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12th International Conference on Human Haptic Sensing and Touch Enabled Computer Applications, EuroHaptics 2020

作者： Seiler, Julian Schäfer, Niklas Latsch, Bastian Chadda, Romol Hessinger, Markus Beckerle, Philipp Kupnik, Mario Technische Universität Darmstadt Measurement and Sensor Technology Merckstraße 25 Darmstadt64283 Germany Technische Universität Dortmund Robotics Research Institute Otto-Hahn-Straße 8 Dortmund44227 Germany Technische Universität Darmstadt Institute for Mechatronic Systems Otto-Berndt-Straße 2 Darmstadt64287 Germany

ISBN: (纸本)9783030581466

We present a wearable vibrotactile feedback device consisting of four linear resonant actuators (LRAs) that are able to generate virtual stimuli, known as phantom tactile sensation, for human-robot interaction. Using an energy model, we can control the location and intensity of the virtual stimuli independently. The device consists of mostly 3D-printed rigid and flexible components and uses commercially available haptic drivers for actuation. The actuators have a rated frequency of 175 Hz which is close to the highest skin sensitivity regarding vibrations (150 to 300 Hz). Our experiment was conducted with a prototype consisting of two bracelets applied to the forearm and upper arm of six participants. Eight possible circumferential angles were stimulated, of which four originated from real actuators and four were generated by virtual stimuli. The responses given by the participants showed a nearly linear relationship within ± 10 ∘ for the responded angle against the presented stimulus angle. These results show that phantom tactile sensation allows for an increase of spatial resolution to design vibrotactile interfaces for human-robot interaction with fewer actuators. © The Author(s) 2020.

关键词： Phantoms

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Hand Gesture Recognition based on Electrical Impedance Tomography measurements using Genetic Algorithms

Hand Gesture Recognition based on Electrical Impedance Tomog...

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Impedance Spectroscopy (IWIS), International Workshop on

作者： Mariem Hafsa Bilel Ben Atitallah Taha ben Salah Najoua Essoukri Ben Amara Olfa Kanoun LATIS- Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Sousse Tunisie Professorship of Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany University of Sfax National School of Engineers of Sfax Sfax Tunisia University of Sousse National Engineering School of Sousse Sousse Tunisia

Electrical Impedance Tomography (EIT) for gesture recognition is on the rise in the bio-medical field. It is an imaging technique based on a set of electrodes which are placed on the forearm of the individual. The inner conductivity distribution inside the forearm will be calculated based on measured boundary voltages resulting of the injected excitation signal. In this work, the Genetic Algorithm, using the Non-Blind Search has been developed as a solution for the EIT Inverse Problem. Therefore, several measurements have been conducted for American sign numbers (0-9) for gesture recognition applications. The reconstructed images were used in a Convolutional Neural Network (CNN) classification algorithm for gesture recognition. The overall accuracy achieved for image recognition was 93%.

关键词： Electrical impedance tomography Spectroscopy Voltage measurement Inverse problems Gesture recognition Search problems Classification algorithms

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Randomized reduced forward models for efficient metropolis–hastings MCMC, with application to subsurface fluid flow and capacitance tomography

arXiv

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arXiv 2020年

作者： Fox, Colin Cui, Tiangang Neumayer, Markus Department of Physics University of Otago Dunedin New Zealand School of Mathematics Monash University Melbourne Australia Institute of Electrical Measurement and Sensor Systems Graz University of Technology Graz Austria

Bayesian modelling and computational inference by Markov chain Monte Carlo (MCMC) is a principled framework for large-scale uncertainty quantification, though is limited in practice by computational cost when implemented in the simplest form that requires simulating an accurate computer model at each iteration of the MCMC. The delayed acceptance Metropolis–Hastings MCMC leverages a reduced model for the forward map to lower the compute cost per iteration, though necessarily reduces statistical efficiency that can, without care, lead to no reduction in the computational cost of computing estimates to a desired accuracy. Randomizing the reduced model for the forward map can dramatically improve computational efficiency, by maintaining the low cost per iteration but also avoiding appreciable loss of statistical efficiency. Randomized maps are constructed by a posteriori adaptive tuning of a randomized and locally-corrected deterministic reduced model. Equivalently, the approximated posterior distribution may be viewed as induced by a modified likelihood function for use with the reduced map, with parameters tuned to optimize the quality of the approximation to the correct posterior distribution. Conditions for adaptive MCMC algorithms allow practical approximations and algorithms that have guaranteed ergodicity for the target distribution. Good statistical and computational efficiencies are demonstrated in examples of calibration of large-scale numerical models of geothermal reservoirs and electrical capacitance tomography. Copyright © 2020, The Authors. All rights reserved.

关键词： Computational efficiency

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Kinematic simulation to investigate the influence of the cutting edge topography when ball end micro milling

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Procedia CIRP 2021年 102卷 109-114页

作者： Katja Klauer Nicolas Altherr Matthias Eifler Benjamin Kirsch Volker Böß Jörg Seewig Jan C. Aurich Institute for Manufacturing Technology and Production Systems Technische Universität Kaiserslautern Gottlieb-Daimer Str. 67663 Kaiserslautern Germany Institute for Measurement and Sensor-Technology Technische Universität Kaiserslautern Gottlieb-Daimer Str. 67663 Kaiserslautern Germany IU University of Applied Sciences Juri-Gagrin-Ring 152 99084 Erfurt Germany Institute of Production Engineering and Machine Tools Leibniz Universität Hannover An der Universität 2 30823 Gabsen Germany

During the ball end micro milling of material measures, the cutting edge topography is imaged on the machined workpiece. The influence of the chipping on the resulting surface quality is much more dominant than other kinematic effects. In this simulative study, a model is built that is able to predict the correlation between the cutting edge topography and the resulting workpiece topography. Thus, the mentioned correlation can be investigated without overlaying effects of material separation or measurement uncertainties, which are unavoidable in an experimental study. The model has been validated based on four artificial chippings.

关键词： micro milling cutting edge topography kinematic simulation dexel model

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Recapitulation and comparative study for Photovoltaic Maximum Power Point Tracking techniques in particular sensor quality

Recapitulation and comparative study for Photovoltaic Maximu...

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IEEE Palestinian International Conference on Electrical and Computer Engineering (PICECE)

作者： Hala Jarallah El Khozondar Lee Jun yong Alexander W. Koch Islamic University of Gaza Gaza Plestine Institute for Measurement Systems and Sensor Technology German Institute for Science and Technology Singapore Institute for Measurement Systems and Sensor Technology Technische Universitaet Muenchen TUM Muenchen Germany

In this study, a review on several maximum power point tracking (MPPT) algorithms is given. MPPT algorithms have three major categories: Conventional methods, Advanced Soft Computing methods and Hybrid algorithms. MPPT algorithms are significant to operate the photovoltaic energy conversion systems as close as possible to the MPP resulting in photovoltaic (PV) arrays with high efficiency. In this review, the MPPT algorithms implementation complexity, the complete procedure and its effects in the PV output were given with special attention to the sensors used in the system in the first portion. Further, different MPPT algorithms for PV systems are highlighted with examples, it's parameters like complexity, and sensors used are described. In the end, the MPPT algorithms for PV systems were compared, reviewed and reported. The ultimatum of this work is to provide a survey reference for users of PV based power generation and valued information for researchers of this particular field.

关键词： Maximum power point trackers Complexity theory Photovoltaic systems Artificial neural networks Fuzzy logic Solar energy

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Erratum to “Static and Dynamic Pressure measurement in Flight Test Application With Optical Fabry–Pérot sensors”

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IEEE Transactions on Instrumentation and measurement 2021年 70卷

作者： Sascha U. Kienitz Laura Lohr Markus J. Schmid Alexander W. Koch PolyTech Wind Power Technology Germany GmbH Munich Germany Institute for Measurement Systems and Sensor Technology Technical University Munich Munich Germany

In the above article [1] , (5) on page 3, a typo was observed when preparing a new manuscript. This equation was added with respect to the decision of major revision. The initial template for the revision contained the correct formulae, but based on most likely a formatting issue on the main author’s side from with (4), the equation was mixed up with (5). Unfortunately, this mistake was not observed by reviewers or the coauthors.

关键词： Optical variables measurement Adaptive optics Pressure measurement Optical sensors

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Rapid Fault Diagnosis of Photovoltaic Panels Under Outdoor Environmental Conditions

Rapid Fault Diagnosis of Photovoltaic Panels Under Outdoor E...

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IEEE Instrumentation and measurement technology Conference

作者： Christian Schuss Kari Remes Kimmo Leppänen Juha Saarela Tapio Fabritius Bernd Eichberger Timo Rahkonen Optoelectronics and Measurement Techniques (OPEM) Research Unit University of Oulu Finland Mettler-Toledo GmbH SBU AutoChem Switzerland Institute of Electronic Sensor Systems Graz University of Technology Austria Circuits and Systems (CAS) Research Unit University of Oulu Finland

ISBN: (数字)9781728144603

ISBN: (纸本)9781728144610

This paper investigates opportunities to rapidly detect defects in photovoltaic (PV) panels. It is worth noting that a defect in a single PV cell can significantly reduce the output power of a PV panel and, thereby, of an entire PV array. Hence, it is crucial to detect faults in PV panels and replace them within PV power plants. In this paper, we utilise synchronized thermography (ST) to obtain infrared (IR) images under outdoor environmental conditions. We illustrate how IR-images obtained under changing irradiation and different angles can be analysed to rapidly detect defects in PV panels. Our technique allows maintenance staff to quickly identify PV panels with defects on the site of a PV power plant.

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Evaluation of the Point Sampling Method and Inter-Comparison of Remote Emission Sensing systems for Screening Real-World Car Emissions

SSRN

引用

SSRN 2023年

作者： Knoll, Markus Penz, Martin Schmidt, Christina Pöhler, Denis Rossi, Tommaso Casadei, Simone Bernard, Yoann Hallquist, Åsa M. Sjödin, Åke Bergmann, Alexander Institute of Electric Measurement and Sensor Systems Graz University of Technology Inffeldgasse 33/I Graz8010 Austria Institute of Environmental Physics Heidelberg University INF 229 Heidelberg69120 Germany Airyx GmbH Justus-von-Liebig-Str. 14 Eppelheim69214 Germany Innovhub - Stazioni Sperimentali per l’Industria S.r.k. Sustainable Mobility Team Via G. Galilei 1 San Donate Milanese Milan20097 Italy ICCT International Council on Clean Transportation Neue Promenade 6 Berlin10178 Germany IVL Swedish Environmental Research Institute Valhallavaegen 81 Stockholm10031 Sweden

Emissions from internal combustion vehicles are currently not properly monitored throughout their life cycle. Remote Emission Sensing (RES) is a technology that can detect emissions in real driving conditions without contact. Current RES systems, based on the measurement of light extinction from exhaust plumes, are capable of providing emission factors for various gases, but lack accuracy for particulate matter (PM). Point Sampling (PS) is an RES technique that extracts portions of the exhaust plume using exhaust gas analyzers that measure gaseous compounds aswell as various particle metrics such as black carbon or particle number concentrations. In this work we have evaluated the performance of a recently developed PS system and the state-of-the-art light extinction based systems EDAR (HEAT) and AccuScan (OPUS RSE) in application settings. In three measurement campaigns in different European cities we co-located the PS system with one of the extinction based systems. Validation measurements with portable emission measurement systems and the emission screening of several thousand passenger cars provide detailed insights into the performance of the systems. measurement results demonstrate the ability of the PS system to screen high and low PM emitters equally well. The AccuScan system is capable of measuring PM emissions from older diesel vehicles, but the light extinction-based systems are unable to quantify PM emissions from vehicles that meet the latest emission standards. We found that all three systems tested were capable of screening NOx emissions with a similar level of accuracy. The applicability of the RES systems in different weather conditions was explored. The PS capture rate is strongly affected by wind conditions, but no other weather influences were found. Both light extinction based systems are unable to measure during rain. These results provide detailed information on the performance of different RES technologies. © 2023, The Authors. All rights res

关键词： Air pollution

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Intrusion Detection based on Correlation of Multiple Health Signals in WBSN

Intrusion Detection based on Correlation of Multiple Health ...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Mbarka Belhaj Mohamed Amel Meddeb-Makhlouf Ahmed Fakhfakh Olfa Kanoun ENIG Gabes Tunisia NTS'COM ENET'COM Sfax Tunisia Smart Systems Technologies Laboratory LR16CRNS01 Digital Research Center of Sfax Measurement and Sensor Technology Chemnitz University of Technology Chemnitz Germany

ISBN: (数字)9781728110806

ISBN: (纸本)9781728110813

Improvements made in the area of safety and life support, prove the usefulness of smart sensors that collect human physiological data from a remote area using wireless communication. Nevertheless, these techniques do not meet all the Wireless Body sensor Networks (WBSN) security criteria, which are important for making efficient medical decisions. This needs a suitable intrusion detection technique. This paper proposes a correlation process to enhance medical anomaly detection. The proposed algorithm is based on real physiological signals, which are the Electrocardiogram (ECG), Electromyogram (EMG) and Electro Dermal Activity (EDA). The data analyses are collected from both hardware and software platforms named Open Signals and Bitalino respectively. Furthermore, the novel approach is capable of managing anomalies by introducing an evaluation process based on a correlation algorithm. Simulations show that the novel method is promising for the accurate detection of anomalies.

关键词： Wireless communication Correlation Software algorithms Electrocardiography Physiology Security Anomaly detection

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Influence of different cooling strategies during hard turning of AISI 52100 – part II: characterization of the surface and near surface microstructure morphology

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Procedia CIRP 2020年 87卷 119-124页

作者： Werner Ankener Julian Uebel Stephan Basten Marek Smaga Benjamin Kirsch Jörg Seewig Jan C. Aurich Tilmann Beck Institute of Materials Science and Engineering TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany Institute for Measurement and Sensor Technology TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany Institute for Manufacturing Technology and Production Systems TU Kaiserslautern Gottlieb-Daimler-Str. 67663 Kaiserslautern Germany

This two-part paper addresses the impact of seven different cooling conditions on the finishing process as well as the resulting surface and near-surface microstructure morphology of the rolling bearing steel AISI 52100 in martensitic heat treatment state. The applied cooling strategies are liquid nitrogen (LN 2 -) cooling, CO 2 -snow cooling at varied mass flows, sub-zero metalworking fluids (MWF) at varied supply temperatures, and dry machining. Part II of the paper concerns the changes in surface roughness, examined by an angle resolved scatter light sensor, micro hardness measurement, microstructure observations, residual stress and phase composition analyses in the near-surface area, caused by the turning process, that is characterized in Part I. The lowest cooling performance, i.e. dry machining, results in low compressive axial residual stresses and a high proportion of retained austenite at the near-surface area. High cooling performance strategies like CO 2 cooling or sub-zero MWF show an opposite distribution of the mentioned parameters, wherein the coolants’ lubrication effect is an important aspect. Microstructural differences resulting from the process parameters used in these investigations tend to be less significant. Thus, they do not allow reliable assignment of the microstructure to the cooling strategies used. However, different cooling conditions show an impact on residual stresses, phase distribution and surface topography of the workpieces to varying extents.

关键词： cryogenic turning surface integrity micro structure

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