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Remote sensing image encryption algorithm based on novel hyperchaos and an elliptic curve cryptosystem

Chinese Physics B 2024年第5期33卷 292-304页

作者：田婧希金松昌张晓强杨绍武史殿习 School of Computer Science National University of Defense TechnologyChangsha 410003China Intelligent Game and Decision Laboratory (IGDL) Beijing 100091China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China

Remote sensing images carry crucial ground information,often involving the spatial distribution and spatiotemporal changes of surface *** safeguard this sensitive data,image encryption technology is *** this paper,a novel Fibonacci sine exponential map is designed,the hyperchaotic performance of which is particularly suitable for image encryption *** encryption algorithm tailored for handling the multi-band attributes of remote sensing images is *** algorithm combines a three-dimensional synchronized scrambled diffusion operation with chaos to efficiently encrypt multiple ***,the keys are processed using an elliptic curve cryptosystem,eliminating the need for an additional channel to transmit the keys,thus enhancing *** results and algorithm analysis demonstrate that the algorithm offers strong security and high efficiency,making it suitable for remote sensing image encryption tasks.

关键词： hyperchaotic system elliptic curve cryptosystem(ECC) 3D synchronous scrambled diffusion remote sensing image unmanned aerial vehicle(UAV)

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Joint Route and Resource Optimization for Multiple Targets Tracking in Decentralized Airborne Networked Radars 2

Joint Route and Resource Optimization for Multiple Targets T...

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2nd IEEE International Conference on Signal, information and Data Processing, ICSIDP 2024

作者： Su, Yang He, Zishu Nanjing University of Information Science and Technology School of Electronic and Information Engineering Nanjing China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China

ISBN: (纸本)9798331515669

In this article, a strategy of joint route and resource control (JRRC) strategy is present for decentralized airborne networked radar (ANR) in multi-target tracking (MTT) application. The Bayesian Fisher information matrix (BFIM) regarding adaptable working parameters of decentralized ANR, which contains the heading angle and power resource of airborne radars, is derived and adopted to measure the tracking accuracy. Considering the quality of service (QoS) scheme, which consumes the minimization of network resource and meets the desired MTT performance requirement at the same time, the JRRC strategy is then constructed to be a mathematical optimization model. In order to address the formulated problem with multiple optimization variables, a two-stage solution method incorporating the particle swarm optimization and the distributed algorithm based on the average consensus dual decomposition is developed. Numerical simulations show the validity of the JRRC strategy. © 2024 IEEE.

关键词： Fisher information matrix

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Superior multiphase interfaces in AgCuTe-based composite with significantly enhanced thermoelectric properties

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Journal of Advanced Ceramics 2023年第8期12卷 1511-1520页

作者： Wenpei Li Zhonghai Yu Chengyan Liu Ying Peng Baoquan Feng Jie Gao Guojing Wu Xiaobo Bai Junliang Chen Xiaoyang Wang Lei Miao Guangxi Key Laboratory of Information Materials Electronical Information Materials and Devices Engineering Research Center of Ministry of EducationSchool of Materials Science and EngineeringGuilin University of Electronic TechnologyGuilin 541004China Guangxi Key Laboratory of Precision Navigation Technology and Application School of Information and CommunicationGuilin University of Electronic TechnologyGuilin 541004China

It is common sense that a phase interface(or grain boundary)could be used to scatter phonons in thermoelectric(TE)materials,resulting in low thermal conductivity(k).However,a large number of impurity phases are always so harmful to the transport of carriers that poor TE performance is ***,we demonstrate that numerous superior multiphase(AgCuTe,Ag_(−2)Te,copper telluride(Cu_(2)Te and Cu_(2−x)Te),and nickel telluride(NiTe))interfaces with simultaneous strong phonon scattering and weak electron scattering could be realized in AgCuTe-based TE *** to the similar chemical bonds in these phases,the depletion region at phase interfaces,which acts as carrier scattering centers,could be ***,the power factor(PF)is obviously enhanced from~609 to~832μW·m^(−1)·K^(−2),and k is simultaneously decreased from~0.52 to~0.43 W·m^(−1)·K^(−1) at 636 ***,a peak figure of merit(zT)of~1.23 at 636 K and an average zT(zTavg)of~1.12 in the temperature range of 523–623 K are achieved,which are one of the best values among the AgCuTe-based TE *** study could provide new guidance to enhance the performance by designing superior multiphase interfaces in the TE materials.

关键词： thermoelectric(TE)materials AgCuTe phase interface carrier scattering phonon scattering

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Optimal Injection Attack for UCPS Under Vertical Depth-Keeping Task Via Game Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 287-289页

作者： Sheng Gao Hao Zhang Zhuping Wang Chao Huang Huaicheng Yan the School of Electronic and Information Engineering the Department of Control Science and EngineeringTongji UniversityShanghai 200092China the School of Information Science and Engineering East China University of Science and TechnologyShanghai 200237China

Dear Editor, This letter concerns about the security problem of underwater cyber-physical system(UCPS) for depth-keeping task in the vertical plane. A dynamic parametric model of the UCPS with ocean currents and hydrostatic is considered. With the intelligence of the controller, the objective function of a zero-sum game between the attacker and the controller is introduced. The attacker destroys the depth-keeping task of UCPS by injecting the designed false data into the system.

关键词： Vertical ocean currents

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GCARDTI:Drug–target interaction prediction based on a hybrid mechanism in drug SELFIES

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Quantitative Biology 2024年第2期12卷 141-154页

作者： Yinfei Feng Yuanyuan Zhang Zengqian Deng Mimi Xiong School of Information and Control Engineering Qingdao University of TechnologyQingdaoChina Qingdao Municipal Hospital QingdaoChina

The prediction of the interaction between a drug and a target is the most critical issue in the fields of drug development and ***,there are still two challenges in current deep learning research:(i)the structural information of drug molecules is not fully explored in most drug target studies,and the previous drug SMILES does not correspond well to effective drug molecules and(ii)exploration of the potential relationship between drugs and targets is in need of *** this work,we use a new and better representation of the effective molecular graph structure,*** propose a hybrid mechanism framework based on convolutional neural network and graph attention network to capture multi-view feature information of drug and target molecular structures,and we aim to enhance the ability to capture interaction sites between a drug and a *** this study,our experiments using two different datasets show that the GCARDTI model outperforms a variety of different model algorithms on different *** also demonstrate the accuracy of our model through two case studies.

关键词： drug–target interaction drug SELFIES hybrid mechanism random forest

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A Block Term Decomposition Model Based Algorithm for Tensor Completion of Multidimensional Harmonic Signals

A Block Term Decomposition Model Based Algorithm for Tensor ...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wang, Lei Gong, Xiao-Feng Liu, Xi-Yuan Feng, Wei Lin, Qiu-Hua School of Information and Communication Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9798350368741

We consider tensor data completion of an incomplete observation of multidimensional harmonic (MH) signals. Unlike existing tensor-based techniques for MH retrieval (MHR), which mostly adopt the canonical polyadic decomposition (CPD) to model the simple "one-to-one" correspondence among harmonics across difference modes, we herein use the more flexible block term decomposition (BTD) model that can be used to describe the complex mutual correspondences among several groups of harmonics across different modes. An optimization principle that aims to fit the BTD model in the least squares sense, subject to rank minimization of hankelized MH components, is set up for the tensor completion task, and an algorithm based on alternating direction method of multipliers is proposed, of which the effectiveness and applicability are validated through both numerical simulations and an application in sub-6GHz channel state information (CSI) completion. © 2025 IEEE.

关键词： block term decomposition hankelization Multidimensional harmonic retrieval tensor completion

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Average Secrecy Capacity of the Reconfigurable Intelligent Surface-Assisted Integrated Satellite Unmanned Aerial Vehicle Relay Networks

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Computer Modeling in engineering & Sciences 2024年第2期138卷 1849-1864页

作者： Ping Li Kefeng Guo Feng Zhou XuelingWang Yuzhen Huang School of Information Technology Yancheng Institute of TechnologyYancheng224051China School of Space Information Space Engineering UniversityBeijing101407China Space E-Star Communication Technology Co. LtdNanjing210007China Academy of Military Sciences of PLA Beijing100097China

Integrated satellite unmanned aerial vehicle relay networks(ISUAVRNs)have become a prominent topic in recent *** paper investigates the average secrecy capacity(ASC)for reconfigurable intelligent surface(RIS)-enabled ***,an eve is considered to intercept the legitimate information from the considered secrecy ***,we get detailed expressions for the ASC of the regarded secrecy system with the aid of the reconfigurable ***,to gain insightful results of the major parameters on the ASC in high signalto-noise ratio regime,the approximate investigations are further gotten,which give an efficient method to value the secrecy *** last,some representative computer results are obtained to prove the theoretical findings.

关键词： Integrated satellite unmanned aerial vehicle relay networks reconfigurable intelligent surface average secrecy capacity(ASC) asymptotic ASC

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A Channel Pruning Method Using Subtraction-Average-Based Optimizer 6

A Channel Pruning Method Using Subtraction-Average-Based Opt...

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6th International Conference on Robotics, Intelligent control and Artificial Intelligence, RICAI 2024

作者： Liu, Zhoufeng Wu, Wentao Ding, Shumin Xi, Jiangtao Li, Chunlei School of Information and Communication Engineering Zhongyuan University of Technology Zhengzhou China School of Electrical Computer and Communication Engineering University of Wollongong Wollongong Australia

ISBN: (纸本)9798331541699

Convolutional Neural Networks(CNNs) require huge resources, which hindered the implement on light devices. However, existing pruning techniques primarily concentrate on choosing channels based on their importance or on regularization strategies that are crafted through empirical knowledge, the compressed networks obtained through these methods have unstable performance and require unnecessary human intervention. This paper proposes a new channel pruning method based on the Subtraction-Average-Based Optimizer, dubbed as SABOPruner. To facilitate deployment on FGPA, we constrain the pruning step size of each layer to be a multiple of 8. Finally, the search was transformed into an optimization problem and we solve it by integrating the SABO algorithm, reducing the need for manual intervention. We introduced Adaptive Batch Normalization to improve the efficiency of fine-tuning, this strategy also accelerates the search efficiency of the SABO algorithm. SABOPruner has been demonstrated to be effective, we conducted efficacy tests on four leading CNN models using two image classification datasets. On the ILSVRC-2012 dataset, the pruned ResNet-50 model reduced 55.15% in FLOPs and make only a 0.9% decrease in accuracy compared to the baseline. With MobileNetV2, we achieve a 51%-FLOPs reduction with a 3.05% performance higher on ImageNet-1K. © 2024 IEEE.

关键词： Convolutional neural networks

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Securing STAR-FC-RIS empowered integrated sensing and multiuser communications against target eavesdropping

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Science China(information Sciences) 2024年第11期67卷 335-346页

作者： Shuying LIN Yulong ZOU Fu XIAO Bin LI School of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications School of Computer Science Nanjing University of Posts and Telecommunications Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications

This paper investigates a simultaneous-transmitting-and-reflecting fully-connected reconfigurable intelligent surface(STAR-FC-RIS) empowered integrated sensing and multiuser communications(ISAMC) network, where a dual-functional radar-communication base station detects a malicious radar target nearby and communicates with multiple legitimate users on the other side of the STAR-RIS. We utilize an integrated architecture that combines the fully-connected(FC)-RIS, an emerging type of beyond-diagonal(BD)-RIS, with the time-switching(TS)-STAR-RIS to enhance both the sensing and communications at the cost of possible target intercepting and propose the simultaneous-transmitting-and-reflecting fully-connected RIS(STAR-FCR) schemes to strike a balance between sensing and communications performance. Thereafter, observing the security-reliability performance tradeoff of the downlink ISAMC, we conduct closed-form analyses to compare COPs of round-robin scheduling(RS) and multiuser scheduling(MS) with the aid of a TS-based STAR-FC-RIS. Furthermore, we derive closed-form expressions of the sensing outage probability, communications outage probability(COP), and communications intercept probability, where an average of the three probabilities is exploited to obtain an optimized time allocation(OTA) of the *** results verify that the STAR-FCR-MS scheme outperforms the STAR-FCR-RS scheme in terms of sensing reliability and communications security. Moreover, an OTA remarkably enhances the overall performance of the STAR-FCR schemes of ISAMC systems.

关键词： simultaneous-transmitting-and-reflecting reconfigurable intelligent surface (RIS) fully-connected beyond-diagonal RIS integrated sensing and communications multiuser scheduling security

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Resource Allocation for Space-Air-Ground Integrated Networks:A Comprehensive Review

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Journal of communications and information Networks 2024年第1期9卷 1-23页

作者： Hui Liang Zhiqing Yang Guobin Zhang Hanxu Hou School of Electrical Engineering and Intelligentization Dongguan University of TechnologyDongguan 523808China Peng Cheng Laboratory Shenzhen 518055China School of Electronics and Information Engineering Shenzhen UniversityShenzhen 518061China School of Electrical Engineering and Intelligentization Dongguan University of TechonologyDongguan 523808China School of Information and Communication Engineering Guangzhou Maritime UniversityGuangzhou 510725China

The space-air-ground integrated networks (SAGIN) has emerged as a critical paradigm to address the growing demands for global connectivity and enhanced communication services. This paper gives a thorough review of the strategies and methodologies for resource allocation within SAGIN, focusing on the challenges and solutions within its complex structure. With the advent of technologies such as 6G, the dynamics of resource optimization have become increasingly complex, necessitating innovative approaches for efficient management. We examine the application of mathematical optimization, game theory, artificial intelligence (AI), and dynamic optimization techniques in SAGIN,offering insights into their effectiveness in ensuring optimal resource distribution, minimizing delays, and maximizing network throughput and stability. The survey highlights the significant advances in AI-based methods,particularly deep learning and reinforcement learning, in tackling the inherent challenges of SAGIN resource allocation. Through a critical review of existing literature, this paper categorizes various resource allocation strategies, identifies current research gaps, and discusses potential future directions. Our findings highlight the crucial role of integrated and intelligent resource allocation mechanisms in realizing the full potential of SAGIN for next-generation communication networks.

关键词： space-air-ground integrated networks resource allocation 6G optimization theory game theory artificial intelligence

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