JCP
2008
13 years 11 months ago
2008
It presents some definitions of projected cluster and projected cluster group on hybrid attributes after having given some definitions on ordered attributes and sorted attributes t...
JCP
2008
13 years 11 months ago
2008
Multi-pixel encoding is an emerging method in visual cryptography for that it can encode more than one pixel for each encoding run. Nevertheless, in fact its encoding efficiency is...
JCP
2008
13 years 11 months ago
2008
In sensor networks, continuous query is commonly used for collecting periodical data from the objects under monitoring. This sort of queries needs to be carefully designed, in orde...
JCP
2008
13 years 11 months ago
2008
An important issues in the design of interconnection networks for massively parallel computers is scalability. A new scalable interconnection network topology, called Double-Loop H...
JCP
2008
13 years 11 months ago
2008
This paper discusses the issue of information interoperability. In view of the problems that it is difficult to solve the semantic conflicts in information interoperability, the pa...
JCP
2008
13 years 11 months ago
2008
The aim of this study is to develop a computational method of discourse analysis based on corpus semantics. The objective is to achieve an accurate understanding of the debate cont...
JCP
2008
13 years 11 months ago
2008
To build a cooperative logistics network covering multiple enterprises, a planning method that can build a long-distance transportation network is required. Many strict constraints...
JCP
2008
13 years 11 months ago
2008
Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as...
JCP
2008
13 years 11 months ago
2008
Fault detection in large-scale systems is conducted by the use of sensors, thus the sensor location influences the performances of fault detection directly. As the scale of systems...
JCP
2008
13 years 11 months ago
2008
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...