• 한국학교보건학회지
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• 제29권1호
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• pp.42-52
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• 2016

Purpose: The purpose of this study was to examine effects of school-based alcohol prevention programs on drinking statuses of adolescents. Methods: The findings of this study was based on the data obtained from the '2015 11th Korea Youth Risk Behavior Web-based Survey. The number of study subjects were 68,043. Results: It was figured that 35.6% of the study subjects had experienced school-based alcohol prevention programs within the last 12 months. As the students got older, the chances to participate in the programs decreased (p<.01). For both middle and high school students, current drinking rates for the educated was lower than those of the uneducated students(6.6% vs 8.0%; 22.2% vs 25.9%) and it was statistically significant. A similar pattern was found for high-risk drinking rates. Those educated showed lower rates than the uneducated with statistical significance of p<.001. In addition, the educated had lower problem drinking rate than the uneducated for both middle (p<.05) and high school students (p<.001). The results of logistic regression analysis showed that school-based alcohol prevention programs had statistically significant effect on current drinking status of adolescents (p<.05). However, it had significant effect only on high-risk drinking status of high school students (p<.05) and had no effect on problem drinking. Conclusion: This study addressed effectiveness of school-based adolescent alcohol prevention programs and that it is important to develop means to implement school health education.

• 한국환경과학회지
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• 제29권5호
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• pp.559-573
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• 2020

The purpose of this study analyzed the overview of corrugated cardboasrd manufacturing industry and then provide direction for improvement. The BREF (BAT reference document) is an important reference for licensees and officer, including the best available techniques for the industry and achievable environmental performance, technical characteristics, and economic information. In the corrugated cardboard manufacturing process, wastewater pollutants are generated throughout the production process, and water is used in the dissociation and aging process. Atmospheric emissions are mostly generated by steam production from boilers and incinerators for the dry process. SO₂, NOx, CO₂, CO, HCl, dust, VOC, and odor were common. In the EU-BREF (European union BAT reference documents) BAT for wastewater have taken up a relatively large proportion. Items of water pollutants in wastewater were common in COD, BOD, N, P, SS, and however EU-BREF had different pollutants such as AOX and salt compared to K-BREF. In order to improve the quality of the K-BREF, it is necessary to devise basic data research method and data acqusitiom method. Consideration should be given to additional environmental management techniques that reflect the emissions characteristics of the corrugated cardboard manufacturing process. In addition, further research is needed to develop methodologies for selecting BATs considering environmental and economic feasibility.

• 인터넷정보학회논문지
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• 제21권6호
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• pp.71-79
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• 2020

본 논문에서 우리는 스마트 유모차를 위한 비콘과 스마트 기기 기반 도난 방지 기술을 제안한다. 스마트 유모차는 두 개의 블루투스 기기를 내장한다. 하나의 블루투스는 데이터 상호 교환을 위한 것이며, 또 다른 블루투스는 거리 측정을 위한 비콘으로 사용한다. 즉, 스마트 기기는 데이터 상호 교환 기능으로 근력 보조 레벨 설정, 유모차 수동 잠금과 유모차 정보 제공 등에 사용하며, 비콘 기능을 이용하여 스마트 기기와 유모차의 주기적인 거리를 측정하여 거리가 멀어지는 경우 도난 방지 기능이 동작하게 한다. 우리는 도난 방지 기능의 성능을 높이기 위해 향상된 비콘 거리 측정 기술을 이용한 거리 측정 알고리즘과 도난 방지 알고리즘을 적용하였다. 제안 방법의 효용성을 확인하기 위해 스마트 기기 애플리케이션을 개발하고 스마트 유모차를 제작하여 2가지 거리 측정 실험과 하나의 도난 방지 실험을 하였으며, 그 결과 91.3%의 도난 방지 정확성을 나타냈다. 따라서 제안한 도난 방지 기술은 스마트 유모차에 보다 유용한 기술이 될 것이다.

• Journal of Korean Biological Nursing Science
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• 제23권1호
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• pp.43-54
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• 2021

Purpose: This study aimed to identify the factors influencing infection-related characteristics and patient safety culture on awareness of blood-borne infection prevention between operating room nurses and general ward nurses. Methods: Participants were 198 nurses(operating room nurses 98 and general ward nurses: 100) working at three general hospitals and three university hospitals in three cities. Data were collected using a structured questionnaire from September 11 to October 14, 2020. Data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson's correlation coefficient, and multiple regression with IBM SPSS/WIN 26.0 program. Results: Typically, 39.8% of nurses in the operating room and 24.0% of ward nurses experienced injuries such as needles and sharp instruments used by the patient. The awareness of patient safety culture was identified to be higher for the ward nurses. Factors influencing the awareness of blood-borne infection prevention in operating room nurses were patient safety culture and wearing protective equipment for infection prevention while nursing infected patients. Moreover, the explanatory power of these variables was 19.4%. In general ward nurses, the patient safety culture was identified as a significant predictor, which accounted for 16.5% of awareness of blood-borne infection prevention. Conclusion: To prevent hospital infection, a strategy is needed to improve the level of awareness of blood-borne infection prevention and patient safety culture of operating room nurses. To this end, the difference in infection-related characteristics and influencing factors between the operating room nurses and the general ward nurses should be considered and planned.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2019년도 학술발표회
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• pp.156-156
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• 2019

In this study, a gated recurrent unit (GRU) network is constructed based on a deep neural network (DNN) with the aim of restoring the missing daily flow data in river basins. Lai Chau hydrological station is located upstream of the Da river basin (Vietnam) is selected as the target station for this study. Input data of the model are data on observed daily flow for 24 years from 1961 to 1984 (before Hoa Binh dam was built) at 5 hydrological stations, in which 4 gauge stations in the basin downstream and restoring - target station (Lai Chau). The total available data is divided into sections for different purposes. The data set of 23 years (1961-1983) was employed for training and validation purposes, with corresponding rates of 80% for training and 20% for validation respectively. Another data set of one year (1984) was used for the testing purpose to objectively verify the performance and accuracy of the model. Though only a modest amount of input data is required and furthermore the Lai Chau hydrological station is located upstream of the Da River, the calculated results based on the suggested model are in satisfactory agreement with observed data, the Nash - Sutcliffe efficiency (NSE) is higher than 95%. The finding of this study illustrated the outstanding performance of the GRU network model in recovering the missing flow data at Lai Chau station. As a result, DNN models, as well as GRU network models, have great potential for application within the field of hydrology and hydraulics.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.120-120
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• 2020

Spatial precipitation data is one of the essential components in modeling hydrological problems. The estimation of these data has achieved significant achievements own to the recent advances in remote sensing technology. However, there are still gaps between the satellite-derived rainfall data and observed data due to the significant dependence of rainfall on spatial and temporal characteristics. An effective approach based on the Convolutional Neural Network (CNN) model to correct the satellite-derived rainfall data is proposed in this study. The Mekong River basin, one of the largest river system in the world, was selected as a case study. The two gridded precipitation data sets with a spatial resolution of 0.25 degrees used in the CNN model are APHRODITE (Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation) and PERSIANN-CDR (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks). In particular, PERSIANN-CDR data is exploited as satellite-based precipitation data and APHRODITE data is considered as observed rainfall data. In addition to developing a CNN model to correct the satellite-based rain data, another statistical method based on standard deviations for precipitation bias correction was also mentioned in this study. Estimated results indicate that the CNN model illustrates better performance both in spatial and temporal correlation when compared to the standard deviation method. The finding of this study indicated that the CNN model could produce reliable estimates for the gridded precipitation bias correction problem.

• 한국해양공학회지
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• 제33권6호
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• pp.590-596
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• 2019

Numerous deaths and substantial property damage have occurred recently due to frequent disasters of the highest intensity according to the abnormal climate, which is caused by various problems, such as global warming, all over the world. Such large-scale disasters have become an international issue and have made people aware of the disasters so they can implement disaster-prevention measures. Extensive information on disaster prevention actively has been announced publicly to support the natural disaster reduction measures throughout the world. In Japan, diverse developmental studies on disaster prevention systems, which support hazard map development and flood control activity, have been conducted vigorously to estimate external forces according to design frequencies as well as expected maximum frequencies from a variety of areas, such as rivers, coasts, and ports based on broad disaster prevention data obtained from several huge disasters. However, the current reduction measures alone are not sufficiently effective due to the change of the paradigms of the current disasters. Therefore, in order to obtain the synergy effect of reduction measures, a study of the establishment of an integrated system is required to improve the various disaster prevention technologies and the current disaster prevention system. In order to develop a similar typhoon search system and establish a disaster prevention infrastructure, in this study, techniques will be developed that can be used to forecast typhoons before they strike by using artificial intelligence (AI) technology and offer primary disaster prevention information according to the direction of the typhoon. The main function of this model is to predict the most similar typhoon among the existing typhoons by utilizing the major typhoon information, such as course, central pressure, and speed, before the typhoon directly impacts South Korea. This model is equipped with a combination of AI and DNN forecasts of typhoons that change from moment to moment in order to efficiently forecast a current typhoon based on similar typhoons in the past. Thus, the result of a similar typhoon search showed that the quality of prediction was higher with the grid size of one degree rather than two degrees in latitude and longitude.

• 인터넷정보학회논문지
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• 제19권6호
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• pp.101-112
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• 2018

A lot of manpower and budgets are being used to prevent fires, and only a small portion of the data generated during this process is used for disaster prevention activities. This study develops a prediction model of fire occurrence probability based on data mining in order to more actively use these data for disaster prevention activities. For this purpose, variables for predicting fire occurrence probability of various buildings were selected and data of construction administrative system, national fire information system, and Korea Fire Insurance Association were collected and integrated data set was constructed. After appropriate data cleansing and preprocessing, various data mining methodologies such as artificial neural network, decision trees, SVM, and Naive Bayesian were used to develop a prediction model of the fire occurrence probability of buildings. The most accurate model among the derived models is Linear SVM model which shows 68.42% as experimental data and 63.54% as verification data and it is the best model to predict fire occurrence probability of buildings. As this study develops the prediction model which uses only the set values of the specific ranges, future studies may explore more opportunites to use various setting values not shown in this study.

• Child Health Nursing Research
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• 제9권3호
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• pp.250-258
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• 2003

Purpose: This study was conducted to suggest direction and strategy of safety education proper to elementary school children. Method: The subject of this survey consisted of 313 3rd- 5th grade from 4 elementary schools in Kyungi-Do and Kwangwon-Do. Data were collected from March to May, 2002 using a questionnaire about 「safety education needs」, 「knowledge about injury prevention」, 「attitude about injury prevention. Result: 1. The degree of safety education needs showed averaged 77.50 on the basis of 100 points. 2. The degree of knowledge and attitude about injury prevention showed averaged 72.81 and 81.74 seperately on the basis of 100 points. 3. With the respect to the demographic characteristics, there were stastically significant differences in safety education need according to children's grade(F=8.692, p=.003), sex(t=-2.059, p=.040), family type(t=-2.229, p=.027) and in knowledge & attitude about injury prevention, there statiscally significant difference according to experience of injury prevention education(t=3.058, p=.003; t=5.308, p=.000) each. 4. The level of safety education needs is correlated at signficant level with knowledge and attitude about injury prevention of childrens(r=.166, p=.048; r=.265, p=.001) and between knowledge and attitude about injury prevention, there was significant correlation (r=.427, p=.000). Conclusion: From this results, nurses can plan safety education program appropriate to children's needs, level of knowledge and attitude about injury prevention.

• 지역사회간호학회지
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• 제24권4호
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• pp.398-406
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• 2013

Purpose: The study was conducted to clarify effects of a clonorchiasis prevention education program for clonorchiasis prevention lecturers. Methods: The research adopted a single group pretest-posttest design to see effects of the educational program to prevent Clonorchis sinensis infection. The subjects of this study were 74 clonorchiasis prevention lecturers from primary health care facilities. The pretest was conducted before the clonorchiasis prevention education program and the post test was done after the 2-day program in August, 2011. Descriptive statistics, t-test, and ANOVA were conducted to analyze the data. Results: The confidence level in Clonorchiasis management activities was improved significantly from $4.1{\pm}0.53$ points before the education to $4.4{\pm}0.46$ points after the education (t=-5.117, p<.001). The knowledge level about prevention of Clonorchis sinensis was improved significantly from $16.1{\pm}2.72$ points before the education to $18.3{\pm}1.14$ points after the education (t=-6.629, p<.001). Conclusion: The results suggest that the education program was effective in improving the confidence and knowledge levels in Clonorchiasis management activities for the clonorchiasis prevention lecturers. Based on the results of this study, continuous research on how the increased knowledge and confidence levels of Clonorchis sinensis prevention affect the prevalence of Clonorchis sinensis infection.