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

Authors: Chen, Yuanyuan | Wang, Xuan | Du, Xiaohui

Article Type: Research Article

Abstract: The diagnostic evaluation model of English learning is difficult to judge the subjective factors in student learning, so some diagnostic evaluation models of English learning are difficult to apply to English learning practice. In order to improve the effect of English learning, based on machine learning technology, this study combines the needs of English evaluation to build a diagnostic evaluation model of English learning based on machine learning. Moreover, this study compares the methods of random forest, Bayesian network, decision tree, perceptron, K-nearest neighbor and multi-model fusion, and selects the best algorithm for diagnostic analysis. The diagnostic evaluation model of …English studies constructed in this paper mainly evaluates and judges the errors in students’ English learning. In addition, this study validates the methods proposed in this study through controlled experiments. The research results show that the method proposed in this study has a certain effect. Show more

Keywords: Machine learning, English learning, diagnosis; evaluation model

DOI: 10.3233/JIFS-189216

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2169-2179, 2021

Authors: Han, Yanping

Article Type: Research Article

Abstract: The feature recognition of spoken Japanese is an effective carrier for Sino-Japanese communication. At present, most of the existing intelligent translation equipment only have equipment that converts English into other languages, and some Japanese translation systems have problems with accuracy and real-time translation. Based on this, based on support vector machines, this research studies and recognizes the input features of spoken Japanese, and improves traditional algorithms to adapt to the needs of spoken language recognition. Moreover, this study uses improved spectral subtraction based on spectral entropy for enhancement processing, modifies Mel filter bank, and introduces several improved MFCC feature parameters. …In addition, this study selects an improved feature recognition algorithm suitable for this research system and conducts experimental analysis of input feature recognition of spoken Japanese on the basis of this research model. The research results show that this research model has improved the recognition speed and recognition accuracy, and this research model meets the system requirements, which can provide a reference for subsequent related research. Show more

Keywords: Support vector machine, Japanese, spoken input, feature recognition

DOI: 10.3233/JIFS-189217

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2181-2192, 2021

Authors: Zhang, Zhijun | Ren, Xiaojun

Article Type: Research Article

Abstract: Although the data trading platform has accelerated the flow of data, the current data trading platform still has many problems. According to the characteristics of the blockchain technology, from the aspects of the attack behavior in the blockchain and the security application of the blockchain technology in power transactions, this paper studies the security of the blockchain. Moreover, this article focuses on the privacy protection of the ciphertext strategy in the CP-ABE scheme, and protects the privacy information of the access strategy by designing appropriate ciphertext and key structures and access structure forms. In addition, the system efficiency is improved …by computing outsourcing, and solutions to problems in outsourcing computing are proposed. Meanwhile, two efficient and flexible support policy hidden multi-authorization center access control schemes are constructed. Finally, this study analyzes the performance of the model through controlled experiments. The research results show that this scheme has excellent performance. Show more

Keywords: CP-ABE, blockchain, data security, data sharing

DOI: 10.3233/JIFS-189318

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2193-2203, 2021

Authors: Hou, Jingwen

Article Type: Research Article

Abstract: At present, online education evaluation models are insufficient when dealing with small-scale evaluation data sets. In order to discriminate the learner’s learning state, this paper further studies online teaching machine learning methods, and introduces adaptive learning rate and momentum terms to improve the gradient descent method of BP neural network to improve the convergence rate of the model. Moreover, this study proposes a deep neural network model to deal with complex high-dimensional large-scale data set problems. In the process of supervised prediction, this study uses support vector regression as a predictor for supervised prediction, and this study maps complex non-linear …relationships into high-dimensional space to achieve a linear relationship similar to low-dimensional space. In addition, in this study, small-scale teaching quality evaluation data sets and large-scale data sets are input into the model to perform experiments. Finally, the model proposed in this study is compared with other shallow models. The results show that the model proposed in this research is effective and advantageous in evaluating teaching quality in universities and processing large-scale data sets. Show more

Keywords: Support vector machine, decision tree, teaching quality, online education, evaluation model

DOI: 10.3233/JIFS-189218

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2193-2203, 2021

Authors: Li, Man | Bai, Ruifang

Article Type: Research Article

Abstract: With the deepening of people’s research on event anaphora, a large number of methods will be used in the identification and resolution of event anaphora. Although there has been some progress in the resolution of the current event, the difficult problems have not yet been completely resolved. This study analyzes the English information anaphora resolution based on SVM and machine learning algorithms and uses the CNN three-layer network as the basis to model the structure. Moreover, this study improves the semantic features by adding semantic roles and analyzes and compares the performance of the improved semantic features with those before …the improvement. In addition, this study combines semantic features to compare and analyze each feature combination and uses a dual candidate model to improve the system. Finally, this study analyzes the experimental results. The results show that the performance of the system using the dual candidate model is better than that of the single candidate model system. Show more

Keywords: SVM, machine learning, English information, anaphora resolution, feature recognition

DOI: 10.3233/JIFS-189219

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2205-2215, 2021

Authors: Yu, Yanan

Article Type: Research Article

Abstract: EMG signal acquisition is mostly used in medical research. However, it has not been applied in athletes’ sports state recognition and body state detection, and there are few related studies at present. In order to promote the application of EMG signal acquisition in sports, this study combined with the actual needs of athletes to construct an EMG signal acquisition system that can collect athletes’ motion status. At the same time, in order to improve the effect of EMG signal acquisition, a wavelet packet principal component analysis model is proposed. In addition, in order to ensure the recognition efficiency of athletes’ …motion state, this paper uses linear discriminant analysis method as the motion recognition assistant algorithm. Finally, this paper judges the performance of this research model by setting up comparative experiments. The research shows that the wavelet packet principal component analysis model performance is significantly better than the traditional algorithm, and the recognition rate for some subtle motions is also high. In addition, this study provides a theoretical reference for the application of EMG signals in the sports industry. Show more

Keywords: EMG signal acquisition, athlete, wavelet packet master analysis, motion recognition

DOI: 10.3233/JIFS-189220

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2217-2227, 2021

Authors: Geng, Xiao

Article Type: Research Article

Abstract: Due to the difficulty of athletes’ motion recognition, there are few studies on athletes’ specific motion recognition. Based on this, this study uses the acceleration sensor as the carrier, and uses human-computer interaction to transform the action of the athlete into a machine-identifiable action unit. At the same time, this paper combines the actual situation of human body motion to construct a human body motion model and builds a corresponding computer hardware and software platform. Moreover, this paper designs a classification recognition algorithm that can recognize the movement of athletes and builds SVM model based on machine learning for classification …and recognition. In addition, in this study, the effectiveness of the algorithm was studied through experimental comparison. Finally, the simulation analysis was carried out to obtain the corresponding research results, and the results were analyzed by combing statistics. The research shows that the proposed algorithm can classify and recognize the collected motion data, and it has certain effects on the theoretical analysis of athletes’ motion recognition. Moreover, the algorithm can perform motion quality analysis and provide theoretical reference for subsequent related research. Show more

Keywords: Acceleration sensor, machine learning, SVM model, motion recognition

DOI: 10.3233/JIFS-189221

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2229-2240, 2021

Authors: Deng, Liping | Deng, Yuanxiang | Bi, Zhuo

Article Type: Research Article

Abstract: Athletes’ sports detection has a heavy pressure on athletes’ training and post-injury rehabilitation. In the traditional mobilization test, there is no effective combination of exercise and rehabilitation, which directly leads to the athlete’s physical health cannot be guaranteed. Based on this, this study combines the current situation of the athletes’ field and the training ground, and uses monocular vision as the video input interface, and combines the monocular vision technology in the research. Moreover, in the research, this paper combines the human body model to construct an athlete’s human body model that adapts to monocular vision. At the same time, …this paper combines the image processing technology to transform the image of the monocular visual athlete into a skeleton model, so as to realize the modeling of the athlete’s movement. In addition, this paper combines the model to explore the indoor and outdoor athlete recovery techniques and validates the model by experiment. The research shows that the research model has certain effects, which can meet the actual needs, and can provide theoretical reference for subsequent related research. Show more

Keywords: Monocular vision, athlete detection, motion recovery, image processing

DOI: 10.3233/JIFS-189222

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2241-2252, 2021

Authors: Liu, Yuzhong | Ji, Yuliang

Article Type: Research Article

Abstract: The main purpose of the various methods of evaluating athlete feature recognition is to monitor the current health of the athletes, thereby providing some feedback on the quality of individual training. Based on deep learning and convolutional neural networks, this paper studies athlete target recognition and proposes a feature vector extraction method based on curvature zero point. Moreover, based on the ideas of deep learning and convolutional neural networks, this paper builds an athlete feature recognition model and optimizes the algorithm. In order to verify the feasibility and efficiency of feature extraction algorithm of the sport athletes proposed by this …paper and to facilitate comparison with other algorithms, this paper conducts an algorithm performance test on the sport athlete database. The research results show that the method proposed in this paper has certain advantages in the feature extraction of athletes and can be used in subsequent sports training systems. Show more

Keywords: Deep learning, convolutional neural network, sports, athlete recognition, feature extraction

DOI: 10.3233/JIFS-189223

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2253-2263, 2021

Authors: Sun, Changxin | Ma, Di

Article Type: Research Article

Abstract: In the research of intelligent sports vision systems, the stability and accuracy of vision system target recognition, the reasonable effectiveness of task assignment, and the advantages and disadvantages of path planning are the key factors for the vision system to successfully perform tasks. Aiming at the problem of target recognition errors caused by uneven brightness and mutations in sports competition, a dynamic template mechanism is proposed. In the target recognition algorithm, the correlation degree of data feature changes is fully considered, and the time control factor is introduced when using SVM for classification,At the same time, this study uses an …unsupervised clustering method to design a classification strategy to achieve rapid target discrimination when the environmental brightness changes, which improves the accuracy of recognition. In addition, the Adaboost algorithm is selected as the machine learning method, and the algorithm is optimized from the aspects of fast feature selection and double threshold decision, which effectively improves the training time of the classifier. Finally, for complex human poses and partially occluded human targets, this paper proposes to express the entire human body through multiple parts. The experimental results show that this method can be used to detect sports players with multiple poses and partial occlusions in complex backgrounds and provides an effective technical means for detecting sports competition action characteristics in complex backgrounds. Show more

Keywords: SVM, sports competition, visual system, simulation

DOI: 10.3233/JIFS-189224

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2265-2276, 2021