Search results for "General Mathematics"

showing 10 items of 3795 documents

Integrated dimensional and drive-train design optimization of a light-weight anthropomorphic arm

2012

An approach to minimize the mass of robotic manipulators is developed by integrated dimensional and drive-train optimization. The method addresses the influences of dimensions and characteristics of drive-trains in the design optimization. Constraints are formulated on the basis of kinematic performance and dynamic requirements, whereas the main objective is to minimize the total mass. Case studies are included to demonstrate the application of the optimization method in the design of assistive robots.

Computer Science::RoboticsBasis (linear algebra)Control and Systems EngineeringComputer scienceGeneral MathematicsRobot manipulatorDrivetrainKinematicsSoftwareSimulationComputer Science ApplicationsRobotics and Autonomous Systems
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Categories, Quantum Computing, and Swarm Robotics: A Case Study

2022

The swarms of robots are examples of artificial collective intelligence, with simple individual autonomous behavior and emerging swarm effect to accomplish even complex tasks. Modeling approaches for robotic swarm development is one of the main challenges in this field of research. Here, we present a robot-instantiated theoretical framework and a quantitative worked-out example. Aiming to build up a general model, we first sketch a diagrammatic classification of swarms relating ideal swarms to existing implementations, inspired by category theory. Then, we propose a matrix representation to relate local and global behaviors in a swarm, with diagonal sub-matrices describing individual featur…

Computer Science::RoboticsSwarm roboticsswarm robotics; quantum computing; 4-qubit system; matrix representation; colimitGeneral MathematicsColimitQA1-939Computer Science (miscellaneous)4-qubit systemQuantum computingMatrix representationEngineering (miscellaneous)MathematicsMathematics
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Uniqueness of positive multi-lump bound states of nonlinear Schr�dinger equations

2003

In this paper we are concerned with multi-lump bound states of the nonlinear Schrodinger equation

Computer Science::Roboticssymbols.namesakeNonlinear systemGeneral MathematicsMathematical analysisBound statesymbolsApplied mathematicsUniquenessNonlinear Sciences::Pattern Formation and SolitonsNonlinear Schrödinger equationSchrödinger equationMathematicsMathematische Zeitschrift
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Dynamic graphics in Excel for teaching statistics: understanding the probability density function

2011

In this article, we show a dynamic graphic in Excel that is used to introduce an important concept in our subject, Statistics I: the probability density function. This interactive graphic seeks to facilitate conceptual understanding of the main aspects analysed by the learners.

Computer graphicsGeneral MathematicsStatisticsMathematics educationSubject (documents)Probability density functionGraphicsMathematics instructionEducationTeaching Mathematics and its Applications
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A computer method for estimating volumes and surface areas of complex structures consisting of overlapping spheres

1992

A PASCAL program which calculates volumes and surface areas of structures consisting of overlapping spheres is designed. The calculation is done by modelling the structure in the memory of a computer and then scanning the memory bit- or bytewise. A brief discussion of the error is presented, and an example for testing the algorithm is provided.

Computer programComputer science010102 general mathematics010103 numerical & computational mathematicsPascal (programming language)Programming method01 natural sciencesComputer Science ApplicationsModelling and SimulationModeling and SimulationSPHERES0101 mathematicsAlgorithmcomputercomputer.programming_languageMathematical and Computer Modelling
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Representation of NURBS surfaces by Controlled Iterated Functions System automata

2019

Iterated Function Systems (IFS) are a standard tool to generate fractal shapes. In a more general way, they can represent most of standard surfaces like Bézier or B-Spline surfaces known as self-similar surfaces. Controlled Iterated Function Systems (CIFS) are an extension of IFS based on automata. CIFS are basically multi-states IFS, they can handle all IFS shapes but can also manage multi self-similar shapes. For example CIFS can describe subdivision surfaces around extraordinary vertices whereas IFS cannot. Having a common CIFS formalism facilitates the development of generic methods to manage interactions (junctions, differences...) between objects of different natures.This work focuses…

Computer scienceBasis functionBézier curve02 engineering and technology[INFO] Computer Science [cs]Computer Science::Computational Geometry01 natural scienceslcsh:QA75.5-76.95Iterated function system0202 electrical engineering electronic engineering information engineeringSubdivision surface[INFO]Computer Science [cs]0101 mathematicsComputingMilieux_MISCELLANEOUSSubdivisionFinite-state machinebusiness.industry010102 general mathematicsGeneral Engineering020207 software engineeringComputer Graphics and Computer-Aided Design[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]AutomatonHuman-Computer InteractionAlgebraComputer Science::GraphicsIterated functionlcsh:Electronic computers. Computer sciencebusinessComputers & Graphics: X
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Krill herd algorithm-based neural network in structural seismic reliability evaluation

2018

ABSTRACTIn this research work, the relative displacement of the stories has been determined by means of a feedforward Artificial Neural Network (ANN) model, which employs one of the novel methods for the optimization of the artificial neural network weights, namely the krill herd algorithm. For the purpose of this work, the area, elasticity, and load parameters were the input parameters and the relative displacement of the stories was the output parameter. To assess the precision of the feedforward (FF) model optimized using the Krill Herd Optimization (FF-KH) algorithm, comparison of results has been performed relative to the results obtained by the linear regression model, the Genetic Alg…

Computer scienceGeneral Mathematics02 engineering and technologyBack propagation neural networkkrill herdLinear regression0202 electrical engineering electronic engineering information engineeringMathematics (all)Mechanics of MaterialGeneral Materials Scienceartificial krill herd algorithmCivil and Structural Engineeringregression modelArtificial neural networkMechanical EngineeringFeed forwardseismic reliability assessment of structureKrill herd algorithmRegression analysisArtificial intelligence techniqueKrill herd021001 nanoscience & nanotechnologySettore ICAR/09 - Tecnica Delle CostruzioniMechanics of Materials020201 artificial intelligence & image processingMaterials Science (all)0210 nano-technologyoptimizationRelative displacementAlgorithmartificial neural networkMechanics of Advanced Materials and Structures
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Emphasizing visualization and physical applications in the study of eigenvectors and eigenvalues

2016

Computer scienceGeneral Mathematics05 social sciences050301 educationEducationVisualizationAlgebraComputer software0501 psychology and cognitive sciencesArchitectural educationAlgebra over a fieldMathematics instruction0503 educationEigenvalues and eigenvectors050104 developmental & child psychologyTeaching Mathematics and its Applications
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Advanced computation in cardiovascular physiology: New challenges and opportunities

2021

Recent developments in computational physiology have successfully exploited advanced signal processing and artificial intelligence tools for predicting or uncovering characteristic features of physiological and pathological states in humans. While these advanced tools have demonstrated excellent diagnostic capabilities, the high complexity of these computational 'black boxes’ may severely limit scientific inference, especially in terms of biological insight about both physiology and pathological aberrations. This theme issue highlights current challenges and opportunities of advanced computational tools for processing dynamical data reflecting autonomic nervous system dynamics, with a speci…

Computer scienceGeneral MathematicsComputationGeneral Physics and AstronomyelectrocardiogramMachine learningcomputer.software_genreComputer-AssistedHeart RateArtificial IntelligenceHumansInterpretabilitySignal processingbusiness.industryDeep learningGeneral Engineeringheart rate variabilitydeep learningSignal Processing Computer-Assistedcardiology; deep learning; electrocardiogram; heart rate variability; interpretability; respiration; Heart Rate; Humans; Nonlinear Dynamics; Signal Processing Computer-Assisted; Algorithms; Artificial IntelligenceCardiovascular physiologyComputational physiologyNonlinear DynamicscardiologySignal ProcessingArtificial intelligencebusinessinterpretabilitycomputerrespirationAlgorithms
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On Contextuality in Behavioral Data

2015

Dzhafarov, Zhang, and Kujala (Phil. Trans. Roy. Soc. A 374, 20150099) reviewed several behavioral data sets imitating the formal design of the quantum-mechanical contextuality experiments. The conclusion was that none of these data sets exhibited contextuality if understood in the generalized sense proposed in Dzhafarov, Kujala, and Larsson (Found. Phys. 7, 762-782, 2015), while the traditional definition of contextuality does not apply to these data because they violate the condition of consistent connectedness (also known as marginal selectivity, no-signaling condition, no-disturbance principle, etc.). In this paper we clarify the relationship between (in)consistent connectedness and (non…

Computer scienceGeneral MathematicsFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences050105 experimental psychology0103 physical sciences0501 psychology and cognitive sciencescontextuality010306 general physicsta515Cognitive scienceQuantum Physics05 social sciencesta111General Engineeringcyclic systemsArticlesKochen–Specker theorem81P13 81Q99 60A99 81P13 81Q99 60A99 81P13 81Q99 60A99Formal designFOS: Biological sciencesQuantitative Biology - Neurons and Cognitionconsistent connectednessNeurons and Cognition (q-bio.NC)Quantum Physics (quant-ph)
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