Search results for "Computer architecture"

showing 10 items of 191 documents

Mathematical modelling of physical phenomena

1996

The word “physics” is derived from the Greek “fysis” which means nature. Physics investigates fundamental natural phenomena and thus physical knowledge has a very general character. This is also the reason why physics penetrates other areas including electrical engineering.

Character (mathematics)Physical phenomenaNatural (music)Statistical physicsWord (computer architecture)Volume density
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The expressive power of the shuffle product

2010

International audience; There is an increasing interest in the shuffle product on formal languages, mainly because it is a standard tool for modeling process algebras. It still remains a mysterious operation on regular languages.Antonio Restivo proposed as a challenge to characterize the smallest class of languages containing the singletons and closed under Boolean operations, product and shuffle. This problem is still widely open, but we present some partial results on it. We also study some other smaller classes, including the smallest class containing the languages composed of a single word of length 2 which is closed under Boolean operations and shuffle by a letter (resp. shuffle by a l…

Class (set theory)Computer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0102 computer and information sciences02 engineering and technologyStar (graph theory)01 natural sciencesExpressive powerTheoretical Computer ScienceRegular languageFormal language0202 electrical engineering electronic engineering information engineeringArithmeticAlgebraic numberComputingMilieux_MISCELLANEOUSDiscrete mathematicsComputer Science Applicationsshuffle operatorComputational Theory and Mathematics010201 computation theory & mathematicsProduct (mathematics)Formal language020201 artificial intelligence & image processingBoolean operations in computer-aided designWord (computer architecture)Information Systems
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New Technology, Writing And Learning

2001

The participants involved in most previous studies on writing have written their texts by hand but writing with the aid of a computer is much more prevalent today. This chapter specifically examines the effects of new technology on writing and, by implication, on writing to learn, and presents examples how technology has created new possibilities for using writing for purposes of learning. The chapter is divided into four main parts. Part one briefly introduces the chapter. Part two considers the nature of writing in terms of interactions between planning, writing and editing. Part three examines how computer aided writing changes these processes. Here individual and collaborative writing a…

Collaborative writingComputer scienceComputer-aidedEducational technologyMathematics educationComputer basedExperiential learningElectronic mailWord (computer architecture)Learning sciences
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Forbidden Factors and Fragment Assembly

2001

In this paper methods and results related to the notion of minimal forbidden words are applied to the fragment assembly problem. The fragment assembly problem can be formulated, in its simplest form, as follows: reconstruct a word w from a given set I of substrings (fragments ) of a word w . We introduce an hypothesis involving the set of fragments I and the maximal length m(w) of the minimal forbidden factors of w . Such hypothesis allows us to reconstruct uniquely the word w from the set I in linear time. We prove also that, if w is a word randomly generated by a memoryless source with identical symbol probabilities, m(w) is logarithmic with respect to the size of w . This result shows th…

CombinatoricsSet (abstract data type)Fragment (logic)LogarithmDeterministic automatonSymbol (programming)General MathematicsTime complexitySoftwareWord (computer architecture)SubstringComputer Science ApplicationsMathematicsRAIRO - Theoretical Informatics and Applications
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Null Effect of Set Size in Lexical Decision

1995

The effect of set size indicates that recall of a word is greater when its cue is associated with fewer words. This study was designed to replicate this result with lexical decisions of 18 students. In spite of obtaining the set-size effect with cue recall, it was not observed with lexical decision.

CommunicationRecallbusiness.industryNull (mathematics)Experimental and Cognitive PsychologyReplicatecomputer.software_genreSensory SystemsSpiteLexical decision taskArtificial intelligenceSet (psychology)businesscomputerNatural language processingWord (computer architecture)MathematicsPerceptual and Motor Skills
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SAGECELL: Software-Defined Space-Air-Ground Integrated Moving Cells

2018

Ultra-dense networks (UDNs) provide an effective solution to accommodate the explosively growing data traffic of multimedia services and real-time applications. However, the densification of large numbers of static small cells faces many fundamental challenges, including deployment cost, energy consumption and control, and so on. This motivates us to develop software-defined space-air-ground integrated moving cells (SAGECELL), a programmable, scalable, and flexible framework to integrate space, air, and ground resources for matching dynamic traffic demands with network capacity supplies. First, we provide a comprehensive review of state-of-the-art literature. Then the conceptual architectur…

Computer Networks and CommunicationsComputer scienceDistributed computingInteroperability02 engineering and technologyaerospace electronics0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringresource managementResource managementcomputer architecturevirtual machine monitorsElectrical and Electronic Engineeringta113Flexibility (engineering)ta213Quality of service020206 networking & telecommunications020302 automobile design & engineeringEnergy consumptionmiehittämättömät ilma-aluksetConceptual architectureComputer Science ApplicationsSoftware deploymentScalabilityquality of serviceunmanned aerial vehicleslangattomat verkotIEEE Communications Magazine
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Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

2020

ABSTRACTIn contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the correct sequence of outputs in the presence of a series of inputs. This suggests that something important is missing in the way in which models are trying to reproduce basic cognitive functions. In this work, we introduce a new neuronal network architecture that is able to learn, in a single trial, an arbitrary long sequence of any known objects. The key point of the model is the explicit use of mechanisms and circuitry observed in the hippocampus, which allow the model to reach a level of efficiency and accuracy that, to the best of our…

Computer Networks and CommunicationsComputer scienceModels NeurologicalHippocampusAction PotentialsBrain modeling; Computer architecture; Hippocampus; Learning systems; Microprocessors; Navigation; Neurons; Persistent firing (PF); robot navigation; spike-timing-dependent-plasticity synapse; spiking neurons.Hippocampal formationHippocampus03 medical and health sciences0302 clinical medicineArtificial IntelligenceBiological neural network030304 developmental biologyNeurons0303 health sciencesSequenceSeries (mathematics)business.industryBasic cognitive functionsContrast (statistics)CognitionComputer Science ApplicationsSequence learningArtificial intelligenceNeural Networks ComputerbusinessSoftware030217 neurology & neurosurgeryIEEE transactions on neural networks and learning systems
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Multiprocessor SoC Implementation of Neural Network Training on FPGA

2008

Software implementations of artificial neural networks (ANNs) and their training on a sequential processor are inefficient because they do not take advantage of parallelism. ASIC and FPGA implementations employ specific hardware structures to exploit parallelism in order to improve processing speed; however, optimizing resource usage requires the use of fixed-point arithmetic, thereby losing precision, and the final system is restricted to a particular network topology. This paper presents a mixed approach based on a multiprocessor system-on-chip (SoC) on a FPGA. The use of software-driven embedded microprocessors with custom floating-point extensions for ANN related functions allows for gr…

Computer Science::Hardware ArchitectureComputer architectureApplication-specific integrated circuitComputer scienceControl reconfigurationSystem on a chipMultiprocessingField-programmable gate arrayNetwork topologyFixed-point arithmeticFPGA prototype2008 International Conference on Advances in Electronics and Micro-electronics
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DRESS: A Distributed RMS Evaluation Simulation Software

2020

Distributed environments consist of a huge number of entities that cooperate to achieve complex goals. When interactions occur between unknown parties, intelligent techniques for estimating agent reputations are required. Reputation management systems (RMS's) allow agents to perform such estimation in a cooperative way. In particular, distributed RMS's exploit feedbacks provided after each interaction and allow prediction of future behaviors of agents. Such systems, in contrast to centralized RMSs, are sensitive to fake information injected by malicious users; thus, predicting the performance of a distributed RMS is a very challenging task. Although many existing works have addressed some c…

Computer architectureComputer scienceAgent-based Simulation Multi-agent Systems Distributed RMSs020204 information systemsMulti-agent system0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingDecision Sciences (miscellaneous)02 engineering and technologycomputer.software_genrecomputerInformation SystemsSimulation softwareInternational Journal of Intelligent Information Technologies
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A GPU-Based DVC to H.264/AVC Transcoder

2010

Mobile to mobile video conferencing is one of the services that the newest mobile network operators can offer to users With the apparition of the distributed video coding paradigm which moves the majority of complexity from the encoder to the decoder, this offering can be achieved by introducing a transcoder This device has to convert from the distributed video coding paradigm to traditional video coding such as H.264/AVC which is formed by simpler decoders and more complex encoders, and allows to the users to execute only the low complex algorithms In order to deal with this high complex video transcoder, this paper introduces a graphics processing unit based transcoder as base station The…

Computer architectureComputer scienceVideo trackingReal-time computingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONData_CODINGANDINFORMATIONTHEORYVideo processingMultiview Video CodingCoding tree unitEncoderContext-adaptive binary arithmetic codingScalable Video CodingVideo compression picture types
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