Search results for " parameter"

showing 10 items of 13688 documents

Growth parameters and population structure of Aristeus antennatus (Decapoda, Penaeidae) in the south Tyrrhenian Sea (southern coast of Italy).

2011

Abstract The blue and red shrimp Aristeus antennatus (Risso, 1816) is one of the most important fishery resources in the Mediterranean Sea. Monthly samplings of blue and red shrimp from June 2006 to May 2007 were landed by the trawl fleet in two northwest Sicilian fishing harbours (San Vito Lo Capo and Terrasini). The carapace length (CL) frequency distribution of females ranged between 15.00 and 59.00 mm, whereas male CLs ranged between 17.00 and 34.00 mm. The estimated parameters of the Von Bertalanffy growth function (VBGF) for San Vito lo Capo females and males were: CL∞ = 65 mm, K = 0.58 y–1 and CL∞ = 41 mm, K = 0.71 y–1, respectively; while for Terrasini females and males these were:…

0106 biological sciencesPenaeidaebiologyDecapoda010604 marine biology & hydrobiologyFishingSettore BIO/05 - ZoologiaAquatic Sciencebiology.organism_classification010603 evolutionary biology01 natural sciencesMediterranean BasinShrimpFisheryCarcinologyMediterranean seaPOPULATION STRUCTURE ARISTEUS ANTENNATUSAnimal Science and ZoologySOUTH TYRRHENIAN SEA.14. Life underwaterCarapaceGROWTH PARAMETERSGROWTH PARAMETERS; POPULATION STRUCTURE ARISTEUS ANTENNATUS; SOUTH TYRRHENIAN SEA.
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Seed Bank in Annuals: Competition Between Banker and Non-banker Morphs

2002

Seed bank is a plant life history strategy against the unpredictability of the biotic and the abiotic environment. We simulated competition between a seed banking and a non-banking morph of an annual plant. A constant fraction of the banker morph seeds was allocated to the seed bank, where they had a constant mortality and germination rate. All surviving seeds of the non-banker morph germinated in the next generation. The seedlings of both morphs experienced similar density-dependent mortality. Whether one of the morphs wins or the morphs coexist was evaluated from parameter space plots and statistically with logistic regression analysis. All parameters of the model had a significant, nonli…

0106 biological sciencesStatistics and Probabilitygenetic structuresmedia_common.quotation_subjectComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONGerminationModel parametersBiologyModels Biological010603 evolutionary biology01 natural sciencesGeneralLiterature_MISCELLANEOUSGeneral Biochemistry Genetics and Molecular BiologyPlant lifeCompetition (biology)BotanyEcosystemBiological sciencesEcosystemreproductive and urinary physiologyComputingMethodologies_COMPUTERGRAPHICSmedia_commonAbiotic componentGeneral Immunology and MicrobiologyReproductionApplied MathematicsfungiGeneral Medicine15. Life on landhumanitiesLogistic ModelsAgronomyGerminationModeling and SimulationSeedsAnnual plantGeneral Agricultural and Biological Sciencespsychological phenomena and processes010606 plant biology & botanyJournal of Theoretical Biology
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Characterization of Fusarium oxysporum populations by growth parameter evaluation in microtiter plates

1997

Trophic competition for the C source is the main mechanism involved in the interaction between pathogenic and non-pathogenic populations of Fusarium oxysporum. Therefore, a phenotypical characterization based on the growth characteristics of these populations will provide classical genotypical characterizations with additionnal information of ecological significance.

0106 biological sciences[SDE] Environmental Sciences0303 health sciencesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]food and beveragesBiologybiology.organism_classification01 natural sciencesCompetition (biology)[SDV] Life Sciences [q-bio]03 medical and health sciencesGrowth parameterFusarium oxysporumEcological significanceBotany[SDE]Environmental SciencesComputingMilieux_MISCELLANEOUSECOLOGIE030304 developmental biology010606 plant biology & botanyTrophic levelmedia_common
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Fruit size in relation to competition for resources: A common model shared by two species and several genotypes grown under contrasted carbohydrate l…

2012

International audience; Fruit size is one important criterion of fruit external quality affecting consumer acceptance. The effects of seed number on fruit size in two fleshy fruits, grape and tomato, of different genotypes and grown under distinct carbohydrate availability levels were analyzed with a model. The two-parameter model described within-fruit resource competition and was able to well represent the commonly observed decrease in fresh weight per seed along with the increase in number of seeds, regardless of species, genotypes, and carbohydrate levels that were evaluated in this study. However, carbohydrate levels largely modified the correlation between seed number and fresh weight…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesCompetition levelmodel selectionmedia_common.quotation_subjectModel parametersQuantitative trait locusBiologytomatofruit load01 natural sciencessizeCompetition (biology)03 medical and health sciencesquantitative trait locusGenotype[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyVitis[SDV.BV] Life Sciences [q-bio]/Vegetal BiologyDomestication030304 developmental biologymedia_common2. Zero hungerresource competition0303 health sciences[SDV.SA] Life Sciences [q-bio]/Agricultural sciencesfungiFresh weightfood and beveragesCarbohydrateHorticultureAgronomyseed010606 plant biology & botany
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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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Adaptive Backstepping Control of a 2-DOF Helicopter

2019

This paper proposes an adaptive nonlinear controller for a 2-Degree of Freedom (DOF) helicopter. The proposed controller is designed using backstepping control technique and is used to track the pitch and yaw position references independently. A MIMO nonlinear mathematical model is derived for the 2DOF helicopter based on Euler-Lagrange equations, where the system parameters and the control coefficients are uncertain. Unlike some existing control schemes for the helicopter control, the developed controller does not require the knowledge on the system uncertain parameters. Updating laws are used to estimate the unknown parameters. It is shown that not only the global stability is guaranteed …

0209 industrial biotechnologyAdaptive controlComputer science020208 electrical & electronic engineeringMIMO02 engineering and technologyComputer Science::RoboticsNonlinear system020901 industrial engineering & automationComputer Science::Systems and ControlControl theoryRobustness (computer science)BacksteppingSystem parametersVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringPosition control
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Prediction of Vehicle Crashworthiness Parameters Using Piecewise Lumped Parameters and Finite Element Models

2018

Estimating the vehicle crashworthiness parameters experimentally is expensive and time consuming. For these reasons different modelling approaches are utilized to predict the vehicle behaviour and reduce the need for full-scale crash testing. The earlier numerical methods used for vehicle crashworthiness analysis were based on the use of lumped parameters models (LPM), a combination of masses and nonlinear springs interconnected in various configurations. Nowadays, the explicit nonlinear finite element analysis (FEA) is probably the most widely recognized modelling technique. Although informative, finite element models (FEM) of vehicle crash are expensive both in terms of man-hours put into…

0209 industrial biotechnologyComputer science02 engineering and technologyfinite element analysislcsh:TechnologyIndustrial and Manufacturing EngineeringAcceleration020901 industrial engineering & automation0203 mechanical engineeringlcsh:TA174Range (statistics)acceleration severity indexEngineering (miscellaneous)automotive_engineeringMathematicsbusiness.industrylcsh:TMechanical EngineeringNumerical analysisStructural engineeringlcsh:Engineering designCrash testFinite element methodNonlinear system020303 mechanical engineering & transportsPiecewiseCrashworthinesspiecewise lumped parametersdynamic crushbusinessDesigns
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Fractional-Order System Identification of Viscoelastic Behavior: A Frequency Domain Based Experimental Study

2020

In this work, the fractional-order modeling of viscoelastic behavior is investigated based on measurement data in the frequency domain. For the results of two different test setups we apply existing parameter estimation algorithms designed for fractional-order transfer functions. These algorithms require a priori knowledge of the system structure including the commensurate order of differentiation. An iterative procedure is used to evaluate the influence of the unknown structure. The measured polymer samples show a viscoelastic stress response. We can show that integer-order models are not capable of capturing this behavior. For a set of predefined structures, the best obtained fractional-o…

0209 industrial biotechnologyComputer scienceFractional-order system02 engineering and technologyVariation of parametersTransfer functionViscoelasticitySet (abstract data type)Identification (information)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFrequency domainA priori and a posterioriAlgorithm2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)
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On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion

2020

We present a heuristic procedure for determining key processing parameters (PPs) in materials-extrusion-based additive manufacturing processes. The concept relies on a design-of-experiment approach and consists of eleven &ldquo

0209 industrial biotechnologyFDMPolymers and PlasticsComputer sciencemedia_common.quotation_subjectdesign of experiment3D printingmaterials extrusion02 engineering and technologyRaw materialArticlelcsh:QD241-441020901 industrial engineering & automationlcsh:Organic chemistryCalibration:NATURAL SCIENCES:Physics [Research Subject Categories]Quality (business)Layer (object-oriented design)Process engineeringmedia_commonbusiness.industryDesign of experimentsprocess parametersGeneral Chemistry3D printing021001 nanoscience & nanotechnologyKey (cryptography)Extrusion0210 nano-technologybusinessoptimizationPolymers
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Optimization of Vehicle-to-Vehicle Frontal Crash Model Based on Measured Data Using Genetic Algorithm

2017

In this paper, a mathematical model for vehicle-to-vehicle frontal crash is developed. The experimental data are taken from the National Highway Traffic Safety Administration. To model the crash scenario, the two vehicles are represented by two masses moving in opposite directions. The front structures of the vehicles are modeled by Kelvin elements, consisting of springs and dampers in parallel, and estimated as piecewise linear functions of displacements and velocities, respectively. To estimate and optimize the model parameters, a genetic algorithm approach is proposed. Finally, it is observed that the developed model can accurately reproduce the real kinematic results from the crash test…

0209 industrial biotechnologyGeneral Computer ScienceComputer scienceCrash02 engineering and technologyVehicle-to-vehicleDamperComputer Science::RoboticsEngineering (all)020901 industrial engineering & automation0203 mechanical engineeringControl theoryparameters estimationGenetic algorithmgenetic algorithmGeneral Materials ScienceSimulationvehicle-to-vehicle crashComputer Science (all)ModelingGeneral EngineeringCrash test020303 mechanical engineering & transportsMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringgenetic algorithm; Modeling; parameters estimation; vehicle-to-vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)lcsh:TK1-9971IEEE Access
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