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3rd International Conference on Electronics and information technology, EIT 2024

作者： Zhou, Hongli Ningxia Institute of Science and Technology School of Electronic Information Engineering Ningxia China

ISBN: (纸本)9798350369151

Intelligent car is a kind of wheeled robot, which has high research and application value because of its small size, full functions and wide application. Combining Android mobile phone, mobile robot and remote control technology, this paper designs an intelligent car control system based on Android system and raspberry pie. Firstly, the intelligent car system based on the raspberry pie as the main board not only has the most basic mobile function, but also has designed and completed the functions of ultrasonic ranging automatic obstacle avoidance, steering gear pan/tilt rotation and video capture (its video capture function is realized by downloading and configuring OpenCV software on the raspberry pie, and then using OpenCV software). In addition, in the software design, Python programming is used to control all hardware modules, and the control instructions sent by Android App are received through WiFi, so as to realize the movement of smart car, the rotation of steering gear and the video data transmission. After performance test, the functions of intelligent car movement, ultrasonic ranging and obstacle avoidance, steering gear rotation and video acquisition have been realized. © 2024 IEEE.

关键词： C (programming language)

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Research on Semantic Communication Based on Joint Control Mechanism of Shallow and Deep Neural Network

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Chinese Journal of Electronics 2025年第2期34卷 698-711页

作者： Xie Wenwu Xiong Ming Ren Ziqing Wang Ji Yang Zhihe School of Information Science and Engineering Hunan Institute of Science and Technology Yueyang 414006 China School of Computer Science Hefei Normal University Hefei 230001 China College of Physical Science and Technology Central China Normal University Wuhan 430079 China

With the rapid development of deep learning, various semantic communication models are emerging, but the current semantic communication models still have much room for improvement in the coding layer. For this reason, a joint-residual neural networks (Joint-ResNets) framework based on the joint control of shallow neural networks (SNNs) and deep neural networks (DNNs) is proposed to cope with the problems in semantic communication coding. The framework synergizes SNNs and DNNs based on their shared utility, and uses variable weight \begin{document}$\alpha$\end{document} term to control the ratio of SNNs and DNNs to fully utilize the simplicity of SNNs and the richness of DNNs. The article details the construction of the Joint-ResNets framework and its canonical use in classical semantic communication models, and illustrates the control mechanism of the variable weight \begin{document}$\alpha$\end{document} term in the Joint-ResNets framework and its importance in balancing the model complexity between SNNs and DNNs. The article takes the task-oriented communication model in the device edge collaborative reasoning system as an example for experimentation and analysis. The experimental validation shows that DNNs and SNNs can be combined in a more effective way to standardize semantic coding, which improves the overall predictive performance, interpretability, and robustness of semantic communication models, and this framework is expected to bring new breakthroughs in the field of semantic communication.

关键词： Semantic communication Residual neural networks (ResNets) Joint control mechanisms Edge reasoning

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Target Identification Method on Ship Formation Imaging for HFSWR

Target Identification Method on Ship Formation Imaging for H...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Wang, Jiaqi Liu, Aijun Yu, Changjun Harbin Institute of Technology at Weihai School of Information Science and Engineering Weihai China

ISBN: (纸本)9798350375909

Ship detection has been an area of focus for high-frequency surface wave radar (HFSWR). The detection and identification of ship formation have proven significant in early warning, while studies on the formation identification are limited under the complex background and low resolution of HFSWR. In this paper, we first analyze the motion of HFSWR ship formation, and establish a matching ship formation spatial distribution model. There are two types of formations with rigid structures that are range-Doppler (RD) imaging and studied. Then, we propose a cascade identification method of target on ship formation imaging. The proposed algorithm includes a two-stage formation identification stage. In the first-stage, the extremum detector based on the gray value is employed to find cells with suspicious targets, and the Seed-Filling (SF) algorithm is introduced to connect multi-cell regions belonging to the same ship formation. An extremum detector based on connected regions is proposed to avoid duplicate detection of the same ship formation, and reduce data to be processed in the second-stage. In the second-stage, a lightweight CNN is designed to extract the convolutional features of suspicious targets. The highly abstract features extracted by CNN are input into the extreme learning machine (ELM) for efficient classification. We propose CNN-ELM to identify two densely distributed ship formations from inhomogeneous clutter and single-ship targets. The experimental results based on factual HFSWR background demonstrate that our CNN-ELM model surpasses classic Alexnet and Resnet18 in terms of detection accuracy (97.5%) and processing time (0.871 s). Our proposed cascade identification algorithm is suitable for ship formation identification. © 2024 IEEE.

关键词： Doppler effect

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Joint Transmit and Reflective Beamforming Design for Active IRS-Aided SWIPT Systems

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Chinese Journal of Electronics 2024年第2期33卷 536-548页

作者： Weiping SHI Qingqing WU Di WU Feng SHU Jiangzhou WANG School of Electronic and Optical Engineering Nanjing University of Science and Technology Department of Electronic Engineering Shanghai Jiao Tong University School of Information and Communication Engineering Hainan University Department of Automation Shanghai Jiao Tong University School of Engineering University of Kent

To further improve the performance of passive intelligent reflecting surface(IRS)-assisted communication systems and mitigate the serious path loss due to “double-fading ” of IRS-assisted links, an active IRS-aided simultaneous wireless information and power transfer(SWIPT) system is investigated. This paper jointly optimizes the transmit beamforming at the base station(BS) and the phase shifts at the active IRS in order to maximize the power collected by the energy harvesting receiver under both perfect and imperfect channel state information(CSI)states, subject to the signal-to-interference-noise ratio constraint of the information decoding receiver, and the power constraints of the BS/IRS. Under perfect CSI, the alternating optimization algorithm is utilized for obtaining the transmit beamforming at the BS and the phase shifts at the active IRS. For each subproblem, we first transform nonconvex objective function and constraints into convex ones by performing a first-order Taylor expansion. Then, each subproblem is solved by using the interior point method. Given that obtaining perfect CSI is impractical, two robust beamforming designs are proposed for imperfect CSI case. Under the bounded CSI error model, we first transform the non-convex optimization problem into two semidefinite programming subproblems, and then solve each subproblem based on S-procedure and sequential rank-one constraint relaxation(SROCR) techniques. Under the stochastic CSI error model, the alternating optimization method is applied in an iterative manner based on Bernstein-type inequality and SROCR technique. Simulation results show that both robust and non-robust schemes for active IRS-assisted SWIPT systems can achieve extremely superior performance over conventional passive IRS-assisted systems under the same overall power budget.

关键词： Active intelligent reflecting surface Energy harvesting Perfect channel state information Imperfect channel state information Simultaneous wireless information and power transfer

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Deep Learning-Based Intrusion Detection System for Internet of Things Networks for Enhancing Security Against Cyber Attacks

Deep Learning-Based Intrusion Detection System for Internet ...

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International Conference on Electrical and Electronics engineering, ICEEE 2023

作者： Sharma, Preeti Hasan, Dler Salih Marthandan, T. Singh, Jagendra Chaku, Shweta Tiwari, Mohit Department of Computer Science Engineering Raj Kumar Goel Institute of Technology AKTU University Lucknow India Department of Computer Science and Information Technology University of Salahaddin Erbil Iraq Electronics and Communication Engineering K S R Institute for Engineering and Technology Tiruchengode India School of Computer Science Engineering & Technology Bennett University Greater Noida India Department of Computer Science Engineering Inderprastha Engineering College Ghaziabad AKTU Lucknow India Computer Science and Engineering Bharati Vidyapeeth’s College of Engineering Delhi India

ISBN: (纸本)9789819986606

Deep learning algorithms are used in this research to propose a novel approach to intrusion detection in Internet of Things (IoT) networks. The suggested intrusion detection system employs a six-layered deep neural network architecture, which is augmented with a feature extraction module to examine network packet data and identify dangerous activities. The system was evaluated against a large dataset that comprised the following five primary attack types encountered in IoT environments: Blackhole Attacks, Opportunistic Attacks, Distributed Denial of Service (DDoS) Attacks, Wormhole Attacks, and Sinkhole Attacks. Performance evaluation metrics such as precision, recall, accuracy, specificity, and F1 Score were used to evaluate the system's effectiveness in recognizing and categorizing attacks. The data demonstrate that across various forms of assault, accuracy and recall rates vary from 93 to 96.4%. The F1 Score demonstrates balanced performance, highlighting the system's ability to eliminate false positives and false negatives. The feature extraction module considerably improved the dataset by adding essential network packet attributes such as source and destination IP addresses, session duration, and transmission rates, increasing the overall accuracy of the intrusion detection system. The utility of the proposed deep learning model in dealing with diverse attack scenarios is shown by its ability to detect and neutralize various intrusion attempts. This research extends intrusion detection methodologies by presenting a robust and intelligent solution to safeguard critical data and resources in IoT networks. Continuous research and development, on the other hand, are essential in real-world IoT deployments to handle new attack vectors and provide system adaptability to dynamic network situations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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IoT-Aided Charity-Redistribution of Excess Food 2

IoT-Aided Charity-Redistribution of Excess Food

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2nd International Conference on Emerging Trends in information technology and engineering, ic-ETITE 2024

作者： Yogananth, V.S. Balasubramani, M. Vellore Institute of Technology Department of Computer Applications Tamil Nadu Vellore India School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore India

ISBN: (纸本)9798350328202

The utilization of the Internet of Things (IOT) has shown significant potential in various aspects of daily life, yet its application in addressing social issues remains underdeveloped. India, with a substantial number of orphanages, faces challenges in efficiently distributing crucial information, hindering donors from obtaining accurate data on food reserves. This project proposes an IOT-based system to tackle this issue, using Node MCU IOT devices connected to sensors that relay data through a network, accessible and monitorable via web applications. The proposed system architecture aims to bridge the gap between those who waste food and those in poverty who desperately need it. We intend to facilitate food donations by implementing smart containers equipped with IOT technology. These containers can detect excess food waste and share this information via a GSM module with trusted charitable organizations. This application is designed to serve three main stakeholders: service providers, donors, and food recipients in need. By creating smart containers, we ensure that donated food reaches the right individuals. We prioritize collaborating with trusted charities to oversee the distribution process. Only authorized charity members can access and distribute the food stored in these containers, ensuring that it reaches those who need it most. © 2024 IEEE.

关键词： Containers

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Study on the Influence of Flexible Pressure Sensing Array Unit Arrangement on Force-Sensitive Characteristics 4

Study on the Influence of Flexible Pressure Sensing Array Un...

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4th International Conference on Electronic information engineering and computer science, EIECS 2024

作者： Lin, Yafei Wang, Yang Bai, Yu Shi, Chenyu School of Electronic and Information Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)9798331531409

To study the influence of the shape and arrangement of the array in flexible pressure sensors on their force-sensitive characteristics, based on the piezoresistive characteristics of graphene, the COMSOL Multiphysics finite element simulation software is used to conduct research on the influence of the shape and arrangement of the pressure-sensitive film layer on the force-sensitive characteristics. The simulation results show that when an external load of 100 kPa is applied under the same area, the maximum deformation of the square film is 0.455507 mm, the maximum deformation of the circular film is 0.565305 mm, the maximum deformation of the regular hexagonal film is 0.528622 mm. When regular hexagonal array units are arranged in a honeycomb shape, the array has a higher response degree to pressure, and the honeycomb arrangement can greatly improve the space utilization rate of the array. The minimum arrangement duty cycle for accurately identifying the pressure distribution needs to reach more than 40%. © 2024 IEEE.

关键词： Honeycomb structures

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Line and Phase Selection Method for High Resistance Fault in Asymmetric Distribution Network Based on Flexible Grounding technology 4

Line and Phase Selection Method for High Resistance Fault in...

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4th International Conference on Energy engineering and Power Systems, EEPS 2024

作者： Chen, Jingzhuo Wang, Zhan Lan, Yuting Zhu, Hongjie School of Electrical & Information Engineering Changsha University of Science & Technology Changsha China

ISBN: (纸本)9798350366914

In view of the difficulty of line selection and phase selection in the case of high resistance grounding fault in three-phase asymmetric distribution network, a method of line selection and phase selection based on flexible grounding technology is proposed. Firstly, the relationship between the neutral point voltage to ground and the injection current and the zero sequence current of each feeder in the flexible grounding system is obtained by theoretical derivation. Then, when the system is running normally, a primary current is injected into the neutral point through the active inverter, and the ground voltage and zero sequence current of each feeder are measured to obtain the relevant ground parameters and the inherent unbalance current. Finally, the fault line is selected by calculating the amplitude of the change between the zero sequence current of each feeder measured after the high resistance ground fault occurs and the neutral voltage after the fault occurs during normal operation. Fault phase selection is carried out by using the relationship between variable phase Angle and three-phase bus voltage after fault. The PSCAD/EMTDC (Power System computer Aided Design/Electromagnetic Transient program for DC) simulation results show that the line selection and phase selection results are accurate for high resistance ground fault, and the measurement errors of ground parameters and inherent unbalance current are relatively small. © 2024 IEEE.

关键词： fault line selection fault phase selection flexible grounding technology high resistance grounding fault

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Fixed-point quantum continuous search algorithm with optimal query complexity

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science China(Physics,Mechanics & Astronomy) 2025年第6期68卷 80-91页

作者： Shan Jin Yuhan Huang Shaojun Wu Guanyu Zhou Chang-Ling Zou Luyan Sun Xiaoting Wang Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610051China Key Laboratory of Quantum Information CASUniversity of Science and Technology of ChinaHefei 230022China Center for Quantum Information Institute for Interdisciplinary Information SciencesTsinghua UniversityBeijing 100084China Department of Electronic and Computer Engineering The Hong Kong University of Science and TechnologyHong Kong 999077China Hefei National Laboratory Hefei 230088China

Continuous search problems(CSPs),which involve finding solutions within a continuous domain,frequently arise in fields such as optimization,physics,and *** discrete search problems,CSPs require navigating an uncountably infinite space,presenting unique computational *** this work,we propose a fixed-point quantum search algorithm that leverages continuous variables to address these challenges,achieving a quadratic *** by the discrete search results,we manage to establish a lower bound on the query complexity of arbitrary quantum search for CSPs,demonstrating the optimality of our *** addition,we demonstrate how to design the internal structure of the quantum search oracle for specific ***,we develop a general framework to apply this algorithm to a range of problem types,including optimization and eigenvalue problems involving continuous variables.

关键词： quantum search quantum algorithm quantum computation optimization spectral problems

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Single-layer terahertz metasurface for multichannel vortex device based on polarization multiplexing 10

Single-layer terahertz metasurface for multichannel vortex d...

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Nano-optoelectronics and Micro/Nano-photonics X 2024

作者： Zhao, Fang Xu Dong, Peng Zhang, Ming School of Information and Engineering Hebei University of Science and Technology Shijiazhuang050018 China

ISBN: (纸本)9781510682160

Orbital angular momentum (OAM) beams are special beams with helical phase distribution. The conventional methods for generating OAM beams primarily rely on devices such as spiral phase plates, cascaded lens, and spatial light modulators. However, these methods incur high costs and face challenges in meeting the demands for optical system miniaturization and integration. The appearance of metasurface provides a new platform for the generation of integrated OAM beams. In order to achieve low crosstalk multi-channel OAM multiplexing on a single-layer metasurface, this work researches the phase and amplitude characteristics of co-polarization and cross-polarization in the transmission phase generation process. In addition, under the normal irradiation of circularly polarized light, three OAM beams carrying different topological charges are successfully generated by adjusting the structural parameters and rotation angles of the unit. The proposed terahertz metasurface demonstrates the ability to control complex wavefronts and offers a new avenue for developing multi-channel terahertz metasurfaces. © 2024 SPIE.

关键词： Angular momentum

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