Search results for "Computer Networks"

showing 10 items of 860 documents

Using Discharge Abstracts to Evaluate a Regional Perinatal Network: Assessment of the Linkage Procedure of Anonymous Data

2008

To assess the Burgundy perinatal network (18 obstetrical units; 18 500 births per year), discharge abstracts and additional data were collected for all mothers and newborns. In accordance with French law, data were rendered anonymous before statistical analysis, and were linked to patients using a specific procedure. This procedure allowed data concerning each mother to be linked to those for her newborn(s). This study showed that all mothers and newborns were included in the regional database; the data for all mothers were linked to those for their infant(s) in all cases. Additional data (gestational age) were obtained for 99.9% of newborns.

Linkage (software)medicine.medical_specialtyPediatricsArticle SubjectComputer Networks and Communicationsbusiness.industrylcsh:RMedicine (miscellaneous)Gestational agelcsh:MedicineHealth InformaticsHealth Information ManagementFamily medicinemedicinePerinatal networkStatistical analysisbusinessResearch ArticleInternational Journal of Telemedicine and Applications
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Performance evaluation of different techniques to estimate subjective quality in live video streaming applications over LTE-Advance mobile networks

2018

Abstract Current mobile service providers are offering Gigabit Internet access over LTE-Advanced networks. Traditional services, such as live video streaming, over wired networks are feasible on these networks. However different aspects should be taken into account due to the fast changing network conditions as well as the constrained resources of the mobile phones, in order to provide a good subjective video quality in terms of Mean Opinion Score (MOS). Our goal is to estimate and predict this subjective metric without information or reference from the original video, known as Non Reference approach. This approach is important for the Service Provider from a practical point of view, becaus…

Lossless compressionbusiness.product_categoryComputer Networks and CommunicationsComputer scienceMean opinion scoremedia_common.quotation_subject020206 networking & telecommunications02 engineering and technologyService providerVideo qualitycomputer.software_genreComputer Science ApplicationsHardware and ArchitectureMobile phoneBit rate0202 electrical engineering electronic engineering information engineeringInternet access020201 artificial intelligence & image processingQuality (business)Data miningbusinesscomputerSubjective video qualityMobile servicemedia_commonJournal of Network and Computer Applications
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Robust L1 fixed-order filtering for switched LPV systems with parameter-dependent delays

2015

Abstract This paper is concerned with the L1 fixed-order filtering problem for a class of switched linear parameter-varying (LPV) systems in which the system matrices and the time delays are dependent on the real-time measured parameters. The authors׳ attention is concentrated on designing the fixed-order filter that guarantees the filtering error system to be exponentially stable and to satisfy a prescribed L1 disturbance attenuation level with respect to all amplitude-bounded disturbances. Based on the switching logic with the minimum average dwell time (ADT), the delay-dependent L1 performance criterion for the switched LPV systems is first established. As there exists coupling between a…

Lyapunov functionComputer Networks and CommunicationsApplied MathematicsLinear matrix inequalityBasis functionFilter (signal processing)symbols.namesakeFilter designMatrix (mathematics)Exponential stabilityControl and Systems EngineeringControl theorySignal ProcessingsymbolsFiltering problemMathematicsJournal of the Franklin Institute
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On stability and stabilization of singular uncertain Takagi-Sugeno fuzzy systems

2014

This paper deals with the problem of robust stability and robust stabilization for a class of continuous-time singular Takagi-Sugeno fuzzy systems. Sufficient conditions on stability and stabilization are proposed in terms of strict LMI (Linear Matrix Inequality) for uncertain T-S fuzzy models. In order to reduce the conservatism of results developed using quadratic method, an approach based on non-quadratic Lyapunov functions and S-procedure is proposed. Illustrative examples are given to show the effectiveness of the given results Refereed/Peer-reviewed

Lyapunov functionComputer Networks and CommunicationsApplied MathematicsMathematicsofComputing_NUMERICALANALYSISStability (learning theory)Linear matrix inequalityrobust stabilityFuzzy control systemControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsFuzzy logicstabilizationsymbols.namesakeQuadratic equationTakagi sugenoControl and Systems EngineeringControl theoryComputer Science::Systems and ControlSignal ProcessingsymbolsTakagi-Sugeno fuzzy systemsMathematics
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Observer-based H∞ control on stochastic nonlinear systems with time-delay and actuator nonlinearity

2013

Abstract In this paper, an observer-based H ∞ controller is designed for a class of extended Markov jump systems subject to time-delay and actuator saturation nonlinearity. Gradient linearization procedure is employed to describe such nonlinear systems by several linear Markov jump systems. Next, a mode-dependent Lyapunov function is constructed for these linear systems, and a sufficient condition is derived to make them stochastically stable, and then, a continuous gain-scheduled approach is applied to design a continuous nonlinear observer-based controller on the entire extended nonlinear jump system. A simulation example is given to illustrate the effectiveness of developed techniques.

Lyapunov functionDiscrete systemObserver (quantum physics)Computer Networks and CommunicationsApplied MathematicsLinear systemtime-delay systemH infinite controlsymbols.namesakeNonlinear systemControl and Systems EngineeringLinearizationControl theorySignal ProcessingsymbolsJumpsaturating controlActuatordisturbance-observer-based controlMathematics
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Adaptive output feedback neural network control of uncertain non-affine systems with unknown control direction

2014

Abstract This paper deals with the problem of adaptive output feedback neural network controller design for a SISO non-affine nonlinear system. Since in practice all system states are not available in output measurement, an observer is designed to estimate these states. In comparison with the existing approaches, the current method does not require any information about the sign of control gain. In order to handle the unknown sign of the control direction, the Nussbaum-type function is utilized. In order to approximate the unknown nonlinear function, neural network is firstly exploited, and then to compensate the approximation error and external disturbance a robustifying term is employed. …

Lyapunov stabilityAdaptive controlObserver (quantum physics)Artificial neural networkComputer Networks and CommunicationsApplied MathematicsNeural network control; Observer-based control; Uncertain non-affine systems; Unknown gain direction; Control and Systems Engineering; Computer Networks and Communications; Applied Mathematics; Signal ProcessingUnknown gain directionControl engineeringNonlinear controlNonlinear systemNeural network controlExponential stabilityControl and Systems EngineeringControl theorySignal ProcessingObserver-based controlUncertain non-affine systemsMathematicsJournal of the Franklin Institute
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Semantic Word Error Rate for Sentence Similarity

2016

Sentence similarity measures have applications in several tasks, including: Machine Translation, Paraphrase Iden- tification, Speech Recognition, Question-answering and Text Summarization. However, measures designed for these tasks are aimed at assessing equivalence rather than resemblance, partly departing from human cognition of similarity. While this is reasonable for these activities, it hinders the applicability of sentence similarity measures to other tasks. We therefore propose a new sentence similarity measure specifically designed for resemblance evaluation, in order to cover these fields better. Experimental results are discussed.

Machine translationComputer scienceSpeech recognitionWord error rate02 engineering and technologycomputer.software_genreParaphrase030507 speech-language pathology & audiology03 medical and health sciencesSemantic similarityArtificial IntelligenceLSAWord Error Rate0202 electrical engineering electronic engineering information engineeringsentence resemblanceEquivalence (formal languages)Latent Semantic AnalysiSemantic Word Error Ratesentence similarity measureSWERbusiness.industryLatent semantic analysisSentence SimilaritySemantic ComputingCognitionAutomatic summarizationComputer Networks and Communicationword relatedne020201 artificial intelligence & image processingArtificial intelligence0305 other medical sciencebusinesscomputerNatural language processingWERInformation Systems2016 IEEE Tenth International Conference on Semantic Computing (ICSC)
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Monolingual and cross-lingual intent detection without training data in target languages

2021

Due to recent DNN advancements, many NLP problems can be effectively solved using transformer-based models and supervised data. Unfortunately, such data is not available in some languages. This research is based on assumptions that (1) training data can be obtained by the machine translating it from another language

Machine translationTK7800-8360Computer Networks and CommunicationsComputer sciencePT languages0211 other engineering and technologies02 engineering and technologycomputer.software_genre[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]DEGermanFRLTLV0202 electrical engineering electronic engineering information engineeringEN DE FR LT LV PT languagesmonolingual and cross-lingual experimentsElectrical and Electronic Engineering021110 strategic defence & security studiesbusiness.industryCosine similarityLatvian020206 networking & telecommunicationsLithuanianEager learningword and sentence transformerslanguage.human_languageLazy learningHardware and ArchitectureControl and Systems EngineeringSignal ProcessinglanguageENArtificial intelligenceElectronicsbusinesscomputerSentenceNatural language processingBERT
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Prevalence and determinants of online-sex use in the German population.

2017

Introduction The unlimited access to sexual features in the World Wide Web has raised concerns about excessive and problematic online-sex use. However, little is known about antecedents of internet-sex use of different intensity. Based on a representative German sample of 2,522 participants between the ages of 14 and 97 years, the aims of the present study were (1) to determine the prevalence rates of online-sex users with the short version (ISSTGSV) of the Internet Sex Screening Test and (2) to associate online-sex use with anxious vs. avoidant partner attachment patterns and “Big Five” personality traits as potential antecedents. Results The ISST is a brief, one-dimensional and reliable m…

Male050103 clinical psychologyGerman PeopleSocial Scienceslcsh:Medicine050109 social psychologyAnxietyGermanySurveys and QuestionnairesPrevalenceComputer addictionPsychologyEthnicitiesComputer NetworksBig Five personality traitslcsh:Sciencemedia_commonAged 80 and overMultidisciplinaryDepression05 social sciencesMiddle AgedFemalemedicine.symptomPsychologyResearch ArticlePersonalityClinical psychologyAdultAgreeablenessComputer and Information Sciencesmedicine.medical_specialtyBehavioral addictionAdolescentmedia_common.quotation_subjectSelf-conceptAddictionComputer AddictionYoung AdultmedicineHumansPersonality0501 psychology and cognitive sciencesPsychiatryDemographyAgedPersonality TraitsInternetAddictionlcsh:RBiology and Life SciencesConscientiousnessSelf ConceptBehavior AddictiveBehavioral AddictionPeople and PlacesMultivariate AnalysisPopulation Groupingslcsh:QPLoS ONE
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A brief online transdiagnostic measure: Psychometric properties of the Overall Anxiety Severity and Impairment Scale (OASIS) among Spanish patients w…

2018

The Overall Anxiety Severity and Impairment Scale (OASIS) is a self-report questionnaire designed to evaluate the severity and functional impairment associated with anxiety. Given its transdiagnostic nature, it can be used indistinctly across anxiety and depressive disorders. In this study, the psychometric properties of the online version of the OASIS were evaluated in a Spanish clinical sample with emotional disorders. Patients (n = 583) with anxiety (n = 250) and depression (n = 333) with a mean age of 37.21 (SD = 12.22), underwent a diagnostic interview and questionnaires assessing anxiety, depression, positive and negative affect, and quality of life. Factorial structure, internal cons…

Male050103 clinical psychologyPsychometricsEmotionsSocial Scienceslcsh:MedicineTest validityAnxietySeverity of Illness Index0302 clinical medicineQuality of lifeMedicine and Health SciencesCutoffPsychologyDiagnosis Computer-AssistedComputer Networkslcsh:ScienceMultidisciplinaryDepression05 social sciencesMiddle AgedAnxiety DisordersConfirmatory factor analysisAnxietyFemalemedicine.symptomPsychologyClinical psychologyResearch ArticleAdultComputer and Information SciencesAdolescentPsychometricsNeuropsychiatric DisordersNeurosesSensitivity and Specificity03 medical and health sciencesYoung AdultRating scaleDiagnostic MedicineMental Health and PsychiatrymedicineHumans0501 psychology and cognitive sciencesAgedPsychiatric Status Rating ScalesDepressive DisorderInternetMood Disorderslcsh:RDiscriminant validityBiology and Life Sciences030227 psychiatryHealth CareSpainQuality of Lifelcsh:QFactor Analysis StatisticalPLoS ONE
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