6 18 2023

      RESEARCH PAPER

    • Enhancement Scheme of 5G Services on High-Speed Train

      ZHOU Xin, WANG Meng, ZHOU Ming-yuan, MA Yan, REN Qiao, LIN Si-yu
      Vol. 6, Issue 18, Pages: 1-6(2023) DOI: 10.3969/j.issn.2096-6091.2023.18.001
      摘要:5G networks can not only provide high-quality video entertainment services for passengers on high-speed trains but also offer a reliable and efficient vehicle-to-ground information transmission channel for intelligent operation and maintenance of trains. To achieve 5G coverage inside the train carriages, signal propagation through 5G base stations located alongside the railway tracks is exploited. However, due to significant signal attenuation caused by the metallic body of trains, the above coverage method requires dense deployment of trackside stations and high-power transmission to guarantee adequate signal strength, resulting in high costs for providing 5G services of trains. This paper investigates enhancement schemes of 5G services on high-speed trains by leveraging onboard 5G devices. According to the onboard coverage method and services offloading approach, the enhancement schemes of 5G services can be categorized into four options: customer premise equipment (CPE) combined with edge user plane function (UPF) offloading, onboard Wi-Fi combined with content delivery network (CDN) node offloading, 5G small cells onboard combined with edge UPF offloading, and 5G small cells combined with CDN node offloading. This paper provides a detailed description of the technical implementation for each scheme and investigates a comprehensive analysis of the advantages, disadvantages, and technical challenges of the above schemes. Finally, considering the technical challenges of providing 5G services on high-speed trains, recommendations for further practical validation are proposed.  
      关键词:high-speed train;5G services;services offloading;small cells onboard   
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    • NIE Yan, JIANG Peng-fei, BIAN Fang, JIA Fang-yuan
      Vol. 6, Issue 18, Pages: 7-12(2023) DOI: 10.3969/j.issn.2096-6091.2023.18.002
      摘要:The classification of terrain objects in remote sensing data based on semantic segmentation model is becoming one of the newest methods adopted by RS interpretion task. Among those models, the Unet is likely to be the widely used one because of which of the succinct web structure, efficient training and easily construction. This paper aims to try hardest to strengthen the volume of RS data information through the way of promoting the volume of information in three aspects called texture, spectrum and semantics in data. The mainly jobs done among which contains as follows: (1) improve the classic Unet model by adopting the Resnet modules; (2) solve the problems of data-feed way and "chink" between adjacent data tiles; (3) adopt data series-coupled method to realize the integration of the three features mentioned above. The consequence of experiment indicates that the advanced Unet model can hold deeper data-transform layers but at the same time prevent model degeneration and keep texture information transmission, and thus imporve the medel's capability of recognizing abundant semantic features. and that the method of data series-coupled integrates all of three of the high-level semantic feature, high-frequency texture feature and primary spectral information feature, and thus to help imporve the SVM model's precision of classification to achieve a better effect in terrain objects segmentation task.  
      关键词:Res-Unet model;semantic feature;data series-coupled;informative characters   
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    • HE Ning, GUO Yong-hong, BI Jia-na, XU Qiu-xi
      Vol. 6, Issue 18, Pages: 13-19(2023) DOI: 10.3969/j.issn.2096-6091.2023.18.003
      摘要:Digital transformation of big data fundamentals course is an important trend of current teaching reform. The main work of this study is to explore the digital teaching mode which is suitable for big data fundamentals course. Under the guiding ideology of “three cores and one orientation” in line with the digital transformation action of vocational colleges, the teachers proceed from the actual teaching, from the digital course content to the course design, development, and implementation, also carry on the teaching method improvement, optimization as well as teaching application and result evaluation. The teaching team forms the reasonable teaching plan, strategy and the method which owns the promotion significance through the data analysis based on the online learning platform, explores, and realizes the digital transformation and the application unceasingly. The digital transformation has brought more teaching resources and the technical means for big data fundamentals course teaching, has produced the profound influence to the teaching method, the teaching content, and the evaluation method and shas the vital significance for the promotion higher education innovation and the upgrade. In the future, digital technology will further deepen and expand to various practical fields and teaching sessions, and teaching methods, contents and evaluations will be more diversified and personalized. The way of digital transformation will pay more attention to the cultivation of students’ learning experience and autonomous learning ability, leverage the advantages of digital technologies, realize the comprehensive digital transformation of education, and improve the quality and efficiency of education.  
      关键词:Big Data fundamentals course;Digital Transformation;teaching application;online learning platform   
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    • Person Re-Identification Based on Text-Assisted Image Information

      CHEN Yi, WU Xiao-hong, CHEN Hong-gang, HE Xiao-hai
      Vol. 6, Issue 18, Pages: 20-25(2023) DOI: 10.3969/j.issn.2096-6091.2023.18.004
      摘要:The person re-identification (Re-ID) technology aims to retrieve pedestrian images with the same identity as the query image from multiple different cameras. In Re-ID, different pedestrians may have similar appearance. And affected by camera viewpoints, pedestrian pose and other factors, person re-identification may face serious occlusion problems. In order to solve these problems, we propose a Re-ID algorithm for text assisted image information, construct image channels and text channels, and use OSNet (Omni-Scale Network) network and SRU (Simple Recurrent Units) network to extract image features and text features, respectively. Image features are divided into global features and local features. Text information can accurately describe a person, and has high robustness to occlusion problems. Global features focus on the overall information of pedestrians, and local features provide fine-grained details. Therefore, image information supplemented with text information can improve the robustness of the network model. Experiments on Market1501 and CUHK03 datasets can prove the effectiveness of this method.  
      关键词:person re-identification;global features;local features;text features;Deep learning   
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      更新时间:2025-03-26

      CORRESPONDENCE

    • Design of Human Body Cooling System Based on Semiconductor Refrigeration

      YAN Rui, LIU Shi-lei, LIU Ting, CHENG Pei, WANG Qian
      Vol. 6, Issue 18, Pages: 26-29(2023) DOI: 10.3969/j.issn.2096-6091.2023.18.005
      摘要:This innovative human body cooling system centers around semiconductor refrigeration, utilizing liquid circulation and a connected waterway to deliver cooling power to the human body cooling garment. By exchanging heat between the cooling garment and the human body, the desired cooling effect is achieved. To achieve a small, lightweight, portable, and highly integrated refrigeration system, this paper proposes a novel high-density toothed copper heat exchange solution on the hot end and an integrated aluminum fin water cooling system on the cold end. This design significantly reduces the volume and weight of the core refrigeration components, with the heat exchanger and refrigeration unit being seamlessly welded together, eliminating any mechanical connections and reducing the loss of cooling power caused by thermal short-circuiting, thereby enhancing the cooling capacity and conversion efficiency. The core refrigeration component has a cooling capacity of 21 W, with an efficiency of 80%, and weighs only 160 g, occupying a volume of 7×3×6 cm³. The specially designed waterway system in the cooling garment minimizes liquid flow resistance, facilitating uniform temperature distribution. Additionally, the adjustable and specialized structural design of the cooling garment ensures an effective fit for different body types, enabling ample heat exchange between the human body and the cooling garment, achieving optimal cooling effect.  
      关键词:semiconductor refrigeration;human body cooling;integrated design   
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    • Application of IoT Sensor Technology in Smart Car-Park

      HE Yan-ping, RAN Jing-yu
      Vol. 6, Issue 18, Pages: 30-35(2023) DOI: 10.3969/j.issn.2096-6091.2023.18.006
      摘要:With the continuous development of urbanization, the number of cars is increasing year by year. Traditional plane car-parks can no longer meet the needs of urban development, and there are also problems such as low utilization rate of parking spaces, few parking spaces, and parking safety. Therefore, this study designs a smart car-park system based on IoT sensor technology, which combines the control equipment, sensing mechanism, IoT gateway, and cloud platform of the smart car-park. It collects sensor data from various ends of the smart car-park through the internet of things gateway, transmit it to the cloud platform, monitor or trigger commands on the cloud platform, and achieve intelligent management of vehicle entry and exit of the smart car-park. This design has been verified through practical applications to demonstrate the reliable application of IoT sensor technology, which can bring great convenience to parking communities, property management personnel, and system maintenance personnel. We believe that the smart car-park system will become an important part of future urban transportation and make more contributions to resolve urban traffic congestion and parking difficulties.  
      关键词:IoT sensor;Smart car-park;cloud platform;detecting unit   
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    • WANG Cha-san, ZHOU Yang, XUE Jing-gu
      Vol. 6, Issue 18, Pages: 36-40(2023) DOI: 10.3969/j.issn.2096-6091.2023.18.007
      摘要:Optical interconnection technology is a key technology in fields such as broadband communication, supercomputing, and data centers, and is also widely used in the field of radar electronics. In order to meet the requirements of harsh environments such as wide temperature, anti vibration, and anti impact in the field of radar electronics, as well as the technical requirements of high integration, high frequency, and light weight, this article introduces a design concept of a miniaturized optical module based on a common board. This design integrates microelectronics technology and photon technology through integrated packaging technology to achieve the common board integration of electronic chips and optical chips. It not only leverages the advantages of fast optical interconnection speed, large bandwidth, anti-interference, high density, and low power consumption, but also fully utilizes the advantages of mature microelectronics technology, high-density integration, high yield, and low cost. At the same time, a simple analysis of the architecture design and key technologies is conducted, and finally, physical test results are provided. Prove that this optical module can further improve integration, reduce the volume of the optical module, reduce costs and power consumption, and can be applied to more optoelectronic interconnection systems.  
      关键词:radar electronic;optical module;optical integration;common board design   
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