Search results for "soft"

showing 10 items of 9809 documents

Bridging Sensing and Decision Making in Ambient Intelligence Environments

2009

Context-aware and Ambient Intelligence environments represent one of the emerging issues in the last decade. In such intelligent environments, information is gathered to provide, on one hand, autonomic and easy to manage applications, and, on the other, secured access controlled environments. Several approaches have been defined in the literature to describe context-aware application with techniques to capture and represent information related to a specified domain. However and to the best of our knowledge, none has questioned the reliability of the techniques used to extract meaningful knowledge needed for decision making especially if the information captured is of multimedia types (image…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Ambient intelligenceComputer science02 engineering and technologycomputer.software_genreBridging (programming)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]uncertainty resolver modelHuman–computer interaction020204 information systemsResolver0202 electrical engineering electronic engineering information engineeringcontext-aware applicationsemantic-based020201 artificial intelligence & image processingData mining[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]computer
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Automatic Timeline Construction and Analysis For Computer Forensics Purposes

2014

International audience; To determine the circumstances of an incident, investigators need to reconstruct events that occurred in the past. The large amount of data spread across the crime scene makes this task very tedious and complex. In particular, the analysis of the reconstructed timeline, due to the huge quantity of events that occurred on a digital system, is almost impossible and leads to cognitive overload. Therefore, it becomes more and more necessary to develop automatic tools to help or even replace investigators in some parts of the investigation. This paper introduces a multi-layered architecture designed to assist the investigative team in the extraction of information left in…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Computer science[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]Digital forensicsEvent ReconstructionOntology (information science)Computer securitycomputer.software_genre[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Task (project management)[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]Timeline AnalysisCrime scene[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Event reconstructionOntologyTimelineComputer forensics16. Peace & justiceData science[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH][ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY]Digital Forensics[INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]computerCognitive load
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Semantic User Profiling for Digital Advertising

2015

International audience; With the emergence of real-time distribution of online advertising space (“real-time bidding”), user profiling from web navigation traces becomes crucial. Indeed, it allows online advertisers to target customers without interfering with their activities. Current techniques apply traditional methods as statistics and machine learning, but suffer from their limitations. As an answer, the proposed approach aims to develop and evaluate a semantic-based user profiling system for digital advertising.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Data AnalysisBig DataACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.5: Online Information Services[ INFO ] Computer Science [cs]OntologyACM : H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.1: Content Analysis and IndexingACM : H.: Information SystemsUser ProfilingACM: H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONSReasoningACM : H.: Information Systems/H.4: INFORMATION SYSTEMS APPLICATIONS[INFO] Computer Science [cs][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ACM : H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.4: Systems and Software/H.3.4.5: User profiles and alert servicesACM: H.: Information SystemsInferenceACM : H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.5: Online Information Services[INFO]Computer Science [cs]Logical Rules[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.1: Content Analysis and IndexingSWRLACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.4: Systems and Software/H.3.4.5: User profiles and alert servicesSemantic Web
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Some Computational Aspects of DISTANCE-SAT

2007

In many AI fields, one must face the problem of finding a solution that is as close as possible to a given configuration. This paper addresses this problem in a propositional framework. We introduce the decision problem distance-sat, which consists in determining whether a propositional formula admits a model that disagrees with a given partial interpretation on at most d variables. The complexity of distance-sat and of several restrictions of it are identified. Two algorithms based on the well-known Davis/Logemann/Loveland search procedure for the satisfiability problem sat are presented so as to solve distance-sat for CNF formulas. Their computational behaviors are compared with the ones …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Theoretical computer scienceComputational complexity theory0102 computer and information sciences02 engineering and technologyComputer Science::Computational Complexity01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]#SATArtificial IntelligenceComputer Science::Logic in Computer ScienceDPLL algorithm0202 electrical engineering electronic engineering information engineeringComputingMilieux_MISCELLANEOUSMathematicsDecision problemFunction problemSatisfiabilityPropositional formulaTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESComputational Theory and Mathematics010201 computation theory & mathematics020201 artificial intelligence & image processingBoolean satisfiability problemAlgorithmSoftware
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Enhancement and assessment of WKS variance parameter for intelligent 3D shape recognition and matching based on MPSO

2016

This paper presents an improved wave kernel signature (WKS) using the modified particle swarm optimization (MPSO)-based intelligent recognition and matching on 3D shapes. We select the first feature vector from WKS, which represents the 3D shape over the first energy scale. The choice of this vector is to reinforce robustness against non-rigid 3D shapes. Furthermore, an optimized WKS-based method for extracting key-points from objects is introduced. Due to its discriminative power, the associated optimized WKS values with each point remain extremely stable, which allows for efficient salient features extraction. To assert our method regarding its robustness against topological deformations,…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO ] Computer Science [cs]Matching (graph theory)Feature vectorComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[INFO] Computer Science [cs][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Kernel (linear algebra)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Discriminative modelRobustness (computer science)0202 electrical engineering electronic engineering information engineeringFeature (machine learning)[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]ComputingMilieux_MISCELLANEOUSMathematicsbusiness.industryParticle swarm optimization[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringPattern recognition020201 artificial intelligence & image processingArtificial intelligencebusinessEnergy (signal processing)
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Drivers-Inspired Ants for Solving the Vehicle Routing Problem with Time Windows

2016

International audience; In our study, we develop a method that merges two information sources within ants colony optimization heuristic. Namely artificial ants which occurs for short term optimization and transporter's vehicles that occurs in long term and continuous optimization toward solving the real-world vehicle routing problem. This study is supported by a transporter (Upsilon) of the region of l'Yonne in France and a transport and logistics software development company (Tedies). Our method suits for transporters that use human planners to make decisions about their tours and intending to move to computer planners without drastically upsetting the drivers habits. Hence, the pledge of …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO ] Computer Science [cs]Operations researchComputer scienceHeuristic (computer science)0211 other engineering and technologies02 engineering and technology[INFO] Computer Science [cs]Pledge[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Software[ SPI.NRJ ] Engineering Sciences [physics]/Electric powerVehicle routing problem0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]SimulationContinuous optimization021103 operations researchbusiness.industryAnt colony optimization algorithms[SPI.NRJ]Engineering Sciences [physics]/Electric powerSoftware development[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsTerm (time)020201 artificial intelligence & image processingbusiness[SPI.NRJ] Engineering Sciences [physics]/Electric power
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in Informatique graphique, modélisation géométrique et animation

2007

International audience; no abstract

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[INFO.INFO-RO] Computer Science [cs]/Operations Research [cs.RO][ INFO.INFO-NA ] Computer Science [cs]/Numerical Analysis [cs.NA][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-MS ] Computer Science [cs]/Mathematical Software [cs.MS][INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS][INFO.INFO-NA] Computer Science [cs]/Numerical Analysis [cs.NA][ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringComputingMilieux_MISCELLANEOUS[ INFO.INFO-RO ] Computer Science [cs]/Operations Research [cs.RO]
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Interactive evolution for cochlear implants fitting

2007

International audience; Cochlear implants are devices that become more and more sophisticated and adapted to the need of patients, but at the same time they become more and more difficult to parameterize. After a deaf patient has been surgically implanted, a specialised medical practitioner has to spend hours during months to precisely fit the implant to the patient. This process is a complex one implying two intertwined tasks: the practitioner has to tune the parameters of the device (optimisation) while the patient's brain needs to adapt to the new data he receives (learning). This paper presents a study that intends to make the implant more adaptable to environment (auditive ecology) and…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputer scienceProcess (engineering)[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingEcology (disciplines)02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingMedical practitioner[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Theoretical Computer Science03 medical and health sciences0302 clinical medicine[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC]Human–computer interaction0202 electrical engineering electronic engineering information engineering[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][ SDV.IB ] Life Sciences [q-bio]/Bioengineering030223 otorhinolaryngology[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing[SDV.IB] Life Sciences [q-bio]/BioengineeringInteractive evolutionComputer Science ApplicationsHardware and Architecture[SDV.IB]Life Sciences [q-bio]/Bioengineering020201 artificial intelligence & image processingImplant[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSoftware
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An Ontology-Based Approach for the Reconstruction and Analysis of Digital Incidents Timelines

2015

International audience; Due to the democratisation of new technologies, computer forensics investigators have to deal with volumes of data which are becoming increasingly large and heterogeneous. Indeed, in a single machine, hundred of events occur per minute, produced and logged by the operating system and various software. Therefore, the identification of evidence, and more generally, the reconstruction of past events is a tedious and time-consuming task for the investigators. Our work aims at reconstructing and analysing automatically the events related to a digital incident, while respecting legal requirements. To tackle those three main problems (volume, heterogeneity and legal require…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-WB] Computer Science [cs]/WebComputer scienceOntology PopulationDigital forensics[INFO.INFO-OH]Computer Science [cs]/Other [cs.OH][ INFO.INFO-WB ] Computer Science [cs]/Web02 engineering and technologyEvent ReconstructionOntology (information science)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]SoftwareKnowledge extraction[INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY]020204 information systemsForensic OntologyTimeline Analysis0202 electrical engineering electronic engineering information engineering[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Event reconstructionKnowledge Extractionbusiness.industry[INFO.INFO-WB]Computer Science [cs]/WebTimelineComputer forensicsData scienceComputer Science Applications[ INFO.INFO-CY ] Computer Science [cs]/Computers and Society [cs.CY][INFO.INFO-OH] Computer Science [cs]/Other [cs.OH]Medical Laboratory TechnologyIdentification (information)Digital Forensics[INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY][ INFO.INFO-OH ] Computer Science [cs]/Other [cs.OH]020201 artificial intelligence & image processingbusinessLaw
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A Federated Approach for Interoperating AEC/FM Ontologies

2016

International audience; Over the last few years, the benefits of applying ontologies (semantic graph modelling) for Architecture, Engineering, Construction and Facility Management (AEC/FM) industry have been recognized by several researchers and industry stakeholders. One of the main motivations is because it eases AEC data manipulation and representation. However, a research question that still remains open is how to take advantage of semantic web technologies to interoperate the AEC/FM and other ontologies in a flexible and dynamical way in order to solve data structure heterogeneity problem. Because of this, we propose in this paper to apply a rule-based federated architecture to answer …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-WB] Computer Science [cs]/WebHorn-like rules[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/WebifcOWLinteroperability[ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]federated architecture[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]AECsemantic heterogeneity[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]
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