• 한국산업융합학회 논문집
• /
• 제24권6_2호
• /
• pp.841-848
• /
• 2021

This study investigated the acceleration characteristics of rock slopes when earthquakes, which have not been studied much in Korea, occur. The rock slope was modeled with a similar raw of 1/20 in consideration of the height(10m), roughness, strength, and the joint dips(20°). After the completion of the model, a shaking table tests was conducted according to the magnitude of the acceleration and the type of seismic wave. The maximum acceleration was greater in the short-period seismic wave than in the long-period seismic wave, and the maximum acceleration was larger in the small acceleration. The rock slope was close to a rigid block and a structure more vulnerable to the long period wave than to the short period wave. In the event of an earthquake smaller than the domestic earthquake-resistant maximum design acceleration(0.154g), safety management of the rock slope was required.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
• /
• pp.1304-1312
• /
• 2008

In this study, the analysis to the preference level on slope measuring instrument of weight values on effect factors find out the reasonable monitoring on slope was performed, in which used AHP(Analytic Hierarchy Process) techniques. The results on professional group, such as the industry, academic, institute and government, analyzed that the very important effect factors, which were indicator of various collapse type, convenience of instrument management, The evaluation of preference level on the slope measuring instrument analyzed the invar wire extensometer which was high level at convenience of install, economical efficiency of install and convenience of instrument management.

• 한국경영과학회:학술대회논문집
• /
• 대한산업공학회/한국경영과학회 1990년도 춘계공동학술대회논문집; 한국과학기술원; 28 Apr. 1990
• /
• pp.151-162
• /
• 1990

Occupational disease among typists such as Carpal Tunnel Syndrome(CTS) and tendonitis has increased along with rapid expansion of office automation. During typing, the posture can be defined as forearm pronation, ulnar abduction, wrist extension and finger flexion. The CTS results from awkward posture between forearm-wrist-hand and the keyboard arrangement. Therefore, ergonomic principles should be emphasized in keyboard design. The objective of the study is to improve keyboard design by analyzing anatomical posture of forearm and hand during typing. An experimental study was performed to investigate relationships between a keyboard and typing performance. Results showed that typing performance is dependent to angles and slopes of a keyboard. Statistical analysis indicated that the suggested ergonomic keyboard improved typing speed significantly(17%).

• 한국재난정보학회 논문집
• /
• 제16권1호
• /
• pp.111-122
• /
• 2020

연구목적: 효율적인 급경사지관리를 위하여 급경사지 관리 절차의 문제점을 진단하고 개선된 프레임워크를 제안을 통해 인명 및 재산피해를 경감하고자 함에 있다. 연구방법: 붕괴위험지역 지정 절차검토, 지자체 인터뷰, 전문가 자문을 통해 급경사지 관리 전반적 문제점을 도출함 연구결과: 평가 전 선정단계, 관리의 주체, 관리 방법과 관리 단계별 개선되어야 할 요소들을 도출하였다. 결론: 본논문은 제기된 문제점을 확인하여 개선점을 도출하였고 새로운 시스템(안), 급경사지 발전을 위한 연구 방향을 제시하였다.

• 한국기후변화학회지
• /
• 제9권3호
• /
• pp.293-302
• /
• 2018

This study was carried out to provide basic information on efficient preservation and management of an Abies koreana forest through analyzing the ecological characteristics by slope in Seseok, Mt. Jirisan. Soil moisture content at southern and northern slopes was 29.9% and 21.7%, respectively, and there was no significant difference among soil properties between southern and northern slopes. The importance value of A. koreana in the southern and northern slopes was high for tree and subtree layers, respectively. It is noteworthy that many seedling and saplings of A. koreana were present on the southern slope. The species diversity was 0.413 for the tree layer, 0.632 for the subtree layer, and 0.609 for the shrub layer on the southern slope and 0.396 for the tree layer, 0.783 for the subtree layer, and 1.215 for the shrub layer on the northern slope. Evenness and dominance ranged from 0.371 to 0.609 and 0.629 to 0.391 on the southern slope and from 0.380 to 0.968 and 0.620 to 0.032 on the northern slope, respectively. The mortality of A. koreana was 9.6% on the southern slope and 24.4% on the northern slope, a distinct difference between the slopes. The mortality type at two slopes was the highest proportion of standing dead. Annual mean tree ring growth of A. koreana on the southern slope (1.76 mm/yr) was higher than that on the northern slope (1.64 mm/yr).

• 지질공학
• /
• 제27권3호
• /
• pp.275-292
• /
• 2017

베트남은 사이클론과 집중호우의 영향으로 매년 100회 이상의 대형 산사태가 발생하고 있다. 그럼에도 불구하고 도로비탈면이나 산지의 재해를 미연에 예방하기 위한 과학적인 관리 체계는 갖추지 못하고 있다. 본 연구에서는 베트남의 중부지방인 Danang의 Hoang Sa Costal Road 및 Quangnam의 Ho Chi Minh Road 내 존재하는 도로비탈면에 대한 기초조사를 통해 산사태를 유발할 수 있는 위험도 인자와 피해도 인자를 습득하였다. 취득자료에 대한 경험론적 분석을 통해 베트남 도로비탈면의 노출특성을 고려한 조사우선순위 기법을 개발하였으며, 이를 통해 베트남 도로비탈면의 체계적인 관리를 위한 과학적인 관리토대를 마련하였다.

• 지질공학
• /
• 제22권4호
• /
• pp.417-425
• /
• 2012

최근 괄목할만한 발전을 이룩해 온 CCTV는 범죄, 보안시스템 기능 이외에도 시설물의 변화를 관찰하기 위한 목적으로 토목공학 분야에서도 활용빈도가 높아지고 있다. 한국건설기술연구원은 "도로비탈면유지관리시스템(Cut Slope Management System, 이하 CSMS)"을 통하여 도로비탈면의 붕괴 이전에 안정성을 확보하는 연구를 수행 중에 있으며, 대책공법 적용에 한계가 있는 위험비탈면에 대해서는 상시계측시스템을 구축하여 관리 중에 있다. 이들 현장 변위 발생 상황의 진위를 파악하기 위해 119개소 현장에 대해서 CCTV를 적용하여 위험활동을 감시하고 있다. 특히 변위가 인지되었던 3개소 현장에 대한 CCTV촬영영상과 변위 양상의 비교를 통하여 후속 대응을 수행했던 사례를 소개하였다. CCTV 운영에 있어 통신전송 문제, 장애 발생 문제, 야간 운영 한계, 정량적 분석의 한계성 등의 문제점 고찰을 통하여 CCTV 운영의 한계성을 극복하기 위한 연구 방향을 살펴 보았다.

• 지질공학
• /
• 제31권1호
• /
• pp.31-42
• /
• 2021

도로비탈면관리시스템(Cut-Slope Management System, CSMS)은 전국 일반국도 비탈면에 대해 기초·정밀 조사를 바탕으로 데이터베이스를 구축해왔다. 그런데 이러한 데이터는 사람에 의해 기록되기 때문에 데이터 누락 및 오기입 문제가 발생할 수밖에 없다. 본 연구에서는 데이터의 불완전성 문제를 극복하기 위해 여러 머신러닝 기반의 예측모델들을 개발하고 이를 이용한 데이터 품질 강화 가능성을 검토하고자 하였다. 우선 다 범주 문자형 데이터를 수치화하는 과정을 수행하였고, 선정된 데이터 항목들에 대해 다항 로지스틱 회귀분석(Multinomial Logistic Regression)과 심층신경망(Deep-Neural-Network) 기반의 예측모델들을 개발하였다. 그 결과, 심층신경망 모델들의 정확도가 월등히 높은 것으로 나타났다. 향후 개발된 모델들을 활용하여 누락 및 오기입 데이터의 보완이 가능할 것으로 기대된다.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2010년도 춘계 학술발표회
• /
• pp.1358-1365
• /
• 2010

Estimating condition of slope is difficult because of nonlinear time dependency and seasonal effects, which affect the displacements. Displacements and displacement patterns of landslides are highly variable in time and space, and a unique approach cannot be defined to model landslide movements. Characteristics of movements are obtained by using a statistical method called Principal Component Analysis(PCA). The PCA is a non-parametric method to separate unknown, statistically uncorrelated source processes from observed mixed processes. In the non-parametric approaches, no physical assumptions of target systems are required. Instead, since the "best" mathematical relationship is estimated for given data sets of the input and output measured from target systems. As a consequence, non-parametric approaches are advantageous in modeling systems whose geomechanical properties are unknown or difficult to be measured. Non-parametric approaches are consequently more flexible in modeling than parametric approaches. This method is expected to be a useful tool for the slope management of and alarm systems.

• 국제학술발표논문집
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.728-735
• /
• 2022

Roofers get exposed to increased risk of knee musculoskeletal disorders (MSDs) at different phases of a sloped shingle installation task. As different phases are associated with different risk levels, this study explored the application of machine learning for automated classification of seven phases in a shingle installation task using knee kinematics and roof slope information. An optical motion capture system was used to collect knee kinematics data from nine subjects who mimicked shingle installation on a slope-adjustable wooden platform. Four features were used in building a phase classification model. They were three knee joint rotation angles (i.e., flexion, abduction-adduction, and internal-external rotation) of the subjects, and the roof slope at which they operated. Three ensemble machine learning algorithms (i.e., random forests, decision trees, and k-nearest neighbors) were used for training and prediction. The simulations indicate that the k-nearest neighbor classifier provided the best performance, with an overall accuracy of 92.62%, demonstrating the considerable potential of machine learning methods in detecting shingle installation phases from workers knee joint rotation and roof slope information. This knowledge, with further investigation, may facilitate knee MSD risk identification among roofers and intervention development.