• 전기학회논문지P
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• 제65권1호
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• pp.41-46
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• 2016

It has been proven that the dissolved gas analysis (DGA) is the most effective and convenient method to diagnose the transformers. The DGA is a simple, inexpensive, and non intrusive technique. Among the various diagnosis methods, IEC 60599 has been widely used in transformer in service. But this method cannot offer accurate diagnosis for all the faults. This paper proposes a fault diagnosis method of oil-filled power transformers using IEC code based neuro-fuzzy model. The proposed method proceeds two steps. First, IEC 60599 method is applied to diagnosis. If IEC code can't determine the fault type, neuro-fuzzy model is applied to effectively classify the fault type. To demonstrate the validity of the proposed method, experiment is performed and its results are illustrated.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2001년도 춘계학술대회 논문집
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• pp.32-37
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• 2001

This paper describes a noble fault diagnosis method using inter node search technique in PN model. First, a complicated fault system is modeled as PN graphic expressions. Next, to find out sources for faults on which we focus, the PN model is analyzed using the backward chaining of T-invariance. In this step, the technique of inter node search is applied for reducing some range of sources in a fault. Also, colnposing method of incidence matrix in PN is proposed. Then, it makes the diagnosis system to very flelible system because new knowledges about the sources in a fault can be added easily to conventional systems. Finally, the proposed method is applied to the automobile trouble diagnosis system to confirm the validity of the method.

• 한국해양공학회지
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• 제15권4호
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• pp.101-107
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• 2001

This paper describes a fault diagnosis method by a T-invariance of Petri Net (PN). First, a complicated fault system with some failure is modeled into a PN graphic expressions. Next, the PN model is analyzed by using the backward chaining of T-invariance to find out causes of the faults. In this step, an inter-node search technique which is suggested in this paper is applied for reducing searching area in the fault system. Also, a novel idea to compose incidence matrices which have different dimension each other in PN model is proposed. As the new knowledges which is discovered newly about faults can be added easily to conventional systems, the diagnosis system will be very flexible. Finally, the proposed method is applied to the automobile fault diagnosis system to confirm the validity of the method.

• 한국정밀공학회지
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• 제15권1호
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• pp.19-25
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• 1998

Remote fault diagnosis and maintenance system using general telecommunication network is necessary for an effective fault diagnosis and higher productivity of NC machine tools. In order to monitor machine tool condition and diagnose alarm states due to electrical and mechanical faults, a remote data communication system for monitoring of NC machine fault diagnosis and status is developed. The developed system consists of (1) remote communication module among NC's and host PC using PSTN. (2) 8 channels analog data sensing module, (3) digital I/O module for control or NC machine, (4) communication module between NC machine and remote data communication system via RS-232C, and (5) software man-machine interface. Diagnostic monitoring results generated through a successive type inference engine are displayed in user-friendly graphics. The validity and reliability of the developed system is verified to be a powerful commercial version on a vertical machining center through a series of experiments.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제22권2호
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• pp.120-127
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• 2011

Objectives:The purpose of this study was to verify discriminant validity and the clinical cutoff score of Child Behavior Checklist 1.5-5 in the diagnosis of developmental delayed infants. Methods:The participants were screened by Denver II which includes 156 developmental delayed infants and 288 normal infants. Chi-squared test, t-test, ROC curve analysis, odds ratio analysis were performed on the data. Results:Only 47 items out of 99 items among the CBCL 1.5-5 of total groups, 36 items of boys and 48 items of girls, discriminated developmental delayed infants well. Discriminant validity was confirmed by mean differences on the subscales of Withdrawn, Sleep Problems, Attention Problems, Internalizing Problems, Externalizing Problems, Total Problems, DSM Pervasive Developmental Problems and DSM Attention Deficit/Hyperactivity Problems between the two groups. Additionally, ROC analyses demonstrated that Withdrawn, Attention Problems, Internalizing Problems, Total Behavior Problems and DSM Pervasive Developmental Problems significantly predicted developmental delayed infants compared to normal infants. Also, the clinical cutoff score criteria adopted in the Korean CBCL 1.5-5 for subscales of Withdrawn, Attention Problems, Internalizing Problems, Total Behavior Problems and DSM Pervasive Developmental Problems were shown to be valid. Conclusion:The subscales of Withdrawn, Attention Problems, Internalising Problems, Total Behavior Problems and DSM Pervasive Developmental Problems significantly discriminated in the diagnosis of developmental delayed infants well.

• The Korean Journal of Pain
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• 제22권2호
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• pp.146-150
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• 2009

Background: A skin temperature difference is one of the variables used in the diagnosis of complex regional pain syndrome. However, there have been no reports as to whether the real (${\Delta}T$) or absolute value ($|{\Delta}T|$) of skin temperature differences should be used in the diagnosis of complex regional pain syndrome. This study was conducted to compare the diagnostic validity of ${\Delta}T$ with $|{\Delta}T|$ for complex regional pain syndrome using receiver operating characteristic curves (ROC). Methods: Infrared thermographic images were obtained from the 144 patients who were suspected to have CRPS in a unilateral limb. After ${\Delta}T$ and $|{\Delta}T|$ calculation from the thermographic image, ROCs of ${\Delta}T$ and $|{\Delta}T|$ were developed, and the areas under the curve (AUC) for the ROC curves were compared. Results: AUCs of ${\Delta}T$ and $|{\Delta}T|$ were 0.520 and 0.746 respectively, this difference was statistically significant (P < 0.001). Conclusions: Absolute skin temperature difference shows greater validity in the diagnosis of CRPS than ${\Delta}T$. Therefore, $|{\Delta}T|$ is more useful when comparing the skin temperature of CRPS patients.

• 대한한의학회지
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• 제35권3호
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• pp.93-102
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• 2014

Objectives: This study aimed at revising the Korean Out-patient Groups for Korean Medicine (KOPG-OM, version 1.0) based on clinical similarity and resource use, by using the accumulated claims data, and evaluating the validity of the revised classification system. Methods: A clinical specialist panel involving 19 specialists from 8 Korean medicine (KM) specialty areas reviewed the classification tree, diagnosis groups and procedure groups in terms of clinical similarity. Several models of outpatient grouping were formulated, with the validity of each tested based on the $R^2$ coefficient of determination for the treatment costs of all visits. To add age splits, the variances of treatment costs by age groups were also analyzed. These statistical analyses were performed using KM claims data of National Health Insurance from 2010 to 2012. Results: The classification tree designed via panel discussions was used to allocate outpatient cases to 26 diagnosis groups, with cases involving procedures such as acupuncture, moxibustion and cupping, then allocated to 9 procedure groups in each diagnosis group. The cases without procedures were categorized into the visit index - medication group. This process resulted in 298 outpatient groups. The $R^2$ values for treatment costs of all visits ranged from 0.38 to 0.69 depending on the providers' types. Conclusions: The revised model of KOPG-KM has a higher validity for outpatient classification than the current system and can provide better management of the costs of outpatient care in KM.

• 정보관리학회지
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• 제41권1호
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• pp.1-30
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• 2024

본 연구의 목적은 장애 아동·청소년의 독서역량을 강화하기 위하여 진단도구 프로토타입을 개발하고 그 타당도 및 신뢰도를 분석함으로써 독서역량 진단프로그램 개발의 기초 자료를 제시하는 데에 있다. 본 연구는 문헌 및 사례 연구를 바탕으로 문항을 개발하고, 델파이 조사 및 실제 장애 아동·청소년을 대상으로 한 예비조사를 실시하고 분석하였다. 연구 결과, 표본 수가 적어 타당도와 신뢰도 분석에 한계는 있었으나 장애 아동·청소년의 독서역량 진단도구 프로토타입 개발과 함께 기초 데이터를 확보하였다. 향후 개발될 독서역량 진단프로그램은 장애유형별 특성, 빅데이터를 통한 데이터 수집 및 활용 방안, 진단 절차 및 진단 시 유의사항을 다양한 변인을 고려하여 웹·모바일로 확장하여 개발할 것을 제안하였다.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제26권1호
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• pp.30-37
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• 2015

Objectives: The purpose of this study was to verify the validity and clinical cutoff score of the Child Behavior Checklist for ages 1.5-5 (CBCL 1.5-5) for diagnosis of autism spectrum disorder (ASD). Methods: 44 ASD infants and 100 normal infants participated. T-test, discriminant analysis, receiver operating characteristic (ROC) curve analysis, and odds ratio analysis were performed on the data. Results: Discriminant validity was confirmed by mean differences and discriminant analysis on the subscales of Withdrawn, Attention problems, Internalizing problems, Externalizing problems, Total problems, and all Diagnostic and Statistical Manual of Mental Disorders (DSM)-oriented scales between the two groups. ROC curve analysis showed that Withdrawn, Attention problems, Internalizing problems, Externalizing problems, Total problems, DSM pervasive developmental problems, DSM attention deficit/hyperactivity problems, and DSM oppositional defiant problems significantly predicted ASD infants compared to normal infants. In addition, the clinical cutoff score criteria adopted in the Korean CBCL 1.5-5 for subscales of Withdrawn, Attention problems, Internalizing problems, Externalizing problems, Total problems, DSM pervasive developmental problems, DSM attention deficit/hyperactivity problems, and DSM oppositional defiant problems were shown to be valid. Conclusion: The subscales of Withdrawn, Attention problems, Internalizing problems, Externalizing problems, Total problems, DSM pervasive developmental problems, DSM attention deficit/hyperactivity problems, and DSM oppositional defiant problems significantly discriminated for the diagnosis of ASD.

• 대한한의진단학회지
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• 제11권2호
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• pp.27-44
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• 2007

Background: Eight-Constitution Medicine (ECM) classifies the human body into eight constitutions. Diagnosis of discrimination of the eight constitutions depends on a unique pulse diagnosis. However, pulse diagnosis is subjective and requires vigorous training. Objectives: This study aims to analyze the validity and reliability of the Eight-Constitution Questionnaire as a diagnostic method. Methods: Participants of this study were outpatients in six ECM clinics located in Seoul. The resources were collected from 409 patients who were classified into one of the eightconstitutions according to their pulse types and their responses to constitution-acupuncture therapy. SPSS 13.0 for Windows was used for statistical analysis: factor analysis, reliability analysis, independent sample t-test, and multinomial logistic regression were used to verify the results. Results and Conclusions: 1. The proportion of participants' constitutions is in the order of Pancreotonia (23.7%), Colonotonia (19.8%), Pulmotonia (18.1%), Hepatonia (16.9%), Vesicotonia (8.1%), Cholecystotonia (7.3%), Renotonia (5.3%) and Gastrotonia (0.7%). 2. Sevencomponents and 74 items were selected through factor factor and relaibility analysis performed on about 251 items. 3. The firstcomponent's mean is significantly higher in Pancreotonia than that in other constitutions (p<0.05). The second is in Pulmotonia and Colonotonia, whereas the third is in Hepatonia and Cholecystotonia. Fifth is in Vesicotonia, the sixth is in Colonotonia, and the fourth and seventh are not significant in specific constitutions. 4. The percentage that Pancreotonia is correctly predicted is 96.9%, Pulmotonia is 91.9%, Colonotonia is 91.4%, Hepatonia is 88.4%, Vesicotonia is 81.8%, Gastrotonia is 66.7%, Renotonia is 66.7%, Choleeystotonia is 30.0%, and the total percentage is 85.3%.