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Cyber-Physical-Social systems for Smart City: An Implementation Based on Intelligent Loop

IFAC-PapersOnLine 2020年第5期53卷 501-506页

作者： Gang Xiong Xiaoyu Chen Nan Shuo Yisheng Lv Fenghua Zhu Tianci Qu Peijun Ye State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing 100049 China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing The Cloud Computing Center Chinese Academy of Sciences Dongguan 523808 China Graduate School of System Design Tokyo Metropolitan University Tokyo 191-0065 Japan

Cyber-Physical-Social systems (CPSS) provides a novel perspective for constructing “Smart City”, which is also known as the Human-Machine-Things-system (HMTS), focusing on the fusion of ternary space: social network of human society, network of machines and the Internet of things. In this paper, we propose a specific implementation framework of CPSS for Smart City based on intelligent loops, including basic modeling and interactive fusion, state perception and cognition, and adaptive learning. On this basis, an overall architecture of the CPSS platform is designed, which is applied in the urban transportation management in Hangzhou. The application results demonstrate that the intelligent loop could optimize the control and management strategies for actual urban transportation.

关键词： CPSS Intelligent Loop Human-Cyber-Physical Ternary Space

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A Hierarchical Bidirectional LSTM Sequence Model for Extractive Text Summarization in Electric Power systems

A Hierarchical Bidirectional LSTM Sequence Model for Extract...

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International Symposium on Computational Intelligence and Design, ISCID

作者： Wei Jiang Yunfeng Zou Ting Zhao Qiang Zhang Yinglong Ma State Grid Corporation of China Beijing China Marketing Service Center of State Grid Jiangsu Electric Power Co. Ltd Global Energy Interconnection Research Institute Co. Ltd Artificial Intelligence on Electric Power System State Grid Corporation Joint Laboratory Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728184463

ISBN: (纸本)9781728184470

With the increasing volume of documents in electric power systems, it is urgent and necessary for electric power systems managers to efficiently analyze the massive documents and make reasonable decisions by capturing the main points of the document as quickly as possible. The text summarization technique provides a feasible way to efficiently analyze and obtain the main contents residing in the document. In this paper, we present a Hierarchical Bidirectional Long Term Short Memory Sequence model for extractive text summarization in electric power systems in order to efficiently and accurately summarize electric power documents and obtain a summary of the document. Our model is divided into four layers including the embedding layer, the word layer, the sentence layer, and the classification layer in a hierarchical manner. The related experiments were made based on the electric power data set that contains more than 2000 electrical papers, in comparison with the existing approaches based on the CRF, CNN, and RNN models. The experimental results show that the performance based on our approach is superior to the three approaches against the three performance indexes ROUGE-1, ROUGE-2, and ROUGE-L.

关键词： Power systems Feature extraction Mathematical model Logic gates Task analysis Data mining Bit error rate

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Multi-UAV Formation controller Design with Uncertain Dynamics

Multi-UAV Formation Controller Design with Uncertain Dynamic...

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第三十八届中国控制会议

作者： Jialong Zhang Jianguo Yan Bing Xiao Pu Zhang Ge Yang Maolong Lv School of Automation Northwestern Polytechnical University System Engineering Research Institute China State ShipBuilding Corporation Delft Center for Systems and Control Delft University of Technology

Aiming at the flight-instability of the closed-loop system in windy field of three fixed-wing unmanned aerial vehicles(UAVs) formation. In this paper, we design a multi-UAV formation controller to address the flight-stability of multiple UAVs. The problem of flight-stability can be converted to the analysis of dynamic response and steady-state error. The robust control compared with thin membrane control method, it can realize the high speed and close cooperative formation of precision combat. Adding thin membrane is not only capable of reducing the body vibration and steady-state tracking error, but also owns better robustness. The proposed controller can control leader's speed so that follower can track leader in the case of decoupling, while maintaining the consensus of relative speed. The simulation results show that the designed controller integrates the advantages of robust control and thin membrane vibration attenuation. Moreover, this control method can not only improve the response speed, convergence time and stability of the control system, but also realize the aim of the precision cooperative combat ability.

关键词： UAVs formation Flight-instability Thin membrane Body vibration Steady-state error

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Increased terrestrial ecosystem carbon storage associated with global utility-scale photovoltaic installation

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Nature Geoscience 2025年 1-8页

作者： Qingrui Wang Lintao Shao Xinyi Tang Qing Yang Kai Wang Shuchang Tang Ondřej Mašek Gesa Meyer Jan Kleissl Liwei Zhang Mudan Wang Weisheng Wang Stephen Sitch State Key Laboratory of Coal Combustion Huazhong University of Science and Technology Wuhan China Department of New Energy Science and Engineering School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan China China-EU Institute for Clean and Renewable Energy Huazhong University of Science and Technology Wuhan China John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA USA Institute of Carbon Neutrality Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University Beijing China UK Biochar Research Centre School of GeoSciences University of Edinburgh Edinburgh UK Climate Research Division Environment and Climate Change Canada Victoria British Columbia Canada Department of Mechanical and Aerospace Engineering and Center for Energy Research University of California San Diego CA USA State Key Laboratory of Estuarine and Coastal Research East China Normal University Shanghai China Research Institute for Eco-civilization Chinese Academy of Social Sciences Beijing China State Key Laboratory of the Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing China Faculty of Environment Science and Economy University of Exeter Exeter UK

Utility-scale photovoltaic (USPV) stands out as one of the foremost renewable energy technologies crucial for achieving global climate targets, owing to its low carbon footprint. While individual case studies exist, a comprehensive global analysis of the impacts of USPV deployment on land-cover changes and subsequent carbon pool dynamics across diverse ecosystems remains lacking. Here we show that worldwide deployment of USPV plants between 2000 and 2018 would increase the carbon pool of the hosting ecosystem by a total of 2.1 TgC over their lifespans, as revealed by the ensemble mean of multiple datasets. Although the carbon pool changes associated with global USPV deployment currently contribute approximately\({15.9}_{-5.8}^{+1.0}\%\)(\({{{\mathrm{ensemble}}\; {\mathrm{mean}}}}_{-{{\mathrm{difference}}\; {\mathrm{to}}\; {\mathrm{percentile}}}\,25}^{+{{\mathrm{difference}}\; {\mathrm{to}}\; {\mathrm{percentile}}}\,75}\)) (or an average absolute carbon footprint of approximately\({10.5}_{-3.8}^{+0.5}\,{\mathrm{g}}\)CO2-equivalent per kilowatt-hour) of the carbon footprint of USPV plants, this share is projected to increase by around 7-fold by 2050, driven primarily by decreasing photovoltaic manufacturing emissions. Notably, optimizing land management strategies can potentially enhance carbon density in the hosting ecosystem of existing USPV plants by approximately\({3.0}_{-0.4}^{+3.7}\,{\mathrm{kgC}}\,{\mathrm{m}}^{-2}\), thereby facilitating an average reduction of\({4.3}_{-0.2}^{+9.3}\%\)in the carbon footprint of these USPV plants.

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Mechanistic Understanding of Efficient Polyethylene Hydrocracking over Two-Dimensional Platinum-Anchored Tungsten Trioxide

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Angewandte Chemie 2023年第40期135卷

作者： Qimin Zhou Dr. Deliang Wang Prof. Dr. Qingyue Wang Dr. Kailin He Prof. Dr. Khak Ho Lim Prof. Dr. Xuan Yang Prof. Dr. Wen-Jun Wang Prof. Dr. Bo-Geng Li Prof. Dr. Pingwei Liu State Key Laboratory of Chemical Engineering College of Chemical and Biological Engineering Zhejiang University 866 Yuhangtang Rd Hangzhou 310027 Zhejiang P. R. China Institute of Zhejiang University-Quzhou 99 Zheda Rd Quzhou 324000 Zhejiang P. R. China Key Laboratory of Hunan Province for the Synergetic Control and Resource Reuse of the Multi-Pollutants of Flue Gas National Sintering and Pelletizing Equipment System Engineering Research Center Zhongye Changtian International Engineering Co. Ltd. Changsha 410205 Hunan P. R. China

Chemical upcycling of polyethylene (PE) can convert plastic waste into valuable resources. However, engineering a catalyst that allows PE decomposition at low temperatures with high activity remains a significant challenge. Herein, we anchored 0.2 wt.% platinum (Pt) on defective two-dimensional tungsten trioxide (2D WO 3 ) nanosheets and achieved hydrocracking of high-density polyethylene (HDPE) waste at 200–250 °C with a liquid fuel (C 5–18 ) formation rate up to 1456 g products ⋅ g metal species −1 ⋅ h −1 . The reaction pathway over the bifunctional 2D Pt/WO 3 is elucidated by quasi-operando transmission infrared spectroscopy, where (I) well-dispersed Pt immobilized on 2D WO 3 nanosheets trigger the dissociation of hydrogen; (II) adsorption of PE and activation of C−C cleavage on WO 3 are through the formation of C=O/C=C intermediates; (III) intermediates are converted to alkane products by the dissociated H. Our study directly illustrates the synergistic role of bifunctional Pt/WO 3 catalyst in the hydrocracking of HDPE, paving the way for the development of high-performance catalysts with optimized chemical and morphological properties.

关键词： 2D Pt/WO3 HDPE Activation Hydrogen Transfer PE Hydrocracking Quasi-Operando TIR Spectroscopy

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Innentitelbild: Mechanistic Understanding of Efficient Polyethylene Hydrocracking over Two-Dimensional Platinum-Anchored Tungsten Trioxide (Angew. Chem. 40/2023)

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Angewandte Chemie 2023年第40期135卷

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Inside Cover: Mechanistic Understanding of Efficient Polyethylene Hydrocracking over Two-Dimensional Platinum-Anchored Tungsten Trioxide (Angew. Chem. Int. Ed. 40/2023)

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Angewandte Chemie International Edition 2023年第40期62卷

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research on Integrated Navigation Algorithm Based on Radial Basis Function Neural Network

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Journal of Physics: Conference Series 2021年第1期1961卷

作者： Hang Liu Kaicheng Li Qiang Fu Lei Yuan The National Engineering Research Center for Rail Transportation Operation Control System Beijing Jiaotong University Beijing 100044 P.R. China The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 P.R. China

The Qinghai-Tibet Railway is located on the Qinghai-Tibet Plateau in China. Due to its harsh climatic conditions and geographic environment, the line currently uses the Global Position system (GPS) to achieve train positioning. However, the navigation satellites are easily blocked by obstructions such as tunnels, resulting in a decrease in positioning accuracy. The conventional solution is to use multiple sensors such as an inertial navigation system (INS) for data fusion. But in the INS/GPS integrated navigation system, when the GPS signal is lost, the navigation accuracy will still decrease. In order to solve this problem, this paper proposes a radial basis function (RBF) neural network-assisted integrated navigation filtering algorithm. When the two systems are working normally, the measured raw information is used to train the RBF neural network. When the GPS fails, the measured and calculated values of the inertial navigation system are input to the trained network model to obtain the predicted error value, which is corrected to the inertial navigation system to obtain the final navigation information. The MATLAB simulation results show that when the short-term GPS information is missing, the integrated navigation system assisted by the RBF neural network has better estimation accuracy.

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Gradient piezoelectric composites for ultrasonic transducer design and imaging applications

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Journal of Materiomics 2025年第6期11卷

作者： Chenxue Hou Zhaoxi Li Chunlong Fei Qibo Lin Xiaofei Luo Xiongwei Wei Yiheng Yang Qi Lu Yi Quan Guangzhi Dong Zeyu Chen Xiaozhou Lü Weimin Bao Yintang Yang Shaanxi Provincial Key Laboratory of Integrated Circuit and System Integration Faculty of Integrated Circuit Xidian University Xi'an 710071 China The State Key Laboratory of Analog and Mixed-Signal VLSl Institute of Microelectronics University of Macau Macao 999078 China School of Aerospace Science and Technology Xidian University Xi'an 710071 China State Key Laboratory of Precision Manufacturing for Extreme Service Performance College of Mechanical and Electrical Engineering Central South University Changsha 410083 China College of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha 410114 China Hunan Province University Key Laboratory of Intelligent Testing and Control Technology for Engineering Equipment Changsha 410114 China School of Advanced Materials and Nanotechnology Xidian University Xi'an 710126 China Furong Laboratory (Precision Medicine) Changsha 410008 China National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology Xiangya Hospital Central South University Changsha 410008 China Hunan Engineering Research Center of Skin Health and Disease Xiangya Hospital Central South University Changsha 410008 China

Ultrasonic imaging technology has advanced rapidly, the escalating demand for imaging quality has driven the continuous development of ultrasonic transducers featuring high-performance. Among them, the crucial factors constraining the further enhancement of imaging quality are the frequency of the device and the intensity of the echo signal. Piezoelectric composites have become a hotspot for ultrasonic transducers and imaging applications due to their excellent properties. However, due to the limitations of the accuracy of the cutting process, the development of piezoelectric/polymer composites is often undermined by undesirable pseudo-vibrations, especially in high-frequency applications, which will significantly reduce energy conversion efficiency. In this study, a novel design method of 1–3 piezoelectric composites with gradient nanoparticle doped polymer is proposed to eliminate the undesired lateral vibrations. Based on the optimized composites, a high-performance composite ultrasonic transducer with a center frequency of 8.51 MHz is prepared. Compared with the traditional composite transducer, the optimized transducer improves the echo voltage amplitude significantly, reaching nearly 3 times. The above advantages are further verified in high-quality ultrasound and photoacoustic imaging. The optimization method has valuable guidance for the design of high-frequency composite transducers, which have great potential in ultrasonic and photoacoustic imaging applications.

关键词： Piezoelectric composites Ultrasonic transducer Imaging applications Lateral vibration Finite element analysis

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Channel Characterization for Vehicle-to-Infrastructure Communications at the Terahertz Band

Channel Characterization for Vehicle-to-Infrastructure Commu...

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IEEE International Conference on Communications Workshops, ICC

作者： Haofan Yi Ke Guan Bo Ai Danping He Fusheng Zhu Jianwu Dou Zhangdui Zhong State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Beijing Engineering Research Center of High-speed Railway Broadband Mobile Communications Beijing China Guangdong Communications & Networks Institute Guangzhou China Wireless Algorithm Department Product R&D system ZTE Corporation Shenzhen China

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

Although the vehicular communications began from the era of the Long Term Evolution (LTE), the strict requirements of the vehicular safety and advanced applications force the academic and industrial communities to continue the topic on the next-generation vehicular communications. In order to realize extremely high reliability and low latency, the frequency spectrum of terahertz (THz) band with ultra-large bandwidth is likely to be one of the candidates at the age of beyond 5th-generation communications (B5G). In this paper, a measurement-validated self-developed ray-tracing (RT) simulator of Beijing Jiaotong University is utilized to characterize the vehicle-to-infrastructure (V2I) channel at 300-308 GHz in highway scenario. Corresponding channel parameters, in line with the standard channel models, are then fed into the quasi deterministic radio channel generator (QuaDRiGa), which is a 3GPP 38.901 reference implementation. The differences in path loss and root-mean-square (RMS) delay spread between RT and QuaDRiGa are summarized, respectively. The good agreement in the power domain and the time domain indicates that the channel parameters provided in our work can operate well in the standard channel model. These results can be used to guide the design of the future vehicular communications at the THz band.

关键词： Road transportation Decorrelation Channel models Wireless communication Long Term Evolution MIMO communication

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