Search results for "Image"

showing 10 items of 6818 documents

Routing Algorithm for Maximizing Lifetime of Wireless Sensor Network for Broadcast Transmission

2018

In the article we discuss solutions of the maximum lifetime broadcasting problem in wireless sensor networks. Due to limited energy resources of the network nodes to find an optimal transmission route of the broadcasted data we minimize the maximum energy consumed by the nodes. We give an analytical solution of the problem in one dimensional regular sensor network for the point-to-point and point-to-multipoint data transmission scheme. We show that in such a network, when the cost of data transmission is a polynomial function of distance between transmitter and receiver, there exist solutions with an equal energy, i.e., all nodes of the network consume the same amount of energy. We assume t…

Spanning treeComputer scienceNode (networking)Wireless communication020206 networking & telecommunications02 engineering and technologyEnergy consumptionTopologyComputer Science ApplicationsBroadcast transmissionBroadcasting (networking)Energy efficiencyTransmission (telecommunications)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSensor network lifetimeElectrical and Electronic EngineeringTime complexityWireless sensor networkData transmissionWireless Personal Communications
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A measurement-based channel model for vehicular communications in tunnels

2014

Wireless Communications and Networking Conference (WCNC), 2014 IEEE, Istanbul, TURQUIE, 06-/04/2014 - 09/04/2014; In this paper, we present a new version of the iterative nonlinear least square approximation (INLSA) algorithm for the design of measurement-based channel simulators. The proposed method aims to match the time-variant impulse response (TVIR) of the simulation model to that of the measured channel. The propagation delays are discerned directly from the measurements, whereas the gains, the Doppler frequencies, and the phases are computed iteratively by minimizing a matching error norm. We evaluate the performance of the proposed method in terms of the approximation of the transfe…

Spatial correlationCHANNEL SOUNDINGComputer scienceMIMOITERATIVE OPTIMIZATIONPROPAGATIONCOMMUNICATIONTransfer functionPrecodingTRAITEMENT DU SIGNALTECHNOLOGIE SANS FILChannel capacityImpulse responseSimulationANTENNEEmulationOPTIMISATIONCHANNEL MODELINGMOBILE FADING CHANNELSMODELISATIONTUNNELChannel state informationTRANSMISSION DES DONNEESTUNNEL CHANNELSAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingCommunication channel
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AMUN: An Object Oriented Model For Cooperative Spatial Information Systems

1997

International audience; The diversity of spatial information systems promote the need to integrate heterogeneous spatial or geographic information systems (GIS) in a cooperative environment. We present an on going research project, called ISIS (Interoperable Spatial Information System), which aims to build an environment to support interoperability of GIS by interconnecting spatial data repositories and spatial processing resources. Our solution combines techniques from traditional interoperable information systems, spatial data modeling and distributed object oriented databases. While object oriented data modeling impact has been studied in spatial databases, research in model for distribu…

Spatial data infrastructureGeospatial analysisGeographic information systemDatabaseComputer sciencebusiness.industrySpatial database02 engineering and technologycomputer.software_genreData scienceData modeling[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]020204 information systems0202 electrical engineering electronic engineering information engineeringInformation system020201 artificial intelligence & image processingEnterprise GIS[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]businesscomputerSpatial analysis
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Shaded-Mask Filtering for Extended Depth-of-Field Microscopy

2013

This paper proposes a new spatial filtering approach for increasing the depth-of-field (DOF) of imaging systems, which is very useful for obtaining sharp images for a wide range of axial positions of the object. Many different techniques have been reported to increase the depth of field. However the main advantage in our method is its simplicity, since we propose the use of purely absorbing beam-shaping elements, which allows a high focal depth with a minimum modification of the optical architecture. In the filter design, we have used the analogy between the axial behavior of a system with spherical aberration and the transverse impulse response of a 1D defocused system. This allowed us the…

Spatial filterComputer Networks and Communicationsbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFilter (signal processing)ÒpticaÒptica Aparells i instrumentsTransverse planeSpherical aberrationFilter designOpticsSimplicity (photography)Media TechnologyComputer visionArtificial intelligenceDepth of fieldElectrical and Electronic EngineeringbusinessImpulse responseInformation SystemsMathematics
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Filter multiplexing by use of spatial Code Division Multiple Access approach.

2003

The increasing popularity of optical communication has also brought a demand for a broader bandwidth. The trend, naturally, was to implement methods from traditional electronic communication. One of the most effective traditional methods is Code Division Multiple Access. In this research, we suggest the use of this approach for spatial coding applied to images. The approach is to multiplex several filters into one plane while keeping their mutual orthogonality. It is shown that if the filters are limited by their bandwidth, the output of all the filters can be sampled in the original image resolution and fully recovered through an all-optical setup. The theoretical analysis of such a setup …

Spatial filterbusiness.industryComputer scienceCode division multiple accessMaterials Science (miscellaneous)Bandwidth (signal processing)Optical communicationSpatial codeMultiplexingIndustrial and Manufacturing EngineeringOpticsElectronic engineeringBusiness and International ManagementbusinessOptical filterImage resolutionApplied optics
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Optical implementation of the weighted sliced orthogonal nonlinear generalized correlation for nonuniform illumination conditions.

2002

Optical pattern recognition under variations of illumination is an important issue. The sliced orthogonal nonlinear generalized (SONG) correlation has been proposed as an optical pattern recognition tool to discriminate with high efficiency between objects. But, at the same time, the SONG correlation is very sensitive to gray-scale image variations. In a previous work, we expanded the definition of the SONG correlation to the Weighted SONG (WSONG) correlation to modify the discrimination capability in a controlled way. Here, we propose to use the WSONG when pattern recognition is obtained by means of optical correlation under nonuniform illumination. The calculation of the WSONG correlation…

Spatial filterbusiness.industryComputer scienceMaterials Science (miscellaneous)Binary imageNonlinear opticsImage processingIndustrial and Manufacturing EngineeringCorrelationNonlinear systemsymbols.namesakeOpticsFourier transformComputer Science::SoundComputer Science::Computer Vision and Pattern RecognitionPattern recognition (psychology)symbolsBusiness and International ManagementbusinessImage resolutionApplied optics
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Single-channel polychromatic pattern recognition by the use of a joint-transform correlator.

2010

We present a single-channel system for color image recognition that is based on a joint-transform correlator setup. The color images are encoded as phase and amplitude functions, inspired from the Munsell color representation. A real-time implementation of the new codification method can be achieved by the use of a spatial light modulator operating in phase-only modulation mode. We determine the optimal codification for a linear color-phase code. Its performance is compared with a conventional multichannel correlator by means of computer simulations. Experimental results are also presented.

Spatial light modulatorChannel (digital image)Color imageComputer sciencebusiness.industryMaterials Science (miscellaneous)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhase (waves)Industrial and Manufacturing EngineeringOpticsModulationPattern recognition (psychology)Code (cryptography)Business and International ManagementJoint (audio engineering)businessApplied optics
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Super Resolution Methods Implementing Diffractive Masks Having a Certain Degree of Periodicity

2011

This section presents an approach that provides super resolved imaging at the center of the field of view and yet allows to see the remaining of the original field of view with original resolution. This operation resembles optical zooming while the zoomed and the nonzoomed images are obtained simultaneously. This is obtained by taking a single snap-shot and using a single imaging lens. The technique utilizes a special static/still coding element and a postprocessing algorithmic, without any mechanical movements.

Spatial light modulatorbusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONField of viewSuperresolutionGray levelGray codeImaging lensComputer visionArtificial intelligenceZoombusinessCoding (social sciences)
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ICA of full complex-valued fMRI data using phase information of spatial maps.

2015

Background ICA of complex-valued fMRI data is challenging because of the ambiguous and noisy nature of the phase. A typical solution is to remove noisy regions from fMRI data prior to ICA. However, it may be more optimal to carry out ICA of full complex-valued fMRI data, since any filtering or voxel-based processing may disrupt information that can be useful to ICA. New method We enable ICA of the full complex-valued fMRI data by utilizing phase information of estimated spatial maps (SMs). The SM phases are first adjusted to properly represent spatial phase changes of all voxels based on estimated time courses (TCs), and then these are used to segment the voxels into BOLD-related and unwant…

Spatial map phaseAdultComputer scienceIndependent component analysis (ICA)Neuroscience(all)computer.software_genreta3112030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineRobustness (computer science)VoxelImage Processing Computer-AssistedHumansComputer visionInfomaxPhase de-ambiguityta217ta113business.industryGeneral NeuroscienceComplex valuedBrainPattern recognitionMaximizationPhase positioningMagnetic Resonance ImagingComplex-valued fMRI dataPhase maskingSpatial mapsArtificial intelligencebusinesscomputer030217 neurology & neurosurgeryPsychomotor PerformanceJournal of neuroscience methods
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Integration of Spatial processing and knowledge Processing through the Semantic Web Stack

2011

International audience; This paper presents the integration process of spatial technologies and Semantic Web technologies and its associated tool. The result of this work is a spatial query and rule engine of spatial. To do so, existing ontology with spatial elements is adjusted in order to process the spatial knowledge through spatial technologies. This paper outlines the methods and the processes of these adjustments and how results are returned by our tool. The SWRL and the SPARQL language are extended for spatial purpose and the existing OWL ontology wine is used as an application example.

Spatial processing010504 meteorology & atmospheric sciencescomputer.internet_protocolComputer science02 engineering and technologyOntology (information science)computer.software_genre01 natural sciencesSPARQLOWL-SSocial Semantic WebRule languageOWL Ontology0202 electrical engineering electronic engineering information engineeringSPARQL[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Web StackSemantic WebSWRL0105 earth and related environmental sciencesKnowledge processingInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Databasebusiness.industrySemantic Web Rule Languagecomputer.file_formatSpatial query[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingbusinessQuery languagecomputer
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