Search results for " Monitoring"

showing 10 items of 3129 documents

Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning

2020

Governments are faced with countless challenges to maintain conditions of road networks. This is due to financial and physical resource deficiencies of road authorities. Therefore, low-cost automated systems are sought after to alleviate these issues and deliver adequate road conditions for citizens. There have been several attempts at creating such systems and integrating them within Pavement management systems. This paper utilizes replicable deep learning techniques to carry out hotspot analyses on urban road networks highlighting important pavement distress types and associated severities. Following this, analyses were performed illustrating how the hotspot analysis can be carried out to…

Damage detectionComputer science0211 other engineering and technologies02 engineering and technologylcsh:Technologylcsh:ChemistryTransport engineeringAutomated detectionSeverity assessmentRoad networks021105 building & constructionlow-cost technologies0202 electrical engineering electronic engineering information engineeringSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceRoad pavement distresseslcsh:QH301-705.5InstrumentationPavement management systemFluid Flow and Transfer Processeslcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningLow-cost technologieGeneral EngineeringPavement managementDeep learningUrban roadIntegrated approachlcsh:QC1-999Computer Science ApplicationsWorkflowlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businesslcsh:PhysicsPavement condition monitoringApplied Sciences
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Condition Monitoring Technologies for Synthetic Fiber Ropes - a Review

2020

This paper presents a review of different condition monitoring technologies for fiber ropes. Specifically, it presents an overview of the articles and patents on the subject, ranging from the early 70’s up until today with the state of the art. Experimental results are also included and discussed in a conditionmonitoring context,where failuremechanisms and changes in physical parameters give improved insight into the degradation process of fiber ropes. From this review, it is found that automatic width measurement has received surprisingly little attention, and might be a future direction for the development of a continuous condition monitoring system for synthetic fiber ropes.

Damage detectionComputer scienceEnergy Engineering and Power TechnologyContext (language use)computer visiondamage detectionSystems engineeringcondition based maintenance (cbm)TA168health monitoringComputer Science (miscellaneous)Degradation processSafety Risk Reliability and QualityCivil and Structural Engineeringvibration analysisx-ray tomographyFiber (mathematics)ultrasoundMechanical EngineeringCondition monitoringelectromagnetic methodTA213-215thermographyEngineering machinery tools and implementsSynthetic fiberSystems engineeringoptical damage sensorsInternational Journal of Prognostics and Health Management
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Machine learning at the interface of structural health monitoring and non-destructive evaluation

2020

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…

Damage detectionComputer scienceTKGeneral MathematicsInterface (computing)General Physics and AstronomyCompressive sensing machine learning non-destructive evaluation structural health monitoring transfer learning ultrasoundMachine learningcomputer.software_genreMachine LearningSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineEngineeringManufacturing and Industrial FacilitiesNon destructiveHumansUltrasonicsFeature databusiness.industryUltrasonic testingGeneral EngineeringBayes TheoremSignal Processing Computer-AssistedArticlesRoboticsData CompressionIdentification (information)Regression AnalysisStructural health monitoringArtificial intelligenceTransfer of learningbusinesscomputerAlgorithmsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
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A Boundary Element Formulation for Modelling Structural Health Monitoring Applications

2015

In this paper, a boundary element formulation for modelling pitch-catch damage detection applications is introduced. The current formulation has been validated by both finite element analyses and physical experiments. Comparing to the widely used finite element method, the current formulation does not only use less computational resources, but also demonstrates higher numerical stability. doi: 10.12783/SHM2015/221

Damage detectionEngineeringbusiness.industryBoundary element formulationMechanical engineeringStructural engineeringBoundary knot methodFinite element methodStructural Health MonitoringBoundary element methodStructural health monitoringCurrent (fluid)businessNumerical stabilityExtended finite element methodStructural Health Monitoring 2015
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A Strain Sensing Structural Health Monitoring System for Delaminated Composite Structures

2012

Structural Health Monitoring (SHM) for composite materials is becoming a primary task due to their extended use in safety critical applications. Different methods, based on the use of piezoelectric transducers as well as of fiber optics, has been successfully proposed to detect and monitor damage in composite structural components with particular attention focused on delamination cracks.In the present paper a Structural Health Monitoring model, based on the use of piezoelectric sensors, already proposed by the authors for isotropic damaged components, is extended to delaminated composite structures. The dynamic behavior of the host damaged structure and the bonded piezoelectric sensors is m…

Damaged componentComposite materialMaterials scienceOptical fiberElectric sensing devicePiezoelectric sensorComposite numberDelaminated composite structureDynamic behaviorStructural healthStructure (composition) Piezoelectric transducersBoundary elementlaw.inventionSafety critical applicationlawStructural health monitoring systems Boundary element methodStructural componentDynamic loadSettore ING-IND/04 - Costruzioni E Strutture AerospazialiBoundary element methodStructural health monitoringbusiness.industryDelamination lengthIsotropyDelaminationDamaged structureGeneral MedicineStructural engineeringPiezoelectricityMechanical engineeringPrimary taskDynamic responseDelaminationDual reciprocityStrain sensingStructural health monitoringbusinessPiezoelectric sensorApplied Mechanics and Materials
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Tourism and terrorism: conflicts and commonalities

2012

Purpose – The purpose of this paper is to explore why tourists continue to visit troubled and often violent nations, even when there is perceived risk. Tourism and terrorism reflect very different philosophies, but there are also some disturbing commonalities. Both need modern technology to be effective, both rely heavily on media management and both require the manipulation of perceptions and attitudes.Design/methodology/approach – The paper uses historical evidence to examine the rise and fall in world travel and tourism demand related to acts of terrorism.Findings – The paper observes that the Caribbean experienced a 13.5 percent decline in US visitors after the 9/11 terrorist attack in …

Dark tourismMedia managementeducation.field_of_studyEconomic growthPopulationManagement Monitoring Policy and LawDevelopmentRisk perceptionTourism Leisure and Hospitality ManagementPolitical economyTerrorismEconomicsOrganised crimeEconomic impact analysiseducationTourismWorldwide Hospitality and Tourism Themes
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Wireless Sensor Networks for Marine Environment Monitoring

2008

Data MULEWireless Sensor NetworkEnvironmental Monitoring
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Data Acquisition System for the Characterization of Biomechanical and Ergonomic Thresholds in Driving Vehicles

2020

Directive (EU) 2015/653 on driving licenses has involved the modification of different codes that must appear on driver&rsquo

Data acquisition systemComputer scienceINGENIERIA MECANICAlcsh:TJ807-830Geography Planning and DevelopmentControl (management)lcsh:Renewable energy sourcesDriving ergonomics010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesAutomotive engineeringbiomechanical thresholdsData acquisition0502 economics and businessBrakemotion captureCar control adaptationslcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350050210 logistics & transportationDriving fitnessRenewable Energy Sustainability and the Environmentlcsh:Environmental effects of industries and plants05 social sciencesBiomecànicaHuman factors and ergonomicsVehiclesSteering wheelcar control adaptationsBiomechanical thresholdsdata acquisition systemINGENIERIA DE SISTEMAS Y AUTOMATICAdriving ergonomicslcsh:TD194-195driving fitnessMotion captureSustainability
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Medical Data Processing and Analysis for Remote Health and Activities Monitoring

2019

Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human’s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in thi…

Data collectionComputer sciencebusiness.industryContinuous monitoringWearable computerContext (language use)Pervasive healthcare (PH)Data sciencehumanitiesInternet of Things (IoT)SmartwatchRemote health monitoringApplication domainE-HealthbusinessWearable technologyIndependent living
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Integration of foreign trade and maritime transport statistics in Spain

2010

This article aims to contribute to improving maritime trade data by analysing the possibility of integrating in a single enlarged databank two different databases: the Spanish foreign trade and maritime transport datasets. The methodology adopted consisted of studying the primary sources providing data compiled in the foreign trade and maritime traffic databases, analysing the electronic processes used by informants and data collectors and examining the linkages between the different electronic messages involved. Once the links between the trade and sea transport documents and electronic messages were found, a solution for integrating both databases was envisaged. The main outcome is a new …

Data collectionWater transportbusiness.industryGeography Planning and DevelopmentCommoditySea transportOcean EngineeringTransportationInternational tradeManagement Monitoring Policy and Lawcomputer.software_genreData qualityBusinesscomputerData integrationMaritime Policy & Management
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