Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Song, Chunhuan | Qian, Fucai

Article Type: Research Article

Abstract: With its unique array arrangement, the detection system radar has both space diversity gain and waveform diversity gain, and is currently recognized as a stealth target buster. The detection system radar is applied to a high-speed moving platform. Using distributed cooperative detection technology, non-coherent fusion detection based on signals can further improve the detection of stealthy targets. Aiming at the high-speed motion radar signal processing algorithm, this paper mainly studies the following three aspects: the first content is the analysis of the waveform characteristics: the basic principles and characteristics of the radar are explained; then the three orthogonal waveforms commonly …used in the radar are introduced, including Stepwise frequency division chirp signal, quadrature phase coded signal and mixed-signal; the second content detects radar targets and analyzes the correlation between the scattering coefficients of different radar channels; for scenarios where the scattering coefficients between the channels are non-coherent Introduced two kinds of non-coherent fusion detectors based on generalized likelihood ratio algorithm: centralized detector and double threshold detector; the third content radar multi-target pairing is aimed at the problem of radar multi-target pairing with large inertial navigation error. A multi-target pairing algorithm that uses target delay information and combines the radar’s multi-channel information redundancy characteristics is presented. An expression for judging the correctness of target pairing is derived, and the target pairing steps are given. The relationship between the amount of algorithm operation and the number of radar stations and the number of targets is analyzed in conclusion. Show more

Keywords: High-speed motion platform, generalized likelihood ratio based, orthogonal waveform, non-coherent fusion detection

DOI: 10.3233/JIFS-189442

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Wang, Yu | Lian, Zhengmei | Zou, Jihua

Article Type: Research Article

Abstract: The main reason that hinders early treatment of ACS patients is delayed patient decision-making (PD). In order to explore the delay factors of patients with ACS, this paper builds a machine learning-based analysis model of delay factors for patients with acute coronary syndrome based on machine learning. Moreover, this paper combines structural equations to analyze the factors affecting accidents, and uses the generalized ordered logit model in statistics and the popular random forest model in machine learning to establish the analysis models of the delay factors of acute coronary syndromes, and analyze the functional structure of the models. In addition, …this paper obtains data through actual survey methods, and analyzes the data through the model constructed in this paper to explore the risk factors that affect the delay in seeking medical treatment, which is presented through charts. The research results show that the model constructed in this paper is more reliable and can be applied in practice. Show more

Keywords: Machine learning, mountain area, acute coronary syndrome, delay in seeking medical treatment, factor analysis

DOI: 10.3233/JIFS-189461

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Servin, Christian | Kosheleva, Olga | Kreinovich, Vladik

Article Type: Book Review

DOI: 10.3233/JIFS-189414

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-2, 2020

Authors: Lang, Kun | Zhao, Yuxin

Article Type: Research Article

Abstract: In recent years, with the change of people’s living habits, food delivery has become more and more popular. Along with this is the rapid growth of takeaway distribution. It is significant to improve the accurate prediction of the take-out order quantity since it can reduce unnecessary losses for the merchants. The Cloud computing system is the main platform for processing massive data. Applying cloud computing resource scheduling to the forecasting of takeaway orders will greatly help merchants. The research purpose of this paper is to study the cloud-computing resource scheduling based on improved ANN model takeaway order volume prediction. This …paper improves the ANN model and proposes a cloud computing resource scheduling method based on improved ANN model takeaway order volume prediction. An experimental test was performed to verify the reliability of the proposed method. The results of this study show that the proposed method can accurately predict takeaway orders and contributes to reasonable resource scheduling. Show more

Keywords: Improved ANN model, cloud computing, resource scheduling, takeaway order volume prediction

DOI: 10.3233/JIFS-189430

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Ravuri, Viswanadham | Terlapu, Sudheer Kumar | Naik, S.S.

Article Type: Research Article

Abstract:  Now-a-days due to advancements in technologies most of the applications in signal processing were using the models based on the sparse signal. Sub optimal strategies were used in these models to estimate the sparsest coefficients. In this work various algorithms were analyzed to address its optimal solutions. The sparsest solution can be found for the linear equations which are under determined. In this work, a complete study is carried out based on Compressive Sensing Matching Pursuit Back Tracking Iterative Hard Threshold (CMPBIHT) algorithm in the real-world scenario. As the BIHT algorithm may often fail to converge and its performance seems …to be degraded if the conditions fail. To address these challenges, we have modified the BIHT algorithm to guarantee the convergence using the proposed method, even in this regime. Further the proposed CMPBIHT algorithm is evaluated and compared with the state of art techniques and it is observed that the proposed algorithm retains the similarities of the original algorithm. In this proposed model we have adopted the Compressive Sensing (CS) schemes along with Orthogonal Matching Pursuit (OMP). With this proposal we are able to solve the least squares problem for the new residual. We also investigated the reliability in sparse solutions along with compressive sensing techniques while decoding and over complete representations. An extensive research is carried out at the reconstruction side with the fundamental theme of CS, IHT and OMP techniques. The simulation results perform better efficiency at the reconstruction of the Gaussians signals by guaranteeing the productions in the residual error and noise. Further the proposed algorithm performs better at the reconstruction with nominal complexity in each of the iteration computationally. Show more

Keywords: Compressive sensing, sparsity, thresholding, reconstruction, matching pursuit

DOI: 10.3233/JIFS-189417

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Lu, Zhengjie

Article Type: Research Article

Abstract: In this paper, a two-degree-of-freedom manipulator is taken as the research object, and the relevant dynamic model is established, the iterative learning controller is designed, and the trajectory tracking control of the manipulator is carried out by using the iterative learning control algorithm. Iterative learning control (ILC) has a better control effect on a two-degree-of-freedom manipulator with repetitive motion characteristics for its non-linear system. In the case of disturbance, a PD-type iterative learning control law is designed. With the increasing number of iterations of the system, the required correction interval is shortened by modifying the gain matrix in real time …in the interval, so as to accelerate the convergence speed. The simulation results show that the convergence speed of PD-type ILC is faster than that of P-type ILC, and the convergence effect of PD-type ILC with disturbance is better than that of traditional disturbance-type ILC. The industrial robot system is guaranteed to have good dynamic performance. Show more

Keywords: Two-degree-of-freedom manipulator, PD learning law, iterative learning algorithm

DOI: 10.3233/JIFS-189427

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Xiong, Shuiping

Article Type: Research Article

Abstract: In order to improve the modulation recognition algorithm effect of an optical communication system, an improved modulation recognition algorithm technology based on wavelet transform on the time-varying optical communication system is designed. Firstly, considering the time-varying effect of noise on the communication system, wavelet transform is introduced to pre-process the signal of the optical communication system, extracting the characteristic number of modulation recognition of optical communication system, and a classifier of modulation recognition is established by data mining technology to realize modulation recognition technology of optical communication system. Finally, several typical modulation modes of the optical communication system are tested …by simulated experiments. In this paper, several typical modulation modes are identified accurately, and real-time on-line analysis of modulation recognition is realized. In the optical communication system, the recognition accuracy of the modulation pattern is higher than other modulation recognition technologies, which has high practical application value. Show more

Keywords: Optical communication, time-varying characteristics, modulation recognition, pattern recognition

DOI: 10.3233/JIFS-189424

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Xu, Bing

Article Type: Research Article

Abstract: In the process of e-commerce transactions, a large amount of data will be generated, whose effective classification is one of current research hotspots. An improved feature selection method was proposed based on the characteristics of Bayesian classification algorithm. Due to the long training and testing time of modern large-scale data classification on a single computer, a data classification algorithm based on Naive Bayes was designed and implemented on the Hadoop distributed platform. The experimental results showed that the improved algorithm could effectively improve the accuracy of classification, and the designed parallel Bayesian data classification algorithm had high efficiency, which was …suitable for the processing and analysis of massive data. Show more

Keywords: E-commerce transactions, cloud environment, Bayesian algorithm

DOI: 10.3233/JIFS-189421

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Murali, K. | Siva Perumal, S.

Article Type: Research Article

Abstract: The Non-Orthogonal Multiple Access (NOMA) emerged as a latest solution to demand of high data rated with excellent reliability and robustness. In this paper, the performance analysis of the NOMA under fading channel is presented with emphasis on error rate calculations. In addition, the focus is on exploring the impact of various modulation techniques like binary phase shift keying (BPSK), Quadrature Phase Shift Keying (QPSK) and Generalized Space Shift Keying (GSSK). The simulation study has been performed on MATLAB tool and results are analyzed efficiently in the metrics of NOMA.

Keywords: NOMA, AWGN, 5G, BPSK, QPSK, and GSSK

DOI: 10.3233/JIFS-189416

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-6, 2020

Authors: Duan, Rongkai | Sun, Pu

Article Type: Research Article

Abstract: With the continuous innovation of science and technology, the mathematical modeling and analysis of bodily injury in the process of exercise have always been a hot and difficult point in the research field of scholars. Although there are many research results on the nonlinear classification of the basketball sports neural network model, usually only one model is used, which has certain defects. The combination forecasting model based on the ARIMA model and neural network based on LSTM can make up for this defect. In the process of the experiment, the most important is the construction of the combination model and …the acquisition of volunteer data in the process of the ball game. In this experiment, the ARIMA model is used as the linear part of the data, and LSTM neural network model is used to get the sequence of body injury. The results of the empirical study show that: it is reasonable to divide the injury of thigh and calf in the process of basketball sports, which is very consistent with the force point of the human body in the process of sports. The results of the two models predicting the average degree of bodily injury for many times are about 0.32 and 0.38 respectively, which are far less than 1. The execution time of the program for simultaneous prediction on the computer is about 1 minute, which is extremely effective. Show more

Keywords: Nonlinear classification, neural network, radial basis function, time-series model, basketball

DOI: 10.3233/JIFS-189431

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Weiqi, Wang | Yanmei, Zhang | Shouyi, Sun | Guoqiang, Xiao

Article Type: Research Article

Abstract: A dynamic diagnosis system of mine safety based on multi-data fusion is designed by combining the advantages of cloud computing and the Internet of things. The system’s framework is built with a three-tier model, and the construction of the cloud computing service platform provides essential support for mass data storage, processing, and security diagnosis reasoning. Simultaneously, using the relational database SQL Server 2017 and the object-oriented language C# to complete the design of an expert knowledge base and reasoning mechanism, and establish the diagnostic scoring system in the way of weighted sum. Therefore, based on the logical matching and reasoning …between the collected data and the safety rules, the dynamic diagnosis of mine safety is realized. Show more

Keywords: Cloud computing, internet of things, expert knowledge base, reasoning mechanism

DOI: 10.3233/JIFS-189423

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Lin, Feiting

Article Type: Research Article

Abstract: The potato itself has high nutritional value, strong adaptability, long industrial chain and extremely stable yield. At the same time, due to the rich variety of processed products, the further improvement of China’s social and economic level is greatly strengthened. In February 2016, the Ministry of Agriculture issued guiding opinions on promoting the development of the potato industry, which took potato as the main food product for industrial development. The central government attaches great importance to the rapid development of the potato industry, but at the same time, it also exposes many problems, which affect the production and development of …the potato industry to a large extent. In order to change this problem, the relevant staff needs to strengthen the application of intelligent technology, so as to improve the level of potato production and processing and improve the competitive advantage of China’s potato industry. There are many types of research on the potato industry in China, but most of them focus on Cultivation and maintenance skills, and there is almost no research on market competition of agricultural products economic management based on the intelligent system. Based on the current situation of potato production in China, combined with the advantages of an intelligent system, this paper analyzes its competitive advantages and disadvantages from the perspective of economic management, and constructs the industrial competitiveness analysis model with the intelligent system as the core technology, and analyzes and discusses the adverse factors affecting the competitiveness. And from the perspective of international trade, the export competitiveness of China’s potato industry was analyzed. Finally, we collected Ximeng as the sample of this study and verified the core points of improving competitiveness from the research. In this paper, based on the intelligent system management of the potato planting industry on agricultural product economic management of market competition optimization research, to a certain extent, filled the domestic blank, has high research and promotion value. Show more

Keywords: Potato planting industry, intelligent system, agricultural product economic management, market competitiveness

DOI: 10.3233/JIFS-189433

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Tseng, Tsui-Yuan | Luo, Qinglan

Article Type: Research Article

Abstract: With the development of science and technology and the continuous improvement of people’s living standards, the traditional staff quality evaluation can no longer meet the needs of production and life, and the BP neural network has also appeared many shortcomings in practical applications. This article mainly studies the company’s employee quality evaluation model based on BP neural network. This article first collects and preprocesses employees’ usual performance data, and then predicts their corresponding quality scores based on BP neural network. And use MATLAB software to simulate the constructed prediction model, and finally develop a complete set of employee performance data …prediction system based on this model, so as to achieve the purpose of employee quality evaluation. The experimental data in this paper shows that the average relative error of model training output tends to be stable. After the 40th iteration of training, the average relative error of model training can reach 0.0128. After the prediction model training was completed, 15 sets of verification samples were used to verify the model. The verification results found that the average relative error of the model converged, so the model did not overfit. Experimental results show that although BP neural network has two excellent functions of adaptive and nonlinear approximation, it can solve the complex nonlinear relationship between normal performance and overall performance. But BP neural network still has its own inevitable shortcomings in some aspects. For example the redundancy between the employee scoring sample data; the problem that the input variable dimensionality is too high, which leads to the low efficiency of the model; the fuzzy neural network is easy to fall into the local optimum and it is difficult to find the global optimum. Show more

Keywords: BP neural network, employee quality evaluation model, fuzzy system, fit state, model simulation

DOI: 10.3233/JIFS-189428

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Yi, Jing | Liu, Peiyu | Wang, Zhihao | Liu, Wenfeng

Article Type: Research Article

Abstract: In the study filed of rumor spreading, kill rumor or dispel rumor is very important in order to control rumor spreading and reduce the bad influence of the rumor. In the previous studies, rumor clarification is mostly finished by relying on external media or news reports instead of intervening and controlling from inside the network, which causes that the speed of rumor clarification is far lower than the speed of rumor spreading, and it is not ideal for the effect of rumor clarification. In this paper, a new Twin-SIR spreading model is proposed, in which, a rumor clarification node named …as “rumor dispeller” with the spreading ability is introduced. The rumor dispeller is involved in the spreading process of the model together with the rumor spreader to control the spreading of rumor and thus to achieve the purpose of clarifying rumor. At the same time, during the process of building the model, we also apply the traditional media as a spreading parameter to the spreading process of the model. We built the mean-field equation of the model and then implemented further analysis of the model on homogeneous networks and heterogeneous networks. Through experimental simulations, the “rumor dispeller” was found to have the ability to reduce the spread of rumor spreading, and that the selection of the initial “rumor dispeller” node can affect the effect of rumor spreading, and at the same time, the external media have an important influence on rumor clarification. These conclusions have a new function for guiding us to study the mechanism of rumor spreading. Show more

Keywords: Online social network, spreading model, rumor dispelling, twin-SIR model

DOI: 10.3233/JIFS-189426

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Liu, YuHan

Article Type: Research Article

Abstract: Aiming at the problem that the current algorithm of lighting effect cannot achieve a good effect in 3D interior design, this paper proposes an algorithm based on multi algorithm fusion to realize lighting effect in 3D interior design. The algorithm first optimizes the intersection of patch, sphere and rectangle based on ray tracing algorithm, and then optimizes the optimization algorithm and the algorithm of lighting shadow at the same time, it is applied to the realization of lighting effect of 3D interior design. The simulation results show that the algorithm based on multi algorithm fusion is more ideal for the …realization of 3D interior design lighting effect than the existing algorithm. Show more

Keywords: Interior design lighting effect, ray tracing algorithm, intersection optimization, lighting shadow algorithm

DOI: 10.3233/JIFS-189418

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Chen, Zhuo | Chen, Ruoxi | Chen, Songtao

Article Type: Research Article

Abstract: With the development of urbanization, the application of GIS technology is more and more extensive. This study mainly discusses the development of urban planning intelligent management information system based on GIS. To design and build a rule-detailed spatial data model, provide the physical model and the data model corresponding to the logical layer from top to bottom in all steps, based on the attribute information stored in the Geodatabase model. According to the parameters set, connect to the database through the Oracle Connection class. The defined query criteria are converted into SQL statements that are executed using the Oracle Command …class. Multi-source data integration middleware integrates various data formats with a GIS software format conversion tool or direct reading tool and then uses the geometric encoding semantics of data dictionary to represent the integrated data of system data model after merging. Property queries use the interactive search function for properties and spatial information to query the land use index for a particular area of the chart. If there is a scene roaming request from the input device, the 3D scene needs to be adjusted according to the input. Display the scene effects of a 3D virtual demonstration on a computer monitor. Start the GIS management operation function to deal with the case, and realize the user’s management of the urban planning system function with the concept of stratification. Fuzzy recognition mode is applied to identify the degree of the environmental impact of eco-city planning. The impact of urban planning on the environment is H ≈ 0.11 (0.1 <  H <  1), which meets the expected standard. The results show that the system demand evaluation designed in this study is good, and the overall operation of the system is relatively stable, which plays a promoting role in urban planning. Show more

Keywords: GIS technology, urban planning, intelligent management, system research

DOI: 10.3233/JIFS-189440

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Xu, Xia

Article Type: Research Article

Abstract: The current network environment is dynamic, open and extensible. In order to better ensure the needs of users, higher requirements are placed on link resource allocation. Based on the research and analysis of the instant communication protocol, this paper studies an intelligent routing evolution algorithm and related fault recovery strategy for the instant communication network. Research on instant messaging intelligent algorithms for routing evolution is mainly based on routing algorithms and artificial intelligence intelligent algorithms. When a link failure occurs in the communication network, the routing algorithm performs route reconstruction and optimization on the entire instant communication network. Considering that …there may be evolutionary needs of large-scale routing networks in practical applications, this paper introduces artificial intelligence intelligent algorithms to optimize intelligent algorithms to improve efficiency. A cognitive routing protocol based on MIMO (Multiple Input Multiple Output) technology is proposed. By using MIMO technology, a lot of gain is brought to the communication link under multiple antennas. These gains correspond to different link types. The protocol realizes cognition through intelligent routing evolution algorithm and predicts the state of the network. Setting the routing life and hello period according to the perceived network status can optimize the performance of the network. Show more

Keywords: Instant messaging, network link optimization, intelligent routing evolution algorithm, CRMA routing protocol

DOI: 10.3233/JIFS-189450

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Ruan, Kun | Li, Yuan

Article Type: Research Article

Abstract: Using the theoretical knowledge of ergonomics, physiology, and psychology, carried out the humanized design of human body adaptive sports equipment; using the theoretical knowledge of modeling, color, material science and other related disciplines, proposed the human body adaptive sports equipment Humanized design method. Aiming at the fuzziness of the industrial design of human adaptive sports equipment, fuzzy mathematics theory is used as an analysis tool, combined with the actual characteristics of the industrial design of human adaptive sports equipment, focusing on the nature of industrial design under fuzzy theory. Comprehensive analysis and understanding of design-related factors, and the introduction of …expert survey method in the case of no basic data source in innovative design, to obtain the weight value of single factor influence, this will help designers grasp the main contradiction, achieve a targeted, and Solve key problems with higher efficiency. Subsequent use of fuzzy mathematics tools to put forward a quantitative index for the selection of options, which will help analyze the pros and cons of the various options, so as to provide a reliable reference for decision makers. This method makes up for the shortcomings of traditional methods in the process of design factor analysis and program selection. Show more

Keywords: Human body adaptation, sports equipment, industrial design, fuzzy mathematics

DOI: 10.3233/JIFS-189449

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Cui, Di

Article Type: Research Article

Abstract: Image segmentation is very important for various fields. With the development of computer technology, computer technology has become more and more effective for image segmentation, and it is studied on the basis of partial differential equations. The curve representation method in plane differential geometry is expounded, with the SegNet-v2 segmentation model analyzed and tested in medical image segmentation. The test results show that the partial differential equation image segmentation algorithm can achieve more accurate segmentation, especially in medical image segmentation, which can achieve good results, and it is worth in practice to further promote.

Keywords: Partial differential equation, image segmentation, algorithm analysis

DOI: 10.3233/JIFS-189434

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Sun, Tingting | Lv, Xingjun | Cai, Yakun | Pan, Yuqing | Huang, Jianchang

Article Type: Research Article

Abstract: The thesis starts with the connotation and attributes of software testing quality, introduces software testing quality evaluation methods, and analyzes and discusses software testing quality evaluation models based on fuzzy mathematics theory. Focusing on the key technical problems of software testing quality, discuss the key technologies to solve the software testing quality evaluation model establishment. Through the use of fuzzy models, the cost of software testing quality evaluation is effectively reduced, and the reliability of software testing quality evaluation methods is improved. This model can quickly evaluate the quality of software testing, can avoid the occurrence of local maxima, overcome …the shortcomings of existing evaluation models and tools, and can correctly reflect the relationship between the internal and external properties of the software. Using the new software testing quality evaluation method, comparing the evaluation models and tools used before, summarizing the methods of software testing quality improvement. The application of these methods effectively improves the software testing quality. Show more

Keywords: Fuzzy mathematics, fuzzy evaluation, software quality, test quality

DOI: 10.3233/JIFS-189451

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Xie, Yun

Article Type: Research Article

Abstract: The urban rail transit power supply system is an important part of the urban power distribution network and the power source of the rail transit system. It is responsible for providing safe and reliable electrical energy to urban rail trains and power lighting equipment. This paper processes the obtained long-period rail transit power load learning sample data matrix, according to the principle of normalization processing, effectively eliminates irregular data in the sample set and fills in possible missing data, thereby eliminating bad data or fake data for model learning. Moreover, this avoids the generation of huge errors that cause exponential …growth in the model due to the increase in the learning sample size and the irregularity of the data. According to the characteristics of power load, this paper comprehensively considers the influence of temperature and date type on the maximum daily load, applies the fuzzy neural network model to the long-period load forecasting of long-period rail transit, and introduces the whole process of establishing the forecasting model in detail. Through detailed analysis of the actual data provided by the EUNITE network, the relevant factors affecting the daily maximum load were determined, and then the appropriate fuzzy input was selected to establish the corresponding fuzzy neural network prediction model, and a relatively ideal prediction result was obtained. The experimental results fully proved the great potential of fuzzy neural network in long-term power load forecasting. Show more

Keywords: Power load forecasting, fuzzy neural network, fuzzy logic, rail transit

DOI: 10.3233/JIFS-189446

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Wang, Ruijuan | Zhuo, Wei

Article Type: Research Article

Abstract: The image intelligent processing analysis technology uses a computer to imitate and execute some intellectual functions of the human brain, and realizes an image processing system with artificial intelligence, that is, an image processing analysis technology is an understanding of an image. The degree of intelligent automated analysis and processing is low, many operations need to be done manually, causing human error, inaccurate detection, and time-consuming and laborious. Deep learning method can extract features step by step in the original image from the bottom to the top. Therefore, based on feature analysis technology, this paper uses the deep learning method …to intelligently and automatically analyse the visual image. This method only needs to send the image into the system, and then the manual analysis is not needed, and the analysis result of the final image can be obtained. The process is completely intelligent and automatically processed. First, improve the deep learning model and use massive image data to choose and optimize parameters. Results indicate that our method not only automatically derives the semantic information of the image, but also accurately understands the image accurately and improve the work efficiency. Show more

Keywords: Image intelligent, automatic processing analysis, deep learning

DOI: 10.3233/JIFS-189447

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Wang, Yingying | Zhang, Yongzhi

Article Type: Research Article

Abstract: Tennis is a set of sports and entertainment and a sports activity, since 2014, tennis in China has been another rapid development. With the development of economy and technology, tennis training mode has been further optimized and reformed. At present, tennis training robot is the mainstream way to train athletes. However, there are some defects in the current tennis training robots, such as the low accuracy of human motion real-time evaluation, and the lack of stability. Therefore, this paper puts forward the related research on the real-time evaluation algorithm of human motion in tennis training robots, hoping to make up …for the deficiency in this field. 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 the existing technology. The second part is the related basic theory research; this part deeply studies the core theory of tennis training and intelligent training robot, which provides a theoretical basis for the realization of the optimization scheme. The third part is the design and implementation of a real-time human motion evaluation optimization algorithm for tennis training robots. At the end of the paper, that is, the fourth part, through the way of field test and investigation, further proves the superiority of the improved real-time evaluation algorithm of human movement. The algorithm has good stability and accuracy and can meet the existing tennis training requirements. Show more

Keywords: Tennis training, artificial intelligence, intelligent robots, motion capture

DOI: 10.3233/JIFS-189444

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Liu, Shuqiang | Zhao, Dawei

Article Type: Research Article

Abstract: In general, there are a lot of uncertainties in uncertain information, natural language, and human knowledge. The conclusion can be better deduced by using an approximate reasoning method, while a fuzzy intelligent system can deal with uncertain data and rule evaluation information systems. In order to better explore diffusion and economic growth, this paper constructs a fuzzy intelligent system based on the DSGE model and uses this system to analyze diffusion and economic growth. In order to verify the feasibility of this system, we test the response time and accuracy of the system. In addition, we also use the system …to simulate diffusion and economic growth. The results show that with the increase of the task amount, the gap between the actual response time and the expected response time of the fuzzy intelligent system based on the DSGE model increases. When the task quantity is 20, the expected response time is 2.31 and the actual response time is 2.24. When the task quantity is 40, the expected response time is 2.5 and the actual response time is 2.36. The larger the task quantity is, the faster the response time of a fuzzy intelligent system based on the DSEG model is. Therefore, the fuzzy intelligent system based on the DSEG model has good performance and can analyze diffusion and economic growth well. Show more

Keywords: DSGE model, fuzzy intelligence system, system performance, diffusion, and economic growth

DOI: 10.3233/JIFS-189437

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Wu, Manxia | Wang, Wen | Han, Rui

Article Type: Research Article

Abstract: A large number of high slopes will be formed in the construction of expressways in many mountainous areas, which is very unfavorable to the construction of local expressways. Effective monitoring methods are essential to solving these problems, and the Internet of Things technology is a good dynamic monitoring method. Therefore, it is necessary to carry out research on the dynamic monitoring system of rock and soil high slope based on the Internet of Things perception. The purpose of this article is to solve the problem of dynamic monitoring of high slopes, taking highway slopes in Chongqing as an example, making …full use of the literature method, field investigation method, regression analysis method, time series analysis method, and theoretical analysis method. Through real-time monitoring of the entire process of rock and soil high slope construction in different locations in a certain area in the southwest, and continuously adjusting and verifying the monitoring situation and solving related problems, the high slope instability at this point was accurately monitored And at any time find the weak links in the construction process of high slopes, and further find its potential quality and safety risks, and then establish a comprehensive monitoring system and early warning system. The research results show that this comprehensive monitoring and early warning system improves the accuracy of early warning and monitoring from qualitative judgment to quantitative analysis and from macro to micro monitoring, and can provide a reference for other types of projects. Show more

Keywords: Internet of things, high slope, dynamic monitoring, geotechnical environment

DOI: 10.3233/JIFS-189435

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Li, Chunya | Li, Yan

Article Type: Research Article

Abstract: This paper establishes a theoretical model of third-party mobile payment user satisfaction based on the ASCI model and proposes research hypotheses. Then, the questionnaire survey method is used to collect sample data and carry out reliability and validity test. After the test is passed, structural equation modeling (SEM) is used to verify the research model and hypothesis. Finally, the analysis concludes: perceived quality and perceived value will have a positive impact on user satisfaction; user expectations will affect user satisfaction through perceived quality and perceived value; the impact of perceived risk on user satisfaction is not obvious. Propose reasonable suggestions …for third-party mobile payment companies based on the research conclusions. Show more

Keywords: Third-party mobile payment, internet of things, structural equation model (SEM)

DOI: 10.3233/JIFS-189425

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Pan, Dongyang | Liu, Jingrui

Article Type: Research Article

Abstract: Mechanical biology is the study of the influence of the mechanical environment on human health, disease, or injury. To study the mechanism of the organism’s perception and response to mechanical signals can promote the development of biomedical basic and clinical research, and promote human health. The purpose of this paper is to study the mathematical modeling method of the effect of multimodal mechanical signals on cell stretching and compression. This article first established a cell mechanics model based on the generalization of membrane theory, introduced the micro-manipulation techniques used to characterize cell mechanics and the method of cell mechanics loading, …and then explained why mathematical modeling was established. Finally, according to the multi-modality During the mechanical preparation process, the effects of multi-modal mechanical signals on the stretching and compression of annulus fibrosus stem cells were studied. The experimental results in this paper show that after planting fibrous stem cells with different elastic modulus, the cell proliferation is obvious after the tensile mechanical stimulation of different conditions, and the different elastic modulus scaffolds are stimulated by the tensile mechanical stimulation of 2% tensile amplitude. The cell morphology is different. The low elastic modulus is round-like, and the high elastic modulus is fusiform-like. After 5% and 12% stretch amplitude, the cells are oriented at different elastic modulus. Arranged, there is no obvious difference in cell morphology. Show more

Keywords: Multimodal mechanical signals, cell stretching and compression, mathematical modeling methods, cell biomechanics

DOI: 10.3233/JIFS-189422

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Qian, Yu

Article Type: Research Article

Abstract: With the development of wireless sensor technology, more and more fields are applied to wireless sensor technology, and the design and implementation of the flight scene system are in it. The purpose of this study is to design and implement a flight visual simulation system using sensor technology and QAR data. The method of this study is to first establish the mathematical model of the aircraft and then calculate the aerodynamic force and torque of each part of the aircraft respectively to obtain the nonlinear dynamic model of the aircraft, and finally realize the whole simulation model on the MATLAB …platform. The results show that the main motion variables corresponding to the conjugate complex root (0.0530.287i) are the velocity and pitch angle of the aircraft, and they all change slowly and long period. The period is 21.9 seconds, and the frequency doubling time (LN2 / 0.053 + 0.287i) is 11.0 seconds, which meets the requirements of flight quality specification. It is concluded that the flight visual simulation system in this study can well describe the flight trajectory and observe the external scene. The simulation system uses computer graphics and image technology to realize real-time and accurate simulation and reproduction of the flight status and trajectory of the aircraft, which can provide an intuitive and convenient simulation analysis method for the exploration of new aerospace technology and engineering design. Show more

Keywords: Sensor technology, QAR data, flight visual system, simulation design

DOI: 10.3233/JIFS-189429

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Duan, Zhimei | Yuan, Xiaojin | Zhu, Rongfei

Article Type: Research Article

Abstract: Harmonic pollution and reactive power consumption are the two most important factors affecting power quality. Power electronics, as the largest harmonic source, will produce a large number of harmonics while running, and will also lose reactive power, reduce the power factor of the system and affect power quality. Firstly, the current situation of reactive power and harmonic suppression based on fuzzy control is briefly introduced. Then, the harmonic component and power factor of the power grid are taken as two objective functions to model the power grid. The improved particle swarm optimization (PSO) genetic algorithm is used to establish the …harmonic suppression and reactive power compensation model. To improve the design efficiency, aiming at the complexity of the algorithm and the field measurement data, the reactive power compensation device is quickly solved on the Hadoop cloud computing platform to achieve the global optimal compensation effect, to improve the convergence speed and global search ability of the particle swarm optimization algorithm. Thus, based on ensuring the power factor, the harmonic component is restrained and the safety and reliability of power grid operation are improved. Show more

Keywords: Harmonic suppression, reactive power compensation, cloud computing, parallelization

DOI: 10.3233/JIFS-189419

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Pei, Pei | Li, Yingji

Article Type: Research Article

Abstract: In recent years, Internet finance has developed rapidly in China, and has attracted more and more attention. With the rise of a variety of online payment, the development of traditional commercial banks has been seriously hindered, a large number of customer resources have been lost and reduced customer loyalty. Therefore, this paper studies how to improve customer loyalty in the context of Internet Finance and multimedia technology. First of all, based on multimedia technology and fuzzy concept, this paper designs and implements the bank customer management system based on multimedia technology and fuzzy concept; secondly, it constructs the corresponding evaluation …index system, and designs the relevant functions of the system according to the specific needs of customers; finally, the system is implemented by using spring open-source framework system, web, JSP, EAI and database technology. In the test phase, in order to test the performance of the designed customer management system, this paper constructs a test system. Through the customer experience of using the system and the performance of the new and old management system for comparative analysis of satisfaction, analysis of the advantages of this management system. Show more

Keywords: Multimedia, internet finance, customer loyalty

DOI: 10.3233/JIFS-189420

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Nicolas, Carolina | Gil-Lafuente, Jaime | Urrutia, Angélica | Valenzuela-Fernández, Leslier

Article Type: Research Article

Abstract: The aims of this study is to propose a model for managing customer experience analytics focused on value generated in an online market, this study to explore touch points experience, measured with conventional indicators and fuzzy indicators, using to a structural equation model analysis and Mamdani inference method. The investigation has delved deeper into the nature of the value of the experience construct, the results revealed of the empirical study confirm regarding how the experience value is related with the key touch points of the customer/company relationship. Very few studies in the reviewed literature about the conceptualization on customer interactive …experience focused on value generated in an online environment. This study becomes more relevant today, where, after the pandemic, the value of the online customer experience becomes more important. Show more

Keywords: Fuzzy key performance indicator, customer experience, text mining, fuzzy set, mamdani model

DOI: 10.3233/JIFS-189201

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2020

Authors: Fonseca-Cifuentes, Gina | León-Castro, Ernesto | Blanco-Mesa, Fabio

Article Type: Research Article

Abstract: This main aim of this paper is to propose a methodology for the prediction of the future price of the brown pastusa potato in Colombia, taking into consideration the variables of interest rate, as measured by fixed term deposits (FTDs), and inflation rate, as measured by the consumer price index (CPI). The methodology conducts linear regression analysis and assesses the results using the significance test, the Durbin-Watson statistic, analysis of the variance inflation factor (VIF) and the coefficient of determination. After that, the forecast of the independent variables has been conducted with the ordered weighted moving average (OWMA) operator and …new proposed OWA operators using probabilities that are presented in the paper. Using these new methods and the proposed econometric model, it is possible to establish future prices. The results show a greater impact of the interest rate than inflation, as well as the need to include supply and demand variables that have not been included due to the absence of systematic information. Show more

Keywords: OWMA operator, predicting, commodity, future price, FTD, CPI

DOI: 10.3233/JIFS-189200

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Perez-Arellano, Luis A. | Leon-Castro, Ernesto | Blanco-Mesa, Fabio | Fonseca-Cifuentes, Gina

Article Type: Research Article

Abstract: The main aim of this paper is to propose a new aggregation operator to improve the evaluation of the transparency index. This new operator is called the prioritized induced ordered weighted average weighted average (PIOWAWA) operator. The main characteristics of the PIOWAWA operator are that it allows considering the degree of importance, reordering and weight factors given to the information in the same formulation by the decision maker. A mathematical application is performed using a Colombia transparency case. The findings highlight that according to the operator used, there are significant changes in the ranking. The main implications are given by …using these aggregation operators for the generation of scenarios by considering the changes in the allocation of weights, the level of importance and the ordering of information simultaneously. Show more

Keywords: Transparency, OWA operator, Colombia, decision making, aggregation operators

DOI: 10.3233/JIFS-189190

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Avilés-Ochoa, Ezequiel | Flores-Sosa, Martha | Merigó, José M.

Article Type: Research Article

Abstract: Price volatility is a matter of importance for making decisions in the finance world. The growing studies regarding volatility have focused on minimizing the risks through modeling, estimating and forecasting. This paper presents a bibliometric overview of the most important authors, institutions and countries that work on the topic. Additionally, a historical analysis of how the agents have interrelated is presented. For the purposes of the analysis and the design of tables and graphics, tools from the Web of Science Core Collection and the VOSviewer software were used. The results show the importance of volatility in the study of business …economics and decision making. Show more

Keywords: Volatility, bibliometrics, Web of Science, VOSviewer

DOI: 10.3233/JIFS-189202

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Gao, Tianye | Liu, Jian

Article Type: Research Article

Abstract: The comprehensive indicators of the physical fitness of young athletes and the specific modes of transportation, working and leisure activities as explanatory variables are not in line with the normal distribution. Moreover, there is a high correlation between explanatory variables, and fitting traditional regression models does not meet the assumptions, and multiple collinearity problems will occur, and good results will not be obtained. The random forest regression model has excellent performance in overcoming these difficulties. Therefore, the random forest regression model is constructed to evaluate the impact of various factors on the physical fitness of young people. This paper studies …the impact of various factors on the health level of young people’s body and combines the source data and research goals to establish a comprehensive evaluation index system and an influential factor indicator system. In addition, this paper uses AHP to conduct comprehensive evaluation, and obtains the comprehensive physical quality of young people, and gives corresponding suggestions according to the actual situation. Show more

Keywords: Random forest, improved algorithm, adolescents, athletes, physical condition

DOI: 10.3233/JIFS-189206

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Pérez-Romero, Miriam Edith | Flores-Romero, Martha Beatriz | Alfaro-García, Víctor G.

Article Type: Research Article

Abstract: In the past two decades, research on tourism or destination competitiveness has incremented exponentially. The concept of improving the performance of a destination to deliver goods and services considered significant for tourists is highly appealing for policy and decision-makers. Therefore, analyzing the relation between some identified causes of destination competitiveness exert in touristic variables of a specific territory results relevant. The present work applies the theory of forgotten effects to identify the direct, moreover the indirect cause-effect relationship of the identified variables. Results show that the highest indirect effect is given by the variables hospitality and sustainable development, some other …interesting results are those found in causes, destination management, and accessibility; in effects, economic growth, and profitability. This work tries to shed light in the identification and initial measurement of the relevance that competitive variables has on a touristic destination. Show more

Keywords: Tourism competitiveness, destination competitiveness, forgotten effects, fuzzy logic

DOI: 10.3233/JIFS-189186

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Qianjing, Meng | Lin, Tang

Article Type: Research Article

Abstract: English reading plays an important role in promoting oral English and comprehensive English ability. At present, the traditional online reading mode is less effective. In order to change the shortcomings of traditional education, this article builds on the artificial intelligence algorithm and combines the spoken language spectrum algorithm to build the system. Moreover, this article combines with the actual needs to put forward endpoint detection and judgment criteria based on spectral entropy information, establishes a mathematical model of knowledge forgetting, and obtains an intelligent memory algorithm to guide students in personalized learning. In order to verify the effect of the …model, this article takes the students in the experimental class and the control class as the experimental objects and compares the spoken pronunciation of the students and the comprehensive English scores of the students after the experiment. The research results show that the artificial intelligence-based English multimodal online reading mode platform constructed in this article has certain effects and can effectively improve students’ English scores. Show more

Keywords: Artificial intelligence, English multimodal online reading, model construction, teaching model

DOI: 10.3233/JIFS-189406

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Lv, ZhiYuan | Shen, Hengyun

Article Type: Research Article

Abstract: In this paper, the mathematical model and algorithm based on knowledge forgetting curve are studied. Through the analysis of the current mathematical modeling and application of “knowledge forgetting curve”, the artificial intelligence method of fuzzy mathematics knowledge and differential modeling is adopted. This paper puts forward the mathematical model and algorithm design of the new “knowledge forgetting curve”, which aims to improve the intelligence of the software and bring a new learning experience for the teaching evaluation of the education system in colleges and universities. The fuzzy logic theory is applied to the teaching evaluation system of higher learning pedagogy, …according to pedagogy and other related theories, combined with the current teaching evaluation indicators of colleges and universities, the teaching evaluation indicators of higher learning education are set according to certain requirements. The sample wood data is divided into two parts by using the fuzzy logic principle, and the training model is obtained by training the sample data in the evaluation system, and the training model is used to intelligently evaluate and analyze the prediction data. Show more

Keywords: Teaching evaluation, fuzzy logic, artificial intelligence, knowledge forgetting curve

DOI: 10.3233/JIFS-189387

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

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. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Yin, Yamei

Article Type: Research Article

Abstract: The teaching evaluation index system based on artificial intelligence not only evaluates and reflects the teaching situation of ideological and political theory courses in universities as a whole, but also provides specific feasible goals and direction guidance for the construction of ideological and political theory courses in universities. Based on data mining technology, this paper combines machine learning algorithms and dimensional analysis to study the ideological and political evaluation model of colleges and universities and builds an artificial intelligence teaching evaluation model based on actual needs. Moreover, this study transforms the model selection problem into a hybrid optimization algorithm optimization …problem, and the algorithm attempts to find the optimal model from the model set. In addition, this study designs a control experiment to perform model performance analysis. The results of the study show that the performance of the model meets the expected goals and can be applied to practice. Show more

Keywords: Data mining, artificial intelligence, ideology and politics, teaching evaluation

DOI: 10.3233/JIFS-189403

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Xia, Yuejun

Article Type: Research Article

Abstract: Artificial intelligence model combined with data mining technology can mine useful data from college ideological and political education management, and conduct process evaluation and teaching management. Therefore, based on the superiority of data mining technology and artificial intelligence system, this paper improves the traditional algorithm and constructs a university ideological and political education management model based on big data artificial intelligence. Moreover, this study uses a local sensitive hash function to generate representative point sets and uses the generated representative point sets for clustering operations. In order to verify the performance of the algorithm model, a control experiment is designed …to compare the algorithm of this paper with traditional data mining methods. It can be seen from the research results that the algorithm model constructed in this paper has good performance and can be applied to practice. Show more

Keywords: Big data, data mining, ideology and politics, education management

DOI: 10.3233/JIFS-189411

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Wu, Rong | Xu, Jian | Qian, Ping

Article Type: Research Article

Abstract: Based on the existing literature review and background analysis, the article first expounds the theoretical basis, realistic basis, main principles and links of the situational inquiry method applied to the research teaching of ideological and political courses, and combines teaching practice Interviews and investigations conducted an in-depth analysis of the current situation of the application of situational inquiry methods in the research teaching of ideological and political courses. Through inquiry analysis, it summarizes a series of positive effects of the situational inquiry method in the research teaching of ideological and political courses, such as enriching the teaching methods and enhancing …the fun of the classroom; improving the effectiveness of classroom teaching and enhancing the comprehensive quality of students; promoting the professionalism of teachers Development, teachers’ teaching literacy. At the same time, it also found some problems to be solved urgently, such as insufficient participation of teachers, insufficient enthusiasm of students, chaotic and disorderly classroom teaching process caused by random arrangement, and difficulty in application caused by the limitations of situational inquiry method itself. Secondly, based on the analysis of the existing problems, it is proposed to strengthen the continuing education of teachers and promote teachers ’"one specialty and multiple abilities"; create a good atmosphere and improve students’ classroom participation; optimize the teaching process and generate charming classrooms; adhere to appropriate use and other teaching The combination of optimization methods such as the combination of methods is aimed at further optimizing the effective use of situational inquiry methods in the research teaching of ideological and political courses, and further improving the effectiveness of classroom teaching. Show more

Keywords: Situational inquiry method, ideological and political lesson, research teaching, situational teaching model

DOI: 10.3233/JIFS-189398

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Wu, Daili | Shen, Hengyun | Lv, Zhiyuan

Article Type: Research Article

Abstract: With the high speed developing technologies of artificial intelligence technology and Internet multimedia, the environment of social public opinion tends to be complex, which puts forward new challenges to the ideological and political education (IPE) of colleges and universities (IPECU) as well as the innovation and entrepreneurship education (IEE) of college students. Under the platform of artificial intelligence and multimedia teaching, the integration of IPE and IEE of college students should be adjusted appropriately according to the actual situation. The goal, content and mode of college students’ IEE and IPE have natural commonality under the platform of artificial intelligence and …multimedia teaching, and they promote and influence each other. This paper is to further explore the integration strategy of artificial intelligence and multimedia teaching in IPECU of entrepreneurship education through the analysis of the existing problems and causes in colleges and universities. The author summarizes the core coupling of the current situation of IPECU in entrepreneurship education, as well as the influencing factors of the external environment, and puts forward the corresponding countermeasures. Show more

Keywords: IPECU, artificial intelligence technology, multimedia teaching platform, IEE, integration path

DOI: 10.3233/JIFS-189410

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Peng, Lihua

Article Type: Research Article

Abstract: With the development of artificial intelligence in education, online education has been recognized by the society as a new teaching method. It can make full use of the advantages of the network across regions, and make full use of the advantages of network technology to share the resources of colleges and universities, which is a promising educational method. In response to the demand of online education for learner information, this paper proposes the learner model Neighbor Mean Variation Multi-Objective Particle Swarm Optimization-Genetic Algorithm (NMVMOPSO-GA). This model includes the learner’s learning interest sub-model, the learner’s cognitive ability sub-model and the learner’s …knowledge sub-model. The modelling techniques of the three sub-models are discussed separately, and their status and role in the online education system are analyzed. At the same time, for the knowledge model that reflects the learner’s learning progress and knowledge mastery, a learner knowledge sub-model constructed with Bayesian networks is proposed. The neighbor mean mutation operator is introduced to optimize the multi-objective particle swarm optimization algorithm and improve the convergence performance and stability of the multi-objective particle swarm optimization algorithm. We study the application of multi-objective particle swarm optimization algorithm in online course resource generation service. Through simulation experiments, it is verified that the multi-objective particle swarm optimization algorithm can improve the performance and stability of online course resource generation. Show more

Keywords: Online education, artificial intelligence, intelligent learning, particle swarm optimization algorithm

DOI: 10.3233/JIFS-189390

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Ding, Yahong

Article Type: Research Article

Abstract: At present, it is difficult to quantify the performance of public management teaching practice. Inviewof this, based on artificial intelligence technology, this study imitates the economic performance evaluation method to introduce evaluation parameters, and adopts the analogy method to introduce the artificial intelligence economic performance evaluation system into the model proposed in this study. Moreover, this study combines with actual teaching needs to build a performance analysis model of public management teaching training based on artificial intelligence technology. In addition, this study uses a B/S structure to build the system, set functional modules based on demand analysis, and use an …expert system to score. In order to study system performance and system stability in the context of big data, the system performance is studied through actual scoring and large amounts of data training. The research results show that the model proposed in this paper has a certain effect. Show more

Keywords: Artificial intelligence, public management, teaching practice, performance analysis

DOI: 10.3233/JIFS-189412

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2020

Authors: Yuzhong, Hou

Article Type: Research Article

Abstract: Ideological and political teaching emotion is an important reflection of students’ learning achievements. At present, the effect of emotion analysis of ideological and political students is poor. This article builds on the artificial intelligence technology and combines machine learning data mining ideas to construct a student emotion analysis model in the ideological and political classroom. Starting from the individual, based on the individual’s own emotions and external stimuli, this article carries out emotion transfer probability statistics on the dialogues with emotions marked, and obtains the individual’s emotion transfer matrix. After the corresponding model is constructed, it can be applied to …practice, and the research is conducted from the aspects of systematic emotion analysis effect and teaching promotion effect. In addition, this study designs a controlled experiment to analyze the effects of the model. The research results show that the model constructed in this paper has good performance. Show more

Keywords: Artificial intelligence, data mining, ideology and politics, emotion analysis

DOI: 10.3233/JIFS-189413

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Guo, Zheng | Jifeng, Zhu

Article Type: Research Article

Abstract: In recent years, with the development of Internet and intelligent technology, Japanese translation teaching has gradually explored a new teaching mode. Under the guidance of natural language processing and intelligent machine translation, machine translation based on statistical model has gradually become one of the primary auxiliary tools in Japanese translation teaching. In order to solve the problems of small scale, slow speed and incomplete field in the traditional parallel corpus machine translation, this paper constructs a Japanese translation teaching corpus based on the bilingual non parallel data model, and uses this corpus to train Japanese translation teaching machine translation model …Moses to get better auxiliary effect. In the process of construction, for non parallel corpus, we use the translation retrieval framework based on word graph representation to extract parallel sentence pairs from the corpus, and then build a translation retrieval model based on Bilingual non parallel data. The experimental results of training Moses translation model with Japanese translation corpus show that the bilingual nonparallel data model constructed in this paper has good translation retrieval performance. Compared with the existing algorithm, the Bleu value extracted in the parallel sentence pair is increased by 2.58. In addition, the retrieval method based on the structure of translation option words graph proposed in this paper is time efficient and has better performance and efficiency in assisting Japanese translation teaching. Show more

Keywords: Japanese translation teaching, machine translation, bilingual non parallel corpus, parallel sentence pairs, word graph structure

DOI: 10.3233/JIFS-189407

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Luo, Ying

Article Type: Research Article

Abstract: In ideological and political teaching, students have more serious problem behaviors in the classroom, including distracted, dazed, inattentive, and sleeping. In order to improve the efficiency of ideological and political teaching, based on artificial intelligence technology, this paper constructs a real-time monitoring system for ideological and political classrooms based on artificial intelligence algorithms, and builds model function modules according to the actual needs of ideological and political teaching monitoring. Moreover, this study makes reasonable calculations on the information monitoring and information transmission parts and installs a different number of monitoring equipment in different fixed locations according to the needs of …signal monitoring. In addition, this paper designs a control experiment to study the system performance and verify the parameters from multiple aspects. The research results show that the system model constructed in this paper is stable in ideological and political teaching and has certain effects. Show more

Keywords: Artificial intelligence, classroom monitoring, ideology and politics, teaching system

DOI: 10.3233/JIFS-189394

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Liu, Meichen | Huang, Jieru

Article Type: Research Article

Abstract: In recent years, with the rise of piano teaching, many people began to learn to play the piano. However, the expensive piano teaching cost and its unique teaching model that teachers and students are one to one have caused the shortage of piano education resources, and people learn piano playing has become a luxury activity. The use of computer multimedia software for piano teaching has become a feasible way to alleviate this contradiction. This paper proposes the design of an intelligent piano playing teaching system based on neural network, studies the realization method of the piano teaching system, presents a …method of evaluating piano playing by using neural network model for the difficulties in computer piano teaching, that is, computer teaching is one-way knowledge transfer without interaction. In addition, this paper simulates the teacher to guide the students to carry on the playing practice, which is of great significance to the teaching of the piano. Show more

Keywords: Artificial intelligence, piano teaching, evaluation, playing

DOI: 10.3233/JIFS-189389

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Xiaoyang, Huang | Junzhi, Zhao | Jingyuan, Fu | Xiuxia, Zhang

Article Type: Research Article

Abstract: Relying on the reform of the learning field curriculum system of ideological and political education courses in colleges and universities, the association rules between data mining and artificial intelligence technology are used to mine the association relationship between the software professional courses of the computer department, and the ideas and methods of optimizing the course setting are proposed. Discuss the reference value of the whole environment, multi-dimensional space-time, inter-subjectivity theory to the model construction from the theoretical level and the guiding significance of the Internet governance thought to the reform of ideological and political education in universities and colleges The …survey results analyze the problems existing in the reform and construction of ideological and political education in colleges and universities, and propose improvements and optimization measures and the four systems of “systematic design outlined in the outline, teamwork coordination of team building, network expansion of environmental construction, and dual promotion of quality assurance". The countermeasures to improve the effectiveness of the ideological and political education in universities, experience summarization, theoretical analysis and empirical research, the idea of constructing a “three-stage full environment” network ideological and political education model for colleges and universities is proposed. Through in-depth understanding and analysis of the relevant knowledge of data mining artificial intelligence technology, the relevant methods of data mining artificial intelligence technology are used to solve the timeliness problems of ideological and political education reform in colleges and universities, so that relevant managers can timely learn relevant information in complex issues to provide solutions for further decision-making. Show more

Keywords: Data mining, artificial intelligence, effectiveness of educational reform, ideological and political education in universities

DOI: 10.3233/JIFS-189408

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Juan, Dong | Hong Wei, Yu

Article Type: Research Article

Abstract: This paper based on the algorithm of particle swarm optimization neural network, the university English classroom training framework with artificial intelligence is researched and designed, and a personalized learning path based on an improved binary particle swarm algorithm based on the non-linear increase of inertial weights and the exploration of unknown space is proposed. The recommendation method improves the algorithm’s convergence speed and convergence accuracy. It is easy to jump out of the local optimum through the improvement of the algorithm, thereby solving the problem of low recommendation accuracy of the personalized learning path and improving the recommendation efficiency. To …verify the recommended effect of the model and algorithm, this paper designs a simulation experiment and a learning platform that take the college English course as an example to verify the running performance and practical application effect of the proposed method. The above experiments show that the proposed method can improve the matching degree of the personalized learning path and the needs of learners, and improve the accuracy of application in personalized learning path recommendation. Show more

Keywords: Particle swarm optimisation, neural network, artificial intelligence, college English, classroom training, teaching framework

DOI: 10.3233/JIFS-189400

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Wang, Yuxia

Article Type: Research Article

Abstract: Ideological and political education plays an important role in supporting social talent input. However, the current evaluation effect of ideological and political education is difficult to quantify. Therefore, in order to improve the evaluation effect of ideological and political education, based on artificial intelligence algorithms, this study combines machine learning ideas and the current status of ideological and political education to build a fuzzy analytic hierarchy process model of the of ideological and political teaching quality based on machine learning and artificial intelligence. Moreover, this study uses a three-tier structure to build a model network structure, and based on the …characteristics of fuzzy evaluation, this study uses the expert system to conduct data management, operation and control of model evaluation, and build a corresponding database to update the data in real time. In addition, in order to verify the effect of the model, this study sets simulation experiments to analyze the model performance. From the point of view of running effect and running speed, this research model meets the actual needs of the system, so it can be applied to the evaluation process of ideological and political teaching quality in colleges and universities. Show more

Keywords: Machine learning, ideological and political education, teaching quality, fuzzy AHP model

DOI: 10.3233/JIFS-189393

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Cheng, Jianqin | Wang, Xiaomeng

Article Type: Research Article

Abstract: This study takes the effectiveness analysis of inverted classroom teaching in colleges and universities as a breakthrough point, and combines artificial intelligence technology with the analysis method of inverted classroom teaching in colleges and universities to enrich the existing methods for analyzing, the behavior of inverted classroom teaching in colleges and universities to realize the effectiveness of inverted classroom teaching in colleges and universities analysis. This research first constructs an analytical framework for the teaching behaviors of college physical education inverted classrooms based on artificial intelligence technology, which consists of observation dimension and the evaluation dimension. In order to further …test the scientifically and operability of the analytical framework, taking emotion recognition as an example, practical operations are combined with specific examples to obtain visual analysis results. This study expands the dimension and depth of analysis of the behavior of inverted sport in classroom teaching in sport inversion colleges and universities, and has obvious advantages in saving manpower and real-time visual display. Through the analysis of the effectiveness of physical education inverted classroom teaching in sports inversion colleges and universities through artificial intelligence technology, the use of technology to participate in the analysis of physical education inverted classroom teaching behaviors in sports inverted colleges and universities, shorten the evaluation time, expand the evaluation dimension, improve the evaluation efficiency, achieve real-time feedback, real-time attention to classroom effects. Effectively regulating the inverted classroom teaching behavior of college physical education can promote the cultivation of teachers’ professional abilities, scientifically and accurately improve and correct teaching problems, and improve the quality of education and teaching. Eventually, students will achieve comprehensive self-evaluation of students, and promote personalized and standardized growth of students. Show more

Keywords: Artificial intelligence, inverted classroom, teaching effectiveness, physical education analysis

DOI: 10.3233/JIFS-189409

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Ran, Duan | Yingli, Wang | Haoxin, Qin

Article Type: Research Article

Abstract: Artificial intelligence speech recognition technology is an important direction in the field of human-computer interaction. The use of speech recognition technology to assist teachers in the correction of spoken English pronunciation in teaching has certain effects and can help students without being constrained by places, time and teachers. Based on artificial intelligence speech recognition technology, this paper improves and analyzes speech recognition algorithms, and uses effective algorithms as the system algorithms of artificial intelligence models. Meanwhile, based on phoneme-level speech error correction, after introducing the basic knowledge, construction and training of acoustic models, the basic process of speech cutting, including …the front-end processing of speech and the extraction of feature parameters, is elaborated. In addition, this study designed a control experiment to verify and analyze the artificial intelligence speech recognition correction model. The research results show that the method proposed in this paper has a certain effect. Show more

Keywords: Artificial intelligence, speech recognition, English, spoken language, error correction, intelligent model

DOI: 10.3233/JIFS-189388

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Gao, Xiaoru

Article Type: Research Article

Abstract: In order to study the role of English situational teaching in higher vocational colleges, based on information technology and artificial intelligence, this research combines with the needs of English teaching to construct a English situation teaching in higher vocational colleges with the support of 5G network technology and artificial intelligence. Moreover, this research builds a data processing model based on the system architecture diagram of cache placement, uses storage space and computing resources to save more backhaul link bandwidth, and adopts the “many to many” algorithm extended by the “one to many” algorithm, and uses the on-demand method to obtain …scenario teaching data from the cloud. In addition, this research constructs the intermediate link of data processing, and uses 5G network transmission to solve the problem of data transmission speed. Finally, this study uses a controlled experiment to evaluate the effectiveness of the artificial intelligence teaching model constructed in this study. The research shows that the English situation teaching method based on 5G network technology and artificial intelligence in vocational colleges has a certain effect and can effectively improve the English scores of vocational college students. Show more

Keywords: Artificial intelligence, 5G network, vocational colleges, english teaching, situational teaching, teaching reform

DOI: 10.3233/JIFS-189399

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Liang, Xiufang | Haiping, Lv | Liu, Jie | Lin, Lin

Article Type: Research Article

Abstract: Based on the cloud computing artificial intelligence model, the English interactive teaching model summarized and analyzed in an in-depth manner, the characteristics of the smart classroom explored, and the interactive teaching model reform practiced. This article has studied and analyzed the classic teaching model. Finally, based on constructivism, the advantages of the constructivism teaching model, cooperative teaching model, and mastering learning model selected to construct the teaching model of artificial intelligence courses. Through the questionnaire survey of the current teaching status of artificial intelligence courses, and the investigation of each link of the constructed model, according to the results of …the survey to optimize the construction of artificial intelligence courses teaching model to make it more perfect. Based on the cloud computing technology, the system architecture and function module division of the network open class platform designed based on the overall needs, and developed and implemented on this basis. Through global and local two-level authentication, user information synchronization, and interconnection between homogeneous clouds, the identity management function realized. With the help of the e-schoolbag function, the learning results continuously and accurately evaluated, so that every learner can get a good learning experience. Show more

Keywords: Cloud computing, artificial intelligence, English interactive teaching, model reform practice

DOI: 10.3233/JIFS-189397

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Hu, Jiheng | Liu, Boya | Peng, Hao

Article Type: Research Article

Abstract: With the arrival of the era of artificial intelligence, based on the problems existing in the teaching process of marketing specialty, combined with the future business development trend and the core needs of enterprise operation, this paper analyzes the system reform of the practical courses of artificial intelligence and marketing specialty. With the rapid development of computer technology, intelligence has gradually become an important means to solve problems in various industries. In this paper, the modern media as a means, marketing teaching in Colleges and universities as the research background, through the establishment of the depth of marketing in Colleges …and Universities Based on artificial intelligence network research learning platform, build a post-modern media communication perspective system. Based on probabilistic neural network and from the perspective of modern media marketing application system construction, the paper proves that the artificial intelligence prediction based on probabilistic neural network has good convergence, fault tolerance and data processing ability through MATLAB. Finally, this paper takes the pricing strategy in marketing as an example, and focuses on the application of artificial intelligence technology in marketing teaching from four aspects: preparation before class, implementation in class, consolidation after class and marketing teaching examination. According to the function and application of the theory of artificial intelligences in marketing teaching, we can find out that teachers must deeply understand the situation of each student’s artificial intelligences, so as to use the theory of artificial intelligences to change the traditional view of students and talents, and teach students according to their aptitude, so as to achieve better teaching effect. Show more

Keywords: Artificial intelligence technology, marketing, marketing teaching, creativity, individualized teaching

DOI: 10.3233/JIFS-189405

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2020

Authors: Rong, Zheng | Gang, Zheng

Article Type: Research Article

Abstract: The student’s political and ideological practices is a vital portion of education, and it is related to optimization of task based on fundamental scenario in establishing morality. In order to establish a scientific, reasonable and operable evaluation model for students’ ideological education, and evaluate the status of college students’ ideological education. In this paper, firstly, in view of the shortcomings of evaluation objectives, single evaluation methods, lack of pertinence of evaluation indicators and subjectivity of evaluation standards in the current evaluation system of university students’ ideological and political education, the basic principles for constructing evaluation models of university students’ ideological …and political education are put forward. Secondly, in case to meet changing needs of the times, an artificial neural network algorithm based on artificial intelligence data mining and a traditional multi-layer fuzzy evaluation model are designed to evaluate the ideological and political education of college students. This newly proposed model integrates learning, association, recognition, self-adaptive and fuzzy information processing, and at the same time, it overcomes their respective shortcomings. Finally, an example analysis is carried out with a nearby university as an example. The evaluation results display that the evaluation model of students’ ideological education established in this paper is in good agreement with the previous evaluation results. It fully shows that the comprehensive evaluation model of fuzzy neural network for college students’ ideological and political education established in this paper is scientific and effective. Show more

Keywords: Artificial intelligence, fuzzy neural network, ideological and political education, evaluation model

DOI: 10.3233/JIFS-189401

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Chen, Yanjie | Zheng, Na

Article Type: Research Article

Abstract: This paper investigates the cognition status of information piano education for teachers and students in a university, which mainly includes a summary of the piano teaching status in a university and make an analysis and summary of the investigation results. In addition, this paper puts forward the direction of the network information reform and construction for piano majors in Colleges and universities, mainly including three aspects, that is, taking piano “micro class” teaching to arm traditional classroom teaching, using the new media to build a networked piano learning environment, and building the piano teaching “MOOC” platform.

Keywords: AI, Piano teaching, new media

DOI: 10.3233/JIFS-189402

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2020

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. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Conghai, Hu | Qianqian, Zhao | Jie, Guo

Article Type: Research Article

Abstract: The linguistic artificial intelligence teaching model can be assisted by the intelligent speech recognition model. The traditional speech recognition algorithm has certain problems, so it cannot effectively eliminate speech noise. Based on the advantages of the linguistics teaching model, this article combines the linguistics teaching model and the artificial intelligence model to build an artificial intelligence assisted teaching model that can be used for classroom teaching. Moreover, this study improves the traditional algorithm and constructs an artificial intelligence linguistics teaching model based on the improved algorithm. The filtering part of noise includes preliminary filtering of speech signals based on the …short-term energy detection method, and further detection and recognition of preliminary filtering speech signals based on the artificial intelligence model detection method. After these two steps of filtering and recognition, the voice file is sent to the client for processing and control. In addition, this study set up a control experiment to analyze the performance of the model. The research results show that the algorithm in this paper has a certain effect. Show more

Keywords: Artificial intelligence, speech model, linguistics, teaching model

DOI: 10.3233/JIFS-189396

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Gaobin, | Huan Nan, Cao | Zhen Zhong, Liu

Article Type: Research Article

Abstract: There are certain disadvantages in the traditional physical education teaching model. In order to improve the advanced nature of physical education teaching methods, this paper builds a physical education evaluation system based on artificial intelligence fuzzy algorithm. The system uses fuzzy control instructions as the basis to combine human language and mechanical language, so that the machine can recognize human working language habits and execute commands according to the instructions. Moreover, in this study, the trapezoid function is selected as the membership function, and the improved particle optimization algorithm is used to capture the student’s motion process and the motion …vector decomposition, and the system structure model is constructed based on the functional requirements analysis. In addition, this study conducts system performance analysis through experimental teaching methods. The research results show that this system can effectively promote the reform of teaching methods in physical education and has a certain practical effect. Show more

Keywords: Artificial intelligence, fuzzy system, physical education, teaching improvement

DOI: 10.3233/JIFS-189395

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2020

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. Pre-press, no. Pre-press, pp. 1-7, 2020

Authors: YanRu, Liu

Article Type: Research Article

Abstract: The manual evaluation method to evaluate the effect of physical education teaching is tedious, and it will have a large error when the amount of data is large. In order to improve the efficiency of physical education evaluation, this article uses artificial intelligence for data analysis and uses machine vision to identify the teaching process to assist teachers in physical education. In order to reduce the calibration error of the parameters and obtain more accurate camera imaging geometric parameters, this paper adopts the method of averaging multiple sample points to determine the calibration parameters of the camera. In addition, this …study builds system function modules according to actual needs and verifies system performance through experimental teaching methods. The research results show that the model proposed in this paper has a certain practical effect. Show more

Keywords: Artificial intelligence, machine vision, physical education, effect evaluation

DOI: 10.3233/JIFS-189392

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

Authors: Aiyuan, Li | Hui, Wang

Article Type: Research Article

Abstract: The traditional English online teaching model is limited by the teaching location and the difficulty of online teaching, which prevents teachers from controlling students. In order to improve the ability of the English online teaching model to supervise and recognize the status of students, this paper proposes an English online teaching model based on artificial intelligence technology, and adopts a positioning method based on an improved deep belief network for real-time position control and status recognition for students in online learning. Moreover, this study combines intelligent algorithms to build the model structure and verify the performance of the model. The …results show that the performance of the model is good. In addition, on the basis of performance testing, the recognition effect of the artificial intelligence-based student online learning recognition model constructed in this paper is recognized. The results show that the model proposed in this paper has a certain effect and meets the actual needs of intelligent teaching. Show more

Keywords: Artificial intelligence, English, online teaching of artificial intelligence, teaching model

DOI: 10.3233/JIFS-189391

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

Authors: Feng, Chao

Article Type: Research Article

Abstract: The popularization of virtual reality technology has become a brand-new carrier of knowledge and information dissemination and a new tool for art creation and design teaching in Colleges and universities. In this paper, first of all, from the three aspects of the definition and characteristics of virtual reality technology, the integration of virtual reality technology into art design teaching, and the significance of using virtual reality technology in art design teaching, the reform of art creation and design teaching in Colleges and Universities under virtual reality technology is discussed. In order to carry out the application research, this paper then …chooses to carry on the simulation modeling teaching of the bamboo forest in the intelligent virtual reality environment, making full use of the intelligent modeling tools, rendering tools and mapping tools to complete the teaching application examples of the art modeling design in Colleges and universities. In the specific teaching of art creation and design in Colleges and universities, the creation and design modeling of individual bamboos, the creation and design modeling of bamboos forest, and the creation and design modeling of different lighting effects and scene rendering are carried out respectively. Finally, from the advantages of intelligent virtual reality technology in art creation and design of colleges and universities, the expansion and promotion of teaching resources, and the synergistic effect of teaching results, we analyze the strategies of art creation and design teaching in Colleges and Universities under the background of intelligent virtual reality technology in detail. Show more

Keywords: Intelligent virtual technology, art creation teaching, university art design teaching, fengwei bamboo forest creation design teaching example, creation and design teaching new strategy

DOI: 10.3233/JIFS-189404

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

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. Pre-press, no. Pre-press, pp. 1-10, 2020

Authors: Urrutia, Angélica | Rojo, Fabiola | Nicolas, Carolina | Ahumada, Roberto

Article Type: Research Article

Abstract: Companies need to know customer preferences for decision-making. For this reason, the companies take into account the Customer Relationship Management (CRM). These information systems have the objective to give support and allow the management of customer data. Nevertheless, it is possible to forget causal relationships that are not always explicit, obvious, or observables. The aim of this study on new methodologies for finding causal relationships. This research used a data analysis methodology of a CRM. The traditional analysis method is the Theory of Forgotten Effects (TFE), which is considered in this work. The new approach proposed in this article is …to use Data Mining Algorithms (DMA) like Association Rules (AR) to discover causal relationships. This study analyzed 5,000 users’ comments and opinions about a Chilean foods industry company. The results show that the DMA used in this work obtains the same values as the TFE. Consequently, DMA can be used to identify non-obvious comments about products and services. Show more

Keywords: Management CRM system, data mining on customer, forgotten effects theory, methodology effects of the causal, food industry, Chile

DOI: 10.3233/JIFS-189185

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-9, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

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. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

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. Pre-press, no. Pre-press, pp. 1-7, 2020

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. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-13, 2020

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. Pre-press, no. Pre-press, pp. 1-9, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

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. Pre-press, no. Pre-press, pp. 1-13, 2020

Authors: Liu, Xiaoman

Article Type: Research Article

Abstract: According to the internal laws and development trends of the management and operation of local public utilities in China, the performance level of local public utility management in our country is predicted, and the corresponding performance evaluation index system is established. It is for the reform of the local public utilities management system in China and related policies. The adjustment has certain positive significance. This paper uses pattern discriminant analysis technology and BP neural network model to build a local public utility management performance prediction model and uses 11 regions in the east, middle, and west of the country as …samples to predict the local public utility management performance. Show more

Keywords: Public utilities, performance prediction, discriminant analysis, neural network

DOI: 10.3233/JIFS-189360

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020

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. Pre-press, no. Pre-press, pp. 1-10, 2020

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. Pre-press, no. Pre-press, pp. 1-7, 2020

Authors: Chen, Lu | Being, He

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. Pre-press, no. Pre-press, pp. 1-8, 2020

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. Pre-press, no. Pre-press, pp. 1-9, 2020

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. Pre-press, no. Pre-press, pp. 1-12, 2020

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. Pre-press, no. Pre-press, pp. 1-9, 2020

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. Pre-press, no. Pre-press, pp. 1-8, 2020

Authors: Tang, Shuangxia | Shi, Kunquan

Article Type: Research Article

Abstract: Wearable-devices have developed rapidly. Meanwhile, the security and privacy protection of user data has also occurred frequently. Aiming at the process of privacy protection of wearable-device data release, based on the conventional V-MDAV algorithm, this paper proposes a WSV-MDAV micro accumulation method based on weight W and susceptible attribute value sensitivity parameter S and introduces differential-privacy after micro accumulation operating. By simulating the Starlog dataset and the Adult dataset, the results show that, compared with the conventional multi-variable variable-length algorithm, the privacy protection method proposed in this paper has improved the privacy protection level of related devices, and the information …distortion has been properly resolved. The construction of the release model can prevent susceptible data with identity tags from being tampered with, stolen, and leaked by criminals. It can avoid causing great spiritual and property losses to individuals, and avoid harming public safety caused by information leakage. Show more

Keywords: Wearable-device, data privacy-protection, micro accumulation, differential privacy

DOI: 10.3233/JIFS-189336

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2020

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. Pre-press, no. Pre-press, pp. 1-10, 2020

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. Pre-press, no. Pre-press, pp. 1-9, 2020

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. Pre-press, no. Pre-press, pp. 1-10, 2020

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. Pre-press, no. Pre-press, pp. 1-11, 2020