Search results for "format"

showing 10 items of 24643 documents

Direct Torque Control of a Small Wind Turbine with a Sliding-Mode Speed Controller

2016

In this paper. the method of direct torque control in the presence of a sliding-mode speed controller is proposed for a small wind turbine being used in water heating applications. This concept and control system design can be expanded to grid connected or off-grid applications. Direct torque control of electrical machines has shown several advantages including very fast dynamics torque control over field-oriented control. Moreover. the torque and flux controllers in the direct torque control algorithms are based on hvsteretic controllers which are nonlinear. In the presence of a sliding-mode speed control. a nonlinear control system can be constructed which is matched for AC/DC conversion …

0209 industrial biotechnologyHistoryEngineeringWind powerVector controlSmall wind turbinebusiness.industry02 engineering and technologyPermanent magnet synchronous generatorTurbineWind speedComputer Science ApplicationsEducationPhysics and Astronomy (all)020901 industrial engineering & automationDirect torque controlControl theory0202 electrical engineering electronic engineering information engineeringTorque020201 artificial intelligence & image processingbusinessJournal of Physics: Conference Series
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Human Systems Design: Towards an Integrative Conceptual Framework

2020

International audience; Conceiving artefacts and tools is one of the major key characteristics of the human species. Since the beginning of automation and even more since the spreading of computer science, this activity has become more and more challenging especially through the analysis of the different interaction modes between the artifacts and the human. Nowadays, developing an artifact that must interact with a human is requiring an integrative point of view which must include biological, physical and cybernetical concerns. The current norms aimed at characterizing the quality and the relevance of human machine interface are generally limited to standard interfaces and/or to specific d…

0209 industrial biotechnologyHuman systems engineeringInteractionComputer sciencemedia_common.quotation_subjectIntegration02 engineering and technologyArtifact (software development)EpistemologyDomain (software engineering)Human-systems03 medical and health sciences020901 industrial engineering & automation0302 clinical medicineConceptual frameworkQuality (business)Relevance (information retrieval)media_commonbusiness.industryData scienceAutomationConceptual framework030220 oncology & carcinogenesis[SCCO.PSYC]Cognitive science/Psychology[SCCO.PSYC] Cognitive science/PsychologyKey (cryptography)Ergonomic criteriabusiness
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Virtual sensing of load forces in hydraulic actuators using second- and higher-order sliding modes

2019

Abstract External load forces are challenging for sensing or estimating in the hydraulic actuators. Once it is due to inconvenient instrumentation of the force sensors, especially on an open-end mechanical interface. The other way, the complex nonlinear system behavior aggravates reconstructing the system states in a robust and real-time suitable manner. This paper proposes a sensorless estimation of external load forces in standard hydraulic actuators by using a well-established equivalent output injection of the second-order sliding mode and also higher-order sliding mode differentiator. Only the basic inertial and frictional parameters are assumed to be known from an initial identificati…

0209 industrial biotechnologyInertial frame of referenceComputer scienceApplied MathematicsInstrumentation020208 electrical & electronic engineering02 engineering and technologyComputer Science Applicationslaw.inventionCylinder (engine)Hydraulic cylinderPistonDifferentiatorNonlinear system020901 industrial engineering & automationControl and Systems EngineeringlawControl theory0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringActuatorControl Engineering Practice
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Online fitted policy iteration based on extreme learning machines

2016

Reinforcement learning (RL) is a learning paradigm that can be useful in a wide variety of real-world applications. However, its applicability to complex problems remains problematic due to different causes. Particularly important among these are the high quantity of data required by the agent to learn useful policies and the poor scalability to high-dimensional problems due to the use of local approximators. This paper presents a novel RL algorithm, called online fitted policy iteration (OFPI), that steps forward in both directions. OFPI is based on a semi-batch scheme that increases the convergence speed by reusing data and enables the use of global approximators by reformulating the valu…

0209 industrial biotechnologyInformation Systems and ManagementRadial basis function networkArtificial neural networkComputer sciencebusiness.industryStability (learning theory)02 engineering and technologyMachine learningcomputer.software_genreManagement Information Systems020901 industrial engineering & automationArtificial IntelligenceBellman equation0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Reinforcement learning020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerSoftwareExtreme learning machineKnowledge-Based Systems
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Impact of accounting process characteristics on accounting outsourcing - Comparison of users and non-users of cloud-based accounting information syst…

2019

Article In Press The article of record as published may be found at https://doi.org/10.1016/j.accinf.2019.06.002 Prior literature informs us that a company's decision to outsource a business process depends on process characteristics such as how frequently the process is performed or how specific the assets required by the process are. In this article, we compare the effects of accounting process characteristics on outsourcing decisions across users of traditional and cloud-based accounting information systems (AIS). By focusing on outsourcing of accounting processes among small and medium sized enterprises, we investigate the effect of five business process characteristics (frequency, huma…

0209 industrial biotechnologyInformation Systems and ManagementulkoistaminenProcess (engineering)Business processcloud-based accounting information systemsaccountingsmall and medium-sized enterprisesAccountingCloud computing02 engineering and technologyAsset specificitytransaction costsManagement Information SystemsOutsourcingpilvipalvelut020901 industrial engineering & automationAccounting0502 economics and businessTransaction costkirjanpitobusiness.industrytransaktiokustannukset05 social scienceseconomics050201 accountingkustannuksetVariety (cybernetics)outsourcingAccounting information systembusinesspienet ja keskisuuret yrityksetFinance
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A theoretical framework for product relationships description over space and time in integrated design

2016

ABSTRACTThis paper presents a novel qualitative description theory in the context of integrated design, which here incorporates assembly sequence planning in the early product design stages (also called assembly oriented design – AOD). Based on a literature review of current AOD approaches, product models and mereotopology-based theories, the authors introduce a promising mereotopological theory which enables the formal product relationships description in integrated design by introducing an emerging framework, four-dimensionalism (i.e. perdurantism in philosophy). The proposed efforts aim at providing a concrete basis for describing the evolution of spatial entities (i.e. product parts) an…

0209 industrial biotechnologyIntegrated designInterpretation (logic)Basis (linear algebra)Product designComputer scienceGeneral EngineeringContext (language use)02 engineering and technology020901 industrial engineering & automationProduct (mathematics)0202 electrical engineering electronic engineering information engineeringSystems engineering020201 artificial intelligence & image processingPerdurantismMereotopologyJournal of Engineering Design
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Regenerative scheduling problem in engineer to order manufacturing: an economic assessment

2021

The dynamic production scheduling is a very complex process that may arise from the occurrence of unpredictable situations such as the arrival of new orders besides the ones already accepted. As a consequence, companies may often encounter several difficulties to make decisions about the new orders acceptance and sequencing along with the production of the existing ones. With this recognition, a mathematical programming model for the regenerative scheduling problem with deterministic processing times is formulated in the present paper to evaluate the economic advantage of accepting a new order in an engineer to order (ETO) manufacturing organization. The real case of an Italian ETO company …

0209 industrial biotechnologyJob shop schedulingProcess (engineering)Build to orderComputer scienceEconomic assessment; Engineer to order; Mathematical programming; SchedulingManufacturing organizationScheduling (production processes)02 engineering and technologyIndustrial engineeringIndustrial and Manufacturing Engineering020901 industrial engineering & automationEconomic assessmentArtificial IntelligenceOrder (exchange)Economic assessment Engineer to order Mathematical programming SchedulingSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingSoftware
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K-nearest neighbor driving active contours to delineate biological tumor volumes

2019

Abstract An algorithm for tumor delineation in positron emission tomography (PET) is presented. Segmentation is achieved by a local active contour algorithm, integrated and optimized with the k-nearest neighbor (KNN) classification method, which takes advantage of the stratified k-fold cross-validation strategy. The proposed approach is evaluated considering the delineation of cancers located in different body districts (i.e. brain, head and neck, and lung), and considering different PET radioactive tracers. Data are pre-processed in order to be expressed in terms of standardized uptake value, the most widely used PET quantification index. The algorithm uses an initial, operator selected re…

0209 industrial biotechnologyK-nearest neighborComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFDG and MET PET imagingStandardized uptake value02 engineering and technologyImaging phantomk-nearest neighbors algorithmActive contour algorithm020901 industrial engineering & automationArtificial IntelligenceRegion of interest0202 electrical engineering electronic engineering information engineeringSegmentationElectrical and Electronic EngineeringActive contour modelbusiness.industryProcess (computing)Pattern recognitionCancer segmentationBiological target volumeControl and Systems Engineering020201 artificial intelligence & image processingArtificial intelligencebusinessEnergy (signal processing)Engineering Applications of Artificial Intelligence
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An Ontology to Support Semantic Management of FMEA Knowledge

2016

<p>Risk mitigation has always been a special concern for organization’s strategic management. Various tools and techniques have been developed to manage risk in an effective way. Failure Mode and Effects Analysis (FMEA) is one of the tools used for effective assessment of risk. It analyzes all potential failure modes, their causes, and effects on a product or process. Moreover it recommends actions to mitigate failures in order to enhance product reliability. Organizations spend their resources and domain experts make their efforts to complete this analysis. It further helps organizations identify the expected risks and plan strategies in advance to tackle them. But unfortunately the …

0209 industrial biotechnologyKnowledge managementComputer Networks and Communicationsbusiness.industryProcess (engineering)Computer science0102 computer and information sciences02 engineering and technologyReuseOntology (information science)01 natural sciencesComputer Science Applications020901 industrial engineering & automationComputational Theory and MathematicsData retrievalRisk analysis (engineering)010201 computation theory & mathematicsStrategic managementbusinessFailure mode and effects analysisRisk managementNatural languageInternational Journal of Computers Communications & Control
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Patented intelligence: Cloning human decision models for Industry 4.0

2018

Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making …

0209 industrial biotechnologyKnowledge managementIndustry 4.0Computer sciencecognitive modelsCompromisemedia_common.quotation_subjectpäätöksentekoCognitive computingRationality02 engineering and technologyIndustrial and Manufacturing Engineeringcyber-physical system020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringontologyindustry 4.0preferencevalue systemmedia_commonta113cloneta214Cloning (programming)business.industryCollective intelligencecollective intelligencedecision-makingPi-Mindsmart decisiontietämysjärjestelmätpatented intelligenceHardware and ArchitectureControl and Systems Engineeringteollisuusautomaatioälytekniikkavalmistustekniikka020201 artificial intelligence & image processingjoukkoälyHuman cloningbusinessDecision modelSoftwareJournal of Manufacturing Systems
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