Search results for "intelligence"

showing 10 items of 6959 documents

2020

Visually induced motion sickness is an unpleasant but common side-effect of many simulations and VR-applications. We investigated whether an earth-fixed reference frame provided in the simulation is able to reduce motion sickness. To do so, we created a moving starfield that did not contain any indicators of the spatial orientation of the observer. The observer wore a head-mounted display (HTC Vive) and was simulated to move through the randomly oscillating starfield, a time-to-contact task had to be carried out. Two colored stars on collision course with each other had to be spotted, then they disappeared and the time of their collision had to be judged. Eye-movements, task performance, an…

business.industryComputer scienceHorizon05 social sciencesObserver (special relativity)medicine.diseaseCollision050105 experimental psychology03 medical and health sciences0302 clinical medicineMotion sicknessHorizon linemedicine0501 psychology and cognitive sciencesComputer visionArtificial intelligencebusiness030217 neurology & neurosurgeryStarfieldReference frameFrontiers in Virtual Reality
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Towards A Deep-Learning-Based Methodology for Supporting Satire Detection (S)

2021

business.industryComputer scienceHuman–computer interactionDeep learningArtificial intelligencebusinessInternational Conferences on Distributed Multimedia Systems
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Decay Detection in Citrus Fruits Using Hyperspectral Computer Vision

2012

The citrus industry is nowadays an important part of the Spanish agricultural sector. One of the main problems present in the citrus industry is decay caused by Penicillium digitatum and Penicillium italicum fungi. Early detection of decay produced by fungi in citrus is especially important for the citrus industry of distribution. This chapter presents a hyperspectral computer vision system and a set of machine learning techniques in order to detect decay caused by Penicillium digitatum and Penicillium italicum fungi that produce more economic losses to the sector. More specifically, the authors employ a hyperspectral system and artificial neural networks. Nowadays, inspection and removal o…

business.industryComputer scienceHyperspectral imagingComputer visionArtificial intelligencebusiness
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Towards Risk-aware Access Control Framework for Healthcare Information Sharing

2018

business.industryComputer scienceInformation sharingInternet privacyHealth care0202 electrical engineering electronic engineering information engineering020206 networking & telecommunications020201 artificial intelligence & image processingAccess control02 engineering and technologybusinessProceedings of the 4th International Conference on Information Systems Security and Privacy
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Cognitive intelligent sensory system for vision-based quality control

2003

This paper presents an original approach for a vision-based quality control system, built around a cognitive intelligent sensory system. The principle of the approach relies on two steps. First, a so-called initialization phase leads to structural knowledge on image acquisition conditions, type of illumination sources, etc. Second, the image is iteratively evaluated using this knowledge and complementary information (e.g., CAD models, and tolerance information). Finally, the information describing the quality of the piece under evaluation is extracted. A further aim of the approach is to enable building strategies that determine for instance the “next best view” required for completing the …

business.industryComputer scienceInitializationCADSolid modeling3D modelingcomputer.software_genreSoftwareKnowledge baseControl systemComputer Aided DesignComputer visionArtificial intelligenceData miningbusinesscomputerSPIE Proceedings
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High Level Modeling and Hardware Implementation of Image Processing Algorithms Using XSG

2019

International audience; Design of Systems-on-Chip has become very common especially with the remarkable advances in the field of high-level system modeling. In recent years, Matlab also offers a Simulink interface for the design of hardware systems. From a high-level specification, Matlab provides self-generation of HDL codes and/or FPGA configuration codes while providing other benefits of easy simulation. In addition, a large part of the Systems-on-Chip use at least one image processing algorithm and at the same time border detection is one of the most used algorithms. This paper presents a study and a hardware implementation of various algorithms of borders detection realized under Xilin…

business.industryComputer scienceInterface (computing)[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]020207 software engineeringImage processing02 engineering and technologySystems modelingEdge detection[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]VHDLDigital image processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessMATLABField-programmable gate arraycomputerComputer hardwarecomputer.programming_language
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An Introduction to Ontology Based Structured Knowledge Base System: Knowledge Acquisition Module

2013

The following text presents the method of supplementing and verifying information stored in a framework system of the semantic knowledge base. The indicated method refers to the knowledge of ontological character, in other words to information about definitions of concepts and relationships among them. The aim of the method is the constant supplementing and verifying of the knowledge, and making more precise and detailed information about existing connections between concepts. The key aspect of the method is questions generating strictly dependent on the preconceived structure of stored knowledge.

business.industryComputer scienceKnowledge engineeringOpen Knowledge Base ConnectivityProcedural knowledgecomputer.software_genreKnowledge-based systemsKnowledge extractionKnowledge baseKnowledge integrationDomain knowledgeArtificial intelligencebusinesscomputerNatural language processing
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An Innovative Similarity Measure for Sentence Plagiarism Detection

2016

We propose and experimentally assess Semantic Word Error Rate (SWER), an innovative similarity measure for sentence plagiarism detection. SWER introduces a complex approach based on latent semantic analysis, which is capable of outperforming the accuracy of competitor methods in plagiarism detection. We provide principles and functionalities of SWER, and we complement our analytical contribution by means of a significant preliminary experimental analysis. Derived results are promising, and confirm to use the goodness of our proposal.

business.industryComputer scienceLatent semantic analysisPlagiarism DetectionComputer Science (all)Sentence similarity measureWord error rate02 engineering and technologySimilarity measurecomputer.software_genreComplement (complexity)Theoretical Computer SciencePlagiarism detection020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingPlagiarism detectionArtificial intelligenceSentence Similarity MeasurebusinesscomputerNatural language processingSentencePlagiarism detection; Sentence similarity measure; Theoretical Computer Science; Computer Science (all)
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Effects of Topic Familiarity on Analogical Transfer in Problem-Solving: A Think-Aloud Study of Two Singular Cases

2015

We conducted a qualitative research of case studies based on think-aloud protocols. The aim was to carry out in-depth analyse secondary students¿ cognitive difficulties appearing in early stages of transfer processes in problem-solving. The task was to relate several source problems to a target problem, in order to solve it effectively. Source and target problems had different Surface and/or Structural similarities. In this paper, the solvers¿ high or low Familiarity with the problem stories on transfer processes was also focused on. Two emergent instructional phenomena are described, both associated to specific students¿ cognitive obstacles to achieve success in solving the target problem:…

business.industryComputer scienceLogical reasoningApplied MathematicsSisyphus effectProtocol analysisCognitionSolució de problemesMatemàtica EnsenyamentCiència EnsenyamentEducationTask (project management)Task analysisArtificial intelligencebusinessThink aloud protocolQualitative researchCognitive psychology
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Randomized Hough Transform for Ellipse Detection with Result Clustering

2005

Our research is focused on the development of robust machine vision algorithms for pattern recognition. We want to provide robotic systems the ability to understand more on the external real world. In this paper, we describe a method for detecting ellipses in real world images using the randomized Hough transform with result clustering. A preprocessing phase is used in which real world images are transformed - noise reduction, greyscale transform, edge detection and final binarization - in order to be processed by the actual ellipse detector. The ellipse detector filters out false ellipses that may interfere with the final results. Due to the fact that usually more "virtual" ellipses are de…

business.industryComputer scienceMachine visionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionEllipseGrayscaleEdge detectionHough transformlaw.inventionRandomized Hough transformlawPattern recognition (psychology)Artificial intelligencebusinessCluster analysisEUROCON 2005 - The International Conference on "Computer as a Tool"
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