Search results for " computing"

showing 10 items of 2075 documents

The Near Real Time Ionospheric Model of Latvia

2015

A highly accurate ionosphere model is necessary to enable a fast and reliable coordinate determination with GNSS in real time. It is a partially ionized atmospheric region ranging up to 1,000 km height, affected by spatial variations, space weather, seasonal and solar cycle dependence. New approaches and algorithms of modelling techniques are sought to provide better solutions in the territory of Latvia. Ionospheric TEC value has large differences in Western Latvia and Eastern Latvia. Actual ionospheric map should be calculated and delivered to the surveyors near real time and published on the WEB. Delivering actual map to rover GNSS devices in a field will provide the surveyors with ionosp…

GeographyGNSS applicationsTECPhysics::Space PhysicsReal-time computingGeodetic datumRangingIonosphereSpace weatherField (geography)Physics::GeophysicsSolar cycleRemote sensingIOP Conference Series: Materials Science and Engineering
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CloudSim: A fair benchmark for comparison of methods for times series reconstruction from cloud and atmospheric contamination

2015

Cloud contamination of optical data is a constant and annoying feature of time series analyses, whether while using vegetation indices or surface temperatures, since it tends to decrease artificially the values taken by these parameters. Therefore, any time series analysis of optical data needs a previous step for gap-filling reconstruction of the time series. Numerous techniques have been presented in the literature to carry out this preliminary and mandatory step. However, the evaluation and comparison of these techniques is difficult, since no “truth” time series is available. We present here a probabilistic model (CloudSim) to provide global typical annual time series for NDVI (Normaliz…

GeographyMeteorologySeries (mathematics)business.industryBenchmark (surveying)CloudSimCloud computingStatistical modelTime seriesbusinessNormalized Difference Vegetation IndexStandard deviationRemote sensing2015 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images (Multi-Temp)
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A flux retrieval error behavior with CERES/TRMM data

2003

With the aid of CERES/TRMM (Clouds and the Earth's Radiant Energy System/Tropical Rainfall Measuring Mission) data, sampling problems that may impact the construction of anisotropic models have been investigated. We show the influence of the sun-orbit geometry, which causes a lack of measurements in forward and backward scattering directions at large viewing zenith angles, and how cloud properties retrieval algorithms as obtained from the Visible Infrared Scanner (VIRS) also affect sampling. We have also focused our attention on the dependency of the cloud cover retrieval algorithm with respect to the viewing zenith angle (VZA), showing that the shape of the cloud cover probability density …

GeographyMeteorologybusiness.industryCloud coverFluxSampling (statistics)Radiant energyProbability density functionCloud computingOrbital mechanicsbusinessZenithRemote sensingRemote Sensing of Clouds and the Atmosphere VII
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Dendrochemical assessment of mercury releases from a pond and dredged-sediment landfill impacted by a chlor-alkali plant.

2016

International audience; Although current Hg emissions from industrial activities may be accurately monitored, evidence of past releases to the atmosphere must rely on one or more environmental proxies. We used Hg concentrations in tree cores collected from poplars and willows to investigate the historical changes of Hg emissions from a dredged sediment landfill and compared them to a nearby control location. Our results demonstrated the potential value of using dendrochemistry to record historical Hg emissions from past industrial activities.

Geologic Sediments010504 meteorology & atmospheric scienceschemistry.chemical_elementIndustrial Waste[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]010501 environmental sciencesGeologic SedimentsAlkalies01 natural sciencesBiochemistryIndustrial waste[ SDV.EE ] Life Sciences [q-bio]/Ecology environmentTrees[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Waste Disposal Facilityddc:550Salicaceous speciesPondsComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesGeneral Environmental Science[SDV.EE]Life Sciences [q-bio]/Ecology environmentChlor-alkali plantEcologyTree ringsSalixMercury[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationMercury (element)Waste Disposal FacilitiesPopuluschemistry13. Climate action[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Environmental chemistryEnvironmental scienceDendrochemistry[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Environmental Pollutants[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Environmental research
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Toxicokinetics, toxicity and lethal body residues of two chlorophenols in the oligochaete worm, Lumbriculus variegatus, in different sediments

2003

Bioavailability, toxicokinetics and toxicity (LC(50)) of water- and sediment-associated 2,4,5-trichlorophenol (2,4,5-TCP) and pentachlorophenol (PCP) were measured in Lumbriculus variegatus Müller in a set of experiments. The critical body residue approach was applied by measuring also the lethal body residues (LBR(50)). Freshwater and three different sediments with various sediment organic carbon (SOC) concentrations were used as exposure media. SOC decreased the bioavailability of both chlorophenols, and the uptake rates decreased by 81% and 91% for 2,4,5-TCP and PCP, respectively, in the sediment with a SOC of 6.9% compared to those in sediment with a SOC of 0.5%. SOC appeared to be an i…

Geologic SedimentsLumbriculus variegatusPentachlorophenolEnvironmental EngineeringHealth Toxicology and MutagenesisLumbriculidaeBiological AvailabilityLethal Dose 50chemistry.chemical_compoundDry weightAnimalsEnvironmental ChemistryToxicokineticsOligochaetaMathematical ComputingChlorophenolbiologyPublic Health Environmental and Occupational HealthSedimentGeneral MedicineGeneral Chemistrybiology.organism_classificationPollutionPentachlorophenolBioavailabilitychemistryEnvironmental chemistryBody BurdenWater Pollutants ChemicalChlorophenolsChemosphere
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GAPP Compiler for Hardware Accelerated Geometric Algebra Computing

2016

Because of the high numeric complexity of Geometric Algebra, its use in engineering applications relies heavily on tools for ecient implementations. In this article, we introduce a new quality of Geometric Algebra Computing solutions based on a new compiler for Geometric Algebra Parallelism Programs (GAPP). These programs are already optimized in a sense that only the really needed computations are left. The GAPP compiler is able to generate two output formats leading to advanced hardware accelerated Geometric Algebra Computing. On one hand, there is the direct generation of HSAIL code, in order to more eciently support the solutions of the broad range of heterogeneous computing architectur…

Geometric Algebra Computing HSAIL Gaalop GAPP GAPPCO.
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Special track on Geometric Constraints and Reasoning

2008

Geometric Computing and Reasoning (GCR) aims at emphasizing recent trends in the domain of geometric constraint solving and automated, or computer aided deduction in geometry. This year sees the third edition of this technical track of SAC.

Geometric networksConstraint (information theory)Theoretical computer scienceComputer scienceTrack (rail transport)Geometric computingComputingMethodologies_COMPUTERGRAPHICSDomain (software engineering)Proceedings of the 2008 ACM symposium on Applied computing
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Big Data in Medical Science–a Biostatistical View

2015

Big data” is a universal buzzword in business and science, referring to the retrieval and handling of ever-growing amounts of information. It can be assumed, for example, that a typical hospital generates hundreds of terabytes (1 TB = 1012 bytes) of data annually in the course of patient care (1). For instance, exome sequencing, which results in 5 gigabytes (1 GB = 109 bytes) of data per patient, is on the way to becoming routine (2). The analysis of such enormous volumes of information, i.e., organization and description of the data and the drawing of (scientifically valid) conclusions, can already hardly be accomplished with the traditional tools of computer science and statistics. For ex…

Gigabytebusiness.industrymedia_common.quotation_subjectBig dataByteCloud computingGeneral MedicineTerabyteBioinformaticsData scienceData analysisMedicinebusinessFunction (engineering)media_commonDatasets as TopicDeutsches Ärzteblatt international
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Optimizing and comparing gap-filling techniques using simulated NDVI time series from remotely sensed global data

2019

Abstract NDVI (Normalized Difference Vegetation Index) time series usually suffer from remaining cloud presence, even after data pre-processing. To address this issue, numerous gap-filling (or reconstruction) techniques have been developed in the literature, although their comparison has mainly been local to regional, with only two global studies to date, and has led to sometimes contradictory results. This study builds on these different comparisons, by testing different parameterizations for five NDVI temporal profile reconstruction techniques, namely HANTS (Harmonic Analysis of Time Series), IDR (iterative Interpolation for Data Reconstruction), Savitzky-Golay, Asymmetric Gaussian and Do…

Global and Planetary Change010504 meteorology & atmospheric sciencesSeries (mathematics)business.industryComputer scienceGaussian0211 other engineering and technologiesCloud computing02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesNormalized Difference Vegetation IndexHarmonic analysissymbols.namesakeBenchmark (surveying)Range (statistics)symbolsComputers in Earth Sciencesbusiness021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesRemote sensingInterpolationInternational Journal of Applied Earth Observation and Geoinformation
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Cloud-based interactive susceptibility modeling of gully erosion in Google Earth Engine

2022

The gully erosion susceptibility literature is largely dominated by contributions focused on model comparison. This has led to prioritize certain aspects and leave others underdeveloped as compared to other natural hazard applications. For instance, in gully erosion data-driven modeling most studies use different platforms when it comes to data management, modeling and conversion into predictive maps. This in turn has limited the scope to catchment-scales. In this manuscript, we opt to propose a tool where the whole modeling procedure is unified within the same cloud computing system, allowing one to get rid of potential errors caused by input/output operations but also to extend the study …

Global and Planetary ChangeUT-Gold-DSusceptibility modelingITC-ISI-JOURNAL-ARTICLEOpen sourcingCloud computingManagement Monitoring Policy and LawComputers in Earth SciencesITC-GOLDGoogle Earth EngineEarth-Surface Processes
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