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arXiv 2020年

作者： Sun, Yuyi Kumar, Swarun He, Shibo Chen, Jiming Shi, Zhiguo State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou310027 China Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States

Imagine when you line up in a store, the person in front of you can make you pay her bill by using a passive wearable device that forces a scan of your credit card without your awareness. An important assumption of today's Near-field Communication (NFC) enabled cards is the limited communication range between the commercial reader and the NFC cards - a distance below 5 cm. Previous approaches to attacking this assumption effectively use mobile phones and active relays to enlarge the communication range, in order to attack the NFC cards. However, these approaches require a power supply at the adversary side, and can be easily localized when mobile phones or active relays transmit NFC signals. We propose ReCoil, a system that uses wearable passive relays to attack NFC cards by expanding the communication range to 49.6 centimeters, a ten-fold improvement over its intended commercial distance. ReCoil is a magnetically coupled resonant wireless power transfer system, which optimizes the energy transfer by searching the optimal geometry parameters. Specifically, we first narrow down the feasible area reasonably and design the ReCoil-Ant Colony Algorithm such that the relays absorb the maximum energy from the reader. In order to reroute the signal to pass over the surface of human body, we then design a half waist band by carefully analyzing the impact of the distance and orientation between two coils on the mutual inductance. Then, three more coils are added to the system to keep enlarging the communication range. Finally, extensive experiment results validate our analysis, showing that our passive relays composed of common copper wires and tunable capacitors expand the range of NFC attacks to 49.6 centimeters. Copyright © 2020, The Authors. All rights reserved.

关键词： Energy transfer

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Performance Analysis of Vehicular Localization Accuracy With Non-Line-of-Sight Identification

Performance Analysis of Vehicular Localization Accuracy With...

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General Assembly and Scientific Symposium, URSI

作者： Weicheng Zhao Ruisi He Bo Ai Chen Huang Mi Yang Zhangdui Zhong Haoxiang Zhang School of Electronic and Information Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China School of Computer and Information Technology Beijing Jiaotong University Beijing China China Academy of Industrial Internet Ministry of Industry and Information Technology Beijing China

Recently, vehicular localization has drawn a lot of attention due to increasing location-based applications in vehicular ad-hoc networks (VANETs). However, similar to the conventional localization problem, vehicular localization suffers from the biases caused by non-line-of-sight (NLOS) propagation. To reduce its impact, NLOS identification and mitigation are commonly used, where the accuracy of NLOS identification is crucial. This paper aims to investigate the relationship between localization performance and misidentification of NLOS. The impacts to vehicle localization accuracy of two types of NLOS misidentification, namely false and miss respectively, are analyzed. It is demonstrated with Monte Carlo simulations that those two factors have different impacts on localization accuracy. Furthermore, the dominating factor of localization for different scenarios with two types of localization strategies is concluded, which could be further used to chose the strategy leading to higher localization accuracy in different scenarios.

关键词： Location awareness Monte Carlo methods Error analysis Ad hoc networks Performance analysis

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Two-party quantum private comparison based on eight-qubit entangled state

arXiv

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arXiv 2021年

作者： Fan, Peiru Ur Rahman, Atta Ji, Zhaoxu Ji, Xiangmin Hao, Zhiqiang Zhang, Huanguo China Industrial Control Systems Cyber Emergency Response Team Beijing100040 China College of Computer Information Science Fujian Agriculture and Forestry University Fuzhou35002 China Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University Wuhan430072 China

The purpose of quantum private comparison (QPC) is to solve "Tiercé problem" using quantum mechanics laws, where the "Tiercé problem" is to judge whether the secret data of two participants are equal under the condition of protecting data privacy. Here we consider for the fist time the usefulness of eight-qubit entangled states for QPC by proposing a new protocol. The proposed protocol only adopts necessary quantum technologies such as preparing quantum states and quantum measurements without using any other quantum technologies (e.g., unitary operations and entanglement swapping), thus the protocol have advantages in quantum device consumption. The measurements adopted only include single-particle measurements, which is easier to implement than entangled-state measurements under the existing technical conditions. The proposed protocol takes advantage of the entanglement characteristics of the eight-qubit entangled state, and uses joint computation, decoy photon technology, the keys generated by a quantum key distribution protocol to ensure data privacy. We show that when all single-particle measurements in the proposed protocol are replaced by Bell measurements, the purpose of the protocol can also be achieved. We also show that the proposed protocol can be changed into a semi-quantum protocol with a few small changes. Copyright © 2021, The Authors. All rights reserved.

关键词： Data privacy

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Mandatory Lane Change Strategy in VANET Based on Coordinated Stackelberg Game Model

Mandatory Lane Change Strategy in VANET Based on Coordinated...

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第32届中国控制与决策会议

作者： Ding Nan Akira Maria Meng Xianghua Nasibullah Di Wu Department of Computer Science and Technology Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Dalian University of Technology Electronics and Communication Science Unit Indian Statistical Institute Department of Control Theory and Control Engineering Dalian University of Technology

Despite the unavailability of intersections and turns,expressway has several lane closures and *** lane change takes place when the geographical condition requires the vehicles to shift lane,such as,exits,on and *** to a high-speed regulation on the expressway,it is more difficult and riskier to shift lane,therefore better strategies for semi-automation vehicles have to be implemented for the users’ *** paper studies the efficiency of the Stackelberg based algorithm for safer mandatory lane maneuver,yet still with appropriate *** paper also utilizes model predictive controller（MPC） to predict the motions of surrounding vehicles a few time steps in the future to model the probabilities of subject vehicles to *** we consider the costs,MPC and the game to output the best time for subject vehicle to ***,we simulate the algorithm to determine if it is efficient by comparing it to other existing algorithms and breaking the simulation down to various indicators.

关键词： Lane Change Strategy Vehicle-to-vehicle Mandatory Lane Change Model Predictive controller Game Theory

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Model based reinforcement learning for robot grasping trajectory generation 4

Model based reinforcement learning for robot grasping trajec...

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4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019

作者： Xue, Hongxiang Wen, Shuhuan Yang, Chao Liu, Huaping Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao066004 China Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and System Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing100084 China

ISBN: (纸本)9781728100647

Trajectory generation is a fundamental problem for successful robotic grasping. However, most of the existing work dealt with this problem using supervised learning with a prescribed model. It prevents the developed grasp strategies from being used for new unknown scenarios. In this paper, inspired by the success of the reinforcement learning method, we developed a new method which optimizes grasp trajectories using a policy search method. An important advantage of the proposed method is that the complicated 3D model could be used to generate the multi-dimensional grasp configurations. The developed algorithm has been validated on some typical robotic hand. The experimental results show that the proposed method achieves excellent performance. © 2019 IEEE.

关键词： Trajectories

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Privacy-preserving dynamic average consensus via state decomposition: Case study on multi-robot formation control

arXiv

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arXiv 2020年

作者： Zhang, Kaixiang Li, Zhaojian Wang, Yongqiang Louati, Ali Chen, Jian Department of Mechanical Engineering Michigan State University East LansingMI48824 United States Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

In this paper, the problem of privacy preservation in the continuous-time dynamic average consensus is addressed by using a state decomposition scheme. We first show that for a conventional dynamic average consensus algorithm, the external eavesdropper can successfully wiretap the reference signals of each local agent. Then, to provide privacy protection against the eavesdropper, a state decomposition scheme is proposed. The main idea of the proposed scheme is to decompose the original state of each agent into two sub-states. One of the two sub-states succeeds the role of the original state in inter-node interactions, while the other sub-state is invisible to other neighboring agents and only communicates with the first sub-state of the same agent. The new reference signals for the two sub-states can be constructed randomly under certain constraints, which ensures that the convergence properties of the consensus algorithm can be retained. Theoretical analysis shows that under the state decomposition scheme, the eavesdropper cannot discover the private reference signals of each agent with any guaranteed accuracy. Moreover, the proposed privacy-preserving consensus algorithm is successfully applied to solve a formation control problem for multiple nonholonomic mobile robots. Numerical simulation is provided to demonstrate the effectiveness of the proposed approach. Copyright © 2020, The Authors. All rights reserved.

关键词： Signal processing

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Adaptive Robust control of Multi-Machine Power Systems with control Time Delay

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Journal of Harbin Institute of Technology(New Series) 2018年第4期25卷 48-55页

作者： Zhongqiang Wu Feng Li Chunqi Du Wei Zhang Key Lab of Industrial Computer Control Engineering of Hebei Province College of Electrical EngineeringYanshan University

The adaptive H_∞ control problem of multi-machine power system in the case of disturbances and uncertain parameters is discussed,based on a Hamiltonian *** the effect of time delay during control and transmission,a Hamilton model with control time delay is ***-Krasovskii function is selected,and a controller which makes the system asymptotically stable is *** controller not only achieves the stability control for nonlinear systems with time delay,but also has the ability to suppress the external disturbances and adaptive ability to system parameter *** simulation results show the effect of the controller.

关键词： multi machine power systems time delay H∞ control uncertain parameters disturbance

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Boost AI power: Data augmentation strategies with unlabelled data and conformal prediction, a case in alternative herbal medicine discrimination with electronic nose

arXiv

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arXiv 2021年

作者： Liu, Li Zhan, Xianghao Wu, Rumeng Guan, Xiaoqing Wang, Zhan Zhang, Wei Pilanci, Mert Wang, You Luo, Zhiyuan Li, Guang The State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China Department of Bioengineering Stanford University StanfordCA94305 United States The Computer Learning Research Center Royal Holloway University of London Egham Hill Surrey EghamTW20 0EX United Kingdom Department of Electrical Engineering Stanford University StanfordCA94305 United States

Electronic nose has been proven effective in alternative herbal medicine classification, but due to the nature of supervised learning, previous research heavily relies on the labelled training data, which are time-costly and labor-intensive to collect. To alleviate the critical dependency on the training data in real-world applications, this study aims to improve classification accuracy via data augmentation strategies. The effectiveness of five data augmentation strategies under different training data inadequacy are investigated in two scenarios: the noise-free scenario where different availabilities of unlabelled data were considered, and the noisy scenario where different levels of Gaussian noises and translational shift were added to represent sensor drifts. The five augmentation strategies, namely noise-adding data augmentation, semi-supervised learning, classifier-based online learning, Inductive Conformal Prediction (ICP) online learning and our novel ensemble ICP online learning (EICP) proposed in this study, are compared against supervised learning baselines, with Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM) as the classifiers. This study provides a systematic analysis of different augmentation strategies. Our novel strategy, EICP, outperforms the others by showing non-decreasing classification accuracy on all tasks and a significant improvement on most simulated tasks (25 out of 36 tasks, p ≤ 0.05), which demonstrated both effectiveness and robustness in boosting the classification model generalizability. This strategy can be employed in other machine learning applications. Copyright © 2021, The Authors. All rights reserved.

关键词： Electronic nose

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Joint Trajectory and Resource Optimization for UAV-Relayed Multiuser SWIPT

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IEEE Transactions on Wireless Communications 2025年

作者： Ru, Xuefei Li, Bo Jiang, Xu Wang, Gang Zhao, Nan Nallanathan, Arumugam Harbin Institute of Technology Communication Research Center Harbin150001 China School of Information Science and Engineering Weihai264209 China Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Queen Mary University of London School of Electronic Engineering and Computer Science LondonE1 4NS United Kingdom Kyung Hee University Department of Electronic Engineering Gyeonggi-do Yongin-si17104 Korea Republic of

Unmanned aerial vehicle (UAV) assisted relaying has become the focus of the next generation network owing to its superiority of low cost and swift deployment. In addition, the orthogonal frequency division multiplexing (OFDM) based simultaneous wireless information and power transfer (SWIPT) is known to have significant advantages in system complexity compared to the traditional time-switching (TS) and power-splitting (PS) techniques. Since the UAV is known to have limited size, weight and power, we investigate the OFDM-based SWIPT for a multi-source-destination UAV relaying system in this paper. With the purpose of maximizing the average transmission rate (ATR) under the constraint of the harvested energy, we jointly optimize user scheduling, resource allocation and UAV trajectory. To tackle this issue, we first divide it into three subproblems of user scheduling, power and subcarrier allocation, and UAV trajectory optimization. Subsequently, the user scheduling subproblem is optimally solved. The power and subcarrier subproblem is approximately solved by addressing its dual problem and the UAV trajectory optimization subproblem is addressed by successive convex approximation technique. Then, we put forward an iterative algorithm based on block coordinate descent method by solving the three subproblems alternately. Numerical results demonstrate that our proposed algorithm is preferable than the two benchmark schemes. © 2002-2012 IEEE.

关键词： Orthogonal frequency division multiplexing

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Fuzzy Rate Analysis of Operators and its Applications in Linear Spaces

Research Square

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Research Square 2021年

作者： Zhang, Yijin Li, Honggang Jin, Maoming Lin, Zongbing Nanjing Changjiang Waterway Engineering Bureau China Key Lab of Intelligent Analysis and Decision on Complex Systems Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing400065 China Pass College Chongqing Technology and Business University Chongqing401520 China Institute of Nonlinear Analysis Research Changjiang Normal University Chongqing400803 China School of Mathematics and Computer Science Panzhihua University Panzhihua617000 China

In this paper, a new concept, the fuzzy rate of an operator in linear spaces is proposed for the very first time. Some properties and basic principles of it are studied. Fuzzy rate of an operator B which is specific i... 详细信息

关键词： Membership functions

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