{"title":"Research on Optimizing Online Course Construction Mode","authors":"Zhen Xiong, Lin Zhi","doi":"10.1109/ICCSE.2019.8845379","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845379","url":null,"abstract":"With the rapid development of online education, its core resource is online courses. Online courses not only have achieved considerable growth in the number of users, but also have the advantages that traditional courses cannot match. This paper introduces the existing online course construction mode, and analyzes the advantages and disadvantages of the existing online course mode. This paper puts forward the mode optimization construction of online course from three aspects of course design elements analysis, course design principles and course optimization methods.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"16 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":"126401749","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":"Artificial Intelligence to Assist E-Learning","authors":"Hsiao-Hui Li, Yuan-Hsun Liao, Yuehua Wu","doi":"10.1109/ICCSE.2019.8845449","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845449","url":null,"abstract":"Teaching norms are taught through the way of large class teaching. Nowadays, most of the teaching method is still dependent on physical classes. Therefore, it’s hard to design individual lesson based on different students’ ability to achieve fundamental education. Good teaching is” According to the ability, ambition and interest of different learners, give appropriate teaching methods”. Therefore, this paper is analysis students learning effectiveness through artificial intelligence adjusting the learning content and curriculum according to different learners to give learners the most appropriate learning style. The design can achieve personalized learning and auto-didacticism and instant feedback to meet the learners’ different learning styles and thus improve the overall learning benefits.","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":"120821421","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":"Exploration on Two-Way Interaction Students Management Mode of Vocational Colleges in Emerging Engineering Education","authors":"N. Luo, Chun Wang, Juan Luo","doi":"10.1109/ICCSE.2019.8845387","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845387","url":null,"abstract":"In recent years, study and practice on emerging engineering education is developing by leaps and bounds, vocational education has made considerable strides. It brings new challenges to student management in vocational colleges. Therefore, in emerging engineering education, more student management modes must be developed to meet personalized teaching requirements. This paper first investigates and discusses current situation of students’ behavior in vocational colleges. On this foundation, a “two-way interaction” student management mode of vocational colleges in emerging engineering education is proposed and explored. The “two-way interaction” management mode are equipped with some new concepts such as: “student-oriented”, “dual aspects in student managers”, “two sides of students and teachers”, and “the process of management is the process of improving students’ quality”, to replace the traditional management concept that emphasizing managing students with the new one that aims at cultivating students’ abilities of creative, cognitive, collaborative, and problem-solving. The theory and the practical results of this paper provide beneficial reference for effectively solving the current problems in vocational education management, and improving the qualities of students in vocational schools.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"51 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":"114894202","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}
Xuwei Fan, Hezhi Lin, Chaolin Ye, Yangyang Guo, Lianfeng Huang
{"title":"Smart Heating Clothes Based on Bluetooth","authors":"Xuwei Fan, Hezhi Lin, Chaolin Ye, Yangyang Guo, Lianfeng Huang","doi":"10.1109/ICCSE.2019.8845492","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845492","url":null,"abstract":"In this article, in order to solve the problem that everyone needs to wear a lot of clothes to keep warm when the weather is cold, we propose a smart heating clothes based on Bluetooth. The system is simple to operate and has good heating performance. It can be controlled by the mobile phone to heat the partial or full heating cloths in different needs. At the same time, it uses PID algorithm to control the temperature, which can make the temperature quickly controlled to a preset temperature. The system has good performance and can meet the needs of users well, which provides a new idea for smart heating clothes.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"106 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":"133762065","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":"ICCSE 2019 Program at a Glance","authors":"","doi":"10.1109/iccse.2019.8845393","DOIUrl":"https://doi.org/10.1109/iccse.2019.8845393","url":null,"abstract":"","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"27 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":"133525340","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":"Research on Key Attributes of Learning Behavior Based on Rough Set","authors":"Pengyu Liu, Guiyun Zhang","doi":"10.1109/ICCSE.2019.8845391","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845391","url":null,"abstract":"MOOC becomes a common learning method in colleges and universities. Data analysis through MOOC recorded data to find key attributes that affect learner performance, this is one of the current research directions of educational big data. In this paper, using the record data of 500 learners on the MOOC platform, the rough set attribute reduction algorithm is used to mine the key attributes affecting the learner’s performance, finally get six key attributes. Describes the links between the sixkey attributes and achievements. Through the analysis and research of learning behavior data, this paper puts forward suggestions for improving the quality of MOOC learning, and provides reference for the development of MOOC.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"1 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":"130366833","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}
Yanhua Li, Jianping Wang, Xiaomei Zhang, Yangjie Cao
{"title":"FittingGAN: Fitting image Generation Based on Conditional Generative Adversarial Networks","authors":"Yanhua Li, Jianping Wang, Xiaomei Zhang, Yangjie Cao","doi":"10.1109/ICCSE.2019.8845499","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845499","url":null,"abstract":"Recent studies have shown remarkable success in image generations using generative adversarial networks (GANs). However, how to deal with the fitting image generation, which is a task that generates a reasonable dressing image containing the input clothes is still an open problem. In this paper, we propose a condition generation model named FittingGAN which can achieve the generation of fitting scenes. The results show that It can generate fitting images with high resolution and realistic details, and FittingGAN have achieved good results in both qualitative and quantitative evaluations.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"123 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":"128493768","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 Match Method of Encircled Marker-Points on External Store Model","authors":"Danzhou, Xiucheng Dong, Fan Zhang, Wei Chen","doi":"10.1109/ICCSE.2019.8845460","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845460","url":null,"abstract":"In the high-speed and complex flow circumstance, the recognition, location and matching of the encircled markerpoints on the aircraft external store model are the important basic data for determining the separation characteristics of the model and the flight trajectory. In order to solve the matching problem of the marker-points on the small-sized external store, a algorithm of encoding and decoding with encircling markerpoints is proposed. The decoding algorithm calculates the distance of marker-points between head and tail and the direction vector to match the homonymous points. Such algorithm has the advantages of keeping the aerodynamic shape, easy to implement, and low cost. The experiments show that the decoding accuracy is higher than 94% in circumstance of long distance and large field of view, complex background and high ambiguity. In addition, the efficiency of decoding is also improved. By applying the decoding with encircling marker-points in the monocular vision measurement system, the experiments show that the proposed method can achieve fast recognition and high-precision matching. It has engineering practical value.","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":"131717114","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":"Segmentation of Punjabi Text into Prosodic Unit","authors":"Navdeep Kaur, Parminder Singh","doi":"10.1109/ICCSE.2019.8845439","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845439","url":null,"abstract":"Naturalness of synthesized speech is defined in terms of accurate pronunciation of words, whether the stress is given to the right word and are the nasal sound words are spoken properly. It is the task of text analysis phase of speech synthesizer to generate linguistic representations of written text by considering nasality, stress and pronunciation of words. As there is difference in written and verbalization form of text. So, text analyser performs text normalization i.e. some preprocessing on written text to transform text into its verbalization form. Some pre-processing tasks performed are date expansion, numeral expansion, alphanumeric expansion, abbreviation expansion, and phonological translation. The vowel-consonant sequence of normalized text is generated that is used to guide the process of segmenting the text into prosodic units (graphemes) and generation the linguistic representation of text.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"10 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":"132042845","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 Single-channel BSS Method Based on ICEEMDAN and FastICA and Its Application in EMI Analysis","authors":"Hongyi Li, Wei Lin, Di Zhao","doi":"10.1109/ICCSE.2019.8845382","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845382","url":null,"abstract":"In the field of electromagnetic compatibility, electromagnetic interference (EMI) has always been a difficult problem for researchers. In order to achieve accurate separation of single-channel EMI signal, this paper proposes a one-stop method based on ICEEMDAN and FastICA. Firstly, the ICEEMDAN algorithm is used to extract several intrinsic mode functions (IMFs) from a single-channel mixture. Secondly, the multi-dimensional signals are reconstructed according to the IMFs and the original aliasing signal and separated by the FastICA algorithm. Finally, the feasibility of the proposed method is proved by experiments. Compared with the existing methods, it has better separation effect, which provides a reference for solving EMI problems.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"24 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":"133954757","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}