Search results for "1707"

showing 10 items of 274 documents

A Non-Local Mode-I Cohesive Model for Ascending Thoracic Aorta Dissections (ATAD)

2018

This paper presents a non-local interface mechanical model to describe aortic dissection. In this regard, the mode-I debonding problem based on a cohesive zone modeling is endowed with non-local terms to include long-range interactions that are present in multi-layered biological tissue. Such non-local effects are related to the collagen fibers that transmit forces between non-adjacent elements. Numerical simulations are provided with different values of the non-local parameters in order to show the effect of the non-locality during the debonding processes.

cohesive zone modelSettore MED/09 - Medicina InternaMaterials scienceEnergy Engineering and Power Technologydebonding processIndustrial and Manufacturing Engineeringbiomechanicsnon-local effectsArtificial Intelligencemedicine.arterybiomechanics; cohesive zone model; debonding process; non-local effectsmedicineThoracic aortaInstrumentationdebonding proceAortic dissectionRenewable Energy Sustainability and the EnvironmentMode (statistics)BiomechanicsComputer Science Applications1707 Computer Vision and Pattern RecognitionMechanicsBiological tissuemedicine.diseaseNon localCohesive zone modelComputer Networks and Communicationnon-local effectbiomechanicSettore ICAR/08 - Scienza Delle Costruzioni
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Predicting the availability of users' devices in Decentralized Online Social Networks

2018

The understanding of the user temporal behavior is a crucial aspect for all those systems that rely on user resources for daily operations, such as decentralized online social networks (DOSNs). Indeed, DOSNs exploit the devices of their users to take on and share the tasks needed to provide services such as storing the published data. In the last years, the increasing popularity of DOSN services has changed the way of how people interact with each other by enabling users to connect to these services at any time by using their personal devices (such as notebooks or smartphones). As a result, the availability of data in these systems is strongly affected (or reflected) by the temporal behavio…

decentralized online social networkdecentralized online social networksavailability predictionComputer Networks and CommunicationComputational Theory and Mathematicsavailabilityuser behaviorComputer Science Applications1707 Computer Vision and Pattern Recognitionpredictionavailability prediction; decentralized online social networks; user behaviorSoftwareTheoretical Computer Science
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Distributed optimal power flow for islanded microgrids: An application to the Smart Polygeneration Microgrid of the Genoa University

2016

In this work, the application of an original distributed optimal power flow method to test a microgrid in the Savona area, Italy is proposed. The microgrid shows different types of Distributed Energy Resources (DERs) and is connected to the main grid through a fixed power bus. Due to the high computational speed, the applied distributed Optimal Power Flow can be performed almost in real time, i.e. every 5 minutes or less. The operating solution found for generators, simply using local information, corresponds to a suboptimal condition with reduced losses, bus voltages and line currents within constrained intervals. The distributed optimization algorithm is iterative, but also fast. It is ba…

distributed optimization micro-grids optimal power flowbusiness.industryBusbarHeuristic (computer science)Computer science020209 energyComputer Science Applications1707 Computer Vision and Pattern Recognitionmicro-grids02 engineering and technologyMicro-gridGridDistributed optimizationEvery 5 minutesSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaPower flowComputer Networks and CommunicationControl theoryDistributed generationUrban Studie0202 electrical engineering electronic engineering information engineeringMicrogridbusinessOptimal power flowSimulationVoltage2016 IEEE International Smart Cities Conference (ISC2)
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Scratch detection and removal from static images using simple statistics and genetic algorithms

2002

This paper investigates the removal of line scratches from old movies and gives a twofold contribution. First, it presents simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratch removal is approached as an optimisation problem, and it is solved by using a genetic algorithm. The method can be classified as a static approach, as it works independently on each single frame of the sequence. It does not require any a-priori knowledge of the absolute position of the scratch, nor an external starting population of chromosomes for the genetic algorithm. The central column of the line scratch once detected is changed with a conven…

education.field_of_studySettore INF/01 - InformaticaComputer sciencePopulationImage processingLinear interpolationObject detectionHardware and ArchitectureScratchStatisticsLine (geometry)Genetic algorithmElectrical and Electronic Engineeringeducationcomputer1707Interpolationcomputer.programming_language
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A fully automatic method for biological target volume segmentation of brain metastases

2016

Leksell Gamma Knife is a mini-invasive technique to obtain a complete destruction of cerebral lesions delivering a single high dose radiation beam. Positron Emission Tomography (PET) imaging is increasingly utilized for radiation treatment planning. Nevertheless, lesion volume delineation in PET datasets is challenging because of the low spatial resolution and high noise level of PET images. Nowadays, the biological target volume (BTV) is manually contoured on PET studies. This procedure is time expensive and operator-dependent. In this article, a fully automatic algorithm for the BTV delineation based on random walks (RW) on graphs is proposed. The results are compared with the outcomes of…

gamma knifePET imagingcerebral tumors segmentation030218 nuclear medicine & medical imagingrandom walk03 medical and health sciences0302 clinical medicinemedicineSegmentationElectrical and Electronic EngineeringRadiation treatment planningCluster analysisImage resolution1707Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryElectronic Optical and Magnetic Materialbiological target volumePattern recognitionThresholdingElectronic Optical and Magnetic MaterialsRegion growingPositron emission tomography030220 oncology & carcinogenesisbiological target volume cerebral tumors segmentation gamma knife PET imaging random walkComputer Vision and Pattern RecognitionArtificial intelligenceNuclear medicinebusinessSoftwareVolume (compression)International Journal of Imaging Systems and Technology
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Early warning thresholds for partially saturated slopes in volcanic ashes

2013

Rainfall-induced landslides in steep soil slopes of volcanic origin are a major threat to human lives and infrastructure. In the context of constructing early warning systems in regions where extensive data on landslide occurrences and associated rainfall are inexistent, physically-based tools offer the possibility to establish thresholds for measurable field quantities. In this paper, a combined finite element infinite slope model is presented to study the transient hydraulic response of volcanic ash slopes to a series of rainfall events and to estimate seasonal safety factors. Furthermore, analytical considerations of partially saturated infinite slopes are made to define capillary stress…

geographygeography.geographical_feature_categorySeepage analysiWarning systemComputer Science Applications1707 Computer Vision and Pattern RecognitionContext (language use)Partially saturatedLandslideGeotechnical Engineering and Engineering GeologyComputer Science Applicationsearly warning thresholdseepage analysisPartially saturated soilslope stabilityVolcanorain infiltrationSlope stabilityvolcanic ashEarly warning systemGeomorphologyGeologyVolcanic ash
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A study of the relationship between regulatory systems, assessment e locomotion, and online learning groups

2011

The present paper examines the relationship between assessment, locomotion and attitudes and learning outcomes in a Computer-supported collaborative learning (CSCL) framework. Results showed that regulatory mode predicted exam marks, numbers of tasks completed, messages sent and attitudes towards the course and the ingroup. The theoretical implications and some reflections about CSCL and Regulatory-mode Theory (RMT) are presented.

lcsh:Theory and practice of educationCSCL3304CSCL Regulatory-mode theory higher education assessment locomotion.higher educationassessmentlocomotion.Computer Science Applications1707 Computer Vision and Pattern RecognitionRegulatory-mode theorySettore M-PSI/05 - Psicologia SocialeLocomotionlcsh:LB5-3640
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E-Fairs: a Cyber-Physical System for Aggregation and Economy of Scale in e-Commerce

2018

In recent years, the e-commerce arena has deeply changed because of the advent of new business models and the growing weight of huge global actors like Amazon. Some business models create competition between users, and the product price tends to rise (e.g., online auctions); other models, including group-buying, make users cooperate, and the price tends to go down. The present study extends the group-buying model and proposes a cyber-physical system called e-fair, in which both sellers and buyers are grouped to negotiate on a specific product or service. E-fairs minimize the global purchase price and the shipping resources respectively with the aggregation of demand and supply as well as or…

media_common.quotation_subjectEnergy Engineering and Power TechnologyE-commerceBusiness modelIndustrial and Manufacturing Engineeringe-fairSupply and demandCompetition (economics)aggregation; e-fair; group buying; the blockchainArtificial Intelligencegroup buyingCommon value auctionInstrumentationIndustrial organizationmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGroup buyingRenewable Energy Sustainability and the Environmentbusiness.industryaggregationComputer Science Applications1707 Computer Vision and Pattern RecognitionProduct (business)Computer Networks and CommunicationService (economics)the blockchainbusiness2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks

2017

To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulation of heart period (H), systolic and diastolic arterial pressure (S, D) and respiratory (R) variability, the joint dynamics of these variables need to be explored using multivariate time series analysis. This study proposes the utilization of information-theoretic measures to measure causal interactions between nodes of the cardiovascular/cardiorespiratory network and to assess the nature (synergistic or redundant) of these directed interactions. Indexes of information transfer and information modification are extracted from the H, S, D and R series measured from healthy subjects in a resting…

medicine.medical_specialtyInformation transferPosture0206 medical engineeringBiomedical EngineeringBlood PressureHealth Informatics02 engineering and technologycomputer.software_genreCardiovascular SystemDiastolic arterial pressureAutonomic regulation03 medical and health sciences0302 clinical medicineHeart RateInternal medicineBayesian multivariate linear regressionmedicine1707Resting state fMRIbusiness.industryRespirationMultivariate time series analysisHealthy subjectsCardiorespiratory fitness020601 biomedical engineeringSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear ModelsCardiologyData miningbusinesscomputer030217 neurology & neurosurgery2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Causal analysis of short-term cardiovascular variability: state-dependent contribution of feedback and feedforward mechanisms.

2016

Baroreflex function is usually assessed from spontaneous oscillations of blood pressure (BP) and cardiac RR interval assuming a unidirectional influence from BP to RR. However, the interaction of BP and RR is bidirectional—RR also influences BP. Novel methods based on the concept of Granger causality were recently developed for separate analysis of feedback (baroreflex) and feedforward (mechanical) interactions between RR and BP. We aimed at assessing the proportion of the two causal directions of the interactions between RR and systolic BP (SBP) oscillations during various conditions, and at comparing causality measures from SBP to RR with baroreflex gain indexes. Arterial BP and ECG sig…

medicine.medical_specialtySupine position0206 medical engineeringBiomedical EngineeringBlood Pressure02 engineering and technologyBaroreflex03 medical and health sciencesElectrocardiographyYoung Adult0302 clinical medicineInternal medicineHeart ratemedicineSupine PositionHumanscardiovascular diseasesSimulationFeedback PhysiologicalHead-up tiltFeed forwardComputer Science Applications1707 Computer Vision and Pattern RecognitionSignal Processing Computer-AssistedBaroreflex020601 biomedical engineeringCausalityComputer Science ApplicationsTerm (time)Blood pressureMental arithmeticState dependentSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityCardiologyInformation domainPsychology030217 neurology & neurosurgeryStress Psychologicalcirculatory and respiratory physiologyMedicalbiological engineeringcomputing
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