Search results for "computer.software_genre"

showing 10 items of 3858 documents

Multiple-attribute decision support system based on fuzzy logic for performance assessment

2005

Abstract This paper deals with the problem of assessing the performance of a set of production units, simultaneously considering different kinds of information, yielded by a Data Envelopment Analysis, a qualitative data analysis and an expert assessment. The tool for integrating heterogeneous data is a model that applies fuzzy logic to decision support systems. The results obtained are a holistic performance assessment of each unit of the set and a ranking order of the units.

Multi-attribute decision aiding systemsDecision support systemInformation Systems and ManagementGeneral Computer ScienceComputer sciencemedicine.medical_treatmentDecision treeDecision support systemsManagement Science and Operations Researchcomputer.software_genreFuzzy logicIndustrial and Manufacturing EngineeringDEAmedicineData envelopment analysisExpert evaluationDecision engineeringEvidential reasoning approachIntelligent decision support systemDEA; Decision support systems; Expert evaluation; Fuzzy logic; Multi-attribute decision aiding systemsFuzzy logicModeling and SimulationData miningcomputerDecision analysis cycleDecision analysisEuropean Journal of Operational Research
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Concept and Development of Modular VLIW Processor Based on FPGA

2010

Modern FPGA chips, with their larger memory capacity and reconfigurability potential, are opening new frontiers in rapid prototyping of embedded systems. With the advent of high density FPGAs it is now possible to implement a high performance VLIW processor core in an FPGA. Architecture based on Very Long Instruction Word (VLIW) processors are an optimal choice in the attempt to obtain high performance level in embedded system. In VLIW architecture, the effectiveness of these processors depends on the ability of compilers to provide sufficient instruction level parallelism(ILP) in program code. Using advanced compiler technology could take these functions, This paper describes research resu…

Multi-core processorAssembly languagebusiness.industryComputer scienceHardware description languageModular designcomputer.software_genreComputer architectureVery long instruction wordVHDLCompilerInstruction-level parallelismbusinesscomputercomputer.programming_language2010 Second International Conference on Computer and Network Technology
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Enhancing the Sniper Simulator with Thermal Measurement

2014

This paper presents the enhancement of the Sniper multicore / manycore simulator with thermal measurement possibilities using the HotSpot simulator. We present a plugin that interacts with Sniper to retrieve simulation data (integration areas and power consumptions) and calls HotSpot to compute the corresponding thermal results. The plugin also builds a two dimensional floorplan for the simulated microarchitecture. Furthermore we plan to integrate the simulation methodology presented here into an automatic design space exploration process using the multi-objective optimization tool called FADSE. Keywords—multicore; simulator; power consumption; thermal; HotSpot; Sniper

Multi-core processorEngineeringComputer architecture simulatorbusiness.industryDesign space explorationReal-time computingHardware_PERFORMANCEANDRELIABILITYcomputer.software_genreFloorplanMicroarchitecturePower consumptionThermalHardware_INTEGRATEDCIRCUITSPlug-inbusinesscomputerSimulation
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Multithreaded Translation of Ptolemy II Designs on Multicore Platforms

2008

Ptolemy II is an open source environment for system design and test based on component data flow. This paradigm tries to make parallel systems more deterministic and understandable. In this work we propose a technique to translate designs developed with Ptolemy II, into multithreaded Java implementations on multicore platforms. We have chosen Java mainly because Ptolemy II is implemented in Java and then we get direct code reuse. The counterpart is a certain amount of overhead that we expect to be less relevant as Java runtime environment will evolve. The main goals are to produce efficient parallel simulators and software devices with competitive performance level. We show by means of an e…

Multi-core processorJavabusiness.industryComputer scienceCode reusecomputer.software_genreData flow diagramEmbedded systemSynchronization (computer science)Operating systemOverhead (computing)Systems designSoftware systembusinesscomputercomputer.programming_language2008 International Conference on Complex, Intelligent and Software Intensive Systems
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Experiences from a wearable-mobile acquisition system for ambulatory assessment of diet and activity

2017

Public health trends are currently monitored and diagnosed based on large studies that often rely on pen-and-paper data methods that tend to require a large collection campaign. With the pervasiveness of smart-phones and -watches throughout the general population, we argue in this paper that such devices and their built-in sensors can be used to capture such data more accurately with less of an effort. We present a system that targets a pan-European and harmonised architecture, using smartphones and wrist-worn activity loggers to enable the collection of data to estimate sedentary behavior and physical activity, plus the consumption of sugar-sweetened beverages. We report on a unified pilot…

Multi-modal data collectionEngineeringNutrition and DiseasePopulationPrivacy laws of the United StatesData securityWearable computer050109 social psychology02 engineering and technologycomputer.software_genreActivity recognitionBeverage consumption logging020204 information systemsVoeding en Ziekte0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesAccelerometer dataeducationSensory Science and Eating BehaviourVLAGConsumption (economics)education.field_of_studyMultimediabusiness.industryBarcode scanning05 social sciencesLocale (computer hardware)PresentationData scienceSensoriek en eetgedragActivity recognitionbusinesscomputer
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A comprehensive survey of multi-view video summarization

2021

[EN] There has been an exponential growth in the amount of visual data on a daily basis acquired from single or multi-view surveillance camera networks. This massive amount of data requires efficient mechanisms such as video summarization to ensure that only significant data are reported and the redundancy is reduced. Multi-view video summarization (MVS) is a less redundant and more concise way of providing information from the video content of all the cameras in the form of either keyframes or video segments. This paper presents an overview of the existing strategies proposed for MVS, including their advantages and drawbacks. Our survey covers the genericsteps in MVS, such as the pre-proce…

Multi-sensor managementComputer scienceFeature extraction02 engineering and technologycomputer.software_genre01 natural sciencesAutomatic summarizationFeatures fusionBig dataRedundancy (information theory)Multi-camera networksArtificial IntelligenceMulti-view video summarization0103 physical sciencesSignal ProcessingMachine learning0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionData mining010306 general physicscomputerVideo summarization surveySoftware
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Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

2008

[EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently acquired in different centers. The multicenter eTUMOUR project (2004-2009), which builds upon previous expertise from the INTERPRET project (2000-2002) has allowed such an evaluation to take place. A total of 253 pairwise classifiers for glioblastoma, meningioma, metastasis, and low-grade glial diagnosis were inferred based on 211 SV short TE INTERPRET MR spectra obtained at 1.5 T (PRESS or STEAM, 20-32 ms) and automatically pre-processed. Afterwards, the classifiers …

Multicenter evaluation studyDecision support systemComputer scienceBiophysicsBrain tumorDecision support systemsMachine learningcomputer.software_genreSensitivity and SpecificityBrain tumorsHealth informaticsAnalytical ChemistryPattern Recognition AutomatedArtificial IntelligenceMagnetic resonance spectroscopyBiomarkers TumorCIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIALmedicineHumansRadiology Nuclear Medicine and imagingDiagnosis Computer-AssistedRadiological and Ultrasound TechnologyBrain Neoplasmsbusiness.industryReproducibility of ResultsPattern classificationmedicine.diseaseR1EuropeRadiology Nuclear Medicine and imagingFISICA APLICADAArtificial intelligencebusinesscomputerAlgorithmsResearch ArticleMagma
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Standardizing the analysis of conditioned fear in rodents: a multidimensional software approach

2013

Data comparability between different laboratories strongly depends on the individually applied analysis method. This factor is often a critical source of variation in rodent phenotyping and has never been systematically investigated in Pavlovian fear conditioning paradigms. In rodents, fear is typically quantified in terms of freezing duration via manual observation or automated systems. While manual analysis includes biases such as tiredness or inter-personal scoring variability, computer-assisted systems are unable to distinguish between freezing and immobility. Consequently, the novel software called MOVE follows a semi-automatized approach that prefilters video sequences of interest for…

Multidimensional analysisStandardizationComputer sciencebusiness.industryComparabilityContext (language use)Variation (game tree)Keystroke loggingMachine learningcomputer.software_genreBehavioral NeuroscienceSoftwareNeurologyGeneticsArtificial intelligenceFear conditioningbusinesscomputerGenes, Brain and Behavior
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Dimension enrichment with factual data during the design of multidimensional models: application to bird biodiversity

2015

20 pages; International audience; Data warehouses (DW) and OLAP systems are technologies allowing the on-line analysis of huge volume of data according to decision-makers’ needs. Designing DW involves taking into account functional requirements and data sources (mixed design methodology) [1]. But, for complex applications, existing automatic design methodologies seem inefficient. In some cases, decision-makers need querying, as a dimension, data which have been defined as facts by actual automatic mixed approachs. Therefore, in this paper, we offer a new mixed refinement methodology relevant to constellation multidimensional schema. The proposed methodolgy allows to decision-makers to enric…

Multidimensional design[SDE] Environmental SciencesComputer science0102 computer and information sciences02 engineering and technologycomputer.software_genre01 natural sciencesData warehouseSchema (psychology)0202 electrical engineering electronic engineering information engineeringDesign methodsData miningConstellation[ SDE.BE ] Environmental Sciences/Biodiversity and Ecology[STAT.AP]Statistics [stat]/Applications [stat.AP]OLAPOnline analytical processing[ STAT.AP ] Statistics [stat]/Applications [stat.AP]Functional requirementData warehouse010201 computation theory & mathematics[SDE]Environmental Sciences020201 artificial intelligence & image processingData miningMultidimensional design[SDE.BE]Environmental Sciences/Biodiversity and Ecologycomputer
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Elementary transformation analysis for Array-OL

2009

Array-OL is a high-level specification language dedicated to the definition of multidimentional intensive signal processing applications. It allows to specify both the task parallelism and the data parallelism of these applications on focusing on their complex multidimensional data access patterns. Several tools exist for implementing an Array-OL specification as a data parallel program. While Array-OL can be used directly, it is often convenient to be able to deduce part of the specification from a sequential version of the application. This paper proposes such an analysis and examines its feasibility and its limits.

Multidimensional signal processingSignal processingProgram analysisTheoretical computer scienceParallel processing (DSP implementation)Data parallelismProgramming languageComputer scienceTask parallelismSpecification languageElementary transformationcomputer.software_genrecomputer2009 IEEE/ACS International Conference on Computer Systems and Applications
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