• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.30 no.3
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• pp.42-56
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• 2012

This study was carried out to investigate the construction characteristics and the landscaping design skill for Wiyiam at Ongnyucheon(玉流川) in the rear garden of Changdeok Palace focusing on constructing technique, space composition and transformational process of the site. The results of this study were summarized as follows; First, Wiyiam of Ongnyucheon was constructed as garden ornament which was modified the huge bedrock into the shape of the mountain. The waterfall of Wiyiam was originally made of torrent which water flowed into the bottom, but it was reconstructed to take the effect of Inak(離落: the method to drop water from high place) by carving rock into square shape at the era of King Gojong(高宗). Second, main characteristics of Wiyiam appeared in Donggwoldo was the hill built up with a square pond and ground at the back of Wiyiam and the profound scenery of mountains and stream from the view of Wiyiam. Also, pavilions such as Soyojeong(逍遙亭), Cheongujeong and Taegeukjeong(太極亭) built in Ongnyucheon seemed to be constructed as the spots to appreciate the view and waterfall sound of Wiyiam. Also the spots were not bounded by the function of creating special water systems such as Cheongujeong pond and Taegeukjeong pond and showed the outstanding landscape design skill to make people feel unusual interest from each spot. On the other hand, this study considered that the evening scenery of Wiyiam, beautiful sound of falling water, unusual water system with beautiful plant materials were landscaped for the function of the psychological peace and stability to the appreciators. Lastly, the extreme change of space composition in Ongnyucheon was assumed as a strategy to improve the existing poor drain environment by confirming that the mountain stream and wall of Soyojeong were removed and drainage in both side of Soyojeong was installed in the 21th year of King Gojong's reign(1884).

• Korean Journal of Heritage: History & Science
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• v.52 no.1
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• pp.190-211
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• 2019

In March 2015, The Agency for Cultural Affairs of Japan implemented a project called "Japan Heritage," which aims to promote the unique narratives of cultural properties of the region by branding the locality for revitalization in preparation for the 2020 Tokyo Olympics and Paralympics. This bottom-up approach of cultural policy has been called a "Cool Japan Strategy of Cultural Heritage" in the 21st century, which effectively incorporates local cultural heritage and tourism. However, although a total of 67 Japan Heritage projects have been designated as of December 2018, almost none has been introduced in the academic forum in Korea. On the basis of this background and a lack of academic awareness in Korea on Japan's recent cultural policies, this research aims to focus on the three cases of Gunma Prefecture implemented in local, global, and glocal aspects. To specify, the cases are the "Gunma Silk Heritage" project, implemented in 2011, the "Tomioka Silk Mill and Related Sites" project that was included on the UNESCO World Heritage List in 2014, and "The Best Wife in the World - Silk Story of Gunma," case certified as the first project of "Japan Heritage" launched in 2015. Based on the questionnaire method conducted with the World Heritage Registration Promotion Division in Gunma Prefectural Government, as well as a literature view, the research revealed that the consecutive implementation of a series of cultural heritage projects in Gunma is not coincidental, but rather a strategy aiming to create a synergism where each project complements the others. Moreover, this paper demonstrates that Gunma Prefecture has been utilizing the local silk industry as a tangible and intangible cultural resource in multi-layered heritage projects, resulting in a "spiral synergy effect" and a "chain of the recognition process." In conclusion, it illustrates the recent trend of utilizing cultural heritage in the context of the Cool Japan strategy, which seeks to move away from the administration of maintaining the status quo cultural heritage protection to a proactive one with greater potential growth. This research may thus provide meaningful insight into the utilization of domestic historical and cultural resources as well as related policy-making, in that it will ultimately promote the chain effect of linking the multiple heritage policies and projects at the local, global, and glocal levels.

• Sim-seong Yeon-gu
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• v.26 no.1
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• pp.36-66
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• 2011

The goal of this article is to examine the connection between creativity of unconscious and religion. Jung criticized how Freud's approach in studying the unconscious as a scientific inquiry focuses on the unconscious as reflecting only those which is repressed by the ego. Jung conceived of the unconscious as encompassing not only the repressed but also the variety of other psychic materials that have not reached the threshold of the consciousness in its range. Moreover, since human psyche is as individualistic as is a collective phenomenon, the collective psyche is thought to be pervasive at the bottom of the psychic functioning and the conscious and the personal unconscious comprising the upper level of the psychic functioning. Through clinical and personal experience, Jung had come to a realization that the unconscious has the self-regulatory function. The unconscious can make "demands" and also can retract its demands. Jung saw this as the autonomous function of the unconscious. And this autonomous unconscious creates, through dreams and fantasies, images that include an abundance of ideas and feelings. These creative images the unconscious produces assist and lead the "individuation process" which leads to the discovery of the Self. Because this unconscious process compensates the conscious ego, it has the necessary ingredients for self-regulation and can function in a creative and autonomous fashion. Jung saw religion as a special attitude of human psyche, which can be explained by careful and diligent observation about a dynamic being or action, which Rudolph Otto called the Numinosum. This kind of being or action does not get elicited by artificial or willful action. On the contrary, it takes a hold and dominates the human subject. Jung distinguished between religion and religious sector or denomination. He explained religious sector as reflecting the contents of sanctified and indoctrinated religious experiences. It is fixated in the complex organization of ritualized thoughts. And this ritualization gives rise to a system that is fixated. There is a clear goal in the religious sector to replace intellectual experiences with firmly established dogma and rituals. Religion as Jung experienced is the attitude of contemplation about Numinosum, which is formed by the images of the collective unconscious that is propelled by the creativity and autonomy of the unconscious. Religious sector is a religious community that is formed by these images that are ritualized. Jung saw religion as the relationship with the best or the uttermost value. And this relationship has a duality of being involuntary and reflecting free will. Therefore people can be influenced by one value, overcome with the unconscious being charged with psychic energy, or could accept it on a conscious level. Jung saw God as the dominating psychic element among humans or that psychic reality itself. Although Jung grew up in the atmosphere of the traditional Swiss reformed church, it does not seem that he considered himself to be a devoted Christian. To Jung, Christianity is a habitual, ritualized institution, which lacked vitality because it did not have the intellectual honesty or spiritual energy. However, Jung's encounter with the dramatic religious experience at age 12 through hallucination led him to perceive the existence of living god in his unconscious. This is why the theological questions and religious problems in everyday life became Jung's life-long interest. To this author, the reason why Jung delved into problems with religion has to do with his personal interest and love for the revival of the Christian church which had lost its spiritual vitality and depth and had become heavily ritualized.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.1-21
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• 2020

With the rapid development of artificial intelligence technology, various techniques have been developed to extract meaningful information from unstructured text data which constitutes a large portion of big data. Over the past decades, text mining technologies have been utilized in various industries for practical applications. In the field of business intelligence, it has been employed to discover new market and/or technology opportunities and support rational decision making of business participants. The market information such as market size, market growth rate, and market share is essential for setting companies' business strategies. There has been a continuous demand in various fields for specific product level-market information. However, the information has been generally provided at industry level or broad categories based on classification standards, making it difficult to obtain specific and proper information. In this regard, we propose a new methodology that can estimate the market sizes of product groups at more detailed levels than that of previously offered. We applied Word2Vec algorithm, a neural network based semantic word embedding model, to enable automatic market size estimation from individual companies' product information in a bottom-up manner. The overall process is as follows: First, the data related to product information is collected, refined, and restructured into suitable form for applying Word2Vec model. Next, the preprocessed data is embedded into vector space by Word2Vec and then the product groups are derived by extracting similar products names based on cosine similarity calculation. Finally, the sales data on the extracted products is summated to estimate the market size of the product groups. As an experimental data, text data of product names from Statistics Korea's microdata (345,103 cases) were mapped in multidimensional vector space by Word2Vec training. We performed parameters optimization for training and then applied vector dimension of 300 and window size of 15 as optimized parameters for further experiments. We employed index words of Korean Standard Industry Classification (KSIC) as a product name dataset to more efficiently cluster product groups. The product names which are similar to KSIC indexes were extracted based on cosine similarity. The market size of extracted products as one product category was calculated from individual companies' sales data. The market sizes of 11,654 specific product lines were automatically estimated by the proposed model. For the performance verification, the results were compared with actual market size of some items. The Pearson's correlation coefficient was 0.513. Our approach has several advantages differing from the previous studies. First, text mining and machine learning techniques were applied for the first time on market size estimation, overcoming the limitations of traditional sampling based- or multiple assumption required-methods. In addition, the level of market category can be easily and efficiently adjusted according to the purpose of information use by changing cosine similarity threshold. Furthermore, it has a high potential of practical applications since it can resolve unmet needs for detailed market size information in public and private sectors. Specifically, it can be utilized in technology evaluation and technology commercialization support program conducted by governmental institutions, as well as business strategies consulting and market analysis report publishing by private firms. The limitation of our study is that the presented model needs to be improved in terms of accuracy and reliability. The semantic-based word embedding module can be advanced by giving a proper order in the preprocessed dataset or by combining another algorithm such as Jaccard similarity with Word2Vec. Also, the methods of product group clustering can be changed to other types of unsupervised machine learning algorithm. Our group is currently working on subsequent studies and we expect that it can further improve the performance of the conceptually proposed basic model in this study.