramella D.
Aggiornamento del Sito web per il progetto "Conoscenze della popolazione sui rischi delle procedure radiologiche" dedicato alla raccolta e alla elaborazione dei dati per la valutazione delle conoscenze della popolazione in merito ai rischi delle procedure radiologiche e alla comprensione delle corrette modalità con cui comunicare tali rischi ai pazienti. Versione 1.3_4 del 2019-12-20
Martinelli M., Bastiani L., Paolicchi F., Salvetti O., Caramella D.
Aggiornamento del Sito web per il progetto "Conoscenze della popolazione sui rischi delle procedure radiologiche" dedicato alla raccolta e alla elaborazione dei dati per la valutazione delle conoscenze della popolazione in merito ai rischi delle procedure radiologiche e alla comprensione delle corrette modalità con cui comunicare tali rischi ai pazienti. Versione 1.3_4 del 2019-12-20
See at: CNR ExploRA | radiazioni.isti.cnr.it
2019
Contribution to conference
Open Access
Male acuto di montagna: una app per test di autovalutazione
Martinelli M., Giardini G., Bastiani L., Agazzi G. C., Mrakic Sposta S., Pratali L.
Una applicazione sul Male Acuto di Montagna per il frequentatore delle montagneSource: XXI CONVEGNO NAZIONALE SIMeM 2019, Arabba, 28/9/2019
Martinelli M., Giardini G., Bastiani L., Agazzi G. C., Mrakic Sposta S., Pratali L.
Una applicazione sul Male Acuto di Montagna per il frequentatore delle montagneSource: XXI CONVEGNO NAZIONALE SIMeM 2019, Arabba, 28/9/2019
See at:
ISTI Repository | CNR ExploRA
2019
Other
Open Access
Conoscenze Popolazione Radiazioni
Martinelli M., Bastiani L., Paolicchi F.
Sito web per il progetto "Conoscenze della popolazione sui rischi delle procedure radiologiche" dedicato alla raccolta e alla elaborazione dei dati per la valutazione delle conoscenze della popolazione in merito ai rischi delle procedure radiologiche e alla comprensione delle corrette modalità con cui comunicare tali rischi ai pazienti.
Martinelli M., Bastiani L., Paolicchi F.
Sito web per il progetto "Conoscenze della popolazione sui rischi delle procedure radiologiche" dedicato alla raccolta e alla elaborazione dei dati per la valutazione delle conoscenze della popolazione in merito ai rischi delle procedure radiologiche e alla comprensione delle corrette modalità con cui comunicare tali rischi ai pazienti.
See at:
ISTI Repository | CNR ExploRA | radiazioni.isti.cnr.it
2019
Report
Unknown
Deep learning in precision agriculture
Martinelli M., Benassi A., Pardini F., Righi M., Salvetti O., Moroni D.
The work described in this research report is part of the activities carried out within the Scientific Collaboration between the Laboratory of Signals and Images at CNR-ISTI and CNR-IBIMET.Source: Research report, 2019
Martinelli M., Benassi A., Pardini F., Righi M., Salvetti O., Moroni D.
The work described in this research report is part of the activities carried out within the Scientific Collaboration between the Laboratory of Signals and Images at CNR-ISTI and CNR-IBIMET.Source: Research report, 2019
See at: CNR ExploRA
2019
Report
Unknown
Deep Learning in Precision Agriculture: prototype 2
Martinelli M., Berton A., Moroni D.
The work described in this research report is part of the activities carried out within the Scientific Collaboration between the Laboratory of Signals and Images at CNR-ISTI and the Institute of Biometeorology (CNR-IBIMET).Source: Research report, 2019
Martinelli M., Berton A., Moroni D.
The work described in this research report is part of the activities carried out within the Scientific Collaboration between the Laboratory of Signals and Images at CNR-ISTI and the Institute of Biometeorology (CNR-IBIMET).Source: Research report, 2019
See at: CNR ExploRA
2019
Other
Unknown
See at: CNR ExploRA
2019
Other
Open Access
La telemedicina sulle montagne italiane il progetto e-Rés@mont
Martinelli M., Pratali L., Giardini G., La Monica D., Bastiani L., Fosson J. P., Bonin S., Cugnetto S., Fiorini A., Pernechele N., Ranfone M., Caligiana L., De La Pierre F., Stella M., Salvetti O., Moroni D.
Presentazione della Serata dedicata al Mal di Montagna e al progetto Europeo Interreg-Alcotra e-Rés@mont, organizzata dal Club Alpino Italiano sezione di Pisa presso il salone storico della Leopolda di Pisa
Martinelli M., Pratali L., Giardini G., La Monica D., Bastiani L., Fosson J. P., Bonin S., Cugnetto S., Fiorini A., Pernechele N., Ranfone M., Caligiana L., De La Pierre F., Stella M., Salvetti O., Moroni D.
Presentazione della Serata dedicata al Mal di Montagna e al progetto Europeo Interreg-Alcotra e-Rés@mont, organizzata dal Club Alpino Italiano sezione di Pisa presso il salone storico della Leopolda di Pisa
See at:
ISTI Repository | CNR ExploRA
2019
Journal article
Open Access
Visible and infrared imaging based inspection of power installation
Jalil B., Pascali M. A., Leone G. R., Martinelli M., Moroni D., Salvetti O., Berton A.
The inspection of power lines is the crucial task for the safe operation of power transmission: its components require regular checking to detect damages and faults that are caused by corrosion or any other environmental agents and mechanical stress. During recent years, the use of Unmanned Autonomous Vehicle (UAV) for environmental and industrial monitoring is constantly growing and the demand for fast and robust algorithms for the analysis of the data acquired by drones during the inspections has increased. In this work, we use UAV to acquire power transmission lines data and apply image processing to highlight expected faults. Our method is based on a fusion algorithm for the infrared and visible power lines images, which is invariant to large scale changes and illumination changes in the real operating environment. Hence, different algorithms from image processing are applied to visible and infrared thermal data, to track the power lines and to detect faults and anomalies. The method significantly identifies edges and hot spots from the set of frames with good accuracy. At the final stage we identify hot spots using thermal images. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: Pattern recognition and image analysis 29 (2019): 35–41. doi:10.1134/S1054661819010140
DOI: 10.1134/s1054661819010140
Metrics:
Jalil B., Pascali M. A., Leone G. R., Martinelli M., Moroni D., Salvetti O., Berton A.
The inspection of power lines is the crucial task for the safe operation of power transmission: its components require regular checking to detect damages and faults that are caused by corrosion or any other environmental agents and mechanical stress. During recent years, the use of Unmanned Autonomous Vehicle (UAV) for environmental and industrial monitoring is constantly growing and the demand for fast and robust algorithms for the analysis of the data acquired by drones during the inspections has increased. In this work, we use UAV to acquire power transmission lines data and apply image processing to highlight expected faults. Our method is based on a fusion algorithm for the infrared and visible power lines images, which is invariant to large scale changes and illumination changes in the real operating environment. Hence, different algorithms from image processing are applied to visible and infrared thermal data, to track the power lines and to detect faults and anomalies. The method significantly identifies edges and hot spots from the set of frames with good accuracy. At the final stage we identify hot spots using thermal images. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: Pattern recognition and image analysis 29 (2019): 35–41. doi:10.1134/S1054661819010140
DOI: 10.1134/s1054661819010140
Metrics:
See at:
ISTI Repository | Pattern Recognition and Image Analysis | link.springer.com | CNR ExploRA
2019
Report
Unknown
SCIADRO Algorithms for real-time object detection and recognition
Martinelli M., Benassi A., Salvetti O., Moroni D.
The purpose of this research report is to describe the final prototype implementing algorithms for real-time object detection and recognition.Source: Project report, SCIADRO, 2019
Martinelli M., Benassi A., Salvetti O., Moroni D.
The purpose of this research report is to describe the final prototype implementing algorithms for real-time object detection and recognition.Source: Project report, SCIADRO, 2019
See at: CNR ExploRA
2019
Other
Unknown
Le Tecnologie Web - PCTO
Martinelli M.
Una introduzione a HTML e CSS con esercizi da svolgere - Materiale didattico per gli studenti del Liceo Scientifico Ulisse Dini di Pisa in ambito PCTO (ex alternanza scuola-lavoro).
Martinelli M.
Una introduzione a HTML e CSS con esercizi da svolgere - Materiale didattico per gli studenti del Liceo Scientifico Ulisse Dini di Pisa in ambito PCTO (ex alternanza scuola-lavoro).
See at: CNR ExploRA | www1.isti.cnr.it
2019
Journal article
Open Access
Remote sensing for maritime prompt monitoring
Reggiannini M., Righi M., Tampucci M., Lo Duca A., Bacciu C., Bedini L., D'Errico A., Di Paola C., Marchetti A., Martinelli M., Mercurio C., Salerno E., Zizi B.
The main purpose of this paper is to describe a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade pipeline of several image processing algorithms that input Radar or Optical imagery captured by satellite-borne sensors and try to identify vessel targets in the scene and provide quantitative descriptors about their shape and motion. This platform is innovative since it integrates in its architecture heterogeneous data and data processing solutions with the goal of identifying navigating vessels in a unique and completely automatic processing streamline. More in detail, the processing chain consists of: (i) the detection of target vessels in an input map; (ii) the estimation of each vessel's most descriptive geometrical and scatterometric (for radar images) features; (iii) the estimation of the kinematics of each vessel; (iv) the prediction of each vessel's forthcoming route; and (v) the visualization of the results in a dedicated webGIS interface. The resulting platform represents a novel tool to counteract unauthorized fishing and tackle irregular migration and the related smuggling activities.Source: Journal of marine science and engineering 7 (2019). doi:10.3390/jmse7070202
DOI: 10.3390/jmse7070202
Metrics:
Reggiannini M., Righi M., Tampucci M., Lo Duca A., Bacciu C., Bedini L., D'Errico A., Di Paola C., Marchetti A., Martinelli M., Mercurio C., Salerno E., Zizi B.
The main purpose of this paper is to describe a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade pipeline of several image processing algorithms that input Radar or Optical imagery captured by satellite-borne sensors and try to identify vessel targets in the scene and provide quantitative descriptors about their shape and motion. This platform is innovative since it integrates in its architecture heterogeneous data and data processing solutions with the goal of identifying navigating vessels in a unique and completely automatic processing streamline. More in detail, the processing chain consists of: (i) the detection of target vessels in an input map; (ii) the estimation of each vessel's most descriptive geometrical and scatterometric (for radar images) features; (iii) the estimation of the kinematics of each vessel; (iv) the prediction of each vessel's forthcoming route; and (v) the visualization of the results in a dedicated webGIS interface. The resulting platform represents a novel tool to counteract unauthorized fishing and tackle irregular migration and the related smuggling activities.Source: Journal of marine science and engineering 7 (2019). doi:10.3390/jmse7070202
DOI: 10.3390/jmse7070202
Metrics:
See at:
Journal of Marine Science and Engineering | ISTI Repository | Journal of Marine Science and Engineering | Journal of Marine Science and Engineering | CNR ExploRA
2019
Journal article
Open Access
From human mesenchymal stromal cells to osteosarcoma cells classification by deep learning
D'Acunto M., Martinelli M., Moroni D.
Early diagnosis of cancer often allows for a more vast choice of therapy opportunities. After a cancer diagnosis, staging provides essential information about the extent of disease in the body and the expected response to a particular treatment. The leading importance of classifying cancer patients at the early stage into high or low-risk groups has led many research teams, both from the biomedical and bioinformatics field, to study the application of Deep Learning (DL) methods. The ability of DL to detect critical features from complex datasets is a significant achievement in early diagnosis and cell cancer progression. In this paper, we focus the attention on osteosarcoma. Osteosarcoma is one of the primary malignant bone tumors which usually afflicts people in adolescence. Our contribution to classification of osteosarcoma cells is made as follows: a DL approach is applied to discriminate human Mesenchymal Stromal Cells (MSCs) from osteosarcoma cells and to classify the different cell populations under investigation. Glass slides of different cell populations were cultured including MSCs, differentiated in healthy bone cells (osteoblasts) and osteosarcoma cells, both single cell populations or mixed. Images of such samples of isolated cells (single-type of mixed) are recorded with traditional optical microscopy. DL is then applied to identify and classify single cells. Proper data augmentation techniques and cross-fold validation are used to appreciate the capabilities of a convolutional neural network to address the cell detection and classification problem. Based on the results obtained on individual cells, and to the versatility and scalability of our DL approach, the next step will be its application to discriminate and classify healthy or cancer tissues to advance digital pathology.Source: Journal of intelligent & fuzzy systems 37 (2019): 7199–7206. doi:10.3233/JIFS-179332
DOI: 10.3233/jifs-179332
DOI: 10.48550/arxiv.2008.01864
Metrics:
D'Acunto M., Martinelli M., Moroni D.
Early diagnosis of cancer often allows for a more vast choice of therapy opportunities. After a cancer diagnosis, staging provides essential information about the extent of disease in the body and the expected response to a particular treatment. The leading importance of classifying cancer patients at the early stage into high or low-risk groups has led many research teams, both from the biomedical and bioinformatics field, to study the application of Deep Learning (DL) methods. The ability of DL to detect critical features from complex datasets is a significant achievement in early diagnosis and cell cancer progression. In this paper, we focus the attention on osteosarcoma. Osteosarcoma is one of the primary malignant bone tumors which usually afflicts people in adolescence. Our contribution to classification of osteosarcoma cells is made as follows: a DL approach is applied to discriminate human Mesenchymal Stromal Cells (MSCs) from osteosarcoma cells and to classify the different cell populations under investigation. Glass slides of different cell populations were cultured including MSCs, differentiated in healthy bone cells (osteoblasts) and osteosarcoma cells, both single cell populations or mixed. Images of such samples of isolated cells (single-type of mixed) are recorded with traditional optical microscopy. DL is then applied to identify and classify single cells. Proper data augmentation techniques and cross-fold validation are used to appreciate the capabilities of a convolutional neural network to address the cell detection and classification problem. Based on the results obtained on individual cells, and to the versatility and scalability of our DL approach, the next step will be its application to discriminate and classify healthy or cancer tissues to advance digital pathology.Source: Journal of intelligent & fuzzy systems 37 (2019): 7199–7206. doi:10.3233/JIFS-179332
DOI: 10.3233/jifs-179332
DOI: 10.48550/arxiv.2008.01864
Metrics:
See at:
arXiv.org e-Print Archive | Journal of Intelligent & Fuzzy Systems | ISTI Repository | content.iospress.com | Journal of Intelligent & Fuzzy Systems | doi.org | Hyper Article en Ligne | CNR ExploRA
2019
Other
Unknown
Lifestyle of mountain-goers
Martinelli M., Pratali L., Moroni D.
Tool to assess the characteristics of the lifestyle and present individual risk factors related to cardiovascular disease in the subjects attending the mountain. This is aimed at those who, not only for reasons closely associated with sports but simply for tourism, hiking, mountaineering and work, have the opportunity to stay in the mountains.
Martinelli M., Pratali L., Moroni D.
Tool to assess the characteristics of the lifestyle and present individual risk factors related to cardiovascular disease in the subjects attending the mountain. This is aimed at those who, not only for reasons closely associated with sports but simply for tourism, hiking, mountaineering and work, have the opportunity to stay in the mountains.
See at: altamontagna.isti.cnr.it | CNR ExploRA
2019
Journal article
Open Access
Fault detection in power equipment via an unmanned aerial system using multi modal data
Jalil B., Leone G. R., Martinelli M., Moroni M., Pascali M. A., Berton A.
The power transmission lines are the link between the power plants and the points of consumption, through substations. Most importantly, the assessment of damaged aerial power lines and rusted conductors is of extreme importance for public safety; hence, power line and associated components must be periodically inspected to ensure a continuous supply and to identify any fault and defect. To achieve these objectives, recently Unmanned Aerial Vehicles (UAVs) have been widely used: in fact, they provide a safe way to bring sensors close to the power transmission lines and their associated components without halting the equipment during the inspection, and reducing operational cost and risk. In this work, the drone, equipped with multi-modal sensors, captures images in the visible and infrared domain and transmits them to the ground station. We used state-of-the-art computer vision methods to highlight expected faults (i.e. hot spots) or damaged components of the electrical infrastructure (i.e. damaged insulators). Infrared imaging, which is invariant to large scale and illumination changes in the real operating environment, supported the identification of faults in power transmission lines; while a neural network is adapted and trained to detect and classify insulators from an optical video stream. We demonstrate our approach on the data captured by a drone in Parma, Italy.Source: Sensors (Basel) 19 (2019). doi:10.3390/s19133014
DOI: 10.3390/s19133014
Metrics:
Jalil B., Leone G. R., Martinelli M., Moroni M., Pascali M. A., Berton A.
The power transmission lines are the link between the power plants and the points of consumption, through substations. Most importantly, the assessment of damaged aerial power lines and rusted conductors is of extreme importance for public safety; hence, power line and associated components must be periodically inspected to ensure a continuous supply and to identify any fault and defect. To achieve these objectives, recently Unmanned Aerial Vehicles (UAVs) have been widely used: in fact, they provide a safe way to bring sensors close to the power transmission lines and their associated components without halting the equipment during the inspection, and reducing operational cost and risk. In this work, the drone, equipped with multi-modal sensors, captures images in the visible and infrared domain and transmits them to the ground station. We used state-of-the-art computer vision methods to highlight expected faults (i.e. hot spots) or damaged components of the electrical infrastructure (i.e. damaged insulators). Infrared imaging, which is invariant to large scale and illumination changes in the real operating environment, supported the identification of faults in power transmission lines; while a neural network is adapted and trained to detect and classify insulators from an optical video stream. We demonstrate our approach on the data captured by a drone in Parma, Italy.Source: Sensors (Basel) 19 (2019). doi:10.3390/s19133014
DOI: 10.3390/s19133014
Metrics:
See at:
Sensors | Sensors | ISTI Repository | ISTI Repository | Sensors | Sensors | ZENODO | Hyper Article en Ligne | CNR ExploRA
2019
Other
Unknown
Hypertension
Martinelli M., Pratali L., Moroni D., Parati G.
Tool to assess the presence of individual risk factors related to cardiovascular disease in the subjects frequenting the mountain. This is aimed at those who, not only for reasons closely associated with sports activities but simply for tourism, hiking, mountaineering and work, have the opportunity to stay in the mountains
Martinelli M., Pratali L., Moroni D., Parati G.
Tool to assess the presence of individual risk factors related to cardiovascular disease in the subjects frequenting the mountain. This is aimed at those who, not only for reasons closely associated with sports activities but simply for tourism, hiking, mountaineering and work, have the opportunity to stay in the mountains
See at: altamontagna.isti.cnr.it | CNR ExploRA
2019
Other
Unknown
Deep Learning - PCTO
Martinelli M.
Materiale didattico per gli studenti del Liceo Scientifico Ulisse Dini di Pisa nell'ambito del PCTO 2019 (ex alternanza scuola-lavoro).
Martinelli M.
Materiale didattico per gli studenti del Liceo Scientifico Ulisse Dini di Pisa nell'ambito del PCTO 2019 (ex alternanza scuola-lavoro).
See at: CNR ExploRA
2019
Other
Unknown
Un salto nel futuro, oggi nel presente: la Telemedicina
Pratali L., Martinelli M.
Presentazione sulla telemedicina al Corso di Medicina di Montagna - Rifugio Casati (SO).
Pratali L., Martinelli M.
Presentazione sulla telemedicina al Corso di Medicina di Montagna - Rifugio Casati (SO).
See at: CNR ExploRA
2019
Contribution to conference
Unknown
Correlazione tra sintomatologia da reflusso e impatto fisico-socio- emozionale ed economico nel cantante
Nacci A., Pagani R., Bastiani L., Martinelli M., Berrettini S., Fattori B.
Correlare in un gruppo di cantanti la sintomatologia indicativa di reflusso faringo-laringeo (LPR) valutata attraverso il Reflux Symptom Index (RSI) con l'impatto fisico-socio-emozionale ed economico dei disturbi vocali studiato tramite l'indice S-VHI.Source: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019
Nacci A., Pagani R., Bastiani L., Martinelli M., Berrettini S., Fattori B.
Correlare in un gruppo di cantanti la sintomatologia indicativa di reflusso faringo-laringeo (LPR) valutata attraverso il Reflux Symptom Index (RSI) con l'impatto fisico-socio-emozionale ed economico dei disturbi vocali studiato tramite l'indice S-VHI.Source: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019
See at: CNR ExploRA
2019
Contribution to conference
Unknown
Reti Deep in Ausilio alla Classificazione del Segnale Vocale
Martinelli M., Moroni D., Nacci A., Pagani R., Fattori B., Bastiani L.
Tavola rotonda sulle Nuove frontiere nell'analisi della voceSource: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019
Martinelli M., Moroni D., Nacci A., Pagani R., Fattori B., Bastiani L.
Tavola rotonda sulle Nuove frontiere nell'analisi della voceSource: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019
See at: CNR ExploRA
2019
Contribution to conference
Unknown
Nuove Frontiere nell'Analisi della Voce - Acquisizione e Classificazione dati
Nacci A., Pagani R., Fattori B., Bastiani L., Martinelli M.
Acquisizione e Classificazione datiSource: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019
Nacci A., Pagani R., Fattori B., Bastiani L., Martinelli M.
Acquisizione e Classificazione datiSource: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019
See at: CNR ExploRA
2019
Contribution to conference
Unknown
Stato dell'Arte nell'Analisi della Voce
Bastiani L., Nacci A., Pagani R., Fattori B., Martinelli M.
STATO DELL'ARTE NELL'ANALISI DELLA VOCESource: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019
Bastiani L., Nacci A., Pagani R., Fattori B., Martinelli M.
STATO DELL'ARTE NELL'ANALISI DELLA VOCESource: XXXVII Congresso Nazionale della Società Italiana di Audiologia e Foniatria (SIAF), Dipartimento di Ingegneria "Enzo Ferrari", Modena, 6-9/11/2019
See at: CNR ExploRA
2019
Conference article
Open Access
Towards a behavior analysis of remote-sensed vessels
Reggiannini M., Salerno E., Martinelli M., Righi M., Tampucci M., Bedini L.
This paper analyzes the potentialities to classify vessels detected through optical and synthetic-aperture radar (SAR) satellite-borne platforms and estimate their motion. For classification, the discriminative power of a set of geometric features extracted from segmented remote-sensed images is valuated by clustering data derived from a set of accurate footprints belonging to either tanker or cargo ships. The same procedure is repeated on a few dozens of real, remote-sensed optical images. Concerning velocity estimation, which in this context is based on the detection and analysis of the wake pattern generated by the ship motion, a discussion concerning the accuracy of the wake detection task is presented. In particular, since wake patterns are usually hard to detect, a method is proposed to enhance the wake signal-to-noise ratio, based on a dedicated pre-filtering stage. Results returned by the proposed method are compared with those obtained adopting a standard literature approach, eventually observing that the introduction of the prefiltering stage improves the wake detection accuracy. A maritime surveillance system based on a pipeline of the modules described here represents a useful tool to support the authorities in charge of monitoring maritime traffic with safety, security and law enforcement purposes.Source: 15th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 595–602, Sorrento, Napoli, Italy, 26-29/11/2019
DOI: 10.1109/sitis.2019.00100
Metrics:
Reggiannini M., Salerno E., Martinelli M., Righi M., Tampucci M., Bedini L.
This paper analyzes the potentialities to classify vessels detected through optical and synthetic-aperture radar (SAR) satellite-borne platforms and estimate their motion. For classification, the discriminative power of a set of geometric features extracted from segmented remote-sensed images is valuated by clustering data derived from a set of accurate footprints belonging to either tanker or cargo ships. The same procedure is repeated on a few dozens of real, remote-sensed optical images. Concerning velocity estimation, which in this context is based on the detection and analysis of the wake pattern generated by the ship motion, a discussion concerning the accuracy of the wake detection task is presented. In particular, since wake patterns are usually hard to detect, a method is proposed to enhance the wake signal-to-noise ratio, based on a dedicated pre-filtering stage. Results returned by the proposed method are compared with those obtained adopting a standard literature approach, eventually observing that the introduction of the prefiltering stage improves the wake detection accuracy. A maritime surveillance system based on a pipeline of the modules described here represents a useful tool to support the authorities in charge of monitoring maritime traffic with safety, security and law enforcement purposes.Source: 15th International Conference on Signal-Image Technology & Internet-Based Systems, pp. 595–602, Sorrento, Napoli, Italy, 26-29/11/2019
DOI: 10.1109/sitis.2019.00100
Metrics:
See at:
ISTI Repository | conferences.computer.org | doi.org | CNR ExploRA
2019
Other
Unknown
The LifeStyle of mountain-goers
Agazzi G, Pratali L., Mrakic Sposta S., Bastiani L, Valoti P., Carrara B, Parigi G. B., Malannino M., Spinelli A., Calderoli A., Orizio L., D'Angelo G., Giardini G., Martinelli M.
data collection progress Save the Mountains
Agazzi G, Pratali L., Mrakic Sposta S., Bastiani L, Valoti P., Carrara B, Parigi G. B., Malannino M., Spinelli A., Calderoli A., Orizio L., D'Angelo G., Giardini G., Martinelli M.
data collection progress Save the Mountains
See at: CNR ExploRA
2019
Report
Unknown
Studio Pilota per la valutazione delle qualità psicometriche dello screening I-RSI-revised
Bastiani L., Nacci A., Fattori B., Benassi A., Pardini F., Salvetti O., Moroni D., Martinelli M.
Il presente documento fornisce la descrizione dell'indagine per la valutazione delle qualità psicometriche dello screening I-RSI-revised, base per la specifica della piattaforma Web di supporto alla gestione della raccolta ed elaborazione dei dati. Il lavoro è frutto della collaborazione tra l'Unità Operativa Otorinolaringoiatria, Audiologia e Foniatria dell'Università di Pisa, dagli Istituti di Fisiologia Clinica e da quello di Scienza e Tecnologie dell'Informazione.Source: ISTI Technical reports, 2019
Bastiani L., Nacci A., Fattori B., Benassi A., Pardini F., Salvetti O., Moroni D., Martinelli M.
Il presente documento fornisce la descrizione dell'indagine per la valutazione delle qualità psicometriche dello screening I-RSI-revised, base per la specifica della piattaforma Web di supporto alla gestione della raccolta ed elaborazione dei dati. Il lavoro è frutto della collaborazione tra l'Unità Operativa Otorinolaringoiatria, Audiologia e Foniatria dell'Università di Pisa, dagli Istituti di Fisiologia Clinica e da quello di Scienza e Tecnologie dell'Informazione.Source: ISTI Technical reports, 2019
See at: CNR ExploRA
2019
Report
Unknown
Stato di avanzamento del Progetto RadioPoGe
Martinelli M., Paolicchi F., Pardini F., Moroni D., Salvadori S., Salvetti O., Caramella D., Bastiani L.
Il presente documento descrive lo stato di avanzamento del progetto "Conoscenza della popolazione sulla radioprotezione e sulla dose radiante delle principali procedure radiologiche" (RadioPoGe) al 20/12/2019Source: Project report, RadioPoGe, 2019
Martinelli M., Paolicchi F., Pardini F., Moroni D., Salvadori S., Salvetti O., Caramella D., Bastiani L.
Il presente documento descrive lo stato di avanzamento del progetto "Conoscenza della popolazione sulla radioprotezione e sulla dose radiante delle principali procedure radiologiche" (RadioPoGe) al 20/12/2019Source: Project report, RadioPoGe, 2019
See at: CNR ExploRA
2018
Report
Unknown
e-Rés@mont - Manuale di utilizzo del sistema di Teleconsulto e-Rés@mont
Martinelli M., Pratali L.
Il presente manuale descrive tutte le funzionalità del software "Teleconsulto - Servizio di Teleconsulto Medico Innovativo", sistema nato con lo scopo di supportare infermieri e medici nelle visite e teleconsulti medici nell'ambito del progetto Interreg Alcotra e-Rés@mont. Il sistema è stato ideato implementato dal CNR-ISTI in collaborazione con il personale medico di CNR-IFC sulla base dei requisiti definiti insieme all'Azienda USL della Val d'Aosta e Fondazione Montagna Sicura, partner italiani del progetto e-Rés@mont. In questo documento vengono descritti tutti i passaggi per la compilazione delle diverse sezioni del sistema, dalla login, all'inserimento dei dati anagrafici , alla visualizzazione degli score di rischio e suggerimenti, fino alla conferma infermieristica. Vine inoltre descritta la Videoconferenza e la chat realizzata ad-hoc.Source: Project report, e-Rés@mont, 2018
Martinelli M., Pratali L.
Il presente manuale descrive tutte le funzionalità del software "Teleconsulto - Servizio di Teleconsulto Medico Innovativo", sistema nato con lo scopo di supportare infermieri e medici nelle visite e teleconsulti medici nell'ambito del progetto Interreg Alcotra e-Rés@mont. Il sistema è stato ideato implementato dal CNR-ISTI in collaborazione con il personale medico di CNR-IFC sulla base dei requisiti definiti insieme all'Azienda USL della Val d'Aosta e Fondazione Montagna Sicura, partner italiani del progetto e-Rés@mont. In questo documento vengono descritti tutti i passaggi per la compilazione delle diverse sezioni del sistema, dalla login, all'inserimento dei dati anagrafici , alla visualizzazione degli score di rischio e suggerimenti, fino alla conferma infermieristica. Vine inoltre descritta la Videoconferenza e la chat realizzata ad-hoc.Source: Project report, e-Rés@mont, 2018
See at: CNR ExploRA
2018
Report
Unknown
e-Rés@mont - Rapporto finale di avanzamento del Progetto programma Alcotra
Tonetti R., Giardini G., Pratali L., Martinelli M., Pasini E., Castiglion A.
Gli obiettivi principali di questo documento sono di: - permettere il monitoraggio e l'accompagnamento del progetto da parte del programma; - verificare se il progetto progredisce in coerenza con quanto previsto (risultati, piano di lavoro, budget, comunicazione); - verificare la qualità delle realizzazioni e dei risultati del progetto e verificare la concreta cooperazione tra i beneficiari (coinvolgimento dei partner); - verificare il coinvolgimento degli stakeholders e dei gruppi target; - fornire informazioni relative alla comunicazione e pubblicità del progetto, utili per la comunicazione a livello di programma.Source: Project report, e-Rés@mont, 2018
Tonetti R., Giardini G., Pratali L., Martinelli M., Pasini E., Castiglion A.
Gli obiettivi principali di questo documento sono di: - permettere il monitoraggio e l'accompagnamento del progetto da parte del programma; - verificare se il progetto progredisce in coerenza con quanto previsto (risultati, piano di lavoro, budget, comunicazione); - verificare la qualità delle realizzazioni e dei risultati del progetto e verificare la concreta cooperazione tra i beneficiari (coinvolgimento dei partner); - verificare il coinvolgimento degli stakeholders e dei gruppi target; - fornire informazioni relative alla comunicazione e pubblicità del progetto, utili per la comunicazione a livello di programma.Source: Project report, e-Rés@mont, 2018
See at: CNR ExploRA
2018
Report
Unknown
A prototype of a wearable, wireless system for measuring leg strength
Magrini M., Righi M., Carboni A., Martinelli M., Pardini F.
This technical report describes the R&D activity regarding the realization of a prototype of a wearable wireless device which records the characteristics of body movements. The device is connected via Bluetooth to a smartphone, able to display the acceleration curves and send the recorded data to a server for storage, further processing and analysis.Source: ISTI Technical reports, 2018
Magrini M., Righi M., Carboni A., Martinelli M., Pardini F.
This technical report describes the R&D activity regarding the realization of a prototype of a wearable wireless device which records the characteristics of body movements. The device is connected via Bluetooth to a smartphone, able to display the acceleration curves and send the recorded data to a server for storage, further processing and analysis.Source: ISTI Technical reports, 2018
See at: CNR ExploRA
2018
Report
Unknown
Intelligent approaches to fitness and well-being guidance
Martinelli M., Carboni A., Magrini M., Benassi A., Salvetti O.
The purpose of this research is to offer a complete picture on the use of assistive technologies in general, artificial intelligence and machine learning methods, for the determination of behaviors and decisions aimed at optimizing the analysis of the physical performance of the athlete. The solutions discussed can be merged to implement a system able to propose, automatically and dynamically, training plans linked to the physical and psychological conditions of the athletes. However, the treatment is also addressed to a possible application to different person categories, such as people performing normal physical activities, the elderly, disabled and ore in general people suffering from psycho-motor and muscular pathologies with the aim of improving skeletal muscle physio aspects.Source: Project report, 2018
Martinelli M., Carboni A., Magrini M., Benassi A., Salvetti O.
The purpose of this research is to offer a complete picture on the use of assistive technologies in general, artificial intelligence and machine learning methods, for the determination of behaviors and decisions aimed at optimizing the analysis of the physical performance of the athlete. The solutions discussed can be merged to implement a system able to propose, automatically and dynamically, training plans linked to the physical and psychological conditions of the athletes. However, the treatment is also addressed to a possible application to different person categories, such as people performing normal physical activities, the elderly, disabled and ore in general people suffering from psycho-motor and muscular pathologies with the aim of improving skeletal muscle physio aspects.Source: Project report, 2018
See at: CNR ExploRA
2018
Report
Unknown
SCIADRO - A deep learning approach to power line components recognition
Martinelli M., Moroni D.
The purpose of this research is to describe the first fully working prototype able to recognize power line components.Source: Project report, SCIADRO, 2018
Martinelli M., Moroni D.
The purpose of this research is to describe the first fully working prototype able to recognize power line components.Source: Project report, SCIADRO, 2018
See at: CNR ExploRA
2018
Other
Unknown
Tecnologie innovative per la telemedicina
Martinelli M.
Seminario sulle tecnologie impiegate nel progetto di telemedicina e-Rés@mont.
Martinelli M.
Seminario sulle tecnologie impiegate nel progetto di telemedicina e-Rés@mont.
See at: CNR ExploRA
2018
Other
Open Access
Ottenere l'elenco delle pubblicazioni CNR con 'stile'
Martinelli M., Tampucci M.
Il presente report descrive la procedura progettata e sviluppata al fine di produrre un elenco di pubblicazioni a partire dai dati estratti dal sistema PEOPLE in conformità a quanto richiesto dai bandi di concorso CNR.
Martinelli M., Tampucci M.
Il presente report descrive la procedura progettata e sviluppata al fine di produrre un elenco di pubblicazioni a partire dai dati estratti dal sistema PEOPLE in conformità a quanto richiesto dai bandi di concorso CNR.
See at:
ISTI Repository | CNR ExploRA
2018
Other
Unknown
Un sistema Web per valutare la conoscenza della popolazione sulla radioprotezione e sulla dose radiante delle principali procedure radiologiche
Martinelli M.
Presentazione del laboratorio Segnali e Immagini e di un sistema Web per comprendere la conoscenza della popolazione sulla radioprotezione e sulla dose radiante delle principali procedure radiologiche realizzato nell'ambito della collaborazione CNR-ISTI e Radiologia Diagnostica e Interventistica.
Martinelli M.
Presentazione del laboratorio Segnali e Immagini e di un sistema Web per comprendere la conoscenza della popolazione sulla radioprotezione e sulla dose radiante delle principali procedure radiologiche realizzato nell'ambito della collaborazione CNR-ISTI e Radiologia Diagnostica e Interventistica.
See at: CNR ExploRA
2018
Report
Unknown
Studio Pink - Struttura del database per la raccolta dati
Pieroni S., Franchini M., Tampucci M., Martinelli M., Denoth F., Colantonio S., Molinaro S.
Il documento fornisce la specifica del database relazionale alla base della piattaforma web di supporto alla gestione, alla archiviazione digitale e alle elaborazioni statistiche dei dati dello studio PINK Prevention Imaging Network & Knowledge.Source: ISTI Technical reports, 2018
Pieroni S., Franchini M., Tampucci M., Martinelli M., Denoth F., Colantonio S., Molinaro S.
Il documento fornisce la specifica del database relazionale alla base della piattaforma web di supporto alla gestione, alla archiviazione digitale e alle elaborazioni statistiche dei dati dello studio PINK Prevention Imaging Network & Knowledge.Source: ISTI Technical reports, 2018
See at: CNR ExploRA
2018
Report
Unknown
OSIRIS Ground Truth DataBase
Martinelli M., Tampucci M.
This is the manual to install and configure the OSIRIS Ground Truth Database (GTDB) and related microservices.Source: Project report, OSIRIS, 2018
Martinelli M., Tampucci M.
This is the manual to install and configure the OSIRIS Ground Truth Database (GTDB) and related microservices.Source: Project report, OSIRIS, 2018
See at: CNR ExploRA
2018
Report
Unknown
Deep learning
Martinelli M.
Introduzione di base al deep learning e applicazioni realizzate.Source: ISTI Technical reports, 2018
Martinelli M.
Introduzione di base al deep learning e applicazioni realizzate.Source: ISTI Technical reports, 2018
See at: CNR ExploRA
2018
Conference article
Open Access
Deep learning approach to human osteosarcoma cell detection and classification
D'Acunto M., Martinelli M., Moroni D.
The early diagnosis of a cancer type is a fundamental goal in cancer treatment, as it can facilitate the subsequent clinical management of patients. The leading importance of classifying cancer patients into high or low risk groups has led many research teams, both from biomedical and bioinformatics field, to study the application of Deep Learning (DL) methods. The ability of DL tools to detect key features from complex datasets is a fundamental achievement in early diagnosis and cell cancer progression. In this paper, we apply DL approach to classification of osteosarcoma cells. Osteosarcoma is the most common bone cancer occurring prevalently in children or young adults. Glass slides of different cell populations were cultured from Mesenchimal Stromal Cells (MSCs) and differentiated in healthy bone cells (osteoblasts) or osteosarcoma cells. Images of such samples are recorded with an optical microscope. DL is then applied to identify and classify single cells. The results show a classification accuracy of 0.97. The next step is the application of our DL approach to tissue in order to improve digital histopathology.Source: International Conference on Multimedia and Network Information System - MISSI 2018, pp. 353–361, Wroclaw, Poland, 12-14 September
DOI: 10.1007/978-3-319-98678-4_36
Metrics:
D'Acunto M., Martinelli M., Moroni D.
The early diagnosis of a cancer type is a fundamental goal in cancer treatment, as it can facilitate the subsequent clinical management of patients. The leading importance of classifying cancer patients into high or low risk groups has led many research teams, both from biomedical and bioinformatics field, to study the application of Deep Learning (DL) methods. The ability of DL tools to detect key features from complex datasets is a fundamental achievement in early diagnosis and cell cancer progression. In this paper, we apply DL approach to classification of osteosarcoma cells. Osteosarcoma is the most common bone cancer occurring prevalently in children or young adults. Glass slides of different cell populations were cultured from Mesenchimal Stromal Cells (MSCs) and differentiated in healthy bone cells (osteoblasts) or osteosarcoma cells. Images of such samples are recorded with an optical microscope. DL is then applied to identify and classify single cells. The results show a classification accuracy of 0.97. The next step is the application of our DL approach to tissue in order to improve digital histopathology.Source: International Conference on Multimedia and Network Information System - MISSI 2018, pp. 353–361, Wroclaw, Poland, 12-14 September
DOI: 10.1007/978-3-319-98678-4_36
Metrics:
See at:
ISTI Repository | ISTI Repository | doi.org | link.springer.com | CNR ExploRA
2018
Conference article
Open Access
Remote Sensing for Maritime Monitoring and Vessel Prompt Identification
Reggiannini M., Righi M., Tampucci M., Bedini L., Di Paola C., Martinelli M., Mercurio C., Salerno E.
The main purpose of the work described in this paper concerns the development of a platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Radar or Optical maps captured by satellite-borne sensors. More in detail, the processing chain is dedicated to (i) the detection of vessel targets in the input map, (ii) the refined estimation of the vessel most descriptive geometrical features and, finally, (iii) the estimation of the kinematic status of the vessel. This platform will represent a new tool for combating unauthorized fishing, irregular migration and related smuggling activities.Source: International Conference on Multimedia and Network Information System - MISSI 2018, pp. 343–352, Wroclaw, Poland, 11/9/2018.14/11/2018
DOI: 10.1007/978-3-319-98678-4_35
Metrics:
Reggiannini M., Righi M., Tampucci M., Bedini L., Di Paola C., Martinelli M., Mercurio C., Salerno E.
The main purpose of the work described in this paper concerns the development of a platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Radar or Optical maps captured by satellite-borne sensors. More in detail, the processing chain is dedicated to (i) the detection of vessel targets in the input map, (ii) the refined estimation of the vessel most descriptive geometrical features and, finally, (iii) the estimation of the kinematic status of the vessel. This platform will represent a new tool for combating unauthorized fishing, irregular migration and related smuggling activities.Source: International Conference on Multimedia and Network Information System - MISSI 2018, pp. 343–352, Wroclaw, Poland, 11/9/2018.14/11/2018
DOI: 10.1007/978-3-319-98678-4_35
Metrics:
See at:
ISTI Repository | doi.org | link.springer.com | CNR ExploRA
2018
Conference article
Open Access
To identify hot spots in power lines using infrared and visible sensors
Jalil B., Pascali M. A., Leone G. R, Martinelli M., Moroni D., Salvetti O.
The detection of power transmission lines is highly important for threat avoidance, especially when aerial vehicle fly at low altitude. At the same time, the demand for fast and robust algorithms for the analysis of data acquired by drones during inspections has also increased. In this paper, different methods to obtain these objectives are presented, which include three parts: sensor fusion, power line extraction and fault detection. At first, fusion algorithm for visible and infrared power line images is presented. Manual control points describe as feature points from both images were selected and then, applied geometric transformation model to register visible and infrared thermal images. For the extraction of power lines, we applied Canny edge detection to identify significant transition followed by Hough transform to highlight power lines. The method significantly identify edges from the set of frames with good accuracy. After the detection of lines, we applied histogram based thresholding to identify hot spots in power lines. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: MISSI 2018 - International Conference on Multimedia and Network Information System, pp. 313–321, Wroclaw, Poland, 11-14 September 2018
DOI: 10.1007/978-3-319-98678-4_32
Metrics:
Jalil B., Pascali M. A., Leone G. R, Martinelli M., Moroni D., Salvetti O.
The detection of power transmission lines is highly important for threat avoidance, especially when aerial vehicle fly at low altitude. At the same time, the demand for fast and robust algorithms for the analysis of data acquired by drones during inspections has also increased. In this paper, different methods to obtain these objectives are presented, which include three parts: sensor fusion, power line extraction and fault detection. At first, fusion algorithm for visible and infrared power line images is presented. Manual control points describe as feature points from both images were selected and then, applied geometric transformation model to register visible and infrared thermal images. For the extraction of power lines, we applied Canny edge detection to identify significant transition followed by Hough transform to highlight power lines. The method significantly identify edges from the set of frames with good accuracy. After the detection of lines, we applied histogram based thresholding to identify hot spots in power lines. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: MISSI 2018 - International Conference on Multimedia and Network Information System, pp. 313–321, Wroclaw, Poland, 11-14 September 2018
DOI: 10.1007/978-3-319-98678-4_32
Metrics:
See at:
ISTI Repository | ISTI Repository | doi.org | link.springer.com | CNR ExploRA
2018
Conference article
Open Access
Multimodal image analysis for power line inspection
Jalil B., Leone G. R., Martinelli M., Moroni D., Pascali M. A., Salvetti O.
he use of Unmanned Aerial Vehicles (UAVs) for environmental and industrial monitoring is constantly growing. At the same time, the demand for fast and robust algorithms for the analysis of the data acquired by drones during the inspections has increased. In this paper we provide a concise survey about a peculiar case study: the monitoring of the high-voltage power grid which includes: (i) the detection of the power lines and of the electric towers along with their components more subject to wear and tear; (ii) the diagnosis of maintenance status. In this work different algorithms from image processing are applied to visible and infrared thermal data, to track the power lines and to detect faults and anomalies. We applied Canny edge detection to identify significant transition followed by Hough transform to highlight power lines. The method significantly identify edges from the set of frames with good accuracy. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: ICPRAI 2018 - International Conference on Pattern Recognition and Artificial Intelligence, pp. 592–596, Montreal, Canada, 14-17 May 2018
Jalil B., Leone G. R., Martinelli M., Moroni D., Pascali M. A., Salvetti O.
he use of Unmanned Aerial Vehicles (UAVs) for environmental and industrial monitoring is constantly growing. At the same time, the demand for fast and robust algorithms for the analysis of the data acquired by drones during the inspections has increased. In this paper we provide a concise survey about a peculiar case study: the monitoring of the high-voltage power grid which includes: (i) the detection of the power lines and of the electric towers along with their components more subject to wear and tear; (ii) the diagnosis of maintenance status. In this work different algorithms from image processing are applied to visible and infrared thermal data, to track the power lines and to detect faults and anomalies. We applied Canny edge detection to identify significant transition followed by Hough transform to highlight power lines. The method significantly identify edges from the set of frames with good accuracy. The paper concludes with the description of the current work, which has been carried out in a research project, namely SCIADRO.Source: ICPRAI 2018 - International Conference on Pattern Recognition and Artificial Intelligence, pp. 592–596, Montreal, Canada, 14-17 May 2018
See at:
ISTI Repository | users.encs.concordia.ca | CNR ExploRA
2018
Journal article
Open Access
Volunteered geographic information for enhanced marine environment monitoring
Martinelli M., Moroni D.
The ability to detect and monitor oil spills at sea is becoming increasingly important due to the high demand of oil-based products. Remote sensing frameworks have been proven to give accurate results in case of major events; nonetheless, also medium and micro oil spills have their own importance, especially in protected areas that deserve special attention. In this paper, we propose a monitoring framework based on the collection of in situ observations and on their integration with remote sensing in order to fill out existing observational gaps. In particular, besides the data collected by special monitoring devices, in situ observations include volunteered geographical information as an additional source of valuable data. Oil spill sights, notified by volunteers through a specially-designed app, are integrated in the monitoring system and therein processed together with remote sensing data in order to proactively detect anomalous events and produce alerts. Field operational tests in two areas demonstrate the technical validity of the approach, while users' reception testifies to its potential in raising people's awareness on marine pollution.Source: Applied sciences 8 (2018). doi:10.3390/app8101743
DOI: 10.3390/app8101743
Project(s): ARGOMARINE
Metrics:
Martinelli M., Moroni D.
The ability to detect and monitor oil spills at sea is becoming increasingly important due to the high demand of oil-based products. Remote sensing frameworks have been proven to give accurate results in case of major events; nonetheless, also medium and micro oil spills have their own importance, especially in protected areas that deserve special attention. In this paper, we propose a monitoring framework based on the collection of in situ observations and on their integration with remote sensing in order to fill out existing observational gaps. In particular, besides the data collected by special monitoring devices, in situ observations include volunteered geographical information as an additional source of valuable data. Oil spill sights, notified by volunteers through a specially-designed app, are integrated in the monitoring system and therein processed together with remote sensing data in order to proactively detect anomalous events and produce alerts. Field operational tests in two areas demonstrate the technical validity of the approach, while users' reception testifies to its potential in raising people's awareness on marine pollution.Source: Applied sciences 8 (2018). doi:10.3390/app8101743
DOI: 10.3390/app8101743
Project(s): ARGOMARINE
Metrics:
See at:
Applied Sciences | ISTI Repository | Applied Sciences | Applied Sciences | ZENODO | Hyper Article en Ligne | CNR ExploRA
2018
Contribution to conference
Open Access
Telemedicina in Valle d'Aosta: il progetto e-Res@mont
Martinelli M., Pratali L., Giardini G., La Monica D., Bastiani L., Fosson J. P., Bonin S., Cugnetto M., Fiorini A., Pernechele N., Ranfone M., Collin N., Tonetti R., Caligiana L., De La Pierre F., Stella M., Salvetti O., Moroni D.
Scopo: Nell'ambito del progetto e-Rés@mont (Interreg Alcotra) è stato sviluppato un sistema di teleconsulto per migliorare l'assistenza sanitaria per turisti e residenti in montagna. Metodi: In 5 rifugi della Valle d'Aosta e presso 2 distretti sanitari (1533 - 3500 metri) 5 infermieri formati erano disponibili per valutare pazienti tramite raccolta della storia clinica e di parametri fisiologici, elettrocardiogramma, ecografia. Il sistema forniva un sistema di video-conferenza realizzato ad-hoc e permetteva, tramite tablet dotato di connessione mobile, di registrare e inviare le informazioni a un medico all'ospedale di Aosta. In caso di connessione non disponibile, un sistema di supporto alle decisioni forniva all'infermiere score di rischio per valutare la gravità e decidere di chiamare il sistema di emergenza. Tutti i dati registrati e salvati localmente alla riconnessione venivano inviati all'ospedale. Il sistema permetteva anche la valutazione automatica del male acuto di alta quota in base al Lake Louise Score. Risultati: Nel periodo estivo e invernale del 2017 sono stati effettuati 702 teleconsulti. Il 100% dei casi è stato correttamente ricevuto in ospedale e nei casi necessari è stata effettuata anche una valutazione specialistica. Il tempo medio di diagnosi è stato di 32 minuti: 333 codici bianchi, 356 gialli, 13 rossi; in 12 casi questo sistema ha evitato inappropriati interventi di soccorso in elicottero. Conclusioni: Il teleconsulto e-Res@mont è stato efficace nei trattamenti di emergenza, soprattutto per la riduzione dei tempi di valutazione in aree remote. Ulteriori studi sono necessari per valutare l'impatto sulla spesa sanitaria e sulle lista di attesa.Source: XX Convegno Società Italiana di Medicina di Montagna, Bergamo, 13 October 2018
Martinelli M., Pratali L., Giardini G., La Monica D., Bastiani L., Fosson J. P., Bonin S., Cugnetto M., Fiorini A., Pernechele N., Ranfone M., Collin N., Tonetti R., Caligiana L., De La Pierre F., Stella M., Salvetti O., Moroni D.
Scopo: Nell'ambito del progetto e-Rés@mont (Interreg Alcotra) è stato sviluppato un sistema di teleconsulto per migliorare l'assistenza sanitaria per turisti e residenti in montagna. Metodi: In 5 rifugi della Valle d'Aosta e presso 2 distretti sanitari (1533 - 3500 metri) 5 infermieri formati erano disponibili per valutare pazienti tramite raccolta della storia clinica e di parametri fisiologici, elettrocardiogramma, ecografia. Il sistema forniva un sistema di video-conferenza realizzato ad-hoc e permetteva, tramite tablet dotato di connessione mobile, di registrare e inviare le informazioni a un medico all'ospedale di Aosta. In caso di connessione non disponibile, un sistema di supporto alle decisioni forniva all'infermiere score di rischio per valutare la gravità e decidere di chiamare il sistema di emergenza. Tutti i dati registrati e salvati localmente alla riconnessione venivano inviati all'ospedale. Il sistema permetteva anche la valutazione automatica del male acuto di alta quota in base al Lake Louise Score. Risultati: Nel periodo estivo e invernale del 2017 sono stati effettuati 702 teleconsulti. Il 100% dei casi è stato correttamente ricevuto in ospedale e nei casi necessari è stata effettuata anche una valutazione specialistica. Il tempo medio di diagnosi è stato di 32 minuti: 333 codici bianchi, 356 gialli, 13 rossi; in 12 casi questo sistema ha evitato inappropriati interventi di soccorso in elicottero. Conclusioni: Il teleconsulto e-Res@mont è stato efficace nei trattamenti di emergenza, soprattutto per la riduzione dei tempi di valutazione in aree remote. Ulteriori studi sono necessari per valutare l'impatto sulla spesa sanitaria e sulle lista di attesa.Source: XX Convegno Società Italiana di Medicina di Montagna, Bergamo, 13 October 2018
See at:
ISTI Repository | CNR ExploRA
2018
Contribution to conference
Restricted
Teleconsultation in the mountains: the role of nurses expert in mountain medicine
Bonin S., Giardini G., Cugnetto M., Pernechele N., Ranfone M., Fiorini A., Collin N., Martinelli M., Pratali L.
From June 2017 to March 2018 five trained nurses were involved in the é- Res@mont project to develop a new model of teleconsultation in remote mountain area. Nurses were trained in emergency setting and mountain medicine before starting the activity. The tele-consultation took place in five remote locations between 1.500 and 3.500 m, connected to the doctor through a telematic platform. Communication took place by data transmission, images or via videoconferen-ce. Doctors and nurses choose the validated scales readjusted according to the altitude, defi- ned tools, drugs and identified a protocol to follow in case of connection lacking. On the basis of symptoms patients were submitted to clinical evaluation (i.e. vital parameters, pulse oximetry, BMI, Lake Louise Score questionnaire); moreover an 12 lead ECG and lung echo could be performed. Based on the data received, the doctor made diagnosis and gave instructions to the nurse who provided the care. The activity was carried out for 7 months, with 702 visits (male 61%; averageage 49±17 yrs). The mean value for vital parameters were different according to altitude. The most treated pathologies were AMS 8,0%, Headache 4,0%, minor trauma 2,3%, and gastrointestinal disorders 1,3%. In 30 cases the use of emergency rescue was avoided, specifically in 31% of cases the use of helycopter rescue. The average time of response to the nurse call was 20 minutes. Trained nurses in mountain medicine and telemedicine are crucial: they are link between patients and doctors in the management of critical situation in mountain environment.Source: XX Convegno Società Italiana di Medicina di Montagna, Bergamo, 13/10/2018
Bonin S., Giardini G., Cugnetto M., Pernechele N., Ranfone M., Fiorini A., Collin N., Martinelli M., Pratali L.
From June 2017 to March 2018 five trained nurses were involved in the é- Res@mont project to develop a new model of teleconsultation in remote mountain area. Nurses were trained in emergency setting and mountain medicine before starting the activity. The tele-consultation took place in five remote locations between 1.500 and 3.500 m, connected to the doctor through a telematic platform. Communication took place by data transmission, images or via videoconferen-ce. Doctors and nurses choose the validated scales readjusted according to the altitude, defi- ned tools, drugs and identified a protocol to follow in case of connection lacking. On the basis of symptoms patients were submitted to clinical evaluation (i.e. vital parameters, pulse oximetry, BMI, Lake Louise Score questionnaire); moreover an 12 lead ECG and lung echo could be performed. Based on the data received, the doctor made diagnosis and gave instructions to the nurse who provided the care. The activity was carried out for 7 months, with 702 visits (male 61%; averageage 49±17 yrs). The mean value for vital parameters were different according to altitude. The most treated pathologies were AMS 8,0%, Headache 4,0%, minor trauma 2,3%, and gastrointestinal disorders 1,3%. In 30 cases the use of emergency rescue was avoided, specifically in 31% of cases the use of helycopter rescue. The average time of response to the nurse call was 20 minutes. Trained nurses in mountain medicine and telemedicine are crucial: they are link between patients and doctors in the management of critical situation in mountain environment.Source: XX Convegno Società Italiana di Medicina di Montagna, Bergamo, 13/10/2018
See at:
www.societaitalianamedicinadimontagna.it | CNR ExploRA
2018
Other
Open Access
See at:
ISTI Repository | CNR ExploRA
2018
Other
Open Access
Ultrageo
Righi M., Leone G. R., Magrini M., Martinelli M., Moroni D., Della Pina F., Guidi R.
Questo documento descrive il lavoro scientifico di ricerca e il suo sviluppo denominato "UltraGEO". UltraGEO e? il cuore di un'idea nata dal Laboratorio Segnali e Immagini (SILab) dell'Istituto di Scienza e Tecnologie dell'Informazione del Consiglio Nazionale delle Ricerche con sede a Pisa e dal Comune di Massa. UltraGEO si propone come un nuovo sistema per il controllo degli smottamenti del terreno e delle frane. Per la misura degli smottamenti questo progetto di R&D prevede la realizzazione di un prototipo costituito da una rete di nodi attivi e passivi. I nodi sono adattivi in base alle caratteristiche dell'ambiente dove sono inseriti: basati su marker grafici (nodi passivi) oppure basati su marker con basse emissioni di segnali elettromagnetici e/o acustici (nodi attivi). UltraGEO e? progettato per essere modulare e utilizzabile in zone difficilmente accessibili, anche dove non vi e? nessuna sorgente di energia elettrica e non e? possibile dotare il nodo di batterie e pannelli solari. UltraGEO ha caratteristiche che vertono alla semplificazione dell'installazione dei sensori rispetto alle attuali tecnologie, riducendone i costi e semplificandone l'utilizzo nel breve e lungo periodo.DOI: 10.5281/zenodo.1492760
Metrics:
Righi M., Leone G. R., Magrini M., Martinelli M., Moroni D., Della Pina F., Guidi R.
Questo documento descrive il lavoro scientifico di ricerca e il suo sviluppo denominato "UltraGEO". UltraGEO e? il cuore di un'idea nata dal Laboratorio Segnali e Immagini (SILab) dell'Istituto di Scienza e Tecnologie dell'Informazione del Consiglio Nazionale delle Ricerche con sede a Pisa e dal Comune di Massa. UltraGEO si propone come un nuovo sistema per il controllo degli smottamenti del terreno e delle frane. Per la misura degli smottamenti questo progetto di R&D prevede la realizzazione di un prototipo costituito da una rete di nodi attivi e passivi. I nodi sono adattivi in base alle caratteristiche dell'ambiente dove sono inseriti: basati su marker grafici (nodi passivi) oppure basati su marker con basse emissioni di segnali elettromagnetici e/o acustici (nodi attivi). UltraGEO e? progettato per essere modulare e utilizzabile in zone difficilmente accessibili, anche dove non vi e? nessuna sorgente di energia elettrica e non e? possibile dotare il nodo di batterie e pannelli solari. UltraGEO ha caratteristiche che vertono alla semplificazione dell'installazione dei sensori rispetto alle attuali tecnologie, riducendone i costi e semplificandone l'utilizzo nel breve e lungo periodo.DOI: 10.5281/zenodo.1492760
Metrics:
See at:
ISTI Repository | CNR ExploRA
2018
Contribution to journal
Open Access
Teleconsultation in the mountains: the role of nurses expert in mountain medicine
Cugnetto M., Bonin S., Giardini G., Collin N., Fiorini L. A., Pernechele N., Ranfone M., Martinelli M., Pratali L.
Introduction and Aim: From June 2017 to March 2018, five trained nurses were involved in the e-Res@mont project to develop a new model of teleconsultation in a remote area. Methods: Nurses were trained in emergency setting and mountain medicine before starting the activity. The tele-consultation took place in five remote locations between 1500 and 3500 m, connected to the doctor through a telematic platform. Communication took place by data transmission, images, or through videoconference. Doctors and nurses chose the validated scales readjusted according to the altitude, defined tools, drugs, and identified a protocol to follow in case of lack of connection. On the basis of symptoms, patients were subjected to clinical evaluation (i.e., vital parameters, pulse oximetry, body mass index, and Lake Louise Score questionnaire); moreover a 12-lead electrocardiogram and lung echo could be performed. Based on the data received, the doctor made diagnosis and gave instructions to the nurse who provided the care. Results: The activity was carried out for 7 months, with 702 visits (male 61%; average age 49 - 17 years). The mean value for vital parameters was different according to altitude. The most treated pathologies were acute mountain sickness 8.0%, headache 4.0%, minor trauma 2.3%, and gastrointestinal disorders 1.3%. In 30 cases, the use of emergency rescue was avoided, specifically in 31% of cases the use of helicopter rescue. The average time of response to the nurse call was 20 minutes. Conclusions: Trained nurses in mountain medicine and telemedicine are crucial: they are link between patients and doctors in the management of critical situation in a mountain environment.Source: High altitude medicine & biology 19 (2018): 32–32. doi:10.1089/ham.2018.29015.abstracts
DOI: 10.1089/ham.2018.29015.abstracts
Metrics:
Cugnetto M., Bonin S., Giardini G., Collin N., Fiorini L. A., Pernechele N., Ranfone M., Martinelli M., Pratali L.
Introduction and Aim: From June 2017 to March 2018, five trained nurses were involved in the e-Res@mont project to develop a new model of teleconsultation in a remote area. Methods: Nurses were trained in emergency setting and mountain medicine before starting the activity. The tele-consultation took place in five remote locations between 1500 and 3500 m, connected to the doctor through a telematic platform. Communication took place by data transmission, images, or through videoconference. Doctors and nurses chose the validated scales readjusted according to the altitude, defined tools, drugs, and identified a protocol to follow in case of lack of connection. On the basis of symptoms, patients were subjected to clinical evaluation (i.e., vital parameters, pulse oximetry, body mass index, and Lake Louise Score questionnaire); moreover a 12-lead electrocardiogram and lung echo could be performed. Based on the data received, the doctor made diagnosis and gave instructions to the nurse who provided the care. Results: The activity was carried out for 7 months, with 702 visits (male 61%; average age 49 - 17 years). The mean value for vital parameters was different according to altitude. The most treated pathologies were acute mountain sickness 8.0%, headache 4.0%, minor trauma 2.3%, and gastrointestinal disorders 1.3%. In 30 cases, the use of emergency rescue was avoided, specifically in 31% of cases the use of helicopter rescue. The average time of response to the nurse call was 20 minutes. Conclusions: Trained nurses in mountain medicine and telemedicine are crucial: they are link between patients and doctors in the management of critical situation in a mountain environment.Source: High altitude medicine & biology 19 (2018): 32–32. doi:10.1089/ham.2018.29015.abstracts
DOI: 10.1089/ham.2018.29015.abstracts
Metrics:
See at:
ISTI Repository | CNR ExploRA
2018
Contribution to journal
Open Access
Cross-sectional and prospective study of the association between lifestyle, individual risk factors, and acute mountain sickness
Bastiani L., Marrucci E., Martinelli M., Fortunato L., Bonin S., Cugnetto M., Pernechele N., Ranfone M., Fiorini A., Collin N., Giardini G., Molinaro S., Pratali L.
In recent years, there has been an increase in the attendance of people at high altitudes for both tourism and work, so high-altitude diseases represent a non-negligible public health problem. This research examined cross-sectional and prospective associations of lifestyle, individual risk factors, and acute mountain sickness (AMS) in a community-based sample recruited in the cross-border area (Switzerland, Italy, and France Alps). Questionnaires were administered in the five mountain locations in Aosta Valley between 1500 and 3500 m. Data were analyzed from 1002 subjects (males 68.7%, females 31.3%; mean age 42 ± 14 years) in a cross-sectional study (session T0) and from 1112 interviews in a longitudinal study on three consecutive days (session T1-T2-T3), n = 631 in T1, n = 300 in T2, and n = 181 in T3. According to Lake Louise Score self-reported, at session T0, 35.9% of the subjects were classified as mild AMS and 17.5% as moderate-severe AMS. Among the subjects enrolled in the prospective study, 36.5% were classified as mild or moderate/severe AMS in at least one of the 3 days. Predisposing factors to AMS detected in the prospective study were gender (male; odds ratio [OR] = 1.4, confidence interval [CI]: 2.9-11.7; p = 0.001), history of strenuous physical activity (>3 times per week) (OR = 3.1, CI: 2.1-8.7; p = 0.001), smoking >5 cigarettes per day (OR = 2.4, CI: 2.0-6.5; p = 0.001), difficulty sleeping (<=6 hours), and previous AMS episode (OR = 1.4, CI: 1.2-1.6; p = 0.001). Life style could increase AMS risk. Further studies are needed to investigate whether interventions in life style behavior can modify the impact in high-altitude diseases.Source: High altitude medicine & biology 19 (2018): 444–444. doi:10.1089/ham.2018.29015.abstracts
DOI: 10.1089/ham.2018.29015.abstracts
Metrics:
Bastiani L., Marrucci E., Martinelli M., Fortunato L., Bonin S., Cugnetto M., Pernechele N., Ranfone M., Fiorini A., Collin N., Giardini G., Molinaro S., Pratali L.
In recent years, there has been an increase in the attendance of people at high altitudes for both tourism and work, so high-altitude diseases represent a non-negligible public health problem. This research examined cross-sectional and prospective associations of lifestyle, individual risk factors, and acute mountain sickness (AMS) in a community-based sample recruited in the cross-border area (Switzerland, Italy, and France Alps). Questionnaires were administered in the five mountain locations in Aosta Valley between 1500 and 3500 m. Data were analyzed from 1002 subjects (males 68.7%, females 31.3%; mean age 42 ± 14 years) in a cross-sectional study (session T0) and from 1112 interviews in a longitudinal study on three consecutive days (session T1-T2-T3), n = 631 in T1, n = 300 in T2, and n = 181 in T3. According to Lake Louise Score self-reported, at session T0, 35.9% of the subjects were classified as mild AMS and 17.5% as moderate-severe AMS. Among the subjects enrolled in the prospective study, 36.5% were classified as mild or moderate/severe AMS in at least one of the 3 days. Predisposing factors to AMS detected in the prospective study were gender (male; odds ratio [OR] = 1.4, confidence interval [CI]: 2.9-11.7; p = 0.001), history of strenuous physical activity (>3 times per week) (OR = 3.1, CI: 2.1-8.7; p = 0.001), smoking >5 cigarettes per day (OR = 2.4, CI: 2.0-6.5; p = 0.001), difficulty sleeping (<=6 hours), and previous AMS episode (OR = 1.4, CI: 1.2-1.6; p = 0.001). Life style could increase AMS risk. Further studies are needed to investigate whether interventions in life style behavior can modify the impact in high-altitude diseases.Source: High altitude medicine & biology 19 (2018): 444–444. doi:10.1089/ham.2018.29015.abstracts
DOI: 10.1089/ham.2018.29015.abstracts
Metrics:
See at:
ISTI Repository | ISTI Repository | www.liebertpub.com | CNR ExploRA
2018
Contribution to journal
Open Access
Telemedicine in Italian mountain area: the e-Res@mont project
Martinelli M., Pratali L., Giardini G., La Monica D., Bastiani L., Fosson Jean P., Bonin S., Cugnetto M., Fiorini A., Pernechele N., Ranfone M., Caligiana L., De La Pierre F., Stella M., Salvetti O., Moroni D.
A teleconsultation system was developed as part of the of e-Rés@mont (European Interreg Alcotra) project, aimed to improve the healthcare for mountain inhabitants and tourists. Accessing a Web system, through a tablet equipped with a mobile 3G/4G connection, trained nurses from remote shelters of north-west Italian mountain area (between 1544 and 3500 m) can send multimedia data (physiological parameters, electrocardiogram, echography, etc.) to the hospital (Aosta, Italy) where a doctor determined a diagnosis. This system provided an ad hoc videoconference built using the most recent technologies with autoadapting videoband. When connection was not available, a decision support system, on an off-line app, provides scores and suggestions to the nurse to evaluate the severity, to dispense emergency aids, and to call rescue services when needed. When the connection turned available, locally stored data were sent to the hospital. On the basis of acquired information, the presence of acute mountain sickness was also automatically assessed. A total of 702 teleconsultations were performed during last summer and winter. The system fully performed the functions it was designed for in mountain areas: all data were correctly received at the hospital and teleconsultations allowed specialist checks. The average diagnosis time was 42 minutes: 333 white, 356 yellow, and 13 red severity; moreover, in 12 cases, this system avoided inappropriate helicopter rescue intervention. Our mountain teleconsultation system was effective in improving people emergency treatments, allowing proper diagnoses and reducing waiting time. Further studies are needed to establish the effectiveness of this system in a high-altitude setting (>3500 m).Source: High altitude medicine & biology (Online) 19 (2018): 36–37.
Martinelli M., Pratali L., Giardini G., La Monica D., Bastiani L., Fosson Jean P., Bonin S., Cugnetto M., Fiorini A., Pernechele N., Ranfone M., Caligiana L., De La Pierre F., Stella M., Salvetti O., Moroni D.
A teleconsultation system was developed as part of the of e-Rés@mont (European Interreg Alcotra) project, aimed to improve the healthcare for mountain inhabitants and tourists. Accessing a Web system, through a tablet equipped with a mobile 3G/4G connection, trained nurses from remote shelters of north-west Italian mountain area (between 1544 and 3500 m) can send multimedia data (physiological parameters, electrocardiogram, echography, etc.) to the hospital (Aosta, Italy) where a doctor determined a diagnosis. This system provided an ad hoc videoconference built using the most recent technologies with autoadapting videoband. When connection was not available, a decision support system, on an off-line app, provides scores and suggestions to the nurse to evaluate the severity, to dispense emergency aids, and to call rescue services when needed. When the connection turned available, locally stored data were sent to the hospital. On the basis of acquired information, the presence of acute mountain sickness was also automatically assessed. A total of 702 teleconsultations were performed during last summer and winter. The system fully performed the functions it was designed for in mountain areas: all data were correctly received at the hospital and teleconsultations allowed specialist checks. The average diagnosis time was 42 minutes: 333 white, 356 yellow, and 13 red severity; moreover, in 12 cases, this system avoided inappropriate helicopter rescue intervention. Our mountain teleconsultation system was effective in improving people emergency treatments, allowing proper diagnoses and reducing waiting time. Further studies are needed to establish the effectiveness of this system in a high-altitude setting (>3500 m).Source: High altitude medicine & biology (Online) 19 (2018): 36–37.
See at:
ISTI Repository | www.liebertpub.com | CNR ExploRA
2018
Other
Open Access
XSL
Martinelli M.
Materiale del corso di Laurea in Informatica Umanistica "CODIFICA DI TESTI" del 10/12/2018
Martinelli M.
Materiale del corso di Laurea in Informatica Umanistica "CODIFICA DI TESTI" del 10/12/2018
See at:
ISTI Repository | CNR ExploRA | www1.isti.cnr.it
2018
Contribution to conference
Open Access
A software platform for maritime monitoring and prompt target characterization
Reggiannini M., Righi M., Tampucci M., Bedini L., Di Paola C., Martinelli M., Mercurio C., Salerno E.
The main purpose of the work described here concerns the development of a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Synthetic Aperture Radar (SAR) and Optical maps captured by satellite-borne sensors. Inspired by a computer vision approach, the mentioned platform consists of a pipeline of processing steps devoted to i) the detection of vessel targets in the input map, ii) the extraction of the vessel descriptive features and finally, iii) the estimation of the kinematics of the targets by identifying and analyzing the wake patterns on the water surface. The first task in the processing chain concerns the identification in the input map of potential vessel targets. This is obtained by a dedicated detector, based on a signal thresholding method. The threshold value is conceived as a spatially varying parameter, in order to adapt the algorithm sensitivity to the nonstationary properties of noise. A second step in the processing pipeline focuses on the analysis of the individual vessel images in order to perform morphological and radiometric measurements. At this stage, the signal is processed to refine the identification of the image pixels belonging to the vessel silhouette and to perform meaningful measurements on them. The extracted features provide quantitative attributes (length, width, pixel radiometry distribution) that can also be exploited to implement a classification module. The final stage of the processing pipeline concerns the analysis of the areas surrounding the vessel silhouette, where, in case of ship motion, a surface wake pattern is expected to be observed. A proper processing of these surface patterns allows us to estimate the route and, whenever the image resolution is large enough to observe the internal wake components, the ship velocity. By integrating the information returned by the procedures described so far, a system for maritime surveillance and vessel traffic monitoring can be developed. Given the quantitative approach inspiring each link of the processing chain, this software platform represents a reliable tool that can be exploited by concerned decision makers in critical maritime frameworks, such as unauthorized fishing counteractions or irregular migration and smuggling activities.Source: The ESA Earth Observation week, Frascati, Roma, Italy, 12-16 November 2018
Reggiannini M., Righi M., Tampucci M., Bedini L., Di Paola C., Martinelli M., Mercurio C., Salerno E.
The main purpose of the work described here concerns the development of a software platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Synthetic Aperture Radar (SAR) and Optical maps captured by satellite-borne sensors. Inspired by a computer vision approach, the mentioned platform consists of a pipeline of processing steps devoted to i) the detection of vessel targets in the input map, ii) the extraction of the vessel descriptive features and finally, iii) the estimation of the kinematics of the targets by identifying and analyzing the wake patterns on the water surface. The first task in the processing chain concerns the identification in the input map of potential vessel targets. This is obtained by a dedicated detector, based on a signal thresholding method. The threshold value is conceived as a spatially varying parameter, in order to adapt the algorithm sensitivity to the nonstationary properties of noise. A second step in the processing pipeline focuses on the analysis of the individual vessel images in order to perform morphological and radiometric measurements. At this stage, the signal is processed to refine the identification of the image pixels belonging to the vessel silhouette and to perform meaningful measurements on them. The extracted features provide quantitative attributes (length, width, pixel radiometry distribution) that can also be exploited to implement a classification module. The final stage of the processing pipeline concerns the analysis of the areas surrounding the vessel silhouette, where, in case of ship motion, a surface wake pattern is expected to be observed. A proper processing of these surface patterns allows us to estimate the route and, whenever the image resolution is large enough to observe the internal wake components, the ship velocity. By integrating the information returned by the procedures described so far, a system for maritime surveillance and vessel traffic monitoring can be developed. Given the quantitative approach inspiring each link of the processing chain, this software platform represents a reliable tool that can be exploited by concerned decision makers in critical maritime frameworks, such as unauthorized fishing counteractions or irregular migration and smuggling activities.Source: The ESA Earth Observation week, Frascati, Roma, Italy, 12-16 November 2018
See at:
ISTI Repository | phiweek.esa.int | CNR ExploRA
2018
Contribution to conference
Open Access
UAV and multimodal image analysis for power line monitoring
Bacco M., Benassi A., Berton A., Gotta A., Jalil B., La Rosa D., Leone G. R., Martinelli M., Moroni D., Pascali M. A., Salvetti O.
In this presentation (delivered at DREIS held in Rome on April 17, 2018) we show the activities carried out at CNR-ISTI concerning the use of UAVs and multimodal image analysis for power line inspection. The work here presented has been partially supported by "SCIADRO", a project funded by the Tuscany Region under the PAR FAS program.Source: DREIS 2018 - DJI event on drones in research and energy industrial applications, CNR, Roma, Italy, 17 April 2018
DOI: 10.5281/zenodo.2560893
DOI: 10.5281/zenodo.2560892
Metrics:
Bacco M., Benassi A., Berton A., Gotta A., Jalil B., La Rosa D., Leone G. R., Martinelli M., Moroni D., Pascali M. A., Salvetti O.
In this presentation (delivered at DREIS held in Rome on April 17, 2018) we show the activities carried out at CNR-ISTI concerning the use of UAVs and multimodal image analysis for power line inspection. The work here presented has been partially supported by "SCIADRO", a project funded by the Tuscany Region under the PAR FAS program.Source: DREIS 2018 - DJI event on drones in research and energy industrial applications, CNR, Roma, Italy, 17 April 2018
DOI: 10.5281/zenodo.2560893
DOI: 10.5281/zenodo.2560892
Metrics:
See at:
ISTI Repository | zenodo.org | CNR ExploRA
2018
Report
Open Access
OSIRIS "Optical and Sar data and system Integration for Rush Identification of Ship models" a Maritime Situational Awareness System
Salerno E., Righi M., Reggiannini M., Martinelli M., Tampucci M., Bedini L., Salvetti O., Marchetti A., D'Errico A., Bacciu C., Lo Duca A., Di Paola C., Mercurio C., Greco A., Zizi B., Mistretta A.
OSIRIS ESA Project Final PresentationSource: Project report, OSIRIS, 2018
Salerno E., Righi M., Reggiannini M., Martinelli M., Tampucci M., Bedini L., Salvetti O., Marchetti A., D'Errico A., Bacciu C., Lo Duca A., Di Paola C., Mercurio C., Greco A., Zizi B., Mistretta A.
OSIRIS ESA Project Final PresentationSource: Project report, OSIRIS, 2018
See at:
ISTI Repository | wiki.services.eoportal.org | CNR ExploRA
2017
Journal article
Open Access
Mirror Mirror on the Wall ... An Unobtrusive Intelligent Multisensory Mirror for Well-Being Status Self-Assessment and Visualization
Henriquez P., Matuszewski B. J., Andreu-Cabedo Y., Bastiani L., Colantonio S., Coppini G., D'Acunto M., Favilla R., Germanese D., Giorgi D., Marraccini P., Martinelli M., Morales M. A., Pascali M. A, Righi M., Salvetti O., Larsson M., Stromberg T., Randeberg L., Bjorgan A., Giannakakis G., Pediaditis M., Chiarugi F., Christinaki E., Marias K., Tsiknakis M.
A person's well-being status is reflected by their face through a combination of facial expressions and physical signs. The SEMEOTICONS project translates the semeiotic code of the human face into measurements and computational descriptors that are automatically extracted from images, videos, and three-dimensional scans of the face. SEMEOTICONS developed a multisensory platform in the form of a smart mirror to identify signs related to cardio-metabolic risk. The aim was to enable users to self-monitor their well-being status over time and guide them to improve their lifestyle. Significant scientific and technological challenges have been addressed to build the multisensory mirror, from touchless data acquisition, to real-time processing and integration of multimodal data.Source: IEEE transactions on multimedia 19 (2017): 1467–1481. doi:10.1109/TMM.2017.2666545
DOI: 10.1109/tmm.2017.2666545
Project(s): SEMEOTICONS
Metrics:
Henriquez P., Matuszewski B. J., Andreu-Cabedo Y., Bastiani L., Colantonio S., Coppini G., D'Acunto M., Favilla R., Germanese D., Giorgi D., Marraccini P., Martinelli M., Morales M. A., Pascali M. A, Righi M., Salvetti O., Larsson M., Stromberg T., Randeberg L., Bjorgan A., Giannakakis G., Pediaditis M., Chiarugi F., Christinaki E., Marias K., Tsiknakis M.
A person's well-being status is reflected by their face through a combination of facial expressions and physical signs. The SEMEOTICONS project translates the semeiotic code of the human face into measurements and computational descriptors that are automatically extracted from images, videos, and three-dimensional scans of the face. SEMEOTICONS developed a multisensory platform in the form of a smart mirror to identify signs related to cardio-metabolic risk. The aim was to enable users to self-monitor their well-being status over time and guide them to improve their lifestyle. Significant scientific and technological challenges have been addressed to build the multisensory mirror, from touchless data acquisition, to real-time processing and integration of multimodal data.Source: IEEE transactions on multimedia 19 (2017): 1467–1481. doi:10.1109/TMM.2017.2666545
DOI: 10.1109/tmm.2017.2666545
Project(s): SEMEOTICONS
Metrics:
See at:
IEEE Transactions on Multimedia | ISTI Repository | IEEE Transactions on Multimedia | CNR ExploRA
2017
Contribution to conference
Open Access
Medicina e telemedicina sulle montagne italiane
Pratali L., Martinelli M.
Stato dell'arte della telemedicina in montagna e il caso del progetto europeo e-Rés@mont.Source: XIX Congresso della Società Italiana di Medicina di Montagna, in congiunzione con International Mountain Summit 2017, Bressanone, Italy, 13-14 ottobre 2017
Pratali L., Martinelli M.
Stato dell'arte della telemedicina in montagna e il caso del progetto europeo e-Rés@mont.Source: XIX Congresso della Società Italiana di Medicina di Montagna, in congiunzione con International Mountain Summit 2017, Bressanone, Italy, 13-14 ottobre 2017
See at:
ISTI Repository | www.societaitalianamedicinadimontagna.it | CNR ExploRA
2017
Report
Unknown
OSIRIS - Features DataBase
Martinelli M., Tampucci M., Righi M., Salerno E.
The Features DataBase is part of the activity in the OSIRIS Project and it is a support for the classification algorithm in order to recognize the vessel class from a satellite image.Source: Project report, OSIRIS, 2017
Martinelli M., Tampucci M., Righi M., Salerno E.
The Features DataBase is part of the activity in the OSIRIS Project and it is a support for the classification algorithm in order to recognize the vessel class from a satellite image.Source: Project report, OSIRIS, 2017
See at: CNR ExploRA
2017
Contribution to conference
Closed Access
Servizio di teleconsulto medico innovativo e-Rés@mont
Pratali L., Martinelli M.
La presentazione illustra i risultati del sistema di teleconsulto medico durante la fase estiva del progetto e-Rés@mont.Source: Conferenza finale del progetto e-Rés@mont, Courmayeur, Italy, 7/12/2017
Pratali L., Martinelli M.
La presentazione illustra i risultati del sistema di teleconsulto medico durante la fase estiva del progetto e-Rés@mont.Source: Conferenza finale del progetto e-Rés@mont, Courmayeur, Italy, 7/12/2017
See at:
www.fondazionemontagnasicura.org | CNR ExploRA
2016
Report
Unknown
Sistema di monitoraggio, prevenzione e allarme in acqua e in aria
Benassi A., Germanese D., Magrini M., Martinelli M., Reggiannini M., Righi M.
This report describes the activities carried out to realize a system of monitoring, prevention and alarm in pools or spa environments. The research group of the Laboratory research Signals and Images of the Institute of Science and Information Technologies of the National Research Council realized an experimented a wearable device, for the transmission of an alarm message and a portable device for receiving. The system allows to use the same device for the transmission in air and in water. The conceptual features of the system and its verification of functioning in a real environment are described.Source: ISTI Technical reports, 2016
Benassi A., Germanese D., Magrini M., Martinelli M., Reggiannini M., Righi M.
This report describes the activities carried out to realize a system of monitoring, prevention and alarm in pools or spa environments. The research group of the Laboratory research Signals and Images of the Institute of Science and Information Technologies of the National Research Council realized an experimented a wearable device, for the transmission of an alarm message and a portable device for receiving. The system allows to use the same device for the transmission in air and in water. The conceptual features of the system and its verification of functioning in a real environment are described.Source: ISTI Technical reports, 2016
See at: CNR ExploRA
2016
Report
Unknown
OSIRIS - A brief survey on ship detection, classification and identification from SAR imagery
Salerno E., Martinelli M., Moroni D., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
This report summarizes some of the recent literature on ship detection and recognition from SAR images. The main features of the SAR technique and the typical target and clutter signatures are first briefly reviewed, with particular reference to marine applications. Then, the recognition issue is split into three fundamental steps: detection- discrimination, classification, and identification. The information drawn from the literature dealing with detection-discrimination is essentially on the type of features used, with some indication on the extraction methods adopted and the results obtained in the experiments reported. This information is useful for classification and identification purposes in that the different features yield different discriminative powers. Since classification and identification are our main concern in the OSIRIS project, this survey considers the proposed strategies as potential starting points for our own implementation, mainly focusing on the number of classes that can be assigned on the basis of the features considered. An analysis of the classification algorithms proposed is only marginal here, as it will be the subject of a future, much more goal-oriented study.Source: Project report, OSIRIS, 2016
Salerno E., Martinelli M., Moroni D., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
This report summarizes some of the recent literature on ship detection and recognition from SAR images. The main features of the SAR technique and the typical target and clutter signatures are first briefly reviewed, with particular reference to marine applications. Then, the recognition issue is split into three fundamental steps: detection- discrimination, classification, and identification. The information drawn from the literature dealing with detection-discrimination is essentially on the type of features used, with some indication on the extraction methods adopted and the results obtained in the experiments reported. This information is useful for classification and identification purposes in that the different features yield different discriminative powers. Since classification and identification are our main concern in the OSIRIS project, this survey considers the proposed strategies as potential starting points for our own implementation, mainly focusing on the number of classes that can be assigned on the basis of the features considered. An analysis of the classification algorithms proposed is only marginal here, as it will be the subject of a future, much more goal-oriented study.Source: Project report, OSIRIS, 2016
See at: CNR ExploRA
2016
Report
Unknown
Studio di fattibilità per la realizzazione di una mobile APP in grado di gestire contenuti multimediali di interesse territoriale
Martinelli M.
This project report describes the activities carried out in the frame of a contract agreed by ISTI with the APPtour srl Company. The aim of the agreement is the "Feasibility Study for the project of platform independent mobile APP in dedicated networks of multimedia content of regional interest to be accessed and used by different types of users.Source: Project report, 2016
Martinelli M.
This project report describes the activities carried out in the frame of a contract agreed by ISTI with the APPtour srl Company. The aim of the agreement is the "Feasibility Study for the project of platform independent mobile APP in dedicated networks of multimedia content of regional interest to be accessed and used by different types of users.Source: Project report, 2016
See at: CNR ExploRA
2016
Report
Unknown
SEMEOTICONS - SW Applications and Services: final Release of the applications and services
Vitali I., Nicoletta A., Martinelli M.
The final version of the released software here described preserves the communication structure among the system analysis modules that was described in D7.2.1. However, differently from D7.1.2, we defined an improved user interaction flow, also based on a completely revisited GUI. The final GUI consists of three main panels (see D7.1.2) that were designed assuming the landscape orientation of the mirror, covering all the screen area, and implementing User eXperience (UX) touch-screen solutions to easily manipulate graphical elements with spontaneous and immediate hand gestures.Source: Project report, SEMEOTICONS, Deliverable D7.2.2, 2016
Project(s): SEMEOTICONS
Vitali I., Nicoletta A., Martinelli M.
The final version of the released software here described preserves the communication structure among the system analysis modules that was described in D7.2.1. However, differently from D7.1.2, we defined an improved user interaction flow, also based on a completely revisited GUI. The final GUI consists of three main panels (see D7.1.2) that were designed assuming the landscape orientation of the mirror, covering all the screen area, and implementing User eXperience (UX) touch-screen solutions to easily manipulate graphical elements with spontaneous and immediate hand gestures.Source: Project report, SEMEOTICONS, Deliverable D7.2.2, 2016
Project(s): SEMEOTICONS
See at: CNR ExploRA
2016
Report
Unknown
SEMEOTICONS - Software Integration and Wize Mirror user manual
Martinelli M., Germanese D., Pascali M. A., Mazzarisi A., Henriquez P., Vitali I.
This deliverable reports the results of software integration of the WM prototype and includes the User Manual for the final prototype of the Wize Mirror (WM) as finalized during the last software integration phase that has set up the complete system (see D8.5.1).Source: Project report, SEMEOTICONS, Deliverable D8.5.2, 2016
Project(s): SEMEOTICONS
Martinelli M., Germanese D., Pascali M. A., Mazzarisi A., Henriquez P., Vitali I.
This deliverable reports the results of software integration of the WM prototype and includes the User Manual for the final prototype of the Wize Mirror (WM) as finalized during the last software integration phase that has set up the complete system (see D8.5.1).Source: Project report, SEMEOTICONS, Deliverable D8.5.2, 2016
Project(s): SEMEOTICONS
See at: CNR ExploRA
2016
Report
Unknown
SEMEOTICONS - Personalized user's guidance
Colantonio S., Giorgi D., Martinelli M., Pascali M. A., Bastiani L., Coppini G., Genitsaridi I., Giannakakis G., Kazantzaki E., Pediaditis M., Tsiknakis M.
The present document reports the achievements of Task 6.3 - Personalized user's guidance. The objective of Task 6.3 is to develop a personalized guidance system which supports the user towards behavioural change, through tailored coaching messages. The Personalized User Guidance implemented by SEMEOTICONS' Wize Mirror, also referred to as Wize Guidance, is designed to allow normal people achieve and maintain a correct lifestyle, so as to reduce their cardio-metabolic risk and improve their quality of life. Indeed, cardio-metabolic risk factors are mainly related to modifiable factors pertaining to people's lifestyle.Source: Project report, SEMEOTICONS, Deliverable D6.3, 2016
Project(s): SEMEOTICONS
Colantonio S., Giorgi D., Martinelli M., Pascali M. A., Bastiani L., Coppini G., Genitsaridi I., Giannakakis G., Kazantzaki E., Pediaditis M., Tsiknakis M.
The present document reports the achievements of Task 6.3 - Personalized user's guidance. The objective of Task 6.3 is to develop a personalized guidance system which supports the user towards behavioural change, through tailored coaching messages. The Personalized User Guidance implemented by SEMEOTICONS' Wize Mirror, also referred to as Wize Guidance, is designed to allow normal people achieve and maintain a correct lifestyle, so as to reduce their cardio-metabolic risk and improve their quality of life. Indeed, cardio-metabolic risk factors are mainly related to modifiable factors pertaining to people's lifestyle.Source: Project report, SEMEOTICONS, Deliverable D6.3, 2016
Project(s): SEMEOTICONS
See at: CNR ExploRA
2016
Report
Unknown
Analisi preliminare dei dati dei questionari su qualità della vita, comportamenti di salute, profilo psicologico sulla base degli indici di rischio cardiometabolico
Colasante E., Curzio O., Denoth F., Martinelli M., Molinaro S.
-Source: Research report, Semeoticons, 2016
Colasante E., Curzio O., Denoth F., Martinelli M., Molinaro S.
-Source: Research report, Semeoticons, 2016
See at: CNR ExploRA
2016
Other
Unknown
e-Rés@mont
Giardini G., Fosson J. P., Pratali L., Martinelli M., Cauchy E., Cotting A.
Progetto europeo interreg-alcotra di telemedicina intorno al monte bianco
Giardini G., Fosson J. P., Pratali L., Martinelli M., Cauchy E., Cotting A.
Progetto europeo interreg-alcotra di telemedicina intorno al monte bianco
See at: CNR ExploRA
2015
Other
Unknown
Un apparato per la spettrometria di linea
Righi M., Martinelli M., Benassi A., Chimenti M., Magrini M., Colantonio S., Salvetti O.
The work describes an apparatus for measuring the spectra of light emitted from a linear array of areas, set on the surface of an object under examination. The light emitted from areas is sent from a target on the entrance slit of a dispersion element, which contains a grid and two prisms, which deflect the light at different angles as a function of wavelength; the light rays emerging from the dispersion device strike the sensor area of a monochrome camera, and is thus obtained a spectral image that can be saved and processed. The dispersion element is aligned with the camera so that each column of the image defines the spectrum of the light emitted from the corresponding captured area. The work shows the procedure of processing that allows you to transform raw data into the camera output (luminance profiles added depending on the line) in values of transmittance or reflectance as a function of wavelength. This apparatus can measure spectra in the range 380-780 nm, with a spectral resolution of about 5 nm; the size of the areas examined, and then the spatial resolution, is fully adjustable.
Righi M., Martinelli M., Benassi A., Chimenti M., Magrini M., Colantonio S., Salvetti O.
The work describes an apparatus for measuring the spectra of light emitted from a linear array of areas, set on the surface of an object under examination. The light emitted from areas is sent from a target on the entrance slit of a dispersion element, which contains a grid and two prisms, which deflect the light at different angles as a function of wavelength; the light rays emerging from the dispersion device strike the sensor area of a monochrome camera, and is thus obtained a spectral image that can be saved and processed. The dispersion element is aligned with the camera so that each column of the image defines the spectrum of the light emitted from the corresponding captured area. The work shows the procedure of processing that allows you to transform raw data into the camera output (luminance profiles added depending on the line) in values of transmittance or reflectance as a function of wavelength. This apparatus can measure spectra in the range 380-780 nm, with a spectral resolution of about 5 nm; the size of the areas examined, and then the spatial resolution, is fully adjustable.
See at: CNR ExploRA
2015
Journal article
Open Access
Detection of an one-way mirror transmittance by line spectrometry
Righi M., Martinelli M., Benassi A., Chimenti M., Salvetti O.
The paper describes a system for light spectrum detection of an one-way mirror transmittance by line spectrometry. The system is composed of a focusing lens, a dispersion device and a monochromatic camera. The focusing lens system determines the Region Of Interest (ROI), consisting of a slight rectangular area that can be considered as a linear array of adjacent cells, and sent the light emitted by the region to the entrance slit of the dispersion device. The light rays emerging from the dispersion device hit the area sensor of the camera, that produces an image composed by the spectra of the elementary cells of the ROI. The paper reports a processing procedure for transforming raw data produced by the camera into transmittance or reflectance data. The system allows to measure spectra in the range 380-780 nm, with spectral resolution of about 5 nm. The spatial resolution, that is the dimension of the cells of the ROI, can be set by the imaging lens. The paper describes also an application realized to determine the spectral transmittance of transparent or semi-reflective mirrors and plates.Source: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 4 (2015): 6801–6814. doi:10.15662/ijareeie.2015.0408001
DOI: 10.15662/ijareeie.2015.0408001
Metrics:
Righi M., Martinelli M., Benassi A., Chimenti M., Salvetti O.
The paper describes a system for light spectrum detection of an one-way mirror transmittance by line spectrometry. The system is composed of a focusing lens, a dispersion device and a monochromatic camera. The focusing lens system determines the Region Of Interest (ROI), consisting of a slight rectangular area that can be considered as a linear array of adjacent cells, and sent the light emitted by the region to the entrance slit of the dispersion device. The light rays emerging from the dispersion device hit the area sensor of the camera, that produces an image composed by the spectra of the elementary cells of the ROI. The paper reports a processing procedure for transforming raw data produced by the camera into transmittance or reflectance data. The system allows to measure spectra in the range 380-780 nm, with spectral resolution of about 5 nm. The spatial resolution, that is the dimension of the cells of the ROI, can be set by the imaging lens. The paper describes also an application realized to determine the spectral transmittance of transparent or semi-reflective mirrors and plates.Source: International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering 4 (2015): 6801–6814. doi:10.15662/ijareeie.2015.0408001
DOI: 10.15662/ijareeie.2015.0408001
Metrics:
See at:
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering | ijareeie.com | CNR ExploRA
2015
Journal article
Open Access
A smart mirror to promote a healthy lifestyle
Colantonio S., Coppini G., Germanese D., Giorgi D., Magrini M., Marraccini P., Martinelli M., Morales M. A., Pascali M. A., Raccichini G., Righi M., Salvetti O.
ICT solutions to foster behavioural change have been shown to be effective in implementing primary prevention in terms of a healthy lifestyle. Primary prevention is the most viable approach to reduce the socio-economic burden of chronic and widespread diseases, such as cardiovascular and metabolic diseases. In this paper, we present a novel multisensory device, the Wize Mirror, which is under development in the EU FP7 Project SEMEOTICONS. The Wize Mirror detects and monitors over time semeiotic face signs related to cardio-metabolic risk, and encourages users to reduce their risk by improving their lifestyle.Source: Biosystems engineering 138 (2015): 33–43. doi:10.1016/j.biosystemseng.2015.06.008
DOI: 10.1016/j.biosystemseng.2015.06.008
Project(s): SEMEOTICONS
Metrics:
Colantonio S., Coppini G., Germanese D., Giorgi D., Magrini M., Marraccini P., Martinelli M., Morales M. A., Pascali M. A., Raccichini G., Righi M., Salvetti O.
ICT solutions to foster behavioural change have been shown to be effective in implementing primary prevention in terms of a healthy lifestyle. Primary prevention is the most viable approach to reduce the socio-economic burden of chronic and widespread diseases, such as cardiovascular and metabolic diseases. In this paper, we present a novel multisensory device, the Wize Mirror, which is under development in the EU FP7 Project SEMEOTICONS. The Wize Mirror detects and monitors over time semeiotic face signs related to cardio-metabolic risk, and encourages users to reduce their risk by improving their lifestyle.Source: Biosystems engineering 138 (2015): 33–43. doi:10.1016/j.biosystemseng.2015.06.008
DOI: 10.1016/j.biosystemseng.2015.06.008
Project(s): SEMEOTICONS
Metrics:
See at:
ISTI Repository | Biosystems Engineering | www.sciencedirect.com | CNR ExploRA
2015
Conference article
Open Access
Mirror mirror on the wall... An intelligent multisensory mirror for well-being self-assessment
Andreu-Cabedo Y., Castellano P., Colantonio S., Coppini G., Favilla R., Germanese D., Giannakakis G., Giorgi D., Larsson M., Marraccini P., Martinelli M., Matuszewski B., Milanic M., Pascali M., Pediaditis M., Raccichini G., Randeberg L., Salvetti O., Stromberg T.
The face reveals the healthy status of an individual, through a combination of physical signs and facial expressions. The project SEMEOTICONS is translating the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, images, and 3D scans of the face. SEMEOTICONS is developing a multisensory platform, in the form of a smart mirror, looking for signs related to cardio-metabolic risk. The goal is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance. Building the multisensory mirror requires addressing significant scientific and technological challenges, from touch-less data acquisition, to real-time processing and integration of multimodal data.Source: IEEE International Conference on Multimedia and Expo, Turin, Italy, 29/06/2015-03/07/2015
DOI: 10.1109/icme.2015.7177468
Metrics:
Andreu-Cabedo Y., Castellano P., Colantonio S., Coppini G., Favilla R., Germanese D., Giannakakis G., Giorgi D., Larsson M., Marraccini P., Martinelli M., Matuszewski B., Milanic M., Pascali M., Pediaditis M., Raccichini G., Randeberg L., Salvetti O., Stromberg T.
The face reveals the healthy status of an individual, through a combination of physical signs and facial expressions. The project SEMEOTICONS is translating the semeiotic code of the human face into computational descriptors and measures, automatically extracted from videos, images, and 3D scans of the face. SEMEOTICONS is developing a multisensory platform, in the form of a smart mirror, looking for signs related to cardio-metabolic risk. The goal is to enable users to self-monitor their well-being status over time and improve their life-style via tailored user guidance. Building the multisensory mirror requires addressing significant scientific and technological challenges, from touch-less data acquisition, to real-time processing and integration of multimodal data.Source: IEEE International Conference on Multimedia and Expo, Turin, Italy, 29/06/2015-03/07/2015
DOI: 10.1109/icme.2015.7177468
Metrics:
See at:
ISTI Repository | doi.org | ieeexplore.ieee.org | CNR ExploRA
2015
Report
Unknown
SEMEOTICONS - Design of the Wize Mirror ICT platform - updates
Martinelli M., Righi M., Manousos D., Giannakakis G., Pediaditis M., Tsiknakis M., Larsson M., Henriquez P., Matuszewski B. J., Bjorgan A., Nicoletta A., Vitali I., Assimakopoulou C., Posas J., Puig J., Gimeno M.
This deliverable refers to WP2, which addresses the challenges associated with the design of all system components (HW, SW and DB) of the Wize Mirror. More specifically, Task 2.3 "Design of the ICT platform" addresses the design of the ICT infrastructure for the Wize Mirror device, providing the design guidelines that direct the development process carried out in the technical WPs to meet the hardware and software specifications of the Wize Mirror. This deliverable is the updated version of the previous D2.3.1.Source: Project report, SEMEOTICONS, Deliverable D2.3.2, 2015
Project(s): SEMEOTICONS
Martinelli M., Righi M., Manousos D., Giannakakis G., Pediaditis M., Tsiknakis M., Larsson M., Henriquez P., Matuszewski B. J., Bjorgan A., Nicoletta A., Vitali I., Assimakopoulou C., Posas J., Puig J., Gimeno M.
This deliverable refers to WP2, which addresses the challenges associated with the design of all system components (HW, SW and DB) of the Wize Mirror. More specifically, Task 2.3 "Design of the ICT platform" addresses the design of the ICT infrastructure for the Wize Mirror device, providing the design guidelines that direct the development process carried out in the technical WPs to meet the hardware and software specifications of the Wize Mirror. This deliverable is the updated version of the previous D2.3.1.Source: Project report, SEMEOTICONS, Deliverable D2.3.2, 2015
Project(s): SEMEOTICONS
See at: CNR ExploRA
2015
Report
Unknown
SEMEOTICONS - Data management system design - Updates
Martinelli M., Coppini G., Vitali I., Nicoletta A.
This document is the update of the deliverable D2.4.1. In the context of WP2, these deliverables aim to report the design of the Data Management solution.Source: Project report, SEMEOTICONS, Deliverable D2.4.2, 2015
Project(s): SEMEOTICONS
Martinelli M., Coppini G., Vitali I., Nicoletta A.
This document is the update of the deliverable D2.4.1. In the context of WP2, these deliverables aim to report the design of the Data Management solution.Source: Project report, SEMEOTICONS, Deliverable D2.4.2, 2015
Project(s): SEMEOTICONS
See at: CNR ExploRA
2015
Report
Unknown
SEMEOTICONS - Second report on technical validation
Colantonio S., Coppini G., Favilla R., Bastiani L., Pascali M. A., Giorgi D., Martinelli M., Matuszewski B. J., Henriquez P., Chiarugi F., Stromberg T., Larsson M., Randeberg L., Bjorgan A.
This report describes the periodic validation of methods and devices during the second year of the project. Corresponding to the second run of SEMEOTICONS development cycle. This activity is related to Task 8.6. With respect to the previous report on technical validation (D8.6.1), mainly based on methodological testing carried out in a non-integrated way, this report entails all the project activities, including integration work, which was undertaken after the release of WM prototype (MS3). Two major events (Integration weeks in May and October 2015, respectively) were organized to harmonize the integration work and allow a joint testing of WM prototype functionalities.Source: Project report, SEMEOTICONS, Deliverable D8.6.2, 2015
Project(s): SEMEOTICONS
Colantonio S., Coppini G., Favilla R., Bastiani L., Pascali M. A., Giorgi D., Martinelli M., Matuszewski B. J., Henriquez P., Chiarugi F., Stromberg T., Larsson M., Randeberg L., Bjorgan A.
This report describes the periodic validation of methods and devices during the second year of the project. Corresponding to the second run of SEMEOTICONS development cycle. This activity is related to Task 8.6. With respect to the previous report on technical validation (D8.6.1), mainly based on methodological testing carried out in a non-integrated way, this report entails all the project activities, including integration work, which was undertaken after the release of WM prototype (MS3). Two major events (Integration weeks in May and October 2015, respectively) were organized to harmonize the integration work and allow a joint testing of WM prototype functionalities.Source: Project report, SEMEOTICONS, Deliverable D8.6.2, 2015
Project(s): SEMEOTICONS
See at: CNR ExploRA
2015
Report
Unknown
SEMEOTICONS - Final specification of system requirements and functionalities
Colantonio S., Germanese D., Martinelli M., Righi M., Coppini G., Chiarugi F., Pediaditis M., Stromberg T., Bjorgan A., Henriquez P., Matuszewski B. J., Nicoletta A., Vitali I., Miliarakis A., Assimakopoulou C.
This deliverable summarizes the final set of system requirements and functional specifications of the Wize Mirror and its components. It merges together and add new updates to D2.1.1 "Initial specification of system requirements and functionalities" and D2.1.2 "Revised specification of system requirements and functionalities".Source: Project report, SEMEOTICONS, Deliverable D2.1.3, 2015
Project(s): SEMEOTICONS
Colantonio S., Germanese D., Martinelli M., Righi M., Coppini G., Chiarugi F., Pediaditis M., Stromberg T., Bjorgan A., Henriquez P., Matuszewski B. J., Nicoletta A., Vitali I., Miliarakis A., Assimakopoulou C.
This deliverable summarizes the final set of system requirements and functional specifications of the Wize Mirror and its components. It merges together and add new updates to D2.1.1 "Initial specification of system requirements and functionalities" and D2.1.2 "Revised specification of system requirements and functionalities".Source: Project report, SEMEOTICONS, Deliverable D2.1.3, 2015
Project(s): SEMEOTICONS
See at: CNR ExploRA
2015
Report
Unknown
SEMEOTICONS - Revised specification of system requirements and functionalities
Colantonio S., Germanese D., Righi M., Martinelli M., Coppini G., Morales M., Chiarugi F., Pediaditis M., Stromberg T., Randeberg L., Vitali I.
This deliverable reports on requirements and specifications for the Wize Mirror prototype from the research, scientific and technological innovation perspective.In this document, we report the amendments and/or corrections to: - medical requirements, also in accordance with the final release of the face semeiotic model of cardio-metabolic risk as reported in deliverable D1.1.2 "Final Semeiotic Model of Cardio-Metabolic Risk"; - methodological requirements, by refining the guidelines for the development of the core research methods; - technological requirements, by further specifying the needs for hardware and software resources.Source: Project report, SEMEOTICONS, Deliverable D2.1.2, 2015
Project(s): SEMEOTICONS
Colantonio S., Germanese D., Righi M., Martinelli M., Coppini G., Morales M., Chiarugi F., Pediaditis M., Stromberg T., Randeberg L., Vitali I.
This deliverable reports on requirements and specifications for the Wize Mirror prototype from the research, scientific and technological innovation perspective.In this document, we report the amendments and/or corrections to: - medical requirements, also in accordance with the final release of the face semeiotic model of cardio-metabolic risk as reported in deliverable D1.1.2 "Final Semeiotic Model of Cardio-Metabolic Risk"; - methodological requirements, by refining the guidelines for the development of the core research methods; - technological requirements, by further specifying the needs for hardware and software resources.Source: Project report, SEMEOTICONS, Deliverable D2.1.2, 2015
Project(s): SEMEOTICONS
See at: CNR ExploRA
2015
Report
Unknown
SEMEOTICONS - 1st release of the WIZE MIRROR PROTOTYPE
Colantonio S., Martinelli M., Raccichini G., Righi M., Coppini G., Chiarugi F., Manousos D., Larsson M. V Henriquez P., Matuszewski B. J., Nicoletta A., Vitali I., Assimakopoulou C., Puig J., Posas J., Gimeno M.
The present deliverable reports on the achievement of the milestone MS3, that is the release of the first Wize Mirror Prototype. In this report, we overview the hardware structure of the first prototype and describe the software integration week.Source: Project report, SEMEOTICONS, Deliverable MS3, 2015
Project(s): SEMEOTICONS
Colantonio S., Martinelli M., Raccichini G., Righi M., Coppini G., Chiarugi F., Manousos D., Larsson M. V Henriquez P., Matuszewski B. J., Nicoletta A., Vitali I., Assimakopoulou C., Puig J., Posas J., Gimeno M.
The present deliverable reports on the achievement of the milestone MS3, that is the release of the first Wize Mirror Prototype. In this report, we overview the hardware structure of the first prototype and describe the software integration week.Source: Project report, SEMEOTICONS, Deliverable MS3, 2015
Project(s): SEMEOTICONS
See at: CNR ExploRA
2015
Report
Unknown
SEMEOTICONS - Design of the Wize Mirror ICT platform
Colantonio S., Martinelli M., Righi M., Assimakopoulou C., Louloudakis S., Chiarugi F., Stromberg T., Randeberg L., Vitali I., Gimeno M.
This deliverable refers to WP2, which addresses the challenges associated with the design of all system components (HW, SW and DB) associated with the Wize Mirror development. More specifically, the related Task 2.3, design of the ICT platform, addresses the design of the ICT infrastructure for the Wize Mirror device, providing the design guidelines that will direct the development process carried out in WP3 and WP7 to meet the hardware and software specifications for Wize Mirror.Source: Project report, SEMEOTICONS, Deliverable D2.3.1, 2015
Project(s): SEMEOTICONS
Colantonio S., Martinelli M., Righi M., Assimakopoulou C., Louloudakis S., Chiarugi F., Stromberg T., Randeberg L., Vitali I., Gimeno M.
This deliverable refers to WP2, which addresses the challenges associated with the design of all system components (HW, SW and DB) associated with the Wize Mirror development. More specifically, the related Task 2.3, design of the ICT platform, addresses the design of the ICT infrastructure for the Wize Mirror device, providing the design guidelines that will direct the development process carried out in WP3 and WP7 to meet the hardware and software specifications for Wize Mirror.Source: Project report, SEMEOTICONS, Deliverable D2.3.1, 2015
Project(s): SEMEOTICONS
See at: CNR ExploRA
2015
Report
Unknown
SEMEOTICONS - User's requirements: final report containing the requirements of the SW applications
Nicoletta A., Vitali I., Martinelli M., Rossi E.
This document is the update of D7.1.1 and reports the final software requirements of SEMEOTICONS Graphical User Interface (GUI), also based on the feedbacks obtained from the technical activities in the other Work Packages.Source: Project report, SEMEOTICONS, Deliverable D7.1.2, 2015
Project(s): SEMEOTICONS
Nicoletta A., Vitali I., Martinelli M., Rossi E.
This document is the update of D7.1.1 and reports the final software requirements of SEMEOTICONS Graphical User Interface (GUI), also based on the feedbacks obtained from the technical activities in the other Work Packages.Source: Project report, SEMEOTICONS, Deliverable D7.1.2, 2015
Project(s): SEMEOTICONS
See at: CNR ExploRA
2014
Journal article
Open Access
Thesaurus: un database per il patrimonio culturale sommerso
La Monica D., Costa S., Pace G., Martinelli M., Salvetti O., Tampucci M., Righi M.
Thesaurus Project aims at promoting the knowledge of the underwater cultural heritage, ancient and modern, through the application of several typologies of tools: underwater autonomous vehicles, which will be able to explore the sea bottom in teams communicating with each other; a database, which will be useful to store and manage all the information referring to archaeological or historical objects, shipwrecks and sites. This paper aims to explain the logic structure of the database indicating the particular needs of the research, the different typologies of items which have to be managed (archaeological and historical objects; ancient, medieval or modern shipwrecks; underwater sites; written or figurative sources, etc.), the relation with other similar databases and projects. The main task of this part of Thesaurus is to plan and organize an IT system, which will allow archaeologists to describe information in detail, in order to make an efficient managing and retrieving data system available.Source: Archeologia e calcolatori 25 (2014): 51–69.
La Monica D., Costa S., Pace G., Martinelli M., Salvetti O., Tampucci M., Righi M.
Thesaurus Project aims at promoting the knowledge of the underwater cultural heritage, ancient and modern, through the application of several typologies of tools: underwater autonomous vehicles, which will be able to explore the sea bottom in teams communicating with each other; a database, which will be useful to store and manage all the information referring to archaeological or historical objects, shipwrecks and sites. This paper aims to explain the logic structure of the database indicating the particular needs of the research, the different typologies of items which have to be managed (archaeological and historical objects; ancient, medieval or modern shipwrecks; underwater sites; written or figurative sources, etc.), the relation with other similar databases and projects. The main task of this part of Thesaurus is to plan and organize an IT system, which will allow archaeologists to describe information in detail, in order to make an efficient managing and retrieving data system available.Source: Archeologia e calcolatori 25 (2014): 51–69.
See at:
www.progettocaere.rm.cnr.it | CNR ExploRA
2014
Report
Unknown
Calcolo della funzione di trasferimento della luce che attraversa uno specchio one-way
Righi M., Martinelli M., Benassi A., Chimenti M., Magrini M., Colantonio S., Salvetti O.
Questo documento descrive: un generico sistema di acquisizione dello spettro di un'immagine la calibrazione di uno spettroscopio analogico il calcolo della funzione di trasferimento della luce che attraversa uno specchio one-waySource: ISTI Technical reports, 2014
Righi M., Martinelli M., Benassi A., Chimenti M., Magrini M., Colantonio S., Salvetti O.
Questo documento descrive: un generico sistema di acquisizione dello spettro di un'immagine la calibrazione di uno spettroscopio analogico il calcolo della funzione di trasferimento della luce che attraversa uno specchio one-waySource: ISTI Technical reports, 2014
See at: CNR ExploRA
2014
Conference article
Restricted
A wize mirror for lifestyle improvement
Martinelli M., Benassi A., Colantonio S., Giorgi D., Magrini M., Pascali M. A., Righi M., Salvetti O.
This paper discusses the problem of fostering lifestyle changes towards healthier habits via tailored user guidance. We present a novel multisensory device, the Wize Mirror, which will be able to detect semeiotic face signs related to cardio-metabolic risk, and encourage users to reduce their risk by improving their lifestyle. Offering a proper user guidance requires solving three main issues: user profiling, definition of a wellness index based on biophysical data, and personalized guidance by means of coaching and supportive messages. For each of these issues, the solutions proposed in the EU FP7 Project SEMEOTICONS are presented, highlighting their advantages with respect to the state-of-the-art.Source: InMed 14 - Ebook: Second KES International Conference on Innovation in Medicine and Healthcare, pp. 390–399, San Sebastian, Spain, 9-11 July 2014
DOI: 10.3233/978-1-61499-474-9-390
Project(s): SEMEOTICONS
Metrics:
Martinelli M., Benassi A., Colantonio S., Giorgi D., Magrini M., Pascali M. A., Righi M., Salvetti O.
This paper discusses the problem of fostering lifestyle changes towards healthier habits via tailored user guidance. We present a novel multisensory device, the Wize Mirror, which will be able to detect semeiotic face signs related to cardio-metabolic risk, and encourage users to reduce their risk by improving their lifestyle. Offering a proper user guidance requires solving three main issues: user profiling, definition of a wellness index based on biophysical data, and personalized guidance by means of coaching and supportive messages. For each of these issues, the solutions proposed in the EU FP7 Project SEMEOTICONS are presented, highlighting their advantages with respect to the state-of-the-art.Source: InMed 14 - Ebook: Second KES International Conference on Innovation in Medicine and Healthcare, pp. 390–399, San Sebastian, Spain, 9-11 July 2014
DOI: 10.3233/978-1-61499-474-9-390
Project(s): SEMEOTICONS
Metrics:
See at:
www.ebooks.iospress.nl | CNR ExploRA
2014
Report
Unknown
SIMPLE - Suite di servizi e protocolli
Martinelli M., Magrini M., Moroni D., Pieri G., Tampucci M., Salvetti O.
This project report relates to SIMPLE Project http://simple.tuscany.it/ The SIMPLE (Sicurezza ferroviaria e Infrastruttura per la Mobilità applicate ai Passaggi a LivEllo) project aims to achieve an integrated and safe management of railway level crossings in the Smart City, providing at same time value-added services to citizens in the urban mobility domain. The SIMPLE system consists in two main components: one principally directed to the safety aspects of the railway level crossing and the other one which concerns the collection of data regarding the mobility in neighboring metropolitan roads and the provisioning of related services, such as indication of alternative routes to the drivers.Source: Project report, SIMPLE, Deliverable D.3.1.3, 2014
Martinelli M., Magrini M., Moroni D., Pieri G., Tampucci M., Salvetti O.
This project report relates to SIMPLE Project http://simple.tuscany.it/ The SIMPLE (Sicurezza ferroviaria e Infrastruttura per la Mobilità applicate ai Passaggi a LivEllo) project aims to achieve an integrated and safe management of railway level crossings in the Smart City, providing at same time value-added services to citizens in the urban mobility domain. The SIMPLE system consists in two main components: one principally directed to the safety aspects of the railway level crossing and the other one which concerns the collection of data regarding the mobility in neighboring metropolitan roads and the provisioning of related services, such as indication of alternative routes to the drivers.Source: Project report, SIMPLE, Deliverable D.3.1.3, 2014
See at: CNR ExploRA
2014
Report
Unknown
SIMPLE - Attività 5.1 - Suite di Validazione
Bertini G., Martinelli M., Magrini M., Moroni D., Pardini F., Pieri G., Salvetti O., Tampucci M.
This project report relates to SIMPLE Project http://simple.tuscany.it/ In this report we discuss the set of procedures and software routines needed for performing tests and validate the proposed WSN for traffic flow monitoring. The SIMPLE (Sicurezza ferroviaria e Infrastruttura per la Mobilità applicate ai Passaggi a LivEllo) project aims to achieve an integrated and safe management of railway level crossings in the Smart City, providing at same time value-added services to citizens in the urban mobility domain. The SIMPLE system consists in two main components: one principally directed to the safety aspects of the railway level crossing and the other one which concerns the collection of data regarding the mobility in neighboring metropolitan roads and the provisioning of related services, such as indication of alternative routes to the drivers.Source: Project report, SIMPLE, Deliverable D.5.1.2, pp.1–22, 2014
Bertini G., Martinelli M., Magrini M., Moroni D., Pardini F., Pieri G., Salvetti O., Tampucci M.
This project report relates to SIMPLE Project http://simple.tuscany.it/ In this report we discuss the set of procedures and software routines needed for performing tests and validate the proposed WSN for traffic flow monitoring. The SIMPLE (Sicurezza ferroviaria e Infrastruttura per la Mobilità applicate ai Passaggi a LivEllo) project aims to achieve an integrated and safe management of railway level crossings in the Smart City, providing at same time value-added services to citizens in the urban mobility domain. The SIMPLE system consists in two main components: one principally directed to the safety aspects of the railway level crossing and the other one which concerns the collection of data regarding the mobility in neighboring metropolitan roads and the provisioning of related services, such as indication of alternative routes to the drivers.Source: Project report, SIMPLE, Deliverable D.5.1.2, pp.1–22, 2014
See at: CNR ExploRA
2014
Report
Unknown
SIMPLE - Report finale ed indirizzo per l'integrazione in laboratorio
Bertini G., Martinelli M., Magrini M., Moroni D., Pardini F., Pieri G., Salvetti O., Tampucci M.
This project report relates to SIMPLE Project http://simple.tuscany.it/ In this final deliverable we report the results of tests for the validation of the WSN for traffic flow monitoring. The SIMPLE (Sicurezza ferroviaria e Infrastruttura per la Mobilità applicate ai Passaggi a LivEllo) project aims to achieve an integrated and safe management of railway level crossings in the Smart City, providing at same time value-added services to citizens in the urban mobility domain. The SIMPLE system consists in two main components: one principally directed to the safety aspects of the railway level crossing and the other one which concerns the collection of data regarding the mobility in neighboring metropolitan roads and the provisioning of related services, such as indication of alternative routes to the drivers.Source: Project report, SIMPLE, Deliverable D.5.1.3, pp.1–23, 2014
Bertini G., Martinelli M., Magrini M., Moroni D., Pardini F., Pieri G., Salvetti O., Tampucci M.
This project report relates to SIMPLE Project http://simple.tuscany.it/ In this final deliverable we report the results of tests for the validation of the WSN for traffic flow monitoring. The SIMPLE (Sicurezza ferroviaria e Infrastruttura per la Mobilità applicate ai Passaggi a LivEllo) project aims to achieve an integrated and safe management of railway level crossings in the Smart City, providing at same time value-added services to citizens in the urban mobility domain. The SIMPLE system consists in two main components: one principally directed to the safety aspects of the railway level crossing and the other one which concerns the collection of data regarding the mobility in neighboring metropolitan roads and the provisioning of related services, such as indication of alternative routes to the drivers.Source: Project report, SIMPLE, Deliverable D.5.1.3, pp.1–23, 2014
See at: CNR ExploRA
2014
Conference article
Restricted
Personalized guidance for people empowerment and self-efficacy towards healthy lifestyles: The solution proposed in SEMEOTICONS
Colantonio S., Martinelli M., Salvetti O.
This paper discusses the problem of fostering lifestyle changes towards healthier habits by means of coaching and supportive messages in the frame of a tailored users' guidance. Starting from the importance of behavioural changes to foster wellbeing and disease prevention, the main aspects of tailored users' guidance are reviewed, with a brief overview of the methods presented in the literature. The solution proposed in the EU FP7 Project SEMEOTICONS is then presented, discussing its advantages with respect to the state of the art. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.Source: HEALTHINF 2014 - 7th International Conference on Health Informatics - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, pp. 583–590, Angers, France, 3-6 March 2014
Project(s): SEMEOTICONS
Colantonio S., Martinelli M., Salvetti O.
This paper discusses the problem of fostering lifestyle changes towards healthier habits by means of coaching and supportive messages in the frame of a tailored users' guidance. Starting from the importance of behavioural changes to foster wellbeing and disease prevention, the main aspects of tailored users' guidance are reviewed, with a brief overview of the methods presented in the literature. The solution proposed in the EU FP7 Project SEMEOTICONS is then presented, discussing its advantages with respect to the state of the art. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.Source: HEALTHINF 2014 - 7th International Conference on Health Informatics - Part of 7th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2014, pp. 583–590, Angers, France, 3-6 March 2014
Project(s): SEMEOTICONS
See at:
www.scitepress.org | CNR ExploRA
2014
Journal article
Open Access
Decision making concepts for the remote, personalized evaluation of COPD patients' health status
Colantonio S., Govoni L., Dellacà R. L., Martinelli M., Salvetti O., Vitacca M.
Introduction: This paper is part of the Focus Theme of Methods of Information in MEdicine on "Biosignal Interpretation: Advanced Methods for Neural Signals and Images". Objectives: This paper presents the main concepts of a decision making approach for the remote management of COPD patients based on the early detection of disease exacerbation episodes. Methods: An e-diary card is defined to evaluate a number of physiological variables and clinical parameters acquired remotely by means of wearable and environmental sensors deployed in patients' long-stay settings. The automatic evaluation of the card results in a so-called Chronic Status Index (CSI) whose computation is tailored to patients' specific manifestation of the disease (i.e., patient's phenotype). The decision support method relies on a parameterized analysis of CSI variations so as to early detect worsening changes, identify exacerbation severity and track the patterns of recovery. Results: A preliminary study, carried out in real settings with 30 COPD patients monitored at home, has shown the validity and sensitivity of the method proposed, which was effectively able to timely and correctly identify patients' critical situation. Conclusion: The preliminary results showed that the proposed e-diary card, which presents several novel features with respect to other solutions presented in the literature, can be practically used to remotely monitor COPD patients.Source: Methods of information in medicine (2014). doi:10.3414/ME13-02-0038
DOI: 10.3414/me13-02-0038
Project(s): SEMEOTICONS
Metrics:
Colantonio S., Govoni L., Dellacà R. L., Martinelli M., Salvetti O., Vitacca M.
Introduction: This paper is part of the Focus Theme of Methods of Information in MEdicine on "Biosignal Interpretation: Advanced Methods for Neural Signals and Images". Objectives: This paper presents the main concepts of a decision making approach for the remote management of COPD patients based on the early detection of disease exacerbation episodes. Methods: An e-diary card is defined to evaluate a number of physiological variables and clinical parameters acquired remotely by means of wearable and environmental sensors deployed in patients' long-stay settings. The automatic evaluation of the card results in a so-called Chronic Status Index (CSI) whose computation is tailored to patients' specific manifestation of the disease (i.e., patient's phenotype). The decision support method relies on a parameterized analysis of CSI variations so as to early detect worsening changes, identify exacerbation severity and track the patterns of recovery. Results: A preliminary study, carried out in real settings with 30 COPD patients monitored at home, has shown the validity and sensitivity of the method proposed, which was effectively able to timely and correctly identify patients' critical situation. Conclusion: The preliminary results showed that the proposed e-diary card, which presents several novel features with respect to other solutions presented in the literature, can be practically used to remotely monitor COPD patients.Source: Methods of information in medicine (2014). doi:10.3414/ME13-02-0038
DOI: 10.3414/me13-02-0038
Project(s): SEMEOTICONS
Metrics:
See at:
RE.PUBLIC@POLIMI Research Publications at Politecnico di Milano | Methods of Information in Medicine | Methods of Information in Medicine | methods.schattauer.de | CNR ExploRA
2014
Report
Unknown
SEMEOTICONS - Initial specification of system requirements and functionalities
Colantonio S., Coppini G., Giorgi D., Chiarugi F., D'Acunto M., Gimeno M., Giannakakis G., Larsson M., Louloudakis S., Martinelli M., Matuszewski B. J., Nicoletta A., Pagliei E., Pascali M. A., Pediaditis M., Randeberg L., Stromberg T., Vitali I.
This deliverable is the first report of WP2, "Hardware and software platform design". It gives the definition and initial specification of the system requirements for the development of the Wize Mirror, a multisensory platform, in the form of a mirror, able to detect and monitor over time facial signs correlated with cardio-metabolic risk.Source: Project report, SEMEOTICONS, Deliverable D2.1.1, 2014
Project(s): SEMEOTICONS
Colantonio S., Coppini G., Giorgi D., Chiarugi F., D'Acunto M., Gimeno M., Giannakakis G., Larsson M., Louloudakis S., Martinelli M., Matuszewski B. J., Nicoletta A., Pagliei E., Pascali M. A., Pediaditis M., Randeberg L., Stromberg T., Vitali I.
This deliverable is the first report of WP2, "Hardware and software platform design". It gives the definition and initial specification of the system requirements for the development of the Wize Mirror, a multisensory platform, in the form of a mirror, able to detect and monitor over time facial signs correlated with cardio-metabolic risk.Source: Project report, SEMEOTICONS, Deliverable D2.1.1, 2014
Project(s): SEMEOTICONS
See at: CNR ExploRA
2014
Report
Unknown
SEMEOTICONS - User centric applications and services
Vitali I., Nicoletta A., Colantonio S., Giorgi D., Martinelli M., Righi M., Coppini G., Marraccini P., Chiarugi F., Assimakopoulou C., Nazare J.
The user requirements, specified in this document, will guide the development of the first prototype version of the system, and are expected to be updated during the course of the project, in particular after the first Release of the applications and services at month 18.Source: Project report, SEMEOTICONS, Deliverable D7.1.1, 2014
Project(s): SEMEOTICONS
Vitali I., Nicoletta A., Colantonio S., Giorgi D., Martinelli M., Righi M., Coppini G., Marraccini P., Chiarugi F., Assimakopoulou C., Nazare J.
The user requirements, specified in this document, will guide the development of the first prototype version of the system, and are expected to be updated during the course of the project, in particular after the first Release of the applications and services at month 18.Source: Project report, SEMEOTICONS, Deliverable D7.1.1, 2014
Project(s): SEMEOTICONS
See at: CNR ExploRA
2014
Other
Unknown
Sito Web Linked Open Data 2014
Martinelli M., Signore O., Leporini B.
The W3C Office in Italy is organizing the Linked Open Data (LOD) event.
Martinelli M., Signore O., Leporini B.
The W3C Office in Italy is organizing the Linked Open Data (LOD) event.
See at: CNR ExploRA | www.w3c.it
2013
Journal article
Open Access
ARGO Sentinel: the mobile App for reporting oil spillages at sea
Martinelli M., Moroni D., Salvetti O.
We believe that the contribution of volunteers could play a fundamental role in monitoring and protecting the environment. People at sea sighting pollution caused by oil or hydrocarbon spillages can now immediately report this using a freely downloadable mobile application. At the Signals and Images Laboratory (SI-LAB) of the Institute of Information Science and Technology of the National Research Council of Pisa (ISTI-CNR), we have developed a Marine Information System (MIS) for monitoring vessel traffic and oil spills within the Mediterranean basin. The MIS collects and integrates geotagged data related to safety and health issues of the sea from various sources (satellites, optical sensors, electronic noses, autonomous underwater vehicle systems) and provides predictive models to assist the authorities in the management of emergencies at sea. An integrant part of the MIS is represented by the data that can be collected and shared by volunteers who want to collaborate in monitoring the status of the sea. For this purpose, we have developed ARGO Sentinel, a free application for smartphones with a Geolocation System.Source: ERCIM news 93 (2013): 43–44.
Project(s): ARGOMARINE
Martinelli M., Moroni D., Salvetti O.
We believe that the contribution of volunteers could play a fundamental role in monitoring and protecting the environment. People at sea sighting pollution caused by oil or hydrocarbon spillages can now immediately report this using a freely downloadable mobile application. At the Signals and Images Laboratory (SI-LAB) of the Institute of Information Science and Technology of the National Research Council of Pisa (ISTI-CNR), we have developed a Marine Information System (MIS) for monitoring vessel traffic and oil spills within the Mediterranean basin. The MIS collects and integrates geotagged data related to safety and health issues of the sea from various sources (satellites, optical sensors, electronic noses, autonomous underwater vehicle systems) and provides predictive models to assist the authorities in the management of emergencies at sea. An integrant part of the MIS is represented by the data that can be collected and shared by volunteers who want to collaborate in monitoring the status of the sea. For this purpose, we have developed ARGO Sentinel, a free application for smartphones with a Geolocation System.Source: ERCIM news 93 (2013): 43–44.
Project(s): ARGOMARINE
See at:
ercim-news.ercim.eu | CNR ExploRA
2013
Contribution to book
Open Access
Un sistema informativo al supporto dell'esplorazione subacquea e la localizzazione di nuovi siti archeologici = An informative system to support underwater exploration and the localization of new archaeological sites
Martinelli M., Righi M., Salvetti O., Tampucci M.
In the frame of the THESAURUS project 2011-2013, financed by Regione Toscana (Italy) (framework of the FAS program 2007-2013, CIPE Deliberation, Italian government, 166/2007) an informative system has been developed in order to manage information retrieved during underwater campaigns and off-line elaborations as well as the historical-archival data: the database contains data regarding shipwrecks and carried materials, finds (such as amphorae, coins, etc.) and other contents (oil, wine, etc.), general goods and related sources. Due to the heterogeneity of the managed data, the developed system exploits, as database, an hybrid infrastructure which is composed of a relational unit, an XML unit and a semantic unit. In an automated way, using data mining algorithms, this system is queried in order to obtain information related to a probability map finalized to localize new archaeological sites. Informative system is accessible by different field research groups. A dissemination Web site is also freely accessible in order to retrieve general information stored into the system.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 147–147. Roma: CNR, 2013
Martinelli M., Righi M., Salvetti O., Tampucci M.
In the frame of the THESAURUS project 2011-2013, financed by Regione Toscana (Italy) (framework of the FAS program 2007-2013, CIPE Deliberation, Italian government, 166/2007) an informative system has been developed in order to manage information retrieved during underwater campaigns and off-line elaborations as well as the historical-archival data: the database contains data regarding shipwrecks and carried materials, finds (such as amphorae, coins, etc.) and other contents (oil, wine, etc.), general goods and related sources. Due to the heterogeneity of the managed data, the developed system exploits, as database, an hybrid infrastructure which is composed of a relational unit, an XML unit and a semantic unit. In an automated way, using data mining algorithms, this system is queried in order to obtain information related to a probability map finalized to localize new archaeological sites. Informative system is accessible by different field research groups. A dissemination Web site is also freely accessible in order to retrieve general information stored into the system.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 147–147. Roma: CNR, 2013
See at:
www.edizioni.cnr.it | CNR ExploRA
2013
Report
Unknown
ARGOMARINE - WMS servers for ARGOMARINE products
Tampucci M., Pieri G., Moroni D., Salvetti O., Reggiannini M., Martinelli M., Colantonio S.
This report will provide the specification and description of the Web Map Service (WMS) servers implemented and used for the architecture of the Marine Information System (MIS), and for the delivery and usage of the ARGOMARINE products. The description of existing WMSs will be provided, along with the WMSs needed for the ARGOMARINE platform. The specification for the implementation, access, and delivery of data to and from the platform will be givenSource: Project report, ARGOMARINE, Deliverable 7.6, 2013
Project(s): ARGOMARINE
Tampucci M., Pieri G., Moroni D., Salvetti O., Reggiannini M., Martinelli M., Colantonio S.
This report will provide the specification and description of the Web Map Service (WMS) servers implemented and used for the architecture of the Marine Information System (MIS), and for the delivery and usage of the ARGOMARINE products. The description of existing WMSs will be provided, along with the WMSs needed for the ARGOMARINE platform. The specification for the implementation, access, and delivery of data to and from the platform will be givenSource: Project report, ARGOMARINE, Deliverable 7.6, 2013
Project(s): ARGOMARINE
See at: CNR ExploRA
2013
Report
Unknown
ARGOMARINE - Operational documentation for the ARGO-Geomatrix specific geopositioning devices
Pieri G., Moroni D., Tampucci M., Salvetti O., Reggiannini M., Colantonio S., Martinelli M.
This report provides Operational documentation for the specific geopositioning devices modelled, realized and integrated through the Integrated Communication System (ICS) into the ARGOMARINE platform. Following the design model described in D6.4 and the final integration performed, the documentation will describe the devices realized in the project and their operative specifications, according both to the data flow control model for the distributed computing devices and to the integrated model of the MIS architecture.Source: Project report, ARGOMARINE, Deliverable 6.7, 2013
Project(s): ARGOMARINE
Pieri G., Moroni D., Tampucci M., Salvetti O., Reggiannini M., Colantonio S., Martinelli M.
This report provides Operational documentation for the specific geopositioning devices modelled, realized and integrated through the Integrated Communication System (ICS) into the ARGOMARINE platform. Following the design model described in D6.4 and the final integration performed, the documentation will describe the devices realized in the project and their operative specifications, according both to the data flow control model for the distributed computing devices and to the integrated model of the MIS architecture.Source: Project report, ARGOMARINE, Deliverable 6.7, 2013
Project(s): ARGOMARINE
See at: CNR ExploRA
2013
Contribution to journal
Restricted
A Proactive System for Oil Spills and Marine Environment Monitoring
Tampucci M., Martinelli M., Moroni D., Pieri G., Salvetti O., Villa P.
Oil pollutions impact the environment, the economy and the quality of life for coastal inhabitants. The increasing importance of petroleum products and the list of oil spill events in last two decades raised the concern on maritime safety and environmental protection. Indeed, annually, on average 1,300,000 t of oil entered the oceans during the 1990s with tanker vessel spills accounting for 100,000 t, run-off 140,000 t, and pipeline leaks just 12,000 t. Aside from natural seeps, which contribute an estimated 600,000 t or ~45% of total emissions, other important sources include vessel operational discharges. For these reasons, there has been an increasing interest in frameworks for remotely detect oil spill at sea and several technological advances were made, especially under the propulsion of catastrophic events, like the Deep Water Horizon spill, during which several remote sensing technologies moved up to the technological readiness scale.Source: Bollettino di geofisica teorica ed applicata (Online) 54 (2013): 222–223.
Project(s): ARGOMARINE
Tampucci M., Martinelli M., Moroni D., Pieri G., Salvetti O., Villa P.
Oil pollutions impact the environment, the economy and the quality of life for coastal inhabitants. The increasing importance of petroleum products and the list of oil spill events in last two decades raised the concern on maritime safety and environmental protection. Indeed, annually, on average 1,300,000 t of oil entered the oceans during the 1990s with tanker vessel spills accounting for 100,000 t, run-off 140,000 t, and pipeline leaks just 12,000 t. Aside from natural seeps, which contribute an estimated 600,000 t or ~45% of total emissions, other important sources include vessel operational discharges. For these reasons, there has been an increasing interest in frameworks for remotely detect oil spill at sea and several technological advances were made, especially under the propulsion of catastrophic events, like the Deep Water Horizon spill, during which several remote sensing technologies moved up to the technological readiness scale.Source: Bollettino di geofisica teorica ed applicata (Online) 54 (2013): 222–223.
Project(s): ARGOMARINE
See at:
www2.ogs.trieste.it | CNR ExploRA
2013
Contribution to book
Open Access
Sistemi di comunicazione per il monitoraggio dell'inquinamento in mare = Communication systems for sea pollution monitoring
D'Acunto M., Martinelli M., Salvetti O.
With the aim to improve monitoring capabilities and tutelage of protected areas (e.g. marine parks), two instruments have been designed based on mobile communication technologies that allow to send alert in the presence of marine pollution. The instruments are: a device specifically designed to automatically send a default message to an operations center, and a mobile app which can be installed on all mobile phones (based on WindowsMobile OS) that allows to send a predefined or customized message, possibly supplying an image. The message contains both the coordinates of the sighting point obtained with the GPS, and a warning level. These tools have been utilised by volunteer sailors, identified with agreements (e.g. with the Italian Naval League Section of Pisa), who wish to actively participate in the monitoring of protected areas. The data collected are integrated with several different data (e.g. remotely detected) and especially cross-correlated one another to obtain an automatic validation tool.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 142–142. Roma: CNR, 2013
Project(s): ARGOMARINE
D'Acunto M., Martinelli M., Salvetti O.
With the aim to improve monitoring capabilities and tutelage of protected areas (e.g. marine parks), two instruments have been designed based on mobile communication technologies that allow to send alert in the presence of marine pollution. The instruments are: a device specifically designed to automatically send a default message to an operations center, and a mobile app which can be installed on all mobile phones (based on WindowsMobile OS) that allows to send a predefined or customized message, possibly supplying an image. The message contains both the coordinates of the sighting point obtained with the GPS, and a warning level. These tools have been utilised by volunteer sailors, identified with agreements (e.g. with the Italian Naval League Section of Pisa), who wish to actively participate in the monitoring of protected areas. The data collected are integrated with several different data (e.g. remotely detected) and especially cross-correlated one another to obtain an automatic validation tool.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 142–142. Roma: CNR, 2013
Project(s): ARGOMARINE
See at:
www.edizioni.cnr.it | CNR ExploRA
2013
Contribution to book
Open Access
Sistema informativo marino per il monitoraggio ambientale = Marine information system for environmental monitoring
Colantonio S., Martinelli M., Moroni D., Pieri G., Tampucci M., D'Acunto M., Salvetti O.
The ability to remotely detect and monitor oil spills at sea is becoming increasingly important due to the high demand of oilbased products. As a consequence, shipping routes are becoming very crowded by increasing the risk of oil slicks. In this frame, an integrated system based on remote sensing from various electronic sensors (SAR, hyperspectral, thermal, chemical/ physical, environmental, etc.) has been designed. This system, integrated and interoperable, represents a valuable monitoring tool for environmental emergency intervention, based on geopositioning tools and an ad-hoc communication infrastructure. The model is capable of transferring detected data seamlessly between different components of the information system (and their users), and to extract new knowledge from these. In this way, different data are gathered, in a consistent and usable form, in order to facilitate dynamic links between different models and analytical processes, which are required for environmental monitoring.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 91–91, 2013
Project(s): ARGOMARINE
Colantonio S., Martinelli M., Moroni D., Pieri G., Tampucci M., D'Acunto M., Salvetti O.
The ability to remotely detect and monitor oil spills at sea is becoming increasingly important due to the high demand of oilbased products. As a consequence, shipping routes are becoming very crowded by increasing the risk of oil slicks. In this frame, an integrated system based on remote sensing from various electronic sensors (SAR, hyperspectral, thermal, chemical/ physical, environmental, etc.) has been designed. This system, integrated and interoperable, represents a valuable monitoring tool for environmental emergency intervention, based on geopositioning tools and an ad-hoc communication infrastructure. The model is capable of transferring detected data seamlessly between different components of the information system (and their users), and to extract new knowledge from these. In this way, different data are gathered, in a consistent and usable form, in order to facilitate dynamic links between different models and analytical processes, which are required for environmental monitoring.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 91–91, 2013
Project(s): ARGOMARINE
See at:
www.edizioni.cnr.it | CNR ExploRA
2013
Contribution to book
Open Access
ARGO Sentinel, un'applicazione per la salvaguardia del mare = ARGO Sentinel, an application for sea's safeguarding
Cocco M., Martinelli M., Moroni D., Salvetti O.
Anyone who ploughs the sea for work or passion can report the presence of oil spills through ARGO Sentinel, a mobile application developed by the Institute of Science and Information Technology (ISTI) of CNR in Pisa, freely downloadable from Google Play at http://tinyurl.com/argosentinel. Thanks to this technology, who sights oil spills may quickly and easily signal with his own smartphone. The app provides two buttons and a message area to report and describe oil spills. The GPS automatically provides the coordinates. The signals sent using the application are transmitted to a Marine Information System, developed by ISTI, able to analyze and integrate mathematical models forecasting the evolution of pollution from data collected using various technologies such as satellites, sensored autonomous underwater vehicles, buoys providing meteorological and sea parameters, electronic noses, and automatic ships identification.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 97–97. Roma: CNR, 2013
Project(s): ARGOMARINE
Cocco M., Martinelli M., Moroni D., Salvetti O.
Anyone who ploughs the sea for work or passion can report the presence of oil spills through ARGO Sentinel, a mobile application developed by the Institute of Science and Information Technology (ISTI) of CNR in Pisa, freely downloadable from Google Play at http://tinyurl.com/argosentinel. Thanks to this technology, who sights oil spills may quickly and easily signal with his own smartphone. The app provides two buttons and a message area to report and describe oil spills. The GPS automatically provides the coordinates. The signals sent using the application are transmitted to a Marine Information System, developed by ISTI, able to analyze and integrate mathematical models forecasting the evolution of pollution from data collected using various technologies such as satellites, sensored autonomous underwater vehicles, buoys providing meteorological and sea parameters, electronic noses, and automatic ships identification.Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 97–97. Roma: CNR, 2013
Project(s): ARGOMARINE
See at:
www.edizioni.cnr.it | CNR ExploRA
2013
Conference article
Unknown
A proactive GIS infrastructure for environmental monitoring
Pieri G., Tampucci M., Martinelli M., Moroni D.
The impact of oil pollutions on coastal environment, concerns both the economy and the quality of life. The increasing importance of petroleum products and its maritime transportation raised the concern on navigation safety and environmental protection, leading to a major interest in frameworks for remotely detecting oil spill at sea. While many of the approaches have been focused on large oil spills, smaller ones and operational discharges in regional area received fairly less consideration. In this work we present a framework where, in addition to classical remote sensing the information is enriched with data collected in situ thanks to static and mobile sensors and thus leveraging on innovative methods for data correlation and fusion. The proposed GIS infrastructure is an integrated and interoperable system based on advanced sensing capabilities from a variety of electronic sensors along with geo-positioning tools, yet suitable for local authorities and stakeholders.Source: IWTC 17 - 17th International Water Technology Conference, pp. 255, Istanbul, Turkey, 5-7 November 2013
Project(s): ARGOMARINE
Pieri G., Tampucci M., Martinelli M., Moroni D.
The impact of oil pollutions on coastal environment, concerns both the economy and the quality of life. The increasing importance of petroleum products and its maritime transportation raised the concern on navigation safety and environmental protection, leading to a major interest in frameworks for remotely detecting oil spill at sea. While many of the approaches have been focused on large oil spills, smaller ones and operational discharges in regional area received fairly less consideration. In this work we present a framework where, in addition to classical remote sensing the information is enriched with data collected in situ thanks to static and mobile sensors and thus leveraging on innovative methods for data correlation and fusion. The proposed GIS infrastructure is an integrated and interoperable system based on advanced sensing capabilities from a variety of electronic sensors along with geo-positioning tools, yet suitable for local authorities and stakeholders.Source: IWTC 17 - 17th International Water Technology Conference, pp. 255, Istanbul, Turkey, 5-7 November 2013
Project(s): ARGOMARINE
See at: CNR ExploRA
2013
Journal article
Restricted
Thesaurus: un sistema per la conoscenza del patrimonio sommerso
La Monica D., Martinelli M., Salvetti O., Signore O., Tampucci M., Botarelli L., Costa S., Pace G., Papa C., Bargagliotti S., Franchi L., Casa G.
The goal of the project Thesaurus (TecnicHe per l'Esplorazione Sottomarina Archeologica mediante l'Utilizzo di Robot aUtonomi in Sciami) is to develop multidisciplinary technologies and scientific methodologies in the aim of pinpointing, conducting a census and documenting artifacts and underwater wrecks of archaeological or historical interest. After having considered other similar projects and information systems, we implemented a system for managing and retrieving data, where sensory data gathered through advanced technologies to explore sea bottom, as well as data acquired through historical, archaeological and documentary research, are stored.Source: SCIRES-IT (Roma) 3 (2013): 57–66. doi:10.2423/i22394303v3n1p57
DOI: 10.2423/i22394303v3n1p57
Metrics:
La Monica D., Martinelli M., Salvetti O., Signore O., Tampucci M., Botarelli L., Costa S., Pace G., Papa C., Bargagliotti S., Franchi L., Casa G.
The goal of the project Thesaurus (TecnicHe per l'Esplorazione Sottomarina Archeologica mediante l'Utilizzo di Robot aUtonomi in Sciami) is to develop multidisciplinary technologies and scientific methodologies in the aim of pinpointing, conducting a census and documenting artifacts and underwater wrecks of archaeological or historical interest. After having considered other similar projects and information systems, we implemented a system for managing and retrieving data, where sensory data gathered through advanced technologies to explore sea bottom, as well as data acquired through historical, archaeological and documentary research, are stored.Source: SCIRES-IT (Roma) 3 (2013): 57–66. doi:10.2423/i22394303v3n1p57
DOI: 10.2423/i22394303v3n1p57
Metrics:
See at:
caspur-ciberpublishing.it | CNR ExploRA
2013
Contribution to book
Unknown
ARGO-EDSS: sistema di supporto alle decisioni ambientali per la gestione di eventi inquinanti in ambienti marini = ARGO-EDSS: Environmental Decision Support System for the management of marine pollution Events
Colantonio S., Martinelli M., Salvetti O.
An Environmental Decision Support System, ARGO-EDSS, has been developed to aid the detection, prevention and management of oil spills in marine areas. The system manages heterogeneous data, acquired by a monitoring network of sensorized resources. The multisource data (satellite SAR images, environmental data acquired on buoys, marine traffic information) are processed to detect possible oil spills and, also, apply models for risk analysis, so as to identify areas with high risk of accident and improve their monitoring. To this end, ARGO-EDSS includes a so-called ARGOGeomatrix, which is a predictive model for Bayesian risk estimation. ARGO-EDSS is, also, meant to support the management of detected oil spills, by supplying specific suggestions according to intervention and recovery protocols, agreed with the Italian Coastguard Headquarters and the Coastguards of the National Park of the Tuscany Archipelago (Italy) and the National Marine Park of Zakynthos (Greece).Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 93–93. Roma: CNR, 2013
Project(s): ARGOMARINE
Colantonio S., Martinelli M., Salvetti O.
An Environmental Decision Support System, ARGO-EDSS, has been developed to aid the detection, prevention and management of oil spills in marine areas. The system manages heterogeneous data, acquired by a monitoring network of sensorized resources. The multisource data (satellite SAR images, environmental data acquired on buoys, marine traffic information) are processed to detect possible oil spills and, also, apply models for risk analysis, so as to identify areas with high risk of accident and improve their monitoring. To this end, ARGO-EDSS includes a so-called ARGOGeomatrix, which is a predictive model for Bayesian risk estimation. ARGO-EDSS is, also, meant to support the management of detected oil spills, by supplying specific suggestions according to intervention and recovery protocols, agreed with the Italian Coastguard Headquarters and the Coastguards of the National Park of the Tuscany Archipelago (Italy) and the National Marine Park of Zakynthos (Greece).Source: Le tecnologie del CNR per il mare / Marine Technologies, edited by Marco Faimail, pp. 93–93. Roma: CNR, 2013
Project(s): ARGOMARINE
See at: CNR ExploRA
2013
Conference article
Open Access
Monitoraggio integrato di inquinamento e traffico marittimo
Cocco M., Colantonio S., Magrini M., Martinelli M., Moroni D., Pascali M. A., Pieri G., Reggiannini M., Righi M., Salerno E., Salvetti O., Tampucci M.
The Signal and Image Laboratory at ISTI-CNR is carrying out studies in ICT technologies applied to marine environment protection and maritime traffic management. Several national and international projects have been supporting this activity, with institutional, industrial and academic collaborations. The laboratory's varied expertise includes mathematics, physics, engineering and computer science, with achievements in nearly all the aspects of capture, processing, analysis, and visualization of any analog or digital n-dimensional signal, supported by any medium and at any level of treatment, from the electrical/physical to the semantic/syntactic one.Source: Convegno sulle Attività di Ricerca e l'Innovazione per la Sicurezza, pp. 28–30, Roma, 14 maggio 2013
Project(s): ARGOMARINE
Cocco M., Colantonio S., Magrini M., Martinelli M., Moroni D., Pascali M. A., Pieri G., Reggiannini M., Righi M., Salerno E., Salvetti O., Tampucci M.
The Signal and Image Laboratory at ISTI-CNR is carrying out studies in ICT technologies applied to marine environment protection and maritime traffic management. Several national and international projects have been supporting this activity, with institutional, industrial and academic collaborations. The laboratory's varied expertise includes mathematics, physics, engineering and computer science, with achievements in nearly all the aspects of capture, processing, analysis, and visualization of any analog or digital n-dimensional signal, supported by any medium and at any level of treatment, from the electrical/physical to the semantic/syntactic one.Source: Convegno sulle Attività di Ricerca e l'Innovazione per la Sicurezza, pp. 28–30, Roma, 14 maggio 2013
Project(s): ARGOMARINE
See at:
security.cnr.it | CNR ExploRA
2013
Contribution to conference
Open Access
Historical place names: from archives to Linked Open Data
Fresta G., Martinelli M., Signore O.
Place names and administrative boundaries are changing over time. The importance of historical place names and administrative/religious boundaries is widely recognized by scholars. In implementing a geographic names repository, several issues emerge, especially if the considered time range spans several centuries. Historical data get value if they can be put in their context, and this feature requires a solid data infrastructure. The pilot study leading to TGN relied on a database structure. The "ontological" approach and the LOD paradigm are offering even bigger advantages: interoperability and openness are the most relevant, because any information modeled using Semantic Web standards (like RDF and OWL) can be freely accessed and referenced by any web application. In addition, information is not bounded to be hosted on a single site/repository, but can be distributed everywhere on the Web. The project currently under way aims to make historical place names available according to the LOD paradigm. The first data sample has been the one used in the previously recalled pilot study. Even if the ontology conforms to the "golden rules" for Linked Open Data, it is not fully satisfactory, as there is little reference to shared ontologies. Therefore, a new version of the ontology, with greater emphasis on events as the cause of changes, is currently under development. Combining several available ontologies (including CIDOC CRM) data will be represented as a set of triples, as required by the underlying RDF model, and made publicly available as LOD, while a HTML5 application will support navigation, querying and rendering of data. The appropriate framework to support map interaction as well as the possibility of supporting some kind of "social" contribution (comments and gathering additional information) are currently under investigation.Source: 6th International Congress Science and Technology for the Safeguard of Cultural Heritage in the Mediterranean Basin, Athens, 22-25 October 2013
DOI: 10.5281/zenodo.2552577
DOI: 10.5281/zenodo.2552576
Metrics:
Fresta G., Martinelli M., Signore O.
Place names and administrative boundaries are changing over time. The importance of historical place names and administrative/religious boundaries is widely recognized by scholars. In implementing a geographic names repository, several issues emerge, especially if the considered time range spans several centuries. Historical data get value if they can be put in their context, and this feature requires a solid data infrastructure. The pilot study leading to TGN relied on a database structure. The "ontological" approach and the LOD paradigm are offering even bigger advantages: interoperability and openness are the most relevant, because any information modeled using Semantic Web standards (like RDF and OWL) can be freely accessed and referenced by any web application. In addition, information is not bounded to be hosted on a single site/repository, but can be distributed everywhere on the Web. The project currently under way aims to make historical place names available according to the LOD paradigm. The first data sample has been the one used in the previously recalled pilot study. Even if the ontology conforms to the "golden rules" for Linked Open Data, it is not fully satisfactory, as there is little reference to shared ontologies. Therefore, a new version of the ontology, with greater emphasis on events as the cause of changes, is currently under development. Combining several available ontologies (including CIDOC CRM) data will be represented as a set of triples, as required by the underlying RDF model, and made publicly available as LOD, while a HTML5 application will support navigation, querying and rendering of data. The appropriate framework to support map interaction as well as the possibility of supporting some kind of "social" contribution (comments and gathering additional information) are currently under investigation.Source: 6th International Congress Science and Technology for the Safeguard of Cultural Heritage in the Mediterranean Basin, Athens, 22-25 October 2013
DOI: 10.5281/zenodo.2552577
DOI: 10.5281/zenodo.2552576
Metrics:
See at:
ZENODO | CNR ExploRA
2013
Contribution to conference
Open Access
ARGO Sentinel: an application for reporting oil spills at sea
Martinelli M., Moroni D., Salvetti O.
Within the European research project Argomarine (FP7-SST-2008-RTD-1-234096 "Argomarine- Automatic Oil-spill and geopositioning integrated in a marine information system") [1], coordinated by the Park Authority of the Tuscan Archipelago, the Signals and Images Laboratory (SI-LAB) of the Institute of Information Science and Technology of the National Research Council of Pisa has developed a Marine Information System (MIS) to detect, monitor and manage marine pollution events, ranging from major accidents to micro oil spillages. The MIS was conceived as a connected group of subsystems for performing data storage, decision- support, data mining and analysis over data warehouses, as well as a web-GIS portal for easy access and usage of products and services released to end-users. The main task of the MIS is to serve as a shell to integrating data, information and knowledge from various sources pertained to the marine areas of interest, by means of adequate Information Technology tools. An integrant part of the MIS is represented by the data that can be collected and shared by volunteers who want to collaborate in monitoring the status of the sea. For this purpose, we have developed ARGO Sentinel [2], a free application for smartphones with a Geolocation System (GPS).Two versions of the app have been implemented: an HTML5 version, running as an Opera widget, distributed only to the partners of the project, and a native Android (v2.2 or higher) publicly distributed because of its level of stability, and downloadable by anyone from Google Play. ARGO Sentinel was conceived on the intuition that the contribution of volunteers could play a fundamental role in monitoring and protecting the environment. Indeed, by using the app, whenever someone at sea sights signs of oil or hydrocarbon pollution they can immediately report this to the SI- LAB in Pisa. The information is recorded in the MIS and complements the data obtained from more traditional sources (eg remote sensing, sensorized buoys, AUVs...), improving the quality and coverage of marine monitoring, especially in protected areas. In this way we can build up a detailed map of the status of our seas. The app has been installed by about 1200 individuals all over the world. By integrating the alerts sent by the volunteers with all the other information sources collected in the MIS, a semi-automatic analysis eliminated the alerts identified as false positive. In addition, on the basis of the collected data, the MIS is capable of computing a real time dynamic map with estimated level of risk. The map draws the attention of the authorities to the particular areas where risky conditions are detected in order to foster a more accurate monitoring. Proactive alerting services can be buit on top of the dynamic risk map for issuing automatic warining messages. Our field tests demonstrate that the use of this new technology could be really important in combating pollution. Our experience suggests that this kind of technology can be applied to many other fields where environmental monitoring and safety is crucial.Source: Mobile Ghent, Gent, 23/10/2015.24/10/2015.25/10/2015.
Project(s): ARGOMARINE
Martinelli M., Moroni D., Salvetti O.
Within the European research project Argomarine (FP7-SST-2008-RTD-1-234096 "Argomarine- Automatic Oil-spill and geopositioning integrated in a marine information system") [1], coordinated by the Park Authority of the Tuscan Archipelago, the Signals and Images Laboratory (SI-LAB) of the Institute of Information Science and Technology of the National Research Council of Pisa has developed a Marine Information System (MIS) to detect, monitor and manage marine pollution events, ranging from major accidents to micro oil spillages. The MIS was conceived as a connected group of subsystems for performing data storage, decision- support, data mining and analysis over data warehouses, as well as a web-GIS portal for easy access and usage of products and services released to end-users. The main task of the MIS is to serve as a shell to integrating data, information and knowledge from various sources pertained to the marine areas of interest, by means of adequate Information Technology tools. An integrant part of the MIS is represented by the data that can be collected and shared by volunteers who want to collaborate in monitoring the status of the sea. For this purpose, we have developed ARGO Sentinel [2], a free application for smartphones with a Geolocation System (GPS).Two versions of the app have been implemented: an HTML5 version, running as an Opera widget, distributed only to the partners of the project, and a native Android (v2.2 or higher) publicly distributed because of its level of stability, and downloadable by anyone from Google Play. ARGO Sentinel was conceived on the intuition that the contribution of volunteers could play a fundamental role in monitoring and protecting the environment. Indeed, by using the app, whenever someone at sea sights signs of oil or hydrocarbon pollution they can immediately report this to the SI- LAB in Pisa. The information is recorded in the MIS and complements the data obtained from more traditional sources (eg remote sensing, sensorized buoys, AUVs...), improving the quality and coverage of marine monitoring, especially in protected areas. In this way we can build up a detailed map of the status of our seas. The app has been installed by about 1200 individuals all over the world. By integrating the alerts sent by the volunteers with all the other information sources collected in the MIS, a semi-automatic analysis eliminated the alerts identified as false positive. In addition, on the basis of the collected data, the MIS is capable of computing a real time dynamic map with estimated level of risk. The map draws the attention of the authorities to the particular areas where risky conditions are detected in order to foster a more accurate monitoring. Proactive alerting services can be buit on top of the dynamic risk map for issuing automatic warining messages. Our field tests demonstrate that the use of this new technology could be really important in combating pollution. Our experience suggests that this kind of technology can be applied to many other fields where environmental monitoring and safety is crucial.Source: Mobile Ghent, Gent, 23/10/2015.24/10/2015.25/10/2015.
Project(s): ARGOMARINE
See at:
cartogis.ugent.be | ISTI Repository | ISTI Repository | CNR ExploRA
2013
Conference article
Unknown
Progetto Thesaurus: un sistema informativo per il patrimonio culturale sommerso. Un database per l'archeologia subacquea
La Monica D., Martinelli M.
non disponibileSource: Conoscenza e tutela del patrimonio sommerso, pp. 79–88, Pisa, Italy, 11 dicembre 2012
DOI: 10.4399/97888548660415
Metrics:
La Monica D., Martinelli M.
non disponibileSource: Conoscenza e tutela del patrimonio sommerso, pp. 79–88, Pisa, Italy, 11 dicembre 2012
DOI: 10.4399/97888548660415
Metrics:
See at: CNR ExploRA | www.aracneeditrice.it
2013
Report
Unknown
THESAURUS - Rapporto conferenze e studi specialistici
Martinelli M., Tampucci M., Salvetti O.
Il rapporto contiene i dettagli delle conferenze e studi specialistici.Source: Project report, THESAURUS, Deliverable D6.3.1, 2013
Martinelli M., Tampucci M., Salvetti O.
Il rapporto contiene i dettagli delle conferenze e studi specialistici.Source: Project report, THESAURUS, Deliverable D6.3.1, 2013
See at: CNR ExploRA
2013
Software
Unknown
Sistema Informativo Thesaurus
Martinelli M., Righi M., Salvetti O., Tampucci M.
Il Sistema Informativo, sviluppato nell'ambito del progetto regionale THESAURUS, è in grado di archiviare in maniera intelligente e strutturata le informazioni di ordine umanistico inerenti a siti archeologici sommersi presenti nel mar Tirreno.
Martinelli M., Righi M., Salvetti O., Tampucci M.
Il Sistema Informativo, sviluppato nell'ambito del progetto regionale THESAURUS, è in grado di archiviare in maniera intelligente e strutturata le informazioni di ordine umanistico inerenti a siti archeologici sommersi presenti nel mar Tirreno.
See at: CNR ExploRA
2012
Report
Unknown
THESAURUS - Requisiti e specifiche funzionali del sistema per l'acquisizione e integrazione dati
Martinelli M., Pascali M. A., Reggiannini M., Righi M., Tampucci M., Colantonio S., Giorgi D., Magrini M., Moroni D., Pieri G., Salvetti O., La Monica D.
In this report the requirements and the functional specification of a data acquisition system for underwater archaeology are presented. The system is designed both to collect data from the sensing platform, constituted by a swarm of autonoumous underwater vehicles equipped with optical and acoustic imaging devices, and to organize information about archeological sites derived by previous surveys, archives and general bibliography.Source: Project report, Thesaurus, Deliverable 3.1, 2012
Martinelli M., Pascali M. A., Reggiannini M., Righi M., Tampucci M., Colantonio S., Giorgi D., Magrini M., Moroni D., Pieri G., Salvetti O., La Monica D.
In this report the requirements and the functional specification of a data acquisition system for underwater archaeology are presented. The system is designed both to collect data from the sensing platform, constituted by a swarm of autonoumous underwater vehicles equipped with optical and acoustic imaging devices, and to organize information about archeological sites derived by previous surveys, archives and general bibliography.Source: Project report, Thesaurus, Deliverable 3.1, 2012
See at: CNR ExploRA
2012
Report
Unknown
ARGOMARINE - Model for data flow control through the intranet and towards World Wide Web
Pieri G., Colantonio S., Moroni D., Tampucci M., Salvetti O., Martinelli M., Reggiannini M.
This report provides the Model specification regarding the data flow control within the Integrated Communication System (i.e. the intranet) itself, and towards the external Web. Guidelines and model specification for the general data flow control within the ARGOMARINE will be presented and discussed. Then, the needed services, implemented for the interaction with the platform and the management of global data flow, will be described in detail. Finally, bridges and interactions with the Human Interface and the ARGOMARINE Portal will be analysed and discussed.Source: Project report, ARGOMARINE, Deliverable 6.5, 2012
Project(s): ARGOMARINE
Pieri G., Colantonio S., Moroni D., Tampucci M., Salvetti O., Martinelli M., Reggiannini M.
This report provides the Model specification regarding the data flow control within the Integrated Communication System (i.e. the intranet) itself, and towards the external Web. Guidelines and model specification for the general data flow control within the ARGOMARINE will be presented and discussed. Then, the needed services, implemented for the interaction with the platform and the management of global data flow, will be described in detail. Finally, bridges and interactions with the Human Interface and the ARGOMARINE Portal will be analysed and discussed.Source: Project report, ARGOMARINE, Deliverable 6.5, 2012
Project(s): ARGOMARINE
See at: CNR ExploRA
2012
Journal article
Restricted
A Knowledge Editing Service for Multisource Data Management in Remote Health Monitoring
S. Colantonio, M. Esposito, M. Martinelli, G. De Pietro, O. Salvetti
Remote Health Monitoring (RHM) programmes are being increasingly developed to face the pervasive diffusion of chronic diseases. RHM strongly relies on ICT intelligent platforms devised to remotely acquire multisource data, process these according to specific domain knowledge and support clinical decision making. However, since RHM domain is continuously evolving and the pertinent knowledge is not yet consolidated, there is a great demand for services and tools that allow the encoded knowledge to be modified and enriched. This paper presents a Knowledge Editing Service (KES), which aims at enabling clinicians to insert novel knowledge, in a controlled fashion, into an ICT intelligent platform. The solution proposed is innovative since it addresses synergistically peculiar issues related to (i) RHM knowledge format; (ii) controlled editing patterns; (iii) knowledge verification and (iv) cooperative knowledge editing. None of the existing methods and systems for knowledge authoring tackles all these aspects at the same time. A prototype of the KES has been implemented and evaluated in real operational conditions.Source: IEEE transactions on information technology in biomedicine 16 (2012): 1096–1104. doi:10.1109/TITB.2012.2215622
DOI: 10.1109/titb.2012.2215622
Project(s): CHRONIOUS
Metrics:
S. Colantonio, M. Esposito, M. Martinelli, G. De Pietro, O. Salvetti
Remote Health Monitoring (RHM) programmes are being increasingly developed to face the pervasive diffusion of chronic diseases. RHM strongly relies on ICT intelligent platforms devised to remotely acquire multisource data, process these according to specific domain knowledge and support clinical decision making. However, since RHM domain is continuously evolving and the pertinent knowledge is not yet consolidated, there is a great demand for services and tools that allow the encoded knowledge to be modified and enriched. This paper presents a Knowledge Editing Service (KES), which aims at enabling clinicians to insert novel knowledge, in a controlled fashion, into an ICT intelligent platform. The solution proposed is innovative since it addresses synergistically peculiar issues related to (i) RHM knowledge format; (ii) controlled editing patterns; (iii) knowledge verification and (iv) cooperative knowledge editing. None of the existing methods and systems for knowledge authoring tackles all these aspects at the same time. A prototype of the KES has been implemented and evaluated in real operational conditions.Source: IEEE transactions on information technology in biomedicine 16 (2012): 1096–1104. doi:10.1109/TITB.2012.2215622
DOI: 10.1109/titb.2012.2215622
Project(s): CHRONIOUS
Metrics:
See at:
IEEE Transactions on Information Technology in Biomedicine | ieeexplore.ieee.org | CNR ExploRA
2012
Conference article
Restricted
Decision Support for the Remote Management of Chronic Patients
Colantonio S., De Pietro G., Esposito M., Machì A., Martinelli M., Salvetti O.
Chronic diseases may cause major limitations in patients' daily living due to acute or deterioration events, which can happen more or less frequently and, often, cannot be totally relieved, causing a worsening of patients' conditions. In the last years, a strong effort is being spent in the development of intelligent ICT applications for patients' telemonitoring, aimed at maximizing the quality of life of chronic patients by means of a regular collection of information about their status and actions in a long-stay setting. In this paper, a knowledge based decision support system is presented, which is aimed at aiding clinical professionals in managing chronic patients on a daily basis, by assessing their current status, helping face their worsening conditions, and preventing their exacerbation events.Source: MobiHealth 2011 - Wireless Mobile Communication and Healthcare. Second Internaional ICST Conference. Revised Selected Papers, pp. 38–45, Kos Island, Greece, October 5-7, 2011
DOI: 10.1007/978-3-642-29734-2_6
Project(s): CHRONIOUS
Metrics:
Colantonio S., De Pietro G., Esposito M., Machì A., Martinelli M., Salvetti O.
Chronic diseases may cause major limitations in patients' daily living due to acute or deterioration events, which can happen more or less frequently and, often, cannot be totally relieved, causing a worsening of patients' conditions. In the last years, a strong effort is being spent in the development of intelligent ICT applications for patients' telemonitoring, aimed at maximizing the quality of life of chronic patients by means of a regular collection of information about their status and actions in a long-stay setting. In this paper, a knowledge based decision support system is presented, which is aimed at aiding clinical professionals in managing chronic patients on a daily basis, by assessing their current status, helping face their worsening conditions, and preventing their exacerbation events.Source: MobiHealth 2011 - Wireless Mobile Communication and Healthcare. Second Internaional ICST Conference. Revised Selected Papers, pp. 38–45, Kos Island, Greece, October 5-7, 2011
DOI: 10.1007/978-3-642-29734-2_6
Project(s): CHRONIOUS
Metrics:
See at:
doi.org | link.springer.com | CNR ExploRA
2012
Software
Unknown
ARGO Sentinel
Martinelli M., Moroni D., Salvetti O.
Download the FREE app "ARGO Sentinel": You can help to monitor the health of your sea and the scientific research! Whoever at sea sights a pollution by oil or hydrocarbons will be able to immediately report the event to the Laboratory of Signals and Images SI-LAB (si.isti.cnr.it) of the Institute of Science and Information Technologies of the Italian National Research Council (CNR-ISTI) in Pisa, allowing the realization of a detailed map of the health of our seas. This information will be recorded in the Marine Information System (MIS) produced by CNR, able to collect data relating to critical and health issues of the sea from various sources (satellites, optical sensors, electronic noses, autonomous underwater vehicles, systems and geo-GPS geolocation ) and integrate and generate predictive models to assist the authorities in the management of emergencies. The application, in Italian, English and Greek, for smartphones (Android v2.1 or higher) with GPS, developed by CNR-ISTI within the European research project ARGOMARINE (www.argomarine.eu), is an easy to use tool designed for anyone, that for any reason, sail the seas. Allows you to send reports of suspected spills to the CNR specifying the precise point, severity and a description of the spill.Project(s): ARGOMARINE
Martinelli M., Moroni D., Salvetti O.
Download the FREE app "ARGO Sentinel": You can help to monitor the health of your sea and the scientific research! Whoever at sea sights a pollution by oil or hydrocarbons will be able to immediately report the event to the Laboratory of Signals and Images SI-LAB (si.isti.cnr.it) of the Institute of Science and Information Technologies of the Italian National Research Council (CNR-ISTI) in Pisa, allowing the realization of a detailed map of the health of our seas. This information will be recorded in the Marine Information System (MIS) produced by CNR, able to collect data relating to critical and health issues of the sea from various sources (satellites, optical sensors, electronic noses, autonomous underwater vehicles, systems and geo-GPS geolocation ) and integrate and generate predictive models to assist the authorities in the management of emergencies. The application, in Italian, English and Greek, for smartphones (Android v2.1 or higher) with GPS, developed by CNR-ISTI within the European research project ARGOMARINE (www.argomarine.eu), is an easy to use tool designed for anyone, that for any reason, sail the seas. Allows you to send reports of suspected spills to the CNR specifying the precise point, severity and a description of the spill.Project(s): ARGOMARINE
See at: play.google.com | CNR ExploRA
2012
Contribution to conference
Open Access
[Web and Automotive] shift into high gear on the Web - Intecs and ISTI-CNR position paper
Mambrini R., Cordiviola E., Magrini M., Martinelli M., Moroni D., Pieri G., Salvetti O.
Intecs is an italian large enterprise privately held that operates in the following domains: aerospace, defense, transportation, telecommunications. One of the most relevant activity for Intecs is the design and development of smart systems, based on the M2M paradigm, from the sensors to the application software passing through the communication middleware, applied to the automotive and mobility markets. Intecs is active both in industrial partnerships and in national and international R&D projects. Intecs is an ETSI (European Telecommunications Standards Institute) member, active in the ITS (Intelligent Transportation Systems) and M2M technical committes, is an AUTOSAR (AUTomotive Open Systems Architecture) premium member, a GENIVI member and also operates within the OneM2M.org. The Signals & Images Lab is a Research Laboratory of ISTI-CNR working in the fields of signal processing, image understanding and artificial vision. The Lab was born on the consideration that sensorial information is increasing its importance in both our daily life and the most advanced technological and scientific contexts. In particular, visual and audio information is becoming the most significant part of the global information to be processed, understood and manipulated. Nowadays, more than 35 people actively participate to the Lab, bringing together expertise ranging from computer science to mathematics, from physics to engineering. The general goal of the Lab is to increase the knowledge in the fields of signal processing, image understanding and artificial vision, in both theoretical and applicative contexts. This is achieved by studying and developing models, computer-based methods and machines for the formation, elaboration, analysis and recognition of images and signals, and by applying these methods and techniques to several sectors of the public and private society having strategic, scientific and technological interests. Carrying out these activities, the Lab has paid great attention to the development of semantic web technologies with the strong conviction that the web is the ideal platform for offering a rich range of benefits and smart services connected to the understanding of multimedia information. The Lab has participated to W3C activities including the Multimedia Semantics (MMSEM) Incubator Group. The Lab is currently involved in both Italian and European projects for infomobility and smart traffic management. The main focus is the design and development of innovative algorithms for real-time image understanding for the analysis of traffic flows and parking lot availability. The lab is interested in the possibility to integrate --thanks to the web-- real-time information derived from pervasive sensor nodes inside the car and scattered along roads and cities with traffic models for personalized services. Viewpoint: Transportation systems are evolving towards Intelligent Transportation Systems (ITS), where there is closed loop interaction between vehicles/drivers and the transportation infrastructure, as enabled by cooperative V2X communications and cellular networks. While some of the enabling technologies are entering their mature phase, e.g., traffic flow sensors and IEEE 802.11p, there is still the need of a complete integrated solution that can take the most benefits from a real-time analysis of the data gathered and appropriate reaction on the transportation system. This requires a higher level of intelligence to be integrated into the sensing and communication infrastructures, with decentralized aggregation and decision for robust and timely decisions to be taken. Finally, an additional and significant improvement can be brought by using tools that enable a pro-active decision making process, with the integration of predictive models running in real-time (even on board a car) alongside the reaction schemes. In this context, the web and HTML5 may be the most appropriate (and ready to be exploited) ingredients to perform such integration. The dependence on road transport in our daily lives has grown massively in recent years, in line with the problems arising from its use: permanent congestion on highways and urban centres, energy waste, CO2 emissions mass with consequent impact public health and high rates of accidents on the road networks. These challenges are even more pressing if we take into account the forecast growth in transport, as estimated by the Transport White Paper (March 2011) congestion costs will increase by about 50% by 2050. Therefore, the main objective derived from them is to ensure that the mobility and transport are: more efficient, safer and energetically sustainable. Given the magnitude of these challenges conventional approaches such as new road construction or expansion of existing ones, will not bring the desired results in due time. It is clear that innovative solutions are needed to achieve rapid advances imposed by the urgency of the needs identified. And that is where Intelligent Transportation Systems (ITS) should play the role in contributing to tangible results quickly and efficiently. Taking into account these considerations, we aim to address simultaneously the challenges raised and thus give a qualitative leap towards the future mobility. This raises the implementation of a platform to merge and integrate heterogeneous data sources into a common system and provide a set of advanced tools for control, monitoring, simulation and prediction of traffic, that achieves a more safe, sustainable and uncongested road. Today ITSs are very complex systems, made of several subsystems working in isolation to provide dedicated functions. Such subsystems are often closed, i.e. they do not provide interfaces for direct access to third parties, and vertical, i.e. they provide an end-to-end system from sensors/actuators to the human-machine interface (HMI) of the system. Therefore, the fusion of data provided by different sub-systems operating in the same area is very difficult in practice and is bound to become worse in the future as the ICT infrastructure in transportation systems become bigger and more complex. In this context, we believe that semantic web technologies may become an essential framework to foster interoperability and information sharing across different ITSs. Suggestions: Our vision is to make such interaction between heterogeneous data sources as seamless as possible, by providing a common layer for data distribution, and to leverage such opportunity to shift the intelligence for decision making from humans in control centres to machines distributed within the ICT infrastructure itself. This machine-to-machine (M2M) interaction between sensors (e.g., traffic flow) and actuators will be enabled with local scope, so as to keep it effective while being efficient and highly scalable. In such vision, the mobile phone may act as the hub connecting the world to the car and thus it might be able to: - Convey real time information from the outside to the car for personalized services, including better, safer and more efficient driving experience. For example, real-time traffic conditions gathered by external wireless sensor network (e.g. smart camera networks) may be exploited for context-aware driving - Share the context in which the car is moving with the environment, e.g. reporting actual travel time - Connect with the sensors on the car (eg fuel consumption) to provide personalized smart services (e.g. suggesting driving styles) by using an on-board decision support system Existing and emerging web technologies can give a strong push to the development of the above-mentioned functionalities.Source: W3C Web and Automotive Workshop, pp. 28–28, Rome, 1-15 November 2012
Mambrini R., Cordiviola E., Magrini M., Martinelli M., Moroni D., Pieri G., Salvetti O.
Intecs is an italian large enterprise privately held that operates in the following domains: aerospace, defense, transportation, telecommunications. One of the most relevant activity for Intecs is the design and development of smart systems, based on the M2M paradigm, from the sensors to the application software passing through the communication middleware, applied to the automotive and mobility markets. Intecs is active both in industrial partnerships and in national and international R&D projects. Intecs is an ETSI (European Telecommunications Standards Institute) member, active in the ITS (Intelligent Transportation Systems) and M2M technical committes, is an AUTOSAR (AUTomotive Open Systems Architecture) premium member, a GENIVI member and also operates within the OneM2M.org. The Signals & Images Lab is a Research Laboratory of ISTI-CNR working in the fields of signal processing, image understanding and artificial vision. The Lab was born on the consideration that sensorial information is increasing its importance in both our daily life and the most advanced technological and scientific contexts. In particular, visual and audio information is becoming the most significant part of the global information to be processed, understood and manipulated. Nowadays, more than 35 people actively participate to the Lab, bringing together expertise ranging from computer science to mathematics, from physics to engineering. The general goal of the Lab is to increase the knowledge in the fields of signal processing, image understanding and artificial vision, in both theoretical and applicative contexts. This is achieved by studying and developing models, computer-based methods and machines for the formation, elaboration, analysis and recognition of images and signals, and by applying these methods and techniques to several sectors of the public and private society having strategic, scientific and technological interests. Carrying out these activities, the Lab has paid great attention to the development of semantic web technologies with the strong conviction that the web is the ideal platform for offering a rich range of benefits and smart services connected to the understanding of multimedia information. The Lab has participated to W3C activities including the Multimedia Semantics (MMSEM) Incubator Group. The Lab is currently involved in both Italian and European projects for infomobility and smart traffic management. The main focus is the design and development of innovative algorithms for real-time image understanding for the analysis of traffic flows and parking lot availability. The lab is interested in the possibility to integrate --thanks to the web-- real-time information derived from pervasive sensor nodes inside the car and scattered along roads and cities with traffic models for personalized services. Viewpoint: Transportation systems are evolving towards Intelligent Transportation Systems (ITS), where there is closed loop interaction between vehicles/drivers and the transportation infrastructure, as enabled by cooperative V2X communications and cellular networks. While some of the enabling technologies are entering their mature phase, e.g., traffic flow sensors and IEEE 802.11p, there is still the need of a complete integrated solution that can take the most benefits from a real-time analysis of the data gathered and appropriate reaction on the transportation system. This requires a higher level of intelligence to be integrated into the sensing and communication infrastructures, with decentralized aggregation and decision for robust and timely decisions to be taken. Finally, an additional and significant improvement can be brought by using tools that enable a pro-active decision making process, with the integration of predictive models running in real-time (even on board a car) alongside the reaction schemes. In this context, the web and HTML5 may be the most appropriate (and ready to be exploited) ingredients to perform such integration. The dependence on road transport in our daily lives has grown massively in recent years, in line with the problems arising from its use: permanent congestion on highways and urban centres, energy waste, CO2 emissions mass with consequent impact public health and high rates of accidents on the road networks. These challenges are even more pressing if we take into account the forecast growth in transport, as estimated by the Transport White Paper (March 2011) congestion costs will increase by about 50% by 2050. Therefore, the main objective derived from them is to ensure that the mobility and transport are: more efficient, safer and energetically sustainable. Given the magnitude of these challenges conventional approaches such as new road construction or expansion of existing ones, will not bring the desired results in due time. It is clear that innovative solutions are needed to achieve rapid advances imposed by the urgency of the needs identified. And that is where Intelligent Transportation Systems (ITS) should play the role in contributing to tangible results quickly and efficiently. Taking into account these considerations, we aim to address simultaneously the challenges raised and thus give a qualitative leap towards the future mobility. This raises the implementation of a platform to merge and integrate heterogeneous data sources into a common system and provide a set of advanced tools for control, monitoring, simulation and prediction of traffic, that achieves a more safe, sustainable and uncongested road. Today ITSs are very complex systems, made of several subsystems working in isolation to provide dedicated functions. Such subsystems are often closed, i.e. they do not provide interfaces for direct access to third parties, and vertical, i.e. they provide an end-to-end system from sensors/actuators to the human-machine interface (HMI) of the system. Therefore, the fusion of data provided by different sub-systems operating in the same area is very difficult in practice and is bound to become worse in the future as the ICT infrastructure in transportation systems become bigger and more complex. In this context, we believe that semantic web technologies may become an essential framework to foster interoperability and information sharing across different ITSs. Suggestions: Our vision is to make such interaction between heterogeneous data sources as seamless as possible, by providing a common layer for data distribution, and to leverage such opportunity to shift the intelligence for decision making from humans in control centres to machines distributed within the ICT infrastructure itself. This machine-to-machine (M2M) interaction between sensors (e.g., traffic flow) and actuators will be enabled with local scope, so as to keep it effective while being efficient and highly scalable. In such vision, the mobile phone may act as the hub connecting the world to the car and thus it might be able to: - Convey real time information from the outside to the car for personalized services, including better, safer and more efficient driving experience. For example, real-time traffic conditions gathered by external wireless sensor network (e.g. smart camera networks) may be exploited for context-aware driving - Share the context in which the car is moving with the environment, e.g. reporting actual travel time - Connect with the sensors on the car (eg fuel consumption) to provide personalized smart services (e.g. suggesting driving styles) by using an on-board decision support system Existing and emerging web technologies can give a strong push to the development of the above-mentioned functionalities.Source: W3C Web and Automotive Workshop, pp. 28–28, Rome, 1-15 November 2012
See at:
www.w3.org | CNR ExploRA
2012
Contribution to book
Restricted
Ontology and algorithms integration for image analysis.
Colantonio S., Martinelli M., Salvetti O.
Analyzing an image means extracting a number of relevant features for describing, meaningfully and concisely, image content. Usually, the selection of the features to be extracted depends on the image based task that has to be performed. This problem-dependency has caused the flourish of number and number of features in the literature, with a substantial disorganization of their introduction and definition. The idea behind the work reported in this paper is to make a step towards the systematization of the image feature domain by defining an ontological model, in which features and other concepts, relevant to feature definition and computation, are formally defined and catalogued. To this end, the Image Feature Ontology has been defined and is herein described. Such an ontology has the peculiarity of cataloguing features, modelling the image analysis domain and being integrated with a library of image processing algorithms, thus supplying functionalities for supporting feature selection and computation.Source: Computational Intelligence for Multimedia Understanding, edited by E. Salerno, A.E. Çetin, O. Salvetti, pp. 17–29. Berlin: Springer, 2012
DOI: 10.1007/978-3-642-32436-9_2
Metrics:
Colantonio S., Martinelli M., Salvetti O.
Analyzing an image means extracting a number of relevant features for describing, meaningfully and concisely, image content. Usually, the selection of the features to be extracted depends on the image based task that has to be performed. This problem-dependency has caused the flourish of number and number of features in the literature, with a substantial disorganization of their introduction and definition. The idea behind the work reported in this paper is to make a step towards the systematization of the image feature domain by defining an ontological model, in which features and other concepts, relevant to feature definition and computation, are formally defined and catalogued. To this end, the Image Feature Ontology has been defined and is herein described. Such an ontology has the peculiarity of cataloguing features, modelling the image analysis domain and being integrated with a library of image processing algorithms, thus supplying functionalities for supporting feature selection and computation.Source: Computational Intelligence for Multimedia Understanding, edited by E. Salerno, A.E. Çetin, O. Salvetti, pp. 17–29. Berlin: Springer, 2012
DOI: 10.1007/978-3-642-32436-9_2
Metrics:
See at:
doi.org | www.springerlink.com | CNR ExploRA
2012
Conference article
Restricted
A decision making approach for the remote, personalized evaluation of COPD patients' health status
Colantonio S., Dellacà R. L., Govoni L., Martinelli M., Salvetti O., Vitacca M.
This paper presents a decision making approach for the remote management of COPD patients based on the early detection of disease exacerbation episodes. An e-diary card is defined to evaluate a number of physiological variables and clinical parameters acquired remotely by means of wearable and environmental sensors deployed in patients' long-stay settings. The automatic evaluation of the card results in a socalled Chronic Status Index (CSI) whose computation is tailored to patients' specific manifestation of the disease (i.e., patient's phenotype). The decision support method relies on a parameterized analysis of CSI variations so as to early detect worsening changes, identify exacerbation severity and track the patterns of recovery. A web-based service has been set up and simulation tests have shown the feasibility of the method. Validity and sensitivity are currently being evaluated in a trail study with 30 COPD patients, monitored at home.Source: BSI2012 - 7th International Workshop on Biosignal Interpretation, pp. 347–350, Como, Italy, 2-4 Luglio 2012
Project(s): CHRONIOUS
Colantonio S., Dellacà R. L., Govoni L., Martinelli M., Salvetti O., Vitacca M.
This paper presents a decision making approach for the remote management of COPD patients based on the early detection of disease exacerbation episodes. An e-diary card is defined to evaluate a number of physiological variables and clinical parameters acquired remotely by means of wearable and environmental sensors deployed in patients' long-stay settings. The automatic evaluation of the card results in a socalled Chronic Status Index (CSI) whose computation is tailored to patients' specific manifestation of the disease (i.e., patient's phenotype). The decision support method relies on a parameterized analysis of CSI variations so as to early detect worsening changes, identify exacerbation severity and track the patterns of recovery. A web-based service has been set up and simulation tests have shown the feasibility of the method. Validity and sensitivity are currently being evaluated in a trail study with 30 COPD patients, monitored at home.Source: BSI2012 - 7th International Workshop on Biosignal Interpretation, pp. 347–350, Como, Italy, 2-4 Luglio 2012
Project(s): CHRONIOUS
See at:
www.biomed.polimi.it | CNR ExploRA
2012
Conference article
Restricted
Thesaurus project: design of new autonomous underwater vehicles for documentation and protection of underwater archaeological sites.
Allotta B., Bargagliotti S., Botarelli L., Caiti A., Calabrò V., Casa G., Cocco M., Colantonio S., Colombo C., Costa S., Fanfani M., Franchi L., Gambogi P., Gualdesi L., La Monica D., Magrini M., Martinelli M., Moroni D., Munafò A., Pace G., Papa C., Pascali M. A., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
The Thesaurus Project, funded by the Regione Toscana, combines humanistic and technological research aiming at developing a new generation of cooperating Autonomous Underwater Vehicles and at documenting ancient and modern Tuscany shipwrecks. Technological research will allow performing an archaeological exploration mission through the use of a swarm of autonomous, smart and self-organizing underwater vehicles. Using acoustic communications, these vehicles will be able to exchange each other data related to the state of the exploration and then to adapt their behavior to improve the survey. The archival research and archaeological survey aim at collecting all reports related to the underwater evidences and the events of sinking occurred in the sea of Tuscany. The collected data will be organized in a specific database suitably modeled.Source: Progress in Cultural Heritage Preservation. 4th International Conference, pp. 486–493, Limassol, Cyprus, 29 October - 3 November 2012
DOI: 10.1007/978-3-642-34234-9_50
Metrics:
Allotta B., Bargagliotti S., Botarelli L., Caiti A., Calabrò V., Casa G., Cocco M., Colantonio S., Colombo C., Costa S., Fanfani M., Franchi L., Gambogi P., Gualdesi L., La Monica D., Magrini M., Martinelli M., Moroni D., Munafò A., Pace G., Papa C., Pascali M. A., Pieri G., Reggiannini M., Righi M., Salvetti O., Tampucci M.
The Thesaurus Project, funded by the Regione Toscana, combines humanistic and technological research aiming at developing a new generation of cooperating Autonomous Underwater Vehicles and at documenting ancient and modern Tuscany shipwrecks. Technological research will allow performing an archaeological exploration mission through the use of a swarm of autonomous, smart and self-organizing underwater vehicles. Using acoustic communications, these vehicles will be able to exchange each other data related to the state of the exploration and then to adapt their behavior to improve the survey. The archival research and archaeological survey aim at collecting all reports related to the underwater evidences and the events of sinking occurred in the sea of Tuscany. The collected data will be organized in a specific database suitably modeled.Source: Progress in Cultural Heritage Preservation. 4th International Conference, pp. 486–493, Limassol, Cyprus, 29 October - 3 November 2012
DOI: 10.1007/978-3-642-34234-9_50
Metrics:
See at:
doi.org | link.springer.com | CNR ExploRA
2012
Contribution to conference
Restricted
Thesaurus project. Planning and Development of new aUVs for underwater archaeological research
Pace G., Botarelli L., Bargagliotti S., Casa G., Costa S., Franchi L., La Monica D., Papa C., Allotta B., Cait A., Calabrò V., Cocco M., Gualdesi L., Munafò A., Colombo C., Salvetti O., Fanfani M., Martinelli M., Pascali M. A., Reggiannini M., Righi M., Tampucci M.
not availableSource: EAA 2012 - European Association of Archaeologists. 18th Annual Meeting, pp. 299–299, Helsinki, Finland, 29 August - 1 September 2012
Pace G., Botarelli L., Bargagliotti S., Casa G., Costa S., Franchi L., La Monica D., Papa C., Allotta B., Cait A., Calabrò V., Cocco M., Gualdesi L., Munafò A., Colombo C., Salvetti O., Fanfani M., Martinelli M., Pascali M. A., Reggiannini M., Righi M., Tampucci M.
not availableSource: EAA 2012 - European Association of Archaeologists. 18th Annual Meeting, pp. 299–299, Helsinki, Finland, 29 August - 1 September 2012
See at:
e-a-a.org | CNR ExploRA
2012
Journal article
Closed Access
Progetto Thesaurus
B. Allotta, A. Caiti, V. Calabrò, M. Cocco, L. Gualdesi, A. Munafò, C. Colombo, O. Salvetti, M. Fanfani, M. Martinelli, M. A. Pascali, M. Reggiannini, M. Righi, M. Tampucci. S. Bargagliotti, L. Botarelli, G. Casa, S. Costa, L. Franchi, G. Pace, C. Papa
The Thesaurus Project, funded by the Regione Toscana, combines humanistic and technological research aiming at developing a new generation of cooperating Autonomous Underwater Vehicles and at documenting ancient and modern Tuscany shipwrecks. Technological research will allow performing an archaeological exploration mission through the use of a swarm of autonomous, smart and self-organizing underwater vehicles. Using acoustic communications, these vehicles will be able to exchange each other data related to the state of the exploration and then to adapt their behavior to improve the survey. The archival research and archaeological survey aim at collecting all reports related to the underwater evidences and the events of sinking occurred in the sea of Tuscany. The collected data will be organized in a specific database suitably modeled.Source: IEEE LCS L'archelogo subacueo, anno XVIII, n. 1 (52), 2012, pp. 4-5 (2012). doi:10.1007/978-3-642-34234-9_50
DOI: 10.1007/978-3-642-34234-9_50
Metrics:
B. Allotta, A. Caiti, V. Calabrò, M. Cocco, L. Gualdesi, A. Munafò, C. Colombo, O. Salvetti, M. Fanfani, M. Martinelli, M. A. Pascali, M. Reggiannini, M. Righi, M. Tampucci. S. Bargagliotti, L. Botarelli, G. Casa, S. Costa, L. Franchi, G. Pace, C. Papa
The Thesaurus Project, funded by the Regione Toscana, combines humanistic and technological research aiming at developing a new generation of cooperating Autonomous Underwater Vehicles and at documenting ancient and modern Tuscany shipwrecks. Technological research will allow performing an archaeological exploration mission through the use of a swarm of autonomous, smart and self-organizing underwater vehicles. Using acoustic communications, these vehicles will be able to exchange each other data related to the state of the exploration and then to adapt their behavior to improve the survey. The archival research and archaeological survey aim at collecting all reports related to the underwater evidences and the events of sinking occurred in the sea of Tuscany. The collected data will be organized in a specific database suitably modeled.Source: IEEE LCS L'archelogo subacueo, anno XVIII, n. 1 (52), 2012, pp. 4-5 (2012). doi:10.1007/978-3-642-34234-9_50
DOI: 10.1007/978-3-642-34234-9_50
Metrics:
See at:
doi.org | link.springer.com | CNR ExploRA
2012
Other
Unknown
ARGO Sentinel
Martinelli M., Moroni D., Salvetti O.
Based on the idea that contribution of volunteers might play a fundamental role in monitoring and protecting the environment, CNR-ISTI designed and developed a mobile application in order to allow people to timely report oil spills. By downloading the FREE app "ARGO Sentinel" volunteers are helping to monitor the health of our seas and the scientific research by demonstrating that the use of this new technology could be really important to combat pollution. Moreover this experiment suggests that this kind of technology can be applied in many other fields. Whoever at sea sights pollution by oil or hydrocarbons is now able to immediately report the event to the Laboratory of Signals and Images SI-LAB (si.isti.cnr.it) of the Institute of Science and Information Technologies of the Italian National Research Council (CNR-ISTI) in Pisa, allowing the realization of a detailed map of the health of our seas. This information is recorded in the Marine Information System (MIS) produced by CNR, able to collect geotagged data relating to critical and health issues of the sea from various sources (satellites, optical sensors, electronic noses, autonomous underwater vehicles systems) and integrate and generate predictive models to assist the authorities in the management of emergencies at sea. The application, distributed in Italian, English and Greek languages, for smartphones equipped of GPS is an easy to use tool designed for anyone, that for any reason, sail the seas. It allows you to send reports of suspected spills to the CNR specifying the precise point, severity and a description of the spill.Project(s): ARGOMARINE
Martinelli M., Moroni D., Salvetti O.
Based on the idea that contribution of volunteers might play a fundamental role in monitoring and protecting the environment, CNR-ISTI designed and developed a mobile application in order to allow people to timely report oil spills. By downloading the FREE app "ARGO Sentinel" volunteers are helping to monitor the health of our seas and the scientific research by demonstrating that the use of this new technology could be really important to combat pollution. Moreover this experiment suggests that this kind of technology can be applied in many other fields. Whoever at sea sights pollution by oil or hydrocarbons is now able to immediately report the event to the Laboratory of Signals and Images SI-LAB (si.isti.cnr.it) of the Institute of Science and Information Technologies of the Italian National Research Council (CNR-ISTI) in Pisa, allowing the realization of a detailed map of the health of our seas. This information is recorded in the Marine Information System (MIS) produced by CNR, able to collect geotagged data relating to critical and health issues of the sea from various sources (satellites, optical sensors, electronic noses, autonomous underwater vehicles systems) and integrate and generate predictive models to assist the authorities in the management of emergencies at sea. The application, distributed in Italian, English and Greek languages, for smartphones equipped of GPS is an easy to use tool designed for anyone, that for any reason, sail the seas. It allows you to send reports of suspected spills to the CNR specifying the precise point, severity and a description of the spill.Project(s): ARGOMARINE
See at: CNR ExploRA
2011
Conference article
Unknown
A marine information system for environmental monitoring
Cocco M., Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
The ability to remotely detect and monitor oil spills at sea is becoming increasingly important due to the high demand of oil based products. As a consequence, shipping routes are becoming very crowded and the likelihood of oil slicks occurring is also increasing. In this frame, a fully integrated remote sensing system can act as a valuable monitoring tool. We propose an integrated and interoperable system able to monitor ship traffic and marine operators, using sensing capabilities from a variety of electronic sensors, along with geo-positioning tools, and through a communication infrastructure. Our model is capable of transferring data, freely and seamlessly, between different elements of the information systems (and their users). In this way different data are brought together, easily and in a consistent and usable form, in order to facilitate dynamic links between different models and analytical processes.Source: The Tenth International Conference on the Mediterranean Coastal Environment, MEDCOAST 11, pp. 189–200, Rodi, Greece, 25-29 Ottobre 2011
Cocco M., Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
The ability to remotely detect and monitor oil spills at sea is becoming increasingly important due to the high demand of oil based products. As a consequence, shipping routes are becoming very crowded and the likelihood of oil slicks occurring is also increasing. In this frame, a fully integrated remote sensing system can act as a valuable monitoring tool. We propose an integrated and interoperable system able to monitor ship traffic and marine operators, using sensing capabilities from a variety of electronic sensors, along with geo-positioning tools, and through a communication infrastructure. Our model is capable of transferring data, freely and seamlessly, between different elements of the information systems (and their users). In this way different data are brought together, easily and in a consistent and usable form, in order to facilitate dynamic links between different models and analytical processes.Source: The Tenth International Conference on the Mediterranean Coastal Environment, MEDCOAST 11, pp. 189–200, Rodi, Greece, 25-29 Ottobre 2011
See at: CNR ExploRA
2011
Conference article
Unknown
Geomatrix model as new tool for improving oil spill surveillance
Cocco M., Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
The paper presents the Geomatrix model. The model connects the geopositioning data with inferential methods for improving the surveillance of oil spill on large marine areasSource: CICC-ITOE, International Conference on Ocean Engineering, pp. 164, Macau, China, 6 Marzo 2011
Cocco M., Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
The paper presents the Geomatrix model. The model connects the geopositioning data with inferential methods for improving the surveillance of oil spill on large marine areasSource: CICC-ITOE, International Conference on Ocean Engineering, pp. 164, Macau, China, 6 Marzo 2011
See at: CNR ExploRA
2011
Conference article
Unknown
Knowledge based decision support for the management of chronic patients
Colantonio S., Martinelli M., Salvetti O., De Pietro G., Esposito., Machì A.
Due to the current socio-economic impact of chronic diseases, a strong effort is being spent in the development of ICT applications able to support a new care paradigm specialized for chronic patients. Such applications are mainly based on patients' telemonitoring for the collection of a number of relevant physiological parameters aimed at identifying and preventing acute events, while maximizing patients' quality of life and reducing clinical costs. The most advanced and challenging features of these ICT applications are intelligent services devoted to the interpretation of monitored patients' data for supporting clinicians in their routine management of chronic patients. In this paper, a Knowledge-based Clinical Decision Support System (KB-CDSS) is presented, which is aimed at aiding clinical professionals in managing chronic patients on a daily basis, by assessing their current status, helping face their worsening conditions, and preventing disease exacerbation events. The CDSS has been developed by encoding the relevant knowledge elicited from clinicians who have a large experience in patients' monitoring. A formalism based on ontologies and rules was selected to build the Knowledge Base according to a scenario based approach. The system is currently under validation for the management of real clinical cases.Source: International Conference on Knowledge Engineering and Ontology Development, KEOD 2011, pp. 220–225, Paris, 26-29 October 2011
Project(s): CHRONIOUS
Colantonio S., Martinelli M., Salvetti O., De Pietro G., Esposito., Machì A.
Due to the current socio-economic impact of chronic diseases, a strong effort is being spent in the development of ICT applications able to support a new care paradigm specialized for chronic patients. Such applications are mainly based on patients' telemonitoring for the collection of a number of relevant physiological parameters aimed at identifying and preventing acute events, while maximizing patients' quality of life and reducing clinical costs. The most advanced and challenging features of these ICT applications are intelligent services devoted to the interpretation of monitored patients' data for supporting clinicians in their routine management of chronic patients. In this paper, a Knowledge-based Clinical Decision Support System (KB-CDSS) is presented, which is aimed at aiding clinical professionals in managing chronic patients on a daily basis, by assessing their current status, helping face their worsening conditions, and preventing disease exacerbation events. The CDSS has been developed by encoding the relevant knowledge elicited from clinicians who have a large experience in patients' monitoring. A formalism based on ontologies and rules was selected to build the Knowledge Base according to a scenario based approach. The system is currently under validation for the management of real clinical cases.Source: International Conference on Knowledge Engineering and Ontology Development, KEOD 2011, pp. 220–225, Paris, 26-29 October 2011
Project(s): CHRONIOUS
See at: CNR ExploRA
2011
Report
Open Access
Model and functional specification of the decision support system
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
This document defines the functional specifications of ARGOMARINE Environmental Decision Support System and describes the main models the system relies on. The main components of the systems are presented, along with the instruments to develop them. A roadmap for the implementation of the decision support system is reported as well.Source: Project report, 2011
Project(s): ARGOMARINE
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
This document defines the functional specifications of ARGOMARINE Environmental Decision Support System and describes the main models the system relies on. The main components of the systems are presented, along with the instruments to develop them. A roadmap for the implementation of the decision support system is reported as well.Source: Project report, 2011
Project(s): ARGOMARINE
See at:
ISTI Repository | CNR ExploRA
2011
Report
Unknown
Analysis model, and specification for the interface with the ICS
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
This report will describe the analysis model and the specification of the various needed interfaces between the Integrated Communication System and the Marine Information System. The interfaces will be specified according to what defined in the D7.1 representing the architecture of the MIS, for what concern the incoming data from the external subsystems, and guaranteeing the needed interfaces for the synchronization.Source: ISTI Technical reports, 2011
Project(s): ARGOMARINE
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
This report will describe the analysis model and the specification of the various needed interfaces between the Integrated Communication System and the Marine Information System. The interfaces will be specified according to what defined in the D7.1 representing the architecture of the MIS, for what concern the incoming data from the external subsystems, and guaranteeing the needed interfaces for the synchronization.Source: ISTI Technical reports, 2011
Project(s): ARGOMARINE
See at: CNR ExploRA
2011
Report
Unknown
Il sistema informatico ALFEA
Martinelli M., Mannocci M., Salvetti O.
This report details the situation prior the contract between the CNR-ISTI and ALFEA SpA and final results of the activity. The research program is designed to detect the critical factors: a) the customer's computer system, its strengths and weaknesses, highlighting potential problems and opportunities b) its management process This report consists of two parts: the first part the management project is evaluated by examining the various stages of the production process, the internal organization of operation and work, the second part is aimed at assessing the degree of appropriateness of the technologies used.Source: Project report, ALFEA, 2011
Martinelli M., Mannocci M., Salvetti O.
This report details the situation prior the contract between the CNR-ISTI and ALFEA SpA and final results of the activity. The research program is designed to detect the critical factors: a) the customer's computer system, its strengths and weaknesses, highlighting potential problems and opportunities b) its management process This report consists of two parts: the first part the management project is evaluated by examining the various stages of the production process, the internal organization of operation and work, the second part is aimed at assessing the degree of appropriateness of the technologies used.Source: Project report, ALFEA, 2011
See at: CNR ExploRA
2011
Software
Unknown
Mis - Marine Information system
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
This system was born from the outcomes of the FP7 project ARGOMARINE. Marine Information System is able to monitor ship traffic and marine operators by integrating heterogeneous signals and data through sensing capabilities from a variety of electronic sensors, along with geo-positioning tools, and through a communication infrastructure. This system is able to transfer the integrated data, freely and seamlessly, between different elements of the system itself (and their users). The system also provides a set of decision support services capable of performing functionalities which can act as a support for decision makers.
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
This system was born from the outcomes of the FP7 project ARGOMARINE. Marine Information System is able to monitor ship traffic and marine operators by integrating heterogeneous signals and data through sensing capabilities from a variety of electronic sensors, along with geo-positioning tools, and through a communication infrastructure. This system is able to transfer the integrated data, freely and seamlessly, between different elements of the system itself (and their users). The system also provides a set of decision support services capable of performing functionalities which can act as a support for decision makers.
See at: CNR ExploRA
2010
Journal article
Restricted
Decision support in heart failure through processing of electro- and echocardiograms
Chiarugi F., Colantonio S., Emmanouilidou D., Martinelli M., Moroni D., Salvetti O.
Objective: Signal and imaging investigations are currently key components in the diagnosis, prognosis and follow up of heart diseases. Nowadays, the need for more efficient, cost-effective and personalised care has led to a renaissance of clinical decision support systems (CDSSs). The purpose of this paper is to present an effective way of achieving a high-level integration of signal and image processing methods in the general process of care, by means of a clinical decision support system, and to discuss the advantages of such an approach. From the wide range of heart diseases, heart failure, whose complexity best highlights the benefits of this integration, has been selected. Methods: After an analysis of users' needs and expectations, significant and suitably designed image and signal processing algorithms are introduced to objectively and reliably evaluate important features involved in decisional problems in the heart failure domain. Then, a CDSS is conceived so as to combine the domain knowledge with advanced analytical tools for data processing. In particular, the relevant and significant medical knowledge and experts' knowhow are formalised according to an ontological formalism, suitably augmented with a base of rules for inferential reasoning. Results: The proposed methods were tested and evaluated in the daily practice of the physicians operating at the Department of Cardiology, University Magna Graecia, Catanzaro, Italy, on a population of 79 patients. Different scenarios, involving decisional problems based on the analysis of biomedical signals and images, were considered. In these scenarios, after some training and 3 months of use, the CDSS was able to provide important and useful suggestions in routine workflows, by integrating the clinical parameters computed through the developed methods for echocardiographic image segmentation and the algorithms for electrocardiography processing. Conclusions: The CDSS allows the integration of signal and image procSource: Artificial intelligence in medicine (Print) 50 (2010): 95–104. doi:10.1016/j.artmed.2010.05.001
DOI: 10.1016/j.artmed.2010.05.001
Metrics:
Chiarugi F., Colantonio S., Emmanouilidou D., Martinelli M., Moroni D., Salvetti O.
Objective: Signal and imaging investigations are currently key components in the diagnosis, prognosis and follow up of heart diseases. Nowadays, the need for more efficient, cost-effective and personalised care has led to a renaissance of clinical decision support systems (CDSSs). The purpose of this paper is to present an effective way of achieving a high-level integration of signal and image processing methods in the general process of care, by means of a clinical decision support system, and to discuss the advantages of such an approach. From the wide range of heart diseases, heart failure, whose complexity best highlights the benefits of this integration, has been selected. Methods: After an analysis of users' needs and expectations, significant and suitably designed image and signal processing algorithms are introduced to objectively and reliably evaluate important features involved in decisional problems in the heart failure domain. Then, a CDSS is conceived so as to combine the domain knowledge with advanced analytical tools for data processing. In particular, the relevant and significant medical knowledge and experts' knowhow are formalised according to an ontological formalism, suitably augmented with a base of rules for inferential reasoning. Results: The proposed methods were tested and evaluated in the daily practice of the physicians operating at the Department of Cardiology, University Magna Graecia, Catanzaro, Italy, on a population of 79 patients. Different scenarios, involving decisional problems based on the analysis of biomedical signals and images, were considered. In these scenarios, after some training and 3 months of use, the CDSS was able to provide important and useful suggestions in routine workflows, by integrating the clinical parameters computed through the developed methods for echocardiographic image segmentation and the algorithms for electrocardiography processing. Conclusions: The CDSS allows the integration of signal and image procSource: Artificial intelligence in medicine (Print) 50 (2010): 95–104. doi:10.1016/j.artmed.2010.05.001
DOI: 10.1016/j.artmed.2010.05.001
Metrics:
See at:
Artificial Intelligence in Medicine | www.sciencedirect.com | CNR ExploRA
2010
Journal article
Unknown
A knowledge-based infrastructure for the management of diagnostic imaging procedures in the heart failure domain
Martinelli M., Moroni D., Salvetti O., Tampucci M.
Within the European HEARTFAID Project, an integrated platform of services has been developed to assist chronic heart failure stakeholders in their routine workflow and to provide an optimal management of heart failure patients, by exploiting the most advanced technologies, innovative methods for diagnostic data processing, and significant and up-to-date knowledge, suitably formalized. Since signal and imaging investigations are currently a basic step of the diagnostic, prognostic and follow-up processes of heart diseases, the platform has been designed so as to include an advanced system for the management, storage and deployment of the related heterogeneous information, ranging from the raw data - consisting in 1D signals, 2D/3D images and image sequences - to the extracted quantitative parameters and, finally, to their interpretation. The purpose of this paper is to describe an effective way to obtain an integrated management of all the data and transactions across the distributed repositories necessary to deal with such workflows. Intelligent knowledge-based services are also provided for assisting - in a holistic approach - all the decision making processes related to those data. In particular, among the several functionalities provided by HEARTFAID platform, the paper focuses on the integration of echocardiography workflows. To this end, a suitably developed standard-compliant IT infrastructure called EchoCardio Lab is introduced and architectural details of its components are given.Source: TRANSACTIONS ON MASS-DATA ANALYSIS OF IMAGES AND SIGNALS 2 (2010): 3–18.
Martinelli M., Moroni D., Salvetti O., Tampucci M.
Within the European HEARTFAID Project, an integrated platform of services has been developed to assist chronic heart failure stakeholders in their routine workflow and to provide an optimal management of heart failure patients, by exploiting the most advanced technologies, innovative methods for diagnostic data processing, and significant and up-to-date knowledge, suitably formalized. Since signal and imaging investigations are currently a basic step of the diagnostic, prognostic and follow-up processes of heart diseases, the platform has been designed so as to include an advanced system for the management, storage and deployment of the related heterogeneous information, ranging from the raw data - consisting in 1D signals, 2D/3D images and image sequences - to the extracted quantitative parameters and, finally, to their interpretation. The purpose of this paper is to describe an effective way to obtain an integrated management of all the data and transactions across the distributed repositories necessary to deal with such workflows. Intelligent knowledge-based services are also provided for assisting - in a holistic approach - all the decision making processes related to those data. In particular, among the several functionalities provided by HEARTFAID platform, the paper focuses on the integration of echocardiography workflows. To this end, a suitably developed standard-compliant IT infrastructure called EchoCardio Lab is introduced and architectural details of its components are given.Source: TRANSACTIONS ON MASS-DATA ANALYSIS OF IMAGES AND SIGNALS 2 (2010): 3–18.
See at: CNR ExploRA
2010
Other
Unknown
FP7- SST.2008.1.2.1-234096 Argomarine: Automatic Oil-Spill Recognition and Geopositioning integrated in a Marine Monitoring Network
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
ARGOMARINE is R&D EC-funded project aiming at developing and testing an integrated and distributed system for monitoring the marine traffic and pollution events due to carriers/commercial ships as well as recreational boats through environmental-sensitive sea areas for effective interventions in case of maritime accidents. CNR is leader in the WPs devoted to the design of environmental decision support services and to the implementation of a Marine Information System.
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
ARGOMARINE is R&D EC-funded project aiming at developing and testing an integrated and distributed system for monitoring the marine traffic and pollution events due to carriers/commercial ships as well as recreational boats through environmental-sensitive sea areas for effective interventions in case of maritime accidents. CNR is leader in the WPs devoted to the design of environmental decision support services and to the implementation of a Marine Information System.
See at: CNR ExploRA
2010
Other
Unknown
FP7-ICT-20071 216461 CHRONIOUS: Chronic Disease Management Platform for COPD and Renal Insufficiency
Colantonio S., Martinelli M., Pieri G., Salvetti O.
CHRONIOUS addresses a smart wearable platform, based on multi-parametric sensor data processing, for monitoring people suffering from chronic diseases in long-stay setting. It is constantly monitoring their activity using audio observation methods and activity sensors while at the same time tracking their medical condition via vital signs sensors. Any trait of abnormal health status and possible alerting incidents are detected by CHRONIOUS Intelligence. The system generates alerts in case of invalid medical data or if current activity and behaviour lay outside the well established activity patterns and locomotion behaviour. CHRONIOUS proposes an adaptive and ubiquitous chronic disease management system that offers continuous monitoring to patients by using several sensors either in a form of a wearable solution or scattered in the patient´s living environment and a series of intelligent services to healthcare providers and organisations that aid them in the monitoring of their patients. An overarching goal of the proposed system is to underline and emphasize the partnership between technology-centered and human-centered sciences as technologies for sensing, computing and communications become increasingly ubiquitous.
Colantonio S., Martinelli M., Pieri G., Salvetti O.
CHRONIOUS addresses a smart wearable platform, based on multi-parametric sensor data processing, for monitoring people suffering from chronic diseases in long-stay setting. It is constantly monitoring their activity using audio observation methods and activity sensors while at the same time tracking their medical condition via vital signs sensors. Any trait of abnormal health status and possible alerting incidents are detected by CHRONIOUS Intelligence. The system generates alerts in case of invalid medical data or if current activity and behaviour lay outside the well established activity patterns and locomotion behaviour. CHRONIOUS proposes an adaptive and ubiquitous chronic disease management system that offers continuous monitoring to patients by using several sensors either in a form of a wearable solution or scattered in the patient´s living environment and a series of intelligent services to healthcare providers and organisations that aid them in the monitoring of their patients. An overarching goal of the proposed system is to underline and emphasize the partnership between technology-centered and human-centered sciences as technologies for sensing, computing and communications become increasingly ubiquitous.
See at: CNR ExploRA
2010
Other
Unknown
Tecnologie della comunicazione e dell'informazione per il monitoraggio del mare
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M., Cocco M.
Esposizione delle attività dell'ISTI (laboratorio "Segnali e immagini") nel campo del monitoraggio del mare. Presentazione di prototipi ad uso di personale volontario per la segnalazione di sversamenti di petrolio. Evento ospitato dalla Lega Navale, sezione di Pisa.
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M., Cocco M.
Esposizione delle attività dell'ISTI (laboratorio "Segnali e immagini") nel campo del monitoraggio del mare. Presentazione di prototipi ad uso di personale volontario per la segnalazione di sversamenti di petrolio. Evento ospitato dalla Lega Navale, sezione di Pisa.
See at: CNR ExploRA
2010
Report
Unknown
Design and development of a clinical decision support system for the management of chronic patients
Colantonio S., Martinelli M., Salvetti O.
The report describes the design and implementation of a clinical decision support system able to aid clinicians in a remote management of chronic patients. The knowledge base of the system is described carefully, as well as the technical choices and the development details.Source: ISTI Technical reports, 2010
Project(s): CHRONIOUS
Colantonio S., Martinelli M., Salvetti O.
The report describes the design and implementation of a clinical decision support system able to aid clinicians in a remote management of chronic patients. The knowledge base of the system is described carefully, as well as the technical choices and the development details.Source: ISTI Technical reports, 2010
Project(s): CHRONIOUS
See at: CNR ExploRA
2010
Report
Unknown
Analysis, functional requirements and architecture of the MIS
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
.The Analysis, functional requirements and architecture of the MIS aims to define the overall architecture of the MIS by identifying the services provided and required by each subsystem and defining the interfaces to be used for inter-subsystem communicationSource: Project report, 2010
Project(s): ARGOMARINE, NETMAR
Colantonio S., D'Acunto M., Martinelli M., Moroni D., Pieri G., Salvetti O., Tampucci M.
.The Analysis, functional requirements and architecture of the MIS aims to define the overall architecture of the MIS by identifying the services provided and required by each subsystem and defining the interfaces to be used for inter-subsystem communicationSource: Project report, 2010
Project(s): ARGOMARINE
, NETMAR See at: CNR ExploRA
2010
Software
Unknown
Jena Summation Rule
Martinelli M.
Category: Jena Submitted By: Massimo Martinelli (massimo_m) Accepted by Dave Reynolds Summary: Summation builtin Initial Comment: Summation provides the possibility to summate a flexible number of addends. It is similar to fn:sum($arg) in SWRL http://www.w3.org/TR/xpath-functions/#func-sum that returns a value obtained by adding together the values in $arg (not limited to two addends or summands ---------------------------------------------------------------------- Comment By: Dave Reynolds (der) Date: 2010-11-26 12:03Project(s): HEARTFAID
Martinelli M.
Category: Jena Submitted By: Massimo Martinelli (massimo_m) Accepted by Dave Reynolds Summary: Summation builtin Initial Comment: Summation provides the possibility to summate a flexible number of addends. It is similar to fn:sum($arg) in SWRL http://www.w3.org/TR/xpath-functions/#func-sum that returns a value obtained by adding together the values in $arg (not limited to two addends or summands ---------------------------------------------------------------------- Comment By: Dave Reynolds (der) Date: 2010-11-26 12:03Project(s): HEARTFAID
See at: CNR ExploRA | sourceforge.net
2009
Journal article
Unknown
Il Web semantico
Martinelli M.
Interview on Semantic WebSource: Internet magazine (Lond.) 135 F (2009): 82–83.
Martinelli M.
Interview on Semantic WebSource: Internet magazine (Lond.) 135 F (2009): 82–83.
See at: CNR ExploRA
2009
Conference article
Restricted
A decision support system for aiding heart failure management
Colantonio S., Martinelli M., Moroni D., Salvetti O., Chiarugi F., Emmanouilidou D.
The purpose of this paper is to present an effective way to achieve a high-level integration of a Clinical Decision Support System in the general process of Heart Failure care and to discuss the advantages of such an approach. In particular, the relevant and significant medical knowledge and experts' know-how have been modelled according to an ontological formalism extended with a base of rules for inferential reasoning. These have been also combined with advanced analytical tools for data processing. In particular, methods for the segmentation of echocardiographic image sequences and algorithms for ECG processing have been implemented and integrated into the system.Source: Ninth International Conference on Intelligent Systems Design and Applications, pp. 351–356, Pisa, 30 NOvember -2 December 2009
DOI: 10.1109/isda.2009.117
Metrics:
Colantonio S., Martinelli M., Moroni D., Salvetti O., Chiarugi F., Emmanouilidou D.
The purpose of this paper is to present an effective way to achieve a high-level integration of a Clinical Decision Support System in the general process of Heart Failure care and to discuss the advantages of such an approach. In particular, the relevant and significant medical knowledge and experts' know-how have been modelled according to an ontological formalism extended with a base of rules for inferential reasoning. These have been also combined with advanced analytical tools for data processing. In particular, methods for the segmentation of echocardiographic image sequences and algorithms for ECG processing have been implemented and integrated into the system.Source: Ninth International Conference on Intelligent Systems Design and Applications, pp. 351–356, Pisa, 30 NOvember -2 December 2009
DOI: 10.1109/isda.2009.117
Metrics:
See at:
doi.org | ieeexplore.ieee.org | CNR ExploRA
2009
Report
Unknown
Functional specification of a guidelines query module and a clinical decision support system for the management of chronic patients
Colantonio S., Martinelli M., Salvetti O.
The report summarized the functional specifications of a guidelines formalization framework based on the development of a Clinical Decision Support System for the management of chronic patients.Source: ISTI Technical reports, 2009
Project(s): CHRONIOUS
Colantonio S., Martinelli M., Salvetti O.
The report summarized the functional specifications of a guidelines formalization framework based on the development of a Clinical Decision Support System for the management of chronic patients.Source: ISTI Technical reports, 2009
Project(s): CHRONIOUS
See at: CNR ExploRA
2009
Contribution to conference
Closed Access
EchoCardio Lab: an infrastructure for the management of heterogeneous and distributed information in the heart failure domain
Martinelli M., Moroni D., Salvetti O, Tampucci M.
-Source: International Symposium on Computer and Information Sciences, METU Northern Cyprus Campus, 14-16 September 2009
Martinelli M., Moroni D., Salvetti O, Tampucci M.
-Source: International Symposium on Computer and Information Sciences, METU Northern Cyprus Campus, 14-16 September 2009
See at:
www.iscis.metu.edu.tr | CNR ExploRA
2008
Journal article
Restricted
Cell image analysis ontology
Colantonio S., Martinelli M., Salvetti O., Gurevich I. B., Trusova Y.
Cell image analysis in microscopy is the core activity of cytology and cytopathology for assessing cell physiological (cellular structure and function) and pathological properties. Biologists usually make evaluations by visually and qualitatively inspecting microscopic images: this way, they are particularly able to recognize deviations from normality. Nevertheless, automated analysis is strongly preferable for obtaining objective, quantitative, detailed, and reproducible measurements, i.e., features , of cells. Yet, the organization and standardization of the wide domain of features used in cytometry is still a matter of challenging research. In this paper, we present the Cell Image Analysis Ontology (CIAO), which we are developing for structuring the cell image features domain. CIAO is a structured ontology that relates different cell parts or whole cells, microscopic images, and cytometric features. Such an ontology has incalculable value since it could be used for standardizing cell image analysis terminology and features definition. It could also be suitably integrated into the development of tools for supporting biologists and clinicians in their analysis processes and for implementing automated diagnostic systems. Thus, we also present a tool developed for using CIAO in the diagnosis of hematopoietic diseases.Source: Pattern recognition and image analysis 18 (2008): 332–341. doi:10.1134/S1054661808020211
DOI: 10.1134/s1054661808020211
Metrics:
Colantonio S., Martinelli M., Salvetti O., Gurevich I. B., Trusova Y.
Cell image analysis in microscopy is the core activity of cytology and cytopathology for assessing cell physiological (cellular structure and function) and pathological properties. Biologists usually make evaluations by visually and qualitatively inspecting microscopic images: this way, they are particularly able to recognize deviations from normality. Nevertheless, automated analysis is strongly preferable for obtaining objective, quantitative, detailed, and reproducible measurements, i.e., features , of cells. Yet, the organization and standardization of the wide domain of features used in cytometry is still a matter of challenging research. In this paper, we present the Cell Image Analysis Ontology (CIAO), which we are developing for structuring the cell image features domain. CIAO is a structured ontology that relates different cell parts or whole cells, microscopic images, and cytometric features. Such an ontology has incalculable value since it could be used for standardizing cell image analysis terminology and features definition. It could also be suitably integrated into the development of tools for supporting biologists and clinicians in their analysis processes and for implementing automated diagnostic systems. Thus, we also present a tool developed for using CIAO in the diagnosis of hematopoietic diseases.Source: Pattern recognition and image analysis 18 (2008): 332–341. doi:10.1134/S1054661808020211
DOI: 10.1134/s1054661808020211
Metrics:
See at:
Pattern Recognition and Image Analysis | www.springerlink.com | CNR ExploRA
2008
Conference article
Unknown
A decision support resource as a kernel of a semantic Web based platform oriented to heart failure
Colantonio S., Martinelli M., Moroni D., Salvetti O., Candelieri A., Conforti D., Perticone F., Sciacqua A., Biniaris C., Marsh A.
Chronic heart failure (CHF) is a complex cardiovascular syndrome whose management requires a complex clinical program involving, at different levels, several care stakeholders and the integration and interpretation of a number of diagnostic data and information. Within the EU FP6 project HEARTFAID (www.heartfaid.org), an integrated platform of services is being developed to assist CHF stakeholders in their routine workflow and to provide an optimal management of CHF patients, by exploiting the most advanced technologies, compliant to medical standards, advanced instruments for diagnostic data processing, and significant and up-to-date knowledge, suitably formalized. The platform consists in a distributed and heterogeneous infrastructure developed by integrating different and functionally independent components according to the up-to-date service oriented technologies. A Knowledge-based Clinical Decision Support System (CDSS) constitutes the kernel of the platform and is aimed at aiding the decisional processes of CHF care givers. So far, the main functionalities of the platform and of the CDSS have been developed according to an accurate analysis of realistic clinical scenarios. Semantic web technologies are being used as the most advanced tools for formalizing, re-using and sharing medical knowledge, and reasoning on it; while a service oriented approach is being adopted for the integration and easy access to a number of users' applications. Main results are detailed and discussed in this paper.Source: The 2008 International Conference on Semantic Web and Web Service, pp. 111–117, Las Vegas, Nevada, US, 14-17, July 2008
Colantonio S., Martinelli M., Moroni D., Salvetti O., Candelieri A., Conforti D., Perticone F., Sciacqua A., Biniaris C., Marsh A.
Chronic heart failure (CHF) is a complex cardiovascular syndrome whose management requires a complex clinical program involving, at different levels, several care stakeholders and the integration and interpretation of a number of diagnostic data and information. Within the EU FP6 project HEARTFAID (www.heartfaid.org), an integrated platform of services is being developed to assist CHF stakeholders in their routine workflow and to provide an optimal management of CHF patients, by exploiting the most advanced technologies, compliant to medical standards, advanced instruments for diagnostic data processing, and significant and up-to-date knowledge, suitably formalized. The platform consists in a distributed and heterogeneous infrastructure developed by integrating different and functionally independent components according to the up-to-date service oriented technologies. A Knowledge-based Clinical Decision Support System (CDSS) constitutes the kernel of the platform and is aimed at aiding the decisional processes of CHF care givers. So far, the main functionalities of the platform and of the CDSS have been developed according to an accurate analysis of realistic clinical scenarios. Semantic web technologies are being used as the most advanced tools for formalizing, re-using and sharing medical knowledge, and reasoning on it; while a service oriented approach is being adopted for the integration and easy access to a number of users' applications. Main results are detailed and discussed in this paper.Source: The 2008 International Conference on Semantic Web and Web Service, pp. 111–117, Las Vegas, Nevada, US, 14-17, July 2008
See at: CNR ExploRA
2008
Conference article
Unknown
An intelligent and integrated platform for supporting the management of chronic heart failure patients
Colantonio S., Conforti D., Martinelli M., Moroni D., Perticone F., Salvetti O., Sciacqua A.
Within the EUFP6 project HEARTFAID, an integrated platform of services is being developed to assist chronic heart failure stakeholders in their routine workflow and to provide an optimal management of heart failure patients, by exploiting the most advanced technologies, compliant to medical standards, advanced instruments for diagnostic data processing, and significant and up-to-date knowledge, suitably formalized. The core of the platform intelligence is represented by a Knowledge based Clinical Decision Support System, which is aimed at making more effective and efficient all the processes related to chronic heart failure patients' management. In this paper, the current results of the platform development are reported and discussed.Source: Computers in Cardiology 2008, pp. 897–900, Bologna, Italy, 14-17 Settembre 2008
Colantonio S., Conforti D., Martinelli M., Moroni D., Perticone F., Salvetti O., Sciacqua A.
Within the EUFP6 project HEARTFAID, an integrated platform of services is being developed to assist chronic heart failure stakeholders in their routine workflow and to provide an optimal management of heart failure patients, by exploiting the most advanced technologies, compliant to medical standards, advanced instruments for diagnostic data processing, and significant and up-to-date knowledge, suitably formalized. The core of the platform intelligence is represented by a Knowledge based Clinical Decision Support System, which is aimed at making more effective and efficient all the processes related to chronic heart failure patients' management. In this paper, the current results of the platform development are reported and discussed.Source: Computers in Cardiology 2008, pp. 897–900, Bologna, Italy, 14-17 Settembre 2008
See at: CNR ExploRA
2008
Conference article
Unknown
Decision support and image & signal analysis in heart failure. A comprehensive use case
Colantonio S., Martinelli M., Moroni D., Salvetti O., Perticone F., Sciacqua A., Chiarugi F., Conforti D., Gualtieri A., Lagani V.
The European STREP project HEARTFAID aims at defining an innovative platform of services able to intelligently support clinical operators in the daily management of heart failure patients. The core of the platform intelligence is a Clinical Decision Support System, developed by integrating innovative knowledge representation techniques and hybrid reasoning methods, and including advanced tools for the analysis of diagnostic data, i.e. signals and images. Aiming at showing how all these issues are combined in the HEARTFAID platform, we present a comprehensive use case, centred on echocardiography workflow and covering the clinical course leading from visit scheduling to therapeutic choices, highlighting the intervention and the value added by the Clinical Decision Support System.Source: First International Conference on Health Informatics. HEALTHINF 2008, pp. 288, Funchal, Madeira, Portugal, 28-31 January 2008
Colantonio S., Martinelli M., Moroni D., Salvetti O., Perticone F., Sciacqua A., Chiarugi F., Conforti D., Gualtieri A., Lagani V.
The European STREP project HEARTFAID aims at defining an innovative platform of services able to intelligently support clinical operators in the daily management of heart failure patients. The core of the platform intelligence is a Clinical Decision Support System, developed by integrating innovative knowledge representation techniques and hybrid reasoning methods, and including advanced tools for the analysis of diagnostic data, i.e. signals and images. Aiming at showing how all these issues are combined in the HEARTFAID platform, we present a comprehensive use case, centred on echocardiography workflow and covering the clinical course leading from visit scheduling to therapeutic choices, highlighting the intervention and the value added by the Clinical Decision Support System.Source: First International Conference on Health Informatics. HEALTHINF 2008, pp. 288, Funchal, Madeira, Portugal, 28-31 January 2008
See at: CNR ExploRA
2008
Conference article
Unknown
Media Analysis and the Algorithm Ontology
Asirelli P., Colantonio S., Little S., Martinelli M., Salvetti O.
Media analysis algorithms are used for a variety of purposes. They may improve media facets such as contrast or signal-to-noise ratio or extract lowlevel details such asMPEG-7 features to be used in data mining and other higherlevel processing. However, algorithms are difficult to manage, understand and apply in particular for non-expert users. Therefore we are developing an algorithm ontology to support identification, aggregation and recording of algorithms for media analysis. This is especially useful for domains with high-volumes of complex media objects to investigate and integrate. Algorithms for media analysis may be applied at multiple points within a typical multimedia lifecycle. This article discusses a proposed algorithm ontology to support identification, retrieval and application of multimedia analysis processes and its application to metadata management and multimedia interoperability.Source: First International Workshop on Image Mining: Theory and Applications (IMTA 2008), pp. 16–25, Funchal, Madeira, Portugal, 22-23 January 2008
Asirelli P., Colantonio S., Little S., Martinelli M., Salvetti O.
Media analysis algorithms are used for a variety of purposes. They may improve media facets such as contrast or signal-to-noise ratio or extract lowlevel details such asMPEG-7 features to be used in data mining and other higherlevel processing. However, algorithms are difficult to manage, understand and apply in particular for non-expert users. Therefore we are developing an algorithm ontology to support identification, aggregation and recording of algorithms for media analysis. This is especially useful for domains with high-volumes of complex media objects to investigate and integrate. Algorithms for media analysis may be applied at multiple points within a typical multimedia lifecycle. This article discusses a proposed algorithm ontology to support identification, retrieval and application of multimedia analysis processes and its application to metadata management and multimedia interoperability.Source: First International Workshop on Image Mining: Theory and Applications (IMTA 2008), pp. 16–25, Funchal, Madeira, Portugal, 22-23 January 2008
See at: CNR ExploRA
2008
Other
Unknown
HEARTFAID Decision Support System Prototype --- HEARTFAID FP6 Project
Colantonio S., Pieri G., Martinelli M., Moroni D., Salvetti O., Tampucci M.
Prototypical Clinical Decision Support System (CDSS) developed within the European Project HEARTFAID "A knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population"(IST-2005-027107).Project(s): HEARTFAID
Colantonio S., Pieri G., Martinelli M., Moroni D., Salvetti O., Tampucci M.
Prototypical Clinical Decision Support System (CDSS) developed within the European Project HEARTFAID "A knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population"(IST-2005-027107).Project(s): HEARTFAID
See at: CNR ExploRA
2008
Other
Unknown
Muscle NoE --- 4M Infrastructure: Final Revision
Asirelli P., De Chalendar G., Grefenstette G., Güdükbay U., Little S., Martinelli M., Perner P., Salvetti O., Tampucci M., Ulusoy Ö.
The management and the exchange of multimedia data is a challenging area of research due to variety formats, standards and the many interesting planned applications. The difficulty has caused by the growing of the multimedia reading and creation systems (e.g., digital camera, i-pod, low-cost personal computer, etc.). Due to this phenomenon, the algorithms to search the multimedia documents and to eliminate data redundancy are often ineffective in practice (if and when they exist). MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) is an EC-sponsored Network of Excellence (NoE) project aiming to foster collaboration and improve tools in the areas of multimedia data-mining and machine-learning. Within MUSCLE, some research has been focused on standards, technologies and techniques for integrating, exchanging and enhancing the use of multimedia. The activity of ISTI CNR in Pisa was finalized to develop the 4M Infrastructure (MultiMedia Metadata Management) oriented to the management of multimedia metadata.
Asirelli P., De Chalendar G., Grefenstette G., Güdükbay U., Little S., Martinelli M., Perner P., Salvetti O., Tampucci M., Ulusoy Ö.
The management and the exchange of multimedia data is a challenging area of research due to variety formats, standards and the many interesting planned applications. The difficulty has caused by the growing of the multimedia reading and creation systems (e.g., digital camera, i-pod, low-cost personal computer, etc.). Due to this phenomenon, the algorithms to search the multimedia documents and to eliminate data redundancy are often ineffective in practice (if and when they exist). MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) is an EC-sponsored Network of Excellence (NoE) project aiming to foster collaboration and improve tools in the areas of multimedia data-mining and machine-learning. Within MUSCLE, some research has been focused on standards, technologies and techniques for integrating, exchanging and enhancing the use of multimedia. The activity of ISTI CNR in Pisa was finalized to develop the 4M Infrastructure (MultiMedia Metadata Management) oriented to the management of multimedia metadata.
See at: CNR ExploRA
2008
Report
Unknown
HEARTFAID FP6 EU Project --- EchoCardioLab Infrastructure: Mid-Term Revision
Colantonio S., Martinelli M., Moroni D., Perticone F., Salvetti O., Sciacqua A., Tampucci M.
EchoCardio Lab is an infrastructure providing integrated management of all the data and transactions related to echocardiography workflows. The infrastructure guarantees retrieval, storage and deployment of heterogeneous data consisting in images and image sequences, clinical parameters and textual annotations across distributed databases. Standard-based middleware functionalities are used for the communication among the components of the infrastructure and external ones (e.g. echocardiography devices), thus resulting in an adaptable and interoperable system. Decision support services and image analysis facilities are also introduced as advanced features of the infrastructure.Source: Project report, HEARTFAID FP6 EU Project, 2008
Colantonio S., Martinelli M., Moroni D., Perticone F., Salvetti O., Sciacqua A., Tampucci M.
EchoCardio Lab is an infrastructure providing integrated management of all the data and transactions related to echocardiography workflows. The infrastructure guarantees retrieval, storage and deployment of heterogeneous data consisting in images and image sequences, clinical parameters and textual annotations across distributed databases. Standard-based middleware functionalities are used for the communication among the components of the infrastructure and external ones (e.g. echocardiography devices), thus resulting in an adaptable and interoperable system. Decision support services and image analysis facilities are also introduced as advanced features of the infrastructure.Source: Project report, HEARTFAID FP6 EU Project, 2008
See at: CNR ExploRA
2008
Report
Unknown
A decision support system for the management of heart failure
Colantonio S., Martinelli M., Moroni D., Pieri G., Tampucci M., Salvetti O.
This technical report details the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. HEARTFAID aims at devising and deploying an integrated platform of services meant to assist Chronic Heart Failure (CHF) stakeholders in their routine workflow and to provide an optimal management of CHF patients, by exploiting the most advanced technologies, compliant to medical standards, advanced instruments for diagnostic data processing, and significant and up-to-date knowledge, suitably formalized. The platform consists in a distributed and heterogeneous infrastructure developed by integrating different and functionally independent, but cooperating, components according to the up-to-date service oriented technologies. The main functionalities of the platform are: (i) patients' telemonitoring; (ii) timely and interactive access to patients' data; (iii) interpretation of diagnostic investigations; (iv) therapy planning. These functionalities mainly rely on the platform intelligence core represented by a Knowledge-based Clinical Decision Support System (CDSS), which is aimed at aiding the decisional processes of CHF caregivers. Innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain have been considered and integrated to assure the CDSS effectiveness and reliability. This report summarizes the activities carried out in the implementation of the CDSS, following the design activities that was performed in the previous years of the Project and summarized in previous technical reports (2006-TR-52, 2007-TR-34, 2007-TR-35). Such a design was based on a deep investigation of CHF stakeholders' needs and expectations which resulted in a detailed list of CDSS functional requirements; while an accurate analysis of the methodological and technological foundations resulted in the detailed definition of the CDSS functional specifications. The CDSS has been then devised by integrating, in functionally advanced settings: (i) deductive knowledge, elicited from guidelines and medical experts; (ii) inductive knowledge, extracted by data mining techniques applied to significant sets of data; (iii) computational methods for the analysis and interpretation of diagnostic data (i.e., ECG signals and Echocardiographic images). This document mainly focuses on the implementation of each component of the CDSS architecture and their integration into the system, and on the integration of the CDSS itself within the platform (integration that is realized mainly by means of the HEARTFAID Web Portal). For the implementation activity, Semantic Web Technologies (SWT) have been used as the most advanced tools for formalizing, re-using and sharing medical knowledge, and reasoning on it; while a service oriented approach has been adopted for the integration and easy access to a number of functionalities. Moreover, realistic clinical scenarios have been carefully defined in cooperation with clinical partners for assuring the realness and effectiveness of the developed functionalities of the system. More in details, the document is organized as follows. In the first introductory chapter, a recall of the significance of decision support in the management of CHF is reported along with a brief description of the main issues to be faced when developing a decision support system. Afterwards, in the second chapter, HEARTFAID CDSS architecture is described and motivated. Also, the integration of the system within HEARTFAID platform is summarized for assuring a global view of the system functioning. In Chapter 3, attention is focused on the implementation details, hence each component of the CDSS architecture is considered and its implementation described in details along with the problems faced and the solutions adopted. Particular attention is devoted to the ontological Knowledge Base, the computational reasoning methods included into the Model Base, as well as the algorithms defined and developed for processing Echocardiographic images. Finally, the implementation of the Meta Level of the system is described and discussed. In the fourth chapter, the integration within the Platform through the Middleware is discussed along with the issues faced and the technological choices made. The implementation of the showcase related to the clinical management of a HF patient is reported in Chapter 5. Two appendixes close the document. Appendix A contains technological details about the developing tools and software used for the implementation activities are reported. Appendix B reports some code of the developed software.Source: ISTI Technical reports, 2008
Colantonio S., Martinelli M., Moroni D., Pieri G., Tampucci M., Salvetti O.
This technical report details the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. HEARTFAID aims at devising and deploying an integrated platform of services meant to assist Chronic Heart Failure (CHF) stakeholders in their routine workflow and to provide an optimal management of CHF patients, by exploiting the most advanced technologies, compliant to medical standards, advanced instruments for diagnostic data processing, and significant and up-to-date knowledge, suitably formalized. The platform consists in a distributed and heterogeneous infrastructure developed by integrating different and functionally independent, but cooperating, components according to the up-to-date service oriented technologies. The main functionalities of the platform are: (i) patients' telemonitoring; (ii) timely and interactive access to patients' data; (iii) interpretation of diagnostic investigations; (iv) therapy planning. These functionalities mainly rely on the platform intelligence core represented by a Knowledge-based Clinical Decision Support System (CDSS), which is aimed at aiding the decisional processes of CHF caregivers. Innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain have been considered and integrated to assure the CDSS effectiveness and reliability. This report summarizes the activities carried out in the implementation of the CDSS, following the design activities that was performed in the previous years of the Project and summarized in previous technical reports (2006-TR-52, 2007-TR-34, 2007-TR-35). Such a design was based on a deep investigation of CHF stakeholders' needs and expectations which resulted in a detailed list of CDSS functional requirements; while an accurate analysis of the methodological and technological foundations resulted in the detailed definition of the CDSS functional specifications. The CDSS has been then devised by integrating, in functionally advanced settings: (i) deductive knowledge, elicited from guidelines and medical experts; (ii) inductive knowledge, extracted by data mining techniques applied to significant sets of data; (iii) computational methods for the analysis and interpretation of diagnostic data (i.e., ECG signals and Echocardiographic images). This document mainly focuses on the implementation of each component of the CDSS architecture and their integration into the system, and on the integration of the CDSS itself within the platform (integration that is realized mainly by means of the HEARTFAID Web Portal). For the implementation activity, Semantic Web Technologies (SWT) have been used as the most advanced tools for formalizing, re-using and sharing medical knowledge, and reasoning on it; while a service oriented approach has been adopted for the integration and easy access to a number of functionalities. Moreover, realistic clinical scenarios have been carefully defined in cooperation with clinical partners for assuring the realness and effectiveness of the developed functionalities of the system. More in details, the document is organized as follows. In the first introductory chapter, a recall of the significance of decision support in the management of CHF is reported along with a brief description of the main issues to be faced when developing a decision support system. Afterwards, in the second chapter, HEARTFAID CDSS architecture is described and motivated. Also, the integration of the system within HEARTFAID platform is summarized for assuring a global view of the system functioning. In Chapter 3, attention is focused on the implementation details, hence each component of the CDSS architecture is considered and its implementation described in details along with the problems faced and the solutions adopted. Particular attention is devoted to the ontological Knowledge Base, the computational reasoning methods included into the Model Base, as well as the algorithms defined and developed for processing Echocardiographic images. Finally, the implementation of the Meta Level of the system is described and discussed. In the fourth chapter, the integration within the Platform through the Middleware is discussed along with the issues faced and the technological choices made. The implementation of the showcase related to the clinical management of a HF patient is reported in Chapter 5. Two appendixes close the document. Appendix A contains technological details about the developing tools and software used for the implementation activities are reported. Appendix B reports some code of the developed software.Source: ISTI Technical reports, 2008
See at: CNR ExploRA
2008
Report
Open Access
Orario. Un sistema Web di gestione degli orari del personale afferente agli Istituti del Consiglio Nazionale delle Ricerche
Martinelli M.
The Orario Web service (ex Panda Web) is the new system for managing the timetable, currently used by staff of various institutions of the CNR Research Area o Pisa and of the IGG of Firenze.Source: ISTI Technical reports, 2008
Martinelli M.
The Orario Web service (ex Panda Web) is the new system for managing the timetable, currently used by staff of various institutions of the CNR Research Area o Pisa and of the IGG of Firenze.Source: ISTI Technical reports, 2008
See at:
ISTI Repository | orario.area.pi.cnr.it | CNR ExploRA
2008
Report
Unknown
MUSCLE NoE - DN2.4 - 4M Infrastructure: Final Revision
Asirelli P., De Chalendar G., Grefenstette G., Güdükbay U., Little S., Martinelli M., Perner P., Salvetti O., Tampucci M., Ulusoy Ö.
The management and the exchange of multimedia data is a challenging area of research due to variety formats, standards and the many interesting planned applications. The difficulty has caused by the growing of the multimedia reading and creation systems (e.g., digital camera, i-pod, low-cost personal computer, etc.). Due to this phenomenon, the algorithms to search the multimedia documents and to eliminate data redundancy are often ineffective in practice (if and when they exist). MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) is an EC-sponsored Network of Excellence (NoE) project aiming to foster collaboration and improve tools in the areas of multimedia data-mining and machine-learning. Within MUSCLE, some research has been focused on standards, technologies and techniques for integrating, exchanging and enhancing the use of multimedia. The activity of ISTI CNR in Pisa was finalized to develop the 4M Infrastructure (MultiMedia Metadata Management) oriented to the management of multimedia metadata.Source: Project report, MUSCLE, Deliverable DN2.4, 2008
Asirelli P., De Chalendar G., Grefenstette G., Güdükbay U., Little S., Martinelli M., Perner P., Salvetti O., Tampucci M., Ulusoy Ö.
The management and the exchange of multimedia data is a challenging area of research due to variety formats, standards and the many interesting planned applications. The difficulty has caused by the growing of the multimedia reading and creation systems (e.g., digital camera, i-pod, low-cost personal computer, etc.). Due to this phenomenon, the algorithms to search the multimedia documents and to eliminate data redundancy are often ineffective in practice (if and when they exist). MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) is an EC-sponsored Network of Excellence (NoE) project aiming to foster collaboration and improve tools in the areas of multimedia data-mining and machine-learning. Within MUSCLE, some research has been focused on standards, technologies and techniques for integrating, exchanging and enhancing the use of multimedia. The activity of ISTI CNR in Pisa was finalized to develop the 4M Infrastructure (MultiMedia Metadata Management) oriented to the management of multimedia metadata.Source: Project report, MUSCLE, Deliverable DN2.4, 2008
See at: CNR ExploRA
2008
Report
Unknown
End-user application and services prototype Accompanied document
Conforti D., Colantonio S., Martinelli M., Moroni D., Salvetti O., Tampucci M
This is an accompanied document to the end-user application and services prototype (The HEARTFAID front end). All the applications and services have been described in detail in other deliverables. This document is a User-Manual, for the end-users of the HEARTFAID Front-end, providing directions on how to navigate through the available on-line HEARTFAID applications and services, through the Front-end.Source: Project report, HEARTFAID, Deliverable D37, 2008
Project(s): HEARTFAID
Conforti D., Colantonio S., Martinelli M., Moroni D., Salvetti O., Tampucci M
This is an accompanied document to the end-user application and services prototype (The HEARTFAID front end). All the applications and services have been described in detail in other deliverables. This document is a User-Manual, for the end-users of the HEARTFAID Front-end, providing directions on how to navigate through the available on-line HEARTFAID applications and services, through the Front-end.Source: Project report, HEARTFAID, Deliverable D37, 2008
Project(s): HEARTFAID
See at: CNR ExploRA
2008
Report
Unknown
HEARTFAID Decision Support System Prototype
Colantonio S., Martinelli M., Moroni D., Salvetti O., Chiarugi F., Tsamardinos I., Candelieri A., Conforti D., Lagani V., Gamberger D.
This deliverable summaries the activities carried out, within Task 5.4 "Implementation of the Decision Support System", for developing the HEARTFAID CDSS Prototype, following the design that was performed in the previous years of the Project, within Task 5.3, and summarized in Deliverable D15 "Functional Specifications of Data Processing and Decision Support Services" (DEL D15, 2007). Such a design was based on a deep investigation of CHF stakeholders' needs and expectations which resulted in a detailed list of CDSS functional requirements; while an accurate analysis of the methodological and technological foundations resulted in the detailed definition of the CDSS functional specifications. The CDSS has been then devised by integrating, in functionally advanced settings: (i) deductive knowledge, elicited from guidelines and medical experts; (ii) inductive knowledge, extracted by data mining techniques applied to significant sets of data; (iii) computational methods for the analysis and interpretation of diagnostic data (i.e., ECG signals and Echocardiographic images). This has required the collection of some results of the activities carried out in other Tasks or Work Packages (WP) of the project. In particular, the deductive knowledge base has been formalized in WP4 and a precise description of its content can be found in Deliverable D22 "Ontologies and Knowledge Representation" (DEL D22, 2007). Inductive models have resulted from the activity of knowledge discovery and described more precisely in Deliverable D29. Methods and algorithms for processing and analysing diagnostic ECG and Echo images have been developed in Task 5.2 and detailed in Deliverable D30 "Models and Methods for Signals and Images Processing" (DEL D30, 2008). This document mainly focuses on the implementation of each component of the CDSS architecture and their integration into the system, and on the integration of the CDSS itself within the platform (integration that is realized mainly by means of the HEARTFAID Web Portal). For the implementation activity, Semantic Web Technologies (SWT) have been used as the most advanced tools for formalizing, re-using and sharing medical knowledge, and reasoning on it; while a service oriented approach has been adopted for the integration and easy access to a number of functionalities. Moreover, realistic clinical scenarios have been carefully defined in cooperation with clinical partners for assuring the realness and effectiveness of the developed functionalities of the system. More in details, the document is organized as follows. In the first introductory chapter, a recall of the significance of decision support in the management of CHF is reported along with a brief description of the main issues to be faced when developing a decision support system. Afterwards, in the second chapter, HEARTFAID CDSS architecture, as was defined in the previous Tasks 5.3 of the Work-Package 5, is described and motivated. Also, the integration of the system within HEARTFAID platform is summarized for assuring a global view of the system functioning. In Chapter 3, attention is focused on the implementation details, hence each component of the CDSS architecture is considered and its implementation described in details along with the problems faced and the solutions adopted. Particular attention is devoted to the ontological Knowledge Base, the computational reasoning methods included into the Model Base, as well as the algorithms defined and developed for processing ECG signals and Echocardiographic images. Finally, the implementation of the Meta Level of the system is described and discussed. In the fourth chapter, the integration within the Platform through the Middleware is discussed along with the issues faced and the technological choices made. The implementation of the showcase related to the clinical management of a HF patient is reported in Chapter 5. Two appendices close the document.Source: Project report, HEARTFAID, Deliverable D36, 2008
Project(s): HEARTFAID
Colantonio S., Martinelli M., Moroni D., Salvetti O., Chiarugi F., Tsamardinos I., Candelieri A., Conforti D., Lagani V., Gamberger D.
This deliverable summaries the activities carried out, within Task 5.4 "Implementation of the Decision Support System", for developing the HEARTFAID CDSS Prototype, following the design that was performed in the previous years of the Project, within Task 5.3, and summarized in Deliverable D15 "Functional Specifications of Data Processing and Decision Support Services" (DEL D15, 2007). Such a design was based on a deep investigation of CHF stakeholders' needs and expectations which resulted in a detailed list of CDSS functional requirements; while an accurate analysis of the methodological and technological foundations resulted in the detailed definition of the CDSS functional specifications. The CDSS has been then devised by integrating, in functionally advanced settings: (i) deductive knowledge, elicited from guidelines and medical experts; (ii) inductive knowledge, extracted by data mining techniques applied to significant sets of data; (iii) computational methods for the analysis and interpretation of diagnostic data (i.e., ECG signals and Echocardiographic images). This has required the collection of some results of the activities carried out in other Tasks or Work Packages (WP) of the project. In particular, the deductive knowledge base has been formalized in WP4 and a precise description of its content can be found in Deliverable D22 "Ontologies and Knowledge Representation" (DEL D22, 2007). Inductive models have resulted from the activity of knowledge discovery and described more precisely in Deliverable D29. Methods and algorithms for processing and analysing diagnostic ECG and Echo images have been developed in Task 5.2 and detailed in Deliverable D30 "Models and Methods for Signals and Images Processing" (DEL D30, 2008). This document mainly focuses on the implementation of each component of the CDSS architecture and their integration into the system, and on the integration of the CDSS itself within the platform (integration that is realized mainly by means of the HEARTFAID Web Portal). For the implementation activity, Semantic Web Technologies (SWT) have been used as the most advanced tools for formalizing, re-using and sharing medical knowledge, and reasoning on it; while a service oriented approach has been adopted for the integration and easy access to a number of functionalities. Moreover, realistic clinical scenarios have been carefully defined in cooperation with clinical partners for assuring the realness and effectiveness of the developed functionalities of the system. More in details, the document is organized as follows. In the first introductory chapter, a recall of the significance of decision support in the management of CHF is reported along with a brief description of the main issues to be faced when developing a decision support system. Afterwards, in the second chapter, HEARTFAID CDSS architecture, as was defined in the previous Tasks 5.3 of the Work-Package 5, is described and motivated. Also, the integration of the system within HEARTFAID platform is summarized for assuring a global view of the system functioning. In Chapter 3, attention is focused on the implementation details, hence each component of the CDSS architecture is considered and its implementation described in details along with the problems faced and the solutions adopted. Particular attention is devoted to the ontological Knowledge Base, the computational reasoning methods included into the Model Base, as well as the algorithms defined and developed for processing ECG signals and Echocardiographic images. Finally, the implementation of the Meta Level of the system is described and discussed. In the fourth chapter, the integration within the Platform through the Middleware is discussed along with the issues faced and the technological choices made. The implementation of the showcase related to the clinical management of a HF patient is reported in Chapter 5. Two appendices close the document.Source: Project report, HEARTFAID, Deliverable D36, 2008
Project(s): HEARTFAID
See at: CNR ExploRA
2007
Conference article
Restricted
Thesaurus-based ontology on image analysis
Colantonio S., Gurevich I. B., Martinelli M., Salvetti O., Trusova Y.
The paper is devoted to the development of an ontology of the domain "Image processing, analysis, recognition, and understanding" based on the existing image analysis thesaurus. Such an ontology could be used to support a wide range of tasks, including automated image analysis, algorithmic knowledge reuse, intelligent information retrieval, etc. Main steps and first results of the ontology development process are described.Source: Semantic Multimedia. Second International Conference on Semantic and Digital Media Technologies, SAMT 2007, pp. 113–116, Genova, Italy, 5-7 December 2007
DOI: 10.1007/978-3-540-77051-0
Metrics:
Colantonio S., Gurevich I. B., Martinelli M., Salvetti O., Trusova Y.
The paper is devoted to the development of an ontology of the domain "Image processing, analysis, recognition, and understanding" based on the existing image analysis thesaurus. Such an ontology could be used to support a wide range of tasks, including automated image analysis, algorithmic knowledge reuse, intelligent information retrieval, etc. Main steps and first results of the ontology development process are described.Source: Semantic Multimedia. Second International Conference on Semantic and Digital Media Technologies, SAMT 2007, pp. 113–116, Genova, Italy, 5-7 December 2007
DOI: 10.1007/978-3-540-77051-0
Metrics:
See at:
doi.org | www.springerlink.com | CNR ExploRA
2007
Conference article
Open Access
Integration of structural and semantic models for multimedia metadata management
Little S., Martinelli M., Salvetti O., Ulusoy Ö., Grefenstette G., De Chalendar G.
The management and exchange of multimedia data is challenging due to the variety of formats, standards and intended applications. In addition, production of multimedia data is rapidly increasing due to the availability of off-the-shelf, modern digital devices that can be used by even inexperienced users. It is likely that this volume of information will only increase in the future. A key goal of the MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) network is to develop tools, technologies and standards to facilitate the interoperability of multimedia content and support the exchange of such data. One approach for achieving this was the creation of a specific "E-Team", composed of the authors, to discuss core questions and practical issues based on the participant's individual work. In this paper, we present the relevant points of view with regards to sharing experiences and to extracting and integrating multimedia data and metadata from different modes (text, images, video).Source: International Workshop on Content-Based Multimedia Indexing. CBMI'07, pp. 40–45, Bordeaux, France, 25-27 June 2007
DOI: 10.1109/cbmi.2007.385390
Metrics:
Little S., Martinelli M., Salvetti O., Ulusoy Ö., Grefenstette G., De Chalendar G.
The management and exchange of multimedia data is challenging due to the variety of formats, standards and intended applications. In addition, production of multimedia data is rapidly increasing due to the availability of off-the-shelf, modern digital devices that can be used by even inexperienced users. It is likely that this volume of information will only increase in the future. A key goal of the MUSCLE (Multimedia Understanding through Semantics, Computation and Learning) network is to develop tools, technologies and standards to facilitate the interoperability of multimedia content and support the exchange of such data. One approach for achieving this was the creation of a specific "E-Team", composed of the authors, to discuss core questions and practical issues based on the participant's individual work. In this paper, we present the relevant points of view with regards to sharing experiences and to extracting and integrating multimedia data and metadata from different modes (text, images, video).Source: International Workshop on Content-Based Multimedia Indexing. CBMI'07, pp. 40–45, Bordeaux, France, 25-27 June 2007
DOI: 10.1109/cbmi.2007.385390
Metrics:
See at:
repository.bilkent.edu.tr | doi.org | CNR ExploRA
2007
Conference article
Unknown
Ontology-driven approach to cell image analysis
Colantonio S., Gurevich I., Martinelli M., Salvetti O., Trusova Y.
A Cell Image Analysis Ontology - CIAO - is introduced for aiding the automation of quantitative cytological analysis. CIAO aims at standardizing the cytology and cytometry terminology and structuring domains inherent cell biology, microscopy and feature-based analysis of microscopic images, by introducing their formal and precise formulation. As a result, we present a tool developed for testing CIAO in the diagnosis of haematopoietic diseases.Source: 7th Open German/Russian Workshop on Pattern Recognition and Image Understanding, pp. 74–77, Ettlingen, Germany, 20 August 2007
Colantonio S., Gurevich I., Martinelli M., Salvetti O., Trusova Y.
A Cell Image Analysis Ontology - CIAO - is introduced for aiding the automation of quantitative cytological analysis. CIAO aims at standardizing the cytology and cytometry terminology and structuring domains inherent cell biology, microscopy and feature-based analysis of microscopic images, by introducing their formal and precise formulation. As a result, we present a tool developed for testing CIAO in the diagnosis of haematopoietic diseases.Source: 7th Open German/Russian Workshop on Pattern Recognition and Image Understanding, pp. 74–77, Ettlingen, Germany, 20 August 2007
See at: CNR ExploRA
2007
Conference article
Unknown
Ontology driven approach to image understanding
Asirelli P., Colantonio S., Gurevich I. B., Martinelli M., Salvetti O., Trusova Y.
In this paper, we describe an ontology-driven approach to image understanding. The main necessary kinds of ontologies are introduced and an algorithm ontology for image understanding is presented. To illustrate the validity of the approach, a case study on cell image analysis is discussed, introducing the corresponding domain ontologies.Source: 8th Internation Conference on Pattern Recognition and Image Analysis: New Information Technologies. PRIA8, Yoshkar-Ola, Russian Federation, 8-13 October 2007
Asirelli P., Colantonio S., Gurevich I. B., Martinelli M., Salvetti O., Trusova Y.
In this paper, we describe an ontology-driven approach to image understanding. The main necessary kinds of ontologies are introduced and an algorithm ontology for image understanding is presented. To illustrate the validity of the approach, a case study on cell image analysis is discussed, introducing the corresponding domain ontologies.Source: 8th Internation Conference on Pattern Recognition and Image Analysis: New Information Technologies. PRIA8, Yoshkar-Ola, Russian Federation, 8-13 October 2007
See at: CNR ExploRA
2007
Conference article
Unknown
An approach to decision support in heart failure
Colantonio S., Martinelli M., Moroni D., Salvetti O., Francesco P., Sciacqua A., Conforti D., Gualtieri A.
Chronic heart failure is a severe clinical syndrome among the most remarkable for prevalence and morbidity in the developed western countries. The European STREP project HEARTFAID aims at realizing an innovative platform of services which will improve the processes of diagnosis, prognosis and therapy provision in the heart failure domain. The core of the platform intelligence is a Clinical Decision Support System, designed by integrating innovative knowledge representation techniques and hybrid reasoning methods, and including advanced tools for the analysis of diagnostic data. In this paper we discuss how we are using semantic web technologies for implementing a real, significant clinical scenario, covering the clinical course of a heart failure patient.Source: Semantic Web Applications and Perspectives. SWAP 2007, pp. 160–169, Bari, Italy, 18-20 December 2007
Colantonio S., Martinelli M., Moroni D., Salvetti O., Francesco P., Sciacqua A., Conforti D., Gualtieri A.
Chronic heart failure is a severe clinical syndrome among the most remarkable for prevalence and morbidity in the developed western countries. The European STREP project HEARTFAID aims at realizing an innovative platform of services which will improve the processes of diagnosis, prognosis and therapy provision in the heart failure domain. The core of the platform intelligence is a Clinical Decision Support System, designed by integrating innovative knowledge representation techniques and hybrid reasoning methods, and including advanced tools for the analysis of diagnostic data. In this paper we discuss how we are using semantic web technologies for implementing a real, significant clinical scenario, covering the clinical course of a heart failure patient.Source: Semantic Web Applications and Perspectives. SWAP 2007, pp. 160–169, Bari, Italy, 18-20 December 2007
See at: CNR ExploRA
2007
Other
Unknown
HEARTFAID: A knowledge based Platform of Services for Supporting Medical-Clinical Management of Heat Failure within the Elderly Population - EU STREP FP6-IST-2005-027107
Colantonio S., Martinelli M., Moroni D., Salvetti O.
Not abstract available
Colantonio S., Martinelli M., Moroni D., Salvetti O.
Not abstract available
See at: CNR ExploRA
2007
Other
Unknown
Multimedia Semantics through Semantics, Computation and Learning - EU NoE FP6-507752
Asirelli P., Colantonio S., Martinelli M., Moroni D., Salvetti O., Tampucci M.
An abstract is not available
Asirelli P., Colantonio S., Martinelli M., Moroni D., Salvetti O., Tampucci M.
An abstract is not available
See at: CNR ExploRA
2007
Software
Unknown
4M: an Infrastructure for MultiMedia Metadata Management
Tampucci M., Martinelli M., Asirelli P., Salvetti O.
Infrastruttura web per l'acquisizione, archiviazione, annotazione e ricerca per similarità di informazioni multimediali codificate in metadati
Tampucci M., Martinelli M., Asirelli P., Salvetti O.
Infrastruttura web per l'acquisizione, archiviazione, annotazione e ricerca per similarità di informazioni multimediali codificate in metadati
See at: CNR ExploRA
2007
Report
Unknown
MUSCLE NoE - DN2.6 - An intermediate release of the 4M infrastructure and a report explaining who is using it and how
Asirelli P., De Chalendar G., Grefenstette G., Güdükbay U., Little S., Martinelli M., Perner P., Salvetti O., Tampucci M., Ulusoy Ö.
The Internet coming and the diffusion of devices for the production of multimedia information and the diffusion of low-cost personal computer have concurred to a multimedia documents increase; however the management, search and retrieval systems have not increased at the same level, so it is important to realize a system able to oppose to some redundancy problems and to a bad efficiency of the search and retrieval operations due to the lack of multimedia documents information. In this scenario, a wide variety of systems and architectures have been developed to manage multimedia metadata for a range of purposes. Each of these systems employs different underlying semantic and syntactic models to store, analyze and exchange data. Collaboration between members of the WP2 "Evaluation, Integration and Standards" and the E-Team "Integration of structural and semantic models for multimedia metadata management" aims at examining the difficulties in extracting and integrating multi-dimensional metadata from different sources and at achieving a better understanding of the semantic models used within our different projects. This report presents the state-of-the-art of the 4M infrastructure, discussing in particular both the main technical improvements and who is using it and how.Source: Project report, MUSCLE, Deliverable DN2.6, 2007
Asirelli P., De Chalendar G., Grefenstette G., Güdükbay U., Little S., Martinelli M., Perner P., Salvetti O., Tampucci M., Ulusoy Ö.
The Internet coming and the diffusion of devices for the production of multimedia information and the diffusion of low-cost personal computer have concurred to a multimedia documents increase; however the management, search and retrieval systems have not increased at the same level, so it is important to realize a system able to oppose to some redundancy problems and to a bad efficiency of the search and retrieval operations due to the lack of multimedia documents information. In this scenario, a wide variety of systems and architectures have been developed to manage multimedia metadata for a range of purposes. Each of these systems employs different underlying semantic and syntactic models to store, analyze and exchange data. Collaboration between members of the WP2 "Evaluation, Integration and Standards" and the E-Team "Integration of structural and semantic models for multimedia metadata management" aims at examining the difficulties in extracting and integrating multi-dimensional metadata from different sources and at achieving a better understanding of the semantic models used within our different projects. This report presents the state-of-the-art of the 4M infrastructure, discussing in particular both the main technical improvements and who is using it and how.Source: Project report, MUSCLE, Deliverable DN2.6, 2007
See at: CNR ExploRA
2007
Report
Open Access
Front-end functionalities of decision support and diagnostic data analysis services in heart failure management
Colantonio S., Martinelli M., Moroni D., Salvetti O.
This technical report details the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. The main focus of the document is on the needs of end-users of the HEARTFAID platform, as well as the functional specifications of the platform of services.Source: ISTI Technical reports, 2007
Colantonio S., Martinelli M., Moroni D., Salvetti O.
This technical report details the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. The main focus of the document is on the needs of end-users of the HEARTFAID platform, as well as the functional specifications of the platform of services.Source: ISTI Technical reports, 2007
See at:
ISTI Repository | CNR ExploRA
2007
Report
Unknown
Gestione automatizzata di metadati multimediali standard in database open-source XML nativo
Tampucci M., Martinelli M., Salvetti O.
Report on internal activity on infrastructure 4MSource: ISTI Technical reports, 2007
Tampucci M., Martinelli M., Salvetti O.
Report on internal activity on infrastructure 4MSource: ISTI Technical reports, 2007
See at: CNR ExploRA
2007
Other
Open Access
See at:
www.tecnoteca.it | CNR ExploRA
2007
Report
Unknown
Integrating multimedia metadata management systems
Little S., Martinelli M., Tampucci M., Asirelli P., Güdükbay U., Ulusoy Ö., Grefenstette G., De Chalendar G., Perner P.
A wide variety of systems and architectures have been developed to manage multimedia metadata for a range of purposes. Each of these systems employs different underlying semantic and syntactic models to record, analyze and exchange data. Collaboration between members of the MUSCLE network, an EU project, aims to examine the difficulties in extracting and integrating multi-dimensional metadata from different sources and modes and to achieve a better understanding of the semantic models used within our different projects. This article describes the similarities and differences between four independent projects and discusses three levels of integration (syntactic, feature-level semantics and domain semantics). An example scenario is presented to illustrate potential applications of the integrated systems.Source: ISTI Technical reports, 2007
Little S., Martinelli M., Tampucci M., Asirelli P., Güdükbay U., Ulusoy Ö., Grefenstette G., De Chalendar G., Perner P.
A wide variety of systems and architectures have been developed to manage multimedia metadata for a range of purposes. Each of these systems employs different underlying semantic and syntactic models to record, analyze and exchange data. Collaboration between members of the MUSCLE network, an EU project, aims to examine the difficulties in extracting and integrating multi-dimensional metadata from different sources and modes and to achieve a better understanding of the semantic models used within our different projects. This article describes the similarities and differences between four independent projects and discusses three levels of integration (syntactic, feature-level semantics and domain semantics). An example scenario is presented to illustrate potential applications of the integrated systems.Source: ISTI Technical reports, 2007
See at: CNR ExploRA
2007
Report
Open Access
Semantic Web tiny system
Martinelli M., Signore O.
W3C Italian Office realized Semantic Web Tiny System (SWTS), a system that collects references to public utility resources, like as Semantic Web related instruments and tools.Source: ISTI Technical reports, 2007
Martinelli M., Signore O.
W3C Italian Office realized Semantic Web Tiny System (SWTS), a system that collects references to public utility resources, like as Semantic Web related instruments and tools.Source: ISTI Technical reports, 2007
See at:
ISTI Repository | CNR ExploRA
2007
Report
Open Access
Servizio Materne e Nidi
Martinelli M., Livori S., Favilla A., Fabbri A., Casarosa V., Launaro G.
A Web Service to simplify subscriptions to schools' of the Comune di Livorno using the Digital Terrestrial TelevisionSource: ISTI Technical reports, 2007
Martinelli M., Livori S., Favilla A., Fabbri A., Casarosa V., Launaro G.
A Web Service to simplify subscriptions to schools' of the Comune di Livorno using the Digital Terrestrial TelevisionSource: ISTI Technical reports, 2007
See at:
ISTI Repository | puma.isti.cnr.it | CNR ExploRA
2007
Report
Unknown
Requirements and functional specifications of a clinical decision support system for the management of heart failure
Colantonio S., Martinelli M., Moroni D., Salvetti O.
This technical report details part of the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. HEARTFAID aims at defining efficient and effective health care delivery organization and management models for an optimal patients management in the field of cardiovascular diseases. An informative and decision support platform of services will be devised for improving all the processes related to diagnosis, prognosis, treatment and personalization of health care of the Heart Failure (HF) in elderly population. To this end, innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain will be opportunely integrated to design and develop an effective and reliable Clinical Decision Support System (CDSS): the HEARTFAID CDSS, corresponding to the core of HEARTFAID intelligence. This system will be able to process clinical knowledge and patient-related information, intelligently filtered, processed and presented at appropriate times, to enhance patient care. It will be devised as a service of the HEARTFAID platform for providing an effective support to the daily practice of the clinicians, by implementing adequate data processing algorithms, by providing guidelines to medical protocols as well as access to the knowledge base, by sending alarms in case of critical situations, and by supplying diagnostic suggestions. The first, fundamental step towards the design and development of the HEARTFAID CDSS consists in analysing the requirements and specifying the functional details of both data processing and decision support services. This is precisely the aim of this report.Source: ISTI Technical reports, 2007
Colantonio S., Martinelli M., Moroni D., Salvetti O.
This technical report details part of the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. HEARTFAID aims at defining efficient and effective health care delivery organization and management models for an optimal patients management in the field of cardiovascular diseases. An informative and decision support platform of services will be devised for improving all the processes related to diagnosis, prognosis, treatment and personalization of health care of the Heart Failure (HF) in elderly population. To this end, innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain will be opportunely integrated to design and develop an effective and reliable Clinical Decision Support System (CDSS): the HEARTFAID CDSS, corresponding to the core of HEARTFAID intelligence. This system will be able to process clinical knowledge and patient-related information, intelligently filtered, processed and presented at appropriate times, to enhance patient care. It will be devised as a service of the HEARTFAID platform for providing an effective support to the daily practice of the clinicians, by implementing adequate data processing algorithms, by providing guidelines to medical protocols as well as access to the knowledge base, by sending alarms in case of critical situations, and by supplying diagnostic suggestions. The first, fundamental step towards the design and development of the HEARTFAID CDSS consists in analysing the requirements and specifying the functional details of both data processing and decision support services. This is precisely the aim of this report.Source: ISTI Technical reports, 2007
See at: CNR ExploRA
2007
Other
Open Access
See at:
ISTI Repository | www.tecnoteca.it | CNR ExploRA
2007
Other
Unknown
WP3 M.U.S.C.L.E. Web Site
Martinelli M., Salvetti O.
Web site of the WP2 M.U.S.C.L.E. European Network of excellence
Martinelli M., Salvetti O.
Web site of the WP2 M.U.S.C.L.E. European Network of excellence
See at: CNR ExploRA | www.muscle.isti.cnr.it
2007
Bachelor thesis
Unknown
See at: CNR ExploRA
2007
Other
Unknown
Image annotations on the semantic web
Troncy R., Pan J. Z., Stamou G., Ivml, Van Ossenbruggen J., Halaschek-Wiener C., Simou N., Tzouvaras V., Anadiotis G., Dasiopoulou S., Salvetti O., Martinelli M.
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Troncy R., Pan J. Z., Stamou G., Ivml, Van Ossenbruggen J., Halaschek-Wiener C., Simou N., Tzouvaras V., Anadiotis G., Dasiopoulou S., Salvetti O., Martinelli M.
-
See at: CNR ExploRA
2007
Other
Unknown
Multimedia annotation interoperability framework
Tzouvaras V., Troncy R., Pan J. Z., Annamalai M., Anadiotis G., Asirelli P., Boll S., Celma O., Declerk T., Franz T., Halaschek Wiener C., Hausenblas M., Hildebrand M., Little S., Mannens E., Martinelli M., Pratikakis I., Salvetti O., Tsekeridou S., Tummarello G.
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Tzouvaras V., Troncy R., Pan J. Z., Annamalai M., Anadiotis G., Asirelli P., Boll S., Celma O., Declerk T., Franz T., Halaschek Wiener C., Hausenblas M., Hildebrand M., Little S., Mannens E., Martinelli M., Pratikakis I., Salvetti O., Tsekeridou S., Tummarello G.
-
See at: CNR ExploRA | www.w3.org
2007
Report
Closed Access
Towards the implementation of a clinical decision support system for the management of heart failure
Colantonio S., Martinelli M., Gualtieri A., Salvetti O.
This technical report details the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. HEARTFAID aims at defining efficient and effective health care delivery organization and management models for an -optimal? patients' management in the field of cardiovascular diseases. An informative and decision support platform of services will be devised for improving all the processes related to diagnosis, prognosis, treatment and personalization of health care of the Heart Failure (HF) in elderly population. To this end, innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain will be opportunely integrated to design and develop an effective and reliable Clinical Decision Support System (CDSS): the HEARTFAID CDSS, corresponding to the core of HEARTFAID intelligence. This system will be able to process clinical knowledge and patient-related information, intelligently filtered, processed and presented at appropriate times, to enhance patient care. It will be devised as a service of the HEARTFAID platform for providing an effective support to the daily practice of the clinicians, by implementing adequate data processing algorithms, by providing guidelines to medical protocols as well as access to the knowledge base, by sending alarms in case of critical situations, and by supplying diagnostic suggestions. This report follows the activities carried out for (i) investigating the methodological foundations of decision support theory and (ii) defining the requirements and functional specifications of the HEARTFAID CDSS. Its focus is on the instruments that should be adopted for the implementation activity. A deep investigation into issues inherent in current available technologies is herein provided, with the final aim of supplying the guidelines for the development of the HEARTFAID data processing and decision support services.Source: Project report, HEARTFAID, Deliverable D15, 2007
Project(s): HEARTFAID
Colantonio S., Martinelli M., Gualtieri A., Salvetti O.
This technical report details the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. HEARTFAID aims at defining efficient and effective health care delivery organization and management models for an -optimal? patients' management in the field of cardiovascular diseases. An informative and decision support platform of services will be devised for improving all the processes related to diagnosis, prognosis, treatment and personalization of health care of the Heart Failure (HF) in elderly population. To this end, innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain will be opportunely integrated to design and develop an effective and reliable Clinical Decision Support System (CDSS): the HEARTFAID CDSS, corresponding to the core of HEARTFAID intelligence. This system will be able to process clinical knowledge and patient-related information, intelligently filtered, processed and presented at appropriate times, to enhance patient care. It will be devised as a service of the HEARTFAID platform for providing an effective support to the daily practice of the clinicians, by implementing adequate data processing algorithms, by providing guidelines to medical protocols as well as access to the knowledge base, by sending alarms in case of critical situations, and by supplying diagnostic suggestions. This report follows the activities carried out for (i) investigating the methodological foundations of decision support theory and (ii) defining the requirements and functional specifications of the HEARTFAID CDSS. Its focus is on the instruments that should be adopted for the implementation activity. A deep investigation into issues inherent in current available technologies is herein provided, with the final aim of supplying the guidelines for the development of the HEARTFAID data processing and decision support services.Source: Project report, HEARTFAID, Deliverable D15, 2007
Project(s): HEARTFAID
See at:
puma.isti.cnr.it | CNR ExploRA
2007
Report
Closed Access
MUSCLE NoE - Report on the infrastructure and demonstrator for multimedia metadata management
Asirelli P., Lunardi M., Luperini E., Martinelli M., Salvetti O., Tampucci M.
The management and exchange of multimedia data is a hallenging area of research due to variety of formats, standards, and the many interesting planned applications. Semantic Web technologies are very promising to enable interoperability and integration of media. Many research groups are active in finding and proposing interesting solution or standards. Within MUSCLE, research is focusing on standards, technologies and techniques for integrating, exchanging and enhancing the use of multimedia within a variety of research areas. At ISTI-CNR, we studied and developed a prototype of infrastructure for MultiMedia Metadata Management (named 4M) that should support the integration of media from different sources. This infrastructure enables collection, analysis and integration of media for semantic annotation, search and retrieval. In order to design a modern and adequate system, we took into account the use of (i) Semantic Web technology, (ii) multimedia metadata standards, (iii) existing tools, and (iv) open-source software. In particular, we chose an open-source native-XML database (eXist) to implement the metadata management unit. During this work, many troubles were found in the actual available release of the database. As a consequence, we developed new operations that have been added at the libraries contained in the exist.jar file (java archive). These extensions have been submitted to the eXist developers and are now in a testing phase before their final insertion into a new correct release (https://sourceforge.net/tracker/?func=detail&atid=317691&aid=1597055&group_id=17691 ).Source: Project report, MUSCLE NoE, Deliverable DN3.4, 2007
Asirelli P., Lunardi M., Luperini E., Martinelli M., Salvetti O., Tampucci M.
The management and exchange of multimedia data is a hallenging area of research due to variety of formats, standards, and the many interesting planned applications. Semantic Web technologies are very promising to enable interoperability and integration of media. Many research groups are active in finding and proposing interesting solution or standards. Within MUSCLE, research is focusing on standards, technologies and techniques for integrating, exchanging and enhancing the use of multimedia within a variety of research areas. At ISTI-CNR, we studied and developed a prototype of infrastructure for MultiMedia Metadata Management (named 4M) that should support the integration of media from different sources. This infrastructure enables collection, analysis and integration of media for semantic annotation, search and retrieval. In order to design a modern and adequate system, we took into account the use of (i) Semantic Web technology, (ii) multimedia metadata standards, (iii) existing tools, and (iv) open-source software. In particular, we chose an open-source native-XML database (eXist) to implement the metadata management unit. During this work, many troubles were found in the actual available release of the database. As a consequence, we developed new operations that have been added at the libraries contained in the exist.jar file (java archive). These extensions have been submitted to the eXist developers and are now in a testing phase before their final insertion into a new correct release (https://sourceforge.net/tracker/?func=detail&atid=317691&aid=1597055&group_id=17691 ).Source: Project report, MUSCLE NoE, Deliverable DN3.4, 2007
See at:
puma.isti.cnr.it | CNR ExploRA
2007
Report
Unknown
Functional specifications of Data Processing and Decision Support Services
Colantonio S., Martinelli M., Moroni D., Asirelli P., Barcaro U., Bozzi E., Chimenti M., Pieri G., Salvetti O, Chiarugi F., Sakkalis V., Candelieri A., Conforti D., Costanzo D., Guido R., Lagani V., Perticone F., Sciacqua A., Gamberger D., Prcela M.
HEARTFAID aims at defining efficient and effective health care delivery organization and management models for an "optimal" patients' management in the field of cardiovascular diseases. An informative and decision support platform of services will be devised for improving all the processes related to diagnosis, prognosis, treatment and personalization of health care of the Heart Failure (HF) in elderly population. To this end, innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain will be opportunely integrated to design and develop an effective and reliable Clinical Decision Support System (CDSS): the HEARTFAID CDSS, corresponding to the core of HEARTFAID intelligence. This system will be able to process clinical knowledge and patient-related information, intelligently filtered, processed and presented at appropriate times, to enhance patient care. It will be devised as a service of the HEARTFAID platform for providing an effective support to the daily practice of the clinicians, by implementing adequate data processing algorithms, by providing guidelines to medical protocols as well as access to the knowledge base, by sending alarms in case of critical situations, and by supplying diagnostic suggestions. Two peculiar issues are involved in the development of the HEARTFAID CDSS for supporting medical decision making, i.e. innovative approaches for biomedical signal and image processing; robust and reliable reasoning approaches, based on Machine Learning and inference methodologies on declarative and procedural domain knowledge. The first, fundamental step towards the design and development of the HEARTFAID CDSS consists in analysing the requirements and specifying the functional details of both data processing and decision support services. These topics are the focus of this deliverable, which collects the results of Task T5.1, "Identification of representation features for signals and images processing", and Task T5.3, "Requirements and functional specification of the Decision Support System", of Work Package WP 5. A deep investigation into issues inherent in (i) data typologies and their characterization, (ii) reasoning methodologies, (iii) HEARTFAID CDSS logical- functional vision, and (iv) current available technologies are herein provided, with the final aim of supplying the guidelines for the development of the HEARTFAID data processing and decision support services. The document layout has two main "souls", addressing, from one side, all the methodological and technological aspects of signal and images processing, and from the other, all the topics related to decision support. Moreover, it is ideally divided into two parts: in the first part (Chapters 2, 3, and 4) the discussion consists of a revision of the State of the Art; whereas in the second part (Chapters 5, 6, 7, and 8) the attention is focused on the HEARTFAID specificity, regarding the final goal of the deliverable. More in detail, the document is organized as follows. At first, an introduction supplies an overview of the problems to face for reaching the HEARTFAID Grand Vision about the intelligent support to the medical decision making. In Chapter 2, the available diagnostic resources for signals and images acquisition are introduced, analysing their peculiarities, relevance to the HEARTFAID clinical domain, and open-problems. An overview of the principles of signal and image processing and of the mathematical models for features extraction is also provided. Afterwards, in the third chapter, a careful survey of the methodological foundations of decision support systems (DSS) is reported, discussing the main aspects of decision theory and typical DSS models and structures. According to HEARTFAID definition as a knowledge-based platform of services, medical domain knowledge plays a fundamental role in HEARTFAID decision support development. Thus, particular attention is reserved to the category of Expert Systems or Knowledge-based DSS, and related issues, such as knowledge representation and inference engine modelling. Clinical applications and topics inherent to CDSS, e.g. guidelines modelling, are widely addressed as well, for better understanding the design implications involved. The chapter ends with a discussion about the important issues regarding DSS design and success factors, which should be taken into account when devising the HEARTFAID CDSS. Chapter 4 reports a critical description and analysis of the available up-to-date technologies for both data processing and decision support services. In Chapter 5, the biomedical parameters, relevant to HF and selected by the medical partners, are critically reviewed in the perspective of data processing. From this analysis, the most relevant problem in data processing w.r.t. HEARTFAID platform is selected and the functional specifications of the planned signals and image processing are described. The HEARTFAID clinical decision making problems are deeply investigated in Chapter 6, in order to identify the overall objectives of the HEARTFAID CDSS, i.e. what it should accomplish and why, specifying the element of the knowledge to be formalized. The system requirements are defined responding to HF clinicians' needs, as also stated in the deliverable D5, in order to devise an efficient and usable system for supporting the medical personnel in their daily activity.Source: Project report, HEARTFAID, Deliverable D15, 2007
Project(s): HEARTFAID
Colantonio S., Martinelli M., Moroni D., Asirelli P., Barcaro U., Bozzi E., Chimenti M., Pieri G., Salvetti O, Chiarugi F., Sakkalis V., Candelieri A., Conforti D., Costanzo D., Guido R., Lagani V., Perticone F., Sciacqua A., Gamberger D., Prcela M.
HEARTFAID aims at defining efficient and effective health care delivery organization and management models for an "optimal" patients' management in the field of cardiovascular diseases. An informative and decision support platform of services will be devised for improving all the processes related to diagnosis, prognosis, treatment and personalization of health care of the Heart Failure (HF) in elderly population. To this end, innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain will be opportunely integrated to design and develop an effective and reliable Clinical Decision Support System (CDSS): the HEARTFAID CDSS, corresponding to the core of HEARTFAID intelligence. This system will be able to process clinical knowledge and patient-related information, intelligently filtered, processed and presented at appropriate times, to enhance patient care. It will be devised as a service of the HEARTFAID platform for providing an effective support to the daily practice of the clinicians, by implementing adequate data processing algorithms, by providing guidelines to medical protocols as well as access to the knowledge base, by sending alarms in case of critical situations, and by supplying diagnostic suggestions. Two peculiar issues are involved in the development of the HEARTFAID CDSS for supporting medical decision making, i.e. innovative approaches for biomedical signal and image processing; robust and reliable reasoning approaches, based on Machine Learning and inference methodologies on declarative and procedural domain knowledge. The first, fundamental step towards the design and development of the HEARTFAID CDSS consists in analysing the requirements and specifying the functional details of both data processing and decision support services. These topics are the focus of this deliverable, which collects the results of Task T5.1, "Identification of representation features for signals and images processing", and Task T5.3, "Requirements and functional specification of the Decision Support System", of Work Package WP 5. A deep investigation into issues inherent in (i) data typologies and their characterization, (ii) reasoning methodologies, (iii) HEARTFAID CDSS logical- functional vision, and (iv) current available technologies are herein provided, with the final aim of supplying the guidelines for the development of the HEARTFAID data processing and decision support services. The document layout has two main "souls", addressing, from one side, all the methodological and technological aspects of signal and images processing, and from the other, all the topics related to decision support. Moreover, it is ideally divided into two parts: in the first part (Chapters 2, 3, and 4) the discussion consists of a revision of the State of the Art; whereas in the second part (Chapters 5, 6, 7, and 8) the attention is focused on the HEARTFAID specificity, regarding the final goal of the deliverable. More in detail, the document is organized as follows. At first, an introduction supplies an overview of the problems to face for reaching the HEARTFAID Grand Vision about the intelligent support to the medical decision making. In Chapter 2, the available diagnostic resources for signals and images acquisition are introduced, analysing their peculiarities, relevance to the HEARTFAID clinical domain, and open-problems. An overview of the principles of signal and image processing and of the mathematical models for features extraction is also provided. Afterwards, in the third chapter, a careful survey of the methodological foundations of decision support systems (DSS) is reported, discussing the main aspects of decision theory and typical DSS models and structures. According to HEARTFAID definition as a knowledge-based platform of services, medical domain knowledge plays a fundamental role in HEARTFAID decision support development. Thus, particular attention is reserved to the category of Expert Systems or Knowledge-based DSS, and related issues, such as knowledge representation and inference engine modelling. Clinical applications and topics inherent to CDSS, e.g. guidelines modelling, are widely addressed as well, for better understanding the design implications involved. The chapter ends with a discussion about the important issues regarding DSS design and success factors, which should be taken into account when devising the HEARTFAID CDSS. Chapter 4 reports a critical description and analysis of the available up-to-date technologies for both data processing and decision support services. In Chapter 5, the biomedical parameters, relevant to HF and selected by the medical partners, are critically reviewed in the perspective of data processing. From this analysis, the most relevant problem in data processing w.r.t. HEARTFAID platform is selected and the functional specifications of the planned signals and image processing are described. The HEARTFAID clinical decision making problems are deeply investigated in Chapter 6, in order to identify the overall objectives of the HEARTFAID CDSS, i.e. what it should accomplish and why, specifying the element of the knowledge to be formalized. The system requirements are defined responding to HF clinicians' needs, as also stated in the deliverable D5, in order to devise an efficient and usable system for supporting the medical personnel in their daily activity.Source: Project report, HEARTFAID, Deliverable D15, 2007
Project(s): HEARTFAID
See at: CNR ExploRA
2007
Report
Unknown
Ontologies and knowledge representation
Conforti D., Di Bona S., Salvetti O., Martinelli M., Chiarugi F., Gamberger D., Tomislav ?muc, Malenica M., Prcela M., Horvat R.
This deliverable is about Ontologies and knowledge representation in the Heartfaid project.Source: Project report, HEARTFAID, Deliverable D22, 2007
Project(s): HEARTFAID
Conforti D., Di Bona S., Salvetti O., Martinelli M., Chiarugi F., Gamberger D., Tomislav ?muc, Malenica M., Prcela M., Horvat R.
This deliverable is about Ontologies and knowledge representation in the Heartfaid project.Source: Project report, HEARTFAID, Deliverable D22, 2007
Project(s): HEARTFAID
See at: CNR ExploRA
2007
Contribution to conference
Open Access
An approach to decision support in heart failure
Colantonio S., Martinelli M., Moroni D., Salvetti O., Perticone F., Sciacqua A., Conforti D., Gualtieri A.
Chronic heart failure is a severe clinical syndrome among the most remarkable for prevalence and morbidity in the developed western countries. The European STREP project HEARTFAID aims at realizing an innovative platform of services which will improve the processes of diagnosis, prognosis and therapy provision in the heart failure domain. The core of the platform intelligence is a Clinical Decision Support System, designed by integrating innovative knowledge representation techniques and hybrid reasoning methods, and including advanced tools for the analysis of diagnostic data. In this paper we discuss how we are using semantic web technologies for implementing a real, significant clinical scenario, covering the clinical course of a heart failure patient.Source: SWAP 2007 - Semantic Web Applications and Perspectives, Bari, Italy, 18-20/12/2007
Project(s): HEARTFAID
Colantonio S., Martinelli M., Moroni D., Salvetti O., Perticone F., Sciacqua A., Conforti D., Gualtieri A.
Chronic heart failure is a severe clinical syndrome among the most remarkable for prevalence and morbidity in the developed western countries. The European STREP project HEARTFAID aims at realizing an innovative platform of services which will improve the processes of diagnosis, prognosis and therapy provision in the heart failure domain. The core of the platform intelligence is a Clinical Decision Support System, designed by integrating innovative knowledge representation techniques and hybrid reasoning methods, and including advanced tools for the analysis of diagnostic data. In this paper we discuss how we are using semantic web technologies for implementing a real, significant clinical scenario, covering the clinical course of a heart failure patient.Source: SWAP 2007 - Semantic Web Applications and Perspectives, Bari, Italy, 18-20/12/2007
Project(s): HEARTFAID
See at:
ISTI Repository | CNR ExploRA
2006
Conference article
Unknown
An infrastructure for multimedia metadata management
Asirelli P., Martinelli M., Salvetti O.
This paper presents an approach for the integration of multimedia metadata and their management based on Semantic Web technology. In par-ticular, we propose a java-based Infrastructure for MultiMedia Metadata Man-agement - 4M - composed of five main components, an MPEG-7 feature proc-essing unit, an XML database management unit, an algorithms ontology-exploiting unit, a multimedia semantic annotation and integration units. This way, we intend to introduce the novel idea of managing also algorithms on a variety of multimedia metadata (audio, images and videos) to add the capability of tracking data processing. This work is mainly carried out in the framework of the European Network of Excellence MUSCLE (Multimedia Understanding through Semantics, Computation and Learning), where ISTI-CNR is leading the 'Representation and Communication of Data and Metadata' Workpackage.Source: First International Workshop on Semantic Web Annotations for Multimedia (SWAMM 2006), pp. 1, Edinburgh, 22/05/2006
Asirelli P., Martinelli M., Salvetti O.
This paper presents an approach for the integration of multimedia metadata and their management based on Semantic Web technology. In par-ticular, we propose a java-based Infrastructure for MultiMedia Metadata Man-agement - 4M - composed of five main components, an MPEG-7 feature proc-essing unit, an XML database management unit, an algorithms ontology-exploiting unit, a multimedia semantic annotation and integration units. This way, we intend to introduce the novel idea of managing also algorithms on a variety of multimedia metadata (audio, images and videos) to add the capability of tracking data processing. This work is mainly carried out in the framework of the European Network of Excellence MUSCLE (Multimedia Understanding through Semantics, Computation and Learning), where ISTI-CNR is leading the 'Representation and Communication of Data and Metadata' Workpackage.Source: First International Workshop on Semantic Web Annotations for Multimedia (SWAMM 2006), pp. 1, Edinburgh, 22/05/2006
See at: CNR ExploRA
2006
Conference article
Unknown
MultiMedia metadata management: a proposal for an infrastructure
Asirelli P., Little S., Martinelli M., Salvetti O.
The management and exchange of multimedia data is a challenging area of research due to the variety of formats,standards and the many interesting intended applications. Semantic web technologies are very promising to enable interoperability and integration of media. Many research groups are active in finding and proposing interesting solutions or standards. Within the MUSCLE NoE research is focusing on standards, technologies and techniques for integrating,exchanging and enhancing the use of multimedia within a variety of research areas. At CNR ISTI, we are developing an infrastructure for MultiMedia Metadata Management (4M) to support the integration of media from different sources. This infrastructure enables the collection, analysis and integration of media for semantic annotation, search and retrieval. In this paper we discuss the independent units that are used within the infrastructure and the semantic web technologies that are being used to support them.Source: Semantic Web Applications and Perspectives, SWAP 2006, Pisa, 18-20712/2006
Asirelli P., Little S., Martinelli M., Salvetti O.
The management and exchange of multimedia data is a challenging area of research due to the variety of formats,standards and the many interesting intended applications. Semantic web technologies are very promising to enable interoperability and integration of media. Many research groups are active in finding and proposing interesting solutions or standards. Within the MUSCLE NoE research is focusing on standards, technologies and techniques for integrating,exchanging and enhancing the use of multimedia within a variety of research areas. At CNR ISTI, we are developing an infrastructure for MultiMedia Metadata Management (4M) to support the integration of media from different sources. This infrastructure enables the collection, analysis and integration of media for semantic annotation, search and retrieval. In this paper we discuss the independent units that are used within the infrastructure and the semantic web technologies that are being used to support them.Source: Semantic Web Applications and Perspectives, SWAP 2006, Pisa, 18-20712/2006
See at: CNR ExploRA
2006
Contribution to conference
Unknown
Collaborative virtual working environments for medical expertise sharing
Di Bona S., Asirelli P., Salvetti O., Martinelli M., Fontanelli R., Guerri D.
In several professional and highly specialized contexts there is an increasing need to share, combine and exploit what is deemed "expertise", that is knowledge, methods, approaches and theories, but also studies, discoveries and so on. In a high technological and frenetic society, the common dissemination channels are not anymore sufficient, while innovative Collaborative Work Environments (CWEs) able to provide advanced supporting services for the everyday activity of professionals become essential. The medical domain is particularly starving of "knowledge sharing". Our experience, in fact, revealed that the research initiatives in the healthcare context are mainly focused on "data" instead of "knowledge", i.e. on designing suitable databases of profiles and procedures, as well as defining precise standards and protocols, with the goal to provide interoperability and seamless interaction among the actors operating in this environment. However, there is the increasing necessity of innovative solutions based on the concept Virtual Working Environments (VWE) where distributed, heterogeneous and complementary resources and know-how can be shared and combined with the goal to offer added-value services to the end-users [1-3]. Objective: Medical services should allow, on one side, the patients to be actors of a "Virtual Hospital" accessible everywhere and anywhere to get and provide information, and, on the other side, the domain professionals and decision makers to count on a distributed and reliable platform of services to support their daily activity and the diagnostic processes.Source: 11th World Congress on Internet in Medicine. MEDNET 2006 Abstract., Toronto, Canada, 14-19/10/2006
Di Bona S., Asirelli P., Salvetti O., Martinelli M., Fontanelli R., Guerri D.
In several professional and highly specialized contexts there is an increasing need to share, combine and exploit what is deemed "expertise", that is knowledge, methods, approaches and theories, but also studies, discoveries and so on. In a high technological and frenetic society, the common dissemination channels are not anymore sufficient, while innovative Collaborative Work Environments (CWEs) able to provide advanced supporting services for the everyday activity of professionals become essential. The medical domain is particularly starving of "knowledge sharing". Our experience, in fact, revealed that the research initiatives in the healthcare context are mainly focused on "data" instead of "knowledge", i.e. on designing suitable databases of profiles and procedures, as well as defining precise standards and protocols, with the goal to provide interoperability and seamless interaction among the actors operating in this environment. However, there is the increasing necessity of innovative solutions based on the concept Virtual Working Environments (VWE) where distributed, heterogeneous and complementary resources and know-how can be shared and combined with the goal to offer added-value services to the end-users [1-3]. Objective: Medical services should allow, on one side, the patients to be actors of a "Virtual Hospital" accessible everywhere and anywhere to get and provide information, and, on the other side, the domain professionals and decision makers to count on a distributed and reliable platform of services to support their daily activity and the diagnostic processes.Source: 11th World Congress on Internet in Medicine. MEDNET 2006 Abstract., Toronto, Canada, 14-19/10/2006
See at: CNR ExploRA
2006
Contribution to book
Unknown
Algorithm representation use case
Martinelli M., Salvetti O., Little S., Asirelli P.
Algorithms for image analysis are difficult to manage, understand and apply, particularly for non-expert users. For instance, a researcher needs to reduce the noise and improve the contrast in a radiology image prior to analysis and interpretation but is unfamiliar with the specific algorithms that could apply in this instance. In addition, many applications require the processes applied to media to be concisely recorded for re-use, re-evaluation or integration with other analysis data. Quantifying and integrating knowledge, particularly visual outcomes, about algorithms for media is a challenging problem.Source: Multimedia Annotation Interoperability Framework, edited by W3C, 2006
Martinelli M., Salvetti O., Little S., Asirelli P.
Algorithms for image analysis are difficult to manage, understand and apply, particularly for non-expert users. For instance, a researcher needs to reduce the noise and improve the contrast in a radiology image prior to analysis and interpretation but is unfamiliar with the specific algorithms that could apply in this instance. In addition, many applications require the processes applied to media to be concisely recorded for re-use, re-evaluation or integration with other analysis data. Quantifying and integrating knowledge, particularly visual outcomes, about algorithms for media is a challenging problem.Source: Multimedia Annotation Interoperability Framework, edited by W3C, 2006
See at: CNR ExploRA
2006
Contribution to book
Unknown
Call for a common multimedia ontology framework requirements
Asirelli P., Martinelli M., Salvetti O.
The need for a common multimedia ontology comes out from the research experience of our team, both in the framework of a Network of Excellence (MUSCLE- Multimedia Understanding through Semantics, Computation and Logic) and of a collaboration with the Russian Academy of Sciences (RAS). Within the MUSCLE-NoE, we are working to show possible strategies for the interoperability of multimedia groups. ISTI is in fact leading the WP9 Working Group (Representation and Communication of Data and Meta-Data), particularly dedicated to enabling interaction and exchange of meta-data emanating from different MultiMedia modalities. This requires standardization of data and meta-data formats and thus we have been interested in analyzing requirements for multimedia elaborations and made a state of the art study of possible standard schemas and frameworks (see http://si-lab.isti.cnr.it and http://muscle.isti.cnr.it web sites for details). In the end, we have to acknowledge the need to extend the available technology towards multimedia ontologies. To add more semantics in order to be able to handle applications that require annotation, retrieval, summarization of multimedia documents. Furthermore, the extension has to be done in line with Semantic Web technology, to provide for easiness of integration and interoperability with other existing applications and tools and widespread among different communities of users.Source: Towards a Common Multimedia Ontology Framework, edited by Hariklia Eleftherohorinou, Vasiliki Zervaki, Anastasios Gounaris, Vasileios Papastathis, Yiannis Kompatsiaris, Paola Hobson, pp. 1–5. London: Acemedia, 2006
Asirelli P., Martinelli M., Salvetti O.
The need for a common multimedia ontology comes out from the research experience of our team, both in the framework of a Network of Excellence (MUSCLE- Multimedia Understanding through Semantics, Computation and Logic) and of a collaboration with the Russian Academy of Sciences (RAS). Within the MUSCLE-NoE, we are working to show possible strategies for the interoperability of multimedia groups. ISTI is in fact leading the WP9 Working Group (Representation and Communication of Data and Meta-Data), particularly dedicated to enabling interaction and exchange of meta-data emanating from different MultiMedia modalities. This requires standardization of data and meta-data formats and thus we have been interested in analyzing requirements for multimedia elaborations and made a state of the art study of possible standard schemas and frameworks (see http://si-lab.isti.cnr.it and http://muscle.isti.cnr.it web sites for details). In the end, we have to acknowledge the need to extend the available technology towards multimedia ontologies. To add more semantics in order to be able to handle applications that require annotation, retrieval, summarization of multimedia documents. Furthermore, the extension has to be done in line with Semantic Web technology, to provide for easiness of integration and interoperability with other existing applications and tools and widespread among different communities of users.Source: Towards a Common Multimedia Ontology Framework, edited by Hariklia Eleftherohorinou, Vasiliki Zervaki, Anastasios Gounaris, Vasileios Papastathis, Yiannis Kompatsiaris, Paola Hobson, pp. 1–5. London: Acemedia, 2006
See at: CNR ExploRA
2006
Report
Unknown
MUSCLE NoE - CO 7 WP 9 Requirements of XML- database for media descriptors
Martinelli M., Salvetti O.
Requirements of XML-database for media descriptorsSource: Project report, MUSCLE, 2006
Martinelli M., Salvetti O.
Requirements of XML-database for media descriptorsSource: Project report, MUSCLE, 2006
See at: CNR ExploRA
2006
Report
Open Access
MUSCLE NoE D9-8 - 9.2 Upgrade of structuring tools for standardization and exchange of data, meta-data and semantics
Martinelli M., Salvetti O.
WP9 concerns primarily with defining a strategy for the NoE to develop, maintain, and provide access to multimedia metadata and data sets. It aims at providing an integrated metadata environment able to support different metadata standards and uses (browsing, search, translations, etc.)Source: Project report, MUSCLE, 2006
Martinelli M., Salvetti O.
WP9 concerns primarily with defining a strategy for the NoE to develop, maintain, and provide access to multimedia metadata and data sets. It aims at providing an integrated metadata environment able to support different metadata standards and uses (browsing, search, translations, etc.)Source: Project report, MUSCLE, 2006
See at:
ISTI Repository | CNR ExploRA
2006
Report
Open Access
MUSCLE NoE - 2.1 Showcase: Generating and integrating MPEG-7 compliant metadata from images and videos for spatio-temporal, semantic, and feature query processing
Asirelli P., Little S., Martinelli M., Salvetti O., Gudukbay U.
Muscle ShowcaseSource: Project report, MUSCLE, 2006
Asirelli P., Little S., Martinelli M., Salvetti O., Gudukbay U.
Muscle ShowcaseSource: Project report, MUSCLE, 2006
See at:
ISTI Repository | CNR ExploRA
2006
Report
Unknown
MUSCLE NoE - WP9.6 Report on representation models and strategies
Pieri G., Martinelli M., Asirelli P., Salvetti O.
Report on representation models and strategies
Pieri G., Martinelli M., Asirelli P., Salvetti O.
Report on representation models and strategies
See at: CNR ExploRA
2006
Report
Unknown
Contributes to accessibility and usability: the case of the Web site of a research institute
Leporini B., Martinelli M.
Creating a web site is a complex task which involves many aspects such as massive information structure, information daily updating, accessibility and usability issues. It is crucial to plan in details a site and its future maintainability, structuring information and, at the same time, it's important to write pages in a way suitable by assistive technologies used by people with disabilities, which represent a significant percentage of the users. Aim of this paper is to analyze specific solutions we have adopted to improve the Web site of the Institute of Information Science and Technologies ( http://www.isti.cnr.it/ ), an institute of the National Research Council (ISTI-CNR), in terms of accessibility and usability, like ordered lists for adjacent links, heading levels and hidden labels, automatic assignment of tabbing order. Some approaches to Web pages development, in order to make easy to create a site, are also discussed.Source: ISTI Technical reports, 2006
Leporini B., Martinelli M.
Creating a web site is a complex task which involves many aspects such as massive information structure, information daily updating, accessibility and usability issues. It is crucial to plan in details a site and its future maintainability, structuring information and, at the same time, it's important to write pages in a way suitable by assistive technologies used by people with disabilities, which represent a significant percentage of the users. Aim of this paper is to analyze specific solutions we have adopted to improve the Web site of the Institute of Information Science and Technologies ( http://www.isti.cnr.it/ ), an institute of the National Research Council (ISTI-CNR), in terms of accessibility and usability, like ordered lists for adjacent links, heading levels and hidden labels, automatic assignment of tabbing order. Some approaches to Web pages development, in order to make easy to create a site, are also discussed.Source: ISTI Technical reports, 2006
See at: CNR ExploRA
2006
Report
Unknown
Methodological foundation of decision support systems
Colantonio S., Martinelli M.
This technical report details the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. HEARTFAID aims at defining efficient and effective health care delivery organization and management models for an optimal patients management in the field of cardiovascular diseases. An informative and decision support platform of services will be devised for improving all the processes related to diagnosis, prognosis, treatment and personalization of health care of the Heart Failure (HF) in elderly population. To this end, innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain will be opportunely integrated to design and develop an effective and reliable Clinical Decision Support System (CDSS): the HEARTFAID CDSS, corresponding to the core of HEARTFAID intelligence. This system will be able to process clinical knowledge and patient-related information, intelligently filtered, processed and presented at appropriate times, to enhance patient care. It will be devised as a service of the HEARTFAID platform for providing an effective support to the daily practice of the clinicians, by implementing adequate data processing algorithms, by providing guidelines to medical protocols as well as access to the knowledge base, by sending alarms in case of critical situations, and by supplying diagnostic suggestions. The main focus of this report is a revision of the State of the Art of decision support systems with emphasis on clinical decision support systems. This work was carried out as a preliminary study toward the actual implementation of the HEARTFAID CDSS.Source: ISTI Technical reports, 2006
Colantonio S., Martinelli M.
This technical report details the activity carried out within the European Project HEARTFAID, a knowledge based platform of services for supporting medical-clinical management of the heart failure within the elderly population. HEARTFAID aims at defining efficient and effective health care delivery organization and management models for an optimal patients management in the field of cardiovascular diseases. An informative and decision support platform of services will be devised for improving all the processes related to diagnosis, prognosis, treatment and personalization of health care of the Heart Failure (HF) in elderly population. To this end, innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and the medical knowledge of the relevant domain will be opportunely integrated to design and develop an effective and reliable Clinical Decision Support System (CDSS): the HEARTFAID CDSS, corresponding to the core of HEARTFAID intelligence. This system will be able to process clinical knowledge and patient-related information, intelligently filtered, processed and presented at appropriate times, to enhance patient care. It will be devised as a service of the HEARTFAID platform for providing an effective support to the daily practice of the clinicians, by implementing adequate data processing algorithms, by providing guidelines to medical protocols as well as access to the knowledge base, by sending alarms in case of critical situations, and by supplying diagnostic suggestions. The main focus of this report is a revision of the State of the Art of decision support systems with emphasis on clinical decision support systems. This work was carried out as a preliminary study toward the actual implementation of the HEARTFAID CDSS.Source: ISTI Technical reports, 2006
See at: CNR ExploRA
2006
Contribution to conference
Unknown
Information System for the Italian polar research
Rafanelli C., Castorina M., Salvetti O., Benedetti E., Damiani A., Di Bono M. G., Martinelli M., Piervitali E., Testa L., Vitale V., Storini M.
-Source: XXIX SCAR & COMNAP XVIII Meeting, Hobart, Tasmania, 12/07/2006,13/07/2006, 14/07/2006
Rafanelli C., Castorina M., Salvetti O., Benedetti E., Damiani A., Di Bono M. G., Martinelli M., Piervitali E., Testa L., Vitale V., Storini M.
-Source: XXIX SCAR & COMNAP XVIII Meeting, Hobart, Tasmania, 12/07/2006,13/07/2006, 14/07/2006
See at: CNR ExploRA
2006
Contribution to conference
Unknown
Information System for the Italian polar research
Benedetti E., Damiani A., Rafanelli C., Castorina M., Salvetti O., Storini M., Testa L., Vitale V., Martinelli M.
-Source: Polar Libraries Colloquium, Roma, 08/05/2006,12/05/2006,09/05/2006,10/05/2006,11/05/2006,12/05/2006
Benedetti E., Damiani A., Rafanelli C., Castorina M., Salvetti O., Storini M., Testa L., Vitale V., Martinelli M.
-Source: Polar Libraries Colloquium, Roma, 08/05/2006,12/05/2006,09/05/2006,10/05/2006,11/05/2006,12/05/2006
See at: CNR ExploRA
2006
Report
Restricted
Algorithm representation use case
Martinelli M., Salvetti O., Little S., Asirelli P.
Algorithms for image analysis are difficult to manage, understand and apply, particularly for non-expert users. For instance, a researcher needs to reduce the noise and improve the contrast in a radiology image prior to analysis and interpretation but is unfamiliar with the specific algorithms that could apply in this instance. In addition, many applications require the processes applied to media to be concisely recorded for re-use, re-evaluation or integration with other analysis data. Quantifying and integrating knowledge, particularly visual outcomes, about algorithms for media is a challenging problem.Source: ISTI Working papers, 2006
Martinelli M., Salvetti O., Little S., Asirelli P.
Algorithms for image analysis are difficult to manage, understand and apply, particularly for non-expert users. For instance, a researcher needs to reduce the noise and improve the contrast in a radiology image prior to analysis and interpretation but is unfamiliar with the specific algorithms that could apply in this instance. In addition, many applications require the processes applied to media to be concisely recorded for re-use, re-evaluation or integration with other analysis data. Quantifying and integrating knowledge, particularly visual outcomes, about algorithms for media is a challenging problem.Source: ISTI Working papers, 2006
See at:
puma.isti.cnr.it | CNR ExploRA
2006
Other
Unknown
MUSCLE-NoE WP2 Web-Repository
Martinelli M.
WP2 objectives The principal objective of this workpackage is to co-ordinate activities that facilitate within and between research workpackage collaboration. This principal objective can be divided into several specific objectives that are placed into 3 groups: evaluation, standards and computation.
Martinelli M.
WP2 objectives The principal objective of this workpackage is to co-ordinate activities that facilitate within and between research workpackage collaboration. This principal objective can be divided into several specific objectives that are placed into 3 groups: evaluation, standards and computation.
See at: muscle.isti.cnr.it | CNR ExploRA
2006
Report
Unknown
Functional specifications of the Middleware
Biniaris C., Louloudakis S., Di Bona S., Martinelli M., Chiarugi F., Sakkalis V.
The HEARTFAID (HF) project aims to devise, design, develop and deploy advanced and innovative computerized systems and services that, by collecting, integrating and processing all relevant biomedical data and information, are able to improve medical knowledge and make more effective and efficient all the processes related to diagnosis, prognosis, treatment and personalization of the Heart Failure care in elderly patients. This general goal will be achieved by: o developing an innovative technological platform for informative and decision support, which can make the procedures of diagnosis, prognosis and therapy more effective and reliable for the patient and optimal in the use of medical and clinical resources. This platform, by exploiting innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and using the medical knowledge of the relevant domain, is able to effectively integrate and process biomedical data and information at different levels of structure; o defining new health care delivery organization and management models for the relevant domain, which may result in more effective and efficient use of the needed total resources (health care operators, health care equipments, financial resources). A key work-package to achieve the first point is WP3 - MIDDLEWARE, INTEROPERABILITY AND INTEGRATION, which has the main goal to analyse, design and implement the core software architecture of the HEARTFAID platform, i.e. the Middleware. The Middleware is responsible to guarantee the integration and the interoperability among all the modules of the platform, as well as of the services provided to the end-users. As described in the Description of Work (DoW) of the project concerning the architectural design of the platform, the Middleware has been decomposed into two different, but integrated, levels: the Interoperability Middleware and the Integration Middleware. The first level has the main objective to guarantee the interoperability of the HEARTFAID system components and, using the approach of service-oriented integration, to integrate the functionalities the platform will provide to the end users, while the second level has the goal to design and develop a Data Management System that is responsible to guarantee the following features: all the data flowing within the entire platform are compliant with the standards identified in work-package WP3; management of the heterogeneous repository in order to allow the treatment of raw data, laboratory data, structured information (Electronic Patient Record (EPR), data entry services, and so on), multimedia and other data (reports, images, ultrasound signals, and so on). The first fundamental step for the attainment of these objectives, is to analyse the requirements of the final users, and hence of the platform, and to define the functional specifications of the platform itself. This deliverable has the main goal to analyse the problems that should be faced to achieve the Grand Vision of the project, and to define the functional specifications of the different components of the Interoperability and Integration Middleware. In more details, this document has been organised as follows. At first, an introduction will provide a general overview about the Health Information Systems. The main international initiatives to standardise protocols, roles, messaging procedures and data encoding procedures, will be described. Moreover, the vision that will drive the design and development of the HEARTFAID Electronic Health Records will be presented. Afterwards, we will analyse the state of the art and the methodological foundations that will support the "application integration". The issue of interoperability, including data access, exchange, and integration becomes more and more sophisticate especially for medical companies and healthcare structures, due to the heterogeneity of the informative systems available. Therefore, at this level it is nowadays very important to adopt adequate standards for data encoding and communication. These standards and the most common approaches, when they are considered suitable for the purposes of the HF project, will be adopted when defining the main infrastructure of the HF platform of services, i.e. the middleware. After a description of the state of the art on the most advanced solution able to support interoperability, we will analyse the requirements that the middleware should satisfy. These requirements are mainly concerned with interoperability issues of the healthcare structures. In fact, although health organizations are important users of the Information Technology, each of them and the system implemented typically use their own protocols and adopts different standards, principally because there is a lack of divulgation of information concerning standards. Furthermore, concerning data retention and exchange, information models in use are not always based on standards, and even when they are, such standards are not interoperable and even not enough spread within the stakeholders. Typically those solutions address the needs for local administration and management of services, that when available are not supported by its own ontology. Thus, health information is sparse, and with severe interoperability problems as people move across borders or even across health systems independently of the place. In the future, interoperability will enable the seamless integration of any Health heterogeneous systems. Thus, health data will be made available independently of the standards adopted for retrieving and exchanging information. A visionary future seeks a methodology to enhance organization's interoperability, keeping he same organization's technical and operational environment, improving its methods of work and the usability of the installed technology through ontological harmonization of the organization's models in use. Procedures will take complete care regarding ethics and privacy. This will allow secure and fast access to comparable public health data and to patient information located in different places over a wide variety of repositories and medical devices. After the requirements have been identified, we will analyse and define the functional specifications of the Interoperability and the Integration Middleware, as well as the issues related with the integration of the HF Decision Support System. In particular, the different components of the middleware layers will be described. The challenge of determining the functional specifications of each module lies in identifying the user needs and designing and implementing comprehensive and convenient interfaces, both with the final users and between the modules themselves. Since the Dow of the HEARTFAID project does not foresee a specific document on the design of the Middleware, we made a step forward with respect to the identification of the functional specifications and in Section 6 we will introduce some models that can be adopted in the subsequent implementation of the platform. Preliminary hardware specifications will also be identifies. Finally, due to the particular context in which the platform of services will operate and the sensibility of the data that will be handled, the security aspects related to safety, secrecy and privacy of data will examined.Source: Research report, HEARTFAID, D11, pp.1–91, 2006
Biniaris C., Louloudakis S., Di Bona S., Martinelli M., Chiarugi F., Sakkalis V.
The HEARTFAID (HF) project aims to devise, design, develop and deploy advanced and innovative computerized systems and services that, by collecting, integrating and processing all relevant biomedical data and information, are able to improve medical knowledge and make more effective and efficient all the processes related to diagnosis, prognosis, treatment and personalization of the Heart Failure care in elderly patients. This general goal will be achieved by: o developing an innovative technological platform for informative and decision support, which can make the procedures of diagnosis, prognosis and therapy more effective and reliable for the patient and optimal in the use of medical and clinical resources. This platform, by exploiting innovative results on computational modelling, knowledge discovery methodologies, visualization and imaging techniques, and using the medical knowledge of the relevant domain, is able to effectively integrate and process biomedical data and information at different levels of structure; o defining new health care delivery organization and management models for the relevant domain, which may result in more effective and efficient use of the needed total resources (health care operators, health care equipments, financial resources). A key work-package to achieve the first point is WP3 - MIDDLEWARE, INTEROPERABILITY AND INTEGRATION, which has the main goal to analyse, design and implement the core software architecture of the HEARTFAID platform, i.e. the Middleware. The Middleware is responsible to guarantee the integration and the interoperability among all the modules of the platform, as well as of the services provided to the end-users. As described in the Description of Work (DoW) of the project concerning the architectural design of the platform, the Middleware has been decomposed into two different, but integrated, levels: the Interoperability Middleware and the Integration Middleware. The first level has the main objective to guarantee the interoperability of the HEARTFAID system components and, using the approach of service-oriented integration, to integrate the functionalities the platform will provide to the end users, while the second level has the goal to design and develop a Data Management System that is responsible to guarantee the following features: all the data flowing within the entire platform are compliant with the standards identified in work-package WP3; management of the heterogeneous repository in order to allow the treatment of raw data, laboratory data, structured information (Electronic Patient Record (EPR), data entry services, and so on), multimedia and other data (reports, images, ultrasound signals, and so on). The first fundamental step for the attainment of these objectives, is to analyse the requirements of the final users, and hence of the platform, and to define the functional specifications of the platform itself. This deliverable has the main goal to analyse the problems that should be faced to achieve the Grand Vision of the project, and to define the functional specifications of the different components of the Interoperability and Integration Middleware. In more details, this document has been organised as follows. At first, an introduction will provide a general overview about the Health Information Systems. The main international initiatives to standardise protocols, roles, messaging procedures and data encoding procedures, will be described. Moreover, the vision that will drive the design and development of the HEARTFAID Electronic Health Records will be presented. Afterwards, we will analyse the state of the art and the methodological foundations that will support the "application integration". The issue of interoperability, including data access, exchange, and integration becomes more and more sophisticate especially for medical companies and healthcare structures, due to the heterogeneity of the informative systems available. Therefore, at this level it is nowadays very important to adopt adequate standards for data encoding and communication. These standards and the most common approaches, when they are considered suitable for the purposes of the HF project, will be adopted when defining the main infrastructure of the HF platform of services, i.e. the middleware. After a description of the state of the art on the most advanced solution able to support interoperability, we will analyse the requirements that the middleware should satisfy. These requirements are mainly concerned with interoperability issues of the healthcare structures. In fact, although health organizations are important users of the Information Technology, each of them and the system implemented typically use their own protocols and adopts different standards, principally because there is a lack of divulgation of information concerning standards. Furthermore, concerning data retention and exchange, information models in use are not always based on standards, and even when they are, such standards are not interoperable and even not enough spread within the stakeholders. Typically those solutions address the needs for local administration and management of services, that when available are not supported by its own ontology. Thus, health information is sparse, and with severe interoperability problems as people move across borders or even across health systems independently of the place. In the future, interoperability will enable the seamless integration of any Health heterogeneous systems. Thus, health data will be made available independently of the standards adopted for retrieving and exchanging information. A visionary future seeks a methodology to enhance organization's interoperability, keeping he same organization's technical and operational environment, improving its methods of work and the usability of the installed technology through ontological harmonization of the organization's models in use. Procedures will take complete care regarding ethics and privacy. This will allow secure and fast access to comparable public health data and to patient information located in different places over a wide variety of repositories and medical devices. After the requirements have been identified, we will analyse and define the functional specifications of the Interoperability and the Integration Middleware, as well as the issues related with the integration of the HF Decision Support System. In particular, the different components of the middleware layers will be described. The challenge of determining the functional specifications of each module lies in identifying the user needs and designing and implementing comprehensive and convenient interfaces, both with the final users and between the modules themselves. Since the Dow of the HEARTFAID project does not foresee a specific document on the design of the Middleware, we made a step forward with respect to the identification of the functional specifications and in Section 6 we will introduce some models that can be adopted in the subsequent implementation of the platform. Preliminary hardware specifications will also be identifies. Finally, due to the particular context in which the platform of services will operate and the sensibility of the data that will be handled, the security aspects related to safety, secrecy and privacy of data will examined.Source: Research report, HEARTFAID, D11, pp.1–91, 2006
See at: CNR ExploRA
2006
Software
Unknown
Users' groups eXtensions - Exist XML DB
Martinelli M., Tampucci M., Salvetti O.
In the frame of the "Representation and Communication of Data and Meta-Data" Work Package of the MUSCLE NoE (Multimedia Understanding through Semantics, Computation and Learning, Network of Excellence) we implemented a service that needs to manage XML files. We choose eXist as XML database cause we think it's actually the most mature open source XML database. During our work we needed to extend eXist owing to its lack in the management of user groups. In particular we added some methods to modify the information about the users' groups. Initially, we noticed that modifying a user (getting it's information from the remote db connection interfaces) the database would have lost his password ( userUpdate(User) method). It was not even possible to remove a group from the list of the groups a user belongs to. Then we have modified the classes RemoteUserManagementService, RpcConnection, RpcServer User and also the UserManagementService and the RpcAPI interfaces. In particolar we added the following methods: addUserGroup(User), removeGroup(User, String) in the RemoteUserManagementService class addUserGroup(User), removeGroup(User, String) in the UserManagementService interface setUser(User, String, Vector), setUser(User, String, Vector, String) in the RpcConnection class setUser(User, String, Vector, String), setUser(User, String, Vector, String, String) in the RpcServer class setUser(User, String, Vector, String), setUser(User, String, Vector, String, String) in the RpcAPI interface remGroup(String) in the User class Furthermore, being the UserManagementService interface implemented also by the LocalUserManagementService class we added the addUserGroup(User) and the removeGroup(User, String) methods.
Martinelli M., Tampucci M., Salvetti O.
In the frame of the "Representation and Communication of Data and Meta-Data" Work Package of the MUSCLE NoE (Multimedia Understanding through Semantics, Computation and Learning, Network of Excellence) we implemented a service that needs to manage XML files. We choose eXist as XML database cause we think it's actually the most mature open source XML database. During our work we needed to extend eXist owing to its lack in the management of user groups. In particular we added some methods to modify the information about the users' groups. Initially, we noticed that modifying a user (getting it's information from the remote db connection interfaces) the database would have lost his password ( userUpdate(User) method). It was not even possible to remove a group from the list of the groups a user belongs to. Then we have modified the classes RemoteUserManagementService, RpcConnection, RpcServer User and also the UserManagementService and the RpcAPI interfaces. In particolar we added the following methods: addUserGroup(User), removeGroup(User, String) in the RemoteUserManagementService class addUserGroup(User), removeGroup(User, String) in the UserManagementService interface setUser(User, String, Vector), setUser(User, String, Vector, String) in the RpcConnection class setUser(User, String, Vector, String), setUser(User, String, Vector, String, String) in the RpcServer class setUser(User, String, Vector, String), setUser(User, String, Vector, String, String) in the RpcAPI interface remGroup(String) in the User class Furthermore, being the UserManagementService interface implemented also by the LocalUserManagementService class we added the addUserGroup(User) and the removeGroup(User, String) methods.
See at: CNR ExploRA | sourceforge.net
2005
Journal article
Unknown
Representation and communication of multimedia data and metadata
Colantonio S., Di Bono M. G., Martinelli M., Pieri G., Salvetti O.
In recent years the increasing role of Multimedia (MM) data, in the form of still pictures, graphics, 3D models, audio, speech, video or their combination (eg MM presentations), in the real world, has lead to a demand for better procedures for the automatic generation and extraction of both low level and semantic features from multi-source data in order to enhance their potential for computational interpretation and processing.Source: ERCIM news 62 (2005): 27–30.
Colantonio S., Di Bono M. G., Martinelli M., Pieri G., Salvetti O.
In recent years the increasing role of Multimedia (MM) data, in the form of still pictures, graphics, 3D models, audio, speech, video or their combination (eg MM presentations), in the real world, has lead to a demand for better procedures for the automatic generation and extraction of both low level and semantic features from multi-source data in order to enhance their potential for computational interpretation and processing.Source: ERCIM news 62 (2005): 27–30.
See at: CNR ExploRA
2005
Conference article
Unknown
Toward a scalable multimedia metadata infrastructure using distributed computing and semantic web technologies
Asirelli P., Di Bono M. G., Martinelli M., Salvetti O., Signore O., Catasta M., Morbidoni C., Piazza F., Tummarello G.
This paper describes a research activity carried on in the frame of a collaboration among ISTI-CNR, leader of the 'Representation and Communication of Data and Metadata' Workpackage in the European Project MUSCLE-NoE('Multimedia Understanding through Semantics, Computation and Learning - Network of Excellence') and the Dept. of Electronics, A.I. & Telecommunications of the Polytechnic University of Marche. In particular, an original approach towards multimedia metadata handling and a solution for massive metadata processing, based on distributed computing, are presented. Besides, a tool kit that glues low level metadata with higherlevel representation capabilities of RDF is also approached.Source: 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, pp. 153–156, London, 30 November 30 - 1 December 2005
Asirelli P., Di Bono M. G., Martinelli M., Salvetti O., Signore O., Catasta M., Morbidoni C., Piazza F., Tummarello G.
This paper describes a research activity carried on in the frame of a collaboration among ISTI-CNR, leader of the 'Representation and Communication of Data and Metadata' Workpackage in the European Project MUSCLE-NoE('Multimedia Understanding through Semantics, Computation and Learning - Network of Excellence') and the Dept. of Electronics, A.I. & Telecommunications of the Polytechnic University of Marche. In particular, an original approach towards multimedia metadata handling and a solution for massive metadata processing, based on distributed computing, are presented. Besides, a tool kit that glues low level metadata with higherlevel representation capabilities of RDF is also approached.Source: 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies, pp. 153–156, London, 30 November 30 - 1 December 2005
See at: CNR ExploRA
2005
Contribution to conference
Open Access
Multimedia ontologies
Martinelli M., Salvetti O.
In the context of the EU Project 'Multimedia understanding through Semantic Computation and Learning'(MUSCLE-NoE) WP 9 'Representation and Communication of Data and Metadata' and of the ISTI-RAS agreement a Two-Level Ontology is described.Source: European Workshop on the Integration of Knowledge Semantic and Digital Media Technologies - Multimedia Ontology Meeting, IEE Savoy Place, London, 29 November -1 December 1, 2005
Martinelli M., Salvetti O.
In the context of the EU Project 'Multimedia understanding through Semantic Computation and Learning'(MUSCLE-NoE) WP 9 'Representation and Communication of Data and Metadata' and of the ISTI-RAS agreement a Two-Level Ontology is described.Source: European Workshop on the Integration of Knowledge Semantic and Digital Media Technologies - Multimedia Ontology Meeting, IEE Savoy Place, London, 29 November -1 December 1, 2005
See at:
ISTI Repository | CNR ExploRA
2005
Report
Unknown
Evaluation of the mobile NDT system
Incarnato C., Martinelli M., Santos F., Daffos O., De Bonnefoy N., Rolet S.
This document describes experiments and conclusion of Mobile NDT System evaluation workshop, that was held on January, 11th 2005 in EADS CCR facility in Toulouse.Source: ISTI Technical reports, 2005
Incarnato C., Martinelli M., Santos F., Daffos O., De Bonnefoy N., Rolet S.
This document describes experiments and conclusion of Mobile NDT System evaluation workshop, that was held on January, 11th 2005 in EADS CCR facility in Toulouse.Source: ISTI Technical reports, 2005
See at: CNR ExploRA
2005
Report
Unknown
Final report on smart assistance
Incarnato C., Martinelli M., Salvetti O., Cavaccini G.
The aim of this document is to describe the developed Web-system for remote NDT smart-assistanceSource: ISTI Technical reports, 2005
Incarnato C., Martinelli M., Salvetti O., Cavaccini G.
The aim of this document is to describe the developed Web-system for remote NDT smart-assistanceSource: ISTI Technical reports, 2005
See at: CNR ExploRA
2005
Report
Unknown
INDeT - Final Report on Smart Assistance
Incarnato C., Martinelli M., Salvetti O., Cavaccini G.
The aim of this document is to describe the developed Web-system for remote NDT smart-assistanceSource: Project report, INDeT, Deliverable D2-18, 2005
Project(s): INDET
Incarnato C., Martinelli M., Salvetti O., Cavaccini G.
The aim of this document is to describe the developed Web-system for remote NDT smart-assistanceSource: Project report, INDeT, Deliverable D2-18, 2005
Project(s): INDET
See at: CNR ExploRA
2005
Report
Unknown
INDeT - Evaluation of the Mobile NDT System
Incarnato C., Martinelli M., Santos F., Daffos O., De Bonnefoy N., Rolet S.
This document describes experiments and conclusion of Mobile NDT System evaluation workshop, that was held on January, 11th 2005 in EADS CCR facility in Toulouse.Source: Project report, INDeT, 2005
Project(s): INDET
Incarnato C., Martinelli M., Santos F., Daffos O., De Bonnefoy N., Rolet S.
This document describes experiments and conclusion of Mobile NDT System evaluation workshop, that was held on January, 11th 2005 in EADS CCR facility in Toulouse.Source: Project report, INDeT, 2005
Project(s): INDET
See at: CNR ExploRA
2005
Report
Unknown
INDeT - Design of Smart Assistance
Incarnato C., Martinelli M., Pianese V., Cavaccini G., Salvetti O.
The aim of this document is to design experiments reflecting typical diagnosis processes where remote assistance is required and to define a knowledge management tool for the "remote inspector" who is performing the smart assistance. The experiments are based on the communication architecture developed in Subtask 2.3.1.Source: Project report, INDeT, Deliverable D2-17, 2005
Project(s): INDET
Incarnato C., Martinelli M., Pianese V., Cavaccini G., Salvetti O.
The aim of this document is to design experiments reflecting typical diagnosis processes where remote assistance is required and to define a knowledge management tool for the "remote inspector" who is performing the smart assistance. The experiments are based on the communication architecture developed in Subtask 2.3.1.Source: Project report, INDeT, Deliverable D2-17, 2005
Project(s): INDET
See at: CNR ExploRA
2005
Other
Unknown
WP9 M.U.S.C.L.E. Web Site
Martinelli M., Salvetti O.
Web Site of the WP9 of the M.U.S.C.L.E. European Network of Excellence
Martinelli M., Salvetti O.
Web Site of the WP9 of the M.U.S.C.L.E. European Network of Excellence
See at: CNR ExploRA
2005
Report
Unknown
Final Report on Smart Assistance. Integration of non destructive testing
Incarnato C., Martinelli M., Salvetti O., Cavaccini G.
The aim of this document is to describe the developed Web-system for remote NDT smart-assistanceSource: Research report, INDeT, D2-18, 2005
Project(s): INDET
Incarnato C., Martinelli M., Salvetti O., Cavaccini G.
The aim of this document is to describe the developed Web-system for remote NDT smart-assistanceSource: Research report, INDeT, D2-18, 2005
Project(s): INDET
See at: CNR ExploRA
2004
Journal article
Unknown
Interoperabilita' e multimedialita' come strategie di ottimizzazione dell'affidabilita' e di riduzione dei costi nell'ambito dei controlli non distruttivi in servizio
Borzacchiello G., Caturano G., Cavaccini G., Incarnato C., Albanese C., Gloria M., Kostakopoulos G., Minei G., Martinelli M., Salvetti O.
In seguito all'introduzione di avanzati ed innovativi criteri di progettazione, materiali e tecnologie di fabbricazione, i Controlli Non Distruttivi (CND) hanno acquisito un livello di complessità crescente. Tale complessità investe tutti gli aspetti dei CND: quelli più strettamente tecnologici (proliferazione di tecniche ispettive e di analisi), quelli procedurali (criteri di accettazione sempre più strutturati e sempre più orientati a metodologie di classificazione delle anomalie rivelate), quelli riguardanti la diversificazione delle figure professionali proprie del dominio e, soprattutto, quelli relativi alla grande mole di informazioni generate o comunque utilizzate nei processi di ispezione (procedure, specifiche, certificazioni, disegni, dati acquisiti, ecc.). In tale contesto, sta diventando sempre più difficile gestire un dominio così complesso senza ricorrere al supporto di tecnologie informatiche non tradizionali, cioè provenienti da settori quali Intelligenza Arificiale e Human Computer Interaction, che solo pochi anni fa erano relegati esclusivamente a contesti di ricerca: in questo lavoro vengono presentati i risultati - ottenuti nell'ambito del Progetto APEX di Alenia Aeronautica - relativi all'applicazione di tali tecnologie per l'ottimizzazione dell'affidabilità e la riduzione dei costi nei CND in servizio, per i quali le complessità prima citate sono ancor più esaltate da alcune specificità operative.Source: Il Giornale delle prove non distruttive, monitoraggio, diagnostica in fase di stampa (2004): 1–10.
Borzacchiello G., Caturano G., Cavaccini G., Incarnato C., Albanese C., Gloria M., Kostakopoulos G., Minei G., Martinelli M., Salvetti O.
In seguito all'introduzione di avanzati ed innovativi criteri di progettazione, materiali e tecnologie di fabbricazione, i Controlli Non Distruttivi (CND) hanno acquisito un livello di complessità crescente. Tale complessità investe tutti gli aspetti dei CND: quelli più strettamente tecnologici (proliferazione di tecniche ispettive e di analisi), quelli procedurali (criteri di accettazione sempre più strutturati e sempre più orientati a metodologie di classificazione delle anomalie rivelate), quelli riguardanti la diversificazione delle figure professionali proprie del dominio e, soprattutto, quelli relativi alla grande mole di informazioni generate o comunque utilizzate nei processi di ispezione (procedure, specifiche, certificazioni, disegni, dati acquisiti, ecc.). In tale contesto, sta diventando sempre più difficile gestire un dominio così complesso senza ricorrere al supporto di tecnologie informatiche non tradizionali, cioè provenienti da settori quali Intelligenza Arificiale e Human Computer Interaction, che solo pochi anni fa erano relegati esclusivamente a contesti di ricerca: in questo lavoro vengono presentati i risultati - ottenuti nell'ambito del Progetto APEX di Alenia Aeronautica - relativi all'applicazione di tali tecnologie per l'ottimizzazione dell'affidabilità e la riduzione dei costi nei CND in servizio, per i quali le complessità prima citate sono ancor più esaltate da alcune specificità operative.Source: Il Giornale delle prove non distruttive, monitoraggio, diagnostica in fase di stampa (2004): 1–10.
See at: CNR ExploRA
2004
Contribution to conference
Open Access
New NDT equipment concepts
Martinelli M., Salvetti O.
The European project called 'INDeT' (Integration of Non Destructive Testing) brings together major European aircraft manufacturers and Information Technologies (IT) developers for 3 years (start : June 2002). It contributes to improve inspection conditions, reliability and reduction of costs by implementing IT tools to NDT. This work specifies the results obtained that are the replacement of paper documentation and change for digital support, the change of information transfer and the evolution of NDT environment.Source: QNDE 2004 - Annual Review Of Progress in Quantitative Nondestructive Evaluation, Colorado School of Mines Golde, US, 25-30 July 2004
Martinelli M., Salvetti O.
The European project called 'INDeT' (Integration of Non Destructive Testing) brings together major European aircraft manufacturers and Information Technologies (IT) developers for 3 years (start : June 2002). It contributes to improve inspection conditions, reliability and reduction of costs by implementing IT tools to NDT. This work specifies the results obtained that are the replacement of paper documentation and change for digital support, the change of information transfer and the evolution of NDT environment.Source: QNDE 2004 - Annual Review Of Progress in Quantitative Nondestructive Evaluation, Colorado School of Mines Golde, US, 25-30 July 2004
See at:
ISTI Repository | CNR ExploRA
2004
Contribution to conference
Open Access
S.I.R.I.A. - The information system of Italian research in Antarctica
Rafanelli C., Castorina M., Salvetti O., Benedetti E., Damiani A., Di Bono M. G., Martinelli M., Piervitali E.
The Italian Research in Antarctica Information System Project (Italian acronym SIRIA) is devoted to the collection and dissemination of information on Italian research in Antarctica. It is focused to preserve scientific data of PNRA (Antarctic Research National Programme), dating from as long ago as 1985. In addition SIRIA constitutes the Italian contribution to the Antarctic Master Directory, the international database of Antarctic data set descriptions, endorsed by SCAR. This work presents the aim and the activity of the SIRIA Project.Source: SCAR Meeting, Bremen, Germany, 25-31 July 2004
Rafanelli C., Castorina M., Salvetti O., Benedetti E., Damiani A., Di Bono M. G., Martinelli M., Piervitali E.
The Italian Research in Antarctica Information System Project (Italian acronym SIRIA) is devoted to the collection and dissemination of information on Italian research in Antarctica. It is focused to preserve scientific data of PNRA (Antarctic Research National Programme), dating from as long ago as 1985. In addition SIRIA constitutes the Italian contribution to the Antarctic Master Directory, the international database of Antarctic data set descriptions, endorsed by SCAR. This work presents the aim and the activity of the SIRIA Project.Source: SCAR Meeting, Bremen, Germany, 25-31 July 2004
See at:
ISTI Repository | CNR ExploRA
2004
Report
Open Access
Geo-Metadata Server: Metadata Entry Facility
Di Bono M. G., Martinelli M., Salvetti O.
In the context of the Information System for Italian Research in Antarctica (SIRIA) project, the operating unit of the Institute of Information Science and Technologies has to study and realize a web system for the collection and the management of the metadata on Italian campaigns in Antarctica. The aim of this project report is to illustrate the realization and the possibilities provided by the module of Metadata Entry of the system Geo-Metadata Server (GMDS), that allows to all registered users belonging to PNRA research sectors, to store information on their own Antarctic data.Source: ISTI Technical reports, 2004
Di Bono M. G., Martinelli M., Salvetti O.
In the context of the Information System for Italian Research in Antarctica (SIRIA) project, the operating unit of the Institute of Information Science and Technologies has to study and realize a web system for the collection and the management of the metadata on Italian campaigns in Antarctica. The aim of this project report is to illustrate the realization and the possibilities provided by the module of Metadata Entry of the system Geo-Metadata Server (GMDS), that allows to all registered users belonging to PNRA research sectors, to store information on their own Antarctic data.Source: ISTI Technical reports, 2004
See at:
ISTI Repository | CNR ExploRA
2004
Report
Open Access
Geo-Metadata Server: Struttura e funzionalità
Di Bono M. G., Martinelli M., Salvetti O.
In the context of the Information System for Italian Research in Antarctica (SIRIA) project, the operating unit of the Institute of Information Science and Technologies has to study and realize a web system for the collection and the management of the metadata on Italian campaigns in Antarctica. The aim of this project report is to illustrate the realization of the Geo-Metadata Server (GMDS), the web system that allows the PNRA researchers to discover all the information about specific data, through a methodology based on an "Incremental Resource Discovery" mechanism.Source: ISTI Technical reports, 2004
Di Bono M. G., Martinelli M., Salvetti O.
In the context of the Information System for Italian Research in Antarctica (SIRIA) project, the operating unit of the Institute of Information Science and Technologies has to study and realize a web system for the collection and the management of the metadata on Italian campaigns in Antarctica. The aim of this project report is to illustrate the realization of the Geo-Metadata Server (GMDS), the web system that allows the PNRA researchers to discover all the information about specific data, through a methodology based on an "Incremental Resource Discovery" mechanism.Source: ISTI Technical reports, 2004
See at:
ISTI Repository | CNR ExploRA
2004
Report
Unknown
INDeT - Evaluation and validation plan for the Mobile NDT System
Incarnato C., Martinelli M., Salvetti O., Cavaccini G.
The scope of this document is to design experimental tests in order to evaluate and validate Mobile NDT System developed by EADS CRC. The validation plan will take into account the following aspects: functionality (Network Interoperability, Security), reliability (Fault tolerance, Recoverability), usability (Operability), efficiency (Time), maintainability INDeT (Changeability), NDT capability.Source: Project report, INDeT, pp.1–6, 2004
Incarnato C., Martinelli M., Salvetti O., Cavaccini G.
The scope of this document is to design experimental tests in order to evaluate and validate Mobile NDT System developed by EADS CRC. The validation plan will take into account the following aspects: functionality (Network Interoperability, Security), reliability (Fault tolerance, Recoverability), usability (Operability), efficiency (Time), maintainability INDeT (Changeability), NDT capability.Source: Project report, INDeT, pp.1–6, 2004
See at: CNR ExploRA
2004
Report
Unknown
Operabilità in remoto dei processi di Controllo Non Distruttivo
Martinelli M., Salvetti O.
A study to identify the requirement needed to define an NDT oriented architecture has been made. At this aim advanced technologies have been studied and the main hardware and software requirements usable for an eventual system developement. Particular attention has been put on the interaction of the components to fit the logical-functional-operative integration.Source: ISTI Technical reports, 2004
Martinelli M., Salvetti O.
A study to identify the requirement needed to define an NDT oriented architecture has been made. At this aim advanced technologies have been studied and the main hardware and software requirements usable for an eventual system developement. Particular attention has been put on the interaction of the components to fit the logical-functional-operative integration.Source: ISTI Technical reports, 2004
See at: CNR ExploRA
2004
Report
Unknown
Servizio Documenti - Un Web Service per la gestione delle richieste di documentazione al Comune di Livorno
Martinelli M., Grassia M., Barsotti M., Belli R., Giuntoli F., Soroga P.
The problem faced and resolved has been the automatisation of the documentation request process to the Municipality of Livorno, appliable, with few modifications, to those services that require the transfer of documentation among servers. In particular, this document describes the implementation of the Web Service that manages the visualisation's requests of the deliberations made by the Livorno's Municipality Town Council and gives an example of use.Source: ISTI Technical reports, 2004
Martinelli M., Grassia M., Barsotti M., Belli R., Giuntoli F., Soroga P.
The problem faced and resolved has been the automatisation of the documentation request process to the Municipality of Livorno, appliable, with few modifications, to those services that require the transfer of documentation among servers. In particular, this document describes the implementation of the Web Service that manages the visualisation's requests of the deliberations made by the Livorno's Municipality Town Council and gives an example of use.Source: ISTI Technical reports, 2004
See at: CNR ExploRA
2004
Report
Unknown
Operabilità in remoto dei processi di Controllo Non Distruttivo
Martinelli M., Salvetti O.
A study to identify the requirement needed to define an NDT oriented architecture has been made. At this aim advanced technologies have been studied and the main hardware and software requirements usable for an eventual system developement. Particular attention has been put on the interaction of the components to fit the logical-functional-operative integration.Source: Project report, 2004
Martinelli M., Salvetti O.
A study to identify the requirement needed to define an NDT oriented architecture has been made. At this aim advanced technologies have been studied and the main hardware and software requirements usable for an eventual system developement. Particular attention has been put on the interaction of the components to fit the logical-functional-operative integration.Source: Project report, 2004
See at: CNR ExploRA
2004
Other
Unknown
Conception d'outils Web avancés de gestione t d'interfaçage dans une architecture distribuée
Savanier Y., Martinelli M.
Relatore Stage semestrale
Savanier Y., Martinelli M.
Relatore Stage semestrale
See at: CNR ExploRA
2004
Contribution to conference
Unknown
An Integrated System for Non Destructive System
Martinelli M, Salvetti O.
-Source: International Boeing 7E7 NDI, Foggia, 10/2004
Martinelli M, Salvetti O.
-Source: International Boeing 7E7 NDI, Foggia, 10/2004
See at: CNR ExploRA
2004
Report
Unknown
Specific Requirements for NDT Mobile System
Martinelli M., Salvetti . Caturano G.
-Source: Research report, INDeT, 2004
Martinelli M., Salvetti . Caturano G.
-Source: Research report, INDeT, 2004
See at: CNR ExploRA
2003
Contribution to conference
Open Access
S.I.R.I.A. - The information system of italian research in antarctica
Di Bono M. G., Martinelli M., Salvetti O., Benedetti E., Damiani A., Piervitali E., Rafanelli C., Castorina M.
Metadata provides descriptive information that characterizes a set of quantitative and/or qualitative measurements collected. It is the primary mechanism for documenting data and instruments involved in data collection. The paper explains the structure and the activity of Information System Italian Research in Antarctica Project (SIRIA) the Italian metadata project to collect and disseminate the information on Italian research in AntarcticaSource: X° Workshop Italian Research in Antarctic Atmosphere, Roma, Italy, 22-25 October 2003
Di Bono M. G., Martinelli M., Salvetti O., Benedetti E., Damiani A., Piervitali E., Rafanelli C., Castorina M.
Metadata provides descriptive information that characterizes a set of quantitative and/or qualitative measurements collected. It is the primary mechanism for documenting data and instruments involved in data collection. The paper explains the structure and the activity of Information System Italian Research in Antarctica Project (SIRIA) the Italian metadata project to collect and disseminate the information on Italian research in AntarcticaSource: X° Workshop Italian Research in Antarctic Atmosphere, Roma, Italy, 22-25 October 2003
See at:
ISTI Repository | CNR ExploRA
2003
Other
Open Access
See at:
ISTI Repository | www1.isti.cnr.it | CNR ExploRA
2003
Report
Unknown
Multimedia maintenance manual by Web
Martinelli M., Salvetti O.
An instantiation of a Multimedia Maintenance Manual (4M) document can be considered as the result of the composition of different contributions coming from different resources. Then, the 4M component can be considered as a distributed resource where the NDT database has a particular relevance. A main aspect is the definition of a Global Description Structure able to describe in a unique way the resources linked to the web portal. In particular the web portal should include a query manager considering both a specific and general knowledge of the 4M sources. The Query Manager should be constituted by sub-units (articulations) able to interact with the specific sources and to send the partial results to the query manager that merges them into a unique final documentSource: Project report, 2003
Martinelli M., Salvetti O.
An instantiation of a Multimedia Maintenance Manual (4M) document can be considered as the result of the composition of different contributions coming from different resources. Then, the 4M component can be considered as a distributed resource where the NDT database has a particular relevance. A main aspect is the definition of a Global Description Structure able to describe in a unique way the resources linked to the web portal. In particular the web portal should include a query manager considering both a specific and general knowledge of the 4M sources. The Query Manager should be constituted by sub-units (articulations) able to interact with the specific sources and to send the partial results to the query manager that merges them into a unique final documentSource: Project report, 2003
See at: CNR ExploRA
2003
Other
Open Access
The ARPA system: adaptive remote protocol for active interfacing
Martinelli M., Salvetti O.
L'attività e i risultati descritti nel presente report sono stati condotti nell'ambito di una collaborazione tra l'ISTI e la società Alenia Aeronautica di Pomigliano d'Arco (Napoli). Oggetto del presente report è il progetto di un sistema wireless di ausilio a processi di smart-assistance che individuano la relazione operativa tra le azioni svolte da un ispettore e la sua valutazione dello stato di affidabilità dei componenti aeronautici esaminati.
Martinelli M., Salvetti O.
L'attività e i risultati descritti nel presente report sono stati condotti nell'ambito di una collaborazione tra l'ISTI e la società Alenia Aeronautica di Pomigliano d'Arco (Napoli). Oggetto del presente report è il progetto di un sistema wireless di ausilio a processi di smart-assistance che individuano la relazione operativa tra le azioni svolte da un ispettore e la sua valutazione dello stato di affidabilità dei componenti aeronautici esaminati.
See at:
ISTI Repository | CNR ExploRA
2003
Report
Unknown
Web connections standards and interfacing
Martinelli M., Salvetti O.
Microelectronics makes it possible to build computers even more powerful and little. During these last years little devices were born with interesting display and processing power characteristics, having the possibility to use wireless connections (for instance to Internet). Thus, to define general requirements on standards and interfaces for mobile connection to the Web- Portal, we have available several technologies, as tablet PCs and PDAs, each one having particular characteristics that can be taken into consideration for mobile wireless communication. These new devices are able to use modern languages for data exchanging and rendering, as XML (eXtensible Markup Language), SVG (Scalable Vector Graphics), XHTML, XHTML Basic and XSL-FO (Formatting Objects for eXtensible Stylesheet Language).Source: Project report, 2003
Martinelli M., Salvetti O.
Microelectronics makes it possible to build computers even more powerful and little. During these last years little devices were born with interesting display and processing power characteristics, having the possibility to use wireless connections (for instance to Internet). Thus, to define general requirements on standards and interfaces for mobile connection to the Web- Portal, we have available several technologies, as tablet PCs and PDAs, each one having particular characteristics that can be taken into consideration for mobile wireless communication. These new devices are able to use modern languages for data exchanging and rendering, as XML (eXtensible Markup Language), SVG (Scalable Vector Graphics), XHTML, XHTML Basic and XSL-FO (Formatting Objects for eXtensible Stylesheet Language).Source: Project report, 2003
See at: CNR ExploRA
2003
Other
Open Access
See at:
ISTI Repository | www1.isti.cnr.it | CNR ExploRA
2003
Other
Open Access
See at:
ISTI Repository | www1.isti.cnr.it | CNR ExploRA
2003
Other
Open Access
See at:
ISTI Repository | CNR ExploRA
2003
Dataset
Unknown
S.I.R.I.A. - The Information System of Italian Research in Antarctica
Piervitali E., A. Damiani, E. Benedetti, M. Castorina, M. G. Di Bono, M. Martinelli, C. Rafanelli, O. Salvetti, M. Storini, L. Testa, V. Vitale
An abstract is not available
Piervitali E., A. Damiani, E. Benedetti, M. Castorina, M. G. Di Bono, M. Martinelli, C. Rafanelli, O. Salvetti, M. Storini, L. Testa, V. Vitale
An abstract is not available
See at: CNR ExploRA
2003
Other
Unknown
The Institute of Science and Information Technologies "A. Faedo" Web Site
Martinelli M., Bartoli R., Beltrame R., Raviolo C.
Web Site of the Institute of Science and Information Technologies
Martinelli M., Bartoli R., Beltrame R., Raviolo C.
Web Site of the Institute of Science and Information Technologies
See at: CNR ExploRA | www.isti.cnr.it
2002
Contribution to conference
Unknown
A secure Web-integrated working system: a framework for Web-based interoperability
Martinelli M., Salvetti O.
An abstract is not availableSource: Sustainable transport technologies for sustainable development, Valencia, Spagna, 4-6/6/2002
Martinelli M., Salvetti O.
An abstract is not availableSource: Sustainable transport technologies for sustainable development, Valencia, Spagna, 4-6/6/2002
See at: CNR ExploRA
2002
Contribution to conference
Open Access
The I.N.D.U.C.E Web site: an integrated work environment
Martinelli M., Salvetti O.
An abstract is not availableSource: Sustainable transport technologies for sustainable development, Valencia, Spain, 4-6 June 2002
Martinelli M., Salvetti O.
An abstract is not availableSource: Sustainable transport technologies for sustainable development, Valencia, Spain, 4-6 June 2002
See at:
ISTI Repository | CNR ExploRA
2002
Report
Unknown
Requirements on Web NDT database
Martinelli M., Salvetti O.
This document is focused on the definition of the main requirements for a NDT Web-Database (sub-Task 2.1.1), based on the software INSIDE NDT (developed by Alenia). However, due to the strict correlation of the themes here faced up some items in WP1 and WP3, the document intends also give a contribution for the assessment of the Web-related requirements for all the Tasks of the Project, defining a possible general architecture for all the web-based operations. Main topics of this document are: Web-Database architecture, interfacing modalities, methods and procedures for the information extraction, user typologies, operational and functional data flows and their management techniques, authentication and access security protocols. A very close interaction and even integration of Web-Database with Web-Portal of the whole NDT data management system has been outlined.Source: ISTI Technical reports, 2002
Martinelli M., Salvetti O.
This document is focused on the definition of the main requirements for a NDT Web-Database (sub-Task 2.1.1), based on the software INSIDE NDT (developed by Alenia). However, due to the strict correlation of the themes here faced up some items in WP1 and WP3, the document intends also give a contribution for the assessment of the Web-related requirements for all the Tasks of the Project, defining a possible general architecture for all the web-based operations. Main topics of this document are: Web-Database architecture, interfacing modalities, methods and procedures for the information extraction, user typologies, operational and functional data flows and their management techniques, authentication and access security protocols. A very close interaction and even integration of Web-Database with Web-Portal of the whole NDT data management system has been outlined.Source: ISTI Technical reports, 2002
See at: CNR ExploRA
2002
Report
Unknown
Sviluppo di un prototipo per la produzione automatica di documenti in ambiente distribuito
Martinelli M., Salvetti O.
Sono discussi studio e sviluppo di un prototipo per la produzione automatica di report e documentazione in ambiente distribuito. Aspetti importanti considerati sono la portabilità del software, la sua indipendenza dalla piattaforma utilizzata e la fruibilità via Web. Sono esaminati alcuni aspetti inerenti l'estrazione di dati da più sorgenti informative caratterizzate da differenti specifiche. Il progetto prevede che il risultato dell'elaborazione sia in un formato variabile (PDF, HTML,...); nel prototipo attuale tale risultato è stato al momento limitato al formato PDF.Source: ISTI Technical reports, 2002
Martinelli M., Salvetti O.
Sono discussi studio e sviluppo di un prototipo per la produzione automatica di report e documentazione in ambiente distribuito. Aspetti importanti considerati sono la portabilità del software, la sua indipendenza dalla piattaforma utilizzata e la fruibilità via Web. Sono esaminati alcuni aspetti inerenti l'estrazione di dati da più sorgenti informative caratterizzate da differenti specifiche. Il progetto prevede che il risultato dell'elaborazione sia in un formato variabile (PDF, HTML,...); nel prototipo attuale tale risultato è stato al momento limitato al formato PDF.Source: ISTI Technical reports, 2002
See at: CNR ExploRA
2002
Other
Unknown
5th International Conference on "Achieving Quality In Software" (AQUIS'2002) Web Site
Martinelli M., Fusani M., Lami V.
Good or evil the software may be, a theorem holds: Quality in life strictly depends on quality in software. The "Achieving Quality In Software" Conference Series couldn't open the millennium with a less ambitious goal. After ten years efforts in putting together the diverging interests of academia and industry, which still stay apart, attention is also focused on the principal characters on stage, us, the final users. New, surprising features will be deployed at the Conference. Traditional technical topics will be discussed close to novel, yet essential aspects for quality to be achieved, touching both ends of human involvement in quality, from engineers (so many are needed!) to clients (they are counted by the billions!). And the message to be spread out of the Conference room and reach all of them is: "Better software technology is a necessary ingredient for better life". So, let the practitioners learn and act for this to be achieved. Together with worldwide-known Experts invited to show and debate their best solutions to reach these goals, Authors are solicited to submit papers explaining the way to improve everybody's lifestyle through advances in: Technical areas: Software engineering best practices Software testing Software processes Quality models Formal methods Internet software Standards and certification in software
Martinelli M., Fusani M., Lami V.
Good or evil the software may be, a theorem holds: Quality in life strictly depends on quality in software. The "Achieving Quality In Software" Conference Series couldn't open the millennium with a less ambitious goal. After ten years efforts in putting together the diverging interests of academia and industry, which still stay apart, attention is also focused on the principal characters on stage, us, the final users. New, surprising features will be deployed at the Conference. Traditional technical topics will be discussed close to novel, yet essential aspects for quality to be achieved, touching both ends of human involvement in quality, from engineers (so many are needed!) to clients (they are counted by the billions!). And the message to be spread out of the Conference room and reach all of them is: "Better software technology is a necessary ingredient for better life". So, let the practitioners learn and act for this to be achieved. Together with worldwide-known Experts invited to show and debate their best solutions to reach these goals, Authors are solicited to submit papers explaining the way to improve everybody's lifestyle through advances in: Technical areas: Software engineering best practices Software testing Software processes Quality models Formal methods Internet software Standards and certification in software
See at: CNR ExploRA | www.iei.pi.cnr.it
2002
Other
Unknown
The INDUCE Web System
Martinelli M., Salvetti O.
Invited by the European Commission to the Sustainable Transport Technologies for Sustainable Development, Valencia, 4-6 June, to show the INDUCE Web System Realized in the European Project INDUCE
Martinelli M., Salvetti O.
Invited by the European Commission to the Sustainable Transport Technologies for Sustainable Development, Valencia, 4-6 June, to show the INDUCE Web System Realized in the European Project INDUCE
See at: CNR ExploRA
2002
Report
Unknown
Life Cycle Monitoring: A Neural Network Based Approach
Martinelli M., Salvetti O.
-Source: Project report, INDeT, 2002
Martinelli M., Salvetti O.
-Source: Project report, INDeT, 2002
See at: CNR ExploRA
2001
Report
Unknown
PandA: presenze & assenze. Un sistema di gestione delle presenze del personale afferente agli istituti del Consiglio Nazionale delle Ricerche dell'Area di Ricerca di Pisa
Diciotti R., Martinelli M.
La nota descrive il sistema di rilevazione delle presenze del personale nell'Area della Ricerca CNR di PisaSource: ISTI Technical reports, 2001
Diciotti R., Martinelli M.
La nota descrive il sistema di rilevazione delle presenze del personale nell'Area della Ricerca CNR di PisaSource: ISTI Technical reports, 2001
See at: CNR ExploRA
2001
Report
Unknown
The INDUCE web site: consulting, executing and uploading
Martinelli M., Salvetti O.
To simplify accessing the web site without reducing security, a new transfer procedure (upload) has been realized that allows any partner to put files on the site only using its browser.Source: ISTI Technical reports, 2001
Martinelli M., Salvetti O.
To simplify accessing the web site without reducing security, a new transfer procedure (upload) has been realized that allows any partner to put files on the site only using its browser.Source: ISTI Technical reports, 2001
See at: CNR ExploRA
2001
Report
Open Access
The INDUCE web site: encrypting and decrypting documents
Martinelli M.
In order to improve the security level for accessing the web, a new procedure has been developed for encrypting files to be processedSource: Project report, 2001
Martinelli M.
In order to improve the security level for accessing the web, a new procedure has been developed for encrypting files to be processedSource: Project report, 2001
See at:
puma.isti.cnr.it | CNR ExploRA
2001
Report
Unknown
VandA: an audio-visual metadata model
Amato G., Castelli D., Martinelli M., Pisani S., Venerosi P.
This report presents VandA, a metadata model for historical documentary audio-visual resources. This is a structured model able to provide a description of audio-visual resources that supports both a traditional archive access service and an advanced access service based on information acquired through the manipulation of the digital resources. The peculiar structuring of the model favours interoperability and renders it easily extensible to cover other application frameworks.Source: ISTI Technical reports, pp.1–56, 2001
Amato G., Castelli D., Martinelli M., Pisani S., Venerosi P.
This report presents VandA, a metadata model for historical documentary audio-visual resources. This is a structured model able to provide a description of audio-visual resources that supports both a traditional archive access service and an advanced access service based on information acquired through the manipulation of the digital resources. The peculiar structuring of the model favours interoperability and renders it easily extensible to cover other application frameworks.Source: ISTI Technical reports, pp.1–56, 2001
See at: CNR ExploRA
2001
Other
Unknown
XML - Una introduzione
Martinelli M.
Il seminario evidenzia a necessità di utilizzare e rapresentare informazioni complesse, informazioni che derivano dai nuovi media, ed inoltre la necessità di recuperare tali informazioni.
Martinelli M.
Il seminario evidenzia a necessità di utilizzare e rapresentare informazioni complesse, informazioni che derivano dai nuovi media, ed inoltre la necessità di recuperare tali informazioni.
See at: CNR ExploRA
2001
Conference article
Unknown
A system for managing documents in a step-by-step process
Marchetti A., Minutoli S., Lazzereschi P., Martinelli M.
An abstract is not available.Source: XML World Euro Edition marzo 2001, Amsterdam, 26-28 marzo 2001
Marchetti A., Minutoli S., Lazzereschi P., Martinelli M.
An abstract is not available.Source: XML World Euro Edition marzo 2001, Amsterdam, 26-28 marzo 2001
See at: CNR ExploRA
2001
Other
Unknown
4th international conference on "Achieving Quality In Software" (AQUIS'2001) web site
Martinelli M., Fusani M., Lami V.
An abstract is not available.
Martinelli M., Fusani M., Lami V.
An abstract is not available.
See at: CNR ExploRA | www.iei.pi.cnr.it
2001
Other
Unknown
PandA: presenze & assenze. Un sistema di gestione delle presenze del personale afferente agli istituti del Consiglio Nazionale delle Ricerche dell'Area di Ricerca di Pisa
Diciotti R., Martinelli M.
La nota descrive il sistema di rilevazione delle presenze del personale nell'Area della Ricerca CNR di Pisa
Diciotti R., Martinelli M.
La nota descrive il sistema di rilevazione delle presenze del personale nell'Area della Ricerca CNR di Pisa
See at: CNR ExploRA
2000
Report
Unknown
An integrated work environment for I.N.D.U.C.E.
Azzarelli D., Bozzi E., Bozzi R., Chimenti M., Martinelli M., Minutoli S., Salvetti O.
An abstract is not available.Source: ISTI Technical reports, 2000
Azzarelli D., Bozzi E., Bozzi R., Chimenti M., Martinelli M., Minutoli S., Salvetti O.
An abstract is not available.Source: ISTI Technical reports, 2000
See at: CNR ExploRA
2000
Software
Unknown
I.N.D.U.C.E. web server
Martinelli M., Minutoli S., Azzarelli D., Salvetti O.
Web server per il progetto INDUCE. Il server permette ai partner del progetto di inserire nel sito sia informazioni da condividere tra i partner stessi che informazioni e risultati da divulgare al pubblico.
Martinelli M., Minutoli S., Azzarelli D., Salvetti O.
Web server per il progetto INDUCE. Il server permette ai partner del progetto di inserire nel sito sia informazioni da condividere tra i partner stessi che informazioni e risultati da divulgare al pubblico.
See at: CNR ExploRA
2000
Report
Unknown
The security procedure for information management on INDUCE Web-Server
Azzarelli D., Martinelli M., Salvetti O.
An abstract is not available.Source: Project report, 2000
Azzarelli D., Martinelli M., Salvetti O.
An abstract is not available.Source: Project report, 2000
See at: CNR ExploRA
2000
Contribution to conference
Unknown
A web-system for non destructive testing
Bozzi E., Bozzi R., Chimenti M., Martinelli M., Salvetti O.
An abstract is not available.Source: Data and information for the coming Knowledge Millennium: science and technology in the quest for a better world. CODATA 2000, pp. 24–25, Baveno, Italy, 15-19 October 2000
Bozzi E., Bozzi R., Chimenti M., Martinelli M., Salvetti O.
An abstract is not available.Source: Data and information for the coming Knowledge Millennium: science and technology in the quest for a better world. CODATA 2000, pp. 24–25, Baveno, Italy, 15-19 October 2000
See at: CNR ExploRA
2000
Conference article
Unknown
La programmazione XML: XSLT, SAX, DOM
Marchetti A., Bovone S., Martinelli M.
An abstract is not available.Source: XML Italia 2000, pp. 1–54, Pisa, 9-10 maggio 2000
Marchetti A., Bovone S., Martinelli M.
An abstract is not available.Source: XML Italia 2000, pp. 1–54, Pisa, 9-10 maggio 2000
See at: CNR ExploRA
2000
Report
Unknown
La programmazione XML: XSLT, SAX, DOM
Marchetti A., Bovone S., Martinelli M.
XML: acronimo di eXtensible Markup Language è un linguaggio estensibile realizzato per poter utilizzare in modo semplice i documenti strutturati.Source: ISTI Technical reports, 2000
Marchetti A., Bovone S., Martinelli M.
XML: acronimo di eXtensible Markup Language è un linguaggio estensibile realizzato per poter utilizzare in modo semplice i documenti strutturati.Source: ISTI Technical reports, 2000
See at: CNR ExploRA
2000
Report
Unknown
Resource description framework IAT-Traduzione e note
Marchetti A., Martinelli M., Seta E.
An abstract is not available.Source: ISTI Technical reports, 2000
Marchetti A., Martinelli M., Seta E.
An abstract is not available.Source: ISTI Technical reports, 2000
See at: CNR ExploRA
2000
Other
Unknown
See at: CNR ExploRA
2000
Report
Unknown
On the installation and configuration of a printserver in a multi-platform computing environment. A case study at the Istituto di Elaborazione della Informazione - Italian National Research Council
Vignudelli S., Martinelli M., Zaccagnini S.
Printing costs represent a significant part of computing budgets, especially since printers can be shared on the network. The solution to this problem is therefore to track and eventually limit their use. A print server-based solution may reduce the workload for administrators by making it unnecessary to have install, maintain and upgrade the software components (e.g., printer drivers) for different client platforms. We will describe a case study at the Istituto di Elaborazione della Informazione, a research organization characterized by an heterogeneous computing and network environment. The first step was to decide on the most appropriate operating system among those running currently at the Institute. We opted for the Microsoft Windows NT platform because it can interface a wide variety of operating systems (e.g., Microsoft Windows family, Unix, Apple) and it has a user friendly administration. We verified that Microsoft Windows, Unix, and AppIe Macintosh clients were all able to print successfully using this print server. We also investigated the problem of monitoring printing usage for a high-cost colour printer. This problem was addressed by installing the printer as AppleTalk device and preventing Macintosh clients from accessing it directly by setting the "capture" option on the Windows NT side. Furthermore, the TCP/lP protocol was shutdown on the printing device so that all clients could send print jobs only via the print server. By using a freeware utility known as "Print Logger" we were able to extract and save print event details from the Microsoft Windows NT logging files. These data were processed automatically by using a Microsoft Excel macro which provided a table showing the monthly printing activity for each single user. However, this procedure does not completely solve the security problem because neither Unix and Apple Macintosh clients provide native mechanisms supporting user-Ievel access for printing. Therefore, at the present, a secure access control as well as usage monitoring of printing resources can only be achieved for Microsoft Windows clients. Although not definitive, the print server strategy adopted at our institute represents an economic and easy-to-manage solution allowing Macintosh, Unix and Windows clients to share network printers.Source: ISTI Technical reports, pp.1–28, 2000
Vignudelli S., Martinelli M., Zaccagnini S.
Printing costs represent a significant part of computing budgets, especially since printers can be shared on the network. The solution to this problem is therefore to track and eventually limit their use. A print server-based solution may reduce the workload for administrators by making it unnecessary to have install, maintain and upgrade the software components (e.g., printer drivers) for different client platforms. We will describe a case study at the Istituto di Elaborazione della Informazione, a research organization characterized by an heterogeneous computing and network environment. The first step was to decide on the most appropriate operating system among those running currently at the Institute. We opted for the Microsoft Windows NT platform because it can interface a wide variety of operating systems (e.g., Microsoft Windows family, Unix, Apple) and it has a user friendly administration. We verified that Microsoft Windows, Unix, and AppIe Macintosh clients were all able to print successfully using this print server. We also investigated the problem of monitoring printing usage for a high-cost colour printer. This problem was addressed by installing the printer as AppleTalk device and preventing Macintosh clients from accessing it directly by setting the "capture" option on the Windows NT side. Furthermore, the TCP/lP protocol was shutdown on the printing device so that all clients could send print jobs only via the print server. By using a freeware utility known as "Print Logger" we were able to extract and save print event details from the Microsoft Windows NT logging files. These data were processed automatically by using a Microsoft Excel macro which provided a table showing the monthly printing activity for each single user. However, this procedure does not completely solve the security problem because neither Unix and Apple Macintosh clients provide native mechanisms supporting user-Ievel access for printing. Therefore, at the present, a secure access control as well as usage monitoring of printing resources can only be achieved for Microsoft Windows clients. Although not definitive, the print server strategy adopted at our institute represents an economic and easy-to-manage solution allowing Macintosh, Unix and Windows clients to share network printers.Source: ISTI Technical reports, pp.1–28, 2000
See at: CNR ExploRA
2000
Other
Unknown
Web site of INDUCE Project
Chimenti M., Martinelli M., Minutoli S., Salvetti O.
An abstract is not available.
Chimenti M., Martinelli M., Minutoli S., Salvetti O.
An abstract is not available.
See at: inducesrv.iei.pi.cnr.it | CNR ExploRA
2000
Report
Unknown
XML: a technical introduction
Martinelli M.
This report aims at providing a technical introduction to the eXtensible Markup Language, known as XML. This language has been developed by W3C, the World Wide Web Consortium in order to offer an effective mechanism for managing structured data on the Web, thus overcoming the limits of HTML (Hyper Text Markup Language). We examine the components of the language and the way in which it differs with HTML. Examples are given of current possible uses and suggestion are made for future applications. We also briefly outline some of the new standards that are emerged, or now emering with respect to XML.Source: ISTI Technical reports, 2000
Martinelli M.
This report aims at providing a technical introduction to the eXtensible Markup Language, known as XML. This language has been developed by W3C, the World Wide Web Consortium in order to offer an effective mechanism for managing structured data on the Web, thus overcoming the limits of HTML (Hyper Text Markup Language). We examine the components of the language and the way in which it differs with HTML. Examples are given of current possible uses and suggestion are made for future applications. We also briefly outline some of the new standards that are emerged, or now emering with respect to XML.Source: ISTI Technical reports, 2000
See at: CNR ExploRA
2000
Contribution to conference
Unknown
Integrazione di tecnologie XML nella realizzazione di siti Web
Marchetti A., Martinelli M.
An abstract is not available.Source: XML I giornata di Studio, Bologna, Italy, 16 giugno 2000
Marchetti A., Martinelli M.
An abstract is not available.Source: XML I giornata di Studio, Bologna, Italy, 16 giugno 2000
See at: CNR ExploRA
1999
Other
Open Access
VI Congresso della Società Italiana di Psicofisiologia
Rossi B., Gabrielli L., Murri L., Biagioni S., Martinelli M.
An abstract is not available.
Rossi B., Gabrielli L., Murri L., Biagioni S., Martinelli M.
An abstract is not available.
See at:
puma.isti.cnr.it | CNR ExploRA
1999
Report
Open Access
XML: un linguaggio estensibile per il World Wide Web
Martinelli M.
XML, eXtensible Markup Language, è un linguaggio estensibile realizzato per poter utilizzare in modo semplice i documenti strutturati, studiato per il Web e per superare i limiti di HTML (HyperText Markup Language), ma con possibilità di utilizzo in ambienti differenti. Sviluppato dal W3C, il World Wide Web Consortium, XML è un sottoinsieme di SGML (Standard Generalized Markup Language), uno standard internazionale che definisce le regole per scrivere markup language, volutamente non comprende alcune funzionalità complesse di SGML difficilmente implementabili su Web.Source: ISTI Technical reports, pp.1–13, 1999
Martinelli M.
XML, eXtensible Markup Language, è un linguaggio estensibile realizzato per poter utilizzare in modo semplice i documenti strutturati, studiato per il Web e per superare i limiti di HTML (HyperText Markup Language), ma con possibilità di utilizzo in ambienti differenti. Sviluppato dal W3C, il World Wide Web Consortium, XML è un sottoinsieme di SGML (Standard Generalized Markup Language), uno standard internazionale che definisce le regole per scrivere markup language, volutamente non comprende alcune funzionalità complesse di SGML difficilmente implementabili su Web.Source: ISTI Technical reports, pp.1–13, 1999
See at:
www1.isti.cnr.it | CNR ExploRA
1999
Report
Unknown
Installazione di stampanti rese condivisibili dal server di stampa (client Windows 95/98/NT)
Martinelli M, Vignudelli S.
An abstract is not available.Source: ISTI Technical reports, 1999
Martinelli M, Vignudelli S.
An abstract is not available.Source: ISTI Technical reports, 1999
See at: CNR ExploRA
1999
Conference article
Unknown
Integrazione di tecnologie XML nella realizzazione di siti Web
Marchetti A., Martinelli M.
non disponibileSource: XML Italia - Prima giornata di studio, Bologna, 15 giugno 1999
Marchetti A., Martinelli M.
non disponibileSource: XML Italia - Prima giornata di studio, Bologna, 15 giugno 1999
See at: CNR ExploRA
1999
Report
Unknown
Installazione di stampanti rese condivisibili dal server di stampa (client UNIX)
Martinelli M., Vignudelli S.
An abstract is not available.Source: ISTI Technical reports, 1999
Martinelli M., Vignudelli S.
An abstract is not available.Source: ISTI Technical reports, 1999
See at: CNR ExploRA
1999
Other
Unknown
See at: CNR ExploRA | www.xml.it
1998
Book
Restricted
La fatica muscolare : aspetti fisiologici e patologici
Rossi B., Moglia A., Biagioni S., Martinelli M.
An abstract is not available
Rossi B., Moglia A., Biagioni S., Martinelli M.
An abstract is not available
See at:
puma.isti.cnr.it | CNR ExploRA
1998
Other
Unknown
ETRDL common user interface handout
Biagioni S., Peters C., Martinelli M.
An abstract is not available
Biagioni S., Peters C., Martinelli M.
An abstract is not available
See at: CNR ExploRA
1998
Report
Unknown
TCP Wrapper: un programma per controllare e filtrare l'accesso ai servizi di rete
Martinelli M.
Sommario non disponibile.Source: ISTI Technical reports, 1998
Martinelli M.
Sommario non disponibile.Source: ISTI Technical reports, 1998
See at: CNR ExploRA
1998
Other
Unknown
Procedura per l'interrogazione di database Access da World Wide Web
Buzzi M., Marchesini G., Martinelli M.
-
Buzzi M., Marchesini G., Martinelli M.
-
See at: CNR ExploRA
1998
Other
Unknown
See at: CNR ExploRA | www.iei.pi.cnr.it
1998
Other
Unknown
AQuIS '98 - 4th International Conference on Achieving Quality in Software
Martinelli M., Fusani M., Lami V.
AQuIS '98, International Conference on Achieving Quality in Software : Venice, Palazzo Giovannelli, March 30 - April 2, 1998: Venice, Palazzo Giovannelli, March 30 - April 2, 1998
Martinelli M., Fusani M., Lami V.
AQuIS '98, International Conference on Achieving Quality in Software : Venice, Palazzo Giovannelli, March 30 - April 2, 1998: Venice, Palazzo Giovannelli, March 30 - April 2, 1998
See at: CNR ExploRA | www.iei.pi.cnr.it
1998
Other
Unknown
Sito Web dell'Area della Ricerca del CNR di Pisa
Biagioni S., Carlesi C., Gioffré F., Martinelli M., Romano G.
-
Biagioni S., Carlesi C., Gioffré F., Martinelli M., Romano G.
-
See at: CNR ExploRA | www.area.pi.cnr.it
1998
Other
Unknown
Sito Web Istituto di Elaborazione dell'Informazione
Martinelli M., Biagioni S., Peters C.
Web Site of the Institute for the Elaboration of Information
Martinelli M., Biagioni S., Peters C.
Web Site of the Institute for the Elaboration of Information
See at: CNR ExploRA | www.iei.pi.cnr.it
1998
Other
Unknown
See at: CNR ExploRA | www.iei.pi.cnr.it
1998
Other
Unknown
Procedura per l'interrogazione di database Access da World Wide Web
Buzzi M., Marchesini T., Martinelli M.
Sommario non disponibile.
Buzzi M., Marchesini T., Martinelli M.
Sommario non disponibile.
See at: CNR ExploRA
1997
Report
Unknown
TABS. Il programma del conteggio dei consumi telefonici dell'IEI
Carlesi C., Martinelli M.
il seguente lavoro ha lo scopo di descrivere il sistema di gestione dei consumi telefonici d'Istituto allo scopo di ripartire i costi telefonici tra le varie utenze.Source: ISTI Technical reports, 1997
Carlesi C., Martinelli M.
il seguente lavoro ha lo scopo di descrivere il sistema di gestione dei consumi telefonici d'Istituto allo scopo di ripartire i costi telefonici tra le varie utenze.Source: ISTI Technical reports, 1997
See at: CNR ExploRA
1995
Contribution to journal
Unknown
Longitudinal changes of respiratory symptoms in a pediatric sample of Northern Italy
Modena P., Pedreschi M., Baldacci S., Vellutini M., Carrozzi L., Di Pede F., Martinelli M., Mammini U., Paoletti P., Viegi G.
An abstract i s not availableSource: The European respiratory journal. Supplement 8 (suppl 19) (1995): 496.
Modena P., Pedreschi M., Baldacci S., Vellutini M., Carrozzi L., Di Pede F., Martinelli M., Mammini U., Paoletti P., Viegi G.
An abstract i s not availableSource: The European respiratory journal. Supplement 8 (suppl 19) (1995): 496.
See at: CNR ExploRA
1995
Contribution to journal
Unknown
Acute respiratory effects of indoor pollution in the Pisa epidemiological study
Carrozzi L., Viegi G., Angino A., Piegaia B., Attisani B., Martinelli M., Mammini U., Di Pede F., Grado L., Paoletti P., Giuntini C.
-Source: ATS news (1986) 151 (1995).
Carrozzi L., Viegi G., Angino A., Piegaia B., Attisani B., Martinelli M., Mammini U., Di Pede F., Grado L., Paoletti P., Giuntini C.
-Source: ATS news (1986) 151 (1995).
See at: CNR ExploRA
1995
Journal article
Unknown
New indices from flow/volume curve: Association with respiratory symptoms and decline of lung function
Martinelli M., Vellutini M., Di Pede F., Viegi G., Carrozzi L., Mammini U., Paoletti P.
.Source: The European respiratory journal 7 (1995): 264S.
Martinelli M., Vellutini M., Di Pede F., Viegi G., Carrozzi L., Mammini U., Paoletti P.
.Source: The European respiratory journal 7 (1995): 264S.
See at: CNR ExploRA
1994
Other
Unknown
Questionario CNR per indagini epidemiologiche sui sintomi, le malattie ed i fattori di rischio respiratori
Paoletti P., Viegi G., Carrozzi L., Baldacci S., Pedreschi M., Modena P., Vellutini M., Diviggiano E., Maggiorelli F., Di Pede F., Mammini U., Celiano F., Grado L., Martinelli M., Giuntini C.
An abstract is not available.
Paoletti P., Viegi G., Carrozzi L., Baldacci S., Pedreschi M., Modena P., Vellutini M., Diviggiano E., Maggiorelli F., Di Pede F., Mammini U., Celiano F., Grado L., Martinelli M., Giuntini C.
An abstract is not available.
See at: CNR ExploRA
1994
Report
Unknown
Effetti sulla salute dell'inquinamento atmosferico: indagine sulla sintomatologia e sulla funzionalità dell'apparato respiratorio di un campione della popolazione residente sul territorio circostante la Centrale Termoelettrica ENEL di Polesine Camerini (Tolle - RO)
Pistelli G., Paoletti P., Sapigni T., Simoni M., Biavati P., Viegi G., Carrozzi L., Di Pede F., Baldacci S., Diviggiano E., Modena P., Pedreschi M., Vellutini M., Angino A., Silvi P., Mammini U., Grado L., Martinelli M.
An abstract is not available.Source: Project report, pp.1–16, 1994
Pistelli G., Paoletti P., Sapigni T., Simoni M., Biavati P., Viegi G., Carrozzi L., Di Pede F., Baldacci S., Diviggiano E., Modena P., Pedreschi M., Vellutini M., Angino A., Silvi P., Mammini U., Grado L., Martinelli M.
An abstract is not available.Source: Project report, pp.1–16, 1994
See at: CNR ExploRA
1994
Contribution to journal
Unknown
Longitudinal changes in respiratory symptoms and lung function in a general population sample
Pedreschi M., Carrozzi L., Viegi G., Paoletti P., Angino A., Di Pede F., Baldacci S., Martinelli M., Mammini U., Giuntini C.
Source: The European respiratory journal. Supplement 7 (suppl 18) (1994): 254s.
Pedreschi M., Carrozzi L., Viegi G., Paoletti P., Angino A., Di Pede F., Baldacci S., Martinelli M., Mammini U., Giuntini C.
Source: The European respiratory journal. Supplement 7 (suppl 18) (1994): 254s.
See at: CNR ExploRA
1994
Contribution to conference
Unknown
Nuovi indici derivati dall'analisi della curva flusso/volume in un campione di popolazione generale
Martinelli M., Vellutini M., Viegi G., Di Pede F., Paletti P., Carrozzi L., Pedreschi M., Modena P., Ballerin L., Pistelli G., Giuntini C.
Nella presentazione sono descritti nuovi indici derivati dall'analisi della curva flusso/volume. Da un campione di popolazione generale del Nord-Italia (875 uomini, 919 donne), sono stati identificati nuovi indici di valutazione utilizzando funzioni miste B-SPLINE interpolando i dati della capacità vitale forzata. Sono state effettuate comparazioni con gli indici più utilizzati e i nuovi indici sono stati selezionati come parametri in grado di differenziare in modo migliore i sintomatici da asintomatici. I nuovi indici si sono altresì dimostrati con il declino longitudinale del delta-FEV1.Source: Epidemiologie Respiratoire. Approche Interdisciplinaire, Paris, 22/10/1993,23/10/1993
Martinelli M., Vellutini M., Viegi G., Di Pede F., Paletti P., Carrozzi L., Pedreschi M., Modena P., Ballerin L., Pistelli G., Giuntini C.
Nella presentazione sono descritti nuovi indici derivati dall'analisi della curva flusso/volume. Da un campione di popolazione generale del Nord-Italia (875 uomini, 919 donne), sono stati identificati nuovi indici di valutazione utilizzando funzioni miste B-SPLINE interpolando i dati della capacità vitale forzata. Sono state effettuate comparazioni con gli indici più utilizzati e i nuovi indici sono stati selezionati come parametri in grado di differenziare in modo migliore i sintomatici da asintomatici. I nuovi indici si sono altresì dimostrati con il declino longitudinale del delta-FEV1.Source: Epidemiologie Respiratoire. Approche Interdisciplinaire, Paris, 22/10/1993,23/10/1993
See at: CNR ExploRA
1994
Journal article
Unknown
A randomized clinical trial on smoking cessation using different doses of transdermal nicotine replacement
Paoletti P., Maggiorelli F., Fornai E., Puntoni R., Martinelli M., Viegi G., Carrozzi L., Gustavvsson G., Celiano F., Giuntini C.
An abstract is not available.Source: The European respiratory journal. Supplement 6suppl17 (1994): 630s.
Paoletti P., Maggiorelli F., Fornai E., Puntoni R., Martinelli M., Viegi G., Carrozzi L., Gustavvsson G., Celiano F., Giuntini C.
An abstract is not available.Source: The European respiratory journal. Supplement 6suppl17 (1994): 630s.
See at: CNR ExploRA
1994
Journal article
Unknown
Reasons of unsuccess in nicotine replacement therapy: psycological components and inadequacy of replacement
Maggiorelli F., Fornai E., Mammini U., Martinelli M., Corlando A., Puntoni R., Molesti D., Carrozzi L. Viegi G., Gustavvsson G., Paoletti P.
An abstract is not available.Source: The European respiratory journal 6 (1994): 611s.
Maggiorelli F., Fornai E., Mammini U., Martinelli M., Corlando A., Puntoni R., Molesti D., Carrozzi L. Viegi G., Gustavvsson G., Paoletti P.
An abstract is not available.Source: The European respiratory journal 6 (1994): 611s.
See at: CNR ExploRA
1994
Journal article
Unknown
Physiological and psychological variables during the one year follow-up in smokers enrolled in a smoking cessation program
Fornai E., Maggiorelli F., Corlando A., Puntoni R., Martinelli M., Molesti D., Carrozzi L., Gustavvson G., Sawe U., Viegi G., Paoletti P.
An abstract is not available.Source: The European respiratory journal 6suppl17 (1994): 611s.
Fornai E., Maggiorelli F., Corlando A., Puntoni R., Martinelli M., Molesti D., Carrozzi L., Gustavvson G., Sawe U., Viegi G., Paoletti P.
An abstract is not available.Source: The European respiratory journal 6suppl17 (1994): 611s.
See at: CNR ExploRA
1994
Journal article
Unknown
Smoking habit in relation to psychological aspects an markers of exposure to tobacco in males and females enrolled in a smoking cessation trial
Puntoni R., Corlando A., Fornai E., Maggiorelli F., Molesti D., Martinelli M., Mammini U., Carrozzi L., Viegi G., Gustavsson G., Paoletti P., Giuntini C.
An abstract is not available.Source: ATS news (1986) 147-n4-part2 (1994): A805.
Puntoni R., Corlando A., Fornai E., Maggiorelli F., Molesti D., Martinelli M., Mammini U., Carrozzi L., Viegi G., Gustavsson G., Paoletti P., Giuntini C.
An abstract is not available.Source: ATS news (1986) 147-n4-part2 (1994): A805.
See at: CNR ExploRA
1994
Conference article
Unknown
Nuovi indici derivati dall'analisi della curva flusso/volume in un campione di popolazione generale
Martinelli M., Vellutini M., Viegi G., Di Pede F., Paoletti P., Carrozzi L., Pedreschi M., Modena P., Ballarin L., Pistelli C., Giuntini C.
An abstract is not available.Source: FATMA SP2 - Qualità dell'ambiente e salute, pp. 52, Follonica (GR), 14/12/1994,15/12/1994,16/12/1994
Martinelli M., Vellutini M., Viegi G., Di Pede F., Paoletti P., Carrozzi L., Pedreschi M., Modena P., Ballarin L., Pistelli C., Giuntini C.
An abstract is not available.Source: FATMA SP2 - Qualità dell'ambiente e salute, pp. 52, Follonica (GR), 14/12/1994,15/12/1994,16/12/1994
See at: CNR ExploRA
1994
Conference article
Unknown
Nuovi indici della curva flusso/volume: associazione con sintomi respiratori e declino della funzione polmonare
Martinelli M., Vellutini M., Di Pede F., Viegi G., Carrozzi L., Mammini U., Giuntini C.
An abstract is not available.Source: Prevenzione e Controllo dei Fattori di Malattia (FATMA) - Progetto Finalizzato CNR, pp. 259–266, Follonica (GR), 16/12/1994
Martinelli M., Vellutini M., Di Pede F., Viegi G., Carrozzi L., Mammini U., Giuntini C.
An abstract is not available.Source: Prevenzione e Controllo dei Fattori di Malattia (FATMA) - Progetto Finalizzato CNR, pp. 259–266, Follonica (GR), 16/12/1994
See at: CNR ExploRA
1994
Journal article
Unknown
When to use pointers
Martinelli M.
An abstract is not available.Source: Computer programming 28 (1994).
Martinelli M.
An abstract is not available.Source: Computer programming 28 (1994).
See at: CNR ExploRA
1994
Contribution to journal
Restricted
Creazione di Spin Control per Windows
Martinelli M.
An abstract is not available.Source: Computer programming 27 (1994): 43–44.
Martinelli M.
An abstract is not available.Source: Computer programming 27 (1994): 43–44.
See at:
www.maremagnum.com | CNR ExploRA
1993
Conference article
Unknown
Il declino della funzione polmonare in un campione della popolazione generale studiata longitudinalmente.
Paoletti P, Viegi G, Carrozzi L, Di Pede F, Baldacci S, Pedreschi M, Modena P, Martinelli M, Mammini U, Giuntini C.
Source: I° Convegno FATMA SP2/ Qualità dell'ambiente e salute, pp. 441–447, "Il Ciocco" - Castelvecchio Pascoli (LU), 14-16 giugno 1992
Paoletti P, Viegi G, Carrozzi L, Di Pede F, Baldacci S, Pedreschi M, Modena P, Martinelli M, Mammini U, Giuntini C.
Source: I° Convegno FATMA SP2/ Qualità dell'ambiente e salute, pp. 441–447, "Il Ciocco" - Castelvecchio Pascoli (LU), 14-16 giugno 1992
See at: CNR ExploRA
1993
Conference article
Unknown
Variazioni sieriche delle IgE durante il ciclo ovarico nelle donne di un campione di popolazione generale residente nell'Italia del nord.
Vellutini M., Viegi G., Martinelli M., Carrozzi L., Parrini D., Bottai M., Baldacci S., Biavati P., Sapigni T., Paoletti P., Giuntini C.
-Source: Colloquio Franco-Italiano di Epidemiologia Respiratoria - Approccio Interdisciplinare, pp. 208, Parigi, 22-23/X/1993
Vellutini M., Viegi G., Martinelli M., Carrozzi L., Parrini D., Bottai M., Baldacci S., Biavati P., Sapigni T., Paoletti P., Giuntini C.
-Source: Colloquio Franco-Italiano di Epidemiologia Respiratoria - Approccio Interdisciplinare, pp. 208, Parigi, 22-23/X/1993
See at: CNR ExploRA
1993
Contribution to journal
Unknown
Respiratory effects of occupational exposure in a general population sample: relationship with atopy and bronchial responsiveness (BHR).
Viegi G., Fialdini A., Vellutini M., Martinelli M., Di Pede F., Modena P., Pedreschi M., Baldacci S., Grado L., Fornai E., Paoletti P.
Source: The American review of respiratory disease 147 (1993): A904.
Viegi G., Fialdini A., Vellutini M., Martinelli M., Di Pede F., Modena P., Pedreschi M., Baldacci S., Grado L., Fornai E., Paoletti P.
Source: The American review of respiratory disease 147 (1993): A904.
See at: CNR ExploRA
1993
Journal article
Unknown
A double-blind clinical-trial on smoking cessation using different doses of 16-hours transdermal nicotine patches after cotinine plasma values stratification
Paoletti P., Fornai E., Maggiorelli F., Corlando A., Puntoni R., Molesti D., Carrozzi L., Viegi G., Martinelli M., Celiano F., Gustavsson G., Sawe U.
-Source: The American review of respiratory disease 147 (1993): A806–A806.
Paoletti P., Fornai E., Maggiorelli F., Corlando A., Puntoni R., Molesti D., Carrozzi L., Viegi G., Martinelli M., Celiano F., Gustavsson G., Sawe U.
-Source: The American review of respiratory disease 147 (1993): A806–A806.
See at: CNR ExploRA
1993
Journal article
Unknown
A new approach to the analysis of the flow-volume curve shape
Di Pede F., Viegi G., Paoletti P., Pistelli G., Carrozzi L., Martinelli M., Vellutini M., Pedreschi M., Giuntini C.
-Source: The European respiratory journal 5 (1993): 252s.
Di Pede F., Viegi G., Paoletti P., Pistelli G., Carrozzi L., Martinelli M., Vellutini M., Pedreschi M., Giuntini C.
-Source: The European respiratory journal 5 (1993): 252s.
See at: CNR ExploRA
1993
Journal article
Unknown
SMOKING HABIT IN RELATION TO PSYCHOLOGICAL-ASPECTS AND MARKERS OF EXPOSURE TO TOBACCO IN MALES AND FEMALES ENROLLED IN A SMOKING CESSATION TRIAL
Puntoni R., Corlando A., Fornai E., Maggiorelli F., Molesti D., Martinelli M., Mammini U., Carrozzi L., Viegi G., Gustavsson G., Paoletti P., Giuntini C.
SMOKING HABIT IN RELATION TO PSYCHOLOGICAL-ASPECTS AND MARKERS OF EXPOSURE TO TOBACCO IN MALES AND FEMALES ENROLLED IN A SMOKING CESSATION TRIALSource: The American review of respiratory disease 147 (1993): A805–A805.
Puntoni R., Corlando A., Fornai E., Maggiorelli F., Molesti D., Martinelli M., Mammini U., Carrozzi L., Viegi G., Gustavsson G., Paoletti P., Giuntini C.
SMOKING HABIT IN RELATION TO PSYCHOLOGICAL-ASPECTS AND MARKERS OF EXPOSURE TO TOBACCO IN MALES AND FEMALES ENROLLED IN A SMOKING CESSATION TRIALSource: The American review of respiratory disease 147 (1993): A805–A805.
See at: CNR ExploRA
1992
Contribution to conference
Unknown
Il declino della funzione polmonare in un campione della popolazione generale studiata longitudinalmente
Paoletti P., Viegi G., Carrozzi L., Di Pede F., Baldacci S., Pedreschi M., Modena P., Martinelli M., Mammini U., Giuntini C.
Source: FATMA SP2/ Qualità dell'ambiente e salute, pp. 75–75, "Il Ciocco" - Castelvecchio Pascoli (LU), 14-16 giugno 1992
Paoletti P., Viegi G., Carrozzi L., Di Pede F., Baldacci S., Pedreschi M., Modena P., Martinelli M., Mammini U., Giuntini C.
Source: FATMA SP2/ Qualità dell'ambiente e salute, pp. 75–75, "Il Ciocco" - Castelvecchio Pascoli (LU), 14-16 giugno 1992
See at: CNR ExploRA
1992
Journal article
Unknown
Longitudinal Change Of CO diffusing capacity in a general population sample of North Italy
Viegi G., Paoletti P., Martinelli M., Vellutini M., Carrozzi L, Di Pede F., Biavati P., Pedreschi M., Mammini U., Giuntini C.
-Source: The European respiratory journal 5 (1992): 354s.
Viegi G., Paoletti P., Martinelli M., Vellutini M., Carrozzi L, Di Pede F., Biavati P., Pedreschi M., Mammini U., Giuntini C.
-Source: The European respiratory journal 5 (1992): 354s.
See at: CNR ExploRA
1991
Contribution to journal
Unknown
Skin test reactivity to common aeroallergens in a general population sample of Northern Italy
Baldacci S, Carrozzi L, Sapigni T, Biavati P, Simoni M, Gargiulo S, Mammini U, Martinelli M, Maggiorelli F, Viegi G, Paoletti P.
Source: The European respiratory journal. Supplement 4 (supplement 14) (1991): 508s.
Baldacci S, Carrozzi L, Sapigni T, Biavati P, Simoni M, Gargiulo S, Mammini U, Martinelli M, Maggiorelli F, Viegi G, Paoletti P.
Source: The European respiratory journal. Supplement 4 (supplement 14) (1991): 508s.
See at: CNR ExploRA
1991
Contribution to conference
Unknown
Convenzione ENEL-CNR: presentazione lavoro del primo anno
Mammini U., Celiano F., Grado L, Martinelli M.
Presentazione lavoro del primo anno della convenzione ENEL-CNR. Dimostrazione Sviluppi FuturiSource: Convenzione ENEL-CNR, Comune di Pisa, Pisa, Italy, 22/10/1991
Mammini U., Celiano F., Grado L, Martinelli M.
Presentazione lavoro del primo anno della convenzione ENEL-CNR. Dimostrazione Sviluppi FuturiSource: Convenzione ENEL-CNR, Comune di Pisa, Pisa, Italy, 22/10/1991
See at: CNR ExploRA