Search results for " computing"

showing 10 items of 2075 documents

Priority Levels Based Multi-hop Broadcasting Method for Vehicular Ad hoc Networks

2015

International audience; This paper deals with broadcasting problem in vehicular ad hoc networks (VANETs). This communication mode is commonly used for sending safety messages and traffic information. However, designing an efficient broadcasting protocol is hard to achieve since it has to take into account some parameters related to the network environment, for example, the network density, in order to avoid causing radio interferences. In this paper, we propose a novel Autonomic Dissemination Method (ADM) which delivers messages in accordance with given priority and density levels. The proposed approach is based on two steps: an offline optimization process and an adaptation to the network …

Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesOptimizationVANETWireless ad hoc networkbusiness.industryComputer science[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Autonomic computingQuality of ServiceMessage priority levelAutonomic computingHop (networking)Computer Science - Networking and Internet ArchitectureDensity evaluation[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Electrical and Electronic EngineeringbusinessComputer networkBroadcast
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Bandwidth Resource Management for Neural Signal Telemetry

2009

Recent advances in modern neurocomputing have shown the utmost necessity of wireless communication systems that allow real-time (RT) monitoring of neural signals meeting several requirements such as source compression and high fidelity of the received signal. Neural recordings require multielectrode probes with up to hundreds of electrodes and transmission of signals wirelessly over a limited bandwidth (BW). In this paper, a RT resource management algorithm is proposed so that adequate source compression is applied to each channel in order to fit them into the available BW. Performance of the algorithm is analyzed using dynamically changing BW and neural recordings with different neural act…

NeuronsComputer scienceModels NeurologicalReal-time computingSignal Processing Computer-AssistedGeneral MedicineSignalRatsComputer Science ApplicationsBandwidth allocationTransmission (telecommunications)Bandwidth (computing)AnimalsTelemetryResource allocationAlgorithm designElectrical and Electronic EngineeringAlgorithmsCells CulturedMonitoring PhysiologicBiotechnologyData compressionCommunication channelIEEE Transactions on Information Technology in Biomedicine
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Cycle-triggered averaging of respiration-related neuronal activity

1985

Abstract A computer system is presented which provides off-line computation of cycle-triggered histograms (CTH) of respiration-related neuronal activity. Binwidths of the histograms are freely selectable by software from 10 ms to 100 ms. For special evaluation purposes. CTHs can be standardized in different ways concerning cycle duration as well as amplitude. Time incidence of maximum frequency, center of gravity and expiration-to-inspiration phase transition within the respiratory cycle are computed. The system employs special hardware interfaces to an 8-bit microcomputer which are briefly described. Data acquisition, data manipulation and output handling of the results are performed by ch…

NeuronsSignal processingComputersComputer sciencebusiness.industryRespirationData manipulation languageRespiratory SystemReal-time computingMedicine (miscellaneous)computer.software_genreElectrophysiologyPhrenic NerveSoftwareData acquisitionMicrocomputerHistogramChainingRespiratory Physiological PhenomenaAnimalsCompilerbusinessAlgorithmcomputerSoftwareComputer Programs in Biomedicine
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Analysis of data fusion techniques for multi-microphone audio event detection in adverse environments

2017

Acoustic event detection (AED) is currently a very active research area with multiple applications in the development of smart acoustic spaces. In this context, the advances brought by Internet of Things (IoT) platforms where multiple distributed microphones are available have also contributed to this interest. In such scenarios, the use of data fusion techniques merging information from several sensors becomes an important aspect in the design of multi-microphone AED systems. In this paper, we present a preliminary analysis of several data-fusion techniques aimed at improving the recognition accuracy of an AED system by taking advantage of the diversity provided by multiple microphones in …

Noise measurementEvent (computing)MicrophoneComputer scienceReal-time computingFeature extractionContext (language use)02 engineering and technologycomputer.software_genreSensor fusion030507 speech-language pathology & audiology03 medical and health sciences0202 electrical engineering electronic engineering information engineeringData analysis020201 artificial intelligence & image processing0305 other medical sciencecomputerData integration2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)
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Impulse noise removal on an embedded, low memory SIMD processor

2003

Vector median filters efficiently reduce noise while preserving image details. However, their high computational complexity for color images makes them impractical for real-time systems. We propose new computationally efficient filtering algorithms, called index mapping filters (IMF). These filtering algorithms are accelerated by implementing them on a massively data parallel processor array. In addition to greater computational efficiency, these algorithms result in robust noise reduction of corrupted color images. Analyses of mean square error, signal-to-noise-ratio, and visual comparison metrics indicate that IMF are competitive with the vector median filter (VMF) in their ability to cor…

NoiseIndex mappingComputer scienceColor imageNoise reductionReal-time computingMedian filterFilter (signal processing)SIMDImpulse noiseAlgorithm2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)
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"Table 1" of "Search for a heavy top-quark partner in final states with two leptons with the ATLAS detector at the LHC"

2012

(1) Number of generated MC events for the scalar top signal grid (2) Relative Cross section uncertainties for the scalar top signal grid.

Nonlinear Sciences::Chaotic DynamicsInclusiveNonlinear Sciences::Exactly Solvable and Integrable SystemsProton-Proton ScatteringPhysics::Atomic and Molecular ClustersTop7000.0Jet ProductionNP P --> 2LEPTON JETS XComputer Science::Distributed Parallel and Cluster ComputingComputer Science::Computers and Society
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Advances in photonic reservoir computing

2017

We review a novel paradigm that has emerged in analogue neuromorphic optical computing. The goal is to implement a reservoir computer in optics, where information is encoded in the intensity and phase of the optical field. Reservoir computing is a bio-inspired approach especially suited for processing time-dependent information. The reservoir’s complex and high-dimensional transient response to the input signal is capable of universal computation. The reservoir does not need to be trained, which makes it very well suited for optics. As such, much of the promise of photonic reservoirs lies in their minimal hardware requirements, a tremendous advantage over other hardware-intensive neural net…

Nonlinear opticsQC1-99942.55.pxAnalogue computingMathematicsofComputing_NUMERICALANALYSISOptical computing05.45.-a02 engineering and technologyEuropean Social Fund01 natural sciences020210 optoelectronics & photonics42.79.ta0103 physical sciences0202 electrical engineering electronic engineering information engineeringOptical computing07.05.mh85.60.-qElectrical and Electronic Engineering010306 general physics[PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]Artificial neural networksPhysicsnonlinear opticsReservoir computing42.79.hpanalogue computingAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic Materials42.65.-kEngineering managementWork (electrical)Research counciloptical computingScience policy42.82.-martificial neural networksBiotechnologyNanophotonics
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Notice of Violation of IEEE Publication Principles<BR>An adaptive routing mechanism for P2P resource discovery

2005

The key to the usability of large-scale decentralize peer-to-peer (P2P) systems, and one of the most challenge design aspects, is efficient mechanism for distributed resource discovery. Unstructured P2P networks are very attractive because they do not suffer the limitations of centralized systems an the drawbacks of highly structured approaches. However the search algorithms are usually based on simple flooding scheme generating large loads on the network participants. In this paper to address this major limitation, we present the design an evaluation of an innovative searching protocol in unstructured P2P networks. The approach aims at dynamically adapting the network topology to peers' in…

NoticeExploitbusiness.industryComputer scienceDistributed computingUsabilityNetwork topologycomputer.software_genreFlooding (computer networking)Grid computingSearch algorithmbusinessSelection algorithmcomputerComputer networkCCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005.
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The Argo YBJ daq system and the GRID based data transfer

2008

The Argo-YBJ experiment has now reached itsfinal design configuration. The detector system consists of a fullcoverage array (about 5800 square meters) of Resistive PlateChambers (RPCs). The throughput depends on the trigger rateand threshold. The DAQ system must be able to sustain a max-imum transfer rate of the order of 15 MB/s and a high peakdata flow. Data are read out using a typical front-end acquisitionchain built around a custom bus. Specialized electronics have beendesigned and dedicated software has been written to perform thistask. Data are sent to the online farm through a switch exploitinga gigabit ethernet protocol. A solution to transfer data from theYBJ laboratory to the labo…

Nuclear and High Energy PhysicsEngineeringbusiness.industryGigabit Ethernetcomputer.software_genreGridData flow diagramData acquisitionNuclear Energy and EngineeringGrid computingNuclear electronicsData acquisition data mover GRID RPCElectrical and Electronic EngineeringbusinessThroughput (business)computerComputer hardwareData transmission
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Implementation and performance of the third level muon trigger of the ATLAS experiment at LHC

2006

The trigger system of the ATLAS experiment at the LHC aims at a high selectivity in order to keep the full physics potential while reducing the 40 MHz initial event rate imposed by the LHC bunch crossing down to /spl sim/100 Hz, as required by the data acquisition system. Algorithms working in the final stage of the trigger environment (Event Filter) are implemented to run both in a "wrapped" mode (reconstructing tracks in the entire Muon Spectrometer) and in a "seeded" mode (according to a dedicated strategy that performs pattern recognition only in regions of the detector where trigger hypotheses have been produced at earlier stages). The working principles of the offline muon reconstruct…

Nuclear and High Energy PhysicsParticle physicsHLTPhysics::Instrumentation and DetectorsMuonReal-time computingevent filter01 natural sciencesData acquisitionAtlas (anatomy)0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]medicineElectrical and Electronic EngineeringDiscrete event simulationDetectors and Experimental TechniquesPhysicsMuonsLarge Hadron Collider010308 nuclear & particles physicsEvent (computing)DetectorATLAS experimentMuons.ATLASTriggermedicine.anatomical_structureNuclear Energy and EngineeringFilter (video)Event Filter
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