• 한국터널지하공간학회 논문집
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• 제23권6호
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• pp.577-587
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• 2021

격자형 지하공간 공법은 원지반의 강도를 최대한 활용하는 지하공간 굴착 공법이다. 격자형 지하공간의 안전성을 확보하기 위해서는 암주에 대한 안전성뿐만 아니라 실제 사용되는 공간(Room)에 대한 안전성 또한 확보되어야 하므로 암주와 동시에 공간(Room)에 대한 안정성이 평가되어야 하나, 이에 대한 연구는 미흡한 실정이다. 본 연구에서는 수치해석을 통해 격자형 지하공간의 룸(Room)과 암주 안전성에 대한 평가방안을 연구하였다. 지반조건, 암주 폭, 룸 폭을 매개변수로 한 총 125가지 경우의 수치해석을 수행하여 암주의 안전율은 지반의 강도가 증가할 경우 안전율이 증가하는 것을 확인하였고, 암주의 폭이 넓어질 경우는 안전율 증가 폭이 감소하는 것을 확인하였다. 룸 변형률은 한계변형률을 적용하여 평가하였으며, 암주의 폭이 좁아질수록 높게 나타나고, 룸의 폭이 좁아질수록 변형률이 작게 발생하였다. 암주 안전율과 룸 변형률에 대한 상관관계 분석 결과 암주 폭에 따라 암주의 기준 안전율 이상을 확보할 수 있는 룸 변형률의 상한값을 도출 할 수 있었다. 본 연구에서 도출된 결과는 지반조건, 룸 폭 등을 고려하여 실제 설계를 수행할 경우 룸의 안전성을 확보 할 수 있는 가이드라인으로 활용 될 수 있을 것으로 판단된다.

• Journal of Information Technology Applications and Management
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• 제20권3호
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• pp.43-59
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• 2013

In order to realize the benefits of ITSM, it is necessary to institutionalize ITSM into the organizational culture. Currently, efforts to routinize ITSM lack in practice, and research in this area is also lacking. This study identifies the factors affecting the routinization of ITSM through literature review and interviews with experts, selects a company that has successfully routinized ITSM, and analyses the activities, methods, and procedures employed by the company on the factors in detail. The specific factors analyzed in the study include fulfillment of the customer requirements, top management support, communication, change management, training and education, quality of the ITSM system, and capability of the personnel. Important points verified in this study is that in order to realize organizational performance from ITSM, just the adoption of ITSM is not enough, but the routinization of ITSM through continuous and systematic management and improvement with the support of top management are required. Since this study is a descriptive case study, results of the study cannot be generalized. However, the study will provide practical information that can be referenced by the organizations attempting to routinize ITSM. In addition, results of the study will provide a basis of future research in ITSM.

• 환경영향평가
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• 제17권1호
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• pp.11-24
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• 2008

The Korea Environmental Impact Assessment (EIA) system was introduced in 1977 through the Environmental Conservation Act. It has progressed through many laws and regulations promoting the balance between development and conservation, and functioning as a Preventitive environmental policy. Despite the efforts to minimize environmental damage from development and to uplift social awareness of environmental preservation, deficient impartiality and objectivity in completing and investigating environmental assessments, there have continously existed conflicts among related stakeholder, neglecting arrangements and ineffectiveness of public participation. This research present EIA obstacles and analyzes the overall status of the EIA through surveys from related experts. On the basis of this research, the actual complications regarding the developer, public participation, examiner and consultant are brought about. Also, remedies are proposed to ensure effective EIAs and restore confidence in them.

• 정보보호학회논문지
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• 제25권4호
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• pp.881-888
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• 2015

금융분야에서 개인신용정보 유출사고로 인하여 금융당국은 전자금융거래법등에 통제사항을 강화하여 왔다. 이에 따라 정보보호 수준이 한 단계 향상이 되었지만 추가로 개선할 사항이 더 없는지 연구해볼 필요가 있게 되었다. 본 논문은 정보보호 분야에서 통제사항을 총 망라하는 정보보호관리체계인증의 통제사항과 비교하여 추가로 개선할 통제사항을 전문가들의 의견을 모아 일정 중요도 이상이 되는 19개를 도출하였다.

• 경영과학
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• 제12권1호
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• pp.35-50
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is also invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by author, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE was constructed by using the tools of VP-Expert expert system shell, DBASEIII plus, FORTRAN 77, and SLAMII simulation language. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1995년도 춘계공동학술대회논문집; 전남대학교; 28-29 Apr. 1995
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• pp.79-90
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by authors, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE is consisted of four modules: a knowledge base to select an appropriate equipment type, a multiple criteria decision making procedure to choose the most favorable commercial model of the selected equipment type, a database to store the list of commercial models of equipment types with their specifications, and simulators to evaluate the performance of the equipment model. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.1512-1519
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• 2005

In this study, the potential for liquefaction in the Incheon international airport was calculated by appling the standard penetration test data and laboratory test data to the modified Seed & Idriss(2001) method. The analysis was performed on the non-plastic silty layer and silty sand layer which within the depth of 20m, below 20 of the standard penetration value(N), and the ground water level. Also, each set of data was mapped by using GIS(geographic information systems) and the factor of safety for the potential for liquefaction was obtained by overlapping those layers. As a result, it was found that there exist potential hazard zone for the liquefaction partially. So, the additional detailed assessments for those are thought to be necessary.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2004년도 춘계학술발표회
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• pp.574-579
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• 2004

In this study, finite difference method used in order to analyze influence on settlement of shallow foundation as a result of vegetation and environmental changes, On boundary conditions to analyze, divided the foundation to clayey silt, changed the amount of evaportanspiration to consider the influence of vegetation, and assumed that the duration of enviromental changes are 180 days to consider the influence of environmental changes. It is expected that this study will do to predicting settlement of shallow foundation as well as to preventing damage of shallow foundation.

• Structural Engineering and Mechanics
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• 제29권6호
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• pp.643-658
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• 2008

In this paper, we present a quadratic element model based on non-conforming displacement modes and modified shape functions. This new and refined 8-node hybrid stress plane element consists of two additional non-conforming modes that are added to the translational degree of freedom to improve the behavior of a membrane component. Further, the modification of the shape functions through quadratic polynomials in x-y coordinates enables retaining reasonable accuracy even when the element becomes considerably distorted. To establish its accuracy and efficiency, the element is compared with existing elements and - over a wide range of mesh distortions - it is demonstrated to be exceptionally accurate in predicting displacements and stresses.

• 한국터널공학회:학술대회논문집
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• 한국터널공학회 2005년도 학술발표회 논문집
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• pp.105-116
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• 2005

This study investigated the applicability of the Artificial Neural Network(ANN) technique for prediction of tunnel behavior. For training data collection, a series of finite element analyses were conducted for actual tunnel project site. Using the data, optimimzed ANNs were developed through a sensitivity study on internal parameters. The developed ANNs can make tunneling related predictions such as tunnel crown settlement, shotcrete lining stress, ground surface settlement, and groundwater inflow rate. The results indicated that the developed ANNs can be used as an effective and efficient tool for tunnelling related prediction in practical tunneling situations.