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Improved decoy-state quantum key distribution with uncharacterized heralded single-photon sources

Chinese Physics B 2024年第2期33卷 204-208页

作者：徐乐辰张春辉周星宇王琴 Institute of Quantum Information and Technology Nanjing 210003China Broadband Wireless Communication and Sensor Network Technology Key Laboratory of Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China Telecommunication and Networks National Engineering Research Center Nanjing University of Posts and TelecommunicationsNanjing 210003China

Encoding system plays a significant role in quantum key distribution(QKD).However,the security and performance of QKD systems can be compromised by encoding misalignment due to the inevitable defects in realistic *** alleviate the influence of misalignments,a method exploiting statistics from mismatched basis is proposed to enable uncharacterized sources to generate secure keys in *** this work,we propose a scheme on four-intensity decoy-state quantum key distribution with uncharacterized heralded single-photon *** only requires the source states are prepared in a two-dimensional Hilbert space,and can thus reduce the complexity of practical ***,we carry out corresponding numerical simulations and demonstrate that our present four-intensity decoy-state scheme can achieve a much higher key rate compared than a three-intensity decoy-state method,and meantime it can obtain a longer transmission distance compared than the one using weak coherent sources.

关键词： quantum key distribution heralded single-photon source decoy-state method

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Automatic Recognition of Construction Worker Activities Using Deep Learning Approaches and Wearable Inertial Sensors

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Intelligent Automation & Soft Computing 2023年第5期36卷 2111-2128页

作者： Sakorn Mekruksavanich Anuchit Jitpattanakul Department of Computer Engineering School of Information and Communication TechnologyUniversity of PhayaoPhayao56000Thailand Department of Mathematics Intelligent and Nonlinear Dynamic Innovations Research CenterFaculty of Applied ScienceKing Mongkut’s University of Technology North BangkokBangkok10800Thailand

The automated evaluation and analysis of employee behavior in an Industry 4.0-compliant manufacturingﬁrm are vital for the rapid and accurate diagnosis of work performance,particularly during the training of a new *** techniques for identifying and detecting worker performance in industrial applications are based on computer vision *** widespread com-puter vision-based approaches,it is challenging to develop technologies that assist the automated monitoring of worker actions at external working sites where cam-era deployment is *** the use of wearable inertial sensors,we propose a deep learning method for automatically recognizing the activities of construction *** suggested method incorporates a convolutional neural network,residual connection blocks,and multi-branch aggregate transformation modules for high-performance recognition of complicated activities such as con-struction worker *** proposed approach has been evaluated using standard performance measures,such as precision,F1-score,and AUC,using a publicly available benchmark dataset known as VTT-ConIoT,which contains genuine con-struction work *** addition,standard deep learning models(CNNs,RNNs,and hybrid models)were developed in different empirical circumstances to compare them to the proposed *** an average accuracy of 99.71%and an average F1-score of 99.71%,the experimentalﬁndings revealed that the suggested model could accurately recognize the actions of construction ***,we examined the impact of window size and sensor position on the identiﬁcation efﬁciency of the proposed method.

关键词： Complex human activity recognition wearable inertial sensors deep learning construction workers automatic recognition

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Exploring the effect of fingertip aero-haptic feedforward cues in directing eyes-free target acquisition in VR

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虚拟现实与智能硬件（中英文） 2024年第2期6卷 113-131页

作者： Xiaofei REN Jian HE Teng HAN Songxian LIU Mengfei LV Rui ZHOU Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Institute of Software Chinese Academy of SciencesBeijing 100190China Beijing Engineering Research Center for IoT Software and Systems Beijing University of TechnologyBeijing 100124China

Background The sense of touch plays a crucial role in interactive behavior within virtual spaces,particularly when visual attention is *** haptic feedback has been widely used to compensate for the lack of visual cues,the use of tactile information as a predictive feedforward cue to guide hand movements remains unexplored and lacks theoretical *** This study introduces a fingertip aero-haptic rendering method to investigate its effectiveness in directing hand movements during eyes-free spatial *** wearable device incorporates a multichannel micro-airflow chamber to deliver adjustable tactile effects on the *** The first study verified that tactile directional feedforward cues significantly improve user capabilities in eyes-free target acquisition and that users rely heavily on haptic indications rather than spatial memory to control their hands.A subsequent study examined the impact of enriched tactile feedforward cues on assisting users in determining precise target positions during eyes-free interactions,and assessed the required learning *** The haptic feedforward effect holds great practical promise in eyeless design for virtual *** aim to integrate cognitive models and tactile feedforward cues in the future,and apply richer tactile feedforward information to alleviate users'perceptual deficiencies.

关键词： Haptic Feedforward Virtual reality Aero-haptic

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Soft-GNN:towards robust graph neural networks via self-adaptive data utilization

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Frontiers of Computer Science 2025年第4期19卷 1-12页

作者： Yao WU Hong HUANG Yu SONG Hai JIN National Engineering Research Center for Big Data Technology and System Service Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China College of Information and Communication National University of Defense TechnologyWuhan 430019China Department of Computer Science and Operations Research Universitéde MontréalMontreal H3C 3J7Canada

Graph neural networks(GNNs)have gained traction and have been applied to various graph-based data analysis tasks due to their high ***,a major concern is their robustness,particularly when faced with graph data that has been deliberately or accidentally polluted with *** presents a challenge in learning robust GNNs under noisy *** address this issue,we propose a novel framework called Soft-GNN,which mitigates the influence of label noise by adapting the data utilized in *** approach employs a dynamic data utilization strategy that estimates adaptive weights based on prediction deviation,local deviation,and global *** better utilizing significant training samples and reducing the impact of label noise through dynamic data selection,GNNs are trained to be more *** evaluate the performance,robustness,generality,and complexity of our model on five real-world datasets,and our experimental results demonstrate the superiority of our approach over existing methods.

关键词： graph neural networks node classification label noise robustness

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Wide Stopband Substrate Integrated Waveguide Filter Using Bisection and Trisection Coupling in Multilayer

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Chinese Journal of Electronics 2024年第2期33卷 436-442页

作者： Peng CHU Jianguo FENG Peng ZHU Lei GUO Long ZHANG Leilei LIU Guoqing LUO Ke WU College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunications National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology School of Information and Communication Engineering Dalian University of Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Sun Yat-sen University College of Electronics and Information Engineering Shenzhen University School of Electronics and Information Hangzhou Dianzi University Poly-Grames Research Center Polytechnique Montreal

This article presents a highly efficient method for substrate-integrated-waveguide（SIW） filters to achieve very wide stopbands. By employing the proposed trisection slots in addition to the bisection slots as the inter-coupling structures, all spurious modes below TE505 of a SIW filter working in the fundamental mode TE101（f0）can be eliminated without requiring additional structure or complex theoretical analysis, without affecting the design of the fundamental passbands, and without degrading the performance of the filters. For verification, two prototype filters are designed, fabricated, and measured with wide stopbands up to 4.15f0 and 4.83f0, respectively. The proposed technique could facilitate the development of high-performance wide-stopband SIW filters for microwave/wireless circuits and systems.

关键词： Bandpass filter Wide stopband Substrate integrated waveguide Spurious mode suppression Multilayer

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Gait Learning Reproduction for Quadruped Robots Based on Experience Evolution Proximal Policy Optimization

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Journal of Shanghai Jiaotong University (Science) 2023年 1-9页

作者： Li, Chunyang Zhu, Xiaoqing Ruan, Xiaogang Liu, Xinyuan Zhang, Siyuan Faculty of Information Technology Beijing University of TechnologyBeijing Key Laboratory of Computational Intelligence and Intelligent SystemEngineering Research Center of Digital Community of Ministry of Education Beijing100124 China

Bionic gait learning of quadruped robots based on reinforcement learning has become a hot research topic. The proximal policy optimization (PPO) algorithm has a low probability of learning a successful gait from scratch due to problems such as reward sparsity. To solve the problem, we propose a experience evolution proximal policy optimization (EEPPO) algorithm which integrates PPO with priori knowledge highlighting by evolutionary strategy. We use the successful trained samples as priori knowledge to guide the learning direction in order to increase the success probability of the learning algorithm. To verify the effectiveness of the proposed EEPPO algorithm, we have conducted simulation experiments of the quadruped robot gait learning task on Pybullet. Experimental results show that the central pattern generator based radial basis function (CPG-RBF) network and the policy network are simultaneously updated to achieve the quadruped robot’s bionic diagonal trot gait learning task using key information such as the robot’s speed, posture and joints information. Experimental comparison results with the traditional soft actor-critic (SAC) algorithm validate the superiority of the proposed EEPPO algorithm, which can learn a more stable diagonal trot gait in flat terrain. © 2023, Shanghai Jiao Tong University.

关键词： Bionics

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research on the Influence of Fluid Channel Structural Parameters on Ink Droplet Ejection Characteristics of Piezoelectric Inkjet Printheads Based on the Lumped Element Method 15th

Research on the Influence of Fluid Channel Structural Parame...

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15th China Academic Conference on Printing and Packaging, CACPP 2024

作者： Wu, Qiumin Zhu, Huimin Su, Xin Cao, Meijuan Luo, Yichao Faculty of Printing Packing Engineering and Digital Media Technology Xi’an University of Technology Shaanxi China Beijing Engineering Research Center of Printed Electronics Beijing Institute of Graphic Communication Beijing China

ISBN: (纸本)9789819644667

Piezoelectric inkjet printing technology has wide applications in electronics manufacturing, additive manufacturing, and printing. The fluid channel structure parameters of the printhead are crucial factors affecting droplet ejection. This paper focuses on the bending-type piezoelectric inkjet printhead. Based on the Lumped Element Model (LEM), each component of the printhead is represented by corresponding ideal circuit elements. The coupling of the electrical, mechanical, and fluid energy domains is achieved by connecting all circuit elements into an equivalent circuit, establishing a lumped element model for the piezoelectric inkjet printhead. This study investigates the influence of fluid channel structure parameters on droplet ejection characteristics, with the main parameters being pressure chamber height, nozzle thickness, and flow restrictor width. The optimal structural dimensions for each part of the printhead were determined and validated through simulations. The results show that the lumped element model established in this paper has a short computation time and high accuracy. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Drops

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A multi process value-based reinforcement learning environment framework for adaptive traffic signal control

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Journal of Control and Decision 2023年第2期10卷 229-236页

作者： Jie Cao Dailin Huang Liang Hou Jialin Ma College of Computer and Communication Lanzhou University of TechnologyLanzhouPeople’s Republic of China Engineering Research Center of Manufacturing Information of Gansu Province LanzhouPeople’s Republic of China

Realising adaptive traffic signal control(ATSC)through reinforcement learning(RL)is an important means to easetraffic *** paper finds the computing power of the central processing unit(CPU)cannot fully usedwhen Simulation of Urban MObility(SUMO)is used as an environment simulator for *** propose a multi-process framework under ***,we propose a shared memory mechanism to improve exploration ***,we use the weight sharing mechanism to solve the problem of asynchronous multi-process *** also explained the reason shared memory in ATSC does not lead to early local optima of the *** verified in experiments the sampling efficiency of the 10-process method is 8.259 times that of the single *** sampling efficiency of the 20-process method is 13.409 times that of the single ***,the agent can also converge to the optimal solution.

关键词： Adaptive traffic signal control Simulation of Urban MObility multi-process reinforcement learning value-based

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Highly efficient twin-field quantum key distribution with neural networks

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Science China(information Sciences) 2023年第8期66卷 281-282页

作者： Jingyang LIU Qingqing JIANG Huajian DING Xiao MA Mingshuo SUN Jiaxin XU Chun-Hui ZHANG Shipeng XIE Jian LI Guigen ZENG Xingyu ZHOU Qin WANG Institute of Quantum Information and Technology Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Telecommunication and Networks National Engineering Research Center Nanjing University of Posts and Telecommunications

Quantum key distribution(QKD) allows two legitimate parties, Alice and Bob, to share a series of random bits that are secured by the laws of quantum mechanics. As a remarkable theoretical progress towards longer distances, the proposal of twin-field QKD(TF-QKD) [1] shows the capability to break a repeaterless bound and provides a key rate in the square-root scale of channel transmittance(i.e.,

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Seeing is Believing: Detecting the Sybil Attacks in FANETs by Mapping Visual and Auditory Domains

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IEEE Transactions on Vehicular technology 2024年 1-16页

作者： Cui, Yanpeng Zhang, Qixun Feng, Zhiyong Zhou, Ying Wei, Zhiqing Zhang, Ping Peng, Jinlin Key Laboratory of Universal Wireless Communications Ministry of Education School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Artificial Intelligence Research Center National Innovation Institute of Defense Technology Beijing China

As the derivative of the vehicular ad hoc network, the flying ad hoc network (FANET) will play a crucial role in the B5G/6G era since it provides wide coverage and on-demand deployment services in a distributed manner. The detection of Sybil attacks is essential to ensure trusted communication in FANET. Nevertheless, the conventional methods only utilize the untrusted information that UAV nodes passively “heard” from the “auditory” domain (AD), resulting in severe communication disruptions and even collision accidents. In this paper, we present a novel VA-mapping solution that matches the neighbors observed from AD and “visual” domain (VD), which is the first solution that enables UAVs to accurately correlate what they “see” from and “hear” to detect the Sybil attacks. The overhead in AD is reduced by the proposed topology-aware beacon interval. Relative entropy is utilized to describe the similarity of observed characteristics from dual domains. The dynamic weight algorithm is proposed to distinguish neighbors according to the characteristics’ popularity. The matching model of AD and VD is established and solved by the proposed vampire bat optimizer. Experiment results show that the proposed VA-mapping solution removes the unreliability of individual characteristics and single domains. It reduces the overhead without sacrificing the accuracy of the neighbor list. Furthermore, it outperforms the conventional RSSI-based and mobility-based methods in Sybil detection. IEEE

关键词： Mapping

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