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Multi-Channel Anti-Jamming Transmission Method Based on distributed Deep Reinforcement Learning 16

Multi-Channel Anti-Jamming Transmission Method Based on Dist...

引用

16th International Conference on Communication Software and Networks, ICCSN 2024

作者： Zhang, Biao Zhang, Lan Liang, Tianyi Zhu, Huijie National Key Laboratory of Electromagnetic Space Security Jiaxing314000 China The 36th Research Institution of China Electronics Technology Group Corporation Jiaxing314000 China

ISBN: (纸本)9798331506322

In response to the challenge posed by the inherent transmission limitations of single-channel anti-jamming data transmission methods, which struggle to meet the demands of high-intensity data transmission, this study explores the problem of multi-channel anti-jamming data transmission in a multi-user communication network operating under malicious jamming, with dynamic transmission needs. Communication users dynamically switch between parallel and diversity transmission based on their transmission requirements. A multi-channel anti-jamming transmission method based on distributed deep reinforcement learning is proposed. simulation results demonstrate that the proposed algorithm achieves higher normalized throughput and lower average transmission latency. © 2024 IEEE.

关键词： Deep reinforcement learning

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Network-On-Chip Performance Evaluation by Synchronous Circuit simulation 16

Network-On-Chip Performance Evaluation by Synchronous Circui...

引用

16th International workshop on Network on Chip Architectures (NoCArc)

作者： Werner, Leon Roob, Julius Schneider, Klaus RPTU Kaiserslautern Landau Dept Comp Sci Kaiserslautern Germany

ISBN: (纸本)9798400703072

the increasing number of cores per processor requires powerful on-chip networks to take full advantage of the processor performance. However, the wide variety of available networks with possibly varying communication latencies, makes a realistic performance evaluation very difficult. Of course, there are already many publications and tools available for network evaluation, but most of them are limited to a few specific architectures. this paper presents a framework for the performance evaluation of networks-on-chip architectures implemented in SystemVerilog. the framework uses Verilator to provide cycle- and gate-accurate simulation of network behavior under load. Different traffic generation patterns allow a variety of network performance statistics to be determined. the number of cycles each message spends between creation and reception is recorded during the simulation and then combined with timing estimates from XILINX Vivado to calculate an expected network bandwidth. Other performance data, such as the maximum I/O capacity of a single network node, can also be obtained from the message patterns provided by the traffic generator. To demonstrate the use of our framework, we compare and evaluate the open source 2D mesh network RaveNoc with a blocking Omega-network and a nonblocking fat tree network.

关键词： network on chip network performance analysis reconfigurable logic and FPGAs parallel architectures Verilator

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NeSy 2022 - Proceedings of the 16th International workshop on Neural-Symbolic Learning and Reasoning, as part of the 2nd International Joint Conference on Learning and Reasoning, IJCLR 2022

NeSy 2022 - Proceedings of the 16th International Workshop o...

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16th International workshop on Neural-Symbolic Learning and Reasoning, NeSy 2022

the proceedings contain 15 papers. the topics discussed include: knowledge representation and reasoning using deep neural networks;symbolic knowledge extraction from neural and statistical learning systems;explainable ai methods, systems and techniques integrating connectionist and symbolic AI;neural-symbolic cognitive agents;biologically-inspired neuro-symbolic integration;integration of logics and probabilities in neural networks;neural-symbolic methods for structure learning, transfer learning, meta, multi-task and continual learning, relational learning;novel connectionist systems able to perform traditionally symbolic AI tasks (e.g. abduction, deduction, out-of-distribution learning);novel symbolic systems able to perform traditionally connectionist tasks (e.g. learning from unstructured data, distributed learning);and applications of neural-symbolic and hybrid systems, including in simulation, finance, healthcare, robotics, semantic web, software engineering, systems engineering, bioinformatics and visual intelligence.

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distributed Identification of Discrete-Event Systems with the Aim of Fault Detection 16th

Distributed Identification of Discrete-Event Systems with th...

引用

16th IFAC workshop on Discrete Event Systems (WODES)

作者： de Castro, Jose G., V Viana, Gustavo S. Moreira, Marcos, V Univ Fed Rio de Janeiro Programa Engn Elect COPPE BR-21949900 Rio De Janeiro RJ Brazil

Recently, different Discrete-Event Systems (DES) identification techniques with the aim of fault detection have been proposed in the literature. In general, a monolithic model is identified using the observed input and output binary signals exchanged between the plant and the controller. However, if the system is composed of several subsystems with concurrent behavior, the number of states and transitions of the monolithic model may not converge even observing a large number of signal vectors. In these cases, it is necessary to use a distributed identification technique, where models for the fault-free behavior of the subsystems are obtained, and then these models are run in parallel for fault detection. In this work, we present a method for identifying concurrent subsystems based only on the observation of the input and output controller signals. A virtual plant, simulated using a 3D simulation software and controlled by a programmable logic controller, is used to illustrate the proposed method and to compare the efficiencies of the fault detection methods using the subsystem models and the monolithic model. Copyright (C) 2022 the Authors.

关键词： Subsystem identification Fault detection Discrete-event systems Finite state automata Black-box identification

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Traceable Ring Signature Scheme in Internet of Vehicles Based on Lattice Cryptography 21

Traceable Ring Signature Scheme in Internet of Vehicles Base...

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21st IEEE International Symposium on parallel and distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Liao, Wei Han, Lansheng Chen, Peng Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan China

ISBN: (纸本)9798350329223

Lattice cryptography, as a recognized Cryptosystem that can resist quantum computation, has great potential for development. Lattice based signature scheme is currently a research focus. In this paper, the traceable ring signature scheme based on lattice cryptography in the Internet of Vehicles (IoV) environment is studied. Firstly, users' public and private keys are generated on the lattice, which effectively reduces the key size and time cost. Secondly, the scheme also achieves traceability by adding additional information. the scheme satisfies strong unforgeability, traceability, and anonymity. In addition, the traceable ring signature scheme based on lattice cryptography is applied in the IoV environment to effectively protect user privacy. Model communication can not only protect user privacy, but also trace the signer when necessary, achieving a balance between security and privacy. the simulation results show that the average delay of IoV of our scheme is better than that of similar schemes. the research in this paper improves the security of data transmission in the IoV environment, enables it to adapt to the complex and changeable new network environment, and effectively guarantees the information security of vehicles and owners. © 2023 IEEE.

关键词： Cryptography

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Multi-Channel Anti-Jamming Transmission Method Based on distributed Deep Reinforcement Learning

Multi-Channel Anti-Jamming Transmission Method Based on Dist...

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International Conference on Communication Software and Networks, ICCSN

作者： Biao Zhang Lan Zhang Tianyi Liang Huijie Zhu National Key Laboratory of Electromagnetic Space Security Jiaxing China The 36th Research Institution of China Electronics Technology Group Corporation Jiaxing China

ISBN: (数字)9798331506322

ISBN: (纸本)9798331506339

关键词： Heuristic algorithms simulation Software algorithms Switches Deep reinforcement learning throughput Data transfer Software Communication networks Reliability

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Hierarchical Neural Network Ensemble Modeling Based on parallel and Serial Structure

Hierarchical Neural Network Ensemble Modeling Based on Paral...

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International workshop on Advanced Computational Intelligence (IWACI)

作者： Jie Li Degang Wang School of Control Science and Engineering Dalian University of Technology Dalian China

ISBN: (数字)9798350308501

ISBN: (纸本)9798350308518

Hierarchical models have superiority in solving the data dimension explosion problem. An appropriate hierarchical structure is an important factor affecting the robustness of model. A hierarchical structure is constructed, which combines the parallel learning and serial connection manner. Meanwhile, a hierarchical neural network based on parallel and serial structure (PSHNN) is proposed. Firstly, the hierarchical clustering method is used to determine feasible divisions of the data. In this way, the data can be represented as a set of several subsets. these subsets are input into the serial hierarchical structure with layer by layer manner. Each serial hierarchical structure is constructed by several sublayers. these sublayers are connected via serial manner. Secondly, several parallel layers are established to perform the parallel learning, and each parallel layer contains a serial hierarchical structure. Each parallel layer can be considered as a parallel learning channel. Finally, the Bayesian information criterion (BIC) is used to integrate the learning results of each parallel channel, and determine final output of model. Performance of PSHNN was verified on several benchmark datasets, and an actual collected fatty liver medical dataset. simulation results prove the superiority of the designed PSHNN.

关键词： Computational modeling Clustering methods simulation Liver Robustness Explosions Data models

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the Control Strategy Research of distributed DC Micro-grid for Spacecraft 16th

The Control Strategy Research of Distributed DC Micro-grid f...

引用

16th Annual Conference of China Electrotechnical Society, ACCES 2021

作者： Chen, Baiji Hu, Wenbin Yao, Xiaowen Yao, Gang Zhou, Lidan Department of Electrical Engineering Shanghai Jiao Tong University Minhang District Shanghai200240 China Shanghai Institute of Space Power-Sources Minhang District Shanghai200240 China

ISBN: (纸本)9789811915314

Taking the distributed DC micro-grid and its DC/DC converter as the research object, the topology is studied. then the control technology of the converter is studied, including the current sharing technology of multi converters in parallel, and a load current feedforward compensation algorithm with fast load dynamic response. Using the circuit average model, the calculation method of feedforward coefficient is given. Firstly, the modal analysis of the bi-directional H-bridge DC/DC converter is carried out, and the structure diagrams of double closed-loop PI control system in single converter and multi converters are given. Finally, the feedforward compensation control strategy based on load current is introduced to stabilize output power when load changes. simulation and prototype test show that the compensation strategy can significantly improve the dynamic response performance of DC/DC converter against load disturbance. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Dynamic response

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Design and Analysis of a Novel Ring Truss Deployable Antenna Mechanism 16th

Design and Analysis of a Novel Ring Truss Deployable Antenna...

引用

16th International Conference on Intelligent Robotics and Applications, ICIRA 2023

作者： Han, Bo Yuan, Zhantu Zhou, Yuanzhi Liu, Feng Yao, Jiantao Zhao, Yongsheng Hebei Provincial Key Laboratory of Parallel Robot and Mechatronic System Yanshan University Qinhuangdao066004 China Key Laboratory of Advanced Forging and Stamping Technology and Science Yanshan University Ministry of Education of China Qinhuangdao066004 China

ISBN: (纸本)9789819965038

With the development of astronautics, satellite antenna as an important communication equipment has also gradually developed to large scale. In this paper, a novel ring truss deployable antenna mechanism is proposed. the mechanism has three layers of installation points with height differences between them, which can be used to ensure that all the installation points will be distributed on the profile of the cable network, and this characteristic ensures the mechanism can be utilized to the maximum. then the degrees of freedom (DOF) and kinematics of the ring truss deployable mechanism are analyzed using screw theory, where the analysis shows that the DOF of the overall ring truss deployable mechanism is equal to one. Following that, the dynamics model about the mechanism unit is established using the second type of Lagrange equations. Based on this dynamic model, the effect of torsion spring stiffness on the deployment process is discussed and the conclusion is verified by simulation. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Trusses

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distributed and Competitive Coordination of Multi-Robot Based on GD-kWTA Network under Noise-Free Condition

Distributed and Competitive Coordination of Multi-Robot Base...

引用

International workshop on Advanced Computational Intelligence (IWACI)

作者： Yuzhe Wang Yuheng Qian Wentao Yue Jie Zeng Chaoyuan Hao School of Information Science and Engineering Lanzhou University Lanzhou China

ISBN: (数字)9798350308501

ISBN: (纸本)9798350308518

On the basis of the gradient-based differential k-winners-take-all (GD-kWTA) network, this paper focuses on its applications on multi-robot competition and coordination under noise-free condition. the GD-kWTA network offers improved handling of temporal lag in control variables under noise-free condition. At the same time, theorems and relevant validations are presented to ensure the exponential convergence and antinoise elasticity of the proposed GD-kWTA network. Finally, the GD-kWTA network is integrated with a consensus filter as a robust control strategy for the simulation of the coordinated competitive behavior of various robots. Even under noise-free condition and when handling complex target trajectory curves, the GD-kWTA network successfully achieves satisfactory results, which underscores its effectiveness in tackling the issue of temporal lag.

关键词： Robust control Target tracking Robot kinematics Stability criteria Elasticity Trajectory Resource management

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