Search results for " Mach"

showing 10 items of 1388 documents

On Attacking Future 5G Networks with Adversarial Examples : Survey

2022

The introduction of 5G technology along with the exponential growth in connected devices is expected to cause a challenge for the efficient and reliable network resource allocation. Network providers are now required to dynamically create and deploy multiple services which function under various requirements in different vertical sectors while operating on top of the same physical infrastructure. The recent progress in artificial intelligence and machine learning is theorized to be a potential answer to the arising resource allocation challenges. It is therefore expected that future generation mobile networks will heavily depend on its artificial intelligence components which may result in …

deep learning5G-tekniikkaGeneral Medicinematkaviestinverkottekoälyartificial intelligenceadversarial machine learning5G networkskoneoppiminenmatkaviestinpalvelut (telepalvelut)algoritmit5G cybersecurity knowledge basetietoturvakyberturvallisuusverkkohyökkäyksetverkkopalvelut
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Architettura e second digital turn, l’evoluzione degli strumenti informatici e il progetto

2021

La condizione digitale che ha gradualmente ibridato le nostre esistenze, trasformando atomi in bit, si è oggi cementificata sulla nostra società, arricchendone la postmodernità e determinando una nuova liquidità acuitasi con l’avvento di internet. Un momento storico segnato da una nuova maturità del digitale, evidente nel nostro diverso rapporto con i dati, e nella diffusione di metodi di machine learning avanzato, che promettono una nuova capacità di comprensione della complessità contemporanea e nel frattempo contribuiscono alla propagazione dell’apparato tecnico sul mondo. Questi cambiamenti, tanto profondi da toccare la nostra cultura, stanno modificando il nostro modo di interpretare e…

digital architecture architectural design machine learning data cad digital tools parametric architecture communication design process project managementSettore ICAR/14 - Composizione Architettonica E UrbanaArchitettura architettura digitale machine learning dati Cad strumenti digitali architettura parametrica comunicazione processo progettuale gestione dei processi
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Quantitative Rotor Broken Bar Evaluation in Double Squirrel Cage Induction Machines under Dynamic Operating Conditions

2013

Advanced monitoring techniques leading to fault diagnosis and prediction of induction machine faults, operating under non-stationary conditions have gained strength because of its considerable influence on the operational continuation of many industrial processes. In case of rotor broken bars, fault detection based on sideband components issued from currents, flux, instantaneous control or power signals under different load conditions, may fail due to the presence of inter-bar currents that reduce the degree of rotor asymmetry, especially for double squirrel cage induction motors. But the produced core vibrations in the axial direction, can be investigated to overcome the limitation of the …

discrete wavelet transformEngineeringbusiness.industryRotor (electric)Squirrel-cage rotorBar (music)squirrel cage motorSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciFault (power engineering)FAULT DIAGNOSISFault detection and isolationPower (physics)law.inventionVibrationTime-Frequency AnalysisControl theorylawAC Machine Condition monitoring Double cage rotor fault diagnostics induction motor wavelet TransformbusinessInduction motor
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CoproID predicts the source of coprolites and paleofeces using microbiome composition and host DNA content

2020

Shotgun metagenomics applied to archaeological feces (paleofeces) can bring new insights into the composition and functions of human and animal gut microbiota from the past. However, paleofeces often undergo physical distortions in archaeological sediments, making their source species difficult to identify on the basis of fecal morphology or microscopic features alone. Here we present a reproducible and scalable pipeline using both host and microbial DNA to infer the host source of fecal material. We apply this pipeline to newly sequenced archaeological specimens and show that we are able to distinguish morphologically similar human and canine paleofeces, as well as non-fecal sediments, fro…

dogsArcheologyMicrobial DNAData Mining and Machine LearningCoprolitemicrobiomeendogenous DNAlcsh:MedicineMorphology (biology)Genomechemistry.chemical_compoundPaleofecesDog0601 history and archaeologyGutArqueologia Metodologia0303 health sciences060102 archaeologyGeneral NeuroscienceGeneral Medicine06 humanities and the artsGenomicsNextflowmachine learningnextflowgutGeneral Agricultural and Biological SciencesShotgun metagenomicsPaleofecesHumanpaleofecesBioinformaticsBiologyMicrobiologyGeneral Biochemistry Genetics and Molecular Biologydiversity03 medical and health sciencesEndogenous DNAMachine learningcoprolitedog molecular analysishumanMicrobiomeancient DNAgenome030304 developmental biology030306 microbiologyHost (biology)lcsh:RcultureAncient DNAarcheologychemistryEvolutionary biologyAnthropologyCoproliteMicrobiomedietDNAPeerJ
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The role of expert evaluation for microsleep detection

2015

Abstract Recently, it has been shown by overnight driving simulation studies that microsleep density is the only known sleepiness indicator which rapidly increases within a few seconds immediately before sleepiness related crashes. This indicator is based solely on EEG and EOG and subsequent adaptive pattern recognition. Accurate microsleep recognition is very important for the performance of this sleepiness indicator. The question is whether expensive evaluations of microsleep events by a) experts are necessary or b) non-experts provide sufficient evaluations. Based on 11,114 microsleep events in case a) and 12,787 in case b) recognition accuracies were investigated utilizing (i) artificia…

driving simulationmicrosleepMicrosleepArtificial neural networkmedicine.diagnostic_testComputer sciencebusiness.industryBiomedical EngineeringRElectroencephalographysupport-vector machinesMachine learningcomputer.software_genresleepinessneural networksSupport vector machineeogExpert evaluationmedicineDriving simulationMedicineArtificial intelligenceeegbusinesscomputerCurrent Directions in Biomedical Engineering
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VEBO: Validation of E-R diagrams through ontologies and WordNet

2012

In the semantic web vision, ontologies are building blocks for providing applications with a high level description of the operating environment in support of interoperability and semantic capabilities. The importance of ontologies in this respect is clearly stated in many works. Another crucial issue to increase the semantic aspect of web is to enrich the level of expressivity of database related data. Nowadays, databases are the primary source of information for dynamical web sites. The linguistic data used to build the database structure could be relevant for extracting meaningful information. In most cases, this type of information is not used for information retrieval. The work present…

e-r DiagramInformation retrievalbusiness.industryRelational databaseComputer scienceOntologyInteroperabilityWord processingWordNetOntology (information science)computer.software_genreSemanticsRule-based machine translationArtificial intelligencebusinesscomputerSemantic WebNatural language processing
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A Method Based on Multi-source Feature Detection for Counting People in Crowded Areas

2019

We propose a crowd counting method for multisource feature fusion. Image features are extracted from multiple sources, and the population is estimated by image feature extraction and texture feature analysis, along with for crowd image edge detection. We count people in high-density still images. For instance, in the city’s squares, sports fields, subway stations, etc. Our approach uses a still image taken by a camera on a drone to appraise the count in the population density image, using a kind of sources of information: HOG, LBP, CANNY. We furnish separate estimates of counts and other statistical measurements through several types of sources. Support vector machine SVM, classification an…

education.field_of_studyWarning systembusiness.industryFeature extractionPopulationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONRegression analysisPattern recognitionImage (mathematics)Support vector machineArtificial intelligencebusinesseducationMulti-sourceFeature detection (computer vision)2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP)
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On the mechanical stability and out-of-plane dynamics of a travelling panel submerged in axially flowing ideal fluid : a study into paper production …

2011

elastic stabilitymallintaminenpaperirainapaper makingmekaniikkaaxially movingpaperinvalmistusfluid-structure interactionmassa- ja paperiteollisuuslaskennallinen mekaniikkamenetelmätpotential flowpapermaking machineryFSIpaper webeigenvalue problemvalmistuspaneldynamiikkapaperikoneet
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A magnetostrictive generator for sensors network

2017

In this paper we present a vibration harvesting electric power generator based on magnetostrictive effect for sensors network in hazardous area and we validate it experimentally. The generator has been designed by using Dynamic Preisach hysteresis Model (DPM). DPM is a development of classical Preisach Model which is able to include dynamical features in the mathematical model of hysteresis. We measure the output power capability of the generator and we estimate its power density generation capability.

energy harvestingControl and OptimizationPower capabilityComputer scienceMeasure (physics)Energy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricimagnetostriction01 natural sciencesIndustrial and Manufacturing EngineeringGenerator (circuit theory)Control theory0103 physical sciencesElectrical and Electronic EngineeringHysteresis modellingPower density010302 applied physicsSettore ING-IND/11 - Fisica Tecnica AmbientaleMagnetostriction021001 nanoscience & nanotechnologyelectric machineVibrationHysteresismagnetic materialElectric power0210 nano-technologyIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
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Accessibility of Cultural Heritage in the Virtual Environment of Latvia Memory Institutions

2014

The aim of research is to evaluate the level of e-service provision in digital collections created by memory institutions (libraries and archives) of Latvia. The problem under study is as follows: digital collections have insufficient usability due to lack of appropriate e-services. The empirical basis for research is e-services of digital collections created by national and regional level libraries, as well as the National Archives of Latvia. The evaluation of e-services is based on 14 indicators within 7 categories: visibility, search, reference, personalization, user participation, instructions, and document delivery. The analysis reveals that the level of eservice development is quite l…

evaluationbusiness.industryelectronic servicememory institutionPublic relationscomputer.software_genrelcsh:Zlcsh:Bibliography. Library science. Information resourcesCultural heritagePsychiatry and Mental healthVirtual machinePolitical sciencedigital collectionbusinesscomputerBibliotheca Lituana
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