Search results for "Abstract algebra"

showing 10 items of 452 documents

Stochastic linearization of MDOF systems under parametric excitations

1992

Abstract The stochastic linearization approach is examined for non-linear systems subjected to parametric type excitations. It is shown that, for these systems too, stochastic linearization and Gaussian closure are two equivalent approaches if the former is applied to the coefficients of the Ito differential rule. A critical review of other stochastic linearization approaches is also presented and discussed by means of simple examples.

Applied MathematicsMechanical EngineeringGaussianClosure (topology)symbols.namesakeMechanics of MaterialsLinearizationSimple (abstract algebra)Control theorysymbolsApplied mathematicsRandom vibrationFeedback linearizationDifferential (mathematics)Parametric statisticsMathematics
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A spiking network for body size learning inspired by the fruit fly

2013

The concept of peripersonal space is an interesting research topics for psychologists, neurobiologists and for robotic applications. A living being can learn the representation of its own body to take the correct behavioral decision when interacting with the world. To transfer these important learning mechanisms on bio-robots, simple and efficient solutions can be found in the insect world. In this paper a neural-based model for body-size learning is proposed taking into account the results obtained in experiments with fruit flies. Simulations and experimental results on a roving platform are reported and compared with the biological counterpart.

Artificial neural networkbusiness.industryComputer scienceComputational modelMobile robotBiologically inspired modelsSpace (commercial competition)Body sizeMachine learningcomputer.software_genreDrosophila melanogasterSimple (abstract algebra)Biologically inspired models; Drosophila melanogaster; Computational modelArtificial intelligenceBiomimeticsbusinessRepresentation (mathematics)computer
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The helicity matching approach to heavy hadron form factors

1991

Abstract I discuss the helicity matching approach to current-induced transitions among heavy hadrons. This approach provides a simple and intuitively appealing access to the calculation of heavy hadron form factors which is entirely equivalent to the approach of Isgur and Wise and other authors, who use different techniques to obtain the same results. We work out explicit examples in the meson and baryon sectors and discuss possible approximations to the most general approach and some of their implications for future experiments.

BaryonPhysicsNuclear and High Energy PhysicsMatching (statistics)Particle physicsWork (thermodynamics)MesonSimple (abstract algebra)High Energy Physics::PhenomenologyHadronNuclear ExperimentHelicityAtomic and Molecular Physics and OpticsNuclear Physics B - Proceedings Supplements
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Electric Vehicles and Psychology, Part 2

2021

This paper presents the main psychological attitudes influencing the transition from conventional ICEV to BEV, and it is the continuance of Electric vehicles and psychology, part 1, [1]. This part faces the range anxiety problem, the risk of explosion of batteries, the autonomous silver vehicles and the experience of driving electric vehicles. If the reader is looking for simple answers, the author does not recommend the subsequent reading, since few paradoxes will be solved.

Battery (electricity)egg and chicken paradoxRange anxietyTransition (fiction)media_common.quotation_subjectBatterykey motivators and barriersSimple (abstract algebra)Reading (process)public perceptionContinuancerange anxietyPsychologymedia_commonCognitive psychologyelectric vehicles
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MODELLING USER UNCERTAINTY FOR DISCLOSURE RISK AND DATA UTILITY

2002

In this paper we show how a simple model that captures user uncertainty can be used to define suitable measures of disclosure risk and data utility. The model generalizes previous results of Duncan and Lambert.1 We present several examples to illustrate how the new measures can be used to implement existing optimality criteria for the choice of the best form of data release.

Bayes estimatorArtificial IntelligenceControl and Systems EngineeringComputer scienceSimple (abstract algebra)Data miningcomputer.software_genreInformation theoryData releasecomputerSoftwareInformation SystemsInternational Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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Hybrid Quantum Mechanics/Molecular Mechanics Simulations with Two-Dimensional Interpolated Corrections:  Application to Enzymatic Processes

2006

Hybrid quantum mechanics/molecular mechanics (QM/MM) techniques are widely used to study chemical reactions in large systems. Because of the computational cost associated with the high dimensionality of these systems, the quantum description is usually restricted to low-level methods, such as semiempirical Hamiltonians. In some cases, the description obtained at this computational level is quite poor and corrections must be considered. We here propose a simple but efficient way to include higher-level corrections to be used in potential energy surface explorations and in the calculation of potentials of mean force. We evaluate a correction energy term as the difference between a high-level …

BiophysicsCatechol O-MethyltransferaseMethylationCatalysisSimple (abstract algebra)Quantum mechanicsMaterials ChemistryComputer SimulationPhysical and Theoretical ChemistryWave functionQuantumChemistry PhysicalChemistryFunction (mathematics)Models TheoreticalEnzymesSurfaces Coatings and FilmsClassical mechanicsModels ChemicalPotential energy surfaceChorismate mutaseQuantum TheoryThermodynamicsBicubic interpolationEnergy (signal processing)Bacillus subtilisChorismate MutaseThe Journal of Physical Chemistry B
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A simple synthesis of γ-aminoacids

2007

The addition of dianions of carboxylic acids to bromoacetonitrile, leads, in good yields, to the corresponding γ-cyanoacids that give γ-aminoacids on hydrogenation. This two-step methodology improves the results previously described.

BromoacetonitrileChemistrySimple (abstract algebra)Organic ChemistryDrug DiscoveryOrganic chemistryRegioselectivityBiochemistryTetrahedron Letters
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A novel method for harmonic mitigation for single-phase five-level cascaded H-Bridge inverter

2018

The efficiency of a system is a very important parameter for high power electrical drives applications. Moreover, the efficiency of power converters plays a fundamental role. Aim of this work, is to propose a novel selective harmonic mitigation method without solving non-linear equations. Through a very simple approach, the polynomial equations which drive the control angles have been detected for a single-phase five-level cascaded H-Bridge inverter. The obtained polynomial equations can be easily implemented in a digital system to real-time operation. The paper also presents the simulation analysis and experimental validation.

Cascaded H-bridge multilevel inverterPolynomialWork (thermodynamics)Computer scienceRenewable Energy Sustainability and the Environment020209 energyHarmonic mitigation02 engineering and technologyConvertersHigh power electrical driveSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciPower (physics)Harmonic analysisselective harmonic mitigationControl theorySimple (abstract algebra)Automotive Engineering0202 electrical engineering electronic engineering information engineeringInverter
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Analysis of neuronal networks in the visual system of the cat using statistical signals--simple and complex cells. Part II.

1978

Superimposing additively a two-dimensional noise process to deterministic input signals (bars) the neurons of area 17 show a class-specific reaction for the task of signal extraction. Moving both parts of the signals simultaneously and varying the signal to noise ratio (S/N) the simple cells achieve the same performance as resulted from the psychophysical experiment. Type I complex cells extract moving deterministic signals (i.e. bars) from the stationary noise, whereas in the answers of Type II complex cells the statistical parts of the signals predominate. Considering the different cell types each as a series of a linear and a nonlinear system one obtains the cell specific space-time freq…

Cerebral CortexNeuronsGeneral Computer ScienceSeries (mathematics)Noise (signal processing)Computer scienceSpeech recognitionModels NeurologicalStatistics as TopicProcess (computing)Complex systemElectrophysiologyForm PerceptionNonlinear systemAmplitudeSignal-to-noise ratioPattern Recognition VisualSimple (abstract algebra)CatsAnimalsVisual PathwaysBiological systemMathematicsBiotechnologyBiological cybernetics
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Analysis of neuronal networks in the visual system of the cat using statistical signals

1976

If the input signals of the visual system in the cat are statistical patterns in space and time, a complete system analysis can be carried out. What counts here as a system are the neuronal networks between retina and recording site. In the case of linearity, one obtains the temporal impulse response functions at every point in the receptive field with the aid of correlation methods. The measuring time is about one minute. Some aspects of the procedure are explained in terms of examples. The method of measurement also makes it possible to determine the characteristic function of the system in time and space between different recording sites within the cortex. It is possible to specialize th…

Characteristic function (convex analysis)Systems AnalysisGeneral Computer ScienceModels NeurologicalStatistics as TopicComplex systemLinearityNonlinear systemSimple (abstract algebra)Receptive fieldCatsElectronic engineeringAnimalsVisual PathwaysPoint (geometry)AlgorithmImpulse responseBiotechnologyMathematicsBiological Cybernetics
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