Search results for "Signal"

showing 10 items of 6924 documents

Directionlets: Anisotropic Multidirectional representation with separable filtering

2006

In spite of the success of the standard wavelet transform (WT) in image processing in recent years, the efficiency of its representation is limited by the spatial isotropy of its basis functions built in the horizontal and vertical directions. One-dimensional (1-D) discontinuities in images (edges and contours) that are very important elements in visual perception, intersect too many wavelet basis functions and lead to a nonsparse representation. To efficiently capture these anisotropic geometrical structures characterized by many more than the horizontal and vertical directions, a more complex multidirectional (M-DIR) and anisotropic transform is required. We present a new lattice-based pe…

geometrysparse image representationMultiresolution analysisInformation Storage and RetrievalGeometryBasis functionDirectional vanishing momentsseparable filteringwaveletsWaveletmultiresolutionImage Interpretation Computer-AssistedComputer GraphicsCurveletComputer SimulationmultidirectionMathematicsStochastic ProcessesModels StatisticalMathematical analysisWavelet transformfilter banksNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedImage EnhancementFilter bankComputer Graphics and Computer-Aided DesignContourletFilter designAnisotropyArtifactsdirectionletsAlgorithmsFiltrationSoftware
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Brain glucose sensing and energy balance: role of mitochondrial reactive oxygen species

2012

Brain glucose sensing and energy balance: role of mitochondrial reactive oxygen species . 7. congrès de physiologie, de pharmacologie et de thérapeutique (P2T)

glucose sensing[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionphysiologie du système nerveuxchaîne respiratoire mitochondrialeROS signaling[SDV.AEN] Life Sciences [q-bio]/Food and Nutritionmitochondrie[ SDV.NEU ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]fissioncerveau[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC][SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]hypothalamusdynamique mitochondrialeglucose[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Comparison Between Conventional and Vegetated Roof by Means of a Dynamic Simulation

2015

In this paper, a dynamic simulation of a building located in the Campus University of Palermo, Italy, has been carried out. We considered two different scenarios; in the first one, the building as it is, with a conventional covering, while in the second one the roof was equipped with a green roof. The results of the two simulations have been compared, suggesting that such building component could contribute to the energy savings of the building. However, it has to be considered as part of other possible actions devoted to improve the energy efficiency of the whole building. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC-BY-NC-ND license (http://…

green roofEngineeringSettore ING-IND/11 - Fisica Tecnica Ambientalebusiness.industrygreen roof modelGreen roofenergy performance of buildingsCivil engineeringenergy savingsDynamic simulationgreen roofsEnergy(all)energy building simulationenergy savingComponent (UML)businessRoofEnergy (signal processing)Efficient energy useEnergy Procedia
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Requirements for Energy Efficient Edge Computing: A Survey

2018

Internet of Things is evolving heavily in these times. One of the major obstacle is energy consumption in the IoT devices (sensor nodes and wireless gateways). The IoT devices are often battery powered wireless devices and thus reducing the energy consumption in these devices is essential to lengthen the lifetime of the device without battery change. It is possible to lengthen battery lifetime by efficient but lightweight sensor data analysis in close proximity of the sensor. Performing part of the sensor data analysis in the end device can reduce the amount of data needed to transmit wirelessly. Transmitting data wirelessly is very energy consuming task. At the same time, the privacy and s…

hajautetut järjestelmätBattery (electricity)energiatehokkuusbusiness.industryComputer science020206 networking & telecommunications020207 software engineering02 engineering and technologyEnergy consumptionEncryptionedge computing0202 electrical engineering electronic engineering information engineeringWirelessEnhanced Data Rates for GSM EvolutionbusinessEnergy (signal processing)Edge computingComputer networkEfficient energy use
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Optimization of Linearized Belief Propagation for Distributed Detection

2020

In this paper, we investigate distributed inference schemes, over binary-valued Markov random fields, which are realized by the belief propagation (BP) algorithm. We first show that a decision variable obtained by the BP algorithm in a network of distributed agents can be approximated by a linear fusion of all the local log-likelihood ratios. The proposed approach clarifies how the BP algorithm works, simplifies the statistical analysis of its behavior, and enables us to develop a performance optimization framework for the BP-based distributed inference systems. Next, we propose a blind learning-adaptation scheme to optimize the system performance when there is no information available a pr…

hajautetut järjestelmätComputer scienceInference02 engineering and technologyBelief propagation01 natural sciencesMarkov random fieldsalgoritmit0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic Engineeringtilastolliset mallitdistributed systemsbelief-propagation algorithmRandom fieldMarkov chainspectrum sensingverkkoteoriasignaalinkäsittely010102 general mathematicslinear data-fusionApproximation algorithm020206 networking & telecommunicationsCognitive radioblind signal processingAlgorithmWireless sensor networkRandom variablestatistical inference
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Modeling and Mitigating Errors in Belief Propagation for Distributed Detection

2021

We study the behavior of the belief-propagation (BP) algorithm affected by erroneous data exchange in a wireless sensor network (WSN). The WSN conducts a distributed multidimensional hypothesis test over binary random variables. The joint statistical behavior of the sensor observations is modeled by a Markov random field whose parameters are used to build the BP messages exchanged between the sensing nodes. Through linearization of the BP message-update rule, we analyze the behavior of the resulting erroneous decision variables and derive closed-form relationships that describe the impact of stochastic errors on the performance of the BP algorithm. We then develop a decentralized distribute…

hajautetut järjestelmätFOS: Computer and information sciencesfactor graphsComputer scienceComputer Science - Information TheoryBinary number02 engineering and technologycommunication errorsBelief propagationcomputation errorslangaton tiedonsiirtooptimointiLinearizationalgoritmit0202 electrical engineering electronic engineering information engineeringlikelihood-ratio testmessage-passing algorithmsElectrical and Electronic EngineeringStatistical hypothesis testingdistributed systemsMarkov random fieldsignaalinkäsittelyInformation Theory (cs.IT)linear data-fusionsensoriverkot020206 networking & telecommunicationscooperative communicationsData exchange020201 artificial intelligence & image processingblind signal processingRandom variableWireless sensor networkAlgorithm
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Automatic analyzis of droplet impact by high speed imaging

2012

International audience; The impact of agricultural activities on the water quality is the consequence of the loss of fertilisers (chemical fertilisers, livestock effluent, also referred to as farm fertiliser, food-processing effluent and sludge) and crop treatment products (phytosanitary products). This pollution may prevent certain uses of water, notably its use for human and animal food (groundwater and surface water), and leads to a deterioration in aquatic environments. In the domain of vineyard precision spraying research, one of the most important objectives is to minimize the volume of phytosanitary products. It is also to be more environmentally respectful with more effective vine l…

high speed imaging;spraying application;weber number;active contoursprecision agriculture[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing[SDV]Life Sciences [q-bio][ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingimage processingactive contours[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingspraying application[SDE]Environmental Sciences[SDV.BV]Life Sciences [q-bio]/Vegetal Biologyhigh speed imaging[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingWeber number[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Fuzzy sliding mode control design for a class of disturbed systems

2014

This paper discusses the problem of the fuzzy sliding mode control for a class of disturbed systems. First, a fuzzy auxiliary controller is constructed based on a feedback signal not only to estimate the unknown control term, but also participates in the sliding mode control due to the fuzzy rule employed. Then, we extend our theory into the cases, where some kind of system information can not be obtained, for better use of our theoretical results in real engineering. Finally, some typical numerical examples are included to demonstrate the effectiveness and advantage of the designed sliding mode controller. Refereed/Peer-reviewed

horizontal platform systemEngineeringFuzzy ruleComputer Networks and Communicationsbusiness.industryApplied MathematicsControl (management)SIGNAL (programming language)Mode (statistics)sliding mode controlControl engineeringFuzzy logicSliding mode controlTerm (time)Control and Systems EngineeringControl theorySignal ProcessingControl and Systems Engineering; Computer Networks and Communications; Applied Mathematics; Signal ProcessingbusinessJournal of the Franklin Institute
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Metallic nanoparticles exhibit paradoxical effects on oxidative stress and pro-inflammatory response in endothelial cells in vitro

2007

Particulate matter is associated with different human diseases affecting organs such as the respiratory and cardiovascular systems. Very small particles (nanoparticles) have been shown to be rapidly internalized into the body. Since the sites of internalization and the location of the detected particles are often far apart, a distribution via the blood stream must have occurred. Thus, endothelial cells, which line the inner surface of blood vessels, must have had direct contact with the particles. In this study we tested the effects of metallic nanoparticles (Co and Ni) on oxidative stress and proinflammatory response in human endothelial cells in vitro. Exposure to both nanoparticle types…

human diseasesmedia_common.quotation_subjectImmunologyNanoparticleCell CountInflammationBiologymedicine.disease_cause03 medical and health sciences0302 clinical medicineMicroscopy Electron TransmissionNickelmedicineHumansImmunology and AllergyParticle SizeCytotoxicityInternalizationCells CulturedChemokine CCL2media_commonInflammationPharmacologyInterleukin-8Endothelial CellsCobaltIntercellular Adhesion Molecule-1GlutathioneIn vitroCell biologyOxidative StressMetalsNanotoxicology030220 oncology & carcinogenesisNanoparticlesGentian Violetmedicine.symptomSignal transductionReactive Oxygen SpeciesOxidation-ReductionOxidative stress030215 immunology
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Space-Frequency Quantization for Image Compression With Directionlets

2007

The standard separable 2-D wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to efficiently capture 1-D discontinuities, like edges or contours. These features, being elongated and characterized by geometrical regularity along different directions, intersect and generate many large magnitude wavelet coefficients. Since contours are very important elements in the visual perception of images, to provide a good visual quality of compressed images, it is fundamental to preserve good reconstruction of these directional features. In our previous work, we proposed a construction of critic…

image orientation analysisMultiresolution analysisVideo RecordingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingnonseparable transformsmultiresolution analysisRate–distortion theoryWaveletDVMsImage Interpretation Computer-AssistedComputer GraphicsComputer visionQuantization (image processing)image codingimage segmentationMathematicsbusiness.industryWavelet transformNumerical Analysis Computer-AssistedSignal Processing Computer-AssistedWTsData CompressionImage EnhancementComputer Graphics and Computer-Aided Designwavelet transformsdirectional vanishing momentsdirectional transformsArtificial intelligencebusinessAlgorithmsSoftwareImage compressionData compressionIEEE Transactions on Image Processing
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