Search results for "formas"

showing 10 items of 979 documents

Supporting group decision makers to locate temporary relief distribution centres after sudden-onset disasters

2020

International audience; In the humanitarian response, multiple decision-makers (DMs) need to collaborate in various problems, such as locating temporary relief distribution centres (RDCs). Several studies have argued that maximising demand coverage, reducing logistics costs and minimising response time are among the critical objectives when locating RDCs after a sudden-onset disaster. However, these objectives are often conflicting and the trade-offs can considerably complicate the situation for finding a consensus.To address the challenge and support the DMs, we suggest investigating the stability of non-dominated alternatives derived from a multi-objective model based on Monte Carlo Simul…

010504 meteorology & atmospheric sciencesComputer sciencemedicine.medical_treatment0211 other engineering and technologiesStability (learning theory)Distribution (economics)02 engineering and technology01 natural sciencesHumanitarian responseNATURAL DISASTERSupport groupINFORMATION-MANAGEMENT[SPI]Engineering Sciences [physics]NETWORK DESIGNGroup decision-making2015 Nepal earthquakemedicineOPTIMIZATIONVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Monte Carlo simulation0105 earth and related environmental sciences021110 strategic defence & security studiesCOORDINATIONCOMPLEXDISTRIBUTION MODELbusiness.industrySTOCHASTIC-MODELHumanitarian responseGeologyGeotechnical Engineering and Engineering GeologyRisk analysis (engineering)Multiobjective facility locationPARETO SETbusinessSafety ResearchHUMANITARIAN LOGISTICSSudden onsetInternational Journal of Disaster Risk Reduction
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Temperate Fish Detection and Classification: a Deep Learning based Approach

2021

A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize species captured on film. Classifying fish species from videos and images in natural environments can be challenging because of noise and variation in illumination and the surrounding habitat. In this paper, we propose a two-step deep learning approach for the detection and classification of temperate fishes without pre-filtering. The first step is to detect each single fish in an image, independent of species and sex. For this purpose, we employ the You Only Look Once (YOLO) …

0106 biological sciencesFOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition010603 evolutionary biology01 natural sciencesConvolutional neural networkVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Machine Learning (cs.LG)Artificial IntelligenceClassifier (linguistics)FOS: Electrical engineering electronic engineering information engineeringbusiness.industry010604 marine biology & hydrobiologyDeep learningImage and Video Processing (eess.IV)Process (computing)Pattern recognitionElectrical Engineering and Systems Science - Image and Video ProcessingObject detectionA priori and a posterioriNoise (video)Artificial intelligenceTransfer of learningbusiness
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A 3D Non-Stationary Cluster Channel Model for Human Activity Recognition

2019

Author's accepted manuscript. © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This paper proposes a three-dimensional (3D) non- stationary fixed-to-fixed indoor channel simulator model for human activity recognition. The channel model enables the formulation of temporal variations of the received signal caused by a moving human. The moving human is modelled by …

020301 aerospace & aeronauticsComputer scienceMotion (geometry)Spectral density020206 networking & telecommunications02 engineering and technologySignalExpression (mathematics)Activity recognitionsymbols.namesake0203 mechanical engineering0202 electrical engineering electronic engineering information engineeringsymbolsSpectrogramVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550AlgorithmDoppler effect2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
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A non-stationary relay-based 3D MIMO channel model with time-variant path gains for human activity recognition in indoor environments

2021

AbstractExtensive research showed that the physiological response of human tissue to exposure to low-frequency electromagnetic fields is the induction of an electric current in the body segments. As a result, each segment of the human body behaves as a relay, which retransmits the radio-frequency (RF) signal. To investigate the impact of this phenomenon on the Doppler characteristics of the received RF signal, we introduce a new three-dimensional (3D) non-stationary channel model to describe the propagation phenomenon taking place in an indoor environment. Here, the indoor space is equipped with a multiple-input multiple-output (MIMO) system. A single person is moving in the indoor space an…

0209 industrial biotechnologyComputer scienceMIMO020206 networking & telecommunications02 engineering and technologySignalVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Power (physics)law.inventionsymbols.namesake020901 industrial engineering & automationRelaylawPath (graph theory)0202 electrical engineering electronic engineering information engineeringsymbolsElectronic engineeringSpectrogramRadio frequencyElectrical and Electronic EngineeringDoppler effect
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Simulación de Plataformas Robóticas de Movimiento para Aplicaciones de Realidad Virtual Mediante Filtros Digitales

2017

[ES] El uso de plataformas robóticas de movimiento en simuladores de vehículos y aplicaciones de Realidad Virtual es relativamente habitual. Sin embargo, el ajuste de los algoritmos que controlan su funcionamiento, denominados algoritmos de washout, no es sencillo y requiere de numerosas pruebas hasta obtener una apropiada fidelidad de movimiento. Disponer de herramientas que permitan simular plataformas de movimiento puede permitir simplificar esta tarea. Es por ello que este trabajo presenta un método para la caracterización y simulación de manipuladores robóticos mediante filtros digitales de segundo orden, sencillo de implementar y ajustar a partir de una caracterización previa. El simu…

0209 industrial biotechnologyEngineeringGeneral Computer Sciencemedia_common.quotation_subjectTiempo reallcsh:Control engineering systems. Automatic machinery (General)Fidelity02 engineering and technologyVirtual realitySimulation systemMotion (physics)Filtros digitalesRealidad virtuallcsh:TJ212-225020901 industrial engineering & automation0203 mechanical engineeringSimulationmedia_commonMotion platforms020301 aerospace & aeronauticsbusiness.industryDigital filtersProcess (computing)Virtual RealityRoboticsReal timeControl and Systems EngineeringbusinessRobóticaSimuladoresSimulationPlataformas de movimientoRevista Iberoamericana de Automática e Informática Industrial RIAI
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Flow Control of Fluid in Pipelines Using PID Controller

2019

In this paper, a PID controller is utilized in order to control the flow rate of the heavy oil in pipelines by controlling the vibration in a motor pump. A torsional actuator is placed on the motor pump in order to control the vibration on a motor and consequently controlling the flow rates in pipelines. The necessary conditions for the asymptotic stability of the proposed controller are validated by implementing the Lyapunov stability theorem. The theoretical concepts are validated utilizing numerical simulations and analysis, which proves the effectiveness of the PID controller in the control of flow rates in pipelines.

0209 industrial biotechnologyGeneral Computer ScienceComputer sciencePID controllercontrol engineeringfeedback02 engineering and technology01 natural sciencesFeedback010305 fluids & plasmas020901 industrial engineering & automationExponential stabilityControl theoryFluid flow controlPID control0103 physical sciencesGeneral Materials Science/dk/atira/pure/subjectarea/asjc/1700VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Lyapunov stabilityControl engineeringComputingGeneral EngineeringTorsion (mechanics)Volumetric flow ratePipeline transportVibrationFlow control (fluid)lcsh:Electrical engineering. Electronics. Nuclear engineeringActuator/dk/atira/pure/core/subjects/computinglcsh:TK1-9971Computer Science(all)Numerical stabilityIEEE Access
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The regression Tsetlin machine: a novel approach to interpretable nonlinear regression

2019

Relying simply on bitwise operators, the recently introduced Tsetlin machine (TM) has provided competitive pattern classification accuracy in several benchmarks, including text understanding. In this paper, we introduce the regression Tsetlin machine (RTM), a new class of TMs designed for continuous input and output, targeting nonlinear regression problems. In all brevity, we convert continuous input into a binary representation based on thresholding, and transform the propositional formula formed by the TM into an aggregated continuous output. Our empirical comparison of the RTM with state-of-the-art regression techniques reveals either superior or on par performance on five datasets. Thi…

021110 strategic defence & security studiesTheoretical computer scienceEmpirical comparisonComputer scienceGeneral Mathematics0211 other engineering and technologiesGeneral EngineeringGeneral Physics and AstronomyBinary number02 engineering and technologyThresholdingRegressionPropositional formula0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBitwise operationTheme (computing)Nonlinear regressionVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death

2020

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0301 basic medicinetransmission ratepopulationSevere Acute Respiratory Syndromemedicine.disease_causelcsh:Chemical technologyBiochemistryRNNDisease OutbreaksAnalytical Chemistry0302 clinical medicinePandemiclcsh:TP1-1185030212 general & internal medicineInstrumentationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Coronaviruskeraseducation.field_of_studypublic healthartificial intelligenceAtomic and Molecular Physics and OpticsRegressionmachine learningGeographySevere acute respiratory syndrome-related coronavirusstatisticsMiddle East Respiratory Syndrome Coronaviruscommunity diseaseregressionCoronavirus InfectionsLSTMPneumonia ViralPopulationWorld Health OrganizationArticleBetacoronavirusspread factor03 medical and health sciencesCode (cryptography)medicineAnimalsHumansElectrical and Electronic EngineeringeducationPandemicsmeasurable sensor dataalgorithmSARS-CoV-2ICDUnivariatedeep learningOutbreakCOVID-19medicine.diseasehypothesis testpython030104 developmental biologycorrelationCatsMiddle East respiratory syndromeCattleDemographySensors
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A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda

2019

Abstract Researchers have explored the benefits and applications of virtual reality (VR) in different scenarios. VR possesses much potential and its application in education has seen much research interest lately. However, little systematic work currently exists on how researchers have applied immersive VR for higher education purposes that considers the usage of both high-end and budget head-mounted displays (HMDs). Hence, we propose using systematic mapping to identify design elements of existing research dedicated to the application of VR in higher education. The reviewed articles were acquired by extracting key information from documents indexed in four scientific digital libraries, whi…

030504 nursingGeneral Computer ScienceHigher educationPoint (typography)business.industryComputer science05 social sciences050301 educationUsabilityVirtual realityDigital libraryField (computer science)EducationInformatik03 medical and health sciencesHuman–computer interactionLearning theory0305 other medical sciencebusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 5500503 educationInclusion (education)Computers & Education
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Photovoice—Towards Engaging and Empowering People with Intellectual Disabilities in Innovation

2020

E-health and welfare technology offer new ways to support health and social care delivery. While initiatives are made to engage disadvantaged user groups in innovation, people with intellectual disabilities tend to be excluded from design activities. This is a concern as this group can benefit from the use of assistive technology. However, it can be time-consuming and challenging to involve end-users in the design of technology. This calls for processes that are creative, empowering and that facilitate user involvement. In this study, we report and reflect on the process of using photovoice to understand user needs and to empower participants with intellectual disability in an innovation pr…

030506 rehabilitationCoping (psychology)media_common.quotation_subjectVDP::Informasjons- og kommunikasjonsteknologi: 550VDP::Information and communication technology: 550ArticleGeneral Biochemistry Genetics and Molecular BiologyIntellectual disability and work03 medical and health sciencesAssistive technologyassistive technologyIntellectual disabilityPhotovoicemedicinelcsh:Sciencephotovoice; intellectual disability; assistive technology; innovationUser needsEmpowermentAssitive technologyEcology Evolution Behavior and Systematicsmedia_common030505 public healthbusiness.industryPaleontologyUtviklingshemming og arbeidPublic relationsmedicine.diseaseinnovationDisadvantagedintellectual disabilitySpace and Planetary Sciencephotovoicelcsh:Q0305 other medical sciencePsychologybusinessWelfareLife
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