作者机构：
[符国庆] School of Information Science and Technology, Hunan Agricultural University, Changsha 410128, China;[李晓争; 徐维祥] School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
通讯机构：
[Fu, G.-Q.] S;School of Information Science and Technology, Hunan Agricultural University, China
摘要：
Although the current E-Learning systems have many Merits, Many of them only treat advanced information technology as simple communication tools, and release some learning contents and exercises in the network. In this paper, a one-class-in one network for emotion recognition system in E-learning is proposed and implemented in the paper. Using a large database of phoneme-balanced Chinese words read by speakers consciously trying to portray an emotion, we trained and tested this module. We achieved a recognition rate of approximately 55%. The results obtained in this study demonstrate that emotion recognition in speech is feasible, and that neural networks are well suited for this task.
摘要：
The paper proposes a new network intrusion detection system based on fuzzy neural network by redesigning the intrusion detection system's architecture and arithmetic. In order to overcome the difficulty of specifying the membership function of rules depending on experiences of experts in multi-dimension space.,neural network is introduced to distinguish non-linearly input/output characteristics of complex system and to generate rule sets and membership functions automatically. The new architecture adopts the network processor to collect and analyse the data in the low layer of network.,and to establish a prototype system. This system demonstrated in this experiment appears to be better intrusion detection ability, moreover, which is able to detect unknown attack and plays down false alarms.
作者机构：
[王实; 张锦; 李睿] College of Software, Hunan Univ., Changsha 410082, China;[林雪梅] School of Information Science and Technology, Hunan Agricultural Univ., Changsha 410128, China;[成奋华] Dept. of Electron Information Engineering and Technology, Hunan Science Vocational College, Changsha 410082, China;[张锦] Dept. of Biomedical Engineering, Zhejiang Univ., Hangzhou 310027, China
会议名称：
Digital Media and its Application in Museum & Heritages, Second Workshop on
摘要：
The pest catastrophe prediction in ecology catastrophe is one of important part in expert system of intelligence agriculture for prevent and control pest catastrophe occurrence efficiently. The paper introduces the basic principles and methods of current catastrophe prediction in ecology. By modeling for the dynamic process of population, up-grown and amount of spawn, the paper finds out the trigger point and critical value, inducing the pest catastrophe and implements the catastrophe prediction Of cnaphalocrosis medinalis guenee before catastrophe to prevent big population coming into being.
