Search results for " machine"

showing 10 items of 1317 documents

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
researchProduct

Design and Characterization of a Miniature Hydraulic Power Supply for High-Bandwidth Control of Soft Robotics

2020

Soft robotics holds enormous promise for a wide class of applications. However, system controllability, bandwidth, portability, and energy efficiency of soft robot power supplies are often inadequate. Soft robotics desperately needs improved solutions to drive soft actuators either pneumatically or hydraulically. This research paper offers a contribution to bridge this gap. It deals with small-scale power supplies for hydraulically-driven soft robots based on fluidic elastomer actuators in the power range 5-400 W. A design procedure for such power supplies is developed with an emphasis on high-bandwidth control. The performance requirements are established based on a literature survey, and …

Controllabilitybusiness.industryComputer scienceElectrical engineeringSoft roboticsRobotGear pumpHydraulic machineryLiterature surveybusinessDC motorEfficient energy use2020 3rd IEEE International Conference on Soft Robotics (RoboSoft)
researchProduct

Design and Experimental Test of a Thermomagnetic Motor

2012

Abstract This paper presents a Thermomagnetic Motor. The design of the motor is based on a thermal-magnetic coupled dynamic model, which is obtained by assuming the use of a ferromagnetic material working at temperatures near the curie point. The motor is modeled in terms of both its magnetic as well thermal properties (magnetic permeability and thermal conductivity) and the thermal processes are supposed to be influenced by the thermal conductivity, the convection and the advection. An analytical expression of the generated torque, which links this quantity to the magnetic, thermal and geometrical parameters of the generated torque is given. A design of a machine, based on this theory is p…

Convectionelectrical machinesMaterials scienceRotor (electric)General MedicineThermomagnetic convectionMechanicslaw.inventionQuantitative Biology::Subcellular ProcessesThermal conductivityCurie motorFerromagnetismlawThermalElectronic engineeringmagnetic materialCurie temperatureTorqueAASRI Procedia
researchProduct

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
researchProduct

One-Counter Verifiers for Decidable Languages

2013

Condon and Lipton (FOCS 1989) showed that the class of languages having a space-bounded interactive proof system (IPS) is a proper subset of decidable languages, where the verifier is a probabilistic Turing machine. In this paper, we show that if we use architecturally restricted verifiers instead of restricting the working memory, i.e. replacing the working tape(s) with a single counter, we can define some IPS’s for each decidable language. Such verifiers are called two-way probabilistic one-counter automata (2pca’s). Then, we show that by adding a fixed-size quantum memory to a 2pca, called a two-way one-counter automaton with quantum and classical states (2qcca), the protocol can be spac…

Counter machineTheoryofComputation_COMPUTATIONBYABSTRACTDEVICESTheoretical computer scienceQuantum registerComputer scienceProbabilistic Turing machineProbabilistic logicInteractive proof systemComputer Science::Computational ComplexityDecidabilityAutomatonsymbols.namesakesymbolsProtocol (object-oriented programming)
researchProduct

Evaluation of a Support Vector Machine Based Method for Crohn’s Disease Classification

2019

Crohn’s disease (CD) is a chronic, disabling inflammatory bowel disease that affects millions of people worldwide. CD diagnosis is a challenging issue that involves a combination of radiological, endoscopic, histological, and laboratory investigations. Medical imaging plays an important role in the clinical evaluation of CD. Enterography magnetic resonance imaging (E-MRI) has been proven to be a useful diagnostic tool for disease activity assessment. However, the manual classification process by expert radiologists is time-consuming and expensive. This paper proposes the evaluation of an automatic Support Vector Machine (SVM) based supervised learning method for CD classification. A real E-…

Crohn's diseasemedicine.diagnostic_testComputer sciencebusiness.industryFeature vectorFeature extractionSupervised learningMagnetic resonance imagingPattern recognitionmedicine.diseaseCrohn’s disease classification Feature extraction Feature reduction K-fold cross-validation Supervised learning Support vector machinesSupport vector machinemedicineMedical imagingArtificial intelligencebusinessReliability (statistics)
researchProduct

Energy recovery from rectangular weirs in wastewater treat-ment plants

2022

Hydraulic turbines for energy recovery in wastewater treatment plants, with relatively large discharges and small head jumps, are usually screw or Kaplan types. In the specific case of a small head jump (about 3 m) underlying a rectangular weir in the major Palermo (Italy) treat-ment plant, a traditional Kaplan solution is compared with two other ones: a Hydrostatic Pres-sure Machine (HPM) located in the upstream channel and a cross-flow turbine located in a specif-ic underground room downstream the same channel.

Cross-flow turbineLow head turbinesHydrostatic Pressure MachineSettore ICAR/01 - Idraulica
researchProduct

Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

2021

The British journal of surgery 108(11), 1274-1292 (2021). doi:10.1093/bjs/znab183

Cuidado perioperatorioAcademicSubjects/MED00910Settore MED/18 - CHIRURGIA GENERALEMedizinpulmonary complicationspreoperative screeningDatasets as TopicSurgical Procedures Operative/mortality030230 surgeryperioperative care ; surgical procedures ; operative mortality ; machine learning ; sars-cov-2Medical and Health SciencesProcediments quirúrgicsCohort StudiesMachine LearningTumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14]0302 clinical medicineModelsProcedimientos quirúrgicosMedicine and Health SciencesCOVIDSurg Collaborative Co-authorsMedicine030212 general & internal medicineskin and connective tissue diseasesRapid Research Communication11 Medical and Health SciencesOperative/mortalitySARS-CoV-19COVID-19/mortalityStatisticalCOVID-19/mortality; Cohort Studies; Datasets as Topic; Humans; Machine Learning; Models Statistical; Risk Assessment; SARS-CoV-2; Surgical Procedures Operative/mortalityCOVID-19; Cohort Studies; Datasets as Topic; Humans; Machine Learning; SARS-CoV-2; Surgical Procedures Operative; Models Statistical; Risk AssessmentAprendizaje automáticoOperativeSurgical Procedures OperativeoutcomeOperativo[SDV.IB]Life Sciences [q-bio]/BioengineeringPatient SafetyAcademicSubjects/MED000106.4 SurgeryLife Sciences & BiomedicineHuman61medicine.medical_specialty616.9Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-.Risk AssessmentNOCOVIDSurg CollaborativeVaccine Related03 medical and health sciencesClinical ResearchBiodefenseCures perioperatòriesAprenentatge automàticMortalitatHumansOperatiusLS7_4Surgical ProceduresScience & TechnologyModels Statisticalbusiness.industrySARS-CoV-2SARS-CoV-2 infectionKirurgiPreventionnot indicatedcovid 19fungiEvaluation of treatments and therapeutic interventionsCOVID-19Perioperativecovid 19; pulmonary complications; postoperative mortality risk; SARS-CoV-2 infection; preoperative screening; vaccinationvaccinationmortalityGood Health and Well BeingMortalidadEmergency medicineSurgeryHuman medicineCohort Studiebusinesspostoperative mortality riskPerioperative care
researchProduct

A cultural heritage experience for visually impaired people

2020

Abstract In recent years, we have assisted to an impressive advance of computer vision algorithms, based on image processing and artificial intelligence. Among the many applications of computer vision, in this paper we investigate on the potential impact for enhancing the cultural and physical accessibility of cultural heritage sites. By using a common smartphone as a mediation instrument with the environment, we demonstrate how convolutional networks can be trained for recognizing monuments in the surroundings of the users, thus enabling the possibility of accessing contents associated to the monument itself, or new forms of fruition for visually impaired people. Moreover, computer vision …

Cultural heritagePotential impactComputer scienceVisually impairedHuman–computer interactionSettore ING-INF/03 - TelecomunicazioniMediationComputer vision algorithmsImage processingnavigation visually impaired computer vision augmented reality cultural context convolutional neural network machine learning hapticPhysical accessibility
researchProduct

Condition Monitoring Technologies for Synthetic Fiber Ropes - a Review

2020

This paper presents a review of different condition monitoring technologies for fiber ropes. Specifically, it presents an overview of the articles and patents on the subject, ranging from the early 70’s up until today with the state of the art. Experimental results are also included and discussed in a conditionmonitoring context,where failuremechanisms and changes in physical parameters give improved insight into the degradation process of fiber ropes. From this review, it is found that automatic width measurement has received surprisingly little attention, and might be a future direction for the development of a continuous condition monitoring system for synthetic fiber ropes.

Damage detectionComputer scienceEnergy Engineering and Power TechnologyContext (language use)computer visiondamage detectionSystems engineeringcondition based maintenance (cbm)TA168health monitoringComputer Science (miscellaneous)Degradation processSafety Risk Reliability and QualityCivil and Structural Engineeringvibration analysisx-ray tomographyFiber (mathematics)ultrasoundMechanical EngineeringCondition monitoringelectromagnetic methodTA213-215thermographyEngineering machinery tools and implementsSynthetic fiberSystems engineeringoptical damage sensorsInternational Journal of Prognostics and Health Management
researchProduct