Search results for " computing"

showing 10 items of 2075 documents

"Table 24" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

3-jet rate for the Jade Algorithm.

Computer Science::Multiagent Systems133.0E+ E- --> 3JETAstrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 23" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

2-jet rate for the Jade Algorithm.

Computer Science::Multiagent SystemsDijet Production133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionE+ E- --> 2JETCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 25" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

4-jet rate for the Jade Algorithm.

Computer Science::Multiagent SystemsE+ E- --> 4JET133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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"Table 26" of "Measurement of event shape and inclusive distributions at s**(1/2) = 130-GeV and 136-GeV."

1997

5-jet rate for the Jade Algorithm.

Computer Science::Multiagent SystemsE+ E- --> 5JET133.0Astrophysics::High Energy Astrophysical PhenomenaE+ E- ScatteringIntegrated Cross SectionExclusiveHigh Energy Physics::ExperimentJet ProductionCross SectionSIGComputer Science::Distributed Parallel and Cluster Computing
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Categories, Quantum Computing, and Swarm Robotics: A Case Study

2022

The swarms of robots are examples of artificial collective intelligence, with simple individual autonomous behavior and emerging swarm effect to accomplish even complex tasks. Modeling approaches for robotic swarm development is one of the main challenges in this field of research. Here, we present a robot-instantiated theoretical framework and a quantitative worked-out example. Aiming to build up a general model, we first sketch a diagrammatic classification of swarms relating ideal swarms to existing implementations, inspired by category theory. Then, we propose a matrix representation to relate local and global behaviors in a swarm, with diagonal sub-matrices describing individual featur…

Computer Science::RoboticsSwarm roboticsswarm robotics; quantum computing; 4-qubit system; matrix representation; colimitGeneral MathematicsColimitQA1-939Computer Science (miscellaneous)4-qubit systemQuantum computingMatrix representationEngineering (miscellaneous)MathematicsMathematics
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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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EvoStar 2019: Bio-Inspired Computing and Automation

2020

Computer architectureControl and Systems Engineeringbusiness.industryComputer scienceElectrical and Electronic EngineeringBio-inspired computingbusinessAutomationComputer Science Applicationsat - Automatisierungstechnik
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Performance improvements of real-time crowd simulations

2010

The current challenge for crowd simulations is the design and development of a scalable system that is capable of simulating the individual behavior of millions of complex agents populating large scale virtual worlds with a good frame rate. In order to overcome this challenge, this thesis proposes different improvements for crowd simulations. Concretely, we propose a distributed software architecture that can take advantage of the existing distributed and multi-core architectures. In turn, the use of these distributed architectures requires partitioning strategies and workload balancing techniques for distributed crowd simulations. Also, these architectures allow the use of GPUs not only fo…

Computer graphicsMulti-core processorComputer scienceVirtual machineSoftware agentServerDistributed computingReal-time computingcomputer.software_genreSoftware architectureMetaversecomputerRendering (computer graphics)2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)
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Collaborative body sensor networks: Taxonomy and open challenges

2018

International audience; Single Body Sensor Networks (BSNs) have gained a lot of interest during the past few years. However, the need to monitor the activity of many individuals to assess the group status and take action accordingly has created a new research domain called Collaborative Body Sensor Network (CBSN). In such a new field, understanding CBSN's concept and challenges over the roots requires investigation to allow the development of suitable algorithms and protocols. Although there are many research studies in BSN, CBSN is still in its early phases and studies around it are very few. In this paper, we define and taxonomize CBSN, describe its architecture, and discuss its applicati…

Computer science010401 analytical chemistry[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation01 natural sciencesData science0104 chemical sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Open research[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]0202 electrical engineering electronic engineering information engineeringResearch studies[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processing[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]ArchitectureWireless sensor network2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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Teletraffic Engineering for Direct Load Control in Smart Grids

2018

International audience; The traditional paradigm for power grid operation is to continuously adapt energy production to demand. This paradigm is challenged by the increasing penetration of renewable sources, that are more variable and less predictable. An alternative approach is the direct load control of some inherently flexible electric loads to shape the demand. Direct control of deferrable loads presents analogies with flow admission control in telecommunication networks: a request for network resources (bandwidth or energy) can be delayed on the basis of the current network status in order to guarantee some performance metrics. In this paper we go beyond such an analogy, showing that u…

Computer science020209 energyDistributed computingDirect controlEnergy Engineering and Power Technology02 engineering and technologySmart gridAdmission control; Direct load control; Privacy; Smart grid;7. Clean energyTeletraffic engineering[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]0202 electrical engineering electronic engineering information engineeringPower gridElectrical and Electronic EngineeringDirect load controlLeakage (electronics)Direct Load Controlbusiness.industryRenewable Energy Sustainability and the EnvironmentSettore ING-INF/03 - TelecomunicazioniBandwidth (signal processing)Admission Control[SPI.NRJ]Engineering Sciences [physics]/Electric powerAdmission controlRenewable energySmart gridControl and Systems EngineeringPrivacybusinessAdmission control
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