Search results for "Systems engineering"

showing 10 items of 1230 documents

Non-linear active disturbance rejection control for upper limb rehabilitation exoskeleton

2020

Trajectory tracking in upper limb rehabilitation exercises is utilized for repeatability of joint movement to improve the patient’s recovery in the early stages of rehabilitation. In this article, non-linear active disturbance rejection control as a combination of non-linear extended-state observer and non-linear state error feedback is used for the sinusoidal trajectory tracking control of the two-link model of an upper limb rehabilitation exoskeleton. The two links represent movements like flexion/extension for both the shoulder joint and the elbow joint in the sagittal plane. The Euler–Lagrange method was employed to acquire a dynamic model of an upper limb rehabilitation exoskeleton. T…

0209 industrial biotechnologymedicine.medical_specialtyRehabilitationComputer scienceMechanical Engineeringmedicine.medical_treatment020208 electrical & electronic engineering02 engineering and technologyActive disturbance rejection controlExoskeleton020901 industrial engineering & automationPhysical medicine and rehabilitationControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringmedicineTrajectoryUpper limb rehabilitationProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
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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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Dissipativity-Based Small-Gain Theorems for Stochastic Network Systems

2016

In this paper, some small-gain theorems are proposed for stochastic network systems which describe large-scale systems with interconnections, uncertainties and random disturbances. By the aid of conditional dissipativity and showing times of stochastic interval, small-gain conditions proposed for the deterministic case are extended to the stochastic case. When some design parameters are tunable in practice, we invaginate a simpler method to verify small-gain condition by selecting one subsystem as a monitor. Compared with the existing results, the existence-and-uniqueness of solution and ultimate uniform boundedness of input are removed from requirements of input-to-state stability and smal…

0209 industrial biotechnologystochastic systemsComputer Science Applications1707 Computer Vision and Pattern Recognition02 engineering and technologyInterval (mathematics)Stability (probability)Electronic mailComputer Science Applicationsinput-to-state stabilityDissipativity; input-to-state stability; network systems; stochastic systems; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringNonlinear system020901 industrial engineering & automationnetwork systemsControl and Systems EngineeringControl theoryControl system0202 electrical engineering electronic engineering information engineeringUniform boundedness020201 artificial intelligence & image processingStochastic optimizationElectrical and Electronic EngineeringDissipativityMathematicsIEEE Transactions on Automatic Control
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Hard material small-batch industrial machining robot

2018

Abstract Hard materials can be cost effectively machined with standard industrial robots by enhancing current state-of-the-art technologies. It is demonstrated that even hard metals with specific robotics-optimised novel hard-metal tools can be machined by standard industrial robots with an improved position-control approach and enhanced compliance-control functions. It also shows that the novel strategies to compensate for elastic robot errors, based on models and advanced control, as well as the utilisation of new affordable sensors and human-machine interfaces, can considerably improve the robot performance and applicability of robots in machining tasks. In conjunction with the developme…

0209 industrial biotechnologyta213RobotComputer scienceGeneral MathematicsSmall-batch02 engineering and technologyMachiningIndustrial and Manufacturing EngineeringManufacturing engineeringComputer Science ApplicationsHard metalsCompliance control020901 industrial engineering & automationMachiningControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringRobot020201 artificial intelligence & image processingIndustrialMotion planningPath planningSoftwareHMIRobotics and Computer-Integrated Manufacturing
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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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Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem

2011

We consider the problem of polling web pages as a strategy for monitoring the world wide web. The problem consists of repeatedly polling a selection of web pages so that changes that occur over time are detected. In particular, we consider the case where we are constrained to poll a maximum number of web pages per unit of time, and this constraint is typically dictated by the governing communication bandwidth, and by the speed limitations associated with the processing. Since only a fraction of the web pages can be polled within a given unit of time, the issue at stake is one of determining which web pages are to be polled, and we attempt to do it in a manner that maximizes the number of ch…

021103 operations researchTheoretical computer scienceLearning automataComputer scienceContinuous knapsack problem0211 other engineering and technologies02 engineering and technologyAutomatonArtificial IntelligenceControl and Systems EngineeringKnapsack problemWeb page0202 electrical engineering electronic engineering information engineeringResource allocation020201 artificial intelligence & image processingStochastic optimizationElectrical and Electronic EngineeringPollingEngineering Applications of Artificial Intelligence
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The ELECTRE I method to support the FMECA

2018

Abstract In traditional Failure Modes, Effects and Criticality Analysis (FMECA), risk priorities of failure modes are determined through the Risk Priority Number (RPN), which is a function of the three risk parameters Occurrence (O), Severity (S), and Detection (D). In the present paper, an alternative approach to RPN is proposed for the criticality assessment of system failure modes. Particularly, the Multi-Criteria Decision Making (MCDM) method ELECTRE I is proposed to select the most critical failure mode in the set of the failure modes charactering a complex system. The method has been applied to a case study previously proposed by Zammori and Gabrielli (2012).

021110 strategic defence & security studies021103 operations researchComputer science0211 other engineering and technologies02 engineering and technologyFunction (mathematics)Multiple-criteria decision analysisReliability engineeringSet (abstract data type)Failure mode effects and criticality analysisSystem failureControl and Systems EngineeringELECTREFailure mode and effects analysisIFAC-PapersOnLine
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Methodological Aspects of Infrared Thermography in Human Assessment

2016

Infrared thermography presents some important advantages in the determination of skin temperature, as it is a safe, non-invasive and non-contact technique with wide applications in the field of sports sciences. Like many others techniques, valid measurement in thermography requires following strict methodological steps from data acquisition to analyses and interpretation. In this chapter, we discuss the methodological aspects that must be taken into account when acquiring thermic images, along with some practical examples and recommendations based on the current literature.

03 medical and health sciences0302 clinical medicineData acquisitionComputer scienceThermographySystems engineeringSkin temperature030204 cardiovascular system & hematology030217 neurology & neurosurgeryField (computer science)Human assessment
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Low-energy Tests of Fundamental Physics

2018

This article presents a personal perspective on why it is interesting and important to test all kinds of fundamental laws and search for as-yet-undiscovered particles and interactions using laboratory-based non-accelerator techniques. Such room-scale experiments are already spearheading discovery, and can be expected to become even more important as accelerators reach seemingly inevitable limits.

0301 basic medicineComputer scienceGeography Planning and DevelopmentPerspective (graphical)010402 general chemistry01 natural sciences0104 chemical sciencesTest (assessment)03 medical and health sciences030104 developmental biologyLow energyPolitical Science and International RelationsFundamental physicsSystems engineeringEuropean Review
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Predictive shelf life model based on RF technology for improving the management of food supply chain: A case study

2016

The aim of this paper was the development of a Smart Logistic Unit (SLU) based on RF technology to support the management of the food supply chain, in order to guarantee the shelf life of products in agreement with logistic efficiency and system sustainability. For this purpose, the main parameters that influence the quality of perishable products were determined and a shelf life equation based on Volatile Organic Compounds (VOCs) was modelled. The levels of VOCs were gathered by the sensors allocated inside the SLU, which configures as the remote element of a system for identification and data transmission. The proposed model was then validated through an experimental test, simulating the …

0301 basic medicineEngineeringmedia_common.quotation_subject030106 microbiologyRF technologyShelf lifeIndustrial and Manufacturing EngineeringManagement Information Systems03 medical and health sciencesRf technologyManagement of Technology and InnovationFood supplySettore ING-IND/17 - Impianti Industriali Meccanici0502 economics and businessQuality (business)Electrical and Electronic Engineeringmedia_commonbusiness.industry05 social sciencesReliability engineeringIdentification (information)SustainabilitySystems engineeringbusiness050203 business & managementSettore AGR/16 - Microbiologia AgrariaData transmissionInternational Journal of RF Technologies
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