• Journal of Digital Convergence
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• v.15 no.11
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• pp.245-250
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• 2017

Flash floods is defined as the flooding of intense rainfall over a relatively small area that flows through river and valley rapidly in short time with no advance warning. So that it can cause damage property and casuality. This study is to establish the flash-flood warning system using 38 accident data, reported from the National Disaster Information Center and Land Surface Model(TOPLATS) between 2009 and 2012. Three variables were used in the Land Surface Model: precipitation, soil moisture, and surface runoff. The three variables of 6 hours preceding flash flood were reduced to 3 factors through factor analysis. Decision tree, random forest, Naive Bayes, Support Vector Machine, and logistic regression model are considered as big data methods. The prediction performance was evaluated by comparison of Accuracy, Kappa, TP Rate, FP Rate and F-Measure. The best method was suggested based on reproducibility evaluation at the each points of flash flood occurrence and predicted count versus actual count using 4 years data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.397-407
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• 2015

The purpose of this study was to evaluate the effect on knowledge, attitude and volition of DNR after implementing the educational program of withdrawing life sustaining treatment to elderly people. The subjects for this study were healthy elders over 65 year-old at J elderly center located at S city, Korea. Data were gathered from October 2 to November 9, 2012. Participants were randomly assigned to either experimental or control group. For the experimental group, a 50 minute educational program on withdrawing life-sustaining treatment program was delivered twice a week for 3 weeks, and the control group did not receive any education. DNR knowledge (F=4.158;p=.049), DNR attitude (F=39.60; p=.001) were higher in experimental group compare to control group. Changes in number of participants who were determined to choose DNR for themselves (p=.006), for spouse (p=.039) and for parents (p=.006) were significantly higher in experimental group compared to control group. The program was effective in changing participant's knowledge, attitude and volition toward DNR and this program can be utilized to guide the decision making process of DNR for elderly.

• Journal of Korean Society of Transportation
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• v.34 no.5
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• pp.421-436
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• 2016

Public-Private-Partnerships tend to be committed high project development cost and recover the cost through future revenue during the operation period. In general, long-term concession can bring on more revenue to private investors, but short-term concession less revenue due to the short recovering opportunities. The concession period is usually determined by government in advance or by the private sectors's proposal although it is a very crucial factor for the PPPs. Accurate traffic forecasting should be most important in planing and evaluating the operation period in that the forecasted traffic determines the project revenue with user fees in PPPs. In this regards, governments and the private investors are required to consider the traffic forecast risk when determining concession period. This study proposed a model for the optimal concession period in the PPPs transportation projects. Monte Carlo simulation was performed to find out the optimal concession period while traffic forecast uncertainty is considered as a project risk under the expected return of the private sector. The simulation results showed that the optimal concession periods are 17 years and 21 years at 5.5% and 7% discount level, respectively. This study result can be applied for the private investors and/or any other concerned decision makers for PPPs projects to set up a more resonable concession period.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.1
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• pp.180-196
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• 2016

To minimize the damage from disasters, various aspects of prevention, preparation, and response, etc. are being managed. Even though prevention and preparation are well conducted, irresistible calamities such as natural disasters may cause unexpected damage. Therefore, a system that can share the identical disaster information based on prompt disaster management and prediction must be developed and constructed for integrated disaster management. Especially, for a prompt disaster response, the same information needs to be shared between the related organization and the disaster prevention personnel such as on-site officials. Recent disaster management systems use high-capacity geographic information or other various factors for accurate disaster predictions. In case of using a recently constructed or researched 3D GIS, the system may not be used in some cases due to conflicts with hardware, etc. Thus, even though response information is secured using prediction simulation in advance, it is essentially difficult in some cases to share the common information when the system cannot be utilized or the extension of the corresponding data cannot be read. Therefore, this study aims to construct a system for dealing with disasters that shares the same prompt and accurate information in compliance with common data formats. The system is expected to reduce the existing disaster response time and minimize human and physical damage by assisting decision making through prompt responses.

• International Commerce and Information Review
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• v.13 no.2
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• pp.51-73
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• 2011

Because of the slowdown in economic growth of developed countries, emerging countries are appearing as the new global market. Each country is paying attention to the BOP market of emerging countries to substitute for the markets of import demand of advanced countries due to the global financial crisis. Europe and Japanese corporations are set on taking over the BOP markets, highly appreciating the potential of BOP market. Now it is high time that Korea should recognize the possibility of BOP market and analyze emerging countries and set up strategic planning to react to them. China and India have the highest latent ability as emerging countries in Asia. Korea is well positioned within the market thanks to the conclusion of CEPA with India. Therefore, the government and leading conglomerates need to establish an effective model with which to advance their existing market entry strategy to approach the BOP market of India in the mid to long term. That is, they have to set up a TMB model which fits India such as marketing competence, an on-site adaptability, quick decision making, and constructing a close and customized strategy for all the social stratum of India's population. Establishing a TMB model in India will be the bridgehead to advancing the BOP market to neighboring countries which will allow us to extend our reach to other countries in South Asia and the world BOP market hereafter.

• Journal of Technologic Dentistry
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• v.29 no.2
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• pp.17-34
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• 2007

This study was conducted to research into the recognition level of employment and overseas employment on 173 students majoring in dental technology at two colleges in Daegu metropolitan city and Jeju self-governing island through questionnaires which are recorded individually. The results are as follows. 1. About 31.8% students chose dental technician department taking their aptitude into consideration when they entered college. 52% students gained information about dental technology through internet, and 57.3% students among them, which was the highest level, were under age 20. 2. 48.6% students responded that they thought the level of satisfaction with major was average and there was a difference according to their ages among the level of satisfaction or dissatisfaction with their major and the previous knowledge of major they had gained before entering college. 75.1% students said they wouldn't transfer to other major even if they were given the chance, which was much higher than the opposite case. And only 2.3% students had dissatisfaction at their major, which means students majoring dental technology evaluate their major positively. 3. Most students(58.4%) wanted to get a job for living cost and 53.2% students took advice from their seniors or elderly people in choosing their jobs. 64.7% students answered they should have professional skills to get a good job, which was different according to their ages. In addition, 51.4% students of dental technology department regarded the opportunities to exert their abilities as the most important element in choosing their jobs. That means students value self-decision and selfrealization when they choose their jobs. 4. The majority of students(32.9%) preferred to work at the dental laboratory in dental college hospital as their workplace. Moreover, seniors over age 21 wanted to work in the field of porcelain and juniors under age 20 preferred to work in the implant part concerning the field which students wants to work. 5. About 91.3% students have ever heard about overseas employment and wanted to work abroad if given the opportunities(77.5%). This points out students have much interest in overseas employment and positive attitude. And there was a difference according to age and grade in case of the preferred country when they work abroad 6. The main barrier to overseas employment was a lack of communication ability(63.0%), therefore, students thought foreign language education should be activated to improve overseas employment(26.0%). To show this more specifically, juniors thought foreign language education and internship are most important factors(both are 21.4% alike), while seniors thought foreign language education is essential(24.6%) as a way to improve overseas employment. Students also thought that participation in language study club helps to prepare for overseas employment(69.4%). When putting all these survey results together, it's very important to develop people in advance who have job ability and language ability necessary for overseas employment as well as to improve job awareness in the field of dental technology. Consequently, it's needed to seek for various ways to get a overseas job through foreign language education and overseas internship.

• Journal of Korea Water Resources Association
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• v.40 no.12
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• pp.995-1005
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• 2007

This study presents a framework for optimum scale determination for small hydropower development in a river basin. The framework includes the construction of hydrology and topography data, the simulation of hydropower operation, the economic analysis, and the determination of optimum scale of the small hydropower. The optimum scale of design flow and facility are determined by Net Present Value among economic analysis indices. The investment cost is estimated by the cost function derived from the construction cost of existing small hydropower plants. The benefit from power generation is estimated by the price announced by government. The presented framework is applied to the two potential sites in Cho River basin for the dam and run-of-river type of plants. Finally, the sensitivity analysis for a design flow and scale of the plant is performed for the each site. The usage of the framework presented in the study is highly expected for the estimation of potential hydropower resources or the decision support tool for a proprietor by estimating the optimum scale and economical feasibility in advance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7061-7070
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• 2015

Multi-Response Surface Optimization aims at finding the optimal setting of input variables considering multiple responses simultaneously. The Weighted Mean Squared Error (WMSE) minimization approach, which imposes a different weight on the two components of mean squared error, squared bias and variance, first obtains WMSE for each response and then minimizes all the WMSEs at once. Most of the methods proposed for the WMSE minimization approach to date are classified into the prior preference articulation approach, which requires that a decision maker (DM) provides his/her preference information a priori. However, it is quite difficult for the DM to provide such information in advance, because he/she cannot experience the relationships or conflicts among the responses. To overcome this limitation, this paper proposes a posterior preference articulation method to the WMSE minimization approach. The proposed method first generates all (or most) of the nondominated solutions without the DM's preference information. Then, the DM selects the best one from the set of nondominated solutions a posteriori. Its advantage is that it provides an opportunity for the DM to understand the tradeoffs in the entire set of nondominated solutions and effectively obtains the most preferred solution suitable for his/her preference structure.

• Journal of Distribution Science
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• v.11 no.10
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• pp.27-36
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• 2013

Purpose - This paper empirically studies the effects of advanced design innovation strategy on business performance, to investigate manufacturing industries that can develop design-driven-innovation strategies. Many researchers now recognize the importance of design in a CEO's decision-making process. To analyze these effects, this study deduces the definition of advanced design strategy by reviewing existing studies. The advanced design is a strategy that is applied to improve business performance instead of the appearance of a product for increasing its sales. In terms of business processes, the advanced design strategy is defined as the incorporation of business activities prior to the development of the product, to offer new experiences and values to users, from those designs. Research design/data/methodology - This paper establishes a model for empirical analysis. In this study, we derived factors of the characteristics of advanced design based on previous studies. We tried to investigate whether advanced design innovation strategy and entrepreneur's characteristics could have any impact on business performance. At the same time, we tried to find out the moderating effect of entrepreneurs' characteristics. The advanced design is made up of three elements: precedence, integration, and immersion of design activities. These three elements are independent variables for the model. The dependent variables are: increased rate of sales, R & D performance, and public image of the company. Specifically, this study establishes a CEO's characteristics as a moderating variable between the independent and dependent variables. Results - We proved that the level of entrepreneurs' characteristics has a moderating effect on the business performance. The findings of this study offer the following theoretical implications. The precedence of design activities positively affects the increased rate of sales by offering new experiences to users and creating new values. The integration of design activities also has a positive effect on the R&D performance. In addition, the immersion of design activities positively influences all the elements comprising business performance. The analysis of moderating variables elucidates that CEO's characteristics have a moderating role between precedence, integration, and immersion of design activities, and business performance. Conclusions - The practical implications of the study are as follows. This study contributes to the progression of advance design theories by conducting an empirical study on the advanced design concept. More importantly, the empirical study on the CEO group seeking exploratory innovation supports Verganti's "design-driven innovation" concept, according to which design can make innovation successful by offering useful values to users, as evident in the case of many innovative companies, such as Nintendo and Apple. Future studies need to investigate the reliability of practical examples, including the various activities of business. We suppose that there may be real differences between the results of this study and the applicative situation in the presence of a CEO group.

• Journal of Korean Society of Disaster and Security
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• v.13 no.2
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• pp.39-51
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• 2020

Recently, flood damage has been increasing in Korea due to frequent local torrential rains caused by abnormal weather conditions. According to the calculation of the recurrence period of torrential rain that occurred in North Chungcheong Province on July 16, 2017, it was estimated that the rainfall frequency in the upper are of Goessan Dam was around 1,524 years, and the highest level of Goesan Dam rose to EL.137.60 meters, leaving only 5 cm of margin until the height of the dam floor (EL.137.65 meters). The Goesan Dam, which operated for 62 years since 1957, needs to be prepared to cope with the increase of floodgate volume in the basin, the development of a single purpose dam for power generation only, and there are no measurement facilities for flood control, so efficient operation methods are needed to secure the safety of residents in upper and lower regions. In this study, a method of dam operation was proposed by constructing a rain matrix for quick decision making in flood prediction, calculating the highest level of dam for each condition in advance, and preparing a survey table, and quickly finding the level corresponding to the conditions in case of a situation.