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2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019

作者： An, Yinping Meng, Xiangping Wang, Hui Yao, Qi Liang, Chunhui Changchun University of Technology College of Electrical and Electronic Engineering Changchun China National Local Joint Engineering Research Center Intelligent Distribution Network Measurement Control with Safety Operation Technology School of Electrical Engineering and Information Technology Changchun China

ISBN: (纸本)9781728137209

Aiming at the problem of large overshoot and long response time of bidirectional DC/DC in the energy storage part of DC micro-grid, a fuzzy self-tuning PI controller is designed in this paper to realize online setting of control parameters and achieve the purpose of optimizing traditional PI control. The results show that fuzzy self-tuning PI control can effectively solve the problem of slow tracking voltage and fluctuation in dc micro-grid. © 2019 IEEE.

关键词： Fuzzy control

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Characterization of State-Preparation Uncertainty in Quantum Key Distribution

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Physical Review Applied 2023年第1期19卷 014048-014048页

作者： Anqi Huang Akihiro Mizutani Hoi-Kwong Lo Vadim Makarov Kiyoshi Tamaki Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha 410073 People’s Republic of China Graduate School of Engineering Science Osaka University Toyonaka Osaka 560-8531 Japan Department of Electrical & Computer Engineering and Department of Physics Centre for Quantum Information and Quantum Control (CQIQC) University of Toronto Toronto Ontario M5S 3G4 Canada Department of Physics University of Hong Kong Pokfulam Hong Kong Quantum Bridge Technologies Inc. 100 College Street Toronto Ontario M5G 1L5 Canada Russian Quantum Center Skolkovo Moscow 121205 Russia Shanghai Branch National Laboratory for Physical Sciences at Microscale and CAS Center for Excellence in Quantum Information University of Science and Technology of China Shanghai 201315 People’s Republic of China NTI Center for Quantum Communications National University of Science and Technology MISiS Moscow 119049 Russia Faculty of Engineering University of Toyama Gofuku 3190 Toyama 930-8555 Japan

To achieve secure quantum key distribution, all imperfections in the source unit must be incorporated in a security proof and measured in the lab. Here we perform a proof-of-principle demonstration of the experimental techniques for characterizing the source phase and intensity fluctuation in commercial quantum key distribution systems. When we apply the measured phase-fluctuation intervals to the security proof that takes into account fluctuations in the state preparation, it predicts a key distribution distance of over 100km of fiber. The measured intensity fluctuation intervals are, however, so large that the proof predicts zero key, indicating a source improvement may be needed. Our characterization methods pave the way for a future certification standard.

关键词： Fluctuations & noise Optical quantum information processing Quantum cryptography Quantum engineering Quantum state engineering

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Research on License Plate Recognition of Two-wheel Motor Vehicle Based on Image Processing

Research on License Plate Recognition of Two-wheel Motor Veh...

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International Conference on Computer Network, Electronic and Automation (ICCNEA)

作者： Tong Li Qizhi Zhang Shaanxi Provincial Key Lab of Oil and Gas Well Measurement and Control Technology Xi'an China Xi'an Shiyou University School of Electronic Engineering Xi'an China

ISBN: (数字)9781728170831

ISBN: (纸本)9781728170848

The convenience and economy of non-four-wheel motor vehicles are favored, and the number of non-four-wheel motor vehicles is rapidly increasing. However, it also brings some problems to road traffic safety management. The traffic management department has put forward a series of management measures, and how to recognize its license plate has become the premise. This paper realizes the license plate recognition by preprocessing the original image, license plate positioning, character segmentation, character recognition and other processes, and achieves the expected effect, which has reference significance for the research of license plate recognition.

关键词： Licenses Image edge detection Optical character recognition software Corrosion Image color analysis Colored noise

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Nonreciprocal thermal radiation based on Fibonacci quasi-periodic structures

arXiv

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arXiv 2021年

作者： Wu, Jun Wu, Feng Zhao, Tiancheng Zhai, Han Wu, Xiaohu Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment Ministry of Education College of Electrical Engineering Anhui Polytechnic University Wuhu241000 China School of Optoelectronic Engineering Guangdong Polytechnic Normal University Guangzhou510665 China Beijing Aerospace Institute for Metrology and Measurement Technology Beijing100076 China Shandong Institute of Advanced Technology Jinan250100 China

To violate Kirchhoff's law is very important in the areas of thermal radiation. However, due to the weak nonreciprocity in natural materials, it is necessary to engineer novel structures to break the balance between emission and absorption. In this work, we introduce magneto-optical material into Fibonacci photonic crystals. Assisted by the nonreciprocity of the magneto-optical material and the excitation of Tamm plasmon polaritons, strong nonreciprocal thermal radiation can be realized. The difference between absorption and emission at wavelength of 16 μm can reach 0.9 at the incident angle of 60o. The distributions of the magnetic field are also calculated to verify the underlying physical origin. By engineering the parameters of the structure, it is found that strong nonreciprocal thermal radiation can be achieved at shorter wavelength and smaller incident angle. The results indicate that the Fibonacci magnetophotonic crystals are the promising candidate to engineer the nonreciprocal emission for various requirements. Copyright © 2021, The Authors. All rights reserved.

关键词： Heat radiation

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Analysis of ergodic sum rate in RSMA with perfect and imperfect SIC: A multiple-antenna selection approach for optimizing UAV positioning

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Physical Communication 2025年 72卷

作者： Van Son Nguyen Anh Le-Thi Vu Duy Thuan Chi-Bao Le Tien Hoa Nguyen Sang-Quang Nguyen Faculty of Electrical and Electronic Engineering Hanoi Open University Viet Nam School of information and communications technology Hanoi University of Industry Hanoi Viet Nam Department of Control and Automation Electricity Power University Hanoi Viet Nam Transcosmos Viet Nam Ho Chi Minh City Viet Nam School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Viet Nam Posts and Telecommunications Institute of Technology Ho Chi Minh City Viet Nam

Rate-Splitting Multiple Access (RSMA) has emerged as a promising multiple access technique for next-generation wireless networks, enabling enhanced spectral efficiency and interference management. This paper analyzes the ergodic sum-rate performance of an RSMA-enabled unmanned aerial vehicle (UAV)-assisted communication system under both perfect and imperfect successive interference cancellation (SIC) scenarios. To optimize system performance, we propose an antenna selection strategy with multiple antennas at the UAV-based aerial base station (UAV-BS) and derive closed-form analytical expressions for the ergodic sum rate under various network configurations. Furthermore, an alternating optimization (AO)-based UAV-BS placement strategy is developed to maximize spectral efficiency. We also extend the analysis to the high-SNR regime, where asymptotic approximations offer insights into the impact of residual interference in imperfect SIC scenarios. Additionally, we introduce the energy-spectral efficiency (ESE) metric, which accounts for both spectral efficiency and total power consumption, including UAV propulsion, radio frequency (RF) transmission, and circuit power consumption. Simulation results demonstrate that RSMA significantly outperforms Non-Orthogonal Multiple Access (NOMA), particularly under imperfect SIC conditions, while achieving superior ESE through optimized power allocation and UAV positioning. These findings provide valuable design guidelines for robust and energy-efficient RSMA-enabled UAV-assisted networks in future wireless systems.

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Multi-target High-speed Positioning System Based on Triple UWB Radio Frequency

Multi-target High-speed Positioning System Based on Triple U...

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International Conference on Computer and communications (ICCC)

作者： Qingqiao Li Yang Lu School of Computer Science and Information Engineering Hefei University of Technology Hefei China School of Computer Science and Information Engineering Hefei University of TechnologyEngineering Research Center of Safety Critical Industrial Measurement and Control Technology Ministry of Education Hefei China

ISBN: (数字)9781728186351

ISBN: (纸本)9781728186368

When the single radio frequency (single-RF) Ultra-Wideband (UWB) wireless positioning system composed of DW1000 faces multi-target positioning, because each tag is located in sequence, the positioning period is usually long, and it cannot well meet the needs of multi-target high-speed positioning. This paper proposes to extend three DW1000 modules on the basis of a single-RF anchor to form a triple radio frequency (triple-RF) anchor. Each DW1000 module on the triple-RF anchor can perform ranging with a single-RF mobile tag with the same channel, respectively. When the three DW1000 modules on the triple-RF anchor use different channels, they can work in parallel and locate three tags at the same time. The Time of Arrival (TOA) and Time Difference of Arrival (TDOA) positioning algorithms are respectively applied to triple-RF anchor, the experimental results show that the number of positioning in the triple-RF anchor using the TOA and TDOA algorithms in the same time reaches 2.41 and 2.66 times that of single-RF anchor respectively, which can effectively improve the positioning speed in multi-target scenarios.

关键词： Wireless communication Time division multiple access Time difference of arrival Conferences Distance measurement Faces Ultra wideband technology

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Multi-perspective digital image correlation method using a single color camera

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Science China(Technological Sciences) 2018年第1期61卷 61-67页

作者： WANG YongHong DAN XiZuo LI JunRui WU SiJin YANG LianXiang School of Instrument Science and Opto-electronics Engineering Hefei University of Technology Department of Mechanical Engineering School of Engineering and Computer Science Oakland University Department of Measurement-Control Technology and Instrumentation Beijing Information Science and Technology University

A novel 3 D digital image correlation(DIC) system based on a single three charge-couple device(3 CCD) color camera is proposed in this paper. Images from three different perspectives are captured by a 3 CCD camera using a reflective-based pseudo-vision system. These images are then separated by the different CCD channels, and the correlation algorithm for the multi-camera DIC system is adopted to evaluate the images. Compared to the conventional multi-camera DIC system, the proposed system is much more compact. In addition, the proposed system has no loss of spatial resolution, compares to the traditional single camera DIC system. The complex surface measurement ability and the measurement accuracy is significantly improved through the use of the multi-camera DIC algorithm. The principle of the proposed system is described in detail as well as the experimental setup. A series of validation tests are performed, and the results are verified with the commercial 3 D-DIC system.

关键词： digital image correlation 3D-DIC single camera multi-perspective

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Tool Wear Prediction with External Signals Based on Lightweight Deep Learning Model

Tool Wear Prediction with External Signals Based on Lightwei...

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Chinese Automation Congress (CAC)

作者： Liyang Zheng Yuan Jiang Yu Zhang Jincheng Guo College of Control Science and Engineering Zhejiang University Hangzhou China School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China School of Electronic Information and Communications Huazhong University of Science and Technolog Wuhan China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

The discontinuity in the milling process makes the tool wear rapidly, which will affect the workpieces' precision and quality. But it is difficult to predict tool wear status with traditional signal processing methods due to inevitable interfering signals. Recently, deep learning algorithms have been widely used because its superiority in solving nonlinear problems. This paper proposes a lightweight convolutional neural network model, which is utilized to enable automatic learning of hierarchical tool wear representation in a short time. Two kinds of external signals and an internal signal are used for experiments. The results show that the classification accuracy of the model based on sound and vibration signals is 98.28% and 97.07%, the prediction from both models have high coefficient with the actual tool wear. Comparisons with related works highlight the effectiveness of our prediction method.

关键词： Tools Vibrations Feature extraction Predictive models Milling Deep learning Convolution

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Online Non-Contact Weighing Duck Carcasses Using 2d Images and Deep Learning

SSRN

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SSRN 2022年

作者： Zhao, Yuliang Tian, Kaixuan Chen, Ruoyu Yang, Yongliang School of Control Engineering Northeastern University Hebei Qinhuangdao066001 China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China School of Cyber Security University of Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China

In the poultry meat processing industry, non-contact weighing methods based on computer vision have become increasingly popular due to their low costs and high efficiency. However, the accuracy of the traditional 2D image weighing techniques is reduced by the overlap and sway of carcasses. In this paper, we propose a more accurate regression model, Vggx, to weigh duck carcasses through image processing and deep learning. We adopt an image segmentation technique to obtain 2D images of a single duck section under a complex background. The images of the same duck are fused together to estimate its 3D information. Then, we use a convolutional neural network regression model to estimate the weight of duck carcass with the acquired 3D information. The Mean Absolute Percentage Error of our model is 1.46% and the average weight error of our model is 23.1 gram. Experimental results demonstrate that our method is high performance. © 2022, The Authors. All rights reserved.

关键词： Image segmentation

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Performance Analysis of Phase Pre-Configured Spatial Modulation Empowered by RIS With Discrete Phase Alphabet

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IEEE Transactions on Vehicular technology 2025年

作者： Liu, Chaowen Shi, Zhengmin Zheng, Tong-Xing Liu, Boyang Wen, Miaowen Wang, Wenjie Lu, Guangyue Xi'an University of Posts and Telecommunications Shaanxi Key Laboratory of Information Communication Network and Security Xi'an710121 China National Key Laboratory of Multi-domain Data Collaborative Processing and Control Xi'an710068 China Xi'an Jiaotong University School of Information and Communications Engineering Xi'an710049 China South China University of Technology School of Electronics and Information Engineering Guangzhou510641 China

In this paper, we are motivated to introduce and investigate a novel reconfigurable intelligent surface assisted phase preconfigured spatial modulation (RIS-PPSM) scheme, which can be employed to achieve reliability enhanced transmissions. In the RIS-PPSM scheme, pre-configured phases are injected at the transmitter, and the reflection coefficients are designed for the RIS with a practical discrete phase alphabet, such that the resolution of transmit antennas is increased, and hence the overall transmission performance is remarkably elevated. Upon utilizing the moment generating function based unified analysis framework, we deduce out the closed-form expressions for the average bit error probability upper bound and discrete input continuous-output memoryless channel capacity. Finally, simulation results are depicted to demonstrate the accuracy of the theoretical analysis and the superiority of the proposed RIS-PPSM. © 1967-2012 IEEE.

关键词： discrete phase alphabet performance analysis phase pre-configuration Reconfigurable intelligent surface (RIS) spatial modulation

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