• The Journal of the Society of Korean Medicine Diagnostics
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• v.11 no.2
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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%.

• Journal of Sasang Constitutional Medicine
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• v.26 no.3
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• pp.295-303
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• 2014

Objectives It is very important to diagnose Sasang Constitution (SC) correctly. The aim of this study was to reveal the concordance and validity of the specialists in Sasang Constitutional Medicine (SCM). Methods Three experts who had more than 5 years of experience and used more than 90% of Sasang Constitutional prescription in clinical practice of SCM participated in this study. The data composed of body shape, face, voice, temperament and physio-pathological symptoms were collected in the Korea Constitutional Multicenter Bank and 81 subjects' data were extracted randomly. The experts reviewed all 81 subjects data independently. Kappa analysis was conducted. Results 1) The concordance is from 52.5% to 68.4% among three experts. 2) The validity between individual expert and gold standard is from 54.3% to 63% and Kappa's coefficients are from 0.283 to 0.421. 3) The validity is from 68.5% to 70.7% when two or three experts agree the Sasang constitution independently and 75.7% when all of experts agree it. Conclusions The concordance and validity of experts in SCM seems to be moderate. We think further study is needed.

• Clinical and Experimental Pediatrics
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• v.55 no.3
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• pp.83-87
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• 2012

Several authors suggested that the clinical characteristics of incomplete presentation of Kawasaki disease are similar to those of complete presentation and that the 2 forms of presentation are not separate entities. Based on this suggestion, a diagnosis of incomplete Kawasaki disease in analogy to the findings of complete presentation is reasonable. Currently, the diagnosis of incomplete Kawasaki disease might be made in cases with fewer classical diagnostic criteria and with several compatible clinical, laboratory or echocardiographic findings on the exclusion of other febrile illness. Definition of incomplete presentation in which coronary artery abnormalities are included as a necessary condition, is restrictive and specific. The validity of the diagnostic criteria of incomplete presentation by the American Heart Association should be thoroughly tested in the immediate future.

• International Journal of Air-Conditioning and Refrigeration
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• v.16 no.4
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• pp.137-144
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• 2008

This study deals with on-line fault detection and diagnosis(FDD) for heat exchangers of a variable speed refrigeration system(VSRS) based on current information. The current residual which is the difference between real detected current from current sensors and estimated current from no fault model was utilized to diagnose faults of the heat exchangers. Comparing to the conventional FDD of constant refrigeration system based on temperature and pressure information, the suggested FDD method shows better robustness to the VSRS which has a feedback control loop. Moreover the suggested method can be expected more precise and faster diagnosis of faults about heat exchangers. Throughout some experiments, the validity of the method was verified.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.1
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• pp.33-37
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• 2002

Insulation aging diagnosis system provides early warning regarding electrical equipment defects. 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 electromagnetic wave and acoustic signal to diagnose 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, we design of the neuro-fuzzy model that diagnoses an electrical equipment and is investigated in this paper. Validity of the new method is asserted by numerical simulation.

• Journal of Power Electronics
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• v.16 no.2
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• pp.695-703
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• 2016

A fuel cell power conditioning system for online diagnosis and load leveling under the condition of varying load is developed in this study. The proposed system comprises a unidirectional boost converter and a bidirectional buck-boost converter with a battery. The system operates in two different modes. In normal mode, the bidirectional converter is utilized for load leveling; in diagnostic mode, it is utilized to control load voltage while the boost converter generates perturbation current to implement the online diagnosis function through in-situ electrochemical impedance spectroscopy (EIS). The proposed method can perform EIS for a fuel cell under varying-load conditions with no influence on the load. The validity and feasibility of the proposed system are verified by experiments, and the design procedure of the proposed system is detailed.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.26 no.3
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• pp.61-68
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• 2012

This paper deals with a fault diagnosis algorithm for open faults in the switching devices of PWM inverter-fed IPMSM (Interior Permanent Magnet Synchronous Motor) drive. The proposed diagnostic algorithm is realized in the controller using the informations of three-phase currents or reference line-to-line voltages, without requiring additional equipments for fault detection. Under switch open fault conditions, the conventional dq model used to control an AC motor cannot directly be applied for the analysis of drive system, since three-phase balanced condition does not hold. To overcome this limitation, a fault model based on the line-to-line voltages is employed for the simulation studies. For comparative performance evaluation through the experiments, the entire control system is implemented using digital signal processor (DSP) TMS320F28335. Simulations and experimental results are presented to verify the validity of the proposed diagnosis algorithm.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.56 no.4
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• pp.168-172
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• 2007

The global environment deteriorating which originated from using of fossil fuel is an serious problem for human being to solve. The photovoltaic energy has been considered as a solution. In advanced countries, research and development for photovoltaic(PV) energy system is carrying on. Once installed, a PV array requires maintenance and fault diagnosis other than an occasional cleaning. In this research, the proposed system monitor and diagnosis the output of PV array by on-line for maintenance of PV power plant. The validity of proposed system is verified using sample system.

• Tuberculosis and Respiratory Diseases
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• v.47 no.3
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• pp.311-320
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• 1999

Background: In recent years, tuberculosis has re-emerged as a major health problem in both industrialized & developing countries. Recent advances in identifying & purifying antigens secreted in active tuberculosis infection have lead to the development of serological assays based on a number of immunodominant antigens. To date, the most sensitive and specific of these antigens has been the 38-kDa antigen. Method: Two rapid membrane-based serologic assays using antigen(38-kDa) from mycobacterium tuberculosis for the diagnosis of tuberculosis were evaluated in 22 patients with smear-positive pulmonary tuberculosis, 14 patients with inactive pulmonary tuberculosis, and 9 patients with non-tuberculous lung disease. Result: The evaluation of validity(sensitivity, specificity, positive predictive value, negative predictive value, false positivity and false negativity) of STAT-PAK ULTRA FAST$^{(R)}$ were 77.3%, 28.6%, 63.0%, 44.4%, 71.4 %, and 22.7% for differential diagnosis of active pulmonary tuberculosis and inactive pulmonary tuberculosis, respectively. The evaluation of validity of STAT-PAK ULTRA FAST$^{(R)}$ were 77.3%, 33.3%, 73.9%, 37.5%, 66.7%, and 22.7% for differential diagnosis of active pulmonary tuberculosis and non-tuberculosis. The evaluation of validity of ICT Tuberculosis$^{(R)}$ were 54.5%, 57%, 66.7%, 44.4%, 42.9%, and 45.5% for differential diagnosis of active pulmonary tuberculosis and inactive pulmonary tuberculosis. The evaluation of validity of ICT Tuberculosis$^{(R)}$ were 54.5%, 100%, 100%, 47.4%, 0%, and 45.4% for differential diagnosis of active pulmonary tuberculosis and non-tuberculosis. Conclusion: We concluded no effectiveness of STAT-PAK ULTRA FAST$^{(R)}$ & ICT tuberculosis$^{(R)}$on serologic diagnosis of pulmonary tuberculosis. In the future, further large-scale study should be needed for serologic diagnosis of pulmonary tuberculosis.

• Journal of Power Electronics
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• v.9 no.3
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• pp.377-385
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• 2009

In this paper, a diagnosis method for switch open-circuit faults in three-phase PWM inverters is proposed, which employs support vector machine (SVM) as classifying method. At first, a discrete wavelet transform (DWT) is used to detect a discontinuity of currents due to the fault, and then the features for fault diagnosis are extracted. Next, these features are employed as inputs for the SVM training. After training, the SVM produces an optimized boundary which is used identifying the fault. Finally, the fault classification is performed online with instantaneous features. The experimental results have verified the validity of the proposed estimation algorithm.