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Chinese Automation Congress (CAC)

作者： Liu-Qing Yang Min-Rong Chen Yi-Yuan Huang Kang-Di Lu Guo-Qiang Zeng School of Computer Science South China Normal University Guangzhou China Institute of Cyber Systems and Control Zhejiang University Hangzhou China National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology Wenzhou University Wenzhou China

Firefly algorithm (FA) has widely used to solve various complex optimization problems. However, FA has significant drawbacks in slow convergence rate and easily trapped into local optimum. To tackle these defects, this paper proposes an improved FA combined with extremal optimization (EO), named IFA-EO, where three strategies are incorporated. First, to balance tradeoff between exploration and exploitation, we adopt a new attraction model for FA operation, which combines the full attraction model and the single attraction model through the probability choice strategy. In single attraction model, inspired by the simulated annealing idea, small probability accepts the worse solution to improve the diversity of the offspring. Second, the adaptive step size is proposed according to the number of iterations. Third, we combine EO algorithm with powerful ability in local-search. IFA-EO is employed to handle three different parameters identification problems of photovoltaic model. For comparisons, we choose three swarm intelligence algorithms to compare with IFA-EO. Simulation results demonstrate the superiority of IFA-EO to other three competitors.

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Development and Experiment of a Novel Vibration-assisted Cutting Apparatus 8

Development and Experiment of a Novel Vibration-assisted Cut...

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8th IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2018

作者： Ren, Wanfei Xu, Jinkai Lian, Zhongxu Yu, Huadong Lin, Jieqiong National and Local Joint Engineering Laboratory for Precision Manufacturing and Detection Technology Changchun University of Science and Technology Changchun City China College of Mechanical and Electrical Engineering Changchun University of Technology Changchun City China

ISBN: (纸本)9781538662144

Vibration-assisted cutting as one of specially typical precision non-conventional machining methods, recently, has aroused lots of scholars and science researchers interests, especially in hard and brittle material cutting with a significant challenge. The objective of present study develops a novel apparatus which combines mechanical and control design, a series of cutting experiments conducted on Al 7075 alloy that defined as one of high strength alloy materials appliance in lots of industries field to investigate the feasibility and reliability of the appliance. In present paper, a mechanical model of vibration- assisted cutting apparatus was designed and than evaluated by off-line test analysis. The novel apparatus can work at below 124 Hz with maximum stroke 27.285μm. Fuzzy PID was preliminary introduced into vibration-assisted cutting apparatus control strategy. Programs were established based on LabVIEW software and then downloaded into NI Compact 9033 controller in order to control vibration-assisted cutting apparatus. By compared with three strategies each other, the tracking error of fuzzy strategy increased 11.2 times that of fuzzy PID, at the same time, PID strategy oscillation amplitude increased 5.3 times that of fuzzy PID. A series of cutting experiments were conducted on the plane and freeform surface deforming. The validity and availability of vibration-assisted cutting apparatus were conducted in experiments. © 2018 IEEE.

关键词： Controllers

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Blind Equalization of AF and DF Wireless Cooperative Communication Systems

Blind Equalization of AF and DF Wireless Cooperative Communi...

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Chinese Control Conference (CCC)

作者： Xiukai Ruan Hangfang Zhao Ping Wu Chang Li Qibo Cai National-Local Joint Engineering Laboratory for Digitalized Electrical Design Technology Wenzhou P. R. China Department of Information and Communication Engineering Wenzhou University Wenzhou P. R. China

Cooperation in wireless systems has extensively escalated during the last two decades. A new blind equalization approach based on online regression technique of cooperative communication systems is presented, together with the detailed theoretical derivation of the algorithm. The proposed algorithm can be applied in cooperative communication systems where each node is only equipped with one omni-antenna. Meantime, it is suitable to equalize the cross-QAM (e.g. 8-QAM). In addition, the new algorithm needs not the assumption of modulation scheme is known as a priori. Its convergence rate is fast and update rule is simple.

关键词： Relays Blind equalizers Cooperative communication Data models Convergence

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An efficient algorithm for constructing underwater sensor barrier 12th

An efficient algorithm for constructing underwater sensor ba...

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12th International Conference on Communications and Networking in China, CHINACOM 2017

作者： Shen, Weiqiang Zhang, Chuanlin Chen, Min-Rong Shi, Jinglun Zeng, Guo-Qiang College of Information Science and Technology Jinan University Guangzhou510632 China School of Computer South China Normal University Guangzhou510631 China School of Electronic and Information Engineering South China University of Technology Guangzhou510641 China National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology Wenzhou University Wenzhou325035 China

ISBN: (纸本)9783319781389

Most existing works on barrier coverage assume that sensors are deployed in a two-dimensional (2D) long thin belt region, where a barrier is a chain of sensors from one end of the region to the other end with overlapping sensing zones of adjacent sensors. However, 2D sensor barrier construction mechanism cannot be directly applied to three-dimensional (3D) sensor barrier construction problem, such as underwater sensor barrier construction, where sensors are finally distributed over a 3D space. In this paper, we investigate how to efficiently construct an underwater sensor barrier with minimum mobile sensors while reducing energy consumption. We first determine the minimum number of sensors needed for an underwater sensor barrier construction. Furthermore, we analyse the relationship between the initial locations of sensors and the optimal location of the underwater sensor barrier, based on which we derive the optimal final locations for all sensors. Finally, we propose an efficient algorithm to move sensors from their initial locations to final locations. Extensive simulations show that, compared with HungarianK approach, the proposed algorithm costs shorter running time and similar maximum movement distance of any one sensor. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2018.

关键词： Wireless sensor networks

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NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

arXiv

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arXiv 2022年

作者： Li, Yawei Zhang, Kai Timofte, Radu Van Gool, Luc Kong, Fangyuan Li, Mingxi Liu, Songwei Du, Zongcai Liu, Ding Zhou, Chenhui Chen, Jingyi Han, Qingrui Li, Zheyuan Liu, Yingqi Chen, Xiangyu Cai, Haoming Qiao, Yu Dong, Chao Sun, Long Pan, Jinshan Zhu, Yi Zong, Zhikai Liu, Xiaoxiao Hui, Zheng Yang, Tao Ren, Peiran Xie, Xuansong Hua, Xian-Sheng Wang, Yanbo Ji, Xiaozhong Lin, Chuming Luo, Donghao Tai, Ying Wang, Chengjie Zhang, Zhizhong Xie, Yuan Cheng, Shen Luo, Ziwei Yu, Lei Wen, Zhihong Wu, Qi Li, Youwei Fan, Haoqiang Sun, Jian Liu, Shuaicheng Huang, Yuanfei Jin, Meiguang Huang, Hua Liu, Jing Zhang, Xinjian Wang, Yan Long, Lingshun Li, Gen Zhang, Yuanfan Cao, Zuowei Sun, Lei Alexander, Panaetov Wang, Yucong Cai, Minjie Wang, Li Tian, Lu Wang, Zheyuan Ma, Hongbing Liu, Jie Chen, Chao Cai, Yidong Tang, Jie Wu, Gangshan Wang, Weiran Huang, Shirui Lu, Honglei Liu, Huan Wang, Keyan Chen, Jun Chen, Shi Miao, Yuchun Huang, Zimo Zhang, Lefei Ayazoglu, Mustafa Xiong, Wei Xiong, Chengyi Wang, Fei Li, Hao Wen, Ruimian Yang, Zhijing Zou, Wenbin Zheng, Weixin Ye, Tian Zhang, Yuncheng Kong, Xiangzhen Arora, Aditya Zamir, Syed Waqas Khan, Salman Hayat, Munawar Khan, Fahad Shahbaz Gao, Dandan Zhou, Dengwen Ning, Qian Tang, Jingzhu Huang, Han Wang, Yufei Peng, Zhangheng Li, Haobo Guan, Wenxue Gong, Shenghua Li, Xin Liu, Jun Wang, Wanjun Zeng, Kun Lin, Hanjiang Chen, Xinyu Fang, Jinsheng Zhang, Shuhao Zhang, Yuhao Sinha, Abhishek Kumar Moorthi, S. Manthira Dhar, Debajyoti Yang, Hao-Hsiang Huang, Zhi-Kai Chen, Wei-Ting Chang, Hua-En Kuo, Sy-Yen Tan, Wei Chen, Hao Xu, Qian Narang, Pratik Singh, Usneek Sameen, Syed Khaitan, Harsh Yinghua, Liu Tianlin, Zhang Xiaoming, Zhang Meng, Dingxuan Tian, Chunwei Morshed, Mashrur M. Ahsan, Ahmad Omar Computer Vision Lab ETH Zurich Switzerland University of Würzburg Germany ByteDance Shenzhen China State Key Laboratory for Novel Software Technology Nanjing University China ByteDance Inc China NetEase Inc. China Shenzhen Institutes of Advanced Technology CAS China University of Macau China Shanghai AI Lab Shanghai China Nanjing University of Science and Technology China Amazon Web Services United States China Alibaba DAMO Academy EFC Yuhang District Zhejiang Hangzhou China East China Normal University China Youtu Lab Tencent China Megvii Technology China University of Electronic Science and Technology of China China School of Artificial Intelligence Beijing Normal University China Alibaba Group China Bilibili AI China Nankai-Baidu Joint Lab Nankai University Tianjin China Platform Technologies Tencent Online Video China Higher School of Economics Russia Huawei Moscow Research Center Russia Hunan University China Xidian University China Xilinx Technology Beijing Limited China College of Information Science and Engineering Xinjiang University Urumqi China Department of Electronic Engineering Tsinghua University Beijing China Nanjing University China McMaster University Canada School of Telecommunication Engineering Xidian University Xi’an China School of Computer Science Wuhan University Wuhan China School of Mathematical Science University of Electronic Science and Technology of China Chengdu China School of Computer Science The University of Sydney Sydney Australia Aselsan Research Ankara Turkey School of Electronic and Information Engineering South-Central University for Nationalities Wuhan China Guangdong University of Technology China Fujian Normal University Fuzhou University Jimei University China Design Group China Abu Dhabi United Arab Emirates Monash University Melbourne Australia Mohamed bin Zayed University of AI United Arab Emirates North China Electric Power University Changping District Beijing China The School of Art

This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-resolve an input image with a magnification factor of ×4 based on pairs of low and corresponding high resolution images. The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29.00dB on DIV2K validation set. IMDN is set as the baseline for efficiency measurement. The challenge had 3 tracks including the main track (runtime), sub-track one (model complexity), and sub-track two (overall performance). In the main track, the practical runtime performance of the submissions was evaluated. The rank of the teams were determined directly by the absolute value of the average runtime on the validation set and test set. In sub-track one, the number of parameters and FLOPs were considered. And the individual rankings of the two metrics were summed up to determine a final ranking in this track. In sub-track two, all of the five metrics mentioned in the description of the challenge including runtime, parameter count, FLOPs, activations, and memory consumption were considered. Similar to sub-track one, the rankings of five metrics were summed up to determine a final ranking. The challenge had 303 registered participants, and 43 teams made valid submissions. They gauge the state-of-the-art in efficient single image super-resolution. © 2022, CC BY.

关键词： Chemical activation

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A Population Extremal Optimization Based Modified Constrained Generalized Predictive Control Method 29

A Population Extremal Optimization Based Modified Constraine...

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第29届中国控制与决策会议

作者： Hai-Yang Liu Kang-Di Lu Guo-Qiang Zeng Huan Wang Yu-Xing Dai National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology Wenzhou University Department of Automation College of Information Sciences and TechnologyDonghua University College of Electrical and Information Engineering Hunan University

ISBN: (纸本)9781509046584

As one of the most popular and successful methods in industrial applications,model predictive control(MPC)has attracted increasing interest in the past two ***,one of open issues in this research filed is how to solve the constrained nonlinear optimization problems in *** the perspective of evolutionary algorithm,this paper presents a novel population extremal optimization(PEO) based modified constrained generalized predictive control(CGPC) method called *** key idea behind the proposed CGPC-PEO is using PEO for rolling optimization to minimize the weighted objective function subjecting to a set of *** superiority to other evolutionary algorithms such as genetic algorithm and particle swarm optimization based CGPC is demonstrated by the simulation results on an industrial process plant.

关键词： Constrained Generalized Predictive Control Population Extremal Optimization Evolutionary Algorithms Rolling Optimization

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Development and Experiment of a Novel Vibration-assisted Cutting Apparatus

Development and Experiment of a Novel Vibration-assisted Cut...

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International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)

作者： Wanfei Ren Jinkai Xu Zhongxu Lian Huadong Yu Jieqiong Lin College of Mechanical and Electrical Engineering Changchun university of technology Changchun City China National and Local Joint Engineering Laboratory for Precision Manufacturing and Detection Technology Changchun university of science and technology Changchun City China

关键词： Tools PI control PD control Vibrations Machining Software Ceramics

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Cryptanalysis of two strongly unforgeable identity-based signatures in the standard model

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International Journal of Network Security 2018年第6期20卷 1194-1199页

作者： Yang, Wenjie Chen, Min-Rong Zeng, Guo-Qiang College of Cyber Security College of Information Science and Technology Jinan University China School of Computer South China Normal University Guangzhou510631 China National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology Wenzhou University China

The strong unforgeability of digital signature means that no attacker can forge a valid signature on a message, even given some previous signatures on the message, which has been widely accepted as a common security requirement. Recently, Tsai et al. and Hung et al. presented an efficient identity-based signature scheme and a revocable identity- based signature scheme, respectively. Meanwhile, they all claimed that their scheme is strongly unforgeable against chosen message attacks. In this paper, we point out that the two schemes cannot meet the requirements of strong unforgeability by giving some concrete attacks and brie y analyze the reasons why the provably-secure schemes are insecure following their security model. © 2018 International Journal of Network Security.

关键词： Authentication

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Acoustic pressure simulation and experiment design in seafloor mining environment

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Journal of Central South University 2018年第6期25卷 1409-1417页

作者： ZHAO Hai-ming WANG Yan-li HAN Feng-lin JI Ya-qian LUO Bo-wen School of Mechanical and Electrical Engineering Central South UniversityChangsha 410083China State Key Laboratory of High Performance Complex Manufacturing Central South UniversityChangsha 410083China ~.National Local Joint Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Safety Technology Hunan University of Science and TechnologyXiangtan 411201China ~ Central South University Press and Springer-Verlag GmbH Germanypart of Springer Nature 201

Since the suspended sediments have severe influence on acoustic radiated field of transducer, it is significant for sonar system to analyze the influence of suspended sediments on acoustic pressure in the seafloor mining environment. Based on the KZK （Khokhlov-Zabolotkaya-Kuznetsov） equation, the method of sound field analysis in turbid water is proposed. Firstly, based on the analysis of absorption in clean water and viscous absorption of suspended sediments, the sound attenuation coefficient as a function of frequency in the mining environment is calculated. Then, based on the solution of KZK equation in frequency domain, the axial sound pressure of transducer in clear water as well as turbid water is simulated using MATLAB. Simulation results show that the influence of the suspended sediments on the pressure of near field is negligible. With the increase of distance, the axial sound pressures of transducer decay rapidly. Suspended sediments seriously affect the pressure in far-field. To verify the validity of this numerical method, experiment is designed and the axial sound pressure of transducer with a frequency of 200 kHz and a beam width of 7.5~ is measured in simulated mining experiment. The results show that the simulation results agree well with the experiments, and the KZK equation can be used to calculate the sound field in turbid water.

关键词： seafloor mining acoustic pressure KZK equation turbid seawater sound attenuation

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Distributed fractional-order PID control of multi-area interconnected power systems by population based extremal optimization

Distributed fractional-order PID control of multi-area inter...

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Annual Conference of Industrial Electronics Society

作者： Guo-Qiang Zeng Xiao-Qing Xie Zheng-Jiang Zhang Zheng-Bing Yan Jing-Liao Sun Lie Wu Huan Wang Yu-Xing Dai National-Local Joint Engineering Laboratory of Digitalize Electrical Design Technology Wenzhou University Wenzhou China State Grid Wenzhou Electric Power Supply Company Wenzhou China Zhejiang Jiuhong Power Engineering Company Limited Wenzhou China College of Electrical and Information Engineering Hunan University Changsha China

How to design an effective and efficient load-frequency controller (LFC) for a multi-area interconnected power system to improve its power quality is a challenging issue. In order to deal with this issue, this paper presents a novel distributed fractional-order PID (DFOPID) control method for the load-frequency control of each area by using an adaptive population-based extremal optimization (APEO) algorithm. The basic idea behind the proposed method is formulating the optimal design issue of DFOPID controller as a typical constrained optimization problem by minimizing the weighted sum of area control errors and the control signal subjecting to some pre-specified tolerances firstly, and then solving this problem by using APEO algorithm. The simulation results on a two-area interconnected power system with matched and mismatched system parameters have shown that the proposed method is superior to reported genetic algorithm, particle swarm optimization and chaotic NSGA-II algorithm based fractional-order LFC methods in terms of dynamic response and robustness.

关键词： Power systems Optimization Frequency control Sociology Statistics Algorithm design and analysis Simulation

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