Search results for "clou"

showing 10 items of 830 documents

Automatic shape detection of ice crystals

2021

Abstract Clouds have a crucial impact on the energy balance of the Earth-Atmosphere system. They can cool the system by partly reflecting or scattering of the incoming solar radiation (albedo effect); moreover, thermal radiation as emitted from the Earth's surface can be absorbed and partly re-emitted by clouds leading to a warming of the atmosphere (greenhouse effect). The effectiveness of both effects crucially depends on the size and the shape of a cloud's particulate constituents, i.e. liquid water droplets or solid ice crystals. For studying cloud microphysics, in situ measurements on board of aircraft are commonly used. An important class of measurement techniques comprises optical ar…

General Computer ScienceIce crystalsComputer scienceScatteringbusiness.industryLead (sea ice)Cloud computingFilter (signal processing)RadiationTheoretical Computer ScienceThermal radiationModeling and SimulationParticleBiological systembusinessJournal of Computational Science
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IEEE Access Special Section Editorial : Cloud and Big Data-Based Next-Generation Cognitive Radio Networks

2019

In cognitive radio networks (CRN), secondary users (SUs) are required to detect the presence of the licensed users, known as primary users (PUs), and to find spectrum holes for opportunistic spectrum access without causing harmful interference to PUs. However, due to complicated data processing, non-real-time information exchange and limited memory, SUs often suffer from imperfect sensing and unreliable spectrum access. Cloud computing can solve this problem by allowing the data to be stored and processed in a shared environment. Furthermore, the information from a massive number of SUs allows for more comprehensive information exchanges to assist the resource allocation and interference ma…

General Computer Sciencebusiness.industryComputer scienceBig dataGeneral EngineeringCloud computingInterference (wave propagation)Spectrum managementpilvipalvelutlangaton tiedonsiirtoCognitive radioResource allocationResource allocation (computer)General Materials Sciencelcsh:Electrical engineering. Electronics. Nuclear engineeringkognitiivinen radiobusinesslcsh:TK1-9971Information exchangeComputer network
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Safeguarding the Ultra-dense Networks with the aid of Physical Layer Security: A review and a case study

2016

In the wake of the extensive application of the fourth generation system, investigations of new technologies have been moving ahead vigorously to embrace the next generation communications in 2020. Thereinto, the technique of ultra-dense networks (UDNs) serves as a key enabler in meeting the roaring mobile traffic demands. With the prevalence of mobile Internet services especially those involve the mobile payment, security has gained an unprecedented amount of attention and become a highlighted feature for the fifth generation. Resource allocation, one of the most significant tools on getting over the obstacle of ubiquitous interference as well as elevating the spectrum/energy efficiency, h…

General Computer Scienceinformation securityComputer scienceMobile computingresource allocationMobile Web02 engineering and technologyComputer securitycomputer.software_genreSecurity information and event managementPublic land mobile network0203 mechanical engineeringSecurity association0202 electrical engineering electronic engineering information engineeringMobile paymentGeneral Materials ScienceResource managementCloud computing securityIMT AdvancedGeneral EngineeringPhysical layer020302 automobile design & engineering020206 networking & telecommunicationsInformation securityComputer security modelultra-dense networksSecurity serviceNetwork Access ControlNetwork security policyResource allocationlcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:TK1-9971computer5GEfficient energy useIEEE Access
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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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Energy Efficiency and Sustainability of Different Building Structures in Latvian Climate

2015

Five experimental test buildings have been built in Riga, Latvia. They are identical except external walls for which different mainly regional building materials are used. Calculated U-values of the other walls, floor and ceiling are the same for each test building. Initial moisture influences the relative humidity of indoor air, which can be higher in the initial time period; as a result, heat transmittances are also very different and cause different heating/cooling energy consumption. Overheating risk in summer exists for test buildings with the smallest thermal inertia. Both summer and heating seasons have been analysed and differences between five test houses have been discussed in det…

GeographyMoistureMeteorologySustainabilitylanguageLatvianRelative humidityCooling energyCeiling (cloud)Overheating (electricity)language.human_languageEfficient energy useIOP Conference Series: Materials Science and Engineering
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Cloudiness and Sunshine

1988

Records on mean monthly and annual cloudiness are contained in the climate tables (see Appendix). Despite regional gaps of data sources, the attempt was nevertheless made to work out some principal observations on cloudiness.

GeographyWork (electrical)Cloud coverClimatologySunshine durationSichuan basinAnnual variation
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Chemical abundances determined from meteor spectra: I. Ratios of the main chemical elements

2003

Relative chemical abundances of 13 meteoroids were determined by averaging the composition of the radiating gas along the fireball path that originated during their penetration into the Earth's atmosphere. Mg, Fe, Ni, Cr, Mn, and Co abundances, relative to Si, are similar to those reported for CI and CM carbonaceous chondrites and interplanetary dust particles. In contrast, relative abundances of Ca and Ti in meteor spectra indicate that these elements suffer incomplete evaporation processes. The chemical composition of all meteoroids studied in this work differs from that of 1P/Halley dust.

GeophysicsInterplanetary dust cloudMeteoroidSpace and Planetary ScienceChemistryChondriteAnalytical chemistryChemical compositionSpectral lineAstrobiologyMeteoritics & Planetary Science
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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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