• 경영정보학연구
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• 제1권1호
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• pp.51-61
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• 1999

• 대한화약발파공학회:학술대회논문집
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• 대한화약발파공학회 2004년도 발파기술워크샵
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• pp.151-173
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• 2004

• 터널과지하공간
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• 제23권1호
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• pp.31-41
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• 2013

폐광산에서의 지표침하의 영향범위를 추정하기 위하여 많이 적용되어 왔던 도식법은 수평탄층에서 흔히 발생하는 트러프형 침하의 영향범위를 추정하는데 그 적용성이 높은 것으로 알려져 왔다. 그러나 국내 광산의 광체들은 대부분 급경사이며, 침하 형태 또한 함몰형의 빈도가 상대적으로 높은 것으로 보고되고 있기 때문에, 국내 침하지에 도식법을 직접적으로 적용하는 것은 바람직하지 않다. 따라서 본 연구에서는 국내 폐광산 지역에서 발생한 총 163개의 지표침하 발생지에 대한 사례분석을 실시하여, 채굴적의 위치를 기준으로 광체의 경사방향 및 광체의 경사반대방향으로의 지표침하 발생범위를 규명하였다. 또한 이를 토대로 채굴적의 심도를 고려한 지표침하 발생범위에 대한 추정각을 산정하였으며, 기존의 도식법과의 비교분석 및 지표침하 발생 사례 적용분석을 통해 최종적으로 이 추정각의 범위를 제안하였다.

• 한국건설관리학회논문집
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• 제21권3호
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• pp.48-56
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• 2020

기획단계에서의 공사비 예측은 타당성 분석, 예산 책정, 계획수립 등을 위한 기초정보를 제공한다는 점에서 성공적인 프로젝트 수행을 위한 중요한 요소이다. 본 연구에서는 초기 기획단계의 신한옥 공사비 예측 정확도 향상을 목적으로 전체 공사비 중 가장 많은 비중을 차지하는 목공사는 다양한 조건(구조형식, 지붕형태, 평면형태 등)에 의해 개략 물량을 자동 산출하여 공사비를 예측하고, 이외의 공종은 단위단가식을 적용해 공사비를 예측하는 모델을 제시하였다. 2개의 사례를 대상으로 개략 견적 모델로써의 활용성 및 타당성을 검증하였으며, 총공사비의 오차율은 각각 -4%(사례 1), -6%(사례2)로 나타났다. 이러한 결과값은 초기 기획단계에서 실무활용 가능한 범위에서의 오차를 보였다.

• 한국마이크로전자및패키징학회:학술대회논문집
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• 한국마이크로전자및패키징학회 2005년도 ISMP
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• pp.67-88
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• 2005

Mold-Flow 3 Die Stack CSP of Mold array packaging with different Gate types. As high density package option such as 3 or 4 die stacking technologies are developed, the major concerning points of mold related qualities such as incomplete mold, exposed wires and wire sweeping issues are increased because of its narrow space between die top and mold surface and higher wiring density. Full 3D rheokinetic simulation of Mold flow for 3 die stacking structure case was done with the rheological parameters acquired from Slit-Die rheometer and DSC of commercial EMC. The center gate showed severe void but corner gate showed relatively better void performance. But in case of wire sweeping related, the center gate type showed less wire sweeping than corner gate types. From the simulation results, corner gate types showed increased velocity, shear stress and mold pressure near the gate and final filling zone. The experimental Case study and the Mold flow simulation showed good agreement on the mold void and wire sweeping related prediction. Full 3D simulation methodologies with proper rheokinetic material characterization by thermal and rheological instruments enable the prediction of micro-scale mold filling behavior in the multi die stacking and other complicated packaging structures for the future application.

• 보험의학회지
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• 제2권1호
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• pp.260-266
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• 1985

Pregancy is a part of women's life and is common process experienced by most women. On the other hand, a few cannot be pregnant. There are many reasons of infertility and myoma uteri of pelvic mass is a rare reason of infertility. Complication of pregnancy accompanied with myoma uteri is largely affected by the size or location of mass and the incidence by myoma uteri in pregnancy rarely happened, but mass with long pedunculus causes torsion as uterus is getting bigger. In labor myoma uteri causes the abnormal condition of fetal presentation and results in the abnormal childbirth. In case of myoma uteri, maternal mortality is low and there by medical hazards also decrease, but as the life insurance medical is the extensive prediction science, we believe that the prediction of perinatal or the condition of afterbirth by knowing the location, size of myoma uteri contributes to the medical examination. We experienced one case of Elderly primigravida with myoma uteri in Med Dept of Dae Han Kyouk life Insurance Co. Ltd. which the insured with medical examination believe herself as menopause. So we report the observations with studies.

• 설비공학논문집
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• 제25권6호
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• pp.297-302
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• 2013

The ground source heat pump (GSHP) system has attracted attention, because of its stability of heat production, and the high efficiency of the system. However, there are few studies on the prediction method of the heat exchange rate for a horizontal GSHP system. In this research, in order to predict the performance of a horizontal GSHP system, coupled simulation with a ground heat transfer model and a heat exchanger circulation model was developed, and calculation of heat exchange rate was conducted by the developed tool. In order to optimally design the horizontal GSHP system, the flow rate of circulation water, and the depth and buried spaces of heat exchangers were considered by the case study. As a result, the temperature of circulation water and the heat exchange rate of the system were calculated in each case.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 추계학술대회논문집
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• pp.307-310
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• 2000

Recently, the demand for the Floating, Production Storage, and Offloading facility(FPSO) which has some economic and technical advantages, has increased in offshore oil production areas. The basic characteristics of a 343,000 DWT class FPSO which is being built in Hyundai Heavy Industries and shall be installed in offshore Angola, is almost same as that of oil carriers. However, she do not have self-propulsion system, but has additional facilities for oil production and positioning system. Main noise source contributing to the cabin noise of the accommodation, are classified into the machine in the engine room and the deckhouse, HVAC system, and the topside equipments. In general, the noise regulation for the offshore structure is much severer than that of the common commercial ships and the maximum acceptable sound pressure level of cabins is specified in 45dB(A). This paper describes the procedure of noise analysis along with its results. Noise analysis has been carried out for the case of emergency diesel generator running condition and the case of normal production condition and the results has been compared with the measurement results of the first case. Based on the results, proper countermeasures to reduce excessive noise level has been applied considering the characteristics of sources and receiver spaces and can be satisfied the specifications at all spaces.

• 한국화재소방학회논문지
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• 제14권4호
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• pp.7-16
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• 2000

본 연구에서는 대상물질을 선점한 후 그에 따른 세 가지 기준 즉 독성, 화재폭발, 환경기준과 각각의 피해예측기법을 설정하고 이 기준들을 알고리즘을 통한 통합한 종합위해등급으로서 선정된 대상물질에 적용하였다. 특히, 환경기준은 포괄적인 개념으로서 USCG 및 MSDS의 환경기준 분류와 NFPA의 건강위해성(Nh) 중 환경관련 부분을 조합하여 환경지수 모델화를 하였다. 또한 각 기준에 따른 피해예측 기법을 선택하여 지역별 인의에 위치한 화학물질 관련업체에 사용 또는 저장 중인 유해화학물질에 대해 적용하여 사용물질에 대한 종합위해등급 설정(단일물질에 대한 가연성, 독성, 반응성, 환경성에 대한 Hazard level 및 표시 모델화) 및 그에 따른 사고시 피해예측 강도산정 (CPQRA, IAEA, VZ eq), Risk contour를 구할 수 있었다. 이 결과 모든 화학공정 및 저장 등에서 발생할 수 있는 독성 누출, 화재폭발의 잠재적 위험성산정을 통한 안전성 평가의 Tool로 활용이 가능하다.

• 한국정보시스템학회지:정보시스템연구
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• 제29권1호
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• pp.241-265
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• 2020

Purpose Various machine learning techniques are used to implement for predicting corporate credit. However, previous research doesn't utilize time series input features and has a limited prediction timing. Furthermore, in the case of corporate bond credit rating forecast, corporate sample is limited because only large companies are selected for corporate bond credit rating. To address limitations of prior research, this study attempts to implement a predictive model with more sample companies, which can adjust the forecasting point at the present time by using the credit score information and corporate information in time series. Design/methodology/approach To implement this forecasting model, this study uses the sample of 2,191 companies with KIS credit scores for 18 years from 2000 to 2017. For improving the performance of the predictive model, various financial and non-financial features are applied as input variables in a time series through a sliding window technique. In addition, this research also tests various machine learning techniques that were traditionally used to increase the validity of analysis results, and the deep learning technique that is being actively researched of late. Findings RNN-based stateful LSTM model shows good performance in credit rating prediction. By extending the forecasting time point, we find how the performance of the predictive model changes over time and evaluate the feature groups in the short and long terms. In comparison with other studies, the results of 5 classification prediction through label reclassification show good performance relatively. In addition, about 90% accuracy is found in the bad credit forecasts.