Search results for "OIT"

showing 10 items of 9012 documents

Un roman anticolonialiste : "Bamba", le petit diable noir de Pierre Semard

2002

"Bamba"[SHS.DROIT]Humanities and Social Sciences/Law[SHS.DROIT] Humanities and Social Sciences/Lawanticolonialistepetit diable noirBamba[ SHS.DROIT ] Humanities and Social Sciences/Law
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Le règlement des différends de l'OMC et la protection des valeurs non marchandes

2006

International audience

"médicaments"[SHS.DROIT] Humanities and Social Sciences/Law"OMC""valeurs non marchandes""santé"[ SHS.DROIT ] Humanities and Social Sciences/Lawmédicaments[SHS.DROIT]Humanities and Social Sciences/Lawvaleurs non marchandesprotection de l'environnement"protection de l'environnement".OMCsantéComputingMilieux_MISCELLANEOUS
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Enabling partially reconfigurable IP cores parameterisation and integration using MARTE and IP-XACT

2012

International audience; This paper presents a framework which facilitates the parameterization and integration of IP cores into partially reconfigurable SoC platforms, departing from a high-level of abstraction. The approach is based in a Model-Driven Engineering (MDE) methodology, which exploits two widely used standards for Systems-on-Chip specification, MARTE and IP-XACT. The presented work deals with the deployment level of the MDE approach, in which the abstract components of the platform are first linked to the lower level IP-XACT counterparts. At this phase, information for parameterization and integration is readily available, and a synthesizable model can be obtained from the gener…

010302 applied physicsEngineeringExploitbusiness.industryEmphasis (telecommunications)02 engineering and technology01 natural sciences020202 computer hardware & architecture[INFO.INFO-ES] Computer Science [cs]/Embedded SystemsSoftware deploymentEmbedded systemIP-XACT0103 physical sciences0202 electrical engineering electronic engineering information engineeringSystem on a chip[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsbusinessField-programmable gate arrayAbstraction (linguistics)
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Quantifying and easing conflicting goals between interest groups in natural resource planning

2019

Management of natural resources at the regional level is a compromise between a variety of objectives and interests. At the local level, management of the forests depends upon the ownership structure, with forest owners using their forests as they see fit. A potential conflict occurs if the forest owners’ management decisions are counter to the interests of society in general or the industry that relies on the forest resource as their raw material. We explore the intensity of this conflict at the regional level in several large boreal forest production landscapes. To explore the conflict, we investigate three main interest groups: (i) economically oriented forest owners; (ii) industry grou…

010504 meteorology & atmospheric sciencesCompromisemedia_common.quotation_subjecttehokkuusconflict management010501 environmental sciences01 natural sciencesmultifunctionalityoptimointiboreal forestEnvironmental planningFinlandbiodiversity0105 earth and related environmental sciencesmedia_commonGlobal and Planetary ChangeEcologyforest planningforestryForestrykonfliktit15. Life on landluonnon monimuotoisuusmetsätNatural resourcebiodiversiteettiVariety (cybernetics)boreaalinen vyöhykeekosysteemipalvelutefficiencyBusinessmetsänhoitoecosystem servicesoptimizationCanadian Journal of Forest Research
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Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks

2020

Interest in drone solutions in forestry applications is growing. Using drones, datasets can be captured flexibly and at high spatial and temporal resolutions when needed. In forestry applications, fundamental tasks include the detection of individual trees, tree species classification, biomass estimation, etc. Deep neural networks (DNN) have shown superior results when comparing with conventional machine learning methods such as multi-layer perceptron (MLP) in cases of huge input data. The objective of this research is to investigate 3D convolutional neural networks (3D-CNN) to classify three major tree species in a boreal forest: pine, spruce, and birch. The proposed 3D-CNN models were emp…

010504 meteorology & atmospheric sciencesComputer sciencehyperspectral image classificationScience0211 other engineering and technologiesgeoinformatics02 engineering and technologyneuroverkot01 natural sciencesConvolutional neural networkpuulajitPARAMETERSSet (abstract data type)LIDARFORESTSClassifier (linguistics)021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryDeep learningspektrikuvausQHyperspectral imagingdeep learningPattern recognition15. Life on landmiehittämättömät ilma-aluksetPerceptron113 Computer and information sciencesClass (biology)drone imagery3d convolutional neural networksmetsänarviointiMACHINEkoneoppiminentree species classification3D convolutional neural networksGeneral Earth and Planetary SciencesRGB color modelArtificial intelligencekaukokartoitusbusinesshyperspectral image classificationRemote Sensing
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Essential features of the polytypic charoite-96 structure compared to charoite-90

2011

AbstractCharoite, ideally (K,Sr,Ba,Mn)15–16(Ca,Na)32[(Si70(O,OH)180)](OH,F)4·nH20, is a rock-forming mineral from the Murun massif in Yakutia, Sakha Republic, Siberia, Russia, where it occurs in a unique alkaline intrusion. Charoite occurs as four different polytypes, which are commonly intergrown in nanocrystallme fibres. We report the structure of charoite-96(a =32.11(6),b =19.77(4),c =7.23(1) Å, β = 95.85(9)°,V =4565(24) Å3, space groupP21/m),which was solvedab initioby direct methods on the basis of 2676 unique electron diffraction reflections collected by automated diffraction tomography and refined toR1/wR2=0.34/0.37. The structure of charoite-96 is related to that of the charoite-90,…

010504 meteorology & atmospheric sciencesElectron crystallographyAb initiocrystal structure analysisengineering.material010502 geochemistry & geophysicscharoite polytypes01 natural sciencesSilicateNanocrystalline materialchemistry.chemical_compoundCrystallographyelectron crystallographychemistryOctahedronElectron diffractionGeochemistry and PetrologyGroup (periodic table)Charoitecharoite polytypes; crystal structure analysis; electron crystallography; electron diffraction; electron diffraction tomographyengineeringelectron diffractionelectron diffraction tomography0105 earth and related environmental sciences
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THEMIS: A Parameter Estimation Framework for the Event Horizon Telescope

2020

This is an open access article.-- Full list of authors: Broderick, Avery E.; Gold, Roman; Karami, Mansour; Preciado-López, Jorge A.; Tiede, Paul; Pu, Hung-Yi; Akiyama, Kazunori; Alberdi, Antxon; Alef, Walter; Asada, Keiichi; Azulay, Rebecca; Baczko, Anne-Kathrin; Baloković, Mislav; Barrett, John; Bintley, Dan; Blackburn, Lindy; Boland, Wilfred; Bouman, Katherine L.; Bower, Geoffrey C.; Bremer, Michael; Brinkerink, Christiaan D.; Brissenden, Roger; Britzen, Silke; Broguiere, Dominique; Bronzwaer, Thomas; Byun, Do-Young; Carlstrom, John E.; Chael, Andrew; Chatterjee, Shami; Chatterjee, Koushik; Chen, Ming-Tang; Chen, Yongjun; Cho, Ilje; Conway, John E.; Cordes, James M.; Crew, Geoffrey B.; Cu…

010504 meteorology & atmospheric sciencesExploitAstronomy01 natural sciencesData typeSet (abstract data type)Galactic center0103 physical sciencesVery-long-baseline interferometry16471769010303 astronomy & astrophysics0105 earth and related environmental sciencesVery long baseline interferometryPhysicsEvent Horizon TelescopeSupermassive black holeAstrophysical black holesGalactic CenterAstronomy and Astrophysics98565Black hole[SDU]Sciences of the Universe [physics]Space and Planetary ScienceAstronomy data analysis1858[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]AlgorithmSubmillimeter astronomy
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Transferring deep learning models for cloud detection between Landsat-8 and Proba-V

2020

Abstract Accurate cloud detection algorithms are mandatory to analyze the large streams of data coming from the different optical Earth observation satellites. Deep learning (DL) based cloud detection schemes provide very accurate cloud detection models. However, training these models for a given sensor requires large datasets of manually labeled samples, which are very costly or even impossible to create when the satellite has not been launched yet. In this work, we present an approach that exploits manually labeled datasets from one satellite to train deep learning models for cloud detection that can be applied (or transferred) to other satellites. We take into account the physical proper…

010504 meteorology & atmospheric sciencesExploitComputer sciencebusiness.industryDeep learning0211 other engineering and technologiesCloud detectionCloud computing02 engineering and technologyEarth observation satellitecomputer.software_genre01 natural sciencesConvolutional neural networkAtomic and Molecular Physics and OpticsComputer Science ApplicationsSatelliteData miningArtificial intelligenceComputers in Earth SciencesbusinessTransfer of learningEngineering (miscellaneous)computer021101 geological & geomatics engineering0105 earth and related environmental sciencesISPRS Journal of Photogrammetry and Remote Sensing
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Social vulnerability to climate policies: Building a matrix to assess policy impacts on well-being

2021

In this article, we address the social vulnerability of people to climate mitigation policies and contribute to assessing the social impacts of climate policies by introducing a matrix tool for conducting vulnerability assessments and participatory climate policy planning. The matrix serves as a methodological tool for identifying social groups in their social spaces. First, we lay the foundation for the matrix by linking social vulnerability to equality and justice, demonstrating the importance of addressing social vulnerability in climate policy design and research. Next, we introduce the ways in which social vulnerability has been addressed in the integration of social and climate policy…

010504 meteorology & atmospheric sciencesvulnerabilityhyvinvointiGeography Planning and DevelopmentVulnerabilityContext (language use)010501 environmental sciencesManagement Monitoring Policy and Law01 natural sciencesEconomic JusticeSocial groupilmastopolitiikkawell-beingVulnerability assessmentPolitical scienceparticipationEnvironmental planninghaavoittuvuusosallistuminen0105 earth and related environmental sciencesevaluationCorporate governancesocial equalityWelfare stateoikeudenmukaisuussosiaalinen oikeudenmukaisuusjusticeeriarvoisuusarviointiSocial vulnerabilitysosiaaliset vaikutuksetEnvironmental Science & Policy
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Priedaine: A Neolithic Site at the Head of the Gulf of Riga

2016

The Neolithic site of Priedaine in Jūrmala was excavated on a small scale in 2007–2008, yielding an assemblage of Comb Ceramics, along with unique wooden implements and fragments of pine-lath fishing structures. The environment and subsistence resources are indicated by plant macrofossil remains and a small faunal collection. Located by a palaeolake and also very close to the sea, the site, dated to c. 3700–3500 cal BC, would have been oriented towards aquatic resource exploitation. However, it had a wider range of functions, as indicated by the evidence of flint and amber processing. Key words: Neolithic, pottery, fishing gear, plant macro-remains, faunal remains, lake, coastal settlement.…

010506 paleontologyArcheology060102 archaeologyRange (biology)FishingMacrofossilSubsistence agriculture06 humanities and the arts01 natural sciencesArchaeologyHead (geology)GeographyAssemblage (archaeology)0601 history and archaeologyPotteryExploitation of natural resources0105 earth and related environmental sciencesArchaeologia Baltica
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