The continuous evolution of the types of attacks against computer networks suggests a paradigmatic shift from misuse based intrusion detection system to anomaly based systems. Unsupervised learning algorithms are natural candidates for this task, but while they have been successfully applied in host-based intrusion detection, network-based applications are more difficult, for a variety of reaso...

In recent days Inter-Vehicle communication has fascinated many research communities and automotive industries .With the introduction of inter-vehicle communication it would be possible for vehicles to communicate with each other and thus this functionality will provide intelligent transportation system as well as many assistant services for drivers and passengers. Vehicular ad-hoc network is an...

[1] Despite its wide applications as a tool for feature extraction, the Self-Organizing Map (SOM) remains a black box to most meteorologists and oceanographers. This paper evaluates the feature extraction performance of the SOM by using artificial data representative of known patterns. The SOM is shown to extract the patterns of a linear progressive sine wave. Sensitivity studies are performed ...

A set of computerized tools to support a performance oriented parallel program development is integrated in the CAPSE (Computer Aided Parallel Software Engineering) environment. The respective tool support for performance engineering activities covers performance prediction in the design phase, analytical or simulation based performance evaluation in the detailed speciication and coding phase, ...

The demand for digital maps on the Internet has increased considerably in the last few years. Therefore the performance of Web Mapping Services is becoming more and more important. This article introduces different caching techniques for high performance transfer of data using standardized OGC Web Map Services (WMS). It describes and examines different caching mechanisms based on tile caching, ...

RECOGNITION PERFORMANCE Yoshihiko Gotoh 1 Michael M. Hochberg 2 Harvey F. Silverman 1 1 LEMS, Division of Engineering, Brown University, Providence, RI 02912 USA 2 Cambridge University Engineering Department, Trumpington Street, Cambridge CB2 1PZ UK ABSTRACT Hidden Markov models (HMMs) have been quite successfully applied to speech recognition tasks, but many unsolved problems still remain. HMM...

Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of performance accuracy in the area of bankruptcy prediction.  A sample of 108 firms listed in Tehran Stock Exchange is used for the study. Our results confirm that Kohonen network is a robust model for predicting bankruptcy in ...