Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085546
Wenjuan Li, Zheda Ren, Chunfeng Yue, Yanbo Xu
In view of power electronic devices need to handle higher voltage grade and capacity grade, multilevel converter has become the key to solve the problem. Cascaded inverter type is widely used because of the low harmonic pollution, high input power factor, as well as good output waveform. This paper adopts the method of model design to study the five-level inverter PWM control method systematically, and better output waveforms are gotten. The results show that the method of model-based design has higher quality and efficiency, and it is suitable for the multilevel inverter.
{"title":"Cascaded five-level inverter system by model-based design","authors":"Wenjuan Li, Zheda Ren, Chunfeng Yue, Yanbo Xu","doi":"10.1109/ICCSE.2017.8085546","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085546","url":null,"abstract":"In view of power electronic devices need to handle higher voltage grade and capacity grade, multilevel converter has become the key to solve the problem. Cascaded inverter type is widely used because of the low harmonic pollution, high input power factor, as well as good output waveform. This paper adopts the method of model design to study the five-level inverter PWM control method systematically, and better output waveforms are gotten. The results show that the method of model-based design has higher quality and efficiency, and it is suitable for the multilevel inverter.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130994970","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085572
Yafei Shi, Yantao Wei, Ting Wu, Qingtang Liu
In recent years, intelligent mathematics problem solving has aroused the interest of researchers. In the intelligent mathematics problem solving system related to high school, the classification of statistical graph is a key step. Consequently, the classification of statistical graphs has become an urgent problem to be solved. In this paper, a new method is proposed for statistical graphs classification. Firstly, the image features of statistical graphs are obtained by spatial pyramid matching using sparse coding (ScSPM). The extracted features are then fed into classifier: support vector machine (SVM). In this paper, a new statistical graph dataset was established to evaluate the proposed method. It contains 400 statistical graphs including line graphs, histograms, scatter plots, and pie charts. Experimental results on the established dataset demonstrate that the proposed statistical graphs classification method achieves better performance.
{"title":"Statistical graph classification in intelligent mathematics problem solving system for high school student","authors":"Yafei Shi, Yantao Wei, Ting Wu, Qingtang Liu","doi":"10.1109/ICCSE.2017.8085572","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085572","url":null,"abstract":"In recent years, intelligent mathematics problem solving has aroused the interest of researchers. In the intelligent mathematics problem solving system related to high school, the classification of statistical graph is a key step. Consequently, the classification of statistical graphs has become an urgent problem to be solved. In this paper, a new method is proposed for statistical graphs classification. Firstly, the image features of statistical graphs are obtained by spatial pyramid matching using sparse coding (ScSPM). The extracted features are then fed into classifier: support vector machine (SVM). In this paper, a new statistical graph dataset was established to evaluate the proposed method. It contains 400 statistical graphs including line graphs, histograms, scatter plots, and pie charts. Experimental results on the established dataset demonstrate that the proposed statistical graphs classification method achieves better performance.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115619443","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085584
Xinlu Zong, Hui Xu
The development of MOOC brings opportunities and challenges to higher education. Based on the analysis of MOOC and traditional classroom teaching, a teaching mode based on MOOC for computer specialty is presented to improve the teacher-centered and rigid teaching mode in traditional education. The proposed teaching mode promotes the teaching reform in favor of the advantages of MOOC and classroom teaching and extend the teaching activities to the student-oriented process both online and offline, so that the situation lack of initiative can be improved. This MOOC-based teaching mode can cultivate the basic application ability, comprehensive design ability, engineering ability and innovation ability are cultivated gradually. The teaching mode and the hierarchical evaluation mechanism helpful to train engineering talents of computer major under new situation.
{"title":"Reform of teaching mode for computer specialty based on MOOCs","authors":"Xinlu Zong, Hui Xu","doi":"10.1109/ICCSE.2017.8085584","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085584","url":null,"abstract":"The development of MOOC brings opportunities and challenges to higher education. Based on the analysis of MOOC and traditional classroom teaching, a teaching mode based on MOOC for computer specialty is presented to improve the teacher-centered and rigid teaching mode in traditional education. The proposed teaching mode promotes the teaching reform in favor of the advantages of MOOC and classroom teaching and extend the teaching activities to the student-oriented process both online and offline, so that the situation lack of initiative can be improved. This MOOC-based teaching mode can cultivate the basic application ability, comprehensive design ability, engineering ability and innovation ability are cultivated gradually. The teaching mode and the hierarchical evaluation mechanism helpful to train engineering talents of computer major under new situation.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115638890","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085545
Zhou Shijie, L. Hongguang, Li Guanfa, Wen Weihong, Zhang Shijia, Cui Jian, Chen Li-an, Tian Hong, Chen Benbin
DC filtering is commonly used together with Fourier algorithm in the calculation of root-mean-square (RMS) values of fault current of power system, so as to eliminate the errors produced by the decaying DC component in the fault current. In this paper, theoretical derivation was conducted, showing that errors of sampling values could be amplified by the DC filtering itself, which could lower the accuracy. So the effect of DC filtering should be comprehensively considered when applied in such circumstance. Numerical simulations concerning different number of sampling points and different initial phase angle of the fault current were also conducted to verify the conclusion. Results indicated that within a certain range of the initial phase angle, the amplification of the sampling error is maximized by the DC filtering, weakening the improvement in accuracy brought by the elimination of DC component, or even worsen the accuracy with too few sampling points for DC filtering calculation.
{"title":"Research on the error of the fourier algorithm with DC filtering in fault current calculation of power system","authors":"Zhou Shijie, L. Hongguang, Li Guanfa, Wen Weihong, Zhang Shijia, Cui Jian, Chen Li-an, Tian Hong, Chen Benbin","doi":"10.1109/ICCSE.2017.8085545","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085545","url":null,"abstract":"DC filtering is commonly used together with Fourier algorithm in the calculation of root-mean-square (RMS) values of fault current of power system, so as to eliminate the errors produced by the decaying DC component in the fault current. In this paper, theoretical derivation was conducted, showing that errors of sampling values could be amplified by the DC filtering itself, which could lower the accuracy. So the effect of DC filtering should be comprehensively considered when applied in such circumstance. Numerical simulations concerning different number of sampling points and different initial phase angle of the fault current were also conducted to verify the conclusion. Results indicated that within a certain range of the initial phase angle, the amplification of the sampling error is maximized by the DC filtering, weakening the improvement in accuracy brought by the elimination of DC component, or even worsen the accuracy with too few sampling points for DC filtering calculation.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124129484","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085527
Shaohui Li, Linkai Luo, Hong Peng
Neighbors embedding is a promising method for single image super-resolution (SR). However, the fixed number of neighbors for different kind of input low resolution (LR) patches may be improper. In addition, the assumption that low resolution space and high resolution (HR) space has similar local geometry leads to improper HR patches are used for reconstruction. In this paper, we propose a novel single image super-resolution method based on low-rank representation and metric learning. Low-rank representation aims to exclude outliers in neighbors, and metric learning aims to learn a linear projection matrix so that LR space with the transformed metric and HR space have similar local structure. Experiments on fourteen images show that our method obtains the best results on most images compared with traditional methods, which illustrates the effectiveness and superiority of the proposed methods.
{"title":"Low-rank representation for single image superresolution using metric learning","authors":"Shaohui Li, Linkai Luo, Hong Peng","doi":"10.1109/ICCSE.2017.8085527","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085527","url":null,"abstract":"Neighbors embedding is a promising method for single image super-resolution (SR). However, the fixed number of neighbors for different kind of input low resolution (LR) patches may be improper. In addition, the assumption that low resolution space and high resolution (HR) space has similar local geometry leads to improper HR patches are used for reconstruction. In this paper, we propose a novel single image super-resolution method based on low-rank representation and metric learning. Low-rank representation aims to exclude outliers in neighbors, and metric learning aims to learn a linear projection matrix so that LR space with the transformed metric and HR space have similar local structure. Experiments on fourteen images show that our method obtains the best results on most images compared with traditional methods, which illustrates the effectiveness and superiority of the proposed methods.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"19 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120902241","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085565
Wei Yungang, Shi Lina, Sun Bo, Zhu Xiaoming
This paper proposes (the number of course selecting/the number of course browsing) to be a new indicator to evaluate the popularity of the course through analyzing the course selection results of Beijing Extracurricular Scientific Practical Activity. The main conclusions of analyzing relevant factors are as follows: 1. The higher star one course gets, the more popular the course is. And word of mouth and teaching experience play important part in course selecting. 2. Some districts like Mentougou and Tongzhou are lack of course resources, resulting in the popularity of these courses are higher than other areas with rich curriculum resources. 3. The courses offered by museums are more popular than those offered by scientific research institutions, which may have something to do with the packaging of the course. 4. The most popular course is about Astronomy, closely followed by Electronics, Information Technology and Physics. And students have less interest in courses related to Geography and Data and Information. 5. The curriculum of Information Technology is a kind of new course comparing to other curricula, which is regarded as STEAM course in a narrow sense. This kind of course is popular which indicates that students accept new type of curriculum well.
{"title":"The course interest analysis of extracurricular scientific practical activity of students in grade seven","authors":"Wei Yungang, Shi Lina, Sun Bo, Zhu Xiaoming","doi":"10.1109/ICCSE.2017.8085565","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085565","url":null,"abstract":"This paper proposes (the number of course selecting/the number of course browsing) to be a new indicator to evaluate the popularity of the course through analyzing the course selection results of Beijing Extracurricular Scientific Practical Activity. The main conclusions of analyzing relevant factors are as follows: 1. The higher star one course gets, the more popular the course is. And word of mouth and teaching experience play important part in course selecting. 2. Some districts like Mentougou and Tongzhou are lack of course resources, resulting in the popularity of these courses are higher than other areas with rich curriculum resources. 3. The courses offered by museums are more popular than those offered by scientific research institutions, which may have something to do with the packaging of the course. 4. The most popular course is about Astronomy, closely followed by Electronics, Information Technology and Physics. And students have less interest in courses related to Geography and Data and Information. 5. The curriculum of Information Technology is a kind of new course comparing to other curricula, which is regarded as STEAM course in a narrow sense. This kind of course is popular which indicates that students accept new type of curriculum well.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128814766","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085533
Rui Liu, Yongqi Ge
With the development of Internet of Things and embedded computing technology, the smart home system has become a hot research spot of embedded systems. In this paper, through combining the Internet of Things, a smart home system based on zigbee and power line carrier communication technology is designed. In addition, the gateway is an important part of the smart home system, and its communication gateway is also mainly designed. The design method in this paper contributes to reduce the complexity of system management and improving the utilization of system.
{"title":"Smart home system design based on Internet of Things","authors":"Rui Liu, Yongqi Ge","doi":"10.1109/ICCSE.2017.8085533","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085533","url":null,"abstract":"With the development of Internet of Things and embedded computing technology, the smart home system has become a hot research spot of embedded systems. In this paper, through combining the Internet of Things, a smart home system based on zigbee and power line carrier communication technology is designed. In addition, the gateway is an important part of the smart home system, and its communication gateway is also mainly designed. The design method in this paper contributes to reduce the complexity of system management and improving the utilization of system.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127355884","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085535
Qiusheng Zhang, M. Lin, J. Jun, Xingyun Zhang
Internet has become the world's largest information repository, especially the explosive growth of the text data on the web, the disadvantages that it need much more time to acquire and update web pages, and is not high precision have become more obvious. The text mining algorithm based on focused crawler is proposed in this paper, it classifies and integrates the whole web pages by topic using topic crawler algorithm as much as possible, which greatly improves the retrieval ability of the web pages, naive bayes algorithm is adopted on this basis, which realizes the text mining processing of the web data. The experimental results show that the algorithm has good feasibility and higher recall ratio and precision ratio of the web pages.
{"title":"Research on text mining algorithm based on focused crawler","authors":"Qiusheng Zhang, M. Lin, J. Jun, Xingyun Zhang","doi":"10.1109/ICCSE.2017.8085535","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085535","url":null,"abstract":"Internet has become the world's largest information repository, especially the explosive growth of the text data on the web, the disadvantages that it need much more time to acquire and update web pages, and is not high precision have become more obvious. The text mining algorithm based on focused crawler is proposed in this paper, it classifies and integrates the whole web pages by topic using topic crawler algorithm as much as possible, which greatly improves the retrieval ability of the web pages, naive bayes algorithm is adopted on this basis, which realizes the text mining processing of the web data. The experimental results show that the algorithm has good feasibility and higher recall ratio and precision ratio of the web pages.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133232347","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085493
Han Zhen-zhong, Li Pei-guo, Mao Jian
Some improvements in the classification of masses in the breast are proposed in this paper. First, for the purpose of enriching the information concerning the shape of the mass, a new morphological feature is extracted. Then, the textural features of the region of interest (ROI) are extracted by combining the undecimated wavelet transform (UWT) and the gray level co-occurrence matrix (GLCM). Finally, based on the geometrical and textural features, the feature-weighted support-vector machine (FWSVM) is used to distinguish between malignant and benign masses. The experiments implemented on the public digital database for screening mammography (DDSM) indicated that the proposed improvements can achieve better results than the existing methods.
{"title":"A novel method of extracting and classifying the features of masses in mammograms","authors":"Han Zhen-zhong, Li Pei-guo, Mao Jian","doi":"10.1109/ICCSE.2017.8085493","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085493","url":null,"abstract":"Some improvements in the classification of masses in the breast are proposed in this paper. First, for the purpose of enriching the information concerning the shape of the mass, a new morphological feature is extracted. Then, the textural features of the region of interest (ROI) are extracted by combining the undecimated wavelet transform (UWT) and the gray level co-occurrence matrix (GLCM). Finally, based on the geometrical and textural features, the feature-weighted support-vector machine (FWSVM) is used to distinguish between malignant and benign masses. The experiments implemented on the public digital database for screening mammography (DDSM) indicated that the proposed improvements can achieve better results than the existing methods.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130401490","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}
Pub Date : 2017-08-01DOI: 10.1109/ICCSE.2017.8085499
Nikilesh Urella, Jennifer Hughes, Erich Conrad, Junsong Zhang, Xin Li
We develop a 3D modeling platform for VR scene construction for Posttraumatic Stress Disorder (PTSD) treatment. Our current system takes photos of humans and houses, and available 3D model templates as the inputs to construct the street scene with human characters and vehicles. For street modeling, the geometry is constructed either manually or using available template models, then mapped to photos taken from the street to produce texture maps. For human modeling, the body geometry and base skin texture are constructed using templates. Then, by transferring from a portrait, we generate a blended skin texture and produce a complete textured human 3D model.
{"title":"A VR scene modelling platform for PTSD treatment","authors":"Nikilesh Urella, Jennifer Hughes, Erich Conrad, Junsong Zhang, Xin Li","doi":"10.1109/ICCSE.2017.8085499","DOIUrl":"https://doi.org/10.1109/ICCSE.2017.8085499","url":null,"abstract":"We develop a 3D modeling platform for VR scene construction for Posttraumatic Stress Disorder (PTSD) treatment. Our current system takes photos of humans and houses, and available 3D model templates as the inputs to construct the street scene with human characters and vehicles. For street modeling, the geometry is constructed either manually or using available template models, then mapped to photos taken from the street to produce texture maps. For human modeling, the body geometry and base skin texture are constructed using templates. Then, by transferring from a portrait, we generate a blended skin texture and produce a complete textured human 3D model.","PeriodicalId":256055,"journal":{"name":"2017 12th International Conference on Computer Science and Education (ICCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129999927","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}
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