• (The)Study of the Eastern Classic
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• no.54
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• pp.289-318
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• 2014

The purpose of this study was to compare Gwonbeop motions among "Gihyosinseo", "Mubiji", "Muyejaebobunyuksokjib" and to analysis catalogue of books on Gwonbeop for comprehensive interpretation in "Muyedobotongji". the conclusion through literature review was as follows. First, There were total 16 references which were composed of 14 references of China and 2 references of Korea. In particular there was no reference of Japan for Gwonbeop. In detail, unrepresentative references of China were "Hanseo", "Gihyosinseo", "Mubiji" and unrepresentative reference of Korea was Muyejaebobunyuksokjib". Second, We compared motions of Gwonbeop between China and Korea. There were located 5 motions such as Gyungakguheese(False Prey Posture), Gigose(Flag Beating Posture), Ahnshichukshinse(Goose Wing Posture), Jumjoose(Picking Elbow Posture), Pogase(Throwing Shelf Postere). In other three references unmentioned "Mubiji" there were located 8 motions such as Jungranse(Spring Railing Posture), Gichukgakse(Ghost Kicking and Leg Striking Postere), Jidangse(Open Finger Attacking Posture), Soodoose(Beast Head Shield Posture) Shingwon(Heavenly Fist Posture), Il-jopyunse(Whipping Lunging Posture), Jakjiryongse(Dragon Prey Snatching Posture), Joyangsoose(Slanting Hero Hand Posture), In two references of Korea there were located 2 unique motions such as Nachaluichoolmun Gakabyunhase(Low Encountering Posture), Gumgyedongnipse(Single Leg Throwing Postere). Third, Most of all we found two kinds of unique motions such as Chukcheonse and Eungswaeik on "Muyejaebobunyuksokjib" and such as Nachaluichoolmun Gakabyunhase(Low Encountering Posture), Gumgyedongnipse (Single Leg Throwing Postere) on "Muyedobotongji". Based on chronological table although "Gihyosinseo" is the longest literature, there was begun changing techniques in details on literatures of Korea. Transformed into techniques of Gwonbeop on Korea could be supposed that those skills were reflected in society and culture of the Joseon Dynasty. To sum it up, Gwonbeop of "Muyedobotongji" was written by "Gihyosinseo", "Mubiji", "Muyejaebobunyuksokjib" but most motions of Gwonbeop were begun to change gradually except 5 motions of "Gihyosinseo". Especially, there were 8 unique motions which could not be found in references of China. Those unique motions of Korea literatures were living proof of attempting transfiguration from motions of China. The significance of this study was to be able to put stepping-stone to interpretate history of Taekwondo which takes center stage on bare hands martial arts and analyzed the meaning of historical martial arts on Gwonbeop in Joseon Dynasty.

• Conservation Science in Museum
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• v.29
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• pp.1-32
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• 2023

The Paintings of a 60^th Wedding Anniversary Ceremony Created by an Unknown Painter (Deoksu 6375), housed by the National Museum of Korea, is a five-panel painting book depicting scenes from a wedding ceremony. Hoehonrye is a type of repeated wedding ceremony to commemorate a couple's 60th wedding anniversary with congratulations from the community. The paintings of the book record five scenes from the wedding: jeoninrye, a ceremony where the groom brings a wooden wild goose to the bride's house; gyoberye, the groom and the bride bowing to each other; heosurye, pouring liquor to toast to the couple's longevity; jeopbin, offering tea to guests; and a banquet to celebrates the couple's 60th wedding anniversary. The book describes figures, buildings and a variety of items in detail with delicate brushstrokes. The techniques were examined using microscopy, infrared, and X-ray irradiation and hyperspectral imaging analysis. The invisible parts were examined to identify the rough sketch and distinguish pigments and dyes used for each color. The components of the pigments were determined by X-ray fluorescence analysis, while the dyes were identified by UV-vis spectrometry. Microscope observation revealed that the fabric used for the paintings was raw silk thread with almost no fiber twist, and plain silk fabric. Hyperspectral imaging analysis, X-ray fluorescence analysis, and UV-vis spectrometry confirmed that the white pigment was white lead and the black was chinese ink. The red pigments were using red clay, cinnabar, and a mixture of cinnabar and minium. Brown was made using red clay and organic dyes, and yellow using gamboge. Green was identified as indigo, malachite, chrome green, barium sulfide, and blue as azurite, smalt, and indigo. The purple dye was estimated as a mixture of indigo and cochineal, and gold parts were used gold powder. Hyperspectral images were distinguished parts damaged and conservation treatment area.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.137-154
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• 2018

Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.