• Journal of Korean Medical classics
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• v.21 no.1
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• pp.123-141
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• 2008

Objective Classification of herbal formulas through the analysis of compositional herb's is a suitable method in the aspects of the effective applications of herbal formulas. However, these classification methods have some problems in dealing with lots of herbal formulas because the estimations of herbal formula's effects are dependent upon one's memory. In this study, we aimed to establish the effective methodology to elicit the classified herbal formula's chart by introducing the DB systems without interfering with non-standard terms. Method : We entered the herbs informations of the composition of herbal formulas into database, made an alias tables of corresponding herbs, and achieved standardization of herb's informations. Using these databases, we made the classified herbal formula's chart according to the presence and the treatment informations of herbs. Results By analyzing the herbal formula into the set of compositional herbal elements, we could systemically express the parents and children herbal formula at once according to search terms. We provided the advanced searching tools entering the name of herbal formula and compositional herb together. Through these searching methods, it is facilitated to grasp the classified herbal formula's chart according to the addition and reduction of compositional herbs in Dong-uibogam(東醫寶鑑) and Bangjehak(方劑學)

• Progress in Medical Physics
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• v.25 no.3
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• pp.185-192
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• 2014

The purpose of this study is to evaluate the results for the quality assurance through a statistical analysis on the output characteristics of linear accelerators belonging to Yeungnam University Medical Center by using the Shewhart-type chart, Exponentially weighted moving average chart (EWMA) chart, and process capability indices $C_p$ and $C_{pk}$. To achieve this, we used the output values measured using respective treatment devices (21EX, 21EX-S, and Novalis Tx) by medical physicists every month from September, 2012 to April, 2014. The output characteristics of treatment devices followed the IAEA TRS-398 guidelines, and the measurements included photon beams of 6 MV, 10 MV, and 15 MV and electron beams of 4 MeV, 6 MeV, 9 MeV, 12 MeV, 16MeV, and 20 MeV. The statistical analysis was done for the output characteristics measured, and was corrected every month. The width of control limit of weighting factors and measurement values were calculated as ${\lambda}=0.10$ and L=2.703, respectively; and the process capability indices $C_p$ and $C_{pk}$ were greater than or equal to 1 for all energies of the linear accelerators (21EX, 21EX-S, and Novalis Tx). Measured values of output doses with drastic and minor changes were found through the Shewhart-type chart and EWMA chart, respectively. The process capability indices $C_p$ and $C_{pk}$ of the treatment devices in our institution were, respectively, 2.384 and 2.136 for 21EX, 1.917 and 1.682 for 21EX-S, and 2.895 and 2.473 for Novalis Tx, proving that Novalis Tx has the most stable and accurate output characteristics.

• Communications for Statistical Applications and Methods
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• v.21 no.6
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• pp.471-486
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• 2014

This study introduces a new type of symbolic data, a candle chart-valued time series. We aggregate four stock indices (i.e., open, close, highest and lowest) as a one data point to summarize a huge amount of data. In other words, we consider a candle chart, which is constructed by open, close, highest and lowest stock indices, as a type of symbolic data for a long period. The proposed candle chart-valued time series effectively summarize and visualize a huge data set of stock indices to easily understand a change in stock indices. We also propose novel approaches for the candle chart-valued time series modeling based on a combination of two midpoints and two half ranges between the highest and the lowest indices, and between the open and the close indices. Furthermore, we propose three types of sum of square for estimation of the candle chart valued-time series model. The proposed methods take into account of information from not only ordinary data, but also from interval of object, and thus can effectively perform for time series modeling (e.g., forecasting future stock index). To evaluate the proposed methods, we describe real data analysis consisting of the stock market indices of five major Asian countries'. We can see thorough the results that the proposed approaches outperform for forecasting future stock indices compared with classical data analysis.

• Journal of Physiology & Pathology in Korean Medicine
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• v.22 no.1
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• pp.1-12
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• 2008

This study is a report on the restoration process and future projects involving the restoration of the medical records from 1914 to 1974. Cheong-Gang Young-Hoon Kim was born in 1882 and passed away in 1974. His times were the times when Korean Traditional Medicine was being neglected due to the introduction of Western Medicine through Japan. During this time Young-Hoon Kim put much effort into the Korean Traditional Medicine Restoration Movement and left over 150,000 medical records while consistently examining patients. Currently, this data can be found at the College of Oriental Medicine, Kyunghee University and is being compiled into a database as a part of the 2007 Knowledge of Oriental Medicine Web Service Project. The Preface and Chapter 1 introduce the author and the contents of the Cheong-Gang Medical Records, and Chapter 2 briefly discusses the necessity of providing digitalization and modernization to the medical records. Chapter 3 discusses the preservation process of the original medical records, chapter 4 describes the process of restoring and providing web access to the contents of the medical records, and chapter 5describes the main purpose of the medical records as well as future projects and an outlook involving the Knowledge of Oriental Medicine Web Service Project.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.224-226
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• 2019

Currently, medical data is basically confidential and difficult to access because it is protected under the Medical Protection Act. For the practical education of the students who are in the process of education, the researcher or the faculty members create and upload simulated data (chart of the question bank) close to the actual data. In this paper, the maintenance and repair easier on the basis of node.js and Ajax, mysql, jquery to a web-based research and enables users to easily approach the problem of the chart and the easy to the difficult access to patient contact respectively.

• Journal of Biomedical Engineering Research
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• v.43 no.5
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• pp.299-307
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• 2022

In this paper, we propose a pre-processing method that converts to Spider Chart image data for classification of gripping movement using EMG (electromyography) sensors and Convolution Neural Networks (CNN) deep learning. First, raw data for six hand gestures are extracted from five test subjects using an 8-channel armband and converted into Spider Chart data of octagonal shapes, which are divided into several sliding windows and are learned. In classifying six hand gestures, the classification performance is compared with the proposed pre-processing method and the existing methods. Deep learning was performed on the dataset by dividing 70% of the total into training, 15% as testing, and 15% as validation. For system performance evaluation, five cross-validations were applied by dividing 80% of the entire dataset by training and 20% by testing. The proposed method generates 97% and 94.54% in cross-validation and general tests, respectively, using the Spider Chart preprocessing, which was better results than the conventional methods.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.291-297
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• 2007

Linking patient's medical records throughout country is required to get patient's accurate information which is helpful for doctor to diagnosis patient's symptoms more exactly. With shortening of time and preventing of retest, patient can be survived or alleviate suffering. Purpose of this paper is to design combined identification system linking patient's RFID card with medical digitalized Chart to share patient's information between the hospitals. With research and review of pre-studied related identification system, standardization, and UCI-RFID linkage study, SPMR(sharing patient's medical record) has been designed for doctors to make a medical treatment properly at the right time and alleviate patient's pain. SPMR(sharing patient's medical record) which will take information needed and pay for information usage to related hospitals has been designed for doctors to make a medical treatment properly at the right time and alleviate patient's pain.

• Journal of Korean Medical classics
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• v.21 no.1
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• pp.143-151
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• 2008

Objective : Classification of herbal formulas through the analysis of compositional herb's is a suitable method in the aspects of the effective applications of herbal formulas. However, these classification methods have some problems in dealing with lots of herbal formulas because the estimations of herbal formula's effects are dependent upon one's memory. In this study, we aimed to establish the effective methodology to elicit the classified herbal formula's chart by introducing the DB systems without interfering with non-standard terms. Results : We have known that this plan is realized by follow methods. We entered the herbs informations of the composition of herbal formulas into database, made an alias tables of corresponding herbs, and achieved standardization of herb's informations. Using these databases, we made the classified herbal formula's chart according to the presence and the treatment informations of herbs.

• Journal of radiological science and technology
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• v.44 no.4
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• pp.375-380
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• 2021

This study aim was quantitative assessment of MTFs of spectrum of the square wave chart images and Coltman chart images for 0°, 1.7°, 2.2°, 2.9°, 4.1° by using chart method. In general device was AccuRay-650 (DK Medical System, Korea) used, indirect flat panel detector(FPD) Aero (Konica, Japan) used and MATLAB R2019a (MathWorks, USA) used. The result of comparison for each angle of MTF the edge image was highest quantitatively value for MTF finding of showed the best value of 0.1 based on the frequency of 3.5 mm^-1, value of 0.1 based on the square wave was frequency of 3.0 mm^-1 and value of 0.1 based on the Coltman transform was frequency of 2.4 mm^-1. In this study it was significant that the methodology of the international Electro-technical Commission was applied mutandis by using the Fujita method within 2~3°.

• Journal of the Korean Society of School Health
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• v.22 no.1
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• pp.61-65
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• 2009

AIMS: Korean National Growth Chart was newly developed at 2007. Prevalence of obesity is expected to be changed according to reference data. This study was performed to compare the prevalence of obesity based on the newly developed growth curve with that of previous data. We also investigate the incidence of obesity, overweight, and normal criteria by two kinds of growth curves. Method: We obtained weight, height from 438 middle school students and 1786 high school students. We divided enrolled students into four groups (middle school boys, middle school girls, high school boys, high school girls). The obese, over weight group was defined as BMI(body mass index) more than 95th, 85th${\sim}$94th percentile respectively for age and sex. Obesity by relative weight was defined more than 20% of ideal body weight. We compare the prevalence of obesity in each group by the newly developed Korean National Growth Chart in 2007 and that in 1998. Result: Prevalence of obesity by BMI based on 2007 Korean National Growth Chart and that in 1998 were 8.2-12.9% and 9.0-20.4% respectively. The concordance rate were 99.0%-100% in obese group and 45.0%-91.9% in overweight group according to two kinds of reference data. Prevalence of obesity by relative weight was 11.7-23.0% that was same between 2007 Korean National Growth Chart and that in 1998 except middle school boys group. Conclusion: We found that there is a decrease in prevalence of Obesity by BMI based on 2007 Korean National Growth Chart. It is necessary to evaluate correlation between criteria for obesity and obesity related comorbid conditions for finding proper BMI or relative weight cut off value to prevent obesity and obesity related complications effectively.