摘要：
In this paper, we proposed a generative model for feature selection under the unsupervised learning context. The model assumes that data are independently and identically sampled from a finite mixture of Student's t distributions, which can reduce the sensitiveness to outliers. Latent random variables that represent the features' salience are included in the model for the indication of the relevance of features. As a result, the model is expected to simultaneously realize clustering, feature selection, and outlier detection. Inference is carried out by a tree-structured variational Bayes algorithm. Full Bayesian treatment is adopted in the model to realize automatic model selection. Controlled experimental studies showed that the developed model is capable of modeling the data set with outliers accurately. Furthermore, experiment results showed that the developed algorithm compares favorably against existing unsupervised probability model-based Bayesian feature selection algorithms on artificial and real data sets. Moreover, the application of the developed algorithm on real leukemia gene expression data indicated that it is able to identify the discriminating genes successfully.
期刊：
International Journal of Innovative Computing, Information and Control,2018年14(1):83-98 ISSN：1349-4198
作者机构：
[Yu, Xinguo; Gan, Wenbin] National Engineering Research Center for E-Learning, Central China Normal University, No. 152, Luoyu Road, Wuhan, 430079, China
期刊：
Lecture Notes in Computer Science,2018年10749:366-381 ISSN：0302-9743
通讯作者：
Gan, Wenbin
作者机构：
[Yu, Xinguo; Gan, Wenbin; He, Bin; Wang, Mingshu; Sun, Chao] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构：
[Gan, Wenbin] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
会议名称：
8th Pacific-Rim Symposium on Image and Video Technology (PSIVT)
会议时间：
NOV 20-24, 2017
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Gan, Wenbin;Yu, Xinguo;Sun, Chao;He, Bin;Wang, Mingshu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
会议论文集名称：
Lecture Notes in Computer Science
关键词：
Plane geometry problem understanding;Geometric relation extraction;S-2 model;Visually presentation;Textual information extraction;Visual information extraction
作者机构：
[Shen, Xiaoqin; Zhang, Huiyun; Deng, Yan] Hankou Univ, Wuhan 430212, Hubei, Peoples R China.;[Zhang, Kun] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
会议名称：
10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) - Automatic Target Recognition and Navigation
会议时间：
OCT 28-29, 2017
会议地点：
Xiangyang, PEOPLES R CHINA
会议主办单位：
[Deng, Yan;Shen, Xiaoqin;Zhang, Huiyun] Hankou Univ, Wuhan 430212, Hubei, Peoples R China.^[Zhang, Kun] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Hubei, Peoples R China.
摘要：
Precise parallax detection through definition evaluation and the adjustment of the assembly position of the objective lens or the reticle are important means of eliminating the parallax of the telescope system, so that the imaging screen and the reticle are clearly focused at the same time. An adaptive definition evaluation function based on Susan-Zernike moments is proposed. First, the image is preprocessed by the Susan operator to find the potential boundary edge. Then, the Zernike moments operator is used to determine the exact region of the reticle line with sub-pixel accuracy. The image definition is evaluated only in this related area. The evaluation function consists of the gradient difference calculated by the Zernike moments operator. By adjusting the assembly position of the objective lens, the imaging screen and the reticle will be simultaneously in the state of maximum definition, so the parallax can be eliminated. The experimental results show that the definition evaluation function proposed in this paper has the advantages of good focusing performance, strong anti-interference ability compared with the other commonly used definition evaluation functions.
期刊：
2018 SEVENTH INTERNATIONAL CONFERENCE OF EDUCATIONAL INNOVATION THROUGH TECHNOLOGY (EITT 2018),2018年:210-213 ISSN：2168-944X
通讯作者：
Kang, Lingyun
作者机构：
[Liu, Sannyuya; Li, Qing; Liu, Zhi; Kang, Lingyun; Su, Zhu] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构：
[Kang, Lingyun] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
会议名称：
7th International Conference of Educational Innovation through Technology (EITT)
会议时间：
DEC 11-14, 2018
会议地点：
Massey Univ, Sch Humanities, Auckland, NEW ZEALAND
会议主办单位：
Massey Univ, Sch Humanities
会议论文集名称：
Proceedings of the International Conference of Educational Innovation through Technology
关键词：
social network analysis;sentiment density;learning outcomes
摘要：
With the explosion of learning data in online educational platforms, many educators and researchers have developed a keen interest in learning analytics, in which social network analysis (SNA) and sentiment analysis are the two critical methods for exploring collective learning processes. In this study, we extracted textual data from the discussion forum of a "contract law" course in a university learning platform. We examined the differences in distributions of males and females in the overall sociogram. As well, through calculating learners' social characteristics and sentiment densities across a semester, we explored the relationship among social characteristics, sentiments and learning outcomes. The experimental results showed that females tended to be more active than males in forum interactions, and high-performing learners participated more actively in interactions than did low-performing learners. Moreover, there was a strong positive correlation between confusion and learning outcomes. As well, the learners who were involved actively in discussions were more likely to express the confused sentiment.
期刊：
International Journal of Distance Education Technologies,2017年15(3):1-14 ISSN：1539-3100
通讯作者：
Liu, SY
作者机构：
[Liu, Sanya; Ni, Cheng; Liu, Zhi; Cheng, Hercy N.H.; Peng, Xian] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
通讯机构：
[Liu, SY ] ;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
关键词：
Sanya Liu;Cheng Ni;Zhi Liu;Xian Peng;Hercy N.H. Cheng;Mining Individual Learning Topics in Course Reviews Based on Author Topic Model: Education;IGI Global;Journal Article;Education;IGI Publishing
摘要：
Nowadays, Massive Open Online Courses (MOOC) has obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data in education. To mine useful information from these data, we need to use educational data mining and learning analysis technique to study the learning feelings and discussed topics among learners. This paper aims to mine and analyze topic information hidden in the unstructured reviews data in MOOC, a novel author topic model based on an unsupervised learning idea is proposed to extract learning topics for the each learner. According to the experimental results, we will analyze and focuses of interests of learners, which facilitates further personalized course recommendation and improve the quality of online courses.
摘要：
Low-cost tags are widely used, but have very limited storage space and computing power. In this paper, we propose an efficent lightweight radio-frequency identification (RFID) authentication protocol with strong trajectory privacy protection to balance the security and availability of RFID systems. In this protocol, tags only adopt pseudo-random number generator and XOR operation. In the authentication process, tags always use pseudonyms to prevent the exposure of sensitive messages, the pseudonyms and secret numbers of the tags are synchronized with the background server all the time. The analysis shows that the protocol can solve security issues such as desynchronization attack, man in the middle attack, forward security, replay attack, clone and so on effectively, and meet the requirements of low-cost tags. The trajectory privacy model of RFID systems is also used to prove the strong trajectory privacy and security of the protocol. This protocol has a better performance in terms of storage cost, computation cost and communication cost, and the search efficiency of the background server comparing to the existing relevant research results.
摘要：
Recently, blending learning has attracted more and more researchers attention in the field of teaching and learning. However, there are many troubles in making it clear as teaching model is suitable for specific knowledge points and there are no fixed implementing pattern. In this paper, we propose a new teaching strategy for blending learning, and divide all the knowledge into five categories, such as declarative knowledge, concept knowledge, rule knowledge, basic skill knowledge, and problem solving knowledge. Furthermore, we analyze the characteristics of each category and predict which teaching model is suitable for a specific category. Then we have carried out the proposed teaching strategy on the geography course in senior high school. Experimental results demonstrate that the proposed strategy has the great significance in educational theory and practical application.
摘要：
Speech interaction is a prominent interaction technology in educational robot, and educational robot with speech interaction can have a more harmonic and natural way of interaction. In some specific application scenarios such as education, the performance of speech recognition is not satisfactory due to the wide range of vocabularies and poor network. This paper trains the language model with professional vocabulary in the specific subject and establishes the corresponding phonetic dictionary in speech recognition based on Sphinx, and combines with speech synthesis based on Ekho to implement the speech interaction of educational robot in the offline state, and designs the relevant application of speech interaction about the teaching scenario of Chinese ancient poetry. The experiment demonstrates that the system designed and implemented can meet the demand of practical application of speech interaction in specific subject, and achieve the purpose of enhancing the student's learning experience and improving the learning effect.
作者：
Liao, Calvin C. Y.*;Chang, Wan-Chen;Chan, Tak-Wai
作者机构：
[Liao, Calvin C. Y.] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.;[Chang, Wan-Chen] Natl Cent Univ, Grad Inst Learning & Instruct, Taoyuan, Taiwan.;[Chan, Tak-Wai] Natl Cent Univ, Grad Inst Network Learning Technol, Taoyuan, Taiwan.
会议名称：
6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)
会议时间：
JUL 09-13, 2017
会议地点：
Hamamatsu, JAPAN
会议主办单位：
[Liao, Calvin C. Y.] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.^[Chang, Wan-Chen] Natl Cent Univ, Grad Inst Learning & Instruct, Taoyuan, Taiwan.^[Chan, Tak-Wai] Natl Cent Univ, Grad Inst Network Learning Technol, Taoyuan, Taiwan.
关键词：
portfolio management game;writing habit
摘要：
This study focused on delineating and utilizing "habit loop" framework: cueing environment, routine, and satisfaction. This study further integrated the habit loop framework into portfolio management game for helping elementary school students to writing and rewriting in order to cultivate good writing habit. We also proposed two design principles: portfolio visualization and management: portfolio visualization and management. The former supported cueing environment; the latter increased satisfaction; students perform their routines (e.g. writing and rewriting) in a portfolio management game.
