• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.10-17
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• 2018

Most of the privacy officers of organizations are hard to think of the corrective action about deficiencies of the PIMS(Personal Information Management Systems) certification. Because, it is difficult to define the priority of the complementary measures due to the unique characteristics and procedures of personal information protection for each organization. The purpose of this study is to evaluate the priority of the complementary measures using the Analytic Hierarchy Process(AHP). According to the results, it is important to comply with the legal requirements in the first tier. The second tier, PIMS experts answered that dedicated organization, password management, and agreement of the subject are important. Above all, agreement of the subject was found the highest priority for complementary measures about PIMS's deficiencies.

• Journal of the Korean Society for Marine Environment & Energy
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• v.13 no.2
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• pp.75-82
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• 2010

The economical efficiency and easy ship building have enabled to spread FRP ships in the shipbuilding field. As waste FRP ships have been thrown away at a river or within a harbour, this matter has become issues. For the improvement of this matter, the melting technique and system of waste FRP ships was developed. But, Decision making was required for a location plan of the melting system of waste FRP ships. It's recognized that the location decision of this system is difficult due to the dependence on technical, economical, environmental factors. In this paper, we survey the primary factors of location-economic, life-environment, infrastructure and make up a question for the experts. We also calculate the important weight and related weight using Fuzzy AHP, Limiting probability method and discuss on the calculation results on the proposed sites.

• Journal of The Korean Society of Agricultural Engineers
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• v.49 no.3
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• pp.79-88
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• 2007

This paper suggests a hierarchial method to select the target sites for the nonpoint source pollution management considering factors which reflect the interrelationships of significant outflow characteristics of nonpoint source pollution at given sites. The factors consist of land slope, delivery distance to the outlet, effective rainfall, impervious area ratio and soil loss. The weight of each factor was calculated by an analytic hierarchy process(AHP) algorithm and the resulting influencing index was defined from the sum of the product of each factor and its computed weight value. The higher index reflect the proposed target sites for nonpoint source pollution management. The proposed method was applied to the Baran HP#6 watershed, located southwest from Suwon city. The Agricultural Nonpoint Pollution Source(AGNPS) model was also applied to identify sites contributing significantly to the nonpoint source pollution loads from the watershed. The spatial correlation between the two results for sites was analyzed using Moran's I values. The I values were $0.38{\sim}0.45$ for total nitrogen(T-N), and $0.15{\sim}0.22$ for total phosphorus(T-P), respectively. The results showed that two independent estimates for sites within the test water-shed were highly correlated, and that the proposed hierarchial method may be applied to select the target sites for nonpoint source pollution management.

• KIISE Transactions on Computing Practices
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• v.23 no.6
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• pp.343-349
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• 2017

Combat modeling and simulation (M&S) of large-scale computer generated forces (CGFs) enables the development of even the most sophisticated strategy of combat warfare and the efficient facilitation of a comprehensive simulation of the upcoming battle. The DEVS-POMDP framework is proposed where the DEVS framework describing the explicit behavior rules in military doctrines, and POMDP model describing the autonomous behavior of the CGFs are hierarchically combined to capture the complexity of realistic world combat modeling and simulation. However, it has previously been well documented that computing the optimal policy of a POMDP model is computationally demanding. In this paper, we show that not only can the performance of CGFs be improved by an efficient POMDP tree search algorithm but CGFs are also able to conveniently learn the behavior model of the enemy through case studies in the scenario of counterfire warfare and the scenario of a mechanized infantry brigade's offensive operations.

• Korean Journal of Construction Engineering and Management
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• v.13 no.2
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• pp.70-79
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• 2012

The Korean Government recently has been focused on strengthening competitiveness of order and stimulating construction market in the international construction industry. It has planned to extend the ODPs (overseas development projects) in order to diversifying the international construction market of which is domestic construction companies, placing too much emphasis on plant projects of the Middle East. However, literature review of risk analysis in the ODPs shows that the number of case study is several. Therefore, Authors asserted the necessity of risk analysis in the ODPs. The purpose of this study is to suggest a methodology that find KRFs (key risk factors) in the ODPs and analyze them, using AHP and Fuzzy theory. As a result, the 37 KRFs are selected and explained characteristics of them. A future direction of this study is to suggest a risk management model in the ODPs and prove feasibility of it.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.2
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• pp.77-90
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• 2012

As the influence of service industry into domestic economy is increasing, it also has been influenced more powerfully at the domestic GDP(Gross Domestic Product) relative importance and employment relative importance continuously. By means of these reason, the Korean government announced the synthetic countermeasure for strengthening the competitive power of service industry in December, 2006. After then, it announced phase I of 'service industry advancing plan' which is concrete execution plan in April, 2008. Also, it is announced to announce phase II plans in september, 2008 and phase III plan in December, 2008 additionally. Service quality is the most powerful competitive means at service marketing and a key point for improving service productivity. The improvement of service quality has considerable influence on survival and profitability of service industry. Therefore, the study of objective service quality measurement in service industry is very important issue. The purpose of this study is to suggest a measurement model of service quality using fuzzy theory and AHP which measuring service quality objectively in subjective environment. It is expected that this study will help the improvement of competition power of service industry as well as establishment of effective decision-making.

• Journal of Korea Port Economic Association
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• v.31 no.1
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• pp.127-145
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• 2015

Plant location selection is a decision which requires huge investment and entails a significant impact in a longer-term. The petrochemical industry, in particular, is so capital- and technology-intensive that the firms in the industry pursue enhancing competitiveness through collaboration and integration among entities in their supply chains. Even though the logistics factor such as logistics costs and connectivity have, as a result, gained its importance in plant location decision making, this has rarely studies in empirical studies. Therefore, this study aims to examine the relative importance of the logistics factor in plant location decision making in the petrochemical industry using the multi-criteria decision-making approach. In addition the three representative petrochemical industrial complexes are evaluated by the factors used in this study. This study is able to provide the useful implication in both practical and policy-making aspects. Firms are required to consider the logistics factors with priority compared to other factors in plant location decision making. In addition, when federal or local governments build industrial sites and attract the petrochemical firm, logistics infrastructure should also be considered to provide better transportation connectivity and lower logistics costs in turn.

• Journal of the Korea Institute of Building Construction
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• v.20 no.2
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• pp.183-190
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• 2020

Currently, the multi-unit houses are the largest in the ratio of housing types, and the number of households in multi-unit houses is steadily increasing. As the multi-family housing project continues, the accuracy of estimates for decision-making and feasibility assessment are required in the early stages of the project. Therefore, this study selected the influential factors affecting the estimated estimate and showed the relative importance of each factor through weight analysis and suggested the method of calculating the estimated estimate to improve the accuracy. The calculation plan presented through this study will be used as a useful data for project feasibility review and is expected to make a great contribution in preventing the economic loss of the client.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.674-679
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• 2006

The public research and development (R&D) funds for construction engineering is one of the key elements for the advancement of construction industry. Korean Ministry of Construction and Transportation is currently planning to produce approximately US$ 500 millions of research funds every year in Korea from year 2007. Along with the prospect for increasing R&D investment, there is of increasing pressures on the development of quantitative methodologies for assessing the performance of construction R&D results. Although there have been some general R&D project evaluation methods, they are not readily used for construction R&D research assessment due to the distinct characteristics of construction R&D. This paper presents a simple methodology that can make quantitative assessments of construction R&D performances. The proposed methodology is expected to assist government officials in objectively evaluating construction R&D performances and identifying the areas that require more R&D investment.

• The Journal of the Korea Contents Association
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• v.7 no.6
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• pp.185-194
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• 2007

Today, there is in the world-wide cognition about RFID technology due to established standard, EPC(Electronic Product Code). RFID technology will have wide influence over various fields. Especially, RFID technology's advantages will have positive influence on logistics field. We can solve limited various problems presented in SCM by applying RFIB technology. We can have higher cantrol system, better benefits and actual decision information. Many organizations, however, still have hesitated now because RFID technology has not been validated and RFID technology is in early stage. Other problems are employee resistance against new technology and lack of academic empirical research on assimilation RFID technology for organization. Above reasons I mentioned make me study on analysis on assimilation RFID technology decision in SCM field. This study attempts to analyze the assimilation RFID technology factor from previous researches by using AHP. This outcomes of study will be helpful when we assimilate RFID technology in SCM fields.