Search results for " uncertainties"

showing 10 items of 22 documents

D.RE.A.M.: A software for uncertainties analysis in retrospective dosimetry

2018

Accidental exposures to ionising radiations are nowadays managed with assistance from biological and physical retrospective dosimetry which are able to provide individual estimates of dose absorbed by victims. The aim of this work is to describe the development of biodosimetry analysis software within the "EURADOS Working Group 10—Retrospective dosimetry" Task group 10.6. Methods The software has been developed in Python code language that is easy to learn, read, use and extensible (it is possible to add new modules). It can implement C/C++/Fortran, Java functions. It is embeddable in applications and is open source. It is extremely portable to Unix/Linux, Windows, Mac operating systems. Th…

retrospective dosimetry uncertainties analysis software pythonSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
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Type-2 fuzzy control of a fed-batch fermentation reactor

2010

Abstract The aim of the paper is to present the application of type-2 fuzzy logic controllers (T2FLCs) to the control of a fed-batch fermentation reactor in which the penicillin production is carried out. The performance of the control system using T2FLCs is compared by simulation with that of a control system using type-1 fuzzy logic controllers (T1FLCs). The non linear model used for the simulation study is an unstructured model characterized by the presence of non linearities, parameter uncertainty and measurement noise. Simulation results confirm the robustness of the T2FLC which shows a better performance than its type-1 counterpart particularly when uncertainties are present in the co…

EngineeringSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciBatch fermentationbusiness.industryNon linear modelControl engineeringFuzzy control systemType (model theory)Fuzzy logicNoiseControl theoryRobustness (computer science)Control systemtype-2 fuzzy logic controller uncertainties non linear system fed batch fermentation reactorbusiness
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The 2017 Assisi Think Tank Meeting on rectal cancer: A positioning paper

2019

BACKGROUND AND PURPOSES: To describe current practice in the management of rectal cancer, to identify uncertainties that usually arise in the multidisciplinary team (MDT)'s discussions ('grey zones') and propose next generation studies which may provide answers to them. MATERIALS AND METHODS: A questionnaire on the areas of controversy in managing T2, T3 and T4 rectal cancer was drawn up and distributed to the Rectal-Assisi Think Tank Meeting (ATTM) Expert European Board. Less than 70% agreement on a treatment option was indicated as uncertainty and selected as a 'grey zone'. Topics with large disagreement were selected by the task force group for discussion at the Rectal-ATTM. RESULTS: The…

MaleBest practice guidelinesColorectal cancermedicine.medical_treatmentSettore MED/18 - CHIRURGIA GENERALEMedical Oncology030218 nuclear medicine & medical imagingCOLORECTAL-CANCER0302 clinical medicineADJUVANT CHEMOTHERAPYRectal cancerNeoadjuvant therapyRandomized Controlled Trials as TopicSettore MED/36 - DIAGNOSTICA PER IMMAGINI E RADIOTERAPIARadiology Nuclear Medicine & Medical ImagingChemoradiotherapyCytoreduction Surgical ProceduresHematologyMiddle AgedOPEN-LABELTotal mesorectal excisionNeoadjuvant TherapyOncology030220 oncology & carcinogenesisFemaleLife Sciences & Biomedicinemedicine.medical_specialtyOrgan preservationLOCAL RECURRENCEAreas of uncertaintiesCOURSE PREOPERATIVE RADIOTHERAPYAreas of uncertainties; Best practice guidelines; Colorectal cancer; Organ preservation; Personalized medicine;03 medical and health sciencesLow rectal cancerRADIATION-THERAPYmedicineHumansRadiology Nuclear Medicine and imagingMedical physicsEXTRAMURAL VASCULAR INVASIONNeoplasm StagingScience & TechnologyRectal Neoplasmsbusiness.industryTask forceAreas of uncertainties; Best practice guidelines; Colorectal cancer; Organ preservation; Personalized medicineTOTAL MESORECTAL EXCISIONRANDOMIZED PHASE-IIINEOADJUVANT CHEMORADIOTHERAPYmedicine.diseaseColorectal cancerPersonalized medicineClinical trialRadiation therapyPersonalized medicinebusiness
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Robust control of continuous-time systems with state-dependent uncertainties and its application to electronic circuits

2014

In this paper, the problems of robust stability and stabilization are investigated for a class of continuous-time uncertain systems. The uncertainties in the model are state-dependent and belong to a polytopic convex set, as can be found in many electronic circuits and some other applications. The global asymptotic stability conditions for such systems are first established by the classic common quadratic Lyapunov function approach. To reduce conservativeness, a particular class of nonquadratic parameter-dependent Lyapunov functions is introduced, by which improved robust stability conditions for the underlying systems are also derived. Based on the stability criteria, a static output feedb…

Lyapunov functionMathematical optimizationConvex setStability (learning theory)robust stabilitysymbols.namesakevectorsExponential stabilityControl theoryElectronic circuitsElectrical and Electronic EngineeringuncertaintyLyapunov methodsMathematicsLyapunov functionsComputer Science Applications1707 Computer Vision and Pattern RecognitionStability conditionsuncertain systemsControl and Systems Engineeringsymbolselectronic circuitsElectronic circuits; Lyapunov functions; polytopic uncertainties; robust stability; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringRobust controlrobust controlNetwork analysispolytopic uncertainties
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First-order linear differential equations whose data are complex random variables: Probabilistic solution and stability analysis via densities

2022

[EN] Random initial value problems to non-homogeneous first-order linear differential equations with complex coefficients are probabilistically solved by computing the first probability density of the solution. For the sake of generality, coefficients and initial condition are assumed to be absolutely continuous complex random variables with an arbitrary joint probability density function. The probability of stability, as well as the density of the equilibrium point, are explicitly determined. The Random Variable Transformation technique is extensively utilized to conduct the overall analysis. Several examples are included to illustrate all the theoretical findings.

Equilibrium pointcomplex differential equations with uncertaintiesuncertainty quantificationGeneral Mathematicsrandom modelsProbabilistic logicProbability density functionrandom variable transformation methodStability (probability)Transformation (function)Linear differential equationprobability density functionQA1-939Applied mathematicsInitial value problemMATEMATICA APLICADARandom variableMathematicsMathematicsAIMS Mathematics
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Parameters analysis influencing 3D measurement without contact by laser scanner to establish a local correction procedure

2007

International audience; The techniques of measuring without contact by laser scanning allows acquisition of a large number of points, at a very high rate speed ; nevertheless with less precision than the one obtained by classical techniques of measuring with contact. We present in this article the research and the experimental analysis of the influential parameters on the precision of the measure by laser sensor without contact. Firstly, a methodology of correction of the relative uncertainties in the conditions of the measuring laser is presented. Then, we apply it to a typical part and compare the results to those obtained by a classical procedure of measuring with a contact sensor. We fi…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]3D MetrologySensor without contactMeasuring uncertaintiesCorrection procedure[PHYS.MECA.GEME] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph][ PHYS.MECA.GEME ] Physics [physics]/Mechanics [physics]/Mechanical engineering [physics.class-ph][SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]
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Uncertainties and Risks in the Implementation of an E-Learning Information Systems Project in a Higher-Learning Environment: Viewpoints from Estonia

2005

This paper investigates the sorts of risks and uncertainties inherent in implementing an e-learning information systems project in Estonia. The study uses a variation of the Delphi study in eliciting the risk factors or items from experienced top management professionals within the organisation. The main objective of the study is to identify the uncertainties or risks in the implementation of the systems, using the viewpoint of Estonia, which is an emerging economy. The findings of the work indicate that wrong development strategy, staff volatility, change in top management and lack of funding are amongst the top risk factors in implementing e-learning in Estonia. On the other hand, risks …

Knowledge managementComputer Networks and Communicationsbusiness.industryLearning environmentInformation systemTop managementDelphi methodBusinessLibrary and Information SciencesE-learning risk uncertainties Delphi study information systems development EstoniaViewpointsEmerging marketsComputer Science ApplicationsJournal of Information & Knowledge Management
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Uncertainty in environmental and hydrological mathematical modelling

2012

The current state of knowledge regarding uncertainties in urban drainage models is poor. This is in part due to the lack of clarity in the way model uncertainty analyses are conducted and how the results are presented and used. There is a need for a common terminology and a conceptual framework for describing and estimating uncertainties in urban drainage models. Practical tools for the assessment of model uncertainties for a range of urban drainage models are also required to be developed. This paper, produced by the International Working Group on Data and Models, which works under the IWA/IAHR Joint Committee on Urban Drainage, is a contribution to the development of a harmonised framewor…

Calibration dataSettore ICAR/03 - Ingegneria Sanitaria-AmbientaleUncertaintieUrban drainage models; Uncertainties; Input data; Calibration data; Sensitivity analysisInput dataSensitivity analysisUrban drainage model
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Robust stabilisation of 2D state-delayed stochastic systems with randomly occurring uncertainties and nonlinearities

2013

This paper is concerned with the state feedback control problem for a class of two-dimensional (2D) discrete-time stochastic systems with time-delays, randomly occurring uncertainties and nonlinearities. Both the sector-like nonlinearities and the norm-bounded uncertainties enter into the system in random ways, and such randomly occurring uncertainties and nonlinearities obey certain mutually uncorrelated Bernoulli random binary distribution laws. Sufficient computationally tractable linear matrix inequality–based conditions are established for the 2D nonlinear stochastic time-delay systems to be asymptotically stable in the mean-square sense, and then the explicit expression of the desired…

Distribution (number theory)Linear matrix inequality (LMI)Linear matrix inequality2D stochastic systems; Linear matrix inequality (LMI); Randomly occurring nonlinearities; Randomly occurring uncertainties; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionBinary numberComputer Science Applications1707 Computer Vision and Pattern RecognitionExpression (computer science)Randomly occurring nonlinearitiesComputer Science ApplicationsTheoretical Computer ScienceNonlinear systemBernoulli's principleControl and Systems EngineeringControl theoryStability theory2D stochastic systemsRandomly occurring uncertaintiesMathematicsInternational Journal of Systems Science
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GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment

2019

Gravimetric methods are expected to play a decisive role in geophysical modeling of the regional crustal structure applied to geoneutrino studies. GIGJ (GOCE Inversion for Geoneutrinos at JUNO) is a 3D numerical model constituted by ~46 x 10$^{3}$ voxels of 50 x 50 x 0.1 km, built by inverting gravimetric data over the 6{\deg} x 4{\deg} area centered at the Jiangmen Underground Neutrino Observatory (JUNO) experiment, currently under construction in the Guangdong Province (China). The a-priori modeling is based on the adoption of deep seismic sounding profiles, receiver functions, teleseismic P-wave velocity models and Moho depth maps, according to their own accuracy and spatial resolution. …

010504 meteorology & atmospheric sciencesGeoneutrinogeophysical uncertaintieInverse transform samplingFOS: Physical sciences01 natural sciencesBayesian methodUpper middle and lower crustStandard deviationNOSouth China BlockmiddlePhysics - GeophysicsMonte Carlo stochastic optimizationGOCE data gravimetric inversionGeophysical uncertaintiesGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)Bayesian method; geophysical uncertainties; GOCE data gravimetric inversion; Monte Carlo stochastic optimization; South China Block; upper middle and lower crustImage resolution0105 earth and related environmental sciencesSubdivisionJiangmen Underground Neutrino Observatoryupper and middle and lower crustbusiness.industrySettore FIS/01 - Fisica SperimentaleCrustupperGeodesy[PHYS.PHYS.PHYS-GEN-PH]Physics [physics]/Physics [physics]/General Physics [physics.gen-ph]Geophysics (physics.geo-ph)and lower crustDepth soundingGeophysics13. Climate actionSpace and Planetary SciencebusinessGeologyBayesian method geophysical uncertainties GOCE data gravimetric inversion Monte Carlo stochastic optimization South China Blockupper and middle and lower crust
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