• Korean Journal of Agricultural and Forest Meteorology
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• v.13 no.2
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• pp.101-108
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• 2011

Climate change could have a pronounced impact on natural and agricultural ecosystems. To assess the impact of climate change, projected climate data have been used as inputs to models. Because such studies are conducted occasionally, it would be useful to employ Cloud computing, which provides multiple instances of operating systems in a virtual environment to do processing on demand without building or maintaining physical computing resources. Furthermore, it would be advantageous to use open source geospatial applications in order to avoid the limitations of proprietary software when Cloud computing is used. As a pilot study, Amazon Web Service ? Elastic Compute Cloud (EC2) was used to calculate the number of days with rain in a given month. Daily sets of climate projection data, which were about 70 gigabytes in total, were processed using virtual machines with a customized database transaction application. The application was linked against open source libraries for the climate data and database access. In this approach, it took about 32 hours to process 17 billion rows of record in order to calculate the rain day on a global scale over the next 100 years using ten clients and one server instances. Here I demonstrate that Cloud computing could provide the high level of performance for impact assessment studies of climate change that require considerable amount of data.

• Journal of Technology Innovation
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• v.17 no.2
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• pp.109-130
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• 2009

As recently the interest in the future industry grows high, the demand for forecasting the future shape of science and technology, especially exploring 'weak signals' of changes in science and technology, increases as well. The 'weak signals' means that currently they are uncertain and abnormal signals, but are preliminary signals which might lead future changes. Accordingly they can provide important clues to the future forecast. The study of 'weak signals' has its significance in providing important clues to the projection of the future technology earlier. As it has not a long history from its concept to exploration methods to utilization, more intensive study is required. Exploring 'weak signals' has been conducted mainly through the information analysis by experts with a high level of intelligence and sense. However, such an analysis is difficult and broad in scope, and furthermore the interpretation of analysis results is very limited, relying primarily on the decision of experts themselves. The purpose of this study is to provide a more objectified way to support these expert-based tasks. It derives quantitative results from non-structured article information and provides a logical basis for detecting the signals based on the results.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.562-571
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• 2019

The expansion of the performing arts market to include new genres of art that combine art and cutting-edge media technology has surpassed the limitations of traditional theatre art elements such as stage, costumes, lighting, sound, and props, allowing free expression of space-time and visual art. It is growing into a wide area with unlimited potential in the performing arts sector. In response to these changes and the demands of the time, there is an increasing demand for multi-talents who can plan and produce arts and technology-converged contents that will contribute to the development of the performing arts industry. As a result, university departments related to theatre art across the country feel that it is urgent to develop curricula that will enhance students' competency by incorporating the latest media technologies such as virtual reality, holography, and interactive motion sensors into the existing performance art visualization process. In this study, the author will examine the process of developing courses in technology-incorporated theatre art (design) through case studies of media technology-converged performances from the past 10 years. Based on the traditional concept of theatre art, the attempt to fuse stage art with media technology will be a cornerstone of attempts to foster a group of talented artists who transcend the limits of creative visual expression and creative value.

• Korean Journal of Social Welfare
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• v.60 no.3
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• pp.31-58
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• 2008

This study examines applying the elderly poverty labor hypothesis and skill-biased technological change hypothesis to labor force participation rate(LFPR) of older males in Korea. These hypotheses have hardly been examined on the this group. The analysis is based on the data "Summary of economically active population($1965{\sim}2007$)", "Population projection($1965{\sim}2007$)", "Report on wage structure survey($1993{\sim}2005$)" and "Korea Labor and Income Panel Study($1998{\sim}2006$)". The method employed for this study is logistic regression. The main results from this analysis are summarized in five points. Firstly, Korean older males' LFPR have been increasing since 1965 when industrialization was expanding at full steam. This trend has been different from the decreasing trend of industrialized countries. The second finding is that poor older males' LFPR is, on the average, 5.2% higher than that of non-poor older males from 1998 to 2005. The third result is that the non-elderly man has been increasingly positioned at higher grade occupations, while the elderly man has been held at lower grade occupations. The fourth is that labor demand for highly educated workers has exceeded the increased labor supply of the group, while the demand for low educated workers has decreased far beyond the declined labor supply. As a result, college premium has increased from 139% in 1993 to 157.8% in 2005. The final main implication of this study is that the industrialization theory and modernization hypothesis still holds for the LFPR of Korean older males. However, the elderly affluence hypothesis of the LFPR of older males are hardly persuasive in explaining Korean phenomenon. Especially, we find that the elderly poverty is the main mechanism in determining the Korean LFPR in old ages. This supports the elderly poverty labor hypothesis presented in this study. Skill-biased technological change hypothesis partially explains the LFPR of older man. However, we believe that other factors; human capital specially high school education rather than university education and skill required in less skill biased occupations or the poverty; also have taken effect.