Search results for "Computer Science Application"

showing 10 items of 3998 documents

Hybrid Procedure for Automated Detection of Cracking with 3D Pavement Data

2016

Pavement cracks are considered a major indicator of pavement performance. Because traditional manual crack surveys are dangerous, time consuming, and expensive, technologies have been developed to collect high-speed pavement images, and numerous algorithms have been proposed to detect cracks on pavement surface. The latest PaveVision3D Ultra system (3D Ultra) has been implemented to achieve 30-kHz three-dimensional (3D) scanning rate for 1-mm resolution pavement surface data at highway speed up to 100 km/h (60  mi/h). This paper presents the application of a hybrid procedure for automated crack detection on 3D pavement data collected using 3D Ultra. The procedure combines three different me…

EngineeringSpeedup0211 other engineering and technologies02 engineering and technologyMinimum spanning treeEdge (geometry)Minimum spanning treeThree-dimensional (3D) pavement dataTensor votingCrack detection; Matched filtering; Minimum spanning tree; Tensor voting; Three-dimensional (3D) pavement data; Civil and Structural Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition021105 building & construction0502 economics and businessThree dimensional dataSettore ICAR/04 - Strade Ferrovie Ed AeroportiCivil and Structural Engineering050210 logistics & transportationbusiness.industry05 social sciencesDetectorComputer Science Applications1707 Computer Vision and Pattern RecognitionStructural engineeringMatched filteringComputer Science ApplicationsCrackingCrack detectionTensor votingbusiness
researchProduct

Influence of material properties variability on springback and thinning in sheet stamping processes: a stochastic analysis

2010

A very critical issue for stamping operations is the improvement of process robustness. The reliability of final results, in fact, strongly depends on the intrinsic variability due to stochastic behavior of many parameters, namely, operative ones and material properties. A given process performance may undergo a variation around the value which would be obtained neglecting stochastic behaviors of the operative or material parameters (i.e., considering a deterministic parameters behavior). Such variation introduces a significant source of uncertainty within the process design: a possible consequence may be the rejection of some stamped parts. In this paper, reliability analyses aimed to evid…

EngineeringSpringbackbusiness.industryStochastic processMechanical EngineeringSheet stampingAutomotive industryProcess designStructural engineeringStampingStochastic material variabilityIndustrial and Manufacturing EngineeringFinite element methodComputer Science ApplicationsControl and Systems EngineeringRobustness (computer science)Process optimizationMaterial propertiesbusinessThinningSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSoftware
researchProduct

Sustainable Transportation Management System for a Fleet of Electric Vehicles

2015

In the last few years, significant efforts have been devoted to developing intelligent and sustainable transportation to address pollution problems and fuel shortages. Transportation agencies in various countries, along with several standardization organizations, have proposed different types of energy sources (such as hydrogen, biodiesel, electric, and hybrid technologies) as alternatives to fossil fuel to achieve a more ecofriendly and sustainable environment. However, to achieve this goal, there are significant challenges that still need to be addressed. We present a survey on sustainable transportation systems that aim to reduce pollution and greenhouse gas emissions. We describe the ar…

EngineeringStandardizationbusiness.industryMechanical EngineeringEnvironmental economicsGreen vehicleComputer Science ApplicationsTransport engineeringSustainable transportAutomotive EngineeringManagement systemFuel efficiencyElectricityEnergy sourcebusinessFleet managementIEEE Transactions on Intelligent Transportation Systems
researchProduct

Visual scale factor for speed perception

2011

Speed perception is an important task depending mainly on optic flow that the driver must perform continuously to control his/her vehicle. Unfortunately, it appears that in some driving simulators speed perception is under estimated, leading into speed production higher than in real conditions. Perceptual validity is then not good enough to study driver’s behavior. To solve this problem, a technique has recently seen the light, which consists of modifying the geometric field of view (GFOV) while keeping the real field of view (FOV) constant. We define our visual scale factor as the ratio between the GFOV and the FOV. The present study has been carried out on the SAAM dynamic driving simulat…

EngineeringSynthèse d'image et réalité virtuelle [Informatique]media_common.quotation_subject[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Field of view02 engineering and technologyVisual scaleperceptionIndustrial and Manufacturing EngineeringRendering (computer graphics)Perception0202 electrical engineering electronic engineering information engineeringDriving simulation0501 psychology and cognitive sciencesComputer vision050107 human factorsSimulationmedia_commondriving simulationbusiness.industry05 social sciencesDriving simulator[ INFO.INFO-GR ] Computer Science [cs]/Graphics [cs.GR]Computer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science ApplicationsVibrationInterface homme-machine [Informatique]Speed perception020201 artificial intelligence & image processingArtificial intelligencebusinessfield of viewSoftware
researchProduct

Fuzzy Adaptive EKF Motion Control for Nonholonomic and Underactuated Cars with Parametric and non Parametric Uncertainties

2007

A new fuzzy adaptive motion control system including on-line extended Kalman''s filter (EKF) for wheeled underactuated cars with non-holonomic constraints on the motion is presented. The presence of parametric uncertainties in the kinematics and in the dynamics is treated using suitable differential adaptation laws. We merge adaptive control with fuzzy inference system. By using fuzzy system, the parameters of the kinematical controller are functions of the lateral, longitudinal and orientation errors of the motion. In this way we have a robust control system where the dynamics of the motion errors is with lower time response than the adaptive control without fuzzy. Also Lyapunov''s stabili…

EngineeringTRACKING CONTROLControl and OptimizationAdaptive controlbusiness.industryKalman filterFuzzy control systemMotion controlFuzzy logicMOBILE ROBOTSComputer Science ApplicationsHuman-Computer InteractionControl and Systems EngineeringControl theoryElectrical and Electronic EngineeringRobust controlbusinessParametric statistics
researchProduct

TQM, innovation and the role of cultural change

2013

PurposeThe purpose of this paper is to better understand the influence of total quality management (TQM) practices on incremental and radical innovation, examining the role of diverse cultural change as a mediator, particularly in firms where ever‐increasing competitive pressure demands a combination of quality and innovation.Design/methodology/approachFrom previous research on the influence of TQM practices on innovation, the paper proposes a model which is tested through a survey carried out on a sample of 72 Spanish firms that have been drastically hit by competition from Asian companies, achieving a 51.42 percent valid return rate.FindingsNone of the sets of TQM practices directly affec…

EngineeringTotal quality managementbusiness.industryStrategy and Managementmedia_common.quotation_subjectCompetitive pressureSample (statistics)Industrial and Manufacturing EngineeringComputer Science ApplicationsManagement Information SystemsCompetition (economics)Goodness of fitIndustrial relationsPositive relationshipQuality (business)Marketingbusinessmedia_commonIndustrial Management & Data Systems
researchProduct

Data-driven design of robust fault detection system for wind turbines

2014

Abstract In this paper, a robust data-driven fault detection approach is proposed with application to a wind turbine benchmark. The main challenges of the wind turbine fault detection lie in its nonlinearity, unknown disturbances as well as significant measurement noise. To overcome these difficulties, a data-driven fault detection scheme is proposed with robust residual generators directly constructed from available process data. A performance index and an optimization criterion are proposed to achieve the robustness of the residual signals related to the disturbances. For the residual evaluation, a proper evaluation approach as well as a suitable decision logic is given to make a correct …

EngineeringWind powerbusiness.industryMechanical EngineeringControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionResidualData-drivenTurbineFault detection and isolationComputer Science ApplicationsData-drivenNonlinear systemOptimization criterionPerformance indexControl and Systems EngineeringRobustness (computer science)Control theoryElectrical and Electronic EngineeringbusinessDecision tableRobustnessFault detectionWind turbineData-driven; Fault detection; Optimization criterion; Performance index; Robustness; Wind turbine; Mechanical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering
researchProduct

Timber anti-seismic devices in historical architecture in the Mediterranean area

2017

Questo lavoro esamina l’uso di un dispositivo strutturale in legno storico utilizzato come rinforzo della muratura per i sistemi di prevenzione sismica nell'area mediterranea. Tale tecnologia viene realizzata mediante un telaio tridimensionale tridimensionale di legno incorporato nella muratura di pietra per legare insieme le varie parti strutturali e contribuire alla resistenza sismica complessiva. Molto spesso, questo principio costruttivo fu esteso non solo per le parti più deboli, ma per l'intero edificio, creando nuove configurazioni strutturali che erano in grado di assorbire gli effetti delle azioni sismiche. Dalle esperienze costruttive di epoca romana (opus craticium), questo siste…

Engineeringbusiness.industryApplied MathematicsComputational Mechanicsarchitettura storica tecniche costruttive legno muratura presidi costruttivi antisismici intelaiatura ligneaSettore ICAR/10 - Architettura Tecnicaconstruction materials constructive technology historical architecture masonry seismic reinforcement timber frame wood. 1MasonryCivil engineeringComputer Science ApplicationsComputational MathematicsModeling and SimulationMediterranean areaArchitecturebusinessInternational Journal of Computational Methods and Experimental Measurements
researchProduct

A computer‐aided instrument for pattern recognition of partial discharges

1998

In this paper a new computer‐aided digital system for partial discharge (PD) measurements is presented. The system is able to collect a great number of data, up to a pulse repetition rate of 100kHz, during the acquisition phase, thus allowing an off‐line analysis of PD data. After a description of the instrument, some experimental tests performed on epoxy specimens are here presented in terms of amplitude, phase and energy resolved histograms. Finally, emphasis is given to the very interesting use of the instrument for pattern recognition techniques in the discrimination and classification of discharges in HV components.

Engineeringbusiness.industryApplied MathematicsEmphasis (telecommunications)Phase (waves)Pattern recognitionComputer Science ApplicationsAmplitudeComputational Theory and MathematicsHistogramPartial dischargePattern recognition (psychology)Computer-aidedArtificial intelligenceElectrical and Electronic EngineeringbusinessEnergy (signal processing)COMPEL - The international journal for computation and mathematics in electrical and electronic engineering
researchProduct

A Monte Carlo Method for the Auto-Evaluation of the Uncertainties in the Analog-to-Digital Conversion-Based Measurements

2004

This paper concerns with the measurement uncertainty estimation in the analog‐to‐digital conversion‐based instruments. By using an ad hoc developed software tool, the Monte Carlo method is applied in order to assess the uncertainties associated with the measurement results, overcoming the possible inapplicability of the pure theoretical approach prescribed in the ISO – “Guide to the Expression of Uncertainty in Measurement”. By implementing the software tool in the measurement instruments, the proposed approach can be utilized in order to make the instrument itself able to auto‐estimate the measurement uncertainties.

Engineeringbusiness.industryApplied MathematicsSoftware toolMonte Carlo methodMeasurementsAuto evaluationrandom-fuzzy variablesControl engineeringExpression (mathematics)Computer Science ApplicationsComputational Theory and MathematicsAnalog to digital conversionMeasuring instrumentMeasurement uncertaintyUncertainty analysisElectrical and Electronic EngineeringbusinessSimulation
researchProduct