Journal of Intelligent & Fuzzy Systems - Volume 40, issue 4

Authors: Chen, Yiqing

Article Type: Research Article

Abstract: At present, the traditional sports teaching model has been unable to meet the needs of modern diversified talents. Based on the actual needs of physical education, this article reforms traditional physical education methods, proposes a university physical education model based on virtual crowd simulation and digital media, and builds a corresponding system. Moreover, this paper uses feature identification to monitor classroom teaching and counts multiple parameters to assist the effective teaching activities. In model tracking, the DMS motion trajectory is obtained, and then the center points of all grid sequences are calculated to generate a center point matrix. Considering the …difference in motion between adjacent frames of DMS, the difference is quantified by the significance value, so that the sequence of adjacent frames with small differences is organized into clusters. In addition, this paper builds a computer system model based on actual needs and evaluates model performance through actual teaching. The research results show that the proposed model has good performance. Show more

Keywords: Virtual simulation, crowd retrieval, digital media, college sports

DOI: 10.3233/JIFS-189547

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7195-7207, 2021

Authors: Xu, Min

Article Type: Research Article

Abstract: PLC is an indispensable technology for modern automation. The future social development will require a large number of PLC technical talents, so higher requirements are put forward for the teaching of PLC courses in colleges and universities. The intelligence and practical effect of the PLC course evaluation system are particularly important. Based on this, this article combines machine learning and image feature retrieval to construct a PLC course performance evaluation system. Moreover, this paper introduces the smoothness of the multispectral image, the smoothness of the blur function and the smoothness between the blur functions of adjacent spectral images as constraints …and uses the gradient of the image blur kernel to express the smoothness of the image blur kernel itself. In addition, this article constructs the model system architecture according to the teaching requirements of the course and analyzes its realization process. Finally, in order to verify the performance of the model, this paper conducts system performance verification experiments through practical teaching methods and analyzes the results with statistical methods. The research results show that the PLC performance evaluation system constructed in this paper has a certain effect. Show more

Keywords: Machine learning, image features, feature retrieval, PLC courses, performance evaluation

DOI: 10.3233/JIFS-189548

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7209-7219, 2021

Authors: Hu, Ping | Diao, Lijing

Article Type: Research Article

Abstract: Under the Internet information network environment, College English teaching mode is faced with a new choice and transformation. SPOC and STEAM classes have multiple advantages, which can make up for the lack of a single teaching model and provide new ideas for teaching reform. It is a practical application of statistical method to optimize the model of artificial neural network by machine learning method of statistics. The application of mathematical statistics can solve some related problems of artificial perception. Therefore, artificial neural network has the same simple decision ability and judgment ability as human beings. In this paper, the authors …analyze the image invariant features and SVM algorithms application in college English education platform. The results show that this method has a positive effect on learners’ English proficiency and learning effect. Teachers also avoid paying a lot of labor, which is very beneficial to the implementation of innovative teaching. However, compared with the traditional teaching, the phenomenon of student achievement differentiation is very serious, and teaching is facing great pressure. Therefore, improving students’ autonomous learning ability and teachers’ information literacy is still very helpful to improve the teaching effect. Show more

Keywords: Artificial neural network, deep learning, automatic recognition, English teaching

DOI: 10.3233/JIFS-189549

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7221-7232, 2021

Authors: Xianpeng, Dai

Article Type: Research Article

Abstract: In the past, the research of target tracking was often to track problems in a static background, and the tracking scenes were often stable, and the targets were special. However, target tracking is often a tracking problem in the face of realistic complex scenes, and the target and scene are more complex. Therefore, the target tracking algorithm still faces many challenges in practical applications, especially in sports visual feature recognition. Based on the needs of sports feature recognition, this study combines the EIA algorithm to construct a feature recognition model. Moreover, for the shortcomings of the compressed sensing tracking algorithm …that cannot accurately and comprehensively describe the target shape through a single target feature, the multi-feature adaptive fusion method is used to visualize the target appearance model, thus improving the accuracy of target tracking. In addition, this study design experiments to analyze the performance of the algorithm model. The research results show that the algorithm model of this study has certain recognition effects. Show more

Keywords: Target tracking, target recognition, EIA algorithm, visual image, feature recognition

DOI: 10.3233/JIFS-189550

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7233-7246, 2021

Authors: Bian, Jianxiao | Ma, Baoji

Article Type: Research Article

Abstract: The electrochemical discharge machining process is affected by many factors, so the machining process is difficult to be qualitatively analyzed. In order to further understand the characteristics of the electrochemical discharge machining process and better master the machining skills, based on the image features, this article uses the SVM algorithm to build an electrochemical discharge machining system, and uses image feature recognition technology to effectively control the electrochemical discharge machining process. Moreover, this article analyzes the laser back-wet etching process mechanism and discusses the material removal mechanism of electrochemical discharge machining according to the three processes of bubble generation, gas …layer formation, and spark discharge removal material. In addition, this article analyzes the system performance according to the actual situation and displays the results through statistical methods. The research results show that the electrochemical discharge machining system based on image features and SVM algorithm constructed in this paper has a good effect, and it can be applied to the management and control of the electrochemical discharge machining process. Show more

Keywords: Image feature, SVM, electrochemical discharge, feature analysis

DOI: 10.3233/JIFS-189551

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7247-7258, 2021

Authors: Qin, Xiaolei

Article Type: Research Article

Abstract: The process of international integration is accelerating continuously, which puts forward certain requirements for the current college students’ communicative ability and English ability. Therefore, it is necessary to further improve the students’ cross-cultural communicative ability in combination with English teaching. This paper combines machine learning and fuzzy mathematics methods to build an evaluation model of English cross-cultural communication ability. Moreover, based on the basic assumptions of college students’ oral communication ability evaluation, this paper builds a basic model for college students’ oral communication ability evaluation. In addition, through factor analysis and correlation analysis, this paper verifies the hypothesis of the …student’s oral communication ability evaluation model and obtains an optimized university student’s oral communication ability evaluation model. After the model’s hypothesis testing and a series of statistical analysis, the evaluation system of college students’ oral communication ability is finally obtained. Finally, this article combines the investigation and analysis to test the performance of the model constructed in this article. The research results show that the capability evaluation model constructed in this paper has good performance. Show more

Keywords: Machine learning, fuzzy mathematics, English cross-cultural, communicative ability

DOI: 10.3233/JIFS-189552

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7259-7271, 2021

Authors: Wu, Shilong

Article Type: Research Article

Abstract: Students’ classroom behavior recognition and emotion recognition effects directly determine the degree of teachers’ control of the classroom teaching process. At present, teachers and students belong to two groups in traditional teaching, and teachers cannot effectively mobilize students’ learning emotions. In order to improve the teaching effect, this paper combines the PSO algorithm and the KNN algorithm to obtain the PSO-KNN joint algorithm, and combines with the emotional image processing algorithm to construct an artificial intelligence-based classroom student behavior recognition model. Moreover, based on the image processing technology, this paper uses key frame detection for feature recognition, and this paper …improves the recognition process based on the inter-frame similarity measurement algorithm and initial cluster center selection in the key frame extraction method of clustering. In addition, this paper analyzes the effect of the model constructed on the behavior recognition and emotion recognition of students. The research results show that the joint algorithm constructed in this paper has a high accuracy rate for students’ emotion recognition and behavior recognition, and can meet the actual teaching needs. Show more

Keywords: PSO-KNN algorithm, emotional images, classroom, student behavior

DOI: 10.3233/JIFS-189553

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7273-7283, 2021

Authors: Zhao, Xiaoxiong | Ye, Sizhan

Article Type: Research Article

Abstract: In the electronic age, the changes in the mirror space constructed by movies are also brought about by changes in the media. Cinematic space is a four-dimensional space illusion including time created by the use of light and shadow, color, perspective, sound, and the movement of characters and cameras. It is not a real four-dimensional space, but a reflection and reproduction of the real space. With the goal of improving the accuracy of spatially coded structured light 3D reconstruction, this paper conducts in-depth research on several key technologies that affect the reconstruction accuracy and makes corresponding innovations and improvements. Moreover, …this paper respectively proposes an adaptive structured light spatial coding algorithm based on geometric features and a color structured light decoding algorithm based on color shift technology. In addition, this paper implements a spatially coded structured light three-dimensional reconstruction system and calibration system. The simulation research shows that the method in this paper has certain reliability. Show more

Keywords: Artificial intelligence, virtual reality, audio-visual media, spatial reconstruction

DOI: 10.3233/JIFS-189554

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7285-7296, 2021

Authors: Yanli, Cao

Article Type: Research Article

Abstract: The research on the risk pricing of Internet finance online loans not only enriches the theory and methods of online loan pricing, but also helps to improve the level of online loan risk pricing. In order to improve the efficiency of Internet financial supervision, this article builds an Internet financial supervision system based on machine learning algorithms and improved neural network algorithms. Moreover, on the basis of factor analysis and discretization of loan data, this paper selects the relatively mature Logistic regression model to evaluate the credit risk of the borrower and considers the comprehensive management of credit risk and …the matching with income. In addition, according to the relevant provisions of the New Basel Agreement on expected losses and economic capital, starting from the relevant factors, this article combines the credit risk assessment results to obtain relevant factors through regional research and conduct empirical analysis. The research results show that the model constructed in this paper has certain reliability. Show more

Keywords: Machine learning, improved neural network, Internet, financial supervision

DOI: 10.3233/JIFS-189555

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7297-7308, 2021

Authors: Liu, Tao | Xin, Baogui | Wu, Fan

Article Type: Research Article

Abstract: There are many factors that need to be considered when planning a city’s green economy, so it is difficult to simulate the planning effect through manual models. In order to improve the effect of urban green economic planning, this paper improves the traditional algorithm and combines the principle of machine learning algorithm to build a model that can be used in urban green economic planning. Moreover, this paper considers the measurement of green economic efficiency from the perspective of input, expected output and undesired output. In addition, this paper compares and analyzes the green efficiency calculated by the SE-SBM model, …including horizontal comparison analysis and vertical comparison analysis, and conducts model simulation analysis in combination with data simulation research. Finally, this paper sets the simulation area, combines the data to perform model performance analysis, summarizes the data with statistical analysis methods, and draws charts. The research results show that the model constructed in this paper has a certain effect and can be applied to the design stage of urban green planning. Show more

Keywords: Genetic algorithm, improved algorithm, machine learning, green economy

DOI: 10.3233/JIFS-189556

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 7309-7322, 2021