Search results for "QA75"

showing 10 items of 207 documents

Cognitive Mimetics for Designing Intelligent Technologies

2018

Design mimetics is an important method of creation in technology design. Here, we review design mimetics as a plausible approach to address the problem of how to design generally intelligent technology. We argue that design mimetics can be conceptually divided into three levels based on the source of imitation. Biomimetics focuses on the structural similarities between systems in nature and technical solutions for solving design problems. In robotics, the sensory-motor systems of humans and animals are a source of design solutions. At the highest level, we introduce the concept of cognitive mimetics, in which the source for imitation is human information processing. We review and discuss so…

Computer sciencemedia_common.quotation_subjectdesigningInteraction designlcsh:QA75.5-76.95050105 experimental psychology03 medical and health sciences0302 clinical medicineHuman–computer interactioncognitive mimetics0501 psychology and cognitive sciencesPattern matchingjäljittelymedia_commonDesign technologybusiness.industry05 social sciencesInformation processingRoboticsCognitionHuman-Computer Interactionintelligent technologiessuunnittelumimesiskognitiivinen jäljittelyälytekniikkalcsh:Electronic computers. Computer scienceArtificial intelligenceBiomimeticsbusinessImitation030217 neurology & neurosurgery
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mplicit Identification of Contact Parameters in a Continuous Chain Model

2011

Accurate contact modeling is of great importance in the field of dynamic chain simulations. In this paper emphasis is on contact dynamics for a time-domain simulation model of large chains guided in a closed loop track. The chain model is based on theory for unconstrained rigid multibody dynamics where contact within the chain and with the track is defined through continuous point contacts using the contact indentation and rate as means. This paper presents an implicit method to determine contact parameters of the chain model through the use of none gradient optimization methods. The set of model parameters are estimated by minimizing the residual between simulated and measured results. The…

Contact modelMathematical optimizationEngineeringbusiness.industryExperimental measurementsMultibody systemResiduallcsh:QA75.5-76.95Computer Science ApplicationsHysteresisChain (algebraic topology)Control and Systems EngineeringControl theoryModeling and SimulationIndentationDamping factorPoint (geometry)Contact dynamicslcsh:Electronic computers. Computer sciencebusinessOptimization methodsSoftwareModeling, Identification and Control: A Norwegian Research Bulletin
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Discrete Learning Control with Application to Hydraulic Actuators

2015

In this paper the robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. We present a simple learning algorithm and exhibit, via a concise proof, bounds on the asymptotic trajectory errors for the learned input and the corresponding state and output trajectories. Furthermore, these bounds are continuous functions of the bounds on the initial condition errors, state disturbance, and output noise, and the bounds are zero in the absence of these disturbances.

Control algorithmComputer scienceElectro-hydraulic actuatorlcsh:QA75.5-76.95Computer Science Applicationslaw.inventionControl and Systems EngineeringlawControl theoryRobustness (computer science)Modeling and SimulationInitial value problemDiscrete learning controllcsh:Electronic computers. Computer scienceActuatorSoftwareHydraulic actuatorsModeling, Identification and Control
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Computing Euclidean Steiner trees over segments

2020

In the classical Euclidean Steiner minimum tree (SMT) problem, we are given a set of points in the Euclidean plane and we are supposed to find the minimum length tree that connects all these points, allowing the addition of arbitrary additional points. We investigate the variant of the problem where the input is a set of line segments. We allow these segments to have length 0, i.e., they are points and hence we generalize the classical problem. Furthermore, they are allowed to intersect such that we can model polygonal input. As in the GeoSteiner approach of Juhl et al. (Math Program Comput 10(2):487–532, 2018) for the classical case, we use a two-phase approach where we construct a superse…

Control and OptimizationSelection (relational algebra)0211 other engineering and technologies02 engineering and technologySubset and supersetManagement Science and Operations ResearchSteiner tree problemComputational geometrySet (abstract data type)symbols.namesakeLine segment510 MathematicsEuclidean geometry021108 energyMathematicsDiscrete mathematicsT57-57.97021103 operations researchApplied mathematics. Quantitative methods510 MathematikQA75.5-76.95004 InformatikTree (graph theory)Computational MathematicsExact algorithmModeling and SimulationElectronic computers. Computer sciencesymbols004 Data processing
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Experimental System Identification and Black Box Modeling of Hydraulic Directional Control Valve

2015

Directional control valves play a large role in most hydraulic systems. When modeling the hydraulic systems, it is important that both the steady state and dynamic characteristics of the valves are modeled correctly to reproduce the dynamic characteristics of the entire system. In this paper, a proportional valve (Brevini HPV 41) is investigated to identify its dynamic and steady state characteristics. The steady state characteristics are identified by experimental flow curves. The dynamics are determined through frequency response analysis and identified using several transfer functions. The paper also presents a simulation model of the valve describing both steady state and dynamic charac…

Control valvesEngineeringFrequency response analysisSteady state (electronics)business.industryblack box modelingBrevini HPV41Transfer functionlcsh:QA75.5-76.95Computer Science ApplicationsDirectional control valveIdentification (information)Experimental systemControl and Systems EngineeringControl theoryModeling and SimulationBlack boxlcsh:Electronic computers. Computer scienceHydraulic machinerybusinessSoftwaresystem identificationModeling, Identification and Control
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Analysis of Offshore Knuckle Boom Crane - Part Two: Motion Control

2013

In this paper design of electro-hydraulic motion control systems for offshore knuckle boom cranes is discussed. The influence of the control valve bandwidth along with the ramp time for the control signal are investigated both analytically with simplified system models and numerically with an experimentally verified crane model. The results of both types of investigations are related to general design rules for selection of control valves and ramp times and the relevance of these design rules is discussed. Generally, they are useful but may be too conservative for offshore knuckle boom cranes. However, as demonstrated in the paper, the only proper way to determine this is to evaluate the mo…

Control valvessystem designbandwidthEngineeringBoomlcsh:QA75.5-76.95KnuckleControl theorymedicinebusiness.industrydirectional control valveBandwidth (signal processing)Structural engineeringMotion controlramp timeComputer Science ApplicationsHydraulic cranemedicine.anatomical_structureControl and Systems EngineeringModeling and SimulationControl signalSystems designSubmarine pipelinelcsh:Electronic computers. Computer sciencebusinessSoftwareModeling, Identification and Control
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A Playful Experiential Learning System With Educational Robotics

2020

This article reports on two studies that aimed to evaluate the effective impact of educational robotics in learning concepts related to Physics and Geography. The reported studies involved two courses from an upper secondary school and two courses from a lower secondary school. Upper secondary school classes studied topics of motion physics, and lower secondary school classes explored issues related to geography. In each grade, there was an “experimental group” that carried out their study using robotics and cooperative learning and a “control group” that studied the same concepts without robots. Students in both classes were subjected to tests before and after the robotics laboratory, to c…

Cooperative learninglcsh:Mechanical engineering and machineryplayful-based learningControl (management)MetacognitionExperiential learninggeographylcsh:QA75.5-76.95Artificial IntelligenceEducational roboticsComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationlcsh:TJ1-1570Original ResearchRobotics and AISecondary leveleducational roboticsbusiness.industryRoboticsComputer Science ApplicationsGeographyRobotlcsh:Electronic computers. Computer scienceArtificial intelligencebusinessmetacognitionphysicsFrontiers in Robotics and AI
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Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective

2018

Big data technologies are nowadays providing health care with powerful instruments to gather and analyze large volumes of heterogeneous data collected for different purposes, including clinical care, administration, and research. This makes possible to design IT infrastructures that favor the implementation of the so-called “Learning Healthcare System Cycle,” where healthcare practice and research are part of a unique and synergic process. In this paper we highlight how “Big Data enabled” integrated data collections may support clinical decision-making together with biomedical research. Two effective implementations are reported, concerning decision support in Diabetes and in Inherited Arrh…

Decision support systemProcess (engineering)Computer scienceBig datacomputer.software_genre01 natural sciencesClinical decision support systemlcsh:QA75.5-76.9503 medical and health sciences0302 clinical medicinebig datalcsh:AZ20-999Health care030212 general & internal medicine0101 mathematicsdata analyticsdata integrationImplementationbusiness.industry010102 general mathematicslearning health care cyclelcsh:History of scholarship and learning. The humanitiesData scienceData warehousedata warehouseslcsh:Electronic computers. Computer sciencebusinesscomputerData integrationFrontiers in Digital Humanities
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XML document-grammar comparison: related problems and applications

2011

10.2478/s13537-011-0005-1; International audience; XML document comparison is becoming an ever more popular research issue due to the increasingly abundant use of XML. Likewise, a growing interest fosters the development of XML grammar matching and comparison, due to the proliferation of heterogeneous XML data sources, particularly on the Web. Nonetheless, the process of comparing XML documents with XML grammars, i.e., XML document and grammar similarity evaluation, has not yet received the attention it deserves. In this paper, we provide an overview on existing research related to XML document/grammar comparison, presenting the background and discussing the various techniques related to th…

Document Structure DescriptionXML grammarXML Encryptionselective disseminationGeneral Computer ScienceComputer scienceEfficient XML Interchange[SCCO.COMP]Cognitive science/Computer scienceWell-formed document02 engineering and technologyWorld Wide WebXML Schema Editor[SCCO.COMP] Cognitive science/Computer science020204 information systemsStreaming XML0202 electrical engineering electronic engineering information engineeringPROCESSAMENTO DE IMAGENSXML schemacomputer.programming_languageInformation retrievalXSDgrammar evolutionXML validationstructural similarityQA75.5-76.95computer.file_formatXMLDTDclassificationElectronic computers. Computer science[ SCCO.COMP ] Cognitive science/Computer scienceComputingMethodologies_DOCUMENTANDTEXTPROCESSING020201 artificial intelligence & image processingsemi-structured datacomputerclusteringstructure transformation
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Chapter 4</br>Will our children have the chance to do research on today’s digital books?

2016

In this chapter, I will first position my considerations about the sustainability of ebooks for future research in the context of book history; moreover, I will introduce basic concepts of (migration and emulation) as well as challenges to the long-term preservation of digital data in greater generality. After that and taking current research on past (printed) books as an analogy, I shall try to outline which kinds of (digital) material will be indispensable in the future to do research on today's digital book production: published digital materials and unique (digital) artefacts. Finally, I shall present the results of my exemplary studies to find out which precautions for the future avail…

Ebooks traces ​of production conditions research long-term preservation unique artefacts published materialsGeneral Arts and Humanitiesmedia_common.quotation_subjectlcsh:AZ20-999General Social SciencesArt historylcsh:Electronic computers. Computer scienceArtlcsh:History of scholarship and learning. The humanitiesHumanitieslcsh:QA75.5-76.95Computer Science Applicationsmedia_commonDigital Studies/Le champ numérique
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