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24th IEEE International Conference on Communication technology, ICCT 2024

作者： Li, Dong Yan, Zhigang Hao, Yuyu Niyato, Dusit Quek, Tony Q. S. Macau University of Science and Technology School of Computer Science and Engineering Macau China Nanyang Technological University School of Computer Science and Engineering Singapore Singapore University of Technology and Design Information Systems Technology and Design Pillar Singapore

ISBN: (纸本)9798350363760

In Federated Learning (FL) for the low Earth orbit (LEO) satellite networks with parameters aggregated by a ground station, the communication overhead is a substantial concern. To circumvent this limitation and alleviate the latency within the FL for the satellite-ground communication, Decentralized Federated Learning (DFL) has appeared as an effective solution. However, considering the heterogeneity of satellites, the problem on how to efficiently leverage the limited resources available to enhance the model performance of DFL has drawn little attention, which motivates this work. Specifically, the proposed solution involves optimizing the number of local training rounds across diverse satellites with varying resource budgets to enhance the DFL performance by utilizing the resource more efficiently. Simulation results show that, the proposed scheme achieves a much better performance than the conventional schemes with fixed rounds of local training. © 2024 IEEE.

关键词： Federated learning

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Robust twin-field quantum key distribution through sending or not sending

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National science Review 2023年第4期10卷 76-85页

作者： Cong Jiang Zong-Wen Yu Xiao-Long Hu Xiang-Bin Wang Jinan Institute of Quantum Technology State Key Laboratory of Low Dimensional Quantum Physics Department of Physics Tsinghua University Data Communication Science and Technology Research Institute School of Physics State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen University Shanghai Branch CAS Center for Excellence and Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shenzhen Institute for Quantum Science and Engineering and Physics Department Southern University of Science and Technology Frontier Science Center for Quantum Information

The sending-or-not-sending(SNS) protocol is one of the most major variants of the twin-field(TF)quantum key distribution(QKD) protocol and has been realized in a 511-km field fiber, the farthest field experiment to date. In practice, however, all decoy-state methods have unavoidable source errors, and the source errors may be non-random, which compromises the security condition of the existing TF-QKD protocols. In this study, we present a general approach for efficiently calculating the SNS protocol's secure key rate with source errors, by establishing the equivalent protocols through virtual atenuation and the tagged model. This makes the first result for TF QKD in practice where source intensity cannot be controlled exactly. Our method can be combined with the two-way classical communication method such as active odd-parity pairing to further improve the key rate. The numerical results show that if the intensity error is within a few percent, the key rate and secure distance only decrease marginally. The key rate of the recent SNS experiment in the 511-km field fiber is still positive using our method presented here, even if there is a ±9.5% intensity fluctuation. This shows that the SNS protocol is robust against source errors.

关键词： quantum information quantum key distribution sending or not sending twin field source error

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A Q-Learning Based Hybrid Meta-Heuristic for Integrated Scheduling of Disassembly and Reprocessing Processes Considering Product Structures and Stochasticity

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Complex System Modeling and Simulation 2024年第2期4卷 184-209页

作者： Fuquan Wang Yaping Fu Kaizhou Gao Yaoxin Wu Song Gao the School of Business Qingdao UniversityQingdao 266071China the Macao Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China the Department of Industrial Engineering&Innovation Sciences Eindhoven University of TechnologyEindhoven5600 MBthe Netherlands the College of Information Science and Engineering Northeastern UniversityShenyang 110819China

Remanufacturing is regarded as a sustainable manufacturing paradigm of energy conservation and environment *** improve the efficiency of the remanufacturing process,this work investigates an integrated scheduling problem for disassembly and reprocessing in a remanufacturing process,where product structures and uncertainty are taken into ***,a stochastic programming model is developed to minimize the maximum completion time(makespan).Second,a Q-learning based hybrid meta-heuristic(Q-HMH)is specially *** each iteration,a Q-learning method is employed to adaptively choose a premium algorithm from four candidate ones,including genetic algorithm(GA),artificial bee colony(ABC),shuffled frog-leaping algorithm(SFLA),and simulated annealing(SA)*** last,simulation experiments are carried out by using sixteen instances with different scales,and three state-of-the-art algorithms in literature and an exact solver CPLEX are chosen for *** analyzing the results with the average relative percentage deviation(RPD)metric,we find that Q-HMH outperforms its rivals by 9.79%-26.76%.The results and comparisons verify the excellent competitiveness of Q-HMH for solving the concerned problems.

关键词： remanufacturing scheduling disassembly reprocessing meta-heuristic Q-learning

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Developing modified k–εturbulence models for neutral atmospheric boundary layer flow simulation using OpenFOAM

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Building Simulation 2024年第12期17卷 2281-2295页

作者： Yuanbo Wang Jiqin Li Wei Liu Jiankai Dong Jing Liu School of Architecture Harbin Institute of TechnologyKey Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and TechnologyMinistry of Industry and Information TechnologyHarbin 150090China Tianjin Key Laboratory of Indoor Air Environmental Quality Control School of Environmental Science and EngineeringTianjin University92 Weijin RoadTianjin 300072China Division of Sustainable Buildings Department of Civil and Architectural EngineeringKTH Royal Institute of TechnologyBrinellvägen 2310044 StockholmSweden

Accurate turbulence modeling is essential for simulation studies of urban *** this study,the comprehensive atmospheric boundary layer(ABL)model involving a variable model coefficient and an additional turbulent dissipation source term was implemented using the open-source software *** with consistent inlet wind profiles and rough wall functions of different turbulence variables based on the aerodynamic roughness,the model maintained the horizontal homogeneity ***,a hybrid approach was introduced to consider buildings immersed in ABL flows,enabling automatic transformation of the turbulence model between the region around the buildings and the free flow region away from any ***,the effects of applying different model forms to the airflow field around buildings were evaluated in detail through three-dimensional building cases representing six urban prototypes based on three wind tunnel *** findings indicated that all modified k–εmodels perform well in reproducing the flow data of the CEDVAL and Architectural Institute of Japan(AIJ)experiments consisting of a single building,an array of buildings,and an isolated high-rise ***,the modified k–εmodel with an additional correction term performed poorly in the database of Niigata Institute of technology and the case of complex terrain and urban building configurations,because the correction term inhibited the generation of turbulent kinetic *** addition,from the comparison between the experimental data of all cases,the model with the original formulation of the coefficient performed the best in terms of prediction *** root mean square errors of the normalized velocity were 0.1250,0.0879,0.1145,0.1350,and 0.1492 in different cases,which proved the reliability of this turbulence model.

关键词： urban airflow computational fluid dynamics(CFD) atmospheric boundary layer OpenFOAM turbulence model

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Unified Barrier Function Based Approach for Practical Fixed-Time Control of State-Constrained Nonlinear System

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Journal of systems science & Complexity 2025年第2期38卷 782-804页

作者： GENG Fan DONG Yi HONG Yiguang College of Electronic and Information Engineering National Key Laboratory of Autonomous Intelligent Unmanned Systems Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Tongji University

This paper considers the practical fixed-time tracking control problem for a state constrained pure-feedback nonlinear system. A new barrier function is first proposed to handle various asymmetric time-varying constraints and unify the cases with and without state constraints. Then a low-cost neural network based adaptive fixed-time controller is constructed by further combining the dynamic surface control, which overcomes the technical problems of overparametrization and singularity in the backstepping procedure. The proposed design guarantees that the tracking error converges to a small neighbourhood of zero in a fixed time while satisfying the state constraints as a priority task without imposing feasibility conditions on the virtual controllers. Simulation results validate the effectiveness of the proposed adaptive fixed-time tracking control strategy.

关键词： Barrier function fixed-time control nonlinear system state constraint

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S2Gait: RGB-based Gait Recognition with Style Feature Sampling Data Augmentation

S2Gait: RGB-based Gait Recognition with Style Feature Sampli...

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2025 IEEE/SICE International Symposium on System Integration, SII 2025

作者： Yoshino, Koki Nakashima, Kazuto Ahn, Jeongho Iwashita, Yumi Kurazume, Ryo Kyushu University Graduate School of Information Science and Electrical Engineering Japan Kyushu University Faculty of Information Science and Electrical Engineering Japan California Institute of Technology Jet Propulsion Laboratory United States

ISBN: (纸本)9798331531614

Gait is unique to individuals and can be acquired from a distance, making it difficult to disguise. Gait videos also contain many elements unrelated to gait, which make gait recognition challenging. Departing from common approaches that use preprocessing such as silhouette extraction, the RGB-based method extracts gait features directly from RGB gait videos. RGB-based methods leverage the difference between two inputs with different attributes to separate gait-related/unrelated features, but their separation performance depends on the diversity of the dataset. To increase the amount and diversity of training data, we focus on the latent space of gait-independent features (style features), which are usually not needed for gait recognition. In this paper, we propose S2Gait (Style feature Sampling Gait), which augments the training data online with images generated from gait-dependent features of the input images and sampled style features. Experiments demonstrate that the proposed method surpasses existing RGB-based methods on almost all metrics for both generated image quality and identification accuracy. We also explore the relationship between the amount of data augmentation and performance taking advantage of our method's flexibility to generate a wide variety of gait images. © 2025 IEEE.

关键词： RGB color model

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Consensus of High-Order Multi-Agent systems with Binary-Valued Communications and Switching Topologies

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IEEE Transactions on Control of Network systems 2024年第2期12卷 1369-1380页

作者： An, Ru Wang, Ying Zhao, Yanlong Zhang, Ji-Feng Chinese Academy of Sciences Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing100190 China KTH Royal Institute of Technology Division of Decision and Control Systems Stockholm Sweden Zhongyuan University of Technology School of Automation and Electrical Engineering Henan Province Zhengzhou450007 China

This paper studies the consensus problem of high-order multi-agent systems (MASs) with binary-valued communications and switching topologies. To tackle the challenge of unknown states caused by binary-valued communications, this paper constructs an estimation-based consensus algorithm. First, a recursive projection identification algorithm is presented to estimate the neighbors' states dynamically. Then, based on these estimates, a consensus law is designed. By constructing and analyzing two combined Lyapunov functions about estimation error and state error, this paper establishes their relation, to overcome the difficulty resulting from the coupling of the estimation and control and less information due to switching topologies. Under the condition of jointly connected topologies, it is proven that by properly selecting the step coefficient, the estimates of states can converge to the true states with a convergence rate as the reciprocal of the recursion times. Besides, the MAS is proved to achieve weak consensus and the consensus rate is also established as the reciprocal of the recursion times. Finally, a simulation example is given to validate the algorithm. © 2024 IEEE.

关键词： Consensus algorithm

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Resource Allocation for Underwater Acoustic Sensor Networks With Partial Spectrum Sharing: When Optimization Meets Deep Reinforcement Learning

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IEEE Transactions on Network and Service Management 2025年第3期22卷 2715-2730页

作者： Tang, Rui Zhang, Ruizhi Xu, Yongjun Liu, Chuan Huang, Chongwen Yuen, Chau China West Normal University School of Electronic Information Engineering Key Laboratory of Optimization Theory and Applications Internet of Things Perception and Big Data Analysis Key Laboratory of Nanchong City Sichuan Nanchong637002 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400064 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Nanyang Technological University School of Electrical and Electronics Engineering Jurong West 639798 Singapore

To utilize the limited acoustic spectrum while combating the harsh underwater propagation, we incorporate partial spectrum sharing into an underwater acoustic sensor network and aim to maximize the minimum data collection rate among all underwater sensor nodes through joint power allocation and spectrum assignment. To cope with the non-convex optimization problem, we propose a Hybrid Model-based and Data-based Resource Allocation (HMDRA) scheme: 1) Under any given spectrum assignment strategy, we analyze the impact of the partial spectrum sharing and imperfect successive interference cancellation on baseband signal processing, and formulate a power allocation problem that is solved by the bisection method and Lagrange dual theory. 2) Based on the optimal power allocation strategy, the gradient-free genetic algorithm (GA) is first adopted to approach the optimal solution of the model-less spectrum assignment problem by nearly enumerating the solution space. To reduce complexity, we further propose a deep reinforcement learning (DRL)-based algorithm and obtain an efficient solution by traversing a deep neural network-based policy learned from the training stage. Simulation results show that compared with the GA-based algorithm, the average execution time of the DRL-based algorithm is substantially reduced by 5 orders of magnitude to 0.7076 seconds at the cost of approximately 6 percent performance loss. © 2004-2012 IEEE.

关键词： Deep reinforcement learning

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An in-situ biochar-enhanced anaerobic membrane bioreactor for swine wastewater treatment under various organic loading rates

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Journal of Environmental sciences 2024年第12期146卷 304-317页

作者： Nianwen Chen Xinbo Zhang Qing Du Huizhong Wang Zhiwen Wang Junzhi Ren Hongxia Li Wenshan Guo Huu Hao Ngo Joint Research Centre for Protective Infrastructure Technology and Environmental Green Bioprocess School of Environmental and Municipal EngineeringTianjin Chengjian UniversityTianjin 300384China Tianjin Key Laboratory of Aquatic Science and Technology Tianjin Chengjian UniversityTianjin 300384China Frontier Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) SynBio Research PlatformCollaborative Innovation Center of Chemical Science and Engineering(Tianjin)Department of Biochemical EngineeringSchool of Chemical Engineering and TechnologyTianjin UniversityTianjin 300072China Tianjin Caring Technology Development Co. Ltd.Tianjin 300381China Centre for Technology in Water and Wastewater School of Civil and Environmental EngineeringUniversity of Technology SydneySydneyNSW 2007Australia

A biochar-assisted anaerobic membrane bioreactor(BC-AnMBR)was conducted to evaluate the performance in treating swine wastewater with different organic loading rates(OLR)ranging from 0.38 to 1.13 kg-COD/(m3.d).Results indicated that adding spent coffee grounds biochar(SCG-BC)improved the organic removal efficiency compared to the conventional AnMBR,with an overall COD removal rate of>95.01%.Meanwhile,methane production of up to 0.22 LCH4/gCOD with an improvement of 45.45%was achieved under a high OLR of 1.13 kg-COD/(m3.d).Furthermore,the transmembrane pressure(TMP)in the BC-AnMBR system was stable at 4.5 kPa,and no irreversible membrane fouling occurred within 125 *** community analysis revealed that the addition of SCG-BC increased the relative abundance of autotrophic methanogenic archaea,particularly Methanosarcina(from 0.11%to 11.16%)and Methanothrix(from 16.34%to 24.05%).More importantly,Desulfobacterota and Firmicutes phylum with direct interspecific electron transfer(DIET)capabilities were also enriched with autotrophic *** of the electron transfer pathway showed that the concentration of c-type cytochromes increased by 38.60%in the presence of SCGBC,and thus facilitated the establishment of DIET and maintained high activity of the elec-tron transfer system even at high *** short,the BC-AnMBR system performs well under various OLR conditions and is stable in the recovery energy system for swine wastewater.

关键词： Biochar Microbial community Anaerobic membrane bioreactor Organic loading rates Methane production

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Privacy-Preserving Pseudonym Schemes for Personalized 3D Avatars in Mobile Social Metaverses 6

Privacy-Preserving Pseudonym Schemes for Personalized 3D Ava...

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6th International Conference on Electronics and Communication, Network and Computer technology, ECNCT 2024

作者： Su, Cheng Luo, Xiaofeng Liu, Zhenmou Kang, Jiawen Hao, Min Xiong, Zehui Yang, Zhaohui Huang, Chongwen School of Automation Guangdong University of Technology Guangzhou China School of Systems Science and Engineering Sun Yat-sen University Guangzhou510275 China Singapore University of Technology and Design Information Systems Technology and Design Pillar Singapore College of Information Science and Electronic Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9798350366143

The emergence of mobile social metaverses, a novel paradigm bridging physical and virtual realms, has led to the widespread adoption of avatars as digital representations for Social Metaverse Users (SMUs) within virtual spaces. Equipped with immersive devices, SMUs leverage Edge Servers (ESs) to deploy their avatars and engage with other SMUs in virtual spaces. To enhance immersion, SMUs incline to opt for 3D avatars for social interactions. However, existing 3D avatars are typically generated through scanning the real faces of SMUs, which can raise concerns regarding information privacy and security, such as profile identity leakages. To tackle this, we introduce a new framework for personalized 3D avatar construction, leveraging a two-layer network model that provides SMUs with the option to customize their personal avatars for privacy preservation. Specifically, our approach introduces avatar pseudonyms to jointly safeguard the profile and digital identity privacy of the generated avatars. Then, we design a novel metric named Privacy of Personalized Avatars (PoPA), to evaluate effectiveness of the avatar pseudonyms. To optimize pseudonym resource, we model the pseudonym distribution process as a Stackelberg game and employ Deep Reinforcement Learning (DRL) to learn equilibrium strategies under incomplete information. Simulation results validate the efficacy and feasibility of our proposed schemes for mobile social metaverses. © 2024 IEEE.

关键词： Differential privacy

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