Search results for " identification"

showing 10 items of 707 documents

State Space-Vector Model of Linear Induction Motors Including End-effects and Iron Losses - Part II: Model Identification and Results

2020

This is the second part of an article, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear induction motor (LIM) taking into consideration both the dynamic end-effects and the iron losses as well as the offline identification of its parameters. This second part is devoted to the description of an identification technique that has been suitably developed for the estimation of the electrical parameters of the LIM dynamic model accounting for both the dynamic end-effects and iron losses. Such an identification technique is strictly related to the state formulation of the proposed model and exploits genetic algorithms for minimizing a suitable cost …

Computer scienceidentification techniquelinear 22 induction motor (LIM)020208 electrical & electronic engineeringSystem identification020302 automobile design & engineering02 engineering and technologyFunction (mathematics)Industrial and Manufacturing EngineeringFinite element methodEnd-effectsEnd-effectIdentification (information)0203 mechanical engineeringSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryLinear induction motor0202 electrical engineering electronic engineering information engineeringState spacelinear induction motor (LIM)State (computer science)Electrical and Electronic Engineeringparameter estimationInduction motor
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Application of model quality evaluation to systems biology

2008

Application of model quality evaluation to the quasispecies models is presented. These models are useful for the analysis of the DNA and RNA evolution and for the description of the population dynamics of viruses and bacteria. An estimate of the parameters together with their interval of variability is computed and the quality evaluation is tested on the basis of the model prediction error capability.

Computer sciencemedia_common.quotation_subjectSystems biologyset membershipPopulationViral quasispeciesInterval (mathematics)Computational biologycomputer.software_genreSettore ING-INF/04 - AutomaticaModels of DNA evolutionmolecular biophysicsQuality (business)educationgenetics microorganismsmedia_commoneducation.field_of_studyDNA; biochemistry evolution (biological); genetics microorganisms; molecular biophysics; reaction kinetics; identification; set membership; optimizationBasis (linear algebra)Estimation theoryDNADNA biochemistry evolution (biological) genetics microorganisms molecular biophysics reaction kinetics identification set membership optimizationbiochemistry evolution (biological)identificationreaction kineticsData miningcomputeroptimization
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A linearization technique and error estimates for distributed parameter identification in quasilinear problems

1996

The identification problem of a nonlinear functional coefficient in elliptic and parabolic quasilinear equations is considered. A distributed observation of the solution of the corresponding equation is assumed to be known a priori. An identification method is introduced, which needs only a linear equation to be solved in each iteration step of the optimization. Estimates of the rate of convergence for the proposed approach are proved, when the equation is discretized with the finite element method with respect to space variables. Some numerical results are given.

Control and OptimizationPartial differential equationIterative methodMathematical analysisFinite element methodComputer Science ApplicationsParameter identification problemNonlinear systemRate of convergenceLinearizationSignal ProcessingAnalysisLinear equationMathematicsNumerical Functional Analysis and Optimization
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Experimental System Identification and Black Box Modeling of Hydraulic Directional Control Valve

2015

Directional control valves play a large role in most hydraulic systems. When modeling the hydraulic systems, it is important that both the steady state and dynamic characteristics of the valves are modeled correctly to reproduce the dynamic characteristics of the entire system. In this paper, a proportional valve (Brevini HPV 41) is investigated to identify its dynamic and steady state characteristics. The steady state characteristics are identified by experimental flow curves. The dynamics are determined through frequency response analysis and identified using several transfer functions. The paper also presents a simulation model of the valve describing both steady state and dynamic charac…

Control valvesEngineeringFrequency response analysisSteady state (electronics)business.industryblack box modelingBrevini HPV41Transfer functionlcsh:QA75.5-76.95Computer Science ApplicationsDirectional control valveIdentification (information)Experimental systemControl and Systems EngineeringControl theoryModeling and SimulationBlack boxlcsh:Electronic computers. Computer scienceHydraulic machinerybusinessSoftwaresystem identificationModeling, Identification and Control
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Faces and Identities: is it possible measuring the reliability of the 3D craniofacial approximations

2015

The craniofacial approximation (CFA) is largely used in forensic identification of unknown skeletonized bodies. Despite numerous forensic reports have proved successful in identifying a cadaver, it is very hard to assess the reliability of CFA methods. The present work aims to evaluate the accuracy of CFAs through the comparison of a blind facial approximation with a simultaneous faces array test. The blind CFA was made following the Manchester’s protocol. In our test the CFA was compared with a photographic array of ten faces, included the photo of the individual whom belonged the skull. The positive recognition was evaluated by a total of 320 unfamiliar assessors. During the test a survey…

Craniofacial approximationFace arrayForensic anthropologyFacial reconstructionForensic scienceCraniofacial identification
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Presence of pathogenic bacteria in ice cubes and evaluation of their survival in different systems

2017

In this study, 60 samples of ice cubes produced at different levels (domestic, restaurant and industrial facilities), within a restricted geographical area, were investigated for their general microbiological characteristics through the analysis of populations other than enteric bacteria. Total mesophilic bacteria were in the range 1.01 × 102–9.55 × 103, 3.12 × 102–6.31 × 103and 1.30 × 102–3.99 × 103CFU/100 mL of thawed ice from domestic freezer (DF), stock boxes (SB) for self-production performed with ice machines in bars and pubs, and from sales packages (SP) of industrial productions, respectively. Some DF and SP samples were negative for the presence of total psychrotrophic…

Cross-contamination; Genetic identification; Human infections; Hygiene; Ice cubes; Microbial survival; Applied Microbiology and Biotechnology0301 basic medicineMicroorganism030106 microbiologyBacillus cereusmedicine.disease_causeApplied Microbiology and BiotechnologyMicrobiology03 medical and health sciencesfoodmedicineCross-contaminationFood scienceGenetic identificationfood.beveragebiologyPseudomonasIce cubeHygienePathogenic bacteriaAcinetobacterbiology.organism_classificationMicrobial survivalTonic waterPsychrotrophic bacteriaHuman infectionAcinetobacter lwoffiiSettore AGR/16 - Microbiologia AgrariaAnnals of Microbiology
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Myc Promoter-Binding Protein-1 (MBP-1) Is a Novel Potential Prognostic Marker in Invasive Ductal Breast Carcinoma

2010

BackgroundAlpha-enolase is a glycolytic enzyme that catalyses the formation of phosphoenolpyruvate in the cell cytoplasm. α-Enolase and the predominantly nuclear Myc promoter-binding protein-1 (MBP-1) originate from a single gene through the alternative use of translational starting sites. MBP-1 binds to the P2 c-myc promoter and competes with TATA-box binding protein (TBP) to suppress gene transcription. Although several studies have shown an antiproliferative effect of MBP-1 overexpression on several human cancer cells, to date detailed observations of α-enolase and MBP-1 relative expression in primary tumors versus normal tissues and their correlation with clinicopathological features ha…

CytoplasmAlpha-enolasePROGRESSIONAged 80 and overRegulation of gene expressionMultidisciplinaryQRGenetics and Genomics/Gene ExpressionMiddle AgedPrognosisPathology/Molecular PathologyNUDE-MICETransport proteinCarcinoma DuctalDNA-Binding ProteinsGene Expression Regulation NeoplasticProtein Transportmedicine.anatomical_structureGLYCOLYTIC ENZYMEOncology/Breast CancerMedicineCELL LUNG-CANCER; ALPHA-ENOLASE; PROTEOMIC ANALYSIS; GLYCOLYTIC ENZYME; NUDE-MICE; GENE; IDENTIFICATION; PROGRESSION; EXPRESSION; METASTASESFemalePROTEOMIC ANALYSISEnolase MBP-1 Breast cancer ImmunohistochemistryResearch ArticleAdultEXPRESSIONScienceCELL LUNG-CANCERBreast NeoplasmsBiologyDNA-binding proteinBiomarkers TumormedicineHumansNeoplasm InvasivenessGeneAgedCell NucleusIDENTIFICATIONBinding proteinALPHA-ENOLASEGENEMolecular biologySettore BIO/18 - GeneticaCell nucleusMETASTASESCytoplasmPhosphopyruvate Hydratasebiology.proteinPLoS ONE
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Digital image processing for rapid analysis of differentially expressed transcripts on high-density cDNA arrays.

1999

Usage of filter arrays is becoming increasingly attractive for many research laboratories involved in determination of gene-expression profiles. However, analysis of numerous spots, representing genes or partial gene sequences (ESTs), is still tedious work involving the ordered analysis of vast amounts of numerical tabular data. We present a rapid and efficient method for the visual identification of differentially expressed targets on high-density cDNA filter arrays using standard laboratory equipment and standard software, which is available for free. The method we introduce provides an inexpensive alternative, and no changes in the experimental set up are required. Our results were veri…

DNA ComplementaryCDNA ArraysTranscription Geneticbusiness.industryHigh densityColorGene ExpressionComputational biologyVisual identificationBiologyBioinformaticsGeneral Biochemistry Genetics and Molecular BiologySet (abstract data type)SoftwareFilter (video)Complementary DNADigital image processingImage Processing Computer-AssistedAutoradiographyCloning MolecularbusinessSoftwareBiotechnologyDensitometryBioTechniques
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Damage identification by a modified Ant Colony Optimization for not well spaced frequency systems

2011

Recently, it has been shown , that a damage detection strategy based on a proper functional calculated on the analytical signal of the structural dynamical response, consents to identify very low damage level. In this regard, they stressed the efficiency of Hilbert Transform to obtain the analytical response representation that shows more sensitivity for predicting damage with respect to the simple signal response. Then, a damage identification procedure based on the minimization of the difference between theoretical and measured data was proposed with satisfactory results. Unfortunately, this procedure, since the need of use of band pass filter around the natural frequency of the system, f…

Damage Identification; Hilbert Transform; Ant colony optimization.Ant colony optimization.Damage IdentificationSettore ICAR/08 - Scienza Delle CostruzioniHilbert Transform
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Systems, models and languages

2010

This paper presents a comparison of language aspects in a model and a meta-model. The motivation is to get a better understanding of how we should define a modeling language.

Digital subscriber lineSoftwareLanguage identificationProgramming languageModeling languageComputer sciencebusiness.industrySpecification languagecomputer.software_genrebusinesscomputerMetamodeling2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)
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