Search results for "data management"

showing 10 items of 117 documents

Harmonizing circumpolar monitoring of Arctic fox: benefits, opportunities, challenges and recommendations.

2017

Source at http://dx.doi.org/10.1080/17518369.2017.1319602 The biodiversity working group of the Arctic Council has developed pan-Arctic biodiversity monitoring plans to improve our ability to detect, understand and report on long-term change in Arctic biodiversity. The Arctic fox (Vulpes lagopus) was identified as a target of future monitoring because of its circumpolar distribution, ecological importance and reliance on Arctic ecosystems. We provide the first exhaustive survey of contemporary Arctic fox monitoring programmes, describing 34 projects located in eight countries. Monitored populations covered equally the four climate zones of the species’ distribution, and there were large dif…

VDP::Mathematics and natural science: 400::Zoology and botany: 480::Ecology: 4880106 biological sciencesVulpesmedia_common.quotation_subjectBiodiversityDistribution (economics):Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480 [VDP]Oceanography010603 evolutionary biology01 natural sciencesCompetition (biology)VDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488lcsh:Oceanographybiology.animalEarth and Planetary Sciences (miscellaneous)Environmental ChemistryArctic foxlcsh:GC1-158114. Life underwaterlcsh:Environmental sciencesGeneral Environmental Sciencemedia_commonbiodiversity indicatorlcsh:GE1-350biologyEcologybusiness.industryArctic ecosystems010604 marine biology & hydrobiologyCircumpolar star15. Life on landbiology.organism_classificationAlopex lagopusbiodiversity assessmentArctic13. Climate actionLagopusdata management[SDE.BE]Environmental Sciences/Biodiversity and Ecologybusinessprotocol harmonization
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Izpildes pamatrādītāju ieviešana Datu apstrādes komandā

2015

Mūsdienās uzņēmumi un organizācijas aizvien vairāk sāk domāt par savu darbinieku zināšanu kapitālu, darba kvalitāti un attiecīgi darbinieku uzdevumu izpildi. Tādēļ maģistra darba autore ir izvēlējusies savā darbā apskatīt izpildes pamatrādītāju sistēmas un iespējas to ieviešanai. Maģistra darba mērķis ir, pamatojoties uz uzņēmuma un datu apstrādes komandas procesu analīzi, identificēt iespējamos izpildes pamatrādītājus par visas komandas darbību un izstrādāt priekšlikumus to ieviešanai. Maģistra darba mērķa sasniegšanai tika izvirzīti sekojoši uzdevumi: •iepazīties ar izpildes pamatrādītāju pieejām un sistēmām, lai spētu izprast to nozīmīgumu un būtību; •novērtēt pamatdatu pārvaldīšanas noz…

VadībzinātneIzpildes pamatrādītājiKey Performance IndicatorsPamatdatu pārvaldībaMaster Data ManagementKPI
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RDF-tietomalli toimintaprosessin tiedonhallinnan tukena : esimerkkinä suomalainen lainsäädäntöprosessi

2004

WWW-sivustottiedonhallintatoimintaprosessitRDF Schemadata managementtoimintaohjelmatsemanttinen webRDFSemantic Web
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Offshore wind metadata management

2014

Offshore wind energy is gaining more and more attention from industry and research community due to its high potential in producing green energy and lowering price on electricity consumption. However, offshore wind is facing many challenges, and hence it is still expensive to install in large scale. It therefore needs to be considered from different aspects of technologies in order to overcome these challenges. One of the problems of the offshore wind is that information comes from different sources with diversity in types and format. Besides, there are existing wind databases that should be utilised in order to enrich the knowledge base of the wind domain. This paper describes an approach …

Wind powerDatabaseComputer sciencebusiness.industryLibrary and Information SciencesOntology (information science)computer.software_genreComputer Science ApplicationsMetadataOffshore wind powerKnowledge baseMetadata managementSystems engineeringSemantic technologybusinesscomputerInformation SystemsData integrationInternational Journal of Metadata, Semantics and Ontologies
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Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture

2017

International audience; Protecting the safety of occupants and the environment is a core value within Facilities Management. Data acquisition systems such as wireless sensor networks can help to monitor facilities to reduce hazards such as fire, water flooding and burglaries. Building Information Modeling (BIM) is a revolutionary development that is reshaping the Architecture Engineering and Construction (AEC) industry. BIM is both a process and a technology, offers wide solutions for facilities management. In order to monitor and manage facilities data in a BIM based simulated environment, this work reports upon a development of a system that uses BIM software and a wireless sensor technol…

business.industryComputer science020209 energyData managementBig data0211 other engineering and technologiesIntegration02 engineering and technology[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsFacility managementData visualizationData acquisitionBuilding information modeling021105 building & constructionManagement system0202 electrical engineering electronic engineering information engineeringSystems engineeringbusinessWireless sensor network
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Big Data Metadata Management in Smart Grids

2014

Smart home, smart grids, smart museum, smart cities, etc. are making the vision for living in smart environments come true. These smart environments are built based upon the Internet of Things paradigm where many devices and applications are involved. In these environments, data are collected from various sources in diverse formats. The data are then processed by different intelligent systems with the purpose of providing efficient system planning, power delivery, and customer operations. Even though there are known technologies for most of these smart environments, putting them together to make intelligent and context-aware systems is not an easy task. The reason is that there are semantic…

business.industryComputer scienceBig dataIntelligent decision support systemcomputer.file_formatData scienceWorld Wide WebMetadataSmart gridHome automationMetadata managementSmart environmentRDFbusinessInternet of Thingscomputer
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How Hadoop and Spark benchmarking algorithms can improve remote health monitoring and data management platforms?

2019

This chapter introduces the characteristics of e-care platform and the concept of ontology which helps the reader understand the system that will implement big data tools for its migration while also focusing on focuses on the most popular systems in the Hadoop ecosystem, emphasizing MapReduce and Spark.

business.industryComputer scienceData managementBig dataSpark (mathematics)BenchmarkingOntology (information science)businessData science
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Real-time data processing in the ALICE High Level Trigger at the LHC

2019

At the Large Hadron Collider at CERN in Geneva, Switzerland, atomic nuclei are collided at ultra-relativistic energies. Many final-state particles are produced in each collision and their properties are measured by the ALICE detector. The detector signals induced by the produced particles are digitized leading to data rates that are in excess of 48 GB/$s$. The ALICE High Level Trigger (HLT) system pioneered the use of FPGA- and GPU-based algorithms to reconstruct charged-particle trajectories and reduce the data size in real time. The results of the reconstruction of the collision events, available online, are used for high level data quality and detector-performance monitoring and real-tim…

calibration ; ALICE ; trigger ; monitoring ; quality ; data management ; programming ; FPGA ; multiprocessor: graphics ; performancePhysics - Instrumentation and DetectorsHigh level triggerPhysics::Instrumentation and DetectorsLevel datatutkimuslaitteetFPGA; GPUDetector calibrationGPUFOS: Physical sciencesGeneral Physics and AstronomyhiukkasfysiikkaPhysics and Astronomy(all)01 natural sciencesprogramming010305 fluids & plasmasCombinatoricsALICE0103 physical sciencesmultiprocessor: graphics[INFO]Computer Science [cs][PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]Detectors and Experimental Techniques010306 general physicsNuclear Experimentphysics.ins-detFPGAcomputer.programming_languagePhysicsLarge Hadron ColliderFPGA; GPU; TRACKsignaalinkäsittelyInstrumentation and Detectors (physics.ins-det)triggercalibrationmonitoringdatailmaisimetqualityHardware and ArchitectureTRACKHigh Energy Physics::Experimentdata managementAlice (programming language)computerperformance
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Volume I. Introduction to DUNE

2020

Journal of Instrumentation 15(08), T08008 (1-228) (2020). doi:10.1088/1748-0221/15/08/T08008

detector: technologydeep underground detector [neutrino]530 PhysicsPhysics::Instrumentation and DetectorsData managementmedia_common.quotation_subjectfar detector610Long baseline neutrino experiment CP violation01 natural sciences030218 nuclear medicine & medical imagingNeutrino oscillations. Neutrino Detectors. CP violation. Matter stabilitydesign [detector]03 medical and health sciencesneutrinoneutrino: deep underground detector0302 clinical medicinenear detector0103 physical sciencesDeep Underground Neutrino Experimentddc:610Neutrino oscillationInstrumentationdetector: designMathematical Physicsactivity reportmedia_common010308 nuclear & particles physicsbusiness.industryNeutrino oscillations. Neutrino Detectors. CP violation. Matter stability.DetectorVolume (computing)Modular designtime projection chamber: liquid argonUniversetechnology [detector]liquid argon [time projection chamber]Systems engineeringHigh Energy Physics::ExperimentNeutrino oscillations DUNE technical design report executive summary detector technologiesdata managementNeutrinobusiness
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Developing document management for a large-scale engineering project : the case of ALICE-EDMS with TuoviWDM interface

1999

document managementprojectproduct data managementdocumentEDMSTuoviWDM
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