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An HMM-based averaging approach for creating mean motion data from a full-body Motion Capture system to support the development of a biomechanical model: Sensor-assisted functionalization of furniture in the hospital and care sector

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Current Directions in Biomedical engineering 2018年第1期4卷 1-5页

作者： Kitzig, Andreas Demmer, Julia Bolten, Tobias Naroska, Edwin Stockmanns, Gudrun Viga, Reinhard Grabmaier, Anton Niederrhein University of Applied Sciences Faculty of Electrical Engineering and Computer Science Ambient Intelligence Laboratory Reinarzstr. 49 Krefeld 47805 Germany University of Duisburg Essen Department of Electronic Components and Circuits Bismarkstr. 81 Duisburg 47057 Germany Fraunhofer Institute for Microelectronic Circuits and Systems (IMS) Finkenstraße 61 Duisburg 47057 Germany

Motion capture systems or MoCap systems are used for game development and in the field of sports for the assessment and digitalization of human movement. Furthermore, MoCap systems are also used in the medical and therapeutic field for the analysis of human movement patterns. As examples gait analysis or examination of the musculoskeletal system and its function should be mentioned. Most application relate to a specific person and their movement or to the comparison of movements of different people. Within the scope of this paper an averaged motion sequence is supposed to be generated from MoCap data in order to be able to use it in the field of biomechanical modeling and simulation. For the averaging of individual movement sequences of different persons a Hidden Markov Model (HMM) based approach is presented. © 2018 author name(s).

关键词： Hidden Markov models

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Cooperative pollution source localization and cleanup with a bio-inspired swarm robot aggregation

arXiv

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arXiv 2019年

作者： Amjadi, Arash S. Raoufi, Mohsen Turgut, Ali E. Broughton, George Krajník, Toma7acute š Arvin, Farshad School of Electrical Engineering University of Tabriz Tabriz Iran Department of Aerospace Engineering Sharif University of Technology Tehran Iran Mechanical Engineering Department Middle East Technical University Ankara Turkey Artificial Intelligence Centre Faculty of Electrical Engineering Czech Technical University Prague Czech Republic Control Systems Group School of Electrical and Electronic Engineering University of Manchester ManchesterM13 9PL United Kingdom

Using robots for exploration of extreme and hazardous environments has the potential to significantly improve human safety. For example, robotic solutions can be deployed to find the source of a chemical leakage and clean the contaminated area. This paper demonstrates a proof-of-concept bio-inspired exploration method using swarm robotic system, which is based on a combination of two bio-inspired behaviors: aggregation, and pheromone tracking. The main idea of the work presented is to follow pheromone trails to find the source of a chemical leakage and then carry out a decontamination task by aggregating at the critical zone. Using experiments conducted by a simulated model of a Mona robot, we evaluate the effects of population size and robot speed on the ability of the swarm in a decontamination task. The results indicate feasibility of deploying robotic swarms in an exploration and cleaning task in an extreme environment. Copyright © 2019, The Authors. All rights reserved.

关键词： Population statistics

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The possibility of interference suppression by correlation receiver applied to marker localization

The possibility of interference suppression by correlation r...

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作者： Vestenický, Peter Vestenický, Martin University of Žilina Faculty of Electrical Engineering and Information Technology Department of Control and Information Systems Univerzitná 8215/1 Žilina010 26 Slovakia University of Žilina Faculty of Electrical Engineering and Information Technology Department of Multimedia and Information-Communication Technologies Univerzitná 8215/1 Žilina010 26 Slovakia

The actual applications of the radiofrequency identification (RFID) systems in industry are focused not only on the identification but also on the localization of the RFID transponders. The special type of the RFID transponders is used to localize and to identify the underground facility networks such as pipes and cables. In such applications the RFID transponders are called markers. The paper describes an analysis of the correlation receiver for RSSI based localization of the inductive coupled RFID markers. The analysis is performed by the modeling of the localization device and the marker in Matlab – Simulink software. The aim of the analysis is to examine the ability of the correlation receiver to suppress the interfering signals from industrial sources, for example from the long wave telemetry transmitters which have their working frequencies in the same band as the working frequencies of the markers. © 2018, Brno University of Technology. All rights reserved.

关键词： Transponders

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Behavioural Approach to Network Anomaly Detection for Resource-Constrained System – Presentation of the Novel Solution – Preliminary Study

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IFAC-PapersOnLine 2019年第27期52卷 121-126页

作者： Mariusz Pelc Dawid Galus Magda Zolubak Stepan Ozana Wojciech Chlewicki Katarzyna Cichon Michal Podpora Aleksandra Kawala-Sterniuk Opole University of Technology – Faculty of Electrical Engineering Automatic Control and Informatics ul. Proszkowska 76 45-758 Opole Poland University of Greenwich – Department of Computing and Information Systems – Faculty of Architecture Computing and Humanities Old Royal Naval College Park Row SE10 9LS London UK VSB – Technical University Ostrava – FEECS Department of Cybernetics and Biomedical Engineering Ostrava Czech Republic West Pomeranian University of Technology in Szczecin – Faculty of Electrical Engineering ul. Sikorskiego 37 70-313 Szczecin Poland

In this paper some preliminary results of network anomaly detection for resource-constrained systems have been presented. All described algorithms are embedded into a three-tier system application. The presented solution is a response to nowadays trends in computer/network security domain that indicate gradual shifting from signature-based anomaly detection typically based on some selected statistical measures toward systems that are based on behavioural analysis of computer systems and/or networks. The presented system requirements, explain relevant terminology as well as we include some selected results and their analysis. The solution is potentially destined for very resource-constrained systems (IoT specifically), all tests were carried out in an example network to additionally analyse their effect of the presented approach on the computer resources.

关键词： Network Anomaly Detection Behavioural Analysis Internet of Things

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Design of Experiments for Battery Aging Estimation

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IFAC-PapersOnLine 2018年第28期51卷 386-391页

作者： Pózna, Anna I. Hangos, Katalin M. Magyar, Attila Department of Electrical Engineering and Information Systems Faculty of Information Technology University of Pannonia Egyetem str. 10. VeszprémH-8200 Hungary Process Control Research Group HAS Research Institute for Computer Science and Control Kende str. 13-17. BudapestH-1111 Hungary

Li-ion batteries are widely used in EV applications and are imposed to several aging effects during their lifetime. Since battery health cannot be measured directly, information about its health can be obtained by iteratively re-estimating the parameters of the model describing its dynamical behavior. The optimal design of experiments is investigated in this paper. The proposed method applies families of input signals (PRBS current and constant current-constant voltage (CC-CV) signals) to the batteries to estimate the key aging factors. Simulation experiments have been used to analyze the statistical properties of the estimators as a function of the design parameters of the input signal families. The results show that the CC-CV charging-discharging cycle has the possibility to gain the most information out of the battery model parameter estimation. © 2018

关键词： Parameter estimation Battery management systems Design of experiments Electric excitation Iterative methods Lithium ion batteries Planning Electric Experiment design Input Model formulation Storage operations

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Modal Analysis of photonic and plasmonic resonatorsA

arXiv

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arXiv 2019年

作者： Zimmerling, Jörn Remis, Rob Circuits and Systems Group Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands Department of Mathematics University of Michigan 530 Church Street Ann ArborMI48109-1043 United States

Quasi-normal modes (QNMs) are ubiquitous throughout photonics and are utilized in a wide variety of applications, but determining these modes remains a formidable task in general. Here we show that by exploiting the structure of Maxwell’s equations it is possible to effectively compute QNMs of photonic and plasmonic nanoresonators. The symmetry of Maxwell’s equations allows for a reduction to a system of small order via a Lanczos reduction process through which dominant QNMs can be identified. A closed-form reduced-order model for the spontaneous decay (SD) rate of a quantum emitter is also obtained, which does not require an a priori QNM expansion of the fields. The model is parametric in wavelength and field expansions in dominant QNMs are determined a posteriori. We demonstrate and validate that QNMs of open resonators and the SD rate of a quantum emitter are accurately predicted. Copyright © 2019, The Authors. All rights reserved.

关键词： Plasmonics

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A first course in feedback, dynamics and control: findings from an online pilot survey for the IFAC community

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IFAC-PapersOnLine 2019年第9期52卷 298-305页

作者： J.A. Rossiter K. Zakova M. Huba A. Serbezov A. Visioli Department of Automatic Control and Systems Engineering University of Sheeld Sheeld S1 3JD UK Slovak University of Technology in Bratislava Faculty of Electrical Engineering and Information Technology Institute of Automotive Mechatronics Ilkovicova 3 SK-812 19 Bratislava Slovakia Rose-Hulman Institute of Technology 5500 Wabash Avenue Terre Haute IN 47803-3999 Department of Mechanical and Industrial Engineering University of Brescia Italy

Undergraduate students in many engineering programs around the world take only one control course. The IFAC Educational Committee has developed and piloted to a limited audience a comprehensive survey for the topics to be included in such course. This issue is relevant to both academia and industry. The paper discusses the initial findings related to the design of the survey as well as the responses of the participants. The findings will be used to refine the survey and distribute it in the near future to the global control community.

关键词： control curriculum

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The learning of fuzzy cognitive maps with noisy data: A rapid and robust learning method with maximum entropy

arXiv

引用

arXiv 2019年

作者： Feng, Guoliang Lu, Wei Pedrycz, Witold Yang, Jianhua Liu, Xiaodong School of Control Science and Engineering Dalian University of Technology Dalian116023 China School of Automation Engineering Northeast Electric Power University Jilin132012 China School of Control Science and Engineering Dalian University of Technology Dalian116023 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6R 2V4 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia

Numerous learning methods for fuzzy cognitive maps (FCMs), such as the Hebbian-based and the population-based learning methods, have been developed for modeling and simulating dynamic systems. However, these methods are faced with several obvious limitations. Most of these models are extremely time consuming when learning the large-scale FCMs with hundreds of nodes. Furthermore, the FCMs learned by those algorithms lack robustness when the experimental data contain noise. In addition, reasonable distribution of the weights is rarely considered in these algorithms, which could result in the reduction of the performance of the resulting FCM. In this article, a straightforward, rapid, and robust learning method is proposed to learn FCMs from noisy data, especially, to learn large-scale FCMs. The crux of the proposed algorithm is to equivalently transform the learning problem of FCMs to a classic-constrained convex optimization problem in which the least-squares term ensures the robustness of the well-learned FCM and the maximum entropy term regularizes the distribution of the weights of the well-learned FCM. A series of experiments covering two frequently used activation functions (the sigmoid and hyperbolic tangent functions) are performed on both synthetic datasets with noise and real-world datasets. The experimental results show that the proposed method is rapid and robust against data containing noise and that the well-learned weights have better distribution. In addition, the FCMs learned by the proposed method also exhibit superior performance in comparison with the existing methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Fuzzy rules

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Motion Correction for Thermography using Co-registered Visual-Light Images

Motion Correction for Thermography using Co-registered Visua...

引用

IEEE Biomedical circuits and systems (BIOCAS)

作者： Fang Chen Jan Müller Jens Müller Juliane Müller Matthias Kirsch Ronald Tetzlaff Technische Universität Dresden Faculty of Electrical and Computer Engineering Institute of Circuits and Systems Dresden Germany Technische Universität Dresden Faculty of Medicine Carl Gustav Carus Clinical Sensoring and Monitoring Dresden Germany Faculty of Medicine Carl Gustav Carus Department of Neurosurgery Technische Universität Dresden Dresden Germany

Motion correction for intraoperative thermography is a great challenge. Both motion and physiological processes, such as heat transfer due to brain activity, are manifested in temperature variations. To unambiguously detect and correct motion, we employ co-registered visual-light images. Complementing our previous work, we propose a complete workflow and verify the methods by analysing breath and pulse frequencies before and after motion correction. Our approach is able to accurately correct motion without affecting physiological temperature shifts.

关键词： Neurosurgery Motion estimation Imaging Feature extraction Temperature measurement circuits and systems Brain

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Application of Cognitive Changes Markers for Diagnostics’ Purposes and in Neurofeedback Therapy

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IFAC-PapersOnLine 2019年第27期52卷 520-523页

作者： Magda Zolubak Mariusz Pelc Michal Podpora Wojciech Chlewicki Katarzyna Cichon Aleksandra Kawala-Sterniuk Opole University of Technology - Faculty of Electrical Engineering Automatic Control and Informatics ul. Proszkowska 76 45-758 Opole Poland West Pomeranian University of Technology in Szczecin - Faculty of Electrical Engineering ul. Sikorskiego 37 70-313 Szczecin Poland University of Greenwich - Department of Computing and Information Systems - Faculty of Architecture Computing and Humanities Old Royal Naval College Park Row SE10 9LS London UK

Thanks to the automation of diagnostic processes based on the EEG signal and the creation of classifications of various attention disorders based on the analysis of the EEG signals (as diagnostic markers) - it may be possible to refer patients to appropriate specialists and provide them with appropriate neurofeedback-based treatment. The marker method proposed by the authors of the hereof paper is based on analysis of the EEG, which signal can be widely use in screening diagnostics. The proposed solution in this work may be used for neurofeedback or Brain Computer Interfaces (BCI). In this paper the authors presented implementation of markers for the purpose of analysis of some memory disorders and short-time attention disorder. The study is still in progress. Presented results have initial-study character.

关键词： EEG neurofeedback BCI algoritms

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