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Conference on Power, Energy and Innovations (ICPEI)

作者： Pratya Phanomupatum Ravee Phromloungsri Rachata Tama Tiwat Pongthavornkamol Decha Wongpatsa Somchat Sonasang Department of Electronics Faculty Industrial Technology Nakhon Phanom University Nakhon Phanom Thailand Computer and Communication Engineering Faculty of Technology Udon Thani Rajabhat University Udon Thani Thailand Location and Automatic Identification System Research Team Communication and Network Research Group National Electronic and Computer Technology Center National Science and Technology Development Agency Pathumthani Thailand Electrical Elements and Wireless Devices Unit (EEWSU) Faculty Industrial Technology Nakhon Phanom University Nakhon Phanom Thailand

ISBN: (数字)9798350356779

ISBN: (纸本)9798350356786

The design of a 180° output phase difference Wilkinson power divider for L-band applications is detailed in this article. The Wilkinson power is generated through the utilization of the parallel coupler's phase shifter. To showcase the potential of the suggested power divider, an FR4 microwave substrate is fabricated with a narrow band of 1.6 GHz to accommodate radio astronomy systems. The insertion loss, return loss, and isolation loss for the power divider's difference phase are accurately simulated at the operational frequency.

关键词： Power dividers Technological innovation Microwave integrated circuits Radio astronomy Phase shifters Insertion loss Microwave circuits Microstrip Proposals Substrates

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A Hilbert space approach to fractional difference equations

arXiv

引用

arXiv 2018年

作者： Anh, Pham The Babiarz, Artur Czornik, Adam Kitzing, Konrad Niezabitowski, Michal Siegmund, Stefan Trostorff, Sascha Tuan, Hoang The Department of Mathematics Le Quy Don Technical University 236 Hoang Quoc Viet Ha noi Viet Nam Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Akademicka 16 Gliwice44-100 Poland University of Silesia Faculty of Mathematics Physics and Chemistry Institute of Mathematics Bankowa 14 Katowice40-007 Poland Technische Universität Dresden Faculty of Mathematics Zellescher Weg 12-14 Dresden01069 Germany Institute of Mathematics Vietnam Academy of Science and Technology 18 Hoang Quoc Viet Road Cau Giay Hanoi Viet Nam

We formulate fractional difference equations of Riemann-Liouville and Caputo type in a functional analytical framework. Main results are existence of solutions on Hilbert space-valued weighted sequence spaces and a condition for stability of linear fractional difference equations. Using a functional calculus, we relate the fractional sum to fractional powers of the operator 1 − τ−1 with the right shift τ−1 on weighted sequence spaces. Causality of the solution operator plays a crucial role for the description of initial value problems. Copyright © 2018, The Authors. All rights reserved.

关键词： Difference equations

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The Stability Analysis of the Adaptive Fading Extended Kalman Filter

The Stability Analysis of the Adaptive Fading Extended Kalma...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Kwang Hoon Kim Jang Gyu Lee Chan Gook Park Gyu In Jee Department of Electronics Engineering Brain Korea 21 Research Group Konkuk University Seoul South Korea School of Electrical Engineering and Computer Science and Automatic Control Research Center Seoul National University Seoul South Korea School of Mechanical and Aerospace Engineering and Institute of Advanced Aerospace Technology Seoul National University Seoul South Korea Department of Electronics Engineering Konkuk University Seoul South Korea

The well-known conventional Kalman filter gives the optimal solution but requires an accurate system model and exact stochastic information. Thus, the Kalman filter with incomplete information may be degraded or even diverged. In a number of practical situations, the system model and the stochastic information are incomplete. To solve this problem, a new adaptive fading Kalman filter (AFKF) using the forgetting factor has recently been proposed. This paper extends the AFKF to nonlinear system models to obtain an adaptive fading extended Kalman filter (AFEKF). The forgetting factor is generated from the ratio between the calculated innovation covariance and the estimated innovation covariance. Based on the analysis result of Reif for the EKF, the stability of the AFEKF is also analyzed.

关键词： Stability analysis Fading Stochastic systems Nonlinear equations Nonlinear systems Information filtering Information filters Adaptive filters control systems Degradation

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Studies on load metric and communication for a load balancing algorithm in a distributed data acquisition system

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Journal of Physics: Conference Series 2011年第2期331卷

作者： M Simon H Sakulin S Kozielski Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 44-100 Gliwice Poland CERN CH-1211 Genève 23 Switzerland

The proposed method is designed for a data acquisition system acquiring data from n independent sources. The data sources are supposed to produce fragments that together constitute some logical wholeness. These fragments are produced with the same frequency and in the same sequence. The discussed algorithm aims to balance the data dynamically between m logically autonomous processing units (consisting of computing nodes) in case of variation in their processing power which could be caused by some faults like failing computing nodes, or broken network connections. As a case study we consider the Data Acquisition System of the Compact Muon Solenoid Experiment at CERN's new Large Hadron Collider. The system acquires data from about 500 sources and combines them into full events. Each data source is expected to deliver event fragments of an average size of 2 kB with 100 kHz frequency. In this paper we present the results of applying proposed load metric and load communication pattern. Moreover, we discuss their impact on the algorithm's overall efficiency and scalability, as well as on fault tolerance of the whole system. We also propose a general concept of an algorithm that allows for choosing the destination processing unit in all source nodes asynchronously and asserts that all fragments of same logical data always go to same unit.

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Experimentally verified Iterative Learning control based on repetitive process stability theory

Experimentally verified Iterative Learning Control based on ...

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American control Conference (ACC)

作者： Pawel Dabkowski Krzysztof Galkowski Eric Rogers Zhonglun Cai Chris T. Freeman Paul L. Lewin Zdenek Hurak Anton Kummert Department of Control Engineering Faculty of Electrical Engineering Czech Technical University Praque Czech Republic Institute of Physiscs Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University Torun Poland University of Wuppertal Germany Institute of Control and Computation Engineering University of Zielona Gora Zielona Gora Poland Electronics and Computer Science University of Southampton Southampton UK Faculty of Electrical Engineering Czech Technical University Czech Republic Faculty of Electrical Information and Media Engineering Communication Theory University of Wuppertal Germany

This paper gives new results on the design and experimental evaluation of an Iterative Learning control (ILC) law in a repetitive process setting. The experimental results given are from a gantry robot facility that has been extensively used in the benchmarking of linear model based ILC designs. An example is also given to demonstrate that this new design offers much superior performance in comparison to some previous designs based on the Roesser model for 2D linear systems.

关键词： Robots State-space methods Asymptotic stability Educational institutions Vectors Stability criteria

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A Review of Alzheimer’s Disease and Emerging Patient Support Systems

A Review of Alzheimer’s Disease and Emerging Patient Suppor...

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

作者： Thair A. Kadhim Nadia Smaoui Zghal Walid Hariri Dalenda Ben Aissa Microwave Electronics Research Laboratory Faculty of Sciences of Tunis Tunis El-Manar University Tunis El-Manar Tunis Control and Energy Management Laboratory (CEM Lab) ENIS Sfax Tunis Computer Science Department Labged Laboratory Badji Mokhtar Annaba University Annaba Algeria

Alzheimer's disease (AD) is the main and most common source of brain ill health and neurocognitive disorders. Dementia accounts for 80% of AD cases. This disease is considered one of the biggest challenges facing social organizations and medical care providers at present, whether they are within these organizations or at home. The most worrying problems facing the world are the significant rise in the prevalence of dementia, especially for those over the age of 65, with no treatment for this disease. Consequently, healthcare costs have increased steadily, which puts a burden on healthcare systems and puts pressure on families. Researchers have estimated that by 2050, there would be 152 million individuals worldwide living with dementia. The cost of dementia care is expected to exceed $1 trillion. Therefore, it is important for these patients to try to do what they can do for themselves, such as going out without a company and taking medicine on time for as long as possible. The aim of this study is to assist Alzheimer's disease patients to slow cognitive degradation and reduce the burden of care and psychological pressure on families and caregivers. The research reviews the existing studies into AD prevention, progression, planning, and relevant factors for risk reduction. Additionally, the study investigates assistance systems through computerized cognitive assessment, using technology tools and applications dealing with health information recording, drug monitoring, location, and behavior tracking.

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Author Correction: FQSqueezer: k-mer-based compression of sequencing data

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Scientific reports 2020年第1期10卷 3460页

作者： Sebastian Deorowicz Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 44-100 Gliwice Poland. sebastian.deorowicz@polsl.pl.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Multi-method analysis of emotional and affective states

Multi-method analysis of emotional and affective states

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Progress in Applied Electrical Engineering (PAEE)

作者： Adrian Luckiewicz Bogdan Ruszczak Mariusz Pelc Dariusz Mikołajewski Adam Sudoł Barbara Grochowicz Edward J. Gorzelanczyk Patryk Mendon Aleksandra Kawala-Sterniu Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Institute of Computer Science University of Opole Opole Poland School of Computing and Mathematical Sciences University of Greenwich London UK Institute of Computer Science Kazimierz Wielki University Bydgoszcz Poland Neuropsychological Research Unit 2nd Clinic of the Psychiatry and Psychiatric Rehabilitation Medical University in Lublin Lublin Poland Faculty of Natural and Technical Sciences University of Opole Opole Poland Institute of Philosophy Kazimierz Wielki University Bydgoszcz Poland

ISBN: (数字)9798331527563

ISBN: (纸本)9798331527570

This study explores the neurological basis of emotions using a multi-method approach, analysing functional near-infrared spectroscopy (fNIRS) data obtained from a 26-channel device. Author’s primary objective was to examine the brain’s response to tasks that provoke emotional, imagery and affective reactions through the observation of hemodynamic changes in data. By applying data processing methods and techniques, cerebral activations corresponding to different emotional states were shown. This research enriches comprehension of how emotion and imagery tasks are processed by the brain and offers insights into aspects of brain activity during emotionally charged engagements.

关键词： Electrical engineering Brain Data processing Hemodynamics Functional near-infrared spectroscopy

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Clustering in block Markov chains

arXiv

引用

arXiv 2017年

作者： Sanders, Jaron Proutière, Alexandre Yun, Se-Young Kth Royal Institute of Technology School of Electrical Engineering Dept. of Automatic Control Osquldasväg 10 Stockholm10044 Sweden Delft University of Technology Faculty of Electrical Engineering Mathematics and Computer Science Dept. of Quantum and Computer Engineering Mekelweg 4 Delft2628CD Netherlands Korea Advanced Institute of Science and Technology Dept. of Industrial and Systems Engineering 291 Daehak-ro Eoeun-dong Yuseong-gu Korea Republic of

This paper considers cluster detection in Block Markov Chains (BMCs). These Markov chains are characterized by a block structure in their transition matrix. More precisely, the n possible states are divided into a finite number of K groups or clusters, such that states in the same cluster exhibit the same transition rates to other states. One observes a trajectory of the Markov chain, and the objective is to recover, from this observation only, the (initially unknown) clusters. In this paper we devise a clustering procedure that accurately, efficiently, and provably detects the clusters. We first derive a fundamental information-theoretical lower bound on the detection error rate satisfied under any clustering algorithm. This bound identifies the parameters of the BMC, and trajectory lengths, for which it is possible to accurately detect the clusters. We next develop two clustering algorithms that can together accurately recover the cluster structure from the shortest possible trajectories, whenever the parameters allow detection. These algorithms thus reach the fundamental detectability limit, and are optimal in that sense. Copyright © 2017, The Authors. All rights reserved.

关键词： Asymptotic analysis

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ML-Powered Biomedical Signals Processing using Hybrid Filters

ML-Powered Biomedical Signals Processing using Hybrid Filter...

引用

Progress in Applied Electrical Engineering (PAEE)

作者： Mariusz Pelc Dariusz Mikołajewski Patryk Mendoń Adrian Luckiewicz Adam Sudoł Edward Jacek Gorzelańczyk Aleksandra Kawala-Sterniuk Institute of Computer Science University of Opole Opole Poland School of Computing and Mathematical Sciences University of Greenwich London UK Institute of Computer Science Kazimierz Wielki University Bydgoszcz Poland Neuropsychological Research Unit 2nd Clinic of the Psychiatry and Psychiatric Rehabilitation Medical University in Lublin Lublin Poland Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Faculty of Natural and Technical Sciences University of Opole Opole Poland Institute of Philosophy Kazimierz Wielki University Bydgoszcz Poland

ISBN: (数字)9798331527563

ISBN: (纸本)9798331527570

This paper deals with the problem of signals filtering using hybrid filters. Such solutions may prove to be especially beneficial in the context of biomedical signals filtering where the signals’ amplitudes are typically not very high and they can be easily affected by different kinds of disturbances. Having a number of different types of filters tuned for some specific purposes we will show how the best filter choice is affected by selecting one ML model over another.

关键词： Electrical engineering Filters Biological system modeling Biomedical communication

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