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

Authors: Li, Na

Article Type: Research Article

Abstract: Text-to-voice conversion is the core technology of intelligent translation system and intelligent teaching system, which is of great significance to English teaching and expansion. However, there are certain problems with the characteristics of factors in the current text-to- voice conversion. In order to improve the efficiency of text-to- voice conversion, this study improves the traditional machine learning algorithm and proposes an improved model that combines statistical language, factor analysis, and support vector machines. Moreover, the model is constructed as a training module and a testing module. The model combines statistical methods and rule methods in a unified framework to make …full use of English language features to achieve automatic conversion of letter strings and phonetic features. In addition, in order to meet the needs of English text-to- voice conversion, this study builds a framework model, this study analyzes the performance of the model, and designs a control experiment to compare the performance of the model. The research results show that the method proposed in this paper has a certain effect. Show more

Keywords: Machine learning, improved algorithm, phonetic conversion, English, text-to-voice conversion

DOI: 10.3233/JIFS-189316

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2743-2753, 2021

Authors: Wang, Xingguo | Wu, Fan | Liu, Tao

Article Type: Research Article

Abstract: The eco-economic activity modeling is an effective method to analyze the eco-economic system. From the existing models, it can be seen that the disadvantages of eco-economic activity modeling are that the model evaluation accuracy is not high, and the system stability is poor. In order to improve the evaluation effect of the ecological economic activity, based on the machine learning algorithm, this study establishes a PNN evaluation model based on the probabilistic neural network classification principle. Moreover, in this study, a certain number of learning samples are generated by random interpolation of evaluation index standards, and then Matlab software is …used to simulate the training and test of the model, and the feasibility and effectiveness of the model are verified by statistical indicators. In addition, this study combines the actual case to analyze the performance of the model and analyze the test results by statistical analysis methods. The research results show that the model proposed in this study has certain effects and high stability. Show more

Keywords: Machine learning, ecological economy, economic activity, simulation analysis

DOI: 10.3233/JIFS-189317

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2755-2766, 2021

Authors: Zhang, Gaiqin

Article Type: Research Article

Abstract: At present, experts and scholars have conducted more research on the ability of colleges and universities to transform scientific and technological achievements. However, they pay more attention to the holistic research on the transformation of scientific and technological achievements in colleges and universities across the country, while rarely divide the research objects in detail. In order to improve the evaluation effect of scientific and technological achievements in colleges and universities, this paper builds a university science and technology achievement evaluation system based on machine learning and image feature retrieval on the basis of analyzing the needs of high-tech achievement evaluation. …The system has certain flexibility. Moreover, this study selects the appropriate network architecture based on the actual data and mission objectives of the high-tech achievement evaluation. In addition, this paper proposes a FT-GRU model of a gated recurrent unit network incorporating N nearest neighbor text, and a more stable model structure is obtained through system optimization. Finally, this study designs experiments to verify the performance of the model. The research results show that the university science and technology achievement evaluation system based on machine learning and image feature retrieval constructed in this study meets the expected goals and has certain practical significance. Show more

Keywords: Machine learning, image features, feature retrieval, scientific and technological achievements in colleges and universities

DOI: 10.3233/JIFS-189319

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2779-2789, 2021

Authors: Lin, Liu

Article Type: Research Article

Abstract: There is a certain subjectivity in the teaching evaluation process, which leads to a low accuracy of the intelligent scoring system. In order to promote the intelligent development of teaching evaluation, based on machine learning, this study briefly introduces the background and current status of teaching evaluation, and describes in detail the relevant algorithm principles of data analysis and modeling using data mining technology and machine learning methods. Moreover, this study describes the establishment process of the traditional classroom teaching evaluation system and uses the classification algorithm in machine learning in the construction of evaluation models to further improve the …scientificity and feasibility of teaching evaluation. In addition, in this study, empirical algorithm is used as the basic algorithm to evaluate teaching quality, and the topic word distribution obtained by joint model training is used as the original knowledge. Finally, this research analyzes the performance of this research system through a control experiment. The research results show that the scores of the research model are close to the standard manual scores and can provide a theoretical reference for subsequent related research. Show more

Keywords: Bayesian algorithm, improved algorithm, teaching evaluation, text features

DOI: 10.3233/JIFS-189320

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2791-2801, 2021

Authors: Zhao, Shujuan | Luo, Junqian | Wei, Shiqing

Article Type: Research Article

Abstract: Online classroom teaching is difficult to identify students’ learning status in real time. Therefore, we need to combine intelligent image recognition technology to analyze student status through eye movement features. This study solves the problem of inaccurate positioning of the initial position of the shape model in the process of eyelid matching through machine learning. Moreover, this study improves the algorithm and uses the AK-EYE model based on the combination of ASM algorithm and Kalman filtering to establish a local feature model for each feature point. According to the gray information in the normal direction of the feature point, the …local gray information is modeled. After training through the sample set to obtain the state model, the target eye can be searched, and the pose parameters can be determined. Finally, this study designs a control experiment to analyze the performance of the model proposed in this study. The research shows that the algorithm proposed in this paper has a high recognition accuracy and has a practical basis, which can be used as one of the subsequent classroom teaching system algorithms. Show more

Keywords: Machine learning, classroom recognition, student characteristics, eyeball characteristics

DOI: 10.3233/JIFS-189321

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2803-2813, 2021

Authors: Zhang, Rongbo | Zhao, Weiyu | Wang, Yixin

Article Type: Research Article

Abstract: There are different paradigms in educational technology. Under the background of big data era, data science, learning analysis and education have made great achievements. In the field of education under big data, all kinds of new paradigms are constantly emerging and have achieved very good results in actual education. In the era of education big data, how to fully tap the value of big data for online education practice, decision-making, evaluation and research, and how to avoid the risk of big data are important issues in the current education reform and development. This paper analyzes the application of the current …scientific paradigm in education, constructs the construction paradigm of online education evaluation model, and puts forward a new education concept in order to promote the development of the new paradigm of big data online education technology research. Applying this paradigm, a series of educational evaluation models are constructed from the macro, miso and micro levels, which play a positive role in the research, decision-making, practice and evaluation of related fields. Show more

Keywords: Big data, online education, scientific paradigm, smart classroom

DOI: 10.3233/JIFS-189322

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2815-2825, 2021

Authors: Lou, Feiyan | Kong, Depeng | Wang, Zhiwei

Article Type: Research Article

Abstract: Agricultural IoT technology realizes the technology of precise, intelligent, and scientific management of agricultural production. Accurate perception and efficient transmission of farmland data is the basis for precision and smart agriculture. Based on the consideration of WSN distributed monitoring sensor nodes, this paper designs a multi-core sensing agricultural Internet of Things monitoring system based on the low efficiency of existing single-core computing and the inability to adapt to massive sensing data node operations. Multi-core data fusion was simulated and analyzed. Firstly, a method for constructing key value subspaces based on logical landmarks is proposed. The node set maintained by the …subspace adds local physical location features to coordinate node discovery and routing. Compared with the traditional key value space, the subspace has a higher system priority, which makes the route local priority, thus realizing traffic localization. The simulation results show that the distributed agricultural network data aggregation algorithm based on multi-core perception can significantly reduce the energy consumption of sensor nodes in WSN, prolong the service life of WSN, and greatly improve the computational efficiency and data accuracy. Show more

Keywords: Agricultural IoT, multi-core sensing, single-core, WSN

DOI: 10.3233/JIFS-189323

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2827-2837, 2021

Authors: Wang, Juan | Zhao, Bo

Article Type: Research Article

Abstract: Based on the big data cloud computing platform with online teaching at the application scenario, the functional modules of the system are divided according to the user’s functional requirements for the system, and the system is briefly designed to determine the system architecture. The core functional modules of the system include an online experiment module, online classroom module, video course module, online examination module and basic function module. Using software engineering methods, the design process of the above functional modules is described, and the realization process of key functions is elaborated in detail. Taking into account the security requirements for …video transmission in the video course module, the streaming media on-demand technology based on the RTMP protocol is adopted. In order to meet the highly interactive requirements of the online classroom module, the rich Internet application development technology based on Flex4.0 is adopted. A distributed Docker cluster is used in the online experiment module to provide students with an experimental environment. Taking into account the future business growth of the system and the need for dynamic expansion, the load balancing technology based on Nginx reverse proxy is adopted. In the test phase, the black box test method was used to test the system’s functions, and the system was non-functionally tested on three aspects of compatibility, security, and system performance. The online teaching platform is designed in this article not only has basic function modules, but also starts from the safety performance of the system. When designing the system module, a safety function module is added, and the user data are encrypted using the MD5 algorithm, and through access control technology and system backup Ensure data security. This article combines the convenience of online learning with the practicality of computer courses to create a set of one-stop teaching platforms with rich functions entered on online experiments. The system has good support for the key links in the teaching process, and can effectively improve the learning efficiency of students and the teaching efficiency of teachers. Show more

Keywords: Cloud computing, big data, online education, interactive applications

DOI: 10.3233/JIFS-189324

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2839-2849, 2021

Authors: Bai, Xujing | Li, Jiajun

Article Type: Research Article

Abstract: In order to meet the rapid growth of educational data, to automate the processing of educational data business, improve operational efficiency and scientific decision-making, a statistical analysis platform for educational data is designed, and Hadoop-based education is designed from the conceptual model, logical model, and physical model. Data warehouse; designed and researched the storage of educational multidimensional data model; and then compared and tested the query efficiency and storage space of HBase and Hive in the Hadoop ecosystem based on educational big data, and used HBase+Hive integrated architecture to complete the education data The statistical analysis tasks and the function …of the educational data statistical analysis platform are transplanted to the educational big data platform based on Hadoop; the performance test of the conversion efficiency of educational big data in the ETL link is performed, which illustrates the effectiveness of the educational big data platform based on Hadoop. An object-oriented analysis and design method used to analyze and design the business requirements of teaching resource sharing services. From the perspective of managers and teachers, use case diagrams and use case description tables to define system business requirements. The role of teachers is further refined as the theme of teaching and research. Participants, participants in the subject teaching and research, initiators of simulation teaching research and development, participants, famous teachers, high-quality course judges and experts. The recording, accumulation, statistics and analysis of students’ learning behaviors will provide more valuable applications for school education. Show more

Keywords: Digitalization, educational resources, big data platform, visit statistics

DOI: 10.3233/JIFS-189325

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2851-2860, 2021

Authors: Xie, Juan | Yang, Yan

Article Type: Research Article

Abstract: This article first provides an overview of the Internet of Things technology, mainly analyzing the characteristics of the Internet of Things technology and the impact of core technologies on education reform; secondly, it studies the specific impact of the Internet of Things technology on the education reform of local applied universities, which is mainly divided into three On the one hand, it promotes the construction of smart campus, the second is the realization of personalized learning methods, and the third is the promotion of smart teaching. Subsequently, the intelligent teaching based on the intelligent robot platform was proposed and the …teaching demonstration was carried out. This research conducted an empirical study on third-year university students as the objects of teaching implementation. In the preparatory stage of teaching, the micro-curriculum of guided learning is produced, teaching activities are designed, and the study attitude and learner satisfaction questionnaire and interview outline are compiled. After the empirical teaching, analyzing the empirical results and related data, it is found that the application of intelligent robots in science courses can stimulate students’ interest in and enthusiasm in science courses; it can improve students’ creative thinking level and students’ learning satisfaction. Students’ perceived ease of use and perceived usefulness of the intelligent robot platform will affect students’ learning satisfaction, thereby affecting the teaching effect. Show more

Keywords: Internet of Things, college education, reform: teaching mode, evaluation system

DOI: 10.3233/JIFS-189326

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2861-2870, 2021