• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.11
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• pp.2653-2660
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• 2013

Representative sleep disorders represent sleep apnea and snoring. Although researches to diagnose sleep disorders as solutions for these problems are going on, the original researches only diagnose and measure sleep disorders but ones to find out the reasons are not activated much. Therefore, to reinforce this, this paper suggests sleep disorder improvement system based on multi-sensor. To design the system proposed in this paper, the entire system's structure was found and data's flow was planned. To ensure that the system works, mobile application and user interface was built based on Android. To test the results on accuracy of sleep disorders improvement system based on ontology using multi sensor built and planned in this paper, a scenario was written. As a result of testing inference results' accuracy changing factor values of sleep disorders following test scenario, proposed sleep disorders improvement system's accuracy was checked.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.2
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• pp.41-48
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• 2008

Background : Guibi-tang is one of the most common herbs in oriental medicine. Principally, this medicine heals illness from overstress. Therefore, it is frequently used in the ancient community. Because of insufficiency in data, objective judgements are difficult in remedial effects by Guibi-tang. In order to make objectivity diagnose data, this research is developed. Purpose : The aim of the research is to make questionnaire for the medicine and the objective is to sell to the public from the local clinic. Methods : The questionnaire which includes symptoms and signs for diagnose of Guibi-tang is studied by the Delphi method and average value. Results : By the Delphi method and average value, 22 Items of questionnaires are choosen for the research. Conclusions : Further research is necessary for modification of questionnaire by statistics and cerification by clinical trial. The statistics and verification by clinical trial is necessary with modification for further research.

• Journal of the Korean Institute of Gas
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• v.2 no.3
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• pp.88-95
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• 1998

Vibration analysis of rotating machinery can give an indication of possible faults thus allowing maintenance before further damage occurs. Current predictive maintenance system installed in Pyung-tak has the ability to diagnose the mechanical problems within the LNG Pump when the vibration exceeds preset overall alarm levels. In this study, LNG pump auto-diagnosis system based upon Windows NT and DSP Board is developed. This system analysis velocity signal acquired from dual accelerometer input monitor system to diagnose pump condition. Many plots which display machine condition are shown and features of vibration are stored in every time. If the fault is found, the system diagnoses automatically using expert system and trend monitoring. Operator checks pump condition intuitively using personal computer monitor.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.6
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• pp.1-8
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• 2016

As demand for paper cups markedly increases, this has brought about a requirement to develop fast paper cup forming machines. However, the fast manufacturing speed of these machines causes faults to occur more frequently in the final product. To reduce the possibility of producing faulty products, it is necessary to develop technologies to monitor the manufacturing process and diagnose the machine status. In this research, we selected the main driving axis of the forming machine for fault diagnosis. We searched the states of rotational elements related to the driving axis and suggested a fault diagnostic system based on spectrum analysis consisting of a real-time data acquisition device, accelerometers, and a diagnosis algorithm. To evaluate the developed fault diagnostic system, we performed experiments using a test station which resembles the actual paper cup forming machine. As a result, we were able to confirm that the proposed system was sufficiently feasible to diagnose any abnormalities in the operation of the paper cup forming machine.

• Information Systems Review
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• v.16 no.1
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• pp.37-50
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• 2014

Conventional case-based reasoning (CBR) does not perform efficiently for high volume dataset because of case-retrieval time. In order to overcome this problem, some previous researches suggest clustering a case-base into several small groups, and retrieve neighbors within a corresponding group to a target case. However, this approach generally produces less accurate predictive performances than the conventional CBR. This paper suggests a new hybrid case-based reasoning method which dynamically composing a searching pool for each target case. This method is applied to diagnose for the heart disease dataset. The results show that the suggested hybrid method produces statistically the same level of predictive performances with using significantly less computational cost than the CBR method and also outperforms the basic clustering-CBR (C-CBR) method.

• The Journal of the Acoustical Society of Korea
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• v.16 no.6
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• pp.76-84
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• 1997

Loose parts monitoring system(LPMS), which is used to detect metallic loose parts in the nuclear power plant, plays an important role in safe and reliable operation of the plant. To prevent from the damage due to the loose parts, most domestic nuclear power plants are using, or planning to use LPMS. However, these LPMS's, which are all invented from overseas and thereby depend on the oversea technologies, are very expensive, and are known to be inefficient to diagnose loose parts due to the lack of fundamental know-how of LPMS. Therefore, the main purpose of this paper is to propose and to realize a new loose parts localization algorithm which is simple and efficient enough even for the inexperienced operators to diagnose loose parts accurately and promptly. Considering practical nuclear power plant circumstances, some simulations for estimating the loose parts location have been done. The results show that the proposed method, called a modified circle intersection method, performs high resolved loose parts localization with 3.4% of error.

• The Journal of Korean Obstetrics and Gynecology
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• v.23 no.2
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• pp.116-123
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• 2010

Purpose: During Postpartum period many women complain multiple pain, cold hypersensitivity, hot flush, sweating and so on. We call the postpartum disease as San Hu Pung. We studied DITI Characters of women suffering from Postpartum disease. Methods: We studied 74 postpartum women visiting OOhospital from February 2006 to December 2009. The subjects were categorized in two groups, symptom group and no symptom group. We measured the temperatures of abdomen, upper and lower limb and back. We studied the difference of DITI between two groups by Student T-test using SPSS for windows(version 17.0). Results: The general characteristics were not different statistically. Temperatures of abdomen and back of two groups were not different statistically. Temperatures of both LR3 of symptom group were statistically higher than no symptom group. The difference of both PC8 and LU4, both LR3 and ST32 of symptom group were statistically higher than no symptom group. Conclusion: The results suggest that women suffering from Postpartum disease shows high temperatures on hand and foot. It seems that postpartum disease patients tend to have blood deficiency. DITI can be useful to diagnose San Hu Pung. More studies to diagnose San Hu Pung would be needed.

• Journal of Oriental Neuropsychiatry
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• v.11 no.1
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• pp.59-73
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• 2000

Depression is a psychiatric syndrom consisting of dejected mood, psychomotor retardation, insomnia and weight loss, sometimes associated with irrational guilt feeling. And it is also similiar to Hwa-byung(火病) symptom in oriental medicine. But it is difficult to diagnose with objective method. Digital Infrared Thermographic Imaging(D.I.T.I.) is one of diagnotic method that measure the changes of skin temperature in body. Specially we checked the skin temperature on depressed patients by using D.I.T.I. and compared with Bell's palsy patients and normal persons group. The results are as follows; Average body temperature of the depressed patient group is $36.68{\pm}0.43^{\circ}C.$ and that of the control group is $36.73{\pm}0.40^{\circ}C.$. So there is no meaningful difference. The depressed patient group has higher temperature than the control group by ${\triangle}T>1.0^{\circ}C$ at the following acupuncture points in these body parts - upper and lower, left and right, anterior and posterior. When acupuncture points temperature was compared superior and inferior part of the body, depressed patient group have meaningful difference at the GV-4(Myung-moon) and also in the control group. When acupuncture points temperature was compared left and right part of the body, depressed patient group have no meaningful difference and also in the control group. When acupuncture points temperature was compared in the anterior and posterior part of the body, depressed patient group have meaningful difference at the GV-4(Myung- moon) and also in the control group. From this study, we think that D.I.T.I. could be used to diagnose objectively on the depressed patients and useful to another psychoneurogenic diagnosis in oriental medicine.

• Proceedings of the KIEE Conference
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• 1997.11a
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• pp.348-350
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• 1997

Because of internal voids ininsulators give rise to partial discharge(PD), which cause local breakdown and even entire insulation breakdown. Treeing due to PD is one of the main causes of breakdown of the insulating materials and reduction of the insulation life. Therefore the necessity for establishing a method to diagnose the aging of insulation materials and to predict the breakdown of insulation has become important. From this viewpoint, our studies diagnose insulation degradation using the method of computer sensing system, which has the advantages of PD and acoustic emission(AE) sensing system. To use advantages of these two methods can be used effectively to search for treeing location and PD in some materials. In analysis method of degradation. We analyzed the PD pulse and AE pulses by regression analysis, compared to these obtained the correlation coefficient and determination coefficient by T-distribution and saw that PD and AE pulses show a similar pattern on the whole. Finally using statically operator such as the center of gravity(G), the gradient of the discharge distribution(C), we have analyzed for the prediction of life which we can be obtained the time, occurred of many pulse of small discharge amplitude.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.19 no.3
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• pp.75-84
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• 2005

Since an unexpected fault of induction motor drive systems can cause serious troubles in many industrial applications, which the technique is required to diagnose faults of a voltage-fed PWM inverter for induction motor drives. The considered fault types are rectifier diodes, switching devices and input terminals with open-circuit faults, and the signal for diagnosis is derived from motor currents. The magnitude of dq-current trajectory is used for the feature extraction of a fault and PCA LDA are applied to diagnose. Also, we show results with respect to the execution time because of the possibility to use that a diagnosis software is embedded in the controllers of medium and small size induction motors drive for real-time diagnosis. After we performed various simulations for the fault diagnosis of the inverter, the usefulness of proposed algerian was verified.