74 result(s)
Page Size: 10, 20, 50
Export: bibtex, xml, json, csv
Order by:

CNR Author operator: and / or
more
Typology operator: and / or
Language operator: and / or
Date operator: and / or
more
Rights operator: and / or
2018 Article Open Access OPEN

Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling
Karakus O., Kuruoglu E. E., Altinkaya M. A.
Reversible jump Markov chain Monte Carlo (RJMCMC) is a Bayesian model estimation method, which has been generally used for trans-dimensional sampling and model order selection studies in the literature. In this study, we draw attention to unexplored potentials of RJMCMC beyond trans-dimensional sampling. the proposed usage, which we call trans-space RJMCMC exploits the original formulation to explore spaces of different classes or structures. This provides flexibility in using different types of candidate classes in the combined model space such as spaces of linear and nonlinear models or of various distribution families. As an application, we looked into a special case of trans-space sampling, namely trans-distributional RJMCMC in impulsive data modeling. In many areas such as seismology, radar, image, using Gaussian models is a common practice due to analytical ease. However, many noise processes do not follow a Gaussian character and generally exhibit events too impulsive to be successfully described by the Gaussian model. We test the proposed usage of RJMCMC to choose between various impulsive distribution families to model both synthetically generated noise processes and real-life measurements on power line communications impulsive noises and 2-D discrete wavelet transform coefficients. (C) 2018 Elsevier B.V. All rights reserved.Source: Signal processing (Print) 153 (2018): 396–410. doi:10.1016/j.sigpro.2018.07.028
DOI: 10.1016/j.sigpro.2018.07.028
Project(s): PTDC/EEA-TEL/67979/2006 via OpenAIRE

See at: arXiv.org e-Print Archive Open Access | ISTI Repository Open Access | DOI Resolver | CNR People


2018 Article Open Access OPEN

Synthetic aperture radar processing for vessel kinematics estimation
Reggiannini M., Bedini L.
Navigating vessels leave traces of their motion in the form of wake patterns on the water surface. Wakes are visible in high resolution Synthetic Aperture Radar maps and bear information related to the kinematic variables of the vessel motion. A proper processing of the wake pattern allows to estimate the vessel heading and velocity. This information can be exploited in decision procedures concerning maritime surveillance and ship traffic monitoring. This document describes the design and implementation of software procedures with the purpose of estimating the motion parameters of a navigating vessel, through processing the wake pattern generated by the vessel itself.Source: Proceedings (MDPI) 2 (2018). doi:10.3390/proceedings2020091
DOI: 10.3390/proceedings2020091

See at: ISTI Repository Open Access | DOI Resolver | CNR People | www.mdpi.com


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.

See at: CNR People


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.

See at: CNR People


2018 Report Open Access OPEN

Sistema interattivo dedicato all'attività motoria e cognitiva assistita
Magrini M., Barcaro U., Dolciotti C.
In questo documento è descritto un sistema informatico di ausilio all'attività motoria e cognitiva assistita svolta presso una residenza sociale assistita (RSA). Tale attività viene svolta bisettimanalmente, con l'aiuto degli operatori, da soggetti con patologie lievi o moderate. Il sistema è stato integrato nei servizi previsti dal progetto regionale INTESA.

See at: ISTI Repository Open Access | CNR People


2018 Article Open Access OPEN

A marine information system for environmental monitoring: ARGO-MIS
Pieri G., Cocco M., Salvetti O.
Sea shipping routes have become very crowded and this, coupled with an always increasing demand of oil based products, contributes to the increase in maritime traffic density, as a consequence pollution risks have increased. Therefore, it is important to have information systems capable of detecting and monitoring environmental endangering situations like oil spills at sea. In this paper, a Marine Information System, acting as an integrated and inter-operable monitoring tool is proposed and discussed. The discussion focuses on a system that is able to integrate different data acquired from various electronic sensors, and that is inter-operable among marine operators and ship traffic authorities. The available data on the system are all geo-referenced, and flows seamlessly through the system, where they are integrated in a consistent and usable manner. An important result of this integration is the capability to produce a collection of proactive services such as Decision Support ones, which can be used to improve the functionalities and facilities concerned in an intervention operation. Through the implementation of these services, we aim to demonstrate how an efficient environmental management system could benefit from being supported by a Marine Information System that can provide the dynamic links between different data, models and actors.Source: Journal of marine science and engineering 6 (2018). doi:10.3390/jmse6010015
DOI: 10.3390/jmse6010015
Project(s): ARGOMARINE via OpenAIRE

See at: Journal of Marine Science and Engineering Open Access | ISTI Repository Open Access | Journal of Marine Science and Engineering Open Access | DOI Resolver | CNR People | www.mdpi.com


2018 Book Open Access OPEN

Special Issue "Maritime Environment Monitoring"
Pieri G., Salvetti O.
Protection and monitoring of maritime environments have become increasingly important due to several different factors. The reasons behind this increase are very heterogeneous and range from the high demand of oil-based products, leading to a growth of maritime traffic, to the increased amount of garbage produced by society, which endangers both protected and regular coastal and marine areas, and, furthermore, with the fast and great rise of migration flows arriving to Western countries. All these factors, combined with the augmented computational and storage capability of technological systems, and with an increased availability of data regarding the marine and maritime environment, has made it possible to have a range of varieties of information systems for the study, monitoring, and proactive support to decision makers. In general, these information systems respond to the needs in the development of intelligent systems dealing with the management of maritime spatial data, for applications related to either scientific research, safety, or maritime industry. This Special Issue aims to cover these various and heterogeneous aspects, related to maritime environment monitoring, bringing together researchers in their respective fields to share their experiences. The main subjects covered by this Special Issue can be summarized by the following five topics: Research and applications on maritime systems for the support of decision makers; Research on sensors and marine data acquisition and management; Research on the smart management and integration of real-time maritime heterogeneous data; Research and applications on smart interfaces for the management of real-time maritime information systems Research and applications for the support of maritime industry and related organizations. Dr. Gabriele Pieri Dr. Ovidio Salvetti Guest EditorsSource: Basel: MDPI AG, 2018
Project(s): ARGOMARINE via OpenAIRE

See at: ISTI Repository Open Access | CNR People | www.mdpi.com


2018 Other Unknown

Tecnologie innovative per la telemedicina
Martinelli M.
Seminario sulle tecnologie impiegate nel progetto di telemedicina e-Rés@mont.

See at: CNR People


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.

See at: CNR People


2018 Other Unknown

ChromStruct v4.2 - Reconstruction of 3D chromatin structure from chromosome conformation capture data
Salerno E., Caudai C.
This Python (v.2.7.10) code provides an estimate of the 3D structure of the chromatin fibre in cell nuclei from the contact frequency data produced by a 'Chromosome conformation capture' experiment. The only input required is a text file containing a general real matrix of contact frequencies. The code features a GUI where all the tuneable parameters are made available to the user. The fibre is divided in independent segments whose structures are first estimated separately and then modelled as single elements of a lower-resolution fibre, which is treated iteratively in the same way until it cannot be divided anymore into independent segments. The full-resolution chain is then reconstructed by another iterative procedure. See the Readme file and the cited references for more detail.

See at: CNR People | www.researchgate.net


2018 Report Unknown

Deep learning
Martinelli M.
Introduzione di base al deep learning e applicazioni realizzate.

See at: CNR People


2018 Conference object Unknown

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

See at: CNR People | www.societaitalianamedicinadimontagna.it


2018 Other Open Access OPEN

Twitter quickly
Martinelli M.
Imparare ad utilizzare Twitter velocemente.

See at: ISTI Repository Open Access | CNR People


2018 Other Open Access OPEN

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.

See at: ISTI Repository Open Access | doi.org | CNR People


2018 Article Open Access OPEN

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

See at: ISTI Repository Open Access | doi.org | DOI Resolver | CNR People


2018 Article Open Access OPEN

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.

See at: ISTI Repository Open Access | ISTI Repository Open Access | doi.org | CNR People


2018 Other Open Access OPEN

XSL
Martinelli M.
Materiale del corso di Laurea in Informatica Umanistica "CODIFICA DI TESTI" del 10/12/2018

See at: ISTI Repository Open Access | CNR People | www1.isti.cnr.it


2018 Conference object Open Access OPEN

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

See at: ISTI Repository Open Access | phiweek.esa.int | CNR People


2018 Conference object Open Access OPEN

On-line measuring sensors for smart water network monitoring
Di Nardo A. (, ), Baquero Gonzalez D., Baur T., Bernini R., Bodini S., Capasso S., Cascetta F., Castaldo F., Cocco M., Cousin P., D'Acunto M., Di Leo R., Della Ventura B., Di Mauro A. (, Di Natale M., Di Virgilio G., Doveri M., El Mansouri B., Germano R., Giudicianni C., Giunta N., Greco R., Iovino P., Katsou E., Koenig R., Laspidou C. S., Lisbino V., Lupi L., Martínez Díaz E., Musmarra D. (, Montse Mussons O., Paleari O., Raich J., Regan F., Rodriguez-pinzon M. J., Rodriguez-varela J. M., Sanfilippo L., Seelam J. S., Santonastaso G. F. (, Savic D., Scozzari A., Soldovieri F., Tuccinardi F. P., Tzatchkov V. G., Vamvakeridou-lyroudia L. S., Van Rijn M., Velotta R., Venticinque S., Wouters J. W.
Smart cities are getting essential to drive economic growth, increase social prospects and improve high-quality lifestyle for citizens. To meet the goal of smart cities, Information and Communications Technology (ICT) have a key role. The application of smart solutions will allow the cities to use ICT and big data to improve infrastructure and services (i.e. network efficiency, protection from contamination, etc.). In the water sector, the integration of smart meters and sensors coupled with cloud computing and the paradigm of "divide and conquer" introduces a novel and smart management of the water network allowing an efficient online monitoring and transforming the traditional water networks into modern Smart WAter Networks (SWAN). The Ctrl+SWAN (Cloud Technologies & ReaL time monitoring+Smart WAter Network) Action Group (AG) was created within the European Innovation Partnership on Water, in order to promote innovation in the water sector by advancing existing smart solutions. The paper presents an update of a previous work on the state of the art on the best On-line Measuring Sensors (OMS) already available on the market and innovative technologies in the Research and Development (R&D) phases.Source: HIC 2018 - 13th International Conference on Hydroinformatics, pp. 572–581, Palermo, Italy, 1-5 July 2018
DOI: 10.29007/4fcr

See at: ISTI Repository Open Access | DOI Resolver | easychair.org | CNR People


2018 Conference object Open Access OPEN

The role of groundwater modelling for the sustainable management of water resources in a context of climatic change: an experience on a carbonate aquifer in Tuscany (Italy)
Scozzari A., Doveri M., Masetti G., Menichini M., Provenzale A., Raco B., Vivaldo G.
In a growing number of countries, safeguarding drinking water supplies is strictly linked with the sustainable usage of groundwater resources. In the European Union, about 70% of the water destined to the supply network is groundwater, and almost 75% of this source comes from carbonate aquifers. Although groundwater systems can be considered as more resilient to climate change than surface waters, climate change affects them both directly and indirectly. For carbonate aquifers the impact can be very significant, given the high sensitivity of these reservoirs.caused by their karst features. The analysis of hydro-meteorological data over a few decades highlights that also Italy is experiencing a change in the climate regime, with impacts on groundwater yield that are not yet well understood. In this work, we discuss the results of the analysis of data provided by the Tuscan Water Authority (AIT) and GAIA SpA (Integrated Water Service). Data refer to flowrate at springs of the karst aquifer system of the Apuan Alps (northwestern Tuscany). Flowrates trend indicates a slight decline of groundwater yields in this system over the last two decades. A tendency to consume more recharge water through sudden and short flow rate peaks seems also to occur, as a consequence of the increased occurrence of storm events. Data were elaborated in order to study possible empirical relationships between meteorological parameters and groundwater quantity indices, in the wider framework of a research for the development of support tools for the management of the resource under specific climate scenarios. In particular, this work describes the different data-driven approaches experimented with the collected time series, essentially based on multi-variate analysis techniques and on a simplified machine learning scheme based on neural networks. The collected time series were first analyzed by classical statistical and advanced spectral analysis techniques, in order to extract the embedded significant periodicities and trends. Forecasting was thus applied on clean signals only, to reduce the background noise propagation; both empirical models applied to the whole cleaned dataset, and single components projection methodologies were taken into account.Source: EGU General Assembly 2018, Vienna, Austria, 8-13 April 2018

See at: ISTI Repository Open Access | meetingorganizer.copernicus.org | CNR People