Search results for " Computer-Aided design"

showing 10 items of 232 documents

QUALITY SYSTEM FOR PRODUCTION SOFTWARE (QSPS): AN INNOVATIVE APPROACH TO IMPROVE THE QUALITY OF PRODUCTION SOFTWARE

2013

A quality system for production software should be part of the quality management system of an organization and can be expressed as objectives in the form of processes, procedures, tools and responsibilities, designed and developed to fulfil the quality requirements. These usually are addressing the customers (external or internal), compliance with standards (effectiveness) waste reduction and better use of resources (efficiency) for continual improvement. Such systems are designed according to the requirements of the standards for quality management, software engineering and information security. Quality systems themselves could not provide all necessary means for driving the organization…

EngineeringProcess managementComputer Networks and Communicationsbusiness.industrySoftware developmentComputer Graphics and Computer-Aided DesignSoftware qualityArtificial IntelligenceSoftware sizingSoftware constructionSoftware quality analystSoftware quality managementSoftware verification and validationSoftware engineeringbusinessSoftwareSoftware quality controlInternational Journal of Software Engineering and Knowledge Engineering
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Visual scale factor for speed perception

2011

Speed perception is an important task depending mainly on optic flow that the driver must perform continuously to control his/her vehicle. Unfortunately, it appears that in some driving simulators speed perception is under estimated, leading into speed production higher than in real conditions. Perceptual validity is then not good enough to study driver’s behavior. To solve this problem, a technique has recently seen the light, which consists of modifying the geometric field of view (GFOV) while keeping the real field of view (FOV) constant. We define our visual scale factor as the ratio between the GFOV and the FOV. The present study has been carried out on the SAAM dynamic driving simulat…

EngineeringSynthèse d'image et réalité virtuelle [Informatique]media_common.quotation_subject[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Field of view02 engineering and technologyVisual scaleperceptionIndustrial and Manufacturing EngineeringRendering (computer graphics)Perception0202 electrical engineering electronic engineering information engineeringDriving simulation0501 psychology and cognitive sciencesComputer vision050107 human factorsSimulationmedia_commondriving simulationbusiness.industry05 social sciencesDriving simulator[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]Computer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science ApplicationsVibrationInterface homme-machine [Informatique]Speed perception020201 artificial intelligence & image processingArtificial intelligencebusinessfield of viewSoftware
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A Note on the Shear Influence on Belt Drive Mechanics

2007

Abstract Belt drives work often with short center distances and very different wrap arcs so that high adherence characteristics are required at the belt-pulley contact. In addition, the belt flexural stiffness reduces the contact width, but this decrease may be compensated in part by the belt softening due to the shear compliance.

Engineeringbusiness.industryMechanical EngineeringBelt frictionFlexural rigidityMechanicsStructural engineeringBelt driveComputer Graphics and Computer-Aided DesignComputer Science ApplicationsShear (geology)Mechanics of MaterialsbusinessSofteningJournal of Mechanical Design
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A Simple Model for the Axial Thrust in V-Belt Drives

1996

Simple formulas can relate axial thrust and torque of rubber V-belt drives, taking into consideration the radial penetration of the belt.

Engineeringbusiness.industryMechanical EngineeringNumerical analysisAxial thrustThrustMechanicsMechanical driveBelt driveComputer Graphics and Computer-Aided DesignComputer Science ApplicationsNatural rubberMechanics of MaterialsSimple (abstract algebra)visual_artForensic engineeringvisual_art.visual_art_mediumTorquebusinessJournal of Mechanical Design
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A Model for Capturing Product Assembly Information

2005

The important issue of mechanical assemblies has been a subject of intense research over the past several years. Most electromechanical products are assemblies of several components, for various technical as well as economic reasons. This paper provides an object-oriented definition of an assembly model called the Open Assembly Model (OAM) and defines an extension to the NIST Core Product Model (NIST-CPM). The assembly model represents the function, form, and behavior of the assembly and defines both a system level conceptual model and associated hierarchical relationships. The model provides a way for tolerance representation and propagation, kinematics representation, and engineering anal…

Engineeringbusiness.industryProcess (engineering)media_common.quotation_subjectConceptual model (computer science)Data structureComputer Graphics and Computer-Aided DesignIndustrial and Manufacturing EngineeringComputer Science ApplicationsUnified Modeling LanguageCore productAssembly modellingSystems engineeringbusinessFunction (engineering)computerSoftwareEngineering analysiscomputer.programming_languagemedia_commonJournal of Computing and Information Science in Engineering
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Food Tray Sealing Fault Detection in Multi-Spectral Images Using Data Fusion and Deep Learning Techniques

2021

A correct food tray sealing is required to preserve food properties and safety for consumers. Traditional food packaging inspections are made by human operators to detect seal defects. Recent advances in the field of food inspection have been related to the use of hyperspectral imaging technology and automated vision-based inspection systems. A deep learning-based approach for food tray sealing fault detection using hyperspectral images is described. Several pixel-based image fusion methods are proposed to obtain 2D images from the 3D hyperspectral image datacube, which feeds the deep learning (DL) algorithms. Instead of considering all spectral bands in region of interest around a contamin…

Envasos de plàsticComputer sciencehyperspectral imagingComputer applications to medicine. Medical informaticsR858-859.7Convolutional neural networkArticleDeep belief networkPhotographyRadiology Nuclear Medicine and imagingElectrical and Electronic EngineeringTR1-1050Extreme learning machineImage fusiondata fusionbusiness.industryDeep learningHyperspectral imagingdeep learningPattern recognitionAliments ConservacióQA75.5-76.95Sensor fusionComputer Graphics and Computer-Aided DesignAutoencoderfault detectionElectronic computers. Computer scienceComputer Vision and Pattern RecognitionArtificial intelligenceTecnologia dels alimentsbusinessfood packagingJournal of Imaging
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AIOC2: A deep Q-learning approach to autonomic I/O congestion control in Lustre

2021

Abstract In high performance computing systems, I/O congestion is a common problem in large-scale distributed file systems. However, the current implementation mainly requires administrator to manually design low-level implementation and optimization, we proposes an adaptive I/O congestion control framework, named AIOC 2 , which can not only adaptively tune the I/O congestion control parameters, but also exploit the deep Q-learning method to start the training parameters and optimize the tuning for different types of workloads from the server and the client at the same time. AIOC 2 combines the feedback-based dynamic I/O congestion control and deep Q-learning parameter tuning technology to …

ExploitComputer Networks and CommunicationsComputer sciencebusiness.industryQ-learningInterference (wave propagation)SupercomputerComputer Graphics and Computer-Aided DesignTheoretical Computer ScienceNetwork congestionArtificial IntelligenceHardware and ArchitectureEmbedded systemLustre (file system)Latency (engineering)businessThroughput (business)SoftwareParallel Computing
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Statistical atlas based exudate segmentation

2013

Diabetic macular edema (DME) is characterized by hard exudates. In this article, we propose a novel statistical atlas based method for segmentation of such exudates. Any test fundus image is first warped on the atlas co-ordinate and then a distance map is obtained with the mean atlas image. This leaves behind the candidate lesions. Post-processing schemes are introduced for final segmentation of the exudate. Experiments with the publicly available HEI-MED data-set shows good performance of the method. A lesion localization fraction of 82.5% at 35% of non-lesion localization fraction on the FROC curve is obtained. The method is also compared to few most recent reference methods.

ExudateComputer scienceFundus imageDiabetic macular edemaHealth Informatics02 engineering and technologyMacular Edema030218 nuclear medicine & medical imaging03 medical and health sciencesAtlases as Topic0302 clinical medicine0202 electrical engineering electronic engineering information engineeringmedicineHumansRadiology Nuclear Medicine and imagingSegmentationComputer visionDiabetic RetinopathyModels StatisticalRadiological and Ultrasound TechnologyAtlas (topology)business.industryExudates and TransudatesComputer Graphics and Computer-Aided DesignUnited StatesHard exudates020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceAnatomic Landmarksmedicine.symptombusinessDistance transformComputerized Medical Imaging and Graphics
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Uncommon Suffix Tries

2011

Common assumptions on the source producing the words inserted in a suffix trie with $n$ leaves lead to a $\log n$ height and saturation level. We provide an example of a suffix trie whose height increases faster than a power of $n$ and another one whose saturation level is negligible with respect to $\log n$. Both are built from VLMC (Variable Length Markov Chain) probabilistic sources; they are easily extended to families of sources having the same properties. The first example corresponds to a ''logarithmic infinite comb'' and enjoys a non uniform polynomial mixing. The second one corresponds to a ''factorial infinite comb'' for which mixing is uniform and exponential.

FOS: Computer and information sciencesCompressed suffix arrayPolynomialLogarithmGeneral MathematicsSuffix treevariable length Markov chain[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Generalized suffix treeprobabilistic source0102 computer and information sciences02 engineering and technologysuffix trie01 natural scienceslaw.inventionCombinatoricslawComputer Science - Data Structures and AlgorithmsTrieFOS: Mathematics0202 electrical engineering electronic engineering information engineeringData Structures and Algorithms (cs.DS)Mixing (physics)[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]MathematicsDiscrete mathematicsApplied MathematicsProbability (math.PR)020206 networking & telecommunicationssuffix trie.Computer Graphics and Computer-Aided Design[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]010201 computation theory & mathematicsmixing properties60J05 37E05Suffix[ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR]Mathematics - ProbabilitySoftware
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Statistical Performance Analysis of a Fast Super-Resolution Technique Using Noisy Translations.

2014

It is well known that the registration process is a key step for super-resolution reconstruction. In this work, we propose to use a piezoelectric system that is easily adaptable on all microscopes and telescopes for controlling accurately their motion (down to nanometers) and therefore acquiring multiple images of the same scene at different controlled positions. Then a fast super-resolution algorithm \cite{eh01} can be used for efficient super-resolution reconstruction. In this case, the optimal use of $r^2$ images for a resolution enhancement factor $r$ is generally not enough to obtain satisfying results due to the random inaccuracy of the positioning system. Thus we propose to take seve…

FOS: Computer and information sciences[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingPositioning systemComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONsuper-resolution02 engineering and technologyIterative reconstructionMethodology (stat.ME)[INFO.INFO-TS]Computer Science [cs]/Signal and Image ProcessingPosition (vector)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringComputer visionImage resolutionStatistics - Methodologyerror analysis[STAT.AP]Statistics [stat]/Applications [stat.AP]business.industryreconstruction algorithms[ STAT.AP ] Statistics [stat]/Applications [stat.AP]Process (computing)high-resolution imaging020206 networking & telecommunicationsFunction (mathematics)Computer Graphics and Computer-Aided DesignSuperresolutionperformance evaluation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]microscopy020201 artificial intelligence & image processingAlgorithm designArtificial intelligencebusinessSoftwareIEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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