Search results for "Computer Science Application"

showing 10 items of 3998 documents

An On-Demand Energy Requesting Scheme for Wireless Energy Harvesting Powered IoT Networks

2018

Energy harvesting (EH) delivers a unique technique for replenishing batteries in Internet of Things (IoT) devices. Equipped with an energy harvesting accessory, EH-enabled sensor nodes/IoT devices ...

Scheme (programming language)Computer Networks and Communicationsbusiness.industryComputer science010401 analytical chemistry020206 networking & telecommunications02 engineering and technologyCommunications system01 natural sciences0104 chemical sciencesComputer Science ApplicationsHardware_GENERALHardware and ArchitectureOn demandSignal Processing0202 electrical engineering electronic engineering information engineeringWireless energy harvestingInternet of ThingsbusinessEnergy harvestingcomputerEnergy (signal processing)Information Systemscomputer.programming_languageComputer networkIEEE Internet of Things Journal
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Robust fault tolerant tracking controller design for vehicle dynamics: A descriptor approach

2015

Abstract In this paper, an active Fault Tolerant Tracking Controller (FTTC) scheme dedicated to vehicle dynamics system is proposed. To address the challenging problem, an uncertain dynamic model of the vehicle is firstly developed, by considering the lateral forces nonlinearities as a Takagi–Sugeno (TS) representation, the sideslip angle as unmeasurable premise variables and the road bank angle as an unknown input. Subsequently, the vehicle dynamic states with the sensor faults are jointly estimated by a descriptor observer on the basis of the roll rate and the steering angle measures. Then a fault tolerant tracking controller is synthesized and solutions are proposed in terms of Linear Ma…

Scheme (programming language)EngineeringObserver (quantum physics)Basis (linear algebra)business.industryMechanical EngineeringFault toleranceControl engineeringTracking (particle physics)Computer Science ApplicationsVehicle dynamicsControl and Systems EngineeringControl theoryElectrical and Electronic EngineeringRepresentation (mathematics)businesscomputercomputer.programming_languageMechatronics
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“Anti-Bayesian” flat and hierarchical clustering using symmetric quantiloids

2017

A myriad of works has been published for achieving data clustering based on the Bayesian paradigm, where the clustering sometimes resorts to Naive-Bayes decisions. Within the domain of clustering, the Bayesian principle corresponds to assigning the unlabelled samples to the cluster whose mean (or centroid) is the closest. Recently, Oommen and his co-authors have proposed a novel, counter-intuitive and pioneering PR scheme that is radically opposed to the Bayesian principle. The rational for this paradigm, referred to as the “Anti-Bayesian” (AB) paradigm, involves classification based on the non-central quantiles of the distributions. The first-reported work to achieve clustering using the A…

Scheme (programming language)Information Systems and ManagementTheoretical computer scienceComputer scienceBayesian principleBayesian probabilityVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410::Statistikk: 412Multivariate normal distribution0102 computer and information sciences02 engineering and technology01 natural sciencesDomain (mathematical analysis)ClusteringTheoretical Computer ScienceArtificial Intelligence0103 physical sciencesCluster (physics)0202 electrical engineering electronic engineering information engineering010306 general physicsCluster analysiscomputer.programming_languageCentroidComputer Science ApplicationsHierarchical clustering010201 computation theory & mathematicsControl and Systems EngineeringAnti-Bayesian classification020201 artificial intelligence & image processingcomputerSoftwareQuantiloidsQuantile
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Developing a Tool Point Control Scheme for a Hydraulic Crane Using Interactive Real-time Dynamic Simulation

2010

This paper describes the implementation of an interactive real-time dynamic simulation model of a hydraulic crane. The user input to the model is given continuously via joystick and output is presented continuously in a 3D animation. Using this simulation model, a tool point control scheme is developed for the specific crane, considering the saturation phenomena of the system and practical implementation. This paper describes the implementation of an interactive real-time dynamic simulation model of a hydraulic crane. The user input to the model is given continuously via joystick and output is presented continuously in a 3D animation. Using this simulation model, a tool point control scheme…

Scheme (programming language)VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Engineeringhydraulic craneInteractive real-time dynamic simulationbusiness.industryControl (management)VDP::Technology: 500::Mechanical engineering: 570Control engineeringComputerApplications_COMPUTERSINOTHERSYSTEMSlcsh:QA75.5-76.95Computer Science ApplicationsDynamic simulationHydraulic craneTool point controlIdentification (information)Control and Systems EngineeringModeling and SimulationPoint (geometry)lcsh:Electronic computers. Computer sciencebusinesscomputerSoftwareSimulationcomputer.programming_language
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Toward Self-Supervised Feature Learning for Online Diagnosis of Multiple Faults in Electric Powertrains

2021

This article proposes a novel online fault diagnosis scheme for industrial powertrains without using historical faulty or labeled training data. The proposed method combines a one-class support vector machine (SVM) based anomaly detection and supervised convolutional neural network (CNN) algorithms to online detect multiple faults and fault severities under variable speeds and loads. The one-class SVM algorithm is to derive a score for defining faults or health classes in the first stage, and the resulting health classes are used as the training data for the CNN-based classifier in the second stage. Within this framework, the self-supervised learning of the proposed CNN algorithm allows the…

Scheme (programming language)business.industryComputer science020208 electrical & electronic engineering02 engineering and technologyMachine learningcomputer.software_genreFault (power engineering)Convolutional neural networkComputer Science ApplicationsSupport vector machineStatistical classificationControl and Systems EngineeringClassifier (linguistics)0202 electrical engineering electronic engineering information engineeringAnomaly detectionArtificial intelligenceElectrical and Electronic EngineeringbusinesscomputerFeature learningInformation Systemscomputer.programming_languageIEEE Transactions on Industrial Informatics
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A Study on scale factor in distributed differential evolution.

2011

This paper proposes the employment of multiple scale factor values within distributed differential evolution structures. Four different scale factor schemes are proposed, tested, compared and analyzed. Two schemes simply employ multiple scale factor values and two also include an update logic during the evolution. The four schemes have been integrated for comparison within three recently proposed distributed differential evolution structures and tested on several various test problems. Numerical results show that, on average, the employment of multiple scale factors is beneficial since in most cases it leads to significant improvements in performance with respect to standard distributed alg…

Scheme (programming language)ta113distributed algorithmsMathematical optimizationInformation Systems and ManagementScale (ratio)Computer sciencedifferential evolutionEvolutionary algorithmcomputational intelligence optimizationevolutionary algorithmsstructured populationsScale factorComputer Science ApplicationsTheoretical Computer ScienceArtificial IntelligenceControl and Systems EngineeringSimple (abstract algebra)Distributed algorithmDifferential evolutionoptimization algorithmsscale factorcomputerSoftwarecomputer.programming_language
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Technical‐economic evaluation of the effectiveness of measures applied to the artificial lighting system of a school

2021

Ensuring optimum interior lighting is a topic of great importance, as this influences not only the well-being of users but also the optimal performance of visual tasks. Lighting can be natural, but if not sufficient, it can be compensated with artificial lighting. This study highlights a methodology for designing a new lighting system that takes into account both technical and economic aspects. The method was applied to an existing school located in southern Italy, in which the electricity consumption is related to the current lighting system. The school is chosen as being representative of the construction type and layout of many local schools. In addition, the coexistence of several visua…

SchoolArchitectural engineeringTechnologyComputer scienceQH301-705.5020209 energyQC1-999LENI02 engineering and technology010501 environmental sciences01 natural sciencesDimmingIlluminancelaw.inventionlaw0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceDaylightBiology (General)InstrumentationQD1-999Lighting0105 earth and related environmental sciencesFluid Flow and Transfer ProcessesConsumption (economics)Artificial lightbusiness.industryProcess Chemistry and TechnologyTPhysicsLEDGeneral EngineeringEnergy consumptionEngineering (General). Civil engineering (General)ComfortComputer Science ApplicationsLED lampDynamic simulationEnergy consumptionChemistryEconomic evaluationDaylightElectricityTA1-2040businessDynamic simulation
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Hidden connections: Network effects on editorial decisions in four computer science journals

2018

Abstract This paper aims to examine the influence of authors’ reputation on editorial bias in scholarly journals. By looking at eight years of editorial decisions in four computer science journals, including 7179 observations on 2913 submissions, we reconstructed author/referee-submission networks. For each submission, we looked at reviewer scores and estimated the reputation of submission authors by means of their network degree. By training a Bayesian network, we estimated the potential effect of scientist reputation on editorial decisions. Results showed that more reputed authors were less likely to be rejected by editors when they submitted papers receiving negative reviews. Although th…

Scope (project management)business.industrymedia_common.quotation_subject05 social sciencesPotential effectComputer Science Applications1707 Computer Vision and Pattern RecognitionNetwork effectsLibrary and Information SciencesPublic relations050905 science studiesPeer reviewComputer Science ApplicationsEditorial biasBayesian networkAuthor reputationIndividual dataAnnan samhällsvetenskapAuthor reputation; Bayesian network; Editorial bias; Network effects; Peer review; Computer Science Applications1707 Computer Vision and Pattern Recognition; Library and Information Sciences0509 other social sciences050904 information & library sciencesbusinessOther Social SciencesReputationmedia_commonJournal of Informetrics
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User Evaluation of the Smartphone Screen Reader VoiceOver with Visually Disabled Participants

2018

Touchscreen assistive technology is designed to support speech interaction between visually disabled people and mobile devices, allowing hand gestures to interact with a touch user interface. In a global perspective, the World Health Organisation estimates that around 285 million people are visually disabled with 2/3 of them over 50 years old. This paper presents the user evaluation of VoiceOver, a built-in screen reader in Apple Inc. products, with a detailed analysis of the gesture interaction, familiarity and training by visually disabled users and the system response. Six participants with prescribed visual disability took part in the tests in a usability laboratory under controlled con…

Screen readerArticle SubjectComputer Networks and Communicationsbusiness.industryComputer scienceTouch user interface05 social sciencesPerspective (graphical)UsabilityVisual disabilityTK5101-6720Computer Science Applicationslaw.invention03 medical and health sciences0302 clinical medicineTouchscreenHuman–computer interactionlawTelecommunication030221 ophthalmology & optometry0501 psychology and cognitive sciencesbusinessMobile device050107 human factorsGesture
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A survey on tubulin and arginine methyltransferase families sheds light on p. lividus embryo as model system for antiproliferative drug development

2019

Tubulins and microtubules (MTs) represent targets for taxane-based chemotherapy. To date, several lines of evidence suggest that effectiveness of compounds binding tubulin often relies on different post-translational modifications on tubulins. Among them, methylation was recently associated to drug resistance mechanisms impairing taxanes binding. The sea urchin is recognized as a research model in several fields including fertilization, embryo development and toxicology. To date, some &alpha

Sea urchinPRMTSettore BIO/11 - Biologia MolecolareDrug actionmacromolecular substancesBiologyCatalysisCatalysilcsh:ChemistryInorganic ChemistryMicrotubuleArginine methylationTubulinbiology.animalGene familyPhysical and Theoretical ChemistrySea urchinlcsh:QH301-705.5Molecular BiologySpectroscopyEchinodermechinodermsOrganic ChemistryEmbryoComputer Science Applications1707 Computer Vision and Pattern RecognitionGeneral MedicineMethylationComputer Science ApplicationsCell biologyTubulinDrug developmentlcsh:Biology (General)lcsh:QD1-999embryonic structuresbiology.proteinPost-translational modification
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