Search results for "Edge"

showing 10 items of 3866 documents

Energy-Efficient Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT

2020

Edge computing provides a promising paradigm to support the implementation of industrial Internet of Things (IIoT) by offloading computational-intensive tasks from resource-limited machine-type devices (MTDs) to powerful edge servers. However, the performance gain of edge computing may be severely compromised due to limited spectrum resources, capacity-constrained batteries, and context unawareness. In this chapter, we consider the optimization of channel selection which is critical for efficient and reliable task delivery. We aim at maximizing the long-term throughput subject to long-term constraints of energy budget and service reliability. We propose a learning-based channel selection fr…

Computer scienceServerReliability (computer networking)Distributed computingResource allocationContext (language use)Lyapunov optimizationEnhanced Data Rates for GSM EvolutionEdge computingEfficient energy use
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Visual knowledge processing in computer-assisted radiology: A consultation system

1992

This paper presents Visual Heuristics, a consultation system for diagnosis based on thorax radiograph recording. Visual Heuristics uses both prototypical representations of physiological and pathological states and reasoning aimed to infer conclusions from pathological or physiological conditions, establishing correspondences between pathological or physiological states and semantic descriptions of images. Images are assembled with groups of descriptors that guide the recognition process, achieving the possibility of comparisons with real images on the basis of 'expected' images. The system may be employed to generate a dynamic atlas that does not contain proper images, but generates them.

Computer scienceThoracicComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONExpert Systemscomputer.software_genreComputer-AssistedArtificial IntelligenceConsultation systemDiagnosisHumansDiagnosis Computer-AssistedArtificial Intelligence Diagnosis; Computer-Assisted; instrumentation Expert Systems Humans Radiographic Image Interpretation; instrumentation Radiography; Thoracic; instrumentation SoftwareinstrumentationObject-oriented programmingbusiness.industryComputer aidKnowledge processingProcess (computing)Radiographic Image InterpretationReal imageVisualizationRadiographyRadiographic Image Interpretation Computer-AssistedRadiography ThoracicArtificial intelligenceData miningbusinessHeuristicscomputerSoftwareNatural language processing
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PV-Alert: A fog-based architecture for safeguarding vulnerable road users

2017

International audience; High volumes of pedestrians, cyclists and other vulnerable road users (VRUs) have much higher casualty rates per mile; not surprising given their lack of protection from an accident. In order to alleviate the problem, sensing capabilities of smartphones can be used to detect, warn and safeguard these road users. In this research we propose an infrastructure-less fog-based architecture named PV-Alert (Pedestrian-Vehicle Alert) where fog nodes process delay sensitive data obtained from smartphones for alerting pedestrians and drivers before sending the data to the cloud for further analysis. Fog computing is considered in developing the architecture since it is an emer…

Computer science[SPI] Engineering Sciences [physics]Reliability (computer networking)mobile computingLatency (audio)traffic engineering computingCloud computing02 engineering and technologyFog ComputingComputer securitycomputer.software_genreroad vehicles[SPI]Engineering Sciences [physics]Low Latency0502 economics and businessPedestrian Safety0202 electrical engineering electronic engineering information engineeringWirelessComputer architectureArchitecturewireless LANEdge computing050210 logistics & transportationbusiness.industry05 social sciencesLocation awarenessroad traffic020206 networking & telecommunicationsVehiclesEdge computingsmart phonesVulnerable Road UsersRoadsroad accidentsCrowd sensingAccidentsScalabilitymobile radioSafetybusinessroad safetycomputer
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Simulating socially intelligent agents in semantic virtual environments

2008

AbstractThe simulation of synthetic humans inhabiting virtual environments is a current research topic with a great number of behavioral problems to be tackled. Semantical virtual environments (SVEs) have recently been proposed not only to ease world modeling but also to enhance the agent–object and agent–agent interaction. Thus, we propose the use of ontologies to define the world’s knowledge base and to introduce semantic levels of detail that help the sensorization of complex scenes—containing lots of interactive objects. The object taxonomy also helps to create general and reusable operativity for autonomous characters—for example, liquids can be poured from containers such as bottles. …

Computer sciencebusiness.industryArtificial societyOntology (information science)Object (computer science)computer.software_genreSocial relationTask (project management)Intelligent agentKnowledge baseArtificial IntelligenceHuman–computer interactionTaxonomy (general)Artificial intelligencebusinesscomputerSoftwareThe Knowledge Engineering Review
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Localization and Activity Classification of Unmanned Aerial Vehicle Using mmWave FMCW Radars

2021

In this article, we present a novel localization and activity classification method for aerial vehicle using mmWave frequency modulated continuous wave (FMCW) Radar. The localization and activity classification for aerial vehicle enables the utilization of mmWave Radars in security surveillance and privacy monitoring applications. In the proposed method, Radar’s antennas are oriented vertically to measure the elevation angle of arrival of the aerial vehicle from ground station. The height of the aerial vehicle and horizontal distance of the aerial vehicle from Radar station on ground are estimated using the measured radial range and the elevation angle of arrival. The aerial vehicle’s activ…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONComputerApplications_COMPUTERSINOTHERSYSTEMSConvolutional neural networklaw.inventionSupport vector machinelawActivity classificationChirpRange (statistics)Computer visionGradient boostingArtificial intelligenceElectrical and Electronic EngineeringRadarbusinessInstrumentationEdge computingIEEE Sensors Journal
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Seam-Based Edge Blending for Multi-Projection Systems

2016

Perceptual seamlessness of large-scale tiled displays is still a challenge. One way to avoid Bezel effects from contiguous displays is to blend superimposed parts of the image over the edges. This work proposes a new approach for edge blending. It is based on intensity edge blending adapted on the seam description of the image content. The main advantage of this method is to reduce visual artifacts thanks to context adaptation and smooth transitions. We evaluate the quality of the method with a perceptual experiment where it is compared with state-of-the-art methods. The new method shows most improvement in low frequency areas compared to the other techniques. This method can be inserted in…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage content020207 software engineering02 engineering and technologyEdge (geometry)01 natural scienceslaw.inventionImage (mathematics)010309 opticsProjectorContext adaptationSeam carvinglaw0103 physical sciencesSignal Processing0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligenceVisual artifactProjection (set theory)businessComputingMethodologies_COMPUTERGRAPHICSInternational Journal of Signal Processing, Image Processing and Pattern Recognition
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Vertical scratches detection based on edge detection for old film

2010

Automatic detection of image damaged regions is the key to automatic video image inpainting. Vertical scratches are the common damages in the old film. In this paper, a vertical scratches detection algorithm based on edge detection is proposed. The proposed algorithm first uses the operator which has the largest response to the vertical edge in Sobel operator to detect edges, and then uses canny operator to detect edges further. Third, we detect vertical lines in the image through probabilistic Hough transform. Finally, we obtain the true locations of the vertical lines scratches through morphology and width constraints. Many experiments show that our method can detect vertical line scratch…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInpaintingSobel operatorVertical barEdge detectionImage (mathematics)Operator (computer programming)Canny edge detectorComputer visionArtificial intelligencebusinessImage restorationMathematicsofComputing_DISCRETEMATHEMATICS2010 2nd International Conference on Industrial and Information Systems
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Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images

2021

Medical systems and assistive technologies, human-computer interaction, human-robot interaction, industrial automation, virtual environment control, sign language translation, crisis and disaster management, entertainment and computer games, and so on all use RGB cameras for hand gesture recognition. However, their performance is limited especially in low-light conditions. In this paper, we propose a robust hand gesture recognition system based on high-resolution thermal imaging that is light-independent. A dataset of 14,400 thermal hand gestures is constructed, separated into two color tones. We also propose using a deep CNN to classify high-resolution hand gestures accurately. The propose…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSign languagecomputer.software_genreAutomationVirtual machineGesture recognitionBenchmark (computing)RGB color modelComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessInstrumentationcomputerEdge computingGestureIEEE Sensors Journal
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Ridge-line optimal detector

2000

Image processing techniques have seen many developments in recent years. Starting from the pioneering work of Canny, Deriche developed a second order recursive filter capable of detecting stepped contours. However, there are other contour shapes that those filters struggle to detect. We describe a new optimal filter sensu Canny for detecting ridge-line contours. This is a third order recursive and even filter. It is dependent on three parameters by which detection accuracy is adjusted. The results obtained by applying this filter to (possibly noise- affected) images are compared with those in the work by Ziou. © 2000 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(00)00706-6)

Computer sciencebusiness.industryDetectorGeneral EngineeringImage processingAtomic and Molecular Physics and OpticsDeriche edge detectorNoiseFilter designSignal-to-noise ratioFilter (video)Computer visionRecursive filterArtificial intelligenceOptical filterbusinessDigital filterSmoothingOptical Engineering
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Parallel implementation on DSPs of a face detection algorithm

2002

In order to localize the face in an image, our approach consists of approximating the face oval shape with an ellipse and to compute coordinates of the center of the ellipse. For this purpose, we explore a new version of the Hough transformation: the fuzzy generalized Hough transformation. To reduce the computation time, we present also a parallel implementation of the algorithm on 2 digital signal processors and we show that an acceleration of a factor of 1.62 has been obtained.

Computer sciencebusiness.industryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONParallel algorithmEllipseFacial recognition systemEdge detectionHough transformlaw.inventionObject-class detectionlawFace (geometry)Computer visionArtificial intelligenceFace detectionbusiness
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