• Journal of the Korean Society of Environmental Restoration Technology
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• v.8 no.3
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• pp.53-66
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• 2005

The objective of this study is the classification of priority areas for the implementation of green roof by evaluating environmental deterioration in Seoul. Non-permeable pavement, air pollution, habitual floods, energy use, heat island and green space are considered in this assessment indicators. The expert questionnaire survey was conducted in order to determine the most important indicators. These indicators were then, thoroughly evaluated. As a result, high priority areas for the implementation of green roof were deduced in the following order of the districts : Jung, Sungdong, Jungrang, Youngdungpo, Jongro and Kangnam. The highest priority areas were determined to be crowded business-commercial areas. Low priority areas are analyzed in the following order of the districts : Kwanak, Nowon, Seocho and Dobong. The result of this study can be utilized for environmental planning and decision of related policies. Additionally, it can be promoted that awareness of implementing green roof of citizens, policy makers and building owners and effect of green networking between inside and outside Seoul can be increased.

• International Journal of Quality Innovation
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• v.6 no.1
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• pp.58-73
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• 2005

The objective of this study is to evaluate the equipment risk before and after SEMI S2-93A implementation, thus providing a guideline for safety improvement. Semiconductor Plant A located in Taiwan's Hsinchu Science Based Industrial Park with 147 manufacturing machines was used for risk assessment. This study was carried out in three steps. First, a preliminary hazard analysis was conducted. A detailed process safety evaluation was conducted (Hazard and Operability Study, HAZOP); and finally, the equipment risk comparison before and after Semiconductor Equipment Manufacturing Instruction (SEMI S2-93A) implementation. The preliminary hazard analysis results showed high risk in 21.77% of the manufacturing machines under risk assessment at Plant A. The largest percentage existed in the Diffusion Department. The machine types specified by the hazardous work site review and inspection according to Article 26 of Labor Inspection Regulation (the machines that use such chemicals as, $SiH_4$, HF, HCL, etc. and that are determined to be highly hazardous through preliminary hazard analysis) were added to the detailed process analysis and evaluation. In the third part of this evaluation, the machines at Plant A used for detailed process safety assessment were divided into two groups based on the manufacturing data before and after 1993. The severity, possibility, and actual accident analysis before and after SEMI S2-93A implementation were compared. The Semiconductor Equipment Manufacturing Instruction (SEMI S2-93A) implementation can reduce the severity and possibility of hazard occurrence.

• Journal of Korean Society on Water Environment
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• v.32 no.5
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• pp.450-457
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• 2016

The Total Maximum Daily Load (TMDL) is a watershed management system that involves the establishment of the target water quality, the calculation of permission loading (allocation loading), and the control of total pollutants for each unit watershed. Allocation loading is assessed through the comprehensive implementation assessment of the previous year's plan. Assessment results are used for follow-up management measures such as the limit of development and updating of TMDL Management Implementation Plans for the next planning period. Although detailed assessment criteria are important, they are not currently available. Therefore, we suggested assessment criteria by comparing two methods('integration method' and 'separation method') using combination point and non-point discharge loading. We also examined the penalty criteria considering controllable load local government and updating methods of the TMDL Management Implementation Plan for the next planning period.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.30-31
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• 2015

PPPs in international development cooperation can be challenging due limited capacities in the country, weaknesses in terms of policy and legislative frameworks, differences in mindsets, values, work ethics and hierarchical structures as well as cultural issues. These can lead to misunderstandings and implementation problems. However, a careful assessment of the situation on the ground, stakeholder analysis and needs assessment can help to identify potential bottlenecks and address capacity constraints that could slowdown operations. A sound understanding of local power dynamics and work practices can help to put in place an exit strategy which will enhance the projects' sustainability. Making sure that goals and objectives are understood in the same way by all partners, establishing an ongoing and respectful dialogue between them, as well as transparent implementation and monitoring mechanisms can also contribute to the PPP's success and increase the likeliness to make a difference in the lives of those in needs.

• Journal of Information Technology Applications and Management
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• v.26 no.5
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• pp.13-25
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• 2019

Recently, as evaluation of information security (IS) management become more diverse and complicated, the contents and procedure of the evidence to prepare for actual assessment are rapidly increasing. As a result, the actual assessment is a burden for both evaluation agencies and institutions receiving assessments. However, most of them reflect the evaluation system used by foreign government agencies, standard organizations, and commercial companies. It is necessary to consider the evaluation system suitable for the domestic environment instead of reflecting the overseas evaluation system as it is. The purpose of this study is as follows. First, we will present the problems of the existing information security assessment system and the improvement direction of the information security assessment system through analysis of existing information security assessment system. Second, it analyzes the technical guidance for information security testing and assessment and the evaluation of information security management in the Special Publication 800-115 'Technical Guide to Information Security Testing and Assessment' of the National Institute of Standards and Technology (NIST). Third, we will build a framework to implement the evidence collection system and present a system implementation method for the '6. Information System Security' of 'information security management actual condition evaluation index'. The implications of the framework development through this study are as follows. It can be expected that the security status of the enterprises will be improved by constructing the evidence collection system that can collect the collected evidence from the existing situation assessment. In addition, it is possible to systematically assess the actual status of information security through the establishment of the evidence collection system and to improve the efficiency of the evaluation. Therefore, the management system for evaluating the actual situation can reduce the work burden and improve the efficiency of evaluation.

• Journal of Environmental Impact Assessment
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• v.2 no.2
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• pp.95-103
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• 1993

EIA has been introduced as a tool for environment protection into promulgation of the Environment Preservation Act in 1977, which replaced the Pollution Control Act in Korea. EIA system has been improved with the enlargement of project type, public participation, guideline improvement, and regulatory development. Recently, Environmental Impact Assessment(EIA) Act will have an important role for sustainable development. This article deals with regulatory development, implementation order, EIA project type, and EIS preparation guidelines by Act promulgated and amended, also it explains comparison analysis of Environmental Policy Act and Environment Impact Assessment Act Major results are summarized in the table.

• Journal of environmental and Sanitary engineering
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• v.8 no.1
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• pp.29-47
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• 1993

The purpose of this study is to improve institution of EIA(Environmenta1 Impact Assessment) in Korea. For this study, institution of EIA in Korea and other countries and copies of EIS prepared in Korea were analyzed. As a result, improvements of EIA should require introducing EIA in projects and planning level, building environmental information system, estimating appropriate costs of EIS preparation.

• Journal of KIISE:Software and Applications
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• v.31 no.11
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• pp.1439-1454
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• 2004

Recently, Levels of Information Systems Interoperability (LISI) that are used for assessing the information systems interoperability are defined according to the importance of interoperability among information systems. At that time, it is necessary to the construction of an assessment information repository to store and retrieve the interoperability assessment data efficiently. An LISI repository constructed for storing and retrieving an assessment information should support assessment systems that are developed in various Platforms and provide its functions by a standardized way. Business logics of LISI repository should be developed as distributed components, and we need to modify existing software design methods to show characteristics of LISI repository in addition to the standardized LISI data expression. Also a concrete method to recognize various implementation technologies and to apply them to implementation of LISI repository is needed. This paper provides a design method for developing an LISI repository that is considering the characteristics of LISI repository by three concerns, and an implementation scheme that can apply to the integration of the various repository implementation technologies systematically, as the LISI repository development framework for constructing the LISI repository. These help developers to construct the LISI repository effectively by providing concrete guidelines for considerations and appliable methods to construct the LISI repository.

• Journal of Environmental Health Sciences
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• v.45 no.1
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• pp.82-96
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• 2019

Objective: The aims of this study were to provide the basic data for establishing a precautionary management policy and to develop a methodology for selecting a radon management priority target area suitable for the Korean domestic environment. Methods: A suitable mapping method for the domestic environment was derived by conducting a quantitative comparison of predicted values and measured values that were calculated through implementation of two models such as IDW and RBF methods. And a qualitative comparison including the clarity of information transmission of the written radon map was carried out. Results: The predicted and measured values were obtained through the implementation of the spatial analysis models. The IDW method showed the lowest in the calculated mean square error and had a higher correlation coefficient than the other methods. As results of comparing the uncertainty using the jackknife concept and the concept of error distance for comparison of the differences according to the model interpolation method, the sum of the error distances showed a modest increase compared with the RBF method. As a result of qualitatively comparing the information transfer clarity between the radon maps prepared with the predicted values through the model implementation, it was found that the maps plotted using the predicted values by the implementation of the IDW method had greater clarity in terms of highness and lowness of radon concentration per area compared with the maps plotted by other methods. Conclusions: The radon management priority area suggests selecting a metropolitan city including an area with a high radon concentration.

• Journal of the Korean Geosynthetics Society
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• v.18 no.4
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• pp.39-52
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• 2019

In this paper the development and implementation of an artificial intelligence (AI)-based Tunnelling Impact prediction and assessment program (SKKU-iTunnel) is presented. Program predicts tunnelling induced surface settlement and groundwater drawdown by utilizing well trained ANNs and uses these predicted values to perform the damage assessment likely to occur in nearby structures and pipelines/utilities for a given tunnel problem. Generalised artificial neural networks (ANNs) were trained, to predict the induced parameters, through databases generated by combining real field data and numerical analysis for cases that represented real field conditions. It is shown that program equipped with carefully trained ANN can predict tunnel impact assessments and perform damage assessments quiet efficiently and comparable accuracy to that of numerical analysis. This paper describes the idea and implementation details of the SKKU-iTunnel with an example for demonstration.