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arXiv 2024年

作者： Yue, Xinwei Xie, Jin Ouyang, Chongjun Liu, Yuanwei Shen, Xia Ding, Zhiguo The Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China The Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China The School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China The School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom Beijing100191 China The Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi United Arab Emirates Department of Electrical Engineering Princeton University Princeton United States

The novel active simultaneously transmitting and reflecting surface (ASTARS) has recently received a lot of attention due to its capability to conquer the multiplicative fading loss and achieve full-space smart radio environments. This paper introduces the ASTARS to assist non-orthogonal multiple access (NOMA) communications, where the stochastic geometry theory is used to model the spatial positions of pairing users. We design the independent reflection/transmission phase-shift controllers of ASTARS to align the phases of cascaded channels at pairing users. We derive new closed-form and asymptotic expressions of the outage probability and ergodic data rate for ASTARS-NOMA networks in the presence of perfect/imperfect successive interference cancellation (pSIC). The diversity orders and multiplexing gains for ASTARS-NOMA are derived to provide more insights. Furthermore, the system throughputs of ASTARS-NOMA are investigated in both delay-tolerant and delay-limited transmission modes. The numerical results are presented and show that: 1) ASTARS-NOMA with pSIC outperforms ASTARS assisted-orthogonal multiple access (ASTARS-OMA) in terms of outage probability and ergodic data rate;2) The outage probability of ASTARS-NOMA can be further reduced within a certain range by increasing the power amplification factors;3) The system throughputs of ASTARS-NOMA are superior to that of ASTARS-OMA in both delay-limited and delay-tolerant transmission modes. Copyright © 2024, The Authors. All rights reserved.

关键词： Stochastic systems

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Multi-satellite Mission Planning Algorithm Based on Preemptive Priority Model

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Journal of Computers (Taiwan) 2023年第1期34卷 225-238页

作者： Gan, Hai-Ping Cao, Lin Song, Pei-Ran Cao, Xiao-Peng Du, Bing-Nan Du, Kang-Ning Guo, Ya-Nan School of Information and Communication Engineering Beijing Information Science and Technology University Beijing100101 China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China

Aiming at the problems of high time-consuming and insufficient guarantee of high-priority task completion in the large-scale multi-satellite multi-observation mission planning application, a multi-satellite multi-mission planning model based on preemptive priority model is proposed. Combined with the whole-neighborhood greedy search strategy, an improved tabu search algorithm is designed, taking the combination of satellite observation windows as the decision variables. The designed algorithm realizes an efficient solver to the proposed mission planning model. The simulation results show that the average solving time of the algorithm is 144s under the problem scale of 100 satellites and 3000 tasks. Compared with the existing algorithm, the calculation time is shortened by at least 75% under the premise that the total number of planning tasks is comparable, which is more in line with the high time efficiency requirements for satellite mission planning in engineering applications. © 2023 Authors. All rights reserved.

关键词： Tabu search

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Modulated-Virtual-Vector-Based Predictive Current control for Dual Three-Phase PMSM With Enhanced Steady-State Performance

Modulated-Virtual-Vector-Based Predictive Current Control fo...

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Annual Conference of Industrial Electronics Society

作者： Ze Li Xingyu Zheng Jinhui Xia Liling Wang Yuanbo Guo Xiaonan Gao Zhiheng Liu Xiaohua Zhang College of Electronic and Information Engineering Hebei University Baoding China School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering (Southeast University) Ministry of Education Southeast University Nanjing China School of Electrical Engineering Dalian University of Technology Dalian China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden The School of Electrical Engineering Dalian University of Technology Dalian China

Dual three-phase permanent magnet synchronous machine (DTP-PMSM) has attracted great attention due to its high reliability and high-power output capacities. However, the conventional single-voltage-vector-based predictive current control (SV-PCC) for DTP-PMSM presents high torque ripple and current harmonics, and high computational burden. To solve those issues, a modulated-virtual-vector-based PCC (MVV-PCC) for DTP-PMSM is proposed in this paper. Wherein, twenty-four VVs are synthesized by the inherent voltage vectors, and two VVs and one zero voltage vector with optimal duty cycles are determined and applied in each sampling period to improve the steady-state performance. The selection of optimal VVs and the calculation of the optimal duty cycles are simplified by integrating the deadbeat control and modulation scheme. Various comparisons are carried out to validate the effectiveness and superiority of the proposed MVV-PCC strategy.

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Attributes Grouping and Mining Hashing for Fine-Grained Image Retrieval

arXiv

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arXiv 2023年

作者： Lu, Xin Chen, Shikun Cao, Yichao Zhou, Xin Lu, Xiaobo School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing China Nanjing Enbo Technology Co. Ltd. Nanjing China

In recent years, hashing methods have been popular in the large-scale media search for low storage and strong representation capabilities. To describe objects with similar overall appearance but subtle differences, more and more studies focus on hashing-based fine-grained image retrieval. Existing hashing networks usually generate both local and global features through attention guidance on the same deep activation tensor, which limits the diversity of feature representations. To handle this limitation, we substitute convolutional descriptors for attention-guided features and propose an Attributes Grouping and Mining Hashing (AGMH), which groups and embeds the category-specific visual attributes in multiple descriptors to generate a comprehensive feature representation for efficient fine-grained image retrieval. Specifically, an Attention Dispersion Loss (ADL) is designed to force the descriptors to attend to various local regions and capture diverse subtle details. Moreover, we propose a Stepwise Interactive External Attention (SIEA) to mine critical attributes in each descriptor and construct correlations between fine-grained attributes and objects. The attention mechanism is dedicated to learning discrete attributes, which will not cost additional computations in hash codes generation. Finally, the compact binary codes are learned by preserving pairwise similarities. Experimental results demonstrate that AGMH consistently yields the best performance against state-of-the-art methods on fine-grained benchmark datasets. Copyright © 2023, The Authors. All rights reserved.

关键词： Hash functions

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3D printed fiber-optic nanomechanical bioprobe

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International Journal of Extreme Manufacturing 2023年第1期5卷 222-234页

作者： Mengqiang Zou Changrui Liao Yanping Chen Lei Xu Shuo Tang Gaixia Xu Ke Ma Jiangtao Zhou Zhihao Cai Bozhe Li Cong Zhao Zhourui Xu Yuanyuan Shen Shen Liu Ying Wang Zongsong Gan Hao Wang Xuming Zhang Sandor Kasas Yiping Wang Guangdong and Hong Kong Joint Research Centre for Optical Fibre Sensors College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060People’s Republic of China School of Electronic and Communication Engineering Shenzhen PolytechnicShenzhen 518000People’s Republic of China Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging School of Biomedical EngineeringHealth Science CenterShenzhen UniversityShenzhen 518055People’s Republic of China Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060People’s Republic of China Laboratory of Food and Soft Materials Department of Health Sciences and TechnologyETH Zurich8092 ZurichSwitzerland Wuhan National Laboratory for Optoelectronics(WNLO) Huazhong University of Science and Technology(HUST)Wuhan 430074People’s Republic of China Department of Applied Physics The HongKong Polytechnic UniversityHong KongPeople’s Republic of China Laboratory of Biological Electron Microscopy Ecole Polytechnique Fédérale de Lausanne1015 LausanneSwitzerland UnitéFacultaire d’Anatomie et de Morphologie(UFAM) CUMRLUniversity of Lausanne1005 LausanneSwitzerland

Ultrasensitive nanomechanical instruments,*** force microscopy(AFM),can be used to perform delicate biomechanical measurements and reveal the complex mechanical environment of biological ***,these instruments are limited because of their size and complex feedback *** this study,we demonstrate a miniature fiber optical nanomechanical probe(FONP)that can be used to detect the mechanical properties of single cells and in vivo tissue measurements.A FONP that can operate in air and in liquids was developed by programming a microcantilever probe on the end face of a single-mode fiber using femtosecond laser two-photon polymerization *** realize stiffness matching of the FONP and sample,a strategy of customizing the microcantilever’s spring constant according to the sample was proposed based on structure-correlated *** a proof-of concept,three FONPs with spring constants varying from 0.421 N m^(−1)to 52.6 N m^(−1)by more than two orders of magnitude were *** highest microforce sensitivity was 54.5 nmμN^(−1)and the detection limit was 2.1 *** Young’s modulus of heterogeneous soft materials,such as polydimethylsiloxane,muscle tissue of living mice,onion cells,and MCF-7 cells,were successfully measured,which validating the broad applicability of this *** strategy provides a universal protocol for directly programming fiber-optic ***,this method has no special requirements for the size and shape of living biological samples,which is infeasible when using commercial *** has made substantial progress in realizing basic biological discoveries,which may create new biomedical applications that cannot be realized by current AFMs.

关键词： two-photon polymerization nanolithography optical fiber sensor nanomechanical probe stiffness tunable microcantilever biosensor

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Robust Vehicle Detection in High-Resolution Aerial Images With Imbalanced Data

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2021年第3期2卷 238-250页

作者： Li, Xianghui Li, Xinde Li, Zhijun Xiong, Xinran Khyam, Mohammad Omar Sun, Changyin The Laboratory of Measurement Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China School of Cyber Science and Engineering Southeast University Nanjing210096 China The Department of Automation University of Science Technology of China Hefei230027 China The Department of Faculty of Science McGill University MontréalQCH3A 0G4 Canada The School of Engineering and Technology Central Queensland University MelbourneVIC3000 Australia

Vehicle detection in images from unmanned aerial vehicles (UAVs) plays an important role in traffic surveillance and urban planning due to the popularity of UAVs. However, the class imbalance problem is an important factor that restricts the performance of vehicle detectors. There are two types of class imbalance in UAV images, i.e., foreground-background imbalance and foreground-foreground imbalance. For anchor-based single stage detector, as many ground truths cannot be assigned to corresponding anchors because of low intersection over union, it makes the foreground-background imbalance problem more severe. Therefore, we propose a novel bag-based single-stage detector, which treats each position on the feature map as a bag. A simple and adaptive definition of bags is proposed along with the positive sample definition method, which is utilized to ensure more ground truths can be assigned to proper bags. In addition, we utilize online hard example mining method to control the proportion of positive and negative samples during the training process. To address the foreground-foreground imbalance, we propose a novel data augmentation algorithm, which allows us to create appropriate visual context for under-represented class. Extensive experiments demonstrate the superiority of the proposed algorithm, compared with other state-of-the-art solutions. Impact Statement-Recently, unmanned aerial vehicles (UAVs) are widely used in intelligent transportation due to their low price and high flexibility, which makes vehicle detection in UAV images important for automatically gathering of traffic information. However, the class imbalance problem, which is common in object detection where some classes have far fewer frequencies in the dataset, has an adverse effect on the performance of vehicle detectors. The data augmentation method and deep learning based vehicle detector proposed in this article are able to reduce the negative impact and improve detection performance by at leas

关键词： Object detection

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A deconstruction and quantification strategy for the reversible efficiency of solid oxide cell systems in an entire cycle

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Energy Conversion and Management 2025年 340卷

作者： Liu, Guoqiang Wang, Zhen Kupecki, Jakub Zhou, Yihuan Peng, Jingxuan Ji, Yulong Li, Xi Marine Engineering College Dalian Maritime University Liaoning Dalian116026 China Ministry of Education Hubei Wuhan430074 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan430074 China Institute of Power Engineering Augustowka 36 Warsaw02-981 Poland Institute of Power Engineering – National Fuel Cell Research Center Mory 8 Warsaw01-330 Poland University of California Irvine Engineering Laboratory Facility IrvineCA92697-3550 United States School of Control Science and Engineering Zhejiang University Zhejiang Hangzhou310007 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore Belt and Road Joint Laboratory on Measurement and Control Technology Huazhong University of Science and Technology Hubei Wuhan430074 China

High-temperature solid oxide cell (SOC) technology is a promising solution for peak shaving and valley filling in intermittent renewable energy microgrids due to its high efficiency and reversibility. Energy conversion is typically done in units of one charge/discharge cycle;however, a precise definition of the SOC system efficiency in continuous switching cycles has not yet been found, particularly lacking unrestricted quantification of reversible efficiency and mode scheduling optimization. This paper proposes, for the first time, the concept of generalized reversible efficiency (GRT) for SOC systems, along with a novel deconstruction and quantification strategy to solve the optimal GRT of such systems over an entire cycle. Specifically, the switching efficiency analysis is based on an energy-flow model of the reversible SOC system, which incorporates a secondary heat recovery process. An algorithmic strategy consisting of an improved decomposition-based multi-objective differential evolution algorithm is designed to optimize GRT under multiple constraints. Results indicate that GRT can be converted into cycle P2G2P (Power to Gas to Power) in any direction. The global maximum GRT is around 60.4%, occurring at the lower point of the medium capacity (denoted as γ, γ≈ 160). The optimal GRT decreases with increasing γ, exhibits a trade-off with the discharge efficiency, and is affected by thermal dissipation and internal energy losses, especially during discharge. © 2025 Elsevier Ltd

关键词： Multiobjective optimization

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A Robust and Scalable One-PUF-to-Many Authentication and Key Agreement Scheme for Mobile communication Network

A Robust and Scalable One-PUF-to-Many Authentication and Key...

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International Conference on Networking and Network Applications (NaNA)

作者： Yiteng Wang Zhe Ren Wei Wang Science and Technology on Communication Information Security Control Laboratory The 36th Research Institute of China Electronics Technology Group Corporation Jia'xing China School of Cyber Engineering Xidian University Xi'an China

Under the multi-cloud environment of mobile communication networks, unattended terminals would possibly be involved in different tasks. For the network security, terminals should be authenticated by cloud service providers (CSPs) before being involved in various tasks. As a new cryptology primitive, Physical Unclonable Function (PUF) can be served as a trusted root for unattended terminals and provide security property against physical attacks, based on which physical secure authentication can be executed. However, applying the PUF directly to the multi-cloud environment caused the authentication scheme to rely on the storage of the primitive challenge-response pairs, and there was a single point of failure problem. To solve these issues, we propose an authentication and key agreement scheme named RSOPM for secure authentication between terminals and CSPs. Specifically, mutual authentication without the storage of the primitive challenge-response pairs on the cloud is enabled by exploiting the trapdoor collision property of the chameleon hash function. Moreover, the redactable blockchain containing distributed registration information makes a terminal register only once, and then the terminal gains access to the various CSPs. The security properties are discussed to show our scheme resists various attacks. The results of experiments show that the overall delay is reduced by 33 % compared to other multi-cloud authentication schemes.

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Research on Mapping Method Between Smart Energy and Intelligent Sensing Terminal

Research on Mapping Method Between Smart Energy and Intellig...

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2022 IEEE International Conference on High Voltage engineering and Applications, ICHVE 2022

作者： Liu, Siyang Mao, Yuxing Long, Yunfeng Pan, Jianyu Jiang, Tianyan Nie, Yongjie School of Electrical Engineering Chongqing University State Key Laboratory of Power Equipment & System Security and New Technology Chongqing China Electric Power Measurement Digitalization Control and Protection Yunnan Power Grid Co. Ltd. Yunnan Key Laboratory of Green Energy Yunnan Kunming China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

In the process of smart city construction, each city has its characteristics, so we should implement policies according to the city. Smart energy is an important cornerstone of smart city construction. This paper proposes a mapping method between smart energy and Intelligent Sensing Terminal. Firstly, a typical application scenario design of the smart city is proposed. Then, the smart city application scenario fitness calculation model is given combined with the analysis of macro and micro scenes. Finally, Intelligent Sensing Terminal and scene mapping mechanism are proposed by a new two-dimensional coding method. This method can quickly and effectively calculate the location to be arranged and the optimal number of devices, so as to reduce resource consumption and improve the quality of perceived data. © 2022 IEEE.

关键词： Smart city

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The Suppression Mechanism of Parasitic Capacitance for Comb Capacitor Fabricated with Silicon-On-Insulation

The Suppression Mechanism of Parasitic Capacitance for Comb ...

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IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS)

作者： Renjie Tan Juan Yang Libo Zhao Xiangguang Han Wei Li Yong Xia Yi Gao Chengying Wang Zhuangde Jiang State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies School of Mechanical Engineering Xi’an Jiaotong University Xi’an China China Xi’an Satellite Control Center Xi’an China State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies School of Instrument Science and Technology Xi’an Jiaotong University Xi’an China Xi’an Aerospace Propulsion Institute Xi’an China

ISBN: (数字)9798350359831

ISBN: (纸本)9798350359848

This paper establishes theoretical circuit and electrostatic current multi-physical field simulation models for a typical comb capacitor fabricated with silicon-on-insulation. The influence of related electrical parameters and conditions on equivalent capacitance is revealed by analytical solution and simulation, and several methods are proposed to suppress the interference of parasitic capacitance on ideal capacitance, such as high-resistivity substrate Si, relatively high-frequency excitation, and grounded substrate Si. The models and methods proposed in this paper can provide theoretical guidance for the design and suppression of parasitic capacitance of MEMS (Micro-Electro-Mechanical System) capacitive sensors.

关键词： Micromechanical devices Analytical models Capacitors Silicon Software Nanoscale devices Integrated circuit modeling

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