• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.9
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• pp.449-456
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• 2005

The preventive diagnostic technique prevents transformers from power failure through giving alarm and observing transformers in service. And it helps to establish the plan for optimum maintenance of the transformer as well as to find location or cause of fault using accumulated data. Data detection and experience of the preventive diagnostic system need to establish the preventive diagnostic algorithm regarding interrelationship between detected data and deterioration of equipment. Therefore in-depth analysis about the preventive diagnosis system is required. KEPCO has adopted the preventive diagnostic system at nine 345kV substations since 1997. Techniques for component sensors of the preventive diagnosis system were settled but diagnosis algorithm, diagnostic criteria and practical use of accumulated data are not yet established. This paper, to build up the base of preventive diagnostic algorithm for the Power transformer. investigated the preventive diagnostic criteria for the power transformer.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.54 no.2
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• pp.94-100
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• 2005

Abnormal symptoms on operating conditions of power transformer are monitored by a preventive diagnostic system which prevents the sudden power failure in case of quick progress of abnormal situation. The preventive diagnostic system helps plan the proper maintenance method according to the transformer conditions via accumulated data. KEPCO has adopted the preventive diagnostic system at nine of 345kV substations since 1997. Application techniques of the diagnostic sensors were settled, but diagnostic algorithm and practical use of accumulated data are not yet established. To build up the diagnostic algorithm and effective use of the preventive diagnostic system, the reliability of the data which were accumulated in a server computer is very important. This paper describes the data analysis in the server in order to advance the reliability of the accumulated data of the preventive diagnostic system. The principles and data flows of the diagnostic sensors were analyzed, and the data discrepancy between sensors and server were calibrated.

• Journal of Preventive Medicine and Public Health
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• v.30 no.2 s.57
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• pp.428-436
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• 1997

Objectives : The purpose of this paper is to estimate the completeness of the Korean Medical Insurance Data in childhood asthma. Methods : Capture-recapture method was used to estimate the prevalence of childhood asthma and case ascertainment rate(completeness) of Korean Medical Insurance Data using two source model, 'Korean Medical Insurance Committee Data (KMICD)' and 'Nationwide Study of Asthma and Allergies in Korean Children'. The asthma cases were restricted to those who were born from 1981 to 1989 and were identified by their Resident Register Number. Asthma cases in Korean Medical Insurance Data were defined as cases coded by ICD-9 493 and ICD-10 J45. In 'Nationwide Study of Asthma and Allergies in Korean Children', asthma cases were defined as the children who had been diagnosed asthma and had experienced symptoms of asthma during the past 12 months. The defined cases in two data sources were matched by 13 digits Resident Register Number. The numbers of matched patients in two data sources were 245 of 32,825 eligible total subjects. Chapman and Wittes' nearly unbiased estimation was used for capture-recapture analysis of two data sources. Results : Observed prevalence rate of childhood asthma was 5.3% and estimated prevalence rate by capture-recapture analysis was 11.6%. The highest prevalence rate was observed in 6-7 age group and the older the rate decreased. The completeness (the proportion of cases ascertained by KMICD to the total observed cases by two data sources) was 20.6%, and ranged form 10.8% to 28.8% by area. Conclusions : Invalid diagnosis of cases might overestimate the prevalence of child-hood asthma and might underestimate the completeness of Korean Medical Insurance Committee Data in this study.

• Research in Community and Public Health Nursing
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• v.33 no.2
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• pp.196-206
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• 2022

Purpose: The purpose of this study is to identify health belief, subjective norms, social stigma, and sense of community affecting COVID-19 preventive behaviors among college students, and provide basic data for the development of preventive programs to improve COVID-19 preventive behaviors. Methods: This study used a cross-sectional study design. The study recruited a total of 170 college students, through an online survey from three online communities which are mostly used by college students. Data were collected from July 24 to August 9, 2021. The SPSS 21.0 program was used to analyze the data using simple multiple regression. Results: In simple multiple regression, the perceived susceptibility, perceived benefits and subjective norms were found to have a significant association with COVID-19 preventive behaviors of college students. These variables explained the 55.1% variance in COVID-19 preventive behaviors of college students (p<.001). Conclusion: The results of this study showed that the perceived susceptibility, perceived benefits, and subjective norms were significant factors affecting COVID-19 preventive behaviors of college students. Based on the results of this study, it is expected to develop COVID-19 preventive programs and strategies that increase perceived susceptibility, perceived benefits, and subjective norms to improve the COVID-19 preventive behaviors of college students.

• Journal of Korean society of Dental Hygiene
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• v.20 no.5
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• pp.707-716
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• 2020

Objectives: This study aims to provide basic data for high-quality dental services. In addition, we will promote the operation of preventive dentistry that implements preventive measures. It was conducted to study the change of patient's treatment behavior and treatment cost due to the discontinuation of preventive dentistry in university dental hospitals. Methods: This study collected data using the integrated medical information system of the C University Dental Hospital. From September 1, 2017 to August 31, 2019, data were analyzed using frequency, percentage, mean, standard deviation, chi-square test using SPSS version 24.0 statistical program, and T-test. Results: There was a significant difference in the number of preventive dental treatment cases from 58.3% of preventive dental operation periods to 41.7% of preventive dental operation periods. As a result of comparing the medical expenses, the total medical expenses during the preventive dental operation period decreased from 521,308,872 won to 379,724,995 won during the discontinuation period, 141,583,877 won. The number of medical treatments by treatment behavior decreased 3,835 (28.4%) from a total of 13,520 preventive dental operation periods to 9,685. Conclusions: This study is meaningful as the first study to confirm the change in the treatment behavior and the change in the cost of treatment due to the discontinuation of the operation of preventive dentistry at university dental hospitals. In conclusion, it is thought that there is a possibility of the lack of accessibility and the limitation of professional preventive care due to the discontinuation of preventive dentistry.

• Journal of Society of Preventive Korean Medicine
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• v.20 no.1
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• pp.29-42
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• 2016

Objectives : The aim of this study is to review studies that utilized domestic secondary data in Traditional Korean Medicine (TKM). Methods : We identified variables and values related to TKM of 24 secondary data sources, and searched studies from 6 databases (PubMed, RISS, KISS, NDSL, KMBASE, OASIS). Results : There were 13 secondary data sources including variables and values related TKM, and 23 articles were included in this study. Conclusions : It is necessary to develop high-quality secondary data sources that are suitable to TKM system in accordance with national policy.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.1
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• pp.29-38
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• 2014

Purpose: This study was done to examine factors affecting cancer preventive behavior in middle-aged people. Method: The research design for this study was a descriptive survey design using convenience sampling. Data collection was done using self-questionnaire with 203 middle-aged people in Seoul and G city. Data were analyzed using t-test, ANOVA, Pearson correlation coefficients and stepwise multiple regression with the SPSS Win 20.0 Program. Results: The mean score of cancer preventive behavior was $3.43{\pm}.14$ out of 5. Cancer preventive behavior showed a significantly positive correlation with knowledge about cancer (r=.24, p<.001). In the multiple regression analysis, gender, perceived health status and knowledge about cancer were significant predictors and explained 14.5% of cancer preventive behaviors. Conclusion: Findings of this study allow a comprehensive understanding of cancer preventive behavior and related factors by middle-aged people. However, further study with a larger random sample from various living environment is necessary.

• The KIPS Transactions:PartA
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• v.16A no.6
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• pp.481-488
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• 2009

GIS is used to isolate large power electrical equipment using SF6 gas. While GIS has simple structure, it has few break down, relatively high reliability. But it is hard to check up faults for reason of pressure. Faults of GIS should have a ripple effect on community and be hard to recovery. Consequently, GIS imports a preventive diagnostic system to find internal faults in advance. It is most important that reliability on the GIS preventive diagnostic system, because it estimates abnormality of system by analysis result of collected data. But, exist system which used central data management is low efficiency, and hard to guarantee timeliness and accuracy of data. To guarantee timeliness and accuracy, the GIS preventive diagnostic system needs accordingly to use a real-time middleware. So, in this paper, to improve reliability of the GIS preventive diagnostic system, we use a middleware based on TMO for guaranteeing timeliness of real-time distributed computing. And we propose an improved GIS preventive diagnostic system applying data acquisition, monitoring and control methods based on the TMO model. The presented system uses the Communication Control Unit(CCU) for distributed data handling which is supported by TMO. CCU can improve performance of the GIS preventive diagnostic system by guaranteeing timeliness of data handling process and increasing reliability of data through the TMO middleware. And, it has designed to take full charge of overload on a data acquisition task had been processed in an exist server. So, it could reduce overload of the server and apply distribution environment from now. Therefore, the proposed system can improve performance and reliability of the GIS preventive diagnostic system and contribute to stable operation of GIS.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.227-238
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• 1996

This study was conducted to evaluate the accuracy of the official death registry in rural area. The base data used for the study was 379 deaths registered during the period of 1993 and 1994 in 4 rural townships of Chonnam province. The interview survey for cause-of-death was performed on the next of kin and/or neighbor. Additional medical informations were collected from hospitals and medical insurance associations for the purpose of verification. The underlying cause-of-death of 278 cases presumed by the survey was compared to the cause on official death registry. There was a prominent disagreement of cause-of-death between the survey data and the registry data(agreement rate: $38.9\sim44.6%$, according to disease classification method). These results may be caused by extremely low rates of physicians' certification, which were mostly confined to the poisoning and injury. Symptoms, signs, and ill defined conditions on death registry could be classified into circulatory disease(32.3%), neoplasm(21.2%), digestive disease(7.1%), injury and poisoning(7.1%) and so on. These results suggest that careful attention and verification be required on utilization of death registry data in rural area.

• Child Health Nursing Research
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• v.29 no.2
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• pp.149-160
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• 2023

Purpose: Based on the health belief model and theory of planned behavior, this study investigated how age group (adolescence and emerging adulthood) moderated the relative effects of perceived susceptibility, perceived severity, and subjective norms on preventive behavior against coronavirus disease 2019 (COVID-19). Methods: This secondary data analysis utilized data from adolescents (n=272) and emerging adults (n=239). Hierarchical multiple regression analysis was performed to test the moderating effect of age group on the relationships among variables. Results: Higher perceived susceptibility (β=.21, p<.001), perceived severity (β=.14, p=.002), subjective norms (friends) (β=.26, p<.001), subjective norms (parents) (β=.44, p<.001), and subjective norms (schools) (β=.28, p<.001) enhanced COVID-19 preventive behaviors. Moderated regression analysis showed that subjective norms (friends and school) impacted preventive behavior in adolescents more than in emerging adults. Conclusion: Given the need to increase perceived susceptibility and severity among adolescents and emerging adults, these findings provide baseline data for designing effective COVID-19 prevention interventions that consider the developmental characteristics of different age groups. Interventions by health centers at universities can strengthen COVID-19 preventive behavior among emerging adults. As adolescents are influenced by friends, their peer roles must be strengthened to enhance adherence to COVID-19 preventive guidelines.