What value can be attached to a concept of mystery and has it a place in contemporary Western culture?

The idea for this thesis arose from a chain of reactions first set in motion by a particular experience. In keeping with the contemporary need to deconstruct every phenomenon it seemed important to analyse this experience in the hope of a satisfactory explanation. The experience referred to is the aesthetic experience provoked by works of art. The plan for the thesis involved trying to establish whether the aesthetic experience is unique and individual, or whether it is one that is experienced universally. Each question that arises in the course of this exploration promotes a dialectical reaction. I rely on the history of aesthetics as a philosophical discipline to supply the answers. This study concentrates on the efforts by philosophers and critical theorists to understand the tensions between the empirical and the emotional, the individual and the universal responses to the sociological, political and material conditions that prevail and are expressed through the medium of art. What I found is that the history of aesthetics is full of contradictory evidence and cannot provide a dogmatic solution to the questions posed. In fact what is indicated is that the mystery that attaches to the aesthetic experience is one that can also apply to the spiritual or transcendent experience. The aim of this thesis is to support the contribution of visual art in the spiritual well being of human development and supports the uniqueness of the evaluation and aesthetic judgement by the individual of a work of art. I suggest that mystery will continue to be of value in the holistic development of human beings and this mystery can be expressed through visual art. Furthermore, this thesis might suggest that what could be looked at is whether a work of art may be redemptive in its affect and offset the current decline in affective religious practice.

Development of a semi-automatic self learning pattern recognition system for the control of electronic boards

This project was funded under the Applied Research Grants Scheme administered by Enterprise Ireland. The project was a partnership between Galway - Mayo Institute of Technology and an industrial company, Tyco/Mallinckrodt Galway. The project aimed to develop a semi - automatic, self - learning pattern recognition system capable of detecting defects on the printed circuits boards such as component vacancy, component misalignment, component orientation, component error, and component weld. The research was conducted in three directions: image acquisition, image filtering/recognition and software development. Image acquisition studied the process of forming and digitizing images and some fundamental aspects regarding the human visual perception. The importance of choosing the right camera and illumination system for a certain type of problem has been highlighted. Probably the most important step towards image recognition is image filtering, The filters are used to correct and enhance images in order to prepare them for recognition. Convolution, histogram equalisation, filters based on Boolean mathematics, noise reduction, edge detection, geometrical filters, cross-correlation filters and image compression are some examples of the filters that have been studied and successfully implemented in the software application. The software application developed during the research is customized in order to meet the requirements of the industrial partner. The application is able to analyze pictures, perform the filtering, build libraries, process images and generate log files. It incorporates most of the filters studied and together with the illumination system and the camera it provides a fully integrated framework able to analyze defects on printed circuit boards.