Search results for "E. Mach"

showing 10 items of 93 documents

Adaptive Feedforward Control of a Pressure Compensated Differential Cylinder

2020

This paper presents the design, simulation and experimental verification of adaptive feedforward motion control for a hydraulic differential cylinder. The proposed solution is implemented on a hydraulic loader crane. Based on common adaptation methods, a typical electro-hydraulic motion control system has been extended with a novel adaptive feedforward controller that has two separate feedforward states, i.e, one for each direction of motion. Simulations show convergence of the feedforward states, as well as 23% reduction in root mean square (RMS) cylinder position error compared to a fixed gain feedforward controller. The experiments show an even more pronounced advantage of the proposed c…

0209 industrial biotechnologyAdaptive controlFluid PowerComputer sciencemotion controlComputer Science::Neural and Evolutionary Computationhydraulicsdifferential cylinder02 engineering and technologyAdaptiv reguleringadaptive controllcsh:TechnologyRoot mean squarelcsh:Chemistry020901 industrial engineering & automationControl theoryConvergence (routing)feedforwardCylinderGeneral Materials ScienceVDP::Andre maskinfag: 579Instrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processeslcsh:TProcess Chemistry and TechnologyGeneral EngineeringFeed forwardVDP::Other machinery sciences: 579021001 nanoscience & nanotechnologyMotion controllcsh:QC1-999BevegelsesstyringComputer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Hydraulikk0210 nano-technologyReduction (mathematics)lcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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Accelerated bearing life-Time test rig development for low speed data acquisition

2017

Condition monitoring plays an important role in rotating machinery to ensure reliability of the equipment, and to detect fault conditions at an early stage. Although health monitoring methodologies have been thoroughly developed for rotating machinery, low-speed conditions often pose a challenge due to the low signal-to-noise ratio. To this aim, sophisticated algorithms that reduce noise and highlight the bearing faults are necessary to accurately diagnose machines undergoing this condition. In the development phase, sensor data from a healthy and damaged bearing rotating at low-speed is required to verify the performance of such algorithms. A test rig for performing accelerated life-time t…

0209 industrial biotechnologyComputer scienceCondition monitoring and bearing and low-speed machinery and fault diagnosis and test rig; Software; Control and Systems Engineering; Modeling and Simulation; Computer Science Applications1707 Computer Vision and Pattern RecognitionTest rig02 engineering and technologyLow-speed Machinerylcsh:QA75.5-76.95Automotive engineeringlaw.inventionModeling and simulationTest Rig020901 industrial engineering & automationData acquisitionSoftwarelaw0202 electrical engineering electronic engineering information engineeringBearing (mechanical)business.industryCondition monitoring and bearing and low-speed machinery and fault diagnosis and test rig020208 electrical & electronic engineeringLife timeComputer Science Applications1707 Computer Vision and Pattern RecognitionFault DiagnosisComputer Science ApplicationsLow speedControl and Systems EngineeringEmbedded systemModeling and SimulationBearinglcsh:Electronic computers. Computer sciencebusinessCondition MonitoringSoftware
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Intelligent agents for feature modelling in computer aided design

2017

Abstract CAD modelling can be referred to as the process of generating an integrated multiple view model as a representation of multiple views of engineering design. In many situations, a change in the model of one view may conflict with the models of other views. In such situations, the model of some views needs to be adapted in order to make all models consistent. Thus, CAD models should be capable of adapting themselves to new situations. Recently, agent based technologies have been considered in order to increase both knowledge level and intelligence of real and virtual objects. The contribution of this paper consists in introducing the intelligent agents in intelligent CAD modelling. T…

0209 industrial biotechnologyProcess (engineering)Computer scienceIntelligent agentsComputational MechanicsContext (language use)CAD02 engineering and technologycomputer.software_genre[SHS]Humanities and Social SciencesIntelligent agentIntelligent features020901 industrial engineering & automationRule-based machine translationHuman–computer interactionlcsh:TA1740202 electrical engineering electronic engineering information engineeringRepresentation (mathematics)Engineering (miscellaneous)ComputingMilieux_MISCELLANEOUSFeature recognitionlcsh:Engineering designComputer Graphics and Computer-Aided DesignGeometric knowledgeFeature recognitionHuman-Computer InteractionComputational MathematicsModeling and SimulationCAD modelling020201 artificial intelligence & image processingEngineering design processcomputerEmerged agentJournal of Computational Design and Engineering
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The Metabolic Building Blocks of a Minimal Cell

2020

This article belongs to the Section Evolutionary Biology.

0301 basic medicineMinimal gene set machineryMetabolic networkBacterial genome sizeComputational biologyMetabolic networksBiologyGenomeGeneral Biochemistry Genetics and Molecular BiologyArticle03 medical and health sciences0302 clinical medicineminimal gene set machinerylcsh:QH301-705.5Nasuia deltocephalinicolaGeneral Immunology and Microbiologydirected acyclic graphsDirected acyclic graphDirected acyclic graphs030104 developmental biologylcsh:Biology (General)Essential geneminimal cellsMinimal cellsCore (graph theory)metabolic networksGraph (abstract data type)General Agricultural and Biological Sciences030217 neurology & neurosurgeryBiology
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Evaluation of tumor immune contexture among intrinsic molecular subtypes helps to predict outcome in early breast cancer

2021

BackgroundThe prognosis of early breast cancer is linked to clinic-pathological stage and the molecular characteristics of intrinsic tumor cells. In some patients, the amount and quality of tumor-infiltrating immune cells appear to affect long term outcome. We aimed to propose a new tool to estimate immune infiltrate, and link these factors to patient prognosis according to breast cancer molecular subtypes.MethodsWe performed in silico analyses in more than 2800 early breast cancer transcriptomes with corresponding clinical annotations. We first developed a new gene expression deconvolution algorithm that accurately estimates the quantity of immune cell populations (tumor immune contexture,…

0301 basic medicineOncologyCancer Researchmedicine.medical_specialtyMyeloid2435In silicoImmunologyCellbiostatisticsBreast NeoplasmsTranscriptome03 medical and health sciences0302 clinical medicineBreast cancerImmune systemLymphocytes Tumor-InfiltratingInternal medicinemedicineBiomarkers TumorImmunology and Allergytumor microenvironmentHumans1506Stage (cooking)RC254-282Neoplasm StagingPharmacologyClinical/Translational Cancer ImmunotherapyTumor microenvironmentbusiness.industryGene Expression ProfilingNeoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseasePrognosisSurvival AnalysisGene Expression Regulation Neoplastic030104 developmental biologymedicine.anatomical_structureOncology030220 oncology & carcinogenesistumor biomarkersMolecular MedicineFemalebusinessAlgorithmsUnsupervised Machine LearningJournal for Immunotherapy of Cancer
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Identification of novel compounds against three targets of SARS CoV-2 coronavirus by combined virtual screening and supervised machine learning.

2021

Coronavirus disease 2019 (COVID-19) is a major threat worldwide due to its fast spreading. As yet, there are no established drugs available. Speeding up drug discovery is urgently required. We applied a workflow of combined in silico methods (virtual drug screening, molecular docking and supervised machine learning algorithms) to identify novel drug candidates against COVID-19. We constructed chemical libraries consisting of FDA-approved drugs for drug repositioning and of natural compound datasets from literature mining and the ZINC database to select compounds interacting with SARS-CoV-2 target proteins (spike protein, nucleocapsid protein, and 2′-o-ribose methyltransferase). Supported by…

0301 basic medicineSimeprevirArtificial intelligencevirusesMERS Middle East Respiratory SyndromeHealth InformaticsBiologyMachine learningcomputer.software_genremedicine.disease_causeAntiviral AgentsArticleWHO World Health OrganizationAUC area under the curve03 medical and health sciences0302 clinical medicinessRNA single-stranded RNA virusmedicineChemotherapyHumansSARS severe acute respiratory syndromeCOVID-19 coronavirus disease 2019CoronavirusNatural productsVirtual screeningACE2 angiotensin converting enzyme 2Drug discoverybusiness.industrySARS-CoV-2COVID-19LBE lowest binding energyFDA Food and Drug AdministrationROC receiver operating characteristicComputer Science ApplicationsHIV human immunodeficiency virusMolecular Docking SimulationDrug repositioning030104 developmental biologyDrug developmentSevere acute respiratory syndrome-related coronavirusParitaprevirInfectious diseasesRespiratory virusArtificial intelligenceSupervised Machine Learningbusinesscomputer030217 neurology & neurosurgeryComputers in biology and medicine
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Paving the way for synthetic biology-based bioremediation in Europe

2009

Synthetic biology (SB) has a dual definition. It is both the design and construction of new biological parts, devices and systems, and also the re‐design of existing, natural systems for useful purposes. The latter field is maybe one of the major challenges within this discipline, since the promising prospect that biological systems may be used as biomachines will certainly be exploited in the near future. Synthetic biology has challenging conceptual possibilities (Moya et al., 2009a) and impressive progress has already been made in biotechnology following SB approaches (de Lorenzo and Danchin, 2008). Much more is expected in the near future from current efforts aiming to make synthetic gen…

0303 health sciencesInternational Genetically Engineered Machinebusiness.industryComputer science0206 medical engineeringBioengineeringEnvironmental pollutionContext (language use)02 engineering and technologyPublic opinionApplied Microbiology and BiotechnologyBiochemistryBiotechnologyLiving systemsCritical mass (sociodynamics)03 medical and health sciencesSynthetic biologyConceptual frameworkEngineering ethicsbusiness020602 bioinformatics030304 developmental biologyBiotechnologyMicrobial Biotechnology
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Models of the Translation Process

2017

060201 languages & linguistics030504 nursingMachine translationProcess (engineering)business.industryComputer science06 humanities and the artsTransfer-based machine translationcomputer.software_genreKeystroke loggingTranslation (geometry)Communication theory03 medical and health sciences0602 languages and literatureEye trackingArtificial intelligenceComputational linguistics0305 other medical sciencebusinesscomputerNatural language processingThe Handbook of Translation and Cognition
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Distributed channel prediction for multi-agent systems

2017

Los sistemas multiagente (MAS) se comunican a través de una red inalámbrica para coordinar sus acciones e informar sobre el estado de su misión. La conectividad y el rendimiento del sistema pueden mejorarse mediante la predicción de la ganancia del canal. Presentamos un esquema basado en regresión de procesos gaussianos (GPR) distribuidos para predecir el canal inalámbrico en términos de la potencia recibida en el MAS. El esquema combina una máquina de comité bayesiano con un esquema de consenso medio, distribuyendo así no sólo la memoria sino también la carga computacional y de comunicación. A través de simulaciones de Monte Carlo, demostramos el rendimiento del GPR propuesto. RACHEL TEC20…

:CIENCIAS TECNOLÓGICAS [UNESCO]Wireless networkComputer sciencebusiness.industryDistributed computingMulti-agent systemMonte Carlo method020206 networking & telecommunicationsBayesian committee machine02 engineering and technologyUNESCO::CIENCIAS TECNOLÓGICASKriging0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingmulti-agent systemsbusinessgaussian process regressionSimulationCommunication channelaverage consensus scheme
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La Inhibición Pre-pulso como marcador psicofisiológico de la sensibilidad a los efectos reforzantes de la cocaína en ratones machos y hembras.

2015

La adicción a la cocaína se caracteriza por una persistente y alta susceptibilidad a la recaída, y hasta el momento, no existe ninguna terapia, ni psicológica ni farmacológica, eficaz para su tratamiento por lo que la prevención, tanto en el inicio del consumo como en la recaída, es un objetivo prioritario. El presente trabajo valora el endofenotipo de la Inhibición Pre- Pulso (IPP) del reflejo de sobresalto como marcador psicofisiológico para detectar los sujetos que presenten mayor vulnerabilidad a los efectos reforzantes de la cocaína. Para ello, en primer lugar, ratones clasificados según su mayor o menor IPP fueron evaluados en la adquisición, extinción y reinstauración del Condicionam…

:PSICOLOGÍA::Psicofarmacología ::Abuso de drogas [UNESCO]CPLIPPvulnerabilidadrefuerzo:PSICOLOGÍA::Psicofarmacología ::Efecto de las drogas [UNESCO]CocaínaUNESCO::PSICOLOGÍA::Psicofarmacología ::Efecto de las drogasUNESCO::PSICOLOGÍA::Psicofarmacología ::Abuso de drogasratones machos y hembrasendofenotipo
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