• Title/Summary/Keyword: 위험도모델

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Development of BIM Based Analytical Model for Laterally Loaded Piles with Defects and Application (BIM 기반의 단면이 손상된 말뚝의 수평 거동 해석 모형 개발과 적용)

  • Jung, Young Wook;Ahn, Jaeyoon;Kim, Hyeonseoung;Ahn, Jaehun
    • Journal of the Korean Geotechnical Society
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    • v.40 no.4
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    • pp.179-188
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    • 2024
  • Nondestructive pile integrity tests are used to confirm the construction of drilled shafts as the foundation of many facilities. However, the safety of the foundation is determined only by the presence or absence of defects, and the location and scale of defects are not considered. In this study, we propose an analysis model for the lateral bearing capacity and section force connected building information modeling (BIM) by extracting the cross-sectional characteristics of the defect in piles and reviewing the safety of piles with defects. Defects at the top of piles had more effect on the change in the deflection of the pile head. Moreover, the decrease in the axial force-bending moment interaction diagram due to cross-sectional reduction increased the risk of destruction of the piles more than the change in the bending moments due to defects. The proposed method can help review the comprehensive safety of piles.

Prevalence of Hypertension and Related Risk Factors of the Older Residents in Andong Rural Area (안동 농촌지역 중년 및 노인 주민의 고혈압 유병율과 위험요인 분석)

  • Lee, Hye-Sang;Kwun, In-Sook;Kwon, Chong-Suk
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.38 no.7
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    • pp.852-861
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    • 2009
  • This study was performed to assess the risk factors associated with hypertension from Jan/2003 to Feb/2003. The subjects were 1,296 people (496 males, 800 females) aged 40 years and over living in Andong rural area. The hypertensive group was composed of 602 people (272 males, 330 females), who were diagnosed as hypertension ($SBP{\geq}140\;mmHg$ or $DBP{\geq}90\;mmHg$) for the first time at this health examination. The mean anthropometric values of body weight, body fat (%), body mass index (BMI) and waist circumference were significantly higher in hypertensive group than those in normal group. However, the biochemical measurements such as total-cholesterol (TC), triglyceride (TG), HDL-C, LDL-C and fasting blood glucose (FBG) levels did not show any difference between two groups except TG in female. The risk factors of interest in the development of hypertension were analyzed using the multiple logistic regression and expressed as odds ratio (OR) and 95% confidential interval (CI). The results showed that age, sex, obesity, waist circumference, alcohol drinking and meat intakes were risk factors for hypertension. In contrast, cigarette smoking, exercise and the increased fish, fruit and vegetable (except Kimchi) consumption, blood lipid levels and FBG were not linked with the development of hypertension. Nutrient intakes were not associated with hypertension, either. In conclusion, we cannot assert that this study established the existence of the cause-and-effect relationship between nutrient intakes and risk of hypertension in the subjects, but it does suggest that this is a question worth investigating further using a larger scale of case-control study to determine how the past exposure to some nutrient or dietary component relates to the development of the disease.

Derivation of Building Fire Safety Assessment Factors for Generating 3D Safety Status Map (3D 안전상태지도 제작을 위한 건물 화재안전 평가항목 도출)

  • Youn, Junhee;Kim, Taehoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.10
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    • pp.40-47
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    • 2020
  • Various technologies, systems, and legal systems are applied to prevent and quickly respond to fire disaster; nevertheless, the damages to life and property caused by fires are not reduced every year. For managing fire disaster, generating spatial information-based safety status map and procuring suitability of attribute information for each position information are essential. The safety status map is generated by deriving the fire safety status assessment factors, indexing, and locating the surveying results through various methods. In this paper, we deal with derivation of building fire safety assessment factors for 3D safety status map. At first, we survey the foreign and domestic fire assessment model cases and its factors, and analyze the applicability of Korean 3D fire safety status map. Next, assessment factors for fire safety assessment model are derived. Assessment factors are derived and categorized by their information collecting activity; factors that can be accessed through basic building information and factors that can be accessed through field survey. As a derivation result, 14 assessment factors were derived over five categories(Industry Risk, Structural Risk, Fire Fighting Facility, Fire Dangerousness, Fire Response Status).

The Factor Analysis for Acceptance on Hydrogen Refueling Station Using Structure Equation Model (구조방정식 모델을 이용한 수소충전소 수용에 미치는 요인분석)

  • Lee, Mi Jeong;Baek, Jong-Bae
    • Korean Chemical Engineering Research
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    • v.60 no.3
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    • pp.356-362
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    • 2022
  • Research related to hydrogen technology is being actively conducted around the world. Korea is also making great efforts to develop technology to leap forward as a hydrogen economy powerhouse. In particular, the world's No. 1 hydrogen vehicle penetration rate is proof of this. However, the construction of hydrogen refueling stations is being delayed. The biggest delay factor is the public opposition. As such, policies without public support cannot be successfully implemented and are not sustainable. Therefore, this study intends to analyze the factors affecting the acceptability of hydrogen refueling stations in favor of and against them. As a research method, the basic factors affecting acceptability were identified by reviewing previous studies, and a questionnaire was designed and investigated based on the established factors. The validity and reliability of the questionnaire were verified, and the hypothesis was verified through correlation analysis. And, using structural equation modeling, a factor model was developed on the acceptability of hydrogen refueling stations. As a result of the study, acceptability defined private acceptability and public acceptability. In the case of private acceptability, it was confirmed that the higher the attitude toward the environment, the higher the level of knowledge about the hydrogen charging station, and the lower the degree of feeling the risk of the hydrogen charging station, the higher the acceptability. In the case of public acceptability, it was confirmed that the higher the benefit, the better the attitude toward the environment, and the lower the risk-taking characteristics of the individual, the higher the acceptability. Therefore, in this study, based on the potential factors verified in previous studies, the main factors affecting the acceptance on hydrogen refueling stations were identified. And the acceptance model was developed using structural equation modeling. This study is expected to provide basic data to seek ways to improve the acceptance of public when implementing national policies such as hydrogen refueling stations, and to be used analysis data for scientific communication.

Development of Modeling Technique for Prediction of Driving Force and Kinetic Resistance of Agricultural Forklift (농업용 포크리프트의 구동력 및 운동저항 예측을 위한 모델링 기법 개발)

  • Jo, Jae-hyun;Kim, Jun-tae;Jeong, Jin-hyoung;Chang, Young-yoon;Park, Won-yeop;Lee, Sang-sik
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.3
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    • pp.299-305
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    • 2019
  • This study was initiated to solve the difficulties of aged and female workers in agriculture society due to aging and demise of young people. In the case of the conventional elevated lift, the risk of exposure to uneven road or work environment, not the difficulty of professional qualification and operation, and the risk of exposure to the uneven road or working environment, were also studied based on previous researches so that women could easily and efficiently perform productive agriculture. First, the simulation was carried out through the prediction model of traction performance using the object of agricultural forklift, and the soil of the Kimhae city in Gyeongnam (34.125kPa, internal friction angle 35.294deg, external friction angle 13.620deg, Adhesion force 5.750 kPa, average cone index 0-15 cm cl, 1001.8 kPa). In the case of the forklift for simulation, the driving force and the kinetic resistance prediction modeling of the agricultural electric forklift are modeled. Based on this model, the motor control drive adopts the 1232E model, which is a drive dedicated to AC motor, and divides the two drivers into master and slave And the model for the simulation was designed to control motor drive, hydraulic drive, and various outputs on the main PCB. The simulation model is undergoing continuous simulation, modification and supplementation. Based on this research, we will continue research for development of safer and more efficient agricultural electric forklift.

The Study for Utilizing Data of Cut-Slope Management System by Using Logistic Regression (로지스틱 회귀분석을 이용한 도로비탈면관리시스템 데이터 활용 검토 연구)

  • Woo, Yonghoon;Kim, Seung-Hyun;Yang, Inchul;Lee, Se-Hyeok
    • The Journal of Engineering Geology
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    • v.30 no.4
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    • pp.649-661
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    • 2020
  • Cut-slope management system (CSMS) has been investigated all slopes on the road of the whole country to evaluate risk rating of each slope. Based on this evaluation, the decision-making for maintenance can be conducted, and this procedure will be helpful to establish a consistent and efficient policy of safe road. CSMS has updated the database of all slopes annually, and this database is constructed based on a basic and detailed investigation. In the database, there are two type of data: first one is an objective data such as slopes' location, height, width, length, and information about underground and bedrock, etc; second one is subjective data, which is decided by experts based on those objective data, e.g., degree of emergency and risk, maintenance solution, etc. The purpose of this study is identifying an data application plan to utilize those CSMS data. For this purpose, logistic regression, which is a basic machine-learning method to construct a prediction model, is performed to predict a judging-type variable (i.e., subjective data) based on objective data. The constructed logistic model shows the accurate prediction, and this model can be used to judge a priority of slopes for detailed investigation. Also, it is anticipated that the prediction model can filter unusual data by comparing with a prediction value.

Correlation of Marine Exploration-Survey Vessel Operation Factors and Grid-Type Operation Method through ES Model Analysis (환경스트레스 모델을 통한 해양탐사·조사선의 격자형 운항방식과 운항요인 상관관계에 관한 연구)

  • Park, Hyungoo;Park, Young-soo;Kim, Dae-won
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.6
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    • pp.634-643
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    • 2020
  • Because of the continuous increase in the demand for and importance of marine space, marine exploration and survey activities are being actively conducted in Korea actively. Because the marine survey vessels used for these activities have special operational patterns depending on the purpose and probe vessels, research on maritime traffic risk is required. In this study, an attempt was made to determine the correlation of each factor with the effect of marine exploration and survey vessel operation on maritime traffic. The status of ocean exploration and survey vessels in operation in Korea was identified, as well as the special operational conditions of some of the ocean physical probes. Generally, the number of exploration and survey vessels involved per hour, total vessel length(including exploration equipment), operation, interval distance of exploration as per plan, and marine traffic conditions(traffic volume and speed) can be classified as operating factors. To compare the results of the environmental stress, a maritime traffic flow simulation based on the "ES" Model was performed with each of the identified operating factors as independent variables. The results of the analysis confirmed that the environmental stress significantly changed in the order of traffic volume, ship length and speed. In addition, it was confirmed that the environmental stress is reduced when the operation course is set at an angle with the nearby maritime traffic flow. Accordingly, it can help reduce the operator's burden if the survey vessel operator understands nearby maritime traffic conditions and reflects them in the operation method when setting the operation plan.

A Maryblyt Study to Apply Integrated Control of Fire Blight of Pears in Korea (배 화상병 종합적 방제를 위한 Maryblyt 활용 방안 연구)

  • Kyung-Bong, Namkung;Sung-Chul, Yun
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.24 no.4
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    • pp.305-317
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    • 2022
  • To investigate the blossom infection risk of fire blight on pears, the program Maryblyt has been executed from 2018 to 2022 based on meteorological data from central-Korean cities where fire blight has occurred as well as from southern Korean cities where the disease has not yet occurred. In the past five years, years with the highest risk of pear blossom blight were 2022 and 2019. To identify the optimal time for spraying, we studied the spray mode according to the Maryblyt model and recommend spraying streptomycin on the day after a "High" warning and then one day before forecasted precipitation during the blossom period. Maryblyt also recommends to initiate surgical controls from mid-May for canker blight symptoms on pear trees owing to over-wintering canker in Korea. Web-cam pictures from pear orchards at Cheonan, Icheon, Sangju, and Naju during the flowering period of pear trees were used for comparing real data and constructing a phenological model. The actual starting dates of flowering at southern cities such as Sangju and Naju were consistently earlier than those calculated by the model. It is thus necessary to improve the forecasting model to include field risks by recording the actual flowering period and the first day of the fire blight symptoms, according to the farmers, as well as mist or dew-fall, which are not easily identifiable from meteorological records.

On the Requirements and Risk Management using QFD Methods for ACTD Programs (신개념기술시범(ACTD) 사업에서 QFD 기법을 이용한 요구사항 및 위험관리 방안에 관한 연구)

  • Lee, Tae-Hyung;Lee, Jae-Chon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.12B
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    • pp.1744-1751
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    • 2011
  • The concept of the advanced concept technology demonstration (ACTD) has previously been introduced in USA in order to make it possible to rapidly transfer advanced technologies developed in commercial sectors to develop weapon systems in the defense area. Since then in Korea several ACTD programs have been developed and being carried out However, there are few program management methods suitable for the characteristics of the ACTD programs, which requires stringent management of the program requirements and risks due to the radically shortened development time. In this paper such a problem has been addressed and as a solution approach the quality function deployment (QFD) method has been adopted, which is being served as a successful model in various areas such as manufacturing. The QFD method is used in our study to improve communication between various stakeholders involved in the ACTD programs and also to reduce risks related to requirements. Specifically we have developed the ACTD standard templates based on the QFD method and discussed how to use the developed templates. Finally, the application of the study result is demonstrated through the ACTD program of flight information demonstration system and also specific ways are suggested to use the standard templates, to manage requirements, and to reduce risks.

Risk Analysis using Construction Insurance Claim Payouts (건설공사보험 피해 보상금 지급액을 활용한 리스크 분석)

  • Yu, Yeong-Jin;Son, Kiyoung;Kim, Ji-Myong
    • Journal of the Korea Institute of Building Construction
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    • v.16 no.4
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    • pp.349-357
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    • 2016
  • Recently, the quantity of risk in construction project has been inflated due to the fact that current construction projects have been large and complicated. Therefore, a study on the risk management methods is necessary that can predict and respond to the need in complicated modern construction projects. In this study, the objective is to analyze the cause of accident in actual construction sites and develop a risk assessment model based on insurance claims records. To reach the goal of this study, first, the frequency and severity of accidents are analyzed the causes of accidents based on the classification; progress rate, season, and total construction costs. Second, a risk assessment model is developed by utilizing a multiple regression analysis. The dependent variable is loss ratio of material damage and three categories; natural hazards, geographic information, and construction method & ability, are used as the independent variables. The model's adjusted R-square is 0.455. The contributions of this study will be used as a material for a quantitative risk analysis model development and review of the construction risk factors for future study.