Search results for "equations"

showing 10 items of 955 documents

How much is enough? : The convergence of finite sample scattering properties to those of infinite media

2021

We study the scattering properties of a cloud of particles. The particles are spherical, close to the incident wavelength in size, have a high albedo, and are randomly packed to 20% volume density. We show, using both numerically exact methods for solving the Maxwell equations and radiative-transfer-approximation methods, that the scattering properties of the cloud converge after about ten million particles in the system. After that, the backward-scattered properties of the system should estimate the properties of a macroscopic, practically infinite system. (C) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.o…

010504 meteorology & atmospheric scienceseducationparticulate random mediapienhiukkasetoptiset ominaisuudet01 natural sciences114 Physical sciencesVolume densityScatteringsymbols.namesakelaskennallinen tiedeConvergence (routing)Radiative transferRadiative transferMaxwellin yhtälötsirontaSpectroscopy0105 earth and related environmental sciencesPhysicsRadiationScatteringscatteringAlbedoSample (graphics)Atomic and Molecular Physics and OpticsComputational physicsWavelengthMaxwell's equationsMaxwell equationsradiative transferParticulate random mediasymbolsapproksimointi
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Stochastic models for phytoplankton dynamics in Mediterranean Sea

2016

Abstract In this paper, we review some results obtained from three one-dimensional stochastic models, which were used to analyze picophytoplankton dynamics in two sites of the Mediterranean Sea. Firstly, we present a stochastic advection–reaction–diffusion model to describe the vertical spatial distribution of picoeukaryotes in a site of the Sicily Channel. The second model, which is an extended version of the first one, is used to obtain the vertical stationary profiles of two groups of picophytoplankton, i.e. Pelagophytes and Prochlorococcus, in the same marine site as in the previous case. Here, we include intraspecific competition of picophytoplanktonic groups for limiting factors, i.e.…

0106 biological sciences010504 meteorology & atmospheric sciencesStochastic modellingRandom processeAtmospheric sciences01 natural sciencesDeep chlorophyll maximum; Marine ecosystems; Phytoplankton dynamics; Random processes; Spatial ecology; Stochastic differential equations; Ecology Evolution Behavior and Systematics; Ecological ModelingStochastic differential equationMediterranean seaMarine ecosystemSpatial ecology14. Life underwaterPhytoplankton dynamicEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesDeep chlorophyll maximumStochastic differential equationbiologyStochastic processEcology010604 marine biology & hydrobiologyEcological Modelingbiology.organism_classificationEcology Evolution Behavior and SystematicSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Light intensitySpatial ecologyDeep chlorophyll maximumProchlorococcusEcological Complexity
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Dynamic Modeling of Planar Multi-Link Flexible Manipulators

2021

A closed-form dynamic model of the planar multi-link flexible manipulator is presented. The assumed modes method is used with the Lagrangian formulation to obtain the dynamic equations of motion. Explicit equations of motion are derived for a three-link case assuming two modes of vibration for each link. The eigenvalue problem associated with the mass boundary conditions, which changes with the robot configuration and payload, is discussed. The time-domain simulation results and frequency-domain analysis of the dynamic model are presented to show the validity of the theoretical derivation.

0209 industrial biotechnologyControl and OptimizationComputer science02 engineering and technology020901 industrial engineering & automationPlanarArtificial IntelligenceNormal modeControl theoryVDP::Teknologi: 500::Maskinfag: 570TJ1-15700202 electrical engineering electronic engineering information engineeringMechanical engineering and machineryBoundary value problemEigenvalues and eigenvectorsroboticsOscillationmodesMechanical Engineering020208 electrical & electronic engineeringPayload (computing)Equations of motionmodelingoscillationVibrationflexibilityvibrationRobotics
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Sliding solutions of second-order differential equations with discontinuous right-hand side

2017

We consider second-order ordinary differential equations with discontinuous right-hand side. We analyze the concept of solution of this kind of equations and determine analytical conditions that are satisfied by typical solutions. Moreover, the existence and uniqueness of solutions and sliding solutions are studied. Copyright © 2017 John Wiley & Sons, Ltd.

0209 industrial biotechnologyDifferential equationGeneral MathematicsGeneral Engineering02 engineering and technology01 natural sciences010305 fluids & plasmasSecond order differential equations020901 industrial engineering & automationLinear differential equationOrdinary differential equation0103 physical sciencesCalculusApplied mathematicsUniquenessMathematicsMathematical Methods in the Applied Sciences
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Direct analysis of power-split CVTs: A unified method

2018

Abstract This paper provides a fast kinematic analysis method for compound power-split CVTs, which consents to identify their functional parameters. Such parameters permit the assessment of power flows, torques and efficiency, and the design of equivalent transmissions by the use of a recently published mathematical model. The same method can easily address either simpler or more complex transmissions by mean of kinematic equivalent parameters, without the need to arrange separate systems of equations. As a case study, we performed the kinematic analysis of the “Voltec” multi-mode GM transmission.

0209 industrial biotechnologyEngineeringPower-split CVTBioengineering02 engineering and technologyKinematicsSystem of linear equations020901 industrial engineering & automation0203 mechanical engineeringPower splitTorqueMechanics of MaterialContinuously variable transmissionDirect analysisAnalysis methodE-CVTbusiness.industryMechanical EngineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionControl engineeringSettore ING-IND/13 - Meccanica Applicata Alle MacchineHybridGM VoltecComputer Science ApplicationsPower (physics)Direct analysi020303 mechanical engineering & transportsTransmission (telecommunications)Mechanics of MaterialsbusinessMechanism and Machine Theory
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Modeling and control of uncertain nonlinear systems

2018

A survey of the methodologies associated with the modeling and control of uncertain nonlinear systems has been given due importance in this paper. The basic criteria that highlights the work is relied on the various patterns of techniques incorporated for the solutions of fuzzy equations that corresponds to fuzzy controllability subject. The solutions which are generated by these equations are considered to be the controllers. Currently, numerical techniques have come out as superior techniques in order to solve these types of problems. The implementation of neural networks technique is contributed in the complex way of dealing the appropriate coefficients and solutions of the fuzzy systems.

0209 industrial biotechnologyMathematical optimizationArtificial neural networkComputer scienceComputingUncertain systemsComputational mathematics02 engineering and technologyFuzzy control systemFuzzy logicControllabilitymodellingNonlinear system020901 industrial engineering & automationuncertain systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingfuzzy equationsnonlinear systemsControl (linguistics)control/dk/atira/pure/subjectarea/asjc/1700/dk/atira/pure/core/subjects/computingComputer Science(all)
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Adapted Approach for Omnidirectional Egomotion Estimation

2011

Egomotion estimation is based principally on the estimation of the optical flow in the image. Recent research has shown that the use of omnidirectional systems with large fields of view allow overcoming the limitation presented in planar-projection imagery in order to address the problem of motion analysis. For omnidirectional images, the 2D motion is often estimated using methods developed for perspective images. This paper adapts motion field calculated using adapted method which takes into account the distortions existing in the omnidirectional image. This 2D motion field is then used as input to the egomotion estimation process using spherical representation of the motion equation. Expe…

0209 industrial biotechnologyMotion analysisbusiness.industryComputer sciencePerspective (graphical)Optical flow[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Equations of motion020207 software engineering02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Motion (physics)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationMotion fieldComputer Science::Computer Vision and Pattern RecognitionMotion estimation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessOmnidirectional antennaComputingMilieux_MISCELLANEOUS
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Calibration of mobile manipulators using 2D positional features.

2018

International audience; Robotic manipulators are increasingly being attached to Automatic Ground Vehicles (AGVs) to aid in the efficiency of assembly for manufacturing systems. However, calibrating these mobile manipulators is difficult as the offset between the robotic manipulator and the AGV is often unknown. This paper provides a novel, simple, and low-cost method for calibrating and measuring the performance of mobile manipulators by using data collected from a laser retroreflector that digitally detects the horizontal two-dimensional (2D) position of reflectors on an artifact as well as a navigation system that provides the heading angle and 2D position of the AGV. The method is mathem…

0209 industrial biotechnologyOffset (computer science)PoseForm AxRegistrationComputer scienceRobot manipulator02 engineering and technologyBaseArticle03 medical and health sciences[SPI]Engineering Sciences [physics]020901 industrial engineering & automation0302 clinical medicineSensor calibrationOrientationCalibrationYBComputer visionElectrical and Electronic EngineeringInstrumentationRobot-world/hand-eye calibrationClosed form solution Hand-Eye CalibrationSensorbusiness.industryApplied MathematicsNavigation systemSimultaneous Robot-WorldCondensed Matter PhysicsManufacturing systemsHomogeneous Transform EquationsRetroreflector030220 oncology & carcinogenesisSimulated dataXBArtificial intelligenceClosed-form expressionQuaternionsbusinessMeasurement : journal of the International Measurement Confederation
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Increasing Neural Stem Cell Division Asymmetry and Quiescence Are Predicted to Contribute to the Age-Related Decline in Neurogenesis.

2018

Summary: Adult murine neural stem cells (NSCs) generate neurons in drastically declining numbers with age. How cellular dynamics sustain neurogenesis and how alterations with age may result in this decline are unresolved issues. We therefore clonally traced NSC lineages using confetti reporters in young and middle-aged adult mice. To understand the underlying mechanisms, we derived mathematical models that explain observed clonal cell type abundances. The best models consistently show self-renewal of transit-amplifying progenitors and rapid neuroblast cell cycle exit. In middle-aged mice, we identified an increased probability of asymmetric stem cell divisions at the expense of symmetric di…

0301 basic medicineCell typeAgingNeurogenesisBiologyAdult Neurogenesis ; Computational Model ; Lineage Tracing ; Lineage Tree Simulation ; Model Averaging ; Moment EquationsModels BiologicalGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesMiceNeuroblastNeural Stem CellsAnimalsCell LineageComputer SimulationProgenitor celllcsh:QH301-705.5Stochastic ProcessesNeurogenesisAsymmetric Cell DivisionCell CycleReproducibility of ResultsCell cycleNeural stem cellClone Cells030104 developmental biologylcsh:Biology (General)Stem cellNeuroscienceHomeostasisCell reports
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Remarks on GRN-type systems

2020

Systems of ordinary differential equations that appear in gene regulatory networks theory are considered. We are focused on asymptotical behavior of solutions. There are stable critical points as well as attractive periodic solutions in two-dimensional and three-dimensional systems. Instead of considering multiple parameters (10 in a two-dimensional system) we focus on typical behaviors of nullclines. Conclusions about possible attractors are made.

0301 basic medicineComputer sciencelcsh:RGeneral EngineeringGene regulatory networkattractorslcsh:MedicineType (model theory)Nullcline03 medical and health sciences030104 developmental biology0302 clinical medicineordinary differential equations030220 oncology & carcinogenesisOrdinary differential equationAttractorgenetic regulatory networksApplied mathematicslcsh:Qlcsh:ScienceFocus (optics)4open
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