• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.05a
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• pp.153-157
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• 2002

자기 진단 센서는 자신의 상태를 스스로 진단하는 기능을 갖는 센서를 말한다. 이러한 기능을 갖기 위해서 자신의 상태를 판단 할 수 있는 정보를 얻는 것이 가장 중요하다. 본 연구에서는 자신의 노이즈 신호만으로 상태를 판단할 수 있는 자기 진단센서의 설계하는 방법을 제안하였다. 웨이브렛 및 ICA 분석기법을 이용하여 자신의 출력 신호로부터 대상목표의 측정물리량을 나타내는 신호성분을 제외한, 센서 자신으로부터 발생하는 특징 노이즈 신호만을 분류한 다음에, 이 신호를 PDS로 정량화하여 특징 데이터를 생성하였다. 실험을 통해 그 타당성을 입증하였다.

• Proceedings of the Korea Concrete Institute Conference
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• 2004.05a
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• pp.428-431
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• 2004

Smart structural system is defined as structural system with a certain-level of autonomy relying on the embedded functions of sensors, actuators and processors, that can automatically adjust structural characteristics, in response to the change in external disturbance and environments, toward structural safety and serviceability as well as the extension of structural service life. In this study, carbon and glass hybrid fiber materials were investigated fundamentally for the applicability of self diagnosis in smart concrete structural system as embedded functions of sensors.

• Proceedings of the Korea Concrete Institute Conference
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• 2006.05a
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• pp.358-361
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• 2006

For giving self-diagnosing capability, a method based on monitoring the changes in the electrical resistance of carbon materials in strengthened concrete has been tested. Then after examining change in the value of electrical resistance of carbon materials used as a rib of CFGFRP or a sheet of carbon fiber before and after the occurrence of cracks and fracture in hybrid FRP or carbon fiber sheet strengthened concrete at each flexural weight-stage, the correlations of each factors were analyzed.

• Journal of the Korean Society of Safety
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• v.12 no.1
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• pp.129-132
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• 1997

The effectiveness of an ensuring the facility safety depends on the ability to find abnormal part(s) and remove that part(s). This requires the knowledge of that machine and ability to recover that machine. In this paper, it is discribed how to design the fuzzy based self organizing neural network expert system in order to find syptom source(s).

• Proceedings of the PSK Conference
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• 2001.10a
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• pp.322-323
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• 2001

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.135-144
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• 2003

In this paper, the implementation techniques of intelligent nuclear material surveillance system based on the SOM(Self Organized Mapping) was described. Unattended continuous surveillance systems for nuclear facility result in large amounts of data, which require much time and effort to inspect. Therefore, it is necessary to develop system that automatically pinpoints and diagnoses the anomalies from data. In this regards, this paper presents a novel concept of a continuous surveillance system that integrates visual image and radiation data by the use of neural networks based on self-organized feature mapping

• Proceedings of the Korea Concrete Institute Conference
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• 2004.11a
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• pp.651-654
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• 2004

In the research for giving self-diagnosing capability, conductive mortar intermixed with cokes and milled carbon fiber was produced. Then after examining change in the value of electric resistance dsand AE characteristics before and after the occurrence of cracks at each weight-stage, the correlations of each factors were analyzed.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.7
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• pp.75-83
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• 2007

IEC code based decision nile have been widely applied to detect incipient faults in power transformers. However, this method has a drawback to achieve the diagnosis with accuracy without experienced experts. In order to resolve this problem, we propose an artificial diagnosis algorithm to detect faults of power transformers using Self-Organizing Feature Map(SOM). The proposed method has two stages such as model construction and diagnostic procedure. First, faulty model is constructed by feature maps obtained by unsupervised learning for training data. And then, diagnosis is performed by compare feature map with it obtained for test data. Also the proposed method usぉms the possibility and degree of aging as well as the fault occurred in transformer by clustering and distance measure schemes. To demonstrate the validity of proposed method, various experiments are unformed and their results are presented.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.5869-5873
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• 2015

Background: Breast and cervical cancers are among the most frequent and most fatal cancers in women. Life span of patients may be increased and quality of life improved through early diagnosis and treatment. This investigation was performed in order to determine knowledge and practices of female health personnel working at a university hospital regarding breast and cervical cancers. Materials and Methods: This descriptive investigation was performed in Erciyes University Hospitals in 2014. A total of 524 female health personnel were included in the study. Data were collected through a questionnaire of 36 questions prepared by the researchers. The Chi square test and logistic regression were used for statistical analyses. Results: The mean age of the study group was $32.8{\pm}6.9$ years, 18.3% being doctors and 81.7% nurses. Of the study group, 60.5% stated that they performed self breast-examination, 4.4% underwent HPV testing, 26.3% thought about taking an HPV test, 34.7% of those who are 40 years and over had mammography regularly and 19.5% of those who were married had a Pap smear conducted regularly. Most important causes of not performing the methods for early diagnosis of breast and cervical cancers are "forget and neglect". Conclusions: It was concluded that female doctors and nurses do not pay sufficient attention to screening programs for breast and cervical cancers. The importance of early diagnosis and treatment should be emphasized during the undergraduate education and in-service training programs. Health condition of personnel and their utilization of preventive health care should be followed by occupational physicians.

• Journal of Korean Classical Literature and Education
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• no.15
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• pp.191-243
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• 2008

The purpose of this paper is to develope the husband and wife epic test. The results of this paper are as follows. First, in the epic of dividing mate, , , , , etc, the essential item of diagnosis is qualification criteria of a mate. Second, in the epic of pushing mate, , , , , , etc, the essential item of diagnosis is mistrust about mate, Third, in the epic of recovering mate, , , , , , etc, the essential item of diagnosis is ability of recovering couple relationship, Fourth, in the epic of protecting mate, , , , , , etc, the essential item of diagnosis is sympathy for mate.