• Title/Summary/Keyword: Country Risk Model

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Competitiveness Evaluation Result of Construction Infra by country in 2012 (2012년도 국가별 건설인프라 경쟁력 평가)

  • Han, Jae-Goo;Park, Hwan-Pyo;Jang, Hyoun-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.11a
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    • pp.216-219
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    • 2013
  • The objective of this study is an assessment of competitiveness in construction infrastructure by nation in order to provide preliminary data of government policy. Key results indicated that out of 23 countries, Korea's construction market size ranked 11th, construction market growth rate ranked 16th, market stability ranked 14th, construction risk ranked 4th, construction system ranked 10th, ICT ranked 1st. And Korea was ranked 10th in overall construction infrastructure competitiveness by nation.

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Abnormal Human Activity Recognition System Based on CNN For Elderly Home Care (노인 홈 케어를위한 CNN 기반의 비정상 인간 활동 인식 시스템)

  • Valavi, Arezoo;Lee, Hyo Jong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.542-544
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    • 2019
  • Changes in a person's health affect one's lifestyle and work activities. According to the World Health Organization (WHO), abnormal activity is growing faster in people aged 60 or more than any other age group in almost every country. This trend steadily continues and expected to increase further in the near future. Abnormal activity put these people at high risk of expected incidents since most of these people live alone. Human abnormal activity analysis is a challenging, useful and interesting problem among the researchers and its particularly crucial task in life and health care areas. In this paper, we discuss the problem of abnormal activities of old people lives alone at home. We propose Convolutional Neural Network (CNN) based model to detect the abnormal behaviors of elderlies by utilizing six simulated action data from daily life actions.

Hydrogen Industry Cycle Infrastructure Safety Analysis (수소산업 전주기 인프라시설 안전성 분석)

  • WOOIL PARK;SEULKI CHOI;INWOO LEE;SEUNGKYU KANG
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.6
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    • pp.795-802
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    • 2022
  • Korea is showing its appearance as a leading country in the hydrogen economy by establishing policies for revitalizing the hydrogen economy and enacting the 「Hydrogen Economy Promotion and Hydrogen Safety Management Act」 for the first time in the world. In addition, domestic hydrogen facilities are using hydrogen energy safely through world-class safety management compared to overseas advanced countries. However, in order to enhance the safety of the rapidly diversifying hydrogen industry and rapid technology development, such as the introduction of liquefied hydrogen, some institutional improvements are needed. In this regard, this paper intends to analyze the results of safety inspections on 13 representative facilities and prepare safety improvement plans to establish preemptive safety measures.

Association Between Pancreatitis and Subsequent Risk of Pancreatic Cancer: a Systematic Review of Epidemiological Studies

  • Tong, Gui-Xian;Geng, Qing-Qing;Chai, Jing;Cheng, Jing;Chen, Peng-Lai;Liang, Han;Shen, Xing-Rong;Wang, De-Bin
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.12
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    • pp.5029-5034
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    • 2014
  • This study aimed to summarize published epidemiological evidence for the relationship between pancreatitis and subsequent risk of pancreatic cancer (PC). We searched Medline and Embase for epidemiological studies published by February $5^{th}$, 2014 examining the risk of PC in pancreatitis patients using highly inclusive algorithms. Information about first author, year of publication, country of study, recruitment period, type of pancreatitis, study design, sample size, source of controls and attained age of subjects were extracted by two researchers and Stata 11.0 was used to perform the statistical analyses and examine publication bias. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated with the random effects model. A total of 17 articles documenting 3 cohort and 14 case-control studies containing 14,667 PC cases and 17,587 pancreatitis cases were included in this study. The pooled OR between pancreatitis and PC risk was 7.05 (95%CI: 6.42-7.75). Howeever, the pooled ORs of case-control and cohort studies were 4.62 (95%CI: 4.08-5.22) and 16.3 (95%CI: 14.3-18.6) respectively. The risk of PC was the highest in patients with chronic pancreatitis (pooled OR=10.35; 95%CI: 9.13-11.75), followed by unspecified type of pancreatitis (pooled OR=6.41; 95%CI: 4.93-8.34), both acute and chronic pancreatitis (pooled OR=6.13; 95%CI: 5.00-7.52), and acute pancreatitis (pooled OR=2.12; 95%CI: 1.59-2.83). The pooled OR of PC in pancreatitis cases diagnosed within 1 year was the highest (pooled OR=23.3; 95%CI: 14.0-38.9); and the risk in subjects diagnosed with pancreatitis for no less than 2, 5 and 10 years were 3.03 (95%CI: 2.41-3.81), 2.82 (95%CI: 2.12-3.76) and 2.25 (95%CI: 1.59-3.19) respectively. Pancreatitis, especially chronic pancreatitis, was associated with a significantly increased risk of PC; and the risk decreased with increasing duration since diagnosis of pancreatitis.

A Study on the Trade Insurance System through Risk Management of Trade Payment of Korea's Export and Import Manufacturing Companies (한국수출기업의 무역대금결제의 위험관리에 따른 무역보험제도에 관한 실증적 연구)

  • Kim, Chang Bong;Park, Se Hwan;Kwon, Seung Ha
    • International Commerce and Information Review
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    • v.19 no.2
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    • pp.213-236
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    • 2017
  • World trade has entered a stagnant state, protection trade measures are spread due to delayed economic recovery in developed countries, sluggish investment in emerging economies such as China, economic recession in resource exporting countries, and geopolitical and political uncertainties along with the election period in the US and other major industrialized countries. Thus, in the economic structure of our country with a focus on export, for small and medium enterprises to grow, efforts for having various markets are necessary. The importance of the trade insurance system, which can support the risk management of enterprises, is emphasized by the fact that the majority of SME exporters have a risk management level and a lack of corporate capacity to enter the global market. This study was surveyed with 87 small and medium export companies in South Korea. The purpose of this study is to verify the effect relationship how service quality of trade insurance and utilization of trade insurance impact on the risk management of trade payment and export performance. The research hypothesis and model was derived from the basis of existing theory and empirical research, and obtained the following results. Firstly, Service Quality of Trade Insurance showed positive (+) effect on Export Performance. Secondly, Utilization of Trade Insurance showed positive (+) effect on Risk Management of Trade Payment. Thirdly, Risk Management of Trade Payment showed positive (+) effect on Export Performance. This study is differentiated from previous research information by empirically evaluating the relationship between the risk management of trade payment and export performance through utilization of trade insurance. This study contributed to academic by examining the research on the risk management of trade insurance and also practically suggested the direction how small and medium export company is to take the advantage of the trade insurance.

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A Study on Application of 2-Dimensional Flow Models to Inundation on Underground Space System (지하공간 침수해석을 위한 2차원 흐름모형의 적용성 검토)

  • Kwak, Sunghyun;Lee, Kyungsu;Rhee, Dong Sop;Lyu, Siwan
    • Journal of the Korean Society of Safety
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    • v.30 no.6
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    • pp.78-84
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    • 2015
  • In order to increase the utilization of limited space in urban area, it can be a good solution to make use of underground space. For the last few decades, underground space systems, such as underground passages, subway stations, and underground shopping arcades, have been constructed in many cities all over the country. Despite of the advantages on the utilization of space in urban area, underground space systems have always been exposed to the risk of inundations resulted from severe rain storms. In this study, it has been examined to apply 2-D flow models (TUFLOW and FLUMEN) to establishing the preventive measures to the risk of flood. For the part with relatively complex configuration, such as a corridor junction, 2-D flow models present the detailed information about the effect of geometry on the inundation events and the temporal and spatial distribution of inundation over the space. From the result, it can be concluded that the 2-D flow model can be the effective implement for establishing the proper measure to the inundation on underground space systems, which generally have relatively long and narrow geometry with complex inner configuration.

Learning Model Development of utilizing a Tutor to study cyber-terrorism (사이버테러에 대비한 국가정보보안 현장 튜터를 활용한 교수-학습 모형 개발)

  • Yun, Dong Sic
    • Convergence Security Journal
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    • v.15 no.6_1
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    • pp.49-57
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    • 2015
  • Changes in the national intelligence security industry is becoming increasingly rapidly changing due to the development of the network and the use of the Internet. Information also can be called by critical information assets, as well as social infrastructure of the country's reality is that individuals at risk. These professionals make to prevent terrorists to destroy national defense system and network was absolutely necessary. But, Cyber Terror Response NCOs to be responsible for cyber terrorism requires a professional NCOs with advanced knowledge. National Competency Standards(NCS) using a national information security field tutors to conduct training courses teaching - learning model to develop and to apply.

Predictive Analysis of Fire Risk Factors in Gyeonggi-do Using Machine Learning (머신러닝을 이용한 경기도 화재위험요인 예측분석)

  • Seo, Min Song;Castillo Osorio, Ever Enrique;Yoo, Hwan Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.351-361
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    • 2021
  • The seriousness of fire is rising because fire causes enormous damage to property and human life. Therefore, this study aims to predict various risk factors affecting fire by fire type. The predictive analysis of fire factors was carried out targeting Gyeonggi-do, which has the highest number of fires in the country. For the analysis, using machine learning methods SVM (Support Vector Machine), RF (Random Forest), GBRT (Gradient Boosted Regression Tree) the accuracy of each model was presented with a high fit model through MAE (Mean Absolute Error) and RMSE (Root Mean Squared Error), and based on this, predictive analysis of fire factors in Gyeonggi-do was conducted. In addition, using machine learning methods such as SVM (Support Vector Machine), RF (Random Forest), and GBRT (Gradient Boosted Regression Tree), the accuracy of each model was presented with a high-fit model through MAE and RMSE. Predictive analysis of occurrence factors was achieved. Based on this, as a result of comparative analysis of three machine learning methods, the RF method showed a MAE = 1.765 and RMSE = 1.876, as well as the MAE and RMSE verification and test data were very similar with a difference between MAE = 0.046 and RMSE = 0.04 showing the best predictive results. The results of this study are expected to be used as useful data for fire safety management allowing decision makers to identify the sequence of dangers related to the factors affecting the occurrence of fire.

A Study on Risk Assessment Method for Earthquake-Induced Landslides (지진에 의한 산사태 위험도 평가방안에 관한 연구)

  • Seo, Junpyo;Eu, Song;Lee, Kihwan;Lee, Changwoo;Woo, Choongshik
    • Journal of the Society of Disaster Information
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    • v.17 no.4
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    • pp.694-709
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    • 2021
  • Purpose: In this study, earthquake-induced landslide risk assessment was conducted to provide basic data for efficient and preemptive damage prevention by selecting the erosion control work before the earthquake and the prediction and restoration priorities of the damaged area after the earthquake. Method: The study analyzed the previous studies abroad to examine the evaluation methodology and to derive the evaluation factors, and examine the utilization of the landslide hazard map currently used in Korea. In addition, the earthquake-induced landslide hazard map was also established on a pilot basis based on the fault zone and epicenter of Pohang using seismic attenuation. Result: The earthquake-induced landslide risk assessment study showed that China ranked 44%, Italy 16%, the U.S. 15%, Japan 10%, and Taiwan 8%. As for the evaluation method, the statistical model was the most common at 59%, and the physical model was found at 23%. The factors frequently used in the statistical model were altitude, distance from the fault, gradient, slope aspect, country rock, and topographic curvature. Since Korea's landslide hazard map reflects topography, geology, and forest floor conditions, it has been shown that it is reasonable to evaluate the risk of earthquake-induced landslides using it. As a result of evaluating the risk of landslides based on the fault zone and epicenter in the Pohang area, the risk grade was changed to reflect the impact of the earthquake. Conclusion: It is effective to use the landslide hazard map to evaluate the risk of earthquake-induced landslides at the regional scale. The risk map based on the fault zone is effective when used in the selection of a target site for preventive erosion control work to prevent damage from earthquake-induced landslides. In addition, the risk map based on the epicenter can be used for efficient follow-up management in order to prioritize damage prevention measures, such as to investigate the current status of landslide damage after an earthquake, or to restore the damaged area.

The Effects Analysis and Model Project on Speed Management in Commerical Area Street (상업지역 생활도로 속도관리 시범운영 및 효과분석)

  • Shim, Kywan-Bho;Heo, Nak-Won
    • International Journal of Highway Engineering
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    • v.13 no.1
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    • pp.119-127
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    • 2011
  • The main purpose of this paper is to apply Zone 30 system which is being experimented in advanced country for the solution of controlling the residential street's speed to our country with the consideration of the real condition of our street and traffic and to run this system as an example to analyze the effect and at the same time, analyze the problem and get appropriate preparation for this system to be widespread. The area to run this model project is Goyang City Ilsan-Gu.($0.65km^2$) which is close with the commercial area reflecting the opinion of experts and an on-site verification by the National Police Agency T/F and is having a heavy pedestrian traffic and the risk of pedestrian accident. Firstly we defined residential street and residential street area to review the system and devided the residential street type to establish a plan of operation. Afterwards, we thoroughly examined the model project area and analyzed the problem and solution. We finally completed establishing a facilities by conference with a local autonomous entity with the improvement of facility's sketch at the analysis of the model project area. The result of effects analysis which we devided after and before of establishment is that vehicle speed be reduced 5~15km/h, and traffic accidents has decreased by 24 percent.