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An LSTM-based hybrid proximal policy optimization spectrum access algorithm in vehicular network

International Journal of Intelligent Computing and Cybernetics 2024年第3期17卷 486-502页

作者： Lin Kang Junjie Chen Jie Wang Yaqi Wei School of Electronic and Information Engineering Taiyuan University of Science and TechnologyTaiyuanChina

Purpose:In order to meet the different quality of service(QoS)requirements of vehicle-to-infrastructure(V2I)and multiple vehicle-to-vehicle(V2V)links in vehicle networks,an efficient V2V spectrum access mechanism is proposed in this ***/methodology/approach:A long-short-term-memory-based multi-agent hybrid proximal policy optimization(LSTM-H-PPO)algorithm is proposed,through which the distributed spectrum access and continuous power control of V2V link are ***:Simulation results show that compared with the baseline algorithm,the proposed algorithm has significant advantages in terms of total system capacity,payload delivery success rate of V2V link and convergence ***/value:The LSTM layer uses the time sequence information to estimate the accurate system state,which ensures the choice of V2V spectrum access based on local observation *** hybrid PPO framework shares training parameters among agents which speeds up the entire training *** proposed algorithm adopts the mode of centralized training and distributed execution,so that the agent can achieve the optimal spectrum access based on local observation information with less signaling overhead.

关键词： V2X Spectrum access Deep reinforcement learning PPO

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Microgrid trading mechanism enhancement for smart contract considering reputation values

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Cyber-Physical Systems 2024年第2期10卷 214-230页

作者： Wang, Zhikang Wu, Wendi Wu, Zhengtian Fu, Baochuan School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou China

In order to reduce the system instability caused by credit risk in microgrid transactions in the blockchain, we propose a smart contract microgrid transaction model considering reputation value. Considering the instability caused by credit risk, the reputation factor is introduced to ensure the secure and stable operation of the microgrid energy trading system. The effectiveness of the scheme is verified by comparing traditional electricity trading and the trading with the introduced credit value scheme through simulation experiments. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Smart contract

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Modifying Lyapunov exponent of chaotic map by self-cascading

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science China(Technological sciences) 2024年第7期67卷 2203-2214页

作者： YI ChenLong LI ChunBiao LI YongXin XIA Ming HUA ZhongYun School of Electronic and Information Engineering Nanjing University of Information Science&TechnologyNanjing 210044China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing 210044China School of Computer Science and Technology Harbin Institute of Technology Shenzhen Graduate SchoolShenzhen 518055China

The self-cascade(SC) method is an effective technique for chaos enhancement and complexity increasing in chaos ***, the controllable self-cascade(CSC) method allows for more accurate control of Lyapunov exponents of the discrete map. In this work, the SC and CSC systems of the original map are derived, which enhance the chaotic performance while preserving the fundamental dynamical characteristics of the original map. Higher Lyapunov exponent of chaotic sequences corresponding to higher frequency are obtained in SC and CSC systems. Meanwhile, the Lyapunov exponent could be linearly controlled with greater flexibility in the CSC system. The verification of the numerical simulation and theoretical analysis is carried out based on the platform of CH32.

关键词： self-cascade controllable self-cascade chaos enhancement chaos control

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Phase-matching enhanced quantum phase and amplitude estimation of a two-level system in a squeezed reservoir

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Chinese Physics B 2025年第1期34卷 257-263页

作者： Yan-Ling Li Cai-Hong Liao Xing Xiao School of Information Engineering Jiangxi University of Science and TechnologyGanzhou 341000China College of Physics and Electronic Information Gannan Normal UniversityGanzhou 341000China

Squeezed reservoir engineering is a powerful technique in quantum information that combines the features of squeezing and reservoir engineering to create and stabilize non-classical quantum states. In this paper, we focus on the previously neglected aspect of the impact of the squeezing phase on the precision of quantum phase and amplitude estimation based on a simple model of a two-level system(TLS) interacting with a squeezed reservoir. We derive the optimal squeezed phase-matching conditions for phase φ and amplitude θ parameters, which are crucial for enhancing the precision of quantum parameter estimation. The robustness of the squeezing-enhanced quantum Fisher information against departures from these conditions is examined, demonstrating that minor deviations from phase-matching can still result in remarkable precision of estimation. Additionally, we provide a geometric interpretation of the squeezed phase-matching conditions from the classical motion of a TLS on the Bloch sphere. Our research contributes to a deeper understanding of the operational requirements for employing squeezed reservoir engineering to advance quantum parameter estimation.

关键词： quantum parameter estimation squeezed reservoir phase-matching conditions quantum Fisher information

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An Effective Power Optimization Approach Based on Whale Optimization Algorithm with Two-Populations and Mutation Strategies

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Chinese Journal of electronics 2024年第2期33卷 423-435页

作者： Juncai HE Zhenxue HE Jia LIU Yan ZHANG Fan ZHANG Fangfang LIANG Tao WANG Limin XIAO Xiang WANG Hebei Agricultural University Beijing Information Science and Technology University School of Computer Science and Engineering Beihang University School of Electronic and Information Engineering Beihang University

Power is an issue that must be considered in the design of logic circuits. Power optimization is a combinatorial optimization problem, since it is necessary to search for a logical expression that consumes the least amount of power from a large number of Reed-Muller(RM) logical expressions. The existing approach for optimizing the power of multi-output mixed polarity RM(MPRM) logic circuits suffer from poor optimization results. To solve this problem, a whale optimization algorithm with two-populations strategy and mutation strategy(TMWOA) is proposed in this paper. The two-populations strategy speeds up the convergence of the algorithm by exchanging information about the two-populations. The mutation strategy enhances the ability of the algorithm to jump out of the local optimal solutions by using the information of the current optimal solution. Based on the TMWOA, we propose a multi-output MPRM logic circuits power optimization approach(TMMPOA). Experiments based on the benchmark circuits of the Microelectronics Center of North Carolina(MCNC) validate the effectiveness and superiority of the proposed TMMPOA.

关键词： Multi-output mixed polarity Reed-Muller Power optimization Combinatorial optimization problem Whale optimization algorithm Two-populations strategy Mutation strategy

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An Intelligent Privacy Protection Scheme for Efficient Edge Computation Offloading in IoV

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Chinese Journal of electronics 2024年第4期33卷 910-919页

作者： Liang YAO Xiaolong XU Wanchun DOU Muhammad Bilal School of Software Nanjing University of Information Science and Technology State Key Laboratory for Novel Software Technology Nanjing University Department of Computer and Electronics Systems Engineering Hankuk University of Foreign Studies

As a pivotal enabler of intelligent transportation system(ITS), Internet of vehicles(Io V) has aroused extensive attention from academia and industry. The exponential growth of computation-intensive, latency-sensitive,and privacy-aware vehicular applications in Io V result in the transformation from cloud computing to edge computing,which enables tasks to be offloaded to edge nodes(ENs) closer to vehicles for efficient execution. In ITS environment,however, due to dynamic and stochastic computation offloading requests, it is challenging to efficiently orchestrate offloading decisions for application requirements. How to accomplish complex computation offloading of vehicles while ensuring data privacy remains challenging. In this paper, we propose an intelligent computation offloading with privacy protection scheme, named COPP. In particular, an Advanced Encryption Standard-based encryption method is utilized to implement privacy protection. Furthermore, an online offloading scheme is proposed to find optimal offloading policies. Finally, experimental results demonstrate that COPP significantly outperforms benchmark schemes in the performance of both delay and energy consumption.

关键词： Industries Privacy Energy consumption Transportation Computational efficiency Encryption Protection

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Autonomous embodied navigation task generation from natural language dialogues

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science China(information sciences) 2025年第5期68卷 119-132页

作者： Haifeng XU Yongchang LI Lumeng MA Chunwen LI Yanzhi DONG Xiaohu YUAN Huaping LIU Department of Automation Tsinghua University School of Physics and Electronic Information Yantai University School of Electrical and Electronic Engineering Shanghai Institute of Technology Department of Computer Science and Technology Tsinghua University

Robots are increasingly being deployed in densely populated environments, such as homes, hotels, and office buildings, where they rely on explicit instructions from humans to perform tasks. However, complex tasks often require multiple instructions and prolonged monitoring, which can be time-consuming and demanding for users. Despite this, there is limited research on enabling robots to autonomously generate tasks based on real-life scenarios. Advanced intelligence necessitates robots to autonomously observe and analyze their environment and then generate tasks autonomously to fulfill human requirements without explicit commands. To address this gap, we propose the autonomous generation of navigation tasks using natural language dialogues. Specifically, a robot autonomously generates tasks by analyzing dialogues involving multiple persons in a real office environment to facilitate the completion of item transportation between various *** propose the leveraging of a large language model(LLM) through chain-of-thought prompting to generate a navigation sequence for a robot from dialogues. We also construct a benchmark dataset consisting of 625 multiperson dialogues using the generation capability of LLMs. Evaluation results and real-world experiments in an office building demonstrate the effectiveness of the proposed method.

关键词： proactive robot robot navigation service robot large language model

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Binary Equalization Optimizer Based on Variable Order Transfer Functions to Solve High Dimensional Feature Selection Problem

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engineering Letters 2023年第3期31卷 1291-1322页

作者： Hou, Jia-Ning Liu, Yu Wang, Jie-Sheng Song, Hao-Ming Wang, Yu-Cai School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China

Feature selection (FS) is the core concept in the field of both machine learning and data management. FS can eliminate irrelevant or partially related features to improve model performance. Wrapped FS method typically solves the discrete optimization problems by converting continuous values to binary values based on a transfer function. A binary equilibrium optimizer based on variable-order transfer function was proposed to solve high dimensional feature selection problem. Based on the four basic transfer functions of V-shaped, U-shaped, S-shaped and Z-shaped, eight transfer functions with varying order are proposed. Based on the binary equilibrium optimizer, the Relief guided strategy and the KNN classifier, the wrapped feature selection was realized. The simulation experiments were divided into two groups by using 12 medium and high dimensional standard UCI datasets. The first group analyzes the feature selection effect of 8 transfer functions under variable order parameters. In the second group of experiments, each winning parameter in the first group of experiments is selected for comparison. The experiment results prove that a reasonable setting of the order of transfer function can obtain better optimization results, and By analyzing the laboratory data, it can be concluded that the feature selection performance under $1(0.4), $2(1), Z1(2) and V2(3) is better. © 2023, International Association of Engineers. All rights reserved.

关键词： Transfer functions

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Effects of Mg-doping temperature on the structural and electrical properties of nonpolar a-plane p-type GaN films

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Chinese Physics B 2024年第1期33卷 631-636页

作者：陈凯赵见国丁宇胡文晓刘斌陶涛庄喆严羽谢自力常建华张荣郑有炓 Key Laboratory of Advanced Photonic and Electronic Materials School of Electronic Science and EngineeringNanjing UniversityNanjing 210023China School of Electronics and Information Engineering Nanjing University of Information Science and TechnologyNanjing 210044China Xiamen University Xiamen 361005China

Nonpolar(11–20) a-plane p-type GaN films were successfully grown on r-plane sapphire substrate with the metal–organic chemical vapor deposition(MOCVD) system. The effects of Mg-doping temperature on the structural and electrical properties of nonpolar p-type GaN films were investigated in detail. It is found that all the surface morphology, crystalline quality, strains, and electrical properties of nonpolar a-plane p-type GaN films are interconnected, and are closely related to the Mg-doping temperature. This means that a proper performance of nonpolar p-type GaN can be expected by optimizing the Mg-doping temperature. In fact, a hole concentration of 1.3×10^(18)cm^(-3), a high Mg activation efficiency of 6.5%,an activation energy of 114 me V for Mg acceptor, and a low anisotropy of 8.3% in crystalline quality were achieved with a growth temperature of 990℃. This approach to optimizing the Mg-doping temperature of the nonpolar a-plane p-type GaN film provides an effective way to fabricate high-efficiency optoelectronic devices in the future.

关键词： nonpolar a-plane GaN film Mg-doping temperature strains activation efficiency

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Enhancing Emotion Detection in Chatbots for Improved Mental Health Support: Addressing Limitations in Mental Disorders and Emotion Detection 17

Enhancing Emotion Detection in Chatbots for Improved Mental ...

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17th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2024

作者： Krabashini, Nagendran Pillai Guo, Jiandong Chen, Junzuo Han, Bolin Dai, Zihan School of Information & Software Engineering University of Electronic Science & Technology of China China

ISBN: (纸本)9798331507398

The increase in the adoption of AI-driven chatbots in mental health support, accurately detecting and responding to users' emotions is crucial for effective communication. This paper proposes a novel framework that enhances emotion detection in chatbots by leveraging BERT (Bidirectional Encoder Representations from Transformers) and ensemble learning techniques. Our approach addresses the inherent limitations in existing emotion detection systems, particularly when dealing with complex emotional states and mental health disorders. Using an array of tests, we show that our suggested model works better than conventional approaches, providing enhanced precision, resilience, and the ability to more effectively assist mental health therapies. This research contributes to the ongoing development of AI in mental health, providing a more nuanced and effective approach to emotion detection. © 2024 IEEE.

关键词： electronic health record

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