Search results for "resource"

showing 10 items of 4058 documents

A spatial role-based authorization framework for sensor network-assisted indoor WLANs

2009

©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Article also available from publisher: http://dx.doi.org/10.1109/WIRELESSVITAE.2009.5172549 In this paper, we propose a spatial role-based authorization framework which specifies authorization based on both role and location constrains in a wireless local area network with assistance from a sensor network. The framework performs a location-restricted verificati…

business.industryComputer scienceData securityPermissionlaw.inventionResource (project management)lawServerVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Wi-FiMobile telephonybusinessWireless sensor networkFormal verificationComputer network2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology
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On Unstructured File Sharing Networks

2007

We study the interaction among users of unstructured file sharing applications, who compete for available network resources (link bandwidth or capacity) by opening multiple connections on multiple paths so as to accelerate data transfer. We model this interaction with an unstructured file sharing game. Users are players and their strategies are the numbers of sessions on available paths. We consider a general bandwidth sharing framework proposed by Kelly [1] and Mo and Walrand [2], with TCP as a special case. Furthermore, we incorporate the Tit-for-Tat strategy (adopted by BitTorrent [3] networks) into the unstructured file sharing game to model the competition in which a connection can be …

business.industryComputer scienceDistributed computingcomputer.file_formatTit for tatsymbols.namesakeBandwidth allocationFile sharingNash equilibriumsymbolsResource allocationThe InternetbusinessBitTorrentcomputerGame theoryComputer network
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5G V2V Communication With Antenna Selection Based on Context Awareness: Signaling and Performance Study

2022

Enhanced vehicle-to-everything (eV2X) communication is one of the key challenges to be addressed by the fifth generation (5G) of cellular mobile communications. In particular, eV2X includes some 5G vehicular applications targeting fully autonomous driving which require ultra-high reliability. Although vehicular communications are by default assumed between single antennas located on the roof of the transmitter and receiver vehicles, prior art has shown that there are other antenna positions more suitable for V2X communication, depending on the specific communication context. Antenna selection can be used in this case to select one specific antenna or a subset of them better suited for a cer…

business.industryComputer scienceMechanical EngineeringTransmitterContext (language use)Radio Resource ControlComputer Science ApplicationsAutomotive EngineeringContext awarenessOverhead (computing)Mobile telephonyRadio resource managementAntenna (radio)businessComputer networkIEEE Transactions on Intelligent Transportation Systems
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A simulation study of load balancing algorithms in cellular packet networks

2001

This paper provides a comparative performance evaluation of various load balancing schemes in cellular packet networks. With respect to traditional schemes, that measure each cell load in terms of number of admitted calls, our schemes use supplementary packet level information, expressed in terms of effective resource consumption of each individual call when retransmission mechanisms are employed. The simulation model adopted is based on a toroidal cellular network topology, to avoid border effects affecting the numerical results.

business.industryComputer scienceNetwork packetDistributed computingRetransmissionCellular networkLoad balancing (computing)Resource consumptionbusinessComputer network
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Face Processing on Low-Power Devices

2009

The research on embedded vision-based techniques is considered nowadays as one of the most interesting matters of computer vision. In this work we address the scenario in which a real-time face processing system is needed to monitor people walking through some locations. Some face detection (e.g., Viola-Jones face detector) and face recognition (e.g., eigenfaces) approaches have reached a certain level of maturity, so we focused on the development of such techniques on embedded systems taking into account both hardware and software constraints. Our goal is to detect the presence of some known individuals inside some sensitive areas producing a compact description of the observed people. Cap…

business.industryComputer scienceNode (networking)Real-time computingFacial recognition systemSoftwareEigenfaceEmbedded systemScalabilityResource allocation (computer)businessFace detectionWireless sensor networkface recognition embedded devices
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Channel Occupancy-Based Dynamic Spectrum Leasing in Multichannel CRNs: Strategies and Performance Evaluation

2016

Spectrum leasing has been proposed as an effective approach for enabling more flexible spectrum utilization in CRNs. In CRNs, a primary network (PN) which consists of multiple primary users (PUs) can lease part of the licensed spectrum to secondary users (SUs) in exchange for operational benefits. The focus of this study is to investigate how and to what extent the PN allows spectrum leasing in CRNs, considering the QoS requirements of the PN and the secondary network (SN). Correspondingly, we propose two dynamic spectrum leasing strategies, which can improve the QoS performance of SUs while ensuring sufficient remuneration for PUs. In order to dynamically adjust the portion of leased bandw…

business.industryComputer scienceQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSComputerApplications_COMPUTERSINOTHERSYSTEMS020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologyBlocking (statistics)Cognitive radioDigital subscriber line0203 mechanical engineeringDynamic pricing0202 electrical engineering electronic engineering information engineeringResource allocationNetwork performanceElectrical and Electronic EngineeringbusinessSimulationComputer networkIEEE Transactions on Communications
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Methods for Modeling Ecosystem Services: A Review

2015

Abstract Modeling ecosystem services (ES) is an essential tool for the development of strategies that will ensure their future supply, provision and quantification. Given the rapid development in this area of research, a review of the different approaches used to model ES was performed, using an analytical framework based on five criteria for comparing the existing methodological approaches: the types of ES, availability of data sources, spatial scale, types of models used and the possible outcomes of the models. Regulating services were the most commonly modeled, followed by provisioning, cultural, and supporting services. The most frequently used data for modeling were secondary data (alr…

business.industryComputer scienceScale (chemistry)Environmental resource managementMillennium Ecosystem AssessmentSpatial ecologyProvisioningScientific literaturebusinessBusiness managementData scienceEcosystem servicesManagement of Sustainable Development
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Automated quality control of next generation sequencing data using machine learning

2019

AbstractControlling quality of next generation sequencing (NGS) data files is a necessary but complex task. To address this problem, we statistically characterized common NGS quality features and developed a novel quality control procedure involving tree-based and deep learning classification algorithms. Predictive models, validated on internal data and external disease diagnostic datasets, are to some extent generalizable to data from unseen species. The derived statistical guidelines and predictive models represent a valuable resource for users of NGS data to better understand quality issues and perform automatic quality control. Our guidelines and software are available at the following …

business.industryComputer sciencemedia_common.quotation_subjectDeep learningMachine learningcomputer.software_genreDNA sequencingStatistical classificationTree (data structure)Task (computing)SoftwareResource (project management)Data fileQuality (business)Artificial intelligencebusinesscomputermedia_common
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La investigación en Ciencias Laborales como una nueva dimensión del alumnado universitario. Una experiencia innovadora

2016

Profesorado del Grado de Relaciones Laborales y Recursos Humanos de la Universitat de València, se planteó en el curso 2013-2014, y dado que la titulación había pasado de Diplomatura a Grado, la necesidad de fomentar entre el alumnado la orientación investigadora, opción hasta dicho momento difícil de desarrollar. Por eso, a través del desarrollo del proyecto de innovación en dicho curso «Medios para la difusión de resultados de investigaciones en Ciencias Laborales», se creó una web (http://inveslab.blogs.uv.es/) en la que se recogieron los resultados obtenidos del mismo, un repositorio con los medios existentes para la difusión de los resultados de investigaciones en Ciencias Laborales. T…

business.industryConstitutionmedia_common.quotation_subjectRelaciones Laborales y Recursos Humanosred de innovación docenteBachelorComplementarity (physics)Innovación docenteLabor relationsCiencias LaboralesWork (electrical)Relacions laboralsPedagogyField researchSociologyHuman resourcesbusinessmedia_common
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Improving big-data automotive applications performance through adaptive resource allocation

2019

In automotive applications, connected vehicles (CVs) can collect various information (external temperature, speed, location, etc.) and send them to a central infrastructure for exploitation in a wide range of applications: Eco-Driving, fleet management, environmental monitoring, etc. Such applications are known to generate a massive volume of data that is processed in real or near real time (i.e., data streams) depending on the target application requirements. To handle this data volume, big data architectures, based on stream computing paradigm, are usually adopted. Within this paradigm, data are continuously processed by a set of operators (elementary operations) instances. Further, a str…

business.industryData stream miningData parallelismComputer scienceDistributed computingStreamBig dataAutomotive industry02 engineering and technologyDirected graph020204 information systems0202 electrical engineering electronic engineering information engineeringResource allocationTuplebusiness2019 IEEE Symposium on Computers and Communications (ISCC)
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