Search results for "methodologie"

showing 10 items of 2141 documents

The Role of Corporate Social Responsibility and Its Influences on Vietnamese Small and Medium-sized Enterprises (SMEs) in Ho Chi Minh City

2020

In the new era, the importance of Corporate Social Responsibility (CSR) for business organizations is a matter of primary concern and has been researched by scholars around the world. Interest in CSR in business enterprises is often neglected due to its high-cost factor and the enterprises only focused on its operations and profitability for the existence of a business. If the enterprises have a good CSR policy within their development strategy, they will attain greater success. It was deemed that the empirical study adopted a descriptive survey method, 103 data samples were selected from the SMEs for analysis. The results indicated that SME management who adopted and implemented CSR polici…

sustainable developmentVietnamkestävä kehitysyritysvastuuComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONtyöntekijätbrändäysbrandingcorporate responsibilityBranding developmentCSRCommunity DevelopmentEmployee engagement
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The Radon-Wigner Transform and Its Application to First-order Optical Systems

2009

The Radon-Wigner transform is presented as a tool for the description of 1st-order optical systems. The input/output relationships for this phase-space representation are obtained and their application in analysis and design tasks is pointed out.

symbols.namesakeFourier transformComputer scienceHartley transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONsymbolsShort-time Fourier transformHarmonic wavelet transformS transformAlgorithmConstant Q transformDiscrete Fourier transformFractional Fourier transformFrontiers in Optics 2009/Laser Science XXV/Fall 2009 OSA Optics & Photonics Technical Digest
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Implementing structured document production to support enterprise content management

2017

Within enterprise content management (ECM), the major goal is to develop and deploy systematic solutions for managing documents and other content items. ECM implementation concerns the development and deployment of new content management solutions and practices in an organization. Extensible Markup Language (XML) offers a standardized format for documents supporting the management and preservation of documents as structured documents. However, the deployment of XML may require a demanding standardization process, changes in work practices, and new tools for document management. Consequently, this research explores the implementation of structured document production environments. The focus …

sähköiset asiakirjatECMenterprise content managementmetadataComputingMethodologies_DOCUMENTANDTEXTPROCESSINGtiedonhallintasisällönhallintatiedonhallintajärjestelmätXMLstructured documentsrakenteiset dokumentitasiakirjahallinto
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A novel heuristic memetic clustering algorithm

2013

In this paper we introduce a novel clustering algorithm based on the Memetic Algorithm meta-heuristic wherein clusters are iteratively evolved using a novel single operator employing a combination of heuristics. Several heuristics are described and employed for the three types of selections used in the operator. The algorithm was exhaustively tested on three benchmark problems and compared to a classical clustering algorithm (k-Medoids) using the same performance metrics. The results show that our clustering algorithm consistently provides better clustering solutions with less computational effort.

ta113Determining the number of clusters in a data setBiclusteringClustering high-dimensional dataDBSCANComputingMethodologies_PATTERNRECOGNITIONTheoretical computer scienceCURE data clustering algorithmCorrelation clusteringCanopy clustering algorithmCluster analysisAlgorithmMathematics2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
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Collaborative EA Information Elicitation Method : The IEM for Business Architecture

2015

This study contributes to the enterprise architecture (EA) methodologies by suggesting a method for eliciting architecture requirements: gathering both the current architecture information, and the development needs and requirements for the business architecture (BA) dimension in EA planning. Most of all EA dimensions, the developing of the BA requires collaboration with various non-IT stakeholders. It presents thus challenges to the IT department, or the consultancy involved in EA related efforts. The contribution of the various stakeholder groups as informants is, however, crucial to well founded EA design decisions. The suggested method takes related IS development fields as starting poi…

ta113EngineeringKnowledge managementRequirements engineeringbusiness.industryrequirements elicitationComputingMethodologies_MISCELLANEOUSStakeholderEnterprise architectureInformation technologyRequirements elicitationpublic administrationBusiness process modelingKnowledge acquisitionmethodsmenetelmätenterprise architectureBusiness architecturejulkinen hallintokokonaisarkkitehtuuribusiness
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Interface Detection Using a Quenched-Noise Version of the Edwards-Wilkinson Equation

2015

We report here a multipurpose dynamic-interface-based segmentation tool, suitable for segmenting planar, cylindrical, and spherical surfaces in 3D. The method is fast enough to be used conveniently even for large images. Its implementation is straightforward and can be easily realized in many environments. Its memory consumption is low, and the set of parameters is small and easy to understand. The method is based on the Edwards-Wilkinson equation, which is traditionally used to model the equilibrium fluctuations of a propagating interface under the influence of temporally and spatially varying noise. We report here an adaptation of this equation into multidimensional image segmentation, an…

ta113Image segmentationta114DiscretizationInterface (Java)Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONobject detectionimage edge detectionImage segmentationComputer Graphics and Computer-Aided DesignGrayscaleGray-scaleObject detectionSurface topographyNoiseMathematical modelThree-dimensional displaysSegmentationTomography3D image processingNoiseSurface morphologyAlgorithmSoftwareIEEE Transactions on Image Processing
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Support vector machine integrated with game-theoretic approach and genetic algorithm for the detection and classification of malware

2013

Abstract. —In the modern world, a rapid growth of mali- cious software production has become one of the most signifi- cant threats to the network security. Unfortunately, wides pread signature-based anti-malware strategies can not help to de tect malware unseen previously nor deal with code obfuscation te ch- niques employed by malware designers. In our study, the prob lem of malware detection and classification is solved by applyin g a data-mining-based approach that relies on supervised mach ine- learning. Executable files are presented in the form of byte a nd opcode sequences and n-gram models are employed to extract essential features from these sequences. Feature vectors o btained are…

ta113Network securitybusiness.industryComputer scienceFeature vectorFeature extractionuhatBytecomputer.file_formatMachine learningcomputer.software_genrehaittaohjelmatSupport vector machineObfuscation (software)ComputingMethodologies_PATTERNRECOGNITIONnetworknetwork securityMalwareData miningArtificial intelligenceExecutabletietoturvabusinesscomputer2013 IEEE Globecom Workshops (GC Wkshps)
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Automatic dynamic texture segmentation using local descriptors and optical flow

2012

A dynamic texture (DT) is an extension of the texture to the temporal domain. How to segment a DT is a challenging problem. In this paper, we address the problem of segmenting a DT into disjoint regions. A DT might be different from its spatial mode (i.e., appearance) and/or temporal mode (i.e., motion field). To this end, we develop a framework based on the appearance and motion modes. For the appearance mode, we use a new local spatial texture descriptor to describe the spatial mode of the DT; for the motion mode, we use the optical flow and the local temporal texture descriptor to represent the temporal variations of the DT. In addition, for the optical flow, we use the histogram of orie…

ta113business.industrySegmentation-based object categorizationComputer scienceTexture DescriptorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowScale-space segmentationPattern recognitionImage segmentationComputer Graphics and Computer-Aided DesignImage textureMotion fieldRegion growingComputer Science::Computer Vision and Pattern RecognitionHistogramComputer visionSegmentationArtificial intelligencebusinessSoftwareIEEE Transactions on Image Processing
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Lattice Boltzmann Simulations at Petascale on Multi-GPU Systems with Asynchronous Data Transfer and Strictly Enforced Memory Read Alignment

2015

The lattice Boltzmann method is a well-established numerical approach for complex fluid flow simulations. Recently general-purpose graphics processing units have become accessible as high-performance computing resources at large-scale. We report on implementing a lattice Boltzmann solver for multi-GPU systems that achieves 0.69 PFLOPS performance on 16384 GPUs. In addition to optimizing the data layout on the GPUs and eliminating the halo sites, we make use of the possibility to overlap data transfer between the host CPU and the device GPU with computing on the GPU. We simulate flow in porous media and measure both strong and weak scaling performance with the emphasis being on a large scale…

ta113ta114Computer scienceLattice Boltzmann methodsGPUParallel computingSolverLattice Boltzmannmemory alignmentComputational sciencePetascale computingAsynchronous communicationData structure alignmentGraphicsasynchronous communicationTitanHost (network)ComputingMethodologies_COMPUTERGRAPHICSData transmissionEuromicro international conference on parallel, distributed and network-based processing
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It’s Not Only What You Say, But How You Say It : Investigating the Potential of Prosodic Analysis as a Method to Study Teacher’s Talk

2018

In this study, we introduce new insights into prosodic analyses as an emerging method to study what happens in classrooms interactions. We claim that the prosodic aspects (features of speech such as intonation, volume and pace) of talk are important, but under-represented in the learning sciences. These prosodic aspects may be used to complement, intensify or even reverse the linguistic content of speech. Thus far, most research on classrooms has focused on the content (what is said) rather than on understanding the meaning of the prosodic features (how it is said) of talk. In this study, we introduce prosodic analyses as a method to study classroom discussions. Our exploratory experiment f…

teacher’s talkvuorovaikutusDiscourse analysisprosodic analyseSocial Sciencesta6121Interpersonal communicationteaching situationCooperative LearningEducationprosodydialogisuusComputingMilieux_COMPUTERSANDEDUCATIONta516ta518ProsodyprosodiikkaPerspective (graphical)Dialogic TeachingIntonation (linguistics)opetuskeskusteluClassroom TalkpuheviestintäLearning sciencesLinguisticsPublic speakingopetustilanneComputingMethodologies_PATTERNRECOGNITIONoral communicationyhteistoiminnallinen oppiminenKasvatustieteet - Educational sciencesprosodic analysisMeaning (linguistics)
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