DC ElementWertSprache
dc.contributor.authorKhimchenko, Igor-
dc.contributor.authorSchulz, Peter-
dc.date.accessioned2021-07-02T14:13:52Z-
dc.date.available2021-07-02T14:13:52Z-
dc.date.issued2019-09-01-
dc.identifier.citationThe crossing point of intelligent data acquisition & advanced computing systems and East & West scientists : IDAACS'2019 : proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) : September 18-21, 2019, Metz, France / organized by IEEE Ukraine Section I&M/CI Joint Societies Chapter; Research Institute for Intelligent Computer Systems; Ternopil National Economic University and V.M. Glushkov Institute of Cybernetics, National Academy for Sciences of Ukraine; ENIM (École nationale d'ingénieurs de Metz); LCOMS (Laboratory of Conception, Optimisation and Modelling of Systems); University of Lorraineen_US
dc.identifier.isbn9781728140681en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/11179-
dc.description.abstractA large number of different applications are associated with different types of embedded systems where sensors play the key role in the creating of a particular view of an environment a system is being operated in. Embedded systems are often characterized as the soft- or hard-real-time systems, with high requirements for safety, thus imposing strict requirements for the timing behavior and accuracy of sensors in order to ensure determinism and dependability of a system. At early stage of a system design, analysis or optimization, the satisfaction of the requirements can be checked with models of sensors. The authors aim to investigate the timing performance and accuracy achieved during simulation of the same sensor model implemented in two different ways: as a software artifact and as a field programmable gate arrays (FPGA) solution. This article constitutes a part of the research activities defined in [1].en_US
dc.language.isoenen_US
dc.relation.ispartof2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)en_US
dc.subjectFPGAen_US
dc.subjectHILen_US
dc.subjectMATLABen_US
dc.subjectmodelen_US
dc.subjectmodelingen_US
dc.subjectsensoren_US
dc.subjectsimulationen_US
dc.subjectSimulinken_US
dc.subjectsoftwareen_US
dc.titleTiming Characteristics of Sensor Simulation in an HIL Environmenten_US
dc.typeinProceedingsen_US
dc.relation.conferenceProceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisitionen_US
tuhh.container.endpage877en_US
tuhh.container.startpage870en_US
tuhh.container.volume2en_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteFachhochschule Dortmunden_US
tuhh.publication.instituteDepartment Informations- und Elektrotechniken_US
tuhh.publication.instituteFakultät Technik und Informatiken_US
tuhh.publisher.doi10.1109/IDAACS.2019.8924264-
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.type.casraiConference Paper-
dc.type.dinicontributionToPeriodical-
dc.type.drivercontributionToPeriodical-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
tuhh.container.articlenumber8924264-
item.creatorGNDKhimchenko, Igor-
item.creatorGNDSchulz, Peter-
item.fulltextNo Fulltext-
item.creatorOrcidKhimchenko, Igor-
item.creatorOrcidSchulz, Peter-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.openairetypeinProceedings-
crisitem.author.deptDepartment Informations- und Elektrotechnik-
crisitem.author.orcid0009-0009-4830-1498-
crisitem.author.parentorgFakultät Technik und Informatik-
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