Search results for "Software"

showing 10 items of 7396 documents

Further Results on Modeling, Analysis, and Control Synthesis for Offshore Wind Turbine Systems

2014

Renewable energy is a hot topic all over the world. Nowadays, there are several sustainable renewable power solutions out there; hydro, wind, solar, wave, and biomass to name a few. Most countries have a tendency to want to become greener. In the past, all new wind parks were installed onshore. During the last decade, more and more wind parks were installed offshore, in shallow water. This chapter investigates a comparative study on the modeling, analysis, and control synthesis for the offshore wind turbine systems. More specifically, an \( {\mathcal{H}}_{\infty } \) static output-feedback control design with constrained information is designed. Constrained information indicates that a rema…

business.industryComputer scienceLinear matrix inequalitycomputer.software_genreTurbineRenewable energySimulation softwareMatrix (mathematics)Offshore wind powerControl theoryControl systembusinesscomputerPhysics::Atmospheric and Oceanic PhysicsMarine engineering
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Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach

2011

The aim of this work is to study the applicability of reinforcement learning methods to design adaptive treatment strategies that optimize, in the long-term, the dosage of erythropoiesis-stimulating agents (ESAs) in the management of anemia in patients undergoing hemodialysis. Adaptive treatment strategies are recently emerging as a new paradigm for the treatment and long-term management of the chronic disease. Reinforcement Learning (RL) can be useful to extract such strategies from clinical data, taking into account delayed effects and without requiring any mathematical model. In this work, we focus on the so-called Fitted Q Iteration algorithm, a RL approach that deals with the data very…

business.industryComputer scienceManagement scienceAnemiamedicine.medical_treatmentApproximation algorithmMachine learningcomputer.software_genremedicine.diseaseChronic diseasemedicineTreatment strategyReinforcement learningIn patientPatient treatmentHemodialysisArtificial intelligencebusinesscomputer2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
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A collaborative tool for designing and enacting design processes

2009

Today several approaches using Situational Method Engineering paradigm exist, each of them proposes methods and techniques for developing ad-hoc design processes. In this context heavy efforts were spent in the construction of appropriate tools that could help method engineers in producing a specific design process and in using it. We developed a tool called Metameth for supporting the design process definition and its enactment. Metameth is implemented as a multi-agent system, where each agent is capable of reasoning and adapting itself in order to support the designer in performing different kinds of design activities.

business.industryComputer scienceManagement scienceMethod engineeringDesign processContext (language use)Situational ethicsSoftware engineeringbusinesscomputer.software_genreEngineering design processcomputerExpert systemProceedings of the 2009 ACM symposium on Applied Computing
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Efficient mesoscale hydrodynamics: Multiparticle collision dynamics with massively parallel GPU acceleration

2018

Abstract We present an efficient open-source implementation of the multiparticle collision dynamics (MPCD) algorithm that scales to run on hundreds of graphics processing units (GPUs). We especially focus on optimizations for modern GPU architectures and communication patterns between multiple GPUs. We show that a mixed-precision computing model can improve performance compared to a fully double-precision model while still providing good numerical accuracy. We report weak and strong scaling benchmarks of a reference MPCD solvent and a benchmark of a polymer solution with research-relevant interactions and system size. Our MPCD software enables simulations of mesoscale hydrodynamics at lengt…

business.industryComputer scienceMesoscale meteorologyFOS: Physical sciencesGeneral Physics and Astronomy02 engineering and technologyComputational Physics (physics.comp-ph)Condensed Matter - Soft Condensed Matter021001 nanoscience & nanotechnology01 natural sciencesComputational scienceAccelerationSoftwareHardware and Architecture0103 physical sciencesBenchmark (computing)Soft Condensed Matter (cond-mat.soft)Graphics010306 general physics0210 nano-technologybusinessFocus (optics)Physics - Computational PhysicsMassively parallelScalingComputer Physics Communications
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Virtualization of Remote Devices and Services in Residential Networks

2009

Lately solutions for remote access for residential services have been proposed. However, these solutions require modifications to the service controllers. In addition, remote access adds complexity to the client application. We propose here a solution for decoupling remote access from the client itself with an entity that creates virtual instances of remote services in a local network. Thereby, clients will be able to discover the virtual instance and use it. Moreover, client applications do not need to distinguish between local and remote services hence reducing complexity.

business.industryComputer scienceMobile computingLocal area networkVirtual realityVirtualizationcomputer.software_genreComputer securityServerUniversal Plug and PlayHome computingbusinesscomputerComputer network2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies
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Prediction Model Selection and Spare Parts Ordering Policy for Efficient Support of Maintenance and Repair of Equipment

2010

The prediction model selection problem via variable subset selection is one of the most pervasive model selection problems in statistical applications. Often referred to as the problem of subset selection, it arises when one wants to model the relationship between a variable of interest and a subset of potential explanatory variables or predictors, but there is uncertainty about which subset to use. Several papers have dealt with various aspects of the problem but it appears that the typical regression user has not benefited appreciably. One reason for the lack of resolution of the problem is the fact that it has not been well defined. Indeed, it is apparent that there is not a single probl…

business.industryComputer scienceModel selectionFeature selectionResolution (logic)Machine learningcomputer.software_genreVariable (computer science)Residual sum of squaresSpare partArtificial intelligencebusinesscomputerSelection (genetic algorithm)Parametric statistics
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The Computer Control Software for MAMI

1980

The computer control system of the Mainz Microtron is designed to keep track with the modular and step-by-step construction of the three accelerator stages. The system is up to now based on two loosely coupled HP1000 minicomputers, interfaced via CAMAC to the accelerator components and to the operator desk. The control software is divided into several layers of portable processes distributed to both computers. Communication between the processes, access to the data bank and the routing of CAMAC interrupts are handled via a message system which operates with symbolic addresses.

business.industryComputer scienceModular designApplication softwarecomputer.software_genreMinicomputerlaw.inventionSoftwarelawOperating systemRouting (electronic design automation)businessMicrotroncomputerComputer Automated Measurement and ControlDesk
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Graphical interface for designing geometries and processing DICOM images for PENELOPE

2016

One of he most difficult steps when preparing a Monte Carlo calculation is the design of their geometries. Such process is an error-prone, time-consuming, and complex step for any simulation in the field of medical physics. The software VoxelMages has been developed to help the user in this complex task. It allows to design arbitrary geometries and to process DICOM image files for simulations with the general-purpose Monte Carlo code PENELOPE. Its main characteristics are described in the following.

business.industryComputer scienceMonte Carlo methodProcess (computing)Field (computer science)030218 nuclear medicine & medical imagingComputational science03 medical and health sciencesDICOMTask (computing)0302 clinical medicineSoftwareMonte carlo code030220 oncology & carcinogenesisComputer graphics (images)businessGraphical user interface2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)
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Introducing the Concept of Hyperactivity in Multi Agent Systems

2013

International audience; Software Agents are no longer the simple communication gateways for devices to interconnect using one or more networks. With Multi Agent Systems contributing in a wide spectrum of intelligent systems, the Agents are in a more proactive role than just being responsible for passing messages between their respective base systems. Agent Relation Charts and the Hyperactive Transaction Model in general is one of the recent attempts of developing a multi-view design model for Multi Agent Systems. The model has made a clear distinction in the regular and intelligent activities of an agent. Based on these differences, the agents are classified into three main categories named…

business.industryComputer scienceMulti-agent systemAutonomous agentIntelligent decision support system020207 software engineering02 engineering and technologycomputer.software_genreComputingMethodologies_ARTIFICIALINTELLIGENCEAgent-based social simulationIntelligent agent[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Belief–desire–intention software modelSoftware agentHuman–computer interaction[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusinessAgent architecturecomputer
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An Agents and Artifacts Approach to Distributed Data Mining

2013

This paper proposes a novel Distributed Data Mining (DDM) approach based on the Agents and Artifacts paradigm, as implemented in CArtAgO [9], where artifacts encapsulate data mining tools, inherited from Weka, that agents can use while engaged in collaborative, distributed learning processes. Target hypothesis are currently constrained to decision trees built with J48, but the approach is flexible enough to allow different kinds of learning models. The twofold contribution of this work includes: i) JaCA-DDM: an extensible tool implemented in the agent oriented programming language Jason [2] and CArtAgO [10,9] to experiment DDM agent-based approaches on different, well known training sets. A…

business.industryComputer scienceMulti-agent systemDecision treeCollaborative learningcomputer.software_genreMachine learningC4.5 algorithmData miningArtificial intelligencebusinesscomputerProtocol (object-oriented programming)Agent-oriented programmingCounterexample
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