Search results for "electrical_electronic_engineering"

showing 6 items of 6 documents

A General Design Procedure for Symmetrical Windings of Electrical Machines

2018

Winding design methods have been a subject of research for many years of the past century. Many methods have been developed, each one characterized by some advantages and some drawbacks. Nowadays, the star of slots is the most widespread design tool for electrical machine windings. In this context, this paper presents a simple and effective procedure to determine the distribution of the EMF stars and of the winding configuration in all possible typologies of electrical machines equipped with symmetrical windings. Moreover, this procedure can also be easily implemented in a computer program in order to perform automated winding designs for rotating electrical machines. Several examples are p…

Computer scienceElectromagnetic coilelectrical_electronic_engineeringMechanical engineering
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Exploring FPGA Based Lock-in Techniques for Brain Monitoring Applications

2017

Functional Near Infrared Spectroscopy (fNIRS) systems for e-health applications usually suffer of poor signal detection mainly due to a low end-to-end signal to noise ratio of the electronics chain. Lock-In Amplifiers (LIA) historically represent a powerful technique helping to improve performances in such circumstances. In this work it has been designed and implemented a digital LIA system, based on a Zynq® Field Programmable Gate Array (FPGA), trying to explore if this technique might improve fNIRS system performances. More broadly, FPGA based solution flexibility has been investigated, with particular emphasis applied to digital filter parameters, needed in the digital LIA, and i…

Computer sciencebusiness.industryNoise (signal processing)Emphasis (telecommunications)Signallaw.inventionMicroprocessorlawelectrical_electronic_engineeringVHDLDetection theorybusinessField-programmable gate arrayDigital filtercomputerComputer hardwarecomputer.programming_language
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Enhanced flexible algorithm for the optimization of slot filling factors in electrical machines †

2020

The continuous development in the field of industrial automation and electric mobility has led to the need for more efficient electrical machines with a high power density. The improvement of electrical machines’ slot filling factors is one of the measures to satisfy these requirements. In recent years, this topic has aroused greater interest in the industrial sector, since the evolution of the winding technological manufacturing processes allows an economically sustainable realization of ordered winding arrangements, rather than random ones. Moreover, the manufacture of electrical machines’ windings must be preceded by an accurate design phase in which it is possible to evaluate the maximu…

Electric motorControl and OptimizationComputer scienceEnergy Engineering and Power TechnologyFilling factor optimizationMagnetic wiresSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilcsh:TechnologyField (computer science)WindingsHardware_GENERALElectrical motorElectronic engineeringElectrical and Electronic EngineeringEngineering (miscellaneous)Power densityFlexibility (engineering)Electrical motorsIdeal (set theory)Optimization algorithmelectrical motors; sot filling factor; optimization algorithm; windings; magnetic wire; filling factor optimizationElectrical motors; Filling factor optimization; Magnetic wire; Optimization algorithm; Sot filling factor; WindingsRenewable Energy Sustainability and the EnvironmentFilling factorbusiness.industrylcsh:TAutomationOptimization algorithmMagnetic wireElectromagnetic coilelectrical_electronic_engineeringSot filling factorbusinessRealization (systems)AlgorithmEnergy (miscellaneous)
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Low-Power Audio Keyword Spotting using Tsetlin Machines

2021

The emergence of Artificial Intelligence (AI) driven Keyword Spotting (KWS) technologies has revolutionized human to machine interaction. Yet, the challenge of end-to-end energy efficiency, memory footprint and system complexity of current Neural Network (NN) powered AI-KWS pipelines has remained ever present. This paper evaluates KWS utilizing a learning automata powered machine learning algorithm called the Tsetlin Machine (TM). Through significant reduction in parameter requirements and choosing logic over arithmetic based processing, the TM offers new opportunities for low-power KWS while maintaining high learning efficacy. In this paper we explore a TM based keyword spotting (KWS) pipe…

FOS: Computer and information sciencesspeech commandSound (cs.SD)Computer scienceSpeech recognition02 engineering and technologykeyword spottingMachine learningcomputer.software_genreComputer Science - SoundReduction (complexity)Audio and Speech Processing (eess.AS)020204 information systemsFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringArtificial neural networkLearning automatabusiness.industrylearning automatalcsh:Applications of electric power020206 networking & telecommunicationslcsh:TK4001-4102Pipeline (software)Power (physics)machine learningTsetlin MachineMFCCKeyword spottingelectrical_electronic_engineeringScalabilityMemory footprintpervasive AI020201 artificial intelligence & image processingMel-frequency cepstrumArtificial intelligencebusinesscomputerartificial neural networkEfficient energy useElectrical Engineering and Systems Science - Audio and Speech Processing
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Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017

2020

Technologies, such as Wireless Sensor Networks (WSN) and Internet of Things (IoT), have captured the imagination of researchers, businesses, and general public, due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. In an ongoing research effort to highlight trends and developments in these technologies and to see whether they are actually deployed rather than subjects of theoretical research with presumed potential use cases, we gathered and codified a dataset of scientific publications from a five-year period from 2013 t…

IoTInformation Systems and ManagementComputer sciencebusiness.industryReal-time computingScopusreviewData scienceWork relatedWSNField (computer science)lcsh:ZComputer Science Applicationslcsh:Bibliography. Library science. Information resourcesSoftware deploymentelectrical_electronic_engineeringResearch studiesdeploymentUse caseInternet of ThingsbusinessWireless sensor networkPublicationInformation SystemsData
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Characterization of Different Cable Ferrite Materials to Reduce the Electromagnetic Noise in the 2–150 kHz Frequency Range

2017

The gap of standardization for conducted and field coupled electromagnetic interferences (EMI) in the 2–150 kHz frequency range can lead to Electromagnetic Compatibility (EMC) problems. This is caused by power systems such as Pulse Width Modulation (PWM) controlled rectifiers, photovoltaic inverters or charging battery units in electric vehicles. This is a very important frequency spectral due to interferences generated in a wide range of devices and, specifically, communication problems in the new technologies and devices incorporated to the traditional grid to convert it into a Smart Grid. Consequently, it is necessary to provide new solutions to attenuate this kind of interference, which…

Materials scienceInterference (communication)EMIAcousticselectrical_electronic_engineeringElectromagnetic compatibilityFerrite (magnet)Insertion lossFilter (signal processing)Electrical impedancePulse-width modulation
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