Search results for "REGION"

showing 10 items of 4910 documents

A modeling study suggesting how a reduction in the context-dependent input on CA1 pyramidal neurons could generate schizophrenic behavior.

2011

The neural mechanisms underlying schizophrenic behavior are unknown and very difficult to investigate experimentally, although a few experimental and modeling studies suggested possible causes for some of the typical psychotic symptoms related to this disease. The brain region most involved in these processes seems to be the hippocampus, because of its critical role in establishing memories for objects or events in the context in which they occur. In particular, a hypofunction of the N-methyl-D-aspartate (NMDA) component of the synaptic input on the distal dendrites of CA1 pyramidal neurons has been suggested to play an important role for the emergence of schizophrenic behavior. Modeling st…

Computer scienceCognitive Neurosciencemedia_common.quotation_subjectSchizophrenia Realistic model CA1 Hippocampus Object recognition Synaptic integrationCentral nervous systemModels NeurologicalCa1 neuronHippocampusHippocampal formationSynapse03 medical and health sciences0302 clinical medicineArtificial IntelligencePerceptionmedicineAnimalsHumansInvariant (mathematics)CA1 Region Hippocampal030304 developmental biologymedia_common0303 health sciencesRecallArtificial neural networkPyramidal NeuronSynaptic integrationPyramidal CellsCognitive neuroscience of visual object recognitionDendritesmedicine.diseasemedicine.anatomical_structurenervous systemSchizophreniaSynapsesSchizophreniaNMDA receptorNeuronNerve NetNeuroscience030217 neurology & neurosurgeryNeural networks : the official journal of the International Neural Network Society
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CEE media and communication research on the global map

2019

Computer scienceCommunicationRegional scienceGlobal MapCentral European Journal of Communication
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Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial Markers

2019

This paper describes a non-invasive, automatic, and robust method for calibrating a scalable RGB-D sensor network based on retroreflective ArUco markers and the iterative closest point (ICP) scheme. We demonstrate the system by calibrating a sensor network comprised of six sensor nodes positioned in a relatively large industrial robot cell with an approximate size of 10 m × 10 m × 4 m . Here, the automatic calibration achieved an average Euclidean error of 3 c m at distances up to 9.45 m . To achieve robustness, we apply several innovative techniques: Firstly, we mitigate the ambiguity problem that occurs when detecting a marker at long range or low resolution by comparing the…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologytime-of-flightBiochemistryArticleVDP::Food science and technology: 600Analytical Chemistrylaw.inventionIndustrial robotlawRegion of interestRobustness (computer science)automatic calibration0202 electrical engineering electronic engineering information engineeringCalibrationVDP::Næringsmiddelteknologi: 600lcsh:TP1-1185Computer visionElectrical and Electronic EngineeringInstrumentationbusiness.industryambiguity problemIterative closest point3D sensors020207 software engineeringretroreflective markersAtomic and Molecular Physics and OpticsTime of flightTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRGB color model020201 artificial intelligence & image processingArtificial intelligencebusinessFiducial markerWireless sensor networkSensors
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A new image segmentation approach using community detection algorithms

2015

Image segmentation has an important role in many image processing applications. Several methods exist for segmenting an image. However, this technique is still a relatively open topic for which various research works are regularly presented. With the recent developments on complex networks theory, image segmentation techniques based on graphs has considerably improved. In this paper, we present a new perspective of image segmentation, by applying three of the most efficient community detection algorithms, Louvain, infomap and stability optimization based on the louvain algorithm, and we extract communities in which the highest modularity feature is achieved. After we show that this measure …

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-space segmentationImage processing02 engineering and technology[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]03 medical and health sciences0302 clinical medicine[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]Image textureMinimum spanning tree-based segmentation020204 information systems0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Computer visionSegmentationComputingMilieux_MISCELLANEOUSbusiness.industrySegmentation-based object categorization[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]Pattern recognitionImage segmentationRegion growingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithm030217 neurology & neurosurgery2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)
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Modelling urban networks sustainable progress

2019

In this paper, we analyse the relations between thermodynamics and city networks: an increase in the complexity and the organized information in such urban systems leads to less demand for resources and less social entropy, which overall makes them more efficient and stable. The goal of this study is to propose a method to measuring city networks sustainable progress based on statistical models, derived from Eurostat databases and NASA satellite images, and capable of analyzing different conceptual scenarios of urban development in Europe. The obtained probability-based indices enable us to evaluate the dynamics of city networks in terms of three components of sustainable progress – economi…

Computer scienceGeography Planning and Development0211 other engineering and technologies021107 urban & regional planningForestryCohesion (computer science)Statistical model02 engineering and technology010501 environmental sciencesManagement Monitoring Policy and LawEnvironmental economics01 natural sciencesUrban ecologyInclusive developmentUrban planningOrder (exchange)Urban system0105 earth and related environmental sciencesNature and Landscape ConservationSocial entropyLand Use Policy
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Evaluation of the Use of a City Center through the Use of Bluetooth Sensors Network

2019

In order to achieve the objectives of Smart Cities, public administrations need to take measures to regulate mobility, which undoubtedly requires a high level of information and sensorization. Until the implementation of the connected vehicle takes place, it is still necessary to install sensors to obtain information about mobility. Bluetooth sensors are becoming a useful tool due to the low cost of equipment and installation. The use of Bluetooth sensors in cities, with short distances between sensors, makes it necessary to propose new classification algorithms that allow the trips of pedestrians and vehicles to be differentiated. This article presents the study carried out in the city of …

Computer scienceGeography Planning and DevelopmentReal-time computinglcsh:TJ807-8300211 other engineering and technologieslcsh:Renewable energy sourcestraffic management02 engineering and technologyManagement Monitoring Policy and Lawvehicle and pedestrian travel timelaw.inventionBluetoothlawSmart city0502 economics and businessDesenvolupament sostenibleDisseny urbàlcsh:Environmental scienceslcsh:GE1-350050210 logistics & transportationRenewable Energy Sustainability and the EnvironmentMAC addressbluetooth sensorlcsh:Environmental effects of industries and plants05 social sciences021107 urban & regional planningvalencia city centerlcsh:TD194-195smart cityOrder (business)mobility studies using BTCirculacióOrigin-Destination matricesMobile deviceSustainability
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Smart city. Four approaches to the concept of understanding

2020

The paper analyzes the rhetoric of the smart city (SC) concept in order to recognize, categorize, and describe different perspectives of understanding the notion. Four approaches to the SC concept were isolated: three affirmative, and one rejecting. The approaches present a different understanding of the SC and indicate different elements creating urban ‘smartness.’ Despite differences, there is one common goal in every affirmative approach: to improve the quality of urban life. It is achieved through activities covering five dimensions distinguished within affirmative approaches. Together they can serve, i.e.,as a framework for SC case study analyses.

Computer scienceManagement sciencemedia_common.quotation_subject05 social sciencesGeography Planning and Development0211 other engineering and technologies0507 social and economic geographysocio-economic approach021107 urban & regional planning02 engineering and technologysmart city dimensionsUrban StudiesCategorizationOrder (business)Smart cityRhetorictechnocentric approachpeople-oriented approach050703 geographymedia_commonSmart city conceptsrejecting approachUrban Research and Practice
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Tactile input of the hand and the control of reaching to grasp movements

1997

The role of tactile information of the hand in the control of reaching to grasp movements was investigated. The kinematics of both reaching (or transport) and grasp components were studied in healthy subjects in two experimental conditions. In one condition (control condition) subjects were required to reach and grasp an object that could have two sizes and that could be located at two distances from the viewer. In the other condition (anaesthesia condition) the same movements were executed, but anaesthesia was provided to the subjects' fingertips. In both conditions vision of the hand was prevented during movement. Anaesthesia affected mainly the kinematics of the first phase of grasping, …

Computer scienceMovementmedia_common.quotation_subjectKinematicsanesthesiaSettore BIO/09maletouchMotor controllocalwristContrast (vision)Computer visionMovement; male; anesthesia local; psychomotor performance; fingers; hand strength; hand; wrist; touch; adult; humanshumansmedia_commonCommunicationProprioceptionbusiness.industryMovement (music)adultGeneral NeuroscienceMotor timingGRASPArm kinematicsMotor controlBody movementbody regionsDuration (music)Somatosensory systempsychomotor performancefingershand strengthhandArtificial intelligencebusinessHumanAnesthesia LocalExperimental Brain Research
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A New Myohaptic Device to Assess Wrist Function in the Lab and in the Clinic – The Wristalyzer

2008

Wristalyzer is a portable robotic device combining haptic technology with electromyographic assessment. It allows to assess wrist motion in physiological and pathological conditions by applying loads and mechanical oscillations, taking into account the ergonomy and the angular positioning of the joints. The wristalyzer works in a free or loaded mode for assessment of metrics of motion and tremor, analyzes the behavior of the wrist joints and the associated muscle activities during delivery of mechanical oscillations, estimates the maximal voluntary contraction, assesses automatically the impedance of the wrist for assessment of rigidity or spasticity. Position, torques and electromyographic…

Computer scienceWristMotion (physics)body regionsVoluntary contractionmedicine.anatomical_structureWrist jointsmedicineSpasticitymedicine.symptomMuscle activityReliability (statistics)SimulationComputingMethodologies_COMPUTERGRAPHICSHaptic technology
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From fractal urban pattern analysis to fractal urban planning concepts

2014

International audience; Fractal geometry can be used to develop a multiscale approach toinvestigate the spatial organization of urban fabrics. First, the concepts behindfractal reference models are introduced so as to provide a better understandingof the results obtained from empirical analyses of urban patterns. Then, differentmethods for conducting fractal analyses are presented and the results obtained forurban patterns are discussed. It turns out that, despite their irregular appearance,urban patterns are often organized by an inherent fractal order principle, at leastacross a certain range of scales. More detailed analysis of the findings reveals linksbetween these fractal properties a…

Computer science[SHS.GEO] Humanities and Social Sciences/Geography0211 other engineering and technologies0507 social and economic geographyPattern analysisContext (language use)02 engineering and technologycomputer.software_genreurban planningfractal planning[ SHS.GEO ] Humanities and Social Sciences/GeographyFractalUrban planning11. SustainabilityReference modelSpatial organizationComputingMilieux_MISCELLANEOUSUrban modelingsustainable development05 social sciences021107 urban & regional planningFractal Analysis[SHS.GEO]Humanities and Social Sciences/GeographyData mining050703 geographycomputerfractal analysis of urban patternsUrban modeling
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