发布求助
文献互助 智能选刊 最新文献

2019 14th International Conference on Computer Science & Education (ICCSE)最新文献

筛选
英文 中文
A Students’ Action Recognition Database In Smart Classroom 智能课堂中的学生行为识别数据库
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845330
Xiaomeng Li, Min Wang, Weizhen Zeng, Weigang Lu
{"title":"A Students’ Action Recognition Database In Smart Classroom","authors":"Xiaomeng Li, Min Wang, Weizhen Zeng, Weigang Lu","doi":"10.1109/ICCSE.2019.8845330","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845330","url":null,"abstract":"With the development of human action recognition, it is possible to automatically recognize students’ actions in classroom, providing a new direction for classroom observation in teaching research. Training effective students’ action recognition algorithms depends significantly on the quality of the action database. However, only a few existing action databases focus on learning environment. In this paper, we contribute to this topic from two aspects. First, a novel students’ action recognition database is introduced. The spontaneous action database consists 15 action categories, 817 video clips of 73 students, which are collected in real smart classroom environment. Second, a benchmark experiment was conducted on the database using two kinds of recognition algorithms. The best result is achieved by Inception V3 with 0.9310 accuracy. Such a spontaneous database will help in the development and validation of algorithms for action recognition in learning environment.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131166948","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: 8
Research on Transmission Schemes of Massive MIMO Enabled SWIPT Systems 支持大规模MIMO的SWIPT系统传输方案研究
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845481
Yifeng Zhao, Xueting Xu, Siying Wu, Lianfeng Huang
{"title":"Research on Transmission Schemes of Massive MIMO Enabled SWIPT Systems","authors":"Yifeng Zhao, Xueting Xu, Siying Wu, Lianfeng Huang","doi":"10.1109/ICCSE.2019.8845481","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845481","url":null,"abstract":"Due to the development of the 5th generation network, the high power wireless devices, such as Internet of things network devices, have become part and parcel of some new domain. The simultaneous wireless information and power transfer (SWIPT) system can transmit information while harvesting energy. Although introducing massive multiple-input multiple-output (MIMO) technologies into SWIPT systems can reduce propagation loss, there still exists the bottleneck about a trade-off between energy and information, that is, the information decoding users suppress interference while the energy harvesting users take advantage of it. In this paper, we propose a time-division (TD) transmission scheme and a power-splitting (PS) one, which all can increase Rate-Energy (R-E) region, a novel method to evaluate the system performance. We find the optimal allocation factors for schemes, which are crucial in balancing data rate and harvest power. Simulation results demonstrate that the PS scheme has larger R-E region for massive MIMO enabled SWIPT system, which represents a better energy efficiency.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131197780","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: 2
The Techniques and Evaluation Method for Beautification of Handwriting Chinese Characters Based on Cubic Bézier Curve and Convolutional Neural Network 基于三次bsamizier曲线和卷积神经网络的手写汉字美化技术及评价方法
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845418
Pengli Du, Yingbin Liu, Endong Xun
{"title":"The Techniques and Evaluation Method for Beautification of Handwriting Chinese Characters Based on Cubic Bézier Curve and Convolutional Neural Network","authors":"Pengli Du, Yingbin Liu, Endong Xun","doi":"10.1109/ICCSE.2019.8845418","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845418","url":null,"abstract":"This paper presents a method to beautify Chinese characters and a way to evaluate the beautification result. In order to make handwritten Chinese characters more in line with the aesthetic standards of Chinese characters, 52 Chinese characters were selected as experimental data. These data covered 33 standard strokes and 19 typical structures of Chinese characters. The handwritten Chinese characters were beautified mainly from two aspects-the global adjustment and the elimination of jitter. Firstly, the two-dimensional (2D) data points set is extended into three-dimensional (3D) space. Then the Gaussian Mixture Model (GMM) is established for the data set, and the layout of handwritten Chinese characters is adjusted by point set registration algorithm. Secondly, according to the properties of the cubic Bézier curve function, detect the jitter of each strokes, and eliminate the jitter by interpolation algorithm. The evaluation of the results after beautification has always been limited to subjective evaluation. This paper attempts to combine the evaluation of beautification result with machine learning methods. Handwritten Chinese character recognition (HCCR) is used as the tool. Experiments show that the overall layout and jitter of handwritten Chinese characters have been adjusted and deleted, and the evaluation of handwritten Chinese characters beautification results has its research significance.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"313 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134463332","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: 1
ICCSE 2019 Session Chairs Index ICCSE 2019会议主席索引
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/iccse.2019.8845514
{"title":"ICCSE 2019 Session Chairs Index","authors":"","doi":"10.1109/iccse.2019.8845514","DOIUrl":"https://doi.org/10.1109/iccse.2019.8845514","url":null,"abstract":"","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127426103","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
Autoencoder based API Recommendation System for Android Programming 基于自编码器的Android编程API推荐系统
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845349
Jinyang Liu, Ye Qiu, Zhiyi Ma, Zhonghai Wu
{"title":"Autoencoder based API Recommendation System for Android Programming","authors":"Jinyang Liu, Ye Qiu, Zhiyi Ma, Zhonghai Wu","doi":"10.1109/ICCSE.2019.8845349","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845349","url":null,"abstract":"As a typical example of modern Information Technologies, Android platform and Apps are widely used by smartphone users all over the world. Thus, the research of designing models for assisting programmers in writing Android codes is of great importance and value, and recommending API usages is a stereotype task in this aspect. This paper applies Autoencoder neural networks into the model of API recommendation system for Android programming, and designs new Autoencoder based Android API recommendation system. This paper carries out experiments on the collected Android code dataset and verifies the effectiveness of the newly designed models compared with classical recommendation models.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115911668","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: 5
The application of mixed teaching mode in programming courses 混合教学模式在程序设计课程中的应用
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845504
Na Lv, Xiuyang Zhao, Jinglan Tian, Qianqian Zhang, Meihui Xu, Xue Fan
{"title":"The application of mixed teaching mode in programming courses","authors":"Na Lv, Xiuyang Zhao, Jinglan Tian, Qianqian Zhang, Meihui Xu, Xue Fan","doi":"10.1109/ICCSE.2019.8845504","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845504","url":null,"abstract":"In the traditional teaching mode, the beginners generally feel that the concepts in the programming courses are abstract and the programming ability is difficult to improve. Analyzing the teaching contents and the key difficulties in the teaching activities, we put forward the mixed teaching mode which combines the MOOC teaching mode and the traditional classroom teaching mode. This teaching mode can make full use of the existing online resources to build courses, and focus on arousing the learners’ autonomous learning motivation and the mutual cooperation ability within study groups. The teaching practice shows that this mixed teaching mode can better improve the learning interest and practical programming ability of the students compared with the traditional teaching mode.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114890064","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: 1
Vibration Fault Diagnosis Method for Planetary Gearbox of Wind Generating Set Based on EEMD 基于EEMD的风力发电机组行星齿轮箱振动故障诊断方法
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845463
Xianjiang Shi, Hongjian Li, Xiangdong Zhu, Yi Cao
{"title":"Vibration Fault Diagnosis Method for Planetary Gearbox of Wind Generating Set Based on EEMD","authors":"Xianjiang Shi, Hongjian Li, Xiangdong Zhu, Yi Cao","doi":"10.1109/ICCSE.2019.8845463","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845463","url":null,"abstract":"Detailed instructions can be found at In order to deal with the pre-processing analysis of non-stationary vibration signals of wind turbine gearbox under complex conditions, this paper takes the first-order planetary gearbox as the research object and uses the Ensemble Empirical Mode Decomposition (EEMD) to extract the feature of the faults in the gearbox, then build a wind generating set simulation test bench to collect the vibration information of the gearbox under the normal and fault conditions of the planetary gearbox and decompose the vibration signal by EEMD, Envelope spectrum analysis is performed on the effective IMF component, and the characteristic frequency in the signal is extracted by envelope analysis and the planetary gear box working state is diagnosed. Comparative analysis of vibration data in normal and faulty state of planetary gearboxes. It shows that EEMD decomposition has a very obvious effect on the diagnosing of vibration signals and the suppression of modal aliasing. It can accurately reflect the fault characteristic frequency and verify the feasibility of the EEMD algorithm for planetary gearbox fault diagnosis.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114729563","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: 1
Problems and solutions of MOOC application in provincial colleges and universities 省级高校MOOC应用存在的问题及对策
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845338
Jingyang Wang, Peiguang Lin, Yu Li, Ruixia Xu, P. Nie, Yuyan Xu
{"title":"Problems and solutions of MOOC application in provincial colleges and universities","authors":"Jingyang Wang, Peiguang Lin, Yu Li, Ruixia Xu, P. Nie, Yuyan Xu","doi":"10.1109/ICCSE.2019.8845338","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845338","url":null,"abstract":"Since 2012, the emergence of MOOC has swept the world like a tsunami in recent years. Our country has explored online education and MOOC and pays more and more attention to the modernization and information construction of higher education for about ten years. We found that promoting the implementation of MOOC in schools has become an important concern of colleges and universities. By investigating the actual situation of MOOC teaching in Universities in Shandong Province, we find that there are still many places worthy of further study on the implementation strategies of MOOC in universities. Based on the above facts, we first put forward the problems existing in the application of MOOC in Colleges and universities from the aspects of MOOC platform, universities and teachers. Then, we put forward the corresponding solutions to the problems. Finally, we provide relevant suggestions for the promotion of MOOC teaching in higher education.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121911954","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
U-GAN: Generative Adversarial Networks with U-Net for Retinal Vessel Segmentation 基于U-Net的生成对抗网络在视网膜血管分割中的应用
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845397
Cong Wu, Yixuan Zou, Zhi Yang
{"title":"U-GAN: Generative Adversarial Networks with U-Net for Retinal Vessel Segmentation","authors":"Cong Wu, Yixuan Zou, Zhi Yang","doi":"10.1109/ICCSE.2019.8845397","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845397","url":null,"abstract":"The retinal vascular condition is a reliable biomarker of several ophthalmologic and cardiovascular diseases, so automatic vessel segmentation may be crucial to diagnose and monitor them. However, existing methods have various problems in the segmentation of the retinal vessels, such as insufficient segmentation of retinal vessels, weak anti-noise interference ability. Aiming to the shortcomings of existed methods, this paper proposes an improved model based on the Generative Adversarial Networks with U-Net, which contains densely-connected convolutional network and a novel attention gate (AG) model in the generator, referred as U-GAN, to automatically segment the retinal blood vessels. The method can strengthen feature propagation, substantially reduce the number of parameters, and automatically learn to focus on target structures without additional supervision. By verifying the method on the DRIVE datasets, the segmentation accuracy rate is 96.15%, higher than that of U-Net and R2U-Net.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122002825","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: 20
Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models 遗传规划与其他数据挖掘技术在预测模型上的比较
2019 14th International Conference on Computer Science & Education (ICCSE) Pub Date : 2019-08-01 DOI: 10.1109/ICCSE.2019.8845381
Fateme Azimlu, S. Rahnamayan, M. Makrehchi, N. Kalra
{"title":"Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models","authors":"Fateme Azimlu, S. Rahnamayan, M. Makrehchi, N. Kalra","doi":"10.1109/ICCSE.2019.8845381","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845381","url":null,"abstract":"Prediction is one of the most important tasks in the machine learning field. Data scientists employ various learning methods to find the most appropriate and accurate model for each family of applications or dataset. This study compares the symbolic regression utilizing genetic programming (GP), with conventional machine learning techniques. In cases it is required to model an unknown, poorly understood, and/or complicated system. In these cases, we utilize genetic programming to generate a symbolic model without using any pre-known model. In this paper, the GP is studied as a tool for prediction in different types of datasets and conducted experiments to verify the superiority of GP over conventional models in certain conditions and datasets. The accuracy of GP-based regression results are compared with other machine learning techniques, and are found to be more accurate in certain conditions.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129901806","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: 3
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信