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":"Oil spills identification in SAR image based on Convolutional Neural Network","authors":"YaoHua Xiong, Hui Zhou","doi":"10.1109/ICCSE.2019.8845383","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845383","url":null,"abstract":"Synthetic Aperture Radar (SAR) satellites can be used to detect the oil film diffusion caused by marine oil spill accidents. The automatic identification of oil slicks and lookalikes oil slicks can provide an important basis for decision-making of oil spill accidents. An oil spill SAR image recognition method based on convolutional neural network is presented in this paper, which automatically extracts category features and avoids the non-standardity of manual extraction methods. The original oil spill SAR image is filtered and denoised, before it is input into the CNN network, and the feature extraction is performed on the SAR image using the CNN model. Finally, the features are classified by Soft-max. Experiments have been carried out using ERS-2 SAR image data, and the results of the identification demonstrate that the proposed method has high accuracy in identifying \"oil slicks\" and \"look-alikes oil slicks\" images.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"3 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":"115995682","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":"Empirical Study on Rain Classroom: A Tool for Blended Learning in Higher Education","authors":"Youjie Chen, Shuaiguo Wang, Xinjie Yu","doi":"10.1109/ICCSE.2019.8845461","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845461","url":null,"abstract":"An interactive learning tool named Rain Classroom was developed to facilitate teachers better implement blended learning and enhance communication between teachers and students. The paper presents its design principles, system architecture, and applications. An empirical study of 130 participants was conducted to evaluate the effectiveness of the tool. Positive results are shown both in students’ learning performances and attitudes toward Rain Classroom.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"12 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":"115121482","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 Heuristic Hybrid Recommended Order Modle","authors":"Yi Yang, Baolin Li, Jianqiao Hu","doi":"10.1109/ICCSE.2019.8845052","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845052","url":null,"abstract":"As the informationized trend is developing toward intelligentized one in catering industry, the targeted ordering recommendation provide for customer based on the technique of intelligent recommendation has turned into reality. Applying in the scenario of traditional Chinese food service, a heuristic and hybrid model in ordering recommendation is proposed. First, the association rules algorithm was adopted for obtaining the association rules of historically associated dishes combination and calculating their correlation degree. Second, applying the recommended algorithm based on dishes attributes to calculate the similarities of dishes in the database. Third, to calculate comprehensive scores of dishes and create the recommendation rules in accordance with their correlation degree and similarities. Finally, a recommended order list is shaped from both the dishes ordered and the recommendation rules concluded in the former step. The effectiveness and validation of the model and algorithm are being proved by real order data in Chinese restaurants. The data shows the model is better than traditional association rules in the aspects of recommendation precision and coverage when the dishes ordered reaching to certain amount.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"88 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":"116545097","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}
{"title":"Exploration of Software Development Training Program in Vocational Colleges Based on OBECDIO","authors":"Yandong Wen","doi":"10.1109/ICCSE.2019.8845371","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845371","url":null,"abstract":"Through introducing the situation of software industry and the demand of software engineer currently, we analyze some problems in college education. Based on OBECDIO education model, a talent training scheme for application-oriented software talents is given out to current software engineer training: the job requirements of software talent, professional requirements and competencies, setting the desired “learning output”. Following the principle of “Backtracking design”, we develop a curriculum system with student-centered by reverse order. Last, Software talent the reasonable position on training, the core curriculum development, the curriculum content updating, the education method and form innovation. Deepen the cooperation between schools and enterprises, improving teachers’ practical ability, constructing the Five - level Practice System at Different Levels, adopting the checkpoints flipped classroom model to improve the quality of graduates.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"37 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":"123919419","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}
{"title":"Mining New Scientific Research Ideas from Quantum Computers and Quantum Communications","authors":"Qiping Wei, Fengxiang Zhang","doi":"10.1109/ICCSE.2019.8845476","DOIUrl":"https://doi.org/10.1109/ICCSE.2019.8845476","url":null,"abstract":"This paper studies the significant scientific ideas presented in quantum computers and quantum communications. In quantum computers, a quantum has no precise position. It does not follow the causal law and does not hold repeatability. Quantum addition takes almost no time. A quantum (qubit) can present both “1” and “0” at the same time. In quantum communications, when two particles are entangled, one can transfer information to the other that can even across cosmic distance away without energy, time, and any ”field” as medium. All these ideas together form a set of completely new ideas of “rational science”, breaking through the concepts of classical science. However, the slow research progress of quantum computers and quantum communications reflects that people’s knowledge of scientific ideas is very limited. This paper is to discuss the evolution of scientific ideas inspired by quantum computers and quantum communications for further mining the scientific research ideas.","PeriodicalId":351346,"journal":{"name":"2019 14th International Conference on Computer Science & Education (ICCSE)","volume":"67 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":"124982290","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}