Search results for "Parallel"

showing 10 items of 667 documents

FRIPON: a worldwide network to track incoming meteoroids

2020

Context. Until recently, camera networks designed for monitoring fireballs worldwide were not fully automated, implying that in case of a meteorite fall, the recovery campaign was rarely immediate. This was an important limiting factor as the most fragile - hence precious - meteorites must be recovered rapidly to avoid their alteration. Aims. The Fireball Recovery and InterPlanetary Observation Network (FRIPON) scientific project was designed to overcome this limitation. This network comprises a fully automated camera and radio network deployed over a significant fraction of western Europe and a small fraction of Canada. As of today, it consists of 150 cameras and 25 European radio receiver…

DYNAMICS[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]MeteorsComputer scienceRadio receiver[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Surveys010502 geochemistry & geophysicsTrack (rail transport)01 natural sciencesMeteorites meteors meteoroidslaw.inventionPlanets and planetary system[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingMethods: observationallaw[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]meteoroids010303 astronomy & astrophysicsComputingMilieux_MISCELLANEOUSObservational methodsEarth and Planetary Astrophysics (astro-ph.EP)meteoroids -surveys -methods: observational -interplanetary medium[SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]ORIGIN[INFO.INFO-AO]Computer Science [cs]/Computer Arithmeticmeteorites meteors meteoroids – surveys – methods: observational – interplanetary mediumMeteoroidsRECOVERYORBITMeteoriteFully automatedInterplanetary medium; Meteorites meteors meteoroids; Methods: observational; Surveys[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Astrophysics - Instrumentation and Methods for Astrophysics[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingFLUXReal-time computingfripon[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]FOS: Physical sciencesContext (language use)CAMERA[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][SPI.AUTO]Engineering Sciences [physics]/Automatic[SDU.STU.PL]Sciences of the Universe [physics]/Earth Sciences/Planetology0103 physical sciencesFIREBALL NETWORKobservational [Methods]meteorsInstrumentation and Methods for Astrophysics (astro-ph.IM)0105 earth and related environmental sciencesMeteoroidINNISFREE METEORITE[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Astronomy and AstrophysicsMETEORITE FALLMeteorites meteors meteoroidCamera networkSpace and Planetary Science[SDU]Sciences of the Universe [physics]Interplanetary spaceflightmeteroids trackingmeteoroids - surveys - methods: observationalSYSTEMInterplanetary mediumAstrophysics - Earth and Planetary AstrophysicsMeteorites
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Analyzing big datasets of genomic sequences: fast and scalable collection of k-mer statistics

2019

Abstract Background Distributed approaches based on the MapReduce programming paradigm have started to be proposed in the Bioinformatics domain, due to the large amount of data produced by the next-generation sequencing techniques. However, the use of MapReduce and related Big Data technologies and frameworks (e.g., Apache Hadoop and Spark) does not necessarily produce satisfactory results, in terms of both efficiency and effectiveness. We discuss how the development of distributed and Big Data management technologies has affected the analysis of large datasets of biological sequences. Moreover, we show how the choice of different parameter configurations and the careful engineering of the …

Data AnalysisFOS: Computer and information sciencesTime FactorsTime FactorComputer scienceStatistics as TopicBig dataApache Spark; distributed computing; performance evaluation; k-mer countinglcsh:Computer applications to medicine. Medical informaticsBiochemistryDomain (software engineering)Databases03 medical and health sciences0302 clinical medicineStructural BiologyComputer clusterStatisticsSpark (mathematics)Molecular Biologylcsh:QH301-705.5030304 developmental biology0303 health sciencesGenomeSettore INF/01 - InformaticaBase SequenceNucleic AcidApache Sparkbusiness.industryResearchApache Spark; Distributed computing; k-mer counting; Performance evaluation; Algorithms; Base Sequence; Software; Time Factors; Data Analysis; Databases Nucleic Acid; Genome; Statistics as TopicApplied Mathematicsk-mer countingDistributed computingComputer Science ApplicationsAlgorithmData AnalysiComputer Science - Distributed Parallel and Cluster Computinglcsh:Biology (General)030220 oncology & carcinogenesisScalabilityPerformance evaluationlcsh:R858-859.7Algorithm designDistributed Parallel and Cluster Computing (cs.DC)Databases Nucleic AcidbusinessAlgorithmsSoftware
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Distributed Real-Time Sentiment Analysis for Big Data Social Streams

2014

Big data trend has enforced the data-centric systems to have continuous fast data streams. In recent years, real-time analytics on stream data has formed into a new research field, which aims to answer queries about "what-is-happening-now" with a negligible delay. The real challenge with real-time stream data processing is that it is impossible to store instances of data, and therefore online analytical algorithms are utilized. To perform real-time analytics, pre-processing of data should be performed in a way that only a short summary of stream is stored in main memory. In addition, due to high speed of arrival, average processing time for each instance of data should be in such a way that…

Data streamFOS: Computer and information sciencesComputer Science - Computation and LanguageComputer sciencebusiness.industryData stream miningSentiment analysisBig dataMachine Learning (stat.ML)Databases (cs.DB)Data structurecomputer.software_genreField (computer science)Computer Science - Information RetrievalTree (data structure)Computer Science - DatabasesComputer Science - Distributed Parallel and Cluster ComputingAnalyticsStatistics - Machine LearningData miningDistributed Parallel and Cluster Computing (cs.DC)businesscomputerComputation and Language (cs.CL)Information Retrieval (cs.IR)
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Toward fast and accurate emergency cases detection in BSNs

2020

International audience; In body sensor networks (BSNs), medical sensors capture physiological data from the human body and send them to the coordinator who act as a gateway to health care. The main aim of BSNs is to save peoples' lives. Therefore, fast and correct detection of emergencies while maintaining low-energy consumption of sensors is essential requirement of BSNs. In this study, the authors propose a new adaptive data sampling approach, where the sampling ratio is adapted based on the sensed data variation. The idea is to use the modified version of the cumulative sum (CUSUM) algorithm (modified CUSUM) that they previously proposed for wireless sensor networks to monitor the data v…

Data variabilityProperty (programming)Computer science010401 analytical chemistryReal-time computing020206 networking & telecommunicationsCUSUM02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]01 natural sciences[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationIndustrial and Manufacturing Engineering0104 chemical sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Data samplingSampling (signal processing)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Default gateway0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Wireless sensor network
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Etude numérique d'équations aux dérivées partielles non linéaires et dispersives

2011

Numerical analysis becomes a powerful resource in the study of partial differential equations (PDEs), allowing to illustrate existing theorems and find conjectures. By using sophisticated methods, questions which seem inaccessible before, like rapid oscillations or blow-up of solutions can be addressed in an approached way. Rapid oscillations in solutions are observed in dispersive PDEs without dissipation where solutions of the corresponding PDEs without dispersion present shocks. To solve numerically these oscillations, the use of efficient methods without using artificial numerical dissipation is necessary, in particular in the study of PDEs in some dimensions, done in this work. As stud…

Davey-Stewartson systems[ MATH.MATH-GM ] Mathematics [math]/General Mathematics [math.GM]equations dispersivesdispersive shocksexponential time-differencing[MATH.MATH-GM]Mathematics [math]/General Mathematics [math.GM][MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]spectral methodschocs dispersifsnumerical methodsdispersive equationsNo english keywordssplit stepschemas de decomposition d'operateursmethodes spectrales[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]Kadomtsev-Petviashvili equationintegrating factor methodparallel computing[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Pas de mot clé en français[MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM]methodes numeriquesblow upequation de Kadomtsev-PetviashviliIntegrateurs exponentielssystemes de Davey-Stewartsoncalcul parallele
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Random Slicing: Efficient and Scalable Data Placement for Large-Scale Storage Systems

2014

The ever-growing amount of data requires highly scalable storage solutions. The most flexible approach is to use storage pools that can be expanded and scaled down by adding or removing storage devices. To make this approach usable, it is necessary to provide a solution to locate data items in such a dynamic environment. This article presents and evaluates the Random Slicing strategy, which incorporates lessons learned from table-based, rule-based, and pseudo-randomized hashing strategies and is able to provide a simple and efficient strategy that scales up to handle exascale data. Random Slicing keeps a small table with information about previous storage system insert and remove operations…

DesignComputer scienceDistributed computingPerformancestorage managementHash function0102 computer and information sciences02 engineering and technologyParallel computingUSable01 natural sciencesSlicingrandomized data distributionAffordable and Clean Energy0202 electrical engineering electronic engineering information engineeringRandomnessExperimentationscalabilityPseudorandom number generatorbusiness.industry020206 networking & telecommunicationsReliabilityData FormatPRNG010201 computation theory & mathematicsHardware and ArchitectureComputer data storageScalabilityTable (database)businessNetworking & Telecommunications
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The Spirit of Inquiry and the Reflected Self: Theological Anthropology and the Sociology of Knowledge

1978

The general aim of an anthropology may be said to be the determination of man's characteristics in his environment. In social anthropology, however, the trend has been to emphasise the environment at the expense of man. The present article argues that a similar tendency prevails in theology's typical description of man as a ‘hearer’ of the Word of God and finds illuminating parallels in Berger and Luckmann's sociology of knowledge. The failure of these two authors to maintain a true dialectic between individual creativity and the formative influences of society appears in connection with their view of human inquiry. By developing George Kelly's model of man as an inquiring scientist, the ar…

DialecticAnthropologymedia_common.quotation_subjectReligious studiesSocial anthropologyCreativityFormative assessmentSociology of knowledgeSociologyTheologyDivine graceParallelsSocial structuremedia_commonScottish Journal of Theology
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Parallel laser micromachining based on diffractive optical elements with dispersion compensated femtosecond pulses

2013

We experimentally demonstrate multi-beam high spatial resolution laser micromachining with femtosecond pulses. The effects of chromatic aberrations as well as pulse stretching on the material processed due to diffraction were significantly mitigated by using a suited dispersion compensated module (DCM). This permits to increase the area of processing in a factor 3 in comparison with a conventional setup. Specifically, 52 blind holes have been drilled simultaneously onto a stainless steel sample with a 30 fs laser pulse in a parallel processing configuration.

DiffractionFemtosecond pulse shapingMaterials scienceChromatic aberrationElectromagnetic pulseDiffraction efficiencyEngineering controlled termsUltrashort pulseslaw.inventionOpticslawLaser micro-machiningChromatic aberrationParallel processingDispersionsElectromagnetic pulseHigh spatial resolutionbusiness.industryEngineering main headingLaserBlind holesAtomic and Molecular Physics and OpticsAberrationsPulse stretchingParallel processing (DSP implementation)Fs laser pulseFemtosecondbusinessOptics Express
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Transfer matrix method applied to the parallel assembly of sound absorbing materials

2013

International audience; The transfer matrix method (TMM) is used conventionally to predict the acoustic properties of laterally infinite homogeneous layers assembled in series to form a multilayer. In this work, a parallel assembly process of transfer matrices is used to model heterogeneous materials such as patchworks, acoustic mosaics, or a collection of acoustic elements in parallel. In this method, it is assumed that each parallel element can be modeled by a 2 × 2 transfer matrix, and no diffusion exists between elements. The resulting transfer matrix of the parallel assembly is also a 2 × 2 matrix that can be assembled in series with the classical TMM. The method is validated by compar…

Diffusion (acoustics)Materials scienceAcoustics and UltrasonicsDiscretizationSeries (mathematics)AcousticsTransfer-matrix method (optics)Mathematical analysis02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencesTransfer matrixFinite element methodMatrix (mathematics)[SPI]Engineering Sciences [physics]Arts and Humanities (miscellaneous)0103 physical sciences0210 nano-technology010301 acousticsParallel array
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Portable Video Supercomputing

2004

As inexpensive imaging chips and wireless telecommunications are incorporated into an increasing array, of portable products, the need for high efficiency, high throughput embedded processing will become an important challenge in computer architecture. Videocentric applications, such wireless videoconferencing, real-time video enhancement and analysis, and new, immersive modes of distance education, will exceed the computational capabilities of current microprocessor and digital signal processor (DSP) architectures. A new class of embedded computers, portable video supercomputers, will combine supercomputer performance with the energy efficiency required for deployment in portable systems. …

Digital signal processorComputer scienceData parallelismVideo processingSupercomputerTheoretical Computer ScienceMicroarchitectureMPEG encodinglaw.inventionMicroprocessorComputational Theory and MathematicsComputer architectureHardware and ArchitecturelawSIMDSoftware
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