• 사회경제평론
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• v.31 no.3
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• pp.29-53
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• 2018

This study provides a model of inter-Korean economic cooperation suggesting that economic cooperation should be centered on industrial cooperation. As an independent economic zone, the two Koreas will go through a gradual and functional process of cooperation. Also, economic convergence through 'openness and integration' of both markets is a pre-requisite of successful economic integration on the Korean peninsula. This success of the process requires industrialization of North Korea. This study suggests a model of 'the Corea Industrial Development Community on the Korean Peninsula. It aims to support industrialization of the North Korean economy as well as promotion of South Korea's SME competitiveness. It would help meet the demand for improvement of living conditions of North Korean people. Main policy measures includes: 1) co-effort to develop North Korea's provincial industrial zones, 2) upgrading North Korea's 'Jangmadang' into a highly efficient distribution market. Finally, through the construction of the Joint Industrial Development Zone, it is necessary to create a production sharing module for both Korea's industries.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.18 no.1
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• pp.117-146
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• 2007

This study analyzes the performance of school library rehabilitation project for the past four years. The project was launched in 2002 as a 5-year project from 2003 to 2007. Based on the analysis, the author suggests some considerations for the second phase of the project. First, librarians are the focal point to manage the library newly built and remodeled at a massive budget of 300 billion Korean won. Second, when developing curriculum employing school libraries, the curriculum should be differentiated by grade. class, textbook and even chapter. Third. the project should demonstrate the positive influence of school libraries on students' academic achievement so that the parents and community leaders voluntarily promote school libraries. Forth, the project should examine diverse users to successfully meet their demand. Fifth, the project should incorporate capacity building in librarian training course. It is also crucial that librarians themselves make visible effort to achieve an expert status before students and fellow teachers.

• Journal of the Earthquake Engineering Society of Korea
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• v.11 no.5
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• pp.11-21
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• 2007

Currently in the country, the necessity of seismic analyses is increasing due to the increase of demand and interest in seismic design. Especially, shear wall apartments are constructed mostly for a residental building so seismic analyses for the apartment are actively executed. For the seismic analysis of the shear wall apartment, it may be not efficient in time and effort to model the entire structure by a finite element mesh. Therefore, an equivalent model is needed to simulate the dynamic behavior of the structure by decreasing the number of degrees of freedom. In this study, a method to form an equivalent model that is simple and easy to use was proposed utilizing effective mass coefficient that is highly correlated to mode shape of the structure. This equivalent model was obtained by replacing a shear wall structure with an equivalent frame structure having beams and columns. This model can be used very effectively when excessive seismic analyses are necessary in a short period because it can be operated in any commercial program and reduce the analysis time. Also, it can model floor slabs so it can represent the actual behavior of shear wall apartments. Furthermore, it is very excellent since it can represent the asymmetry of the structure.

• Review of Culture and Economy
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• v.21 no.1
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• pp.85-104
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• 2018

The studies related to the price of artworks have focused on how factors that are determined on production level, such as artists and the artwork materials of the studies, affect the artwork prices. As 'Dansekhwa' is in the spotlight within local Korean art auction matket, this study would like to analyze the trend of the price changes of 'Dansekhwa' with its growing popularity among the public. We have estimated the price changes based on 4,199 auction data of 20 artists with top 20 auction prices selected by the Korean Art Price Appraisal Association, between 2005 and 2016. Also, in order to compare and analyze the price changes of the 'Dansekhwa' products, we have classified the 20 artists into groups of Dansekhwa and non-Dansekhwa. Starting from 2013, when Dansekhwa has first appeared, we applied the Difference in the Difference model(DiD) to estimate the result. As a result, the difference between two groups showed 71% of price difference due to the increase in popularity of Dansekhwa. This result proves that recognition level has an important role for increase in price of an artwork. Moreover, the fact that the formalized style of Dansekhwa has linked to the appreciation of the price means that production of information could play an essential role in growth of art market. As recognition level of Korean artists and their artworks is considerably low within the local art market, putting in the effort to increase the popularity of artworks among the public might be a helpful way to magnify the potential demand.

• Environmental and Resource Economics Review
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• v.14 no.2
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• pp.257-290
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• 2005

Korean energy use in industrial sector has increased more rapidly than other sectors during 1980~2000 periods. Relatively higher increases in industrial sector energy consumption raise questions whether government policy of rationalization of industrial energy use has been effective. In this study, we use 80-85-90 and 90-95-00 constant price input-output table to analyze increases in industrial energy use. Using an adjusted version of structural decomposition model introduced by Chen and Rose (1990), we decompose Changes of energy use into 17 elements. We classify entire industry sector into 32 sectors including four energy sectors (coal and coal products, refined petroleum, electricity and town gas). We then analyze changes of energy use by industrial level to check differences among industrial energy demand structures. Finally, we compare three industries, electronic product manufacturing, metal manufacturing and construction, that represent technology and capital intensive, energy and material intensive and labor and capital intensive industry. As results, we find that high energy using industries make the most effort to reduce energy use. Primary metal, petrochemical and mon-metal industries show improvements in elements such as energy and material productivity, energy and material imports, energy substitution and material substitutions towards energy saving. These results imply that although those industries are heavy users of energy, they put the best effort to reduce energy use relative to other industries. We find various patterns of change in industrial energy use at industrial level. To reduce energy use, electronic product manufacturing industry needs more effort to improve technological change element while construction industry needs more effort to improve material input structure element.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• The Korean Journal of Air & Space Law and Policy
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• v.27 no.2
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• pp.167-192
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• 2012

Aviation industry is known as the knowledge-based one and as an advanced nations' exclusive property having a large capacity for creating job and added value. Considering the current status of the aviation industry as aforesaid, it is natural for all countries to turn their attention to such promising aviation industry. At the time of rapid growth in aviation market, the importance of securing managerial experts and technicians is being under the spotlight as the aviation profession is increasingly in demand. To meet such dire needs that have already become an ever-greater part of the industry, collaboration among governmental, educational and industrial parties has formed in preparation for putting us into so-called an era of globalization. Having recognized the significance of the program, carried forward by The Ministry of Land, Transport and Maritime Affairs, fostering human resources in civil aviation, the objective of this study lies on deloping indicators for the programofficially designed to produce men of expertise in international air transport, the market of which forms nowadays a large part of national economy, and the technology of which develops so quickly. In this paper, an effort is made to develop the appraisal indicators and to set up standards thereof in order for the program to be systematically and expertly assessed on the basis of Quinn and Rohrbaugh's the competing values model. Firstly, this paper designs appraisal indicators, taking into account the peculiarity and environment of air transport industry, for developing human resources in civil aviation by utilizing advanced research on educational assessment in general due to the absence of applicable preceding studies regarding the development of human resources in civil aviation. Secondly, investigations into the necessity and validity of the appraisal are committed by analyzing answers from 100 respondents to questionaires and oral surveys in order to verify appraisal indicators designed in accordance with the competing values model. Lastly, the paper analyzes in a demographical way discrepancy in the recognitions among institutions for which the respondents work, on the basis of the outcome of the survey. As a result, the discrepancy is found not significant, which indicate that the aviation experts favour the indicators as appraisal standards. Prospective studies on the same issue may need an in-depth analysis, empowered by sufficient sampling in balance, of correlation between independent variables, then hopefully serve as a momentum for advancement of study in civil aviation.

• Geophysics and Geophysical Exploration
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• v.8 no.1
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• pp.50-58
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• 2005

Recently, the imaging of geological structures beneath water-covered areas has been in great demand because of numerous tunnel and bridge construction projects on river or lake sites. An electrical resistivity survey can be effective in such a situation because it provides a subsurface image of faults or weak zones beneath the water layer. Even though conventional resistivity surveys in water-covered areas, in which electrodes are installed on the water bottom, do give high-resolution subsurface images, much time and effort is required to install electrodes. Therefore, an easier and more convenient method is sought to find the strike direction of the main zones of weakness, especially for reconnaissance surveys. In this paper, we investigate the applicability of the streamer resistivity survey method, which uses electrodes in a streamer cable towed by ship or boat, for delineating a fault zone. We do this through numerical experiments with models of water-covered areas. We demonstrate that the fault zone can be imaged, not only by installing electrodes on the water bottom, but also by using floating electrodes, when the depth of water is less than twice the electrode spacing. In addition, we compare the signal-to-noise ratio and resolving power of four kinds of electrode arrays that can be adapted to the streamer resistivity method. Following this numerical study, we carried out both conventional and streamer resistivity surveys for the planned tunnel construction site located at the Han River in Seoul, Korea. To obtain high-resolution resistivity images we used the conventional method, and installed electrodes on the water bottom along the planned route of the tunnel beneath the river. Applying a two-dimensional inversion scheme to the measured data, we found three distinctive low-resistivity anomalies, which we interpreted as associated with fault zones. To determine the strike direction of these three fault zones, we used the quick and convenient streamer resistivity.