Search results for " Parallel"

showing 10 items of 224 documents

"Table 22" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

5-jet rate for the Durham Algorithm.

E+ E- --> 5JET133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 13" of "Studies of quantum chromodynamics with the ALEPH detector"

1997

Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.

E+ E- --> HADRONSE+ E- --> Z0Integrated Cross Section91.2E+ E- --> 2JET XJet ProductionCross SectionSIGInclusiveDijet ProductionE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentR measurementComputer Science::Distributed Parallel and Cluster Computing
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"Table 15" of "Studies of quantum chromodynamics with the ALEPH detector"

1997

Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.

E+ E- --> HADRONSE+ E- --> Z0Integrated Cross Section91.2E+ E- --> 4JET XJet ProductionCross SectionSIGInclusiveE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentR measurementComputer Science::Distributed Parallel and Cluster Computing
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"Table 16" of "Studies of quantum chromodynamics with the ALEPH detector"

1997

Measure n-jet rates using the Durham cluster algorithm as a function of thejet-resolution parameter YCUT.

E+ E- --> HADRONSE+ E- --> Z0Integrated Cross Section91.2Jet ProductionCross SectionSIGInclusiveE+ E- --> 5JET XE+ E- ScatteringExclusiveHigh Energy Physics::ExperimentR measurementComputer Science::Distributed Parallel and Cluster Computing
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"Table 4" of "Inclusive production of neutral vector mesons in hadronic Z decays"

1995

Average multiplicity per hadronic event. Extrapolation to the full X range.

E+ E- --> OMEGA XInclusiveHigh Energy Physics::LatticeE+ E- ScatteringHigh Energy Physics::ExperimentComputer Science::Symbolic Computation91.2Nuclear ExperimentComputer Science::Distributed Parallel and Cluster ComputingMULT
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A state-space approach to mathematical modeling and parameters identification of vehicle frontal crash

2014

In this paper a state-space estimation procedure that relies on the time-domain analysis of input and output signals is used for mathematical modeling of vehicle frontal crash. The model is a double-spring–mass–damper system, whereby the front mass and real mass represent the chassis and the passenger compartment, respectively. It is observed that the dynamic crash of the model is closer to the dynamic crash from experimental when the mass of the chassis is greater than the mass of the passenger compartment. The dynamic crash depends on pole placement and the estimated parameters. It is noted that when the poles of the model are closer to zero, the dynamic crash of the model is far from the…

EngineeringControl and OptimizationChassisState-space representationbusiness.industryStiffnessCrashIdentification (information)Nonlinear Sciences::Adaptation and Self-Organizing SystemsArtificial IntelligenceControl and Systems EngineeringControl theoryFull state feedbackmedicineState spacemedicine.symptombusinessComputer Science::Distributed Parallel and Cluster ComputingSimulationSystems Science & Control Engineering
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Experimental validation of a general model for three phase inverters operating in healthy and faulty modes

2012

The paper presents the experimental verification of a general mathematical model of Voltage Source Inverters (VSI) able to simulate fault conditions and which is also useful for the simulation of fault-tolerant systems for different applications. In general, in the past, the problem of faulty inverters modeling has been addressed specifically by considering faults on the different phases as separate cases. Furthermore, traditional models include only the faulty mode and not the healthy mode, so resulting then not able to predict transient phenomena. The model hereafter presented overcomes this drawback. It was formulated by introducing the concept of “healthy leg binary variables”. Such var…

EngineeringCorrectnessCircuit faults Fault tolerance Fault tolerant systems Integrated circuit modeling Inverters Mathematical model Vectorsbusiness.industryFault toleranceControl engineeringHardware_PERFORMANCEANDRELIABILITYSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciFault (power engineering)Fault indicatorStuck-at faultComputer Science::Hardware ArchitectureThree-phaseTransient (oscillation)Voltage sourcebusinessComputer Science::Operating SystemsComputer Science::Distributed Parallel and Cluster ComputingInternational Symposium on Power Electronics Power Electronics, Electrical Drives, Automation and Motion
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Scars Collaborative Telediagnosis Platform Using Adaptive Image Flow

2013

International audience; Telemedicine has been developed to allow practitioners to remotely connect with patients and with other medical staff.We propose a new system (hardware and software), named DICODERM (COllaborative DIagnosis of DERMatosis), which makes it possible to monitor the evolution of scars after the excision of a tumorous dermatosis (like melanoma). The hardware part of this system is composed of a new optical innovative probe with which two types of images can be acquired simultaneously: anatomic with a white light image and functional with a fluorescence image (using autofluorescence from the protoporphyrin within the cancer cell). The software part is composed of two compon…

EngineeringMedical staff[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingTheoretical Computer ScienceImage stitchingSoftware[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC][INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingcollaborative medical telediagnosisArtificial IntelligenceComponent (UML)stitching0202 electrical engineering electronic engineering information engineeringWhite light[INFO.INFO-IM]Computer Science [cs]/Medical Imaging[INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Computer visionLayer (object-oriented design)Adaptation (computer science)[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingscar monitoringImage flow[ INFO.INFO-IM ] Computer Science [cs]/Medical Imagingbusiness.industry020206 networking & telecommunications3. Good healthComputer Science ApplicationsAdaptabilityComputational Theory and Mathematics020201 artificial intelligence & image processingArtificial intelligencetelemedicine[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]business[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftware
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Development and validation of a nonlinear dynamic impact model for a notch impact

2015

Finite element simulations are being more and more applied when studying the crash-worthiness of vehicles during impact. This paper deals with setting up such a simulation and discusses several ways to simplify and verify a simulated crash. For this purpose, a notch impact-testing machine will be released from a certain angle and crash into a model constructed with three different wall thicknesses. The plastic and elastic deformation is measured in the front of the model and is then used for validation of the simulation. In the end, the simulation was found to be in good agreement with the real crash data.

Engineeringbusiness.industryMechanical EngineeringMechanical engineeringCrashDissipationIndustrial and Manufacturing EngineeringFinite element methodComputer Science ApplicationsDynamic simulationNonlinear systemControl and Systems EngineeringImpact modelDevelopment (differential geometry)Crash databusinessComputer Science::Distributed Parallel and Cluster ComputingSoftwareThe International Journal of Advanced Manufacturing Technology
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Genome-wide promoter methylation analysis in neuroblastoma identifies prognostic methylation biomarkers.

2012

Background: Accurate outcome prediction in neuroblastoma, which is necessary to enable the optimal choice of risk-related therapy, remains a challenge. To improve neuroblastoma patient stratification, this study aimed to identify prognostic tumor DNA methylation biomarkers.Results: To identify genes silenced by promoter methylation, we first applied two independent genome-wide methylation screening methodologies to eight neuroblastoma cell lines. Specifically, we used re-expression profiling upon 5-aza-2'-deoxycytidine (DAC) treatment and massively parallel sequencing after capturing with a methyl-CpG-binding domain (MBD-seq). Putative methylation markers were selected from DAC-upregulated …

EpigenomicsMYCN Single CopyMedizinPrimary Neuroblastoma TumorBioinformaticsNeuroblastoma0302 clinical medicineRisk FactorsMYCN StatusDatabases GeneticPromoter MethylationGTP-Binding Protein alpha Subunits GsHazard Ratio PatientPromoter Regions GeneticEpigenomicsRegulation of gene expression0303 health sciencesMassive parallel sequencingHigh-Throughput Nucleotide SequencingMethylation3. Good healthGene Expression Regulation NeoplasticMedizinische Fakultät » Universitätsklinikum Essen » Zentrum für Kinder- und Jugendmedizin030220 oncology & carcinogenesisDNA methylationAzacitidineBiologieBiologyDecitabine03 medical and health sciencesneuroblastomaCell Line TumorNeuroblastomaBiomarkers TumorChromograninsmedicineHumansddc:61ddc:610Epigenetics030304 developmental biologyepigeneticsGenome HumanResearchBiology and Life SciencesbiomarkersSequence Analysis DNADNA MethylationHCT116 Cellsmedicine.diseaseSurvival AnalysisCancer researchHuman genomeDNA-methylation
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