Search results for "COMPUTATION"

showing 10 items of 7362 documents

Semantic and Multi-scale BIM/CIM/LIM

2019

Compliance checking for building models, cities and territories involve formalizing a set of model schema knowledge and constraint. The objective of our study is to propose: an information model to federate heterogeneous data sources describing an urban area (building and building environment) along with a method for formally specifying of urban rules. The overall goal we pursue is to be able to query and to verify data against different regulations and/or requirements. The purpose of this article is to describe our approach for interoperability among different data sources (e.g. IFC, CityGML) thus creating a consistent description of an urban area.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]FédérationSemantic interoperabilityCityGML[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]GISSIGInteropérabilité sémantique[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL][SPI.GCIV] Engineering Sciences [physics]/Civil EngineeringBIMIFCCIMFederation BIM
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop (LDAC2020)

2020

International audience

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GCIV]Engineering Sciences [physics]/Civil Engineering[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-CE]Computer Science [cs]/Computational Engineering Finance and Science [cs.CE][INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][SPI.GCIV] Engineering Sciences [physics]/Civil Engineering[INFO.INFO-CE] Computer Science [cs]/Computational Engineering Finance and Science [cs.CE]ComputingMilieux_MISCELLANEOUS[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Proceedings of 6th Linked Data in Architecture and Construction Workshop (LDAC2018)

2018

International audience

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GCIV]Engineering Sciences [physics]/Civil Engineering[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][SPI.GCIV] Engineering Sciences [physics]/Civil Engineering[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]ComputingMilieux_MISCELLANEOUS[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Nouvelles perspectives du BIM

2021

Les dernières avancées dans la modélisation des informations du bâtiment et la maquette numérique ont permis d'améliorer l'efficacité des livraisons et performances, en catalysant des méthodes de travail innovantes dans le domaine général de l'architecture, de l'ingénierie et de la construction (AEC). Malgré les nombreux outils et technologies numériques et les différentes normes ouvertes BIM, il demeure un besoin croissant d'interopérabilité entre acteurs et logiciels.Allant de cas d'études constitués par des projets industriels réels à des projets recherche, les six chapitres de cet ouvrage témoignent de l'intérêt de la filière et des entreprises pour adapter et faire évoluer leurs pratiq…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GPROC] Engineering Sciences [physics]/Chemical and Process Engineering[INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-CE] Computer Science [cs]/Computational Engineering Finance and Science [cs.CE][SPI.GCIV.CD] Engineering Sciences [physics]/Civil Engineering/Construction durable[INFO.INFO-IA] Computer Science [cs]/Computer Aided Engineering
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Inverse Tone Mapping Based upon Retina Response

2014

International audience; The development of high dynamic range (HDR) display arouses the research of inverse tone mapping methods, which expand dynamic range of the low dynamic range (LDR) image to match that of HDR monitor. This paper proposed a novel physiological approach, which could avoid artifacts occurred in most existing algorithms. Inspired by the property of the human visual system (HVS), this dynamic range expansion scheme performs with a low computational complexity and a limited number of parameters and obtains high-quality HDR results. Comparisons with three recent algorithms in the literature also show that the proposed method reveals more important image details and produces …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]Computational complexity theoryArticle SubjectComputer sciencemedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONlcsh:MedicineTone mappinglcsh:TechnologyRetinaGeneral Biochemistry Genetics and Molecular BiologyImage (mathematics)BiomimeticsDistortionImage Interpretation Computer-AssistedHumansContrast (vision)Computer visionlcsh:ScienceHigh dynamic rangeGeneral Environmental Sciencemedia_commonDynamic rangebusiness.industrylcsh:Tlcsh:RGeneral MedicineImage EnhancementHuman visual system modellcsh:QArtificial intelligence[ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR]businessAlgorithmsColor PerceptionResearch ArticleThe Scientific World Journal
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Scheduling independent stochastic tasks on heterogeneous cloud platforms

2019

International audience; This work introduces scheduling strategies to maximize the expected number of independent tasks that can be executed on a cloud platform within a given budget and under a deadline constraint. The cloud platform is composed of several types of virtual machines (VMs), where each type has a unitexecution cost that depends upon its characteristics. The amount of budget spent during the execution of a task on a given VM is the product of its execution length by the unit execution cost of that VM. The execution lengths of tasks follow a variety of standard probability distributions (exponential, uniform, halfnormal, etc.), which is known beforehand and whose mean and stand…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]020203 distributed computingComputer scienceStochastic processbusiness.industryDistributed computing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Processor schedulingCloud computing02 engineering and technologycomputer.software_genreScheduling (computing)Virtual machine0202 electrical engineering electronic engineering information engineeringTask analysisProbability distribution020201 artificial intelligence & image processing[INFO]Computer Science [cs][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]InterruptHeuristicsbusinesscomputer
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Whole mirror duplication-random loss model and pattern avoiding permutations

2010

International audience; In this paper we study the problem of the whole mirror duplication-random loss model in terms of pattern avoiding permutations. We prove that the class of permutations obtained with this model after a given number p of duplications of the identity is the class of permutations avoiding the alternating permutations of length p2+1. We also compute the number of duplications necessary and sufficient to obtain any permutation of length n. We provide two efficient algorithms to reconstitute a possible scenario of whole mirror duplications from identity to any permutation of length n. One of them uses the well-known binary reflected Gray code (Gray, 1953). Other relative mo…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Class (set theory)0206 medical engineeringBinary number0102 computer and information sciences02 engineering and technology[ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]01 natural sciencesIdentity (music)Combinatorial problemsTheoretical Computer ScienceGray codeCombinatoricsPermutation[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM]Gene duplicationRandom loss[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]Pattern avoiding permutationGenerating algorithmComputingMilieux_MISCELLANEOUSMathematicsDiscrete mathematicsWhole duplication-random loss modelMathematics::CombinatoricsGenomeParity of a permutationComputer Science Applications[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO][ INFO.INFO-CC ] Computer Science [cs]/Computational Complexity [cs.CC]Binary reflected Gray code010201 computation theory & mathematicsSignal Processing[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]020602 bioinformaticsAlgorithmsInformation Systems
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Topological properties of cellular automata on trees

2012

We prove that there do not exist positively expansive cellular automata defined on the full k-ary tree shift (for k>=2). Moreover, we investigate some topological properties of these automata and their relationships, namely permutivity, surjectivity, preinjectivity, right-closingness and openness.

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]FOS: Computer and information sciencesDiscrete Mathematics (cs.DM)Formal Languages and Automata Theory (cs.FL)FOS: Physical sciencesComputer Science - Formal Languages and Automata Theory0102 computer and information sciences[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Computational Complexity (cs.CC)Topology01 natural scienceslcsh:QA75.5-76.95[INFO.INFO-FL]Computer Science [cs]/Formal Languages and Automata Theory [cs.FL]0101 mathematicsF.1.1;F.1.2;F.1.3MathematicsCellular Automata and Lattice Gases (nlin.CG)lcsh:Mathematics010102 general mathematicsCellular automaton tree shift expansivity permutivity right-closingness opennesslcsh:QA1-939Nonlinear Sciences::Cellular Automata and Lattice GasesCellular automatonAutomatonComputer Science - Computational Complexity010201 computation theory & mathematicsTree (set theory)lcsh:Electronic computers. Computer scienceF.1.2F.1.3ExpansiveNonlinear Sciences - Cellular Automata and Lattice GasesF.1.1Computer Science::Formal Languages and Automata TheoryComputer Science - Discrete Mathematics
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Scheduling independent stochastic tasks under deadline and budget constraints

2018

This article discusses scheduling strategies for the problem of maximizing the expected number of tasks that can be executed on a cloud platform within a given budget and under a deadline constraint. The execution times of tasks follow independent and identically distributed probability laws. The main questions are how many processors to enroll and whether and when to interrupt tasks that have been executing for some time. We provide complexity results and an asymptotically optimal strategy for the problem instance with discrete probability distributions and without deadline. We extend the latter strategy for the general case with continuous distributions and a deadline and we design an ef…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]Mathematical optimizationOperations researchComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Cloud computing[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyExpected valueTheoretical Computer ScienceScheduling (computing)[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]deadline0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]schedulingComputer Science::Operating SystemsComputingMilieux_MISCELLANEOUSBudget constraint020203 distributed computingcloud platformindependent tasksbusiness.industry[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationstochastic costAsymptotically optimal algorithmContinuous distributions[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Hardware and ArchitectureProbability distribution[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]020201 artificial intelligence & image processingInterrupt[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessSoftwarebudget
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Probability and algorithmics: a focus on some recent developments

2017

Jean-François Coeurjolly, Adeline Leclercq-Samson Eds.; International audience; This article presents different recent theoretical results illustrating the interactions between probability and algorithmics. These contributions deal with various topics: cellular automata and calculability, variable length Markov chains and persistent random walks, perfect sampling via coupling from the past. All of them involve discrete dynamics on complex random structures.; Cet article présente différents résultats récents de nature théorique illustrant les interactions entre probabilités et algorithmique. Ces contributions traitent de sujets variés : automates cellulaires et calculabilité, chaînes de Mark…

[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]T57-57.97Focus (computing)Applied mathematics. Quantitative methodsTheoretical computer scienceMarkov chainComputer science[MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS][INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]Variable lengthRandom walkCellular automaton[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Perfect sampling[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]Coupling from the past[INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Algorithmics[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]QA1-939Mathematics
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