• Journal of architectural history
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• v.17 no.1
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• pp.65-84
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• 2008

It is generally known that the temple structure in Korea was formalized by the ceremonial principle based on the Buddhist cosmology. But, there have been no concrete studies on how far the two have relationship with each other and what significance it implies in it. In other words, even though the temple structure reflects the Sumeru Mount cosmology which is the Buddhist cosmology, there is still uncertain aspects in the relationship between them. This research is a more concrete approach on what kind of corelation the Sumeru Mount cosmology has with the Korean temple structure. For this, the levels of related documents on the Buddhist cosmology and the Sumeru Mount cosmology have been arranged first. Then, on this basis, it is searched with what symbolism the cosmology has been accepted in the temple structure. The temple is a sacred space that holds Buddha and a profane space which the sattva (ordinary people) can approach at the same time. The site of the temple is also a land that is connected to the residence of sattva and a blissful area of prayer that they can be born again through Buddha at the same time. Thus, the double characteristics of sanctity and profanity are finally inter-connected with each other in the view point of Jinsokburi(Truth and Worldliness are not different), and the temple structure reflects this significance through the symbolism very well. Therefore, the correct recognition on the temple structure can be said as an important aspect to understand the purpose of Buddhism.

• Journal of Industrial Convergence
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• v.16 no.4
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• pp.19-25
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• 2018

The purpose of this study is to understand the reactions of viewers to the scene of violence (homely violence, verbal violence, tools violence) and to consider factors to consider when producing violent movies and suggest some implications. The implications of this study are as follows. First, film producers can be more realistic in dealing with disputes and controversies in the home than in the overall contents of the film. Second, when film producers put verbal violence into the film, they would rather not use excessive verbal or profanity, but rather use a verbal that would not make the relationship between the films strange. Finally, film makers should use some tools to mosaic the tools used to express violence to others, thereby reducing some of the cruelty expressed in movies.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.25-34
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• 2022

With the development of online services, the ripple effect of negative comments is increasing, and the damage of cyber violence is rising. Various methods such as filtering based on forbidden words and reporting systems prevent this, but it is challenging to eradicate negative comments. Therefore, this study aimed to increase the accuracy of the classification of negative comments using deep learning and blur the parts corresponding to profanity. Two different conditional training helped decide the number of deep learning layers and filters. The accuracy of 88% confirmed with 90% of the dataset for training and 10% for tests. In addition, Grad-CAM enabled us to find and blur the location of swear words in negative comments. Although the accuracy of classifying comments based on simple forbidden words was 56%, it was found that blurring negative comments through the deep learning model was more effective.

• Journal of KIISE:Software and Applications
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• v.37 no.10
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• pp.788-801
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• 2010

Advancing of mobile device is remarkable, so the research on mobile input device is getting more important issue. There are lots of input devices such as keypad, QWERTY keypad, touch and speech recognizer, but they are not as convenient as typical keyboard-based desktop input devices so input strings usually contain many typing errors. These input errors are not trouble with communication among person, but it has very critical problem with searching in database, such as dictionary and address book, we can not obtain correct results. Especially, Hangeul has more than 10,000 different characters because one Hangeul character is made by combination of consonants and vowels, frequency of error is higher than English. Generally, suffix tree is the most widely used data structure to deal with errors of query, but it is not enough for variety errors. In this paper, we propose fast approximate Korean word searching system, which allows variety typing errors. This system includes several algorithms for applying general approximate string searching to Hangeul. And we present profanity filters by using proposed system. This system filters over than 90% of coined profanities.