• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.9
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• pp.900-906
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• 2010

We analyse benefits and costs of investment on the assurance of aircraft design and development of related infrastructure. Although the discounted cash flow from the sales of aircrafts is found to be smaller than the amount of required investment, the net present value considering the effects of export increase, import substitution, and the accident cost reduction is very high. This justifies governmental investment, for the effects are not easily appropriated by private investors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.8
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• pp.4133-4145
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• 2017

Advances in science and technology are driving us to the better life but also forcing us to make more investment at the same time. Therefore, the government has provided the investment to carry on the promising futuristic technology successfully. Indeed, a lot of resources from the government have supported into the science and technology R&D projects for several decades. However, the performance of the public investments remains unclear in many ways, so thus it is required that planning and evaluation about the new investment should be on data driven decision with fact based evidence. In this regard, the government wanted to know the trend and issue of the science and technology with evidences, and has accumulated an amount of database about the science and technology such as research papers, patents, project reports, and R&D information. Nowadays, the database is supporting to various activities such as planning policy, budget allocation, and investment evaluation for the science and technology but the information quality is not reached to the expectation because of limitations of text mining to drill out the information from the unstructured data like the reports and papers. To solve the problem, this study proposes a practical text mining methodology for the science and technology trend analysis, in case of aerospace technology, and conduct text mining methods such as ontology development, topic analysis, network analysis and their visualization.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.1-6
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• 2012

This paper aims to suggest a validity analysis model that would be helpful for local governments considering u-City construction projects and a methodology for them to promote build-transfer-lease (BTL) u-City projects. This methodology mainly uses quantitative and qualitative analysis based on the Value For Money (VFM) designed by the Public and Private Infrastructure Investment Management Center (PIMAC) under the Korea Development Institute (KDI). BTL projects requires a large amount of capital and involves long-term investments. Therefore, multi-faceted validity analysis is required for the success of a project. This study will enumerate various factors to be considered in the pre-analysis of validity of BTL projects and suggest a methodology to verify them. A case study of a BTL project promoted by Ansan City assisted in designing this study in detail.

• Journal of the Society of Disaster Information
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• v.11 no.4
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• pp.467-474
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• 2015

This study is about the demand survey of R&D for preventing disaster and safety accidents. The results are as follows. First, the priorities of technology development is shown in the following order: natural disasters, human and social disaster, and safety accidents. Second, the amount of R&D investment is shown in the following order in respect of disaster management phase: prevention, preparedness, response and recovery. However, investment in the recovery phase was low. Third, it was concentrated on some types the demands of technological development in the public sector. There is a possibility of duplication of technology development in government investment. Suggest that interagency cooperation is required.

• KEPCO Journal on Electric Power and Energy
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• v.7 no.1
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• pp.171-177
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• 2021

In terms of distribution planning, accurate electric load prediction is one of the most important factors. The future load prediction has manually been performed by calculating the maximum electric load considering loads transfer/switching and multiplying it with the load increase rate. In here, the risk of human error is inherent and thus an automated maximum electric load forecasting system is required. Although there are many existing methods and techniques to predict future electric loads, such as regression analysis, many of them have limitations in reflecting the nonlinear characteristics of the electric load and the complexity due to Photovoltaics (PVs), Electric Vehicles (EVs), and etc. This study, therefore, proposes a method of predicting future electric loads on distribution lines by using Machine Learning (ML) method that can reflect the characteristics of these nonlinearities. In addition, predictive models were developed based on actual data collected at KEPCO's existing distribution lines and the adequacy of developed models was verified as well. Also, as the distribution planning has a direct bearing on the investment, and amount of investment has a direct bearing on the maximum electric load, various baseline such as maximum, lowest, median value that can assesses the adequacy and accuracy of proposed ML based electric load prediction methods were suggested.

• Culinary science and hospitality research
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• v.3
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• pp.385-421
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• 1997

This study was performed as placing stress on business plan preparation and investing economy analysis centered to cases upon presenting the premises of study for new foundation of food service business. The summarized results are as follows: 1. In the aspect of carrying out process of practical project, establishing the promotion strategy, the facility project program, the menu program, the facility and furniture program, organization & manning schedule, the business operation schedule, review of all laws & provisions and the allout promotion schedule in order were deployed. 2. Analysis of investing economy for review of profitability 1) In case of investment, excluding 600million for the real setate lease among the total investment of 1billion, it was required by 161, 235, 000 for interior project, 161, 110, 000 for facility & equipment, 19, 235, 000 for fittings, 27, 600, 000 for menu plate & uniform, 27, 600, 000 for furniture, 13, 800, 000 for sign article. 2) In case of loss & profit presumed the annual turnover is to be 1, 115, 856, 000 the contigent profit(before tax) is to be 148, 966, 000 which is 13.3% in comparson to the sales amount and the net profit(after tax) for this term s to be 104, 276, 000 which is 9.3% against the sales and the profitable ratio to the equity investment( 500 million) is 20.9% and it satisfies 20% of the premises of study. 3) In case of the payback period will be approximately two(2) years which indicated within three(3) years that is standard of new project evaluation term of ordinary enterprise. 4) In case of internal rate of return it will be 21.5% which is favorable profitability as taking into account of 15% that is standard of new project evaluation by ordinary enterprise based on general downtown money interest. That the investing value of Happy Day profitability is hinted as it is sufficient enough as the case under this study based upon such results and considered that securing supremacy is competitive power in case of commitment will be possible.

• The Journal of Fisheries Business Administration
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• v.43 no.3
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• pp.75-87
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• 2012

Today, the Korean fisheries is undergoing significant hardships, both domestically and internationally. While declining amount of catch, ascending international oil prices and others pose a compelling challenge to the fishing sector, the ever strengthening influence of international institutions related to fisheries and international trade organizations also compel to bring about myriad of changes in the realm of fishery products. Against the backdrop, this study attempted to examine the fisheries catch, aquaculture, service, processing fields in terms of its rippling effect and of how the industry has been changed by analyzing the past and present through an input-output analysis. As for research methods, 168 items of the input-output tables in 2000, 2005, 2009, and 2010 were integrated to form and classify 32 sectors (28 basic sectors + catch, aquaculture, fishery service, processed fishery products) so as to generate production inducement coefficient, sensitivity coefficient, and impact coefficient. The analysis results revealed that : though the linkage effect of fishery industry was not very sizable, the impact coefficient of the processed fishery products was high; the consumption and investment coefficient sector among production inducement coefficient was on an upturn trend ; the export coefficient was tended to decline. In the future research, it is necessary to carry out a study based on the integration of detailed classification (404 sector) and a study and analysis of fishery industry by different regions through the inter-regional input-output tables. The fishery industry is one of the crucial industries in Korea. The fishery industry is not only important in its own right but also significant as it exerts influence over other industries. Therefore, it is required that there should be more investment and supports for the development of the fishery industry, and pay efforts to ensure that the investment and development could lead to mutual growth for both the fishery and other various industries.

• Proceedings of the KSR Conference
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• 2001.10a
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• pp.429-434
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• 2001

Rail crossings pose special safety concerns for modern railroad operation with faster trains. More than ninety percent of train operation-related accidents occurs on at-grade crossings. Surest countermeasure for this safety hazard is to eliminate at-grade crossings by constructing over/under pass or by closing them. These eliminations usually require substantial amount of investment and/or heavy public protest from those affected by them. Thorough and objective analysis are usually required, and valid accident prediction models are essential to the process. This paper developed an accident prediction model for Korean at-grade crossings. The model utilized many important factors such as guide personnel, highway traffic, train frequency, train sight distance, and number of tracks. Developed model was validated with actual accident data.

• Food Science and Industry
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• v.53 no.2
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• pp.166-182
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• 2020

Kimchi industry in Korea has grown rapidly with the increasing domestic and overseas demand of Kimchi. Currently, there is an increase trend of consuming the commercial Kimchi products, although the Kimchi consumption/adult/year is decreasing (36.6 kg in 2018). The amount of commercial Kimchi consumption in 2018 was 757,000 M/T (metric ton), out of 1,892,000 M/T of the estimated total consumption, and the size of Kimchi market was estimated to be 1,398 billion wons. In 2019, 29,628 M/T of Kimchi was exported to 78 countries, and 306,047 M/T was imported, mainly from China. In the future, for the technological upgrading of Kimchi plants, a large capital investment to the production of commercial Kimchi will be required. The accelerated glocalization of Kimchi will bring a steady increase in Kimchi export. Moreover, with the development of global Kimchi culture, the values and images of Korean national brand can be greatly improved.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.124-131
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• 2011

Public infrastructure is crucial to promote and sustain a sustainable economic growth and a health community. A large amount of capital investment is generally required in infrastructure projects that motivate the involvement of the private sector in the delivery process. Various relationship-based procurement methods have been attempted to maximize value-for-money. In this paper, the problems and challenges that relationship-based procurement methods have been facing are explored. A particular focus is placed on the challenges for the public-private partnership (PPP) model. Possible strategies for adapting the PPP models in the post-Global Financial Crisis era are proposed and discussed. In addition, the challenges facing alliancing, which is one of the other important relationship-based procurement methods, are also examined. Views on infrastructure procurement in the future were sought from industry professionals via interviews and are reported in this paper as well.