Search results for "ARIA"

showing 10 items of 17848 documents

Leveraging Partnerships with Logistics Service Providers in Humanitarian Supply Chains by Blockchain-based Smart Contracts

2019

As humanitarian organizations are struggling to reach an increasing number of beneficiaries, humanitarian-business partnerships, such as the use of logistics service providers (LSPs), promise to improve effectivity and efficiency of humanitarian assistance. Blockchain-based smart contracts which ensure automation, transparency, and efficiency promise to facilitate partnerships, particularly if trust is low. In this paper, blockchain-based smart contracts are critically examined for their application to humanitarian supply chains (HSCs). We identify various adoption barriers which we categorize into organizational, technological, and environmental. As the use of blockchain-based smart contra…

0209 industrial biotechnologyPartnershipsProcess managementBlockchainSupply chain020208 electrical & electronic engineeringComputerApplications_COMPUTERSINOTHERSYSTEMS02 engineering and technologyService providerTransparency (behavior)Humanitarian supply chain020901 industrial engineering & automationBlockchainControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringLogistics service providersBusinessSmart contractsProceedings of IFAC MIM 2019
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Periodic Controls in Step 2 Strictly Convex Sub-Finsler Problems

2020

We consider control-linear left-invariant time-optimal problems on step 2 Carnot groups with a strictly convex set of control parameters (in particular, sub-Finsler problems). We describe all Casimirs linear in momenta on the dual of the Lie algebra. In the case of rank 3 Lie groups we describe the symplectic foliation on the dual of the Lie algebra. On this basis we show that extremal controls are either constant or periodic. Some related results for other Carnot groups are presented. peerReviewed

0209 industrial biotechnologyPure mathematicsRank (linear algebra)variaatiolaskenta02 engineering and technology01 natural sciencesdifferentiaaligeometriaoptimal controlsymbols.namesake020901 industrial engineering & automationMathematics (miscellaneous)sub-Finsler geometryPontryagin maximum principleLie algebra0101 mathematicsMathematicsLie groups010102 general mathematicsLie groupBasis (universal algebra)matemaattinen optimointiFoliationsäätöteoriasymbolsCarnot cycleConvex functionSymplectic geometryRegular and Chaotic Dynamics
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Iterated greedy with variable neighborhood search for a multiobjective waste collection problem

2020

Abstract In the last few years, the application of decision making to logistic problems has become crucial for public and private organizations. Efficient decisions clearly contribute to improve operational aspects such as cost reduction or service improvement. The particular case of waste collection service considered in this paper involves a set of economic, labor and environmental issues that translate into difficult operational problems. They pose a challenge to nowadays optimization technologies since they have multiple constraints and multiple objectives that may be in conflict. We therefore need to resort to multiobjective approaches to model and solve this problem, providing efficie…

0209 industrial biotechnologyService (systems architecture)Mathematical optimizationComputer sciencemedia_common.quotation_subjectGeneral EngineeringWaste collection02 engineering and technologyMulti-objective optimizationComputer Science ApplicationsSet (abstract data type)020901 industrial engineering & automationArtificial Intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingIterated greedyFunction (engineering)Variable neighborhood searchmedia_commonExpert Systems with Applications
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Scale invariant line matching on the sphere

2013

International audience; This paper proposes a novel approach of line matching across images captured by different types of cameras, from perspective to omnidirectional ones. Based on the spherical mapping, this method utilizes spherical SIFT point features to boost line matching and searches line correspondences using an affine invariant measure of similarity. It permits to unify the commonest cameras and to process heterogeneous images with the least distortion of visual information.

0209 industrial biotechnologySimilarity (geometry)[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingmobile roboticComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformTime to contactmobile robotic.02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingMeasure (mathematics)obstacle avoidance020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingomnidirectional visionDistortion0202 electrical engineering electronic engineering information engineeringPoint (geometry)Computer visionCollision detectioncollision detectionMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryPerspective (graphical)Computer Science::Computer Vision and Pattern RecognitionLine (geometry)020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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Crowd-Averse Robust Mean-Field Games: Approximation via State Space Extension

2016

We consider a population of dynamic agents, also referred to as players. The state of each player evolves according to a linear stochastic differential equation driven by a Brownian motion and under the influence of a control and an adversarial disturbance. Every player minimizes a cost functional which involves quadratic terms on state and control plus a cross-coupling mean-field term measuring the congestion resulting from the collective behavior, which motivates the term “crowd-averse.” Motivations for this model are analyzed and discussed in three main contexts: a stock market application, a production engineering example, and a dynamic demand management problem in power systems. For th…

0209 industrial biotechnologyStochastic stabilityMathematical optimizationCollective behaviorTechnologyComputer sciencePopulationcontrol designcrowd-averse robust mean-field games state space extension dynamic agents linear stochastic differential equation Brownian motion adversarial disturbance cost functional cross-coupling mean-field term collective behavior stock market application production engineering example dynamic demand management problem robust mean-field game approximation error stochastic stability microscopic dynamics macroscopic dynamicscontrol engineering02 engineering and technology01 natural sciencesStochastic differential equationoptimal control020901 industrial engineering & automationQuadratic equationAutomation & Control SystemsEngineeringClosed loop systemsSettore ING-INF/04 - AutomaticaApproximation errorRobustness (computer science)Control theory0102 Applied MathematicsState space0101 mathematicsElectrical and Electronic EngineeringeducationBrownian motioneducation.field_of_studyScience & TechnologyStochastic process010102 general mathematicsRelaxation (iterative method)Engineering Electrical & ElectronicOptimal controlComputer Science Applications0906 Electrical and Electronic EngineeringIndustrial Engineering & AutomationMean field theoryControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa0913 Mechanical Engineering
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On stability of linear dynamic systems with hysteresis feedback

2020

The stability of linear dynamic systems with hysteresis in feedback is considered. While the absolute stability for memoryless nonlinearities (known as Lure's problem) can be proved by the well-known circle criterion, the multivalued rate-independent hysteresis poses significant challenges for feedback systems, especially for proof of convergence to an equilibrium state correspondingly set. The dissipative behavior of clockwise input-output hysteresis is considered with two boundary cases of energy losses at reversal cycles. For upper boundary cases of maximal (parallelogram shape) hysteresis loop, an equivalent transformation of the closed-loop system is provided. This allows for the appli…

0209 industrial biotechnologyThermodynamic equilibriumApplied Mathematics020208 electrical & electronic engineeringMathematical analysis02 engineering and technologySystems and Control (eess.SY)Invariant (physics)Electrical Engineering and Systems Science - Systems and ControlVDP::Mathematics and natural scienses: 400Nonlinear systemHysteresis020901 industrial engineering & automationModeling and Simulation0202 electrical engineering electronic engineering information engineeringDissipative systemFOS: Electrical engineering electronic engineering information engineeringCircle criterionParallelogramVDP::Matematikk og naturvitenskap: 400Harmonic oscillatorMathematics
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Global sensitivity analysis in welding simulations -- what are the material data you really need ?

2011

In this paper, the sensitivity analysis methodology is applied to numerical welding simulation in order to rank the importance of input variables on the outputs of the code like distorsions or residual stresses. The numerical welding simulation uses the finite element method, with a thermal computation followed by a mechanical one. Classically, a local sensitivity analysis is performed, hence the validity of the results is limited to the neighbourhood of a nominal point, and cross effects cannot be detected. This study implements a global sensitivity analysis which allows to screen the whole material space of the steel family mechanical properties. A set of inputs of the mechanical model-ma…

0209 industrial biotechnology[ SPI.MECA.STRU ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]02 engineering and technologyWeldingFinite Element[ PHYS.MECA.STRU ] Physics [physics]/Mechanics [physics]/Mechanics of the structures [physics.class-ph]law.invention020901 industrial engineering & automation[PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]0203 mechanical engineeringlawPoint (geometry)Sensitivity (control systems)numerical experimentsMathematicsApplied MathematicsGeneral EngineeringSampling (statistics)Computer Graphics and Computer-Aided DesignFinite element method[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]welding simulation020303 mechanical engineering & transportsLatin hypercube samplingRanking[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]Variance-based sensitivity analysisAlgorithmAnalysis
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VARIABLE SELECTION FOR NOISY DATA APPLIED IN PROTEOMICS

2014

International audience; The paper proposes a variable selection method for pro-teomics. It aims at selecting, among a set of proteins, those (named biomarkers) which enable to discriminate between two groups of individuals (healthy and pathological). To this end, data is available for a cohort of individuals: the biological state and a measurement of concentrations for a list of proteins. The proposed approach is based on a Bayesian hierarchical model for the dependencies between biological and instrumental variables. The optimal selection function minimizes the Bayesian risk, that is to say the selected set of variables maximizes the posterior probability. The two main contributions are: (…

0209 industrial biotechnologybusiness.industryComputer scienceInstrumental variablePosterior probabilityBayesian probabilityPattern recognitionFeature selection02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingLogistic regression01 natural sciences010104 statistics & probability020901 industrial engineering & automationCohortProbability distributionBayesian hierarchical modelingArtificial intelligence0101 mathematicsbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSelection (genetic algorithm)[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Care Workers’ Readiness for Robotization : Identifying Psychological and Socio-Demographic Determinants

2020

Successful implementation of robots in welfare services requires that the staff approves of them as a part of daily work tasks. In this study, we identified psychological and socio-demographic determinants associated with readiness for robotization among professional Finnish care-workers. National survey data were collected from professional care workers (n = 3800) between October and November 2016. Random samples were drawn from the member registers of two Finnish trade unions. The data were analyzed with regression models for respondents with and without firsthand experience with robots. The models explained 34–39% of the variance in the readiness for robotization. The readiness was posit…

0209 industrial biotechnologyminäpystyvyyscare workSosiologia - SociologymuutosvalmiusApplied psychology02 engineering and technologySosiaali- ja yhteiskuntapolitiikka - Social policy020901 industrial engineering & automationsosiaalinen normihoivatyösocial norms050107 human factorsmedia_common05 social sciencesVariance (accounting)terveydenhuoltohenkilöstö5144 Social psychologysurgical procedures operativeWork (electrical)8. Economic growthJob satisfactionCare workPsychologyself-efficacyGeneral Computer ScienceSocial Psychologymedia_common.quotation_subjectchange readinessControl (management)nursetechnological changesosiaaliset normitomatoimisuussairaanhoitajatrobotisaatiovalmius0501 psychology and cognitive sciencesElectrical and Electronic EngineeringSelf-efficacyComputingMilieux_THECOMPUTINGPROFESSIONPsykologia - Psychologytechnology industry and agricultureteknologinen kehitysHuman-Computer Interactionbody regionsPhilosophyControl and Systems EngineeringlähihoitajatrobotitSurvey data collectionhoitajaWelfarehuman activitieshoitotyö
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A model for torque losses in variable displacement axial piston motors

2018

This paper includes a comparison of earlier presented models for torque losses in hydraulic motors and several proposed models that all rely on data typically available for a system engineer. The new models and the old ones are compared. The new models are all based on a model developed by Jeong 2007 with an expansion that include variable displacement. All of the new models yield very good accuracy down to approximately 50% of maximum displacement and down to approximately 15% of maximum speed. In these operational ranges the deviation in torque is less than 1%. The main purpose of the new models is to facilitate simulations of hydraulically actuated winches with a balance between accuracy…

0209 industrial biotechnologytorque loss020208 electrical & electronic engineeringHydraulics02 engineering and technologyMechanicsVariable displacementlcsh:QA75.5-76.95Computer Science Applicationslaw.inventionPiston020901 industrial engineering & automationBosch RexrothControl and Systems EngineeringlawModeling and Simulationaxial piston motor0202 electrical engineering electronic engineering information engineeringTorquewinch drivelcsh:Electronic computers. Computer scienceoffshore knuckle boom cranesSoftwareGeologyModeling, Identification and Control
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