Search results for "Biotechnology"

showing 10 items of 5678 documents

Using the Analytic Hierarchy Process (AHP) in Evaluating the Decision of Moving to a Manufacturing Process Based Upon Continuous 5 Axes CNC Machine-t…

2016

Abstract This paper represents the second part of the work described in the paper with the title “Decision-making tool for moving from 3-axes to 5-axes CNC machine-tool”. The problem of using either 3 axes CNC machine-tools or 5 axes CNC machine tools was presented in the first part, together with a fuzzy logic based decision support tool. This time, an AHP approach is used in order to evaluate the decision of moving to a manufacturing process based upon 5 axes machine tools. Three variants were taken into consideration and analysed. The consistency of the proposed approach was evaluated and a sensitivity analysis was also introduced.

0209 industrial biotechnologyDecision support system5 axesbusiness.product_categoryComputer scienceAnalytic hierarchy processcosts02 engineering and technologyFuzzy logicanalytic hierarchy processevaluationConsistency (database systems)020901 industrial engineering & automationMachiningCNC machine-tool0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)General Environmental ScienceaccuracyIndustrial engineeringMachine tool3 axesNumerical controlGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingbusinessmachiningProcedia Computer Science
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Assembly Assistance System with Decision Trees and Ensemble Learning

2021

This paper presents different prediction methods based on decision tree and ensemble learning to suggest possible next assembly steps. The predictor is designed to be a component of a sensor-based assembly assistance system whose goal is to provide support via adaptive instructions, considering the assembly progress and, in the future, the estimation of user emotions during training. The assembly assistance station supports inexperienced manufacturing workers, but it can be useful in assisting experienced workers, too. The proposed predictors are evaluated on the data collected in experiments involving both trainees and manufacturing workers, as well as on a mixed dataset, and are compared …

0209 industrial biotechnologyDecision support systemComputer scienceDecision treetraining stations02 engineering and technologyTP1-1185Machine learningcomputer.software_genreBiochemistryArticleAnalytical Chemistry020901 industrial engineering & automationPrediction methodsComponent (UML)decision tree0202 electrical engineering electronic engineering information engineeringassembly assistance systemsElectrical and Electronic EngineeringInstrumentationbusiness.industryChemical technologyNoveltyContrast (statistics)Ensemble learningAtomic and Molecular Physics and Opticsensemble learning020201 artificial intelligence & image processingSupport systemArtificial intelligencebusinesscomputerdecision support systemsSensors
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The Advantage of Digital Decision Making for Strategic Decisions – Proofed by a Supply Chain Case

2017

This paper will discuss the advantage of decision making supported by a digital system and will provide an overview of an empiric analysis researched on this topic. Decision making in organizations is a significant system implied task of managers and therefore a broad area in scientific research, not only in the disciplines management or business studies – even from technical to humanistic disciplines. Nowadays the trend of digitalization captures all areas of life especially in business, as well as the typical management task of decision making. Triggered by the digitalization trend business will move toward an autonomous decision making of machines or cyber systems. The important step tow…

0209 industrial biotechnologyDecision support systemProcess managementComputer scienceProcess (engineering)media_common.quotation_subjectSupply chain02 engineering and technologyComputer-assisted web interviewing010501 environmental sciences01 natural sciencesBusiness studies020901 industrial engineering & automationCommerceBusiness caseFunction (engineering)Decision model0105 earth and related environmental sciencesmedia_commonINTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION
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Collaboration and Decision-Making in Context

2016

The goal of this chapter is to provide a historical account of the evolutions in the domain of the book and to set the stage for the concepts and solutions to be presented in the following chapters, including the introduction of the terminology adopted to be used throughout this text. Consequently, we aim at providing the answers to a series of questions, such as: (a) “How the organizations have been evolving over the last decades?”, (b) “Which have been the corresponding trends of the management and control schemes?”, (c) “How management and control functions are allocated to human and automation equipment?”, (d) “Which are the desirable properties of the information processing tools meant…

0209 industrial biotechnologyDecision support systemProcess managementComputer sciencebusiness.industry010401 analytical chemistryControl (management)Information processingContext (language use)02 engineering and technology01 natural sciencesAutomation0104 chemical sciencesTerminology020901 industrial engineering & automationSection (archaeology)businessDecision model
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Propulsion monitoring system for digitized ship management: Preliminary results from a case study

2020

Abstract The paradigm of Industry 4.0 a fundamental driver of innovation in marine industry, where the new digital era will see the development of smart cyber-ships equipped with advanced automation systems that will progressively evolve towards fully autonomous vessels. Although the journey towards such technological frontier has started, most companies operating in the maritime sector still appear un-prepared to face the future scenario. In the maritime sector, in fact, empirical models and oversimplified approaches are still largely employed for the management of fleet operations. There is thus the necessity of developing and providing operative models for digitized ship management, whic…

0209 industrial biotechnologyDecision support systemShip managementcontinuous engine monitoring systemsmart shipbusiness.industryDigital eraComputer scienceMonitoring systemContext (language use)02 engineering and technologyPropulsionIndustry 4.0AutomationGeneralLiterature_MISCELLANEOUSIndustrial and Manufacturing Engineering020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringRisk analysis (engineering)Artificial IntelligenceOrder (exchange)Settore ING-IND/17 - Impianti Industriali Meccanicibusiness
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Density Flow in Dynamical Networks via Mean-Field Games

2016

Current distributed routing control algorithms for dynamic networks model networks using the time evolution of density at network edges, while the routing control algorithm ensures edge density to converge to a Wardrop equilibrium, which was characterized by an equal traffic density on all used paths. We rearrange the density model to recast the problem within the framework of mean-field games. In doing that, we illustrate an extended state-space solution approach and we study the stochastic case where the density evolution is driven by a Brownian motion. Further, we investigate the case where the density evolution is perturbed by a bounded adversarial disturbance. For both the stochastic a…

0209 industrial biotechnologyDensity flowMathematical optimizationMarkov process02 engineering and technology01 natural sciencessymbols.namesake020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaRobustness (computer science)Applied mathematics0101 mathematicsElectrical and Electronic EngineeringBrownian motionMathematics010102 general mathematicsControl engineering decentralized control intelligent transportation systems traffic controlTime evolutionComputer Science ApplicationsMean field theoryControl and Systems EngineeringBounded functionRepeated gamesymbolsSettore MAT/09 - Ricerca OperativaIEEE Transactions on Automatic Control
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Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

2018

International audience; Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A standardized representation for BN models will aid in their communication and exchange across the web. This article presents an extension to the predictive model markup language (PMML) standard for the representation of a BN, which may consist of discrete variables, continuous variables, or their combination. The PMML standard is based on extensible markup language (XML) and used for the representation of analytical models…

0209 industrial biotechnologyDesignComputer sciencecomputer.internet_protocol02 engineering and technologycomputer.software_genreBayesian inferenceIndustrial and Manufacturing EngineeringArticle[SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineeringanalyticsUncertainty quantificationMonte-Carlouncertaintycomputer.programming_languageParsingBayesian networkInformationSystems_DATABASEMANAGEMENTstandardPython (programming language)XMLComputer Science ApplicationsmanufacturingComputingMethodologies_PATTERNRECOGNITIONBayesian networksControl and Systems EngineeringSurface-RoughnessData analysisPredictive Model Markup Language020201 artificial intelligence & image processingData miningcomputerXML
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Sliding solutions of second-order differential equations with discontinuous right-hand side

2017

We consider second-order ordinary differential equations with discontinuous right-hand side. We analyze the concept of solution of this kind of equations and determine analytical conditions that are satisfied by typical solutions. Moreover, the existence and uniqueness of solutions and sliding solutions are studied. Copyright © 2017 John Wiley & Sons, Ltd.

0209 industrial biotechnologyDifferential equationGeneral MathematicsGeneral Engineering02 engineering and technology01 natural sciences010305 fluids & plasmasSecond order differential equations020901 industrial engineering & automationLinear differential equationOrdinary differential equation0103 physical sciencesCalculusApplied mathematicsUniquenessMathematicsMathematical Methods in the Applied Sciences
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A Fractional-Order Control Approach to Ramp Tracking with Memory-Efficient Implementation

2020

We investigate the fractional-order (FO) control of arbitrary order LTI systems. We show that, for ramp tracking or input disturbance rejection, it is advantageous to include an FO integrator to the open-loop if we have to increase the order of integration further than one. With the lower phase-loss of the FO integrator it is easier to guarantee a desired phase margin. Furthermore the flat phase response around the crossover-frequency (iso-damping property) can be achieved for a wider frequency range such that the closed-loop is more robust wrt. amplitude and phase margins. The drawback of the FO approach is the increased implementation effort and the algebraic decay, which slows down the t…

0209 industrial biotechnologyDiscretizationComputer science05 social sciencesPhase margin02 engineering and technologyFilter (signal processing)050601 international relations0506 political science020901 industrial engineering & automationControl theoryIntegratorFrequency domainPhase responseFractional-order controlTransient response2020 IEEE 16th International Workshop on Advanced Motion Control (AMC)
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Disturbance observer-based disturbance attenuation control for a class of stochastic systems

2016

This paper studies a class of stochastic systems with multiple disturbances which include the disturbance with partially-known information and the white noise. A disturbance observer is constructed to estimate the disturbance with partially-known information, based on which, a disturbance observer-based disturbance attenuation control (DOBDAC) scheme is proposed by combining pole placement and linear matrix inequality (LMI) methods.

0209 industrial biotechnologyDisturbance (geology)Computer scienceAttenuation020208 electrical & electronic engineeringControl (management)Disturbance observer-based disturbance attenuation controlStochastic systemLinear matrix inequalityDisturbance observer-based disturbance attenuation control; Multiple disturbances; Stochastic system; Control and Systems Engineering; Electrical and Electronic Engineering02 engineering and technologyWhite noiseClass (biology)020901 industrial engineering & automationControl and Systems EngineeringControl theoryFull state feedbackDisturbance observer0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringMultiple disturbancesAutomatica
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