Search results for "Parameters"

showing 10 items of 13273 documents

Offshoring along the production chain

2009

Recent contributions on offshoring often assume that firms can freely split their production process into separate steps which can be ranked according to the cost savings from producing abroad. We replace this assumption by the notion of a technologically determined sequence of production steps. In our model, cost savings from offshoring fluctuate along the production chain, and moving unfinished goods across borders causes transport costs. We show that, in such a setting, firms may refrain from offshoring even if relocating individual steps would be advantageous in terms of offshoring costs, or they may offshore (almost) the entire production chain to save transport costs. Small variations…

MicroeconomicsEconomics and EconometricsOffshoringEconomicsModel parametersoffshoring international trade vertical production chainjel:F10Production chainjel:D24Sequence (medicine)jel:F23Canadian Journal of Economics
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An Advanced Technique for User Identification Using Partial Fingerprint

2013

User identification is a very interesting and complex task. Invasive biometrics is based on traits uniqueness and immutability over time. In forensic field, fingerprints have always been considered an essential element for personal recognition. The traditional issue is focused on full fingerprint images matching. In this paper an advanced technique for personal recognition based on partial fingerprint is proposed. This system is based on fingerprint local analysis and micro-features, endpoints and bifurcations, extraction. The proposed approach starts from minutiae extraction from a partial fingerprint image and ends with the final matching score between fingerprint pairs. The computation o…

MinutiaeSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMatching (statistics)Biometricsbusiness.industryComputer scienceData_MISCELLANEOUSFeature extractionFingerprint Verification CompetitionPattern recognitionFingerprint recognitionIdentification (information)FingerprintComputer visionArtificial intelligenceUser identification Partial fingerprint Minutiae Roto-translation parametersbusiness
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An evolutionary approach to multi-objective scheduling of mixed model assembly lines

1999

In this paper a multi-objective genetic algorithm for the scheduling of a mixed model assembly line is proposed, pursuing the line stop time minimisation together with the component usage smoothing. Specific features of the developed GA are step by step random selection of diversified crossover and mutation operators, population control for the substitution of duplicate chromosomes, and in-process updating of GA control parameters. Three different formulation of the fitness function were been tested with some distinct line configurations.

Mixed modelMutation operatorEngineeringMixed Model assembly line; Multiobjective scheduling; Genetic algorithmFitness functionMixed Model assembly lineGeneral Computer Sciencebusiness.industryCrossoverGeneral EngineeringGenetic algorithmMultiobjective schedulingStop timeControl parametersAssembly linebusinessAlgorithmSmoothing
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A nonlinear mixed model approach to predict energy expenditure from heart rate.

2021

Abstract Objective. Heart rate (HR) monitoring provides a convenient and inexpensive way to predict energy expenditure (EE) during physical activity. However, there is a lot of variation among individuals in the EE-HR relationship, which should be taken into account in predictions. The objective is to develop a model that allows the prediction of EE based on HR as accurately as possible and allows an improvement of the prediction using calibration measurements from the target individual. Approach. We propose a nonlinear (logistic) mixed model for EE and HR measurements and an approach to calibrate the model for a new person who does not belong to the dataset used to estimate the model. The …

Mixed modelsykePhysiologyComputer science0206 medical engineeringindividual calibrationBiomedical EngineeringBiophysicsPhysical activityphysical activityheart rate monitoringModel parameters02 engineering and technologykalibrointilogistinen sekamallisykemittaus [energiankulutus]03 medical and health sciences0302 clinical medicineHeart RatePhysiology (medical)energy expenditureCalibrationHumanslogistic mixed modeltilastolliset mallitExerciseMonitoring PhysiologicHeterogeneous groupPrediction interval020601 biomedical engineeringmittausmenetelmätNonlinear systemEnergy expenditureExercise TestsykemittaritEnergy Metabolismfyysinen aktiivisuus.Algorithmfyysinen aktiivisuusenergiankulutus (aineenvaihdunta)030217 neurology & neurosurgeryPhysiological measurement
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Novel 3D bio-macromolecular bilinear descriptors for protein science: Predicting protein structural classes

2015

In the present study, we introduce novel 3D protein descriptors based on the bilinear algebraic form in the ℝn space on the coulombic matrix. For the calculation of these descriptors, macromolecular vectors belonging to ℝn space, whose components represent certain amino acid side-chain properties, were used as weighting schemes. Generalization approaches for the calculation of inter-amino acidic residue spatial distances based on Minkowski metrics are proposed. The simple- and double-stochastic schemes were defined as approaches to normalize the coulombic matrix. The local-fragment indices for both amino acid-types and amino acid-groups are presented in order to permit characterizing fragme…

Models MolecularProtein structural classesMathematical parametersProtein functionQuantitative Structure-Activity RelationshipBilinear interpolationQuantitative structure activity relation3D protein descriptorBilinear formProceduresChemical structureStatistical parametersMinkowski spaceProtein analysisAmino AcidsPriority journalMathematicsInterpretabilityQuantitative Biology::BiomoleculesApplied MathematicsStatistical parameterValidation studyGeneral MedicineComputer simulationDiscriminant analysisReproducibilityAmino acidAlgorithmChemistryProtein conformationModeling and SimulationStatistical modelGeneral Agricultural and Biological SciencesBiological systemAmino acid analysisAlgorithmsNonbiological modelStatistics and ProbabilityCorrelation coefficientLDAMacromolecular SubstancesMarkov chainMacromoleculeStructure analysisModels BiologicalArticleGeneral Biochemistry Genetics and Molecular BiologyCombinatoricsStochastic processesBilinear formBiologyMatrixGeneral Immunology and MicrobiologyProteinCoulombic matrixComputational BiologyProteinsReproducibility of ResultsLinear discriminant analysisWeightingCorrelation coefficientProtein structureBiological modelLinear ModelsThree-dimensional modelingJournal of Theoretical Biology
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Relationship Between Surgical Difficulty of Third Molar Extraction Under Local Anesthesia and the Postoperative Evolution of Clinical and Blood Param…

2019

To determine whether the Pederson scale is a good predictor of the surgical difficulty of third molar extraction and establish whether such surgical difficulty is directly related to the postoperative course as assessed from clinical (pain, inflammation, and trismus) and blood (C-reactive protein, interleukin-6 [IL-6], and fibrinogen) parameters.A prospective observational study was conducted of 2 groups of patients who underwent simple or surgical third molar extraction under local anesthesia. Clinical and blood parameters and possible complications were recorded for 1 week after extraction.A total of 118 patients were studied. Surgical difficulty as predicted by the Pederson scale showed …

MolarMandibleFibrinogenTrismus03 medical and health sciences0302 clinical medicinePostoperative ComplicationsmedicineHumansLocal anesthesiaProspective StudiesProspective cohort studyPain Postoperativebusiness.industryTooth Impacted030206 dentistryOtorhinolaryngology030220 oncology & carcinogenesisAnesthesiaTooth ExtractionSurgeryMolar ThirdTrismusOral Surgerymedicine.symptomBlood parametersbusinessmedicine.drugAnesthesia LocalJournal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons
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Evaluation of Cardiac Volumetric and Functional Parameters

2008

Multidetector CT functional parameters coronary arteriesSettore MED/36 - Diagnostica Per Immagini E Radioterapia
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Analysis of the multipactor effect by means of the 3D BI-RME method

2017

Multipactor effect is a well-known phenomenon of RF breakdown in satellite pay-loads which degrades components, generates undesirable harmonics, contributes to power dissipation and increases noise in communications. Traditionally, multipactor has been investigated with the aim of obtaining the so-called multipactor threshold voltage, or to present different multipaction detection methods. Little effort has been devoted, in contrast, to study the problem from a full-wave point of view, thus allowing for the analysis of more complex structures. The main goal of this work is to analyze the interaction between a multipactor current and a realistic microwave cavity by means of a rigorous and ac…

Multipactor effectPhysicsAdmittanceHarmonicsDissipationRepresentation (mathematics)TopologyNoise (electronics)Microwave cavityAdmittance parameters2017 Progress In Electromagnetics Research Symposium - Spring (PIERS)
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The Multiscale Stochastic Model of Fractional Hereditary Materials (FHM)

2013

Abstract In a recent paper the authors proposed a mechanical model corresponding, exactly, to fractional hereditary materials (FHM). Fractional derivation index 13 E [0,1/2] corresponds to a mechanical model composed by a column of massless newtonian fluid resting on a bed of independent linear springs. Fractional derivation index 13 E [1/2, 1], corresponds, instead, to a mechanical model constituted by massless, shear-type elastic column resting on a bed of linear independent dashpots. The real-order of derivation is related to the exponent of the power-law decay of mechanical characteristics. In this paper the authors aim to introduce a multiscale fractance description of FHM in presence …

Multiscale FractanceRandom modelsStochastic modellingMathematical analysisModel parametersGeneral MedicineFractional HereditarinessDashpotFractional calculusMassless particleFractional DerivativesFractional Derivatives; Fractional Hereditariness; Multiscale Fractance; Random modelsFractional HereditarineCalculusExponentNewtonian fluidLinear independenceFractional DerivativeMathematicsProcedia IUTAM
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Association between climate and new daily diagnoses of COVID-19

2020

AbstractBackgroundAlthough evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks, uncertainty remains concerning the real impact of climate factors on viral transmission. Methods. The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region, while information on daily weather parameters in the same area was downloaded from IlMeteo website, a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 to November 11, 2020. The number of new daily COVID-19 cases and meteorological da…

Multivariate analysisCoronavirus disease 2019 (COVID-19)Leadership and ManagementStrategy and Management2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity1% decrease in humidityWind speedmin and max temperatureand influence the likelihood or course of local COVID-19 outbreaks. Preventive measuresHealth Information Managementa renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11mean air temperature1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with &ltHealth Policy1 km/h increase in wind speed and day with rainfall were independently associated with 1.0%Significant differencehumidityUnivariateOutbreakHumidityand inversely correlated with meanmean wind speed and number of days with rainfall. Days of lockdownwhile information on daily weather parameters in the same area was downloaded from IlMeteo websitetesting policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.Background: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks0.3%uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto RegionGeography100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmissionAir temperaturemean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperatureBackground: Although evidence is accumulating that climate conditions may positively or negatively influence the scale of coronavirus disease 2019 (COVID-19) outbreaks uncertainty remains concerning the real impact of climate factors on viral transmission. Methods: The number of new daily cases of COVID-19 diagnosed in Verona (Italy) was retrieved from the official website of Veneto Region while information on daily weather parameters in the same area was downloaded from IlMeteo website a renowned Italian technological company specialized in weather forecasts. The search period ranged between March 1 and November 11 2020. The number of new daily COVID-19 cases and meteorological data in Verona were correlated using both univariate and multivariate analysis. Results: The number of daily COVID-19 diagnoses in Verona was positively associated with the number of days in lockdown and humidity and inversely correlated with mean min and max temperature mean wind speed and number of days with rainfall. Days of lockdown mean air temperature humidity mean wind speed and number of days with rainfall remained significantly associated in multivariate analysis. The four weather parameters contributed to explaining 61% of variance in new daily COVID-19 diagnoses. Each 1% increase in air temperature 1% decrease in humidity 1 km/h increase in wind speed and day with rainfall were independently associated with 1.0% 0.3% 1.2% and 5.4% reduction in new COVID-19 daily diagnoses. A significant difference was observed in values of all-weather parameters recorded in Verona between days with <100 or ≥100 new daily COVID-19 diagnoses. Conclusions: Climate conditions may play an essential role in conditions of viral transmission and influence the likelihood or course of local COVID-19 outbreaks. Preventive measures testing policies and hospital preparedness should be reinforced during periods of higher meteorological risk and in local environments with adverse climate conditions.DemographyJournal of Hospital Management and Health Policy
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