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

Authors: Teer, Ba

Article Type: Research Article

Abstract: Because sports video has a wide audience and huge market potential, research with the main goal of sports video content analysis has become a hot spot in the field of video analysis. Although after more than ten years of hard work, the current achievements are still far from the expectations of people. In this study, the sports video is taken as the analysis object, and for the shortcoming that when the VIRE positioning algorithm uses linear interpolation to calculate the virtual label, the error between the obtained RSSI value and the actual value is larger, this paper uses quadratic interpolation …to improve it. Moreover, this study explores the threshold setting of the algorithm and proposes a threshold setting method, so that the adjacent map thresholds of each reader are not necessarily consistent, and the resulting adjacent label map is more accurate. In addition, this experiment uses the algorithm model designed in this study combined with the qualysis infrared capture system to capture the tennis serve. Finally, this study conducts model algorithm performance analysis through comparative analysis. The research results show that the algorithm of this study has certain practical effects. Show more

Keywords: Random forest, infrared capture, motion capture, kinematics, feature recognition

DOI: 10.3233/JIFS-189517

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6853-6863, 2021

Authors: Cao, Jingxin

Article Type: Research Article

Abstract: With the continuous progress of the times, the development of college education is also constantly tending to enrich and diversify. In the course of curriculum setting in many colleges and universities, more and more attention is paid to the teaching of computer courses for college students. In the course of setting up and teaching, we still follow the traditional teaching mode and do not pay more attention to students’ practical practice. By observing the computer course materials selected by many colleges and universities for students, we can see that most of the textbooks still focus on arranging some exercises from …the point of view that science and engineering are students, and lack the basic knowledge of the curriculum. Because the understanding and research of computer course is not deep enough, the teaching effect obtained since the course is not ideal. By studying the relevant knowledge of machine learning and some important problems in the development of neural network algorithm theory, this paper puts forward some viewpoints based on the current curriculum system in colleges and universities in order to improve the learning quality of computer courses. And hope to build a variant learning model to improve students’ interest in computer courses. The exploration and inference of some knowledge in this paper are mostly my own views, some places are not professional enough, the majority of experts and scholars can criticize and correct at will. Show more

Keywords: Computer public course, machine learning, neural network algorithm, teaching reform

DOI: 10.3233/JIFS-189518

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6865-6876, 2021

Authors: Guifang, Liu

Article Type: Research Article

Abstract: The use of intelligent college English writing training system will certainly promote the traditional teaching structure and realize a new and efficient English writing teaching mode. On the basis of machine learning and the herd effect algorithm, this article constructs an artificial intelligence-based English intelligent writing system. Moreover, in view of the shortcomings of traditional models and the characteristics of intelligent English writing, this paper proposes an improved algorithm for optimization of swarm particle walking paths. In addition, this article proposes a relative attractiveness to initialize the formation of small-scale groups based on the herd effect. Then, in the process …of intelligent writing, by establishing an information sharing mechanism between groups, each group is continuously updated and reorganized according to the relative attractiveness of the group, so that the writing process can be simulated more realistically. From the experimental research, it can be seen that the model constructed in this paper has a certain degree of intelligence. Show more

Keywords: Integration of herding effect, artificial intelligence, English writing, artificial intelligence, machine learning

DOI: 10.3233/JIFS-189519

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6877-6887, 2021

Authors: Guangxu, Yu

Article Type: Research Article

Abstract: The 21st century is an era of rapid development of the Internet. Internet technology is widely used in various fields. With the rapid development of network, the importance of network information security is also highlighted. The traditional network information security technology has been difficult to ensure the security of network information. Therefore, we mainly study the application of machine learning feature extraction method in situational awareness system. A feature selection method based on machine learning is proposed to extract situational features.By analyzing whether the background of network information is safe or not, and according to the current research situation at …home and abroad and the trend of Internet development, this paper tries out the practical application of machine learning feature extraction method in a certain perception system. Based on the above points, a selection method based on machine learning is proposed to extract situational features. The accuracy and timeliness of situational awareness system detection are seriously affected by the high dimension, noise and redundant features of massive network traffic data.Therefore, it is of great value to further study network intrusion detection technology on the basis of machine learning. Show more

Keywords: Network information security, security potential perception, intrusion security detection, machine learning

DOI: 10.3233/JIFS-189520

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6889-6900, 2021

Authors: Bowen, Deng

Article Type: Research Article

Abstract: The performance of the speech recognition system for English classroom teaching is largely affected by the surrounding environment. These interference signals will seriously reduce the quality and intelligibility of the speech signal, thereby greatly reducing the performance of the far-field speech recognition system. Aiming at word order detection in English classroom teaching, this paper proposes an analysis model based on block coding and improved genetic algorithm. Moreover, for DNN-based single-channel speech enhancement algorithms, this paper proposes PDNNs and PLSTMs to solve the problem of serious performance degradation of prototype DNN speech enhancement under low signal-to-noise ratio. This method decomposes the …entire enhancement task into multiple subtasks to complete, and the previously completed subtasks will provide prior knowledge for the subsequent subtasks, so that the subsequent subtasks can learn its goals better. In general, the experimental results prove the reliability of the model constructed in this paper. Show more

Keywords: Block coding, genetic algorithm, machine learning, word order detection

DOI: 10.3233/JIFS-189521

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6901-6912, 2021

Authors: Man, Huang | Jie, Lian

Article Type: Research Article

Abstract: The research on operational efficiency focuses on the macro-level research. However, there are relatively few studies on the industry level. In particular, there are fewer studies on the logistics industry, which has a leading and fundamental significance in the national economic system and is regarded as the third important source of profit. Moreover, scholars are more focused on the research on the operational performance and profitability of logistics enterprises. In order to study the efficiency of the logistics industry, this paper uses machine learning technology as the foundation and self-service data envelopment analysis to construct a comprehensive efficiency analysis model …for the logistics industry. Moreover, this paper adopts a combination of qualitative and quantitative analysis to conduct empirical research on the operational efficiency and influencing factors of the logistics industry to explore the factors that affect the operational efficiency of logistics enterprises. In addition, this article optimizes the model data through statistics, and compares the model analysis data with the actual situation. It can be seen from the research results that the model constructed in this paper has a certain effect. Show more

Keywords: Machine learning, self-service data envelopment, logistics efficiency, efficiency analysis

DOI: 10.3233/JIFS-189522

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6913-6924, 2021

Authors: Xuan, Fan

Article Type: Research Article

Abstract: Supply chain financial risk control has become the biggest obstacle restricting financial institutions from developing supply chain financial services. If financial institutions want to make a difference in the supply chain finance business, they need to implement strong control measures against supply chain finance risks. Based on the research of supply chain finance and risk related theories, this paper uses fuzzy preference relations and selects the main risk criteria to construct a risk evaluation index system. Moreover, this paper takes the development of J company’s supply chain finance business as a background to conduct an empirical analysis and proposes the …risk management measures and development strategies of J company’s actual supply chain finance business. The combination of quantitative analysis and qualitative evaluation is more comprehensive and operational value for the research and management of supply chain financial risks. In addition, this paper uses the evaluation index system constructed in this paper to conduct a more comprehensive summary and analysis of the internal and external environment of risk influencing factors. The research results show that the performance of the model constructed in this paper is good. Show more

Keywords: Machine learning, supply chain finance, risk regression, improved algorithm

DOI: 10.3233/JIFS-189523

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6925-6935, 2021

Authors: Chaoying, Xie

Article Type: Research Article

Abstract: With the popularization of open borrowing, it is urgent for major libraries to explore new collection classification and identification systems to assist or replace librarians in their daily book cataloguing work. The messy books can be marked according to invisible colors, which puts forward a new method of library classification. In the algorithm used to detect image edges, by looking for the traditional sensitivity measurement system, the best parameters are applied to the wrong book image edges, and the test results are verified to find the best parameter range. A two-dimensional algorithm is used to segment the information element matrix …to reduce sound. The results show that the image edge test is effective and reduces the influence of noise on the image test. The self-adjustment control algorithm of a single neuron is used to control the robot orbit, which makes the robot not only react quickly, but also reduce a small part of the error in meeting the actual needs of the robot. The effect on the result is getting smaller and smaller. Show more

Keywords: Artificial intelligence, ant colony algorithm, library, classification recognition

DOI: 10.3233/JIFS-189524

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6937-6948, 2021

Authors: Nianfan, Peng

Article Type: Research Article

Abstract: Learning performance evaluation is an important part of computer English teaching. Through evaluation, students can understand whether they have reached the learning goals of a lesson, and what are their shortcomings, so that they can continuously improve and improve themselves against these shortcomings. Combining actual needs, based on neural network and artificial intelligence technology, this paper constructs a computer English learning performance evaluation model based on machine learning. The computer English learning performance evaluation system in this paper is constructed on the basis of auditory characteristics and introduces a wavelet entropy feature based on the best tree wavelet packet decomposition, …and it is applied to the establishment of an adaptive model. Moreover, this paper uses controlled experiments to analyze the model performance and combines mathematical statistics to visually display the model effect. From the research results, it can be seen that the performance of the model constructed in this paper basically meets the expected requirements and actual needs. Show more

Keywords: Neural network, artificial intelligence, computer, English performance, performance evaluation

DOI: 10.3233/JIFS-189525

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6949-6959, 2021

Authors: Yangxiaoxiao, Zhou

Article Type: Research Article

Abstract: Traditional art design models are inefficient and difficult to control the modal characteristics of images. Based on the actual needs of artistic design, this paper builds an intelligent model of artistic design image modal analysis based on machine learning technology and image recognition technology, and proposes a feature extraction method based on wavelet transform and fuzzy logic and an art image classification method based on rotating quaternion wavelet transform. Moreover, this paper calculates the activation intensity value corresponding to each fuzzy area in the fuzzy feature space and normalizes these activation intensity values to form the artistic image feature vector. …In addition, this paper uses rotating quaternary wavelet transform to decompose the art image, and then calculate the energy and standard deviation of each decomposed sub-band coefficient. Finally, this paper uses support vector machines to recognize artistic images. The experimental research shows that the model constructed in this paper has certain effects. Show more

Keywords: Art design, image modality, artificial intelligence, image recognition

DOI: 10.3233/JIFS-189526

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6961-6971, 2021