Search results for "design [semiconductor detector]"

showing 10 items of 613 documents

An Expert System for the Design of Agents

2007

The growing interest for the design and development of multi-agent systems has brought to the creation of a specific research area called Agent-Oriented Software Engineering (AOSE), specifically conceived for the development of complex systems. The development of such systems needs the support of appropriate tools that could help the designer in producing the design artefacts. We developed a tool called Metameth that may be used to define a new (agent-oriented) design process as well as to apply it. In this paper, we describe only a slice of this complex tool, specifically addressing the interaction with human actors (the designers). This subsystem is conceived as a collaborative multi-agen…

Software engineering process definitionInformation Systems and ManagementKnowledge managementbusiness.industryComputer scienceMulti-agent systemProcess designInformation Systemcomputer.software_genreExpert systemDesign briefMulti-agent systemDesign educationDesign methodologyInformation systemDesign processSoftware engineeringbusinessComputer-aided software engineeringAgent supported cooperative workcomputerExpert system
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Designed for unanticipated use

2003

Common artefacts have been identified as fundamental characteristics for framing activities in workplaces. Mike Robinson's article 'Design for unanticipated use...' conceptualised and defined the dimensions of common artefacts as consisting of predictability, peripheral awareness, implicit communication, double level language and overview. These dimensions have often been used in explaining unexpected uses of different applications and systems. In this paper, experiences from common artefacts as CSCW application design principles, indicating that unanticipated uses are expected and further supported, are discussed. Two distinct cases, a physical room and a software application, are presente…

SoftwareComputer sciencebusiness.industryHuman–computer interactionImplicit communicationInformation system designRealisationComputer-supported cooperative workDesign elements and principlesPredictabilitybusinessProceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
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Design Procedures for Soil-Lime Stabilization for Road and Railway Embankments. Part 1-Review of Design Methods

2012

AbstractWhen selecting the appropriate materials for constructing road infrastructures, an important way for minimizing both the economical and environmental impact is to make use of lime for treating soils that are not suitable for road or railways construction.Advances in lime stabilization technique allowed the successful use of this technique also for improving the bearing capacity of the subgrade, with noticeable savings on both aggregate and disposal charges.In this paper a review of internationally adopted design methods for soil-lime mixture is presented, in order to compare testing methods and requirements of the adopted criteria, as discussed in Part 2.

Soil stabilizationEngineeringAggregate (composite)business.industryReuse of clay soilsLimeSubgradeengineering.materialMechanical performancesCivil engineeringmechanical performancereuse of clay soils.chemistry.chemical_compoundchemistrySoil stabilizationGeneral Materials ScienceEnvironmental impact assessmentBearing capacityDesign methodsbusinessCalcium oxideLimeProcedia - Social and Behavioral Sciences
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A statistical design of experiments for optimizing the MALDI-TOF-MS sample preparation of polymers. An application in the assessment of the thermo-me…

2011

[EN] The sample preparation procedure for MALDI-TOF MS of polymers is addressed in this study by the application of a statistical Design of Experiments (DoE). Industrial poly (ethylene terephthalate) (PET) was chosen as model polymer. Different experimental settings (levels) for matrixes, analyte/matrix proportions and concentrations of cationization agent were considered. The quality parameters used for the analysis were signal-to-noise ratio and resolution. A closer inspection of the statistical results provided the study not only with the best combination of factors for the MALDI sample preparation, but also with a better understanding of the influence of the different factors, individua…

Solucions polimèriquesEthylenePolymersAnalytical chemistryDegradation kineticsBiochemistryThermo-mechanical degradationSample preparation procedureAnalytical ChemistryMatrix (chemical analysis)chemistry.chemical_compoundDegradationGlycolsMatrix assisted laser desorption ionization time of flight mass spectrometryPolyethylene terephthalateMechanismsCationizationSample preparationRecyclingMechanical recyclingSpectroscopyPriority journalchemistry.chemical_classificationDithranolSignal to noise ratioPolyethylene terephthalateHydrolysisMultiple processingPolymerPoly (ethylene terephthalate)Potential reactionsInjection cyclesMAQUINAS Y MOTORES TERMICOSInductively coupled plasmaSimulationEthersMatrix-assisted laser desorption/ionization time-of-flightQuality parametersDesign of ExperimentsGlycol unitsSample preparationArticleEthyleneEnvironmental ChemistryPolyethylene terephthalatesMALDI TOF MSSignal noise ratioMass spectrometryMatrixTermoplàsticsSignal to noiseTransesterificationDegradation mechanismMatrix-assisted laser desorption/ionizationStatistical design of experimentsTransesterificationchemistryChemical engineeringOligomersDesorptionEthylene glycolControlled studyProcess optimizationAnalytica chimica acta
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Assessing the MALDI-TOF MS sample preparation procedure to analyze the influence of thermo-oxidative ageing and thermo-mechanical degradation on poly…

2011

[EN] Multiple processing by means of successive injection cycles was used to simulate the thermo-mechanical degradation effects on the oligomeric distribution of PLA under mechanical recycling. Likewise, an accelerated thermal ageing over PLA glass transition was performed in order to simulate its service life. MALDI-TOF MS was used for the analysis and the sample preparation procedure was assessed by means of a statistical Design of Experiments (DoE). The quality effects in use for the analysis were signal-to-noise ratio and Resolution. Different matrixes, analyte/matrix proportions and the use of NaTFA as cationization agent were considered. A deep inspection of the statistical results pr…

Solucions polimèriquesPolymers and PlasticsGeneral Physics and AstronomyTransesterificationsThermo-mechanical degradationSample preparation procedureMatrix (chemical analysis)DegradationMechanismsMaterials ChemistryCationizationMechanical recyclingSample preparationRepeating unitPoly(lactide)Signal to noise ratioChemistryMultiple processingDesign of Experiments (DoE)AnalytesInjection cyclesPolylactidesMAQUINAS Y MOTORES TERMICOSMatrix-assisted laser desorption/ionization-time-of-flight mass spectrometryGlass transitionDesign of experimentsGlass lasersThermo mechanicalMALDI TOF MSChromatographyMatrixMass spectrometrySignal to noiseTermoplàsticsOrganic ChemistryDegradation mechanismThermo-oxidative ageingStatistical design of experimentsMatrix-assisted laser desorption/ionizationInvestigation methodsMatrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS)Polylactide (PLA)AgeingOligomersDegradation (geology)DesorptionDeep inspectionExperimentsPoly(lactide)European Polymer Journal
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Finding near-perfect parameters for hardware and code optimizations with automatic multi-objective design space explorations

2012

Summary In the design process of computer systems or processor architectures, typically many different parameters are exposed to configure, tune, and optimize every component of a system. For evaluations and before production, it is desirable to know the best setting for all parameters. Processing speed is no longer the only objective that needs to be optimized; power consumption, area, and so on have become very important. Thus, the best configurations have to be found in respect to multiple objectives. In this article, we use a multi-objective design space exploration tool called Framework for Automatic Design Space Exploration (FADSE) to automatically find near-optimal configurations in …

SpeedupComputer Networks and CommunicationsDesign space explorationComputer sciencebusiness.industryParallel computingProgram optimizationMulti-objective optimizationComputer Science ApplicationsTheoretical Computer ScienceMicroarchitectureComputational Theory and MathematicsScalabilityCode (cryptography)Engineering design processbusinessSoftwareComputer hardwareConcurrency and Computation: Practice and Experience
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Automatic multi-objective optimization of parameters for hardware and code optimizations

2011

Recent computer architectures can be configured in lots of different ways. To explore this huge design space, system simulators are typically used. As performance is no longer the only decisive factor but also e.g. power usage or the resource usage of the system it became very hard for designers to select optimal configurations. In this article we use a multi-objective design space exploration tool called FADSE to explore the vast design space of the Grid Alu Processor (GAP) and its post-link optimizer called GAPtimize. We improved FADSE with techniques to make it more robust against failures and to speed up evaluations through parallel processing. For the GAP, we present an approximation o…

SpeedupParallel processing (DSP implementation)Computer architectureComputer engineeringComputer scienceDesign space explorationPareto principleProgram optimizationGridMulti-objective optimizationSpace exploration
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Using neural networks to obtain indirect information about the state variables in an alcoholic fermentation process

2020

This work provides a manual design space exploration regarding the structure, type, and inputs of a multilayer neural network (NN) to obtain indirect information about the state variables in the alcoholic fermentation process. The main benefit of our application is to help experts reduce the time needed for making the relevant measurements and to increase the lifecycles of sensors in bioreactors. The novelty of this research is the flexibility of the developed application, the use of a great number of variables, and the comparative presentation of the results obtained with different NNs (feedback vs. feed-forward) and different learning algorithms (Back-Propagation vs. Levenberg&ndash

State variableComputer scienceDesign space explorationBioengineering02 engineering and technologyEthanol fermentationFermentation processlcsh:Chemical technology01 natural scienceslcsh:ChemistryControl theoryFermentation process; Neural network; Prediction applicationChemical Engineering (miscellaneous)Process controllcsh:TP1-1185Layer (object-oriented design)Flexibility (engineering)Artificial neural networkProcess Chemistry and Technology010401 analytical chemistryProcess (computing)021001 nanoscience & nanotechnologyNeural network0104 chemical scienceslcsh:QD1-999Prediction application0210 nano-technology
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Derived variables calculated from similar joint responses: some characteristics and examples

1995

Abstract A technique (Cox and Wermuth, 1992) is reviewed for finding linear combinations of a set of response variables having special relations of linear conditional independence with a set of explanatory variables. A theorem in linear algebra is used both to examine conditions in which the derived variables take a specially simple form and lead to reduced computations. Examples are discussed of medical and psychological investigations in which the method has aided interpretation.

Statistics and ProbabilityApplied MathematicsDesign matrixComputational MathematicsComputational Theory and MathematicsConditional independenceLinear predictor functionLinear algebraCalculusApplied mathematicsMarginal distributionCanonical correlationLinear combinationIndependence (probability theory)MathematicsComputational Statistics & Data Analysis
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A new mathematical approach for the estimation of the AUC and its variability under different experimental designs in preclinical studies

2011

The aim of the present work was to develop a new mathematical method for estimating the area under the curve (AUC) and its variability that could be applied in different preclinical experimental designs and amenable to be implemented in standard calculation worksheets. In order to assess the usefulness of the new approach, different experimental scenarios were studied and the results were compared with those obtained with commonly used software: WinNonlin® and Phoenix WinNonlin®. The results do not show statistical differences among the AUC values obtained by both procedures, but the new method appears to be a better estimator of the AUC standard error, measured as the coverage of 95% confi…

Statistics and ProbabilityComputer scienceDrug Evaluation PreclinicalAdministration Oralcomputer.software_genreSoftwareCiprofloxacinArea under curveVariance estimationAnimalsPharmacology (medical)Rats WistarPharmacologyModels Statisticalbusiness.industryDesign of experimentsEstimatorModels TheoreticalConfidence intervalRatsStandard errorResearch DesignArea Under CurveData miningbusinesscomputerSoftwarePharmaceutical Statistics
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