Search results for " mac"

showing 10 items of 3066 documents

Classification of persimmon fruit origin by near infrared spectrometry and least squares-support vector machines

2014

Abstract The main objective of this work has been the authentication by Fourier transform near infrared (FT-NIR) spectrometry of the origin of persimmon fruits cultivated in different regions of Spain. In order to achieve this goal, 166 persimmon samples from 7 different regions of Spain were analyzed by FT-NIR spectrometry. By splitting the spectral data in training and independent test sets, a classification model was built using least squares support vector machines chemometric technique. Orthogonal signal correction and principal component analysis were performed prior to conduct the classification strategy. The verified model was applied for the prediction of the origin of 50 samples f…

business.industryAnalytical chemistryPattern recognitionNear-Infrared SpectrometryMass spectrometryLeast squaresChemometricsSupport vector machinesymbols.namesakeFourier transformTest setPrincipal component analysissymbolsArtificial intelligencebusinessFood ScienceMathematicsJournal of Food Engineering
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Fuzzy sigmoid kernel for support vector classifiers

2004

This Letter proposes the use of the fuzzy sigmoid function presented in (IEEE Trans. Neural Networks 14(6) (2003) 1576) as non-positive semi-definite kernel in the support vector machines framework. The fuzzy sigmoid kernel allows lower computational cost, and higher rate of positive eigenvalues of the kernel matrix, which alleviates current limitations of the sigmoid kernel.

business.industryCognitive NeurosciencePattern recognitionSigmoid functionFuzzy logicComputer Science ApplicationsSupport vector machineKernel methodArtificial IntelligencePolynomial kernelKernel embedding of distributionsRadial basis function kernelLeast squares support vector machineArtificial intelligencebusinessMathematicsNeurocomputing
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Preliminary test on a cascode switch for high-frequency applications

2020

Nowadays, an increasing electrification level is being addressed towards different sectors, such as transportation and industrial electronics. To bear that, high speed electrical machines represent a mature technology in different application fields, e.g. avionics, automotive, compressors and spindles. In order to guarantee high speed while keeping high power quality without adopting bulky filtering circuits, DC-AC converters shall be controlled by means of high Pulse Width Modulation (PWM) frequencies. In addition to the emerging switching device technologies, such as those based on Silicon-Carbide (SiC) and Gallium-Nitride (GaN), alternative circuital topologies are crucial in order to co…

business.industryComputer science020209 energy020208 electrical & electronic engineeringElectrical engineeringHigh voltageTopology (electrical circuits)high frequency02 engineering and technologyCascode switching devicesSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciConvertersNetwork topology7. Clean energyhigh voltage devices0202 electrical engineering electronic engineering information engineeringCascodeElectronicsbusinesscascode switching devices; high frequency; high voltage devices; power transistorsPulse-width modulationpower transistorsElectronic circuit
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Overview and experimental analysis of MC SPWM techniques for single-phase five level cascaded H-bridge FPGA controller-based

2016

This paper presents an overview and experimental analysis of the MC SPWM techniques for single-phase cascaded H-bridge inverter. The multilevel power converters are an alternative to traditional converters known as “three-level converters”. The voltage waveforms and the related frequency spectra, which have been obtained by simulation analysis in Matlab-Simulink environment, are here reported for all the proposed modulation techniques. The simulation results have been experimentally validated through means of a DC/AC, five-level, single-phase converter prototype with an appropriate test bench.

business.industryComputer science020209 energy020208 electrical & electronic engineeringPhotovoltaic systemElectrical engineering02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciH bridgePower (physics)Grid connectedSettore ING-IND/31 - ElettrotecnicaControl theoryControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringInverterMultilevel power converterVHDLFPGA; Grid connected; Multilevel power converter; Photovoltaic; VHDL; Control and Systems Engineering; Electrical and Electronic EngineeringElectrical and Electronic EngineeringField-programmable gate arraybusinessPhotovoltaicFPGAVoltage
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WiHAR : From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition

2020

A robust and unobtrusive human activity recognition system is essential to a multitude of applications, such as health care, active assisted living, robotics, sports, and tele-immersion. Existing well-performing activity recognition methods are either vision- or wearable sensor-based. However, they are not fully passive. In this paper, we develop WiHAR—an unobtrusive Wi-Fi-based activity recognition system. WiHAR uses the Wi-Fi network interface card to capture the channel state information (CSI) data. These CSI data are effectively processed, and then amplitude and phase information is used to obtain the spectrogram. In the subsequent step, the time-variant mean Doppler shift (MDS) caused …

business.industryComputer science05 social sciencesDecision treeWearable computer050801 communication & media studies020206 networking & telecommunicationsComputingMilieux_LEGALASPECTSOFCOMPUTING02 engineering and technologyLinear discriminant analysisActivity recognitionSupport vector machine0508 media and communicationsChannel state information0202 electrical engineering electronic engineering information engineeringSpectrogramComputer visionArtificial intelligencebusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Simulation of laser-generated ultrasonic wave propagation in solid media and air with application to NDE

2009

Ultrasonic methods are well known as powerful and reliable tool for defect detection. In the previous decades focus and interest have been directed to non-contact sensors and methods, showing many advantages over contact techniques where inspection depends on contact conditions (pressure, coupling medium, contact area). The non-contact hybrid ultrasonic method described here is of interest for many applications, requiring periodic inspection in service or after manufacturing. Despite the potential impact of laser-generated ultrasound in many areas of industry, robust tools for studying the phenomenon are lacking and thus limit the design and optimization of non-destructive testing and evalu…

business.industryComputer scienceAcousticsUltrasonic testingGeneral ChemistryAcoustic waveFinite element methodSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineOpticsTransducerNondestructive testingReflection (physics)General Materials ScienceUltrasonic sensorBoundary value problembusinessNDE Finite element Laser UltrasoundApplied Physics A
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Using Attribute Grammars for Description of Inductive Inference Search Space

1998

The problem of practically feasible inductive inference of functions or other objects that can be described by means of an attribute grammar is studied in this paper. In our approach based on attribute grammars various kinds of knowledge about the object to be found can be encoded, ranging from usual input/output examples to assumptions about unknown object's syntactic structure to some dynamic object's properties. We present theoretical results as well as describe the architecture of a practical inductive synthesis system based on theoretical findings.

business.industryComputer scienceAttribute grammarInferenceContext-free grammarInductive reasoningcomputer.software_genreObject (computer science)TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRule-based machine translationTerminal and nonterminal symbolsFormal languageSyntactic structureArtificial intelligenceL-attributed grammarbusinesscomputerNatural language processing
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Head Pose Estimation for Sign Language Video

2013

We address the problem of estimating three head pose angles in sign language video using the Pointing04 data set as training data. The proposed model employs facial landmark points and Support Vector Regression learned from the training set to identify yaw and pitch angles independently. A simple geometric approach is used for the roll angle. As a novel development, we propose to use the detected skin tone areas within the face bounding box as additional features for head pose estimation. The accuracy level of the estimators we obtain compares favorably with published results on the same data, but the smaller number of pose angles in our setup may explain some of the observed advantage.

business.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSign language3D pose estimationMotion captureData setSupport vector machineMinimum bounding boxFace (geometry)Computer visionArtificial intelligencebusinessPose
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Towards a SDN-based architecture for analyzing network traffic in cloud computing infrastructures

2015

Currently, network traffic monitoring tools do not fit well in the monitoring of cloud computing infrastructures. These tools are not integrated with the control plane of the cloud computing stack. This lack of integration causes a deficiency in the handling of the re-usage of IP addresses along virtual machines, a lack of adaption and reaction on highly frequent topology changes, and a lack of accuracy in the metrics gathered for the networking traffic flowing along the cloud infrastructure. The main contribution of this paper is to provide a novel SDN-based architecture to carry out the monitoring of network traffic in cloud infrastructures. The architecture in based on the integration be…

business.industryComputer scienceController (computing)Distributed computingFloodlight020206 networking & telecommunicationsCloud computing02 engineering and technologycomputer.software_genreNetwork traffic controlVirtual machineCloud testing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArchitecturebusinessSoftware-defined networkingcomputerComputer network2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
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Review of web-based information security threats in smart grid

2017

The penetration of digital devices in Smart Grid has created a big security issue. OWASP is an online community of security professionals that identifies the most critical web application security risk in IT domain. Smart Grid also uses client-server based web-applications to collect and disseminate information. Therefore, Smart Grid network is analogous to IT network and similar kind of risk exists in the Smart Grid. This paper review the security risk in Smart Grid domain with reference to OWASP study. The Smart Grid security is more biased towards vulnerabilities associated with a machine to machine communication. Methodology to minimise the risk of attack is also discussed in this resea…

business.industryComputer scienceCross-site scriptingAccess controlInformation securityComputer securitycomputer.software_genreWeb application securityMachine to machineSmart gridWeb applicationbusinesscomputerDissemination2017 7th International Conference on Power Systems (ICPS)
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