作者机构：
[Wu, Linjing; Huang, Huan; Liu, Qingtang] Department of Information Technology, Central China Normal University, No. 152, Luoyu Road, Wuhan 430079, China
期刊：
Proceedings of SPIE - The International Society for Optical Engineering,2013年8783 ISSN：0277-786X
通讯作者：
Deng, He
作者机构：
[Deng, He; Liu, Qingtang] Cent China Normal Univ, Dept Informat Technol, Wuhan 430079, Peoples R China.;[Cheng, Lifang] Air Force Radar Acad, Wuhan 430019, Peoples R China.
通讯机构：
[Deng, He] C;Cent China Normal Univ, Dept Informat Technol, Wuhan 430079, Peoples R China.
会议名称：
5th International Conference on Machine Vision (ICMV) - Computer Vision, Image Analysis and Processing
会议时间：
OCT 20-21, 2012
会议地点：
Wuhan, PEOPLES R CHINA
会议主办单位：
[Deng, He;Liu, Qingtang] Cent China Normal Univ, Dept Informat Technol, Wuhan 430079, Peoples R China.^[Cheng, Lifang] Air Force Radar Acad, Wuhan 430019, Peoples R China.
会议论文集名称：
Proceedings of SPIE
关键词：
Small target detection;local entropy;local reverse entropy
摘要：
The detection of small targets that submerges in the homogeneous image background is a difficult problem in the design of small targets detection algorithm. The concept of local reverse entropy combining the concepts of local entropy with reverse entropy is proposed in this paper, which is to solve that problem by enhancing small targets. The norms of local signal-to-background ratio and elapsed time are used to demonstrate the performance of local reverse entropy map. Both quantitative analysis and qualitative comparison confirm the validity and efficiency of the presented approach.
期刊：
2013 IEEE 13TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2013),2013年:112-114 ISSN：2161-3761
通讯作者：
Hu, Min
作者机构：
[Hu, Min; Li, Hao] Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.;[Liu, Qingtang] Cent China Normal Univ, Dept Informat Technol, Wuhan, Peoples R China.
通讯机构：
[Hu, Min] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, 152 Luoyu Rd, Wuhan, Hubei, Peoples R China.
会议名称：
13th IEEE Annual International Conference on Advanced Learning Technologies (ICALT)
会议时间：
JUL 15-18, 2013
会议地点：
Beijing Normal Univ, Beijing, PEOPLES R CHINA
会议主办单位：
Beijing Normal Univ
会议论文集名称：
IEEE International Conference on Advanced Learning Technologies
摘要：
On the basis of the statistics of keywords from 5750 papers published in professional journals from 2007 to 2011 in educational technology, this paper selected the top 46 high-frequency keywords, generated co-word matrix by using SATI tools, made use of statistical analysis software SPSS for co-word clustering analysis, deeply analyzed the relationships and rules among the selected high-frequency keywords, and then explored hot topics and developing trends in the field of educational technology. After summing up, nine hot topics were finally determined, including student-centered learning activities, network education, distance education, educational informationalization.
期刊：
The Journal of Information and Computational Science,2012年9(17):5225-5232 ISSN：1548-7741
通讯作者：
Wang, S.(shujuan841019@gmail.com)
作者机构：
[Wang, Shujuan; Yang, Zongkai] National Engineering Research Center for E-learning, Central China Normal University, Wuhan 430079, China;[Liu, Qingtang] Department of Information Technology, Central China Normal University, Wuhan 430079, China
通讯机构：
National Engineering Research Center for E-learning, Central China Normal University, China
关键词：
Buyer-seller protocol;Copyright violation arbitration;Digital rights management;Digital watermarking
期刊：
International Journal of Advancements in Computing Technology,2012年4(13):62-70 ISSN：2005-8039
通讯作者：
Liu, Q.(liuqtang@mail.ccnu.edu.cn)
作者机构：
[Liu, Qingtang] Department of Information Technology, Central China Normal University, WuHan, Hubei 430079, China;[Wang, Yanli] Department of Educational Science and Technology, Huang Gang Normal University, Huang Gang, Hubei 438000, China;[Cheng, Yun] Department of Information Technology, Central China Normal University, WuHan, Hubei 430079, China, Department of Educational Science and Technology, Huang Gang Normal University, Huang Gang, Hubei 438000, China
通讯机构：
[Liu, Q.] D;Department of Information Technology, , WuHan, Hubei 430079, China
关键词：
FFmpeg;Format conversion;GUI;Open source;OSS
摘要：
Open Source Software (OSS) now is being developed rapidly and increasingly widely used, and has a huge advantage in software development. Unfortunately, a lot of open source software can not be used under Windows directly, which will limit their development and access to a wider range of application. This essay has constructed a porting model for open source software through the analysis of the characteristics of open source software and the actual application requirements, and took FFmpeg for example, a open source software for video and audio processing, to discuss how to apply the porting model and meanwhile developed a multimedia format converter with GUI based on FFmpeg. Then we tested the software and analyzed and compared the porting result. The testing has proved that the porting model for open source software is feasible and usable, with good application effect and has realized the desired objectives. This practice will be great valuable reference for porting and application of open source software.
期刊：
Advances in Information Sciences and Services,2012年4(17):435-441 ISSN：1976-3700
通讯作者：
Liu, Q.(lqt@mail.ccnu.edu.cn)
作者机构：
[Liu, Qingtang; Zhu, Ke] Department of Information Technology, Central China Normal University, China
通讯机构：
[Liu, Q.] D;Department of Information Technology, China
关键词：
Distance education;E-learning;Sakai
摘要：
The changing profile of students, the expectations of business and the capabilities offered by Information and Communication Technologies (ICT) makes it necessary to change teaching practices, particularly in higher education. This paper analyzes students' intention to use Sakai platforms to improve the teaching-learning process. Its main focus is to analyze the use of the Sakai platform by University students in China, investigate the factors that influencing the intention to use it. Understanding the factors influencing the intention to use Sakai will allow us to determine which actions might be carried out to boost its use by University students, to improve both their skills and grades. Our results provide support for a number of relationships in the hypothesized model. Such consideration will help decrease the mismatch between system design and local users' realities, and further facilitate the successful adoption of Sakai in China.
期刊：
Applied Mechanics and Materials,2012年145:465-469 ISSN：1660-9336
通讯作者：
Liu, Q.-T.(liuqtang@ccnu.edu.cn)
作者机构：
[Liu, Qing-Tang] Department of Information Technology, Central China Normal University, Wuhan, 430079, China;[Wu, Lin-Jing; Huang, Huan] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, 430079, China
通讯机构：
[Liu, Q.-T.] D;Department of Information Technology, , Wuhan, 430079, China
会议名称：
1st International Conference on Engineering and Technology Innovation, ICETI 2011
摘要：
Human-Computer Interaction is crucial for Instructional Software. It is significant to make Geometry Instructional Software understand geometric proposition described by natural language and construct geometric figure automatically. However, it is difficult for computer to accurately understand the flexible and variable geometric proposition because of the immaturity of Natural Language Processing Technology. This paper defines a restricted geometric proposition, presents a corresponding comprehension model based on ontology, and designs a matching algorithm for geometric relation pattern, finally transforms the restricted geometric proposition to geometric construction command sequence. The experiment results suggest that the average accuracy of understanding clauses of geometric proposition is almost to 88.9%, and the percentage of constructing correct geometric figure is to 82.5%.
期刊：
The Journal of Information and Computational Science,2012年9(12):3421-3429 ISSN：1548-7741
通讯作者：
Kong, W.(byta100@yahoo.cn)
作者机构：
[Kong, Weiliang; Han, Shuyun; Yang, Zhongkai; Liu, Qingtang] National Engineering Research Center for Elearning, Central China Normal University, Wuhan 430079, China
通讯机构：
National Engineering Research Center for Elearning, Central China Normal University, China
期刊：
ACM International Conference Proceeding Series,2012年:106-109
通讯作者：
Hu, M.(sophie423@163.com)
作者机构：
[Hu, Min; Li, Hao] National Engineering Research Center for E-Learning, Central China Normal University, 152, Luoyu Road, Wuhan, Hubei, China;[Liu, Qingtang] Department of Information Technology, Central China Normal University, 152, Luoyu Road, Wuhan, Hubei, China
通讯机构：
National Engineering Research Center for E-Learning, Central China Normal University, 152, Luoyu Road, China
会议名称：
4th International Conference on Internet Multimedia Computing and Service, ICIMCS 2012
会议时间：
September 9, 2012 - September 11, 2012
会议地点：
Wuhan, China
关键词：
Electronic lesson preparation;Lesson plan management;Online editing;Subject management
摘要：
Chinese word segmentation is a difficult and challenging job because Chinese has no white space to mark word boundaries. Its result largely depends on the quality of the segmentation dictionary. Many domain phrases are cut into single words for they are not contained in the general dictionary. This paper demonstrates a Chinese domain phrase identification algorithm based on atomic word formation. First, atomic word formation algorithm is used to extract candidate strings from corpus after pretreatment. These extracted strings are stored as the candidate domain phrase set. Second, a lot of strategies such as repeated substring screening, part of speech (POS) combination filtering, and prefix and suffix filtering and so on are used to filter the candidate domain phrases. Third, a domain phrase refining method is used to determine whether a string is a domain phrase or not by calculating the domain relevance of this string. Finally, sort all the identified strings and then export them to users. With the help of morphological rules, this method uses the combination of statistical information and rules instead of corpus machine learning. Experiments proved that this method can obtain better results than traditional n-gram methods.
期刊：
International Journal of Advancements in Computing Technology,2011年3(8):9-17 ISSN：2005-8039
通讯作者：
Liu, Q.(liuqtang@mail.ccnu.edu.cn)
作者机构：
[Li, Shiqiang; Cheng, Yun; Zhu, Xiaoliang; Liu, Qingtang; Zhao, Chengling] National Engineering Research Center for E-learning, The Department of Information Technology, Central China Normal University, WuHan, Hubei, China;[Cheng, Yun] Department of Educational Science and Technology, HuangGang Normal University, HuangGang, Hubei, China
通讯机构：
[Liu, Q.] N;National Engineering Research Center for E-learning, , WuHan, Hubei, China
关键词：
Data encryption;Digital content protection;DRM;FFmpeg
摘要：
The explosive growth of multimedia content on the internet is revolutionizing the way of content distribution and presenting new challenges to content security and copyright management. Encryption and watermarking are the most common techniques used to protect copyrighted multimedia content, but both have some limitations. In order to solve the problem, we probe into a new way that is to design a digital rights management (DRM) system based on FFmpeg, the system offers a reproducible and reliable alternative for digital rights management and related applications on the Internet. The protection works by encrypting the packets of key frames. Experiments have proved that encrypting the packets of key frames to protect the digital content of video is available. Other players either can't open the Encrypted video files, or the image is a mosaic and blurred image. Playing the file in the player we developed is fluent, all played properly, and the purpose of digital content protection is achieved.
