• Title/Summary/Keyword: painting layers

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Scientific Investigation for Conservation Methodology of Bracket Mural Paintings of Daeungjeon Hall in Jikjisa Temple (직지사 대웅전 포벽화 보존방안을 위한 과학적 조사)

  • Lee, Hwa Soo;Kim, Seol Hui;Han, Kyeong Soon
    • Journal of Conservation Science
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    • v.34 no.2
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    • pp.107-118
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    • 2018
  • This report does studied for making the method of conserving bracket murals in Daeungjeon of Jikjisa Temple, through the scientific way. Results of evaluated the conservation status at the braket mural paintings, most serious damage is structural damage like cracks, breakage, and delamination. After optical investigation, a characteristic point wasn't found such as underdrawing or traces of a coat of paint. The ultrasonic examination speed by each wall painting was measured from about 195.8 m/s to 392.7 m/s, according to the location of the surface, and it was able to compare the surface properties according to the location. In Infrared-thermal image measurement shows that wall layer separation and paint layer delamination are closely detected, therefore it was able to judge of damage on the objective way. Material analysis revealed that the walls were made by sand and weathering soil. The wall layer combined sand with less than fine sand size by nearly 5:5, and the finishing layer was found to have mixed medium sand and fine sand at approximately 6:4 rates. However, In case of finishing layer, mixing ratios of sizes less than very fine sand were found to be significantly lower than wall. Therefore, it is estimated that the plysical damage such as the separation between the layers of the walls created in the braket mural paintings, is continuously caused by changes in the internal stresses and volume ratio caused by the density differences between the wall and the finishing layers.

The Analytical Study of Pigments on Fourguardian Statues in Song-gwang Buddhist Temple in Suncheon - Focusing on Pigments of Virupaksha - (순천 송광사 소조사천왕상 채색안료의 자연과학적 분석 - 서방광목천왕상 채색안료를 중심으로 -)

  • Lee, Han Hyoung;Park, Ji Hee;Hong, Jong Ouk;Han, Min Su;Seo, Min Suck;Heo, Jun Su
    • Korean Journal of Heritage: History & Science
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    • v.45 no.1
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    • pp.122-147
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    • 2012
  • The Four-guardian statues in Song-gwang buddhist temple, Suncheon, Korea, have been remade in AD 1628 and have been repaired and repainted over several times since then. Therefore, the study of the pigments applied on the statues can provide good chance for investigation about pigments used in the late Chosun Period. Pigments on fragments from Gwang-mok(Virupaksha), one of the Four-guardian statues, have been analyzed by optical microscope, SEM-EDX and XRD in order to identify the components and compounds. Six types of materials were found from the fragments, which are soil layer with brown clay band, soil layer containing a lot of fibers, Korean paper with loose texture, Korean paper with dense texture, silk, and hemp textile. Presumably, the soil layer which have brown clay band is basis layer and the other layers are repaired layers. From comparative study for the components of the pigments, applied on upper and lower parts of the repaired layers, we have concluded that those repaired layers had been applied on the statue by the following order; basis layer ${\rightarrow}$ Korean paper with loose texture ${\rightarrow}$ soil containing a lot of fibers ${\rightarrow}$ silk ${\rightarrow}$ hemp textile and Korean paper with dense texture. In addition, the years that those materials were applied on the statue have been estimated as 1720~1891, 1926, 1946 and 1976, respectively. The distinct features of each age are as the following; lead white and copper chloride hydroxide are major white and green pigments before 1891, zinc white, barium white, emerald green, and ultramarine blue appear after 1926 and titanium white uprises around 1976. Our result presented here, study on pigments applied on traditional statues over several different periods, will provide good database for future study on pigments used for traditional painting in Buddist temples and Dancheong.

A Study on Conservation of Outdoor Painted Sculptures: Niki de Saint Phalle's 'Black Nana' (야외 페인팅 조각의 보존처리를 위한 기초조사 - 니키 드 생팔 '검은 나나'를 중심으로 -)

  • Kwon, Hee Hong;Kim, Jung Hum;Han, Ye Bin
    • Journal of Conservation Science
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    • v.32 no.3
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    • pp.333-343
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    • 2016
  • A study on conservation of outdoor painted sculptures has begun to receive attention as increasing numbers of the sculptures, but it is still in an early stage in South Korea. In the case of a painted outdoor object which has been exhibited in National Museum of Modern and Contemporary Art (MMCA), 'Black nana' produced by Niki de Saint Phalle in 1964, deterioration was observed, such as flaking and discolouration of paint layers due to ultraviolet light and a sudden temperature change during an outdoor exhibition. For this reason, prior to treatment of the sculpture, to find out the painting techniques and materials applied, cross section, FT-IR, Raman and Py-GC/Mass were conducted. As a result, the type and colour of the paint agree with results of the other studies as well as deterioration pattern. It is expected that the results of this study will be utilized for treatment proposal and conservation material selection of 'Black nana'. In addition, to determine the artist's intention of the artist, cooperation with the foundation of Niki de Saint Phalle and artist's assistants will be carried out.

Location and Construction Characteristics of Imdaejeong Wonlim based on Documentation (기문(記文)을 중심으로 고찰한 임대정원림(臨對亭園林)의 입지 및 조영 특성)

  • Rho, Jae-Hyun;Park, Tae-Hee;Shin, Sang-Sup;Kim, Hyoun-Wuk
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.29 no.4
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    • pp.14-26
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    • 2011
  • Imdaejeong Wonlim is located on the verge of Sangsa Village in Sapyeong-ri, Daepyeong-myeon, Hwasun-gun Gyeongsangnam-do toward Northwest. It was planned by Sa-ae, Minjuhyeon in 1862 on the basis of Gobanwon built by Nam Eongi in 16th century against the backdrop of Mt. Bongjeong and facing Sapyeong Stream. As water flows from west to east in the shape of crane, this area is a propitious site standing for prosperity and happiness. This area shows a distinct feature of Wonlim surrounding the Imdaejeong with multi layers as consisting of 5 districts - front yard where landmark stone with engraved letters of 'Janggujiso of Master Sa-ea' and junipers are harmoniously arranged, internal garden of upper pavilion ranging from a pavilion to square pond with a little island in the middle, Sugyeongwon of under pavilionu consisting of 2 ponds with a painting of three taoist hermits, forest of Mt. Bonggeong and external garden including Sapyeong Stream and farmland. According to documentation and the results of on-site investigation, it is certainly proved that Imdaejeong Wonlim was motivated by Byeoseo Wonlim which realized the idea of 'going back to hometown after resignation' following the motives of Janggujiso, a hideout aimed to accomplish the ideology, 'training mind and fostering innate nature,' on the peaceful site surrounded by water and mountain, as well as motives of Sesimcheo(洗心處) to be unified with morality of Mother Nature, etc. In addition, it implies various imaginary landscapes such as Pihangji, Eupcheongdang, square pond with an island and painting of three Taoist hermits based on a notion that 'the further scent flies away, the fresher it becomes,' which is originated from Aelyeonseol(愛蓮說). In terms of technique of natural landscape treatment, divers techniques are found in Imdaejeong Wonlim such as distant view of Mt. Bongjeong, pulling view with an intention of transparent beauty of moonlight, circle view of natural and cultural sceneries on every side, borrowed scenary of pastoral rural life adopted as an opposite view, looked view of Sulyundaero, over looked view of pond, static view in pavilion and paths, close view of water space such as stream and pond, mushroom-and-umbrella like view of Imdaejeong, vista of pond surrounded by willows, imaginary view of engraved letters meaning 'widen knowledge by studying objectives' and selected view to comprise sunrise and sunset at the same time. In the beginning of construction, various plants seemed to be planted, albeit different from now, such as Ginkgo biloba, Phyllostachys spp., Salix spp., Pinus densiflora, Abies holophylla, Morus bombycis, Juglans mandschurica, Paulownia coreana, Prunus mume, Nelumbo nucifera, etc. Generally, it reflected dignity of Confucianism or beared aspect of semantic landscape implying Taoist taste and idea of Phoenix wishing a prosperity in the future. Furthermore, a diversity of planting methods were pursued for such as liner planting for the periphery of pond, bosquet planting and circle planting adopted around the pavilion, spot planting using green trees, solitary planting of monumentally planted Paulownia coreana and opposite planting presenting the Abies holophylla into yin and yang.

Application of Support Vector Regression for Improving the Performance of the Emotion Prediction Model (감정예측모형의 성과개선을 위한 Support Vector Regression 응용)

  • Kim, Seongjin;Ryoo, Eunchung;Jung, Min Kyu;Kim, Jae Kyeong;Ahn, Hyunchul
    • Journal of Intelligence and Information Systems
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    • v.18 no.3
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    • pp.185-202
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    • 2012
  • .Since the value of information has been realized in the information society, the usage and collection of information has become important. A facial expression that contains thousands of information as an artistic painting can be described in thousands of words. Followed by the idea, there has recently been a number of attempts to provide customers and companies with an intelligent service, which enables the perception of human emotions through one's facial expressions. For example, MIT Media Lab, the leading organization in this research area, has developed the human emotion prediction model, and has applied their studies to the commercial business. In the academic area, a number of the conventional methods such as Multiple Regression Analysis (MRA) or Artificial Neural Networks (ANN) have been applied to predict human emotion in prior studies. However, MRA is generally criticized because of its low prediction accuracy. This is inevitable since MRA can only explain the linear relationship between the dependent variables and the independent variable. To mitigate the limitations of MRA, some studies like Jung and Kim (2012) have used ANN as the alternative, and they reported that ANN generated more accurate prediction than the statistical methods like MRA. However, it has also been criticized due to over fitting and the difficulty of the network design (e.g. setting the number of the layers and the number of the nodes in the hidden layers). Under this background, we propose a novel model using Support Vector Regression (SVR) in order to increase the prediction accuracy. SVR is an extensive version of Support Vector Machine (SVM) designated to solve the regression problems. The model produced by SVR only depends on a subset of the training data, because the cost function for building the model ignores any training data that is close (within a threshold ${\varepsilon}$) to the model prediction. Using SVR, we tried to build a model that can measure the level of arousal and valence from the facial features. To validate the usefulness of the proposed model, we collected the data of facial reactions when providing appropriate visual stimulating contents, and extracted the features from the data. Next, the steps of the preprocessing were taken to choose statistically significant variables. In total, 297 cases were used for the experiment. As the comparative models, we also applied MRA and ANN to the same data set. For SVR, we adopted '${\varepsilon}$-insensitive loss function', and 'grid search' technique to find the optimal values of the parameters like C, d, ${\sigma}^2$, and ${\varepsilon}$. In the case of ANN, we adopted a standard three-layer backpropagation network, which has a single hidden layer. The learning rate and momentum rate of ANN were set to 10%, and we used sigmoid function as the transfer function of hidden and output nodes. We performed the experiments repeatedly by varying the number of nodes in the hidden layer to n/2, n, 3n/2, and 2n, where n is the number of the input variables. The stopping condition for ANN was set to 50,000 learning events. And, we used MAE (Mean Absolute Error) as the measure for performance comparison. From the experiment, we found that SVR achieved the highest prediction accuracy for the hold-out data set compared to MRA and ANN. Regardless of the target variables (the level of arousal, or the level of positive / negative valence), SVR showed the best performance for the hold-out data set. ANN also outperformed MRA, however, it showed the considerably lower prediction accuracy than SVR for both target variables. The findings of our research are expected to be useful to the researchers or practitioners who are willing to build the models for recognizing human emotions.