Journal of Intelligent & Fuzzy Systems - Volume 40, issue 2

Authors: Mao, Jian | Liu, Jinming | Zhang, Jiemin | Han, Zhenzhong | Shi, Sen

Article Type: Research Article

Abstract: The unintentional electromagnetic (EM) emission of computer monitors may cause the leakage of image information displayed on the monitor. Detection of EM information leakage risk is significant for the information security of the monitor. The traditional detection method is to verify EM information leakage by reconstructing an image from EM emission. The detection method based on image reconstruction has limitations: adequate signal sampling rate, accurate synchronization signal, and dependence on operational experience. In this paper, we analyze the principle of image information leakage and propose an innovative detection method based on Convolutional Neural Network (CNN). This method can identify the …image information in EM emission to verify the EM information leakage risk of the monitor. It overcomes the limitations of the traditional method with machine learning. This is a new attempt in the field of EM information leakage detection. Experimental results show that it is more adaptable and reliable in complex detection environment. Show more

Keywords: Convolutional neural network, electromagnetic information leakage, image identification, information security, computer monitor

DOI: 10.3233/JIFS-189337

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2981-2991, 2021

Authors: He, Gongfei | Zhang, Bingyi | Feng, Guihong

Article Type: Research Article

Abstract: With the wide application of electric drive equipment and variable frequency load, the power supply system based on the DC grid has attracted much attention because of its high energy density and simple control, and the operation mode of rectifier AC synchronous generators operating in parallel is often adopted. The available topology structures of the rectifier permanent magnet (PM) generator sets are analyzed in this paper, the parallel operation principle of uncontrolled rectifier PM generator sets is analyzed in theory. The parallel operation characteristics of the generator sets are summarized when the voltage-stabilizing and power balanced measures are not taken, …and the influence factors of power balancing among parallel operation generators are analyzed. The power-balanced method of rectifier generator sets operating in parallel based on a master-slave control strategy is proposed, which can realize power balanced with the closed-loop control of the DC side output current. The simulation and experiment results show that the proposed method can realize the power balanced control of rectifier generator sets operating in parallel well. The output power of each generator set can be distributed according to capacity. The rationalization proposal of how to matching generators’ parameters in the power supply system of rectifier PM generator sets operating in parallel is given. Show more

Keywords: PM generator, uncontrolled rectifier, operating in parallel, power balanced control, mobile power supply

DOI: 10.3233/JIFS-189338

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2993-3003, 2021

Authors: Li, Xiaowen | Li, Jianwei | Liu, Cheng | Chen, Chuanbin

Article Type: Research Article

Abstract: The tailings dam safety monitoring system is a system that plays an important role in disaster prevention and reduction. This paper divides the whole network of mine dam safety monitoring systems into two parts, that is, the basic wireless network and GPRS network from the gateway to the monitoring center. First, it’s the hardware of the design module, the network is divided into uplink communication and downlink communication, uplink communication is to upload the dam data collected by the terminal node to the gateway through the network. Downlink communication is the instruction sent by the gateway to the monitoring center, …send to terminal nodes through data conversion between protocols. Secondly, the gateway also needs to solve the data conversion between the network and GPRS network protocol, so that the entire security monitoring system can communicate accurately. The communication between gateway and monitoring center is realized through the GPRS network, this requires adding the GPRS communication module to the gateway module. To increase the diversity of communications, communication between GSM short message communication methods and monitoring centers has also increased. The experimental results prove that the system in this paper can be applied to the mine dam safety monitoring system, meet the design requirements. Show more

Keywords: Internet of things, safety monitoring, wireless sensor networks, tailing dam

DOI: 10.3233/JIFS-189339

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3005-3014, 2021

Authors: Guan, Shuai

Article Type: Research Article

Abstract: With the continuous implementation of the Belt and Road Initiative of China, cross-border e-commerce is gradually becoming one of the main ways of trade. The smart operation of cross-border logistics has become an important factor affecting the quality of cross-border e-commerce transactions by its characteristics of high-efficiency, high-quality, and low-cost. As China’s first smart city in China with the theme of the aviation economy, the top priority for developing cross-border e-commerce in the Zhengzhou Airport Economic Zone is to construct cross-border e-commerce smart logistics. This paper expounds on the significance of applying big data technology on the construction of the …intelligent logistics, analyzing its important roles not only in further promoting the cross-border e-commerce development in the Zhengzhou Airport Economy Zone but also during the process of the entire national economic transformation and escalation. The smart logistics constructing strategy in the Zhengzhou Airport Economy Zone is expected to provide ideas and support for the Zhengzhou Airport Economy Zone making continuous improvement in leading and pushing the Henan regional economy to achieve sustainable development in the future. Show more

Keywords: Smart logistics construction, big data, cross-border e-commerce, the Zhengzhou airport economy zone

DOI: 10.3233/JIFS-189340

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3015-3023, 2021

Authors: Zheng, Haoxin | Huang, Minghui | Zhan, Lihua | Liu, Peiyao | Zhu, Ziqing

Article Type: Research Article

Abstract: The actuator is an important component of missiles and other aircraft to maintain the flight attitude. A method to calculate the power of the electric servo motor was proposed according to the load characteristics’ of both the servo motor and actuator. An optimization method for the transmission reduction ratio was obtained by considering the load torque equation. Dynamics simulations of the actuator were conducted under a variety of conditions. The simulation results show that the clearance and the friction between the ball screw and the fork, which consist of the transmission mechanism, induce the torque fluctuations, as a source of …noise in the motor load. According to the optimization design of the Electric, the Actuator prototype has passed the test, the performance meets the design requirements. Show more

Keywords: Actuator, dynamic simulation, load characteristics, friction, clearance

DOI: 10.3233/JIFS-189341

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3015-3023, 2021

Authors: Zhou, Jianheng | Xu, Rongfei

Article Type: Research Article

Abstract: In product sales with network externalities, a Stackelberg game model is established with a new product and an existing product in the market, investigating the influence of first-mover strategy and non-strategic pricing model on the pricing, market share, and profit of an enterprise. Furthermore, the influence of network externalities and transfer costs on the strategies of latecomers is studied. Finally, the market equilibrium is analyzed. The results show that under the strategic pricing, the first entrant grabs the market share with low price and low profit in the first stage, to obtain greater network externalities in the second stage, enhance …the competitiveness with latecomer, and make the total revenue greater. Given network externalities and transfer costs, the strategic behavior of the first entrant makes it harder for the later entrant to enter the market. Show more

Keywords: Network externalities, long-term pricing, transfer costs, strategic pricing, equilibrium analysis

DOI: 10.3233/JIFS-189342

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3035-3043, 2021

Authors: Zhou, Chengmin | Huang, Ting | Liang, Shuang

Article Type: Research Article

Abstract: Smart home products and equipment are relatively expensive while using specific physical objects to prove functional characteristics, the cost is high, and it is difficult to meet the personal needs of customers. Based on the above background, the purpose of this research is the application and design of a smart home R&D system based on virtual reality. This study proposes the concept of introducing virtual reality methods into the control scene given the shortcomings of the existing smart home control interface interaction methods. From the perspective of being more suitable for the user’s needs, the virtual reality method is used …to optimize the smart home interaction methods. Through the analysis of the user’s lifestyle and needs, the functional module model of applying virtual reality to the smart home control scheme is established. Then, by collecting data, use Sketchup software to build and optimize the model of the simulation system to build a realistic family scene model. Finally, through the integrated use of the Unity 3D rendering engine and the virtual simulation system technology, the intelligent simulation of the interior functions of the house is realized. Experimental results show that using virtual reality to optimize the interaction of smart homes, the control method is relatively simple, and the cost can be reduced by about 20%. Show more

Keywords: Smart home, virtual reality, 3d modeling, natural interaction

DOI: 10.3233/JIFS-189343

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3045-3054, 2021

Authors: Wang, Gang | Zhou, Jun

Article Type: Research Article

Abstract: With the development of science and technology, the intelligent robot has become an important tool in our production and life. It not only improves people’s living standards but also promotes economic development. At present, the related technology in the field of the intelligent robot has been developed rapidly, but at the same time, many technical problems have been exposed. The single path planning problem can be well solved, but the dynamic path planning of a robot is one of the current technical difficulties. At present, the genetic algorithm is the mainstream scheme, but its control accuracy is still lacking in …practical application. To solve this problem, this paper proposes a dynamic path planning scheme for intelligent robots based on a fuzzy neural network. The research of this paper is mainly divided into four parts. The first part is to analyze the current situation of technology research in this field and put forward the idea of this paper by analyzing the shortcomings of existing technologies. The second part is the research of related basic theory, which deeply studies the core theory of intelligent robot and dynamic path planning, which provides a theoretical basis for the later model implementation. The third part is the design and implementation of dynamic path planning based on a fuzzy neural network. This paper gives the design principle and specific improvement method in detail. At the end of the paper, that is, the fourth part, through comparative analysis experiments, further proves the superiority of the fuzzy neural network algorithm. Compared with the traditional particle swarm optimization algorithm, it can significantly improve the control accuracy and robustness of the model. Show more

Keywords: Neural networks, fuzzy theory, intelligent systems, intelligent robot

DOI: 10.3233/JIFS-189344

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3055-3063, 2021

Authors: Ren, Yanhong | Chen, Bo | Li, Aizeng

Article Type: Research Article

Abstract: Action is the key to sports and the core factor of standardization, quantification, and comprehensive evaluation. However, in the actual competition training, the occurrence of sports activities is often fleeting, and it is difficult for human eyes to identify quickly and accurately. There are many existing quantitative analysis methods of sports movements, but because there are many complex factors in the actual scene, the effect is not ideal. How to improve the accuracy of the model is the key to current research, but also the core problem to be solved. To solve this problem, this paper puts forward an intelligent …system of sports movement quantitative analysis based on deep learning method. The method in this paper is firstly to construct the fuzzy theory human body feature method, through which the influencing factors in the quantitative analysis of movement can be distinguished, and the effective classification can be carried out to eliminate irrelevantly and simplify the core elements. Through the method of human body characteristics based on fuzzy theory, an intelligent system of deep learning quantitative analysis is established, which optimizes the algorithm and combines many modern technologies including DBN architecture. Finally, the accuracy of the method is improved by sports action detection, figure contour extraction, DBN architecture setting, and normalized sports action recognition and quantification. To verify the effect of this model, this paper established a performance comparison experiment based on the traditional method and this method. The experimental results show that compared with the traditional three methods, the accuracy of the in-depth learning sports movement quantitative analysis method in this paper has greatly improved and its performance is better. Show more

Keywords: Action recognition, sports movement, deep learning, action characteristics

DOI: 10.3233/JIFS-189345

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3065-3073, 2021

Authors: Zhao, Kai | Jiang, Wei | Jin, Xinlong | Xiao, Xuming

Article Type: Research Article

Abstract: The traditional sports match analysis mostly adopts the method of manual observation and recording, which is not only time-consuming and laborious but also has the defects of subjectivity and inaccuracy in the judgment results, resulting in the deviation of the match data analysis and statistical results. The purpose of this paper is to study an artificial intelligence system that can automatically analyze and evaluate the effect of both sides in volleyball matches. In this paper, the system is divided into two steps: detection and tracking of moving objects, recognition, and classification of players’ behaviors and movements. About moving target detection …and tracking, this paper proposes a moving target fast detection framework based on a mixture of mainstream technologies and a MeanShift target tracking method based on Kalman filtering and adaptive target region size. For behavior and action recognition and classification, this paper proposes a classifier combining BP neural network and support vector machine. Experimental results show that the proposed algorithm and classifier are effective. By analyzing the performance of the proposed classifier, the classification accuracy is 98%. Show more

Keywords: Intelligent analysis, volleyball match, artificial intelligence, target recognition algorithm, behavior classification algorithm

DOI: 10.3233/JIFS-189346

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3075-3084, 2021

Authors: Xu, Wenhan | Bo, Hongguang | Chen, Yinglian

Article Type: Research Article

Abstract: In order to explore the impact of the system-driven supply chain, collaborative operations, and organizational characteristics on supply chain operational performance, this paper based on the system dynamics method to simulate the established information collaborative supply chain model, analyze market demand data, inventory before and after the supply chain sharing The changes of inventory fluctuations in the supply chain and related calculations are compared with the simulation results under the current model to prove the importance of implementing information collaboration in the supply chain of a large retailer-led supply chain. The research in this paper shows that with the supply …chain information collaboration model, the average value of the manufacturer’s order quantity has dropped by 30.4%. Affected by this, the dispersion coefficient has also dropped from 0.76 to 0.6, and the average number of orders in the distribution center has also dropped by 12.2%; With the supply chain information synergy model, the average value of the raw material inventory of manufacturers has dropped significantly, from 3400 in the current model to 2500 in the information synergy model, a decrease of 27%, the standard deviation has also decreased by 57%, and the dispersion coefficient has dropped from 0.98 to 0.50; The standard deviation rate of the inventory of the distribution center is 30%; from the perspective of the overall retail supply chain, the inventory has fallen by 14%, the standard deviation has fallen by 34%, and the dispersion coefficient has dropped from 0.76 in the current model to the information collaboration model. 0.6, it can be seen that the mode of supply chain information coordination has a great effect on reducing supply chain costs and improving supply chain efficiency. Show more

Keywords: System dynamics, supply chain management, information collaboration, a supply chain operating performance

DOI: 10.3233/JIFS-189347

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3085-3095, 2021

Authors: Zhao, Jinghua | Lin, Jie | Liang, Shuang | Wang, Mengjiao

Article Type: Research Article

Abstract: The paper first analyzes the correlation between text sentiment values and personality traits, proves that text sentiment can have a good support effect on user personality prediction, then on this basis, a method based on CNN-LSTM is proposed, which can be used to deeply analyze the sentiment analysis capability of the model, hoping to improve the precision of sentiment classification and lay a solid foundation for the next experiment. This experiment proves that the CNN-LSTM constructed in this paper can better predict the emotional tendency of the short text of microblog, has good generalization ability, and has higher precision than …other methods. Show more

Keywords: CNN-LSTM, sentiment annotation, social media, personality

DOI: 10.3233/JIFS-189348

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3097-3106, 2021

Authors: Fu, Qiang | Ma, Li | Li, Chao | Li, Zhi | Zhu, Zhengyu | Lin, Zhiran

Article Type: Research Article

Abstract: At present, the majority of sports games video adopts MPEG image technology, and MPEG video compression is the current more mainstream approach. After compression, the quality of the video will decline, and other practical problems. However, the existing detection methods of sports video scene conversion, when dealing with MPEG compressed video, are not ideal, often appear the phenomenon of missing detection and wrong detection. In order to solve this problem, this paper proposes a detection method of sports scene conversion on MPEG compressed video based on fuzzy logic. Introducing fuzzy logic into the detection method of video scene conversion is …the highlight of this method. Firstly, this paper preprocessed the video image according to the Convention. In this paper, the recognition of image features and specific extraction methods are introduced in detail, and the extraction algorithm of image color features is further optimized. For the design of the detection method, the main innovation is to fully combine the fuzzy logic and macroblock information. In the existing detection methods, different detection schemes are given for the abrupt change of video scene and the gradual change of scene. Finally, in order to verify the actual effect of the detection method in this paper, an experimental analysis based on the keyframe complexity detection method is established. After a number of experiments including the experimental results of scene transition, analysis, and processing time, through the analysis of data, a step-by-step proof of this method has good accuracy and recall. Show more

Keywords: Fuzzy logic, MPEG compression technology, scene detection; sports video

DOI: 10.3233/JIFS-189349

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3107-3115, 2021

Authors: Li, Zhipeng | Li, Xiaolan | Shi, Ming | Song, Wenli | Zhao, Guowei | Yang, Ruizhu | Li, Shangbin

Article Type: Research Article

Abstract: Snowboarding is a kind of sport that takes snowboarding as a tool, swivels and glides rapidly on the specified slope line, and completes all kinds of difficult actions in the air. Because the sport is in the state of high-speed movement, it is difficult to direct guidance during the sport, which is not conducive to athletes to find problems and correct them, so it is necessary to track the target track of snowboarding. The target tracking algorithm is the main solution to this task, but there are many problems in the existing target tracking algorithm that have not been solved, …especially the target tracking accuracy in complex scenes is insufficient. Therefore, based on the advantages of the mean shift algorithm and Kalman algorithm, this paper proposes a better tracking algorithm for snowboard moving targets. In the method designed in this paper, in order to solve the problem, a multi-algorithm fusion target tracking algorithm is proposed. Firstly, the SIFT feature algorithm is used for rough matching to determine the fuzzy position of the target. Then, the good performance of the mean shift algorithm is used to further match the target position and determine the exact position of the target. Finally, the Kalman filtering algorithm is used to further improve the target tracking algorithm to solve the template trajectory prediction under occlusion and achieve the target trajectory tracking algorithm design of snowboarding. Show more

Keywords: Snowboarding, multi-target matching tracking, occluding target, multi-algorithm fusion

DOI: 10.3233/JIFS-189350

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3117-3125, 2021

Authors: Lu, Yan’an | Shi, Lei

Article Type: Research Article

Abstract: This research mainly discusses the characteristics of BIM architecture design and its application in traditional residential design from the perspective of smart cities. Given the topics that people are more concerned about, this research mainly uses BIM modeling technology to initially build a virtualized building model. It discusses the convenience of intelligent automation technology in terms of resource consumption and house security. In terms of safety, different levels of wind blowing strength are mainly used to measure the distance moved by the house to evaluate the safety factor. Divide the wind blowing intensity into A, B, C, D, E, F, …and 6 levels to test the strength of the house. When the wind intensity level is F, the safety factor is the weakest, which is 20%. When conducting a house consumption test, directly measure the house’s electricity consumption within a specified time to conduct a resource rate consumption test. Divide the time period into 1 h, 2 h, 3 h, 4 h, 5 h, 6 h, 6 different time periods to measure power consumption. The resource consumption rate reaches a maximum value of 96% when the length of time is 6 h. The experimental results show that the safety characteristics of BIM technology are the weakest when the wind strength level is F, and the safety performance is different when the wind strength level is different. In terms of resource consumption, the resource consumption rate reaches the maximum value when the time is 6 h, and the length of time directly determines the housing resource consumption rate. From the perspective of a smart city, BIM building design has the advantages of low resource consumption and high safety factor. Show more

Keywords: Smart city, BIM architectural design, traditional residential design, safety factor, house strength

DOI: 10.3233/JIFS-189351

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3127-3136, 2021

Authors: Zhao, Chen | Xue, Ye | Niu, Tong

Article Type: Research Article

Abstract: Nowadays, with the development of science and technology, the progress of society, and the fierce competition among enterprises in the market, the current market competition has gradually turned into the competition of talents, and the excellent talent reserve of enterprises is a competitive advantage. However, there are many enterprises and many places where human resource management is not in place. At the same time, many imperceptible problems in human resource management, most of which are hidden and uncertain, lead to business problems and related phenomena and threaten the further development of enterprises. Although there are many research methods for these …problems, it is difficult to analyze the current situation with this method because of its strong subjectivity. In order to better solve the above problems, this paper studies the standard system of human resource management under the background of the fuzzy system and uses the new structure of human resource fuzzy theory decision-making which has strong theoretical and practical value in human resource system. In the research of this paper, human resource management indicators are divided into comprehensive and professional. Aiming at these two categories of indicators, this paper uses human resource management theory to analyze them systematically and designs a more reasonable indicator system. Then, taking an enterprise as an example, it uses a fuzzy comprehensive evaluation method to combine qualitative and quantitative research to analyze the enterprise. In the analysis, this paper finds that there are some problems in human resource management, such as performance management is not in place, employees’ sense of belonging is not strong, and through the fuzzy comprehensive evaluation of the enterprise situation, it is found that the enterprise human resource management system is good, but still needs to further improve the enterprise management system. Show more

Keywords: Fuzzy theory, human resource management theory, comprehensive evaluation

DOI: 10.3233/JIFS-189352

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3137-3146, 2021

Authors: Zheng, Xiangyu | Jia, Rong | Aisikaer, | Gong, Linling | Zhang, Guangru | Dang, Jian

Article Type: Research Article

Abstract: Ensuring the stable and safe operation of the power system is an important work of the national power grid companies. The power grid company has established a special power inspection department to troubleshoot transmission line components and replace faulty components in a timely manner. At present, assisted manual inspection by drone inspection has become a trend of power line inspection. Automatically identifying component failures from images of UAV aerial transmission lines is a cutting-edge cross-cutting issue. Based on the above problems, the purpose of this article is to study the component identification and defect detection of transmission lines based on …deep learning. This paper expands the dataset by adjusting the size of the convolution kernel of the CNN model and the rotation transformation of the image. The experimental results show that both methods can effectively improve the effectiveness and reliability of component identification and defect detection in transmission line inspection. The recognition and classification experiments were performed using the images collected by the drone. The experimental results show that the effectiveness and reliability of the deep learning method in the identification and defect detection of high-voltage transmission line components are very high. Faster R-CNN performs component identification and defect detection. The detection can reach a recognition speed of nearly 0.17 s per sheet, the recognition rate of the pressure-equalizing ring can reach 96.8%, and the mAP can reach 93.72%. Show more

Keywords: Power line detection, deep learning, component recognition, faster R-CNN, network model

DOI: 10.3233/JIFS-189353

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3147-3158, 2021

Authors: Li, Weiguang

Article Type: Research Article

Abstract: With the vigorous promotion of the construction of smart campus by the ministry of education, the development concept of smart campus will have broad application prospects. However, colleges and universities are still at the stage of digital campus and there are many problems left. It is difficult to complete the transition from digital campus to smart campus. The main problem is that the campus data has only been digitized but not informational. The purpose of this article is to study a smart campus management system based on the Internet of Things technology. This research uses the unified data collection source …of face recognition terminal hardware products based on the Internet of Things technology, unified management in the background of the system, and calculates and analyzes the data to obtain valuable campus big data. This study designed and implemented a complete smart campus management system by analyzing the system design principles and design goals. This system is mainly divided into the face recognition terminal hardware and smart campus software system based on the Internet of Things. By analyzing the data generated by students and faculty and staff, it can provide a reference for campus managers to improve management quality, and help teachers and students to formulate more efficient learning and teaching and research plans. This article tests the practicability of the system and obtains the user’s satisfaction as 8.0. Show more

Keywords: Internet of things, smart campus, management system, big data, smart terminal

DOI: 10.3233/JIFS-189354

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3159-3168, 2021

Authors: Liu, Ying | Wang, Guoshi | Guo, Wei | Zhang, Yingbin | Dong, Weiwei | Guo, Wei | Wang, Yan | Zeng, ZhiXiang

Article Type: Research Article

Abstract: The power grid is the foundation of the development of the national industry. The rational and efficient distribution of power resources plays an important role in economic development. The smart grid is the use of modern network information technology to realize the exchange of data information between grid devices. The construction of smart grids has accumulated a huge amount of data resources. At present, the demand for power companies to “use data management enterprises and use the information to drive services” is increasingly urgent. Power big data has become the basis for grid companies to make decisions, but the accumulation …of pure data does not bring benefits to grid companies. Therefore, making full use of these actual data based on the grid, in-depth analysis, and discovering and using the hidden information is of great significance for guiding the power companies to make correct decisions. This paper first analyzes the differences between smart grids and traditional grids and provides an overview of data mining techniques, including the association rules commonly used in association analysis. Then the application scenarios of data mining in the smart grid are put forward, and data mining technology is applied to power load forecasting. The experimental results show that the data mining method and actual results of the power load forecasting in the smart grid environment proposed in this paper are within a reasonable range. Therefore, the results of load forecasting in this paper are still of practical value. Show more

Keywords: Smart grid, data mining, big data, association rules

DOI: 10.3233/JIFS-189355

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3169-3175, 2021

Authors: Xindi, Yang | Huanran, Du

Article Type: Research Article

Abstract: The intelligent scheduling algorithm for hierarchical data migration is a key issue in data management. Mass media content platforms and the discovery of content object usage patterns is the basic schedule of data migration. We add QPop, the dimensionality reduction result of media content usage logs, as content objects for discovering usage patterns. On this basis, a clustering algorithm QPop is proposed to increase the time segmentation, thereby improving the mining performance. We hired the standard C-means algorithm as the clustering core and used segmentation to conduct an experimental mining process to collect the ted QPop increments in practical applications. …The results show that the improved algorithm has good robustness in cluster cohesion and other indicators, slightly better than the basic model. Show more

Keywords: Data migration, media content, QPop, log mining

DOI: 10.3233/JIFS-189356

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3177-3184, 2021

Authors: Lu, Chen | He, Beina | Zhang, Rui

Article Type: Research Article

Abstract: Aiming at the problem of low accuracy of the current English interpretation teaching quality evaluation, a teaching quality evaluation method based on a genetic algorithm (GA) optimized RBF neural network is proposed. First, the principal component analysis is used to select the teaching quality evaluation index, and then design The RBF neural network teaching evaluation model is used, and GA is used to optimize the initial weights of the RBF neural network. Experimental results show that this method can effectively evaluate the quality of English interpretation teaching, and has high accuracy and real-time performance.

Keywords: English interpretation teaching, quality evaluation, RBF neural network, genetic algorithm, principal component analysis

DOI: 10.3233/JIFS-189357

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3185-3192, 2021

Authors: Zhang, Xia | Tao, Sihan | Hu, Jinjia | Lin, Shuai | Hashimoto, Minoru

Article Type: Research Article

Abstract: Wearable robots must adjust the assist mode/intensity according to human motion during the motion assistance process. By decoding the surface electromyography (sEMG) signal, the standard deviation of the fractal dimension is used as a characteristic index of muscle contraction-relaxation ability, and explore the feasibility of using the standard deviation of the fractal dimension to estimate the human motor function and thus provide a basis for decision-making for the flexible control of wearable robots. First, the sEMG signals of several subjects with different motor functions were collected and their time-domain and frequency-domain features were extracted. The experimental results for one hour …of walking showed that the time-domain and frequency-domain feature values increased with muscle fatigue. The trend has little to do with the inherent motor function of the human body; Second, due to the strong nonlinearity, time-varying, and strong complexity of the sEMG signal, the fractal dimension nonlinear method is used to characterize the complexity of the EMG signal that is closely related to muscle function. Besides, theoretical and experimental studies have been conducted to clarify the feasibility of the complexity of fractal dimension representation and to provide theoretical support for the further use of the standard deviation of fractal dimension to estimate human motor function. The experimental results of continuous walking for one hour show that, macroscopically, the fractal dimension of each muscle of the individual subject does not change significantly with walking time, which shows that the fractal dimension has nothing to do with exercise time and muscle fatigue; On the microscopic level, the value of the fractal dimension changes when the subject’s muscles contract and relax. Subjects with strong motor function have smaller fractal dimensions when their muscles contract than subjects with weaker motor function, and the opposite happens when their muscles relax, and it can be seen that there is a positive correlation between the difference in the fractal dimension during muscle contraction and relaxation and the muscle contraction-relaxation ability and the human body’s inherent motor function. The test results verify the feasibility of using the standard deviation of fractal dimension to estimate the intrinsic motor function of the human body. Show more

Keywords: EMG signal, human-robot interaction, standard deviation of fractal dimension, human motor function

DOI: 10.3233/JIFS-189358

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3193-3205, 2021

Authors: Xiaoman, Liu

Article Type: Research Article

Abstract: This article has been retracted, and the online PDF has been watermarked “RETRACTED”. A retraction notice is available at https://doi.org/10.3233/JIFS-219219 .

DOI: 10.3233/JIFS-189360

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3207-3214, 2021

Authors: Yang, XinShun | Zhou, JiaJia | Wen, DaoQun

Article Type: Research Article

Abstract: To improve the effectiveness and intelligence of university teaching management evaluation, the particle swarm optimization BP neural network algorithm is applied to the analysis of university teaching management evaluation data. BP neural network is used to model the evaluation index of teaching management, and then particle swarm optimization is used to optimize the weight and threshold of the neural network transfer function to ensure that the output of the BP neural network can obtain the global optimal solution. The experimental results show that the proposed algorithm has a good fit between the predicted value and the actual value of the …evaluation object of teaching management in Colleges and universities, and has a strong promotion value. Show more

Keywords: Teaching management evaluation, particle swarm optimization, BP neural network, normal distribution, weight, threshold value

DOI: 10.3233/JIFS-189361

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3215-3221, 2021

Authors: Zhang, Lingxue | Wu, Haitao

Article Type: Research Article

Abstract: Taking the rapid development of electronic science and technology as an opportunity, MCU which undertakes the equipment control task is developing towards the direction of intelligence, self-learning and multi-function integration. They have been applied to all aspects of human production and life. Driven by computer network technology, the development of Internet of Things technology is promoted. In this era, only by strengthening the research and development and improvement of MCU control system can we promote the development of the entire society and economy. This article mainly studies the application of MCU Technology in IoT electronics. This article first briefly explains …the definition of MCU, and then summarizes the entire development process of MCU. On this basis, it is effectively combined with the actual situation, and puts forward the practical application of the MCU Technology in the Internet of Things electronic products. On the basis of ensuring that the personalized needs of modern people are met, it can lay a good foundation for the future development of electronic products. The research experiments in this paper found that up to 70 meters, and found that a large number of packet loss has affected the basic communication. It is believed that communication can be performed at 70 meters but the communication quality is poor. It is not recommended to use, and the test is terminated. It can be seen from the results that the communication distance of the terminal node is finally within 30 meters, which can ensure that the data is almost 100% received. The packet loss rate within 60 meters is within 2%, and the communication quality is good. Guarantee basic communication functions. Show more

Keywords: Internet of things, electronic products, single chip technology, technology research, sensor technology

DOI: 10.3233/JIFS-189362

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3223-3233, 2021

Article Type: Other

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3235-3235, 2021

Authors: Saravanan, Vijayalakshmi

Article Type: Editorial

DOI: 10.3233/JIFS-189363

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3237-3238, 2021

Authors: Hailong, Liang

Article Type: Research Article

Abstract: The problems and disadvantages of the traditional teaching mode of Taekwondo in colleges and universities are obvious, which is not conducive to cultivating the interest of contemporary college students in learning Taekwondo. In order to improve the teaching effect of Taekwondo, based on the intelligent algorithm of human body feature recognition, this study uses support vector machine to construct a Taekwondo teaching effect evaluation model based on artificial intelligence algorithm. The model corrects the movement of the students by recognizing the movement characteristics of the students’ Taekwondo and can conduct the movement guidance and exercises through the simulation method. In …order to verify the performance of the model in this study, this study set up control experiments and mathematical statistical methods to verify the performance of the model. The research results show that the model proposed in this paper has a certain effect and can be applied to teaching practice Show more

Keywords: Artificial intelligence, improved algorithm, Taekwondo, teaching effect, evaluation and analysis

DOI: 10.3233/JIFS-189364

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3239-3250, 2021

Authors: Li, Wang

Article Type: Research Article

Abstract: The teaching of linguistics is limited by the influence of various factors, which leads to poor teaching effect, and the teaching process is difficult to evaluate. In order to improve the efficiency of linguistics teaching, this paper uses improved machine learning algorithms to construct a linguistics artificial intelligence teaching model. According to the teaching needs of linguistics, the efficiency of the teaching process is improved, and the teaching evaluation is performed, and the root cause analysis algorithm based on MCTS is optimized. Moreover, according to the frequent item set algorithm in data mining, a layered pruning strategy is proposed to …further reduce the search space and improve the efficiency of the model. In addition, this study combines with the comparative teaching experiment to study the efficiency of artificial intelligence models in linguistics teaching. The statistical results show that the model proposed in this paper has a certain effect. Show more

Keywords: Machine learning, artificial intelligence, linguistics, teaching reform

DOI: 10.3233/JIFS-189365

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3251-3262, 2021

Authors: Li, Bo | Su, Zheqian

Article Type: Research Article

Abstract: “College English teaching guide” puts in forth unique challenges and needs for College teaching skills of English. It is pressing to cultivate innovative talents with quality writing in English. Teaching in English, as a subject to check the mastery of students’ English knowledge. The successful instructional project of English writing is an assurance and support smooth growth of English writing. It can make education get double the efforts, and allow the students development.’ writing ability y, but in fact, the current situation of structural design of writing English in college is not optimistic. With the rise of “Web in addition …to”, varying backgrounds have experienced emotional changes. “Web in addition to training” has become a pattern of advancement, which has brought new chances and difficulties for the educating and learning of College English composition. This research first describes the research status of data mining and College English writing at places of abroad and input the future the content of research and methods of research. Taking college English writing teaching as the research object, the association rules algorithm in data mining is applied to analyze the correlation factors of students’ writing performance and provide decision-making suggestions for teachers’ teaching. Show more

Keywords: Data mining, English writing, teaching, association rules, internet plus

DOI: 10.3233/JIFS-189366

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3263-3269, 2021

Authors: Yangsheng, Zhang

Article Type: Research Article

Abstract: College physical education is too one-sided, which makes the teaching process evaluation meaningless. Based on this, based on neural network technology, this article combines artificial intelligence teaching system to build an artificial intelligence sports teaching evaluation model based on neural network. The artificial intelligence model starts from the process evaluation and the final evaluation. Moreover, it uses a recurrent neural network for data training and analysis, and introduces a new decoder to perform data processing, and introduces a simplified gated neural network internal structure diagram to build the internal structure of the model.In addition, this study designs a control experiment …to evaluate the performance of the model constructed in this study. The research results show that the artificial intelligence model constructed in this paper has a good effect in the performance prediction and evaluation of college sports students. Show more

Keywords: Artificial intelligence, physical education, performance prediction, evaluation system

DOI: 10.3233/JIFS-189367

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3271-3279, 2021

Authors: Huang, Jieru | Wang, Tao

Article Type: Research Article

Abstract: The modernization of our country has opened a new era, and the “Internet +” national strategy has gone deep into various areas of people’s livelihood. Faced with many changes in the new situation, a variety of emerging information technologies continue to integrate into the classroom, such as Baidu teaching, Whiteboard, IPAD, flipping classroom, and learning space and so on, which makes the teacher’s teaching method and organization form have very big changes. There is a certain “flip” in the classroom indeed. This study explores the connotation and characteristics of music intelligent teaching and the main factors that affect the formation …of music teachers’ intelligent teaching under the background of “Internet +” education. In this paper, the related strategies of the formation of wisdom teaching are applied through the design of the auxiliary system, in order to optimize the traditional teaching mode by making full use of the network technology, improve the teaching efficiency, and train more and more music talents for the country. Show more

Keywords: “Internet +”, music, wisdom teaching, information technology

DOI: 10.3233/JIFS-189368

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3281-3287, 2021

Authors: Li, Ruisheng

Article Type: Research Article

Abstract: Based on the analysis of the characteristics of artificial intelligence and agent, this paper discusses the feasibility of introducing Web services and intelligent agent technology into online teaching and learning and proposes a modern distance education system model based on artificial intelligence agent technology web. The architecture integrates the advantages of Agent technology and Web services. Starting from improving the shortcomings of the traditional Web-based distance teaching system, it strives to increase learners’ self-directed learning interest, monitor students’ emotions, and exchange knowledge between teaching agents. To realize students’ on-demand learning according to their aptitude, teachers’ teaching ultimately improve the system’s …flexibility, personalization, and artificial intelligence. Under the guidance of learning communities and other theories, construct learner model ontology inference rules. Based on the learner’s relationship characteristics, the knowledge domain that the learner is interested in is inferred, thus constructing an intelligent information retrieval system. Knowledge retrieval is realized quickly and accurately, thereby verifying the application of learner relationship characteristics in digital learning. Show more

Keywords: Artificial intelligence, agent technology, web distance education, system design

DOI: 10.3233/JIFS-189369

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3289-3299, 2021

Authors: Li, Zihao | Wang, Hejin

Article Type: Research Article

Abstract: Traditional physical education in colleges and universities is difficult to arouse students’ interest in sports, resulting in low activity participation rate and inability to exercise the body. How to effectively improve the effectiveness of physical education in colleges and universities has become one of the hot topics of most concern from all walks of life. In physical education, innovative teaching concepts and methods, teaching methods and processes, and teaching evaluation methods are all conducive to improving the classroom atmosphere of physical education and successfully improve the effectiveness of physical education. This article focuses on analyzing the current status of physical …education in colleges and universities. Based on the rapid development of artificial intelligence technology, how to improve the effectiveness of physical education is studied, and an experimental method is used to compare and analyze physical education in a college. The analysis results show that artificial intelligence-based physical education can obviously improve students’ strength quality, speed quality, endurance quality, and agility quality, which provides a more important reference and reference for improving the effectiveness of college physical education. Show more

Keywords: Artificial intelligence technology, college physical education, auxiliary teaching, effectiveness

DOI: 10.3233/JIFS-189370

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3301-3311, 2021

Authors: Cong, Canri | Fu, Dongmei

Article Type: Research Article

Abstract: The focus of this article is to explore the application of artificial intelligence in university sports information services based on the development trend of artificial intelligence technology. Research and analyze the characteristics and functions of new intelligent information service tools, and explore the effects of artificial intelligence in optimizing university sports information services from the three aspects of intelligent evolution information service, intelligent push information, and intelligent retrieval information, and the connotation of intelligent environment Analyze characteristics and technical support to promote the optimization and upgrading of university sports information services, research on the transformation of evaluation methods from manual …evaluation to intelligent evaluation, and from standardized evaluation to differential evaluation, and specifically analyze the connotation of intelligent evaluation and differential evaluation, Features and key technologies, analyze the general process of intelligent evaluation, and summarize the implementation suggestions for intelligent evaluation. And discuss the application of artificial intelligence in university sports information services from scientific decision-making and automated management. Show more

Keywords: Artificial intelligence, college sports, information service, optimization and upgrading

DOI: 10.3233/JIFS-189371

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3313-3324, 2021

Authors: Zhang, Jianye

Article Type: Research Article

Abstract: This article analyzes the reform of information services in university physical education based on artificial intelligence technology and conducts in-depth and innovative research on it. In-depth analysis of the relationship between big data and the development and application of information technology such as the Internet, Internet of Things, cloud computing, to clarify the difference and connection between big data, informatization and intelligence. Artificial intelligence will bring opportunities for changes in data collection, management decision-making, governance models, education and teaching, scientific research services, evaluation and evaluation of physical education in our university. At the same time, big data education management in …colleges and universities faces many challenges such as the balance of privacy and freedom, data hegemony, data junk, data standards, and data security, and they have many negative effects. In accordance with the requirements of educational modernization, centering on the goal of intelligent and humanized education management, it aims existing issues in college physical education management. Show more

Keywords: Artificial intelligence technology, college sports, educational information service, reform and innovation

DOI: 10.3233/JIFS-189372

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3325-3335, 2021

Authors: Guo, Qiang | Li, Bo

Article Type: Research Article

Abstract: The physical health test of college students is an important part of the school physical education work and an important part of the school education evaluation system. It is an educational method that promotes the healthy development of students’ physical fitness and encourages students to actively take physical exercises. It is an individual evaluation standard for students’ physical fitness. It is also one of the necessary conditions for students to graduate. In order to improve the physique and health of college students, this article first introduces functional exercise tests to comprehensively measure the exercise capacity of the main muscle groups …and joints of the human body, and integrate flexibility and strength qualities. Secondly, this article quantitatively studies the interaction law between the natural light environment comfort of sports training facilities and architectural design elements, and adopts appropriate dynamic optimization methods to improve the light environment quality of the sports space, thereby enhancing the visual comfort of the sports crowd in the stadium. Finally, the artificial intelligence technology is introduced, through the design of artificial intelligence system, intelligent data collection, and analysis. From the perspective of physical education, the functional exercise test based on artificial intelligence conforms to the essential meaning of the physical fitness test and helps to enhance the awareness of college students’ physical exercise. And the intelligent remote multimedia physical education system based on artificial intelligence makes the physical education process flexible, free from time and place restrictions, and can adopt different teaching strategies according to the different situations of students to implement personalized teaching. Show more

Keywords: AI, functional sports training, physical education

DOI: 10.3233/JIFS-189373

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3337-3345, 2021

Authors: Zhao, Zhe | Liu, Xingyu | She, Xi

Article Type: Research Article

Abstract: As an advanced training concept, functional physical training is gradually recognized by top athletes for its high training effect and low sports injury. Functional physical training should gradually develop from elite athletes to grassroots athletes, so as to lay a solid foundation for the development of competitive sports. Because particle filtering is susceptible to external factors in moving target tracking, this paper designs a method for sparse coding using local image blocks of the target, establishes a static “impression” and dynamic model for the appearance of the target. The tracking problem is regarded as a binary classification problem between the …foreground target and the background image. During the tracking process, the dual particle filter is implemented to alleviate the tracking drift, so that the algorithm can adaptively capture the changes in the target appearance At the same time, it can reduce the update caused by wrong positioning. The subjects’ FMS test and Y balance test have improved in varying degrees; the pressure distribution of the forefoot, arch, and heel tends to be rationalized, and the ratio of internal and external splayed feet has decreased. Experiments show that this particle filter moving target tracking scheme can adapt to changes in the environment and overcome the inflexibility of the global template when dealing with local changes in the target. Show more

Keywords: Functional sports training, sports target tracking, local sparse expression, particle filter

DOI: 10.3233/JIFS-189374

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3347-3359, 2021

Authors: Wang, Ju-An | Liu, Shen | Zhang, Xiping

Article Type: Research Article

Abstract: This article is based on artificial intelligence technology to recognize and identify risks in college sport. The application of motion recognition technology first need to collect the source data, store the collected data in the server database, collect the learner’s real-time data and return it to the database to achieve the purpose of real-time monitoring. It is found that in the identification of risk sources of sports courses, there are a total of 4 first-level risk factors, namely teacher factors, student factors, environmental factors, and school management factors, and a total of 15 second-level risk factors, which are teaching preparation, …teaching process, and teaching effect. When the frequency of teaching risks is low, the consequence loss is small. When the frequency of teaching risks is low, the consequences are very serious. Risk mitigation is the main measure to reduce the occurrence of teaching risks and reduce the consequences of losses. Show more

Keywords: Artificial intelligence, college sports, exercise risk, cognitive and recognition applications

DOI: 10.3233/JIFS-189375

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3361-3372, 2021

Authors: Wang, Hejin | Li, Zihao

Article Type: Research Article

Abstract: Recently, Intense training in specialized sport among colleges and universities has steadily improved. Although most sportspeople accept that some degree of expertise in sport is required to achieve the elite stage, there is controversy over risk recognition and identification of sports activities in colleges and universities to optimize future performance. There is concern that a young athlete can suffer from sports specialization before adolescence due to various risk factors such as injuries, social tension, and hypertension etc..,. Furthermore, PubMed and OVID are looking to discuss sports specialization and athlete experience-based consensus opinions and position statements based on Universities and Colleges. …Risk recognition and identification tools are developed to identify the locations of athletes within the specialization spectrum using Linear Structural Modeling (LSM). Here, a degree of sports expertise is needed to create elite skill levels to overcome risk factors that have been suggested in the linear model. In most sports, though, such accelerated preparation should be deferred until late adolescence to reduce risk factors. The psychological burden has been analyzed for recognition, and classification based on the case study has been firmly researched in this paper. Show more

Keywords: Novice athletes, social tension, colleges and universities, risk recognition, accelerated preparation

DOI: 10.3233/JIFS-189376

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3373-3383, 2021

Authors: Tong, Wenxia | Li, Bo

Article Type: Research Article

Abstract: Decision-making is a vital aspect of any sport and competitive success, in particular open, strong, competitive team sports like soccer, volleyball, basketball, and rugby. However, in the notational analysis, it has largely ignored. To successfully win in any game and compete in every sport for individuals and teams at the national and international level, all success factors must be reconsidered to ensure a better winning decision. Hence, in this paper, Exploratory Hybridized Structural Equation Modeling Framework (HSEMF) has been proposed for decision making on functional training competitive sports training. The training environment will allow competitors to weigh up their options, …determine, and mistake. However, the main feature of the environment is that athletes must be informed if they make mistakes to ensure that they do not take part in the future. The feedback should be provided to improve the performance of the athlete. The decision accuracy and performance indicators have been evaluated. Overall, the results did not show a causal relationship between changes in decision making after implementing the learning modules. However, it has provided moderate evidence of improved reaction time due to the learning modules for decision-making. Show more

Keywords: Sports, structural equation modeling, competitive sports training

DOI: 10.3233/JIFS-189377

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3385-3395, 2021

Authors: Li, Bin | Fei, Yanying | Liu, Hui

Article Type: Research Article

Abstract: The teaching quality is the core of sustainable development in colleges and universities. The constructing scientific and reasonable teaching quality evaluation system is the key of teaching quality evaluation. This paper takes the quality of graduates as the core content, establishes a results-oriented teaching quality evaluation system in colleges and universities, and finds that the academic level of graduates and the level of competition in career selection are two quantitative dimensions reflecting the quality of graduates. Based on this, this paper establishes the evaluation model of the developmental potential index and gives the reference of the norm of teaching effect …evaluation for self-evaluation. Finally, this paper discusses the components of graduate quality and the way to construct the evaluation system. Show more

Keywords: Teaching quality, evaluation system, self-evaluation, potential index, artificial intelligence model

DOI: 10.3233/JIFS-189378

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3397-3407, 2021

Authors: Li, Yuanyuan | Wan, Xuehong

Article Type: Research Article

Abstract: This study utilizes empirical research method to compile the questionnaire for the motivation of Chinese medical students coming to China. The survey was conducted on 653 medical students from 55 origin countries and 8 universities in China. In addition to motivation research, we also analyzes the relationship between the factors such as university, educational background, gender and origin of students and the motivation. The results show that safe and stable social environment, profound history and culture, and a large number of universities are the most important motives for foreign students to study medicine in China. There are significant differences in …the motivations of international medical students from different genders, universities, and educational background to study abroad, and but there were no significant differences among students from different countries of origin. Show more

Keywords: Medical education, international student, motivation, study in China

DOI: 10.3233/JIFS-189379

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3409-3419, 2021

Authors: Liu, Shuo | Wang, Jin

Article Type: Research Article

Abstract: Based on the analysis of the artificial intelligence education informatization teaching model for the training of ice and snow talents, this article first builds an artificial intelligence education informatization teaching model, reads and organizes a large number of documents such as big data and personalized teaching of ice and snow talent training. It needs to analyze the existing problems and condense the relevant concepts of educational big data, personalized teaching. We personalized teaching systems based on big data and elaborate on the related theoretical basis. It constructed a visual analysis framework for artificial intelligence teaching data, discussed the realization process …and mechanism of data visualization of mixed ice and snow talent cultivation from the two dimensions of timeliness and media form, and introduced the mixed data of numerical and text for visual processing methods. We discussed the interactive presentation process of the visualization results. The research explores the impact of artificial intelligence on the elements of ice and snow talent training instruction design one by one and uses the paradigm migration analysis framework to prove that the ice and snow talent training instruction design paradigm in the context of artificial intelligence has produced a migration. Show more

Keywords: Bingxue talent training, artificial intelligence, education informatization, model construction and analysis

DOI: 10.3233/JIFS-189380

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3421-3431, 2021

Authors: Chen, Changxiang | Zhou, Qian

Article Type: Research Article

Abstract: The quality of Physical Education (PE) education in high schools is closely related to interactive educational efficiency in classrooms. Teachers and students can improve their interest in learning through classroom interaction. Teachers can adjust educational programs according to the existing shortcomings of physical education, stimulate students’ interests in sports, and reduce student tensions and learning pressures. Students can increase their enthusiasm and creativity in sports, thereby enhancing students’ sports skills. Therefore, in a practical teaching process, it’s important to emphasize enhancing the effectiveness of interactive instruction in the classroom. This makes it possible to develop sports instruction. This paper analyzes …how to effectively improve the effects of classroom interactions in a lower secondary school, and proposes a concrete teaching method for physical education. First, this paper explains the importance of improving the effectiveness of classroom education for junior high school students, and analyzes the present state of PE classroom education, and proposes an improvement strategy including physical education, and rationalizes students’ physical and mental development to stimulate students’ interest in sports. The classroom is innovative education and means that students improve their classroom enthusiasm. Show more

Keywords: Image retrieval, personalized image annotation, multi-source data fusion, video images

DOI: 10.3233/JIFS-189381

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3433-3444, 2021

Authors: Fei, Xue

Article Type: Research Article

Abstract: With the development and application of Web Semantic, users are no longer satisfied with basic metadata descriptions such as titles and link texts and string-matching search results. They hope that the resource description can provide the theme ideas, topics, and topics involved in the resource. Potential semantic information contains documents such as teaching methods and knowledge-concept relationships. This research starts from the demand for semantic annotation of resources in the process of resource library construction and sharing, and uses the LDA model to semantically model the document resources in the resource library to mine potential topics in the document. From …“document-topic-keyword” scheme, the semantic description of teaching resources at different levels enriches the metadata attributes and content of resources, and adds more related topics and corresponding keyword descriptions related to disciplines, teaching content, teaching methods, etc., providing resource retrieval and sharing. The experimental results show that the LDA model can catalogues teaching resources from a macro perspective, and model LDA on teaching subject resources of the same teaching content. It can mine the inherent semantic topic features and detailed differences of resources. The final performance analysis verifies LDA’s advantages of the model in parallel computing in the big data environment. Show more

Keywords: LDA model, Web English education, teaching resources, semantic annotation

DOI: 10.3233/JIFS-189382

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3445-3454, 2021

Authors: Hui, Wang | Aiyuan, Li

Article Type: Research Article

Abstract: This paper algorithms based on neural network model designed for English education, to develop a model education system with artificial intelligence, summarized the dimensions were can be used for data analysis related indicators. These indicators include not only the contents of the learning behavior, test behavior, cooperation behavior and resource search behavior and other human-computer interaction behavior data, also includes demographic background information, learning ability, learning attitude, and other characteristic data that affect the learning effect. We tried to collect relevant indicators to the maximum extent. An audiovisual fusion method based on Convolutional Neural Network (CNN) is proposed. The independent …CNN structure is used to realize independent modeling of audiovisual perception and asynchronous information transmission and obtain the description of audiovisual parallel data in the high-dimensional feature space. Following the shared fully connected structure, it is possible to model the long-term dependence of audiovisual parallel data in a higher dimension. Experiments show that the AVSR system built using a CNN-based audiovisual fusion method can achieve a significant performance improvement, and its recognition error rate is relatively reduced by about 15%. The speech recognition system trained with the cross-domain adaptive method can obtain a significant performance improvement, and its recognition error rate is more than 10% lower than that of the baseline system.. Show more

Keywords: neural network, artificial intelligence, English education, model system

DOI: 10.3233/JIFS-189383

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3455-3466, 2021

Authors: Lilingling,

Article Type: Research Article

Abstract: With the continuous development of society, work pressure and study pressure are increasingly becoming the key factors affecting people’s physical and mental health, especially for college students, good knowledge and skills as well as superior psychological quality are the important factors for them to become excellent talents. As an important factor affecting people’s psychological quality, mental health has been paid more and more attention by people. The effect of traditional mental health education in daily education activities is not very obvious, which cannot achieve a profound impact on people’s mental health training and development. In this paper, based on the …artificial intelligence online technology, an expert system of mental health education and daily consultation is designed. The system mainly integrates four application modules: psychological knowledge learning, psychological daily evaluation, psychological expert consultation and personal personalized management. The experiment shows that the artificial intelligence online expert consultation system designed in this paper can query daily psychological problems conveniently and quickly. At the same time, the treatment of human psychological problems can be realized through the intelligent online psychological counselling and the relief of psychological symptoms. The artificial intelligence online mental health education system has obvious practical value and social significance. Show more

Keywords: Artificial intelligence online, mental health education and teaching, mental health expert consultation and treatment system, psychological evaluation and evaluation, mental disease treatment, psychological knowledge and personalized management

DOI: 10.3233/JIFS-189384

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3467-3476, 2021

Authors: Wang, Yuzhe

Article Type: Research Article

Abstract: As an inevitable trend in the development of English teaching, English distance education needs to use artificial intelligence to control the classroom, so as to improve the degree of control of teacher over the classroom. Based on the machine learning algorithm, according to the needs of English distance education classroom management, this paper builds an English distance education classroom management system based on improved machine learning artificial intelligence algorithms. Moreover, this research constructs the system function module through requirement analysis, and combines the positioning algorithm to locate students in real time. In addition, this study analyzes the students’ status through …intelligent database processing to grasp the students’ learning status in a timely and effective manner. In order to verify the performance of this system, this study verifies the performance of the model by means of comparative experiments. The research results show that the system constructed in this paper has a certain effect. Show more

Keywords: Artificial intelligence, machine learning, improved algorithms, English education, classroom management

DOI: 10.3233/JIFS-189385

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3477-3488, 2021

Authors: Shen, Lin

Article Type: Research Article

Abstract: This article first studies and designs the college English test framework and performance analysis system. The author analyzes a large number of data collected by the system in three dimensions: using data mining title association models, using machine learning to merge college English score prediction models, and finally diagnosing on the basis of the sexual evaluation model, the author designed and implemented a test paper algorithm based on the association rules of the question type, and carried out relevant verification from the three aspects of test paper time, test question recommendation and improvement according to scores. Finally, according to the …needs analysis, the author uses the diagnostic evaluation model and related test paper algorithm to design and implement the diagnostic evaluation model, which is added to the college English diagnostic practice system. It can be obtained through comparative experiments that the paper-based algorithm based on the diagnostic evaluation model proposed in this paper can effectively give better practice guidance and test question recommendation to the learner’s learning status and knowledge point problem obstacles, and can effectively improve learning. The achievements of the authors have broad application prospects and research value. Show more

Keywords: Data mining; artificial intelligence, testing framework, performance analysis

DOI: 10.3233/JIFS-189386

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 3489-3499, 2021