Search results for "swa"

showing 10 items of 430 documents

Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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Tracking the invasion of the red swamp crayfish Procambarus clarkii (Girard, 1852) (Decapoda Cambaridae) in Sicily: a “citizen science” approach

2017

Author(s): Faraone, Francesco Paolo; Giacalone, Gabriele; Canale, Domenica Emanuela; D'Angelo, Stefania; Favaccio, Giorgio; Garozzo, Vincenzo; Giancontieri, Giacoma Lidia; Isgro, Carmelo; Melfi, Raffaella; Morello, Bruno; Navarria, Federica; Russo, Giuseppe; Tinnirello, Viviana; Torre, Antonio; Torre, Daniele; Torre, Giancarlo; Urso, Giuseppe; Vinci, Pierluigi; Zizzo, Maria Grazia; Marrone, Federico | Abstract: The first record of the red swamp crayfish in Sicily dates back to 2003 and, since then, the species seemed to be confined to a few localities in western Sicily. A small “citizen science” project carried out from November 2016 onwards led to the creation of the “Sicilian Procambarus …

0106 biological scienceslcsh:QH1-199.5biological invasionsSettore BIO/05 - Zoologia010607 zoologyProcambarusalien speciesCitizen sciencelcsh:General. Including nature conservation geographical distribution01 natural sciencesSwampInvasive speciesRed swamp crayfishEcology Evolution Behavior and SystematicsProcambarus clarkiiGlobal and Planetary Changegeography.geographical_feature_categoryEcologybiology010604 marine biology & hydrobiologybiology.organism_classificationCrayfishlanguage.human_languageCambaridaeFisheryGeographylanguageStefaniaalien species biological invasions citizen science Procambarus clarkii.SicilianBiogeographia – The Journal of Integrative Biogeography
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Multi-application Based Network-on-Chip Design for Mesh-of-Tree Topology Using Global Mapping and Reconfigurable Architecture

2019

This paper outlines a multi-application mapping for Mesh-of-Tree (MoT) topology based Network-on-Chip (NoC) design using reconfigurable architecture. A two phase Particle Swarm Optimization (PSO) has been proposed for reconfigurable architecture to minimize the communication cost. In first phase global mapping is done by combining multiple applications and in second phase, reconfiguration is achieved by switching the cores to near by routers using multiplexers. Experimentations have been carried out for several application benchmarks and synthetic applications generated using TGFF tool. The results show significant improvement in terms of communication cost after reconfiguration.

020203 distributed computingComputer scienceControl reconfigurationParticle swarm optimizationTopology (electrical circuits)02 engineering and technologyNetwork topologyMultiplexingMultiplexer020202 computer hardware & architectureNetwork on a chipComputer architecture0202 electrical engineering electronic engineering information engineeringArchitecture2019 32nd International Conference on VLSI Design and 2019 18th International Conference on Embedded Systems (VLSID)
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Fault-Tolerant Network-on-Chip Design for Mesh-of-Tree Topology Using Particle Swarm Optimization

2018

As the size of the chip is scaling down the density of Intellectual Property (IP) cores integrated on a chip has been increased rapidly. The communication between these IP cores on a chip is highly challenging. To overcome this issue, Network-on-Chip (NoC) has been proposed to provide an efficient and a scalable communication architecture. In the deep sub-micron level NoCs are prone to faults which can occur in any component of NoC. To build a reliable and robust systems, it is necessary to apply efficient fault-tolerant techniques. In this paper, we present a flexible spare core placement in Mesh-of-Tree (MoT) topology using Particle Swarm Optimization (PSO) by considering IP core failures…

020203 distributed computingComputer scienceDistributed computingParticle swarm optimizationTopology (electrical circuits)Fault toleranceHardware_PERFORMANCEANDRELIABILITY02 engineering and technologyNetwork topologyChip020204 information systemsScalabilityHardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringBenchmark (computing)Overhead (computing)TENCON 2018 - 2018 IEEE Region 10 Conference
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Torus Topology based Fault-Tolerant Network-on-Chip Design with Flexible Spare Core Placement

2018

The increase in the density of the IP cores being fabricated on a chip poses on-chip communication challenges and heat dissipation. To overcome these issues, Network-onChip (NoC) based communication architecture is introduced. In the nanoscale era NoCs are prone to faults which results in performance degradation and un-reliability. Hence efficient fault-tolerant methods are required to make the system reliable in contrast to diverse component failures. This paper presents a flexible spare core placement in torus topology based faulttolerant NoC design. The communications related to the failed core is taken care by selecting the best position for a spare core in the torus network. By conside…

020203 distributed computingComputer scienceParticle swarm optimizationFault toleranceTopology (electrical circuits)Hardware_PERFORMANCEANDRELIABILITY02 engineering and technologyChipTopology020202 computer hardware & architectureReduction (complexity)Network on a chipSpare part0202 electrical engineering electronic engineering information engineeringMetaheuristic
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Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons

2016

The application of Ant Colony Optimization to the field of classification has mostly been limited to hybrid approaches which attempt at boosting the performance of existing classifiers (such as Decision Trees and Support Vector Machines (SVM)) — often through guided feature reductions or parameter optimizations.

0209 industrial biotechnologyBoosting (machine learning)business.industryComputer scienceAnt colony optimization algorithmsDecision treePattern recognition02 engineering and technologyAnt colonycomputer.software_genreSwarm intelligenceSupport vector machineComputingMethodologies_PATTERNRECOGNITION020901 industrial engineering & automationKernel method0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceData miningbusinesscomputer
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Adjusted bat algorithm for tuning of support vector machine parameters

2016

Support vector machines are powerful and often used technique of supervised learning applied to classification. Quality of the constructed classifier can be improved by appropriate selection of the learning parameters. These parameters are often tuned using grid search with relatively large step. This optimization process can be done computationally more efficiently and more precisely using stochastic search metaheuristics. In this paper we propose adjusted bat algorithm for support vector machines parameter optimization and show that compared to the grid search it leads to a better classifier. We tested our approach on standard set of benchmark data sets from UCI machine learning repositor…

0209 industrial biotechnologyWake-sleep algorithmActive learning (machine learning)Computer scienceStability (learning theory)Linear classifier02 engineering and technologySemi-supervised learningcomputer.software_genreCross-validationRelevance vector machineKernel (linear algebra)020901 industrial engineering & automationLeast squares support vector machine0202 electrical engineering electronic engineering information engineeringMetaheuristicBat algorithmStructured support vector machinebusiness.industrySupervised learningOnline machine learningParticle swarm optimizationPattern recognitionPerceptronGeneralization errorSupport vector machineKernel methodComputational learning theoryMargin classifierHyperparameter optimization020201 artificial intelligence & image processingData miningArtificial intelligenceHyper-heuristicbusinesscomputer2016 IEEE Congress on Evolutionary Computation (CEC)
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Pricing Sovereign Contingent Convertible Debt

2016

We develop a pricing model for sovereign contingent convertible bonds (S-CoCo) with payment standstills triggered by a sovereign's credit default swap CDS spread. One innovation is the modeling of CDS spread regime switching which is prevalent during crises. Regime switching is modeled as a hidden Markov process and is integrated with a stochastic process of spread levels to obtain S-CoCo prices through simulation. The paper goes a step further and uses the pricing model in a Longstaff-Schwartz. American option pricing framework to compute state contingent S-CoCo prices at some risk horizon, thus facilitating risk management. Dual trigger pricing is also discussed using the idiosyncratic CD…

021103 operations researchCredit default swapbusiness.industryFinancial economicsmedia_common.quotation_subject05 social sciences0211 other engineering and technologies02 engineering and technologyPaymentStock market indexDebt restructuringValuation of options0502 economics and businessEconomics050207 economicsRational pricingbusinessConvertible bondRisk managementmedia_commonSSRN Electronic Journal
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Pesticide residues in honey bees, pollen and beeswax: Assessing beehive exposure

2018

In order to study the distribution of pesticide residues in beekeeping matrices, samples of live in-hive worker honey bees (Apis mellifera), fresh stored pollen and beeswax were collected during 2016–2017 from 45 apiaries located in different landscape contexts in Spain. A total of 133 samples were screened for 63 pesticides or their degradation products to estimate the pesticide exposure to honey bee health through the calculation of the hazard quotient (HQ). The influence of the surrounding environment on the content of pesticides in pollen was assessed by comparing the concentrations of pesticide residues found in apiaries from intensive farming landscapes to those found in apiaries loca…

0301 basic medicineBeekeepingApiaryHealth Toxicology and Mutagenesis010501 environmental sciencesBiologyToxicology01 natural sciencesBeeswaxHoney beesFluvalinateToxicology03 medical and health scienceschemistry.chemical_compoundPyrethrinsAnimalsBeeswaxPesticides0105 earth and related environmental sciencesBeehivePesticide residuePesticide Residuesfood and beveragesAgricultureGeneral MedicineHoney beePesticideBeesPollutionPesticide030104 developmental biologychemistrySpainHive exposurevisual_artWaxesvisual_art.visual_art_mediumPollenBeekeeping
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Antibacterial potency and fluoride release of a glass ionomer restorative material containing different concentrations of natural and chemical produc…

2018

Background This study investigated the antibacterial efficacy against Streptococcus mutans and fluoride release of a conventional glass ionomer (GI) contained natural and chemical agents. Material and methods Two hundred and ten GI specimens were divided into ten groups (n=21) according to the concentrations of the additives as; Propolis extract containing GI (Groups 1, 2, 3) with concentrations of 0.25%, 0.75% and 1.25% respectively, Miswak extract containing GI (Groups 4, 5, 6) and Chlorhexidine containing GI (Groups 7, 8, 9) with the same concentrations. The prepared specimens were subjected to antimicrobial activity by well diffusion, bacterial adherence, and fluoride release (from 2 to…

0301 basic medicineMiswakChlorhexidineGlass ionomer cement030206 dentistryPropolisAntimicrobial:CIENCIAS MÉDICAS [UNESCO]03 medical and health scienceschemistry.chemical_compound030104 developmental biology0302 clinical medicinechemistryUNESCO::CIENCIAS MÉDICASmedicinePotencyFood scienceAntibacterial activityGeneral DentistryFluoridemedicine.drug
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