• Spatial Information Research
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• v.2 no.2
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• pp.135-145
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• 1994

The primary purpose of this study is, using Landsat remote sensing data and a image processing software, ERDAS, to generate real data and image photographs on physical land use of the Seoul metropolitan region. The remote sensing data used in this study are Landsat MSS data (August 28, 1979) and TM data (May 31, 1991) which cover the Seoul metropolitan region of Korea. The spatial resolutions of MSS data and TM data are 57m X 79m and 30m X 30m respectively. In addition, this study aims at contrasting urbanization phases of the Seoul metropolitan region in 1979 with those in 1991, by making image photographs and statistics on physical land use. Summing up the major results, built-up area ratio within the Seoul city had been expanded from 41.9% in 1979 to 64.5% in 1991 and that within the radius of 40km of Seoul city hall had been expanded from 10.5% In 1979 to 19.8% in 1991. The data and technique developed in this study could serve as a useful tool in making various kinds of spatial plannings, that is, urban and regional planning, selection of optimal new town location, evaluation of public facilities location alternatives, etc..

• Journal of Environmental Policy
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• v.9 no.4
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• pp.77-102
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• 2010

The purpose of this paper is to analyze the Japanese emission trading system and climate change policy thereby contributing to the instituting of similar systems that will be viable for the Korean context. In applying such analyses, it is important to include a careful consideration of cost sharing between stakeholders and firms, an enhancement of the trust worthiness of data concerning greenhouse gases, and an examination of related infrastructure such as emissions authentication agencies and their development. Moreover, it is important to minimize the outflow of domestic resources such as offset credit, green electricity certification system, and ecopoint, making compatible economic growth and carbon reduction thereby encouraging the production and dissemination of 'Environmental Value' as well as connecting 'Environmental Value' to a emission trading system.

• Journal of Environmental Policy
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• v.6 no.4
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• pp.103-127
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• 2007

This study presents the political economics models to explore the political landscape of special interest groups influencing the government's decision making process for implementing international environmental standard. Starting with the popular menu-auction types of lobbying frameworks in the literature, the study extends its scope of research to multi-principal and multi-agency based international interest group politics and its hybrid case in order to bring the interaction of the relevant interest politics to the fore. Within a specific factor model of international trade between 2 small open economies, we compare the political equilibrium environmental standards in different institutional frameworks which can be feasible in the sense of recently growing role of environmental interest group. Although the conventional finding suggests that cooperative bargaining between the two countries can attain the globally optimal level of the standard, the paper rather explains that the cooperation between the national interest groups and the hybrid case also generate the stricter standard then national interest politics usually do.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.36 no.10
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• pp.1109-1114
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• 2012

The performance of a system can be affected by various variables such as manufacturing tolerances, uncertainties of material properties, and environmental factors acting on the system. Robust design optimization has attracted much attention in the design of products because it can find the best design solution that minimizes the variance of the response while considering the distribution of the variables. However, the computational cost and accuracy of optimization have thus far been a challenging problem. In this study, robust design optimization using the multiplicative decomposition method is proposed in order to solve these problems. Because the proposed method calculates the mean and variance of the system directly from the kriging metamodel using the multiplicative decomposition method, it can be used to search for a robust optimum design accurately and efficiently. Several mathematical and engineering examples are used to demonstrate the feasibility of the proposed method.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.7
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• pp.813-820
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• 2010

The vertical roller mill is important for machine grinding and mixing various crude materials in the process of producing Portland cement. A vertical roller mill is subjected to cyclic bending stress because of the roller load. Because of the cyclic bending stress, only $4{\times}10^6-8{\times}10^6$ cycles are achieved instead of $4{\times}10^7$ cycles. The stress also causes fractures at the edge of grinding path of the outer roller. The expenses incurred in repairing the grinding path amounts to 30% of the total maintenance cost. Therefore, it is desirable to redesign the vertical roller mill in order to reduce the expenses incurred in repairing the roller. In this study, artificial neural networks (ANNs) were applied in order to solve the multiobjective optimization problem for vertical roller mills by using the function approximation ability of ANNs. To learn and generalize ANNs, the maximum and minimum stresses were estimated from the results of the finite-element analysis of a vertical roller mill. Thus, ANNs could be applied to solve the multiobjective optimization problem.

• Journal of IKEEE
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• v.17 no.3
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• pp.294-300
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• 2013

All countries make an effort to ensure the safety of agricultural products in the food distribution phase. Recently, as the market size of farm produces sales has increased through on-line shopping malls, there are various researches to offer traceable information about farm produces to customers conveniently and correctly. This paper designs and implements an integrated self-advertisement system for farm produces. By offering producer's information and traceable information about farm produces directly through the suggested system, a producer can assure the safeness of the informations and a customer can have trust in the agricultural produces. Especially, because the suggested system does not need a heavy cost or a complicated registration process for producers, it can be used as convenient and safe advertisement means and help small-scale producers a lot in increasing sales profit.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.2
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• pp.72-85
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• 2007

The development of memory design and process technology enabled the production of high density memory. However, this increased the complexity of the memory making memory testing more complicated, and as a result, it brought about an increase in memory testing costs. Effective memory test algorithm must detect various types of defects within a short testing time, and especially in the case of port memory test algorithm, it must be able to detect single port memory defects, and all the defects in the dual port memory. The March A2PF algorithm proposed in this paper is an effective test algorithm that detects all types of defects relating to the duel port and single port memory through the short 18N test pattern.

• Journal of the Korea Society of Computer and Information
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• v.16 no.2
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• pp.279-288
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• 2011

The purpose of this research is to develop a standardization model for available stock management process among the entire Enterprise Resource Planning System modules of Automobile Parts Manufacturing Industry. The standardization model system is constructed through the phased method based on the development methodology of information establishment suggested by the Small and Medium Business Administration and Korea Technology and Information Promotion Agency for Small & Medium Enterprises. The standardization model is to develop the process modules of ordering management, storing management, delivering management, and stock management for available stock management process. The study will help the manufacturing business and related IT business which want to construct available stock management process under the ERP system to establish the system more effectively by applying the standardization model and also will provide them with construction availability and reliability. By application of this study results, the businesses will not only prevent the excessive possession of raw materials and products and reserve adequate and steady stock but also will check real-time stock, observe customer due date, decrease over-production and reduce stock cost.

• 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.

• Korean journal of applied entomology
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• v.19 no.2 s.43
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• pp.91-95
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• 1980

The experiment was conducted to culture callus tissue induced from foliage leaf of garlic bulb for the production of virus-free stocks and for the reduction of expenses for seeds, The following results were reached. 1. Linsmaier-Skoog basal medium containing 2,4-dichlorophenoxyacetic acid (2,4-D) $10^{-5}M$ and benzyladenine $10^{-5}M$ showed the most effective for the induction for the induction of garlic callus. 2. The growth rate of callus was the highest in Linsmaier-Skoog basal medium containing kinetin $10^{-6}M\;and\;2,4-D\;10^{-6}M$ 3. The results of periodical assay of virus concentration in callus tissues showed that virus was almost eliminated by repeated transfer of translucent and soft tissue for eight generations. 4. When virus-free garlic callus tissues were transfered to Murashige-Skoog basal medium containing kinetin $10^{-5}M$ and naphthaleneacetic acid $5\times10^{-6}M$, the tissues were redifferentiated and formed plantlet.