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Secure transmission design for RIS-aided symbiotic radio networks:A DRL approach

Digital Communications and Networks 2024年第6期10卷 1566-1575页

作者： Bin Li Wenshuai Liu Wancheng Xie School of Computer Science Nanjing University of Information Science and TechnologyNanjing 210044China

In this paper,we investigate a Reconfigurable Intelligent Surface(RIS)-assisted secure Symbiosis Radio(SR)network to address the information leakage of the primary transmitter(PTx)to potential ***,the RIS serves as a secondary transmitter in the SR network to ensure the security of the communication between the PTx and the Primary Receiver(PRx),and simultaneously transmits its information to the PTx concurrently by configuring the phase *** the presence of multiple eavesdroppers and uncertain channels in practical scenarios,we jointly optimize the active beamforming of PTx and the phase shifts of RIS to maximize the secrecy energy efficiency of RIS-supported SR networks while satisfying the quality of service requirement and the secure communication *** solve this complicated non-convex stochastic optimization problem,we propose a secure beamforming method based on Proximal Policy Optimization(PPO),which is an efficient deep reinforcement learning algorithm,to find the optimal beamforming strategy against *** results show that the proposed PPO-based method is able to achieve fast convergence and realize the secrecy energy efficiency gain by up to 22%when compared to the considered benchmarks.

关键词： Symbiotic radio Reconfigurable intelligent surface Robust transmission Deep reinforcement learning Proximal policy optimization

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Data Center Traffic Scheduling Strategy for Minimization Congestion and Quality of Service Guaranteeing

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computers, Materials & Continua 2023年第5期75卷 4377-4393页

作者： Chunzhi Wang Weidong Cao Yalin Hu Jinhang Liu School of Computer Science Hubei University of TechnologyWuhan430068China

According to Cisco’s Internet Report 2020 white paper,there will be 29.3 billion connected devices worldwide by 2023,up from 18.4 billion in 2018.5G connections will generate nearly three times more traffic than 4G *** bringing a boom to the network,it also presents unprecedented challenges in terms of flow forwarding *** path assignment mechanism used in traditional traffic schedulingmethods tends to cause local network congestion caused by the concentration of elephant flows,resulting in unbalanced network load and degraded quality of *** the centralized control of software-defined networks,this study proposes a data center traffic scheduling strategy for minimization congestion and quality of service guaranteeing(MCQG).The ideal transmission path is selected for data flows while considering the network congestion rate and quality of *** traffic scheduling strategies are used according to the characteristics of different service types in data *** scheduling for elephant flows that tend to cause local *** path evaluation function is formed by the maximum link utilization on the path,the number of elephant flows and the time delay,and the fast merit-seeking capability of the sparrow search algorithm is used to find the path with the lowest actual link overhead as the rerouting path for the elephant *** is used to reduce the possibility of local network congestion *** cost multi-path(ECMP)protocols with faster response time are used to schedulemouse flows with shorter *** to guarantee the quality of service of the *** achieve isolated transmission of various types of data *** experimental results show that the proposed strategy has higher throughput,better network load balancing,and better robustness compared to ECMP under different traffic *** addition,because it can fully utilize the resources in the network,MCQG also outperforms another traffic s

关键词： Software-defined network data center network OpenFlow network congestion quality of service

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Properties and Characteristics of Regolith-Based Materials for Extraterrestrial Construction

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Engineering 2024年第6期37卷 159-181页

作者： Cheng Zhou Yuyue Gao Yan Zhou Wei She Yusheng Shi Lieyun Ding Changwen Miao National Center of Technology Innovation for Digital Construction Huazhong University of Science and TechnologyWuhan 430074China School of Civil and Hydraulic Engineering Huazhong University of Science and TechnologyWuhan 430074China School of Materials Science and Engineering Southeast UniversityNanjing 214135China State Key Laboratory of Materials Processing and Die&Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074China

The construction of extraterrestrial bases has become a new goal in the active exploration of deep *** the construction techniques,in situ resource-based construction is one of the most promising because of its good sustainability and acceptable economic cost,triggering the development of various types of extraterrestrial construction materials.A comprehensive survey and comparison of materials from the perspective of performance was conducted to provide suggestions for material selection and *** types of typical construction materials are discussed in terms of their reliability and applicability in extreme extraterrestrial ***,thermal and optical,and radiation-shielding properties are *** influencing factors and optimization methods for these properties are *** the perspective of material properties,the existing challenges lie in the comprehensive,long-term,and real characterization of regolith-based construction ***,the suggested future directions include the application of high-throughput characterization methods,accelerated durability tests,and conducting extraterrestrial experiments.

关键词： Extraterrestrial construction Characterization Mechanical property Thermal property Optical property Radiation-shielding

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Cascade degradation and electrocatalytic upcycling of waste poly(ethylene terephthalate)to valued products

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Nano Research 2025年第1期18卷 76-93页

作者： Xin Li Zirui Jiang Zongkui Kou John Wang Shiyou Zheng School of Materials and Chemistry University of Shanghai for Science and TechnologyShanghai 200093China School of Materials Science and Engineering Wuhan University of TechnologyWuhan 430070China Department of Materials Science and Engineering National University of SingaporeSingapore 117574Singapore

The global annual production of poly(ethylene terephthalate)(PET)has reached 82 million tons,yet only a small fraction(less than 20%)is *** ultra-slow degradation rate of PET results in the accumulation of PET waste in the environment,causing serious plastic pollution and posing severe challenges to *** response,great efforts have been directed toward developing a cascade degradation and electrocatalytic upcycling strategy,which serves as a“waste-towealth”*** strategy involves electro-reforming PEThydrolyzed intermediates or using PET pyrolyzed products as electrocatalysts to generate high-value *** review provides an overview of the state-of-the-art strategies for the“degradation-electrocatalytic upcycling(De-eUp)”of PET ***,an introduction to the strategy is provided,categorizing it into two main frameworks:“pyrolysis-electrocatalytic upcycling”and“hydrolysis-electrocatalytic upcycling”.The section on“pyrolysis-electrocatalytic upcycling”delves into the degradation methods for designing derived carbon nanomaterials and their utilization as high-performance ***“hydrolysis-electrocatalytic upcycling”section discusses recent advancements in electro-reforming of PET hydrolyzed intermediates for the production of C_(1) and C_(2) *** review concludes by examining the challenges and future prospects in developing an efficient and economical PET upcycling *** is anticipated that this review will stimulate further progress in plastic waste valorization.

关键词： poly(ethylene terephthalate)waste electrocatalytic upcycling pyrolysis hydrolysis ethylene glycol oxidation reaction

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An Improved Jump Spider Optimization for Network Traffic Identification Feature Selection

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computers, Materials & Continua 2023年第9期76卷 3239-3255页

作者： Hui Xu Yalin Hu Weidong Cao Longjie Han School of Computer Science Hubei University of TechnologyWuhan430068China

The massive influx of traffic on the Internet has made the composition of web traffic increasingly *** port-based or protocol-based network traffic identification methods are no longer suitable for today’s complex and changing ***,machine learning has beenwidely applied to network traffic ***,high-dimensional features and redundant data in network traffic can lead to slow convergence problems and low identification accuracy of network traffic recognition *** advantage of the faster optimizationseeking capability of the jumping spider optimization algorithm(JSOA),this paper proposes a jumping spider optimization algorithmthat incorporates the harris hawk optimization(HHO)and small hole imaging(HHJSOA).We use it in network traffic identification feature ***,the method incorporates the HHO escape energy factor and the hard siege strategy to forma newsearch strategy for *** location update strategy enhances the search range of the optimal solution of *** use small hole imaging to update the inferior ***,the feature selection problem is coded to propose a jumping spiders individual coding *** iterations of the HHJSOA algorithmfind the optimal individual used as the selected feature for KNN ***,we validate the classification accuracy and performance of the HHJSOA algorithm using the UNSW-NB15 dataset and KDD99 *** results show that compared with other algorithms for the UNSW-NB15 dataset,the improvement is at least 0.0705,0.00147,and 1 on the accuracy,fitness value,and the number of *** addition,compared with other feature selectionmethods for the same datasets,the proposed algorithmhas faster convergence,better merit-seeking,and ***,HHJSOAcan improve the classification accuracy and solve the problem that the network traffic recognition algorithm needs to be faster to converge and easily fall into local op

关键词： Network traffic identification feature selection jumping spider optimization algorithm harris hawk optimization small hole imaging

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Asynchronous Control for Discrete-Time Markov Jump Systems with Multi-Node Round-Robin Protocol

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IAENG International Journal of Applied Mathematics 2025年第1期55卷 126-133页

作者： Fang, Qi He, Lanlan Liu, Jie Jiang, Taiping School of Computer Science and Technology Anhui University of Technology Ma'anshan243032 China School of Computer Science and Technology Anhui University of Technology Ma'anshan243032 China School of Computer Science and Technology Anhui University of Technology Ma'anshan243032 China School of Computer Science and Technology Anhui University of Technology Ma'anshan243032 China

This paper considers the asynchronous control for discrete-time Markov jump systems (MJSs) using a multi-node round-robin protocol (MNRRP). Compared to the traditional round-robin protocol, MNRRP increases the number of nodes updated at each transmission time, thereby improving system performance. In addition, a hidden Markov model is constructed to address the asynchronous behavior between the controlled object and the controller. Using Lyapunov functions and several inequalities, a criterion is provided to ensure the stochastic stability of MJS and joint L2 – L1 and H1 performance. A required asynchronous controller design approach is then presented based on the scheduling signal. Finally, a numerical example is given to verify the feasibility and applicability of the theoretical results. © (2025), (International Association of Engineers). All rights reserved.

关键词： Hidden Markov models

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Rendering acceleration method based on JND and sample gradient

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Optoelectronics Letters 2025年第3期21卷 177-182页

作者： ZHANG Ripei CHEN Chunyi School of Computer Science and Technology Qinghai Normal UniversityXining810016China School of Computer Science and Technology Changchun University of Science and TechnologyChangchun130022China

Currently,the main idea of iterative rendering methods is to allocate a fixed number of samples to pixels that have not been fully rendered by calculating the completion *** is obvious that this strategy ignores the c... 详细信息

关键词： iterative rendering pixel values allocate fixed number samples completion rateit iterative rendering methods changes pixel values iterative operations completion rate

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Neural Network Based on Inter-layer Perturbation Strategy for Text Classification

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Machine Intelligence Research 2025年第1期22卷 176-188页

作者： Nai Zhou Nianmin Yao Qibin Li School of Computer Science and Technology Dalian University of TechnologyDalian116024China

Recently,many researches have created adversarial samples to enrich the diversity of training data for improving the text classification performance via reducing the loss incurred in the neural network ***,existing studies have focused solely on adding perturbations to the input,such as text sentences and embedded representations,resulting in adversarial samples that are very similar to the original *** adversarial samples can not significantly improve the diversity of training data,which restricts the potential for improved classification *** alleviate the problem,in this paper,we extend the diversity of generated adversarial samples based on the fact that adding different disturbances between different layers of neural network has different *** propose a novel neural network with perturbation strategy(PTNet),which generates adversarial samples by adding perturbation to the intrinsic representation of each hidden layer of the neural ***,we design two different perturbation ways to perturb each hidden layer:1)directly adding a certain threshold perturbation;2)adding the perturbation in the way of adversarial *** above settings,we can get more perturbed intrinsic representations of hidden layers and use them as new adversarial samples,thus improving the diversity of the augmented training *** validate the effectiveness of our approach on six text classification datasets and demonstrate that it improves the classification ability of the *** particular,the classification accuracy on the sentiment analysis task improved by an average of 1.79%and on question classification task improved by 3.2%compared to the BERT baseline,respectively.

关键词： Perturbation strategy adversarial training machine learning text classification adversarial samples

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Enhanced Differentiable Architecture Search Based on Asymptotic Regularization

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computers, Materials & Continua 2024年第2期78卷 1547-1568页

作者： Cong Jin Jinjie Huang Yuanjian Chen Yuqing Gong School of Computer Science and Technology Harbin University of Science and TechnologyHarbin150006China School of Automation Harbin University of Science and TechnologyHarbin150006China

In differentiable search architecture search methods,a more efficient search space design can significantly improve the performance of the searched architecture,thus requiring people to carefully define the search space with different complexity according to various *** rationalizing the search strategies to explore the well-defined search space will further improve the speed and efficiency of architecture *** this in mind,we propose a faster and more efficient differentiable architecture search method,***,we introduce a more efficient search space enriched by the introduction of two redefined convolution ***,we utilize a more efficient architectural parameter regularization method,mitigating the overfitting problem during the search process and reducing the error brought about by gradient ***,we introduce a natural exponential cosine annealing method to make the learning rate of the neural network training process more suitable for the search ***,group convolution and data augmentation are employed to reduce the computational ***,through extensive experiments on several public datasets,we demonstrate that our method can more swiftly search for better-performing neural network architectures in a more efficient search space,thus validating the effectiveness of our approach.

关键词： Differentiable architecture search allegro search space asymptotic regularization natural exponential cosine annealing

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Laser welding study of vacuum sintered HUST-1 lunar regolith simulant

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science China(Technological sciences) 2024年第9期67卷 2905-2918页

作者： HAN WenBin DING LieYun ZHOU Cheng ZHOU Yan DANG Fen National Center of Technology Innovation for Digital Construction Huazhong University of Science and TechnologyWuhan 430074China School of Civil and Hydraulic Engineering Huazhong University of Science and TechnologyWuhan 730074China

Efforts are underway to establish a permanent lunar base on the Moon. In situ lunar regolith is anticipated to be useful as a building material after sintering. However, sintering lunar regolith into a large-scale structure presents challenges. Therefore, the key to lunar construction lies in assembling multiple small-sized sintered modules into a stable, large-sized structure. This study explored the feasibility of welding the sintered HUST-1 lunar regolith simulant(HLRS) using a laser device and conducted experiments using lasers of varying power. The microstructure, mineral composition, element distribution, and shear strength of the welded joint were investigated. A few low-melting minerals were fused and vaporized during welding, leading to the generation of thermal decomposition gas. Furthermore, the welded joint exhibited numerous micro-cracks, pores, and bubbles,resulting in reduced weld shear strength. Finally, the influence of laser power on weld shear strength was investigated, revealing that the highest shear strength(15.69 N/cm) was achieved at a laser power of 1000 W. This study demonstrates the feasibility of laser welding of sintered HLRS for the first time, with potential applications in lunar base construction.

关键词： lunar regolith vacuum sintering laser welding weld shear strength lunar base

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