Search results for "Real system"

showing 8 items of 8 documents

Comment on “How skew distributions emerge in evolving systems” by Choi M. Y. et al.

2010

Power-law distributions and other skew distributions, observed in various models and real systems, are considered. As an example, critical exponents determined from highly accurate experimental data very close to the λ-transition point in liquid helium are discussed in some detail. A model, describing evolving systems with increasing number of elements, is considered to study the distribution over element sizes. Stationary power-law distributions are found. Certain non-stationary skew distributions are obtained and analyzed, based on exact solutions. Validerad; 2010; 20100908 (weber)

Other Physics TopicsNaturvetenskap - FysikReal systemsSkewGeneral Physics and AstronomyEvolving systemsAnnan fysikNatural sciences - PhysicsStatistical physicsCritical exponentMathematicsEPL (Europhysics Letters)
researchProduct

Basic Concepts and the Discovery of Solitons

1996

Today, many scientists see nonlinear science as the most deeply important frontier for the fundamental understanding of Nature. The soliton concept was firmly established after a gestation period of about one hundred and fifty years. Since then, different kinds of solitons have been observed experimentally in various real systems, and today, they have captured the imagination of scientists in most physical discipline. They are widely accepted as a structural basis for viewing and understanding the dynamic behavior of complex nonlinear systems. Before introducing the soliton concept via its remarkable and beautiful historical path we compare briefly the linear and nonlinear behavior of a sys…

Nonlinear systemReal systemsSolitonWave trainEpistemologyMathematics
researchProduct

Modelling and Testing of Real Systems

2016

Modelling and Programming are often used together in system development. However, typically there is a large conceptual gap between modelling and programming. This leads to problems in unified handling and the transition between the two. This way, extra work is required when combining modelling and programming. This paper develops a common understanding that can unify modelling and programming in system development.

System developmentWork (electrical)Real systemsComputer science0202 electrical engineering electronic engineering information engineering020207 software engineering020201 artificial intelligence & image processing02 engineering and technologyIndustrial engineering
researchProduct

Simulation of Order-Disorder Phenomena and Diffusion in Metallic Alloys

1991

The application of the Monte Carlo method to lattice-statistics problems in metallurgy is reviewed. Examples are given for the prediction of phase diagrams from simple model assumptions for effective interatomic potentials and for the calculation of parameters describing long- and short-range order, ordering energy, etc., both for face-centered cubic (fcc) and body-centered cubic (bcc) lattices. Applications to real systems such as Cu—Au and Fe—Al alloys are discussed.

Metallic alloyCondensed Matter::Materials ScienceMaterials scienceReal systemsSimple (abstract algebra)Spinodal decompositionMonte Carlo methodOrder (ring theory)Statistical physicsDiffusion (business)Phase diagram
researchProduct

Spatial graphs and Convolutive Models

2020

In the last two decades, many complex systems have benefited from the use of graph theory, and these approaches have shown robust applicability in the field of finance, computer circuits and in biological systems. Large scale models of brain systems make also a great use of random graph models. Graph theory can be instrumental in modeling the connectivity and spatial distribution of neurons, through a characterization of the relative topological properties. However, all approaches in studying brain function have been so far limited to use experimental constraints obtained at a macroscopic level (e.g. fMRI, EEG, MEG, DTI, DSI). In this contribution, we present a microscopic use (i.e. at the …

Random graphSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni0303 health sciencesQuantitative Biology::Neurons and CognitionSettore INF/01 - InformaticaReal systemsComputer scienceComplex systemGraph theoryPower law03 medical and health sciences0302 clinical medicineSettore MAT/05 - Analisi MatematicaSpatial graph random graph neural system networksMerge (version control)Scale modelAlgorithm030217 neurology & neurosurgeryBrain function030304 developmental biology
researchProduct

Identification of Distributed Systems with Logical Interaction Structure

2012

This paper focuses on the structure identification problem for a class of networked systems, where the interaction among components or agents is described through logical maps. In particular, agents are heterogeneous cooperating systems, i.e. they may have different individual dynamics and different interaction rules depending on input events. While we assume that the individual agents' dynamics are known, each agent has partial knowledge of the logical map encoding the interaction of another agent with its neighbors. Based on the so-called algebraic normal form for binary functions, we present a technique by which the network structure described by a logical function can be dynamically est…

Partial knowledgeTheoretical computer scienceInteraction ruleDistributed computingBinary numberClass (philosophy)Individual dynamicAlgebraic normal formLogical functionAlgebraic normal forms; Binary functions; Cooperating systems; Distributed systems; Individual agent; Individual dynamics; Interaction rules; Interaction structures; Logical functions; Logical maps; Lower approximation; Network structures; Networked systems; Partial knowledge; Real systems; Structure identification; Truth tablesBinary functionSettore ING-INF/04 - AutomaticaLogical mapMathematicsCooperating systemStructure (mathematical logic)Networked systemStructure identificationTruth tablesTruth tableMobile robotReal systemParameter identification problemAlgebraic normal formIdentification (information)Lower approximationInteraction structureIndividual agentDistributed systemNetwork structure
researchProduct

Inhibitory Effect of Azamacrocyclic Ligands on Polyphenol Oxidase in Model and Food Systems

2020

[EN] Enzymatic browning is one of the main problems faced by the food industry due to the enzyme polyphenol oxidase (PPO) provoking an undesirable color change in the presence of oxygen. Here, we report the evaluation of 10 different azamacrocyclic compounds with diverse morphologies as potential inhibitors against the activity of PPO, both in model and real systems. An initial screening of 10 ligands shows that all azamacrocyclic compounds inhibit to some extent the enzymatic browning, but the molecular structure plays a crucial role on the power of inhibition. Kinetic studies of the most active ligand (L2) reveal a S-parabolic I-parabolic noncompetitive inhibition mechanism and a remarkab…

0106 biological sciencesPPOTECNOLOGIA DE ALIMENTOSMacrocyclic polyaminesLigands01 natural sciencesPolyphenol oxidaseQUIMICA ORGANICANon-competitive inhibitionBrowningEnzyme InhibitorsInhibitory effectIC50InhibitionPlant Proteinschemistry.chemical_classificationEnzymatic activityChemistryReal systemsLigand010401 analytical chemistryGeneral Chemistry0104 chemical sciencesFruit and Vegetable JuicesKineticsEnzymeBiochemistryFruitMalusGeneral Agricultural and Biological SciencesCatechol Oxidase010606 plant biology & botanyJournal of Agricultural and Food Chemistry
researchProduct

SYSTEMS DECOMPOSITION AND COUPLING

1993

In order to handle efficiently complex models of real systems, it is a convenient practice to decompose them into subsystems that are validated independently. The next step would be joining the subsystems into a global system and performing a new global validation. A formalization of this process is performed as a consequence of practical experience with a model generator expert system based on general systems theory.

Global systemReal systemsComputer scienceProcess (engineering)Control engineeringcomputer.software_genreExpert systemCoupling (computer programming)Systems theoryArtificial IntelligencecomputerAlgorithmSoftwareInformation SystemsGenerator (mathematics)Cybernetics and Systems
researchProduct