Search results for "97"

showing 10 items of 1081 documents

A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks

2019

International audience; In a resource-constrained Wireless Sensor Networks (WSNs), the optimization of the sampling and the transmission rates of each individual node is a crucial issue. A high volume of redundant data transmitted through the network will result in collisions, data loss, and energy dissipation. This paper proposes a novel data reduction scheme, that exploits the spatial-temporal correlation among sensor data in order to determine the optimal sampling strategy for the deployed sensor nodes. This strategy reduces the overall sampling/transmission rates while preserving the quality of the data. Moreover, a back-end reconstruction algorithm is deployed on the workstation (Sink)…

Signal Processing (eess.SP)FOS: Computer and information sciencesAdaptive samplingGeneral Computer ScienceComputer sciencespatial-temporal correlationReal-time computing02 engineering and technologyData loss[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]data reconstructionQA76Computer Science - Networking and Internet Architecture[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]FOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceElectrical Engineering and Systems Science - Signal ProcessingNetworking and Internet Architecture (cs.NI)General EngineeringSampling (statistics)020206 networking & telecommunicationsReconstruction algorithmDissipation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationWireless sensor networks[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]data reduction020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]lcsh:Electrical engineering. Electronics. Nuclear engineering[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]lcsh:TK1-9971Wireless sensor networkData reduction
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British society in gothic rock : Siouxsie and the Banshees 1978-79

2014

Tutkielman tarkoituksena on tarkastella, kuinka 1970-luvun brittiläistä yhteiskuntaa käsitellään Siouxsie and the Banshees -yhtyeen sanoituksissa. Siouxsie and the Banshees perustettiin 1970-luvun lopulla punk-musiikin jälkimainingeissa ja sitä pidetään yhtenä ensimmäisistä goottirock-yhtyeistä. Tutkimuksessa tarkastellaan sitä, jatkuuko punk-alakulttuurille ominainen yhteiskuntakritiikki Bansheesin sanoituksissa vai vastaako yhtyeen musiikki nykykäsitystä, jonka mukaan goottirock on enimmäkseen epäpoliittista. Tutkielman teoreettisena viitekehyksenä käytettiin kriittisen diskurssianalyysin (CDA) taustaoletuksia. Kriittinen diskurssianalyysi mahdollistaa useiden eri lähetysmistapojen yhdist…

Siouxsie and the Banshees (yhtye)punk rockmusiikkigoottirock1970-lukuDiskurssianalyysipunksanoituksetIso-Britannia
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Establishing soil loss tolerance: an overview

2016

Soil loss tolerance is a criterion for establishing if a soil is potentially subjected to erosion risk, productivity loss and if a river presents downstream over-sedimentation or other off-site effects are present at basin scale. At first this paper reviews the concept of tolerable soil loss and summarises the available definitions and the knowledge on the recommended values and evaluating criteria. Then a threshold soil loss value, at the annual temporal scale, established for limiting riling was used for defining the classical soil loss tolerance. Finally, some research needs on tolerable soil loss are listed.

Soil erosion soil loss soil loss tolerance Universal Soil Loss Equation0208 environmental biotechnologyUniversal soil loss equationBioengineeringSoil science02 engineering and technologyAgricultural engineeringcomplex mixturesIndustrial and Manufacturing Engineeringlcsh:Agriculturesoil loss toleranceSoil lossSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalilcsh:Agriculture (General)Basin scaleSoil loSoil loss toleranceMechanical EngineeringScale (chemistry)lcsh:S04 agricultural and veterinary sciencesLimitingResearch needslcsh:S1-972020801 environmental engineeringuniversal soil loss equation.Universal Soil Loss EquationSoil erosion040103 agronomy & agricultureErosionsoil loss0401 agriculture forestry and fisheriesEnvironmental scienceJournal of Agricultural Engineering
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A prospective new diagnostic technique for distinguishing eruptive and noneruptive active regions

2019

This research has received funding from the Science and Technology Facilities Council (UK) through the consolidated grant ST/N000609/1 and the European Research Council (ERC) under the European Union Horizon 2020 research and innovation program (grant agreement No. 647214). This work used the DiRAC@Durham facility managed by the Institute for Computational Cosmology on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/P002293/1, ST/R002371/1, and ST/S002502/1, Durham University and STFC operations grant ST/R000832/1. DiRAC is part of the National e-Infrastructure. S.L.Y. would like to acknowledge STFC for sup…

Solar coronal mass ejections (310)010504 meteorology & atmospheric sciencesSpace weatherSolar magnetic fieldsSolar activityT-NDASLibrary scienceFOS: Physical sciencesSpace weather (2037)Solar coronaSolar activity (1475)Solar flares (1496)01 natural sciencesSolar coronal mass ejectionsSolar corona (1483)0103 physical sciencesmedia_common.cataloged_instanceAstrophysics::Solar and Stellar AstrophysicsQB AstronomyEuropean union010303 astronomy & astrophysicsQCSolar and Stellar Astrophysics (astro-ph.SR)0105 earth and related environmental sciencesmedia_commonQBPhysicsEuropean researchSolar active region magnetic fieldsAstronomy and AstrophysicsSolar active region magnetic fields (1975)Solar magnetic fields (1503)Solar active regionsSolar active regions (1974)QC PhysicsAstrophysics - Solar and Stellar Astrophysics13. Climate actionSolar flaresSpace and Planetary SciencePhysics::Space Physics
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Polymer-Functionalised Nanograins of Mg-Doped Amorphous Calcium Carbonate via a Flow-Chemistry Approach

2019

Calcareous biominerals typically feature a hybrid nanogranular structure consisting of calcium carbonate nanograins coated with organic matrices. This nanogranular organisation has a beneficial effect on the functionality of these bioceramics. In this feasibility study, we successfully employed a flow-chemistry approach to precipitate Mg-doped amorphous calcium carbonate particles functionalized by negatively charged polyelectrolytes&mdash

SorbentMaterials sciencemicrofluidicschemistry.chemical_element02 engineering and technologyCalcium010402 general chemistrylcsh:Technology01 natural sciencesArticlePolystyrene sulfonatechemistry.chemical_compoundGeneral Materials Sciencelcsh:Microscopynanoceramicslcsh:QC120-168.85chemistry.chemical_classificationlcsh:QH201-278.5Dopantlcsh:TPolymer021001 nanoscience & nanotechnologyAmorphous calcium carbonate0104 chemical sciencesCalcium carbonatechemistryChemical engineeringlcsh:TA1-2040flow-chemistryamorphous calcium carbonatelcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringddc:620lcsh:Engineering (General). Civil engineering (General)0210 nano-technologylcsh:TK1-9971CalcareousDepartment WerkstoffwissenschaftenbiomaterialsMaterials
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CCDC 705737: Experimental Crystal Structure Determination

2009

Related Article: D.Meshcheryakov, V.Bohmer, M.Bolte, V.Hubscher-Bruder, F.Arnaud-Neu|2009|Chem.-Eur.J.|15|4811|doi:10.1002/chem.200802573

Space GroupCrystallography97979898-Tetramethyl-3435191-tetra-t-butyl-153147637995-hexaoxa-6822243840545670728688-dodeca-azapentadecacyclo[91.3.1.1^4549^.0^596^.0^914^.0^1621^.0^2530^.0^3237^.0^4146^.0^4853^.0^5762^.0^6469^.0^7378^.0^8085^.0^8994^]octanonaconta-1(96)2491113161820252729323436414345485052575961646668737577808284899193-hexatriacontaene-72339557187-hexone ethanol ethyl acetate solvateCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 265476: Experimental Crystal Structure Determination

2005

Related Article: Yudong Cao, Leyong Wang, M.Bolte, M.O.Vysotsky, V.Bohmer|2005|Chem.Commun.||3132|doi:10.1039/b505223h

Space GroupCrystallographyCrystal System6177101105-Tetramethoxy-415213238498697-octaoxa-55578183102104106108-octaazatridecacyclo(50.33.12.31872.33566.1384.11620.1333715054.15862.16078.16468.17074.17680) dodecahecta-13(98)16(112)171933(111)343650(110)515358(109)596164 (105)656770(101)717376(99)777984-tetracosaene-5682103107-tetraone methanol solvate sesquihydrateCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 705736: Experimental Crystal Structure Determination

2009

Related Article: D.Meshcheryakov, V.Bohmer, M.Bolte, V.Hubscher-Bruder, F.Arnaud-Neu|2009|Chem.-Eur.J.|15|4811|doi:10.1002/chem.200802573

Space GroupCrystallographyCrystal SystemCrystal StructureCell Parameters97979898-Tetramethyl-3435191-tetra-t-butyl-153147637995-hexaoxa-6822243840545670728688-dodeca-azapentadecacyclo[91.3.1.1^4549^.0^596^.0^914^.0^1621^.0^2530^.0^3237^.0^4146^.0^4853^.0^5762^.0^6469^.0^7378^.0^8085^.0^8994^]octanonaconta-1(96)2491113161820252729323436414345485052575961646668737577808284899193-hexatriacontaene-72339557187-hexone acetone solvateExperimental 3D Coordinates
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Wardowski conditions to the coincidence problem

2015

In this article we first discuss the existence and uniqueness of a solution for the coincidence problem: Find p ∈ X such that Tp = Sp, where X is a nonempty set, Y is a complete metric space, and T, S:X → Y are two mappings satisfying a Wardowski type condition of contractivity. Later on, we will state the convergence of the Picard-Juncgk iteration process to the above coincidence problem as well as a rate of convergence for this iteration scheme. Finally, we shall apply our results to study the existence and uniqueness of a solution as well as the convergence of the Picard-Juncgk iteration process toward the solution of a second order differential equation. Ministerio de Economía y Competi…

Statistics and ProbabilityIterative methodsIterative methodCoincidence pointsComplete metric space54H25common fixed pointsConvergence (routing)Applied mathematicsUniquenessMathematicsApplied Mathematics and Statistics47J25lcsh:T57-57.97Applied MathematicsMathematical analysisOrder (ring theory)State (functional analysis)Rate of convergencecoincidence pointsRate of convergenceordinary differential equationsOrdinary differential equationlcsh:Applied mathematics. Quantitative methodsCommon fixed pointsiterative methodslcsh:Probabilities. Mathematical statisticslcsh:QA273-280rate of convergenceFrontiers in Applied Mathematics and Statistics
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Random time-changes and asymptotic results for a class of continuous-time Markov chains on integers with alternating rates

2021

We consider continuous-time Markov chains on integers which allow transitions to adjacent states only, with alternating rates. We give explicit formulas for probability generating functions, and also for means, variances and state probabilities of the random variables of the process. Moreover we study independent random time-changes with the inverse of the stable subordinator, the stable subordinator and the tempered stable subodinator. We also present some asymptotic results in the fashion of large deviations. These results give some generalizations of those presented in Di Crescenzo A., Macci C., Martinucci B. (2014).

Statistics and ProbabilityPure mathematicsSubordinatormoderate deviationsInversefractional processfractional process; large deviations; moderate deviations; tempered stable subordinatorlarge deviationsChain (algebraic topology)FOS: MathematicsProbability-generating function60F10 60J27 60G22 60G52MathematicsMarkov chainlcsh:T57-57.97lcsh:MathematicsProbability (math.PR)State (functional analysis)tempered stable subordinatorlcsh:QA1-939Modeling and SimulationSettore MAT/06lcsh:Applied mathematics. Quantitative methodsLarge deviations theoryStatistics Probability and UncertaintyRandom variableMathematics - Probability
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