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

Authors: Wang, Yile | Zeng, Dashuai

Article Type: Research Article

Abstract: Based on big data, this paper studies the influence of new type of filling pneumonia on the development of sports industry. When selecting the typical economic indicators that reflect the development trend of sports industry, it is found that the data is huge according to the big industrial data, but the information that can be reflected is poor and complex. Therefore, it is necessary to process these big economic data in order to obtain the impact of new coronary pneumonia on the development of sports industry. This paper studies the feature selection algorithm of big data samples, so as to …select typical economic indicators from many economic indicators of sports industry to reflect the development trend of sports industry. A deep learning algorithm based on feature selection of big data is proposed. Firstly, a feature selection framework for big data is constructed, and then data fusion and deep learning are carried out. Experiments show that the algorithm can solve the contradiction between large data and poor information. This method has a certain forward-looking, and has a certain reference value for the information discrimination of the development trend of sports industry. Show more

Keywords: Sports industry, big data, industrial development, deep learning algorithm

DOI: 10.3233/JIFS-189284

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8867-8875, 2020

Authors: Jing, Jing

Article Type: Research Article

Abstract: The novel corona virus pneumonia has brought pressure on economic development. Large and medium-sized companies will also play a key role in the recovery of growth after the outbreak. Therefore, it is particularly important to pay attention to the impact of the epidemic on large and medium-sized companies and on the investment and financing of companies. Firstly, the structure of the network model of data analysis is designed in this paper, including the design of the network level, the selection of the number of neurons in each level, the determination of the initial weight and other related parameters. According to …the design of network structure, the evaluation model of investment and financing of listed companies is established. Python is used to preprocess the data and train the sample data. By comparing the data processed by two training methods, the optimal network classification model is selected. The experimental results show that the proposed method can improve the effectiveness of investment and financing decisions of listed companies. Show more

Keywords: COVID-19 epidemic situation, big data, investment decision, Relu function

DOI: 10.3233/JIFS-189285

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8877-8886, 2020

Authors: Yang, Shuang

Article Type: Research Article

Abstract: Under the influence of the COVID-19 epidemic situation, many countries have taken many measures to control the flow of people. The inability of people to gather makes art color measurement a problem. Color matching and coordination and color space conversion have always been the research focus of art color measurement. This paper studies a method of fuzzy intelligent reasoning in art color measurement. Based on case-based reasoning and rule-based reasoning, this method is an important self-learning and self-maintenance method in the field of artificial intelligence and expert system. On the basis of expounding the basic characteristics of color and color …space, this paper designs the process principle of case-based reasoning and the process of rule-based reasoning. In this paper, case and rule knowledge representation method, case retrieval technology and rule conflict resolution strategy are established. Based on the above strategy, the color case base is established. In addition, the rule table is established by combining color-brewer with rule reasoning and referring to color-brewer. The rule table has a certain reference value for the application of intelligent reasoning method in the field of art color measurement under the influence of COVID-19 epidemic. Show more

Keywords: Color-brewer, COVID-19 epidemic, rule-based reasoning, self-learning, color measurement

DOI: 10.3233/JIFS-189286

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8887-8895, 2020

Authors: Zhao, Gaoli | Song, Junping

Article Type: Research Article

Abstract: To build a network security system combining active defense and passive defense during covid-19, we need to break the original Castle type passive defense concept and build a reliable, controllable, flexible and active network environment to find defense points. The key is that the system should be able to actively predict and control our defenses. Any scheme cannot achieve absolute safety, only to minimize the probability of safety accidents, through various measures to assess and predict the possible points of safety accidents, and actively prevent the occurrence of accidents. In the management and construction of network security, we should realize …that network security management is a comprehensive system engineering. We should start from the three aspects of strategy, management and technology, and build a more effective and reliable network security system on the basis of traditional passive defense and active defense technology, which can better maintain big data security during covid-19. Show more

Keywords: Network security model, active defense technology, active passive defense, network security system

DOI: 10.3233/JIFS-189287

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8897-8905, 2020

Authors: Wang, Zhenpeng

Article Type: Research Article

Abstract: In the era of big data transformation, with the emergence of COVID-19, tourism has been given more social responsibilities. Tourism construction in the Yellow River Basin is an indispensable part of tourism construction in China. This paper analyzes the existing eco-tourism resources in Kaifeng City and Shandong Province, as well as the necessity and construction conditions of developing tourism. In this paper, principal component analysis is used to analyze the resource conditions, regional conditions and environmental conditions of the Yellow River tourism resources. The comprehensive evaluation model and index system of tourism resources are constructed. Big data transformation has been …realized. The purpose of this paper is to clarify the current situation and potential of tourism in the Yellow River Basin, and to provide reference for the development of tourism in the Yellow River Basin during COVID-19. Show more

Keywords: PCA, tourist resources, yellow river basin, comprehensive evaluation

DOI: 10.3233/JIFS-189288

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8907-8915, 2020

Authors: Zheng, Bing | Zhang, Xiaoying | Yun, Dawei

Article Type: Research Article

Abstract: By comparing several cloud computing of big data network center during COVID-19, this paper proposes a new topology model, which realizes two functions of cloud computing big data center caching and big data real-time distribution. In addition, cloud computing network requires higher performance than traditional application big data center, which makes the consideration of network platform construction performance different from the traditional understanding. During COVID-19, we deeply understood the underlying attributes of cloud, combined with the topology model, we can realize the decoupling of cloud computing big data system, change the situation of direct connection between upstream and downstream, and …have more reliable and efficient transmission of message and command big data. Show more

Keywords: Measurement and control system, cloud computing, central cache, real time big data distribution

DOI: 10.3233/JIFS-189289

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8917-8925, 2020

Authors: Zheng, Bing | Yun, Dawei | Liang, Yan

Article Type: Research Article

Abstract: Under the impact of COVID-19, research on behavior recognition are highly needed. In this paper, we combine the algorithm of self-adaptive coder and recurrent neural network to realize the research of behavior pattern recognition. At present, most of the research of human behavior recognition is focused on the video data, which is based on the video number. At the same time, due to the complexity of video image data, it is easy to violate personal privacy. With the rapid development of Internet of things technology, it has attracted the attention of a large number of experts and scholars. Researchers have …tried to use many machine learning methods, such as random forest, support vector machine and other shallow learning methods, which perform well in the laboratory environment, but there is still a long way to go from practical application. In this paper, a recursive neural network algorithm based on long and short term memory (LSTM) is proposed to realize the recognition of behavior patterns, so as to improve the accuracy of human activity behavior recognition. Show more

Keywords: Recurrent neural network, behavior recognition, time series analysis, automatic coder

DOI: 10.3233/JIFS-189290

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8927-8935, 2020

Authors: Yan, Hao

Article Type: Research Article

Abstract: Under the influence of epidemic situation, the treatment of pollutants is stricter. After the epidemic, how to treat the river pollutants by microorganisms has become a difficult problem. In this paper, the microbial treatment technology of water pollution was studied, and the water quality model was used to simulate the process of microbial degradation of river pollutants. The dynamic equation is used to describe the relationship among microbial proliferation, removal of organic pollutants, change of dissolved oxygen concentration, different forms of nitrogen and different forms of phosphorus, so as to realize the mathematical expression of water quality change in the …process of microbial treatment of river pollutants. Finally, the numerical simulation model of microbial treatment of river pollution is obtained through experimental analysis, which provides an accurate reference model for the prevention and control of river pollution after the outbreak. Show more

Keywords: Water pollution, microbial treatment, water quality model, microbial degradation, river pollution

DOI: 10.3233/JIFS-189291

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8937-8942, 2020

Authors: Niu, Meng

Article Type: Research Article

Abstract: The COVID-19 epidemic has brought a huge impact to the clothing industry. Because of the inconveniences caused by countermeasures, clothing consumers can’t go to physical stores to try on, so it is urgent to develop a virtual clothing trial system. In addition, online fitting and online shopping gradually become the trend of clothing consumption. Based on virtual reality technology, this paper proposes a virtual clothing fitting system, and studies the color saturation in the process. In this paper, a method of parametric drawing of garment characteristic curve is proposed, and the shape of garment is designed by using control vertices. …Based on this, this paper presents four forms of sutured parabola space and their control point solving algorithm. According to the principle of scale method, a three-dimensional coordinate transformation model of feature points is established. The model can calculate the coordinates of each characteristic value point of clothing according to the body shape information provided by customers and the empirical formula of different clothing styles, and then reverse calculate the curve control point. Furthermore, Bezier surface generation method is used to fit the control points. After the surface patches are spliced, the 3D rigid clothing model can be obtained. Experiments show that the method of personalized clothing modeling in this paper is efficient and accurate, which can be further extended to the observation system with larger degree of freedom. Show more

Keywords: Virtual fitting, color saturation, stitching parabola, Bezier surface generation, garment modeling.

DOI: 10.3233/JIFS-189292

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8943-8951, 2020

Authors: Wang, Jin

Article Type: Research Article

Abstract: Facing COVID-19 epidemic, many countries have recently strengthened epidemic prevention and control measures. The reliability of safety management is of great significance to personnel management and control during the COVID-19 epidemic period. The focus of security management of early warning is to monitor and identify the moving target. The current optical flow method is vulnerable to the influence of light changes and background movement, and it is not very accurate for moving target detection in dynamic complex background. In this paper, aiming at the traditional Lucas Kanade optical flow method, the inter frame difference method, mean shift clustering algorithm and …morphological processing are combined to optimize and improve on the original basis, so that the moving target detection effect in both simple and complex environments is significantly improved. At the same time, the improved algorithm also reduces the execution time to a certain extent, and has a certain resistance to noise interference such as light changes. This has a certain ability test value for personnel control during the epidemic. Show more

Keywords: Lucas Kanade optical flow method, COVID-19, mean shift algorithm, security management, moving target

DOI: 10.3233/JIFS-189293

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8953-8960, 2020