Search results for "Forma"

showing 10 items of 34540 documents

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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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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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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Detection of algorithmically generated malicious domain names using masked N-grams

2019

Abstract Malware detection is a challenge that has increased in complexity in the last few years. A widely adopted strategy is to detect malware by means of analyzing network traffic, capturing the communications with their command and control (C&C) servers. However, some malware families have shifted to a stealthier communication strategy, since anti-malware companies maintain blacklists of known malicious locations. Instead of using static IP addresses or domain names, they algorithmically generate domain names that may host their C&C servers. Hence, blacklist approaches become ineffective since the number of domain names to block is large and varies from time to time. In this paper, we i…

0209 industrial biotechnologyDomain generation algorithmComputer scienceGeneral Engineering02 engineering and technologycomputer.software_genreBlacklistComputer Science ApplicationsRandom forestDomain (software engineering)020901 industrial engineering & automationArtificial IntelligenceServer0202 electrical engineering electronic engineering information engineeringMalware020201 artificial intelligence & image processingData miningcomputerHost (network)Block (data storage)Expert Systems with Applications
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Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda

2019

Despite all efforts like the introduction of new training methods and personal protective equipment, the need to reduce the number of First Responders (FRs) fatalities and injuries remains. Reports show that advances in technology have not yet resulted in protecting FRs from injuries, health impacts, and odorless toxic gases effectively. Currently, there are emerging technologies that can be exploited and applied in emergency management settings to improve FRs protection. The aim of this paper is threefold: First, to conduct scenario analysis and situations that currently threat the first responders. Second, to conduct gap analysis concerning the new technology needs in relations to the pro…

0209 industrial biotechnologyEmerging technologies02 engineering and technologyGap analysis020901 industrial engineering & automationSDG 3 - Good Health and Well-beingHazardous waste0202 electrical engineering electronic engineering information engineeringHazardous materialsScenario analysisPersonal protective equipmentFirst respondersEmergency managementbusiness.industrySDG 8 - Decent Work and Economic GrowthTraining methodsDisaster response/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growthEmergency managementAngewandte KognitionswissenschaftInformatikRisk analysis (engineering)Emerging technologies/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being020201 artificial intelligence & image processingbusinessEngineering Applications of Neural Networks
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Mobile manipulator performance measurement towards manufacturing assembly tasks

2016

Mobile manipulator performance measurement research is relatively minimal as compared to that of robot arms. Measurement methods, such as optical tracking systems, are useful for measuring the performance of mobile manipulators, although at a much higher relative cost as compared to artifacts. The concept of using test artifacts demonstrates to potential manufacturers and users of mobile manipulator systems that relatively low cost performance measurement methods exist. This paper discusses the concept of reconfigurable mobile manipulator artifacts that were designed and built. An artifact was then used through experimentation to measure the performance of a mobile manipulator to demonstrat…

0209 industrial biotechnologyEngineering02 engineering and technologyArtifact (software development)Ground trutharti- facts01 natural sciences010309 optics020901 industrial engineering & automation0103 physical sciencesPerformance measurement[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Performance measurementSimulationMobile manipulatorGround truthMeasure (data warehouse)Measurement methodMobile manipulatorbusiness.industry[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]performance measurementTest methodRobotmobile manipulatorbusinessArtifactsground truthASTM F45
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Improving the Effectiveness in Research and Developments Department from Automotive Industry

2019

Abstract The scope of this paper is to propose a solution for decreasing the rework that has to be made inside a team, in a new offshore Research and Development department, mainly because of assumptions and lack of experience. This is based on learning and applying the lessons learned. First, it will be presented an order assignment in an offshore branch in the field of automotive software companies. From the concept, further on, the usual process that takes place is presented and the potential flaws are analyzed. The major problems identified are random allocation of the orders and assumptions that are made in the branch offices. After inspecting the steps of the process, a model of proce…

0209 industrial biotechnologyEngineering020901 industrial engineering & automationGeneral interestbusiness.industry0202 electrical engineering electronic engineering information engineeringAutomotive industry020201 artificial intelligence & image processing02 engineering and technologybusinessManufacturing engineeringBalkan Region Conference on Engineering and Business Education
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Neural modelling of friction material cold performance

2008

The complex and highly non-linear phenomena involved during braking are primarily caused by friction materials’ characteristics. The final friction materials' characteristics are determined by their compositions, manufacturing, and the brake's operating conditions. Analytical models of friction materials' behaviour are difficult, even impossible, to obtain for the case of different brakes' operating conditions. That is why, in this paper, all relevant influences on the friction materials' cold performance have been integrated by means of artificial neural networks. The influences of 26 input parameters, defined by the friction materials' composition (18 ingredients), manufacturing (five pa…

0209 industrial biotechnologyEngineeringArtificial neural networkBar (music)business.industryMechanical EngineeringAerospace Engineering02 engineering and technology020303 mechanical engineering & transports020901 industrial engineering & automationneural modelling friction material cold performance0203 mechanical engineeringControl theoryBrakeRange (statistics)businessSimulationProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
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Quasi-Static Displacement Self-Sensing Measurement for a 2-DOF Piezoelectric Cantilevered Actuator

2017

This paper proposes a self-sensing measurement technique to perform the precise estimation of the displacements along two axes in a two-degrees-of-freedom (2-DOF) piezoelectric actuator. For that, a new electrical circuit scheme that permits charge amplification is first proposed to match the different electrodes combination of the 2-DOF actuator. Then, a new bivariable observer that precisely estimates the displacements is calculated and implemented experimentally in a cascade with the electrical circuit to complete the self-sensing. The experimental tests and results verification with external sensors revealed that the measured displacements given by the developed self-sensing measurement…

0209 industrial biotechnologyEngineeringCantileverObserver (quantum physics)business.industry020208 electrical & electronic engineering02 engineering and technologyPiezoelectricityDisplacement (vector)law.invention020901 industrial engineering & automationControl and Systems EngineeringlawCascadeControl theoryElectrical network0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringActuatorbusinessQuasistatic processIEEE Transactions on Industrial Electronics
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Robust control for high performance induction motor drives based on partial state-feedback linearization

2019

This paper deals with a robust input-output feedback linearization control technique for induction motors. Indeed, classic feedback linearization presents two main disadvantages: 1) the accuracy of the dynamic model; and 2) the corresponding correct knowledge of the model parameters. To address this issue, the linear controller has been substituted with a suitably controller designed to be robust to the variations of the main parameters of the induction motor, like stator and rotor resistances, and the three-phase magnetizing inductance. The proposed controller has been tested both in numerical simulation and experimentally on a suitably designed test setup. Moreover, it has been compared w…

0209 industrial biotechnologyEngineeringComputer scienceStator020209 energy02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theorylawLinearizationRobustness (computer science)0202 electrical engineering electronic engineering information engineeringTorqueFeedback linearizationElectrical and Electronic EngineeringInduction motorfeedback linearizationComputer simulationbusiness.industry020208 electrical & electronic engineeringControl engineeringPartial state feedbackMagnetic coreControl and Systems Engineeringrobust control.Feedback linearization (FL)Robust controlbusinessInduction motorrobust control
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