• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.2488-2491
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• 2000

A Neural network is possible to nonlinear function mapping and parallel processing. Therefore It has been developing for a Diagnosis system of nuclear plower plant. In general Neural Networks is a static mapping but Dynamic Neural Network(DNN) is dynamic mapping. When a fault occur in system, a state of system is changed with transient state. Because of a previous state signal is considered as a information. DNN is better suited for diagnosis systems than static neural network. But a DNN has many weights, so a real time implementation of diagnosis system is in need of a rapid network architecture. This paper presents a algorithm for RCP monitoring Alarm diagnosis system using Self Dynamic Neural Network(SDNN). SDNN has considerably fewer weights than a general DNN. Since there is no interlink among the hidden layer. The effectiveness of Alarm diagnosis system using the proposed algorithm is demonstrated by applying to RCP monitoring in Nuclear power plant.

• Perspectives in Nursing Science
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• 제9권2호
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• pp.94-101
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• 2012

Purpose: The purpose of this study was to examine the relationship between glucose control, diabetes self-care and depression in community dwelling older adults with type 2 diabetes mellitus. Methods: The cross-sectional survey data of 148 older adults at a senior center were analyzed in this study. We collected data on diabetes self-care, depression, and demographics by face-to-face interviews. Blood samples for HbA1C were obtained from the participants. Results: The average duration of diabetes for the participants was $10.6{\pm}9.31$ years. Fifty percent of the participants had HbA1c higher than 7.0% (mean 7.179%). The level of diabetes self-care was related to depression (r=-.225, p<.01). HbA1c was positively related with the duration of diabetes diagnosis (r=.224, p<.01). The only sub-dimension of diabetes self-care that was related to depression was exercise (r=-.307, p<.01). Conclusion: Only half of the community dwelling older adults with type 2 diabetes had an optimal level of diabetes control. Supported by the evidence, the longer the duration of diabetes since the initial diagnosis, the poorer the glucose control was. Identification and intervention for depression in people with diabetes should be considered to improve diabetes self-care, especially to perform more exercise.

• 대한치위생과학회지
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• 제4권2호
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• pp.89-98
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• 2021

Background: To analyze the effect of self-regulation on the fear of dental treatment in order to use it as basic data for efficient oral health care among male adolescents. Methods: A survey was administered to 241 first graders of specialized high schools in Daegu using a self-entry method. Twenty questions about fear of dental treatment and fifteen questions about self-regulation were included. The higher the score, the higher the fear of dental treatment and the self-regulation ability, showing a high reliability of 0.972 and 0.750, respectively. Results: The mean score of the participants' self-regulation ability was 3.25±0.51 and that of the degree of fear for dental treatment was relatively low at 1.72±0.85. It was confirmed that the higher the academic performance (F=7.635, p<0.01), the better was the self-regulation based on self-diagnosis (F=3.142, p<0.05), and was associated with higher health awareness (F=5.894, p<0.01). The degree of fear for dental treatment was significantly higher in the self-diagnosis-induced poor health group (F=4.933, p<0.01) and associated with a lower awareness of health (F=3.093, p<0.05). The participants' self-regulation ability was significantly negatively correlated with the degree of fear regarding dental treatment (r=-0.269, p<0.01). Regression analysis was performed using the degree of fear as a dependent variable and including sub-area variables of self-diagnosis-based health status, perception of health, and self-regulation ability as independent variables (β=-0.163, p<0.05). Among the self-regulation abilities, controlled composition (β=-0.232, p<0.01) had a significant effect; the higher the composition, the lower the degree of fear. The total explanatory power of this variable was 8.5%. Conclusion: An appropriate customized education program that can encourage individuals to practice self-care and maintain oral hygiene along with a clear understanding of underlying individual oral health conditions during adolescence is essential for promoting oral health.

• 비파괴검사학회지
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• 제27권2호
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• pp.115-123
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• 2007

본 연구에서는 탄소섬유로 보강된 콘크리트의 전기저항 변화를 모니터링하는 방법에 의해, 콘크리트의 파괴에 대한 자가진단 적용 특성을 검토하였다. 미분쇄 탄소섬유와 코크스 분체로 구성된 신형 리브재가 포함된 CFGFRP (탄소섬유 유리섬유 강화 플라스틱)와 콘크리트 보강용 CF(탄소섬유) 시트에 휨 하중 재하 단계별로 하중을 가할 때 균열 또는 파괴가 발생하기 전후의 탄소섬유의 전기저항 변화를 조사하여, 각 인자의 관계특성(각 하중단계별 전기저항, 변형률, 처짐 등의 변화)을 분석하였다. 그 결과, 콘크리트 인장측 파괴시 탄소섬유 보강근, 신형 리브, 시트가 파괴될 때, 전기저항은 크게 증가하지만, CFGFRP의 경우는 그 후 하이브리드 FRP 재료 중 탄소섬유를 보강하고 있던 유리섬유가 나머지 추가 재하 하중에 저항할 수 있어 콘크리트 시험체의 전 파괴단계에까지는 이르지 않았다. 따라서 CFGFRP의 보강근과 신형 리브, CF시트는 FRP로 보강된 콘크리트의 파괴를 사전에 감지할 수 있는 자가진단 재료로서의 적용이 가능함을 알 수 있었다.

• 콘크리트학회논문집
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• 제18권3호
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• pp.439-445
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• 2006

본 연구는 콘크리트 보강근으로 사용된 단일 FRP 또는 하이브리드 FRP(전기적 특성을 가지고 있는)의 전기저항 변화를 모니터링 함으로써, 콘크리트의 파괴에 대한 자가진단 적용 특성을 검토하기 위해 수행되었다. CFRP(단일형), CRGFRP와 CFAFRP(하이브리드형)의 3종류로 보강된 콘크리트에 휨 하중 재하 단계별로 하중을 가하여 균열 또는 파괴가 발생하기 전후의 탄소섬유의 전기저항 변화를 조사하여, 각 인자의 관계특성(각 하중단계별 전기저항, 변형률, 처짐 등의 변화)을 분석하였다. 그 결과, 콘크리트 인장측 파괴 시 탄소섬유단이 파괴될 때 전기저항은 크게 증가하지만, 그 후 하이브리드 FRP 재료 중 탄소섬유를 보강하고 있던 유리섬유나 아라미드섬유가 나머지 추가 재하 하중에 저항할 수 있어 콘크리트 시험체의 전 파괴단계에까지는 이르지 않았다. 따라서 탄소섬유가 포함된 하이브리트 FRP 보강근은 콘크리트 시험체의 파괴를 사전에 감지할 수 있는 자가진단 재료로서의 적용 및 사용이 가능함을 알 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.1005-1018
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• 2017

This paper proposes an App Visualization (AppV) based on IoT Self-diagnosis Micro Control Unit (ISMCU) for accident prevention. It collects a current status of a vehicle through a sensor, visualizes it on a smart phone and prevents vehicles from accident. The AppV consists of 5 components. First, a Sensor Layer (SL) judges noxious gas from a current vehicle and a driver's driving habit by collecting data from various sensors such as an Accelerator Position Sensor, an O2 sensor, an Oil Pressure Sensor, etc. and computing the concentration of the CO collected by a semiconductor gas sensor. Second, a Wireless Sensor Communication Layer (WSCL) supports Zigbee, Wi-Fi, and Bluetooth protocol so that it may transfer the sensor data collected in the SL to ISMCU and the data in the ISMCU to a Mobile. Third, an ISMCU integrates the transferred sensor information and transfers the integrated result to a Mobile. Fourth, a Mobile App Block Programming Tool (MABPT) is an independent App generation tool that changes to visual data just the vehicle information which drivers want from a smart phone. Fifth, an Embedded Module (EM) records the data collected through a Smart Phone real time in a Cloud Server. Therefore, because the AppV checks a vehicle' fault and bad driving habits that are not known from sensors and performs self-diagnosis through a mobile, it can reduce time and cost spending on accidents caused by a vehicle's fault and noxious gas emitted to the outside.

• 한국보건간호학회지
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• 제14권2호
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• pp.342-354
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• 2000

This study was conducted to identify the characteristics of activities of daily living(ADU) and its influencing factors in patients with chronic arthritis. The data were obtained from 104 patients with chronic arthritis in one university hospital from May to August. 2000. For analysing data. SAS program was used for t-test. ANOVA, Schefte test. Pearson correlation. and stepwise multiple regression. The results were as follows: 1. The variables which influenced self-efficacy were duration of disease. number of painful joint, quality of sleep and alcohol drinking. 2. The variables which influenced fatigue were diagnosis and number of painful joint. 3. The variables which influenced ADL were age. duration of disease. diagnosis. number of painful joint. number of exercise and alcohol drinking. 4. ADL was positive correlation with self-efficacy and negative correlation with fatigue. And self-efficacy was negative correlation with fatigue. 5. The predictors to explain ADL were self-efficacy. number of painful joint. lupus. duration of disease and religion. These predictors explained $66.01\%$ of the activites of daily living. According to these findings. the most significant influencing factor of ADL was self-efficacy. therefore the development of nursing intervention for enhancing self-efficacy would be needed. Also. it is suggested that an exercise program should be recommended as one of useful and appropriate nursing intervention for reducing fatigue and increasing ADL.

• Journal of Oral Medicine and Pain
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• 제26권2호
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• pp.107-114
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• 2001

Oral malodor is a problem that traverses history, culture, race and sex. But, up to the present the study on prevalence of oral malodor in normal popualtion is short, especially there is no study on oral malodor prevalence in Korean. In our study, we investigated self-evaluation of oral malodor, self-rating intensity of oral malodor, patients efforts for curing their oral malodor, and degree of satisfaction with their efforts. Investigation was carried out on 368 public Koreans resident in a big city(174 males, 194 females), by method of self-reporting to prepared questionnaire. There was no difference in self-reporting prevalence of oral malodor in sexes(57.5% in male, 58.8% in female), and the prevalence rate was increased with aging. Self-rating intensity of oral malodor in oral malodor patients group(by self-reporting) was ranked in order of slight, weak, middle, strong in both sexes, but the number of self-rating strong female group is significantly larger than that of self-rating strong male group(9.3% in male, 17.9% in female). In question on duration of oral malodor, most subjects answered that their oral malodor was developed in certain circumstances(61.3% in male, 76.3% in female), and oral malodor-developing circumstances was ranked in order of in the early morning, in hunger state, in fatigue, in stressful situations. Subjects effort for curing their oral malodor was ranked in order of more tooth brushing, gum chewing, use of commercial product for oral hygiene, visit dental clinic, and rates of no effort subjects were 15.3% in males and 10.7% in females. The degree of satisfaction with their efforts for curing their oral malodor was very low, only 5.6% of males and 6.6% of females were answered that there were satisfactory improvement in their oral malodor. Collectively, our result revealed that prevalence of oral malodor in public Koreans and their interest in oral malodor were much higher than our anticipation, and that patients satisfaction with improvement in oral malodor was short of their expectations. Considering the life quality of patients suffering from oral malodor, we conclude that developments of more improved diagnostic tools and treatment methods for oral malodor is indispensable in future.

• Journal of Acupuncture Research
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• 제30권4호
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• pp.161-167
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• 2013

Objectives : This study was done for comparing the result of Sasang constitution diagnosis using portable Ryodoraku and that of self-report questionare for Sasang constitution classification II QSCC II. Methods : We investigated 41 cases to collect the data. we analyzed the result of portable Ryodoraku and self-report(QSCC II). Results : 1. The degree of agreement between those results from portable Ryodoraku and QSCC II was statistically significant. 2. The dgree of agreement between those results from portable Ryodoraku and QSCC II was statistically significant in male and female. Conclusions : It is suggested that portable Ryodoraku should be available for diagnosing Sasang constitution.

• KIEE International Transactions on Power Engineering
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• 제5A권1호
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• pp.40-45
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• 2005

Substation facilities have become extremely large and complex parts of electric power systems. The development of condition monitoring and diagnosis techniques has been a very significant factor in the improvement of substation transformer security. This paper presents a method to analyze the cause, the degree, and the aging process power transformers by the Self Organizing Map (SOM) method. Dissolved gas data were non-linearly transformed by the sigmoid function in SOM that works much the same way as the human decision making process. The potential for failure and the degree of aging of normal transformers are identified by using the proposed quantitative criterion. Furthermore, transformer aging is monitored by the proposed criterion for a set of transformers. To demonstrate the validity of the proposed method, a case study is performed and its results are presented.