• Fire Science and Engineering
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• v.30 no.5
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• pp.46-53
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• 2016

Wooden cultural heritage is vulnerable to fire, flooding and other hazards. Therefore, an effective disaster prevention and mitigation strategy for them should include preventive measures in a full range of management. These were used to construct a disaster safety system for 508 wooden cultural heritage items by the Cultural Heritage Administration. According to the type of ownership and administration, national and public heritage is controlled by personal management or commissional management. Among them, it is arranged with the safety security institute for important cultural properties. In addition, they have problems of field management with no computerization about the management information for a disaster facility system. Therefore, this study aimed to develop a DB platform that can share information with many users who need to manage cultural heritage. Through a field survey, it is feasible to develop a disaster facility system to provide the information, such as the main data, quantity and location.

• Journal of the Korea institute for structural maintenance and inspection
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• v.9 no.4
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• pp.169-176
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• 2005

An analysis of the annual frequency of collapse(AF) is performed for each bridge pier exposed to ship collision. From this analysis, the impact lateral resistance can be determined for each pier. The bridge pier impact resistance is selected using a probability-based analysis procedure in which the predicted annual frequency of bridge collapse, AF, from the ship collision risk assessment is compared to an acceptance criterion. The analysis procedure is an iterative process in which a trial impact resistance is selected for a bridge component and a computed AF is compared to the acceptance criterion, and revisions to the analysis variables are made as necessary to achieve compliance. The distribution of the AF acceptance criterion among the exposed piers is generally based on the designer's judgment. In this study, the acceptance criterion is allocated to each pier using allocation weights based on the previous predictions.

• Environmental and Resource Economics Review
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• v.18 no.1
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• pp.139-158
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• 2009

With the sample of Middle East crude oil imported to South Korea, this study empirically analyzes the effectiveness of the risk management strategies using derivatives such as futures and options. Assuming the hedging period of one to twelve months, it considers a spot purchasing strategy, 1 : 1 futures hedge strategy, OLS-based minimum-variance futures hedge strategy, buying call option strategy, and collar transaction strategy. According to the ex-ante result, using the derivatives of futures or options makes lower the procurement costs when the crude oil prices is increasing. With the hedging period less than or equal to six months, the hedging strategy using futures turns out to be superior in terms of procurement cost reduction and hedging effectiveness improvement. In contrast, the hedging strategies of buying call option and collar transaction would generate better results when the hedging program last over six months.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.6
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• pp.45-52
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• 2010

One of the ways to minimize damage by a slope collapse is to set up preventive measures in advance by measuring displacements in a slope and predicting a collapse. There have been many different technologies developed to predict a collapse with diverse measuring equipment. Especially recently, attempts have been made to utilize terrestrial LiDAR, a high-tech imaging equipment to measure displacements on a scope. Terrestrial LiDAR generates three-dimensional information about an object with millimeter-level accuracy from hundreds of meters away and has been used in an array of fields including restoration of cultural assets, three-dimensional modeling, and making of topographic maps. In recent years, it has been used to measure displacements in structure as well. This study monitored displacements in slopes of high collapse risk with terrestrial LiDAR. As a result, it was able to confirm the applicability of terrestrial LiDAR to the field, and proposed monitoring methods.

• Journal of the Society of Disaster Information
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• v.14 no.3
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• pp.352-359
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• 2018

Purpose: This study aims to suggest new strategy of planning water management and land use in response to abnormal weather which allow waterfront to be the cities through the experience of Netherlands resilient project. Method: A planning direction is developed based on Dutch national resilient policy and strategy as well as resilient theory of technical and social aspects, focusing on a new waterfront development that responds to abnormal weather. Results: The water control strategy, for flexibly responding to the sea level rise and flooding caused by the climate change through the experience of Dutch resilience, is as follows: 1)Customized prevention plan according to the local property 2)Creating spatial planning by considering disaster risk level and fragility 3)Establishing urban planning by considering the flood risk level. Conclusion: A new urban development method, particularly a resilience strategy based on the waterfront space where is most vulnerable to climate change, is required to cope with the abnormal climate beyond the conventional planning.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.11
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• pp.471-480
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• 2023

The Korean construction order volume in South Korea grew significantly from 91.3 trillion won in public orders in 2013 to a total of 212 trillion won in 2021, particularly in the private sector. As the size of the domestic and overseas markets grew, the scale and complexity of EPC (Engineering, Procurement, Construction) projects increased, and risk management of project management and ITB (Invitation to Bid) documents became a critical issue. The time granted to actual construction companies in the bidding process following the EPC project award is not only limited, but also extremely challenging to review all the risk terms in the ITB document due to manpower and cost issues. Previous research attempted to categorize the risk terms in EPC contract documents and detect them based on AI, but there were limitations to practical use due to problems related to data, such as the limit of labeled data utilization and class imbalance. Therefore, this study aims to develop an AI model that can categorize the contract terms based on the FIDIC Yellow 2017(Federation Internationale Des Ingenieurs-Conseils Contract terms) standard in detail, rather than defining and classifying risk terms like previous research. A multi-text classification function is necessary because the contract terms that need to be reviewed in detail may vary depending on the scale and type of the project. To enhance the performance of the multi-text classification model, we developed the ELECTRA PLM (Pre-trained Language Model) capable of efficiently learning the context of text data from the pre-training stage, and conducted a four-step experiment to validate the performance of the model. As a result, the ensemble version of the self-developed ITB-ELECTRA model and Legal-BERT achieved the best performance with a weighted average F1-Score of 76% in the classification of 57 contract terms.

• Journal of Soil and Groundwater Environment
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• v.27 no.spc
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• pp.64-74
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• 2022

The conceptual site model (CSM) is used as a key tool to support decision making in risk based management of contaminated sites. In this work, CSM was applied in Jeonju Industrial Complex where site investigation for groundwater contamination was conducted. Site background information including facility types, physical conditions, contaminants spill history, receptor exposure, and ecological information were collected and cross-checked with tabulated checklist necessary for CSM application. The CSM for contaminants migration utilized DNAPL transport model and narrative CSMs were constructed for source to receptor pathway, ecological exposure route, and contaminants fate and transport in the form of a diagram or flowchart. The component and uncertainty of preliminary CSM were reviewed using the data gap analysis while taking into account the purpose of the survey and the site management stage at the time of the survey. Through this approach, the potential utility of CSM was demonstrated in the site management process, such as assessing site conditions and planning follow-up survey work.

• The Journal of Bigdata
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• v.5 no.2
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• pp.53-67
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• 2020

This study employees a supervised learning prediction model to detect nonconformity in advance of processed food manufacturing and processing businesses. The study was conducted according to the standard procedure of machine learning, such as definition of objective function, data preprocessing and feature engineering and model selection and evaluation. The dependent variable was set as the number of supervised inspection detections over the past five years from 2014 to 2018, and the objective function was to maximize the probability of detecting the nonconforming companies. The data was preprocessed by reflecting not only basic attributes such as revenues, operating duration, number of employees, but also the inspections track records and extraneous climate data. After applying the feature variable extraction method, the machine learning algorithm was applied to the data by deriving the company's risk, item risk, environmental risk, and past violation history as feature variables that affect the determination of nonconformity. The f1-score of the decision tree, one of ensemble models, was much higher than those of other models. Based on the results of this study, it is expected that the official food control for food safety management will be enhanced and geared into the data-evidence based management as well as scientific administrative system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.510-519
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• 2019

The aim of this study was to set a defect classification framework and evaluate the defect risks in apartment buildings For this, approximately 15,056 defect items for 133 apartment buildings were examined. As a result of the analysis, the major defect of the RC work was cracks, which were found mainly in public locations. Moreover, the RC work was found to exhibit a high defect risk of water problem and surface appearance, which are highly connected with cracks. Second, the finish work has a high defect risk because it is composed of various work types, and there are many kinds of materials and construction parts involved. Third, the major defects of the waterproof work were incorrect installation and missing tasks, which have high defect risks in the garage. This is because defects that require rework occur mainly in the underground garage. Based on these results, this study proposed countermeasures for defect risk management to be considered in the construction, handover, post-handover, and occupancy phases. These have been set in detail based on the three zones: low frequency high severity (LFHS), low frequency low severity (LFLS), and high frequency low severity (HFLS).

• Journal of agricultural medicine and community health
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• v.35 no.2
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• pp.124-133
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• 2010

Objectives: This study is to offer basic data to understand the relationships between mental health, level of depression, and internet addiction of high school students in farming communities for developing a mental health management program for adolescents. Methods: The survey was carried out on a convenience sample of 299 high school students in farming communities during May of 2008. Data analysis procedure included $X^2$-test, t-test, Pearson correlation among Adolescent Mental Health & Problem-behavior Screening Questionnaire (AMPQ), Children's Depression Inventory (CDI), and Scales of Internet addiction (K-scales). Results: First, the level of mental health according to the AMPQ for subjects from this study showed problematic behavior was lower when compared to other researches. There were statistically significant differences according to the school type for externalization problems and overall problematic behavior. Based on gender, it was even more problematic for male students in regards to externalization problems. Secondly, the level of depression was relatively low : 5.1% for potential risk and 0.3% for high risk. Thirdly, a total of 96.9% were considered normal for Internet addition levels. 1.7% for potential risk, 1.4% for high risk; however, there was no statistically significant difference between each variable. Fourthly, there was a strong relationship between subjects AMPQ, level of depression and Internet addiction. As depression worsens, Internet addiction also becomes stronger. Conclusion: There is a need for awareness of the mental health of adolescents and precautionary measures, the development of a program for early treatment, adequate management, and decisions on the direction of treatment.