• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.3
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• pp.175-196
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• 2002

The increase of meteorological uncertainty and unstable fluctuation of its behavior due to the global warming affect the temporal variation and spatial distribution of water resources and water use patterns in agriculture. There have been steady efforts to understand hydrological components and deal with such water related problems. This paper reviews firstly, the future effect of water resources due to climate changes, secondly, recent progress for precipitation, evapotranspiration, soil moisture, and thirdly, GIS/RS based integrated information systems conducted by both researchers and government ministries. There should be continuous studies and investments to cope with climate changes, and to accomplish sustainable development with the help of agricultural water resources. Some research topics were suggested to attempt with substantial contents considering our present capability and situation.

• Journal of Korean Academy of Nursing
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• v.51 no.4
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• pp.395-407
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• 2021

The COVID-19 curve seesawed and reached the fourth pandemic in July 2021. Since the first three waves, the focus has been on achieving herd immunity through vaccination while a lot of manpower is used for quarantine. However, we have not been able to prevent the fourth wave. The causes are thought to be related to people who doubt the safety of the vaccine and refuse it or violate quarantine guidelines such as social distancing. This study examined guidelines for preventing and controlling COVID-19, the accuracy of vaccination-related information, and described quarantine measures including for those who completed vaccination. In conclusion, prevention and vaccination are the most effective countermeasures against COVID-19. We recommend people vaccination with self-quarantine. Also, it is necessary to make large investments to protect and support nurses in future pandemics.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.1-7
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• 2022

Explainable AI (XAI) is an approach that leverages artificial intelligence to support human decision-making. Recently, governments of several countries including Korea are attempting objective evidence-based analyses of R&D investments with returns by analyzing quantitative data. Over the past decade, governments have invested in relevant researches, allowing government officials to gain insights to help them evaluate past performances and discuss future policy directions. Compared to the size that has not been used yet, the utilization of the text information (accumulated in national DBs) so far is low level. The current study utilizes a text mining strategy for monitoring innovations along with a case study of smart-farms in the Honam region.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.563-572
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• 2007

Transportation infrastructure is critical to economic growth of a country such as China. Careful evaluation of investments in traffic infrastructure projects is therefore pertinent. As traditional evaluation methods do not consider the uncertainty of future cash flows and mobility during project execution, the real option approach is gradually gaining recognition in the context of valuing construction and infrastructure projects. However, many of the cases only evaluate individual options separately although multiple options often exist in a typical large infrastructure project. Using a highway project in China as a case study, this paper first evaluates a deferment option and a growth option embedded in the project. Subsequently, the values are combined using the fuzzy analytical hierarchy process. It is found that the combined value is less than the sum of the two option values. This finding is consistent with the theoretical observations given in past real option literature despite the use of a different approach.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.21-22
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• 2015

Productivity has been a wide-ranging challenge for the construction industry, both in Australia and globally. Particularly in Western Australia's construction and resources sectors, continuously low productivity will potentially discourage future investments. The emergence of the global marketplace necessitates that the supply chain needs to focus on the concept of the holistic efficiency. The isolated geographical position of Australia only exacerbates this phenomenon. In recent years, Building Information Modelling (BIM) has been suggested as an efficient way to help productivity improve and information management throughout supply chains. This keynote talk will focus on discussing ways of implementing BIM to enhance site productivity focusing on Western Australia's construction projects. It will show new trends of its applications to accomplish an innovative way in construction project management. The talk will also give an insightful summary of integrated methods with state-of-the-art technologies backboned by the BIM cases from construction and oil and gas industry projects.

• Korean System Dynamics Review
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• v.2 no.2
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• pp.25-40
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• 2001

This paper describes the forecast of power plant construction in a competitive korean electricity market. In Korea, KEPCO (Korea Electric Power Corporation, fully controlled by government) was responsible for from the production of the electricity to the sale of electricity to customer. However, the generation part is separated from KEPCO and six generation companies were established for whole sale competition from April 1st, 2001. The generation companies consist of five fossil power companies and one nuclear power company in Korea at present time. Fossil power companies are scheduled to be sold to private companies including foreign investors. Nuclear power company is owned and controlled by government. The competition in generation market will start from 2003. ISO (Independence System Operator will purchase the electricity from the power exchange market. The market price is determined by the SMP(System Marginal Price) which is decided by the balance between demand and supply of electricity in power exchange market. Under this uncertain circumstance, the energy policy planners such as government are interested to the construction of the power plant in the future. These interests are accelerated due to the recent shortage of electricity supply in California. In the competitive market, investors are no longer interested in the investment for the capital intensive, long lead time generating technologies such as nuclear and coal plants. Large unclear and coal plants were no longer the top choices. Instead, investors in the competitive market are interested in smaller, more efficient, cheaper, cleaner technologies such as CCGT(Combined Cycle Gas Turbine). Electricity is treated as commodity in the competitive market. The investors behavior in the commodity market shows that the new investment decision is made when the market price exceeds the sum of capital cost and variable cost of the new facility and the existing facility utilization depends on the marginal cost of the facility. This investors behavior can be applied to the new investments for the power plant. Under these postulations, there is the potential for power plant construction to appear in waves causing alternating periods of over and under supply of electricity like commodity production or real estate production. A computer model was developed to sturdy the possibility that construction will appear in waves of boom and bust in Korean electricity market. This model was constructed using System Dynamics method pioneered by Forrester(MIT, 1961) and explained in recent text by Sternman (Business Dynamics, MIT, 2000) and the recent work by Andrew Ford(Energy Policy, 1999). This model was designed based on the Energy Policy results(Ford, 1999) with parameters for loads and resources in Korea. This Korea Market Model was developed and tested in a small scale project to demonstrate the usefulness of the System Dynamics approach. Korea electricity market is isolated and not allowed to import electricity from outsides. In this model, the base load such as unclear and large coal power plant are assumed to be user specified investment and only CCGT is selected for new investment by investors in the market. This model may be used to learn if government investment in new unclear plants could compensate for the unstable actions of private developers. This model can be used to test the policy focused on the role of unclear investments over time. This model also can be used to test whether the future power plant construction can meet the government targets for the mix of generating resources and to test whether to maintain stable price in the spot market.

• Journal of the Korean Society of Costume
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• v.64 no.2
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• pp.50-69
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• 2014

Sustainability has been a big issue over the whole global industry lately and is an important fashion trend that reflects the modern phase of the time. The concept of sustainable fashion includes physical fashion products made from eco-friendly or recycle materials as well as ethical value such as corporate social responsibility for environment, labor or working condition. Fashion companies of advanced countries who are aware of the geo-environmental and ethical issues found that generating profits by setting trends and pursuing external beauty can no longer be the ultimate goal of fashion companies, and started to recognize the importance of sustainable fashion as a future-oriented trend. Not only fashion industry but also governments of advanced countries have been playing a leading role to educate the people regarding the importance of sustainable fashion and making large investments to foster industry specialists in educational institution. The aim of this study is to propose sustainable fashion design education program that fits the domestic university curriculum and government-leading education program in order to set the foundation for sustainable fashion industry. Thus, this study investigates successful cases of foreign government-led sustainable fashion education that can be introduced to improve domestic sustainable fashion education. The empirical study of the research is developing 12-15 week university level education program to foster specialists in sustainable fashion. The survey carried out by the students who participated in the program shows the change of perception on sustainable fashion. Developed university level program can be spread to municipal corporation, school of continuing education, and etc. in order to derive participation and problem perception of the citizens on sustainability. Developing systemized sustainable fashion design education program would be the first step of sustainable fashion by educating students who will take the leading role in the future fashion industry. Moreover, it can strongly influence future customer education as well as a special education inducing interest on sustainability in everyday life. A follow-up study is expected to serve as a foundation for sustainable fashion to take root successfully in the fashion industry.

• Korean Management Science Review
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• v.20 no.1
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• pp.25-36
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• 2003

Now that many organizations have invested a tremendous amount of money and efforts to operate Web sites on the Internet, there is a strong demand to understand the effectiveness of such investments. In other words, one of most frequent and important questions about their Web sites is "Will the current Web site management policy be effective enough to have more visitors come to our Web site\ulcorner" In this paper, a system which predicts the degree of user interest in the future to Web sites is constructed. The degree of user interest to a Web site is defined to be the visit counts for the Web site in the system. With higher the visit counts, the related site is considered to be more interesting. However, the figures of the visit counts themselves cannot explain properly the degree of user Interest in the future to the related Web sites (i.e. the effectiveness of the related Web sites). Therefore, the system also uses mechanisms which use the concept of the Moving Averages, which have been used frequently in the stock exchanges. In this paper. two prediction mechanisms are proposed and compared. The first mechanism uses the Golden Cross/the Dead Cross of the Moving Averages, while the second mechanism uses the changes of upward/downward direction of the Moving Averages. Experimental results show that the two prediction mechanisms proposed in this paper predict the degree of user interest in the future to the related Web sites very well in most cases. However, the first one is considered to be better than the second one In the sense that the second one is too much sensitive to the changes of visit counts.it counts.

• The Journal of Fisheries Business Administration
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• v.44 no.3
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• pp.61-76
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• 2013

This study is aimed to present measures for stable supply of fishmeal and to develop fish farming into a food industry and an export industry. The study analyzed current domestic and international supply and demand for fishmeal and suggested future prospects. The results of the study suggested the basic directions for the stable supply of fishmeal in Korea as follows: first, stable securing of fishmeal importers and establishment of the supply and demand monitoring system; second, policies to boost using of compound feeds and expansion of relevant fishmeal use; third, higher competitiveness of fishmeal and compound feeds through selective and intensive R&D investments. Based on the basic directions, the paper suggested implementation measures such as strengthening of cooperations with fishmeal suppliers abroad, expansion of overseas local market entrance, diversification of fishmeal trading countries, revision of relevant laws and polices on the fishmeal and feeds, organization of domestic fishmeal, promotion of group purchase, improvement of domestic fish meal quality, development of fish meal alternatives, etc.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.5-8
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• 2015

Kenya is a sovereign country with a vast potential in maritime industry. Though Kenya is known to have made it in IMO white list on $14^{TH}$ May 2010, she is making huge investments in maritime industry in an effort to have a share of booming world maritime industry and sea trade. Statistics has it that 90% of trade volume is carried on the sea, which is strong indication that for any country inspiring to be an economic powerhouse it has to have a lion share of sea trade volume, and one of the proven ways in gaining economic success is by investing heavily in maritime infrastructure. The purpose of this paper is to give a brief description of marine traffic status in port of Mombasa which is the largest port in Kenya, highlight vital features of multi-billion Lamu port investment under taken by the Kenyan government and finally discuss the future of maritime industry and Kenyan seafarer.