• 한국안전학회지
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• 제29권3호
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• pp.98-106
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• 2014

This study proposes severity analysis for pedestrian accidents by improving variables which were used for general severity analysis. The existing variables were collected based on the interviews with policeman or witnesses and evidence of accidents. Therefore, existing variables were subjective and had several measurement errors. In order to improve such problems, this study collected variables from vehicle recorder of taxi which recorded the moment of accidents. As a result, explanatory power of independent variables was enhanced and the complete objective variables could be collected. After collecting variables, ordered probit model was developed by utilizing vehicle recorder database. Fitness of ordered probit model was 0.23. Vehicle speed and pedestrian's eye direction variables were the most critical factors for severity of pedestrian accident. In addition, severity analysis for vulnerable pedestrian was carried out. As a result, it was revealed that vehicle speed, pedestrian's eye direction and safety zone variables affected the severity of pedestrian accidents most. Particularly, vehicle speed variable is the most important factor. Consequently, driver's defensive driving and compliance to the regulations are the priority to reduce severity of pedestrian accidents and prevent pedestrian accident.

• 동의생리병리학회지
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• 제20권1호
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• pp.235-244
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• 2006

There is much confusion in the field of Rhinitis regarding how to best measure disease severity objectively, Therefore, we aimed to establish a new adequate scoring system for Rhinitis, that should be based on comparison analysis of various scoring systems. We report as follows. We researched for data relating to severity scoring systems for rhinitis in Entrez PubMed from 1995 to 2005 and in Kiss Kstudy. Results and Conclusions: Properties of severity scoring systems were validity, sensitivity of change and ease of use. The essential items of severity scoring systems were subjective symptoms. The criterion of severity were divided into subjective symptoms and complication and Quality of Life. Intensity items are nasal obstruction, rhinorrhea, sneezing, itching, Postnasal drip, nasal mucosa swelling, nasal mucosa color, complication. Subjective symptoms is difficulty of Life. The significant items of severity scoring system are nasal symptoms. The whole score does with the maximum 30 scores. As it were, we assumed nasal symptoms accounted for around 80% of each total score, with complication and difficulty of Life representing 20%.

• 한국병원경영학회지
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• 제19권4호
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• pp.21-33
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• 2014

This study was conducted to propose an insight into the appropriateness of hospital length of stay(LOS) by developing a severity-adjusted LOS model for patients with pneumonia, organism unspecified. The pneumonia risk-adjustment model developed in this paper is based upon the 2006-2010 the Korean National Hospital Discharge in-depth Injury Survey. Decision tree analysis revealed that age, admission type, insurance type, and the presence of additional disorders(pleural effusion, respiratory failure, sepsis, congestive heart failure etc.) were major factors affecting the severity-adjusted model using the Clinical Classifications Software(CCS). Also there was a difference in LOS among the regional hospitals, especially the hospital LOS has not been efficiently managed in Gyeongsangbuk-do, Jeollanam-do, Jeollabuk-do, Daejeon, and Busan. To appropriately manage hospital LOS, reliable statistical information about severity-adjusted LOS should be generated on a national level to make sure that hospitals voluntarily reduce excessive LOS and manage main causes of delayed discharge.

• 한국정밀공학회지
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• 제24권1호
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• pp.37-46
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• 2007

The vibration environment essentially companied by vehicle operation on the ground is determined by the shape of road surface, which is called profile. This paper focuses on development of a profile and severity measurement system for unpaved test courses. In general, the profile and severity of unpaved road is an important issue in the reliability of endurance test. In order to measure unpaved road profile and severity, it is necessary to develop a profilometer system. The developed profilometer system is composed of data processing computer, power unit, air compressor and sensors(encoder, vertical gyro and laser displacement) This paper presents the measuring system configuration, measurement principle of road profile and analysis method of road characteristics used at CPG(Changwon Proving Ground) for this purpose.

• 대한한의학회지
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• 제21권3호
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• pp.51-56
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• 2000

To assess the relationship between the severity of stenosis in MCA territory and the differentiation of syndromes in oriental medical aspects, the general characteristics, the scores of stroke-pattern identification, and the findings of MRA were compared in 18 acute cerebral infarction patientshospitalized in Dept. of Internal Medicine, Pundang CHA Oriental Medicine Hospital from 1998 sep. 1 to 1999 sep. 31. We compared the scores of stroke-pattern identification with the severity of stenosis by Kruskall-Wallis test, and analyzed the relationship by Pearson correlation test. The P value under 0.05 was regarded as significant. The results are as follows: The incidence of stenosis(mild to complete occlusion) was 83.3%. There were significant difference of the mean scores according to the severity of stenosis in Yin deficiency pattern. We could also observe a strong relationship between the severity of stenosis and Yin deficiency pattern, whose Pearson correlation coefficient was 0.655 (P<0.05). These results showed that Yin deficiency pattern could be a major cause of cerebral infarction.

• 한국도로학회논문집
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• 제17권6호
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• pp.85-95
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• 2015

PURPOSES : The objective of this study is to analyze factors affecting traffic accident severity for determining countermeasures on freeway climbing lanes. METHODS : In this study, an ordered probit model, which is a widely used discrete choice model for categorizing crash severity, was employed. RESULTS : Results suggest that factors affecting traffic accident severity on climbing lanes include speed, drowsy driving, grade of uphill 3%, gender (male offender and male victim), and cloud weather. CONCLUSIONS : Several countermeasures are proposed for improving traffic safety on freeway climbing lanes based on the analysis of crash severity. More extensive analysis with a larger data set and various modeling techniques are required for generalizing the results.

• 한국컴퓨터정보학회논문지
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• 제21권4호
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• pp.73-80
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• 2016

Most fault prediction models have class imbalance problems because training data usually contains much more non-fault class modules than fault class ones. This imbalanced distribution makes it difficult for the models to learn the minor class module data. Data imbalance is much higher when severity-based fault prediction is used. This is because high severity fault modules is a smaller subset of the fault modules. In this paper, we propose severity-based models to solve these problems using the three sampling methods, Resample, SpreadSubSample and SMOTE. Empirical results show that Resample method has typical over-fit problems, and SpreadSubSample method cannot enhance the prediction performance of the models. Unlike two methods, SMOTE method shows good performance in terms of AUC and FNR values. Especially J48 decision tree model using SMOTE outperforms other prediction models.

• 한국군사과학기술학회지
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• 제12권2호
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• pp.248-257
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• 2009

The aim of this paper is to propose fighter aircraft's mission severity model which can be used as one of key factors for designing a structure and determining design life of KF-X. The mission severity is a quantitative data of flight loads and expressed by Nz(Vertical Load Factor) exceedances or occurrences. The severities of the flight loads depended on the circumstances of the countries which operate fighter aircraft. In this paper we have studied on Nz occurrences/exceedances of ROKAF fighter aircraft to generate mission severity model for the KF-X. The analyses of flight data were accomplished by using the Matlab.

• 한국정밀공학회지
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• 제24권2호
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• pp.47-57
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• 2007

The vibration environment essentially companied by vehicle operation on the road is determined by the shape of road surface, which is called profile. In general, the profile and severity of unpaved road is an important issue in the reliability of durability test for vehicles. In order to maintain severity of unpaved road, it is necessary to develop profilometer system. We developed profilometer system which is composed of data processing computer, power unit, air compressor and sensors. This paper focuses on the severity management of unpaved test courses using neural networks. This paper presents the maintenance range for cross-country course in CPG(Chang-won Proving Ground) and the evaluation of similarity degree between unpaved roads.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2011년도 제43차 동계학술발표논문집 19권1호
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• pp.81-84
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• 2011

본 논문은 전압 이벤트 현상 중 순간전압강하(Sag) 현상에 초점을 맞추었다. Sag 현상의 심각한 정도를 표현하는 심각도(Voltage Sag Severity) 지수는 동일 지속시간에 대한 임계치와의 비로 표현하였다. 제안하는 확장된 심각도(Expanded Severity) 지수는 sag현상의 분포에 따른 일시반복성의 정보를 표현하였다. 기존의 임계치를 표현하는 ITIC curve를 기반으로 된 심각도와 sag 현상이 발생하는 지속시간-전압 그래프의 분포를 fuzzy clustering을 통하여 medoid를 측정하고, medoid의 심각도와 실제 임계치에 근접한 sag 지점의 심각도를 계산하여 비교하였다. 확장된 심각도 지수는 심각도가 높은 현상들과의 연계성을 나타내는 지수로 심각한 정도의 수치 정보 이외에 일시적인 현상인지 지속 반복적인 현상인지를 0과 1사이의 수치로 표현하였고, 실험을 통하여 입증하였다.