• The Journal of Korean Philosophical History
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• no.58
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• pp.201-243
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• 2018

Understanding the theory of how a religion accepts the perspective on death is a prerequisite to grasp the identity and characteristics of such religion. Furthermore, contemplating the perspective on death, itself has a significant meaning as the contemplation provides an insight on how religion has, currently is and how it would influence the practical life of the human race. This current study compares and analyzes the perspective on death accepted by New Religions of Jeungsan, Confucianism and Taoism. By comparing the perspectives on death, this study seeks to conclude the similarity and discrepancy of New Religions of Jeungsan, Confucianism and Taoism. The objective of this study is to summarize the religious characteristic and identity of New Religions of Jeungsan, and the social role of New Religions of Jeungsan. How does New Religions of Jeungsan preach afterlife? This question implies varieties of questions including: In what shape or form does human exist in afterlife?; Does human maintain their original identity in afterlife?; What happens to relations with family members in afterlife?; What is one's role in afterlife, and what would one experience in afterlife? or Does soul transmigrate or are reborn? This current study compares the answers to these questions one by one with Confucianism and Taoism.In general, this current study was conducted with a non-religious methodology. Death can be explained in three different domains: the psychological domain explaining the individual psychological awareness upon encountering death; the philosophical-religious domain explaining the death through the philosophical understanding of the human concept; and the socio-cultural domain explaining death through the social ceremonies upon death.This current study focuses on the philosophical domain of the perspective on death accepted by New Religions of Jeungsan, with a comparison of the socio-cultural significance. To understand the perspective on death preached by New Religions of Jeungsan, It is indispensable to explain the five key elements of Hon(魂), Baek (魄), Shin(神), Young(靈) and Seon(仙) that construe death. The perspective on death preached by New Religions of Jeungsan imposes a multi layer of acceptance and overcoming. This current study complements the problems and limits of previous studies by comparison with Confucianism and Taoism. Throughout this process, this current study intends to highlight the key elements of the perspective on death preached by Deasunjinrihoe, and identify the aspects of each key element. With the sophisticated discussion of the perspective on death provided by New Religions of Jeungsan with clarity, this current study will provide grounds for future studies to extract, in detail, the aspects of the perspective on death preached by New Religions of Jeungsan, in further subjects including: discussions on death such as rituals for death, treatment of bodies, funerals, educating death, euthanasia, or suicide; discussions on the existence of hell; discussions on psychological aspects of ones who encounter death; or discussions on rebirth of those who died during the creation era. This current study will provide an overview on what kind of perspective on death does those who are faithful to New Religions of Jeungsan have and currently are living their life with.

• Journal of Intelligence and Information Systems
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• v.26 no.4
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• pp.67-86
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• 2020

Recommender Systems have been huge influence users and business more and more. Recently the importance of E-commerce has been reached rapid growth greatly in world-wide COVID-19 pandemic. Recommender system is the center of E-commerce lively. Top ranked E-commerce managers mentioned that recommender systems have a major influence on customer's purchase such as about 50% of Netflix, Amazon sales from their recommender systems. Most algorithms have been focused on improving accuracy of recommender system regardless of novelty, diversity, serendipity etc. Recommender systems with only high accuracy cannot satisfy business long-term profit because of generating sales polarization. In addition, customers do not experience enjoyment of shopping from only focusing accuracy recommender system because customer's preference is changed constantly. Therefore, recommender systems with various values need to be developed for user's high satisfaction. Reranking is the most useful methodology to realize diversity of recommender system. In this paper, diversity of recommender system is represented through constructing high similarity with users who have different preference using each user's purchased item's category algorithm. It is distinguished from past research approach which is changing the algorithm of recommender system without user's diversity preference level. We tried to discover user's diversity preference level and observed the results how the effect was different according to user's diversity preference level. In addition, graph-based recommender system was used to show diversity through user's network, not collaborative filtering. In this paper, Amazon Grocery and Gourmet Food data was used because the low-involvement product, such as habitual product, foods, low-priced goods etc., had high probability to show customer's diversity. First, a bipartite graph with users and items simultaneously is constructed to make graph-based recommender system. However, each users and items unipartite graph also need to be established to show diversity of recommender system. The weight of each unipartite graph has played crucial role changing Jaccard Distance of item's category. We can observe two important results from the user's unipartite network. First, the user's diversity preference level is observed from the network and second, dissimilar users can be discovered in the user's network. Through the research process, diversity of recommender system is presented highly with small accuracy loss and optimalization for higher accuracy is possible controlling diversity ratio. This paper has three important theoretical points. First, this research expands recommender system research for user's satisfaction with various values. Second, the graph-based recommender system is developed newly. Third, the evaluation indicator of diversity is made for diversity. In addition, recommender systems are useful for corporate profit practically and this paper has contribution on business closely. Above all, business long-term profit can be improved using recommender system with diversity and the recommender system can provide right service according to user's diversity level. Lastly, the corporate selling low-involvement products have great effect based on the results.

• Korean Journal of Heritage: History & Science
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• v.55 no.2
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• pp.252-271
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• 2022

This article examines the characteristics of the royal tombs of the late Silla Dynasty with the statues of the 12 animal deities(Zodiac) and estimates the process of change. The features of the statues show a difference in their combination in terms of continuity and similarity of the object in their hands. In addition, there is a difference in the shape of the face of the stone statue, and differences are observed in the orientation and aspect ratio of the statue according to the sculptural method. The characteristics of these statues are somewhat different from the previously studied protected-stone and manufacturing techniques. For example, the Zodiac statues that are flattened from high relief to low relief are known to be decorated in realistic expressions, but they tend to be treated as separate conditions because they do not match the change of the stone. In addition, there was a characteristic that did not show regular changes, such as appearing and disappearing again when there was no balustrade in the tomb. Summing up the characteristics of each part, the Zodiac statues are largely divided into curved angles and flat angles according to the sculptural technique, and the head orientation and clothing of the statue are related. They are divided into two categories and can be viewed as having temporality according to the aspect ratio. These characteristic changes are consistent with the continuity of features and changes in the object in the hands of the 12 Zodiac statues. Therefore, the number of faces with protected-stone changes were gradually increasing in trend. As a result, there is a possibility that the Gujeongdong Square-shape Tomb and King Jindeok Tomb are earlier royal tombs than the Wonseong Royal Tomb. Therefore, the royal tombs of the late Silla Dynasty have a complete, tomb structure, containing the 12 animal god statues, ceremonial spaces(拜禮空間), Shindo(神道), stone statues(石像), and tombstones. This can be understood as a basic motif for the royal tomb structures of Goryeo and Joseon.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.127-146
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• 2022

Recently, as word embedding has shown excellent performance in various tasks of deep learning-based natural language processing, researches on the advancement and application of word, sentence, and document embedding are being actively conducted. Among them, cross-language transfer, which enables semantic exchange between different languages, is growing simultaneously with the development of embedding models. Academia's interests in vector alignment are growing with the expectation that it can be applied to various embedding-based analysis. In particular, vector alignment is expected to be applied to mapping between specialized domains and generalized domains. In other words, it is expected that it will be possible to map the vocabulary of specialized fields such as R&D, medicine, and law into the space of the pre-trained language model learned with huge volume of general-purpose documents, or provide a clue for mapping vocabulary between mutually different specialized fields. However, since linear-based vector alignment which has been mainly studied in academia basically assumes statistical linearity, it tends to simplify the vector space. This essentially assumes that different types of vector spaces are geometrically similar, which yields a limitation that it causes inevitable distortion in the alignment process. To overcome this limitation, we propose a deep learning-based vector alignment methodology that effectively learns the nonlinearity of data. The proposed methodology consists of sequential learning of a skip-connected autoencoder and a regression model to align the specialized word embedding expressed in each space to the general embedding space. Finally, through the inference of the two trained models, the specialized vocabulary can be aligned in the general space. To verify the performance of the proposed methodology, an experiment was performed on a total of 77,578 documents in the field of 'health care' among national R&D tasks performed from 2011 to 2020. As a result, it was confirmed that the proposed methodology showed superior performance in terms of cosine similarity compared to the existing linear vector alignment.

• Journal of the Korean Society of Floral Art and Design
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• no.45
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• pp.77-95
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• 2021

This study considers the problem of reality that our floral art has to overcome as a loss of the floral art spirit caused by the expansion of Western-centered formalism flower culture, and considers the discussion on the deformality of distancing and the free spirit of nomadism. The floral art, which works on the creator's aesthetic mental world through flowers, is an art of mental image that values the free mental world of the creator. It also refers to the importance of artist consciousness as an art of self-imago that makes the target world beyond the "expression of similarity" that reproduces the target world. In this context, the lack of concern about the identity of Korean floral art appears to be the creative training and work of Korean floral artists who are biased toward Western expression techniques and creative methods. It also expresses a problem with our cultural consciousness, which is dominated by the Western flower culture of flower design. Here, we are obliged to understand the reality of Korean floral art biased by Western flower design and to organize discussions to solve the problem. Therefore, this study examines the problems that our floral art has to overcome as part of seeking the identity of Korean floral art and enhancing the cultural value of Korean floral art through criticism of Western cultural acceptance. This is a historical consideration of the nature of Korean floral art to recover, while also a process of identifying the meaning of the free creative spirit that the artist should maintain as an aesthetic art. Furthermore, such criticism of the Korean floral art culture and discussion of introspection are expected to serve as an opportunity to further expand the academic discourse system for the floral art while embodying the "identity" of Korean floral art.

• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.363-370
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• 2023

Various earth observation satellites need to provide accurate and high-quality data after launch. To maintain and enhance the quality of satellite data, it is crucial to employ a cross-calibration process that accounts for differences in sensor characteristics, such as the spectral band adjustment factor (SBAF). In this study, we utilized Landsat-8 and Sentinel-2A satellite imagery collected from desert sites in Libya4, Algeria3, and Mauritania2 among pseudo-invariant calibration sites to calculate and apply SBAF, thereby compensating the uncertainties arising from variations in bandwidths. We quantitatively compared the reflectance differences based on the similarity of bandwidths, including Blue, Green, Red, and both the near-infrared (NIR) narrow, and NIR bands of Sentinel-2A. Following the application of SBAF, significant results with reflectance differences of approximately 1% or less were observed for all bands except NIR. In the case of the Sentinel-2A NIR band, it exhibited a significantly larger bandwidth difference compared to the NIR narrow band. However, after applying SBAF, the reflectance difference fell within the acceptable error range (5%) of 1-2%. It indicates that SBAF can be applied even when there is a substantial difference in the bandwidths of the two sensors, particularly in situations where satellite utilization is limited. Therefore, it was determined that SBAF could be applied even when the bandwidth difference between the two sensors is large in a situation where satellite utilization is limited. It is expected to be helpful in research utilizing the quality and continuity of satellite data.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.167-183
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• 2023

In the recent field of recommendation systems, various studies have been conducted to model sparse data effectively. Among these, GLocal-K(Global and Local Kernels for Recommender Systems) is a research endeavor combining global and local kernels to provide personalized recommendations by considering global data patterns and individual user characteristics. However, due to its utilization of kernel tricks, GLocal-K exhibits diminished performance on highly sparse data and struggles to offer recommendations for new users or items due to the absence of side information. In this paper, to address these limitations of GLocal-K, we propose the GEase-K (Global and EASE kernels for Recommender Systems) model, incorporating the EASE(Embarrassingly Shallow Autoencoders for Sparse Data) model and leveraging side information. Initially, we substitute EASE for the local kernel in GLocal-K to enhance recommendation performance on highly sparse data. EASE, functioning as a simple linear operational structure, is an autoencoder that performs highly on extremely sparse data through regularization and learning item similarity. Additionally, we utilize side information to alleviate the cold-start problem. We enhance the understanding of user-item similarities by employing a conditional autoencoder structure during the training process to incorporate side information. In conclusion, GEase-K demonstrates resilience in highly sparse data and cold-start situations by combining linear and nonlinear structures and utilizing side information. Experimental results show that GEase-K outperforms GLocal-K based on the RMSE and MAE metrics on the highly sparse GoodReads and ModCloth datasets. Furthermore, in cold-start experiments divided into four groups using the GoodReads and ModCloth datasets, GEase-K denotes superior performance compared to GLocal-K.

• Journal of Popular Narrative
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• v.25 no.1
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• pp.217-247
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• 2019

This research paper intends to examine the intertextuality of Klaus Mann's novel Mephisto (1936) and István Szabó's film Mephisto (1981) and how the derivative contents (i.e., film) accepted and improved the schematic aesthetics of conviction in original contents (i.e., novel). In general, the aesthetics of conviction is applied to criticize the state socialism of the artists of the Third Reich or the ideology of the artists of East Germany from a biased ethical perspective. Mephisto is also based on the aesthetics of conviction. Thus, it would be meaningful to examine the characteristic similarity and difference between Klaus Mann's real antagonist (i.e., Gustaf Gründgens) and fictional antagonist (i.e., Hendrik Höfgen) from a historical critical perspective. In this process, an aesthetic distance between the real and fictional antagonists would be secured through the internal criticism in terms of intertextuality. In this respect, the film aesthetics of István Szabó are deemed to overcome the schematic limit of the original novel. The conviction in both the novel and film of Mephisto pertains to the belief and stance of a person who compromised with the state socialism of Nazi Germany, i.e., succumbed to the irresistible history. Klaus Mann denounced Mephisto's character Höfgen (i.e., Gründgens in reality) as an "Mephisto with evil spirits" from the perspective of exile literature. For such denunciation, Klaus Mann used various means such as satire, caricature, sarcasm, parody and irony. However, his novel is devoid of introspection and "utopianism", and thus could be considered to allow personal rights to be disregarded by the freedom of art. On the contrary, István Szabó employed the two different types of evil (evil of Mephisto and evil of Faust) from a dualistic perspective (instead of a dichotomous perspective of good and evil) by expressing the character of Höfgen like both Mephisto and Hamlet (i.e., "Faust with both good and evil spirits). However, Szabó did not present the mixed character of "Mephisto and Hamlet (Faust)" only as an object of pity. Rather, Szabó called for social responsibility by showing a much more tragic end. As such, the novel Mephisto is more like the biography of an individual, and the film Mephisto is more like the biography of a generation. The aesthetics of conviction of Mephisto appears to overcome biased historical and textual perspectives through the irony of intertextuality between the novel and the film. Even if history is an irresistible "fate" to an individual, human dignity cannot be denied because it is the "value of life". The issue of conviction is not only limited to the times of Nazi Germany. It can also be raised with the ideology of the modern and contemporary history of Korea. History is so deeply rooted that it should not be criticized merely from a dichotomous perspective. When it comes to the relationship between history and individual life, a neutral point of view is required. Hopefully, this research paper will provide readers with a significant opportunity for finding out their "inner Mephisto" and "inner Hamlet."

• Journal of Nutrition and Health
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• v.9 no.1
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• pp.84-91
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• 1976

Chemical determination were made to analyze the concentration of nutrients including proximate composition, vitamins, minerals, amino acids and fatty acids in three kinds of locally produced infantile formula milk(DFM) and one fermented milk(FM). An attempt was also made to compare the analytical values of nutrients against guaranteed values. The results obtained are summarized as follows; 1. The analyzed value of protein and fat content in DFM-A.B.C was slightly lower than that of guaranteed values and a reverse trend was observed in the case of total carbohydrate. There were no differences in proximate composition among the three kinds of DFM. It was found that the FM contained less protein and fat than the fresh milk, but it seemed that a considerable amount of sugar was added to FM. 2. The analyzed values of vitamin $A(2{\sim}3\;times)$ and $E(4{\sim}6\;times)$ contents in DFMS were higher than those of the guaranteed values except niacin. There were a little differences in vitamin contents among DFMS analyzed. 3. In the case of minerals, the analyzed values were similar to the guaranteed values except the calcium concentration that analyzed value was much higher than guaranted value. When the DFMS were diluted to 15% by adding water to compare with the human and fresh cow milk, it was found that the diluted DFMS resembled the human milk rather than cow milk in the content of energy, carbohydrates, protein and ash. The higher contents of iron and most vitamins in the diluted DFMS than the human milk or cow milk would indicate that they were fortificated with these nutrients. When these diluted DFMS were compared with the Korean R.D.A. for infant, it was clear that they could supply sufficient amount of the nutrients required by R.D.A. except the niacin which failed to reach the recommended level. The fact that iron content of DFM-C was not sufficient while vitamin A supply was excessive by 6 fold would indicate that further studies for the improvement may be necessary. 4. There was a little difference among DFMS in amino acid composition. The similarity of the essential amino acids composition between DFMS and cow milk indicated that there was no modification of the essential amino acids. However, present data showed that the amino acid compositon of FM was similar to that of the cow milk. 5. There was no difference among DFMS in the degree of saturation of fatty acids. The similar or higher levels of essential fatty acids contents of DFMS as compared with human milk revealed that essential fatty acids were added to DFMS during the course of process. From the experimental results described above, it may be concluded that the nutritive effects of three kinds of locally produced DFMS were much alike. It was also found that macro and micro nutrient composition except amino acid composition of locally produced dried formula milk was very much similar to that of the human milk. Moreover, fortification of iron and vitamins resulted in improving their nutritive values as the single form of infantile food, but it seemed that more consideration should be given on the fortification of some nutrients.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.25-44
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• 2013

Accessing movie contents has become easier and increased with the advent of smart TV, IPTV and web services that are able to be used to search and watch movies. In this situation, there are increasing search for preference movie contents of users. However, since the amount of provided movie contents is too large, the user needs more effort and time for searching the movie contents. Hence, there are a lot of researches for recommendations of personalized item through analysis and clustering of the user preferences and user profiles. In this study, we propose recommendation system which uses ontology based knowledge base. Our ontology can represent not only relations between metadata of movies but also relations between metadata and profile of user. The relation of each metadata can show similarity between movies. In order to build, the knowledge base our ontology model is considered two aspects which are the movie metadata model and the user model. On the part of build the movie metadata model based on ontology, we decide main metadata that are genre, actor/actress, keywords and synopsis. Those affect that users choose the interested movie. And there are demographic information of user and relation between user and movie metadata in user model. In our model, movie ontology model consists of seven concepts (Movie, Genre, Keywords, Synopsis Keywords, Character, and Person), eight attributes (title, rating, limit, description, character name, character description, person job, person name) and ten relations between concepts. For our knowledge base, we input individual data of 14,374 movies for each concept in contents ontology model. This movie metadata knowledge base is used to search the movie that is related to interesting metadata of user. And it can search the similar movie through relations between concepts. We also propose the architecture for movie recommendation. The proposed architecture consists of four components. The first component search candidate movies based the demographic information of the user. In this component, we decide the group of users according to demographic information to recommend the movie for each group and define the rule to decide the group of users. We generate the query that be used to search the candidate movie for recommendation in this component. The second component search candidate movies based user preference. When users choose the movie, users consider metadata such as genre, actor/actress, synopsis, keywords. Users input their preference and then in this component, system search the movie based on users preferences. The proposed system can search the similar movie through relation between concepts, unlike existing movie recommendation systems. Each metadata of recommended candidate movies have weight that will be used for deciding recommendation order. The third component the merges results of first component and second component. In this step, we calculate the weight of movies using the weight value of metadata for each movie. Then we sort movies order by the weight value. The fourth component analyzes result of third component, and then it decides level of the contribution of metadata. And we apply contribution weight to metadata. Finally, we use the result of this step as recommendation for users. We test the usability of the proposed scheme by using web application. We implement that web application for experimental process by using JSP, Java Script and prot$\acute{e}$g$\acute{e}$ API. In our experiment, we collect results of 20 men and woman, ranging in age from 20 to 29. And we use 7,418 movies with rating that is not fewer than 7.0. In order to experiment, we provide Top-5, Top-10 and Top-20 recommended movies to user, and then users choose interested movies. The result of experiment is that average number of to choose interested movie are 2.1 in Top-5, 3.35 in Top-10, 6.35 in Top-20. It is better than results that are yielded by for each metadata.