卷 6 ， 期 12 ， 2023
- 摘要：The Lighthouse Network is considered to represent the highest level of intelligent manufacturing and digitization in the global manufacturing industry today. Sustainable lighthouses recognize outstanding enterprises that apply new generation information technology, promote the efficient utilization of resources and energy upstream and downstream of individual enterprises or supply chains, and promote ecological sustainable development. These enterprises have a positive reference significance for China to carry out green manufacturing driven by the new generation of information technology, with green thinking that balances resources, energy consumption, and ecology, green practices driven by the new generation of information technology, and green benefits of optimizing the entire production process.关键词：new generation information technology;sustainable lighthouse;green manufacturing;intelligence;sustainable development57|44|0更新时间：2025-03-26
- 摘要：As a technology, industrial Internet is a technical to serve the business development. With the service-oriented transformation of the whole economy, industrial Internet needs to work with the service-oriented transformation of business to enhance the enterprise competence. Based the business transformation, building the Service centered applied principles for industrial Internet,ensure that industrial Internet can really play the role of enable technology for the industry development.关键词：Service;Industrial Internet;value;commercial principles34|29|0更新时间：2025-03-26
- 摘要：With the continuous development and deepening application of information technology, the scale of information systems in various enterprises is gradually expanding, which brings more challenges and risks to traditional operation and maintenance methods. This article mainly studies the application methods of knowledge graph technology in the field of information system operation and maintenance. First, it expounds the technical characteristics and advantages of knowledge graphs, analyzes the pain points of current operation and maintenance work. Then, guided by the problem, the article designs the application methods of knowledge graphs in the field of operation and maintenance, abstracts the key hierarchical levels in the OSI model, proposes a multi-level operation and maintenance knowledge graph model and its application methods. Finally, the application direction of knowledge graphs in the field of operation and maintenance is summarized and outlooked.关键词：knowledge graph;It operation and maintenance;OSI model111|30|0更新时间：2025-03-26
- 摘要：Unmanned aerial vehicles (UAVS) have been widely used to provide enhanced information coverage and computing services for terrestrial networks. Compared with traditional ground networks, UAVs have advantages in deployment, mobility, cost, self-organization, and scalability. In recent years, with the large-scale application of UAVs in military and civilian fields, the research in the field of UAV clusters has also received extensive attention, and the task allocation among multi-UAVs has become a crucial part of the unmanned swarm research, which involves many complex calculations such as UAV cooperation, information sharing, and scheduling task. Considering the large number of Internet of things (IoT) devices with limited processing power that may not be able to handle heavy computing tasks, in this paper, a multi-UAV assisted moving edge computing system is constructed, in which several UAVs serve as edge nodes to provide computing services for ground equipment with limited computing capacity. In order to balance the computational benefits of UAVs, a multi-UAVs task allocation method based on auction algorithm is proposed. Firstly, a task computational unloading problem model is constructed, and then the auction algorithm is used to solve the problem. On this basis, we can ensure the resource constraints of UAVs and meet users' task unloading requirements, while achieving the balance of computing income of UAVs.关键词：auction algorithm;task allocation;UAVs;edge computing;gain;resource pricing29|567|0更新时间：2025-03-26
- 摘要：The occurrence of pests and diseases has a negative impact on the quality and yield of crops, so the diagnosis and identification of diseases is very important to improve the quality and economic benefits of crop production. The aim of this study is to develop a DenseNet model based on transfer learning to realize efficient and accurate identification of various plant diseases and pests. By using the pre-training model as the basic model, a new model was constructed and two rounds of training were conducted on it. Finally, the recognition accuracy of 96% was achieved, and several plant leaf diseases and insect pests were successfully classified. This study provides a valuable reference for plant disease diagnosis and identification tasks.关键词：model;Pests and diseases;Transfer learning;DenseNet;Leaf of plant61|171|0更新时间：2025-03-26
- 摘要：With the rapid development of information construction and industrial digital transformation, the problems of information security have risen to the level of national security. This paper presents a design method of network reinforcement security product and system architecture implementation with domestic cryptographic algorithm, which based on hardware control logic. In the system architecture, the main reinforcement product unit realizes the network boundary and data security reinforcement protection with the domestic cryptographic chip and programmable chip technology, and completely gets rid of the disadvantages of the operating system and foreign technical system restrictions.关键词：autonomous and controllable;VPN;FPGA;domestic cryptographic algorithm;network reinforcement42|319|0更新时间：2025-03-26
- 摘要：Accurate and rapid diagnosis of COVID-19 (COrona VIrus Disease 2019) patients and analysis of key factors affecting the diagnosis of COVID-19 are of great significance for improving the treatment of severe COVID-19 patients. At present, there is a lack of model interpretability research in machine learning algorithms for predicting COVID-19. For this reason, this paper studies 13 machine learning algorithm models, uses hyperparameter optimization algorithm to optimize the model, combines SHAP method to enhance the interpretability of the model from the global and local levels, interpretively analyzes the influencing factors of COVID-19 disease diagnosis, and provides auxiliary decision-making basis for clinical diagnosis.关键词：interpretability;machine learning;COVID-19 (Corona Virus Disease 2019);forecast;SHAP (SHapley Additive exPlanation)50|482|0更新时间：2025-03-26
- 摘要：Under the dual pressure of the deepening lock-in effect of the low-end value chain and the bottleneck of technological innovation, the global economy has witnessed a “decentralization” phenomenon such as the disintegration of hegemony and reverse globalization. Has the new generation of information technology increased the technological distance between China and the developed countries represented by the United States? There is no clear academic conclusion. Therefore, it is clearly an interesting question to explore the impact of the new generation of information technology on technological distance in China. This paper explores the effect of next-generation information technology on technological distance through a fixed-effects model using relevant data from 2011 to 2020 for 31 provinces in China. The main conclusions are as follows: firstly, under the accelerating effect of new generation information technology and the background of core technology blockade of some developed countries, the evolution of technological distance of Chinese provinces may appear “the stronger the stronger, the weaker the weaker” “Matthew effect”; secondly, labor productivity and R&D investment have a positive impact on narrowing the technological distance; thirdly, total factor productivity, capital deepening and transportation infrastructure inhibit the expansion of technological distance.关键词：new generation of information technology;technological distance;fixed-effect model;Matthew effect52|233|0更新时间：2025-03-26
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