Search results for "Distributed"

showing 10 items of 1260 documents

Scheduling Domestic Shiftable Loads in Smart Grids: A Learning Automata-Based Scheme

2017

In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, using a novel distributed game-theoretic framework. From a modeling perspective, the distributed scheduling problem is formulated as a game, and in particular, a so-called “Potential” game. This game has at least one pure strategy Nash Equilibrium (NE), and we demonstrate that the NE point is a global optimal point. The solution that we propose, which is the pioneering solution that incorporates the theory of Learning Automata (LA), permits the total supplied loads to approach the p…

Learning automataJob shop schedulingComputer scienceDistributed computing02 engineering and technology010501 environmental sciences01 natural sciencesSubnetScheduling (computing)symbols.namesakeSmart gridStrategyNash equilibrium0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingPotential game0105 earth and related environmental sciences
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A nested virtualization tool for information technology practical education

2016

Background A common problem of some information technology courses is the difficulty of providing practical exercises. Although different approaches have been followed to solve this problem, it is still an open issue, specially in security and computer network courses. Results This paper proposes NETinVM, a tool based on nested virtualization that includes a fully functional lab, comprising several computers and networks, in a single virtual machine. It also analyzes and evaluates how it has been used in different teaching environments. Conclusions The results show that this tool makes it possible to perform demos, labs and practical exercises, greatly appreciated by the students, that woul…

Lecture-based learningNetwork securityComputer scienceProblem-based learningDistributed computingNested virtualization02 engineering and technologyMultidisciplinary approach020204 information systems0202 electrical engineering electronic engineering information engineeringComputingMilieux_COMPUTERSANDEDUCATIONComputer networksSystem administrationMultidisciplinarybusiness.industry05 social sciences050301 educationInformation technologyNetwork securityNested virtualizationProblem-based learningSystem administrationbusinessSoftware engineering0503 educationSoftwareSpringerPlus
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Characterizing the Invasive Tumor Front of Aggressive Uterine Adenocarcinoma and Leiomyosarcoma

2021

The invasive tumor front (the tumor–host interface) is vitally important in malignant cell progression and metastasis. Tumor cell interactions with resident and infiltrating host cells and with the surrounding extracellular matrix and secreted factors ultimately determine the fate of the tumor. Herein we focus on the invasive tumor front, making an in-depth characterization of reticular fiber scaffolding, infiltrating immune cells, gene expression, and epigenetic profiles of classified aggressive primary uterine adenocarcinomas (24 patients) and leiomyosarcomas (11 patients). Sections of formalin-fixed samples before and after microdissection were scanned and studied. Reticular fiber archit…

LeiomyosarcomaReticular fiberreticular fibersÚter - TumorsQH301-705.5Músculs - Càncer:neoplasias::neoplasias por localización::neoplasias urogenitales::neoplasias de los genitales femeninos::neoplasias uterinas [ENFERMEDADES]extracellular matrix:factores biológicos::biomarcadores::marcadores tumorales [COMPUESTOS QUÍMICOS Y DROGAS]:Neoplasms::Neoplasms by Site::Urogenital Neoplasms::Genital Neoplasms Female::Uterine Neoplasms [DISEASES]BiologyMetastasisMetastasisCell and Developmental BiologyImmune system:neoplasias::neoplasias por tipo histológico::neoplasias de tejido conjuntivo y de tejidos blandos::neoplasias de tejido muscular::leiomiosarcoma [ENFERMEDADES]Càncer d'úterimmune cellsTumor-host interfaceMetàstasimedicineUterine cancer:Neoplasms::Neoplasms by Histologic Type::Neoplasms Connective and Soft Tissue::Neoplasms Muscle Tissue::Leiomyosarcoma [DISEASES]tumor microenvironment:Biological Factors::Biomarkers::Biomarkers Tumor [CHEMICALS AND DRUGS]Biology (General)epigenetic profilesMicrodissectionAntimicrobial humoral responseOriginal ResearchTumor microenvironmentMarcadors tumoralsImmune cellsEpigenetic profilesCell BiologyExtracellular matrixmedicine.diseaseEpigenèticaTumor microenvironmentReticular connective tissueCancer researchgene expressionEpigeneticsGene expressionThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)Reticular fiberstumor-host interfaceDevelopmental BiologyFrontiers in Cell and Developmental Biology
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Development of a low-cost IoT system to detect and locate lightning strikes

2020

Lightnings are violent natural phenomena and can generate many expenditures, specially when they strike in urban areas. The identification of the concrete geographic area where they strike is of critical importance for emergency services in order to enhance their effectiveness by doing an intensive coverage of the affected area. To achieve this aim, this paper proposes a design, prototype and validation of a distributed network of Internet of Things (IoT) devices to enable detection and location of lightning strikes. The IoT devices are empowered with lightning detection capabilities and are synchronized with the other devices in the sensor network. All of them cooperate within a network th…

Lightning detection020203 distributed computingbusiness.industryComputer scienceMesh networkingBig dataReal-time computing02 engineering and technologylaw.inventionLightning strikeIdentification (information)lawRange (aeronautics)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessTrilaterationWireless sensor networkProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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Dynamic Computation Offloading Scheme for Fog Computing System with Energy Harvesting Devices

2020

Fog computing is considered as a promising technology to meet the ever-increasing computation requests from a wide variety of mobile applications. By offloading the computation-intensive requests to the fog node or the central cloud, the performance of the applications, such as energy consumption and delay, are able to be significantly enhanced. Meanwhile, utilizing the recent advances of social network and energy harvesting techniques, the system performance could be further improved. In this paper, we take the social relationships of the energy harvesting MDs into the design of computational offloading scheme in fog computing. With the objective to minimize the social group execution cost…

Line searchbusiness.industryComputer scienceDistributed computingComputationNode (networking)Computation offloadingPenalty methodCloud computingEnergy consumptionbusinessEnergy harvesting
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Is TCP Packet Reordering Always Harmful?

2004

IP networks do not provide any guarantee that packets belonging to the same flow are delivered in the correct order. Out-of-order reception of packets was commonly considered due to pathological network conditions (such as link failures, etc.). However, it has been shown that packet reordering is a phenomenon which occurs even in normal network operation, due to a number of link-level and/or router-level implementation features, such as local parallelism and load balancing. Packet reordering is intuitively considered as a negative phenomenon, which may severely affect TCP traffic performance since it is expected to cause inefficient usage of the available link bandwidth and is expected to i…

Link state packetNetwork packetbusiness.industryComputer scienceTransmission Control ProtocolRadio Link ProtocolDistributed computingComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSEnd-to-end delayLoad balancing (computing)law.inventionTCP global synchronizationlawNetwork performancebusinessComputer network
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A Coexistence Analysis of Blockchain, SCADA Systems, and OpenADR for Energy Services Provision

2022

The advent of blockchain technology allows the raise of new business models for the electricity market, opening the way also to end-users and letting them offer regulation services to the power grid. Thanks to the characteristic of being distributed, the blockchain technology could be a solution to balancing problems caused by the penetration of renewable sources, implementing a platform for Demand-Response programs delivery. Demand-Response allows consumers to respond to market signals by increasing or reducing their energy consumption, contributing to greater flexibility and stability of the grid and to a more efficient use of infrastructures and energy resources. Currently, Demand-Respon…

Load managementGeneral Computer ScienceOpenADRInternet of ThingsGeneral EngineeringSmart gridsSCADA systemscommunication protocolBlockchainsPower systemsDistributed power generationBlockchainSecurityindustrial applicationsGeneral Materials ScienceSCADAElectrical and Electronic Engineeringdistributed energy servicesProtocols
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FPGA Implementation Of Diffusive Realization For A Distributed Control Operator

2010

International audience; We focus on the question of real-time computation for optimal distributed filtering or control applicable to MEMS Arrays. We present an algorithm for the realization of a linear operator solution to a functional equation through its application to a Lyapunov operatorial equation associated to the heat equation in one dimension. It is based on the diffusive realization, and turns to be well suited for fined grained parallel computer architecture as Field Programmable Gate Arrays (FPGA). An effective FPGA implementation has been successfully carried out. Here, we report the main implementation steps and the final measured performances.

Lyapunov function[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationComputer scienceComputation[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]010103 numerical & computational mathematics02 engineering and technology01 natural sciencesComputational sciencesymbols.namesakeComputer Science::Hardware Architecture[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Operator (computer programming)[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Functional equation[INFO.INFO-DC] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]0202 electrical engineering electronic engineering information engineeringElectronic engineering0101 mathematicsField-programmable gate array[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]020208 electrical & electronic engineeringOptimal control[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationsymbolsHeat equation[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Realization (systems)
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Energy Harvesting Enabled Energy Efficient Cognitive Machine-to-Machine Communications

2020

Energy harvesting based cognitive machine-to-machine (EH-CM2M) communication has been introduced to overcome the problem of spectrum scarcity and limited battery capacity by enabling M2M transmitters (M2M-TXs) to harvest energy from ambient radio frequency signals, as well as to reuse the resource blocks (RBs) allocated to CUs in an opportunistic manner. However, the complex interference scenarios and the stringent QoS requirements pose new challenges on resource allocation optimization. In this chapter, we consider how to maximize the energy efficiency of M2M-TXs via the joint optimization of channel selection, peer discovery, power control, and time allocation.

Machine to machineComputer scienceQuality of serviceDistributed computingResource allocationReuseEnergy harvestingSpectrum managementEfficient energy usePower control
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Distributed analysis of simultaneous EEG-fMRI time-series: modeling and interpretation issues

2009

Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) represent brain activity in terms of a reliable anatomical localization and a detailed temporal evolution of neural signals. Simultaneous EEG-fMRI recordings offer the possibility to greatly enrich the significance and the interpretation of the single modality results because the same neural processes are observed from the same brain at the same time. Nonetheless, the different physical nature of the measured signals by the two techniques renders the coupling not always straightforward, especially in cognitive experiments where spatially localized and distributed effects coexist and evolve temporally at different …

MaleDefault-modeBrain activity and meditationComputer scienceinstrumentation/methodsElectroencephalographycomputer.software_genreSynchronizationComputer-AssistedModelsEEGEvoked PotentialsDefault mode networkParametric statisticsVisual CortexBrain Mappingmedicine.diagnostic_testfMRISettore MED/37 - NeuroradiologiaElectroencephalographyMagnetic Resonance ImagingPattern Recognition VisualNeurologicalVisualAdultModels NeurologicalBiomedical EngineeringBiophysicsPattern RecognitionMachine learningEEG-fMRISensitivity and SpecificitymethodsImage Interpretation Computer-AssistedmedicineHumansRadiology Nuclear Medicine and imagingComputer SimulationImage Interpretationbusiness.industryWorking memoryWorking memoryReproducibility of ResultsPattern recognitionAdult Brain Mapping; methods Computer Simulation Electroencephalography; methods Evoked Potentials; Visual; physiology Humans Image Interpretation; Computer-Assisted; methods Magnetic Resonance Imaging; instrumentation/methods Male Models; Neurological Pattern Recognition; physiology Reproducibility of Results Sensitivity and Specificity Visual Cortex; physiologyDistributed source modelingphysiologyEvoked Potentials VisualArtificial intelligencebusinessFunctional magnetic resonance imagingcomputer
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