• Journal of the Korean Institute of Gas
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• v.4 no.2 s.10
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• pp.46-51
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• 2000

It is required that fuel gas accidents should be managed carefully along with the increase of fuel gas consumption. Factors to cause accidents were investigated through a systematic analysis of gas accidents during recent 4 years, which could be applied to prepare countermeasures to reduce gas accidents. The thawing season is found to be weak to gas accidents, showing a slightly higher rate of accident occurring than average. During this term although the number of LPG accident is similar to that of yearly average, countermeasures are required for LPG facilities since the portion of accident is large; in detail, user's carelessness, defective facility, or instrument failure are major causes. The number of city gas accident facility is larger than that of yearly average; particularly, defective facilities, third-party work, and appliance failure are major causes. As a result, countermeasures have been suggested for the accident of large portion or above yearly average.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.32-41
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• 2024

In the construction industry, not only safety accidents, but also various complex risks such as construction delays, cost increases, and environmental pollution occur, and management technologies are needed to solve them. Among them, process risk management, which directly affects the project, lacks related information compared to its importance. This study tried to develop a MATM tunnel process risk classification system to solve the difficulty of risk information retrieval due to the use of different classification systems for each project. Risk collection used existing literature review and experience mining techniques, and DB construction utilized the concept of natural language processing. For the structure of the classification system, the existing WBS structure was adopted in consideration of compatibility of data, and an RBS linked to the work species of the WBS was established. As a result of the research, a risk classification system was completed that easily identifies risks by work type and intuitively reveals risk characteristics and risk factors linked to risks. As a result of verifying the usability of the established classification system, it was found that the classification system was effective as risks and risk factors for each work type were easily identified by user input of keywords. Through this study, it is expected to contribute to preventing an increase in cost and construction period by identifying risks according to work types in advance when planning and designing NATM tunnels and establishing countermeasures suitable for those factors.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.303-303
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• 2015

하천에서의 유사이송은 하상의 변화를 야기 시키고 하천의 흐름특성에도 영향을 미치는 주요 현상이다. 유사이송은 하상을 구성하고 있는 모래나 점토질 입자가 물의 흐름을 따라 이동하는 것을 의미하는데, 유사 입자가 균일하지 않고 재질 또한 다양하여 입자에 작용하는 외부 힘을 계산하기 힘들기 때문에 유사 이송을 예측하기에는 많은 어려움이 있다. 이런 이유로 좀 더 확실한 유사이송량을 추정하기위한 많은 연구가 수행되고 있다. 본 연구에서는 1967년 Engelund와 Hansen에 의해서 개발된 공식을 이용하여 하상변동을 계산하였다. Engelund-Hansen 공식은 총유사량을 산정하는 과정에서 부유사량과 소류사를 구분하여 계산한다. 이 공식은 유사이송 함수를 유도하기 위해 수류력 개념과 상사원리를 이용하였다. 본 연구는 대상유역으로 금강 백제보 인근 10 km 구간을 선정하였고, 모의는 2014년도에 생산된 수문자료를 이용하였다. 유사이송은 대부분이 빠른 유속이 발생하는 홍수기에 집중된다. 그러므로 보다 정확한 하상변동을 파악하기 위해서는 홍수기를 포함한 장기간의 계산이 필요하다. 그러므로 본 연구에서는 모의기간을 365일로 결정하였다. 모의결과는 금강을 가로지르는 백제보가 하천의 흐름변화를 야기함에 따라 하류에서는 국부적인 세굴이 발생하는 것으로 나타났다. 특히 가동보 직하류에서 비교적 많은 세굴이 발생하였고 세굴 된 유사는 인근에 퇴적이 되고 있음을 알 수 있었다. 이런 국부적인 하상변동은 생태계의 불균형을 가져올 수 있으며, 하천구조물의 내구성을 약화시키는 요인으로 작용한다. 그러므로 이러한 재해를 예방하기 위해서는 하상변동의 예측이 필수적이다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.1
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• pp.73-81
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• 2018

The purpose of this study is to research the regulation of durability standard of underground structures monitoring sensors. The durability criteria for construction monitoring sensors of domestic construction companies, the standard years of contents such as buildings on the income tax implementation regulations, and the standards of the Public Procurement Service for construction monitoring and construction machinery were analyzed. The durability criterion on products such as the inclination meter and the strain gauge, which are purchased from the Public Procurement Service prior to installation on the underground structure, is 8 to 10 years. It is considered that the monitoring sensor installed in the paperboard and the concrete structure at the time of construction will have considerably shortened service life rather than the useful life of the product itself due to various adverse factors such as groundwater influence and compaction.

• Journal of Cadastre & Land InformatiX
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• v.50 no.1
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• pp.181-200
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• 2020

This study used the OLS model to estimate the determinants affecting the tenure of a home and then compared the predictive power of each model with SVM, Decision Tree, Random Forest, Gradient Boosting, XGBooest and LightGBM. There is a difference from the preceding study in that the Stacking model, one of the ensemble models, can be used as a base model to establish a more predictable model to identify the volume of housing transactions in the housing market. OLS analysis showed that sales profits, housing prices, the number of household members, and the type of residential housing (detached housing, apartments) affected the period of housing ownership, and compared the predictability of the machine learning model with RMSE, the results showed that the machine learning model had higher predictability. Afterwards, the predictive power was compared by applying each machine learning after rebuilding the data with the influencing variables, and the analysis showed the best predictive power of Random Forest. In addition, the most predictable Random Forest, Decision Tree, Gradient Boosting, and XGBooost models were applied as individual models, and the Stacking model was constructed using Linear, Ridge, and Lasso models as meta models. As a result of the analysis, the RMSE value in the Ridge model was the lowest at 0.5181, thus building the highest predictive model.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.20 no.3
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• pp.237-247
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• 1987

The present study deals with the physico-chemical and meteorological conditions in Porphyra-cultivation ground to determine the relationship between laver production and its environmental factors in Kwangyang Bay from January to April in 1986. As a result, major environmental factors which are thought to have a great influence upon the poor harvest during the cultivation period are as follows; 1) the excessive rainfall in the beginning of cultivation period 2) the accumulation of suspended matters on the thallus of laver 3) the decrease of current velocity and the stagnation of the water in the cultivation ground.

• Korean Journal of Construction Engineering and Management
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• v.25 no.4
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• pp.34-44
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• 2024

In defense and military facility projects, adjustments to contract amounts due to design changes directly or indirectly affect factors such as increased construction costs and extended construction periods. Moreover, they can lead to differences of opinion and conflicts between the military and contracting parties. This case study analyzed the integrated management of defense and military facility projects by the Gyeonggi Southern Facilities Division, which oversees projects in Seoul and the southern Gyeonggi Province region for the Army, Navy, Marine Corps, and Air Force. Out of 388 completed projects, 103 cases with design changes were selected for analysis, aiming to ensure the reliability of data regarding the proportion of design changes in project completion. The study classified samples by the causes of design changes specified in the Ministry of Planning and Finance's contract regulations, assigning rankings based on the occurrence rates of each cause. Furthermore, it analyzed detailed factors for each cause of design change and derived implications to propose improvement measures. Considering the limited access to military primary data, this case study is expected to contribute to minimizing design changes in defense and military facility projects. Additionally, it is anticipated to be practically useful for subsequent research on contract amount adjustments resulting from design changes.

• Land and Housing Review
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• v.4 no.1
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• pp.43-54
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• 2013

This This paper investigates the variation of the factors to determinate housing price in Seoul metropolitan area after sub-prime financial crisis, in Korea, using a VAR model. The model includes housing price and housing rent (Jeonse) in Seoul metropolitan area from 1999 to 2011, and uses interest rate, real GDP, KOSPI, Producer Price Index and practices to impulse response and variance decomposition analysis to grasp the dynamic relation between a variable of macro economy and and a variable of housing price. Data is classified to 2 groups before and after the 3rd quater of 2008, when sub-prime crisis occurred; one is from the 1st quater of 1999 to the 3rd quater of 2008, and the other is from the 2nd quater of 1999 and the 4th quater of 2011. As a result, comparing before and after sub-prime crisis, housing price is more influenced by its own variation or Jeonse price's variation instead of interest rate and KOSPI. Both before and after sub-prime financial crisis, Jeonse price is also influenced by its own variation and housing price. While after sub-prime financial crisis, influences of Producer Price Index, KOSPI and interest rate were weakened, influence of real GDP is expanded. As housing price and housing rent are more influenced by real economy factors such as GDP, its own variation than before sub-prime financial crisis, the recent trend that the house prices is declined is difficult to be converted, considering domestic economic recession and uncertainty, continued by Europe financial crisis. In the future to activate the housing business, it ia necessary to promote purchasing power rather than relaxation of financial and supply regulation.

• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.137-157
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• 2013

Korean shipping industry is ranked the fifth largest in the world in terms of deadweight tonnage after Greece, Japan, Germany and China with 55 million DWT as of year 2011, and its size of foreign exchange earning marked 30 billion US dollars. In respect of volume of seaborne trade, it has handled 99% of import and export cargoes. Korean shipping fleets have increased from 420 to 979 ships between year 2003 to year 2011. By reviewing through the relating literatures, it has been found that Shipping Funds under Ship Investment Company Act, and Tonnnage Tax System, worked as positive influences to increase the Korean shipping fleets. However, there is scant of research to examine the following two points: 1) weighing the decision making factors of ship investments for Korean shipping companies, and 2) weighing the influential factors of government shipping policies. In this respect, the aim of this study is to evaluate 8 decision making factors of ship investments for Korean shipping companies, and 8 influential factors of government shipping policies. For weighing the factors, the fuzzy methodology was adopted. As the results, for the side of decision making factors of ship investments, 'shipping market conditions and future prospects', 'ship's price and future prospects, and 'securing cargoes and future prospects' are ranked as top 3 factors. For government shipping policies side, 'shipping finance provided by lease companies', 'establishment of Korea Shipping Guarantee Fund', and 'establishment of Korea Shipping Finance Corporation' are verified as the important factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.610-617
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• 2019

The urban-rural complex area in Korea has a distinctive spatial structure where the urban area and rural area coexist. Therefore, in order to cope with the over-depopulation in the rural region of the urban-rural complex area, it is necessary to explore various policies that can prevent the existing residents from leaving, and in fact support them to remain where they currently reside. In this context, this current study analyzed the factors affecting the existing residents' continuous intention to remain by employing the '2017 Chuncheon City Social Survey' as a countermeasure for the over-depopulation of the rural region in the urban-rural complex area. Especially, since a regional identity is determined endogenously, this study used a simultaneous bivariate ordered probit model with giving consideration to the endogenous relationship between a regional identity and a regional residents' intentions. As a result, it was found on analysis that the regional residential intention was higher as the regional identity was stronger. Furthermore, the regional identity was stronger as a householders' age and residence period were longer, and also as the residents were satisfied with their work leisure and life residence balance. It was also found that the residents' intention was higher as the residents' satisfaction with the local medical service and their work was increased. Thus, supporting policy is needed that can provide appropriate quality-of-life services in a timely manner, but only after identifying the demand for these services by the rural residents in the urban-rural complex area.