6 16 2023

      RESEARCH PAPER

    • LIU Bo-wen, WANG Yong, HUANG Chao-min, RAN Jing-yu, ZHAO Li-hong
      Vol. 6, Issue 16, Pages: 1-5(2023) DOI: 10.3969/j.issn.2096-6091.2023.16.001
      摘要:A design scheme for a smart lighting security management platform based on edge computing with fifth generation mobile communication technology (5G) is proposed. The platform mainly consists of an edge computing to provide faster network service response built application intelligence, security and privacy protection of the cloud computing platform and a high-speed rate, low-latency 5G, and these two parts are applied to the smart lighting system, effectively solving the traditional smart lighting system exists in the data collection, analysis and intelligent security control is insufficient and other problems: at the same time, in order to realize the 5G network communication on the lighting equipment unified management as well as the access of third-party systems, it also combines geographic information system (GIS) with the system, thus designing a new type of security management platform for urban public 5G intelligent lighting system.  
      关键词:edge computing;5G;Internet of Things (IoT);intelligent lighting   
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      更新时间:2025-03-26
    • Research on Demand Response Based on Real Time Electricity Price

      HE Xian-jia, DU Xin-hui, GONG Fan-yi
      Vol. 6, Issue 16, Pages: 6-13(2023) DOI: 10.3969/j.issn.2096-6091.2023.16.002
      摘要:With the rapid development of smart grid construction and the further reform of electric power system, the development of the commercialization and marketization of electric power is faster than that in any previous stage. One of the current policy trends is to deepen the reform of the electricity market and let the market function, not just let the government plan control. Real-time electricity pricing based on demand response was conceived. It can promote the participation of power users and guide the safe and stable operation of power grid. In this paper, the demand response of real-time electricity price is studied. It introduces the background, significance, current situation and relevant theories of demand response. Then, the common types of real-time electricity prices and principle of price elasticity of demand are analyzed. Based on the analysis of users’ historical electricity consumption data, this paper studies the users’ electricity consumption response behavior, establishes a regression model of user demand response based on gradient descent method, and predicts the optimal demand of users participating in demand response under this mechanism. This model utilizes the idea of regression to analyze the user’s self elasticity and cross elasticity coefficients, in order to simulate the user’s electricity consumption behavior under the dynamic electricity pricing mechanism. The real data of a region in the United States is imported into the model, and the error between the predicted results and the actual results is not large, which verifies the feasibility and authenticity of the model.  
      关键词:real-time electricity price;demand response;regression model;user response behavior   
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      更新时间:2025-03-26
    • Microscopic Displacement Image Classification Based on Deep Learning

      WANG Man-long, HE Xiao-hai, GONG Jian, TENG Qi-zhi
      Vol. 6, Issue 16, Pages: 14-20(2023) DOI: 10.3969/j.issn.2096-6091.2023.16.003
      摘要:The microscopic displacement experiment is an essential techniques for studying and analyzing displacement mechanisms. To investigate the efficiency, coverage area, and variations of different displacement agents, accurate analysis is required. The current method of extracting displacement agents relies on manual interaction through color threshold segmentation, which is both labor-intensive and yields imprecise classification results. Addressing these issues, this paper proposes a displacement agent classification algorithm based on deep learning. The core architecture of the proposed model is UNet++, which integrates features from different hierarchical levels. At the end of the encoding phase, a spatial pyramid structure is embedded, and an attention mechanism is introduced to prevent the loss of pixel-level information, thus enhancing the accuracy of feature extraction. Experimental results on multiple sets of images demonstrate that the proposed method achieves excellent classification performance.  
      关键词:microscopic displacement experiment;displacement agents;image classification;Deep learning;UNet++   
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      更新时间:2025-03-26
    • Topology Optimization of Wave-Proof Channel Based on Genetic Algorithm

      CHEN Hao-yu, WANG Lin-ge, CHEN Ming-song
      Vol. 6, Issue 16, Pages: 21-25(2023) DOI: 10.3969/j.issn.2096-6091.2023.16.004
      摘要:In order to solve the problem of wave protection structure design in the field of ocean engineering, this paper proposes a topology optimization design method based on genetic algorithm by using the principle of Bragg resonance caused by the coherence of the same transverse modes in artificial periodic structures. Firstly, we realize the finite element numerical solution of the displacement field of the surface water waves in the wave proof channel; then we mesh the channel structure and use the corresponding structural matrix to represent it, and at the same time, we construct a structural optimization model of the wave proof channel with the transmittance spectrum as the feature, and we introduce the purpose of material minimization; finally, we use genetic algorithms to search for optimization on the structural matrix that represents the channel geometry, and we realize the topology optimization of the periodical structure. Finally, a genetic algorithm is used to optimize the structure matrix representing the channel geometry to realize the topology of the periodic structure, and the corresponding wave proof channel structure can be automatically optimized and generated according to the demand of wave dissipation frequency of the engineering target. The proposed topology optimization scheme provides different ideas for the design of the wave proof channel and improves the design efficiency.  
      关键词:surface water wave;periodic structure;topology optimization;wave proof channel;bragg resonance   
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      更新时间:2025-03-26

      CORRESPONDENCE

    • YANG Shi-quan, HE Wen-chang, YANG Shi-yuan, LI Liang, ZHANG An-bin
      Vol. 6, Issue 16, Pages: 26-29(2023) DOI: 10.3969/j.issn.2096-6091.2023.16.005
      摘要:In accordance with the high-quality requirements of the country for lightning protection and disaster reduction, the lightning protection center in Bazhong City has a large number of customers for lightning protection testing, and the distribution of testing time is scattered. It is inevitable that there will be omissions and errors in testing time through manual daily verification. At the same time, the customer also has a demand for the reminder function of testing cycle expiration. In response to the above issues, combined with WeChat, which is commonly used in daily work, we use trigger technology and adopt a dual threaded architecture to develop a WeChat mini program with lightning protection detection customer expiration automatic reminder function. This mini program enables administrators to manage detection reminder tasks and receive all reminders. Customers can receive detection reminders in advance and prepare for inspection. This mini program can improve the efficiency of lightning protection detection work, optimize customer service quality, and is of great significance for the lightning protection and disaster reduction industry. At the same time, it provides reference for the development of related applications in the domestic lightning protection and disaster reduction industry.  
      关键词:WeChat Applet;lightning protection detection;reminder function;customer service   
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      更新时间:2025-03-26
    • YANG Tian-le, CHEN Ying, WANG Hai-tao
      Vol. 6, Issue 16, Pages: 30-36(2023) DOI: 10.3969/j.issn.2096-6091.2023.16.006
      摘要:DNS (Domain Name System) is a fundamental component of the internet. However, due to its distributed and caching nature, DNS is vulnerable to various attacks, especially cache poisoning. While the use of random port numbers and transaction IDs has reduced the likelihood of cache poisoning, recent developments such as DNS Forwarder fragmentation and side-channel attacks have increased the risk. To address these emerging cache poisoning techniques, this paper introduces the 3C (Cache Consistency Checking) method. It assesses whether DNS cache and authoritative query results align, detecting cache poisoning and subsequently switching to a disaster recovery resolution system for resolution. To enhance comparison speed and DNS query efficiency, and to isolate the impact of cache poisoning on the disaster recovery resolution system, the paper employs a local top-level domain authoritative mirror query system. Experimental results demonstrate the accuracy of the 3C method in detecting cache poisoning, while the local authoritative mirror query system significantly enhances 3C’s comparative efficiency. Compared to traditional DNS, the integration of the 3C method and the local top-level mirror system results in faster DNS queries, thereby improving DNS performance and security.  
      关键词:domain name system;cache poisoning;cache consistency checking;disaster recovery resolution;fragmentation attack   
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    • LIU Gang, PENG Yong, ZHU Feng, HUANG Yun-tao, YUN Chen, SUN Ji-zhou
      Vol. 6, Issue 16, Pages: 37-42(2023) DOI: 10.3969/j.issn.2096-6091.2023.16.007
      摘要:This article uses information technology such as RFID (Radio Frequency IDentification), computer network, and system software to comprehensively manage the tobacco blending and feeding process of redrying enterprises, reducing the mixing ratio deviation caused by human errors in tobacco grade and imbalanced feeding speed. A digital management system for tobacco blending and feeding is built, which integrates data collection, LED (Light Emitting Diode) publishing, tracking alarm, and statistical analysis. To achieve the goal of real-time monitoring, correction, and feedback for the feeding level, blade laying frequency, and single blade laying quantity of each feeding station within each feeding batch. Continuously improve the homogenization processing level of redrying enterprises.  
      关键词:RFID;Threshing and redrying;Tobacco leaf ratio;Digital management   
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