International Journal of Computational Intelligence Systems

Volume 1, Issue 4, December 2008

1. Clustering feature vectors with mixed numerical and categorical attributes

R.K. Brouwer
Pages: 285 - 298
This paper describes a method for finding a fuzzy membership matrix in case of numerical and categorical features. The set of feature vectors with mixed features is mapped to a set of feature vectors with only real valued components with the condition that the new set of vectors has the same proximity...

2. Support Vector Regression with Interval-Input Interval-Output

Wensen An, Cecilio Angulo, Yanguang Sun
Pages: 299 - 303
Support vector machines (classification and regression) are powerful machine learning techniques for crisp data. In this paper, the problem is considered for interval data. Two methods to deal with the problem using support vector regression are proposed and two new methods for evaluating performance...

3. An Image Based Approach to Compute Object Distance

Ashfaqur Rahman, Abdus Salam, Mahfuzul Islam, Partha Sarker
Pages: 304 - 312
Computing object distance using image processing is an important research area in the field of computer vision and robot navigation applications. In this paper we have proposed a new method to compute the distance of an object using a single image. According to our observation there exists a relationship...

4. A Survey for Data Mining Framework for Polymer Matrix Composite Engineering Materials Design Applications

Hosahalli Doreswamy
Pages: 313 - 328
In this paper, a survey for Data Mining frame work has been done for proposing Data Mining methodologies to engineering materials design applications. An exhaustive literature survey made in this article has covered the modeling systems such as Analytical Model, Numerical Simulation Model and Computer...

5. Designing Structural Parameters of Nonwovens Using Fuzzy Logic and Neural Networks

Philippe Vroman, Ludovic Koehl, Xianyi Zeng, Ting Chen
Pages: 329 - 339
In this paper, a computer aided system for designing nonwoven materials is presented. As an original approach in the field of nonwoven research, both quality measurement analysis and human knowledge processing are integrated in the system. It allows designers to optimize the structure of nonwoven materials...

6. Use of computational intelligence for the prediction of vacancy migration energies in atomistic kinetic monte carlo simulations

Nicolas Castin, Lorenzo Malerba, Roberto Pinheiro Domingos
Pages: 340 - 352
procedures for the calculation of point-defect migration energies in Atomistic Kinetic Monte Carlo (AKMC) simulations, as functions of the Local Atomic Configuration (LAC). Two approaches are considered: the Cluster Expansion (CE) and the Artificial Neural Network (ANN). The first is found to be unpromising...

7. Obstacle Avoidance of a Class of Underactuated Robot Manipulators: GA based approach

Qingbo Liu, Milan Zhang, Yueqing Yu, Shanzeng Liu
Pages: 353 - 360
This paper presents a practical collision-free motion planning method for general underactuated robot manipulators. First the dynamic properties of underactuated robot manipulator are analyzed, and then the collision avoidance problem is formulated and solved as a position-based force control problem....

8. Management of Uncertainty and Spatio-Temporal Aspects for Monitoring and Diagnosis in a Smart Home

Juan Carlos Augusto, Jun Liu, Paul McCullagh, Hui Wang, Jian-Bo Yang
Pages: 361 - 378
The health system in developed countries is facing a problem of scalability in order to accommodate the increased proportion of the elderly population. Scarce resources cannot be sustained unless innovative technology is considered to provide health care in a more effective way. The Smart Home provides...

9. Neural Network Based Traffic Prediction for Wireless Data Networks

Gowrishankar, P.S. Satyanarayana
Pages: 379 - 389
In a wireless network environment accurate and timely estimation or prediction of network traffic has gained much importance in the recent past. The network applications use traffic prediction results to maintain its performance by adopting its behaviors. Network Service provider will use the prediction...