• Journal of the Korea Safety Management & Science
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• v.24 no.1
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• pp.31-38
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• 2022

The most common symptoms of COVID-19 are high fever, cough, headache, and fever. These symptoms may vary from person to person, but checking for "fever" is the government's most basic measure. To confirm this, many facilities use thermographic cameras. Since the previously developed thermographic camera measures body temperature one by one, it takes a lot of time to measure body temperature in places where many people enter and exit, such as multi-use facilities. In order to prevent malfunctions and errors and to prevent sensitive personal information collection, this research team attempted to develop a facial recognition thermographic camera. The purpose of this study is to compensate for the shortcomings of existing thermographic cameras with disaster safety IoT integrated solution products and to provide quarantine systems using advanced facial recognition technologies. In addition, the captured image information should be protected as personal sensitive information, and a recent leak to China occurred. In order to prevent another case of personal information leakage, it is urgent to develop a thermographic camera that reflects this part. The thermal imaging camera system based on facial recognition technology developed in this study received two patents and one application as of January 2022. In the COVID-19 infectious disease disaster, 'quarantine' is an essential element that must be done at the preventive stage. Therefore, we hope that this development will be useful in the quarantine management field.

• Proceedings of the KIEE Conference
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• 1995.07c
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• pp.1371-1374
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• 1995

It is well known that the degradation of transformer oil conseqently lead to the failure of transformer. This paper discussed the characteristics of the degradation sensor checking transformer oil condition in live line. The degadation sensor is composed of base ring, electrodes and porous ceramic, passed through the transformer oil and checks the transformer oil condition through sensor's leakage current. So it is important to minimize the leakage current of base ring and connection parts. To investigate the leakage current of base ring and connection parts the characteristics of V-T-I and DC 2 KV and other examinations were performed. It is verified that ionized transformer oil caused by the expansion of temperature increases in the leakage current of porous ceramic sensor. It is certification that the leakage current of other parts of porous ceramic is very small(about 2%) compared with the porous ceramic body and it is confirmed that the leakage current in porous ceramic is changed sensitively according to the new oil(NO) and and the degradation oil(DO).

• Annals of Clinical Neurophysiology
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• v.19 no.2
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• pp.118-124
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• 2017

Electroencephalography (EEG) is frequently used to assist the diagnosis of brain death. However, to date there have been no guidelines in terms of EEG criteria for determining brain death in Korea, despite EEG being mandatory. The purpose of this review is to provide an update on the evidence and controversies with regarding to the utilization of EEG for determining brain death and to serve as a cornerstone for the development of future guidelines. To determine brain death, electrocerebral inactivity (ECI) should be demonstrated on EEG at a sensitivity of $2{\mu}V/mm$ using double-distance electrodes spaced 10 centimeters or more apart from each other for at least 30 minutes, with intense somatosensory or audiovisual stimuli. ECI should be also verified by checking the integrity of the system. Additional monitoring is needed if extracerebral potentials cannot be eliminated. Interpreting EEG at high sensitivities, which is required for the diagnosis of brain death, can pose a diagnostic challenge. Furthermore, EEG is affected by physiologic variables and drugs. However, no consensus exists as to the minimal requirements for blood pressure, oxygen saturation, and body temperature during the EEG recording itself, the minimal time for observation after the brain injury or rewarming from hypothermia, and how to determine brain death when the findings of ECI is equivocal. Therefore, there is a strong need to establish detailed guidelines for performing EEG to determine brain death.

• 전자공학회논문지 IE
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• v.43 no.1
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• pp.5-15
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• 2006

In this paper, we measured the biosignal using hot-water system(STYX ford202) on foot. The biosignal transition data is observed from hot-water thermotherapy on foot. pre and post demonstration conditions under 43$^{\circ}C$ and 45$^{\circ}C$ are checked about 9 physiological factors for 10 persons and 10 days. (Checking Time: pre-test, post-test(5, 10, 15, 20 minutes)). The biosignal transition of demonstration's results showed as belows; Forehead Temperature($^{\circ}C$): -0.69 $\pm$ 0.01 dec, Leg Temperature($^{\circ}C$): 1.51 $\pm$ 0.22 inc, Blood Flow($m\ell/min$): 1.18 $\pm$ 0.50 inc, Blood Pressure(mmHg): (max) -1.49$\pm$ 2.81, (min) -0.06 $\pm$ 0.13 dec, Heart Rate(bpm): 6.97 $\pm$ 0.72 inc, Blood Sugar($mg/d\ell$) : -2.41 $\pm$ 1.55 dec, Oxygen Saturation(%): 1.34 $\pm$ 0.28 inc, Body Fat(%) -1.75 $\pm$ 0.15 dec, Weight(kg): -0.10 $\pm$ 0.04 dec. (dec: decrease, inc: increase)

• Journal of Korean Academy of Nursing Administration
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• v.12 no.1
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• pp.63-75
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• 2006

Purpose: This study was aimed to specify roles of nurses from the anesthesia and recovery room by analyzing nursing activities as well as anesthesia nursing during surgery. Method: The objects were 12 RNs working in the recovery room of a university hospital located in Incheon. Self-report was performed by measuring stop-watch for five days from May 17th to May 21st in 2004. Research method was designed to record the time and frequency of the nursing activity from anesthesia and recovery room based on nurses' statement and other references for five days. The data were analyzed with descriptive statistics, ANOVA, and t-test via SPSS Win 10.0 program. Result: Nursing activities in anesthesia recovery room were classified into two different characteristics such as direct and indirect nursing activity. The activities consisted of 11 direct nursing areas and 39 nursing activities in anesthesia preparation room. The indirect nursing was classified into 8 nursing areas and 32 nursing activities. The direct nursing was classified into 12 nursing areas and 55 nursing activity. Also, the indirect nursing was classified into 7 nursing areas and 21 nursing activities in recovery room. In terms of prevalence of nursing activities in the anesthesia preparation room, observation and cooperation of anesthesia was the most prevalent activity, drug and eqipment management the second prevalent, and drug administration the third. On the other hand, in the recovery room, the most prevalent activity was vital sign checking and observation, the second most prevalent activity informative activity, and the third body temperature control. Nursing activity time was recorded according to the nursing characteristics. In the anesthesia preparation room, the direct nursing spent for 8092.20 minutes was larger than the indirect nursing spent for 7198.50 minutes. Also, in the recovery room, the direct nursing spent for 2361.16 minutes was larger than the indirect nursing spent for 1134.13 minutes. 4. Nursing activity time was compared to duty shifts. In the anesthesia preparation room, the direct nursing was more prevalent on day shift and the indirect nursing was prevalent on evening shift. However, in the recovery room, both direct and indirect nursing activities were prevalent on day shift. Conclusion: The role of anesthesia and recovery room nurses was analysed according to the time, frequency, and its characteristics.