• Journal of Oral Medicine and Pain
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• v.1 no.1
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• pp.8-13
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• 1973

The authors had studied the oral environmental changes by salivary salivary pH, amount, periodontal Index in patient with active pulmonary tuberculosis patients. Among the subjects, The experimental group was consisted of 100 patients (50 males and 50 females) of 20-29 years and 100 persons of control group (50 males and 50 females) of 20-29 years. The measurement of salivary amount was performed with wide mouthed plastic (2 Inches) bottle for avoidance of Ionization of SiO2 by using of glass bottle and salivary pH was checked by pH meter 27 radiometer Copenhagen. The results are as follows : 1. The slivary pH does not appear to be characteristic of tuberculous paticents. 2. The obtained salivary amount indicated no significant to the tuberculous patients as compared to the obtained supposedely wealthg individuals. 3. The Russel Index wasfound higher and there had found more periodontal involvement(3 times than normal) in the experimental group.

• The Journal of Korean Medicine
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• v.20 no.2
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• pp.157-164
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• 1999

This study focused on the method of interpreting Moire's topography. There has been no standard of interpretation which informed, this study, The conclusions arc as follows: Miore's image closed contour lines which is consisted of points. These points in one contour have the same distances from the screen to the patient's back. Moire's index means the number of contour gaps from symmetrical point of a specific point with the axis of central line. The number of contours which pass the median line means the degree of antero-posterior curvature.

• Proceedings of the KSME Conference
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• 2001.11a
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• pp.527-532
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• 2001

In this paper, we will propose the new method that estimates the sensing ability of HH smart sensor. We have developed a new signal processing method that can distinguish among different materials relatively. The HH smart sensor was developed for recognition of materials. We made the HH smart sensor in our experiment. Then, we estimated the ability to recognize objects according to acceleration value. We estimated the sensing ability of HH smart sensor with the $R_{SAI}$ method. Experiments and analysis were executed to estimate the ability to recognize objects according to acceleration value changing. Dynamic characteristics of HH smart sensor were evaluated relatively through a new $R_{SAI}$ method that uses the power spectrum density. Applications of this method are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safety diagnosis of structure, etc.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.05a
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• pp.318-322
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• 2001

This paper deals with sensing ability of smart sensor that has a sensing ability to distinguish materials according to surface types of smart sensor. We have developed a new signal processing method that can distinguish among different materials. The smart sensor was developed for recognition of materials. We made two types of smart sensors in our experiment. Then, we estimated the ability to recognize objects according to smart sensor type. We estimated the sensing ability of smart sensor with the $R_{SAI}$ method. Experiments and analysis were executed to estimate the ability to recognize objects according to surface types of smart sensor. Sensing ability of smart sensors was evaluated relatively through a new $R_{SAI}$ method. Applications of smart sensors are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safety diagnosis of structure, etc.etc.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.13 no.1
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• pp.22-27
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• 2004

A new method that estimates the sensing ability of HH smart sensor is proposed. The new signal processing method have been developed that can distinguish among different materials relatively. The HH smart sensor was developed far recognition of materials. The HH smart sensor was made for experiment. Then, it was estimated the ability to recognize objects according to acceleration value. The sensing ability of HH smart sensor has been estimated with the $R_{SAI}$ method. Experiments and analysis were executed to estimate the ability to recognize objects according to acceleration value changing. Dynamic characteristics of HH smart sensor were evaluated relatively through a new $R_{SAI}$ method that uses the power spectrum density. Applications of this method are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safety diagnosis of structure, etc.

• 대한상한금궤의학회지
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• v.9 no.1
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• pp.75-83
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• 2017

Objective : This study reports the effect of Kyejiinsam-tang on Atopic Dermatitis. Methods : This is a case report on a patient who has been suffering from Atopic Dermatitis. According to Diagnostic system based on Shanghanlun provisions, Kyejiinsam-tang was provided for 250 days. The severity of Atopic Dermatitis was evaluated by SCORAD index and pictures. Results : When analyzing the patient's history and symptoms, it can be found in article No. 163 in Shanghanlun. The area and intensity of Atopic Dermatitis were reduced when viewed photos findings, and SCORAD index decreased 58.1 to 7.1. So diagnosis and therapies showed valid results in Atopic Dermatitis. Conclusions : Kyejiinsam-tang is efficient to patient of this case report as a treatment.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2002.05c
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• pp.122-126
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• 2002

A diagnostic test of 15.4kV cross-linked polyethylene(XLPE) ultra high voltage power cables from generator in the Soyanggang hydro electric power plant was conducted over 3 months, beginning April 2001. According to the results, in the case of the power cables from generator 1, there was little possibility of proceeding rapid1y to failure or defect because the data from diagnosis doesn't indicate any failure, deterioration or partial discharge. However, in the case of the power cables from generator 2, the. polarization index show a slight abnormal condition of the insulator that is not severe, and the deterioration was also identified as not severe. However, the partial discharge had an abnormal condition which was severe.

• The Journal of the Korean dental association
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• v.48 no.3
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• pp.178-183
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• 2010

Obstructive Sleep Apnea(OSA) is a form of sleep disordered breathing(SDB) characterized by the occurrence of episodes of complete or partial upper airway obstruction during sleep that is often quantified as the apnea-hyponea index(AHI). It is increasingly being recognized that OSA is a public health hazard and there is increasing evidence that it is associated with an increase in morbidity. Early recognition and diagnosis of this condition may lead to earlier treatments (eg, CPAP, Oral appliances) with reduction of the risk of metabolic disease, cardiovascular diseases, such as hypertension, ischemic heart disease, arrhythmias and pulmonary hypertension.

• Proceedings of the KIEE Conference
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• 1998.07c
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• pp.1114-1117
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• 1998

Recent applications of neural networks to power system fault diagnosis have provided positive results and have shown advantages in process speed over conventional approaches. This paper describes the application of neural network to fault detection and classification in distribution lines using the fundamental component, 2-5th harmonics index, even and odd harmonics index, and zero phase current. The Electromagnetic Transients Program (EMTP) is used to obtain fault patterns for the training and testing of neural networks. The proposed fault detection and classification method in distribution lines is obtained by analysing the difference among normal, HIF, ground fault, short circuit fault condition.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.11b
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• pp.922-926
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• 2001

This paper deals with sensing ability of smart sensor that has a sensing ability to distinguish materials according to frequency changing. We have developed a new signal processing method that can distinguish among different materials. The smart sensor was developed for recognition of materials. We estimated the sensing ability of smart sensor with the $R_{SAI}$ method according to frequency changing. Experiments and analysis were executed to estimate the ability to recognize objects according to frequency changing. Sensing ability of smart sensors was evaluated relatively through a new $R_{SAI}$ method. Applications of smart sensors are for finding abnormal conditions of objects (auto-manufacturing), feeling of objects (medical product), robotics, safety diagnosis of structure, etc.etc.