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2020 IEEE International Conference on Networking, Sensing and Control, ICNSC 2020

作者： Yuan, Haitao Bi, Jing Zhou, MengChu School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Faculty of Information Technology Beijing University of Technology Beijing100124 China New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ07102 United States

ISBN: (纸本)9781728168531

Cloud computing attracts a growing number of organizations to deploy their applications in distributed data centers for low latency and cost-effectiveness. The growth of arriving instructions makes it challenging to minimize their energy cost and improve Quality of Service (QoS) of applications by optimizing resource provisioning and instruction scheduling. This work formulates a bi-objective constrained optimization problem, and solves it with a Simulated-annealing-based Adaptive Differential Evolution (SADE) algorithm to jointly minimize both energy cost and instruction response time. The minimal Manhattan distance method is adopted to obtain a knee for good tradeoff between energy cost minimization and QoS maximization. Real-life data-based experiments demonstrate SADE achieves lower instruction response time, and smaller energy cost than several state-of-the-art peers. © 2020 IEEE.

关键词： Simulated annealing

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An Experimental Study on Classification of Drivers Based on Confidence and Command of Driving

An Experimental Study on Classification of Drivers Based on ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Daghan Dogan Tankut Acarman Seta Bogosyan Mechatronics Engineering Dept. Istanbul Technical University Istanbul Turkey Computer Engineering Dept. Galatasaray University Istanbul Turkey Control and Automation Engineering Dept. Istanbul Technical University Istanbul Turkey

ISBN: (数字)9781728156354

ISBN: (纸本)9781728156361

This study proposes a simple classification method for drivers based on their driving confidence and authority using feedback from steering wheel angle and traction motor current measurement data. Data is collected from 38 drivers on a prototype electric vehicle. For the classification process, the driving performance of each driver is assessed with respect to an expert driver. The data is time-stamped and geo-referenced. The experimental driving data is comprised of the two command inputs that the driver generates to regulate handling and lane-level tracking. Deviations from the expert's performance data are considered to be a measure of potential failure of the driver's confidence and authority leading to a possible accident. The dataset of the participating drivers is processed by extracting the mean, standard deviation, skewness and kurtosis values. Extracted features are evaluated with different classification methods, including KNN.

关键词： Vehicles Feature extraction Hidden Markov models Torque Data collection Euclidean distance Task analysis

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Multiple Pseudo-Local Feedbacks for Controlling High-Order Oscillatory Objects 15

Multiple Pseudo-Local Feedbacks for Controlling High-Order O...

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15th International Scientific-Technical Conference on Actual Problems of Electronic Instrument engineering, APEIE 2021

作者： Zhmud, V.A. Nosek, J. Mansurova, M.E. Semibalamut, V.M. Fomin, Yu. N. Stukach, O.V. Novosibirsk State Technical University Institute of Laser Physics Sb Ras Dept. of Automation Novosibirsk Russia Technical University of Liberec Inst. of Mechatronics and Computer Engineering Liberec Czech Republic Al-Farabi Kazakh National University Department of Artificial Intelligence and Big Data Almaty Kazakhstan Unified Geophysical Service of the Russian Academy of Sciences Siberian Branch of the Federal State Budgetary Institution of Science of the Federal Research Center Novosibirsk Russia Novosibirsk State Technical University Higher School of Economics Dept. of Information Defense Moscow Russia

ISBN: (纸本)9781665434089

Development of the Internet of things (IoT) technologies arises many additional problems as energy harvesting. In particular, a long-Time controlling object needs a device without an external power supply. The control of technical objects with a high order of mathematical model has a large difficulty if a feature of the object is a high tendency to oscillations due to the ratio of the coefficients in the model. In particular, the tendency to oscillations occurs if the object model has complex roots, or if the model has a transport delay. One such example is a model that consists of two oscillatory objects and a delay loop. Widespread controlling such an objects using a PID controller is very difficult since in the transient process in the resulting system there is a large overshoot and many oscillations. If such an object could be stabilized with additional local feedbacks, the control task would be greatly simplified, but the object does not have corresponding outputs and inputs, therefore local feedbacks cannot be used. The pseudo-local feedback approach assumes the use of virtual fragments of the object's mathematical model in the controller to form such connections that the system perceives as local ones. This paper proposed the use of several pseudo-local feedbacks to control an object with elements that increased its tendency to oscillate. The effectiveness of the proposed approach is confirmed by modeling. © 2021 IEEE.

关键词： Feedback

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Innovative Competency-Based Electrical engineering Curriculum

Innovative Competency-Based Electrical Engineering Curriculu...

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Frontiers in Education (FIE) Conference

作者： Gustavo P. Rehder Ariana L. C. Serrano José B. Grimoni Anarosa A. F. Brandão Magno M. T. Silva Henrique T. Moriya Cristiano M. Panazio Edson Barbero Marco I. Alayo Irineu G. N. Gianesi Antonio C. Seabra Electronic Systems Department of the Escola Politécnica Universidade de São Paulo São Paulo Brazil Electric Automation and Energy Dept. of the Escola Politécnica Universidade de São Paulo São Paulo Brazil Computer Engineering and Digital Systems Department of the Escola Politécnica Universidade de São Paulo São Paulo Brazil Telecommunications and Control Dept. of the Escola Politécnica Universidade de São Paulo São Paulo Brazil Professional Master's in Administration - Á lvares Penteado School of Commerce Foundation São Paulo Brazil Instituto Mauá de Tecnologia São Paulo Brazil

ISBN: (数字)9798350351507

ISBN: (纸本)9798350363067

The Electrical engineering undergraduate program of the Escola Politécnica of the Universidade de São Paulo has created an alternative innovative curriculum path for its freshmen students in 2024. The Competency-based Path emphasizes the development of competencies and skills for the unprecedented technological advancements that necessitate a holistic education for future electrical engineers, preparing them with practical skills for real-world challenges. The program was designed using an innovative methodology and centers around semester-long or year-long integrative projects. These projects bridge the gap between theory and practice, as students deal with real-world challenges while fostering social responsibility.

关键词： Electrical engineering Education

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The Architecture of Intelligent Agent-based Educational System for Training Students in a Technical University

The Architecture of Intelligent Agent-based Educational Syst...

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International Conference on Information Technologies in engineering Education (Inforino)

作者： Anatoly Shvetsov Svetlana Rzheutskaya Anna Sergushicheva Alexey Sukonschikov Igor Andrianov Dmitry Kochkin Dept. of Information Systems and Technologies Vologda State University Vologda Russia Dept. of Automation and Computer Engineering Vologda State University Vologda Russia

ISBN: (数字)9781728148106

ISBN: (纸本)9781728148113

The article presents the development, implementation and approbation of a multi-level architecture of the intelligent agent-based educational system for training of technical specialists. The proposed architecture combines openness, flexibility and good scalability. This article shows how these quality indicators were achieved through a combination of multi-agent and service-oriented approaches. It describes the purpose and components of each level, presents some key aspects of the implementation and shows the results of pedagogical experiments.

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Mathematical Model of Microwave Devices on Resonant Tunneling Diodes for Practical Application in Radar and Electronic Systems

Mathematical Model of Microwave Devices on Resonant Tunnelin...

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2020 IEEE Ukrainian Microwave Week, UkrMW 2020

作者： Semenov, Andriy Semenova, Olena Rudyk, Andrii Voznyak, Oleksandr Pinaiev, Bogdan Kulias, Roman Vinnytsia National Technical University Dept. of Radio-Frequency Engineering Vinnytsia Ukraine Vinnytsia National Technical University Dep. of Telecommunication Systems and Tv Broadcasting Vinnytsia Ukraine National University of Water and Environmental Engineering Dep. of Automation Electrical Engineering and Computer-Integrated Technologies Rivne Ukraine Vinnytsia National Agrarian University Technologies and Automation on Agro-industrial Complex Dep. of Electrical Engineering Systems Vinnytsia Ukraine

ISBN: (纸本)9781728173139

The paper presents results obtained after review and analysis of three mathematical models (Van der Pol, Lienard and FitzHugh-Nagumo) for investigation of dynamics of microwave radio-frequency devices based on a resonant tunneling diodes. A simple circuit of a non-autonomous radio-frequency device based on a resonant tunneling diode was proposed. A simplified mathematical model of Van der Pol was used. Mathematical modeling of electrical oscillation dynamics for the non-autonomous radio-frequency device based on a resonant tunneling diode was performed. Phase portraits of the non-autonomous radio-frequency device, time diagrams and amplitude spectra of its input and output signals in modes of fractional multiplication and division of frequency were obtained. © 2020 IEEE.

关键词： Resonant tunneling diodes

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Data-driven leak localization in water distribution networks via dictionary learning and graph-based interpolation

arXiv

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arXiv 2021年

作者： Irofti, Paul Romero-Ben, Luis Stoican, Florin Puig, Vicenç Department of Computer Science Faculty of Mathematics and Computer Science University of Bucharest Romania Institut de Robòtica i Informàtica Industrial Universitat Politècnica de Catalunya Barcelona Spain Politehnica University of Bucharest Dept. of Automation Control and Systems Engineering Romania

In this paper, we propose a data-driven leak localization method for water distribution networks (WDNs) which combines two complementary approaches: graph-based interpolation and dictionary classification. The former estimates the complete WDN hydraulic state (i.e., hydraulic heads) from real measurements at certain nodes and the network graph. Then, these actual measurements, together with a subset of valuable estimated states, are used to feed and train the dictionary learning scheme. Thus, the meshing of these two methods is explored, showing that its performance is superior to either approach alone, even deriving different mechanisms to increase its resilience to classical problems (e.g., dimensionality, interpolation errors, etc.). The approach is validated using the L-TOWN benchmark proposed at BattLeDIM2020. Copyright © 2021, The Authors. All rights reserved.

关键词： Water distribution systems

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Stackelberg Differential Game-based Optimal Fault Estimation and Accommodation for Continuous-time Linear Systems

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IFAC-PapersOnLine 2020年第2期53卷 13751-13756页

作者： Yuhang Xu Hao Yang Bin Jiang Marios M. Polycarpou The College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China KIOS Research and Innovation Center of Excellence and the Dept. of Electrical and Computer Engineering University of Cyprus Nicosia 1678 Cyprus

This paper deals with the optimal fault estimation and accommodation problem for a class of linear systems in the framework of Stackelberg differential game theory. In this framework, the observer plays the role of the follower, while the system plays the role of the leader in making sequential decisions. A dual controller approach is used to design an auxiliary controller for the observer such that it can non-cooperate with the controller of the system to achieve the Stackelberg equilibrium. To achieve the online updating of the fault-tolerant controller, an adaptive dynamic programming methodology is used by establishing two critic neural networks for the observer and system respectively. Finally, a simulation is presented to illustrate the efficiency and applicability of the theoretical results.

关键词： Optimal fault estimation optimal fault-tolerant control Stackelberg differential game adaptive dynamic programming

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Scaling Optimizations for Large-Scale Distributed Data with Lightweight Coresets

Scaling Optimizations for Large-Scale Distributed Data with ...

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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Daniel N. Pinheiro Samuel Xavier-de-Souza Daniel Aloise Grad. Program of Electrical and Computer Engineering Univ. Federal do Rio Grande do Norte Natal Brazil Dept. of Computer Engineering and Automation Univ. Federal do Rio Grande do Norte Natal Brazil Dept. of Computer and Software Engineering Polytechnique Montreal Québec Canada

ISBN: (数字)9781728174457

ISBN: (纸本)9781728174570

Lightweight coresets are compact representations of data sets such that clustering methods present competitive results in relation to the complete data set. They are constructed by sampling important points from the complete set. We propose a fast method to approximate the sampling of lightweight coresets from very large data sets which are distributed among multiple machines. We show that the proposed method is much faster and scalable, reaching results 48 times faster than the original lightweight coresets, while holding similar properties.

关键词： Clustering algorithms Approximation algorithms Distributed databases Optimization Big Data Random access memory Linear programming

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An Automated Biometric Identification System Using CNN-Based Palm Vein Recognition

An Automated Biometric Identification System Using CNN-Based...

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International Conference on Advanced Robotics and Intelligent Systems (ARIS)

作者： Sin-Ye Jhong Po-Yen Tseng Natnuntnita Siriphockpirom Chih-Hsien Hsia Ming-Shih Huang Kai-Lung Hua Yung-Yao Chen Dept. of Engineering Science National Cheng Kung University Tainan Taiwan Inst. of Automation Technology National Taipei University of Technology Taipei Taiwan Dept. of Electronic and Computer Engineering National Taiwan University of Science and Technology Taipei Taiwan Dept. of Computer Science and Information Engineering National Ilan University Ilan Taiwan AI Fab Inc. Taipei Taiwan Dept. of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (数字)9781728198231

ISBN: (纸本)9781728198248

Recently, automated biometric identification system (ABIS) has wide applications involving automatic identification and data capture (AIDC), which includes automatic security checking, verifying personal identity to prevent information disclosure or identity fraud, and so on. With the advancement of biotechnology, identification systems based on biometrics have emerged in the market. These systems require high accuracy and ease of use. Palm vein identification is a type of biometric that identifies palm vein features. Compared with other features, palm vein recognition provides accurate results and has received considerable attention. We developed a novel high-performance and noncontact palm vein recognition system by using high-performance adaptive background filtering to obtain palm vein images of the region of interest. We then used a modified convolutional neural network to determine the best recognition model through training and testing. Finally, the developed system was implemented on the low-level embedded Raspberry Pi platform with cloud computing technology. The results showed that the system can achieve an accuracy of 96.54%.

关键词： Veins Feature extraction Convolution Cameras Electronic mail Filtering Convolutional neural networks

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