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UPB Scientific Bulletin, Series C: Electrical engineering and computer Science 2022年第2期84卷 45-62页

作者： Ismail, Laith S. Lupu, Ciprian Alshareefi, Hamid Luu, Duc Lich Dept. of Automatic Control University POLITEHNICA of Bucharest Romania Computer Technology Engineering Department Al Turath University Collage Baghdad Iraq Faculty of Mechanical Dynamics Vinh University of Technology Education Nghe an Viet Nam

This paper presents a dynamic model of a magnetic levitation system (Maglev) and suggests a Fuzzy Tuning of a proportional—integral--derivative controller (PID) that uses a fuzzy approach system to determine the PID controller's settings. The controller allows a steel ball to be suspended in free fall in the chosen position in reference to the electromagnet bottom end. The electromagnet levitation system can be controlled with a traditional PID controller, however because of the highly nonlinear of this system, it is unpredictable in the case of load and air gap changes. The fuzzy rules are developed to fuzzy tune PID while considering the control response and behavior of the system to find a solution to this problem. This paper shows excellent stability, rising time, settling time overshoot, and robust response results. The results reveal that this fuzzy PID controller solution can stabilize the ball's location and has strong disturbance rejection. The real time platform is designed for educational laboratory and test all the proposed control systems. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： controllers

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DMCNET: Data-Driven Multi-Pilot Convolution Neural Network for Mimo-Ofdm Receiver 8

DMCNET: Data-Driven Multi-Pilot Convolution Neural Network f...

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8th IEEE International Conference on Network Intelligence and Digital Content, IC-NIDC 2023

作者： Xin, Yutong Peng, Jingyi Lu, Zejian Lee, Yong Yang, Yang China Industrial Control Systems Cyber Emergency Response Team 100029 China China Academic of Electronics and Information Technology 100041 China School of Artificial Intelligence Beijing University of Posts & Telecommunications 100876 China Collage of Electrical and Computer Engineering Sungkyunkwan University 16419 Korea Republic of

ISBN: (纸本)9798350317923

This paper focuses on studying the deep learning (DL) application of neural networks to solve the reception of single-antenna OFDM signals. Specifically, in multi-antenna scenarios, the channel model is more complex compared to single-antenna cases. By leveraging the characteristics of DL, such as automatic learning of parameters using deep neural networks, we treat the reception process of MIMOOFDM signals as a black box and utilize neural networks to accomplish the signal reception task. Moreover, we propose the data-driven multi-pilot convolution neural network for MIMO-OFDM receiver (DMCNet). By incorporating complex convolution and complex fully connected structures, we design a receiver network to recover the transmitted signals from the received signals. We validate the accuracy and robustness of DMCNet under different channel conditions, comparing the bit error rates with different schemes. Additionally, we discuss the factors influencing various channel effects. Experimental results demonstrate that the DL-based reception scheme exhibits promising feasibility in terms of accuracy and interference resistance when compared to traditional approaches. © 2023 IEEE.

关键词： MIMO systems

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A Compact Object Detection Architecture with Transformer Enhancing 6

A Compact Object Detection Architecture with Transformer Enh...

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2022 6th International Conference on Machine Vision and Information Technology, CMVIT 2022

作者： Cui, Liyuan Zhong, Guoqiang Liu, Xiang Xu, Hongwei Collage of Computer Science and Technology Ocean University of China Qingdao266100 China Innovation Center Ocean University of China Qingdao266100 China School of Control Science and Engineering Shandong University Jinan250061 China

With the advancements in rising computer vision processing, Transformer has attracted increasing interesting in this field. However, it is limited because of its unprecedented storage, heavy reliance on data size and intolerable computational power consumption. While lightweight network is in other extreme, pursuing the compact architectures accompanied by performance loss. In this paper, we enhance an architecture as the backbone of object detection networks through combining right-size Transformer, i.e. Vision Transformer module. Specifically, based on GhostNet, a well-known lightweight neural network structure moreover, embed this Vision Transformer module at the end of GhostNet, and use the input data with slicing design to reduce the computational burden of the neural networks. Vision Transformer is taken to enhance the architecture as the backbone of object detection networks, and the well-known YOLOv5 as the baseline. We conduct multi-metric comparison experiments on two medium-scale object detection datasets with large, medium and small scale networks. Results show that without relying on ultra-large dataset and pre-trained models, the proposed Transformer module enhanced architecture achieves comparable or even higher mAP metrics with only half of the model size and floating-point computation of the baseline. © Published under licence by IOP Publishing Ltd.

关键词： Object recognition

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State Feedback controller Design for Capacitive Power Transfer System

State Feedback Controller Design for Capacitive Power Transf...

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2021 International Congress of Advanced Technology and engineering, ICOTEN 2021

作者： Awadh, Yaser Saat, Shakir Seiyun Community Collage Department of Electronic and Control Hadhramout Yemen Universiti Teknikal Malaysia Melaka Malaysia Department of Electrical and Computer Engineering Melaka Malaysia

ISBN: (纸本)9781665412247

Wireless Power Transfer (WPT) has become an advantageous and commercially viable technology in recent years, concurrently with the prevalence of electric vehicles and smartphones. Capacitive Power Transfer (CPT) is one of the latest techniques in WPT. It has an uncomplicated structure and is safer compared to other WPTs. Nonetheless, the major issue of the CPT system is that its efficiency significantly decreases when there is variation in load. In this paper, a state-feedback (SF) controller model which is able to maintain the output voltage was described. Hence, the overall efficiency of the system was retained even with load variations. A mathematical model of the CPT system was developed using Generalized State Space Averaging (GSSA) method. The proposed SF controllers were designed based on Linear Quadratic Regulator (LQR) and pole placement method. MATLAB was used to validate and simulate two SF controllers with the CPT system. The obtained results showed that the SF controllers model improved the system response's speed and provided a satisfactory response in maintaining the output voltage. © 2021 IEEE.

关键词： MATLAB

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Software Implementation of a Smart Bracelet Prototype to Monitor Vital Signs, Locate, and Track COVID-19 Patients in Quarantine Zone

Software Implementation of a Smart Bracelet Prototype to Mon...

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2022 IEEE International Conference on Blockchain, Smart Healthcare and Emerging Technologies, SmartBlock4Health 2022

作者： Naji, Hasan K. Goga, Nicolae Karkar, Ammar J. M. Ali, Haider Abdullah Falahi, Mandana Marin, Iuliana Ramona-Cristina, Popa Doctoral School of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania University POLITEHNICA of Bucharest Faculty of Engineering in Foreign Languages Bucharest Romania University of Groningen Molecular Dynamics Group Groningen Netherlands University of Kufa IT Research and Development Centre Department of Electronic and Communication Engineering Najaf Iraq University POLITEHNICA of Bucharest Faculty of Automatic Control and Computers Bucharest Romania Madenat Alelem University Collage Department of Computer Engineering Techniques Baghdad Iraq University POLITEHNICA of Bucharest Bucharest Romania

ISBN: (纸本)9781665460149

This paper describes the design and software implementation of a wearable prototype that allows users to monitor the vital signs of COVID-19 patients in quarantine areas. This prototype consists of two parts, the bracelet, andthe Base control unit (BCU). The bracelet is built with ESP8266 and sensors as main components, as well as the battery and other parts needed to fulfill the system's purpose (monitoring the vital signs of COVID-19 patients). At the same time, the Raspberry Pi (SCB) single board computer and GSM/GPRS/HAT are the main components of the Basic control Unit (BCU). The current work describes the main parts of the pseudocode, as well as the activity diagram for the microcontroller and Raspberry Pi. This paper describes the mechanism of sending alert messages, whereby the system's ability to configure two types of alert messages;(1) physician Messages (these Messages will be sent to the physicianassociated with the patient if one or more vital signs reach a critical value;these messages contain all measurements of a patient's vital signs);(2) Authorize messages (these messages will be sent if the quarantine rules are violated;the patient's location will be sent to the authorized person as a Google Mapslink). Also, this paper describes the graphical user interface for communication, management,. and interaction between the users of the system. © 2022 IEEE.

关键词： COVID-19

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DMCNET: Data-Driven Multi-Pilot Convolution Neural Network for Mimo-Ofdm Receiver

DMCNET: Data-Driven Multi-Pilot Convolution Neural Network f...

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IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

作者： Yutong Xin Jingyi Peng Zejian Lu Yong Lee Yang Yang School of Artificial Intelligence Beijing University of Posts & Telecommunications China China Industrial Control Systems Cyber Emergency Response Team China China Academic of Electronics and Information Technology China Collage of Electrical and Computer Engineering Sungkyunkwan University South Korea

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Software Implementation of a Smart Bracelet Prototype to Monitor Vital Signs, Locate, and Track COVID-19 Patients in Quarantine Zone

Software Implementation of a Smart Bracelet Prototype to Mon...

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Blockchain, Smart Healthcare and Emerging Technologies (SmartBlock4Health), IEEE International Conference on

作者： Hasan K. Naji Nicolae Goga Ammar J. M. Karkar Haider Abdullah Ali Mandana Falahi Iuliana Marin Popa Ramona-Cristina Doctoral School of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania Faculty of Engineering in Foreign Languages University POLITEHNICA of Bucharest Bucharest Romania Molecular Dynamics Group University of Groningen Groningen Netherlands Department of electronic and communication engineering IT research and development centre University of Kufa Najaf Iraq Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania Department of Computer Engineering Techniques Madenat Alelem University Collage Baghdad Iraq University POLITEHNICA of Bucharest Bucharest Romania

ISBN: (纸本)9781665460156

This paper describes the design and software implementation of a wearable prototype that allows users to monitor the vital signs of COVID-19 patients in quarantine areas. This prototype consists of two parts, the bracelet, andthe Base control unit (BCU). The bracelet is built with ESP8266 and sensors as main components, as well as the battery and other parts needed to fulfill the system's purpose (monitoring the vital signs of COVID-19 patients). At the same time, the Raspberry Pi (SCB) single board computer and GSM/GPRS/HAT are the main components of the Basic control Unit (BCU). The current work describes the main parts of the pseudocode, as well as the activity diagram for the microcontroller and Raspberry Pi. This paper describes the mechanism of sending alert messages, whereby the system's ability to configure two types of alert messages; (1) physician Messages (these Messages will be sent to the physicianassociated with the patient if one or more vital signs reach a critical value; these messages contain all measurements of a patient's vital signs); (2) Authorize messages (these messages will be sent if the quarantine rules are violated; the patient's location will be sent to the authorized person as a Google Mapslink). Also, this paper describes the graphical user interface for communication, management,. and interaction between the users of the system.

关键词： COVID-19 Microcontrollers Prototypes Medical services Sensor systems Real-time systems Sensors

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AIP Conference Proceedings 2023年第1期2591卷

作者： Huda Dhari Satea Amer A. Ibrahem Maher Faiq Zainab Ali Abbood Saadaldeen Rashid Ahmed 1Dept. of Computer Technologies Engineering AL-Esraa University College Baghdad Iraq 2Control and Automation Engineering Iraqi Cement State Company University of Technology Baghdad Iraq 3Dept. of Computer science Collage of Computer and Math Tikrit University Tikrit Iraq.

Simultaneous Localization and Mapping (SLAM) is a mission or task that involves estimating a robot's location and reconstructing its surroundings based on sensor data. For autonomous mobile robots, the capacity to learn a regular model of its environment is a prerequisite. The fact that loops in the environment generate stimulating data association challenges is a particularly difficult problem in obtaining surroundings maps of closing loops. One of the most difficult aspects of SLAM research is loop closing. The increasing uncertainty in local mapping and the productivity of the local map representation contribute to a given environment's difficulties in loop closures. The most difficult aspect of SLAM is management uncertainty. False matches caused by a lack of clarity in the environment are one of the most significant obstacles to properly closing huge loops. When evaluating whether or not to accept a map-match, there are a variety of methodologies or similarity metrics to consider. In order to determine the least map-match error, this study examined different similarity metrics such as ((Jaccard, Euclidean, Cityblock, Chebyshev, Cosine, Spearman, Variable, Correlation). When comparing the various similarity metrics, the Cosine technique had the lowest inaccuracy of all the methods, while the Correlation method had the fastest execution time.

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The Fuzzy PID controller Design Base On Nonlinear U-model

The Fuzzy PID Controller Design Base On Nonlinear U-model

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第30届中国控制与决策会议

作者： Fengxia Xu Zhilong Wang Xiaohui Song Shanshan Wang Computer and Control Engineering Collage Qiqihar University

Nonlinear modeling is studied in this paper, the Nonlinear model is set by time varying polynomial and the ShengJin formula is introduced to solve the roots of Newton-Raphson, then change the Nonlinear model to the U-model. Base on the typical the PID controller, the currency U-model Fuzzy PID system is designed with the Fuzzy algorithm and the structure of U-model. The new controller keeps the generality of PID controller and enhances the accuracy of nonlinear system,it is theory support that the nonlinear system control can be solved.

关键词： U-model Shengjin Formula iterative algorithm Fuzzy control

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Economic load dispatch of power systems based on hysteretic noisy chaotic neural network

Economic load dispatch of power systems based on hysteretic ...

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2014 IEEE Workshop on Advanced Research and Technology in Industry Applications, WARTIA 2014

作者： Asun, Ming Cui, Shaojie Xu, Yaoqun Collage of Computer and Control Engineering Qiqihar University Qiqihar Heilongjiang Province China Institute of System Engineering Harbin University of Commerce Harbin Heilongjiang Province China

ISBN: (纸本)9781479969890

Hysteretic noisy chaotic neural network (HNCNN) has been proven to be a powerful tool in solving combinatorial optimization problems, which can increase the effective convergence toward optimal or near-optimal solutions by using both stochastic chaotic simulated annealing (SCSA) and hysteretic dynamics. Considering the excellent optimization performance of HNCNN, we apply HNCNN to better resolve economic load dispatch (ELD) of power system in this paper. In addition, the system loss and valve point effect are also involved in the simulation. Simulation results and analyses compared with other approaches are presented to illustrate efficiency of the HNCNN. © 2014 IEEE.

关键词： Stochastic systems

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