• Korean Journal of Construction Engineering and Management
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• v.10 no.4
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• pp.67-75
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• 2009

The mixed-use development project like urban regeneration project has been enforced with long period and participation of various stakeholders. For this character, lots of risk could be occurred during the process of project and the project's success or failure depends on the risk management. So the process of identifying and responding to risks in urban regeneration projects should be followed systemically. The risk identification phase is the first step to identify risk factors and define risk's character. One of the risk identification methods, the checklist, is the most practical and well-known one. This study suggests the check list that devide risks classified by stakeholders through analizing tasks of stakeholders and drawing risks. This kind of checklist which handles risk factors classified by stakeholders is an easy tool to identify risks and expected to be effective to find risks for various stakeholders and themselves in the urban regeneration projects.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.313-322
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• 2020

The recognition of the risk hazards is a vital step to effectively prevent accidents on a construction site. The advanced development in computer vision systems and the availability of the large visual database related to construction site made it possible to take quick action in the event of human error and disaster situations that may occur during management supervision. Therefore, it is necessary to analyze the risk factors that need to be managed at the construction site and review appropriate and effective technical methods for each risk factor. This research focuses on analyzing Occupational Safety and Health Agency (OSHA) related to risk zone identification rules that can be adopted by the image recognition technology and classify their risk factors depending on the effective technical method. Therefore, this research developed a pattern-oriented classification of OSHA rules that can employ a large scale of safety hazard recognition. This research uses joint reasoning of risk zone Identification and numeric input by utilizing a stereo camera integrated with an image detection algorithm such as (YOLOv3) and Pyramid Stereo Matching Network (PSMNet). The research result identifies risk zones and raises alarm if a target object enters this zone. It also determines numerical information of a target, which recognizes the length, spacing, and angle of the target. Applying image detection joint logic algorithms might leverage the speed and accuracy of hazard detection due to merging more than one factor to prevent accidents in the job site.

• Journal of the Korea Safety Management & Science
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• v.1 no.1
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• pp.231-239
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• 1999

CAPM explains the rate of return for the risk asset by $\beta$, systematic risk. There are some assumption in CAPM. But CAPM can not explain the movement of stock price sufficiently due to limitation of the assumptions. Therefore many scholars study which variables with the exception of $\beta$ effect on the rate of return of risk asset for supplementing this limitation by using PER, size of firm etc.. But it will be natural that PER, size of firm etc. to be determinant factors of $\beta$ also effect on the abnormal rate of return, because PER, size of firm etc. used in their studies already effect on determination of $\beta$, . That is, the determinant factors of $\beta$ effect on determination of abnormal rate of return according as $\beta$, effects on abnormal rate of return. Therefore, this study tests empirically how the determinant factors of $\beta$, effect on determination of$\beta$, ,and how $\beta$ and the determinant factor of $\beta$ effect on the abnormal rate of return in CAPM.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.1-6
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• 2005

To improve safety management of railway and cope with the factors to threat technical and social safety, we need to establish railway safety management system based on analysis of hazards and assessment of risk for railway system. So we have to conduct PHA(Preliminary Hazard Analysis) first to understand weak points and factors to possibly threat safety using analysis of related data such as past accident/incident data and safety regulation and classification standards of hazards/causes of railway accidents. Therefore in this research, we led types/dangerous events/causes of risks/factors of risks from hazard log developed based on railway accident classification and hazards of railway accident. PHA model for domestic railway system will be used in risk analysis and risk assessment of railway accident.

• Journal of Korean Society for Quality Management
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• v.42 no.3
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• pp.387-406
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• 2014

Purpose: The widespread use of social network services (SNS) has caused users concern about the disclosure of their privacy or personal information. The purpose of this study is to analyze the factors of privacy concern and self presentation that affect the user resistance in the use of social network service. Methods: This study verifies the factors that affecting the user resistance in SNS. The research model suggested in this study is tested via a survey of 260 SNS users. SPSS and Smart PLS had been used to test the suggested hypotheses. Results: This study shows that privacy experience, privacy awareness, self esteem, and social desirability significantly influence perceived risk and that privacy awareness, self esteem, self efficacy, and perceived risk significantly influence perceived trust. It also verifies that perceived risk and perceived trust positively affect user resistance. Conclusion: This paper suggests that high awareness on privacy of SNS user encourages the SNS companies to consider the privacy protection mechanism for eliminating various factors that affecting the risk. This study also shows that the privacy calculus model applies to understanding the mechanism on resistance of SNS user.

• Health Policy and Management
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• v.31 no.2
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• pp.188-196
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• 2021

Background: This study purposed to analyze the relationship between extinction risk regions and amenable mortality. Methods: This was a cross-sectional study based on the statistics of 2018 which was extracted from the 228 administrative districts in Korea. Cause of death statistics on each region in 2018 was used to produce the age-adjusted amenable mortality. Regional characteristics were measured by demographic factors, health behavior factors, socioeconomic factors, and medical resources factors. Multiple linear regression model was applied to test their relationship. Results: Results showed that extinction risk regions, crude divorce rates, national cancer screening rates, and independent rate of finance were significantly related to the amenable mortality. Conclusion: The study demonstrated differences in health status by the extinction risks of regions. This study suggests that the use of customized community care program can provide integrated services such as housing, health care or the use of information and communications technology which can make early diagnosis.

• Journal of Agricultural Extension & Community Development
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• v.23 no.3
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• pp.309-320
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• 2016

This study has systematically classified established the agricultural management risks from the agricultural company's position and analyzed their counterplan situation in order to seek measures to counteract this. The AHP & IPA technique were used as an analysis method concerning the evaluation results. The counterplan situation was deduced through an interview investigation of 112 farmers who produce cabbage, white radish, onion, garlic, chili, and 6 other such items in order to stereotype the risks. If the agricultural companies' management capacity is raised in accordance to the risk counterplan deduced from this study, and the risks of agricultural management activity are avoided ahead of time or counter means are activated, we can anticipate the stabilization of agricultural management.

• Architectural research
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• v.21 no.2
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• pp.49-57
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• 2019

Risk assessment during pre-construction phase is important due to the uncertainty of the risks that may exist in projects. Risk checklist is a method to systematically classify and organize the risks that have been experienced in the past, and to identify the risk factors that may be present in the future projects. In addition, risk value assessment based on checklists plays a key role in risk management, and various risk assessment researches have been conducted to carry out this systematically. However, previous approaches have limitations in common, this is because risk values are evaluated individually in risk checklists, which ignore interdependencies among risk factors and neglect the emergence of co-occurrence of risks. Hence, when multiple risk factors cooccur, they cannot be far off from the conventional method of summing the total risk value to establish the risk response strategy. Most of risk factors are interdependent and may have multiple effects if occurred than expected. In particular, specific cause can be overlapped if multiple risks co-occur, and this may result in overestimation of the risk response for the future project. Thus, the objective of this research is to propose a model to help decision makers to quantify the risk value reflecting the interdependency during the identification phase using existing risk checklist that is currently being practiced in actual construction projects. The proposed model will provide the guideline to support the prediction and identification of the interdependency of risks in practice. In addition, the better understanding and prediction of the exceeding risk response by co-occurring risks during the risk identification phase for decision makers.

• Korean Journal of Health Education and Promotion
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• v.25 no.2
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• pp.1-18
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• 2008

Objectives: The objective of this study is to identify the gender differences of risk factors for falls among the elderly in community dwellings. Methods: We analyzed the data on 3,278(male 1,255, female 2,023) persons, including 497 persons who have experienced falls, drawn from the 2004 National Elderly Survey. We conducted a cross-tabulation analysis, $X^2$-test and hierarchical regression analysis of the impact of the socio-economical characteristics, environmental characteristics, the number of chronic diseases, usage of supplementary devices, activities of daily living, dementia, and the severity of problem behavior. Results: For the entire sample of the elderly, gender, age, the size of the cities of residence, the number of chronic diseases, and the severity of problem behavior were identified as risk factors for falls. The number of chronic diseases and the severity of problem behavior were found to be significant for the male subsample, while age, the size of cities of residence, dwelling types, and the number of chronic diseases were found to be significant for the female subsample. Conclusion: The number of chronic diseases was identified as a common risk factor for falls in the male and female elderly. Chronic diseases were also found to aggravate the risk for falls when they concur with other diseases.

• Journal of Information Technology Applications and Management
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• v.14 no.3
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• pp.95-113
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• 2007

To minimize IT operational risks and the opportunity cost for lost business hours. it is necessary to have preparedness in advance and mitigation activities for minimization of a loss due to the business discontinuity. There are few cases that banks have a policy on systematic management, system recovery and protection activities against system failure. and most developers and system administrators response based on their experience and the instinct. This article focuses on the mitigation model development for minimizing the incidents of disk unit in IT operational risks. The model will be represented by a network model which is composed of the three items as following: (1) the risk factors(causes, attributes and indicators) of IT operational risk. (2) a periodic time interval through an analysis of historical data. (3) an index or an operational regulations related to the examination of causes of an operational risk. This article will be helpful when enterprise needs to hierarchically analyze risk factors from various fields of IT(information security, information telecommunication, web application servers and so on) and develop a mitigation model. and it will also contribute to the reduction of operational risks on information systems.