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Deep Semantic communication for Knowledge Sharing in Internet of Vehicles

IEEE Internet of Things Journal 2025年第12期12卷 19202-19214页

作者： Wang, Zhihong Leng, Supeng Zhang, Hanwen Yuen, Chau University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China University of Electronic Science and Technology of China Shenzhen Institute for Advanced Study Shenzhen518000 China Nanyang Technological University School of Electrical and Electronics Engineering Singapore639798 Singapore

Along with the development of Intelligent Transportation System (ITS), artificial intelligence (AI)-based machine learning technologies have been widely utilized in Internet of Vehicles (IoVs). Neural network (NN) based knowledge sharing among vehicles and Road Side Units (RSUs) presents considerable benefits for enhancing vehicle intelligence. However, it is challenging to ensure the efficiency of knowledge sharing under unstable connectivity among vehicles with different NN model architectures. In this paper, we propose a new deep Semantic communication framework for Knowledge Sharing (SCKS), enabling one-to-many NN model transmission and realizing efficient knowledge sharing in an IoV. Based on this framework, a generative distillation algorithm is designed to extract the semantic features of NN model, which can ensure the efficiency of the transmitter for knowledge sharing across different NN models and reduce communication bandwidth demand. In order to facilitate an effective understanding of semantic information by heterogeneous receivers, we design a Generative Adversarial Networks (GAN)-based semantic decoding algorithm. Numerical results on CIFAR10 and ImageNet datasets show that the proposed SCKS outperforms the baseline, especially in the low signal-to-noise (SNR) region. In particular, the simulation results demonstrate superiority of proposed SCKS scheme in terms of bandwidth requirements and computational efficiency for knowledge sharing cross different NN architectures than the state-of-art scheme, including DeepJSCC and knowledge distillation. © 2014 IEEE.

关键词： Generative adversarial networks

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Design and implementation of Marine biometrics identification and recommendation mini program based on YOLO 24

Design and implementation of Marine biometrics identificatio...

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8th International Conference on Electronic information technology and Computer engineering, EITCE 2024

作者： Lin, Meirong Zheng, Zhiguo Wang, Hejia Zhang, Sijin Information Engineering College Hainan Vocational University of Science and Technology Hainan Haikou China School of Information and Communication Engineering Hainan University Haikou Hainan China

ISBN: (纸本)9798400710094

This paper presents a design and implementation scheme of Marine biometrics identification and recommendation mini program based on YOLO object detection algorithm. With the development and utilization of Marine resources, the demand for Marine biological identification and protection applications is increasing, so it is of great significance to design and implement an application that can intelligently identify Marine organisms and recommend high-quality seafood products. There are many limitations in the traditional Marine biometrics, such as fuzzy image and insufficient key technology of target detection. To solve these problems, the project team adopted the improved YOLO algorithm, combining a variety of techniques to improve the accuracy and real-time identification of Marine organisms. The Marine biological recognition and recommendation mini program based on YOLO algorithm can automatically identify the types of Marine organisms in the uploaded pictures, and provide relevant information and suggestions according to the identification results, helping users to understand the overview of Marine organisms more intuitively and clearly, and providing the recommendation function of nearby Marine product merchants. This project verifies the effectiveness and practicability of the mini program through practical application tests in different scenarios, providing the public with a convenient tool to enhance the understanding of Marine biodiversity and support the sustainable development of Marine ecosystems. © 2024 Copyright held by the owner/author(s).

关键词： Biometrics

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Design and implementation of intelligent search assistant based on AIGC and RPA 24

Design and implementation of intelligent search assistant ba...

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8th International Conference on Electronic information technology and Computer engineering, EITCE 2024

作者： Lin, Meirong Zheng, Zhiguo Information Engineering College Hainan Vocational University of Science and Technology Hainan Haikou China School of information and communication engineering Hainan University Hainan Haikou China

ISBN: (纸本)9798400710094

With the rapid development of artificial intelligence technology, intelligent search assistant has become a key tool to improve the efficiency of information retrieval. This paper presents a design and implementation scheme of intelligent search assistant based on artificial intelligence-generated Content (AIGC) and robotic process automation (RPA). By integrating natural language processing (NLP) technology, the system realizes accurate understanding and intelligent analysis of user queries, and uses RPA technology to automate search tasks, which can quickly understand user query intentions and provide accurate search results. The experimental results show that the intelligent search assistant is superior to the traditional search tools in terms of information retrieval speed and accuracy, and provides users with an efficient means of information acquisition in the era of information explosion. It provides an efficient means of information acquisition for users in the era of information explosion. © 2024 Copyright held by the owner/author(s).

关键词： Structured Query Language

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OH-DRL: An AoI-Guaranteed Energy-Efficient Approach for UAV-Assisted IoT Data Collection

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IEEE Transactions on Wireless communications 2025年第6期24卷 5009-5022页

作者： Yang, Bowen Yu, Yao Hao, Xin Yeoh, Phee Lep Zhang, Junxiong Guo, Lei Li, Yonghui Northeastern University School of Computer Science and Engineering Ministry of Education Northeastern University and Key Laboratory of Intelligent Computing in Medical Image Shenyang110819 China Deakin University School of Information Technology VIC3216 Australia University of the Sunshine Coast School of Science Technology and Engineering Australia Chongqing University of Posts and Telecommunications School of Communication and Information Engineering Chongqing400065 China University of Sydney School of Electrical and Computer Engineering SydneyNSW2006 Australia

In this paper, we propose a hierarchical optimization approach that guarantees the maximum age of information (AoI) for unmanned aerial vehicle (UAV) assisted Internet-of-Things (IoT) data collection. Our model is based on an energy-efficient simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) beamforming model. We formulate the optimization to minimize the UAV flight energy consumption subject to a maximum average AoI threshold by optimizing the UAV trajectory, IoT device scheduling, and STAR-RIS beamforming. To solve this, we develop an optimization-based hierarchical deep reinforcement learning (OH-DRL) algorithm that decomposes the formulated problem into an inter-cluster UAV visiting policy and STAR-RIS-based intra-cluster IoT scheduling policy. In OH-DRL, we jointly optimize the two policies in a high-level loop and a low-level loop, respectively. In the high-level loop, we design an AoI-guided DRL algorithm to determine the AoI-guaranteed UAV hovering position with minimal flight distance. In the low-level loop, a semidefinite relaxation (SDR)-based optimization algorithm further reduces the UAV’s flying time by minimizing the average AoI. Simulation results validate that OH-DRL achieves better convergence performance and energy-saving efficiency across different network scales. Compared to the state-of-the-art DRL algorithm, OH-DRL reduces the UAV flight energy consumption by 14.4% and decreases the number of training episodes required for convergence by 66%. © 2025 IEEE. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Mainlobe Deceptive Interference Suppression with Planar Frequency Diverse Array MIMO Radar

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IEEE Transactions on Aerospace and Electronic Systems 2025年第3期61卷 7626-7638页

作者： Zhang, Mengdi Lu, Jiahao Xu, Jingwei Li, Shiyin China University of Mining and Technology School of Information and Control Engineering Xuzhou221116 China Xidian University National Laboratory of Radar Signal Processing Xi'an710071 China

Frequency diversity array (FDA) is capable of suppressing mainlobe deceptive interference with delays exceeding one pulse relative to the true target, known as inter-pulse interference. However, current FDA-based interference suppression methods are ineffective when both inter-pulse and intra-pulse interferences coexist. To this end, we propose a two-stage mainlobe deceptive interference suppression method with planar FDA multiple-input-multiple-output (PFDA-MIMO) radar: 1) Horizontal transmit spatial frequency compensation (HTSFC) is applied using the range information of each range bin to differentiate between inter-pulse interferences and target. Subsequently, data-independent beamforming is performed to suppress inter-pulse interferences in horizontal spatial frequency domain;2) To distinguish the target from intra-pulse interferences, vertical transmit spatial frequency compensation (VTSFC) is applied utilizing the initial range of the range bin containing target. Afterwards, an adaptive beamforming (ABF) approach based on transmit-receive spatial smoothing (TRSS) is applied to suppress intra-pulse interference while avoiding target cancellation. Furthermore, the frequency increments in both rows and columns of PFDA are elaborately designed to effectively distinguish between true target and interferences. Extensive simulations are conducted to evaluate the excellent suppression effect of the proposed scheme against mainlobe deceptive interference. © 2025 IEEE.

关键词： Frequency domain analysis

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Joint Computing and communication Resource Allocation for Edge Computing towards Huge LEO Networks

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China communications 2022年第8期19卷 73-84页

作者： Min Jia Liang Zhang Jian Wu Qing Guo Xuemai Gu Communication Research Center School of Electronics and Information EngineeringHarbin Institute of TechnologyHarbin 150080China

The satellite-terrestrial cooperative network is considered an emerging network architecture,which can adapt to various services and applications in the future communication *** recent years,the combination of satellite communication and Mobile Edge Computing(MEC)has become an emerging research *** edge computing can provide users with full coverage on-orbit computing services by deploying MEC servers on *** paper studies the task offloading of multi-user and multi-edge computing satellites and proposes a novel algorithm that joint task offloading and communication computing resource optimization(JTO-CCRO).The JTO-CCRO is decoupled into task offloading and resource allocation *** the mutual iteration of the two sub-problems,the system utility function can be further *** the task offloading sub-problem,it is first confirmed that the offloading problem is a game *** offloading strategy can be obtained from the Nash equilibrium *** confirm resource optimization sub-problem is a convex optimization problem that can be solved by the Lagrange multiplier *** shows that the JTO-CCRO algorithm can converge quickly and effectively reduce the system utility function.

关键词： satellite edge computing task offloading resource allocation potential game nash equilibrium

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Doppler Spectrum Generation Method Considering Unsteady Moving Scatterers in V2V communications

Doppler Spectrum Generation Method Considering Unsteady Movi...

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2024 International Symposium on Antennas and Propagation, ISAP 2024

作者： Kutsukawa, Tatsuya Nakabayashi, Hiroaki Department of Information and Communication Systems Engineering Graduate School of Engineering Chiba Institute of Technology Chiba Narashino-shi Japan

ISBN: (纸本)9798350364774

Recently, vehicle-to-vehicle (V2V) communications have been studied as technology to realize automated driving. To realize a reliable wireless communication system, a propagation model suitable for V2V communications is necessary. V2V communications have a characteristic that both the transmitting and receiving points move, which is different from cases that one of the transmitting and receiving points moves. This paper proposes a method to generate Doppler spectrum on a computer, considering unsteady moving objects around the transmitting and receiving points. By using the proposed method, it is possible to evaluate the influence of large frequency shifts caused by moving objects other than the transmitting and receiving points, and this method is highly useful for the design of V2V communication systems. © 2024 IEEE.

关键词： computer simulation Doppler spectrum moving scatterer unsteady state V2V communications

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Parallel generation of low-correlation wideband complex chaotic signals using CW laser and external-cavity laser with self-phase-modulated injection

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Opto-Electronic Advances 2022年第5期5卷 49-56页

作者： Anke Zhao Ning Jiang Jiafa Peng Shiqin Liu Yiqun Zhang Kun Qiu School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China.

A novel scheme for generating optical chaos is proposed and experimentally demonstrated,which supports to simultaneously produce two low-correlation chaotic signals with wideband spectrum and suppressed time-delay-signature(TDS).In the proposed scheme,we use the output of an external-cavity semiconductor laser(ECSL)as the driving signal of a phase modulator to modulate the output of a CW *** the phase-modulated continuous-wave(CW)light is split into two parts,one is injected back into the ECSL that outputs one chaotic signal,while the other part is passed through a dispersion module for generating another chaotic signal *** experimental results prove that the proposed scheme has three ***,it can improve the bandwidth of ECSL-based chaos by several times,and simultaneously generate another wideband flat-spectrum chaotic ***,the undesired TDS characteristics of the simultaneously-generated chaotic signals can be efficiently suppressed to an indistinguishable level within a wide parameter range,as such the complexities of the chaotic signals are considerably ***,the correlation coefficient between these two simultaneously-generated chaotic signals is smaller than *** proposed scheme provides an attractive solution for parallel multiple chaos generation,and shows great potential for multiple channel chaos communications and multiple random bit generations.

关键词： optical chaos optical feedback semiconductor laser electro-optic phase modulation

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Enhancing thermoelectric performance in P-type Mg_(3)Sb_(2)-based Zintls through optimization of band gap structure and nanostructuring

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Journal of Materials Science & technology 2024年第3期170卷 25-32页

作者： Yi-bo Zhang Ji-Sheng Liang Chengyan Liu Qi Zhou Zhe Xu Hong-bo Chen Fu-cong Li Ying Peng Lei Miao Guangxi Key Laboratory of Information Material Engineering Research Center of Electronic Information Materials and DevicesMinistry of EducationSchool of Material Science and EngineeringGuilin University of Electronic TechnologyGuilin 541004China Guangxi Key Laboratory for Relativity Astrophysics Center on Nanoenergy ResearchGuangxi Key Laboratory of Processing for Nonferrous Metal and Featured MaterialsSchool of Physical Science&TechnologyGuangxi UniversityNanning 530004China Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic TechnologySchool of Information and CommunicationGuilin 541004China

P-type Mg_(3)Sb_(2)-based Zintls have attracted considerable interest in the thermoelectric(TE)field due to their environmental friendliness and low ***,compared to their n-type counterparts,they show relatively low TE performance,limiting their application in TE *** this work,we simultaneously introduce Bi alloying at Sb sites and Ag doping at Mg sites into the Mg_(3)Sb_(2)to coopera-tively optimize the electrical and thermal properties for the first time,acquiring the highest ZT value of∼0.85 at 723 K and a high average ZT of 0.39 in the temperature range of 323-723 K in sample Mg_(2.94)Ag_(0.06)Sb_(1.9)Bi_(0.1).The first-principle calculations show that the codoping of Ag and Bi can shift the Fermi level into the valence band and narrow the band gap,resulting in the increased carrier concentration from 3.50×10^(17)cm^(-3)in the reference Mg 3 Sb 0.9 Bi 0.1 to∼7.88×10^(19)cm^(-3)in sample Mg 2.94 Ag 0.06 Sb 0.9 Bi *** a result,a remarkable power factor of∼778.9μW m^(-1)K^(-2)at 723 K is achieved in sample Mg 2.94 Ag 0.06 Sb 0.9 Bi ***,a low lattice thermal conductivity of∼0.48 W m^(-1)K^(-1)at 723 K is also obtained with the help of phonon scattering at the distorted lattice,point defects,and nano-precipitates in sample Mg 2.94 Ag 0.06 Sb 0.9 Bi *** synergistic effect of using the multi-element co-doping/-alloying to optimize electrical properties in Mg_(3)Sb_(2)holds promise for further improving the TE performance of Zintl phase materials or even others.

关键词： Thermoelectric materials Band engineering Nanostructuring P-type Mg_(3)Sb_(2) Ag and Bi Co-doping

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McEliece Public-Key Cryptosystem Based on Cyclic Codes 16

McEliece Public-Key Cryptosystem Based on Cyclic Codes

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16th International Conference on Wireless communications and Signal Processing, WCSP 2024

作者： Ye, Junlong Chen, Deyuan Gao, Shaoshuai Zhang, Can Chen, Zhihuan School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350390643

The McEliece public key cryptosystem is known for its resistance to quantum attacks. However, its application potential remains limited due to challenges such as large key size and low coding efficiency. In this paper, we proposed a McEliece public-key cryptosystem based on cyclic codes to reduce the key size. The matrix generated by the Goppa codes is replaced with the matrix generated by the cyclic code in encoding, the private key matrix is transformed into the row vector of the generator polynomial. Performance evaluations and security analysis reveal that the refined system retains commendable coding efficacy and security with a condensed key space. © 2024 IEEE.

关键词： Quantum cryptography

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