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Chinese control Conference (CCC)

作者： Haoran Han Zhilong Xi Maolong Lv Jian Cheng School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu P. R. China Air Traffic Control and Navigation College Air Force Engineering University Xian P. R. China

The formation control of multi-agent system has become a hotspot in recent years. One of the most commonly used methods is to use artificial potential field (APF) to generate the attractive and repulsive force to organize the agents into a low-energy and stable formation. In this paper, we regard the APF as the difference in the desired position, and introduce the derivative of the gradient of the APF with respect to time, which is simplified as the Hessian matrix of the APF, into the formation control from the perspective of trajectory tracking. The energy-based Lyapunov function is selected to prove the stability and collision avoidance ability of the proposed control law. Moreover, we show that the maneuverability of the multi-agent system is enormously improved with the additional Hessian matrix term.

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Enabling Smart Agriculture in Nigeria: Application of Digital-Twin technology 1

Enabling Smart Agriculture in Nigeria: Application of Digita...

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1st International Conference on Multidisciplinary engineering and Applied Science, ICMEAS 2021

作者： Elijah, Olakunle Rahim, Sharul Kamal A. Emmanuel, Abioye Abiodun Salihu, Yahaya Otuoze Usman, Zubair Gatugel Jimoh, Adinoyi Momoh Wireless Communication Center School of Electrical Engineering University of Technology Malaysia Johor Bahru Malaysia School of Electrical Engineering University of Technology Malaysia Control and Mechatronics Engr. Dept. Johor Bahru Malaysia Kaduna Polytechnic Computer Engineering Department Kaduna Nigeria Saudi Telecommunication Company Riyadh Saudi Arabia

ISBN: (纸本)9781665434935

The digital twin (DT) is an emerging technology and one of the industry 4.0 technologies. The research in the application of DT in agriculture is currently attracting research interest. In this paper, we provide an overview of DT and discuss possible areas in which it can enable smart agriculture in Nigeria. The benefits and challenges of deploying the DT are also presented. Finally, methods that can be adopted in the application of DT towards solving the problems facing Nigeria's agriculture sector are proposed. © 2021 IEEE.

关键词： Agriculture

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An Enhanced Analysisof Traffic Intelligence in Smart Cities Using Sustainable Deep Radial Function

arXiv

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arXiv 2024年

作者： Ismaeel, Ayad Ghany Mary, S.J. Jereesha Anitha, C. Logeshwaran, Jaganathan Mahmood, Sarmad Nozad Alani, Sameer Shather, Akram H. Computer Technology Engineering College of Engineering Technology Al-Kitab University Kirkuk36001 Iraq Annai Velankanni College of Engineering Potalkulam Kanyakumari629401 India Saveetha School of Engineering Chennai600124 India Department of Electronics and Communication Engineering Sri Eshwar College of Engineering Coimbatore641202 India Electronic and Control Engineering Techniques Technical Engineering College Northern Technical University Kirkuk Iraq Computer Center University of Anbar Baghdad55431 Iraq Department of Computer Engineering Technology Al-Kitab University Altun Kopru Kirkuk Iraq

Smart cities have revolutionized urban living by incorporating sophisticated technologies to optimize various aspects of urban infrastructure, such as transportation systems. Effective traffic management is a crucial component of smart cities, as it has a direct impact on the quality of life of residents and tourists. Utilizing deep radial basis function (RBF) networks, this paper describes a novel strategy for enhancing traffic intelligence in smart cities. Traditional methods of traffic analysis frequently rely on simplistic models that are incapable of capturing the intricate patterns and dynamics of urban traffic systems. Deep learning techniques, such as deep RBF networks, have the potential to extract valuable insights from traffic data and enable more precise predictions and decisions. In this paper, we propose an RBF-based method for enhancing smart city traffic intelligence. Deep RBF networks combine the adaptability and generalization capabilities of deep learning with the discriminative capability of radial basis functions. The proposed method can effectively learn intricate relationships and nonlinear patterns in traffic data by leveraging the hierarchical structure of deep neural networks. The deep RBF model can learn to predict traffic conditions, identify congestion patterns, and make informed recommendations for optimizing traffic management strategies by incorporating theserich and diverse data. To evaluate the efficacy of our proposed method, extensive experiments and comparisons with real-world traffic datasets from a smart city environment were conducted. In terms of prediction accuracy and efficiency, the results demonstrate that the deep RBF-based approach outperforms conventional traffic analysis methods. Smart city traffic intelligence is enhanced by the model capacity to capture nonlinear relationships and manage large-scale data sets. © 2024, CC BY-NC-ND.

关键词： Radial basis function networks

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Tolerance analysis of multiple-element linear retrodirective cross-eye jamming

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Journal of Systems engineering and Electronics 2020年第3期31卷 460-469页

作者： LIU Tianpeng WEI Xizhang PENG Bo LIU Zhen SUN Bin GUAN Zhiqiang College of Electronic Science and Technology National University of Defense TechnologyChangsha 410073China School of Electronic and Communication Engineering Sun Yat-sen UniversityShenzhen 518107China Beijing Institute of Tracking and Telecommunication Technology Beijing 100094China Beijing Huahang Radio Measurement Institute Beijing 100013China

Tolerance sensitivity limits the practical application of the cross-eye *** literature has demonstrated that retrodirective cross-eye jamming with multiple antenna elements possesses the advantage of loose tolerance requirements compared to traditional cross-eye ***,the previous analysis was limited,because there are still some factors affecting the parameter tolerance of the multiple-element retrodirective cross-eye jamming(MRCJ)system and they have not been investigated completely,such as the loop difference,the baseline ratio and the jammer-to-signal *** paper performs a comprehensive tolerance analysis of the MRCJ system with a nonuniformspacing linear *** results demonstrate the tolerance effects of the above influence factors and give reasonable advice for easing tolerance sensitivity.

关键词： electronic warfare(EW) electronic countermeasure(ECM) cross-eye jamming radar active jamming tolerance

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Research on properties of alkali activated lead-zinc mineral powder cementitious materials 7

Research on properties of alkali activated lead-zinc mineral...

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2021 7th International Conference on Manufacturing technology and Applied Materials, ICAMMT 2021

作者： Yuan, Bicheng Gong, Weiting Chen, Sicheng Li, Peng Department of Composite Materials and Engineering Wuhan University of Technology Wuhan430070 China Department of Business Administration Wuhan University of Technology Wuhan430070 China Department of Measurement and Control Technology and Instrumentation Wuhan University of Technology Wuhan430070 China School of Entrepreneurship Wuhan University of Technology Wuhan430070 China

Cement has long been used as the main cementing material of the artesian paste filling material in the goaf of a mine, giving a generally high strength. However, the cement 'two grinding and one burning' process consumes a lot of energy, which aggravates the greenhouse effect. Therefore, a new type of cementitious material with lower energy consumption and lower emissions is needed. Solid wastes are useless by-products after mining and beneficiation, which are often dry piled in the open air, wasting land resources and polluting the environment. This project studied an alkali-activated mineral powder cementitious material, delineated its internal structure and morphology, and tested its mechanical properties. In a gelling system with 70% mineral powder, 30% Portland cement, 1% sodium silicate and a water-cement ratio of 0.4, the hydration reaction commenced the earliest and the early strength of the test block was the highest. In addition, further increasement in proportion of mineral powder or sodium silicate could not have a positive effect on the early strength of the system. © Published under licence by IOP Publishing Ltd.

关键词： Energy utilization

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measurement Method of Key Parameters of Automobile Connector Based on Binocular Stereo Vision

Measurement Method of Key Parameters of Automobile Connector...

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Sensors, Electronics and Computer engineering (ICSECE), IEEE International Conference on

作者： Guangze Bai Jun Gu Yan Xing Guiyan Xue Xu Guo Wanze Song Congbo Luo Yu Gu Lai Wei Xue Liu Automotive Institute Changchun Vocational and Technical College Changchun China Changchun Jielin Intelligent Technology Co. Ltd Changchun China Changchun City Construction Engineering School Changchun China Changchun Automotive Technical College Changchun China Xinhe Measurement and Control Technology (Changchun) Co. Ltd Changchun China

ISBN: (数字)9798350373646

ISBN: (纸本)9798350373653

As a kind of interconnection device widely used in automobile, the quality and reliability of automobile connector directly affect the overall safety of automobile. As a key parameter of connectors, pin spacing has important effects on electrical characteristics and durability of connectors. Therefore, a method for measuring pin spacing of automotive connectors based on binocular stereo vision is proposed in this paper. Firstly, a visual measurement system is designed in this paper, which provides hardware support for pin detection and pin spacing measurement of the connectors. After that, this paper uses the image processing method to detect the pin of the car connector, mainly carries out the pre-processing of the car connector image and edge feature extraction, and on the basis of the edge feature extraction, the corner feature detection is carried out, and finally the pin detection of the car connector is completed. Finally, according to the detection results of the car connector pins, the paper adopts binocular stereo vision method to measure the pin spacing of the connector pins, and the final measurement accuracy reaches millimeter level.

关键词： Connectors Visualization Image edge detection Feature extraction Pins Stereo vision Sensors Safety Automobiles Reliability

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Research on detection and measurement method of automotive connector terminal based on improved YOLOv7

Research on detection and measurement method of automotive c...

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Electronic technology, communication and Information (ICETCI), IEEE International Conference on

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

As a vital part of the automotive electrical system, the connector pins support the transmission of electrical signals, data and power to ensure the correct connection and collaboration between the various components of the vehicle, and their quality and reliability are crucial to the performance, safety and reliability of the vehicle. Therefore, it is of great significance to study an automatic detection method for the connection pins of automobile connectors. The traditional connector needle detection mainly relies on manual method, due to the relatively dense distribution of the connector needle and the human eye is easy to fatigue and other factors. This method has the problems of high detection error rate, low accuracy and low efficiency. Therefore, this paper proposes an automatic detection method for connecting pins of automotive connector based on improved Yolov7 target detection. This method adds attention mechanism on the basis of Yolov7 target detection, which can be more suitable for small target detection. Finally, after the improvement, the results of the YOLOV7 target detection model training, mAP@0.5, reached 94.87%, and map@0.5:0.95, reached 75.28%. compared with the results before the improvement, mAP@0.5, 69.7%, map@0.5:0.95, 51.2%. Increases of 25.17% and 24.08%, respectively. It is proved that the improved model is more suitable for the detection of the connection pin of the auto-mobile connector. The detection rate of the final car connector pin is as follows: After the car connector pin is detected, the pin spacing is measured by the method of image processing in this paper, and the measurement accuracy meets the practical requirements. At the same time, the research content of this paper has laid the groundwork for other electrical and signal tests of automobile connector in the future.

关键词： Connectors Training Accuracy Object detection Needles Pins Safety

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A Spectrum Sensing Method Based on CNN-LSTM Deep Neural Network

A Spectrum Sensing Method Based on CNN-LSTM Deep Neural Netw...

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

作者： Shujian Zhang Zhan Xu Lu Tian Xiaolong Yang Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing China School of Information and Communication Engineering Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9781665405836

Spectrum sensing can effectively improve the low utilization of spectrum resources and is one of the crucial components of cognitive radio networks. This paper proposes a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) network cascaded spectrum sensing model. The model uses CNN to analyze the Short-Time Fourier transform spectrogram of the blind signal. Then the generated feature vector or feature map is passed to the LSTM according to the timestamp. Finally, it detects a signal in a specific spectrum and classifies the signal type to identify multiple signals accurately. The neural network model improves the detection probability by simultaneously acquiring the spatial and temporal characteristics of the blind signal. The experimental results show that the method in this paper can detect a variety of signals with higher detection probability within a wide range of SNR, especially under the condition of low SNR.

关键词： Deep learning Fourier transforms Simulation Conferences Neural networks Sensors Convolutional neural networks

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基于自解耦三明治结构的横向运动栅场效应晶体管MEMS微力传感器

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engineering 2023年第2期21卷 61-74,M0004页

作者：高文迪乔智霞韩香广王小章 Adnan Shakoor 刘存朗卢德江杨萍赵立波王永录王久洪蒋庄德孙东 State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesOverseas Expertise Introduction Center for Micro/Nano Manufacturing and Nano Measurement Technologies Discipline InnovationXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’an 710049China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 265503China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Robotics and Systems Harbin Institute of TechnologyHarbin 150006China Eleventh Research Institute Sixth Academy of China Aerospace Science and Technology Co.Xi’an 710100China Department of Control and Instrumentation Engineering King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Department of Biomedical Engineering City University of Hong KongHong Kong 999077China

本文介绍了一种基于横向可移动栅极场效应晶体管(LMGFET)的新型微型力传感器的开发。提出了一种精确的电气模型,用于小型LMGFET器件的性能评估,与以前的模型相比,其精度有所提高。采用了一种新型三明治结构,该结构由一个金交叉解耦栅阵... 详细信息

本文介绍了一种基于横向可移动栅极场效应晶体管(LMGFET)的新型微型力传感器的开发。提出了一种精确的电气模型,用于小型LMGFET器件的性能评估,与以前的模型相比,其精度有所提高。采用了一种新型三明治结构,该结构由一个金交叉解耦栅阵列层和两个软光阻层SU-8组成。通过所提出的双差分传感结构,LMGFET横向工作在垂直干扰下的输出电流被大大消除,所提出传感器的相对输出误差从4.53%(传统差分结构)降低到0.01%。提出了一种实用的传感器制造工艺,并对其进行了模拟。基于LMGFET的力传感器的灵敏度为4.65μA·nN^(-1),可与垂直可移动栅极场效应晶体管(VMGFET)器件相媲美,但非线性度提高了0.78%,测量范围扩大了±5.10μN。这些分析为LMGFET器件的电气和结构参数提供了全面的设计优化,并证明了所提出的传感器在生物医学显微操作应用中具有良好的力传感潜力。

关键词：力传感器场效应晶体管横向运动三明治结构电气模型显微操作非线性度双差分

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Development of a Modified Bouc-Wen Model for Butterfly Hysteresis Behaviors 7

Development of a Modified Bouc-Wen Model for Butterfly Hyste...

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7th International Conference on control Science and Systems engineering, ICCSSE 2021

作者： Li, Zikang Xu, Hongzhi Zhang, Xiuyu Shu, Feng Li, Zhi Automation for Northeastern University State Key Laboratory of Synthetical Shenyang110819 China Northeast Electric Power University School of Automation Engineering 132012 China Academy for Engineering and Technology Fudan University Shanghai Engineering Research Center of Ultr-Motion Control and Measurement 200433 China

ISBN: (纸本)9781665444057

Butterfly hysteresis effects are complicated nonlinear behaviors. In comparison with single-loop hysteresis behaviors, butterfly hysteresis loops are composed of two single hysteresis loops and the directions of the butterfly hysteresis loop include both clockwise and counter-clockwise. Therefore, it brings a great challenge to build a proper model to describe the butterfly hysteresis behaviors, since most available hysteresis models are applied to describe the single-loop hysteresis. To solve this problem, a modified Bouc-Wen model with an absolute excitation function and modified elastic polynomials is developed in this paper. Experimental results are carried out via a dielectric elastomer actuator (DEA) to validate the effectiveness of the proposed model. © 2021 IEEE.

关键词： Hysteresis

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