• Journal of Power System Engineering
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• v.9 no.4
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• pp.187-193
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• 2005

In this paper, we proposes a man-machine interface design for fault diagnosis system with inter-node search method in a Petri net model. First, complicated fault cases are modeled as the Petri net graph expressions. Next, to find out causes of the faults on which we focus, a Petri net model is analyzed using the backward reasoning of transition-invariance in the Petri net. In this step, the inter-node search method algorithm is applied to the Petri net model for reducing the range of sources in faults. Finally, the proposed method is applied to a fault diagnosis of a refrigeration system to confirm the validity of the proposed method.

• Journal of Korean Dental Hygiene Science
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• v.4 no.1
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• pp.53-64
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• 2021

Background: The elderly in long-term care facilities tend to have a diminished oral health status, with a high prevalence of dental caries and periodontal disease, as reduced cognitive function, joint mobility, and gait ability hinder the performance of oral hygiene. To improve the oral health of the elderly at long-term care facilities, it is necessary to have precise guidelines for oral health care and assessment; however, such guidelines are not readily available. Therefore, the present study aimed to develop an oral care assessment tool with verified reliability and validity. Methods: The participants in this study were 100 elderly patients at a care facilities and 10 clinical dental hygienists. Collected data were analyzed using the descriptive statistics, content validity index, and inter-rater reliability, as well as the analyses of intra-class correlation coefficient. Results: After a review of relevant literature, a preliminary questionnaire comprised of seven questions related to the evaluation of oral health was formed. After revising and supplementing the questions through a content validity test, a total of nine questions were selected. Conclusion: The novel assessment tool developed for the present study is anticipated to allow analyses of the level of problems related to oral health care before routine and professional care. Moreover, regular oral health status check-ups will enable the early diagnosis and treatment of diseases.

• Journal of Oriental Neuropsychiatry
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• v.23 no.3
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• pp.23-32
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• 2012

Objectives : The purpose of this study was to validate the Sasang Personality Questionnaire (SPQ), based on the diagnosis of Sasang constitutional medicine clinical specialist. Methods : We performed Sasang type differentiation of 103 college students by certified specialist, and analyzed biopsychological traits of each groups with SPQ, Temperament and Character Inventory (TCI), Positive and Negative Affection Schedule (PANAS) and Body Mass Index (BMI). Results : The SPQ score of So-Yang ($33.1{\pm}0.79$), Tae-Eum ($29.03{\pm}0.67$) and So-Eum ($25.76{\pm}0.98$) Sasang groups showed significant differences from each other. The SPQ showed significant correlation with TCI Novelty-Seeking (r=.346), TCI Harm-Avoidance (r=-.348) and TCI Persistence (r=.346). But the BMI and PANAS did not show significant correlation with SPQ, although the PANAS Positive Affection (r=.332) has significant correlation with SPQ-Behavior. Conclusions : We confirmed the clinical validity of SPQ with clinical specialist and established biopsychosocial instruments. This study would contribute to a more objective diagnosis and studies on biopsychosocial mechanism of Sasang constitutional medicine.

• Journal of Power Electronics
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• v.9 no.2
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• pp.224-231
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• 2009

The induction motor rotor fault diagnosis system using current signals, which are measured using an axis-transformation method, is presented in this paper. In inverter-fed motor drives, unlike line-driven motor drives, the stator currents are rich in harmonics; therefore fault diagnosis using stator current is not trivial. The current signals for rotor fault diagnosis need precise and high resolution information, which means the diagnosis system demands additional hardware such as a low pass filter, high resolution ADC, and encoder, etc. The proposed axis-transformation method with encoder and without encoder is expected to contribute to a low cost fault diagnosis system in inverter-fed motor drives without the need for any additional hardware. In order to confirm the validity of the developed algorithms, various experiments for rotor faults are tested and the line current spectrum of each faulty situation using Park transformation is compared with the results obtained from fast Fourier transforms.

• Korean Journal of Human Ecology
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• v.19 no.6
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• pp.993-1002
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• 2010

This study sought to determine wether the reliability of the KIP-C is affected by mothers' scores on of MMPI. Particiapants in this study were 100 mothers whose children visited the a children's psychiatric hospital. They were sorted into two groups; diagnosis consistent group and diagnosis inconsistent groups. the diagnosis inconsistent group showed significantly higher scores on L(p<.001) and K(p<.001) scales, while the diagnosis consistent group had higher scores on F, Ma and Si scales. When comparing the KPI-C of the groups, the diagnosis consistent groups showed significantly higher scores in ANX, SOM and HPR scales(p<.05). A correlation analysis of the validity scales of MMPI and the scales of KPI-C also showed significant correlation. It was also shown that the characteristics of the mothers' personality have important effects on their perception of their children's problems. In particular, the stronger the mothers defensive characteristics, the lower the reliability of their perception of their children's problems. Reciprocally, reliability was higher when the mothers acknowledged their problems.

• Journal of Sasang Constitutional Medicine
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• v.33 no.3
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• pp.95-126
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• 2021

Objectives The purpose of this study was to develop diagnostic tools for Sasang Constitutional patterns based on the middle classification of the Sasang Constitutional patterns. Methods Diagnosis and assessment indicators of Soeumin, Soyangin, Taeeumin, and Taeyangin patterns were extracted based on the 『Clinical Practice Guideline for Sasang Constitutional Medicine Symptomatology』 and 『Donguisusebowon』. An online survey was conducted on the 'importance of diagnosis and assessment indicators' by the Sasang Constitutional Medicine expert group. Results Based on the expert consultation results, the importance weight for each diagnosis and assessment indicators symptom was calculated, and the importance was ranked to develop diagnostic tools for Soeumin, Soyangin, Taeeumin, and Taeyangin patterns. Diagnostic tool consisted of 58 questions for Soeumin patterns, 68 questions for Soyangin patterns, 81 questions for Taeeumin patterns, and 42 questions for Taeyangin patterns. The final total score was calculated by reflecting each response score and the weight of each question. Conclusions The developed 'Diagnostic Tools for Sasang Constitutional patterns' can be used to make an effective and objective diagnosis in the clinical site. In the future, if the reliability and validity of these diagnostic tools are tested through clinical study, it will be possible to improve clinical applicability and contribute to standardization of diagnosis.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.468-475
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• 2012

Nurses have performed their nursing practice according to the standard guidelines such as NANDA, NIC, and NOC, and recorded the information on nursing process into EMR system. In particular, NANDA, nursing diagnosis taxonomy, has difficulty expressing nursing diagnosis in detail because it represents abstract concepts of nursing diagnosis. So, the hospitals in KOREA have developed and used the list of nursing diagnosis on their own without referring the international standard terminologies, and it caused the delay of computerization of nursing records. Therefore, we proposed a ontology development methodology on nursing diagnosis based on NANDA and SNOMED-CT. The developed ontology, systematically developed with the frequently used nursing diagnosis terminologies in each hospital, based on the proposed methodology enables knowledge expansion and interoperable exchange of nursing records between EMR systems. We developed an ontology using the 112 nursing diagnosis terms defined by extracting and refining information on nursing diagnosis recorded in Kyungpook National University Hospital. We also confirmed the content validity and the usefulness of the developed ontology through expert assessment and experiment.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1765-1772
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• 2015

The integrity of the gas insulated switchgear (GIS) is vital to the safety of an entire power grid. However, there are some limitations on the techniques of detecting and diagnosing partial discharge (PD) induced by insulation defects in GIS. This paper proposes a joint electro-chemical detection method to resolve the problems of incomplete PD data source and also investigates a new unique fault diagnosis method to enhance the reliability of data processing. By employing ultra-high frequency method for online monitoring and the chemical method for detecting SF6 decomposition offline, the acquired data can form a more complete interpretation of PD signals. By utilizing DS evidence theory, the diagnostic results with tests on the four typical defects show the validity of the new fault diagnosis system. With higher accuracy and lower computation cost, the present research provides a promising way to make a more accurate decision in practical application.

• KIEE International Transactions on Power Engineering
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• v.5A no.1
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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.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2001.11a
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• pp.139-144
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• 2001

Insulation aging diagnosis system provides early warning regarding electrical equipment defect. Early warning is very important in that it can avoid great losses resulting from unexpected shutdown of the production line. Since relations of insulation aging and partial discharge dynamics are non-linear, it is very difficult to provide early warning in an electrical equipment. In this paper, we propose the design method of insulation aging diagnosis system that use a magnetic wave and acoustic signal to diagnoses an electrical equipment. Proposed system measures the partial discharge on-line from DAS(Data Acquisition System) and acquires 2D patterns from analyzing it. For filtering the noise contained in sensor signals we used ICA algorithms. Using this data, design of the neuro-fuzzy model that diagnoses an electrical equipment is investigated. Validity of the new method is asserted by numerical simulation.