School Of Electrical Engineering Research Articles

Adaptive Output Feedback Tracking Control for Nonlinear Systems with Unknown Growth Rate

Article Adaptive Output Feedback Tracking Control for Nonlinear Systems with Unknown Growth Rate Manman Yuan 1,2,*, and Wei Qian 1,2,* 1 School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China 2 Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, Jiaozuo 454003, China * Correspondence: ymmamhappy@163.com; qwei@hpu.edu.cn Received: 4 September 2023 Accepted: 7 November 2023 Published: 26 March 2024 Abstract: In this paper, the problem of adaptive output feedback tracking is considered for a class of nonlinear systems with lower-triangular structures. A novel dynamic gain is introduced to deal with the unknown growth rate. By coupling the dynamic gain with the observer and the controller, an adaptive output tracking controller is developed, which can guarantee that all signals of the closed-loop system are globally bounded. Finally, the effectiveness of the presented control scheme is illustrated by a numerical example.

Learning Regression Distribution: Information Diffusion from Template to Search for Visual Object Tracking

Article Learning Regression Distribution: Information Diffusion from Template to Search for Visual Object Tracking Shuo Hu *, Jinbo Lu, and Sien Zhou 1 School of Electrical Engineering, Yanshan University, Qinhuangdao 066000, China * Correspondence: hus@ysu.edu.cn Received: 5 July 2023 Accepted: 19 October 2023 Published: 26 March 2024 Abstract: The general paradigm of traditional Siamese networks involves using cross-correlations to fuse features from the backbone, and this paradigm is limited by the inductive bias of the convolution kernel, resulting in the lack of global information. In this paper, we propose the Siamese learning regression distribution (SiamLRD) to address the local limitations of traditional cross-correlation operations on feature fusion and weak self-connections between features within different branches. The SiamLRD uses the cross-attention mechanism to replace cross-correlations between the features of the target region of interest and the template so as to enhance flexibility. Firstly, the original transformer structure is improved to be suitable for convolutional Siamese networks. The improved transformer architecture is then used to replace cross-correlation operations, resulting in more comprehensive feature fusion between branches. Secondly, we introduce a new decoder structure into the novel fusion strategy to enhance the correlation between classification scores and regression accuracy during decoding. Multiple benchmarks are used to test the proposed SiamLRD approach, and it is verified that the proposed approach improves the baseline with 5.8% in terms of AO and 9.7% in terms of SR0.75 on the GOT-10K dataset.

Preface

With great and successful prestigious history of ICETAC, 2023 4th International Conference on Electrical Technology and Automatic Control (ICETAC 2023) was held in Chongqing, China during 24th–26th, November 2023 via virtual form. It was sponsored by School of Electrical Engineering, Chongqing University and organized by National Key Laboratory of Power Transmission and Transformation Equipment Technology.ICETAC 2023 is a great academic platform and is of great significance for disseminating cutting-edge information in disciplines and industry, promoting the transformation of scientific and technological achievements, and condensing academic achievements in the industry at this event.The Conference consisted of three plenary keynote speeches (addressed by Associate Professor Vandana Sharma from CHRIST University, India, Professor Xiaofang Yuan from Hunan University, China, and Associate Professor Qiushi Cui from Chongqing University, China, respectively), several oral and poster presentations, in which a wide range of topics were covered and the most recent significant results were presented. They discussed such topics as Unlocking the Potentials of AI in the domain of Automatic Control, Collaborative Operation Optimization of Processing Equipment and AGVs for Green Discrete Manufacturing, New Power System Modeling, Simulation and Testing Technology, etc. Besides, the attending scholars and experts exchanged deeply on the latest research achievements and advanced experience in the industry development and shared their unique insights into development trends and research directions of the industry.Some selected works presented at the Conference are published in this conference proceedings edition of Journal of Physics: Conference Series., which shows readers the latest research results and application cases of electrical and automatic control technology. We firmly believe that by reading these papers, readers will deepen their understanding of these fields and appreciate their enormous significance and potential impact on contemporary society.We wish to acknowledge all the participants, and the support of our sponsors. We would also like to take this opportunity to thank the members of Technical Program Committee and Organizing Committee, as well as the expert reviewers. What’s more, we hope that the conference series ICETAC shall continue to the next many sessions and deliver its purpose as the arena for presenting and exchanging the ideas of research in the fields of electrical and automatic control technology and anything related.The Committee of ICETAC 2023List of Committee Member is available in this pdf.

Simbolička analiza linearnih električnih kola koristeći MIT Julia Symbolics.js biblioteku

This paper presents novel free open-source software JuliaCAP for symbolic analysis of linear time-invariant electric circuits in the complex domain of the Unilateral Laplace Transform or Phasor Transform. Modified Nodal Analysis (MNA) has been chosen for formulation of circuit equations in JuliaCAP. JuliaCAP has been developed by Kristina Rajković, Glorija Došlo, Nikola Radojević, Tamara Petković and Ivana Stanojević, at the University of Belgrade - School of Electrical Engineering, Belgrade, Serbia. JuliaCAP is written in Julia, a free open-source (MIT licensed) programming language. Whereas Julia is a relatively new language, there will be some words about it. As a free opensource software package, the underlining algorithm is revealed in full detail, so anybody can get a better understanding of the used methods. We offer JuliaCAP as a useful tool for solving linear time-invariant electric circuits. The future directives should be the improvement of simplifying expressions and the absence of the possibility to solve electric circuits in the complex domain of the Unilateral Laplace Transform. Also, it is shown through examples how this software operates. Electric circuits that are used in examples are Riordan gyrator network, 3rd order Butterworth Low-pass Filter, Subtractor and Adder.

Adaptive Output Feedback Tracking Control for Nonlinear Systems with Unknown Growth Rate

Article Adaptive Output Feedback Tracking Control for Nonlinear Systems with Unknown Growth Rate Manman Yuan 1,2,*, and Wei Qian 1,2,* 1 School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China 2 Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, Jiaozuo 454003, China * Correspondence: ymmamhappy@163.com; qwei@hpu.edu.cn Received: 4 September 2023 Accepted: 7 November 2023 Abstract: In this paper, the problem of adaptive output feedback tracking is considered for a class of nonlinear systems with lower-triangular structures. A novel dynamic gain is introduced to deal with the unknown growth rate. By coupling the dynamic gain with the observer and the controller, an adaptive output tracking controller is developed, which can guarantee that all signals of the closed-loop system are globally bounded. Finally, the effectiveness of the presented control scheme is illustrated by a numerical example.

Methodological Design of Risk Management and Social Responsibility in The School of Engineering of a Peruvian University

The objective of this study is to design the Risk Management methodology for the University Social Responsibility (USR) process, with the participation of the administrative and teaching staff of the Mechanical and Electrical Engineering School of a private Peruvian university as a contribution to the licensing project in 2021. The population consisted of 38 people involved in the USR process in the University’s Mechanical and Electrical Engineering PE, including teaching and administrative staff. The methodology uses a mixed approach, explanatory scope and sequential explanatory design (DEXPLIS). Although very few universities apply risk management at the institutional level, the results show that it is feasible to design a risk management methodology applied to a specific educational management process that contributes to achieving institutional objectives. Therefore, it is concluded that the successful design of a risk management methodology facilitates the achievement of the objectives of the process to which risk management is applied and that risk management can have a direct impact on the licensing process by aligning the USR sub-processes with the sub-processes and indicators of the licensing process, being essential for a good design not only to know the dimensions of risk management but also to know the process applied, in this case, the process of University Social Responsibility.

Diamond Open Access: Researcher’s Best Friend or just a Distant Relative?

The costs of Open Access publishing increase year by year (e.g. Zhang et al. 2022). Diamond Open Access (OA), in which journals and platforms do not charge fees to either authors or readers, has been hoped to provide solutions for the current situation. Also, the Council of the EU highlights the importance of Diamond OA in the recent Council Conclusions (8827/23). Various incentives, such as Action Plan for Diamond Open Access, DIAMAS and Craft-OA are established to support the development of Diamond OA. However, do researchers really use Diamond OA publication venues? Is Diamond OA a researcher’s best friend or just a rarely met distant relative? Both international (Bosman et al. 2021) and national level (Frantsvåg 2022) studies have been conducted in relation with Diamond OA. This poster views the phenomenon on a local level by illustrating Diamond OA publishing at the Finnish Aalto University in 2018–2022. Aalto University consists of six schools: School of Arts, Design and Architecture, School of Business, School of Chemical Engineering, School of Electrical Engineering, School of Engineering and School of Science. Aalto Current Research Information System, ACRIS contains the comprehensive publication data of university’s researchers. Information on Diamond OA journals was added to ACRIS journal records in the spring 2023. We identified Diamond OA journals in ACRIS by using Directory of Open Access Journals and journals’ web pages. This information in relation with publication data will form the basis for our analysis. We recognize that information on Diamond OA is incomplete and our results only indicative, since only a third of diamond OA journals are indexed in DOAJ (Bosman et al. 2021). The poster seeks to illustrate the usage of Diamond OA channels from various aspects. How has Diamond OA publishing evolved over the years? Which Diamond OA journals and publishers are the most popular? What are the differences between schools? What is the share of Diamond OA compared with other Open Access types and how has the usage of different Open Access paths evolved?

A study of positive intervention of music therapy and neurofeedback on negative emotions and attention in college students

BackgroundAnxiety, tension, sadness, anger, and other emotions are collectively referred to as negative emotions, which can bring negative emotional experiences, make the body feel uncomfortable, and even affect normal work and life. At present, the proportion of college students suffering from negative emotions is relatively high, which has become a focus of the society. Negative emotions can lead to problems such as memory deterioration and attention impairment. Based on the characteristics of (Electro-EncephaloGram) EEG signals, the study analyzed the improvement effect of music neurofeedback training on college students’ negative emotion and attention state.Subjects and MethodsThis research reaches a cooperation with a well-known university in China, and randomly selects 250 students from the School of Electrical Engineering of the university. Then, the Positive and Negative Affect Scale (PANAS) was used for evaluation, and 60 students with PANAS scores of more than 20 were selected as experimental subjects. Then 50 students were divided into two groups, namely, the test group and the control group, with 40 students in the experimental group and 10 students in the control group. Among them, the experimental group includes 20 people in the music stimulation group and 20 people in the nerve feedback group. The music stimulation group and nerve feedback training group were stimulated for 5 minutes each time, and then took a rest for 2 minutes. After resting twice, EEG signals were collected for 2 minutes. The test period was 2 weeks. The control group did not receive any stimulation or training, and the EEG signal acquisition method and time were consistent with the experimental group. At the end of the test cycle, the PANAS scale is used again for evaluation.ResultsTable 1 shows the change of PANAS (negative) scores of the two groups of college students before and after the test. The results showed that the PANAS scores of students in the experimental group under nerve feedback and music stimulation decreased significantly after the experiment, and the difference before and after the experiment was statistically significant (P < 0.05). The PANAS score of the control group decreased, but the change was not statistically significant (P > 0.05).ConclusionsOn the basis of analyzing the resting EEG signals of nerve feedback training and music stimulation, it is combined with the relative power and continuous coherence analysis method. The intervention effect of music neurofeedback training on college students’ negative emotion and attention state was studied from the aspects of EEG signal and scale evaluation with the help of self-measurement scale. The results showed that the negative emotions of college students under the stimulation of nerve feedback and music were significantly relieved compared with those before the intervention, indicating that this method is an effective tool to regulate negative emotions and cognitive attention, and has certain clinical application value.Table 1.The change of PANAS (negative) scores of the two groups of college students before and after the experimentClassificationTest groupControl groupNeurofeedbackMusic stimulationNo stimulationBefore experiment23.53±4.8723.37±4.0123.45±3.59After experiment14.67±3.2815.03±3.6121.86±3.70t5.895.601.04P0.000.000.32

A general illumination method to predict bifacial photovoltaic system performance

Erin Tonita is currently a PhD candidate in physics at the University of Ottawa under the supervision of Dr. Karin Hinzer of the SUNLAB. Her research activities focus on the modeling and characterization of bifacial photovoltaic technologies for diesel displacement in the Arctic. Her hobbies include biking, interpretive dance, and astrophotonics. Christopher Valdivia is a senior research scientist in the University of Ottawa’s SUNLAB, with more than 20 years of research in photonics. He holds a PhD from the Optoelectronics Research Centre, University of Southampton, UK (2007). His research focus is renewable solar energy generation and photonic power, with activities spanning novel photonic device design to systems energy yield modeling. Annie Russell is a PhD candidate at the University of Ottawa SUNLAB where she develops the bifacial PV performance software, DUET. She works from unceded territory of the Musqueam, Squamish, and Tsleil-Waututh Nations. Michael Martinez-Szewczyk is currently a PhD student at Arizona State University under the supervision of Dr. Mariana Bertoni. His research activities focus on novel low-resistance silver metallization for low-temperature applications and their use in next-generation photovoltaic devices by way of dispense printing. Mariana I. Bertoni is a professor at Arizona State University. She received her PhD in 2007 from Northwestern University, followed by a postdoctoral fellowship at the Massachusetts Institute of Technology. Her group focuses on defect engineering and advanced characterization of solar cells and modules. Karin Hinzer is vice-dean of research of the Faculty of Engineering and a professor at the School of Electrical Engineering and Computer Science with a cross-appointment in the Department of Physics at the University of Ottawa and is the university research chair in photonic devices for energy. She has published over 190 refereed papers and trained over 170 highly qualified personnel, and her laboratory has spun-off three Canadian companies in the energy sector. Her research interests include new materials, high-efficiency light sources and light detectors, photovoltaics, solar modules, new electrical grid architectures, and power converters. Erin Tonita is currently a PhD candidate in physics at the University of Ottawa under the supervision of Dr. Karin Hinzer of the SUNLAB. Her research activities focus on the modeling and characterization of bifacial photovoltaic technologies for diesel displacement in the Arctic. Her hobbies include biking, interpretive dance, and astrophotonics. Christopher Valdivia is a senior research scientist in the University of Ottawa’s SUNLAB, with more than 20 years of research in photonics. He holds a PhD from the Optoelectronics Research Centre, University of Southampton, UK (2007). His research focus is renewable solar energy generation and photonic power, with activities spanning novel photonic device design to systems energy yield modeling. Annie Russell is a PhD candidate at the University of Ottawa SUNLAB where she develops the bifacial PV performance software, DUET. She works from unceded territory of the Musqueam, Squamish, and Tsleil-Waututh Nations. Michael Martinez-Szewczyk is currently a PhD student at Arizona State University under the supervision of Dr. Mariana Bertoni. His research activities focus on novel low-resistance silver metallization for low-temperature applications and their use in next-generation photovoltaic devices by way of dispense printing. Mariana I. Bertoni is a professor at Arizona State University. She received her PhD in 2007 from Northwestern University, followed by a postdoctoral fellowship at the Massachusetts Institute of Technology. Her group focuses on defect engineering and advanced characterization of solar cells and modules. Karin Hinzer is vice-dean of research of the Faculty of Engineering and a professor at the School of Electrical Engineering and Computer Science with a cross-appointment in the Department of Physics at the University of Ottawa and is the university research chair in photonic devices for energy. She has published over 190 refereed papers and trained over 170 highly qualified personnel, and her laboratory has spun-off three Canadian companies in the energy sector. Her research interests include new materials, high-efficiency light sources and light detectors, photovoltaics, solar modules, new electrical grid architectures, and power converters.

Deep Common Spatial Pattern based Motor Imagery Classification with Improved Objective Function

Survey/review study Deep Common Spatial Pattern Based Motor Imagery Classification with Improved Objective Function Nanxi Yu 1,2, Rui Yang 1, and Mengjie Huang 1,* 1 School of Electrical Engineering, Electronics & Computer Science, University of Liverpool, Liverpool, L69 3BX, United Kingdom 2 Department of Biostatistics, Graduate School of Arts and Sciences, Yale University, New Haven, CT 06511, United States * Correspondence: Mengjie.Huang@liverpool.ac.uk Received: 12 October 2022 Accepted: 28 November 2022 Published: 22 December 2022 Abstract: Common spatial pattern (CSP) technique has been very popular in terms of electroencephalogram (EEG) features extraction in motor imagery (MI)-based brain-computer interface (BCI). Through the simultaneous diagonalization of the covariance matrices, CSP intends to transform data into another mapping with data of different categories having maximal differences in their measures of dispersion. This paper shows the objective function realized by original CSP method could be inaccurate by regularizing the estimated spatial covariance matrix from EEG data by trace, leading to some flaws in the features to be extracted. In order to deal with this problem, a novel deep CSP (DCSP) model with optimal objective function is proposed in this paper. The benefits of the proposed DCSP method over original CSP method are verified with experiments on two EEG based MI datasets where the classification accuracy is effectively improved.

Posture Monitoring and Correction Exercises for Workers in Hostile Environments Utilizing Non-Invasive Sensors: Algorithm Development and Validation.

Personal protective equipment (PPE) is an essential key factor in standardizing safety within the workplace. Harsh working environments with long working hours can cause stress on the human body that may lead to musculoskeletal disorder (MSD). MSD refers to injuries that impact the muscles, nerves, joints, and many other human body areas. Most work-related MSD results from hazardous manual tasks involving repetitive, sustained force, or repetitive movements in awkward postures. This paper presents collaborative research from the School of Electrical Engineering and School of Allied Health at Curtin University. The main objective was to develop a framework for posture correction exercises for workers in hostile environments, utilizing inertial measurement units (IMU). The developed system uses IMUs to record the head, back, and pelvis movements of a healthy participant without MSD and determine the range of motion of each joint. A simulation was developed to analyze the participant's posture to determine whether the posture present would pose an increased risk of MSD with limits to a range of movement set based on the literature. When compared to measurements made by a goniometer, the body movement recorded 94% accuracy and the wrist movement recorded 96% accuracy.

Investigation of Alcohols as Insulating Paper Aging Indicator for Power Transformers

Polymer Science: Peer Review Journal Investigation of Alcohols as Insulating Paper Aging Indicator for Power Transformers Zhang E, Zheng H and Zhang C* School of Electrical Engineering, Guangxi University, China *Corresponding author: Chaohai Zhang, School of Electrical Engineering, Guangxi University, Nanning, China Submission: January 14, 2022;Published: March 18, 2022 DOI: 10.31031/PSPRJ.2022.03.000559 ISSN: 2770-6613 Volume3 Issue2

Guest Editorial: Enhancing hosting capability for renewable energy generation in active distribution networks

Guest Editorial: Enhancing hosting capability for renewable energy generation in active distribution networks

Revolutionising electronic power consumption

Transistors play a key role in everyday life and there is a growing need to reduce their power consumption. Although there have been efforts to create more sustainable transistors, a consistent design has yet to be developed. Myung-Su Kim and his supervisor Professor Yang-Kyu Choi who are with the School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea, are working to develop such a transistor. The most common transistor is the metal-oxide-semiconductor field-effect transistor (MOSFET), which has been adapted and improved upon over the 60 years. Kim and Choi have been redesigning the archetypal MOSFET by adding different structures as well as additional layers over the electrode for the gate. In doing this, the researchers have developed a device that can reduce the voltage change required to change the state of the transistor. This means that their altered MOSFET, called a gamma-FET (Γ-FET), can consume less power than the standard MOSFET. Using a variety of electronic and physical experiments involving the focused ion beam (FIB) technique, split experiments and comparative studies, the researchers are verifying the physical structure and electrical performance of the device. Ultimately, Kim and Choi have developed a transistor that can consume less power whilst in standby, which has significant potential to increase battery life across a variety of different devices. This could be beneficial both for usability and in terms of environmentally friendliness.

Izloženost učenika srednje elektrotehničke škole "Nikola Tesla" bežičnom elektromagnetnom zračenju

Introduction/Aim: Wireless electromagnetic radiation from routers is an everyday occurrence in the life and work of modern man. They are widely used in many professional, public and domestic facilities, which means that people of all ages can be constantly exposed to electromagnetic radiation from these devices. The aim of this study was to determine the electric field strength, the magnetic field strength, and the electromagnetic exposure of students in different laboratories of the Secondary School "Nikola Tesla", depending on the type of routers installed in them, as well as to check some of the obtained results with the help of the appropriate software program of high-frequency (High-Frequency Simulation Software - HFFSS) for the simulation of electromagnetic radiation through different environments. Methods: Measurements of electric and magnetic field strength, as well as electromagnetic exposure, were carried out using the measuring instrument Spectran HF 60105, on four different types of routers installed in four laboratories of the Secondary School of Electrical Engineering "Nikola Tesla" in Niš. Measurements were realized on each router, through five horizontal and five vertical positions, with a distance of 45o in relation to the horizontal and normal axis of the router, and with spaces of 1 cm, which gives a total number of one thousand measurements. Results: The measured results obtained on four different routers that operated at a frequency of 2.4 GHz for the electric field strength (measured in millivolts per meter), magnetic field strength (measured in microampere per meter) and electromagnetic exposure (in microWatts per square centimeter) were below the limit values defined by standards. The achieved results were verified only for the router TL-WR841HP with the help of HFSS for the simulation of electromagnetic radiation through different environments. The result of the simulation check practically confirms the reliability of the measured results for TL-WR841HP router. Conclusion: Measuring and monitoring electromagnetic radiation is a very important task aimed at preserving and improving the quality of the working and living environment, as well as the quality of life and health of people and children. Software programs for the simulation of electromagnetic radiation can be used when it is not possible to carry out experimental measurements due to technical problems, hindered access to the device, danger of excessive radiation or some other reasons.

Preface

The 2021 International Conference on Power Electronics and Power Transmission (ICPEPT 2021) was held on October 15-17, 2021 in Xi’an, China. ICPEPT 2021 is to bring together innovative academics and industrial experts in the field of Power Electronics and Power Transmission to a common forum. The primary goal of the conference is to promote research and developmental activities in Power Electronics and Power Transmission and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Power Electronics and Power Transmission and related areas.The conference model was divided into two sessions, including oral presentations and keynote speeches. In the first part, some scholars, whose submissions were selected as the excellent papers, were given 15 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches. More than 100 participants attended the meeting. There were over 20 experts and scholars in the area of Power Electronics and Power Transmission representing different famous universities and institutes around the globe to form Conference Committees.In the keynote presentation part, we invited three professors as our keynote speakers. The first keynote speakers, Assoc. Prof. Jinsong Tao, from School of Electrical Engineering and Automation, Wuhan University, China was invited to present his talk Operation Mode Analysis and Coordinated Control Strategy Research of Multi-terminal Network with DC Microgrid. Assoc. Prof. Sohrab MIRSAEIDI, from Beijing Jiaotong University, China was our second keynote speakers. He presented a talk: Improvement of Capacitor-Commutated-Converter-Based and Fault-Current-Limiting-Based Commutation Failure Prevention Approaches in HVDC Transmission Networks. In this talk, the structure of an improved Controllable Commutation Failure Inhibitor (CCFI) is presented which obviates the main drawbacks of the existing capacitor-commutated-converter-based and fault-current-limiting-based strategies. Assoc. Prof. ANWAR ALI, from Zhejiang Sci-Tech University, China as our finale keynote speakers. He delivered a speech: Design and Development of a Small Satellite Subsystems-AraMiS-C1. We are glad to share with you that we received lots of submissions from the conference and we selected a bunch of high-quality papers and compiled them into the proceedings after rigorously reviewed them. These papers feature following topics but are not limited to: 1. Power Electronic Technology. 2. Electric Power System. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We are really grateful to the International/National advisory committee, keynote speakers, session chairs, organizing committee members, student volunteers and administrative assistance of the management section of University, including accounts section, digital media and publication house. Also, we are thankful to all the authors for contributing a large number of papers in the conference, because of which the conference became a story of success. It was the quality of their presentations and their passion to communicate with the other participants that really make this conference series a great success.The Committee of ICPEPT 2021List of Committee members are available in this pdf.

Application of Inertial Measurement Units and Machine Learning Classification in Cerebral Palsy: Randomized Controlled Trial.

BackgroundCerebral palsy (CP) is a physical disability that affects movement and posture. Approximately 17 million people worldwide and 34,000 people in Australia are living with CP. In clinical and kinematic research, goniometers and inclinometers are the most commonly used clinical tools to measure joint angles and positions in children with CP.ObjectiveThis paper presents collaborative research between the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University and a team of clinicians in a multicenter randomized controlled trial involving children with CP. This study aims to develop a digital solution for mass data collection using inertial measurement units (IMUs) and the application of machine learning (ML) to classify the movement features associated with CP to determine the effectiveness of therapy. The results were calculated without the need to measure Euler, quaternion, and joint measurement calculation, reducing the time required to classify the data.MethodsCustom IMUs were developed to record the usual wrist movements of participants in 2 age groups. The first age group consisted of participants approaching 3 years of age, and the second age group consisted of participants approaching 15 years of age. Both groups consisted of participants with and without CP. The IMU data were used to calculate the joint angle of the wrist movement and determine the range of motion. A total of 9 different ML algorithms were used to classify the movement features associated with CP. This classification can also confirm if the current treatment (in this case, the use of wrist extension) is effective.ResultsUpon completion of the project, the wrist joint angle was successfully calculated and validated against Vicon motion capture. In addition, the CP movement was classified as a feature using ML on raw IMU data. The Random Forrest algorithm achieved the highest accuracy of 87.75% for the age range approaching 15 years, and C4.5 decision tree achieved the highest accuracy of 89.39% for the age range approaching 3 years.ConclusionsAnecdotal feedback from Minimising Impairment Trial researchers was positive about the potential for IMUs to contribute accurate data about active range of motion, especially in children, for whom goniometric methods are challenging. There may also be potential to use IMUs for continued monitoring of hand movements throughout the day.Trial RegistrationAustralian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12614001276640, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367398; ANZCTR ACTRN12614001275651, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367422

The origins of electrical engineering studies in the Ukraine and their shaping under the influence of the European scientific school (the end of the 19th and the beginning of the 20th centuries)

The deployment of electrical engineering research in the second half of the 19th and at the beginning of the 20th c. is shown. The great attention is focused on the economic circumstances of the development of theoretical electrical engineering. Emphasis is placed on the leading role of Lviv Polytechnic. The names of professors who were at the origins of electrical engineering education in Lviv, Kyiv, Kharkiv and Odesa are given. It is claimed that the European School of Electrical Engineering directly influenced the development of relevant research in Ukraine.

Preface

We are glad to introduce you the proceedings of the 2021 2nd International Conference on Clean Energy and Electric Power Engineering (ICCEPE 2021). ICCEPE 2021 is to bring together innovative academics and industrial experts in the field of clean energy and electric power engineering to a common forum. The primary goal of the conference is to promote research and developmental activities in clean energy and electric power engineering and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in clean energy and electric power engineering and related areas.As we may aware, the World Health Organization officially declared the novel coronavirus COVID-19 a pandemic. Governments around the world are now issuing restrictions on travel, gatherings, and meetings in an effort to limit and slow the spread of the virus. The health and safety of the author and research community is our first priority and we are supporting these efforts. Therefore, the ICCEPE 2021 conference was held virtually on July 02-04, 2021.During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then, keynote speakers were each allocated 30-45 minutes to hold their speeches. In the third part, followed by a question and answer by the participants with a direct questioning system, through chat forums and Q&A forums provided by the zoom application. The number of participants who joined the zoom room was recorded around 60 participants.In the second part, we invited three professors as our keynote speakers. The first one, Prof. M. Shahidul Islam, from Department of Mechanical and Manufacturing Engineering, Universiti Malaysia Sarawak. He presented his insightful speech: Waste Biomass the Potential Renewable Energy Source: A 2021 Update. A. Prof. Jia Cui, from Shenyang University of Technology. He had outstanding research in Multi-disciplinary research on clean energy consumption, intelligent control of energy internet and power big data technology area. The last keynote speakers, Prof. Jinghong Zhou, from School of Electrical Engineering and Information Technology, Changchun Institute of Technology. His speech title is Research on the Market Mechanism of Power Demand Side Adjustable Resources Participating in Grid Interaction. The speech mainly introduced the relevant research progress at home and abroad, the organization mode and market mechanism of power demand side resources participating in the grid interaction. Their insightful speeches had triggered heated discussion in the third session of the conference. Every participant praised this conference for disseminating useful and insightful knowledge.The proceedings of ICCEPE 2021 span over 3 topical tracks, that include: Clean energy, Power Engineering, Smart Grid and Energy Science. All the papers have been through rigorous review and process to meet the requirements of International publication standard.We would like to acknowledge all of those who have supported ICCEPE 2021. Each individual and institutional help were very important for the success of this conference. Especially we would like to thank the organizing committee for their valuable advices in the organization and helpful peer review of the papers. We hope that ICCEPE 2021 will be a forum for excellent discussions that will put forward new ideas and promote collaborative researches. We are sure that the proceedings will serve as an important research source of references and the knowledge, which will lead to not only scientific and engineering progress but also other new products and processes.The Committee of ICCEPE 2021List of Committee member, Conference Chairman, Program Committees, Technical Program Committees are available in this pdf.

Interview: Katie Atkinson: Dean of the School of Electrical Engineering, Electronics and Computer Science, University of Liverpool

Interview: Katie Atkinson: Dean of the School of Electrical Engineering, Electronics and Computer Science, University of Liverpool