• 한국보건간호학회지
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• 제37권2호
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• pp.179-192
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• 2023

Purpose: This study aimed to examine the injury prevention behaviors of school-age children using the Theory of Planned Behavior (TPB) and sought to identify the associated factors. Methods: A sample of 199 students in Grades 3 to 6 and their parents participated in the study. Measures were used to assess injury prevention behaviors, intentions, and parental influence. The data were analyzed using logistic regression analysis. Results: The findings showed that a stronger intention toward injury prevention behavior, living in an urban area, and higher involvement of parent's to prevent injuries were significantly associated with higher levels of injury prevention behaviors among the children. Conclusion: This study highlights the importance of intention, parental influence, and urban residence in promoting injury prevention behaviors among school-age children. The findings suggest the need for tailored interventions targeting these factors to promote prevention of injuries among children. Further research is needed to develop comprehensive strategies to prevent injuries in this population.

• 대한통합의학회지
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• 제11권4호
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• pp.17-25
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• 2023

Purpose: This study aimed to examine the effectiveness of a suicide prevention education program called "Life Talk Talk" among middle and high school students in D City. Methods: The educational content of the "Life Talk Talk" program was compiled through nine rounds of consultations and meetings with suicide prevention experts. Prior to the implementation of the program, consent was obtained from all research participants and their guardians. First , a pilot study was conducted with 100 middle and high school students located in D city, following which the present study was conducted from May to July 2023 with 1,400 middle and high school students in D city. The effects of the program were evaluated by assessing the changes in suicidal ideation, help-providing abilities, and suicide prevention knowledge in the data collected both before and after the education. Statistical analysis included frequency analysis and a paired-sample t-test. Results: The final analysis included 1,380 participants. In the general characteristics,, 1,079 people (78 %) answered "yes" to the question about suicide prevention education experience . The study found a significant decrease in suicidal attitudes (t=-8.92, p<.001) and significant improvements in emotional and cognitive attitudes of participants after the "Life Talk Talk" program . Additionally, all five items related to help-providing abilities (t=-23.83, p<.001) and suicide prevention knowledge (p<.001) showed significant improvement from before the program. Conclusion: The significance of this study lies in demonstrating the effectiveness of the "Life Talk Talk" suicide prevention education program in reducing suicidal attitudes as well as improving help-providing abilities and suicide prevention knowledge. Therefore, to enhance the effectiveness of suicide prevention education, it is essential to regularly implement concise and engaging educational programs that capture the attention of adolescents.

• 대한임상독성학회지
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• 제6권1호
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• pp.16-24
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• 2008

Purpose: There has been no nationwide surveillance survey of poisoning cases in Korea. This study examined the clinical characteristics of poisoning admissions in order to obtain preliminary data for future planning. Methods: This study retrospectively reviewed the data on poisoning admissions of 150 hospitals based on the hospital discharge injury surveillance data of Center for Disease Control and Prevention in Korea from January to December in 2004. The demographic data, poisons used, causes of poisoning, reasons for attempted suicide and mortality rate was investigated according to the age group. The factors associated with mortality were also evaluated. Results: A total 836 patients admitted for poisoning were analyzed. Their mean age was $46.5{\pm}19.5$ years (male 415, female 421). The most frequent age group was the 4th and 5th decades. The most common poisons involved were pesticides (45%) and medications (23%). The majority (64%) involved intentional poisoning except for those in the 1st decade. The most common reason for the attempted suicide was family problems. However, individual disease was the most common reason in those over 60 years. The overall mortality rate was 8.7% (73/836). Pesticides and being elderly (over 65 years old) were strongly correlated with fatality. Conclusion: The incidence of intentional poisoning increases from the 2nd decade making it a preventable injury. "Overall, the incidence of intentional poisoning increases from the 2nd decade". Therefore, there is a need to frame a prevention policy corresponding to each factor related to fatality, such as an elderly population and pesticides.

• Asian Pacific Journal of Cancer Prevention
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• 제15권6호
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• pp.2893-2900
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• 2014

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients' survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach is used to obtain the predictive survival times from the data-based Exponentiated Exponential Model. Markov Chain Monte Carlo method was used to obtain the summary results for predictive inference. Results: The highest number of female breast cancer patients was found in California and the lowest in New Mexico. The majority of them were married. The mean (SD) age at diagnosis (in years) was 60.92 (14.92). The mean (SD) survival time (in months) for female patients was 90.33 (83.10). The Exponentiated Exponential Model found better fits for the female survival times compared to the Exponentiated Weibull Model. The Bayesian method is used to obtain predictive inference for future survival times. Conclusions: The findings with the proposed modeling strategy will assist healthcare researchers and providers to precisely predict future survival estimates as the recent growing challenges of analyzing healthcare data have created new demand for model-based survival estimates. The application of Bayesian will produce precise estimates of future survival times.

• 한국정보통신학회논문지
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• 제22권11호
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• pp.1544-1553
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• 2018

최근 산업 보안 정책에도 불구하고 기업의 내부 정보 유출이 심각하게 증가하여 산업별로 정보 유출 방지 대책을 수립하는 것이 필수적이다. 대부분의 정보 유출은 외부 공격이 아닌 내부자에 의해 이루어지고 있다. 본 논문에서는 이동식 저장매체 및 네트워크를 통한 기밀 파일 유출방지를 위한 실시간 내부 정보 유출 방지 시스템을 구현하였다. 또한, 기업 내의 정보 로그 데이터의 저장 및 분석을 위해 Hadoop 기반 사용자 행동 분석 및 통계시스템을 설계 및 구현하였다. 제안한 시스템은 HDFS에 대량의 데이터를 저장하고 RHive를 사용하여 데이터 처리 기능을 개선함으로써 관리자가 기밀 파일 유출 시도를 인식하고 분석할 수 있도록 하였다. 구현한 시스템은 이동식 데이터 매체와 네트워크를 통해 기업 내부로의 기밀 파일 유출로 인한 피해를 줄이는 데 기여할 수 있을 것으로 사료된다.

• 디지털융복합연구
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• 제15권6호
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• pp.237-247
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• 2017

본 연구에서는 구강건강 예방 인식을 조사하여 이를 일반적인 특성과의 관련성을 파악하고, 구강건강 예방 인식에 영향을 미치는 요인을 분석하여 구강건강 예방의 필요성과 구강건강 예방을 위한 구강보건교육 지침서 작성을 위한 기초자료를 제공하고자 하였다. 2016년 12월부터 약 1개월 동안 서울 및 경기지역에 거주하는 10대 이상 380명의 자료를 수집하여 이 중 응답이 미흡한 19부를 제외한 361(95%)부를 분석하여 다음과 같은 결과를 얻었다. 적합된 회귀모형은 통계적으로 유의하였으며(p<0.001), 모형 설명력은 47.3%로 나타났으며, 선정된 독립변수 중 성별(여성, p<0.05), 연령(50대 이상, p<0.05), 학력(고졸, 대졸이상, p<0.05), 월 평균 수입(300-400만원, p<0.05), 구강건강의 중요도(p<0.001), 구강건강 예방의 필요성에 대한 인식(p<0.001)이 구강건강 예방 인식에 통계적으로 유의한 영향을 미치는 것으로 나타났다. 이상의 결과로 볼 때 구강건강 예방에 대한 인식을 높이기 위해서는 단순한 예방에 대한 지식 습득 보다는 예방에 대한 동기유발 수준에 까지 이를 수 있는 대상자의 특성을 고려한 구강보건 교육 프로그램 개발과 지속적인 교육이 이루어질 수 있는 사회적인 여건이 마련되어야 한다고 사료된다.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2017년도 추계학술발표회
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• pp.124-124
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• 2017

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(C)
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• pp.254-256
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• 2012

스마트폰의 보급이 증가하게 됨에 따라 많은 사람들이 이를 활용하고 있지만 스마트폰 활용에 따른 보안에 대한 인식은 낮다. 기업에서도 스마트폰을 활용한 업무가 증가함에 따라 각 기업의 내부 자료가 외부에 유출될 수 있는 보안 위협이 증가하고 있으며 이를 막기 위하여 Data Loss Prevention(DLP) 기술의 중요성이 커지고 있다. 본 논문에서는 안드로이드 플랫폼 기반의 DLP를 위한 기반 기술이 되는 데이터의 이동을 모니터링 하는 기술을 제안한다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.42-49
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• 2021

As cyber attacks become more intelligent, there is difficulty in detecting advanced attacks in various fields such as industry, defense, and medical care. IPS (Intrusion Prevention System), etc., but the need for centralized integrated management of each security system is increasing. In this paper, we collect big data for intrusion detection and build an intrusion detection platform using deep learning and CNN (Convolutional Neural Networks). In this paper, we design an intelligent big data platform that collects data by observing and analyzing user visit logs and linking with big data. We want to collect big data for intrusion detection and build an intrusion detection platform based on CNN model. In this study, we evaluated the performance of the Intrusion Detection System (IDS) using the KDD99 dataset developed by DARPA in 1998, and the actual attack categories were tested with KDD99's DoS, U2R, and R2L using four probing methods.

• International journal of advanced smart convergence
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• 제11권1호
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• pp.127-133
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• 2022

This study aims to find out the associative relationship between dementia and comorbidities. To conduct this study, we used KNHDIS(Korea National Hospital Discharge In-depth Injury Survey) data from 2009 to 2018 provided by the KDCA(Korean Disease Control and Prevention Agency) annually. We used MySQL for data preprocessing and R for data analysis. As a result of applying the Apriori algorithm criteria of support(≥0.01), confidence(≥ 0.6), and lift(>1), seventeen rules related to dementia were discovered. The diseases associated with dementia were diabetes mellitus, hypertension, disorders of lipoprotein metabolism, glomerular disorders in diabetes mellitus, renal diseases, cardiovascular disease, cerebrovascular disease, and other urinary system disorders. This study can be utilized as primary data for the care of patients with dementia and provides implications for improving effective dementia prevention policies.