2021 11th International Conference on Information Technology in Medicine and Education (ITME)最新文献_第8页

Application of Collaborative Learning in the Course of “Computer Network Technology” in Secondary Vocational School 协同学习在中职《计算机网络技术》课程中的应用

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00117

Sen Wang, Fu Xie, Yiming Jia

{"title":"Application of Collaborative Learning in the Course of “Computer Network Technology” in Secondary Vocational School","authors":"Sen Wang, Fu Xie, Yiming Jia","doi":"10.1109/ITME53901.2021.00117","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00117","url":null,"abstract":"With the continuous development of China's economic structure, vocational education has received unprecedented attention. More and more students begin to choose secondary vocational education. What teaching methods can be used to teach secondary vocational students more pertinently, which is a problem that needs to be discussed. In order to explore the influence of collaborative learning in the teaching process of secondary vocational schools, this article takes the course of “Computer Network Technology” as an example to explore the application of collaborative learning in the course of “Computer Network Technology” in secondary. The results show that compared with the traditional teaching model, collaborative learning can pay more attention to students' problem-solving ability and team cooperation ability. Through collaborative learning, students' autonomy is improved, and the sense of collaboration is enhanced. Therefore, it is necessary to introduce collaborative learning in the teaching process of secondary vocational schools to stimulate learning motivation and improve students' literacy.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"20 1","pages":"552-555"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84645866","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}

引用次数: 0

Research on the necessity of accelerating the embedding of information technology in the education of traditional leather manufacturing industry 加快信息技术嵌入传统皮革制造业教育的必要性研究

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00114

Ruihu Chen, Fengting Jia, Yafei Sun, R. Luo

{"title":"Research on the necessity of accelerating the embedding of information technology in the education of traditional leather manufacturing industry","authors":"Ruihu Chen, Fengting Jia, Yafei Sun, R. Luo","doi":"10.1109/ITME53901.2021.00114","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00114","url":null,"abstract":"With the rapid development of science and technology, the drawbacks of talent training based on traditional industries gradually emerge. Due to the slow development of the profession, it often leads to low professional identity, which brings new challenges to the cultivation of talents in universities. The new generation of information technology brings new vitality to the development of traditional industries, and the traditional production modes are transformed to intelligent production to improve the market competitiveness of products and industries. In this paper, the traditional leather industry is the object of study, and the current situation of leather talents training in colleges and universities in recent years is investigated. The impact of information technology on the leather industry and the development of the direction of leather professional higher education are analyzed. Finally, the reform strategy of leather professional talent training under the opportunity of new generation of information technology is proposed.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"53 1","pages":"537-540"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89475831","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}

引用次数: 0

Research on Teaching Methods in Secondary Vocational School based on CiteSpace 基于CiteSpace的中职教学方法研究

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00103

Xueyu Che, Xiaomei Yu, Wenqian Sun, Shuang Ma, Xiangwei Zheng

引用次数: 0

The Applications of Personalized Micro-videos in Computer Network Course Teaching 个性化微视频在计算机网络课程教学中的应用

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00104

Wenxiang Fu, Xiaomei Yu, Zhaokun Gong, Xueyu Che, Qian Mao, Yan Li

引用次数: 0

Face Classification Based on Multi-task Gaussian Process Regression and Chinese Medicine Five Element System 基于多任务高斯过程回归和中医五行系统的人脸分类

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00083

Wu Qing-song, Su Song-zhi, Wu Chang-wen

{"title":"Face Classification Based on Multi-task Gaussian Process Regression and Chinese Medicine Five Element System","authors":"Wu Qing-song, Su Song-zhi, Wu Chang-wen","doi":"10.1109/ITME53901.2021.00083","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00083","url":null,"abstract":"TCM(Traditional Chinese Medicine) physical classi-fication system based on “Five Elements” is the foundation and core material of physical study, and it is a classification system appropriate for a group's physical characteristics. Obtaining appropriate physical classification can aid in disease diagnosis efficiency. We believe that the original problem cannot be simply described as five separate tasks, like independent score inference using five different models for each element category. So we propose an approach based on the Insightface algorithm and Multi-Task Gaussian Process Regression (MTGPR) model to classify faces. MTGPR is a model that attempts to learn inter-task dependencies based solely on the task identities and the observed data for each task. It uses a parameterized covariance function over the input features x to develop a “free-form” task-similarity matrix. In MTGPR model, this is achieved by having a common covariance function over the features $x$ of the input observations. The experimental results show that our proposed method has improved results compared to the traditional Resnet-based classification method.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"41 1","pages":"385-389"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79276414","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}

引用次数: 0

Research on Mixed Teaching Mode under the Background of the reform of teachers, teaching materials and teaching methods 教师改革、教材改革、教学方法改革背景下的混合教学模式研究

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00118

Minna Xia, Xinxin Peng, Yang Liu, Sihuang Liu

{"title":"Research on Mixed Teaching Mode under the Background of the reform of teachers, teaching materials and teaching methods","authors":"Minna Xia, Xinxin Peng, Yang Liu, Sihuang Liu","doi":"10.1109/ITME53901.2021.00118","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00118","url":null,"abstract":"During the epidemic period, in response to the national education policy of “continuous suspension of classes”, the teaching work of universities was carried out online with the help of various online teaching platforms such as Superplatform, rain classroom, smart tree, university MODC, school-based platform smart classroom, as well as well as software with the function of teaching live broadcast. In order to improve the teaching effect, build students ‘cognitive system, cultivate students’ ability of independent learning and collaborative learning, and help students to achieve the knowledge objectives, skills objectives and quality objectives required by the curriculum. The author from the current situation of the post-epidemic era, combined with hunan automobile engineering vocational college online mixed teaching reality, with research results at home and abroad as the theoretical support, develop granular micro class video, system design orderly teaching link, in the actual practice of offline teaching mode, and reversed transmission teachers, teaching materials, teaching method reform.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"4 1","pages":"526-531"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79202878","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}

引用次数: 0

Fall Detection Based on Person Detection and Multi-target Tracking 基于人检测和多目标跟踪的跌倒检测

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00023

Teng Xu, Jian Chen, Zuoyong Li, Yuanzheng Cai

引用次数: 1

Feature Representation for Meditation State Classification in EEG Signal 脑电信号冥想状态分类的特征表示

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00062

Min Huang, Lizhen Ye, Junze Chen, Rurui Fu, Changle Zhou

引用次数: 1

An Improved Faster R-CNN Algorithm for Pedestrian Detection 一种改进的更快R-CNN行人检测算法

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00026

Zhaoyang Zhao, Jianwei Ma, Chao Ma, Yuzhu Wang

{"title":"An Improved Faster R-CNN Algorithm for Pedestrian Detection","authors":"Zhaoyang Zhao, Jianwei Ma, Chao Ma, Yuzhu Wang","doi":"10.1109/ITME53901.2021.00026","DOIUrl":"https://doi.org/10.1109/ITME53901.2021.00026","url":null,"abstract":"Pedestrian detection is an important branch of computer vision and has been the focus of research due to its wide range of applications. Although commonly used object detection model Faster R-CNN has achieved good results. However, there are still some shortcomings in the specific task of detecting pedestrians. This paper made three improvements to the Faster R-CNN to better adapt it to the pedestrian detection task. First, we did a lot of experiments and finally chose MobileNetv2 as our backbone network. Second, we designed a multi-branch feature pyramid network (M-FPN), which is used to better integrate the model's shallow feature information with the deep feature information improved the model's ability to detect pedestrians. Finally, an attention region proposal network SE-RPN is used to improve the model's ability to focus on pedestrian features and suppress attention to background interference features. The experimental results show that the improvement strategy proposed in this paper has achieved better results. These strategies improve the average accuracy of Faster R-CNN on our self-built dataset by 6.14% and the detection speed by 27fps. The AP on Caltech dataset reaches 87.01%, and the detection speed can achieve 39.4fps.","PeriodicalId":6774,"journal":{"name":"2021 11th International Conference on Information Technology in Medicine and Education (ITME)","volume":"28 1","pages":"76-80"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87974102","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}

引用次数: 0

A Coarse Feature Reuse Deep Neural Network for CXR Lesion Detection 一种用于CXR病变检测的粗特征重用深度神经网络

2021 11th International Conference on Information Technology in Medicine and Education (ITME) Pub Date : 2021-11-01 DOI: 10.1109/ITME53901.2021.00070

Xinquan Yang, Xuechen Li, Linlin Shen, Min Cao, Changen Zhou

引用次数: 1