Journal of Computational Methods in Sciences and Engineering - Volume 23, issue 1

Authors: Zhang, Yuanlin

Article Type: Research Article

Abstract: Signal processing can complete the processing of various types of signals to obtain key data. Signal processing can also filter out redundant noise signals and ensure the quality of source signals. Due to the various functions of signal processing technology, it is widely used in network security, especially in IT asset detection and other aspects. Cyberspace is a general concept, which represents all devices associated with network connections. Detecting network assets in cyberspace means finding all networked devices. The detection of IT assets for power grid enterprises can help power grid enterprise IT administrators understand enterprise IT assets. At the …same time, it can also discover the security loopholes existing in the operation of the current enterprise IT assets, and use the detection results to fix the loopholes as soon as possible to prevent the occurrence of network security incidents. This paper firstly sorts out the concepts of signal processing, cyberspace and power grid IT assets, then combines CNN and signal processing technology to design an intelligent detection strategy for power grid IT assets, and compares the designed strategy with the efficiency and other indicators of traditional detection methods. In contrast, finally, a cyberspace-based IT asset intelligent detection strategy was designed, and a power grid enterprise IT asset intelligent detection system was designed. Through the deployment strategy test environment, a test case was written in Python language, and the cyberspace-based IT asset intelligent detection was found. Compared with the traditional power grid enterprise IT asset detection scheme, the strategy has better performance in all aspects. The research adopts the method of modeling and analysis to calculate the signal values of the IT assets involved as much as possible, thereby greatly reducing the possible errors in the evaluation of enterprise IT assets. The test of the results obtained by the formula shows that the IT asset detection combined with the cyberspace search method shows superiority in different indicators. Show more

Keywords: Signal processing, cyberspace, power grid enterprises, IT asset detection

DOI: 10.3233/JCM-226552

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 423-432, 2023

Authors: Hou, Jie | Chen, Yiping

Article Type: Research Article

Abstract: During the reform of the deep teaching model, students’ deep learning quality was affected and restricted by various factors. During the offline class learning process of students, the concentration of deep learning directly affects the quality of learning. This article analyzes the study focus of students in deep learning models, conducts research on the quality of class offline learning of different students, quantifies the factors that affect students’ deep learning, and builds an analysis model for quantitative comparison. Important influence factor affecting students’ offline classroom concentration, through targeted measures, improve teaching methods and quality, optimize classroom teaching models, use various …methods and measures to effectively improve learning focus, and further promote the reform of teaching models. The level of concentration of students’ learning has been steadily improved, and the model of deep learning is proposed to help the teaching model reform. Show more

Keywords: Deep learning, offline learning, classroom concentration, identification, measures

DOI: 10.3233/JCM226575

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 433-443, 2023

Authors: Xu, Xuhui | Chen, Cheng | Wei, Enwei | Wang, Zhenhua | Pei, Huikun

Article Type: Research Article

Abstract: This paper studies the feasibility of intelligent power design mode, and proves that the intelligent power design mode has significant advantages over the traditional mode by using the method of comparative study. Comparative studies are more distinctive in the breadth and depth of content. With the further acceleration of the urbanization process and the popularization of electronic equipment, people’s demand for electricity is gradually increasing. The overall operation of the transmission line is actually highly related to the design mode of the line. The quality of electrical design will be closely related to people’s electricity consumption. The stability of the …electrical design is directly linked to the sustainability, and it will also be linked to the reputation of the power design company and the safety of public life. The use of a variety of new technologies in the electrical design process to guide the design scheme and identify design problems as soon as possible is the latest trend in the electrical design of current transmission lines. In the context of the rapid development of data science, the functions of comprehensive sorting and providing suggestions provided by big data technology have become the mainstream choice for solving problems in various industries. At present, big data technology has begun to be associated with the power industry, and big data technology has been applied to transmission lines. Electrical design can also solve various dilemmas that exist in current design. Artificial intelligence technology enables computers to have the ability to think like ordinary people through algorithms and training data. Applying artificial intelligence technology to electrical design of transmission lines can make scheme design more intelligent. In order to analyze the current status of electrical design of transmission lines, this paper conducts a questionnaire survey on professionals and practitioners of electrical design of transmission lines. Through a detailed analysis of the questionnaire data, it is found that the electrical design of current transmission lines mainly includes unreasonable line path arrangement, line support towers unreasonable models and insufficient consideration in safety protection design, and combined with big data and artificial intelligence technology, the intelligent arrangement of line paths, tower-shaped intelligent matching and intelligent safety protection strategies are designed. The respondents of the questionnaire conducted a second survey and found that the efficiency, cost, intelligence, sustainability and safety of the electrical design of transmission lines were improved after combining big data and artificial intelligence technology. The intelligent circuit design scheme constructed by big data and artificial intelligence technology can improve the quality of circuit transportation, solve the problems of unreasonable route layout, unreasonable line support tower type and insufficient consideration of safety protection design. Intelligent circuit design scheme compared to the traditional circuit design scheme in the design efficiency, cost, sustainability is significantly improved. Show more

Keywords: Big data, artificial intelligence, transmission line, electrical design

DOI: 10.3233/JCM-226570

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 445-455, 2023

Authors: Zhang, Qihang | Jiang, Jie

Article Type: Research Article

Abstract: In the context of big data and the Internet of Things, this article explores the impact of corporate patent quality on corporate performance through analysis of corporate patent quality. Starting from multiple influencing factors, measure the patent value of enterprises to promote the economic benefits. Focus on the analysis of the practical conversion capacity of patents and the impact on corporate performance, establish a mathematical evaluation model, and explore the specificity of the patent quality through the method of regression analysis. This article has studied the important role of patent technology to improve the efficiency of enterprises, and explores the …overall level of corporate performance management on how to maximizes the overall level of corporate performance management. The system of measures for patent technology to promote performance development under the background of big data constructed by the research has a very good reference for the sustainable development of enterprises at the current stage. From the existing research results, there are problems such as too few analysis samples and slow data updates, and these problems have been better solved in this study. The research analyzes the comprehensive impact of patent quality on enterprises through big data, highlights the positive relationship between patent quality and enterprise performance, and effectively fills the gap in current research. Show more

Keywords: Big data, Internet of Things, patent quality, corporate performance, regression analysis, impact research, measures

DOI: 10.3233/JCM-226565

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 457-467, 2023

Authors: Zhang, Yang

Article Type: Research Article

Abstract: With the development of the world consumption economy, the demand of the society on the production efficiency of the workshop is increasing. In order to improve the production efficiency of the industrial robot automatic production line, the working mathematical model of the industrial robot automatic production line is built, and the improved genetic algorithm is used to optimize the layout of the industrial robot automatic production line. The simulation results show that, compared with the selected design method based on a standardized production line and the optimization method based on genetic algorithm, the layout production scheme output by the improved …genetic algorithm has higher space utilization efficiency, shorter material handling distance in the workshop, and better overall layout effect. When the experimental time is 14 units, the space utilization rate of the output solution of the improved genetic algorithm is 94%, and the index of the other methods is lower than 70%. Moreover, the material handling distance of the former is the closest to the straight line, and the zoning planning of production equipment and materials is the most reasonable. The experimental data show that the layout optimization method of industrial robot automatic production line based on improved genetic algorithm can effectively improve the planning quality of the production line and improve the production efficiency. Show more

Keywords: Genetic algorithm, industrial robot, production line layout, availability model, fitness model, task assignment

DOI: 10.3233/JCM-226557

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 469-484, 2023

Authors: Wang, Hong

Article Type: Research Article

Abstract: Taking 20 innovation and entrepreneurship bases (college students’ start-ups) in Liaoning Province as the research object, an evaluation indicator system of the operating efficiency of the innovation ecosystem of college students’ start-ups was constructed. The innovation incubation ability and the operating efficiency of the innovation ecosystem of these bases were evaluated using the three-stage DEA model, and the factors affecting the operating efficiency were analyzed. Then, the effects of five environment variables (including the per capita GDP, the business volume of telecommunications service, the number of graduates, the local financial expenditure on science and technology, and the Internet penetration rate, …as the explanatory variables) on the operating efficiency of the innovation ecosystem of college students’ start-ups were studied by using efficiency values excluding environment variables and random factors as the explained variables, and five environment variables as the explanatory variables. Show more

Keywords: Three-stage DEA model, college students’ start-ups, innovation ecosystem, efficiency evaluation, DEA

DOI: 10.3233/JCM-226550

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 485-498, 2023

Authors: Sun, Teng | Wang, Weidong | Wen, Xuan

Article Type: Research Article

Abstract: In order to improve the economy of the multi energy system and the efficiency of energy utilization, the research adopts the non dominated sorting genetic algorithms II (NSGA-II) to expand the population space. The elite strategy is introduced to improve the intelligent algorithm, and then the diversity of the population is retained to improve the optimization accuracy of the algorithm. In addition, the adaptive operator is introduced to improve the NSGA-II algorithm to improve the global search efficiency. The performance test of fast non dominated sorting genetic algorithm shows that the improved algorithm using elite strategy has better performance in …coverage index, diversity index and convergence index. For example, in terms of convergence index, the improved NSGA-II algorithm has improved 0.0159, 0.822, 0.0243 and 0.0171 in four ZDT test functions. On the energy optimization operation for the integration of wind and hydrogen, the improved NSGA-II algorithm has obtained lower cost, with a total configuration cost of 606 million yuan, while the total system configuration cost corresponding to the unimproved NSGA-II algorithm is 624 million yuan, so the total system cost after the algorithm improvement has decreased by 18 million yuan. Therefore, this method has a better economy and higher energy efficiency. Show more

Keywords: Wind energy, hydrogen energy, NSGA-II, energy optimization, elite strategy, population diversity, energy utilization efficiency, configuration cost

DOI: 10.3233/JCM-226730

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 499-511, 2023

Authors: Jing, Zhihong | Li, Yunyun

Article Type: Research Article

Abstract: This paper conducts an empirical investigation into the synergistic effects of fiscal spending and digital inclusive finance on poverty reduction. These two elements are noted as crucial linkages in the struggle against poverty. This paper employs the DEA-Malmquist index model and Tobit model analysis to assess the effectiveness of fiscal expenditure and digital inclusive finance synergy under relative poverty and the influencing factors in the central and western provinces of China using provincial panel data from 2014 to 2020. The study found that: first, the integrated effectiveness of fiscal spending and digital financial inclusion to reduce poverty is firstly higher …than it is for fiscal spending alone; second, additional fiscal spending and technology for digital financial inclusion should be allocated to the central and western areas in particular; and third, for poverty reduction in central and western China, the level of financial development, financial payment capability, and industrial structure are the most crucial factors. The following recommendations are made based on the findings of the aforementioned research: overcoming the geographical restrictions; we will improve the transfer payment system’s top-level architecture for places with extreme poverty; the design of transfer payments to communities with extreme poverty will be improved; increasing access to digital financial services; we’ll boost technical and scientific innovation in underdeveloped areas; compensate for the lack of knowledge in underdeveloped areas; we will advance digital financial inclusion’s science, technology, and accuracy to lessen poverty; the combination of fiscal and financial policies should be put into practice in accordance with the level of poverty and the state of poverty in the places that are affected by it. Show more

Keywords: Fiscal spending, digital inclusive finance, input-output analysis, relative poverty

DOI: 10.3233/JCM-226734

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 513-526, 2023

Authors: Yu, Dongmin | Duan, Chuanxu | Fan, Siyuan

Article Type: Research Article

Abstract: As a new type of energy which is developing vigorously in China, nuclear energy has been widely concerned in all aspects. The circulating water system in the nuclear power plant takes water from seawater, cools the steam engine through the condenser, and then carries waste heat from the outlet to the sea. If the temperature of the outlet is too high, it will not only cause the temperature rise near the water surface of the atmosphere and the ground layer near the shore, but also affect the ecological environment inside the ocean. In this paper, a model based on the …echo state network with variable memory length (VML-ESN) is proposed to predict outlet temperature of the nuclear power plant. It can get memory according to the different input autocorrelation characteristic length to adjust the status update equation. The simulation results show that compared with ESN, Leaky-ESN, and Twi-ESN, the proposed model has better prediction performance, with a MAPE of 3.42%. In addition, when the reservoir size is 40, the error of VML-ESN is smaller than that of other models. Show more

Keywords: Nuclear power, temperature, echo state network, prediction

DOI: 10.3233/JCM-226735

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 527-536, 2023

Authors: Xu, Yuanyuan

Article Type: Research Article

Abstract: With the improvement of the national living standard, the buyers have higher and higher requirements for the rationality and aesthetics of the spatial planning and layout of the residential area. The traditional residential space planning method is purely manual design, which is inefficient, and the design effect will be greatly affected by the designer’s work experience and personal aesthetics. Therefore, this research attempts to combine Pareto solution set and piecewise prediction idea into genetic algorithm, propose an algorithm for solving multi-objective optimization problems, and build an intelligent housing environment planning system based on this. The statistical results of simulation experiments …show that the system can output more design schemes with better overall quality than the comparison system and manual planning results, and the stability of multiple operations is higher. When the number of iterations reaches 200, the average value of Pareto optimal solution number and optimal solution quality index QPS of the former is 44 and 0.41, respectively. The expert group analyzed the design results of this method and the manual method for an actual case, and found that the results designed by this method met the requirements and the calculation efficiency was much faster than manual processing. From the simulation test data and the actual case analysis, it can be seen that the intelligent housing environment planning system designed in this study is helpful to improve the efficiency of residential space design and the stability of residential space scheme style. Show more

Keywords: Genetic algorithm, Pareto solution set, optimal solution, housing environment planning, multi-objective optimization

DOI: 10.3233/JCM-226740

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 1, pp. 537-555, 2023