The overall aim of the research project is to investigate the alms and the consequences of the 1988 Seoul Olympic Games. The Seoul Olympics took place over twenty years ago, and the event has had a significant impact on South Korean society which is best explained by reference to theories of globalization and mega events. The project uses qualitative methods and a variety of data sources to evaluate the domestic impact of the Games in relation to culture, politics, sport, and economics. The analysis is contextualised within an understanding of Korean history with specific reference to Japanese colonialism and relations between North and South Korea. Particular attention is paid to the decision by most of the Communist bloc to participate in the Seoul Olympics, despite a North Korean boycott. The thesis also examines the reasons that lay behind Seoul wiuning the right to host the Games, as well as the postGames consequences, both of which are addressed using empirical data drawn from interviews and documentary evidence. Having addressed the evidence within the context of wider sociological debate concerning globalisation, the thesis concludes that South Korea's political, economic, cultural and sporting interests were well served by the Seoul Olympic Games, and that hosting a mega-event of this scale helped to accelerate South Korea's modernisation process and its emergence on the global stage.

This thesis focuses on the Binary Integer Modulo-Division Algorithm that is essential for the permutation process in Sunar-Koc ONB Type II Multiplier and also for other general purposes. This thesis explains the new algorithm developed based on the systolic array architecture which gives a systematic approach to the iterative process for the Modulo-Division. The scheduling and projection timing functions are proposed for the processor array allocation and the matlab code has been implemented to verify the efficiency of the algorithm. The thesis also explores the possibility of word based algorithm for design optimisation. / Graduate / 0544 / 0984 / m.shubha8@gmail.com

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The dominating factors affecting sorption of per- and polyfluoroalkyl substances (PFAS) remain subject of research and debate. Traditionally, distribution coefficients (e.g., Kd and KOC) are used to calculate the fractionation of the contaminant between soil and water, to estimate leaching and subsequently the risks it imposes reaching water reservoirs. Research has aimed to establish the sorption mechanisms for PFAS but, due to the complexity of interactions between the substance specific physiochemical properties and geochemical sorbent characteristics, it has shown to be a complicated task. For PFOS, one of the most commonly encountered PFAS, the Swedish Geotechnical Institute (SGI) recommends using the 10th percentile of a small data set for the organic carbon-water distribution coefficient KOC (500 L/kg) and multiply this with the organic content of the in-situ soil to obtain the soil-water distribution coefficient (Kd). The result of this study shows that this method is insufficient to obtain a good approximation of the mobility of PFOS at a contaminated site. With a review of recent research on PFAS sorption and a case study performed at Stockholm Arlanda Airport, this study concludes that as of today, and due to PFAS potent mobility, well measured field coefficients for each soil type present in the soil profile and an elaborate geohydrological model is necessary to estimate PFAS environmental transport, fate and associated risks. It also concludes that parameters such as anionic exchange capacity and soil protein content may be highly relevant to estimate PFAS sorption.