Neural networks as a numerical tool to solve the electromagnetic field in an enclosed space

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dc.audience.degreeGRAU EN ENGINYERIA FÍSICA (Pla 2011)
dc.audience.educationlevelGrau
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona
dc.contributorLázaro Villa, José Antonio
dc.contributorOlivares Mañas, Edgar
dc.contributorGuann-Pyng, Li
dc.contributor.authorHerrero Parareda, Albert
dc.contributor.covenanteeUniversity of California, Irvine
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2020-10-22T13:59:02Z
dc.date.available2023-10-23T00:26:00Z
dc.date.issued2020-06
dc.date.updated2020-07-30T05:50:31Z
dc.description.abstractI am responsible for the formulation of preprocessing functions to enhance the efficiency of the simulations made by an Artificial Neural Network of the Electromagnetic Field emitted by a Dipole Antenna in a closed room, ideally a clean room and then evolve towards the grounds of an enclosed factory. The goal is to optimize the position of the antenna to obtain the strongest Received Signal Strength (RSS) with maximum efficiency both in computational and human costs.
dc.description.abstractI am responsible for the formulation of preprocessing functions to enhance the efficiency of the simulations made by an Artificial Neural Network of the Electromagnetic Field emitted by a Dipole Antenna in a closed room, ideally a clean room and then evolve towards the grounds of an enclosed factory. The goal is to optimize the position of the antenna to obtain the strongest Received Signal Strength (RSS) with maximum efficiency both in computational and human costs.
dc.description.abstractI am responsible for the formulation of preprocessing functions to enhance the efficiency of the simulations made by an Artificial Neural Network of the Electromagnetic Field emitted by a Dipole Antenna in a closed room, ideally a clean room and then evolve towards the grounds of an enclosed factory. The goal is to optimize the position of the antenna to obtain the strongest Received Signal Strength (RSS) with maximum efficiency both in computational and human costs.
dc.identifier.slugETSETB-230.151891
dc.identifier.urihttps://hdl.handle.net/2117/330650
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rights.accessOpen Access
dc.subject.lcshNeural computers
dc.subject.lcshComputer simulation
dc.subject.lcshAntennas (Electronics)
dc.subject.lemacOrdinadors neuronals
dc.subject.lemacSimulació per ordinador
dc.subject.lemacAntenes (Electrònica)
dc.subject.otherElectromagnetism
dc.subject.otherNeural Network
dc.titleNeural networks as a numerical tool to solve the electromagnetic field in an enclosed space
dc.typeBachelor thesis
dspace.entity.typePublication

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