• 한국안전학회지
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• 제13권4호
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• pp.221-229
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• 1998

This study, with a view point to prevent accidents arising from steel structure, construction process, has taken an approach of reviewing related materials and construction safety guidelines, conducting questionnaire surveys and on field surveys. This study has also analyzed and classified accident cases and disclosed elements concerned with those accidents. A comparative analysis of the disclosed elements against the statutory provisions regarding industrial safety and it showed that strict observance of safety rules of the accident prevention measures in industrial safety standards will result in a decrease in accidents. It is concluded, however, that additional accident prevention measures, as suggested below, should be implemented for performing of more practical and positive accident prevention. 1) Thorough review and preparation at pre-working stage at sites : Such elements of fall preventing facilely as supporting ropes and steel fabrications for safety guard rails should be initially reflected on detailed drawings and shop drawings so that they can be installed in advance at fabricating plants. 2) Sets of steel frame stairs for work platform should be installed or secured with priority and temporary installation of such prefabricated platform as scaffolds should be installed in advance with those platform attached to the frame members on the ground whenever possible before they are lifted. 3) A decrease in the rate of accident by more than 10% on Tuesdays and Thursdays, has been shown from the accident analysis so schedule of construction process should consider possible weekday of high risk of accidents such as Tuesday and Thursday. 4) An array of systemized safety activities should be adopted, such as legal installation of safety facilities based on advance safety management plan, maintenance of safety for machinery and construction equipment, and strict compliance of safety rules by workers.

• 한국안전학회지
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• 제37권6호
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• pp.40-49
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• 2022

Simple statistical frequency based analysis, such as Pareto analysis, are widely used in conventional accident analysis. However, due to the dynamic and complex nature of construction works, many factors can simultaneously affect or involve the occurrence of accidents in construction projects. Therefore, the identification of the complex relationship between such factors is important to establish relevant and effective safety management policies and/or programs. In this study, characteristic factors and their relationships' contribution to non-fatal accidents in construction projects are analyzed using the association rule mining (ARM) technique. To this end, a total of 59,202 construction accident data are collected from 2015 to 2019 and the ARM is performed to retrieve specific relationships -named as association rules-among classified factors in the data. Characteristics of the retrieved relationships are analyzed and compared with the results of conventional Pareto analysis. Based on the results, it is found that both fall and trip are notable accident forms having characteristic relations with other factors for non-fatal accidents in construction projects. It is also found that small-scale construction, age of 50s, less than 1 month of working period, and architectural construction are important factors for non-fatal accidents in construction projects.

• 기본간호학회지
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• 제25권4호
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• pp.269-281
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• 2018

Purpose: The purpose of this study was to build a model to predict the fall prevention behavior of nurses in small and medium sized hospitals. Methods: Participants were 382 nurses from 13 hospitals who responded to the structured self-reported questionnaire. The research model was based on previous study of fall prevention, theory of planned behavior, and the health belief model. Results: The modified model generally showed higher levels than recommended level of model fit indices and acceptable explanation. Of 17 hypothetical paths, 14 were supported. Predicting variables explained 51.6% of fall prevention behavior. The fall prevention behavior of nurses showed a direct influence of fall prevention expectations, fall prevent threats, perceived behavioral control for fall prevention, and intention to prevent falls and an indirect of influence of patient safety culture, attitude toward fall prevention, and the subjective norm. Conclusion: Findings show a need to identify a range of barrier factors to increase the benefits of fall prevention behavior and enhance the perceived control of fall prevention so that nurses will be able to promote fall prevention behavior in hospitals. Also, it is critical to increase awareness of patient safety culture among nurses.

• 근관절건강학회지
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• 제26권1호
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• pp.54-61
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• 2019

Purpose: This study was performed to identify nursing students' fall prevention activities, health beliefs of falling and factors associated with fall prevention activities among nursing students. Methods: 149 nursing students from a university completed self-administered questionnaires including participants' characteristics, fall prevention activities, and health belief of falling. Hierarchical multiple regression analysis was used to determine significant independent factors of fall prevention activities. Results: The score for fall prevention activities was $62.40{\pm}9.78$, which was relatively high. The regression model had an adjusted $R^2$ of .16, which indicated that perceived susceptibility was a factor affecting fall prevention activities of nursing students. Conclusion: To increase perceived susceptibility, repetitive fall prevention education including various examples of falls could help nursing students to promote fall prevention activities. Nursing faculty should develop contents to increase recognition of obligation and responsibility regarding fall prevention in curriculum for nursing students.

• 융합신호처리학회논문지
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• 제23권3호
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• pp.150-159
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• 2022

본 논문은 실시간 영상 분석을 통해서 산업현장에서 활동하는 여러 근로자의 영상 객체를 추출해 내고, 추출된 이미지로 부터 개별 영상 분석을 통해 헬멧의 착용 여부와 낙상 사고 여부를 확인하는 방법을 구현한다. 근로자의 영상 객체를 탐지하기 위해서 딥러닝 기반 컴퓨터 비전 모델인 YOLO를 사용하였으며, 추출된 이미지를 이용하여 헬멧의 착용여부를 판단하기 위해 따로 5,000장의 다양한 헬멧 학습 데이터 이미지를 만들어서 사용하였다. 또한, 낙상사고 여부를 판단하기 위해서 Mediapipe의 Pose 실시간 신체추적 알고리즘을 사용하여 머리의 위치를 확인하고 움직이는 속도를 계산하여 쓰러짐 여부를 판단하였다. 결과에 신뢰성을 주기위한 방법으로 YOLO의 바운딩 박스의 크기를 구하여 객체의 자세를 유추하는 방법을 추가하고 구현하였다. 최종적으로 관리자에게 알림 서비스를 위하여 텔레그램 API Bot과 Firebase DB 서버를 구현하였다.

• Journal of Chest Surgery
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• 제26권12호
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• pp.944-949
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• 1993

Clinical analysis were performed on 247 cases of thoracic trauma, those were admitted & treated at the department of thoracic & cardiovascular surgery,Hanyang University Hospital during the period from Jan,1989 to June,1992. Age distribution of those was from 2 to 80 years old & mean age was 38 years old. The ratio of male to female patient was 186:61 [3:1].This ratio revealed high incidence in male patient. The most common cause of trauma was traffic accident in this series.The modes of injury were as follows: traffic accident 124 cases[50.2%],fall down 52 cases[21.05%], stab wound 47 cases[19.03%] and gun-shut wound 1 case.Ellapse time from accident to admission were 141 cases [57.09%] under 6 hr.Rib fracture were observed in 159 cases[64.37%], hemo or pneumothorax were observed 134 cases[54.25%] of total cases and location distributed Right:Left:Both[74:112:37], in left predominant. Conservative,non-operative treatment were performed in 128 cases and operation[open thoracotomy] 32 cases.Mortality was 1.6%[4 cases] & most common cause of death were due to irreversible shock with brain edema. Conclusively, more evaluation & co-operation of other department were expected treatment & better prognosis.

• 한국정밀공학회지
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• 제27권11호
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• pp.78-83
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• 2010

Since a tower crane is too high for a worker to ascend and by the wind in the high altitude, the possibility of a safety accident is very high, a lift assist is used. In this study, the hydraulic fall prevention device using the pressure generation device by Seok, et al. was developed. For this, the effects on the fall prevention performances of factors such as gear clearance, oil viscosity, rotative velocity and so on were evaluated by the analysis of fluid flow using FEM and the prototype was producted and a function test was performed.

• Child Health Nursing Research
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• 제29권4호
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• pp.252-259
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• 2023

Purpose: Falls are a common cause of unintentional injuries in infants. This study was conducted to examine the patterns of healthcare utilization following infant falls in South Korea. Methods: This cross-sectional descriptive study utilized an online survey designed to gather information regarding the general characteristics of parents and infants, fall-related variables, and healthcare use. Results: The most serious falls identified by parents occurred at an average infant age of 6.97 months. Most fall incidents took place indoors (95.7%), and many occurred under the supervision of caregivers (68.0%). Following the fall, 36.4% of the participants used healthcare services. Logistic regression analysis revealed that healthcare use following an infant fall was significantly associated with being a firstborn child (odds ratio [OR]=5.32, 95% confidence interval [CI], 2.19-15.28) and falling from a caregiver's arms (OR=4.22; 95% CI, 1.45-13.68). Conclusion: To prevent and decrease the frequency of infant falls, improvements are needed in both the domestic environment and parenting approaches.

• ETRI Journal
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• 제44권4호
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• pp.654-671
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• 2022

Accidental falls frequently occur during activities of daily living. Although many studies have proposed various accident detection methods, no high-performance accident detection system is available. In this study, we propose a method for integrating data and accident detection algorithms presented in existing studies, collect new data (from two stunt performers and 15 people over age 60) using a developed wearable device, demonstrate new features and related accident detection algorithms, and analyze the performance of the proposed method against existing methods. Comparative analysis results show that the newly defined features extracted reflect more important risk factors than those used in existing studies. Further, although the traditional algorithms applied to integrated data achieved an accuracy (AC) of 79.5% and a false positive rate (FPR) of 19.4%, the proposed accident detection algorithms achieved 97.8% AC and 2.9% FPR. The high AC and low FPR for accidental falls indicate that the proposed method exhibits a considerable advancement toward developing a commercial accident detection system.

• 간호행정학회지
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• 제20권2호
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• pp.176-186
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• 2014

Purpose: The purpose of this study was to analyze factors affecting fall prevention activities of emergency room (ER) nurses based on their health belief factors (perceived susceptibility, perceived benefits, perceived severity, perceived barriers, and cues to action). Methods: The study design was a descriptive survey using questionnaires which were given to 127 emergency room nurses from two regional emergency medical centers, four local emergency medical centers, and two local emergency medical facilities. Data were analyzed using descriptive analysis, t-test, one-way ANOVA with LSD test, Pearson correlation, and multiple regressions. Results: ER nurses' fall prevention activities had a mean of $3.78{\pm}0.50$. Eight individual characteristics and health belief factors accounted for 30.8% of the fall prevention activities. Fall prevention activities were found to be positively affected by emergency medical facilities, perceived benefits, and cues to action and negatively affected by factors, such as ER career and perceived severity. Conclusion: The results indicate that it is necessary to formulate a plan for enhancing perceived benefits and cues to action to improve fall prevention activities. In addition, fall prevention activities should be encouraged for ER nurses who have worked in local medical institutions for less than 1 year or more than 5 years.