Z. Zaharis

Boolean Particle Swarm Optimization of 3-branch GSM/DCS/UMTS current dividers by using Artificial Immune System

A new binary version of Particle Swarm Optimization called Boolean PSO (BPSO) is applied in order to design current dividers that distribute the current to three output ports and resonate simultaneously at three frequencies. The BPSO is based on the negative selection, which is one of the basic processes in an Artificial Immune System (AIS). The optimizer must satisfy specific requirements at all resonant frequencies, concerning the impedance-matching bandwidth and the distribution of the complex current on unmatched real or complex terminal loads. The dividers are considered to feed mobile communications antenna arrays and are optimized for GSM/DCS/UMTS operation. The optimization is performed by applying both the BPSO and a conventional PSO. The comparison shows that the BPSO is more efficient because it has the ability to produce structures with better frequency response.

A web-based melanoma image diagnosis support system using topic map and AJAX technologies

The design and implementation of a web-based diagnostic support tool for melanoma dermatological images and related diagnostic data is presented. The proposed system is semantic web-based and is driven by exploiting the combination of AJAX framework and topic map technology. A novel client/server architecture was developed that enables several clients to interact online with the topic map-based system. Users have the ability to access the system anywhere and anytime via a simple Internet browser. Additionally, an ABCD application has been developed for automated calculation of ABCD parameters and consequently embedded in the proposed TM-based system.