Journal of Intelligent & Fuzzy Systems - Volume 39, issue 6

Authors: Bo, Yang | Chunli, Wang

Article Type: Research Article

Abstract: Under the influence of the COVID-19, the analysis of physical health data is helpful to grasp the physical condition in time and promote the level of prevention and control of the epidemic. Especially for novel corona virus asymptomatic infections, the initial analysis of physical health data can help to detect the possibility of virus infection to some extent. The digital information system of traditional hospitals and other medical institutions is not perfect. For a large number of health data generated by smart medical technology, there is a lack of an effective storage, management, query and analysis platform. Especially, it lacks …the ability of mining valuable information from big data. Aiming at the above problems, the idea of combining Struts 2 and Hadoop in the system architecture of the platform is proposed in this paper. Data mining association algorithm is adopted and improved based on MapReduce. A service platform for college students’ physical health is designed to solve the storage, processing and mining of health big data. The experiment result shows that the system can effectively complete the processing and analysis of the big data of College students’ physical health, which has a certain reference value for college students’ physical health monitoring during the COVID-19 epidemic. Show more

Keywords: Physical health data, parallel processing, health monitoring, multi calculation big data, COVID-19

DOI: 10.3233/JIFS-189274

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8775-8782, 2020

Authors: Yong, Chang | Lu, Yun

Article Type: Research Article

Abstract: Under the influence of COVID-19, the efficiency of e-commerce distribution in public health emergencies has become the key to ensuring people’s normal lives. With the development of e-commerce, the location of distribution center is becoming more and more important, which is related to the healthy and long-term development of e-commerce. However, the traditional location efficiency is low, which cannot play an immediate role in the development of e-commerce. This paper combines weiszfeld algorithm, improves particle swarm optimization algorithm, improves the operation efficiency and location accuracy, and finally gets a relatively satisfactory result. Results data analysis shows that the improvement and …integration of the algorithm is reasonable and effective. This method has important reference value for e-commerce location. Show more

Keywords: E-commerce, center location, particle swarm optimization, Weiszfeld algorithm, COVID-19

DOI: 10.3233/JIFS-189275

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8783-8793, 2020

Authors: Huang, Gongxiang | Qu, Huimin

Article Type: Research Article

Abstract: The influence of COVID-19 causes a certain impact on data visualization and data fusion on the visual performance of illustration. Based on the development of illustration, this paper discusses the relationship between illustration, text information and media. This paper studies the feasibility of the combination of illustration and information visualization. In this paper, the interactive image segmentation and gridding methods are proposed. Then, the background theory and significance of flow field design are described, and the flow field generation method based on heat source diffusion is proposed. In this paper, the shadow of the topology of the convective field through …the interaction input of the flow field design is analyzed, and then compared with the related work. In the visualization of flow field, based on the weighted distance field formed by the diffusion of heat source, a visualization method of stratified flow field line is proposed. Finally, the visualization method of stratified flow field is explained and its effect is demonstrated. Experimental data show that the information visualization method proposed in this paper can improve the efficiency and accuracy of illustration information extraction. Show more

Keywords: Illustration, media, information visualization, weighted distance field, COVID-19

DOI: 10.3233/JIFS-189276

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8795-8803, 2020

Authors: He, Zhihui | Li, Xiaofeng

Article Type: Research Article

Abstract: During the COVID-19 epidemic period, it is essential to strengthen physical exercise and improve the health of the whole people. In this paper, based on genetic algorithm, a fuzzy control system is proposed to dynamically adjust the exercise ability of the bodybuilders under the comprehensive consideration of parameters. Through experiments and data processing, the system obtains bioelectric information related to heart rate, heart rate variability and muscle fatigue of the fitness people in the three states of not fatigue, moderate fatigue and extreme fatigue, establishes fuzzy membership function, and thus establishes personalized fitness information feedback control strategy to maintain moderate …fitness intensity. By narrowing the gap between the predicted RPE value based on objective information and the measured RPE, the method provides a unified subjective and objective exercise intensity for the bodybuilders, effectively expands the time of aerobic exercise, and enhances the effect of aerobic exercise. In addition, in order to expand the scope of application of the exercise intensity control model, the service-oriented transformation is carried out to enable it to provide fitness content combinations of interest to fitness practitioners and instructors. Show more

Keywords: Fitness service technology, genetic algorithm, COVID-19

DOI: 10.3233/JIFS-189277

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8805-8812, 2020

Authors: Guo, Chen

Article Type: Research Article

Abstract: In rural construction, affected by covid-19, it leads to the collection and demand survey of basic information data of relevant interest groups. The specific situation of the transformation of ancient villages is also gradually increasing. However, due to the complexity of rural space, the dispersion of settlement space and the diversity of information demand of rural planning work, the data coverage is large, information acquisition is difficult, the use effect of data collection is not ideal, and there is no planning feedback mechanism. However, during the epidemic period, the staff could not carry out a series of reconstruction of ancient …villages. At present, the data of village planning and construction and architectural design are complex, the needs of relevant interest groups are diversified, and regional planning is difficult. In this paper, the big data function is applied to the reconstruction of ancient villages in the epidemic period of covid-19. Show more

Keywords: Reconstruction of ancient villages, big data, regional co-ordination, rural architecture design, COVID-19

DOI: 10.3233/JIFS-189278

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8813-8821, 2020

Authors: Li, Jiafeng | Hu, Hui | Li, Xiang | Jin, Qian | Huang, Tianhao

Article Type: Research Article

Abstract: Under the influence of COVID-19, the economic benefits of shale gas development are greatly affected. With the large-scale development and utilization of shale gas in China, it is increasingly important to assess the economic impact of shale gas development. Therefore, this paper proposes a method for predicting the production of shale gas reservoirs, and uses back propagation (BP) neural network to nonlinearly fit reservoir reconstruction data to obtain shale gas well production forecasting models. Experiments show that compared with the traditional BP neural network, the proposed method can effectively improve the accuracy and stability of the prediction. There is a …nonlinear correlation between reservoir reconstruction data and gas well production, which does not apply to traditional linear prediction methods Show more

Keywords: Back propagation neural network, shale gas exploitation, economic benefit, COVID-19

DOI: 10.3233/JIFS-189279

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8823-8830, 2020

Authors: Wang, Bin | Zhou, Qingyuan

Article Type: Research Article

Abstract: The global economy appears the trend of anti-globalization under the influence of COVID-19. Based on the input-output table of lead database from 2006 to 2020, this paper divides the factors that affect the development of financial industry in China, the United States and Russia into six aspects: price, intermediate input, household consumption, government consumption, export and import. ADGA-BP neural network model is proposed in this paper, which is based on six aspects of price, intermediate input, consumer, government consumption, export and import. The intermediate input is decomposed from the perspective of industrial structure to study the interrelationship between financial industry …and other industries in the three countries. The results show that the intermediate input is the main factor in the development of financial industry in the three countries, but the source industries of the intermediate input are not the same; the two factors of household consumption and price are closely related to the development of financial industry in the three countries, and they all play a role in promoting China, while the relationship between household consumption and the United States and between price and Russia is reverse; Government consumption only has a significant impact on Russia; from the perspective of mutual influence, the mutual investment between the financial industry of China and the United States is relatively large, while the relationship between the Russian financial industry and the two countries is relatively weak. It shows that under the background of covid-19, the development of financial industry is affected. Show more

Keywords: Adaptive genetic algorithm, BP neural network, COVID-19, financial industry

DOI: 10.3233/JIFS-189280

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8831-8838, 2020

Authors: Li, Yongkang

Article Type: Research Article

Abstract: In post COVID-19 era, labor education plays an indispensable part in China’s digital economy, while the digital economy will redefine the labor education at the same time. From the Marxist theory, latest data and survey results, we portray the logic relationships, mutual impacts between digital economy and labor education. Our research indicates that free development of all human beings is the common value shared by the digital economy and labor education. Labor education can cultivate the abilities of competition and cooperation, form the proper digital economy values meanwhile, which is essential to hedge the negative impacts of digital economy on …labor and employment. Labor education comprehensively promotes the digital labor abilities of all laborers in the path with Chinese characteristics. The boom in digital economy and the refocusing on labor education will enable China to cope with the rising risks and challenges in a more diversified and flexible way among this highly uncertain world. Show more

Keywords: Digital economy, labor education, COVID-19, neural network

DOI: 10.3233/JIFS-189281

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8839-8845, 2020

Authors: Fengwei, Ai, | Nan, Wang,

Article Type: Research Article

Abstract: At present, the normal teaching is seriously disturbed by the epidemic situation. In order to ensure the smooth progress of teaching, online teaching is a necessary way. Based on the current situation, this paper discusses the integration of urban and rural planning and human geography teaching in university courses. Based on the full analysis of the advantages of the original curriculum, this paper adjusts the curriculum of urban and rural planning and human geography. The new system focuses on the characteristics of “broad foundation and clear main line”, and follows the three main lines of “art, design and geography” to …optimize the design. A questionnaire survey was conducted among 200 online students in our school and the data were processed by multidimensional BP neural network analysis. The experimental results show that the method proposed in this paper can improve the efficiency of online teaching. Show more

Keywords: Epidemic situation, urban and rural planning and human geography, teaching integration, Information method of online education

DOI: 10.3233/JIFS-189282

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8847-8855, 2020

Authors: Dafei, Wu, | Qinghong, Pan,

Article Type: Research Article

Abstract: In order to strengthen the management and control of personnel flow and the timeliness of information dissemination during the COVID-19 epidemic, it is necessary to improve the reliability of authority and content management. The extensive application of authority information management can closely connect the professional system with the production activities of enterprises. At present, the traditional authority management level is complex, and the management of complex data is chaotic. This paper is based on ASP.NET. This paper proposes a data authority management method. The main function of this method is to establish a standard three-tier structure of rights management level …by using the open-source string template engine technology, tag analysis, SEO search engine optimization technology and information collection technology. This method provides a general process oriented and automatic management platform for users through the hierarchical management mechanism. This technology can meet people’s rights and content requirements for creating, publishing and updating websites without understanding the technology itself. The experimental results show that the rapid management mechanism based on authority management can accurately handle and manage authority and data which can improve the accuracy and timeliness of personnel flow control under the impact of the COVID-19 epidemic. Show more

Keywords: ASP.NET, permission management system, COVID-19 epidemic, string template, hierarchical management mechanism

DOI: 10.3233/JIFS-189283

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8857-8866, 2020