Search results for "Intelligent system"

showing 10 items of 22 documents

Medical news aggregation and ranking of taking into account the user needs

2019

The purpose of this work is to develop an intelligent information system that is designed for aggregation and ranking of news taking into account the needs of the user. The online market for mass media and the needs of readers, the purpose of their searches and moments is not enough to find the news is analyzed. A conceptual model of the information aggression system and ranking of news that would enable presentation of the work of the future intellectual information system, to show its structure is constructed. The methods and means for implementation of the intellectual information system are selected. An online resource for aggregation and ranking of news, news feeds and flexible setting…

Bayesian clustering Bayesian networks Content analisis Content ranking Context filtering Data mining Intelligent system Medical news News aggregation User needsCEUR Workshop Proceedings
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An efficient distributed algorithm for generating and updating multicast trees

2006

As group applications are becoming widespread, efficient network utilization becomes a growing concern. Multicast transmission represents a necessary lower network service for the wide diffusion of new multimedia network applications. Multicast transmission may use network resources more efficiently than multiple point-to-point messages; however, creating optimal multicast trees (Steiner Tree Problem in networks) is prohibitively expensive. This paper proposes a distributed algorithm for the heuristic solution of the Steiner Tree Problem, allowing the construction of effective distribution trees using a coordination protocol among the network nodes. Furthermore, we propose a novel distribut…

Computer Networks and Communicationscomputer.internet_protocolComputer scienceDistributed computingNetwork ontology.Distance Vector Multicast Routing ProtocolMultimedia Broadcast Multicast ServiceSteiner tree problemTheoretical Computer Sciencesymbols.namesakeArtificial IntelligenceConvergence (routing)Multicast addressXcastCommunication complexityPragmatic General MulticastIntelligent systemSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMulticast transmissionProtocol Independent MulticastMulticastInter-domainbusiness.industryNode (networking)Programmable networkComputer Graphics and Computer-Aided DesignSource-specific multicastHardware and ArchitectureDistributed algorithmNetwork serviceReliable multicastsymbolsSituation calculuIP multicastbusinesscomputerSoftwareComputer networkParallel Computing
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Ethics in designing intelligent systems

2019

The idea of Hume’s guillotine contains the argument that one cannot derive values from facts. As intelligent systems operate with facts, Hume’s famous dilemma seems to contradict the very idea of being able to create ethical intelligent systems. In a closer look, ethics is a system of rules guiding actions. Actions always have factual or cognitive aspects, as well as evaluative or emotional aspects. Therefore, Hume’s juxtaposition of facts and norms is not well-founded. Instead of separating the facts and norms it should rather ask what kinds of facts are associated to what kinds of norms. Consequently, Hume’s guillotine sets no limits in processing ethical information, as one can combine f…

Computer scienceProcess (engineering)the probleme of relevanceIntelligent decision support systemCognitiondesigning intelligent systemsethicsEpistemologyDilemmaHume's guillotineappraisalArgumentFormal languageRelevance (law)
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A KST-BASED SYSTEM FOR STUDENT TUTORING

2008

Abstract: A novel assessment procedure based on knowledge space theory (KST) is presented along with a complete implementation of an intelligent tutoring system. (ITS) that has been used to test our theoretical findings. The key idea is that correct assessment of the student knowledge is strictly related to the structure of the domain ontology. Suitable relationships between the concepts must be present to allow the creation of a reverse path from the "knowledge state" representing the student goal to the one that contains her actual knowledge about this topic. Knowledge space theory is a very good framework to guide the process of building the ontology used, by the artificial tutor The sys…

Intelligent systemStructure (mathematical logic)CorrectnessOntologyComputer scienceLatent semantic analysisbusiness.industryOntology (information science)computer.software_genreIntelligent tutoring systemDomain (software engineering)Artificial IntelligenceArtificial intelligenceDialog systemStudentsbusinesscomputerNatural language processing systemKST Student TutoringNatural languageNatural language processingApplied Artificial Intelligence
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A Logical Architecture for Active Network Management

2006

This paper focuses on improving network management by exploiting the potential of “doing” of the Active Networks technology, together with the potential of “planning,” which is typical of the artificial intelligent systems. We propose a distributed multiagent architecture for Active Network management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by programmable sensors deployed across the network. A logical entity collects this information, in order to merge it with general domain knowledge, with a view to identifying the roo…

Intelligent systems; Network ontology; Programmable networks; Situation calculusIntelligent systemNetwork architectureComputer Networks and Communicationsbusiness.industryComputer scienceNetwork ontologyStrategy and ManagementDistributed computingProgrammable networkNetwork management applicationNetwork simulationSituation calculusNetwork managementIntelligent computer networkHardware and ArchitectureElement management systembusinessNetwork management stationActive Network ManagementInformation SystemsComputer networkJournal of Network and Systems Management
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Lecture Notes in Real-Time Intelligent Systems

2018

Intelligent computing refers greatly to artificial intelligence with the aim at making computer to act as a human. This newly developed area of real-time intelligent computing integrates the aspect of dynamic environments with the human intelligence. This book presents a comprehensive practical and easy to read account which describes current state-of-the art in designing and implementing real-time intelligent computing to robotics, alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowd sourcing, broadband systems, cloud computing, streaming data and many other applications areas. The solutions discussed in this book will encourage the resear…

IoTMultimediaComputer scienceRemote Access ControlIntelligent decision support systemStreaming DataCloud Computingcomputer.software_genreIntelligent SystemsMulti-agent SystemsNetworkingMobile Smart SystemsCrowdsourcingcomputerBroadband Systems
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Food memory and its relation with age and liking: An incidental learning experiment with children, young and elderly people

2008

International audience; The present study compared incidental learning and food memory in children, young adults and elderly people for three sensory modalities (taste, texture and aroma). The relation of gender and liker-status (i.e. how much we like a product) with food memory was also investigated. Participants received a complete meal including a custard dessert used as target under incidental learning conditions. 24 h later, participants were confronted with a series of samples consisting of the target and slightly modified versions of the target (distractors) and were unexpectedly asked to perform an ‘‘absolute memory’’ (‘‘Did you eat this sample yesterday?’’) and a ‘‘relative memory’…

MaleAROMA030309 nutrition & dieteticsDevelopmental psychologySurveys and QuestionnairesFood choiceChildGeneral Psychologymedia_commonAged 80 and over0303 health sciencesNutrition and DieteticsTASTESocial perceptionAge Factors04 agricultural and veterinary sciencesMiddle AgedodorsYesterday040401 food scienceTest (assessment)SmellPLEASANTNESSFemalerecognitionPsychologyConsumer Science & Intelligent SystemsAdultAdolescentmedia_common.quotation_subjectSensationTEXTURE03 medical and health sciencesFood Preferences0404 agricultural biotechnologyStimulus modalityAge DistributionMemoryPerceptionHumansSex DistributionAgedAFSG Food QualityMemoriaDiscrimination testingFoodSENSORY PERCEPTIONflavor memorytexture[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Effect of sensory education on willingness to taste novel food in children.

2008

International audience; As part of 'EduSens', a project aiming to measure the effect of a sensory education program developed in France on the food behaviour of school children, the present paper shows the results regarding neophobia. One hundred and eighty children (8-10 years old) were involved in the study. Half of them (experimental group) were educated during school-time with the 12 sessions of taste lessons "Les classes du go?by J. Puisais. The others served as a control group. Food neophobia was evaluated before and after the education period of the experimental group and once again 10 months later. An adapted food neophobia scale was used (AFNS) and the willingness to taste novel fo…

MaleTasteneophobiaPsychometrics030309 nutrition & dieteticsmedia_common.quotation_subject030209 endocrinology & metabolismNovel foodSensory systemPsychology ChildChild Nutrition SciencesDevelopmental psychologyinformation03 medical and health sciencesFood Preferences0302 clinical medicinePerceptionmedicineHumanshumansChildGeneral PsychologypreferencesComputingMilieux_MISCELLANEOUSmedia_common0303 health sciencesNutrition and Dietetics4. Education[SCCO.NEUR]Cognitive science/NeuroscienceNeophobiadigestive oral and skin physiologyFeeding Behaviormedicine.diseaseTest (assessment)[SDV.AEN] Life Sciences [q-bio]/Food and NutritionPhobic DisordersexposureTaste[ SCCO.NEUR ] Cognitive science/NeuroscienceTraitExploratory BehaviorFemaleFrancePsychologyConsumer Science & Intelligent Systems[SDV.AEN]Life Sciences [q-bio]/Food and NutritionPsychopathologyAppetite
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Fast Nash Hybridized Evolutionary Algorithms for Single and Multi-objective Design Optimization in Engineering

2014

Evolutionary Algorithms (EAs) are one of advanced intelligent systems and they occupied an important position in the class of optimizers for solving single-objective/reverse/inverse design and multi-objective/multi physics design problems in engineering. The chapter hybridizes the Genetic Algorithms (GAs) based computational intelligent system (CIS) with the concept of Nash-Equilibrium as an optimization pre-conditioner to accelerate the optimization procedure. Hybridized GAs and simple GAs are validated through solving five complex single-objective and multi-objective mathematical design problems. For real-world design problems, the hybridized GAs (Hybrid Intelligent System) and the origin…

Mathematical optimizationbusiness.industryEvolutionary algorithmIntelligent decision support systemInverseCADcomputer.software_genreFinite element methodHybrid intelligent systemSoftwareComputer Aided DesignArtificial intelligencebusinesscomputer
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Proceedings of the Ninth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017)

2018

This book presents 18 carefully selected papers from the ninth edition of the International Conference on Soft Computing and Pattern Recognition (SoCPaR 2017), which was held in Marrakesh, Morocco from December 11 to 13, 2017. A premier conference in the Soft Computing field, SoCPaR brings together the world’s leading researchers and practitioners interested in advancing the state of the art in Soft Computing and Pattern Recognition, allowing them to exchange notes on a broad range of disciplines. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering

Pattern RecognitionIntelligent SystemsComputing and ApplicationsSoft ComputingSoCPaR 2017
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