• Explosives and Blasting
• /
• v.17 no.4
• /
• pp.67-88
• /
• 1999

Ground settlements induced by tunnel excavation cause the foundations of the neighboring superstructures to deform. An expert system called NESASS was developed to analyze the structural safety of such superstructures. NESASS predicts the trend of ground settlements to be resulted from tunnel excavation and carries out a safety analysis for superstructures on the basis of the predicted ground settlements. Using neural network techniques, NESASS learns a data base consisting of the measured ground settlements collected from numerous actual fields and infers a settlement trend at the field of interest. NESASS calculates the magnitudes of angular distortion, deflection ratio, and differential settlement of the structure and, in turn, determines the safety of the structure. In addition, NESASS predicts the patterns of cracks to be formed on the structure using Dulacskas model for crack evaluation. In this study, the ground settlements measured from the Seoul subway construction sites were collected and sorted with respect to the major factors influencing ground settlement. Subsequently, a database of ground settlement due to tunnel excavation was built. A parametric study was performed to verify the reliability of the proposed neural network structure. A comparison of the ground settlement trends predicted by NESASS with the measured ones indicates that NESASS leads to reasonable predictions. An examples is presented in this paper where NESASS is used to evaluate the safety of a structure subject to deformation due to tunnel excavation near to the structure.

• Journal of Korea Soil Environment Society
• /
• v.1 no.2
• /
• pp.15-21
• /
• 1996

Effects of acid deposition on the acidification of surface water over a short term period were studied during June~October, 1995. A reservoir located in Chunchon, Kangwondo was selected for this study because this reservoir had received little man-made pollutants. Geological survey within the study area was carried out and the pH of a small and shallow stream flowing from the mountain valley down to the reservoir was monitored. Rainfall was measured by using a rain gauge and the precipitation was collected by automatic precipitation sampler. During the study period, rain pH was in the range of 3.81~5.77 with an average of 4.8. The EC was in the range of 5~189$\mu$S/cm with an average of 10.6$\mu$S/cm. ionic composition of the rainfall showed that of the anions, deposition of ${SO_4}^{2-}$, was highest with 3,119.7 kg/$\textrm{km}^2$, and it was $NH^{4+}$ with 1,053.2kg/$\textrm{km}^2$ for cations. The surface water pHs were maintained neutral or weak basic representing little evidence of acidification regardless of the acidic rainfall pH. Every time of sampling, however, the pHs exhibited increasing tendency as elevation of measuring site of the stream became lowered, which indicated the impacts of acid-base reactions by acidic or basic substances during travel of water downstream. This result suggested the necessity of further research to determine the respective buffering capacity of soil and underlying rocks.

• Journal of Digital Convergence
• /
• v.19 no.5
• /
• pp.365-373
• /
• 2021

This work aims to derive data-based requirements by analyzing the importance and performance of media literacy in early childhood animations. For this, a survey was conducted on parents with young children after drawing questions of assessment items through expert focus group interviews (FGI). The analytical instruments, Borich Needs Formula formulation and The Locus for Focus Model were used together to improve accuracy. Based on the results, it is meaningful in that it recognized the demand of the inmates for children's education animation and prepared systematic indicators for it.

• Economic and Environmental Geology
• /
• v.44 no.6
• /
• pp.525-532
• /
• 2011

In this study, the usefulness of underground dam as a means for the sustainable development of groundwater, and its performance in the management of groundwater resources were analyzed. The fully integrated SWAT-MODFLOW was applied to the Ssangcheon watershed in Korea to evaluate the effectiveness of groundwater dam construction. After construction, the groundwater level raised in the upstream area of groundwater dam while lowered in the downstream area. Also, it is shown that the exchange rate of river-aquifer interactions increased in the upper area of the dam. Since the storage capacity of the aquifer largely increased in the upper area of the dam, the exploitable groundwater could be greatly increased as much. This study demonstrated that a groundwater dam was a very useful measure to increase the available storativity of groundwater aquifers. It also represented that the combined analysis using SWAT-MODFLOW was helpful for the design and opeation of groundwater dam in the Ssangcheon watershed.

• Journal of Science Education
• /
• v.39 no.3
• /
• pp.418-433
• /
• 2015

In this study, we investigated the cognitive characteristics of low science achieving middle school students in K-WISC-IV, and compared the results with high science achieving and achieving students. The results showed us that high science achieving students scored higher than counterparts in FSIQ. Low science achieving students scored lower than high science achieving and achieving students in VCI. Especially low science achieving students scored lower than two groups in subtest SI. The low level of abstraction in low science achieving students is due to the lack of scientific reasoning ability. Therefore subtest SI is considered as highly discriminating test for low science achieving group. Low levels in verbal comprehension, abstraction and reasoning ability are the major factors in poor school performance. High science achieving students scored more than achieving and low achieving students in WMI. Because the working memory is involved in scientific reasoning problem solving process, it is believed to play an important role in science achieved.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2001.05a
• /
• pp.43-48
• /
• 2001

본 연구에서는 컨테이너 터미널의 적정 안벽능력(Quay Capacity)을 분석하기 위한 시뮬레이션 모델을 구축하였다. 모델에서는 선박의 터미널 도착 특성, 선박별 양하량 및 적하량, 컨테이너 크레인(Container Crane, C/C) 생산성 및 투입대수 등을 입력변수로 입력하였으며, 시뮬레이션 결과로써는 안벽점유율, 선석 점유율, 대기시간 비율, 대기비율, Norm time 초과비율 등을 출력하였다. 이중 컨테이너 터미널의 평가지표로는 Norm time 초과비율, 대기비율 및 안벽점유율을 적용하였다. 컨테이너 터미널을 운영중인 터미널의 터미널 운영실적 자료를 이용하여 모델의 확인 및 검증을 실하였다. 모델은 Knowledge Base에 근거하여 수행되는 G2를 이용하여 구축하였다.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2005.11a
• /
• pp.391-403
• /
• 2005

전자상거래 인적자원의 양성과 개발을 위해서 자격은 학위와 더불어 지식축적의 결가를 표시하는 대표적인 지표로써 우수한 기술인력의 선별과 훈련방향을 선도하는 역할, 직업능력의 축적을 경쟁적으로 유인해 내는 역할을 수행해야 한다. 하지만 현재의 출제기준은 선업현장에서의 활용도가 부족하여 개선이 요구되고 있다. 본 연구는 전자상거래관리사 직무에 대한 직무 직무분석을 통하여 산업현장의 환경 변화에 따라 요구되는 능력을 체계적으로 분석하여 출제기준을 설계한다. 이를 위해 문헌연구와 직무분석을 통하여 전자상거래관리사 직무의 과업을 도출하고, 과업분석을 통하여 각 과업의 필요지식, 기술 등의 요소들을 도출하였으며 기존의 출제기준과 비교분석하여 출제기준 개선 방안을 제시하였다. 연구 결과의 타당성 확보를 위해 관련 산업분야 전문가의 면담과 설문조사를 통해 직무분석 결과를 검증하였다.

• Journal of Korea Water Resources Association
• /
• v.43 no.12
• /
• pp.1063-1074
• /
• 2010

The objective of this study is to evaluate the application of Land Surface Model (LSM) and global spatial and weather data. After selecting the appropriate LSM, we evaluated the calculation ability of the model for dam basins. Based on the global meteorological and topography data, the accuracy of runoff results were analysed to assess the uncertainty of global data. Period analysis was performed to suggest the global data utilization. The model results by using local data are within the acceptable range reflecting the local complex meteorological and topographical characteristics. Although the accuracy of the simulated results from global data is not good by the uncertainty of meteorological data, it indicated that the accuracy can be improved with increasing duration of runoff analysis over 10 days.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.44 no.1
• /
• pp.63-73
• /
• 2024

Autonomous vehicles at Levels 3 to 5, currently under global research and development, seek to replace the driver's perception, judgment, and control processes with various sensors integrated into the vehicle. This integration enables artificial intelligence to autonomously perform the majority of driving tasks. However, autonomous vehicles currently obtain temporary driving permits, allowing them to operate on roads if they meet minimum criteria for autonomous judgment abilities set by individual countries. When autonomous vehicles become more widespread in the future, it is anticipated that buyers may not have high confidence in the ability of these vehicles to avoid hazardous situations due to the limitations of temporary driving permits. In this study, we propose a method for grading the judgment abilities of autonomous vehicles based on a driving simulator experiment comparing and evaluating drivers' abilities to avoid hazardous situations. The goal is to derive evaluation criteria that allow for grading based on specific scenarios and to propose a framework for grading autonomous vehicles. Thirty adults (25 males and 5 females) participated in the driving simulator experiment. The analysis of the experimental results involved K-means cluster analysis and independent sample t-tests, confirming the possibility of classifying the judgment abilities of autonomous vehicles and the statistical significance of such classifications. Enhancing confidence in the risk-avoidance capabilities of autonomous vehicles in future hazardous situations could be a significant contribution of this research.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2018.05a
• /
• pp.21-21
• /
• 2018

수자원 시스템의 용수공급의 안정도를 평가하는 지표로 국내에서는 이수안전도 혹은 안전채수량(safety degree for water shortage or safe yield)의 개념이 이용된다. 아울러 공급 측면에서는 기준갈수량, 공급신뢰도, 저수용량 등이 분석되고 있으며, 수요 측면에서는 용수공급 보장일수, 최소 부족량, 갈수 조정기간 및 용수부족에 따른 피해정도 등을 고려하고 있다. 전통적으로 수자원 시스템의 평가는 용수공급 실패기간의 통계적 특성을 분석하여 이루어진다. 용수공급 실패기간으로부터 분석되는 통계적 특성은 용수부족 발생빈도, 용수부족 지곡기간 및 용수부족 총 양 등 세 가지로 정량화되는 것이 일반적이다. 수자원 시스템이 수요를 만족시키는 정도인 신뢰도(reliability), 용수부족 발생 후 얼마나 빨리 회복하는지를 나타내는 회복도(resilience) 및 용수부족의 양적 크기를 나타내는 취약도(vulnerability)의 지표는 앞서 언급된 세 가지 통계 특성으로부터 계산된다. 본 연구에서는 Copula 기반 이변량 빈도해석 개념을 적용하여 댐 용수공급 취약성 평가 방법을 개선한 후, 국내 남강 댐 유역의 용수공급 취약성을 평가해보고자 한다. 이를 위해, 국내외에서 이용되고 있는 용수공급 평가지표들의 특성들을 정리하였다. 다음으로는, 취약성 평가 방법에 Copula 기반 이변량 빈도해석 방법을 적용하는 방법을 제안하였다. 본 연구의 분석은 용수공급 실패 사상을 기준으로 수행되었으며, 용수공급 실패 사상의 발생확률은 포아송 분포, 총 부족량은 대수정규분포로 모의되었다. 최종적으로는 남강 댐의 재현기간별 취약성 평가 결과를 도출하여 본 연구에서 제안한 취약성 평가방법의 적용성을 검증하였다.