• Journal of Digital Convergence
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• v.13 no.1
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• pp.495-502
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• 2015

The main goal of psychological serious game, which is called "SAVE ME, LOVE ME" made on the purpose of sound identity for teenagers is to reach inner awareness through the process of dilemma problem solving by the support of unconditional love. This action game is about how to deal with routine dilemma through the first person narration that teenagers are faced to. Its features are on the metaphorical use of 'A Prodigal Son' in the Bible, one of religious wisdom narratives to heal the psychological stresses which teenagers suffer from. This game is aimed at helping teenagers to build a positive and solid sense of self by fighting against growing threatens to teenager's solid sense of self, by defeating monsters, and by listening to the various stories which game characters tell.

• Tuberculosis and Respiratory Diseases
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• v.67 no.5
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• pp.430-435
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• 2009

Background: Thus far, research studies on community-acquired pneumonia (CAP) have focused on its clinical severity. Recently, it has been determined that procalcitonin (PCT) level is correlated with severity of CAP. A retrospective study conducted at our hospital used risk predictability and PCT to determine whether or no PCT is useful in assessing the severity of CAP. Methods: This study covered 92 CAP cases that were admitted to the respiratory department at Changwon Fatima Hospital between July 1, 2008 and June 30, 2009. All enrolled subjects were measured for infection markers and risk predictability. Results: Based on hospital admission data, enrolled subjects had Pneumonia Severity Index (PSI) scores serving as risk predictors showed that both PCT and white blood cell (WBC) were statistically significant as infection markers (p=0.001, 0.037). Thus, this study used ROC curves in PSI for data analysis. As a result, it was determined that the area under curve (AUC) of PCT and WBC was 0.694 and 0.593 respectively, indicating that PCT has a higher test value for WBC, when PCT was higher than 0.745 ng/mL. In addition, it was found that PCT levels higher than 0.745 ng/mL had higher PSI scores than the group with PCT lower than 0.745 ng/mL (p=0.032). Conclusion: In order to predict risk of pneumonia cases admitted due to symptoms of CAP, it is important to consider PCT as well as PSI, and follow-up monitoring of PCT cases.

• Journal of Environmental Health Sciences
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• v.27 no.2
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• pp.37-42
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• 2001

Zebrafish(Brachdanio rerio)를 실험어류로 하여 methidathion 과 phosalone의 생물농축계수(bioconcentration factor : BCF)와 배설속도상수 (depuration rate constant) 및 LC$_{50}$를 측정하였다. Methidathion의 24, 48, 72, 96시간 LC$_{50}$는 각각 28.34, 35.98, 24.43, 22.03 mg/$\ell$로 측정되었다. Methidathion 0.22 mg/$\ell$(고농도)와 0.022 mg/$\ell$(저농도)에서 어류 체내에서의 농축정도는 두 농도군에서 각각 12시간 이후에 정류상태에 도달하여 72시간동안 거의 일정하였고, BCF값도 12시간에서 72시간 사이에 고농도와 저농도에서 8.72(n=4)와 11.25(n=4)로 조사되었다. 배설속도상수는 고농도와 저농도에서 6시간 이내에 모두 배설되어 배설속도상수를 구할 수 없었다. Phosalone의 24, 48, 72, 96시간 LC$_{50}$는 각각 3.76, 2.43, 1.86, 1.05 mg/$\ell$로 측정되었다. Zebrafish 체내에서의 농축정도와 BCF값은 고농도(0.01 mg/$\ell$)에서 12시간 이후에 정류상태에 도달하여 72시간동안 거의 일정하였고, BCF값은 12시간에서 72시간 사이에 48.88(n=4)로 측정되었다. 저농도(0.001 mg/$\ell$)에서는 실험 전기간동안 zebrafish 체내에서 phosalone이 검출되지 않아 BCF값을 산출할 수 없었다. Zebrafish 체내에서 phosalone(고농도)의 배설속도상수와 반감기를 구하기 위하여 6,12시간의 배설실험 결과 각각 0.17$hr^{-1}$과 4.01 시간이었다. Methidathion과 phosalone의 BCF값은 phosalone이 methidathion 보다 약 5배 정도 높게 나타났으며, 농약의 배설속도는 phosalone이 methidathion보다 빨랐다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1901-1906
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• 2010

This classification of walking patterns is important and many kinds of applications. Therefore, we attempted to classify walking on level ground from slow walking to fast walking using a waist acceleration signal. A tri-axial accelerometer was fixed to the subject's waist and the three acceleration signals were recorded by bluetooth module at a sampling rate of 100 Hz eleven healthy. The data were analyzed using discrete wavelet transform. Walking patterns were classified using two parameters; One was the ratio between the power of wavelet coefficients which were corresponded to locomotion and total power in the anteroposterior direction (RPA). The other was the ratio between root mean square of wavelet coefficients at the anteroposterior direction and that at the vertical direction(RAV). Slow walking could be distinguished by the smallest value in RPA from other walking pattern. Fast walking could be discriminated from level walking using RAV. It was possible to classify the walking pattern using acceleration signal in healthy people.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2491-2496
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• 2010

The DFA(detrended fluctuation analysis) which is included the correlation property of the EEG is used to analysis the depth of anesthesia. We studied ASA I or II adult patients supported by the society of anesthesiologists. Patients with history of dementia and neurological disorder are excluded. Average age is $48.9{\pm}10.9$ old, average weight is $57.1{\pm}8.2$ kg and average hight is $158{\pm}6.6$cm of the patients under the operation. Anesthesia medicine is Sevoflurane and the stages of anesthesia are 6 stages, that is pre-operation, induction, right after induction, stop the medicine and post-operation. Among the scaling exponent ${\alpha}1$, ${\alpha}2$, ${\alpha}3$ we know that ${\alpha}1$, ${\alpha}3$, were well appeared to discriminate pre-operation, induction, right after induction, stop the medicine and post-operation. So we confirmed that the parameters is useful to the depth of anesthesia.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.1926-1938
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• 2009

In this study, detection system of the blood flow variation rate was implemented using the variation effect of bio electric impedance at time of the blood pressure measurement by means of impedance method. The blood pressure measurement was performed by the oscillometric method. The mean arterial pressure was calculated using maximum amplitude algorithm. The systolic and diastolic pressure were estimated by establishment of the various characteristic ratio according to mean arterial pressure range. Alternative static current source and lock_in amplifier were introduced to impedance measurement. The variation of blood volume was measured using variation bio impedance according to induced cuff pressure at measuring area.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.3
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• pp.132-137
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• 2019

The amount of data generated from medical images is increasingly exceeding the limits of professional visual analysis, and the need for automated medical image analysis is increasing. For this reason, this study evaluated the classification and accuracy according to the presence or absence of tumor using Inception V3 deep learning model, using MRI medical images showing normal and tumor findings. As a result, the accuracy of the deep learning model was 90% for the training data set and 86% for the validation data set. The loss rate was 0.56 for the training data set and 1.28 for the validation data set. In future studies, it is necessary to secure the data of publicly available medical images to improve the performance of the deep learning model and to ensure the reliability of the evaluation, and to implement modeling by improving the accuracy of labeling through labeling classification.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.23 no.1
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• pp.76-85
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• 2010

In general, anesthetic depth is evaluated by experience of anesthesiologist based on the changes of blood pressure and pulse rate. So it is difficult to guarantee the accuracy in evaluation of anesthetic depth. The efforts to develop the objective index for evaluation of anesthetic depth were continued but there was few progression in this area. Heart rate variability provides much information of autonomic activity of cardiovascular system and almost all anesthetics depress the autonomic activity. Novel monitoring system which can simply and exactly analyze the autonomic activity of cardiovascular system will provide important information for evaluation of anesthetic depth. We investigated the anesthetic depth as following 7 stages. These are pre-anesthesia, induction, skin incision, before extubation, after extubation, Post-anesthesia. In this study, temporal, frequency and chaos analysis method were used to analyze the HRV time series from electrocardiogram signal. There were NN10-NN50, mean, SDNN and RMS parameter in the temporal method. In the frequency method, there are LF and HF and LF/HF ratio, 1/f noise, alphal and alpha2 of DFA analysis parameter. In the chaos analysis, there are CD, entropy and LPE. Chaos analysis method was valuable to estimate the anesthetic depth compared with temporal and frequency method. Because human body was involved the choastic character.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.22 no.6
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• pp.537-545
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• 2009

In this paper, new parameters were developed to estimate the depth of anesthesia during a general anesthesia using EEG. Power spectral density(PSD) analysis was used for these parameters because EEG became slow wave during anesthesia. The new parameters were DTR, ATR, TDR, ADR, BTR and BDR applied to PSD. These parameters were compared with SEF which is conventionally used at clinic and confirmed clinical value. As the results, DTR, ATR, TDR, ADR among parameters were not useful compared with SEF but BTR and BDR is valuable for clinic. 15 patents, at pre-operation BDR the value is $265.36{\pm}25.29$, at induction the value is $129.23{\pm}34.92$, at operation the value is $154.99{\pm}38.34$, at awaked the value is $283.83{\pm}39.80$ and at post-operation the value is $234.80{\pm}23.46$. Also at pre-operation BTR value is $183.38{\pm}13.59$, at induction the value is $104.09{\pm}25.11$, at operation the value is $115.38{\pm}23.42$, at awaked the value is $190.33{\pm}23.31$ and at post-operation the value is $172.38{\pm}19.08$. Trend of BDR and BTR is similar to change of SEF, so two parameters are useful. to estimate the depth of anesthesia.

• Journal of radiological science and technology
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• v.36 no.2
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• pp.141-148
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• 2013

The CT examination sometimes fail to localize the cerebral hemorrhage part depending on the seriousness and may embarrass the pathologist if he/she is not trained enough for emergencies. Therefore, an assisting role is necessary for examination, automatic and quick detection of the cerebral hemorrhage part, and supply of the quantitative information in emergencies. the computer based automatic detection and recognition system may be of a great service to the bleeding part detection. As a result of this research, we succeeded not only in automatic detection of the cerebral hemorrhage part by grafting threshold value handling, morphological operation, and roundness calculation onto the bleeding part but also in development of the PCA based classifier to screen any wrong choice in the detection candidate group. We think if we apply the new developed system to the cerebral hemorrhage patient in his critical condition, it will be very valuable data to the medical team for operation planning.