• The Journal of Korean Philosophical History
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• no.56
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• pp.9-46
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• 2018

Seongdeokdaewang-Shinjong, the 29th National Treasure, is highly valuable as a study material in various aspects including the histories of ideology, Buddhism, politics, art-craft, Chinese character study, calligraphy, epigraphy and so on of the mid-time of Shinra. Compared with the people's interest in the Shinjong, however, the studies on the words carved on it have not been yet deepened. Such studies have not been yet overcoming the phase of decoding and translation of the words. Today, it is required to analyze and study the words systematically. This article starts with such critical mind. That is why the subtitle of this article is Research on the Background of Thoughts considering that this study must be followed by its 2nd study. This study has totally reviewed the decoding and annotation works that have been done so far. Byeonryeomun (騈儷文: a writing style of Chinese character) has been also studied on its written patterns. As a result, approximately 20 problems have been found and corrected. Especially, such key phrases as '工匠?模' and '日月?暉' have been translated in a new way to spotlight the importance of translation of the carved words. The words carved on the Shinjong are highly valuable to study in the aspect of ideology history. The words fully show not only Buddhist thoughts, Confucian thoughts and Taoist thoughts but also Korea's own unique thoughts, which are all melted in the words without any obstacle to each other. In general, they are highly philosophical words. The words are unique especially in the aspect: They give a meaning to the Shinjong based on the keyword Won-Gong (圓空: circle and empty) and suggest the key point of Buddhist thoughts and governing philosophy altogether. That is, they imply that King Seongdeok's political ideology and governing principle are connected to Pungryudo (風流道), Korea's own unique philosophy. This implication is key evidence that makes it possible to trace the context of transmission of Pungryudo. You should not miss also the phrases implying that there was a big argument between reform group based on Confucian thoughts and conservative group based on Korea's own unique thoughts.

• Journal of the Korea Safety Management & Science
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• v.2 no.4
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• pp.71-90
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• 2000

This study proposes strategical, practical guide to build up ERP system through several case studies to large company and comparative analysis of success and fail factors. Key words in paper .is in summary of previous BPR and ERP studies, try to clarify relationship between BPR and ERP, derivative seeking of practical key success factors through several real cases studies to build up ERP system which is in-house development or customization of commercial package.

• The Journal of Information Systems
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• v.30 no.1
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• pp.45-64
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• 2021

Purpose The traditional topic modeling technique makes it difficult to distinguish the semantic of topics because the key words assigned to each topic would be also assigned to other topics. This problem could become severe when the number of online reviews are small. In this paper, the extended model of topic modeling technique that can be used for analyzing a small amount of online reviews is proposed. Design/methodology/approach The extended model of being proposed in this paper is a form that combines the traditional topic modeling technique and the Word2Vec technique. The extended model only allocates main words to the extracted topics, but also generates discriminatory words between topics. In particular, Word2vec technique is applied in the process of extracting related words semantically for each discriminatory word. In the extended model, main words and discriminatory words with similar words semantically are used in the process of semantic classification and naming of extracted topics, so that the semantic classification and naming of topics can be more clearly performed. For case study, online reviews related with Udo in Tripadvisor web site were analyzed by applying the traditional topic modeling and the proposed extension model. In the process of semantic classification and naming of the extracted topics, the traditional topic modeling technique and the extended model were compared. Findings Since the extended model is a concept that utilizes additional information in the existing topic modeling information, it can be confirmed that it is more effective than the existing topic modeling in semantic division between topics and the process of assigning topic names.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.4
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• pp.77-92
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• 2023

The purpose of this study is to investigate the public perception of Gorpcore through Big Aata analytics. The study was conducted based on the collection of Big Data on the word 'Gorpcore' through Textom from July 24, 2017 to March 31, 2023. As a result, 63,386 words were collected from a total of 18,879 posts, and the top 50 words were determined based on frequency of appearance. Based on the collected words, centrality measures and CONCOR algorithm were performed in Ucinet 6. The research results are as follows. 1) The frequency of appearance was high in the order of 'Gorpcore look', 'fashion', 'coordination', 'clothes', 'outdoor', 'Musinsa', 'look', 'trend', 'brand' and 'ahjussi (middle-aged old man in Korean)'. These words had high TF-IDF scores, which leads to the conclusion that these are key words that are recognized as important. 2) Network centrality shows that 'Gorpcore look', 'fashion', 'outdoor', 'coordination', 'clothes', 'trend', 'look' and 'style' have a high correlation with other words. Through this, it was found that the public thinks it is important to create a variety of fashions by styling high-performance outdoor wear and casual wear, and that they are highly interested in clothes and in brands leading the Gorpcore trend. 3) As a result of the CONCOR algorithm, four significant groups were formed. The words that appear in each group are as follows. Group 1 - 'outdoor', 'Gorp', 'Normcore', 'hiking', 'functionality', 'new', 'sports', 'casual wear', 'activity', 'generation', 'collaboration'. Group 2 - 'fashion', 'trend', 'look', 'brand', 'style', 'shoes', 'ugly', 'item', 'trend', 'product', 'Salomon', 'padded jacket', 'stylishness', 'utilization', 'Winter', 'street', 'design', 'retro', 'popular', 'styling'. Group 3 - 'Gorpcore look', 'coordination', 'Musinsa', 'windbreaker', 'recommendation', 'Arcteryx', 'pants', 'man'. Group 4 - 'clothes' 'ahjussi', 'jacket', 'launching', 'spring', 'The North Face', 'collection', 'utility', 'jumper'. As a result, it can be seen that the Gorpcore is also regarded as a part of outdoor, fashion, coordination, and casual wear.

• Journal of Food Hygiene and Safety
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• v.32 no.2
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• pp.96-100
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• 2017

Through the increasing use of internet and smart device, consumers can search the information what they want to find. The information has been accumulated and become into a big data. Analyzing the big data regarding key words associated with foods and foodborne pathogens could be a method for predicting foodborne illness outbreaks, especially in school food services. Therefore, the objective of this study was to elucidate the correlations between key words associated with foods and food safety issues. Frequencies of the key words for foodborne pathogens and food safety issues were searched using an internet portal site from January 1, 2012 to December 31, 2014. In addition, foodborne outbreak data were collected from Ministry of Food and Drug Safety for the same period of time. There was correlation between the time having maximum key word frequencies of foods and foodborne pathogens, and the time for foodborne illness outbreak occurred. In addition, the search frequencies for foods and foodborne pathogens were generally increased right after foodborne outbreaks occurred. However, in some cases foodborne outbreaks occurred after the search frequencies for certain seasonal foods increased These results could be useful in food safety management for reducing foodborne illness and in food safety communication.

• International Journal of Advanced Culture Technology
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• v.4 no.2
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• pp.7-18
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• 2016

The first D2C-era web-real variety show in Korea was broadcast via tvN of CJ E&M. The web-real variety program 'SinSeoYuGi' accumulated 54 million views, along with 50 million views at the Chinese portal site QQ. This study carries out an analysis using text mining that extracts portal site blogs, twitter page views and associative terms. In addition, this study derives viewers' response by extracting key words with opinion mining techniques that divide positive words, neutral words and negative words through customer sentiment analysis. It is found that the success factors of the web-real variety were reduced in appearance fees and production cost, harmony between actual cast members and scenario characters, mobile TV programing, and pre-roll advertising. It is expected that web-real variety broadcasting will increase in value as web contents in the future, and be established as a new genre with the job of 'technical marketer' growing as well.

• Korean Institute of Interior Design Journal
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• v.14 no.6 s.53
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• pp.21-28
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• 2005

Arata Isozaki is one of the Japan's most important contemporary architects with an international reputation and has designed notable buildings in Asia, Europe, and the United States. Arata Isozaki is not an architect simply explained by a single ism or style, he has dedicated himself to express all diversities implied in different periods and styles. With an avant-garde spirit and enthusiastic creativity, he has devoted all his efforts to bring these diversities and complexities into his own architectural works. The study was aimed to identify the key characteristics implied in his overall design concept. Through the analysis of his works, the key features underlined in his works were characterized by five key words, which are tradition, eclectic, metaphor, metabolism and proportion. These five characteristics have been well Presented in his works individually and sometimes as a whole. His unique combination among these key design concepts has been impressed by many other architects in worldwide.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.10a
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• pp.147-150
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• 2005

Arata Isozaki is one of Japan's most important contemporary architects with an international reputation and has designed notable buildings in Asia, Europe, and the United States. The study was aimed to identify the key characteristics implied in his overall design concept. Through the analysis of his works, the key features underlined in his works were characterized by five key words, which are tradition, eclectic, metaphor, metabolism and proportion . These five characteristics have been well presented in his works individually and sometimes as a whole. His unique combination among these key design concepts has been impressed by many other architects in worldwide. Through in-depth analysis of his design philosophy, this study raises a foundation for further studies on exploring an optimal solution for the harmonization between tradition and globalism.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.371-382
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• 2017

This study aims to analyze the research trend of cultural policy-related papers based on 832 key words among 186 whole articles in the Journal of Cultural Policy by the Korea Culture & Tourism Institute from October 2008 to January 2017. The analysis was performed using a big data analysis technique called the Semantic Network Analysis. The Semantic Network Analysis consists of frequency analysis, density analysis, centrality analysis including degree centrality, betweenness centrality, and eigenvector centrality. Lastly, the study shows a figure visualizing the results of the centrality analysis through Netdraw program. The most frequently exposed key words were 'culture', 'cultural policy/administration', 'cultural industry/cultural content', 'policy', 'creative industry', in the order. The key word 'culture' was ranked as the first in all the analysis of degree centrality, betweenness centrality and eigenvector centrality, followed by 'policy' and 'cultural policy/administraion'. The key word 'cultural industry/cultural content' with very high frequency recorded high points in degree centrality and eigenvector centrality, but showed relatively low points in betweenness centrality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1614-1632
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• 2017

Bag of visual words is a popular model in human action recognition, but usually suffers from loss of spatial and temporal configuration information of local features, and large quantization error in its feature coding procedure. In this paper, to overcome the two deficiencies, we combine sparse coding with spatio-temporal pyramid for human action recognition, and regard this method as the baseline. More importantly, which is also the focus of this paper, we find that there is a hierarchical structure in feature vector constructed by the baseline method. To exploit the hierarchical structure information for better recognition accuracy, we propose a tree regularized classifier to convey the hierarchical structure information. The main contributions of this paper can be summarized as: first, we introduce a tree regularized classifier to encode the hierarchical structure information in feature vector for human action recognition. Second, we present an optimization algorithm to learn the parameters of the proposed classifier. Third, the performance of the proposed classifier is evaluated on YouTube, Hollywood2, and UCF50 datasets, the experimental results show that the proposed tree regularized classifier obtains better performance than SVM and other popular classifiers, and achieves promising results on the three datasets.