• Journal of Auto-vehicle Safety Association
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• v.10 no.2
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• pp.13-19
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• 2018

The purpose of this study was to evaluate the effect of air bag deployment in passenger car head-on collisions on injuries to the driver. The drivers in head-on collisions who were brought to the emergency rooms of two hospitals from January 2011 and October 2014 were evaluated, as were the vehicles involved. The driver injury level were assessed by utilizing Collision Deformation Classification (CDC) codes, and the Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS), respectively. In this study, it was shown that the chest ISS and AIS were significantly high when an air bag only is deployed. A statistically significant difference was found in the crush extent when the driver who fastened the seatbelt was found to be affected more than the ISS 9. Even when an air bag is deployed in a head-on car collision, injury severity can vary according to accident circumstances and crash severity. Accordingly, first aid can be rapidly given, and the injured person can be quickly referred to a hospital, only if the assessment of persons involved in a vehicle accident is accurately carried out.

• Smart Structures and Systems
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• v.19 no.2
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• pp.195-202
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• 2017

The aim of this paper is to develop a novel method to determine the severity of a damage in a thin plate. This paper presents a novel fault detection and diagnosis approach employing a new electromagnetic acoustic transducer, called EMAT, together with a complex signal processing method. The method consists in the recognition of a fault that exists within the structure, the fault location, i.e. the identification of the geometric position of damage, and the determining the significance of the damage, which indicates the importance or severity of the defect. The main scientific novelties presented in this paper is: to develop of a new type of electromagnetic acoustic transducer; to incorporate wavelet transforms for signal representation enhancements; to investigate multi-parametric analysis for noise identification and defect classification; to study attenuation curves properties for defect localization improvement; flaw sizing and location algorithm development.

• Journal of The Korean Society of Agricultural Engineers
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• v.50 no.4
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• pp.3-15
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• 2008

North Korea is one of the most vulnerable countries of the world for drought but still it is difficult to find scientific researches for understanding of the drought characteristics. This study analyzed the temporal and spatial distribution of meterological drought severity and classified the drought development types in North Korea. All eleven drought indices were tested such as seasonal rainfall, PDS, SPI and so on, and then drew the drought risk map by each indicator using frequency analysis and GIS(Geographic Information Systems) for twenty one meteorological stations. In addition meteorological drought characteristics in North Korea was classified to six patterns on Si/Gun administrative units using cluster analysis on the drought indicators. The cluster III has the strongly drought-resistant area due to sufficient rainfall and the cluster V was considered as the most drought-vulnerable area, Pungsan and Sinpo, because of the severest drought condition for eight drought indicators. The results of this study are expected to be provided for the basic understanding of regionalized drought severity and characteristics confronting the risk of drought from climate variations in North Korea.

• Journal of Auto-vehicle Safety Association
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• v.12 no.2
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• pp.40-46
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• 2020

Modern traffic accidents are a complex occurrence. Various indicators are needed to analyze traffic accidents. Countries that have been investigating traffic accidents for a long time accumulate various data to analyze traffic accidents. The Korean In-Depth Accident Study (KIDAS) database collected damaged vehicles and severity of injury caused by Collision Deformation Classification code (CDC code), Abbreviated Injury Scale (AIS), and Injury Severity Score (ISS). As a result of the investigation, data relating to the injuries of the occupants can be easily obtained, but it was difficult to analyze human severity based on the information of the damaged vehicle. This study suggests a method to measure the speed change at the time of an accident, which is one of the most important indicators in the vehicle crash database, to help advance KIDAS research.

• Journal of Chest Surgery
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• v.24 no.11
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• pp.1125-1132
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• 1991

Myasthenia gravis is a disorder of neuromuscular transmission which is characterized fatigue and weakness of the voluntary muscle. From 1985. 1 to 1991.6, 34 patients underwent managed including 12 patient thymectomy, at the kyunghee medical center. A clinical analysis was performed and following result was obtained. Among the 34 patients, male to female ratio was 11 : 23 and the age was ranged from 2 years to 63 years. Thymectomy was done in 12 case and 1 case of malignant thymoma was not resectable. There were 2 deaths after operation due to respiratory failure and 1 death dur to gradually progression. THe effect of thymectomy in mtasthenia graves was 66.7% (8cases). The prognostic factors were severity of the disease and histopathological findings. Others were not related to the prognosis of the mayasthenia gravis. The severity of the myasthenia gravis was classified by Osserman modified classification.

• The Korean Journal of Emergency Medical Services
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• v.24 no.1
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• pp.25-36
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• 2020

Purpose: We analyzed the characteristics and differences in patients' medical benefits and health insurance based on disease severity classification. Methods: We examined 29,139 patients who visited the emergency medical center of K Hospital from January 1,2016 to December 31, 2016. Survey items included the Korean Triage and Acuity Scale (KTAS) classification of emergency and non-emergency situations ratio and type of insurance. Results: According to KTAS classification, 76.2% of patients exhibited an emergency condition and 23.8% exhibited a non-emergency condition. Emergency patients exhibited more trauma than non-emergency patients. According to the type of insurance coverage, the duration of stay in the emergency room was longer for patients with medical care than for patients with health insurance. Additionally, 119 ambulances use was significantly higher among patients with medical care. Conclusion: Policy discussions should address alternative ways to replace the 119 ambulances used by patients in this study. Additionally, health care administrators should identify alternative care agencies as potential alternatives to emergency room visits.

• Smart Structures and Systems
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• v.13 no.5
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• pp.849-868
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• 2014

An indirect approach is explored for structural health bridge monitoring allowing for wide, yet cost-effective, bridge stock coverage. The detection capability of the approach is tested in a laboratory setting for three different reversible proxy types of damage scenarios: changes in the support conditions (rotational restraint), additional damping, and an added mass at the midspan. A set of frequency features is used in conjunction with a support vector machine classifier on data measured from a passing vehicle at the wheel and suspension levels, and directly from the bridge structure for comparison. For each type of damage, four levels of severity were explored. The results show that for each damage type, the classification accuracy based on data measured from the passing vehicle is, on average, as good as or better than the classification accuracy based on data measured from the bridge. Classification accuracy showed a steady trend for low (1-1.75 m/s) and high vehicle speeds (2-2.75 m/s), with a decrease of about 7% for the latter. These results show promise towards a highly mobile structural health bridge monitoring system for wide and cost-effective bridge stock coverage.

• Journal of Korea Water Resources Association
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• v.56 no.4
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• pp.261-272
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• 2023

In recent years, natural disasters such as heavy rainfall and typhoons have occurred more frequently, and their severity has increased due to climate change. The Korea Meteorological Administration (KMA) currently uses the same criteria for all regions in Korea for watch and warning based on the maximum cumulative rainfall with durations of 3-hour and 12-hour to reduce damage. However, KMA's criteria do not consider the regional characteristics of damages caused by heavy rainfall and typhoon events. In this regard, it is necessary to develop new criteria considering regional characteristics of damage and cumulative rainfalls in durations, establishing four stages: blue, yellow, orange, and red. A classification model, called DSCM (Disaster Severity Classification Model), for the four-stage disaster severity was developed using four machine learning models (Decision Tree, Support Vector Machine, Random Forest, and XGBoost). This study applied DSCM to local governments of Seoul, Incheon, and Gyeonggi Province province. To develop DSCM, we used data on rainfall, cumulative rainfall, maximum rainfalls for durations of 3-hour and 12-hour, and antecedent rainfall as independent variables, and a 4-class damage scale for heavy rain damage and typhoon damage for each local government as dependent variables. As a result, the Decision Tree model had the highest accuracy with an F1-Score of 0.56. We believe that this developed DSCM can help identify disaster risk at each stage and contribute to reducing damage through efficient disaster management for local governments based on specific events.

• Journal of Trauma and Injury
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• v.28 no.3
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• pp.144-148
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• 2015

Purpose: Immediate identification of vascular injury requiring embolization in patients with pelvic bone fracture isn't an easy task. There have been many trials finding indicators of embolization for patients with pelvic bone fracture. Although Young and Burgess classification is useful in decision making of treatment, it is reported to have little value as indicator of embolization in major trauma patients. The aim of this study is to find out Young and burgess classification on predicting vessel injury by analzyng pelvic radiograph taken from major trauma patients with pelvic bone fracture. Methods: Among major trauma patients with injury severity scores (ISS) higher than 15 who visited our emergency room from January 2011 to June 2014, 200 patients were found with pelvic bone fracture in trauma series and thus pelvic CT angiography was taken. Setting aside patients with exclusion criteria, 153 patients were enrolled in this study for analysis of Young and Burgess classification. Results: The most common mechanism of injury was lateral compression in both groups. There was no statistical significant difference in Young and Burgess classification (p=0.397). The obturator artery was the most commonly injured artery in both groups. Six patients had more than one site of bleeding. Conclusion: Prediction of transcatheter angiographic embolization using Young and Burgess classification in severe trauma patients is difficult and requires additional studies.

• Journal of Korean Critical Care Nursing
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• v.5 no.2
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• pp.61-71
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• 2012

Purpose: The aim of this study was to measure the inter-rater reliability of Emergency severity index (ESI) version 4 among triage nurse. Methods: This study was carried out from August 11, 2010 to September 7, 2010 in a regional emergency department. Data collection was done by ten triage nurses who trained ESI v.4. Two research nurses and ten triage nurses scored the ESI version 4 to the patients as references, independently. We calculated the weighted kappa between the triage nurses and research nurses to evaluate the consistency of the ESI v.4. Results: A total of 233 patients were enrolled in this study. Classification of ESI level was as follows - level 1 (0.4%), level 2 (21.0%), level 3 (67.8%), level 4 (9.4%), and level 5 (1.3%). Inter-rater reliability by weighted kappa was 0.79 (95% Confidence Interval= 0.74-0.83) and agreement rate was 87.1%. Under-triage rate by triage nurse was 6.0% and over-triage rate was 6.9%. Conclusion: For this study, inter-rater reliability was measured good level between triage nurses and research nurses in Korean single ED.