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With the development of the Internet, a lot of people trapped in the network, especially the adolescent depending on the network game and disturbing their normal life. 579 freshmen participated in this work who were collected the personality questionnaires in the first week they came in university and their grades points average (GPA) after half year. The questionnaires were including Self-Control...
Nowadays found some micro-blog commercial extraction algorithm only considering the relationship between the key words and the number of it appearing in texts, and ignoring the key words' distribution in a certain category, which leads the decreased accuracy problems of micro-blog commercial word extraction. To solve this problem, the application of TF-IDF algorithm in words weight calculation was...
Depending on questions, various answering methods and answer sources can be used. In this paper, we build a distributed QA system to handle different types of questions and web sources. When a user question is entered, the broker distributes the question over multiple sub-QAs according to question types. The selected sub-QAs find local optimal candidate answers, and then they are collected in to the...
A web text classification method using a neural network is presented here. The proposed method can classify a set of English text documents into a number of given classes depending on their contents where the number of such classes is not known a priori. Text documents, internet edition of news paper, from various faculties of games and sports are considered for experimentation. The method is found...
Distributed Virtual Environments like online games or 3D virtual worlds have become very popular in the last few years and a more substantial surge in popularity and use is expected. Because of the huge number of users, such environments will undergo a change of infrastructure from a centralized to a decentralized one, making higher demands on consistency issues. This paper addresses consistency problems...
Application identification plays a crucial role in network management. Among many different approaches introduced in the field, Bernaille et al. introduces connection based clustering to identify applications. In this paper, first four packet sizes with directions are used as a feature set to cluster different applications in wireless environment, which is acclaimed to cluster with 93.7% of accuracy...
In its 5th decade, the Internet's future evolution is hampered by the increasing complexity and sophistication of the processes managing its infrastructure. Management costs require a technically skilled human intellect, amounting to a substantial part of total cost of ownership. Self-management is positioned as a key capacity towards a scalable future Internet architecture. Herein we present key...
This paper describes our study applying GA to search the reward values for reinforcement learning in a soccer video game using learning classifier systems. In particular, we report the result of promotion of efficiency by dividing searched space and searching the divided space alternately. We have already proposed that acquiring algorithms by using the event-driven hybrid learning classifier system...
Traffic classification and identification is a fertile research area. Beyond Quality of Service, service differentiation, and billing, one of the most important applications of traffic classification is in the field of network security. This paper proposes a packet-level traffic classification approach based on Hidden Markov Model (HMM). Classification is performed by using real network traffic and...
Distributed virtual environments like online games or 3D virtual worlds have become very popular in the last few years and a more substantial surge in popularity and use is expected. Because of the huge number of users, such environments will undergo a change of infrastructure from a centralized to a decentralized one, making higher demands on consistency issues. This paper addresses consistency problems...
The objective of this research is to develop an automatic and efficient news video indexing and management system based on the characteristics of the structure of a complete TV news video in Taiwan. We first employed two features which include the Normalized Color Histogram Intersection of Quantized Hue and Edge Exchanging Ratio to detect the shot boundaries and to segment the corresponding shots...
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