2011
Conference article
Unknown
Inferential mining for reconstruction of 3D cell structures in atomic force microscopy imaging
D'Acunto Mario, Berrettini Stefano, Danti Serena, Lisanti Michele, Pietrabissa Andrea, Petrini Mario, Salvetti Ovidio
Atomic Force Microscopy (AFM) is a fundamental tool for the investigation of a wide range of mechanical properties on nanoscale due to the contact interaction between the AFM tip and the sample surface. The focus of this paper is on an algorithm for the reconstruction of 3D stem-differentiated cell structures extracted by typical 2D surface AFM images. The AFM images resolution is limited by the tip-sample convolution due to the combined geometry of the probe tip and the pattern configuration of the sample. This limited resolution limits the accuracy of the correspondent 3D image. To drop unwanted effects, we adopt an inferential method for pre-processing single frame AFM image (low resolution image) building its super-resolution version. Therefore the 3D reconstruction is made on animal cells using a Markov Random Field approach for augmented voxels. The 3D reconstruction should improve unambiguous identification of cells structures. The computation method is fast and can be applied both to multi- and to single-frame images.Source: 3rd International Joint conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management, IC3K 2011, pp. 348–353, Parigi, 26-29 October 2011
D'Acunto Mario, Berrettini Stefano, Danti Serena, Lisanti Michele, Pietrabissa Andrea, Petrini Mario, Salvetti Ovidio
Atomic Force Microscopy (AFM) is a fundamental tool for the investigation of a wide range of mechanical properties on nanoscale due to the contact interaction between the AFM tip and the sample surface. The focus of this paper is on an algorithm for the reconstruction of 3D stem-differentiated cell structures extracted by typical 2D surface AFM images. The AFM images resolution is limited by the tip-sample convolution due to the combined geometry of the probe tip and the pattern configuration of the sample. This limited resolution limits the accuracy of the correspondent 3D image. To drop unwanted effects, we adopt an inferential method for pre-processing single frame AFM image (low resolution image) building its super-resolution version. Therefore the 3D reconstruction is made on animal cells using a Markov Random Field approach for augmented voxels. The 3D reconstruction should improve unambiguous identification of cells structures. The computation method is fast and can be applied both to multi- and to single-frame images.Source: 3rd International Joint conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management, IC3K 2011, pp. 348–353, Parigi, 26-29 October 2011
See at: CNR ExploRA
2011
Conference article
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A multi-sensor network for the protection of cultural heritage
Grammalidis N., Cetin E., Dimitropoulos K., Tsalakanidou F., Kose K., Gunay O., Governeur B., Torri D., Kuruoglu E. E., Tozzi S., Benazza A., Chaabane F., Kosucu B., Ersoy C.
The paper presents a novel automatic early warning system to remotely monitor areas of archaeological and cultural interest from the risk of fire. Since these areas have been treasured and tended for very long periods of time, they are usually surrounded by old and valuable vegetation or situated close to forest regions, which exposes them to an increased risk of fire. The proposed system takes advantage of recent advances in multi-sensor surveillance technologies, using optical and infrared cameras, wireless sensor networks capable of monitoring different modalities (e.g. temperature and humidity) as well as local weather stations on the deployment site. The signals collected from these sensors are transmitted to a monitoring centre, which employs intelligent computer vision and pattern recognition algorithms as well as data fusion techniques to automatically analyze sensor information. The system is capable of generating automatic warning signals for local authorities whenever a dangerous situation arises, as well as estimating the propagation of the fire based on the fuel model of the area and other important parameters such as wind speed, slope, and aspect of the ground surface.Source: 19th European Signal Processing Conference, EUSIPCO 2011, pp. 889–893, Barcelona, Spain, 29 August - 2 September 2011
Project(s): FIRESENSE
Grammalidis N., Cetin E., Dimitropoulos K., Tsalakanidou F., Kose K., Gunay O., Governeur B., Torri D., Kuruoglu E. E., Tozzi S., Benazza A., Chaabane F., Kosucu B., Ersoy C.
The paper presents a novel automatic early warning system to remotely monitor areas of archaeological and cultural interest from the risk of fire. Since these areas have been treasured and tended for very long periods of time, they are usually surrounded by old and valuable vegetation or situated close to forest regions, which exposes them to an increased risk of fire. The proposed system takes advantage of recent advances in multi-sensor surveillance technologies, using optical and infrared cameras, wireless sensor networks capable of monitoring different modalities (e.g. temperature and humidity) as well as local weather stations on the deployment site. The signals collected from these sensors are transmitted to a monitoring centre, which employs intelligent computer vision and pattern recognition algorithms as well as data fusion techniques to automatically analyze sensor information. The system is capable of generating automatic warning signals for local authorities whenever a dangerous situation arises, as well as estimating the propagation of the fire based on the fuel model of the area and other important parameters such as wind speed, slope, and aspect of the ground surface.Source: 19th European Signal Processing Conference, EUSIPCO 2011, pp. 889–893, Barcelona, Spain, 29 August - 2 September 2011
Project(s): FIRESENSE
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| www.eusipco2011.org
2011
Conference article
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Bayesian MAP detection of extragalactic point sources in microwave astronomical images
Herranz D. Argueso F., Salerno E., Kuruoglu E. E., Kayabol K.
In this paper we review a maximum a posteriori (MAP) approach detection method in a Bayesian scheme which incorporates prior information about the source flux distribution, the locations and the number of sources of extragalactic point sources in images of the Cosmic Microwave Background. This new technique allows us to obtain fast solutions and to fix the number of detected sources in a non-arbitrary way. The performance of the method is superior to that of the standard frequentist approach based on the matched filter.Source: 18th IEEE International Conference on Image Processing, ICIP 2011, pp. 1293–1296, Brussels, Belgium, 11-14 September 2011
DOI: 10.1109/icip.2011.6115671
Metrics:
Herranz D. Argueso F., Salerno E., Kuruoglu E. E., Kayabol K.
In this paper we review a maximum a posteriori (MAP) approach detection method in a Bayesian scheme which incorporates prior information about the source flux distribution, the locations and the number of sources of extragalactic point sources in images of the Cosmic Microwave Background. This new technique allows us to obtain fast solutions and to fix the number of detected sources in a non-arbitrary way. The performance of the method is superior to that of the standard frequentist approach based on the matched filter.Source: 18th IEEE International Conference on Image Processing, ICIP 2011, pp. 1293–1296, Brussels, Belgium, 11-14 September 2011
DOI: 10.1109/icip.2011.6115671
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doi.org | CNR ExploRA
2011
Conference article
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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
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CNR ExploRA
2011
Other
Unknown
Collisions
Tarabella L.
Collisions is a music project born in 2010 from the meeting of two opposite sound sources: the digital technology of Leonello Tarabella and the organic drumming of Alessandro Baris. The result is a musical dialogue of structure and improvisation, jazz and rock, ambient and contemporary, yet with it's own artistic identity led by Tarabella's interactive performance of using his bare hands to manipulate a unique sound technology developed in his computer music research.
Tarabella L.
Collisions is a music project born in 2010 from the meeting of two opposite sound sources: the digital technology of Leonello Tarabella and the organic drumming of Alessandro Baris. The result is a musical dialogue of structure and improvisation, jazz and rock, ambient and contemporary, yet with it's own artistic identity led by Tarabella's interactive performance of using his bare hands to manipulate a unique sound technology developed in his computer music research.
See at: CNR ExploRA | www.collisionsmusic.com
2011
Contribution to book
Closed Access
Surface growth processes induced by AFM debris production. A new observable for nanowear.
D'Acunto, Mario
Loss of material due to abrasion, adhesion, erosion or other types of wear mechanisms is a fundamental phenomenon occurring between two surfaces in relative motion on each other. Generally, in a wide range of length scales, from macroscale down to nanoscale, wear is quantified by measuring the volume loss after a wear test, and the quantification of the wear volume is the main observable to be measured in a wear test. In this chapter, we present some recent results showing that in precise experimental conditions, as ultrahigh vacuum (UHV) environments, surface growth processes induced by atomic force microscopy (AFM) tip sample abrasion can be estimated to have an accurate knowledge of atomic and molecular onset mechanisms involving the occurrence of wear mechanisms, mainly abrasion. In fact, recent UHV scratching AFM experiments made on ionic crystals showed the formation of small clusters, larger aggregates or regular patterns on the surface being scanned, and a theory capable of capturing the basic mechanisms producing the formation of such structures has been proposed. Such cluster structures, generally self-organised in regular structures, are mainly produced by the flux of adatoms generated by the AFM tip stripping off adatoms during the continuous passage of the probe tip on the surface being analysed. In UHV environments, surface diffusion is the dominant mass transport mechanism, and a non-equilibrium thermodynamic framework for the self-organised growth process has been developed demonstrating that the surface growth processes maintain a sort of coherence with respect to the flux rates of the adatomic debris induced by the AFM tip during the wear test making the wearing and the surface growth specular. As a consequence, the physical nature of the growth processes induced by AFM debris could represent a new observable to be measured for a new and accurate comprehension of wear mechanisms on nanoscale.Source: Scanning Probe Microscopy in Nanoscience and Nanotechnology 2, edited by Bharat Bhushan, pp. 505–531. Berlin: Springer, 2011
DOI: 10.1007/978-3-642-10497-8_17
Metrics:
D'Acunto, Mario
Loss of material due to abrasion, adhesion, erosion or other types of wear mechanisms is a fundamental phenomenon occurring between two surfaces in relative motion on each other. Generally, in a wide range of length scales, from macroscale down to nanoscale, wear is quantified by measuring the volume loss after a wear test, and the quantification of the wear volume is the main observable to be measured in a wear test. In this chapter, we present some recent results showing that in precise experimental conditions, as ultrahigh vacuum (UHV) environments, surface growth processes induced by atomic force microscopy (AFM) tip sample abrasion can be estimated to have an accurate knowledge of atomic and molecular onset mechanisms involving the occurrence of wear mechanisms, mainly abrasion. In fact, recent UHV scratching AFM experiments made on ionic crystals showed the formation of small clusters, larger aggregates or regular patterns on the surface being scanned, and a theory capable of capturing the basic mechanisms producing the formation of such structures has been proposed. Such cluster structures, generally self-organised in regular structures, are mainly produced by the flux of adatoms generated by the AFM tip stripping off adatoms during the continuous passage of the probe tip on the surface being analysed. In UHV environments, surface diffusion is the dominant mass transport mechanism, and a non-equilibrium thermodynamic framework for the self-organised growth process has been developed demonstrating that the surface growth processes maintain a sort of coherence with respect to the flux rates of the adatomic debris induced by the AFM tip during the wear test making the wearing and the surface growth specular. As a consequence, the physical nature of the growth processes induced by AFM debris could represent a new observable to be measured for a new and accurate comprehension of wear mechanisms on nanoscale.Source: Scanning Probe Microscopy in Nanoscience and Nanotechnology 2, edited by Bharat Bhushan, pp. 505–531. Berlin: Springer, 2011
DOI: 10.1007/978-3-642-10497-8_17
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doi.org | link.springer.com | CNR ExploRA
2011
Conference article
Restricted
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
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CNR ExploRA
2011
Journal article
Restricted
Good manufacturing practices-grade preformed ossicular prostheses from banked bone via computer numerically controlled micromilling
Stefano Berrettini, Luca Bruschini, Cesare Stefanini, Delfo D'Alessandro, Mario D'Acunto, Serena Danti
Objectives: The aim of this study was the fabrication of ossicular replacement prostheses (ORPs) from decellularized banked cortical bone via computer numerically controlled (CNC) ultraprecision micromilling, in order to obtain preformed clinical-grade tissue products, reproducing shape, size, and details perfectly comparable to those of synthetic devices. Methods: Banked femoral compact bone was used to fabricate partial and total ORPs via CNC micromilling according to Good Manufacturing Practices procedures. Drawings of ORPs with different shapes and sizes were uploaded to the computer interface, and different surface-finish parameters were tested. The obtained products underwent dimensional, weight, and surface characterizations. A histologic analysis was pursued to compare the bone matrix compactness of the produced ORPs to that of the ear ossicles. Results: Banked-bone ORPs were produced with high dimensional accuracy. Partial ORP weights averaged (+/- SD) 31.2 +/- 0.6 mg, and total ORP weights averaged 69.3 +/- 0.7 mg. The best-finish mode allowed microscale or nanoscale roughness free from machinery textures to be obtained. Finally, the histologic analysis confirmed that the extracellular matrix compactness of the produced ORPs was suitable for ossicular chain replacement. Conclusions: This study assesses the fabrication feasibility of novel banked-bone ORPs of extremely high dimensional accuracy. Such devices are aimed at combining the most favorable aspects of both synthetic (reproducibility, convenience, and biosafety) and biological replacements (total biocompatibility).Source: The Annals of otology, rhinology & laryngology 120 (2011): 9–16. doi:10.1177/000348941112000102
DOI: 10.1177/000348941112000102
Metrics:
Stefano Berrettini, Luca Bruschini, Cesare Stefanini, Delfo D'Alessandro, Mario D'Acunto, Serena Danti
Objectives: The aim of this study was the fabrication of ossicular replacement prostheses (ORPs) from decellularized banked cortical bone via computer numerically controlled (CNC) ultraprecision micromilling, in order to obtain preformed clinical-grade tissue products, reproducing shape, size, and details perfectly comparable to those of synthetic devices. Methods: Banked femoral compact bone was used to fabricate partial and total ORPs via CNC micromilling according to Good Manufacturing Practices procedures. Drawings of ORPs with different shapes and sizes were uploaded to the computer interface, and different surface-finish parameters were tested. The obtained products underwent dimensional, weight, and surface characterizations. A histologic analysis was pursued to compare the bone matrix compactness of the produced ORPs to that of the ear ossicles. Results: Banked-bone ORPs were produced with high dimensional accuracy. Partial ORP weights averaged (+/- SD) 31.2 +/- 0.6 mg, and total ORP weights averaged 69.3 +/- 0.7 mg. The best-finish mode allowed microscale or nanoscale roughness free from machinery textures to be obtained. Finally, the histologic analysis confirmed that the extracellular matrix compactness of the produced ORPs was suitable for ossicular chain replacement. Conclusions: This study assesses the fabrication feasibility of novel banked-bone ORPs of extremely high dimensional accuracy. Such devices are aimed at combining the most favorable aspects of both synthetic (reproducibility, convenience, and biosafety) and biological replacements (total biocompatibility).Source: The Annals of otology, rhinology & laryngology 120 (2011): 9–16. doi:10.1177/000348941112000102
DOI: 10.1177/000348941112000102
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Annals of Otology Rhinology & Laryngology | CNR ExploRA | www.annals.com | www.scopus.com
2011
Journal article
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Nanovectors for drug delivery: long-lived pore dynamics for swelling liposomes
Mario D'Acunto
A liposome is a spherical, bilayer vesicle separating the interior volume containing an aqueous solution, from an exterior suspension. A fundamental practical application provides the liposome used as vehicles for drug delivery. In this case, liposomes are designed to contain a specific drug or a gene needed to fight the disease. If a vesicle containing high internal solute concentration is placed inside a dilute solution, the osmotic flux of solvent into the interior can lead to its rupture or a formation of pores. Such pores can be long-lived pores or short-lived pores suddenly closing after their formations. Long-lived pores lead to a well controlled drug delivery. In this paper, we show that the existence of long-lived pores is completely conditioned only by the pore dynamics, and that the long-lived pore dynamics is highly stable because sustained by a limit cycle. Moreover, we calculate analytically the frequency of a long-lived pore making use of the He's variational method.Source: Mechanics research communications 38 (2011): 34–37. doi:10.1016/j.mechrescom.2010.11.002
DOI: 10.1016/j.mechrescom.2010.11.002
Metrics:
Mario D'Acunto
A liposome is a spherical, bilayer vesicle separating the interior volume containing an aqueous solution, from an exterior suspension. A fundamental practical application provides the liposome used as vehicles for drug delivery. In this case, liposomes are designed to contain a specific drug or a gene needed to fight the disease. If a vesicle containing high internal solute concentration is placed inside a dilute solution, the osmotic flux of solvent into the interior can lead to its rupture or a formation of pores. Such pores can be long-lived pores or short-lived pores suddenly closing after their formations. Long-lived pores lead to a well controlled drug delivery. In this paper, we show that the existence of long-lived pores is completely conditioned only by the pore dynamics, and that the long-lived pore dynamics is highly stable because sustained by a limit cycle. Moreover, we calculate analytically the frequency of a long-lived pore making use of the He's variational method.Source: Mechanics research communications 38 (2011): 34–37. doi:10.1016/j.mechrescom.2010.11.002
DOI: 10.1016/j.mechrescom.2010.11.002
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Mechanics Research Communications | CNR ExploRA | www.sciencedirect.com
2011
Journal article
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Poly(ester urethane) guides for peripheral nerve regeneration
Valeria Chiono, Susanna Sartori, Alfonsina Rechichi, Chiara Tonda-Turo, Giovanni Vozzi, Federico Vozzi, Mario D'Acunto, Claudia Salvadori, Francesca Dini, Giovanni Barsotti, Fabio Carlucci, Silvia Burchielli, Silvia Nicolino, Chiara Audisio, Isabelle Perroteau, Paolo Giusti, Gianluca Ciardelli
A biocompatible and elastomeric PU was synthesized from low-molecular-weight PCL as macrodiol, CMD as chain extender and HDI as chain linker for applications in the field of peripheral nerve repair. PU cast films supported in vitro attachment and proliferation of NOBEC. The in vitro adhesion and proliferation of S5Y5 neuroblastoma cells on the inner surface of uncoated, gelatin- and PL-coated PU guides were compared. Due to their superior in vitro performance, PL-coated PU guides were tested in vivo for the repair of 1.8 cm-long defects in rat sciatic nerves. The progressive regeneration was confirmed by EMG and histological analysis showing the presence of regenerating fibers in the distal stumps. Artificial nerve guides are a promising alternative to autografting for peripheral nerve repair. A newly synthesized biocompatible elastomeric poly(ester urethane) containing poly(?-caprolactone) segments was proposed for the realization of nerve guides. PU physicochemical and biological properties were analyzed. Successful nerve regeneration was demonstrated in a rat sciatic nerve model.Source: Macromolecular bioscience (Print) 11 (2011): 245–256. doi:10.1002/mabi.201000354
DOI: 10.1002/mabi.201000354
Metrics:
Valeria Chiono, Susanna Sartori, Alfonsina Rechichi, Chiara Tonda-Turo, Giovanni Vozzi, Federico Vozzi, Mario D'Acunto, Claudia Salvadori, Francesca Dini, Giovanni Barsotti, Fabio Carlucci, Silvia Burchielli, Silvia Nicolino, Chiara Audisio, Isabelle Perroteau, Paolo Giusti, Gianluca Ciardelli
A biocompatible and elastomeric PU was synthesized from low-molecular-weight PCL as macrodiol, CMD as chain extender and HDI as chain linker for applications in the field of peripheral nerve repair. PU cast films supported in vitro attachment and proliferation of NOBEC. The in vitro adhesion and proliferation of S5Y5 neuroblastoma cells on the inner surface of uncoated, gelatin- and PL-coated PU guides were compared. Due to their superior in vitro performance, PL-coated PU guides were tested in vivo for the repair of 1.8 cm-long defects in rat sciatic nerves. The progressive regeneration was confirmed by EMG and histological analysis showing the presence of regenerating fibers in the distal stumps. Artificial nerve guides are a promising alternative to autografting for peripheral nerve repair. A newly synthesized biocompatible elastomeric poly(ester urethane) containing poly(?-caprolactone) segments was proposed for the realization of nerve guides. PU physicochemical and biological properties were analyzed. Successful nerve regeneration was demonstrated in a rat sciatic nerve model.Source: Macromolecular bioscience (Print) 11 (2011): 245–256. doi:10.1002/mabi.201000354
DOI: 10.1002/mabi.201000354
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Macromolecular Bioscience | onlinelibrary.wiley.com | CNR ExploRA
2011
Journal article
Open Access
Planck early results: the Planck mission
Salerno, E., Ade, P., D'Acqui, L. P.
The European Space Agency's Planck satellite was launched on 14 May 2009, and has been surveying the sky stably and continuously since 13 August 2009. Its performance is well in line with expectations, and it will continue to gather scientific data until the end of its cryogenic lifetime. We give an overview of the history of Planck in its first year of operations, and describe some of the key performance aspects of the satellite. This paper is part of a package submitted in conjunction with Planck's Early Release Compact Source Catalogue, the first data product based on Planck to be released publicly. The package describes the scientific performance of the Planck payload, and presents results on a variety of astrophysical topics related to the sources included in the Catalogue, as well as selected topics on di use emission.Source: Astronomy & astrophysics (Print) 536 (2011). doi:10.1051/0004-6361/201116464
DOI: 10.1051/0004-6361/201116464
DOI: 10.48550/arxiv.1101.2022
Metrics:
Salerno, E., Ade, P., D'Acqui, L. P.
The European Space Agency's Planck satellite was launched on 14 May 2009, and has been surveying the sky stably and continuously since 13 August 2009. Its performance is well in line with expectations, and it will continue to gather scientific data until the end of its cryogenic lifetime. We give an overview of the history of Planck in its first year of operations, and describe some of the key performance aspects of the satellite. This paper is part of a package submitted in conjunction with Planck's Early Release Compact Source Catalogue, the first data product based on Planck to be released publicly. The package describes the scientific performance of the Planck payload, and presents results on a variety of astrophysical topics related to the sources included in the Catalogue, as well as selected topics on di use emission.Source: Astronomy & astrophysics (Print) 536 (2011). doi:10.1051/0004-6361/201116464
DOI: 10.1051/0004-6361/201116464
DOI: 10.48550/arxiv.1101.2022
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arXiv.org e-Print Archive 
| Astronomy and Astrophysics | Maynooth University ePrints & eTheses Archive | HELDA - Digital Repository of the University of Helsinki | Recolector de Ciencia Abierta, RECOLECTA | Repositorio Institucional de la Universidad de Oviedo | SISSA Digital Library | Maynooth University ePrints & eTheses Archive | Online Research Database In Technology | CORE (RIOXX-UK Aggregator) | Astronomy and Astrophysics | Astronomy and Astrophysics | doi.org | HAL-Inserm | CNR ExploRA
2011
Journal article
Open Access
Planck early results: the low frequency instrument data processing
Zacchei A., Bedini L., Salerno E.
We describe the data processing pipeline employed by the Low Frequency Instrument (LFI) Data Processing Centre (DPC) to create and characterize the frequency maps used by the ERCSC (Early Release Compact Source Catalogue) first product of Planck to become public. In particular, we discuss the various steps involved in reducing the data, starting from telemetry (TM) packets through to the production of cleaned calibrated timelines and calibrated frequency maps. Data are continuously calibrated using the modulation induced on the mean temperature of the Cosmic Microwave Background Radiation by the proper motion of the spacecraft. The sky signals other than the dipole are removed by an iterative procedure based on simultaneous fitting of calibration parameters and sky maps. Noise properties are estimated from time-ordered data where the sky signal is removed using a Generalized Least Square map-making algorithm. The measured 1/f noise knee-frequencies range from ~ 100 mHz at 30 GHz to a few tens of mHz at 70 GHz. A destriping code (Madam) is employed to combine radiometric data and pointing information into sky maps, minimizing the variance of correlated noise. Noise covariance matrices required to compute statistical uncertainties on LFI and Planck products are also produced. Main beams are estimated down to the ? -10 dB level using Jupiter transits which are also used for the geometrical calibration of the focal plane.Source: Astronomy & astrophysics (Online) 536 (2011): 1–20. doi:10.1051/0004-6361/201116484
DOI: 10.1051/0004-6361/201116484
DOI: 10.48550/arxiv.1101.2040
Project(s): Cosmology and the Planck satellite, DEISA2 , Planck-satelliitin datan analysointi
Metrics:
Zacchei A., Bedini L., Salerno E.
We describe the data processing pipeline employed by the Low Frequency Instrument (LFI) Data Processing Centre (DPC) to create and characterize the frequency maps used by the ERCSC (Early Release Compact Source Catalogue) first product of Planck to become public. In particular, we discuss the various steps involved in reducing the data, starting from telemetry (TM) packets through to the production of cleaned calibrated timelines and calibrated frequency maps. Data are continuously calibrated using the modulation induced on the mean temperature of the Cosmic Microwave Background Radiation by the proper motion of the spacecraft. The sky signals other than the dipole are removed by an iterative procedure based on simultaneous fitting of calibration parameters and sky maps. Noise properties are estimated from time-ordered data where the sky signal is removed using a Generalized Least Square map-making algorithm. The measured 1/f noise knee-frequencies range from ~ 100 mHz at 30 GHz to a few tens of mHz at 70 GHz. A destriping code (Madam) is employed to combine radiometric data and pointing information into sky maps, minimizing the variance of correlated noise. Noise covariance matrices required to compute statistical uncertainties on LFI and Planck products are also produced. Main beams are estimated down to the ? -10 dB level using Jupiter transits which are also used for the geometrical calibration of the focal plane.Source: Astronomy & astrophysics (Online) 536 (2011): 1–20. doi:10.1051/0004-6361/201116484
DOI: 10.1051/0004-6361/201116484
DOI: 10.48550/arxiv.1101.2040
Project(s): Cosmology and the Planck satellite
, DEISA2 , Planck-satelliitin datan analysointi Metrics:
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arXiv.org e-Print Archive | Astronomy and Astrophysics | HELDA - Digital Repository of the University of Helsinki | Recolector de Ciencia Abierta, RECOLECTA | Repositorio Institucional de la Universidad de Oviedo | SISSA Digital Library | Online Research Database In Technology | Astronomy and Astrophysics | Astronomy and Astrophysics | doi.org | HAL-Inserm | CNR ExploRA
2011
Conference article
Closed Access
Long range correlations between nucleotide triplets
Vitale D., Kuruoglu E. E., Abul O.
The study of statistical fluctuations in DNA sequences can reveal important characteristics of their organization. Particularly, in the last two decades, several studies have focused on the detection of Long Range Correlations (LRC) in DNA sequences, and on the study of particular long range dependence properties of nucleotides. Since protein coding is carried out by codons (nucleotide triplets), we conduct LRD analysis to see whether there is a long range dependence among nucleotide triplets. Our interest is not limited to auto correlations of single codons, but also extends to cross correlations over all possible pairs of nucleotide triplets. The analysis on nucleotide triplets reveal LRCs for the human Chromosomes 20 and 21. Moreover, some triplets that contain only nucleotides Adenine and Thymine are seen to exhibit correlation significantly higher than others.Source: 6th International Symposium on Health Informatics and Bioinformatics, HIBIT 2011, pp. 241–244, Izmir, Turchia, 2-5 May 2011
Vitale D., Kuruoglu E. E., Abul O.
The study of statistical fluctuations in DNA sequences can reveal important characteristics of their organization. Particularly, in the last two decades, several studies have focused on the detection of Long Range Correlations (LRC) in DNA sequences, and on the study of particular long range dependence properties of nucleotides. Since protein coding is carried out by codons (nucleotide triplets), we conduct LRD analysis to see whether there is a long range dependence among nucleotide triplets. Our interest is not limited to auto correlations of single codons, but also extends to cross correlations over all possible pairs of nucleotide triplets. The analysis on nucleotide triplets reveal LRCs for the human Chromosomes 20 and 21. Moreover, some triplets that contain only nucleotides Adenine and Thymine are seen to exhibit correlation significantly higher than others.Source: 6th International Symposium on Health Informatics and Bioinformatics, HIBIT 2011, pp. 241–244, Izmir, Turchia, 2-5 May 2011
See at:
CNR ExploRA
2011
Journal article
Open Access
Superimposed event detection by particle filters
Urfalioglu O., Kuruoglu E. E., Cetin E. A.
In this study, the authors consider online detection and separation of superimposed events by applying particle filtering. They observe only a single-channel superimposed signal, which consists of a background signal and one or more event signals in the discrete-time domain. It is assumed that the signals are statistically independent and can be described by random processes with known parametric models. The activation and deactivation times of event signals are assumed to be unknown. This problem can be described as a jump Markov system (JMS) in which all signals are estimated simultaneously. In a JMS, states contain additional parameters to identify models. However, for superimposed event detection, the authors show that the underlying JMS-based particle-filtering method can be reduced to a standard Markov chain method without additional parameters. Numerical experiments using real-world sound processing data demonstrate the effectiveness of their approach.Source: IET signal processing (Print) 5 (2011): 662–668. doi:10.1049/iet-spr.2010.0022
DOI: 10.1049/iet-spr.2010.0022
Project(s): FIRESENSE
Metrics:
Urfalioglu O., Kuruoglu E. E., Cetin E. A.
In this study, the authors consider online detection and separation of superimposed events by applying particle filtering. They observe only a single-channel superimposed signal, which consists of a background signal and one or more event signals in the discrete-time domain. It is assumed that the signals are statistically independent and can be described by random processes with known parametric models. The activation and deactivation times of event signals are assumed to be unknown. This problem can be described as a jump Markov system (JMS) in which all signals are estimated simultaneously. In a JMS, states contain additional parameters to identify models. However, for superimposed event detection, the authors show that the underlying JMS-based particle-filtering method can be reduced to a standard Markov chain method without additional parameters. Numerical experiments using real-world sound processing data demonstrate the effectiveness of their approach.Source: IET signal processing (Print) 5 (2011): 662–668. doi:10.1049/iet-spr.2010.0022
DOI: 10.1049/iet-spr.2010.0022
Project(s): FIRESENSE
Metrics:
See at:
IET Signal Processing | IET Signal Processing | CNR ExploRA
2011
Journal article
Restricted
Alpha-stable channel capacity
Wang J., Kuruoglu E. E., Zhou T.
Alpha-stable distributions have found various applications in the literature especially in modelling impulsive noise in communications channels. Despite various schemes for receiver design under alpha-stable noise, the channel coding problem has not been addressed yet. In this letter, we develop the channel capacity for the alpha-stable channels both for the symmetric and the skewed cases and provide numerical bounds for its lossy coding performance. Blahut-Arimoto algorithm is used to calculate the capacity of alpha-stable channel and its efficiency is demonstrated.Source: IEEE communications letters (Print) 5 (2011): 1107–1109. doi:10.1109/LCOMM.2011.081011.110813
DOI: 10.1109/lcomm.2011.081011.110813
Metrics:
Wang J., Kuruoglu E. E., Zhou T.
Alpha-stable distributions have found various applications in the literature especially in modelling impulsive noise in communications channels. Despite various schemes for receiver design under alpha-stable noise, the channel coding problem has not been addressed yet. In this letter, we develop the channel capacity for the alpha-stable channels both for the symmetric and the skewed cases and provide numerical bounds for its lossy coding performance. Blahut-Arimoto algorithm is used to calculate the capacity of alpha-stable channel and its efficiency is demonstrated.Source: IEEE communications letters (Print) 5 (2011): 1107–1109. doi:10.1109/LCOMM.2011.081011.110813
DOI: 10.1109/lcomm.2011.081011.110813
Metrics:
See at:
IEEE Communications Letters | CNR ExploRA
2011
Journal article
Restricted
Pattern recognition methods for thermal drift correction in atomic force microscopy imaging
M. D'Acunto And O. Salvetti
Atomic Force Microscopy (AFM) is a fundamental tool for the investigation of a wide range of mechanical properties on nanoscale due to the contact interaction between the AFM tip and the sample surface. The information recorded with AFM is stored and synthesized by imaging the sample properties to be studied. Distortions and unwanted effects in AFM images can be produced both due to instrumental sources or sample unknown bad responses. The focus of this paper is on an algorithm for distortion corrections for AFM recorded images due to the convolution of thermal drift and unknown polymer compliance. When a sequence of AFM images correspondent to the same polymeric area is acquired, it is common to observe the convolution of thermal drift with surface modifications due to the AFM tip stresses. The surface modifications are material properties and add knowledge to the response of the materials on nanoscale. As a consequence, a suitable de-convolution of the thermal drifts on the recorded images needs to be developed. Because soft polymeric samples can present unwanted height alteration due to the stressing AFM tip contact, we present a method that combines a thermal drifts correcting tool (where the original images are modified using a suitable mapping function) with a height rescaling method. In turn, an image matching method based on a Tikhonov functional is developed between topography data and the surface elastic maps, respectively. The precision achieved and the fast computation time required make our methods particularly useful for image analysis on soft polymeric samples as well as in a wide range of other scanning probe microscopy applications.Source: Pattern recognition and image analysis 21 (2011): 9–19. doi:10.1134/S1054661811010056
DOI: 10.1134/s1054661811010056
Metrics:
M. D'Acunto And O. Salvetti
Atomic Force Microscopy (AFM) is a fundamental tool for the investigation of a wide range of mechanical properties on nanoscale due to the contact interaction between the AFM tip and the sample surface. The information recorded with AFM is stored and synthesized by imaging the sample properties to be studied. Distortions and unwanted effects in AFM images can be produced both due to instrumental sources or sample unknown bad responses. The focus of this paper is on an algorithm for distortion corrections for AFM recorded images due to the convolution of thermal drift and unknown polymer compliance. When a sequence of AFM images correspondent to the same polymeric area is acquired, it is common to observe the convolution of thermal drift with surface modifications due to the AFM tip stresses. The surface modifications are material properties and add knowledge to the response of the materials on nanoscale. As a consequence, a suitable de-convolution of the thermal drifts on the recorded images needs to be developed. Because soft polymeric samples can present unwanted height alteration due to the stressing AFM tip contact, we present a method that combines a thermal drifts correcting tool (where the original images are modified using a suitable mapping function) with a height rescaling method. In turn, an image matching method based on a Tikhonov functional is developed between topography data and the surface elastic maps, respectively. The precision achieved and the fast computation time required make our methods particularly useful for image analysis on soft polymeric samples as well as in a wide range of other scanning probe microscopy applications.Source: Pattern recognition and image analysis 21 (2011): 9–19. doi:10.1134/S1054661811010056
DOI: 10.1134/s1054661811010056
Metrics:
See at:
Pattern Recognition and Image Analysis | link.springer.com | CNR ExploRA
2011
Journal article
Restricted
A deterministic algorithm for optical flow estimation
Gerace I., Martinelli F., Pucci P.
In this paper we propose a new deterministic algorithm for determining optical flow through regularization techniques so that the solution of the problem is defined as the minimum of an appropriate energy function. We also assume that the displacements are piecewise continuous and that the discontinuities are variable to be estimated. More precisely, we introduce a hierarchical three-step optimization strategy to minimize the constructed energy function, which is not convex. In the first step we find a suitable initial guess of the displacements field by a gradient-based GNC algorithm. In the second step we define the local energy of a displacement field as the energy function obtained by fixing all the field with the exception of a row or of a column. Then, through an application of the shortest path technique we minimize iteratively each local energy function restricted to a row or to a column until we arrive at a fixed point. In the last step we use again a GNC algorithm to recover a sub-pixel accuracy. The experimental results confirm the goodness of this technique.Source: Communications in Applied and Industrial Mathematics 1 (2011): 249–268. doi:10.1685/2010CAIM584
DOI: 10.1685/2010caim584
Metrics:
Gerace I., Martinelli F., Pucci P.
In this paper we propose a new deterministic algorithm for determining optical flow through regularization techniques so that the solution of the problem is defined as the minimum of an appropriate energy function. We also assume that the displacements are piecewise continuous and that the discontinuities are variable to be estimated. More precisely, we introduce a hierarchical three-step optimization strategy to minimize the constructed energy function, which is not convex. In the first step we find a suitable initial guess of the displacements field by a gradient-based GNC algorithm. In the second step we define the local energy of a displacement field as the energy function obtained by fixing all the field with the exception of a row or of a column. Then, through an application of the shortest path technique we minimize iteratively each local energy function restricted to a row or to a column until we arrive at a fixed point. In the last step we use again a GNC algorithm to recover a sub-pixel accuracy. The experimental results confirm the goodness of this technique.Source: Communications in Applied and Industrial Mathematics 1 (2011): 249–268. doi:10.1685/2010CAIM584
DOI: 10.1685/2010caim584
Metrics:
See at:
caim.simai.eu | CNR ExploRA
2011
Journal article
Open Access
Time varying dynamic bayesian network for nonstationary events modeling and online inference
Zhaowen Wang, Ercan E. Kuruoglu, Xiaokang Yang, Yi Xu, Thomas S. Huang
This paper presents a novel time varying dynamic Bayesian network (TVDBN) model for the analysis of nonstationary sequences which are of interest in many fields. The changing network structure and parameter in TVDBN are treated as random processes whose values at each time epoch determine a stationary DBN model; this DBN model is then used to specify the distribution of data sequence at the time epoch. Under such a hierarchical formulation, the changing state of network can be incorporated into the Bayesian framework straightforwardly. The network state is assumed to transit smoothly in the joint space of numerical parameter and graphical topology so that we can achieve robust online network learning even without abundant observations. Particle filtering is employed to dynamically update current network state as well as infer hidden data values. We implement our time varying model for data sequences of multinomial and Gaussian distributions, while the general model framework can be used for any other distribution. Simulations on synthetic data and evaluations on video sequences both demonstrate that the proposed TVDBN is effective in modeling nonstationary sequences. Comprehensive comparisons have been made against existing nonstationary models, and our proposed model is shown to be the top performer.Source: IEEE transactions on signal processing 59 (2011): 1553–1568. doi:10.1109/TSP.2010.2103071
DOI: 10.1109/tsp.2010.2103071
Metrics:
Zhaowen Wang, Ercan E. Kuruoglu, Xiaokang Yang, Yi Xu, Thomas S. Huang
This paper presents a novel time varying dynamic Bayesian network (TVDBN) model for the analysis of nonstationary sequences which are of interest in many fields. The changing network structure and parameter in TVDBN are treated as random processes whose values at each time epoch determine a stationary DBN model; this DBN model is then used to specify the distribution of data sequence at the time epoch. Under such a hierarchical formulation, the changing state of network can be incorporated into the Bayesian framework straightforwardly. The network state is assumed to transit smoothly in the joint space of numerical parameter and graphical topology so that we can achieve robust online network learning even without abundant observations. Particle filtering is employed to dynamically update current network state as well as infer hidden data values. We implement our time varying model for data sequences of multinomial and Gaussian distributions, while the general model framework can be used for any other distribution. Simulations on synthetic data and evaluations on video sequences both demonstrate that the proposed TVDBN is effective in modeling nonstationary sequences. Comprehensive comparisons have been made against existing nonstationary models, and our proposed model is shown to be the top performer.Source: IEEE transactions on signal processing 59 (2011): 1553–1568. doi:10.1109/TSP.2010.2103071
DOI: 10.1109/tsp.2010.2103071
Metrics:
See at:
IEEE Transactions on Signal Processing | IEEE Transactions on Signal Processing | ieeexplore.ieee.org | CNR ExploRA
2011
Journal article
Open Access
A Bayesian technique for the detection of point sources in CMB maps
Argueso F., Salerno E., Herranz D., Sanz J. L., Kuruoglu E. E., Kayabol K.
The detection and flux estimation of point sources in cosmic microwave background (CMB) maps is a very important task in order to clean the maps and also to obtain relevant astrophysical information. In this paper we propose a maximum a posteriori (MAP) approach detection method in a Bayesian scheme which incorporates prior information about the source flux distribution, the locations and the number of sources. We apply this method to CMB simulations with the characteristics of the Planck satellite channels at 30, 44, 70 and 100 GHz. With a similar level of spurious sources, our method yields more complete catalogues than the matched filter with a 5 sigma threshold. Besides, the new technique allows us to fix the number of detected sources in a non-arbitrary way.Source: Monthly notices of the Royal Astronomical Society (Online) 414 (2011): 410–417. doi:10.1111/j.1365-2966.2011.18398.x
DOI: 10.1111/j.1365-2966.2011.18398.x
Metrics:
Argueso F., Salerno E., Herranz D., Sanz J. L., Kuruoglu E. E., Kayabol K.
The detection and flux estimation of point sources in cosmic microwave background (CMB) maps is a very important task in order to clean the maps and also to obtain relevant astrophysical information. In this paper we propose a maximum a posteriori (MAP) approach detection method in a Bayesian scheme which incorporates prior information about the source flux distribution, the locations and the number of sources. We apply this method to CMB simulations with the characteristics of the Planck satellite channels at 30, 44, 70 and 100 GHz. With a similar level of spurious sources, our method yields more complete catalogues than the matched filter with a 5 sigma threshold. Besides, the new technique allows us to fix the number of detected sources in a non-arbitrary way.Source: Monthly notices of the Royal Astronomical Society (Online) 414 (2011): 410–417. doi:10.1111/j.1365-2966.2011.18398.x
DOI: 10.1111/j.1365-2966.2011.18398.x
Metrics:
See at:
Monthly Notices of the Royal Astronomical Society | Monthly Notices of the Royal Astronomical Society | onlinelibrary.wiley.com | CNR ExploRA
2011
Journal article
Restricted
Visual sensor networks for infomobility
Magrini M., Moroni D., Nastasi C., Pagano P., Petracca M., Pieri G., Salvadori C., Salvetti O.
The wide availability of embedded sensor platforms and low-cost cameras-together with the developments in wireless communication-make it now possible the conception of pervasive intelligent systems based on vision. Such systems may be understood as distributed and collaborative sensor networks, able to produce, aggregate and process images in order to understand the observed scene and communicate the relevant information found about it. In this paper, we investigate the peculiarities of visual sensor networks with respect to standard vision systems and we identify possible strategies to accomplish image processing and analysis tasks over them. Although the rather strong constraints in computational and transmission power of embedded platforms that may prevent the use of state of the art computer vision and pattern recognition methods, we argue that multi-node processing methods may be envisaged to decompose a complex task into a hierarchy of computationally simpler problems to be solved over the nodes of the network. These ideas are illustrated by describing an application of visual sensor network to infomobility. In particular, we consider an experimental setting in which several views of a parking lot are acquired by the sensor nodes in the network. By integrating the various views, the network is capable to provide a description of the scene in terms of the available spaces in the parking lot.Source: Pattern recognition and image analysis 21 (2011): 20–29. doi:10.1134/S1054661811010093
DOI: 10.1134/s1054661811010093
Project(s): ARTISTDESIGN
Metrics:
Magrini M., Moroni D., Nastasi C., Pagano P., Petracca M., Pieri G., Salvadori C., Salvetti O.
The wide availability of embedded sensor platforms and low-cost cameras-together with the developments in wireless communication-make it now possible the conception of pervasive intelligent systems based on vision. Such systems may be understood as distributed and collaborative sensor networks, able to produce, aggregate and process images in order to understand the observed scene and communicate the relevant information found about it. In this paper, we investigate the peculiarities of visual sensor networks with respect to standard vision systems and we identify possible strategies to accomplish image processing and analysis tasks over them. Although the rather strong constraints in computational and transmission power of embedded platforms that may prevent the use of state of the art computer vision and pattern recognition methods, we argue that multi-node processing methods may be envisaged to decompose a complex task into a hierarchy of computationally simpler problems to be solved over the nodes of the network. These ideas are illustrated by describing an application of visual sensor network to infomobility. In particular, we consider an experimental setting in which several views of a parking lot are acquired by the sensor nodes in the network. By integrating the various views, the network is capable to provide a description of the scene in terms of the available spaces in the parking lot.Source: Pattern recognition and image analysis 21 (2011): 20–29. doi:10.1134/S1054661811010093
DOI: 10.1134/s1054661811010093
Project(s): ARTISTDESIGN
Metrics:
See at:
Pattern Recognition and Image Analysis | link.springer.com | CNR ExploRA