This paper presents an approach for optimizing both recognition and processing performance of a biometric system in identification mode. Multibiometric techniques facilitate bridging the gap between desired performance and current unimodal recognition rates. However, traditional parallel classifier combination techniques, such as Score sum, Borda count and Highest rank, cause further processing...

Using automated time-lapse fluorescence microscope imaging to measure drug response, e.g. using taxanes and the vinca alkaloids to cancers, has become a common practice in cancer research ands drug discovery. A mature system usually consists of the following subsystems: image acquisition subsystems, image pre-processing subsystems, image analysis subsystems, database subsystems and data analysi...

The application of Artificial Intelligence (AI) techniques to the problem of botanical identification is not particularly widespread even less so on Internet. There are several interactive identification systems but they usually deal with raw knowledge so it appears that “research and development of web-based expert systems are still in their early stage” (Li et al., 2002). In this paper we pre...

System identification methods for non-linear aeroelastic systems could find uses in many aeroelastic applications such as validating finite element models and tracking the stability of aircraft during flight flutter testing. The effectiveness of existing non-linear system identification techniques is limited by various factors such as the complexity of the system under investigation and the typ...

The slow convergence and local minima problems associated with neural networks (NN) used for non-linear system identification have been resolved by evolutionary techniques such as differential evolution (DE) combined with Levenberg Marquardt (LM) algorithm. In this work the authors attempted further to employ an opposition based learning in DE, known as opposition based differential evolution (...

This paper introduces a vehicle identification system (VIS) by automated Korean license plate reading. Generally, an automatic violator detection system requires various techniques, including sensing, image acquisition, license plate reading, communication, database, and so on. We developed all of such techniques and integrated into an intelligent law enforcement system against traffic violatio...

Most of the currently used techniques for linear system identification are based on classical estimation paradigms coming from mathematical statistics. In particular, maximum likelihood and prediction error methods represent the mainstream approaches to identification of linear dynamic systems, with a long history of theoretical and algorithmic contributions. Parallel to this, in the machine le...