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

Authors: Gang, Li | Fang, Wang | Sishi, Quan

Article Type: Research Article

Abstract: COVID-19’s significant impact on economic and social life has rightfully garnered the attention of citizens and policymakers alike. In response to the pandemic, governments have issued strict guidelines and restrictions to shut down some cities and many rural villages in China. With no cure or vaccine on the horizon, governments are working to mitigate the damage of the lockdowns on rural cultural village. Over the past two decades, rural village has been negatively impacted by terrorism, lack of funding and loss of population. COVID-19 has had similar effect, but in an incredibly short period of time. During the control period …of COVID-19, traditional data are widely used in village protection and renewal. Collect and sort out the original data of Huizhou culture to prepare for the subsequent calculation. After the data is ready, the data is processed as the basis of mining its potential application value. In this paper, the key words of Huizhou cultural resources are summarized. The data analysis platform is established. This paper analyzes people’s preference for Huizhou cultural resources. To better realize the more effective and far-reaching development and exploitation of Huizhou cultural resources. Show more

Keywords: Big data, Huizhou traditional village cultural resources, cultural heritage, mining applications, COVID-19

DOI: 10.3233/JIFS-189264

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8685-8693, 2020

Authors: Yingzhi, Xu | Lu, Yun

Article Type: Research Article

Abstract: Under the influence of novel coronavirus pneumonia, the traditional manual oil painting creation has put forward higher requirements. The disadvantages of traditional hand drawing are very obvious: tedious, inconvenient to modify and save, slow speed of painting, which can no longer meet the requirements of social development. In this paper, the fitness of oil painting function is discussed. Through the analysis of the experimental results, it is found that this method has important reference value for optimizing algorithm and improving traditional hand drawing during COVID-19.

Keywords: Genetic algorithm, aesthetic criteria, COVID-19, genetic operator, fitness function

DOI: 10.3233/JIFS-189265

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8695-8702, 2020

Authors: Yongjun, Tang

Article Type: Research Article

Abstract: During the period of COVID-19 protection, Internet of Things (IoT) has been widely used to fight the outbreak of pandemic. However, the security is a major issue of IoT. In this research, a new algorithm knn-bp is proposed by combining BP neural network and KNN. Knn-bp algorithm first predicts the collected sensor data. After the forecast is completed, the results are filtered. Compared with the data screened by traditional BP neural network, k-nearest-neighbor algorithm has good data stability in adjusting and supplementing outliers, and improves the accuracy of prediction model. This method has the advantages of high efficiency and small …mean square error. The application of this method has certain reference value. Knn-bp algorithm greatly improves the accuracy and efficiency of the Internet of things. Internet of things network security is guaranteed. It plays an indelible role in the protection of COVID-19. Show more

Keywords: Artificial neural network, security design, internet of things, KNN, COVID-19

DOI: 10.3233/JIFS-189266

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8703-8711, 2020

Authors: Yuan, Luo | Xiaofei, Zhao | Yiyu, Qiu

Article Type: Research Article

Abstract: At present, the evaluation of normal teaching order and teaching quality has been seriously interfered by the impact of COVID-19. In order to ensure the quality of art classroom teaching, this article uses BP neural network technology to build a model for art teaching quality evaluation during the epidemic. Based on the introduction of the BP neural network model and the problems of art teaching quality evaluation, the article focuses on the art teaching quality evaluation indicators and the BP neural network algorithm and process. In addition, the article also uses an empirical method to verify the effect of the …BP network model training method, and obtains the expected effect. Finally, it discusses the problem of information processing in art teaching evaluation. Show more

Keywords: Art teaching quality evaluation, BP neural network, COVID-19

DOI: 10.3233/JIFS-189267

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8713-8721, 2020

Authors: Qiuling, Zheng | Ke, Yang | Qiang, Xu | Chenglong, Zhang | Liguang, Wang

Article Type: Research Article

Abstract: Under the influence of novel corona virus pneumonia, the staff are controlled. Therefore, it is a difficult problem to measure the parameters of wood structure building on site. The measurement error of traditional wood structure parameters in complex environment is large, so an efficient and accurate measurement and recognition method is needed. In this paper, a method combining random decrement method and ITD method is proposed to measure the frequency, damping ratio and other structural dynamic parameters of ancient building timber structure under crowd random load excitation. In this paper, the frequency and damping ratio of the typical ancient building …timber structure are predicted by using the artificial neural network model trained by the known data. The experimental results show that the population density has a great influence on the measurement of the dynamic parameters of the wooden structure of ancient buildings. Using this method, combined with the long-term monitoring data of temperature and humidity, the influence of various environmental factors on the dynamic characteristics of the structure can be analyzed. This provides data support for structural damage identification and health monitoring. Show more

Keywords: Artificial neural network (ANN), ITD method, population distribution density, dynamic characteristics, COVID-19

DOI: 10.3233/JIFS-189268

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8723-8729, 2020

Authors: Xi, Zhang

Article Type: Research Article

Abstract: The transmission routes of novel coronavirus pneumonia include direct transmission, aerosol transmission and contact transmission. Therefore, the novel coronavirus pneumonia has been spread very quickly. This has a certain impact on the development of graphic design. Graphic design plays an important role in product design. However, the traditional aided design method is too complex, and it is difficult for designers to design works that meet their own needs. In the design of 3D virtual vision graphics, the distance calculation of time series is not accurate. This kind of error will bring some errors to the design of complex curved surface …products. In order to measure the similarity of time series effectively, the calculation principle of Euclidean distance and dynamic bending distance is analyzed. Combined with the advantages of these two methods, a new distance calculation method based on morphological fitting is proposed. In this paper, through the research of ordered point sequence, the 3D virtual design method is used to improve the design effect, which has reference value for the design of works that meet the requirements of designers during the popularity of COVID-19. Show more

Keywords: 3D virtual graphic design, time series, distance calculation, shape fitting, COVID-19

DOI: 10.3233/JIFS-189269

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8731-8738, 2020

Authors: Guanggen, Li | Matthews, Andrew

Article Type: Research Article

Abstract: The popularity of covid-19 has led to the introduction of the policy of controlling the flow of personnel, which has a certain impact on the color recognition of the design objects of hand decorative elements. In the past, the research on convolution neural network design and color recognition is still in the traditional method, and the field of computer vision is not really combined with the traditional decorative fabric. This paper proposes a solution based on deep learning. Color learning and main color recognition can be processed as a whole. By introducing convolution neural network, the scheme can learn color …features directly from the image itself, and the process of artificial design features is omitted. While simplifying the process of model building and training, the potential information association can be obtained, so as to obtain better recognition effect. In addition, due to the deep depth of the network, this paper uses the initial optimization module to avoid the performance degradation and over fitting in the training process. This method has an important reference value for the color design of modern hand decoration, and can promote the development of hand decoration during the popularity of covid-19. Show more

Keywords: CNN architecture, inception module, AVG pool, softmax, COVID-19

DOI: 10.3233/JIFS-189270

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8739-8746, 2020

Authors: Guochen, Wan | Feihong, Shan

Article Type: Research Article

Abstract: During covid-19, basketball training was stopped. Instead, the basketball video analysis is used. In this paper, literature, theoretical analysis, numerical simulation, experimental research and other research methods are used. The ant colony algorithm model of deep learning optimization for basketball technical and tactical decision-making is established to solve the optimization problem of actual technical and tactical decision-making. In this paper, video image correlation algorithm is used. In the video of players’ free throw basket, there are many independent frames. The real frame set of free throw basket includes the whole process of jumping, arm lifting, squatting and stretching. The shooting …frame set and shooting information of the ball are obtained. In this paper, a shot frame detection algorithm is proposed by analyzing multiple samples of multi shot video. The mathematical model of the shooting frame is established, which can locate the shooting frame quickly and accurately and determine the penalty frame set. Further obtain the basketball release status information for preparation. The reliability and robustness of the algorithm are verified by experiments on several samples. It provides a new method for basketball training during covid-19. Show more

Keywords: Deep learning theory, video analysis, basketball training assistant, ant colony algorithm model

DOI: 10.3233/JIFS-189271

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8747-8755, 2020

Authors: Xiaozhou, Yang | Fan, Bai | Jones, Paul

Article Type: Research Article

Abstract: Based on the impact of epidemic prevention and control, the floating population supervision department classifies and controls the floating population by industry. There are many personnel management and control points. When the computer-aided management system is used, the outdoor environment is complex and the data interference is large. Therefore, the recognition accuracy of outdoor scenery is required to be higher. In this paper, a convolutional neural network with adaptive weights is proposed. In this method, the feature fusion strategy is combined with the network, and the optimal feature weight is obtained by training the network. In addition, this paper uses …multiple two classifiers instead of multiple classifiers to achieve accurate target classification. Experiments show that the method proposed in this paper has excellent performance in the detection of similar objects. The strategy of replacing multi classification network with multi classification network improves the accuracy and recall of target detection in known environment. Show more

Keywords: Adaptive weight, convolution neural network, fusion strategy, outdoor environment recognition

DOI: 10.3233/JIFS-189272

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8757-8766, 2020

Authors: Kai, Cui

Article Type: Research Article

Abstract: Under the influence of COVID-19, an efficient Ad-hoc network routing algorithm is required in the process of epidemic prevention and control. Artificial neural network has become an effective method to solve large-scale optimization problems. It has been proved that the appropriate neural network can get the exact solution of the problem in real time. Based on the continuous Hopfield neural network (CHNN), this paper focuses on the study of the best algorithm path for QoS routing in Ad-hoc networks. In this paper, a new Hopfield neural network model is proposed to solve the minimum cost problem in Ad-hoc networks with …time delay. In the improved version of the path algorithm, the relationship between the parameters of the energy function is provided, and it is proved that the feasible solution of the network belongs to the category of progressive stability by properly selecting the parameters. The calculation example shows that the solution is not affected by the initial value, and the global optimal solution can always be obtained. The algorithm is very effective in the prevention and control in COVID-19 epidemic. Show more

Keywords: Ad-hoc Network, Routing Algorithm, Neural Network, COVID-19

DOI: 10.3233/JIFS-189273

Citation: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 6, pp. 8767-8774, 2020