• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.197-205
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• 2022

The Cyber Physical System(CPS) is an important concept in achieving SMSs(Smart Manufacturing Systems). Generally, CPS consists of physical and virtual elements. The former involves manufacturing devices in the field space, whereas the latter includes the technologies such as network, data collection and analysis, security, and monitoring and control technologies in the cyber space. Currently, all these elements are being integrated for achieving SMSs in which we can control and analyze various kinds of producing and diagnostic issues in the cyber space without the need for human intervention. In this study, we focus on implementing a production equipment monitoring system related to building a SMS. First, we describe the development of a fog-based gateway system that links physical manufacturing devices with virtual elements. This system also interacts with the cloud server in a multimedia network environment. Second, we explain the proposed network infrastructure to implement a monitoring system operating on a cloud server. Then, we discuss our monitoring applications, and explain the experience of how to apply the ML(Machine Learning) method for predictive diagnostics.

• Proceedings of the Korean Society of Laser Processing Conference
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• 2000.11a
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• pp.23-26
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• 2000

This paper introduces a cleaning process for removing submicron-sized particles from NiP hard disk substrates by the liquid-assisted laser cleaning technique. Measurements of cleaning performance and time-resolved optical diagnostics are performed to analyze the physical mechanism of contaminant removal. The results reveal that nanosecond laser pulses are effective for removing the contaminants regardless of the wavelength and that a thermal mechanism involving explosive vaporization of liquid dominates the cleaning process.

• Laser Solutions
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• v.4 no.2
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• pp.39-45
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• 2001

This paper introduces a cleaning process for removing submicron-sized particles from NiP hard disk substrates by the liquid-assisted laser cleaning technique. Measurements of cleaning Performance and time-resolved optical diagnostics are Performed to analyze the physical mechanism of contaminant removal. The results reveal that nanosecond laser pulses are effective for removing the contaminants regardless of the wavelength and that a thermal mechanism involving explosive vaporization of liquid dominates the cleaning process.

• Korean Journal of Acupuncture
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• v.33 no.3
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• pp.102-113
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• 2016

Objectives : This study is aimed at developing and discussing the prediction model of blood stasis pattern of traditional Korean medicine(TKM) using machine learning algorithms: multiple logistic regression and decision tree model. Methods : First, we reviewed the blood stasis(BS) questionnaires of Korean, Chinese, and Japanese version to make a integrated BS questionnaire of patient-reported outcomes. Through a human subject research, patients-reported BS symptoms data were acquired. Next, experts decisions of 5 Korean medicine doctor were also acquired, and supervised learning models were developed using multiple logistic regression and decision tree. Results : Integrated BS questionnaire with 24 items was developed. Multiple logistic regression models with accuracy of 0.92(male) and 0.95(female) validated by 10-folds cross-validation were constructed. By decision tree modeling methods, male model with 8 decision node and female model with 6 decision node were made. In the both models, symptoms of 'recent physical trauma', 'chest pain', 'numbness', and 'menstrual disorder(female only)' were considered as important factors. Conclusions : Because machine learning, especially supervised learning, can reveal and suggest important or essential factors among the very various symptoms making up a pattern identification, it can be a very useful tool in researching diagnostics of TKM. With a proper patient-reported outcomes or well-structured database, it can also be applied to a pre-screening solutions of healthcare system in Mibyoung stage.

• The Journal of Korean Medicine
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• v.37 no.3
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• pp.62-73
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• 2016

Objectives: Dropout and weight regain are common problems in most obesity treatments. The purpose of this study was to review previously published study results of the predictive factors associated with dropout during weight loss treatment and weight loss maintenance after successful weight loss. Methods: Authors searched for the articles related to dropout and weight loss maintenance, published from 2007 to 2016 found on Pubmed, Scopus, RISS, and KISS. A total of 19 articles were finally selected. From the study results, unchangeable and changeable predictors were extracted, and these predictors were examined according to dropout and weight loss maintenance categories. Results: The unchangeable predictors of dropout were younger age, lower education level and female, whereas the changeable predictors of dropout were lower initial weight loss, symptoms of depression and body dissatisfaction. The strongest factor for predicting the dropout was initial weight loss. The unchangeable predictors of weight loss maintenance were old age, male and family history of obesity, whereas the changeable predictors of weight loss maintenance were regular exercise, dietary restraint, self-weighing and low depressive symptoms. Initial weight loss, depressive symptoms, body image, dietary restraint, physical activity, weight loss expectation and social support were considered to be dominant factors for weight loss treatments. Conclusions: Our review results suggest that unchangeable and changeable predictors of dropout and weight loss maintenance should be carefully examined during treatments of obesity.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.19 no.2
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• pp.91-100
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• 2015

Objectives The aim of this study is to develop a structured clinical protocol related with acquisition of radial pulse wave in the randomized, $2{\times}2$ cross-over design, and cold-heat intervention trial for a pilot and preliminary study. Methods The protocol was contrived based on wide ranging literature searches for cold-heat intervention experiments and radial pulse diagnoses. Results Sample size of 60 subjects was calculated based on an effect size derived from the previous study designed to detect the pre-post cold-heat differences in the radial pulse. Each subjects will be randomly assigned to the cold (first) to heat (last) group (n=30) or heat (first) to cold (last) group (n=30). All subjects will fill out a case report form and questionnaires related with pattern identification, dietary patterns, sleep quality, and physical activity will be surveyed and used as a secondary outcomes. Safety assessment will be reported at the final stage. Conclusions This protocol will provide an additional reference to future studies related with observation of radial pulse during any interventions and also expect to be used as a guideline for acquisition of reliable radial pulse wave data.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.22 no.1
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• pp.19-31
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• 2018

For the purpose of the basic educated-establishment on the diagnostic methods of "facial color and shape which reflect human's spiritual essence and personality", we study on the diagnostic value and application of the human face. The study's domain is divided the form and color of human face. And the form and color of human face is respectively observed the diagnostic value and contents. The form of human face reflect plenty the information of the mankind, and the observation of the face is applied to the "Physiognomie" refering to the external features of humans. Therefore the diagnosis on the form of human face is the primary factor in the grouping of five-element human, the discrimination of the Sasang constitution, and the classification of Hyunsang type. The color of human face reflect the physical information of internal organs and the pathological change of disease, therefore we examine the region, character and grade of disease by the inspection of complexion including the changes of color and luster of the facial skin. The inspection on the color is also the primary factor in the grouping of five-element human, the classification of Hyunsang and the differentiation of syndromes. The value of the inspection of complexion including the changes of color and form of the face is widely known. In the future, we think, we need to study more about the theory of the diagnostic value and application of the human face.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.14 no.1
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• pp.15-35
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• 2010

Objectives : The purpose of this study is to find out the correlation between the Vocal indicators and the 'Buzhongyiqi-Tang questionnaire' and the 'Chalder fatigue scale.' Methods : This study examined the mean value of each factor in the 'Buzhongyiqi-Tang Questionnaire,' 'Chalder fatigue scale' and the different voice indicators conducted on 81 healthy adult participants in relation to the results of the /a/ /e/ /i/ /o/ /u/ pronunciation test. Results : There was significant correlation between the pronunciation of /a/ /e/ /i/ /o/ /u/ vowels' F0 indexes and 'the Deficiency symptoms of Buzhongyiqi-Tang'. The results of the regression analysis showed the following significant findings for each pronouncing vowels: /i/ as a factor for 'the Deficiency symptoms of Buzhongyiqi-Tang'.; /a/ for 'the Consumptive fever of Buzhongyiqi-Tang'.; /i/ for 'the Vocal inflammation of Buzhongyiqi-Tang.; and /e/ as a factor of 'the Chadler physical fatigue'. Conclusions : The study showed a negative correlation between the Fundamental Frequency and the mean value of the questionnaire, which could be understood as higher the fatigue level, increased level of vocal vibration and higher pitch tone compared to the less fatigued group. We expect future studies to conduct research on methods to diagnose other illnesses using the vocal indicators based on the correlation between the vocal index and illnesses prescribed under traditional oriental medicine.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.14 no.2
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• pp.13-24
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• 2010

Background and purpose: Seven Emotions consist of Joy(喜), Anger(怒), Anxiety(憂), Thought(思), Sorrow(悲), Fear(恐), Fright(驚). If Seven Emotion is excessive, its extreme mental stimulation causes physical illness. There was no study of the Seven Emotion Disease in detail for now. Therefore the purpose of this study is to pigeonhole the Seven Emotion Disease. Methods: We extract the sentences about the Seven Emotion and related words in Donguibogam. We classify the sententences into Joy(喜), Anger(怒), Anxiety(憂), Thought(思), Sorrow(悲), Fear(恐), Fright(驚), Frustration, Mental Exhaustion, Character. We analysis pattern of Symptoms Derived from Seven Emotions. Results and Conclusions Seven Emotion give rise to various type of symptom. In special Anger cause more illness than other Seven Emotion.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.15 no.2
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• pp.141-148
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• 2011

Objectives: In comparison with functional dyspepsia, food accumulation is known to have wider concept. On this study, we will make a proposal on the concept of food accumulation by a statistical comparison between pyungweesan questionnaire and health related questionnaires. Methods: We studied the similarities between six factors of pyungweesan questionnaire and four health related questionnaires(Rome II criteria of functional dyspepsia, subjective symptoms of fatigue test, beck depression inventory, state-trait anxiety inventory, etc.) using multidimensional scaling. Results and Conclusions: 1. Physical-emotional axis and acute-chronic axis were labelled in a two-dimensional scaling solution. 2. Seup-dam(濕痰) factor and sik-che(食滯) factor of food accumulation were closely related to fatigue. 3. Bi-seup(脾濕) factor of food accumulation was closely related to depression and anxiety. 4. The findings suggest that a concept of food accumulation reflects some aspects of physical fatigue and emotional depression as well as dyspepsia.