Journal of Computational Methods in Sciences and Engineering - Volume 24, issue 2

Authors: Ke, Qingpai | Dong, Di | Liu, Tong | Xiong, Shibin | Jiang, Wei | Shi, Xuntao | Lou, Rongbo

Article Type: Research Article

Abstract: As the renewable energy integrates in the power system, the interactions between source, load, and storage equipment in the distribution network become frequent. The original distribution network could not meet the growing demand of the power grid. The use of controlled power electronic devices for flexible interconnection transformation of the distribution network could help improve the controllability, reliability, and safety of the power system and promote the consumption of distributed power sources. It is an important means of evolving towards future intelligent distribution networks. Typical devices for flexible interconnection are discussed of the operating characteristics. In addition, the core technologies …of flexible interconnected distribution network system are introduced from the view of point of dispatching. Finally, to achieve a wider application of flexible interconnected distribution networks, the development trend is prospected. Show more

Keywords: Energy router, flexible interconnected distribution network system, operation scheduling, soft open point, power electronic transformer

DOI: 10.3233/JCM-247297

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 921-933, 2024

Authors: Dou, Zhenlan | Zhang, Chunyan | Duan, Chuanxu | Wen, Xuan | Sun, Chen

Article Type: Research Article

Abstract: A novel multi-stage time scale economic dispatch scheme is proposed for virtual power plants, taking into account the uncertainties arising from the connection of distribution network sources. This research introduces specific scheduling schemes tailored to various time scales within distribution networks, including a fuzzy optimized day ahead scheduling scheme, an intra-day scheduling scheme combined with Deep Q Network, and an adaptive optimized real-time scheduling scheme. This plan mainly considers the impact of photovoltaic output and conducts scheduling one day in advance through fuzzy optimization. In the intraday scheduling, different strategies were adopted in the study. By combining with Deep Q …Network, research on scheduling for intraday demand within the power system. The analysis is conducted through rigorous modeling. Experimental tests were conducted to evaluate the performance of the proposed schemes. The day ahead dispatching primarily considers the impact of photovoltaic output and calculates the cost associated with each link in the grid under three different meteorological conditions. In the intra-day scheduling, the total costs for Scenario 1, Scenario 2, and Scenario 3 are found to be 34,724.5 yuan, 36,296.5 yuan, and 33,275.8 yuan, respectively. Notably, strategies 1 and 2 demonstrate lower costs compared to the pre-day scheduling, with the exception of Scenario 3. In real-time scheduling, considering the matching between sources and sources, the matching rate between sources and sources can be maintained at over 95%, and the stability and cost of the power grid have significantly decreased. In summary, by proposing a multi-stage time scale economic scheduling scheme, this study fully considers the uncertainty of the power supply of the distribution network access, as well as the different needs of day, day and real-time scheduling, providing an effective solution for the power dispatching of virtual power plants and providing important technical support for the reliability and economy of the power system. Show more

Keywords: Multi-time scale, grid dispatching, virtual power plant, DQN, fuzzy optimization, adaptive optimization

DOI: 10.3233/JCM-247299

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 935-953, 2024

Authors: Che, Kai | Yang, Peng | Gong, Yunqian | Chen, Chuanmin | Liu, Songtao | Li, Ni | Lin, Shanshan

Article Type: Research Article

Abstract: In recent years, wireless charging technology for electric vehicles has gained significant attention. To accurately analyze the distribution characteristics of the electromagnetic field during the wireless charging process of electric vehicles, a finite element-based electromagnetic analysis method was employed. Applied in the commercial simulation software, the electromagnetic environment of the resonant coil and electric vehicle model was simulated under high-power charging conditions, resulting in an overall electromagnetic field distribution for the electric vehicle. The results indicated that within the coil region, the magnetic induction intensity in the central area of the coil was zero, and it increased as the distance …from the center of the coil grew. Outside the coil region, the magnetic induction intensity gradually decreased. The electric field intensity of the resonant coil was maximum in the central area of the coil, and it weakened as the distance from the center of the coil increased. When a magnetic shielding resonant coil was used, the electromagnetic field was confined between the shielding materials, and the magnetic field rapidly attenuated on both sides of the magnetic shield. The electromagnetic field energy of the electric vehicle body was mainly concentrated at the bottom of the vehicle near the coil. When the coil was located in the front of the car body, the maximum electric field intensity distribution in the car body was 8.50 V/m, and the maximum magnetic induction intensity was 0.024 μ T. When the coil was located in the middle of the car body, the maximum electric field intensity was 2.31 V/m, the maximum magnetic induction intensity was 0.019 μ T. As the distance from the coil position increased, the energy weakened. Show more

Keywords: Wireless charging system, resonant coil, finite element simulation, electromagnetic field distribution

DOI: 10.3233/JCM-247302

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 955-973, 2024

Authors: Zhu, Yansha | Qin, Jiansen

Article Type: Research Article

Abstract: With the rapid development of information technology, the Internet of Things (IoT) and big data have gradually become the core tools of modern enterprise management and decision-making. This study explores the application and potential value of IoT and big data in the field of enterprise assets and accounting. Through strategic questionnaire design and multi-channel data collection, a corresponding data model is constructed, and the effectiveness of the model is further verified. The results show that these technologies can not only improve the management efficiency of enterprises, but also provide more accurate and timely data support for corporate decision-making. However, in …practical applications, enterprises also need to face data integrity, technology updates, and a host of other challenges. This study not only provides enterprises with an opportunity to gain an in-depth understanding of these technologies, but also provides valuable implications for future research and applications. Show more

Keywords: Internet of Things, big data, enterprise asset management, accounting

DOI: 10.3233/JCM-247304

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 975-989, 2024

Authors: Qin, Jiansen | Zhu, Yansha

Article Type: Research Article

Abstract: With the rapid development of information technology, Internet of Things technology has become a hot topic in today’s society. This study aims to explore how IoT technology impacts various aspects of financial management, in particular how it changes the collection, processing, and parsing of financial data. Through in-depth literature review, questionnaire survey and experimental design, the research found that IoT technology has a significant positive effect on sales, transaction times and inventory control. But at the same time, data security, privacy concerns and initial technology investment are also challenges that enterprises need to consider when adopting these technologies. Overall, IoT …technology offers tremendous opportunities for financial management, but businesses must fully assess the potential risks and benefits when implementing it. Show more

Keywords: Internet of Things technology, financial management, data analysis, technology input, data security

DOI: 10.3233/JCM-247306

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 991-1008, 2024

Authors: Huang, Xiumei | Jiang, Dewei | Zhu, Kexin

Article Type: Research Article

Abstract: The analysis of the multi-scale evaluation of port city’s international trade goal is conducive to the sustainable development of port city’s international trade. In order to make a more in-depth study on the realization ability of port city’s international trade sustainable development goal, this paper proposes a new multi-scale evaluation method of port city’s international trade goal. This method selects the evaluation indexes, uses the improved normalization method to process the indexes, uses the combination of AHP and factor analysis method to form the subjective and objective combination weighting method, brings the processed indexes into the least square optimization combination …evaluation model, calculates the index weight, and uses the fuzzy evaluation method to carry out multi-scale index evaluation on the international trade of port cities to realize its multi-scale evaluation and analysis. The results show that the standardized index of Shanghai’s foreign trade dependence is 0.0056, indicating its independence in international trade. In the comprehensive evaluation, the evaluation values of Shanghai, Tianjin, and Guangzhou are 92.56, 87.89, and 88.45, respectively, which are very close to the actual results, which shows that the accuracy of the evaluation method is high, and provides a theoretical basis for the sustainable development of international trade in port cities. Show more

Keywords: Port city, international trade target, AHP, factor analysis method, fuzzy evaluation method and multi-scale indicator evaluation

DOI: 10.3233/JCM-247288

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 1009-1023, 2024

Authors: Zhao, Xiaojuan

Article Type: Research Article

Abstract: In the context of the wide application of big data technology, it is particularly important to optimize the allocation of teaching methods and learning resources. This study first expounds the key role of big data in the optimization of teaching methods and the allocation of learning resources, and emphasizes how big data technology promotes the transformation and development of education and teaching models. Based on the analysis of traditional models of teaching method optimization and learning resource allocation, this study proposes a new model driven by big data. By accurately identifying students’ learning needs and behavior patterns, the model optimizes …teaching methods and allocation of learning resources. This study introduces the whole process of data collection, cleaning, analysis and modeling. In the process, it shows how big data can be integrated, analyzed, and applied to further support the construction and validation of models. Through empirical research and effect evaluation, this study proves the validity of the model of teaching method optimization and learning resource allocation driven by big data, and demonstrates how big data can promote educational equity and improve educational quality. Show more

Keywords: Big data, teaching method optimization, learning resource allocation, data-driven model

DOI: 10.3233/JCM-247277

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 1025-1040, 2024

Authors: He, Panpan | Wang, Jingjing

Article Type: Research Article

Abstract: With the rapid development of big data and cloud computing, the field of physical education has begun to actively explore the application of these new technologies. Big data can collect and analyze a large amount of teaching information, help understand students’ learning needs and preferences, optimize resource allocation, and improve teaching efficiency. Cloud computing can realize the online and personalized teaching resources and services, providing convenient and rich learning experience. This study first analyzes the role and influence of big data and cloud computing in the optimization of physical education teaching resources and service mode, and then verifies the actual …effects of these technologies through empirical research, analyzes the existing problems and potential challenges, and puts forward corresponding solutions and suggestions. The results show that big data and cloud computing help to improve the efficiency and user satisfaction of physical education, and have important value in promoting the modernization of physical education. Show more

Keywords: Big data, cloud computing, physical education teaching, resource optimization, service model

DOI: 10.3233/JCM-247279

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 1041-1056, 2024

Authors: Zhang, Ke

Article Type: Research Article

Abstract: To improve the application of behavior detection technology in college education, the study proposes a new model built on deep CNN, which is used for student behavior detection and analysis in college labor education courses. The study first analyzed the target detection algorithm, and optimized the selected You Only Look Once version 5 (YOLOv5) algorithm and its network structure with a series of improvements, and based on this, embedded the attention module into the algorithm structure to finally obtain a new model, namely YOLOv5-O. After a series of experiments, YOLOv5-O reached an average accuracy of 90.1% on the test set, …while the application test in the actual teaching environment showed that its average accuracy was 86.7%. This result is obviously superior to the existing technology, which proves the validity of the study and provides strong data support for the automatic detection of student behavior. In addition, in the teaching experiment, YOLOv5-O assisted teaching achieved the most significant teaching effect, and students’ achievement improved the most. The feasibility of this method is verified. Show more

Keywords: Behavior detection, college education, deep convolutional neural network, target detection algorithm, YOLOv5, attention module

DOI: 10.3233/JCM-247308

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 1057-1069, 2024

Authors: Wang, Qin | Zhang, Feng

Article Type: Research Article

Abstract: From four dimensions of resource, environment, ecology (green ecology) and social economy, correlation analysis method and principal component analysis method of SPSS are used to screen evaluation indexes to design a scientific and reasonable evaluation indexes system of resource and environmental carrying capacity in Xiong’an New Area in line with regional characteristics. Based on fuzzy comprehensive evaluation method, resource and environmental carrying capacity of the New Area are evaluated. The results show that: the resource and environmental carrying capacity of the New Area from 2014 to 2018 are 0.3229, 0.3556, 0.3521, 0.3859 and 0.4445 respectively, with an average annual growth …rate of 8.32% and a steady growth trend. Then, some countermeasures to improve resource and environmental carrying capacity of the New Area are presented from three aspects of development and utilization of land resource, development and utilization of water resource and protection and utilization of water environment. Show more

Keywords: Xiong’an New Area, resource and environmental carrying capacity, correlation analysis, principal component analysis, fuzzy comprehensive evaluation method, entropy method

DOI: 10.3233/JCM-247311

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 24, no. 2, pp. 1071-1084, 2024