Search results for "Software"

showing 10 items of 7396 documents

Comparative Study of the Mobile Learning Architectures

2016

International audience; With the emergence of mobile devices (Smart Phone, PDA, UMPC, game consoles, etc.), learning is changing from electronic learning (e-Learning) to mobile learning (m-learning). In fact, due to the mobility feature, it seems that the m-learning have to be adapted with the change within the context. Several researches addressed this issue and implemented a mobile learning environment to prove its usefulness and feasibility in various domains. In this article, we conduct a comparative study between a list of mobile learning architectures and methods that are presented in the literature. The performance of these architectures is evaluated based on several criteria, such a…

[ INFO ] Computer Science [cs]Computer science[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Mobile computingMobile TechnologyM-learning02 engineering and technology[INFO] Computer Science [cs]Context-change managementcomputer.software_genreRobot learning[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020204 information systems0202 electrical engineering electronic engineering information engineeringMobile searchMobile technology[INFO]Computer Science [cs]AdaptationLearning methodMultimediaLearning environmentEducational technologyContextSynchronous learningE-LearningM-learning020201 artificial intelligence & image processingcomputer
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Overlapping community detection versus ground-truth in AMAZON co-purchasing network

2015

International audience; Objective evaluation of community detection algorithms is a strategic issue. Indeed, we need to verify that the communities identified are actually the good ones. Moreover, it is necessary to compare results between two distinct algorithms to determine which is most effective. Classically, validations rely on clustering comparison measures or on quality metrics. Although, various traditional performance measures are used extensively. It appears very clearly that they cannot distinguish community structures with different topological properties. It is therefore necessary to propose an alternative methodology more sensitive to the community structure variations in orde…

[ INFO ] Computer Science [cs]Computer sciencemedia_common.quotation_subject02 engineering and technologycomputer.software_genreMachine learning01 natural sciencesClique percolation method010104 statistics & probability[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringQuality (business)[INFO]Computer Science [cs]0101 mathematicsCluster analysisnetwork analysismedia_commonGround truthoverlapping community networksbusiness.industryCommunity structurePurchasing[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsCommunity structure[SPI.TRON]Engineering Sciences [physics]/Electronicsdetection algorithmsoverlap- ping community networks020201 artificial intelligence & image processingAlgorithm designArtificial intelligenceData miningbusinesscomputerNetwork analysis
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Interpreting Heterogeneous Geospatial Data Using Semantic Web Technologies

2016

International audience; The paper presents work on implementation of semantic technologies within a geospatial environment to provide a common base for further semantic interpretation. The work adds on the current works in similar areas where priorities are more on spatial data integration. We assert that having a common unified semantic view on heterogeneous datasets provides a dimension that allows us to extend beyond conventional concepts of searchability, reusability, composability and interoperability of digital geospatial data. It provides contextual understanding on geodata that will enhance effective interpretations through possible reasoning capabilities. We highlight this through …

[ INFO ] Computer Science [cs]Geospatial analysisComputer scienceInteroperabilitySemantification02 engineering and technologySDIcomputer.software_genreSocial Semantic Web020204 information systems0202 electrical engineering electronic engineering information engineeringSemantic analyticsGeospatial PDF[INFO]Computer Science [cs]Web Coverage ServiceSemantic Web StackSemantic WebData WebR2RMLInformation retrievalLand usebusiness.industryCIPcomputer.file_formatGeoSPARQLInteroperabilityGeoSPARQLSemantic technology020201 artificial intelligence & image processingHeterogeneitybusinesscomputer
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Fuzzy formalizations of cognitive distance

1992

Spatial training process allows more and more precise informations to be collected and memorized. The aim of this article is to describe a three steps training process based on three fuzzy formalizations of cognitive distance associated to three different types of informations : (1) expression of a linguistic relative distance based on fuzzy relation of closeness or/and remoteness, (2) expression of a linguistic absolute distance expressed by primary linguistic terms like short or long and (3) expression of a fuzzy metric absolute distance. A fourth part is devoted to expression of precise correspondance rule between linguistic and metric opinions described below.

[ INFO ] Computer Science [cs]ProgrammingPsychologyComputer software[INFO] Computer Science [cs]InformatiqueComputer science
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Ontology and protocol secure for SCADA: Int. J. of Metadata, Semantics and Ontologies, 2014 Vol.9, No.2, pp.114 - 127

2014

International audience; In this work, we present a semantic cyber security system and we study its semantic intelligent systems vulnerabilities, focusing on the semantic attacks. For resolving semantic problems we propose a security global solution for the new generation of SCADA systems. The proposed solution aims at protecting critical semantic SCADA processes from the effects of major failures and semantic vulnerabilities in the modern IT-SCADA network. We used a security block in the global network access point, security protocols deployed in different network (OSI) levels and security ontologies deployed in security devices. We used our mixed coordinates (ECC) cryptography solution, th…

[ INFO ] Computer Science [cs]security protocolsComputer sciencedata acquisition[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]020209 energy[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]Cryptography02 engineering and technologysemantic security blockLibrary and Information SciencesComputer securitycomputer.software_genreSOAP protocolSecurity information and event management[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI][INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]SCADAModbus protocolECC cryptography0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]SCADAcontrol systemsCloud computing securityvulnerabilitiesTOMSONbusiness.industryencryption technologyembedded applicationscyber securitysupervisory controlsemantic attacksCryptographic protocolComputer security modelsecurity ontologyComputer Science ApplicationsOSI modellow latencySecurity service020201 artificial intelligence & image processingbusinesscomputerInformation SystemsComputer network
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CLEARMiner: a new algorithm for mining association patterns on heterogeneous time series from climate data

2010

International audience; Recently, improvements in sensor technology contributed to increasing in spatial data acquisition. The use of remote sensing in many countries and states, where agricultural business is a large part of their gross income, can provide a valuable source to improve their economy. The combination of climate and remote sensing data can reveal useful information, which can help researchers to monitor and estimate the production of agricultural crops. Data mining techniques are the main tools to analyze and extract relationships and patterns. In this context, this paper presents a new algorithm for mining association patterns in Geo-referenced databases of climate and satel…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]Association rule learning[INFO.INFO-WB] Computer Science [cs]/WebComputer scienceAssociation (object-oriented programming)[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer scienceContext (language use)computer.software_genreNOAA-AVHRR imagesImage-based Information Systemsassociation rules[SCCO.COMP] Cognitive science/Computer science[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Spatial analysisAgricultural crops[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Series (mathematics)[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM][ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Remote sensing (archaeology)[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Data mining[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]Vegetation IndexAlgorithmcomputer
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User profile matching in social networks

2010

International audience; Inter-social networks operations and functionalities are required in several scenarios (data integration, data enrichment, information retrieval, etc.). To achieve this, matching user profiles is required. Current methods are so restrictive and do not consider all the related problems. Particularly, they assume that two profiles describe the same physical person only if the values of their Inverse Functional Property or IFP (e.g. the email address, homepage, etc.) are the same. However, the observed trend in social networks is not fully compatible with this assumption since users tend to create more than one social network account (for personal use, for work, etc.) w…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]Matching (statistics)Computer science[SCCO.COMP]Cognitive science/Computer science02 engineering and technologySimilarity measurecomputer.software_genreElectronic mail[SCCO.COMP] Cognitive science/Computer science020204 information systemsFOAF0202 electrical engineering electronic engineering information engineeringPattern matchingUser profileSocial networkbusiness.industrycomputer.file_formatProfile MatchingSocial Networks[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processingData mining[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]businesscomputerData integration
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Management and interaction with multimodal information content

2010

[Chbeir, Richard] Univ Bourgogne, CNRS, LE2I, Dept Comp Sci, F-21000 Dijon, France. [Coninx, Karin] Univ Hasselt, Expertise Ctr Digital Media EDM, BE-3590 Diepenbeek, Belgium. [Ferri, Fernando; Grifoni, Patrizia] CNR, Inst Res Populat & Social Policies, Rome, Italy.

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]Operations research[INFO.INFO-WB] Computer Science [cs]/WebComputer Networks and CommunicationsComputer science[ INFO.INFO-WB ] Computer Science [cs]/WebLibrary science[SCCO.COMP]Cognitive science/Computer science02 engineering and technologyDigital media[SCCO.COMP] Cognitive science/Computer science0202 electrical engineering electronic engineering information engineeringMedia Technology[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]ComputingMilieux_MISCELLANEOUS[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry05 social sciences[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]020207 software engineering[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Hardware and Architecture[ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]0509 other social sciences050904 information & library sciencesbusinessSoftware
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Toward Approximate GML Retrieval Based on Structural and Semantic Characteristics

2010

International audience; GML is emerging as the new standard for representing geographic information in GISs on the Web, allowing the encoding of structurally and semantically rich geographic data in self describing XML-based geographic entities. In this study, we address the problem of approximate querying and ranked results for GML data and provide a method for GML query evaluation. Our method consists of two main contributions. First, we propose a tree model for representing GML queries and data collections. Then, we introduce a GML retrieval method based on the concept of tree edit distance as an efficient means for comparing semi-structured data. Our approach allows the evaluation of bo…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]Tree edit distanceSimilarity (geometry)[INFO.INFO-WB] Computer Science [cs]/WebComputer sciencecomputer.internet_protocol[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer science02 engineering and technologycomputer.software_genre[SCCO.COMP] Cognitive science/Computer science020204 information systemsEncoding (memory)0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM]Information retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]GML SearchStructural & Semantic Similarity[INFO.INFO-WB]Computer Science [cs]/WebProcess (computing)[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]GISConstraint (information theory)[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Ranked retrieval020201 artificial intelligence & image processingData mining[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]computerXMLDecision tree model
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Towards A Twitter Observatory: A Multi-Paradigm Framework For Collecting, Storing And Analysing Tweets

2016

International audience; In this article we show how a multi-paradigm framework can fulfil the requirements of tweets analysis and reduce the waiting time for researchers that use computational resources and storage systems to support large-scale data analysis. The originality of our approach is to combine concerns about data harvesting, data storage, data analysis and data visualisation into a framework that supports inductive reasoning in multidisciplinary scientific research. Our main contribution is a polyglot storage system with a generic data model to support logical data independence and a set of tools that can provide a suitable solution for mixing different types of algorithms in or…

[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][ INFO ] Computer Science [cs]Computer scienceknowledge discovery02 engineering and technology[INFO] Computer Science [cs][INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]Data modelingmassive datasetsopen source softwareData visualization[ INFO.INFO-IT ] Computer Science [cs]/Information Theory [cs.IT]polyglot storage020204 information systems0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Twitter analysis . SystemsComputingMilieux_MISCELLANEOUS[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industryPolyglotInductive reasoningData science[SPI.TRON] Engineering Sciences [physics]/ElectronicsData independence[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsData model[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]020201 artificial intelligence & image processing[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT]Data architecturebusinessSoftware architecture
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