Search results for "RDW"

showing 10 items of 1401 documents

Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study

2014

International audience; Smart camera, i.e. cameras that are able to acquire and process images in real-time, is a typical example of the new embedded computer vision systems. A key example of application is automatic fall detection, which can be useful for helping elderly people in daily life. In this paper, we propose a methodology for development and fast-prototyping of a fall detection system based on such a smart camera, which allows to reduce the development time compared to standard approaches. Founded on a supervised classification approach, we propose a HW/SW implementation to detect falls in a home environment using a single camera and an optimized descriptor adapted to real-time t…

Boosting (machine learning)Computer scienceReal-time computing02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]HW/SW implementationFast smart camera prototypingComputer graphicsReal-time fall detectionZynq0202 electrical engineering electronic engineering information engineering[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsSmart cameraArchitectureComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingHome environmentbusiness.industryEfficient algorithm[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]SoC implementation020202 computer hardware & architectureEmbedded systemHardware accelerationBoosting hardware implementation[INFO.INFO-ES]Computer Science [cs]/Embedded Systems020201 artificial intelligence & image processingFall detectionbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingInformation SystemsJournal of Real-Time Image Processing
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Real Time Robust Embedded Face Detection Using High Level Description

2011

Face detection is a fundamental prerequisite step in the process of face recognition. It consists of automatically finding all the faces in an image despite the considerable variations of lighting, background, appearance of people, position/orientation of faces, and their sizes. This type of object detection has the distinction of having a very large intra-class, making it a particularly difficult problem to solve, especially when one wishes to achieve real time processing. A human being has a great ability to analyze images. He can extract the information about it and focus only on areas of interest (the phenomenon of attention). Thereafter he can detect faces in an extremely reliable way.…

Boosting (machine learning)business.industryComputer scienceReal-time computingDetector02 engineering and technologyContent-based image retrievalFacial recognition systemObject detection020202 computer hardware & architecture[INFO.INFO-ES] Computer Science [cs]/Embedded Systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer vision[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsArtificial intelligence[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsbusinessLinear combinationFace detectionImplementation
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Agronomic Evaluation of Ethiopian Mustard (brassica Carinata A. Braun) Germplasm and Physical-energy Characterization of Crop Residues in a Semi-arid…

2017

Brassica carinata A. Braun is one of the most interesting oilseed crops suited to arid and semi-arid areas for energy purposes. Several studies have highlighted the possibility of introducing this species into cropping systems, typical of Mediterranean region. The aims of this study were to evaluate the agronomic performance of Brassica carinata germplasm under Mediterranean climatic conditions and to assess the physical and energy characteristics of crop residues and pellets made from the residues. A total of 20 different accessions of Brassica carinata were compared in a semi-arid area of Sicily (Italy). In the two-year test period, the main morphological and yield parameters of the acces…

Brassica carinatalcsh:Computer engineering. Computer hardwarecrop residuepelletfungifood and beverageslcsh:TP155-156lcsh:TK7885-7895lcsh:Chemical engineeringenergySettore AGR/02 - Agronomia E Coltivazioni ErbaceeChemical Engineering Transactions
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Brightness and contrast do not affect visually induced motion sickness in a passively-flown fixed-base flight simulator

2016

Abstract Background Visually Induced Motion Sickness (VIMS) or simulator sickness is often elicited by a visual stimulus that lacks the appropriate vestibular or proprioceptive feedback. In this study, we chose to investigate the effects of brightness and contrast of the visual scene on VIMS. Hypothesis We hypothesized that visual environments differing in brightness or contrast would differentially induce VIMS. The symptoms of VIMS should be most severe for the combination of high brightness and high contrast and conversely lowest for the low brightness and low contrast condition. Methods 33 healthy subjects were tested in a fixed-base flight simulator. Each subject flew in four consecutiv…

Brightnessmedicine.medical_specialtygenetic structuresStimulus (physiology)AudiologyFlight simulator03 medical and health sciences0302 clinical medicineMedicine0501 psychology and cognitive sciencesComputer visionElectrical and Electronic Engineering050107 human factorsFixed baseVestibular systemProprioceptionbusiness.industry05 social sciencesbiochemical phenomena metabolism and nutritionbacterial infections and mycosesmedicine.diseaseHuman-Computer InteractionMotion sicknessHardware and ArchitectureSimulator sicknessArtificial intelligencebusiness030217 neurology & neurosurgeryDisplays
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Traditional Enterprise Business Intelligence Software Compared to Software as a Service Business Intelligence

2016

IntroductionBusiness Intelligence is a broad field of study. The major thrust of business intelligence theory analyzes certain factors to make highquality decisions. These factors include customers, competitors, business partners, economic environment and internal operations. Business Intelligence has the power to change the way people work, so that enterprises can compete more effectively and efficiently.A successful business intelligence solutions and successful implementation holds the key to the technological innovations together with the people, processes and culture of an organization to achieve a competitive and profitable BI strategy.Business Intelligence (BI) is the process of acqu…

Business ProcessesBusiness requirementsData WarehouseKnowledge managementlcsh:Computer engineering. Computer hardwarebusiness.industryBusiness ruleCloud Datalcsh:TK7885-7895Business modelBusiness Intelligence Solutionslcsh:Zlcsh:Bibliography. Library science. Information resourcesBusiness process managementProcessBusiness analyticsNew business developmentBusiness intelligenceBusiness casebusinessInformatică economică
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A COMPARATIVE STUDY BETWEEN ´ BIHARMONIC BEZIER SURFACES AND BIHARMONIC EXTREMAL SURFACES

2009

AbstractGiven a prescribed boundary of a Bezier surface, we compare the Bezier surfaces generated by two different methods, i.e., the Bezier surface minimising the biharmonic functional and the unique Bezier surface solution of the biharmonic equation with prescribed boundary. Although often the two types of surfaces look visually the same, we show that they are indeed different. In this paper, we provide a theoretical argument showing why the two types of surfaces are not always the same.

Bézier surfaceComputer scienceHardware and ArchitectureMathematical analysisBiharmonic equationBoundary (topology)Bézier curveBiharmonic Bézier surfaceComputer Graphics and Computer-Aided DesignSoftwareComputer Science ApplicationsInternational Journal of Computers and Applications
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Update on the TowerJazz CMOS DMAPS development for the ATLAS ITk

2019

The upgrade of the ATLAS tracking detector for the High-Luminosity Large Hadron Collider at CERN requires the development of novel radiation hard silicon sensor technologies. For the de- velopment of depleted CMOS sensors for ATLAS we combined small electrodes with minimal capacitance and advanced processing for fully depleted active sensor volume to achieve radiation hard CMOS sensors in line with ATLAS ITk specifications. Based on initial studies on the prototype sensor “TowerJazz Investigator” we have now developed, produced and tested a first full-size depleted CMOS sensor based on the 180nm TowerJazz imag- ing process, the so-called “MALTA” sensor. The sensor combines special low-noise…

CMOS sensorLarge Hadron Colliderbusiness.industryComputer sciencePhysics::Instrumentation and DetectorsDetectorElectronic detector readout concepts (solid-state) ; Front-end electronics for detector readout ; Particle tracking detectors ; Radiation-hard detectorsChipCapacitancemedicine.anatomical_structureUpgradeCMOSAtlas (anatomy)medicineComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSDetectors and Experimental TechniquesbusinessComputer hardware
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Advanced Giant Magnetoresistance (GMR) sensors for Selective-Change Driven (SCD) circuits

2021

Nowadays, bio-inspiration is driving novel sensors designs, beyond vision sensors. By taking advantage of their compatibility with standard CMOS technologies, the integration of giant magneto-resistance (GMR) based magnetic sensors within such event-driven approaches is proposed. With this aim, several topologies of such GMR sensors have been designed, fabricated and characterized. In addition, integrated circuit interfaces of a standard CMOS technology are also proposed. Their suitability for this approach is then demonstrated by means of Cadence IC simulations.

CMOSbusiness.industryComputer sciencelawHardware_INTEGRATEDCIRCUITSElectrical engineeringGiant magnetoresistanceIntegrated circuitbusinessNetwork topologyCadencelaw.inventionElectronic circuit2021 13th Spanish Conference on Electron Devices (CDE)
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The TileCal Optical Multiplexer Board 9U

2011

Abstract TileCal is the hadronic calorimeter of the ATLAS experiment at LHC/CERN. The system contains roughly 10,000 channels of read-out electronics, whose signals are gathered and digitized in the front-end electronics and then transmitted to the counting room through two redundant optical links. Then, the data is received in the back-end system by the Optical Multiplexer Board (OMB) 9U which performs a CRC check to the redundant data to avoid Single Event Upsets errors. A real-time decision is taken on the event-to-event basis to transmit single data to the Read-Out Drivers (RODs) for processing. Due to the low dose level expected during the first years of operations in ATLAS it was deci…

CalorimeterLarge Hadron Colliderbusiness.industryComputer scienceDetectorATLAS experimentPhysics and Astronomy(all)ATLASMultiplexerCRCData acquisitionSoftwareCyclic redundancy checkLHCElectronicsDetectors and Experimental TechniquesbusinessSingle Event UpsetsFPGAComputer hardwarePhysics Procedia
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Comparison among different rainfall energy harvesting structures

2018

In this paper, an experimental comparison between different rainfall harvesting devices through the study of the electrical rectifying circuit is proposed. In more detail, three harvesting structures are considered: the cantilever, the bridge and the floating circle. Different waveforms were acquired and discussed. The processed data were compared in order to suggest the best choice for the rectifying circuit, from the simplest one to that most frequently endorsed in the technical literature.

CantileverComputer science020209 energyHardware_PERFORMANCEANDRELIABILITY02 engineering and technologylcsh:TechnologyEnergy harvesterlcsh:ChemistryEngineering (all)Hardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringElectronic engineeringWaveformGeneral Materials ScienceRectifying circuitlcsh:QH301-705.5InstrumentationFluid Flow and Transfer ProcessesEnergy harvester; Piezoelectric effect; Rectifying circuit; Materials Science (all); Instrumentation; Engineering (all); Process Chemistry and Technology; Computer Science Applications1707 Computer Vision and Pattern Recognition; Fluid Flow and Transfer Processeslcsh:TProcess Chemistry and TechnologyGeneral EngineeringEnergy harvesterComputer Science Applications1707 Computer Vision and Pattern RecognitionTechnical literaturelcsh:QC1-999Computer Science ApplicationsSettore ING-IND/31 - Elettrotecnicalcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Materials Science (all)lcsh:Engineering (General). Civil engineering (General)Energy harvestinglcsh:PhysicsPiezoelectric effectHardware_LOGICDESIGN
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