Search results for " artificial intelligence"

showing 10 items of 1992 documents

Digital image analysis technique for measuring railway track defects and ballast gradation

2018

Abstract In order to guarantee safety and driving comfort and to maintain an efficient railway infrastructure, the first step is to carefully monitor the track geometry and wear level of the materials constituting the superstructure. To that end diagnostic trains are widely used on main lines, in that they can detect several geometric track parameters and rail wear, but under no circumstances they can yet detect ballast gradation. Due to the practical implications for the planning of maintenance operations on the railway network, this article presents a “DIP” digital image processing technique for measuring the transverse profile and corrugations of the rails as well as ballast gradation. T…

BallastStatistics and ProbabilityEngineering3304Aggregate gradationRail profile02 engineering and technologyRailway trackCondensed Matter PhysicTrack (rail transport)BallastAutomotive engineeringStereoscopic visionDigital image processing0202 electrical engineering electronic engineering information engineeringRail profileSettore ICAR/04 - Strade Ferrovie Ed AeroportiTrack geometryElectrical and Electronic EngineeringInstrumentationbusiness.industryApplied Mathematics020208 electrical & electronic engineeringStructural engineeringCondensed Matter PhysicsRail inspection020201 artificial intelligence & image processingGradationTrainImage analysibusiness
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Reflectance-based surface saliency

2017

In this paper, we propose an original methodology allowing the computation of the saliency maps for high dimensional RTI data (Reflectance Transformation Imaging). Unlike most of the classical methods, our approach aims at devising an intrinsic visual saliency of the surface, independent of the sensor (image) and the geometry of the scene (light-object-camera). From RTI data, we use the DMD (Discrete Modal Decomposition) technique for the angular reflectance reconstruction, which we extend by a new transformation on the modal basis enabling a rotation-invariant representation of reconstructed reflectances. This orientation-invariance of the resulting reflectance shapes fosters a robust esti…

Basis (linear algebra)Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineering02 engineering and technologyIterative reconstructionVisual appearanceTransformation (function)Salience (neuroscience)Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessPolynomial texture mappingSurface reconstructionComputingMethodologies_COMPUTERGRAPHICS2017 IEEE International Conference on Image Processing (ICIP)
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Sensor Node Network for Remote Moisture Measurement in Timber Based on Bluetooth Low Energy and Web-Based Monitoring System

2021

This paper proposes an IoT system based on wireless BLE connectivity to monitor the moisture content of wood, using a compact and low-cost moisture device that relies on a resistance measurement method valid for an ultra-wide range of resistance values. This device is digitally controlled with a BLE-incorporated micro-controller characterized by its small size and low power consumption, providing long-life battery. The proposed system consists of two main parts: first, the BLE moisture device including the moisture content measurement and wireless capability (BLE)

Battery (electricity)IoTComputer scienceReal-time computingCloud computingwood moisture sensorcloud server02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryMoisture measurement0202 electrical engineering electronic engineering information engineeringWirelessWeb applicationlcsh:TP1-1185Electrical and Electronic EngineeringWood industryInstrumentationWater contentInternetMoisturebusiness.industry020206 networking & telecommunicationsXarxes locals sense fil Wi-Fiweb applicationmoisture estimationAtomic and Molecular Physics and OpticsVisualizationIoT networkSensor nodeBLE020201 artificial intelligence & image processingSoCbusiness
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Efficient contactless power transfer system for EVs

2016

Based on the inductive power transfer (IPT), the contactless approach allows safe and comfortable operations of battery charging for Electric Vehicles (EVs). In this paper, a contactless system particularly suitable for E-bike battery charging is proposed. A practical realization of the system has been carried out, aiming at the system evaluation in terms of working and efficiency. Through a phase shift modulation, a power regulation has been implemented. The target power level is 100 W.

Battery (electricity)Power regulationbusiness.industryComputer science020208 electrical & electronic engineeringelectric vehicleElectrical engineeringSystem evaluation02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciPower levelelectric vehicles; inductive power transfer; contactless charging; vehicle-to-grid.ModulationLogic gate0202 electrical engineering electronic engineering information engineeringcontactless chargingMaximum power transfer theoremComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS020201 artificial intelligence & image processinginductive power transfervehicle-to-gridbusinessRealization (systems)electric vehicles
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Near field improvements of stochastic collaborative beamforming in wireless sensor networks

2020

Wireless sensor networks (WSN) are groups of small devices that contain a microcontroller in which a large number of sensors can be added. They transmit data and communicate to each other in the ISM band, standard IEEE 802.15.4, exchanging packets using a multi-hop routing. These devices are named motes and are nodes of the WSN. They are very simple and easy to program, powered by batteries of 1.5Volts (AA and AAA). The nodes are autonomous elements that can be deployed implementing any type of network. In a typical deployment the nodes communicate with each other and with a master node or Base Station (BS), which in turn transmits the information to an external server, which collects the e…

Beamforming020203 distributed computingNetwork packetbusiness.industryComputer scienceNode (networking)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS02 engineering and technologySynchronizationBase stationTransmission (telecommunications)0202 electrical engineering electronic engineering information engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS020201 artificial intelligence & image processingbusinessWireless sensor networkISM bandComputer networkProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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Practical Considerations in the Implementation of Collaborative Beamforming on Wireless Sensor Networks

2017

Wireless Sensor Networks (WSNs) are composed of spatially distributed autonomous sensor devices, named motes. These motes have their own power supply, processing unit, sensors and wireless communications However with many constraints, such as limited energy, bandwidth and computational capabilities. In these networks, at least one mote called a sink, acts as a gateway to connect with other networks. These sensor networks run monitoring applications and then the data gathered by these motes needs to be retrieved by the sink. When this sink is located in the far field, there have been many proposals in the literature based on Collaborative Beamforming (CB), also known as Distributed or Cooper…

BeamformingEngineering02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryDefault gateway0202 electrical engineering electronic engineering information engineeringWirelesslcsh:TP1-1185ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic Engineeringwireless sensor networksInstrumentationbusiness.industryBandwidth (signal processing)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKScollaborative beamforming020206 networking & telecommunicationsAtomic and Molecular Physics and OpticsPower (physics)cooperative beamforming020201 artificial intelligence & image processingSink (computing)businessWireless sensor networkdistributed beamformingEnergy (signal processing)Computer networkSensors
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Decoding Children's Social Behavior

2013

We introduce a new problem domain for activity recognition: the analysis of children's social and communicative behaviors based on video and audio data. We specifically target interactions between children aged 1-2 years and an adult. Such interactions arise naturally in the diagnosis and treatment of developmental disorders such as autism. We introduce a new publicly-available dataset containing over 160 sessions of a 3-5 minute child-adult interaction. In each session, the adult examiner followed a semi-structured play interaction protocol which was designed to elicit a broad range of social behaviors. We identify the key technical challenges in analyzing these behaviors, and describe met…

Behavior Psychology Dataset Video analysis Speech Analysis AutismInter-action protocolsSocial and communicative behaviorInteraction protocol02 engineering and technologycomputer.software_genreAnnan data- och informationsvetenskapSession (web analytics)Activity recognitionTechnical challenges0202 electrical engineering electronic engineering information engineeringmedicineSocial behaviorAudio signal processingMultimediabusiness.industryDevelopmental disorders020207 software engineeringmedicine.diseaseSemi-structuredResearch questionsActivity recognitionProblem domainKey (cryptography)Autism020201 artificial intelligence & image processingArtificial intelligencePsychologybusinessOther Computer and Information SciencecomputerCognitive psychologySocial behavior2013 IEEE Conference on Computer Vision and Pattern Recognition
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A comparison of HDFS compact data formats: Avro versus Parquet

2017

In this paper, file formats like Avro and Parquet are compared with text formats to evaluate the performance of the data queries. Different data query patterns have been evaluated. Cloudera’s open-source Apache Hadoop distribution CDH 5.4 has been chosen for the experiments presented in this article. The results show that compact data formats (Avro and Parquet) take up less storage space when compared with plain text data formats because of binary data format and compression advantage. Furthermore, data queries from the column based data format Parquet are faster when compared with text data formats and Avro. Article in English. HDFS glaustųjų duomenų formatų palyginimas: Avro prieš Parquet…

Big DataComputer scienceBig dataEnergy Engineering and Power Technology02 engineering and technologyManagement Science and Operations Researchcomputer.software_genreColumn (database)020204 information systemsData query0202 electrical engineering electronic engineering information engineeringHDFSDatabasebusiness.industryPlain textMechanical Engineeringcomputer.file_formatAvroFile formatHiveParquetData formatHadoopBinary data020201 artificial intelligence & image processingbusinesscomputerMokslas – Lietuvos ateitis / Science – Future of Lithuania
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FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy

2021

Abstract Background Storage of genomic data is a major cost for the Life Sciences, effectively addressed via specialized data compression methods. For the same reasons of abundance in data production, the use of Big Data technologies is seen as the future for genomic data storage and processing, with MapReduce-Hadoop as leaders. Somewhat surprisingly, none of the specialized FASTA/Q compressors is available within Hadoop. Indeed, their deployment there is not exactly immediate. Such a State of the Art is problematic. Results We provide major advances in two different directions. Methodologically, we propose two general methods, with the corresponding software, that make very easy to deploy …

Big DataFASTQ formatComputer scienceBig data02 engineering and technologycomputer.software_genrelcsh:Computer applications to medicine. Medical informaticsBiochemistry03 medical and health sciencesSoftwareStructural BiologySpark (mathematics)0202 electrical engineering electronic engineering information engineeringData_FILESMapReduceMapReduce; hadoop; sequence analysis; data compressionMolecular Biologylcsh:QH301-705.5030304 developmental biologyFile system0303 health sciencesSettore INF/01 - InformaticaDatabasebusiness.industryMethodology ArticleApplied MathematicsSequence analysisGenomicsData compression; Hadoop; MapReduce; Sequence analysis; Algorithms; Big Data; Data Compression; Genomics; SoftwareComputer Science Applicationslcsh:Biology (General)Software deploymentHadoopData compressionlcsh:R858-859.7020201 artificial intelligence & image processingState (computer science)businesscomputerAlgorithmsSoftwareData compressionBMC Bioinformatics
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SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING

2016

[EN] The characteristics of people who are related or tied to each individual affects her activity-travel behavior. That influence is especially associated to social and recreational activities, which are increasingly important. Collecting high quality data from those social networks is very difficult using traditional travel surveys, because respondents are asked about their general social life, which is most demanding to remember that specific facts. On the other hand, currently there are different potential sources of transport data, which is characterized by the huge amount of information available, the velocity with it is obtained and the variety of format in which is presented. This s…

Big DataOperations researchTransport PlanningComputer scienceBig data02 engineering and technologyINGENIERÍA DEL TRANSPORTEINGENIERIA E INFRAESTRUCTURA DE LOS TRANSPORTESSocial life0502 economics and business0202 electrical engineering electronic engineering information engineeringTransporte y movilidad 34807 / C - Máster universitario en sistemas inteligentes de transporte 2283sortRecreation050210 logistics & transportationTransportation planningSocial networkMINERVA projectbusiness.industry05 social sciencesData scienceVariety (cybernetics)Social NetworksData quality020201 artificial intelligence & image processingbusinessLibro de Actas CIT2016. XII Congreso de Ingeniería del Transporte
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