Scientific Journal of Technology最新文献

{"title":"Study on Correlation between Enrollment Motivation and Learning Engagement of Postgraduates of English Education","authors":"Hejin Yuan","doi":"10.54691/sjt.v5i7.5285","DOIUrl":"https://doi.org/10.54691/sjt.v5i7.5285","url":null,"abstract":"With the continuous promotion of the reform of higher education system, as well as the continuous deepening of the popularity of higher education, our country's postgraduate education has entered a new development stage. In the past ten years, the enrollment of various majors has been expanding, and the number of students has also achieved substantial growth. Among them, the proportion of postgraduates of English education is also expanding. For a postgraduate student majoring in English Education, whether he has the correct admission motivation, whether he agrees with the chosen major and whether he is interested in the major he is learning are very important for his professional learning and his own development. In the study of second language acquisition, motivation and learning engagement are both important factors that influence learners' individual differences in second language learning. However, as an important part of learning motivation, the motivation of admission has not been paid enough attention in the previous research field of motivation. In addition, there are few researches on the correlation between enrollment motivation and learning engagement at home and abroad, and few take master of English education as the research object. Therefore, based on relevant theories and researches, this paper takes the full-time postgraduates of English Education of Class 2021 of University X as the research subjects, explores their enrollment motivation and learning engagement through questionnaire, and analyzes the correlation between them. In order to make full use of the motivation to improve the academic input of master of subject English education to provide some feasible suggestions. The research focuses on the following three questions: (1) What is the enrollment motivation of postgraduates of English Education? (2) How do the postgraduates of English Education engage in learning? (3) What are the reasons that influence the learning engagement of postgraduates of English Education? It is found that students’ enrollment motivation is diversified and the degree of learning engagement is insufficient. Besides, most students are  lack of scientific planning during postgraduate period. Moreover, most of students are lack of educational belief and practice. The study makes some suggestions to address these problems.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121483155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Discussion on the Application of Task-based Teaching Method in High School English Reading Teaching","authors":"Yue Ding","doi":"10.54691/sjt.v5i7.5292","DOIUrl":"https://doi.org/10.54691/sjt.v5i7.5292","url":null,"abstract":"Task-based teaching method is more and more widely used in high school English reading teaching, and teachers should pay attention to its application principles and strategies when using this teaching method. In this paper, for example, Unit 2 Healthy Eating, a compulsory part of the Humanistic Version, is divided into three parts: pre-reading, reading and post-reading, and tasks are set in each part. The tasks in the pre-reading section are to allow students to have a brief review of the content of the previous lesson and to introduce the reading topic of this lesson; the tasks in the reading section are to allow students to understand and analyze the structure and content of the text in depth, and the importance of the activities in the reading section can be appreciated from the number of tasks designed; and the tasks in the post-reading section are to allow students to produce an effective output of the learning in this lesson. Task-based teaching can break down the difficulty of junior high school students' English reading learning, let students experience the fun of collaboration with group cooperation, enliven the classroom atmosphere, and make the classroom sessions closely connected.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115602178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction and Analysis of Blood Glucose Levels based on Tabnet","authors":"Huazhong Yang","doi":"10.54691/sjt.v5i7.5288","DOIUrl":"https://doi.org/10.54691/sjt.v5i7.5288","url":null,"abstract":"Background: Blood glucose level prediction plays a significant role in the management of diabetes. Accurate prediction of blood glucose levels helps patients and doctors to make informed decisions regarding diet, exercise, and medication. The use of machine learning algorithms for blood glucose prediction has gained attention in recent years. Tabnet is one such algorithm that has shown promising results in various prediction tasks. Aim: The aim of this study is to evaluate the performance of Tabnet for blood glucose level prediction and compare it with other commonly used algorithms, including LR, DT, SVM, RF, and EN. Methods: A dataset of blood glucose levels of diabetic patients was used for this study. The dataset was preprocessed, and features were selected using correlation-based feature selection. Tabnet and other algorithms were trained on the dataset using 5-fold cross-validation. The performance of each algorithm was evaluated using root mean squared error (RMSE) and mean squared error (MSE). Results: The experimental results showed that Tabnet performed the best in terms of RMSE and MSE, with values of 0.5097 and 0.2523, respectively. The LR algorithm had an RMSE of 0.5126 and an MSE of 0.2629, while the DT algorithm had an RMSE of 0.7543 and an MSE of 0.5689. The SVM algorithm had an RMSE of 0.5165 and an MSE of 0.2663, while the RF algorithm had an RMSE of 0.5188 and an MSE of 0.2691. The EN algorithm had an RMSE of 0.5547 and an MSE of 0.3077. Conclusion: In this study, Tabnet was found to be the best algorithm for blood glucose level prediction compared to other commonly used algorithms. The results demonstrate the potential of Tabnet for predicting blood glucose levels in diabetic patients, which can assist in effective diabetes management.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122544543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"English Thematic Meaning Exploring Class under the New English Curriculum","authors":"Jingwen Yang, Yutong Yang","doi":"10.54691/sjt.v5i7.5284","DOIUrl":"https://doi.org/10.54691/sjt.v5i7.5284","url":null,"abstract":"The New English Curriculum(2017 edition, 2020 revision) advocated that English teachers should pay attention to meaning of the theme in teaching and formulate overall goals of teaching units pointing to the development of core competences of English. The author discussed the connotation and importance of thematic meaning exploration in English classroom to students' English learning, and explored the implementation situation and paths in China.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125511490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Benefits and Defects of the Silent Way","authors":"Yuan Liu","doi":"10.54691/sjt.v5i7.5289","DOIUrl":"https://doi.org/10.54691/sjt.v5i7.5289","url":null,"abstract":"The Silent Way(SW), introduced by Celeb Gattegno, is well known for the use of Cuisenaire rods to the teaching of sounds of foreign language by different colors. And it is also known for its tenet that teachers should be as silent as possible in class and that learners should speak as much as possible. As one of the famous eight teaching methods in western academy, it used to be an important foreign language teaching theory. This unique teaching method has significant benefits and defects, which is the main reason why it has disappeared from its popularity. The purpose of this paper is to briefly introduce the features and explore the two aspects of the silent way.Also it will combine the flipped classroom with the silent way to explore the further application of it.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121331579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of Charging Station Information Monitoring System based on CAT.1","authors":"Yuting Zhao, Chen Li","doi":"10.54691/sjt.v5i6.5156","DOIUrl":"https://doi.org/10.54691/sjt.v5i6.5156","url":null,"abstract":"Intelligent charging station information monitoring system is significant to the construction of intelligent charging stations. A charging station information monitoring system is designed based on 4G CAT.1. Sensors are used to detect different information like electricity usage and positioning. A rely is also used to control the charging station by receiving remote control signal from cloud platform. After debugging, the system can realize the remote information monitoring.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133339900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Sequence Recommendation Algorithm based on GRU and Attention","authors":"B. He, Kaiwei Zhu, Qingyang Lai","doi":"10.54691/sjt.v5i6.5155","DOIUrl":"https://doi.org/10.54691/sjt.v5i6.5155","url":null,"abstract":"In recent years, with the booming development of social networks and e-commerce, users have increasingly convenient access to information, while a large amount of data continues to emerge, leading to more and more serious information overload. To alleviate the problem of information overload, recommendation systems have emerged to assist users in sifting through massive amounts of information to find content that meets their needs. Sequential recommendation, as a form of recommendation system, mainly analyzes the interaction behavior between users and items, models user characteristics, and then uses various methods to capture users' long-term and short-term preferences to recommend items of interest to users. Based on the perspective of user preference change over time, this paper provides an in-depth analysis of the current research progress and methods of user behavior sequence recommendation. At the same time, this paper proposes corresponding solution strategies for the problems of cold start, sparse matrix and noise interference faced by traditional recommendation systems. Finally, we will discuss the challenges and future research directions of recommendation systems to provide the theoretical basis for further improvement of recommendation systems.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130526030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of Excellent English Teachers' Classroom Feedback in Junior High School under the New Curriculum Reform","authors":"Fu Yuan","doi":"10.54691/sjt.v5i6.5157","DOIUrl":"https://doi.org/10.54691/sjt.v5i6.5157","url":null,"abstract":"In this paper, the video lessons of three excellent junior high school English teachers from the National Education Resources Public Service Platform (NERSP) were selected for the study, and the teacher feedback in their classroom discourse was collected and quantitatively analyzed through classroom observation. The results showed that, in general, the excellent English teachers tended to use positive affirmative feedback in classroom feedback, and tended to choose to guide students' responses and thinking when giving positive negative feedback, and negative feedback was almost never used. It is hoped that these findings will provide positive implications for English teachers' effective use of classroom feedback.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123620284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis and Study of Fatigue Driving Detection System based on Multimodal Fusion","authors":"Changjin Qian, Qianzhi Jiao, Ruping Zhang, Zheng Liu","doi":"10.54691/sjt.v5i5.4999","DOIUrl":"https://doi.org/10.54691/sjt.v5i5.4999","url":null,"abstract":"Fatigue driving always endangers road traffic safety and is one of the main causes of traffic accidents. How to effectively monitor and determine the fatigue driving state, so as to realize the fatigue early warning, has become a hot spot of scientific research. The traditional detection methods are mostly based on a certain human physiological parameters, through the monitoring of the physiological parameters changes, to complete the determination of the fatigue state. Compared with the traditional detection methods, the fatigue detection method based on computer vision has the advantages of accurate and reliable detection results, detection not relying on wearable devices, and good human-computer interaction experience. However, in the specific algorithm application scenarios, there are often interference from environmental factors such as partial occlusion of the inspected image, low image resolution, complex illumination of the detection environment, and unstable acquisition equipment. In the face of many challenges, how to effectively improve the detection accuracy of fatigue state, and the algorithm has the practical application space, still needs to be explored. The traditional fatigue detection method based on facial information often detects and analyzes a certain subordination. Due to the detection of individual differences and the fuzzy definition of fatigue state, the algorithm has the problems of high recognition error rate and poor robustness. Moreover, the single attribute model separates the potential integration and exclusion relationship between facial attributes. At the same time, the huge model size and complex model structure also limit the actual implementation of the algorithm. In view of these urgent problems, this paper first proposes the fusion model of face detection and head posture analysis based on the multi-task convolutional neural network (MTCNN). The model uses the architecture strategy of multi-task cascade to complete the complete facial posture analysis task while completing the facial detection task. Secondly, based on the lightweight convolutional neural network (SqueezeNet) of the network cascade, the facial key point detection network is designed to obtain the 72-point key point coordinates of the face. For the obtained facial attribute information, extract fatigue features and propose a fatigue determination method of multimodal fusion. Finally, combined with the research results, the construction of the online fatigue detection and early warning system platform was completed.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"350 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115277048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From the Perspective of the Labor Market, The Opportunities and Challenges Brought by the New Generation of Artificial Intelligence Technologies such as ChatGPT are Analyzed","authors":"J. Liu","doi":"10.54691/sjt.v5i5.4997","DOIUrl":"https://doi.org/10.54691/sjt.v5i5.4997","url":null,"abstract":"The emergence of artificial intelligence has changed the way people live and work, with the update and iteration of technology, artificial intelligence is widely used in many fields, and at the same time, the labor market in the era of artificial intelligence is also a relatively differentiated market. In this context, the application of a new generation of artificial intelligence technology has affected the labor market, on the one hand, a large number of repetitive jobs in the next few years may be replaced by automation technology with higher productivity, efficiency and lower error rate, which means that a huge number of low-skilled workers face the problem of \"machine substitution\" unemployment; On the other hand, with the upgrading of technology, new jobs are created, and there is a large demand for labor with new skills, new experience and new knowledge, especially high-skilled, high-knowledge, and highly specialized labor with creativity and innovation ability. This paper argues from many aspects that the two-way impact of artificial intelligence technology on the labor market is far more beneficial than harmful, and we must pay attention to the impact of the vigorous development of artificial intelligence on the labor market. In the next decade, the impact of artificial intelligence on the labor market will become increasingly prominent, and it is necessary to pay close attention to technological changes, formalize the opportunities and challenges brought by the new generation of artificial intelligence technology to the labor market, and keep pace with the times to adapt to future labor market changes.","PeriodicalId":336556,"journal":{"name":"Scientific Journal of Technology","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132646479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}