Search results for "Sensor"

showing 10 items of 4594 documents

Predicting perceptual distortion sensitivity with gain control models of LGN

2017

business.industry05 social sciencesPattern recognition050105 experimental psychologySensory Systems03 medical and health sciencesOphthalmology0302 clinical medicineAutomatic gain control0501 psychology and cognitive sciencesPerceptual DistortionArtificial intelligenceSensitivity (control systems)business030217 neurology & neurosurgeryMathematicsJournal of Vision
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Does autoimmunity play a part in the pathogenesis of glaucoma?

2013

Glaucoma is a chronic neurodegenerative disease and one of the leading causes of blindness. Several risk factors have been described, e.g. an elevated intraocular pressure (IOP), oxidative stress or mitochondrial dysfunction. Additionally, alterations in serum antibody profiles of glaucoma patients, upregulation (e.g. anti-HSP60, anti-MBP) and downregulation (e.g. anti-14-3-3), have been described, but it still remains elusive if the autoantibodies seen in glaucoma are an epiphenomenon or causative. However, it is known that elicited autoimmunity causes retinal ganglion cell loss resulting in glaucomatous-like damage and according to the autoaggressive nature of some autoantibodies we found…

business.industryAutoantibodyGlaucomaAutoimmunityGlaucomaDiseasemedicine.diseasemedicine.disease_causeNeuroprotectionRetinaSensory SystemsAutoimmune DiseasesBiomarker (cell)AutoimmunityPathogenesisDisease Models AnimalOphthalmologyImmunologyProtective autoimmunitymedicineAnimalsHumanssense organsbusinessAutoantibodiesProgress in Retinal and Eye Research
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Psychophysical response to electrocutaneous stimulation.

1984

A method is presented to determine a reliable stimulus-sensation relationship particularly suitable for electrocutaneous stimulation. An experimental intensity-discrimination curve was obtained through simple psychophysical comparison tasks, and sensory response was inferred from integration of a JND's density function. The psychophysical response resembles a power law, although departures cannot be described in terms of a unique exponent. An estimate of binary information capacity per electrode is also given as a feature of a stimulation procedure that preserves a low value of the size-intensity product.

business.industryBiomedical EngineeringSensationStimulation procedurePattern recognitionStimulationSensory systemProbability density functionElectrocutaneous stimulationPower lawElectric StimulationBinary informationDiscrimination PsychologicalPsychophysicsHumansArtificial intelligenceEvoked potentialPsychologybusinessSkinIEEE transactions on bio-medical engineering
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Repeatability Study on a Classifier for Gastric Cancer Detection from Breath Sensor Data

2019

The SNIFFPHONE device is a portable multichannel gas sensor, aiming to detect gastric cancer (GC) from breath samples. It employs gold nanoparticle (GNP) sensors reacting to volatile organic compounds (VOCs) in the exhaled breath, a non-invasive technique to support early diagnosis. This study evaluates the repeatability of the SNIFFPHONE classification result for measurements conducted on healthy subjects over a short period of time of less than 10 minutes. Due to the portable nature of the device, repeatability is studied with respect to varying measurement location. We find the classification results repeatable with a statistically significant 81 % Pearson correlation coefficient, even t…

business.industryBreath sensorHealthy subjects02 engineering and technologyCancer detectionRepeatability021001 nanoscience & nanotechnologyCancer detectionPearson product-moment correlation coefficient03 medical and health sciencessymbols.namesake0302 clinical medicineSDG 3 - Good Health and Well-beingVolatile organic compunds030220 oncology & carcinogenesisClassification resultsymbolsMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingDecision support for health0210 nano-technologybusinessGastric cancerClassifier (UML)Biomedical engineering
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Detecting motion independent of the camera movement through a log-polar differential approach

1997

This paper is concerned with a differential motion detection technique in log-polar coordinates which allows object motion tracking independently of the camera ego-motion when camera focus is along the movement direction. The method does not use any explicit estimation of the motion field, which can be calculated afterwards at the moving points. The method, previously formulated in Cartesian coordinates, uses the log-polar coordinates, which allows the isolation of the object movement from the image displacement due to certain camera motions. Experimental results on a sequence of real images are included, in which a moving object is detected and optical flow is calculated in log-polar coord…

business.industryCamera matrixComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowImage processingReal imageGeneralized coordinatesMatch movingMotion fieldCamera auto-calibrationMotion estimationPinhole camera modelComputer visionArtificial intelligenceImage sensorbusinessFocus (optics)Camera resectioning
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Use of hierarchical Bayesian framework in MTS studies to model different causes and novel possible forms of acquired MTS

2015

Abstract: An integrative account of MTS could be cast in terms of hierarchical Bayesian inference. It may help to highlight a central role of sensory (tactile) precision could play in MTS. We suggest that anosognosic patients, with anesthetic hemisoma, can also be interpreted as a form of acquired MTS, providing additional data for the model.

business.industryCognitive NeuroscienceTOUCHBODY AWARENESSSensory systemTactile perceptionBody awarenessBayesian inferenceMachine learningcomputer.software_genreHiearchical Bayesian ModelIllusionTouch PerceptionTactile PerceptionSYNAESTHESIABayesian frameworkArtificial intelligencePerceptual DisorderbusinessPsychologycomputerHumanCognitive Neuroscience
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Simultaneous Color Contrast in Goldfish— a Quantitative Study

1997

AbstractA set of 9–15 colored test fields was presented to goldfish. In Experiment 1, test field hues ranged from green through yellow to red; in Experiment 2, the hues varied from blue through gray to yellow. In the training conditions, the test fields were presented with a gray or black surround. The fish learned to choose one intermediate test field hue by rewarding them with food. In the test conditions, the color of the surround was changed from gray to green, or red (Experiment 1), and from black to blue, or yellow (Experiment 2). The choice behavior of the goldfish changed substantially: one of the test fields other than the training test field was preferred. Direction and strength o…

business.industryColor visionColor visionCarassius auratusRadiusColor spaceSensory SystemsContrast SensitivityOphthalmologyOpticsColoredSpectrophotometrySpace PerceptionSimultaneous color contrastGoldfishField sizeCarassius auratusAnimalsLearningColor contrastbusinessAlgorithmsColor PerceptionMathematicsHueVision Research
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Multiple Classifiers and Data Fusion for Robust Diagnosis of Gearbox Mixed Faults

2019

Detection and isolation of single and mixed faults in a gearbox are very important to enhance the system reliability, lifetime, and service availability. This paper proposes a hybrid learning algorithm, consisting of multilayer perceptron (MLP)- and convolutional neural network (CNN)-based classifiers, for diagnosis of gearbox mixed faults. Domain knowledge features are required to train the MLP classifier, while the CNN classifier can learn features itself, allowing to reduce the required knowledge features for the counterpart. Vibration data from an experimental setup with gearbox mixed faults is used to validate the effectiveness of the algorithms and compare them with conventional metho…

business.industryComputer science020208 electrical & electronic engineeringFeature extractionPattern recognition02 engineering and technologySensor fusionConvolutional neural networkComputer Science ApplicationsStatistical classificationControl and Systems EngineeringRobustness (computer science)Multilayer perceptron0202 electrical engineering electronic engineering information engineeringArtificial intelligenceElectrical and Electronic EngineeringbusinessClassifier (UML)Information SystemsIEEE Transactions on Industrial Informatics
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Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture

2017

International audience; Protecting the safety of occupants and the environment is a core value within Facilities Management. Data acquisition systems such as wireless sensor networks can help to monitor facilities to reduce hazards such as fire, water flooding and burglaries. Building Information Modeling (BIM) is a revolutionary development that is reshaping the Architecture Engineering and Construction (AEC) industry. BIM is both a process and a technology, offers wide solutions for facilities management. In order to monitor and manage facilities data in a BIM based simulated environment, this work reports upon a development of a system that uses BIM software and a wireless sensor technol…

business.industryComputer science020209 energyData managementBig data0211 other engineering and technologiesIntegration02 engineering and technology[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsFacility managementData visualizationData acquisitionBuilding information modeling021105 building & constructionManagement system0202 electrical engineering electronic engineering information engineeringSystems engineeringbusinessWireless sensor network
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Simulation of laser-generated ultrasonic wave propagation in solid media and air with application to NDE

2009

Ultrasonic methods are well known as powerful and reliable tool for defect detection. In the previous decades focus and interest have been directed to non-contact sensors and methods, showing many advantages over contact techniques where inspection depends on contact conditions (pressure, coupling medium, contact area). The non-contact hybrid ultrasonic method described here is of interest for many applications, requiring periodic inspection in service or after manufacturing. Despite the potential impact of laser-generated ultrasound in many areas of industry, robust tools for studying the phenomenon are lacking and thus limit the design and optimization of non-destructive testing and evalu…

business.industryComputer scienceAcousticsUltrasonic testingGeneral ChemistryAcoustic waveFinite element methodSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineOpticsTransducerNondestructive testingReflection (physics)General Materials ScienceUltrasonic sensorBoundary value problembusinessNDE Finite element Laser UltrasoundApplied Physics A
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