Search results for "A* algorithm"

showing 10 items of 2538 documents

An effective approach for the maintenance scheduling in large systems with required reliability level: A case study

2015

This paper deals with the problem of the maintenance scheduling in a multi-component system for which a required reliability level has to be warranted until the next planned stop for maintenance. Particularly, the tackled problem concerns both the determination of the elements set on which to perform preventive maintenance and the optimal number of maintenance crews in order to warranty the required reliability level at the minimum maintenance cost. The problem is formulated as a mathematical programming model that becomes very hard to solve for large practical systems. For such reason, a new effective approach based on a constrained genetic algorithm is herein proposed and tested with refe…

constrained genetic algorithmSettore ING-IND/17 - Impianti Industriali Meccanicimathematical programming modelMaintenance scheduling optimizationSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazioneseries–parallel system
researchProduct

A deterministic simulation study of embryo marker-assisted selection for age at first calving in Nellore (Bos indicus) beef cattle

2007

Submitted by Guilherme Lemeszenski (guilherme@nead.unesp.br) on 2013-08-22T19:04:58Z No. of bitstreams: 1 S1415-47572007000400008.pdf: 85300 bytes, checksum: 7422029b120457123fb366c1bd71e758 (MD5) Made available in DSpace on 2013-08-22T19:04:58Z (GMT). No. of bitstreams: 1 S1415-47572007000400008.pdf: 85300 bytes, checksum: 7422029b120457123fb366c1bd71e758 (MD5) Previous issue date: 2007-01-01 Made available in DSpace on 2013-09-30T20:08:32Z (GMT). No. of bitstreams: 2 S1415-47572007000400008.pdf: 85300 bytes, checksum: 7422029b120457123fb366c1bd71e758 (MD5) S1415-47572007000400008.pdf.txt: 39461 bytes, checksum: 2796161439379a834535eeaff8aac2ba (MD5) Previous issue date: 2007-01-01 Submitt…

dairy-cattlelcsh:QH426-470Ice calvingefficient productionBeef cattleBiologyAnimal Breeding and Genomicsbreeding schemesmarker-assisted selectionmultistage selectionoutbred populationage at first calvingMarker assisted selectionAnimal sciencebeef cattleGenetic variationGeneticsFokkerij en GenomicaMolecular BiologySelection (genetic algorithm)Dairy cattlereproductive traitsbusiness.industryfungibovine preimplantation embryosfood and beveragesBeef cattlegenetic-linkage mapMarker-assisted selectionrespiratory systemBiotechnologyTransplantationlcsh:Geneticspre-selectionGenetic gainsingle blastomerequantitative trait lociWIASbusiness
researchProduct

Algorytmy — nowy wymiar nadzoru i kontroli nad świadczącym pracę

2020

Autor wskazuje, że algorytmy stają się kluczową technologią władzy nad świadczącym pracę. Pozwalają na sformatowanie zarówno samych pracowników, jak i wzajemnych oddziaływań między nimi zasadniczo w jednym celu — optymalizacji procesów pracy służących zwiększeniu wydajności. Z tej perspektywy pracownik jest cyfrowym modelem zbudowanym z danych i informacji. Oznacza to, że wszelkie jego ekspresje ujawniane w środowisku pracy będą mogły być mierzalne, i to na rożne sposoby. Algorytmy rzucają również nowe światło na zagadnienie podporządkowania w zatrudnieniu. A wszystko dzięki ,,wtapianiu się” ich w środowisko danych biometrycznych osób świadczących pracę. W pewien sposób przejmują one własno…

dane biometrycznepodporządkowanie technologicznetechnological subordinationbiometric dataPolitical sciencealgorytmy uczenia głębokiegodeep learning algorithmsalgorithmic enterprisesAlgorithmprzedsiębiorstwa algorytmiczneinformacjainformationPraca i Zabezpieczenie Społeczne
researchProduct

Track finding at Belle II

2021

Computer physics communications 259, 107610 (2021). doi:10.1016/j.cpc.2020.107610

data analysis methodPhysics - Instrumentation and DetectorsComputer scienceReal-time computingFOS: Physical sciencesGeneral Physics and AstronomyBELLETrack (rail transport)01 natural sciences530programming010305 fluids & plasmasHigh Energy Physics - ExperimentTracking algorithmsHigh Energy Physics - Experiment (hep-ex)Tracking detectorsSoftware0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Belle II; Tracking algorithms; Tracking detectorsBelle IIddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsSpurious relationshipSelection (genetic algorithm)Event reconstructionbusiness.industrytrack data analysisInstrumentation and Detectors (physics.ins-det)Modular designResolution (logic)charged particleHardware and Architecturebusinessperformance
researchProduct

Col : A Data Collection Protocol for Vanet

2012

International audience; In this paper, we present a protocol to collect data within a vehicular ad hoc network (VANET). In spite of the intrinsic dynamic of such network, our protocol simultaneously offers three relevant properties: (1) It allows any vehicle to collect data beyond its direct neighborhood (i.e., vehicles within direct communication range) using vehicle-to-vehicle communications only (i.e., the infrastructure is not required); (2) It tolerates possible network partitions; (3) It works on demand and stops when the data collection is achieved. To the best of our knowledge, this is the first collect protocol having these three characteristics. All that is chiefly obtained thanks…

data collection protocolVehicular communication systemsVANETCorrectnessnetwork operator antComputer sciencedata acquisitionDistributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]self-stabilization area02 engineering and technologyVehicle dynamics[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Transient analysis[SPI]Engineering Sciences [physics]0203 mechanical engineeringvehicular ad hoc networkvehicle to vehicle communication0202 electrical engineering electronic engineering information engineeringAlgorithm design and analysisHeuristic algorithmsCOL algorithmProtocol (object-oriented programming)ComputingMilieux_MISCELLANEOUSAirplug software distributionVehicular ad hoc networkData collectionbusiness.industryNetwork partitionnetwork partition020206 networking & telecommunications020302 automobile design & engineeringVehiclesSoftware distributionRoadsAlgorithm designvehicular ad hoc networksbusinessProtocolsComputer network
researchProduct

UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

2021

Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in mul…

data collection scenariosTK7800-8360Computer Networks and CommunicationsProcess (engineering)Computer scienceDistributed computingComputerApplications_COMPUTERSINOTHERSYSTEMSwireless sensor networks (WSNs)mobile robotsenergy consumptionComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSunmanned aerial vehicles (UAVs)Electrical and Electronic EngineeringData collectionControl algorithmcommunication structuresCommunication structures Control algorithms Data collection scenarios Energy consumption Mobile robots Unmanned aerial vehicles (UAVs) Wireless sensor networks (WSNs)Mobile robotEnergy consumptionSettore ING-IND/31 - ElettrotecnicaHardware and ArchitectureControl and Systems EngineeringSignal Processingcontrol algorithmsElectronicsMobile deviceWireless sensor networkLimited resourcesElectronics
researchProduct

Data-Driven Evolutionary Optimization: An Overview and Case Studies

2019

Most evolutionary optimization algorithms assume that the evaluation of the objective and constraint functions is straightforward. In solving many real-world optimization problems, however, such objective functions may not exist, instead computationally expensive numerical simulations or costly physical experiments must be performed for fitness evaluations. In more extreme cases, only historical data are available for performing optimization and no new data can be generated during optimization. Solving evolutionary optimization problems driven by data collected in simulations, physical experiments, production processes, or daily life are termed data-driven evolutionary optimization. In this…

data-driven optimizationMathematical optimizationOptimization problemmodel managementevoluutiolaskenta02 engineering and technologymatemaattinen optimointiEvolutionary computationTheoretical Computer ScienceData modelingData-drivenModel managementkoneoppiminenComputational Theory and MathematicsdatatiedeoptimointiTaxonomy (general)Constraint functionsalgoritmit0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingsurrogateevolutionary algorithmsSoftware
researchProduct

A data-driven surrogate-assisted evolutionary algorithm applied to a many-objective blast furnace optimization problem

2017

A new data-driven reference vector-guided evolutionary algorithm has been successfully implemented to construct surrogate models for various objectives pertinent to an industrial blast furnace. A total of eight objectives have been modeled using the operational data of the furnace using 12 process variables identified through a principal component analysis and optimized simultaneously. The capability of this algorithm to handle a large number of objectives, which has been lacking earlier, results in a more efficient setting of the operational parameters of the furnace, leading to a precisely optimized hot metal production process. peerReviewed

data-driven optimizationPareto optimalityEngineeringBlast furnaceMathematical optimizationOptimization problemmodel managementblast furnaceEvolutionary algorithm02 engineering and technologyMulti-objective optimizationIndustrial and Manufacturing Engineering020501 mining & metallurgyData-drivenironmakingoptimointi0202 electrical engineering electronic engineering information engineeringGeneral Materials Scienceta113business.industrypareto-tehokkuusMechanical EngineeringProcess (computing)metamodelingMetamodeling0205 materials engineeringmulti-objective optimizationMechanics of MaterialsPrincipal component analysis020201 artificial intelligence & image processingbusinessrautateollisuus
researchProduct

Social Media as an Opinion Formulator: A Study on Implications and Recent Developments

2019

Social media has a great influence on how information reaches us and how we form an opinion based on it. For many users, social media increases the variety of information and ensure its accessibility across different platforms. However, recent years have seen an exponential increase in the power of social media. Most often, the forwarding and sharing of journalistic articles serve the recommendation from the user's point of view, but recently, these platforms have been developed into an echo chamber to transport additional information or even a critical attitude. In addition, the uncontrolled influx of social media in different parts of the world favors phenomena such as fake news and socia…

democratic societiesfake newsFacebookbusiness.industryMediation (Marxist theory and media studies)media_common.quotation_subjectSocial changeInternet privacyconnected audiencesosiaalinen mediaSincerityyleinen mielipideDemocracyVariety (cybernetics)social media.Power (social and political)demokratiavaikuttaminenPolitical scienceThe InternetSocial mediaFacebook algorithmsbusinessvaleuutisetmedia_common2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
researchProduct

Temporal Denoising of Kinect Depth Data

2012

The release of the Microsoft Kinect has attracted the attention of researchers in a variety of computer science domains. Even though this device is still relatively new, its recent applications have shown some promising results in terms of replacing current conventional methods like the stereo-camera for robotics navigation, multi-camera system for motion detection and laser scanner for 3D reconstruction. While most work around the Kinect is on how to take full advantage of its capabilities, so far only a few studies have been carried out on the limitations of this device and fewer that provide solutions to enhance the precision of its measurements. In this paper, we review and analyse curr…

depth measurement[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingLaser scanning[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer scienceNoise reductionDenoising algorithmComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technology[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingtemporal denoising0202 electrical engineering electronic engineering information engineeringComputer visionImage denoisingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industry3D reconstruction020206 networking & telecommunicationsRoboticsMotion detectionKinect depth dataMicrosoft Kinect020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2012 Eighth International Conference on Signal Image Technology and Internet Based Systems
researchProduct