• Journal of the Daesoon Academy of Sciences
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• v.37
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• pp.191-227
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• 2021

In this study, values of truth and good are expressed in the form of beauty, and truth and good are analyzed from an aesthetic point of view. This enables an assessment of how truth is expressed and presented as an "aesthetic" in Daesoon Thought. Therefore, an approach to faith in Daesoon Jinrihoe (大巡眞理會) can be presented via traditional aesthetics or theological aesthetics that reflect on sense experience, feelings, and beauty. The concept of beauty in Daesoon Thought which focuses on The Canonical Scripture appears in keywords used in Daesoon Thought such as divine nature (神性), the pattern of Dao (道理), the singularly-focused mind (一心), and relationships (關係). Therein, one can find sublimation, symmetry, moderation, and harmony. The aesthetic features of Daesoon Thought, when considered as an aesthetic system can formulate thinking regarding the aesthetics of 'Reordering Works of Heaven and Earth' (天地公事), the aesthetics of Mutual Beneficence (相生), and the aesthetics of healing. The Reordering Works of Heaven and Earth contain a record of the Supreme God visiting the world as a human being. The realization that the human figure, Kang Jeungsan (1871-1909), is the Supreme God, Sangje (上帝), is the shocking aesthetic motif and theological starting point of the Reordering Works of Heaven and Earth. Mutual Beneficence can be seen aesthetically as indicating the sociality of mutual relations, and there is an aesthetic structure of Mutual Beneficence in the harmony and unification of those relations. Healing can be said to contain the sacred sublimation of Sangje, and moderation is a form of beauty that makes humans move toward Quieting the mind and Quieting the body (安心·安身), the Dharma of Presiding over Cures (醫統), and the ultimate value of healing, which is the end point of the Cultivation (修道) wherein one realizes that the ideals of humankind and the aesthetics of healing bestow the spiritual pleasures of a beautiful and valuable life. The aesthetic characteristics of Daesoon Thought demonstrate an aesthetic attitude that leads to healing through Sangje's Holy Works and the practice of Mutual Beneficence (相生) which were performed when He stayed with us to vastly save all beings throughout the Three Realms that teetered on the brink of extinction. It is not uncommon to see a beautiful woman and remark she is like a goddess (女神) or female immortal (仙女). Likewise, beautiful music is often praised as "the sound of heaven." That which fills us with joy is spoken of as "divine beings (神明)" of God. God is a symbol of beauty, and the world of God can be said to be the archetype of beauty. Experience of beauty guides our souls to God. The aesthetic experience of Daesoon Thought is a religious experience that culminates in emotional, intellectual, and spiritual joy, and it is an aesthetic experience that recognizes transcendent beauty.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.57-77
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• 2013

Social media has become one of the most popular media in web and mobile application. In 2011, social networks and blogs are still the top destination of online users, according to a study from Nielsen Company. In their studies, nearly 4 in 5active users visit social network and blog. Social Networks and Blogs sites rule Americans' Internet time, accounting to 23 percent of time spent online. Facebook is the main social network that the U.S internet users spend time more than the other social network services such as Yahoo, Google, AOL Media Network, Twitter, Linked In and so on. In recent trend, most of the companies promote their products in the Facebook by creating the "Facebook Page" that refers to specific product. The "Like" option allows user to subscribed and received updates their interested on from the page. The film makers which produce a lot of films around the world also take part to market and promote their films by exploiting the advantages of using the "Facebook Page". In addition, a great number of streaming service providers allows users to subscribe their service to watch and enjoy movies and TV program. They can instantly watch movies and TV program over the internet to PCs, Macs and TVs. Netflix alone as the world's leading subscription service have more than 30 million streaming members in the United States, Latin America, the United Kingdom and the Nordics. As the matter of facts, a million of movies and TV program with different of genres are offered to the subscriber. In contrast, users need spend a lot time to find the right movies which are related to their interest genre. Recent years there are many researchers who have been propose a method to improve prediction the rating or preference that would give the most related items such as books, music or movies to the garget user or the group of users that have the same interest in the particular items. One of the most popular methods to build recommendation system is traditional Collaborative Filtering (CF). The method compute the similarity of the target user and other users, which then are cluster in the same interest on items according which items that users have been rated. The method then predicts other items from the same group of users to recommend to a group of users. Moreover, There are many items that need to study for suggesting to users such as books, music, movies, news, videos and so on. However, in this paper we only focus on movie as item to recommend to users. In addition, there are many challenges for CF task. Firstly, the "sparsity problem"; it occurs when user information preference is not enough. The recommendation accuracies result is lower compared to the neighbor who composed with a large amount of ratings. The second problem is "cold-start problem"; it occurs whenever new users or items are added into the system, which each has norating or a few rating. For instance, no personalized predictions can be made for a new user without any ratings on the record. In this research we propose a clustering method according to the users' genre interest extracted from social network service (SNS) and user's movies rating information system to solve the "cold-start problem." Our proposed method will clusters the target user together with the other users by combining the user genre interest and the rating information. It is important to realize a huge amount of interesting and useful user's information from Facebook Graph, we can extract information from the "Facebook Page" which "Like" by them. Moreover, we use the Internet Movie Database(IMDb) as the main dataset. The IMDbis online databases that consist of a large amount of information related to movies, TV programs and including actors. This dataset not only used to provide movie information in our Movie Rating Systems, but also as resources to provide movie genre information which extracted from the "Facebook Page". Formerly, the user must login with their Facebook account to login to the Movie Rating System, at the same time our system will collect the genre interest from the "Facebook Page". We conduct many experiments with other methods to see how our method performs and we also compare to the other methods. First, we compared our proposed method in the case of the normal recommendation to see how our system improves the recommendation result. Then we experiment method in case of cold-start problem. Our experiment show that our method is outperform than the other methods. In these two cases of our experimentation, we see that our proposed method produces better result in case both cases.

• Journal of Science of Art and Design
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• v.7
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• pp.64-104
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• 2005

Visual media transmits image and information reproduced in large quantities, such as a photography, film, television, video, advertisement, or computer image. Correspondence to the students' reception and recognition of culture in the future. arrangements for the field of studies of visual culture. 'Visual Culture' implies cultural phenomena of visual images via visual media, which includes not only the categories of traditional arts like a painting, sculpture, print, or design, but the performance arts including a fashion show or parade of carnival, and the mass and electronic media like a photography, film, television, video, advertisement, cartoon, animation, or computer image. In the world of visual media, Image' functions as an essential medium of communication. Therefore, people call the culture of today fra of Image Culture', which has been converted from an alphabet convergence era to an image convergence one. Image, via visual media, has become a dominant means for communication in large part of human life, so we can designate an Image' as a typical aspect of visual culture today. Image, as an essential medium of communication, plays an important role in contemporary society. The one way is the conversion of analogue image like an actual picture, photograph, or film into digital one through the digitalization of digital camera or scanner as 'an analogue/digital commutator'. The other is a way of process with a computer drawing, or modeling of objects. It is appropriate to the production of pictorial and surreal images. Digital images, produced by the other, can be divided into the form of Pixel' and form of Vector'. Vector is a line linking the point of departure to the point of end, which organizes informations. Computer stores each line's standard location and correlative locations to one another Digital image shows for more 'Perfectness' than any other visual media. Digital image has been evolving in the diverse aspects, such as a production of geometrical or organic image compositing, interactive art, multimedia art, or web art, which has been applied a computer as an extended trot of painting. Someone often interprets digitalized copy with endless reproduction of original even as an extension of a print. Visual af is no longer a simple activity of representation by a painter or sculptor, but now is intimately associated with a matter of application of media. There is some problem in images via visual media. First, the image via media doesn't reflect a reality as it is, but reflects an artificial manipulated world, that is, a virtual reality. Second, the introduction of digital effect and the development of image processing technology have enhanced a spectacle of destructive and violent scenes. Third, a child intends to recognize the interactive images of computer game and virtual reality as a reality, or truth. Education needs not only to point out an ill effect of mass media and prevent the younger generation from being damaged by it, but also to offer a knowledge and know-how to cope actively with social, cultural circumstances. Visual media education is one of these essential methods for the contemporary and future human being in the overflowing of image informations. The fosterage of 'Visual Literacy' can be considered as a very purpose of visual media education. This is a way to lead an individual to the discerning, active consumer and producer of visual media in life as far as possible. The elements of 'Visual Literacy' can be divided into a faculty of recognition related to the visual media, a faculty of critical reception, a faculty of appropriate application, a faculty of active work and a faculty of creative modeling, which are promoted at the same time by the education of 'visual literacy'. In conclusion, the education of 'Visual Literacy' guides students to comprehend and discriminate the visual image media carefully, or receive them critically, apply them properly, or produce them creatively and voluntarily. Moreover, it leads to an artistic activity by means of new media. This education can be approached and enhanced by the connection and integration with real life. Visual arts and education of them play an important role in the digital era depended on visual communications via image information. Visual me야a of day functions as an essential element both in daily life and in arts. Students can soundly understand visual phenomena of today by means of visual media, and apply it as an expression tool of life culture as well. A new recognition and valuation visual image and media education is required to cultivate the capability of active, upright dealing with the changes of history of civilization. 1) Visual media education helps to cultivate a sensibility for images, which reacts to and deals with the circumstances. 2) It helps students to comprehend the contemporary arts and culture via new media. 3) It supplies a chance of students' experiencing a visual modeling by means of new media. 4) There are educational opportunities of images with temporality and spaciality, and therefore a discerning person becomes to increase. 5) The modeling activity via new media leads students to be continuously interested in the school and production of plastic arts. 6) It raises the ability of visual communications dealing with image information society. 7) An education of digital image is significant in respect of cultivation of man of talent for the future society of image information as well. To correspond to the changing and developing social, cultural circumstances, and the form and recognition of students' reception of them, visual arts education must arrange the field of studying on a new visual culture. Besides, a program needs to be developed, which is in more systematic and active level in relation to visual media education. Educational contents should be extended to the media for visual images, that is, photography, film, television, video, computer graphic, animation, music video, computer game and multimedia. Every media must be separately approached, because they maintain the modes and peculiarities of their own according to the conveyance form of message. The concrete and systematic method of teaching and the quality of education must be researched and developed, centering around the development of a course of study. Teacher's foundational capability of teaching should be cultivated for the visual media education. In this case, it must be paid attention to the fact that a technological level of media is considered as a secondary. Because school education doesn't intend to train expert and skillful producers, but intends to lay stress on the essential aesthetic one with visual media under the social and cultural context, in respect of a consumer including a man of culture.

• Journal of Intelligence and Information Systems
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• v.23 no.2
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• pp.19-38
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• 2017

Collaborative filtering (CF) algorithm has been popularly used for implementing recommender systems. Until now, there have been many prior studies to improve the accuracy of CF. Among them, some recent studies adopt 'hybrid recommendation approach', which enhances the performance of conventional CF by using additional information. In this research, we propose a new hybrid recommender system which fuses CF and the results from the social network analysis on trust and distrust relationship networks among users to enhance prediction accuracy. The proposed algorithm of our study is based on memory-based CF. But, when calculating the similarity between users in CF, our proposed algorithm considers not only the correlation of the users' numeric rating patterns, but also the users' in-degree centrality values derived from trust and distrust relationship networks. In specific, it is designed to amplify the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the trust relationship network. Also, it attenuates the similarity between a target user and his or her neighbor when the neighbor has higher in-degree centrality in the distrust relationship network. Our proposed algorithm considers four (4) types of user relationships - direct trust, indirect trust, direct distrust, and indirect distrust - in total. And, it uses four adjusting coefficients, which adjusts the level of amplification / attenuation for in-degree centrality values derived from direct / indirect trust and distrust relationship networks. To determine optimal adjusting coefficients, genetic algorithms (GA) has been adopted. Under this background, we named our proposed algorithm as SNACF-GA (Social Network Analysis - based CF using GA). To validate the performance of the SNACF-GA, we used a real-world data set which is called 'Extended Epinions dataset' provided by 'trustlet.org'. It is the data set contains user responses (rating scores and reviews) after purchasing specific items (e.g. car, movie, music, book) as well as trust / distrust relationship information indicating whom to trust or distrust between users. The experimental system was basically developed using Microsoft Visual Basic for Applications (VBA), but we also used UCINET 6 for calculating the in-degree centrality of trust / distrust relationship networks. In addition, we used Palisade Software's Evolver, which is a commercial software implements genetic algorithm. To examine the effectiveness of our proposed system more precisely, we adopted two comparison models. The first comparison model is conventional CF. It only uses users' explicit numeric ratings when calculating the similarities between users. That is, it does not consider trust / distrust relationship between users at all. The second comparison model is SNACF (Social Network Analysis - based CF). SNACF differs from the proposed algorithm SNACF-GA in that it considers only direct trust / distrust relationships. It also does not use GA optimization. The performances of the proposed algorithm and comparison models were evaluated by using average MAE (mean absolute error). Experimental result showed that the optimal adjusting coefficients for direct trust, indirect trust, direct distrust, indirect distrust were 0, 1.4287, 1.5, 0.4615 each. This implies that distrust relationships between users are more important than trust ones in recommender systems. From the perspective of recommendation accuracy, SNACF-GA (Avg. MAE = 0.111943), the proposed algorithm which reflects both direct and indirect trust / distrust relationships information, was found to greatly outperform a conventional CF (Avg. MAE = 0.112638). Also, the algorithm showed better recommendation accuracy than the SNACF (Avg. MAE = 0.112209). To confirm whether these differences are statistically significant or not, we applied paired samples t-test. The results from the paired samples t-test presented that the difference between SNACF-GA and conventional CF was statistical significant at the 1% significance level, and the difference between SNACF-GA and SNACF was statistical significant at the 5%. Our study found that the trust/distrust relationship can be important information for improving performance of recommendation algorithms. Especially, distrust relationship information was found to have a greater impact on the performance improvement of CF. This implies that we need to have more attention on distrust (negative) relationships rather than trust (positive) ones when tracking and managing social relationships between users.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.93-110
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• 2015

The recommender system is a system which recommends products to the customers who are likely to be interested in. Based on automated information filtering technology, various recommender systems have been developed. Collaborative filtering (CF), one of the most successful recommendation algorithms, has been applied in a number of different domains such as recommending Web pages, books, movies, music and products. But, it has been known that CF has a critical shortcoming. CF finds neighbors whose preferences are like those of the target customer and recommends products those customers have most liked. Thus, CF works properly only when there's a sufficient number of ratings on common product from customers. When there's a shortage of customer ratings, CF makes the formation of a neighborhood inaccurate, thereby resulting in poor recommendations. To improve the performance of CF based recommender systems, most of the related studies have been focused on the development of novel algorithms under the assumption of using a single profile, which is created from user's rating information for items, purchase transactions, or Web access logs. With the advent of big data, companies got to collect more data and to use a variety of information with big size. So, many companies recognize it very importantly to utilize big data because it makes companies to improve their competitiveness and to create new value. In particular, on the rise is the issue of utilizing personal big data in the recommender system. It is why personal big data facilitate more accurate identification of the preferences or behaviors of users. The proposed recommendation methodology is as follows: First, multimodal user profiles are created from personal big data in order to grasp the preferences and behavior of users from various viewpoints. We derive five user profiles based on the personal information such as rating, site preference, demographic, Internet usage, and topic in text. Next, the similarity between users is calculated based on the profiles and then neighbors of users are found from the results. One of three ensemble approaches is applied to calculate the similarity. Each ensemble approach uses the similarity of combined profile, the average similarity of each profile, and the weighted average similarity of each profile, respectively. Finally, the products that people among the neighborhood prefer most to are recommended to the target users. For the experiments, we used the demographic data and a very large volume of Web log transaction for 5,000 panel users of a company that is specialized to analyzing ranks of Web sites. R and SAS E-miner was used to implement the proposed recommender system and to conduct the topic analysis using the keyword search, respectively. To evaluate the recommendation performance, we used 60% of data for training and 40% of data for test. The 5-fold cross validation was also conducted to enhance the reliability of our experiments. A widely used combination metric called F1 metric that gives equal weight to both recall and precision was employed for our evaluation. As the results of evaluation, the proposed methodology achieved the significant improvement over the single profile based CF algorithm. In particular, the ensemble approach using weighted average similarity shows the highest performance. That is, the rate of improvement in F1 is 16.9 percent for the ensemble approach using weighted average similarity and 8.1 percent for the ensemble approach using average similarity of each profile. From these results, we conclude that the multimodal profile ensemble approach is a viable solution to the problems encountered when there's a shortage of customer ratings. This study has significance in suggesting what kind of information could we use to create profile in the environment of big data and how could we combine and utilize them effectively. However, our methodology should be further studied to consider for its real-world application. We need to compare the differences in recommendation accuracy by applying the proposed method to different recommendation algorithms and then to identify which combination of them would show the best performance.

• Cartoon and Animation Studies
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• s.27
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• pp.31-49
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• 2012

This research aims at showing specificity of the 'fantastic' in the movie < Les temps morts (on 1964) > directed by Ren$\acute{e}$ Laloux (1929-2004 ), all over the world recognized director. This movie has a particular style by composing four forms of expression: the real recording (movie), the recording embellishes with images by image (animation), the drawing, the photo. This film is the most strange among his all films. Even if we could catch the key meaning of the film, it offer for the audience the sentiment incertain and unclear. If we consider 'the fantastic' as a hesitation between the real and the unreal, in diverse levels, this movie offers to the spectators the fantastic feelings. In order to present the way this film shows us the fantastic, we divide the film into 15 sequences according to the criteria of the visual elements and the auditive elements. We analyze specificities of this fantastic in diverse levels. At first, the first style of the drawing of Roland Topor, does not let us escape easily from the feeling of fantasy. The four representation formats(drawing, photo, animation, movie) are integrated into one whole by auditive elements(music, narration). On the other hand, certain parts incomprehensible are not integrated into the entire. are fully integrated into the unity that does not understand that part, leaving them can. Laloux leads the audience into a reality toward the end of the film, but he leave incertain sequences at the last moment. Through which the audience is again hesitant between the real and the unreal, the fantastic is strengthened as a result of the work. Finally, the fantastic of the film could be found at three levels. First, the fantastic drawing style of Roland Topor. In the second place, the fantastic exposed through the entire composition and structure of work. Overall, these by leaving through the availability of the story incomprehensible to the audience is to provide a fantastic sentiment.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.19-36
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• 2015

Social media is an emerging issue in content services and in current business environment. YouTube is the most representative social media service in the world. YouTube is different from other conventional content services in its open user participation and contents creation methods. To promote a content in YouTube, it is important to understand the diffusion phenomena of contents and the network structural characteristics. Most previous studies analyzed impact factors of contents diffusion from the view point of general behavioral factors. Currently some researchers use network structure factors. However, these two approaches have been used separately. However this study tries to analyze the general impact factors on the view count and content based network structures all together. In addition, when building a content based network, this study forms the network structure by analyzing user comments on 22,370 contents of YouTube not based on the individual user based network. From this study, we re-proved statistically the causal relations between view count and not only general factors but also network factors. Moreover by analyzing this integrated research model, we found that these factors affect the view count of YouTube according to the following order; Uploader Followers, Video Age, Betweenness Centrality, Comments, Closeness Centrality, Clustering Coefficient and Rating. However Degree Centrality and Eigenvector Centrality affect the view count negatively. From this research some strategic points for the utilizing of contents diffusion are as followings. First, it is needed to manage general factors such as the number of uploader followers or subscribers, the video age, the number of comments, average rating points, and etc. The impact of average rating points is not so much important as we thought before. However, it is needed to increase the number of uploader followers strategically and sustain the contents in the service as long as possible. Second, we need to pay attention to the impacts of betweenness centrality and closeness centrality among other network factors. Users seems to search the related subject or similar contents after watching a content. It is needed to shorten the distance between other popular contents in the service. Namely, this study showed that it is beneficial for increasing view counts by decreasing the number of search attempts and increasing similarity with many other contents. This is consistent with the result of the clustering coefficient impact analysis. Third, it is important to notice the negative impact of degree centrality and eigenvector centrality on the view count. If the number of connections with other contents is too much increased it means there are many similar contents and eventually it might distribute the view counts. Moreover, too high eigenvector centrality means that there are connections with popular contents around the content, and it might lose the view count because of the impact of the popular contents. It would be better to avoid connections with too powerful popular contents. From this study we analyzed the phenomenon and verified diffusion factors of Youtube contents by using an integrated model consisting of general factors and network structure factors. From the viewpoints of social contribution, this study might provide useful information to music or movie industry or other contents vendors for their effective contents services. This research provides basic schemes that can be applied strategically in online contents marketing. One of the limitations of this study is that this study formed a contents based network for the network structure analysis. It might be an indirect method to see the content network structure. We can use more various methods to establish direct content network. Further researches include more detailed researches like an analysis according to the types of contents or domains or characteristics of the contents or users, and etc.

• Korean Journal of Heritage: History & Science
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• v.40
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• pp.357-386
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• 2007

At present, thirteen Buddhist bells of Unified Silla are known to the world: Six in Korea, five in Japan and two other bells, and three out of them are impossible to make out its original form. Therefore, we divided the form of Unified Silla Buddhist bells based on the ten other bells, and we tried out to prove the manufacturing technology by the comparison of the research material of Uncheon-dong bell and existing research materials of other bells, in other to find their linkage based on the alloy elemental composition. We divided Unified Silla Buddhist bell into two types: Type I has symmetric apsaras and regular patterns on its face and it was made in early Silla period; type II has asymmetric apsaras and irregular pattern arrangement and made in late Silla period. In particular, Uncheon-dong Buddhist bells is very similar to Komyoji[光明寺] temple bell from ninth century in Japan. It is peculiar that the apsaras on Uncheon-dong bell play vertical music instruments that are never seen in Unified Silla Buddhist bell. Most of Unified Silla Buddhist bell are compounded with Cu-Sn or Cu-Sn-Pb system. From eighth and ninth century, bells were cast with even composition of copper, tin and lead, and the bronze alloy ratio was similar to the record in Gogonggi[考工記], Jurye[周禮], a book from ancient China. Particularly, Uncheon-dong bell is in a rare case of Cu-Sn-Pb-As system. As had been rarely used in Unified Silla Buddhist bells, so we presented the relative research materials. As has the same nature as Pb. Because As easily volatilize at high temperature, it is hard to use. But it has its merit of solidity and durability. Pb enhances fluidity and thereby expresses the patterns more distinct; As makes the bell stronger. The result of lead isotope ratio could not exactly reveal a concrete producing center. However, over the analysis of our samples, hereby we suggest Uncheon-dong bell was made of materials from just one ore deposit.

• (The) Research of the performance art and culture
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• no.35
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• pp.509-541
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• 2017

The basic intent of this thesis lies in proposing a meaningful direction of developing cultural content by combining Asian traditional dance forms which hold cultural closeness in common historically. For this study, this paper selected Oyangseon(五羊仙; 'Five Taoist Hermits on Five Sheep'), a Korean court dance of Chinese origin as an example as the Oyangseon story is commonly found in ancient Vietnam and China as well as Korea. Its original narrative is a mythic story that five hermits had come down to ancient Vietnam region riding on five sheep of five colors to bestow 6 ears of milets to people. Later, the story was spread to other regions to be reformed into Woljeongjeon(越井傳; Vietnam), Choi Wee(崔?; China) and Oyangseon(Korea) that have different plot and background. While Woljeongjeon and Choi Wee were adapted into novels that describe the hero Choi Wee's mysterious adventure to be repaid his father's previous devotion to ancient King's shrine. Meanwhile, the epic narrative of Korean Oyangseon proves the modification of the original myth by adding a Seowangmo(西王母; a Chinese mythic heavenly queen) motif while it was enacted as a court dance to praise king's long life and pray country's prosperity following Confucian concept. Based on this historical lineage of Oyangseon story, I searched for the possiblity of constructing a cultural content program by combining the Oyangseon dance of three countries. While there was Oyangseonmu(五羊仙舞) in China which was recently composed by referring to Korean Oyangseon, any traditional dance item based on Oyangseon story was not available in Vietnam. Thus, I tried to propose the Vietnam Dance College to choreograph a new dance item with Woljeongjeon story while using the traditional dance technique, music, costume, etc. of Vietnam as most as possible. As a result, I could display a direction of developing a cultural content by staging three countries' dance items based on Oyangseon story at Korean National Haneul Theater in Oct 2016.

• Korean Journal of Heritage: History & Science
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• v.54 no.1
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• pp.238-259
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• 2021

Gameunsa Temple is a Buddhist temple from the mid-Silla period. Construction began during the reign of King Munmu and was completed during the second year of King Sinmun's reign (682). This study is based on the results of excavations at the Gameunsa Temple site, exploring the findings presented in the literature in the field of history. This study also investigates the characteristics of the construction plan of Gameunsa Temple and its correlation with the political, social, and religious environment of the time. The results of the study are as follows: (1) First, it is confirmed that all of the buildings in the central block of Gameunsa Temple, such as the pagoda and corridor, the central gate, and the auditorium, fit within 216 cheoks by 216 cheoks (Goguryeo unit of measurement, estimated dimensions 353.30 mm), in terms of the base structure. This fact is highly significant considering the intent of the King in the mid-Silla period to advocate Confucian political ideals at the Donghaegu sites (Daewangam, Igyeondae Pavilion, and Gameunsa Temple), as confirmed by the relationship between the 'Manpasikjeok legend' and the Confucianism of the etiquette and the music; the relationship between the name of the 'Igyeondae Pavilion' and the 'I Ching'; and the relationship between the 'Taegeuk stones excavated from the Gameunsa Temple site' and the 'I Ching.' Additionally, it may be presumed that the number in the "Qian 216" on the Xici shang of 'I Ching' was used as a basis for determining the size of the central block in the early stages of the design of Gameunsa Temple. The layout of the halls and pagodas of Gameunsa Temple was planned to be within a 216-cheok-by-216-cheok area, from the edge to the center, i.e., on the central axis of the temple, in the following order: the central gate and auditorium, the north-south position of Geumdang Hall, the south corridor, the east-west buildings of the auditorium and the winged corridor, the east-west corridor, and the central position of the east-west stone pagoda. (2) Second, the coexistence of Confucianism and Buddhism in the architecture of Gameunsa Temple is based on the understanding of the Golden Light Sutra, originating from the aspirations of King Munmu to obtain the immeasurable merits (陰陽調和時不越序 日月星宿不失常度 風雨隨時無諸災横) and the light of the Buddha, which is metaphorically represented by the sun and the moon illuminating the whole world of Silla, a new nation with a Confucian political ideology, for a long time by "circumambulating the Buddha (旋繞)". It is also presumed that Gyeongheung, who was appointed by King Munmu to be the Guksa in his will and appointed as the Gukro after the enthronement of King Sinmun, was deeply involved in the conception and realization of the syncretism of Confucianism and Buddhism.