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A Two-Stage Learning Method of CNN and K-means RGB Cluster for Sentiment Classification of Images (이미지 감성분류를 위한 CNN과 K-means RGB Cluster 이-단계 학습 방안)

  • Kim, Jeongtae;Park, Eunbi;Han, Kiwoong;Lee, Junghyun;Lee, Hong Joo
    • Journal of Intelligence and Information Systems
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    • v.27 no.3
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    • pp.139-156
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    • 2021
  • The biggest reason for using a deep learning model in image classification is that it is possible to consider the relationship between each region by extracting each region's features from the overall information of the image. However, the CNN model may not be suitable for emotional image data without the image's regional features. To solve the difficulty of classifying emotion images, many researchers each year propose a CNN-based architecture suitable for emotion images. Studies on the relationship between color and human emotion were also conducted, and results were derived that different emotions are induced according to color. In studies using deep learning, there have been studies that apply color information to image subtraction classification. The case where the image's color information is additionally used than the case where the classification model is trained with only the image improves the accuracy of classifying image emotions. This study proposes two ways to increase the accuracy by incorporating the result value after the model classifies an image's emotion. Both methods improve accuracy by modifying the result value based on statistics using the color of the picture. When performing the test by finding the two-color combinations most distributed for all training data, the two-color combinations most distributed for each test data image were found. The result values were corrected according to the color combination distribution. This method weights the result value obtained after the model classifies an image's emotion by creating an expression based on the log function and the exponential function. Emotion6, classified into six emotions, and Artphoto classified into eight categories were used for the image data. Densenet169, Mnasnet, Resnet101, Resnet152, and Vgg19 architectures were used for the CNN model, and the performance evaluation was compared before and after applying the two-stage learning to the CNN model. Inspired by color psychology, which deals with the relationship between colors and emotions, when creating a model that classifies an image's sentiment, we studied how to improve accuracy by modifying the result values based on color. Sixteen colors were used: red, orange, yellow, green, blue, indigo, purple, turquoise, pink, magenta, brown, gray, silver, gold, white, and black. It has meaning. Using Scikit-learn's Clustering, the seven colors that are primarily distributed in the image are checked. Then, the RGB coordinate values of the colors from the image are compared with the RGB coordinate values of the 16 colors presented in the above data. That is, it was converted to the closest color. Suppose three or more color combinations are selected. In that case, too many color combinations occur, resulting in a problem in which the distribution is scattered, so a situation fewer influences the result value. Therefore, to solve this problem, two-color combinations were found and weighted to the model. Before training, the most distributed color combinations were found for all training data images. The distribution of color combinations for each class was stored in a Python dictionary format to be used during testing. During the test, the two-color combinations that are most distributed for each test data image are found. After that, we checked how the color combinations were distributed in the training data and corrected the result. We devised several equations to weight the result value from the model based on the extracted color as described above. The data set was randomly divided by 80:20, and the model was verified using 20% of the data as a test set. After splitting the remaining 80% of the data into five divisions to perform 5-fold cross-validation, the model was trained five times using different verification datasets. Finally, the performance was checked using the test dataset that was previously separated. Adam was used as the activation function, and the learning rate was set to 0.01. The training was performed as much as 20 epochs, and if the validation loss value did not decrease during five epochs of learning, the experiment was stopped. Early tapping was set to load the model with the best validation loss value. The classification accuracy was better when the extracted information using color properties was used together than the case using only the CNN architecture.

Major Class Recommendation System based on Deep learning using Network Analysis (네트워크 분석을 활용한 딥러닝 기반 전공과목 추천 시스템)

  • Lee, Jae Kyu;Park, Heesung;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.27 no.3
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    • pp.95-112
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    • 2021
  • In university education, the choice of major class plays an important role in students' careers. However, in line with the changes in the industry, the fields of major subjects by department are diversifying and increasing in number in university education. As a result, students have difficulty to choose and take classes according to their career paths. In general, students choose classes based on experiences such as choices of peers or advice from seniors. This has the advantage of being able to take into account the general situation, but it does not reflect individual tendencies and considerations of existing courses, and has a problem that leads to information inequality that is shared only among specific students. In addition, as non-face-to-face classes have recently been conducted and exchanges between students have decreased, even experience-based decisions have not been made as well. Therefore, this study proposes a recommendation system model that can recommend college major classes suitable for individual characteristics based on data rather than experience. The recommendation system recommends information and content (music, movies, books, images, etc.) that a specific user may be interested in. It is already widely used in services where it is important to consider individual tendencies such as YouTube and Facebook, and you can experience it familiarly in providing personalized services in content services such as over-the-top media services (OTT). Classes are also a kind of content consumption in terms of selecting classes suitable for individuals from a set content list. However, unlike other content consumption, it is characterized by a large influence of selection results. For example, in the case of music and movies, it is usually consumed once and the time required to consume content is short. Therefore, the importance of each item is relatively low, and there is no deep concern in selecting. Major classes usually have a long consumption time because they have to be taken for one semester, and each item has a high importance and requires greater caution in choice because it affects many things such as career and graduation requirements depending on the composition of the selected classes. Depending on the unique characteristics of these major classes, the recommendation system in the education field supports decision-making that reflects individual characteristics that are meaningful and cannot be reflected in experience-based decision-making, even though it has a relatively small number of item ranges. This study aims to realize personalized education and enhance students' educational satisfaction by presenting a recommendation model for university major class. In the model study, class history data of undergraduate students at University from 2015 to 2017 were used, and students and their major names were used as metadata. The class history data is implicit feedback data that only indicates whether content is consumed, not reflecting preferences for classes. Therefore, when we derive embedding vectors that characterize students and classes, their expressive power is low. With these issues in mind, this study proposes a Net-NeuMF model that generates vectors of students, classes through network analysis and utilizes them as input values of the model. The model was based on the structure of NeuMF using one-hot vectors, a representative model using data with implicit feedback. The input vectors of the model are generated to represent the characteristic of students and classes through network analysis. To generate a vector representing a student, each student is set to a node and the edge is designed to connect with a weight if the two students take the same class. Similarly, to generate a vector representing the class, each class was set as a node, and the edge connected if any students had taken the classes in common. Thus, we utilize Node2Vec, a representation learning methodology that quantifies the characteristics of each node. For the evaluation of the model, we used four indicators that are mainly utilized by recommendation systems, and experiments were conducted on three different dimensions to analyze the impact of embedding dimensions on the model. The results show better performance on evaluation metrics regardless of dimension than when using one-hot vectors in existing NeuMF structures. Thus, this work contributes to a network of students (users) and classes (items) to increase expressiveness over existing one-hot embeddings, to match the characteristics of each structure that constitutes the model, and to show better performance on various kinds of evaluation metrics compared to existing methodologies.

Les problèmes et les solutions de thèâtre musical corèen (한국 라이선스 뮤지컬의 현실과 개선에 대한 연구)

  • Kim, Gyunhyeong
    • (The) Research of the performance art and culture
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    • no.18
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    • pp.257-282
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    • 2009
  • Le $th{\acute{e}}{\hat{t}}re$ musical en $Cor{\acute{e}}e$ est devenu aujourd'hui une mode. Beaucoup parlent de musical, mais beaucoup de musicals sont $mont{\acute{e}}s$ sur la $sc{\grave{e}}ne$ sans des recherches $n{\acute{e}}cessaires$ suffisantes. C'est pour cette raison que la plupart des spectacles musicaux qui sont $cr{\acute{e}}es$ en $Cor{\acute{e}}e$ sont $destin{\acute{e}}s$ en faillite $d{\grave{e}}s$ la naissance. D'ailleurs les musicals $liscenci{\acute{e}}s$ par $l^{\prime}Am{\acute{e}}rique$, la France qui sont $mont{\acute{e}}s$ sur la $sc{\grave{e}}ne$ de $Cor{\acute{e}}e$ aujourd'hui sont assez pour nuire le $march{\acute{e}}$ $cor{\acute{e}}en$ $constitu{\acute{e}}$ autour de musical. Quels sont donc les $probl{\grave{e}}mes$ que posent les musicals $liscenci{\acute{e}}s$? $Premi{\grave{e}}rement$ ils encouragent la mime, pas la $cr{\acute{e}}ation$. En d'autre terme, les musicals $liscenci{\acute{e}}s$ que les $Cor{\acute{e}}ens$ montent sur la $sc{\grave{e}}ne$ ne sont pas les $cr{\acute{e}}ations$ propres chez les $Cor{\acute{e}}ens$, par contre, ces derniers sont $demand{\acute{e}}s$ de suivre ${\grave{a}}$ la mot les indications $dict{\acute{e}}es$ par le droit d'auteur. Les $cr{\acute{e}}ateurs$ $cor{\acute{e}}ens$ ne sont pas libres de $cr{\acute{e}}ation$. $Deuxi{\grave{e}}mement$ les musicals ${\grave{a}}$ la mode ont pouvoir de $d{\acute{e}}truire$ la $diversit{\acute{e}}$ de l'homme. L'homme se $caract{\grave{e}}rise$ par la $diversit{\acute{e}}$ et se $diff{\grave{e}}re$ l'un par rapport ${\grave{a}}$ l'autre. C'est l'essence de l'homme. Tous sont $diff{\acute{e}}rents$. Pourtant le musical qui $r{\grave{e}}gne$ sur tous genres de spectacles d'aujourd'hui de $Cor{\acute{e}}e$ ne laisse pas vivre d'autres genres de spectacles, la danse, le $th{\acute{e}}{\hat{a}}tre$, etc. Seul le musical est $compt{\acute{e}}$. $Troisi{\grave{e}}mement$ le musical ne peut pas nier $compl{\grave{e}}tement$ son origine commerciale. En fait le musical est devenu une chose important depuis des investigations immenses par le gouvernement $d^{\prime}Am{\acute{e}}rique$ pour donner des travails aux gens. Donc, $d{\grave{e}}s$ le $d{\acute{e}}but$, il n'y avait pas de $consid{\acute{e}}rations$ artistiques dans et sur le musical. Comme c'est par le commerce que le musical est $r{\acute{e}}pandu$, s'il y aura un $probl{\grave{e}}me$ quelconque, il est $tr{\grave{e}}s$ possible qu'on cherche ${\grave{a}}$ $r{\acute{e}}soudre$ le $probl{\grave{e}}me$ par la vue de commerce. En comprenant les $probl{\grave{e}}mes$ $mentionn{\acute{e}}s$ $l{\grave{a}}$-dessus, il faut $pr{\acute{e}}parer$ le changement de $march{\acute{e}}$ $cor{\acute{e}}enne$ de musical. Le moyen le plus $su{\hat{r}}$ de se $pr{\acute{e}}parer$ est de trouver la $r{\acute{e}}solution$ dans la culture. Pourtant cette $derni{\grave{e}}re$ ne signifie pas la tradition comme $c^{\prime}{\acute{e}}tait$ le cas $jusqu^{\prime}{\grave{a}}$ aujourd'hui, car les $Cor{\acute{e}}ens$ ne sont pas ${\acute{e}}duqu{\acute{e}}s$ par cette $derni{\grave{e}}re$. La $modernit{\acute{e}}$, disons occidentale, traverse la $Cor{\acute{e}}e$. Donc, la signification du mot 'culture' doit ${\hat{e}}tre$ $bas{\acute{e}}e$ sur la tradition et la $modernit{\acute{e}}$ en $m{\hat{e}}me$ temps.

A Study on the Ideal Leadership whole person of Confucian philosophy (유가(儒家)의 전인적(全人的) 지도자상(指導者像) 고찰(考察))

  • Kim, Kyeong-Mi
    • (The)Study of the Eastern Classic
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    • no.62
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    • pp.145-176
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    • 2016
  • This paper aims to define the leadership of Gunja (君子, translated into prince, gentleman, or ideal man) based on Confucian Classics which offer the general values and norms of individuals' virtue and social virtuous acts. Thus, humanitarianism is regarded as true value, and the values of a virtuous person who properly practices social human relationships are discussed. The real worth of Gunja image is discussed as a true human image of "self-completion and completion of all things" (成己成物) which involves the convergence of truth, good and beauty where there is a sense of harmony and balance, where there is stern self discipline and self cultivation and where win-win values of human relationships are created. Confucian saint (聖人), wise man (賢人), great man (大人), and gentleman (君子) mean social leaders. They practice human morals, enlighten and beautify society with teachings, and are indicated as equipped with mental and material harmony, good character and competence, and economic power and morality. People today pursue their own personal growth according to their material preferences rather than pure intellectual cultural values, and are engrossed in visually beautiful external unlimited competition. In this digital age, we are supposed to demonstrate our individuality, but many people are obsessed with appearance, go on severe diet, and lose their health beauty, and consequently suffer mental stress. This trend fuels obsession with appearance and the sick practice of valuing appearance. As an alternative method to overcome this phenomenon, we need a leader image with the convergence of truth, good and beauty, which is characterized by internal self cultivation, external professionalism, and handsome and solid character. Confucian thoughts consist in practicing the Way of disciplining oneself for governing others (修己治人). Self discipline involves developing personal virtuous ability for cultivating a virtuous character, and governing others involves interacting to work together in society and to have right human relationships. Thus, leaders should impress not only themselves but also others. Self discipline for governing others means cultivating virtue for oneself and leading others. A true leader has self introspection and establishes himself through self discipline so that he can govern others or reach the realm of settling others where people live together. As all things have a value and a virtue, humans endeavor to cultivate character and virtue by learning and studying for securing their professionalism, reliability, character and ability, so as to create their own brand value. Personal character does not come from a high position, wealth and power. Character is a personal virtue, and is cultivated as immaculate and fresh through self discipline. As such, it well matches with a clean and clear spirit. This offers the ideal leader as the Guja image who has an extremely humane character, as well as being equipped with inherent virtues of intellect, benevolence and courage. Self development can foster virtue and self management through self leadership and self discipline. The leader in the relationship area can practice his virtue through virtuous acts, in other words, even think from another person's perspective. Such leader is mentioned as the principle of measuring square in the Great Learning. In our viewpoint, the beauty of character can breed the seed of virtue through intellect, benevolence and courage, the beauty of win-win can realize the right virtue by showing exemplary acts to others through considerateness, and the beauty of harmony can love and care for others like me through the principle of measuring square, thereby realizing the universal principle of virtue and harmony, which is like my mind. As such, the ideal leader, when his virtue and mind of being considerate of others all blending well, can exercise his ability to the full, can live together and coexist with many people, and can grow again into a triumphant relationship.

A Methodology of Customer Churn Prediction based on Two-Dimensional Loyalty Segmentation (이차원 고객충성도 세그먼트 기반의 고객이탈예측 방법론)

  • Kim, Hyung Su;Hong, Seung Woo
    • Journal of Intelligence and Information Systems
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    • v.26 no.4
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    • pp.111-126
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    • 2020
  • Most industries have recently become aware of the importance of customer lifetime value as they are exposed to a competitive environment. As a result, preventing customers from churn is becoming a more important business issue than securing new customers. This is because maintaining churn customers is far more economical than securing new customers, and in fact, the acquisition cost of new customers is known to be five to six times higher than the maintenance cost of churn customers. Also, Companies that effectively prevent customer churn and improve customer retention rates are known to have a positive effect on not only increasing the company's profitability but also improving its brand image by improving customer satisfaction. Predicting customer churn, which had been conducted as a sub-research area for CRM, has recently become more important as a big data-based performance marketing theme due to the development of business machine learning technology. Until now, research on customer churn prediction has been carried out actively in such sectors as the mobile telecommunication industry, the financial industry, the distribution industry, and the game industry, which are highly competitive and urgent to manage churn. In addition, These churn prediction studies were focused on improving the performance of the churn prediction model itself, such as simply comparing the performance of various models, exploring features that are effective in forecasting departures, or developing new ensemble techniques, and were limited in terms of practical utilization because most studies considered the entire customer group as a group and developed a predictive model. As such, the main purpose of the existing related research was to improve the performance of the predictive model itself, and there was a relatively lack of research to improve the overall customer churn prediction process. In fact, customers in the business have different behavior characteristics due to heterogeneous transaction patterns, and the resulting churn rate is different, so it is unreasonable to assume the entire customer as a single customer group. Therefore, it is desirable to segment customers according to customer classification criteria, such as loyalty, and to operate an appropriate churn prediction model individually, in order to carry out effective customer churn predictions in heterogeneous industries. Of course, in some studies, there are studies in which customers are subdivided using clustering techniques and applied a churn prediction model for individual customer groups. Although this process of predicting churn can produce better predictions than a single predict model for the entire customer population, there is still room for improvement in that clustering is a mechanical, exploratory grouping technique that calculates distances based on inputs and does not reflect the strategic intent of an entity such as loyalties. This study proposes a segment-based customer departure prediction process (CCP/2DL: Customer Churn Prediction based on Two-Dimensional Loyalty segmentation) based on two-dimensional customer loyalty, assuming that successful customer churn management can be better done through improvements in the overall process than through the performance of the model itself. CCP/2DL is a series of churn prediction processes that segment two-way, quantitative and qualitative loyalty-based customer, conduct secondary grouping of customer segments according to churn patterns, and then independently apply heterogeneous churn prediction models for each churn pattern group. Performance comparisons were performed with the most commonly applied the General churn prediction process and the Clustering-based churn prediction process to assess the relative excellence of the proposed churn prediction process. The General churn prediction process used in this study refers to the process of predicting a single group of customers simply intended to be predicted as a machine learning model, using the most commonly used churn predicting method. And the Clustering-based churn prediction process is a method of first using clustering techniques to segment customers and implement a churn prediction model for each individual group. In cooperation with a global NGO, the proposed CCP/2DL performance showed better performance than other methodologies for predicting churn. This churn prediction process is not only effective in predicting churn, but can also be a strategic basis for obtaining a variety of customer observations and carrying out other related performance marketing activities.

The Effect of the Quality of Education Service on the Performance of Education Service through Relationship Commitment in Franchise Beauty Academy: Moderating Effect of Trust Level (프랜차이즈 뷰티 아카데미의 교육서비스 품질이 관계 몰입을 통한 교육 서비스 성과에 미치는 영향 연구: 신뢰 수준의 조절효과)

  • Kim, Chang-Bong;Kim, Hee-Su
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.3
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    • pp.193-211
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    • 2021
  • Recently, interest in Korean Wave craze and K-beauty, led by K-pop, is increasing. In addition, the popularity and influence of the domestic beauty service industry has increased, and the economic and cultural ripple effects have been continuously expanding. The need to professional manpower training in response to the demand for manpower due to the growing development of domestic beauty services is emphasized, and the number of trainees who are actual consumers of beauty academy is increasing. Therefore, the purpose of our study is to examine the importance of quality factors of educational services to achieve educational purposes in the educational services provided by the Beauty Academy and the relationship between relationship commitment and educational service performance. Furthermore, it is to draw the importance of administrative support services, educational programs as well as educational service provision activities. However, the research for professional manpower training according to the provision of beauty services is insufficient compared to the development speed of the beauty industry. Therefore, at the present time when beauty service education is emphasized, our study will examine the relationship between relationship commitment and educational service performance based on the quality of education service by the students of domestic beauty academy. The measurement variables set for our study are program, instructor quality, tuition, external service, service fairness, relationship commitment, trust level, and educational service performance. The variables were analyzed and derived through the survey, and the following contents were derived from the empirical analysis. First, the quality of education service provided by the beauty academy, such as program, external service, service fairness, relationship commitment and trust level, had a significant effect on relationship commitment. Educational services provided by the institute, such as the systematicity and diversity of educational programs, enabled students to have a uniform relationship commitment. The quality of education service itself is to learn the expertise necessary for providing beauty service from the standpoint of the students and play an organic role in the relationship with the institute. Second, the moderating effect of trust level between academies and students was significant in the quality of education service and the relationship commitment. This means that students will feel higher level of service quality through the practical trust relationship of the students about the educational services provided by the institute. Based on the results of the empirical analysis, the implications of our study are to find ways to improve the students' ability and satisfaction represented by the results of educational services. This is because the quality of education services provided by the institute called Beauty Academy will have a great impact on the career choice of educational facilities and students. The characteristics of consistency, convenience, and knowledge orientation of education itself should be considered comprehensively, and a strong market position should be established through image formation through external service factors, which are external environments of academies.Furthermore, in terms of presenting differentiated strategies with competitors, the educational service quality factors play a significant role in the commitment to the relationship with the students, so the role of relationship marketing will be important for the psychological stability experienced by the students by grasping the demand accompanying the behavior of the students in advance.

Influence of Microcrack on Brazilian Tensile Strength of Jurassic Granite in Hapcheon (미세균열이 합천지역 쥬라기 화강암의 압열인장강도에 미치는 영향)

  • Park, Deok-Won;Kim, Kyeong-Su
    • Korean Journal of Mineralogy and Petrology
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    • v.34 no.1
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    • pp.41-56
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    • 2021
  • The characteristics of the six rock cleavages(R1~H2) in Jurassic Hapcheon granite were analyzed using the distribution of ① microcrack lengths(N=230), ② microcrack spacings(N=150) and ③ Brazilian tensile strengths(N=30). The 18 cumulative graphs for these three factors measured in the directions parallel to the six rock cleavages were mutually contrasted. The main results of the analysis are summarized as follows. First, the frequency ratio(%) of Brazilian tensile strength values(kg/㎠) divided into nine class intervals increases in the order of 60~70(3.3) < 140~150(6.7) < 100~110·110~120(10.0) < 90~100(13.3) < 80~90(16.7) < 120~130·130~140(20.0). The distribution curve of strength according to the frequency of each class interval shows a bimodal distribution. Second, the graphs for the length, spacing and tensile strength were arranged in the order of H2 < H1 < G2 < G1 < R2 < R1. Exponent difference(λS-λL, Δλ) between the two graphs for the spacing and length increases in the order of H2(-1.59) < H1(-0.02) < G2(0.25) < G1(0.63) < R2(1.59) < R1(1.96)(2 < 1). From the related chart, the six graphs for the tensile strength move gradually to the left direction with the increase of the above exponent difference. The negative slope(a) of the graphs for the tensile strength, suggesting a degree of uniformity of the texture, increases in the order of H((H1+H2)/2, 0.116) < G((G1+G2)/2, 0.125) < R((R1+R2)/2, 0.191). Third, the order of arrangement between the two graphs for the two directions that make up each rock cleavage(R1·R2(R), G1·G2(G), H1·H2(H)) were compared. The order of arrangement of the two graphs for the length and spacing is reverse order with each other. The two graphs for the spacing and tensile strength is mutually consistent in the order of arrangement. The exponent differences(ΔλL and ΔλS) for the length and spacing increase in the order of rift(R, -0.08) < grain(G, 0.14) < hardway(H, 0.75) and hardway(H, 0.16) < grain(G, 0.23) < rift(R, 0.45), respectively. Fourth, the general chart for the six graphs showing the distribution characteristics of the microcrack lengths, microcrack spacings and Brazilian tensile strengths were made. According to the range of length, the six graphs show orders of G2 < H2 < H1 < R2 < G1 < R1(< 7 mm) and G2 < H1 < H2 < R2 < G1 < R1(≦2.38 mm). The six graphs for the spacing intersect each other by forming a bottleneck near the point corresponding to the cumulative frequency of 12 and the spacing of 0.53 mm. Fifth, the six values of each parameter representing the six rock cleavages were arranged in the order of increasing and decreasing. Among the 8 parameters related to the length, the total length(Lt) and the graph(≦2.38 mm) are mutually congruent in order of arrangement. Among the 7 parameters related to the spacing, the frequency of spacing(N), the mean spacing(Sm) and the graph (≦5 mm) are mutually consistent in order of arrangement. In terms of order of arrangement, the values of the above three parameters for the spacing are consistent with the maximum tensile strengths belonging to group E. As shown in Table 8, the order of arrangement of these parameter values is useful for prior recognition of the six rock cleavages and the three quarrying planes.

Tosa Mitsuyoshi's Screen Paintings Gathering on the Year's First "Day of the Rat" and Boating on the Oi River from the National Museum of Korea (국립중앙박물관 소장 도사 미쓰요시(土佐光芳) 필(筆) <무라사키노 자일 놀이(紫野子日遊圖)·오이강 유람도 병풍(大井川遊覽圖屛風)> 시론)

  • Jung, Miyeon
    • MISULJARYO - National Museum of Korea Art Journal
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    • v.98
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    • pp.176-199
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    • 2020
  • In 2018, the National Museum of Korea purchased a pair of Japanese folding screens, respectively entitled Gathering on the Year's First "Day of the Rat" and Boating on the Oi River. Both of these two screens (hereinafter collectively referred to as the "NMK edition") have a gold background that bears the seal and ink inscription of Tosa Mitsuyoshi (1700-1772), who served as edokoro azukari, a painter in the court of Kyoto. According to the seller in New York, the screens were brought from Japan to the United States in the early twentieth century, but no other details are known. Each folding screen has six panels. The screen on the right (i.e., Gathering…) depicts "nenohi no asobi," an annual event conducted on the first "day of the rat" (according to the Asian zodiacal calendar), wherein the Kyoto imperial court ventured to the woods to gather pine seedlings. The left screen (i.e., Boating…) shows three boats traveling down the Oi River in Kyoto, representing the ritual known as "mifune" (literally, "three boats"), which involves three boats representing Chinese classical poetry (kansi), Japanese classical poetry (waka), and Japanese imperial music and dance (gagaku). Notably, these two screens are identical in theme and iconography to two screens with the same respective titles that were commissioned by Emperor Komei (1831-1867) and painted by Ukita Ikkei (1795-1859), an artist of the Yamato-e Revivalist School (fukko yamato-e), now in the collection of Sennyu-ji Temple in Kyoto (hereinafter collectively referred to as the "Sennyu edition"). While both of these themes have been painted independently numerous times, the NMK edition and Sennyu edition are the only known cases of the themes being painted as a single set. According to Diary of Official Business Between the Court and Shogunate (the journal of a court official named Hirohashi Kanetane, 1715-1781), Tosa Mitsuyoshi was commissioned in 1760 to replace the fusuma (rectangular sliding panels) of Tsunegoten, one of the buildings of the Kyoto Imperial Palace, which had been built in 1709. Notably, records show that Tsunegoten once contained a series of fusuma painted by an artist of the Kano school on the themes "Outdoor Procession on a Spring Day" and "Three Boats Cruising on the Oi River." Hence, it seems probable that Tosa Mitsuyoshi was influenced by the theme and iconography of the existing fusuma in producing his own folding screens depicting the court's visit to the forest and a cruise on the Oi River. While the practice of collecting pine seedlings on the first "rat day" of the year was an auspicious event to pray for longevity, the mifune ritual was intended to honor the greatest talents of the three aforementioned arts, which were of crucial importance to the court of Kyoto. Folding screens with such auspicious themes were commonly featured at the ceremony to enthrone the emperor or empress. Significantly, the Diary of Official Business Between the Court and Shogunate also records that Tosa Mitsuyoshi, while working as a court artist, produced two pairs of folding screens for the coronation of Empress Go Sakuramachi (1762-1771), which was held in 1763. Hence, research suggests that the NMK edition is one of the pairs of royal folding screens produced at that time.

Performance Evaluation of Radiochromic Films and Dosimetry CheckTM for Patient-specific QA in Helical Tomotherapy (나선형 토모테라피 방사선치료의 환자별 품질관리를 위한 라디오크로믹 필름 및 Dosimetry CheckTM의 성능평가)

  • Park, Su Yeon;Chae, Moon Ki;Lim, Jun Teak;Kwon, Dong Yeol;Kim, Hak Joon;Chung, Eun Ah;Kim, Jong Sik
    • The Journal of Korean Society for Radiation Therapy
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    • v.32
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    • pp.93-109
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    • 2020
  • Purpose: The radiochromic film (Gafchromic EBT3, Ashland Advanced Materials, USA) and 3-dimensional analysis system dosimetry checkTM (DC, MathResolutions, USA) were evaluated for patient-specific quality assurance (QA) of helical tomotherapy. Materials and Methods: Depending on the tumors' positions, three types of targets, which are the abdominal tumor (130.6㎤), retroperitoneal tumor (849.0㎤), and the whole abdominal metastasis tumor (3131.0㎤) applied to the humanoid phantom (Anderson Rando Phantom, USA). We established a total of 12 comparative treatment plans by the four geometric conditions of the beam irradiation, which are the different field widths (FW) of 2.5-cm, 5.0-cm, and pitches of 0.287, 0.43. Ionization measurements (1D) with EBT3 by inserting the cheese phantom (2D) were compared to DC measurements of the 3D dose reconstruction on CT images from beam fluence log information. For the clinical feasibility evaluation of the DC, dose reconstruction has been performed using the same cheese phantom with the EBT3 method. Recalculated dose distributions revealed the dose error information during the actual irradiation on the same CT images quantitatively compared to the treatment plan. The Thread effect, which might appear in the Helical Tomotherapy, was analyzed by ripple amplitude (%). We also performed gamma index analysis (DD: 3mm/ DTA: 3%, pass threshold limit: 95%) for pattern check of the dose distribution. Results: Ripple amplitude measurement resulted in the highest average of 23.1% in the peritoneum tumor. In the radiochromic film analysis, the absolute dose was on average 0.9±0.4%, and gamma index analysis was on average 96.4±2.2% (Passing rate: >95%), which could be limited to the large target sizes such as the whole abdominal metastasis tumor. In the DC analysis with the humanoid phantom for FW of 5.0-cm, the three regions' average was 91.8±6.4% in the 2D and 3D plan. The three planes (axial, coronal, and sagittal) and dose profile could be analyzed with the entire peritoneum tumor and the whole abdominal metastasis target, with planned dose distributions. The dose errors based on the dose-volume histogram in the DC evaluations increased depending on FW and pitch. Conclusion: The DC method could implement a dose error analysis on the 3D patient image data by the measured beam fluence log information only without any dosimetry tools for patient-specific quality assurance. Also, there may be no limit to apply for the tumor location and size; therefore, the DC could be useful in patient-specific QAl during the treatment of Helical Tomotherapy of large and irregular tumors.

The Conservation Treatment for the Mattress from National Folklore Cultural Heritage, the Red-lacquered Furniture with Inlaid Mother-of-pearl Design Used by Empress Sunjeonghyo and Comparative Study of Manufacturing Techniques (국가민속문화재 전 순정효황후 주칠 나전가구(傳 純貞孝皇后 朱漆 螺鈿家具) 매트리스의 보존처리 및 제작 기법 비교)

  • Park, Hyungho;Kim, Jongsu;Kim, Suchul;Keum, Jongsuk;Jang, Jongmin;Kim, Suha;Park, Changyuel
    • Korean Journal of Heritage: History & Science
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    • v.54 no.1
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    • pp.220-237
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    • 2021
  • This study carried out the conservation treatment for the mattress put on the bed, which is one of 4 items in National Folklore Cultural Heritage, the Red-lacquered Furniture with the inlaid mother-of-pearl design used by Empress Sunjeonghyo (presumed), after identifying the characteristics of the manufacturing techniques and the used materials. And the study intends to compare it with the mattress placed in the Daejojeong in the Changdeokgung Palace in order to identify the characteristics of mattresses domestically used during the 1920s and 1930s. From the analysis of the mattress presumably used by Empress Sunjeonghyo, it was identified that the mattress frame was made of pinaceous hemlock spruce while the webbing and twine in the structural parts were made of jute. The findings are as follows: the burlap had a filling material that was made of jute; the straw mat was made from Oryza; and, the rest of the filling material was cotton. Rayon was used for the top cover while cotton was used for the bottom. As a result of research on the materials and the inner structure, it was found that mattress was manufactured in the form of the upholstery style mainly found in chairs and day-beds in Western furniture. Based on analysis results, materials identical to the original were adopted during the conservation treatment. Next, the process of dismantling, cleaning, repair, reinforcement and assembling was conducted. During the dismantling process, the top cover was newly discovered and some letters (Yokohama, Kobe, and Joseon) were found in the burlap filling, but there was no trace which can clarify its maker or production place. dry cleaning was carried out on the structural parts, filling materials, and the cover, and then the repair and reinforcement were done, preserving the existing materials in the upholstery structure and using the same materials for conservation. The webbing in the structural parts was reinforced using materials identical to the original, and the twine was used for arranging and fixing the springs into wooden frames. For the damaged cotton cloth and burlap, reinforcement materials identical to the original were put over it and sown. For the damaged area of the top cover, reinforcement cloth was cut and then added inside and the damaged area was sown. Assembling was carried out in the reverse order of the dismantling. After the burlap identical to the original material was inserted into the areas in contact with the springs and then fastened, a filling pad, reinforcement cloth, a straw mat, cotton cloth, cotton felt, wide cotton cloth for protecting the cover, and the cover were layered and fastened with tacks. The two mattresses used by Empress Sunjeonghyo differed only by the period of production and followed the same Western upholstery style consisting of the frames, filling materials, and covers. During the conservation treatment process, a velvet cover was newly discovered and the traces of repair in the past were found. Furthermore, identifying straw mats, straw bags, and straws for filling material, this study confirmed changes in the materials used according to the production environment. In the future, it is expected to see changes in the conservation materials during the conservation treatment and manufacturing techniques used for chairs and sofas in the upholstery style belonging to the modern cultural artifacts.