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2018 13th International Conference on Computer Science & Education (ICCSE)最新文献

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Application of PBL Based Sandwich Teaching on C Programming 基于PBL的夹心教学在C程序设计中的应用
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468856
Huang Qingfeng, Huang Xiaotao, Fu Cai
{"title":"Application of PBL Based Sandwich Teaching on C Programming","authors":"Huang Qingfeng, Huang Xiaotao, Fu Cai","doi":"10.1109/ICCSE.2018.8468856","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468856","url":null,"abstract":"Computer thinking is the training target of computer basic courses. AS an important computer basic courses, C programming requires frequent practices. Traditional LBL-based teaching are very inefficient for such a highly practical course. This article analyzes the disadvantages of traditional LBL-based teaching at first, and then illustrates how PBL-based sandwich teaching is applied to the curriculum of c programming. By comparing PBL-based sandwich teaching with traditional LBL-based teaching, advantages of the latter are found by examination results and questionaire. At last, the paper summarizes the difficulty when teachers implement sandwich teaching at universities in China now and our future work.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121418623","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
Asynchronous Online Peer Support: Barriers to Participation for International Students 异步在线同伴支持:国际学生参与的障碍
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468786
Angelika Maag, Nittarin Tummapet, P. Prasad, A. Alsadoon, A. Elchouemi
{"title":"Asynchronous Online Peer Support: Barriers to Participation for International Students","authors":"Angelika Maag, Nittarin Tummapet, P. Prasad, A. Alsadoon, A. Elchouemi","doi":"10.1109/ICCSE.2018.8468786","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468786","url":null,"abstract":"Universities generally support students' learning with a significant range of facilities - on and off-line. These now also often include learning objects such as asynchronous peer support. Research has shown that such support can significantly contribute to student success, although there is as yet little research to prove that this is the case for international students - the focus of this research. This paper aims to illustrate the impact of asynchronous online peer support in general and identify reasons why international students might be reluctant to engage with this particular type of learning object. A review of literature reveals that learner acceptance depends on a significant range of variables, intrinsic and extrinsic, to which international students add new facets. To determine the impact of such variables, a survey was administered to test hypotheses using SPSS software analysis. It was found that commonly identified barriers to the use of asynchronous peer support are not valid in the case of international students. Based on these findings, an enhanced framework attempts to offer solutions. This work has implications for educational practice as it highlights emotional and knowledge based limitations of asynchronous learning which need to be mitigated if such learning objects are to be effective.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126890713","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
Genetic Properties of Integers and their Applications 整数的遗传性质及其应用
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468832
Xingbo Wang
{"title":"Genetic Properties of Integers and their Applications","authors":"Xingbo Wang","doi":"10.1109/ICCSE.2018.8468832","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468832","url":null,"abstract":"The paper first makes an overview on the genetic properties of the odd integers by summarizing tens of theorems that have been proved in literatures, and then presents several new theorems related with the genetic properties and with the divisor's distribution of a composite odd integer. Based on the theorems, the paper also proposes a guideline of designing parallel algorithm to factorize an odd integer. Numerical experiments show the genetic property is helpful for solving the hard problem of integer factorization.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125165717","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
Fuzzy Clustering Based on Water Wave Optimization 基于模糊聚类的水波优化
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468778
Z. Ren, Chunzhi Wang, Xinkai Fan, Z. Ye
{"title":"Fuzzy Clustering Based on Water Wave Optimization","authors":"Z. Ren, Chunzhi Wang, Xinkai Fan, Z. Ye","doi":"10.1109/ICCSE.2018.8468778","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468778","url":null,"abstract":"Fuzzy clustering is one of the most widely used and sensitive algorithms. However, one of its fatal weaknesses is that it is very sensitive to initialization and easy to get into local minima. WWO (The water wave optimization algorithm) is a widely used global optimization method. Its main advantage is simple, general and suitable for parallel processing. Thus combining optimization algorithm in waves and fuzzy clustering, can play a water wave algorithm for global optimization ability. It can give attention to both local optimization ability and improve the convergence speed at the same time, to better solve the problem of clustering. The algorithm using water wave optimization algorithm to find the optimal solution as the initial clustering center of fuzzy clustering. And then, using the fuzzy clustering to initialize clustering center. Finally obtain the global optimal solution, thus overcomes the shortcomings of fuzzy clustering.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130895727","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
A Deep Learning Approach for Online Learning Emotion Recognition 一种用于在线学习情绪识别的深度学习方法
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468741
Chao Ma, Chongliang Sun, Donglei Song, Xuan Li, Hao Xu
{"title":"A Deep Learning Approach for Online Learning Emotion Recognition","authors":"Chao Ma, Chongliang Sun, Donglei Song, Xuan Li, Hao Xu","doi":"10.1109/ICCSE.2018.8468741","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468741","url":null,"abstract":"In recent years, online teaching has developed rapidly with numerous online-education platforms and diversified online-education models. Compared with traditional classroom teaching, online teaching has advantages, such as not being constrained by place and offering a wide range of interactions. Simultaneously, online teaching lacks interaction between lecturers and learners, and the lecturers are unable to observe the learners face to face. This paper proposes and implements a real-time emotion-score recognition model based on the convolutional neural network. It captures the learners' learning picture through a webcam, judges the learners' learning emotions in real time, and provides feedback to the lecturer, achieving real-time feedback of emotion in distance education. The model helps to enhance the interaction between the lecturer and learner, and it helps personalize education.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130398160","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: 4
Breaking the Mirroring Development of the Digitization Industry of Nonphysical Cultural Heritage 打破非物质文化遗产数字化产业的镜像发展
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468706
C. Li, Wenfei Xiong
{"title":"Breaking the Mirroring Development of the Digitization Industry of Nonphysical Cultural Heritage","authors":"C. Li, Wenfei Xiong","doi":"10.1109/ICCSE.2018.8468706","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468706","url":null,"abstract":"since the 1990s, digitization technologies represented by information technology and network technology have made considerable progress. Digitization technologies have been widely used not only in the industrial field but also in the process of protecting Nonphysical Cultural Heritage which is the treasure of human civilization. In the past 10 years, China has promoted the digital practices of Nonphysical Cultural Heritage through a series of measures including legislation and policies, project implementation, and formulating specifications, which transform Nonphysical Cultural Heritage into digital resources that can be stored and regenerated. However, it is undeniable that the utility of these digital resources has not been fully exploited. The existing digitization of Nonphysical Cultural Heritage is simply a ‘mirroring’ of Nonphysical Cultural Heritage resources. This paper proceeds from discussing the current issues of the Nonphysical Cultural Heritage digitization industry and proposes some paths to break the dilemma of mirroring cultural resources. Then starting from the different participators within the digital industry (government, enterprises), it is proposed to create a public service platform of digital Nonphysical Cultural Heritage, integrate Nonphysical Cultural Heritage into digital publishing industry, digital film industry, and digital tourism industry. Moreover, the article seeks to the effective way of extending the digital industry chain of Nonphysical Cultural Heritage.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129301992","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
Research on UI Visual Design of Intangible Cultural Heritage Digital Museum Based on User Experience 基于用户体验的非物质文化遗产数字博物馆UI视觉设计研究
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468809
Yanting Tong, Binyue Cui, Yulin Chen
{"title":"Research on UI Visual Design of Intangible Cultural Heritage Digital Museum Based on User Experience","authors":"Yanting Tong, Binyue Cui, Yulin Chen","doi":"10.1109/ICCSE.2018.8468809","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468809","url":null,"abstract":"With the development of multi-sensory design and digital technology, intangible cultural heritage can be disseminating through the virtual exhibition of digital museum. The establishment of a digital museum system for intangible cultural heritage will help to realize the sharing of intangible cultural resources and promote the full spread of the functions of intangible cultural heritage. Starting with the user's psychological needs and users' characteristics of the non-legacy digital museum, the UI visual level design of the non-legacy digital museum based on user experience is to discuss the cultural psychology, visual perception, and comfort of the user in the process of using the non-legacy digital platform, and discuss the interface layer of the non-legacy digital museum. It mainly focuses on three aspects of visual hierarchy design: color, text, and layout. At the same time, we can use the grid system to create a good visual atmosphere, enabling users to experience better in the visual sense. It makes the design leads to a beautiful user experience through the cultural element display and aesthetic sense of the interface, and guides the user to complete the interaction process. By keeping the usability of the interface, effectively controlling the text, color and image of the interface to ensure it can be used easily. This study tries to create an immersive process for users to get an unforgettable experience.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121278318","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: 6
Network Intrusion Detection Based on Lightning Search Algorithm Optimized Extreme Learning Machine 基于闪电搜索算法优化极限学习机的网络入侵检测
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468727
Chunzhi Wang, Wencheng Cai, Z. Ye, Lingyu Yan, Pan Wu, Yichao Wang
{"title":"Network Intrusion Detection Based on Lightning Search Algorithm Optimized Extreme Learning Machine","authors":"Chunzhi Wang, Wencheng Cai, Z. Ye, Lingyu Yan, Pan Wu, Yichao Wang","doi":"10.1109/ICCSE.2018.8468727","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468727","url":null,"abstract":"In order to guarantee the security of the network, a lightning search algorithm optimized extreme learning machine(LSA-ELM) method is proposed in this paper, aiming at the problem of parameter optimization in the process of network intrusion detection by extreme learning machine. First, the parameters of extreme learning machine are coded as the discharge projectile position, and the total weighted error is taken as the fitness value. Then the optimal parameters of the extreme learning machine are found by simulating the lightning discharge behavior, and a network intrusion detection classifier is established. Finally, The KDD99 data set is used for simulation experiments on the MATLAB 2015a platform. The results show that LSA-ELM improves the accuracy of network intrusion detection and meets the requirements of online intrusion detection.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115868248","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
Simulation Model of Emergency Evacuation Based on Artificial Fish Swarm Algorithm 基于人工鱼群算法的紧急疏散仿真模型
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468782
Xinlu Zong, Xinkai Fan, Yingli Jiang, Jiayuan Du, Yichao Wang
{"title":"Simulation Model of Emergency Evacuation Based on Artificial Fish Swarm Algorithm","authors":"Xinlu Zong, Xinkai Fan, Yingli Jiang, Jiayuan Du, Yichao Wang","doi":"10.1109/ICCSE.2018.8468782","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468782","url":null,"abstract":"Emergent events and catastrophe accidents in large public places are increasing in recent years. In order to ensure successful escape from the accident places and provide a scientific and efficient plan for evacuees, an evacuation model based on artificial fish swarm algorithm(AFSA) for large public place is presented in this paper. In the model, each evacuee is considered as an intelligent artificial fish, and the foraging process of fish swarm is used to simulate evacuation behavior. Route choice strategy is proposed to simulate the psychological behaviors of evacuation individuals. Evacuation Simulation algorithm based on artificial fish swarm is proposed and applied to large stadium evacuation problem. The experimental and simulated results show that the presented model and algorithm can simulate the characteristics of the evacuation individuals, the evacuation rules and the uncertain factors in the evacuation process. The modelling approach has good effect in evacuation problem.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116001245","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
Level Set Image Segmentation of CV-GAC Model CV-GAC模型的水平集图像分割
2018 13th International Conference on Computer Science & Education (ICCSE) Pub Date : 2018-08-01 DOI: 10.1109/ICCSE.2018.8468713
Yang Lin, L. Tong
{"title":"Level Set Image Segmentation of CV-GAC Model","authors":"Yang Lin, L. Tong","doi":"10.1109/ICCSE.2018.8468713","DOIUrl":"https://doi.org/10.1109/ICCSE.2018.8468713","url":null,"abstract":"This paper introduces the current research status of the level set segmentation model based on edge, region and the combination of the two at home and abroad in detail, and describes the basic theory and level set theory of curve evolution. The basic principles of the GAC model and the CV model are described in detail. Simultaneously analyzes the advantages and disadvantages of the two models through multiple experiments. The advantages and disadvantages of the CV model and the GAC model are compared with the combined with the CV-GAC model.","PeriodicalId":228760,"journal":{"name":"2018 13th International Conference on Computer Science & Education (ICCSE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123630564","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
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