• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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• pp.2846-2848
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• 2005

This paper proposes a pattern classification algorithm for the defect distribution of Hard Disk Drive (HDD). In the HDD productions, the defect pattern of defective HDD set is important information to diagnosis of defective HDD set. In this paper, 5 characteristics are determined for the classification to six standard defect pattern classes. A fuzzy inference system is proposed, the inputs of which are 5 characteristic values and the outputs are the possibilities that the input pattern is classified to the standard patterns. Classification result is the pattern with maximum possibility. The proposed algorithm is implemented with a PC system for defective HDD sets and shows its effectiveness.

• 대한치과교정학회지
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• 제9권1호
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• pp.125-131
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• 1979

The templates for male and female were constructed respectively by use of 36 male and 52 female cephalometric roentgenograms in Hellman Dental Age IV A with normal occlusion. The grids were drawn to show 1 standard deviation and 2 standard deviation on every reference point. 1. When the template is used for cephalometric analysis, w e can obtain comparatively accurate diagnosis even one or two refernces are distorted, because several references are used for analysis. 2. The method of using the template is simple enough to perform cephalometric analysis easily. 3. If the templates are constructed for every age and sex, we can predict the growth patterns of the patients in the period of growth.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권6호
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• pp.383-389
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• 2005

This paper proposes a pattern classification algorithm for the defect distribution of Hard Disk Drive (HDD). In the HDD production, the defect pattern of defective HDD set is important information to diagnosis of defective HDD set. In this paper, 5 characteristics are determined for the classification to six standard defect pattern classes. A fuzzy inference system is proposed, the inputs of which are 5 characteristic values and the outputs are the possibilities that the input pattern is classified to standard patterns. Therefore, classification result is the pattern with maximum possibility. The proposed algorithm is implemented with the PC system for defective HDD sets and shows its effectiveness.

• Journal of Yeungnam Medical Science
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• 제6권1호
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• pp.141-149
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• 1989

저자는 악교정 술식에 있어서 증례분석 및 진단에 활용하고자 기왕에 악교정 수술을 위한 두부방사선 계측학적 분석법을 보고한 Burstone 등의 방법을 이용하여 21세 이상의 한국 성인 정상교합자중 남자 30명, 여자 29명, 합계 59명을 대상으로 연구하여 성인 남녀별 각 계측항목의 평균치, 표준편차를 산출하고, 남녀별 유의성 검정을 시행하였다.

• Clinical and Experimental Pediatrics
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• 제51권5호
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• pp.457-461
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• 2008

Kawasaki disease (KD) was first described by Dr. Tomisaku Kawasaki in his 1975 study, published in Pediatrics. Its pathogenesis is still not clearly understood. Early diagnosis and treatment are very important to preventing concomitant coronary artery complications. Most KD patients respond well to the standard treatment of aspirin and intravenous immunoglobulin; however, some of them are refractory to the standard treatment, and so adjuvant therapies with corticosteroids and anti-tumor necrosis $factor-{\alpha}$ ($TNF-{\alpha}$) antibody are necessary. In this article, the author reviews and summarizes the most recent literature on the treatment of refractory KD.

• 설비공학논문집
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• 제15권3호
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• pp.159-165
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• 2003

The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of the air-conditioning system. To detect partial faults of the air-conditioning system, a neural network algorithm may be used. In this study, the neural network algorithm using normalized input data by the standard deviation was applied. And the [7$\times$10$\times$10$\times$1] neural network structure was selected. Test results showed that the neural network algorithm using normalized input data was very effective to detect the condenser fouling and the evaporator fan fault of an air-conditioning system.

• 동의생리병리학회지
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• 제21권5호
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• pp.1319-1331
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• 2007

• Tuberculosis and Respiratory Diseases
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• 제75권4호
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• pp.135-139
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• 2013

Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is becoming a standard method for invasive mediastinal staging and for the diagnosis of paratracheal and peribronchial lesions. It is essential to understand the technical aspects of EBUS-TBNA to ensure safe and efficient procedures. In this review, we discuss the practical aspects to be considered during EBUS-TBNA, including anesthesia, manipulation of equipment, understanding mediastinal ultrasound images, target selection, number of aspirations needed per target, sample handling, and complications.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.157.1-157
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• 2001

A new methodology is presented to diagnose faults in equipment plasma. This is accomplished by using neural networks as a pattern recognizer of radio frequency(rf) impedance match data. Using a realtime match monitor system, the match data were collected. The monitor system consisted mainly of a multifunction board and a signal flow diagram coded by Visual Designer. Plasma anomaly was effectively represented by electrical match positions. Twenty sets of fault-symptom patterns were experimentally simulated with experimental variations in process factors, which include rf source power, pressure, Ar and O$_2$ flow rates. As the inputs to neural networks, two means and standard deviations of positions were used ...

• 대한전기학회:학술대회논문집
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• 대한전기학회 2015년도 제46회 하계학술대회
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• pp.1461-1462
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• 2015

Based on the Kepco's standard supply terms, the customer should pay for installation the regulating device or protective device which are granted by Kepco in case the customer hinder other customer's electricity usage or it may cause the interruption because of harmonics or waveform distortion. It is necessary to consider the phase angle of voltage, current for harmonics so we can set up the measure of harmonic damages.