Search results for "Instrumentation"

showing 10 items of 4914 documents

Computational Offloading in Mobile Edge with Comprehensive and Energy Efficient Cost Function: A Deep Learning Approach

2021

In mobile edge computing (MEC), partial computational offloading can be intelligently investigated to reduce the energy consumption and service delay of user equipment (UE) by dividing a single task into different components. Some of the components execute locally on the UE while the remaining are offloaded to a mobile edge server (MES). In this paper, we investigate the partial offloading technique in MEC using a supervised deep learning approach. The proposed technique, comprehensive and energy efficient deep learning-based offloading technique (CEDOT), intelligently selects the partial offloading policy and also the size of each component of a task to reduce the service delay and energy …

Computer scienceReal-time computingTP1-118502 engineering and technologyBiochemistryVDP::Teknologi: 500::Elektrotekniske fag: 540ArticleAnalytical Chemistry0202 electrical engineering electronic engineering information engineeringcomputational offloadingElectrical and Electronic EngineeringInstrumentationenergy efficiencyMobile edge computingArtificial neural networkbusiness.industryChemical technologyDeep learningdeep learning020206 networking & telecommunicationsEnergy consumptionAtomic and Molecular Physics and OpticsTask (computing)cost functionUser equipment020201 artificial intelligence & image processingmobile edge computingArtificial intelligenceEnhanced Data Rates for GSM Evolutionremote executionbusinessEfficient energy useSensors
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Deep Convolutional Neural Network for HEp-2 fluorescence intensity classification

2019

Indirect ImmunoFluorescence (IIF) assays are recommended as the gold standard method for detection of antinuclear antibodies (ANAs), which are of considerable importance in the diagnosis of autoimmune diseases. Fluorescence intensity analysis is very often complex, and depending on the capabilities of the operator, the association with incorrect classes is statistically easy. In this paper, we present a Convolutional Neural Network (CNN) system to classify positive/negative fluorescence intensity of HEp-2 IIF images, which is important for autoimmune diseases diagnosis. The method uses the best known pre-trained CNNs to extract features and a support vector machine (SVM) classifier for the …

Computer scienceSVM02 engineering and technologyConvolutional neural networklcsh:TechnologyIIF image030218 nuclear medicine & medical imaginglcsh:Chemistry03 medical and health sciences0302 clinical medicineClassifier (linguistics)Autoimmune disease0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceautoimmune diseasesReceiver operating characteristic (ROC) curveInstrumentationlcsh:QH301-705.5AccuracyIIF imagesFluid Flow and Transfer ProcessesIndirect immunofluorescencebusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionIIfGold standard (test)Convolutional Neural Network (CNN)lcsh:QC1-999Computer Science ApplicationsIntensity (physics)Support vector machineFluorescence intensitylcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)lcsh:Physics
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An Automatic HEp-2 Specimen Analysis System Based on an Active Contours Model and an SVM Classification

2019

The antinuclear antibody (ANA) test is widely used for screening, diagnosing, and monitoring of autoimmune diseases. The most common methods to determine ANA are indirect immunofluorescence (IIF), performed by human epithelial type 2 (HEp-2) cells, as substrate antigen. The evaluation of ANA consist an analysis of fluorescence intensity and staining patterns. This paper presents a complete and fully automatic system able to characterize IIF images. The fluorescence intensity classification was obtained by performing an image preprocessing phase and implementing a Support Vector Machines (SVM) classifier. The cells identification problem has been addressed by developing a flexible segmentati…

Computer scienceSVMKNN02 engineering and technologylcsh:TechnologyIIF imageHough transformlaw.inventionlcsh:Chemistry03 medical and health scienceslawClassifier (linguistics)0202 electrical engineering electronic engineering information engineeringPreprocessorGeneral Materials ScienceSegmentationcell segmentationlcsh:QH301-705.5InstrumentationIIF images030304 developmental biologyFluid Flow and Transfer Processes0303 health sciencesIndirect immunofluorescencelcsh:Tbusiness.industryProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)ROC curvelcsh:QC1-999Computer Science ApplicationsSupport vector machineParameter identification problemFluorescence intensityHough transformlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businesslcsh:Physicsactive contours modelApplied Sciences
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Optical system for automatic color monitoring in heterogeneous media during vinification processes

2019

Abstract Wine is one of the most important food products worldwide. However, the application of technologies to the winemaking process can improve. An RGBC optical sensor, used to measure color intensity and shade, was developed and tested in real environments. It is able to measure samples without filtering by offering the color intensity and shade of a filtered sample. Color intensity can be measured within the range of 1.5 and 9.5 color points with an approximate 3% error. The model for shade can be applied to red wines with an approximate 1% error. It can operate directly in cellars under real operating conditions. It avoids collecting samples, and filtering and measuring in a spectroph…

Computer scienceSample (material)02 engineering and technology010402 general chemistry01 natural sciencesMaterials ChemistryComputer visionElectrical and Electronic EngineeringInstrumentationWinemakingWineMeasure (data warehouse)business.industryMetals and AlloysProcess (computing)Color intensity021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsAnalyticsFood productsArtificial intelligence0210 nano-technologybusinessSensors and Actuators B: Chemical
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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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Design of a Time Dissemination System Using Chirp Modulation for Medium Voltage Smart Grid Applications

2020

The monitoring and the management of smart grid require an advanced communication infrastructure. The time synchronization is among the most important services such an infrastructure should offer. Several solutions are available to disseminate the time information in a distributed system; for instance, most of the times a global positioning system (GPS) receiver is used to recover accurate time information. However, GPS receivers need a clear view of the sky. Other solutions, like the use of a network-based synchronization mechanism, require a dedicated communication infrastructure, which is not always feasible for economical reason. Thus, the use of the power grid itself to disseminate a t…

Computer scienceTime signal02 engineering and technologyIRIG-BSynchronizationChirp modulation IRIG-B medium voltage (MV) distribution grid smart grid time synchronization0202 electrical engineering electronic engineering information engineeringChirpElectronic engineeringElectrical and Electronic Engineeringsmart gridtime synchronizationChirp modulationmedium voltage (MV) distribution gridInstrumentationDisseminationJitterbusiness.industry020208 electrical & electronic engineeringFrame (networking)GridPower-line communicationSmart gridModulationGlobal Positioning SystembusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheIEEE Transactions on Instrumentation and Measurement
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Multi-beam capabilities for high precision astrometry at low frequencies using VLBI

2011

We are carrying out a simulation study to characterise the advantages of VLBI with multiple beams, which will be a feature of the next generation of instruments. We will focus on VLBI astrometric measurements at lower frequencies (1.4 GHz and below). For our simulations, we have selected a network consisting of ASKAP, the Australian SKA precursor, plus existing Australian antennas from the LBA (Long Baseline Array) and the new antenna in New Zealand (figure 1a). We have used different models to represent the ionospheric turbulences and frequencies. The preliminary results show an improvement of an order of magnitude in the astrometric precision achieved using multiple calibrators with angul…

Computer scienceVery-long-baseline interferometryAstrophysics::Instrumentation and Methods for AstrophysicsMulti beamPhase (waves)Astrophysics::Cosmology and Extragalactic AstrophysicsAstrometryAntenna (radio)Focus (optics)GeodesyAstrophysics::Galaxy AstrophysicsRemote sensing
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The Athena X-ray Integral Field Unit (X-IFU)

2016

Event: SPIE Astronomical Telescopes + Instrumentation, 2016, Edinburgh, United Kingdom.

Computer science[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph]AstronomyObservatoriesField of viewAthena; Instrumentation; Space telescopes; X-ray Integral Field Unit; X-ray spectroscopy; Electronic Optical and Magnetic Materials; Condensed Matter Physics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Applied Mathematics; Electrical and Electronic Engineering7. Clean energy01 natural scienceslaw.inventionSettore FIS/05 - Astronomia E AstrofisicalawObservatoryAthena Instrumentation Space telescopes X-ray spectroscopy X-ray Integral Field UnitAthena010303 astronomy & astrophysicsInstrumentation[ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]SpectroscopyHigh Energy Astrophysical Phenomena (astro-ph.HE)Equipment and servicesApplied MathematicsX-rayComputer Science Applications1707 Computer Vision and Pattern RecognitionCondensed Matter PhysicsProceedings of SPIE - the International Society for Optical EngineeringX-ray spectroscopyAstrophysics - Instrumentation and Methods for AstrophysicsAstrophysics - High Energy Astrophysical PhenomenaHigh energy astrophysicsAstrophysics - Cosmology and Nongalactic AstrophysicsCosmology and Nongalactic Astrophysics (astro-ph.CO)Spectral resolutionFOS: Physical sciencesMinute of arcSpace telescopesTelescope0103 physical sciencesX-raysElectronicOptical and Magnetic Materials[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Spectral resolutionElectrical and Electronic Engineering010306 general physicsSpectroscopyInstrumentation and Methods for Astrophysics (astro-ph.IM)Remote sensingPixelAstrophysics - Astrophysics of GalaxiesAstrophysics of Galaxies (astro-ph.GA)X-ray Integral Field Unit[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]Telescopes
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Portability in analytical chemistry: a green and democratic way for sustainability

2019

International audience; Recent advances in portability of analytical equipment have been considered to enlighten the advantages offered by portable instrumentation on greening the analytical methods. Their use drastically reduces sampling, sample stockage, and transport, thus avoiding environmental side effects and risks, also improving decision-making. The fact that portable instrumentation is, in general, less expensive than bench instruments and apparatuses makes also available the analytical tools for extended sectors of the population, thus making accessible the advantages derived from analytical methods. The role of sensor technology and portable miniaturized systems has been consider…

Computer science[SDV]Life Sciences [q-bio]PopulationBio(chemical) sensorsSample (statistics)Miniaturized instrumentsPortable apparatus010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesCatalysisSoftware portabilityImage processing[SDV.IDA]Life Sciences [q-bio]/Food engineering[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringInstrumentation (computer programming)educationWaste Management and Disposal0105 earth and related environmental scienceseducation.field_of_studyProcess Chemistry and TechnologyIn-field sampling010406 physical chemistry0104 chemical sciencesChemistry (miscellaneous)SustainabilitySystems engineeringCurrent Opinion in Green and Sustainable Chemistry
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An embedded datalogger with a fast acquisition rate for in-vehicle testing and monitoring

2011

A very compact and high performance datalogger for automotive in-vehicle testing is here described. The small logger dimensions and the availability of a CAN interface allows to easily implement multiple and distributed acquisition schemes, very challenging with traditional instrumentation. High acquisition rate, up to 100 Ksps/ch, and low cost was obtained through a very accurate hardware and software design.

Computer sciencebusiness.industryAutomotive industryData Acquisition In-Vehicle testingAutomotive electronicsSettore ING-INF/01 - ElettronicaCAN busMicrocodeEmbedded systemData loggerSoftware designInstrumentation (computer programming)businessThroughput (business)Automotive electronics controller area networks data loggers embedded systems
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