{"title":"Practice and Thinking of “Data Structure and Programming” Based on Blended Teaching","authors":"Tang Yanqin, Chen Weiwei, Wu Yongfen, Yuan En, S. Lei, Zhang Wenyu","doi":"10.1109/ITME53901.2021.00127","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00127","url":null,"abstract":"In order to improve the programming ability of students, teachers are actively seeking various new methods for research and practice. Based on the “Data Structure and Program Design” course, we have carried out the exploration and practice of blended teaching, formulated instructional design based on OBE theory, constructed the teaching mode of online preview before class, offline class + online test in class, and online test after class. Practice shows that these measures improve the students' ability to analyze, express and solve problems.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"412 1","pages":"600-604"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77229782","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":"Online Teaching System Combining Information Feedback and Teaching Evaluation","authors":"Wei Li, Hong Wang","doi":"10.1109/ITME53901.2021.00099","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00099","url":null,"abstract":"Traditional teaching model is not efficient, as teachers cannot quickly change the focus of teaching based on students' misunderstandings, and students cannot promptly reflect the problems encountered to teachers. Fortunately, the rapid development of information technology brings us many new concepts, such as video teaching, live teaching, and big educational data. They profoundly change the traditional teaching methods and further promote the development of e-Education. Therefore, this article proposes an online course teaching system that combines information feedback and teaching evaluation. Specially, students feedback their questions to teachers through the feedback module which collects students' questions to generate teaching evaluations for this class. At the same time, teachers can check the teaching effects of this class through the evaluation module, reply to students' questions, and adjust subsequent teaching content. Our proposed model enables teachers to grasp the key points of teaching and improves students' learning efficiency. Finally, we implemented the system with Java Web technology and applied the system to the actual teaching process. The experimental results show that the combination of information feedback and teaching evaluation can significantly improve the teaching effect.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"17 1","pages":"465-469"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80339451","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}
Xining Huang, Zhenchang Zhang, Jiaxiang Lin, DanDan Bai
{"title":"SAD: A novel method for ensemble outlier detection with dynamic prediction label","authors":"Xining Huang, Zhenchang Zhang, Jiaxiang Lin, DanDan Bai","doi":"10.1109/ITME53901.2021.00060","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00060","url":null,"abstract":"Majority voting outlier detection is a traditional method that has been widely used in many fields. It uses the strategy of majority vote to make a prediction, which makes it perform poorly in acc index sometimes. In this paper, a method called second anomaly detection (SAD) is proposed, to detect the connection of outlier scores between each other and decide the advantage strength of a sample when defining the outlierness, which is expressed as $a$ factor, then the prediction label of a sample is ascertained according to the a value. Finally, SAD is compared with several majority voting anomaly detection algorithms in accuracy performance, such as iForest, HBOS, AutoEncoder, it is shown that the proposed algorithm SAD is effective.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"24 1","pages":"257-260"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84625628","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":"Neural Network-Based Prescription of Chinese Herbal Medicines","authors":"Wen Zhao, Weikai Lu, Changen Zhou, Zuoyong Li, Haoyi Fan, Xuejuan Lin, Zhaoyang Yang, Candong Li","doi":"10.1109/ITME53901.2021.00084","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00084","url":null,"abstract":"Objective: To develop a neural network model that recommends traditional Chinese medicine (TCM) herbal prescriptions. Methods: We constructed a new dataset of diagnosis and treatment knowledge from the Treatise on Febrile Diseases. Based on TCM's logical principles of “syndrome differentiation” and “state recognition”, a back-propagation neural network model is proposed that simulates clinical diagnosis and treatment. Results: The proposed model is a four-layer BP neural network. Experiments on the constructed dataset show that the proposed method achieved the best precision, recall, and F1-scores. Conclusion: The proposed method provides much more accurate herbal prescription recommendations than logistic regression.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"51 1","pages":"390-393"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85096634","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":"Knowledge Distillation based Lightweight Adaptive Graph Convolutional Network for Skeleton-based action recognition","authors":"Zhongwei Qiu, Hongbo Zhang, Qing Lei, Jixiang Du","doi":"10.1109/ITME53901.2021.00045","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00045","url":null,"abstract":"Skeleton-based human action recognition has received extensive attention due to its easy access to human skeleton data. However, the current mainstream skeleton-based action recognition methods have more or less the problem of overlarge parameters, which makes it difficult for these methods to meet the requirements of timeliness and accuracy. To solve this problem, we improve attention-enhanced adaptive graph convolutional neural network (AAGCN) to obtain a high-precision improved AAGCN (IAAGCN), and use it as teacher model to conduct knowledge distillation of our lightweight IAAGCN (LIAAGCN). The results of the tests on the NTU-RGBD dataset are validated by knowledge distillation to allow LIAAGCN to maintain good accuracy while keeping the parameters small.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"16 1","pages":"180-184"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74689267","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 a Worm Virus Propagation Model Based on Differential Equation","authors":"Yu Xiehua, Li Shaozi","doi":"10.1109/ITME53901.2021.00057","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00057","url":null,"abstract":"The reasonable design of worm propagation model can provide a basis for accurately predicting and analyzing the propagation law and mechanism of worm malicious code in the Internet, and help to further carry out the research on worm protection, detection and suppression technology. This paper introduces the transmission model of infectious diseases in the field of biopathology to analyze the transmission mechanism of network worms, and a class of network worm virus transmission model based on differential equations is established by using LaSalle invariant set principle and orbital stability theory of differential equations. The results show that the basic regeneration number is the threshold value of eliminating worm virus and keeping worm virus in a certain range. When the basic regeneration number is less than or equal to 1, worm virus is eliminated effectively. When the basic regeneration number is greater than 1, the worm virus will persist or stabilize in a certain state.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"21 1","pages":"242-245"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73801056","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":"Skeleton Based Action Quality Assessment of Figure Skating Videos","authors":"Huiyong Li, Qing Lei, Hongbo Zhang, Jixiang Du","doi":"10.1109/ITME53901.2021.00048","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00048","url":null,"abstract":"Action quality assessment(AQA) aims at achieving automatic evaluation the performance of human actions in video. Compared with action recognition problem, AQA focuses more on subtle differences both in spatial and temporal dimensions during the whole executing process of actions. However, most existing AQA methods tried to extract features directly from RGB videos through a 3D ConvNets, which makes the features mixed with useless scene information. To overcome this problem, We propose a deep pose feature learning AQA method that captured detailed and meaningful representations for skeleton information to discover the subtle motion difference of AQA problem. We first apply pose estimation method to obtain human skeleton data from RGB videos. Then a spatio-temporal graph convolutional network (ST-GCN) is employed to extract the dynamic changes of skeleton data and obtain the representative pose features. Finally, a regressor composed of three fully connected layers is developed to reduce the dimension of the obtained pose features and predict the final score. Experiments on MIT figure skating dataset have been extensively conducted, and the results demonstrate that the proposed method has achieved improvements that outperformed current state-of-the-art methods.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"64 1","pages":"196-200"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90428058","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":"11th International Conference on Information Technology in Medicine and Education","authors":"","doi":"10.1109/itme53901.2021.00002","DOIUrl":"https://doi.org/10.1109/itme53901.2021.00002","url":null,"abstract":"","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87270383","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}
Wang Haipeng, Tang Tiantian, M. Zhongyang, Zheng Yuanjie, Wang Hong, Jia Weikuan, Guo Qiang
{"title":"Analysis of Intelligent Personalized Learning Mode in Big Data Era","authors":"Wang Haipeng, Tang Tiantian, M. Zhongyang, Zheng Yuanjie, Wang Hong, Jia Weikuan, Guo Qiang","doi":"10.1109/ITME53901.2021.00116","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00116","url":null,"abstract":"With the advent of the era of big data, a new generation of intelligent information processing technology develop rapidly and vigorously, which has greatly promoted the innovative reform in the concept of education and teaching. The aim of this research is to promote learning efficiency and teaching precision through using big data technology and intelligent means. An intelligent personalized learning mode is built, which mainly including four aspects: academic analysis, intelligent push, individual feedback, multiple evaluations. The mode can conduct in-depth mining and analysis of student data, enrich students' off-class learning resources, intelligently push students' individual learning feedback in real time, and conduct multiple evaluations for each student. Consequently the mode completely changing the deficiency of the traditional learning mode, including one-sided cognition of each students, insufficient learning resources, lack of real-time feedback and single learning evaluation. The mode can form an intelligent and efficient personalized learning environment based on making the overall learning process quantifiable, real-time feedback, and evaluable.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"21 1","pages":"548-551"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78410240","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":"Construction Path Exploration on the External Practice Teaching Bases under the Background of New Engineering","authors":"Zhong-hua Luo","doi":"10.1109/ITME53901.2021.00130","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00130","url":null,"abstract":"The external practice teaching bases for college students is an important mode for collaborative education between universities and enterprises. During the process of talent training in applied universities, the external practicing and teaching plays a key role in promoting students to consolidate professional knowledge, improving engineering practical ability and innovation ability, and cultivate new engineering talents urgently needed for enterprises. In view of the problems existing in the construction of external practicing and teaching bases, combined with professional characteristics and enterprise needs, the strategies of practical teaching bases construction and management are discussed in the paper. The practice of bases construction in recent years has shown that students' engineering practical ability, teamwork ability and employment competitiveness have been significantly improved, and the quality of practical teaching has been steadily improved, which provides a valuable reference for innovating practical teaching reform in application-oriented universities.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"34 1","pages":"614-617"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79288827","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}