• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.198-207
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• 2013

This study was to examine the effects of risk characteristic and risk perception on risk severity of natural disaster. The findings showed that the risk severity of natural disaster were classified into geographical disaster, storm and flood damage, drought damage. Typhoon among storm and flood damage showed high scores on risk severity of natural disaster. Moreover participants showed high scores on unfamiliar, undiscoverable, and unknown by scientific knowledge among risk characteristic of natural disaster. Second, risk characteristic was significantly correlated to risk perception. Third, risk characteristic influenced positively on risk severity of natural disaster. Especially, risk characteristic had great effect on storm and flood damage among natural disaster. Fourth, risk perception influenced positively on risk severity of natural disaster. Especially, risk perception had great effect on storm and flood damage among natural disaster.

• Journal of Digital Convergence
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• v.15 no.7
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• pp.415-424
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• 2017

The purpose of this study was to examine the relationship among public's risk characteristics, risk severity, risk perception and risk acceptability of human stem cell technology. The subjects were 300 Koreans selected. The data were analyzed by the exploratory factor analysis, confirmatory factor analysis, correlation analysis and structural equation modeing analysis. The results were as followed. First, public's risk characteristics on human stem cell technology influenced positively on risk severity. Second, public's risk characteristics on human stem cell technology influenced positively on risk perception. Third, public's risk severity on human stem cell technology influenced positively on risk perception. Fourth, public's risk characteristics on human stem cell technology influenced negatively on risk acceptability. Fifth, public's risk severity on human stem cell technology influenced not significantly on risk acceptability. Sixth, public's risk perception on human stem cell technology influenced not significantly on risk acceptability. These results will contribute to develop the risk communication strategy on the acceptability of human stem cell technology.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.373-388
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• 2016

Purpose: This paper suggests a hierarchical time delay model to evaluate failure risks in FMEA(failure modes and effects analysis). In place of the conventional RPN(risk priority number), a more reasonable and objective risk metric is proposed under hierarchical failure cause structure considering time delay between a failure mode and its causes. Methods: The structure of failure modes and their corresponding causes are analyzed together with the time gaps between occurrences of causes and failures. Assuming the severity of a failure depends on the length of the delayed time for corrective action, a severity model is developed. Using the expected severity, a risk priority metric is defined. Results: For linear and quadratic types of severity, nice forms of expected severity are derived and a meaningful metric for risk evaluation is defined. Conclusion: The suggested REM(risk evaluation metric) provides a more reasonable and objective risk measure than the conventional RPN for FMEA.

• Child Health Nursing Research
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• v.13 no.2
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• pp.136-146
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• 2007

Purpose: The purpose of this study was to develop a tool to assess the severity of illness in high risk newborns. Method: The research design was a methodological study. The tool was developed in 4 stages: first, preliminary items were developed based on a questionnaire about the severity of illness index that was given to 8 health professionals in Neonatal Intensity Care Units (NICU) second, a panel of specialists reduced the preliminary items using 3 validity tests; third, final items were selected from the results of a pre-test. Finally, from July 2005 to May 2006, reliability and validity were tested with a sample of 160 high risk newborns admitted to the NICU. Results: The final tool to identify the severity of illness index in high risk newborns consisted 39 items and Cronbach's alpha coefficient for internal consistency was .922. Using factor analysis, 4 factors were extracted and these factors explained 54.451% of the total variance. Conclusion: The instrument for assessing the severity of illness in high risk newborns developed in this study was identified as a tool with a high degree of reliability and validity. In this sense, this tool can be effectively utilized for assessing and implementing care for high risk newborns.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.3
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• pp.217-223
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• 2017

In order to assess risk as a basic step for securing safety, it requires to select risk factors and determine the frequency and the severity of the consequence of each risk factor. This research adopted common risk factors among well-known maritime risk assessment models, and proposed objective criteria to gauge the risk level of each risk factor. The starting points of risk evolution were chosen for criteria according to related studies and seafarers' experience. The rate of risk appearance over the criteria is named as the incidence of risk factor. Therefore, the total risk level is expressed as the combination of incidence of each risk factor and severity. This quantitative method would be applied to measuring and comparing the risk level of target maritime zones, and it would also be useful to survey which risk factor be focused for reducing the total risk of a certain maritime zone.

• Journal of the Korean Society of Safety
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• v.34 no.2
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• pp.1-6
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• 2019

This study focuses on the evaluation of severity measures used for accidents associated with industrial machines and devices. In particular, duration of medical treatment, duration of work loss, number of deaths in an individual accident associated with industrial machines and devices are evaluated in various ways to assess the severity of the accident. The number of accidents with work loss of longer than 1 year as the severity measure and the number of accidents as the frequency measure appeared to be the most discriminating information and allow risk assessment based on these frequency and severity measures for grouping of industrial machines and devices. Results of such risk assessment further confirmed the re-classification of industrial machines and devices that are currently subject to safety certification (SC) and self-declaration of conformity (SDC) or selection of those machines and devices that are newly subject to SC and SDC.

• Journal of the Korean Society of Safety
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• v.31 no.1
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• pp.1-6
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• 2016

Severity and frequency of industrial accidents are typically used to assess the "absolute" risk associated with the industrial machines and devices ("items") which are subject to safety certification or self-declaration of conformity. However, the "relative" risk associated with a particular item can further be assessed based on unit severity and unit frequency where the total number of item in use is taken into account. This study first attempts to estimate the total number of each item in use which was recently selected for safety certification or self-declaration of conformity. The appropriateness of such selection is recapitulated based on the relative risk involved. Analysis results indicate that depending on items, the relative risk is differentiated from the absolute risk. Recent selection of items for safety certification or self-declaration of conformity is then revisited for its validity. The relative risk based on unit severity and unit frequency of industrial accidents, together with the absolute risk, may be used to further categorize items for safety certification or self-declaration of conformity in the future.

• Journal of the Korean Society of Safety
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• v.31 no.4
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• pp.136-142
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• 2016

The FMEA is a widely used technique to pre-evaluate and avoid risks due to potential failures for developing an improved design. The conventional FMEA does not consider the possible time gap between occurrence and detection of failure cause. When a failure cause is detected and corrected before the failure itself occurs, there will be no other effect except the correction cost. But, if its cause is detected after the failure actually occurs, its effects will become more severe depending on the duration of the uncorrected failure. Taking this situation into account, a risk metric is developed as an alternative to the RPN of the conventional FMEA. The severity of a failure effect is first modeled as linear and quadratic severity functions of undetected failure time duration. Assuming exponential probability distribution for occurrence and detection time of failures and causes, the expected severity is derived for each failure cause. A new risk metric REM is defined as the product of a failure cause occurrence rate and the expected severity of its corresponding failure. A numerical example and some discussions are provided for illustration.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.567-574
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• 2018

Risk management is a method to 1) identify risks that can adversely affect the cost, schedule, and target achievement performance of a system development project, and 2) manage the identified risks based on the severity and likelihood assigned to each risk item. Risk management is applicable to various fields, since it can manage the cost/schedule and effectively guides accomplishing the target performance by identifying and managing the risks in advance, which necessitates many concurrent studies. This paper proposes a procedure to estimate the severity value for a risk item using a Kalman filter. It is assumed that the severity can be expressed as an equation consisting of cost/schedule loss during the risk event. A linear Kalman filter is used to reduce the error between the true and estimated values, which can eventually save resources spent on the risk management procedure. A simulation test case was conducted to demonstrate the validity of the proposed method.

• Journal of Korean Neurosurgical Society
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• v.64 no.4
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• pp.543-551
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• 2021

Objective : Hemorrhagic stroke (HS) and hypertensive retinopathy are known end organ damage of the brain and eye respectively, with HS having deleterious consequence to the patients. This study is to correlate between hypertensive retinopathy and HS in hypertensive disease. Methods : A control group of hypertensive patients only, and an investigated group of hypertensive HS patients. Fundoscopic examination to determine the grade of retinopathy was performed and then divided into low or high severity hypertensive retinopathy. Clinical and radiological parameter included are demography, vital signs, Glasgow coma scale (GCS) on admission, clot volume, site of clot, Intracerebral hemorrhage (ICH) score and Glasgow outcome scale (GOS). Data were correlated with the severity of hypertensive retinopathy. Results : Fifty patient in the control group and 51 patients in the investigated group were recruited. In the hypertensive HS group, 21 had low severity retinopathy (no or mild retinopathy) accounting for 41.2% and 30 patients had high severity (moderate or severe retinopathy). In the hypertensive patients 49 had low severity and one had high severity (p-value of 0.001). In HS group low severity showed better GCS score of 9-15 on admission (p-value of 0.003), clot volume less than 30 mL (p-value 0.001), and also a better 30 days mortality rate by using the ICH score (p-value 0.006), GOS score of 4 and 5 the low severity retinopathy fair better than the high severity retinopathy (p-value of 0.001), and the relative risk to develop HS in low severity and high severity retinopathy was 0.42 and 29.4, respectively. Conclusion : Hypertensive retinopathy screening could be used as an indicator in hypertensive patient, to evaluate the risk of developing hypertensive HS in the future.