作者：
Liu, Sanya;Liu, Zhi;Sun, Jianwen（孙建文）;Liu, Lin
期刊：
International Journal of Digital Content Technology and its Applications,2011年5(3):126-135 ISSN：1975-9339
通讯作者：
Liu, S.(lsy5918@gmail.com)
作者机构：
[Sun, Jianwen; Liu, Sanya; Liu, Zhi; Liu, Lin] Engineering and Research Center for Information Technology on Education, Central China Normal University, National Engineering Research Center for E-Learning, Hubei Wuhan, China
摘要：
Synergetic neural network (SNN) associates synergetics with artificial neural network, it can rigorously deal with the behavior of network in the mathematical theory, and have the advantage of fast learning, short pattern recalling time and so on. In this paper, a pattern recognition method based on the self-adaptive attention parameters presented on the basis of analyzing the key technology of SNN, and the advanced algorithm will be employed in the online writeprint identification, the key point of this algorithm is that it can correct initial mis-identified patterns through measuring similarity between the prototype pattern and the testing pattern in the evolution of order parameters. Experimental results show that the advanced SNN has better performance and robustness than the SNN based on balanced attention parameters. Further, the network's self-learning ability and recognition performance is greatly improved by using advanced SNN.
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.
期刊：
Proceedings of the International Conference on Uncertainty Reasoning and Knowledge Engineering, URKE 2011,2011年2:91-94
通讯作者：
Wu, D.(dr.wudi@gmail.com)
作者机构：
[Wu, Di] National Engineering Research Center for E-Learning, Huazhong Normal University, Wuhan, China;[Ying, Feng; Chengwei, Zhang] Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China
期刊：
Proceedings of the International Conference on Uncertainty Reasoning and Knowledge Engineering, URKE 2011,2011年2:95-98
通讯作者：
Wu, D.(dr.wudi@gmail.com)
作者机构：
[Wu, Di] National Engineering Research Center for E-Learning, Huazhong Normal University, Wuhan, China;[Li, Xiaojing; Chengwei, Zhang] Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, China
期刊：
Proceeding - 5th International Conference on Computer Sciences and Convergence Information Technology, ICCIT 2010,2010年:192-197
通讯作者：
Tan, G.
作者机构：
[Tan, Guoxin; Liu, Tanghai] National Engineering Research Center for E-Learning, Huazhong Normal University, Wuhan, China
摘要：
It is a very challenging task to interactively build a realistic character model. In this paper, by introducing the stretching model and the vector differential adjustor, a character modeling method based on vector difference is proposed. With this method, firstly, a reference model, a vertical stretching model and a horizontal stretching model are constructed in accordance with the model structure of the human body;secondly, the vector differences of control points are obtained between the horizontal stretching model and the reference model, and between the vertical stretching model and the reference model;and then a vector difference adjustor is employed to interactively adjust the control points in the reference model;lastly, a realistic character model is automatically generated based on the control points' coordinates. Experimental results show that this method can overcome the problems associated with other methods, such as: the need to master professional model software, system requirements for large cumbersome model databases, cracks or holes generated in the result model, and make it easy for users to interactively build a realistic character model.
会议名称：
The 29th Chinese Control Conference(第二十九届中国控制会议)
会议时间：
2010-07-29
会议地点：
北京
会议主办单位：
[Liao Haibin;Chen Qinghu] Wuhan Univ, Sch Elect Informat, Wuhan 430079, Peoples R China.^[Wang Hongyong] Henan Univ Technol, Sch Informat Sci & Engn, Zhengzhou 450001, Peoples R China.^[Zhao Qianqian] Huazhong Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
会议论文集名称：
The 29th Chinese Control Conference(第二十九届中国控制会议)论文集
关键词：
Face Recognition;Singular Value Decomposition;Deformable Model;Sparse Representation
摘要：
Presently, face recognition has two main barriers, which are the variation of illumination, expression, pose and the occlusion and disguise respectively. The problem of robust identification human faces with varying expression and illumination, as well as occlusion and disguise will be researched in this paper. Firstly, singular value decomposition will be used for the face image, casting the singular value vector of test face image as a linear combination of the singular value vectors of face database and used deformable model representation; then, match optimization deformable model for solving combinatorial coefficient; finally, according to the sparse nature of coefficients for classification, and use slice-weighted strategy to further improve the robustness. Experimental results on Extended Yale B Database and AR Database shows that this method is very effective for face recognition and can significantly improve the robustness and stability of disguise and occlusion.
作者机构：
[杨宗凯; 朱晓亮; 上超望; 刘清堂] National Engineering Research Center for E-learning, Central China Normal University, Wuhan 430079, China;[赵呈领; 上超望; 刘清堂] 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
摘要：
With the prosperity of the Internet, e-learnlng has been greatly improved. By supporting multiple learners and multiple roles in a learning activity, the IMS Learning Design (LD) specification provides a collaborative scenario for participants. However, IMS LD provides insufficient support for interaction among learning activities and can not dynamically integrate learning resources to meet the continually changing service requirements. In this paper, a Business Process Execution Language (BPEL) enhanced requirement driven learning management architecture to address the issues of personalize adaptive learning was proposed. It models the learning activity by combining IMS LD with BPEL and matches optimal learning sequence based on Case-based reasoning (CBR) method. By providing expandable secure learning sequences flexibly, it satisfies the different actual demands for personalize learning.
