4 resultados para Place recognition algorithm
em Galway Mayo Institute of Technology, Ireland
Resumo:
There is considerable interest in alcohol in Irish society, yet minimal sociologcial understanding of its consumption, particularly of the sites where most drinking occurs: the country's 8750 pubs. Despite widespread public discussions on the role of the pub, there is scant social science evidence to better inform debate. Pubs are central to Irish community and are key sites of social interaction. American sociologist Ray Oldenburg has argued that "third places" (neither workplace nor home) are crucial to the maintenance of the community and the enhancement of social capital. According to Oldenburg, the role of the third place in the community is to provide continuity, regularity, a sense of place - all of which conceptually contribute to the construction of the self, the projection of the self within the public sphere, the distribution of social capital and the generation of a collective identity. The pub is the archetypal third place, but Oldenburg is concerned that modern pubs are less able to provide this vital function. Social scientists have suggested that community is in a state of fragmentation and decline due to changes in modes of social interaction and a decrease in shared spaces, resulting in a weakened connection to place. Community without propinquity has been characterised by social alienation, fragmentation and what Oldenburg refers to as the "problem of place" (13). Third places, and thus the Irish pub, have been particularly affected. In order to increase the sociological knowledge of the pub in Ireland, this project critically engages with the pub to assess the importance that public drinking houses have in the everyday. Moreover, this research sets out to investigate the people/place relationship using the pub as an investigative lens and examine the ways in which people shape place, place shapes people and how that relationship is implicated in the construction of irish identities. Furthermore, this is also an articulation of a cultural shift within Ireland and Irish places whose effects are deep and multi-layered. This project aims to explore the development of the contemporary geography of identity as the irish pub as a third place is transformed or disappears from the social landscape.
Resumo:
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.
Resumo:
As digital imaging processing techniques become increasingly used in a broad range of consumer applications, the critical need to evaluate algorithm performance has become recognised by developers as an area of vital importance. With digital image processing algorithms now playing a greater role in security and protection applications, it is of crucial importance that we are able to empirically study their performance. Apart from the field of biometrics little emphasis has been put on algorithm performance evaluation until now and where evaluation has taken place, it has been carried out in a somewhat cumbersome and unsystematic fashion, without any standardised approach. This paper presents a comprehensive testing methodology and framework aimed towards automating the evaluation of image processing algorithms. Ultimately, the test framework aims to shorten the algorithm development life cycle by helping to identify algorithm performance problems quickly and more efficiently.
Resumo:
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.