• Journal of Digital Convergence
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• v.17 no.7
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• pp.35-41
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• 2019

This study aims to analyze the cosmedical cosmetics market and the nature of customer through the social big data analysis. More than 80,000 posts were analyzed using R program. After data cleansing, keyword frequency analysis and association analysis were performed to understand customer needs and competitor positioning, formulated several implications for marketing strategy sophistication and implementation. Analysis results show that "prevention" is a new and essential attribute for appealing target customers. The expansion of the product line for the gift market is also suggested. It has been shown that there is a high correlation with products that can be complementary to each other. In addition to the traditional marketing technique, the social big data analysis based on evidence was useful in deriving the characteristics of the customers and the market that had not been identified before. Word2vec algorithm will be beneficial to find additional.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.47 no.4
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• pp.168-176
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• 2015

The history of paper folding had continued before that the paper manufacturing technique was spread in the 3rd century and it was used for witchcrafts and rituals. Fold means as was used with the word Cheop and Jeopji. In the Three Kingdoms period, the conical hat with fabric spread as customs, then it was made of the paper that led the popularization of paper folding form the early Joseon Dynasty. Paper crafts and living things with paper are mostly derived from fabrics except the paper written for saint's name related God. In the period of the tribe nation, witchcrafts and rituals brought to Japan via the Korean Peninsula, as a result Kami which means God in Japanese that becomes the paper. The first folding fan was made to develop from the fan, Baekseopsun in the end of Goryeo Dynasty. It was an outstanding application of paper folding crafts. Since the early Joseon Dynasty, paper flower folding has considered as the virtue of savings and has developed one of the Korean traditional paper arts. Paper folding has also developed in the practical uses like the other Korean paper arts but paper folding that was developed as seasonal customs, playing or religious purpose showed a different trend from Korean paper arts.

• Journal of The Korean Association of Information Education
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• v.11 no.1
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• pp.91-98
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• 2007

Plagiarism is a serious problem in school education due to current technologies such as the internet and word processors. This paper presents how to detect source code plagiarism using similarity based on string comparison methods. The main contribution is to use hierarchical agglomerative clustering technique to classify plagiarism groups, which are then visualized as a dendrogram. Graders can set an empirical threshold to the dendrogram to navigate plagiarism groups. We evaluated the performance of the presented method with a real world data. The result showed the usefulness and applicability of this method.

• Lingua Humanitatis
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• v.1 no.2
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• pp.47-63
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• 2001

"A Variation of Love" is a characteristic Kim Soo-Young poem, in that it embodies the poet′s innovative use of language and proceeds speedily, like many of his other poems. Above all, the poem reveals the core of Kim′s poetical spirit, his speculation about love. The poem is difficult to understand because it broadly uses run-on lines and even run-on stanzas, a technique that many readers are unfamiliar with. The semiological approach of this paper will bring new light on the poem by restructuring the relationship between signs, that is, by taking apart the sign system of the original text and reconstructing its sentence structure. If we rearrange the poem from its original six stanzas and fifty-one lines to four stanzas and twenty-three lines, we will discover a close connection between stanzas 1 and 2, and between stanzas 3 and 4. Of the many keywords of the poem, we may establish the dominant word as "love," into which every poetic word converges and from which each word emanates. Another important keyword is "fatigue of the city" in stanza 4. Similarly negative aspects of the city may be found in the line "the same may be said of Bombay, of New York, of Seoul" in stanza 3, as well as in the words "desire" in combination with "the lamplights of Seoul like leftovers in the pig sty" in stanza 1. The persona of the poem tries to overcome the "fatigue of the city" by "love," but the way he realizes love is, somewhat peculiarly, through stillness and silence. The persona aligns "the stones of the peach and the apricot and the dried persimmon" with the his faith in love. He calls the stones "beautiful hardness" presumably because that hardness (the stillness and silence) may blossom into beauty. In the earlier stanzas, the persona′s quest for love results in an awareness that love is omnipresent, but the persona determines "not to shout it out loud." The reason for this determination is found in stanza 4. Those who experience the "fatigue of the city" will be able to realize it by themselves. This seemingly defeatist conclusion by no means suggest pessimism, for the persona holds the conviction that "there will come a day when [one] will rave for love." This conviction rescues the poem from the dismal mood suggested by the "fatigue of the city." At all events, it is important to note that the "fatigue of the city" should not be considered apart from "love." Yet, strangely enough, the poem embodies a severe critique of the city, and further investigation is necessary in order to clarify why this critique appears in the form of "love." But this will be the treated in another paper.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.4
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• pp.727-739
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• 2021

The purpose of this study is to present the objective evaluation semantic scale of avant-garde design. Apparel majors were asked to express associative vocabulary, design development, and final design intentions for the avant-garde, and the final 70 copies were used for analysis. The results found the item style was shown often in the order of dress, coat, and combination of shirt and pants. In order, the silhouettes appeared as atypical, complex, square, and triangular; the decorations appeared as feathers, frills, and round sculptures; and the idea method appeared as extreme, association, and removal method. In examining the relations of associative words and idea designs, the dress had relations with associative words such as 'peculiar,' 'futuristic,' 'fancy,' 'Comme des Garcons,' and 'deconstruction.' As for the relationship between the idea design and the expression image vocabulary, it was found that 'one piece' recalled 'huge,' 'volume,' 'abundant,' 'peculiar,' and 'unknown,' while 'coat' recalled 'huge,' 'big silhouette,' and 'padding.' In conducting the word cloud technique, the overall design showed the central keywords were 'huge,' 'big silhouette,' 'unbalance,' 'feather,' 'structural,' 'unknown,' and 'frill,' in order.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.63-71
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• 2011

The current Web portal sites provide significant keywords with high popularity or importance; specifically, user-friendly services such as tag clouds and associated word search are provided. However, in general, since news articles are classified only with their date and categories, it is not easy for users to find other articles related to some articles while reading news articles classified with categories. And the conventional associated keyword service has not satisfied users sufficiently because it depends only upon user queries. This paper proposes a way of searching news articles by utilizing the keywords tightly associated with users' queries. Basically, the proposed method discovers a set of keyword association patterns by using the association rule mining technique that extracts association patterns for keywords by focusing upon sentences containing some keywords. The method enables users to navigate the space of associated keywords hidden in large news articles.

• Journal of Korean Home Economics Education Association
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• v.30 no.4
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• pp.93-112
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• 2018

We analysed the textbooks of Home Economics in middle school from 1^st to 2009 curriculums to investigate the contents and the portion of Food and Nutrition section. The key words were generated by word cloud technique using text-mining, and the portion of Food and Nutrition section was presented as a ratio of the pages. The core key words of Food and Nutrition section through the curriculums were 'raw food'·'food'·'diet'. In 1^st and 2^nd curriculums, the main key words were related to food materials, condiments and nutrients such as 'vitamin'·'protein'. The words such as 'nutrition'·'eating'·'requirement' were newly appeared in 3^rd, 'portion' in 6^th, and 'diet'·'adolescence' in 7^th curriculum. The mean ratio of Food and Nutrition section in Home Economics was 24.3%. While the portion was as high as 31.8% in 7th it was strikingly reduced to 15.2% in 2009^th. curriculum. Besides, Food and Nutrition section was composed of 10 units of middle level category during the 2^nd and 3^rd curriculums, and was reduced to 2 small units with none of middle level category in 2009^th curriculum. Although the contents of Food and Nutrition section has been developed and adapted to the needs of the society through the curriculums, the portion of Food and Nutrition section in Home Economics has been reduced especially in 2009^th curriculum, which could raise concerns on the health of individuals and communities.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.389-397
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• 2017

Recently semantic web document is produced and added in repository in a cloud computing environment and requires an intelligent semantic agent for analytical classification of documents and information retrieval. The traditional methods of information retrieval uses keyword for query and delivers a document list returned by the search. Users carry a heavy workload for examination of contents because a former method of the information retrieval don't provide a lot of semantic similarity information. To solve these problems, we suggest a key word frequency and concept matching based semantic clustering model using hadoop and NoSQL to improve classification accuracy of the similarity. Implementation of our suggested technique in a cloud computing environment offers the ability to classify and discover similar document with improved accuracy of the classification. This suggested model is expected to be use in the semantic web retrieval system construction that can make it more flexible in retrieving proper document.

• The Journal of Korean Association of Computer Education
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• v.7 no.5
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• pp.83-91
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• 2004

Through this research, it was possible to set up classification system between 'Harmful information site' and 'General site' that badly effect to teenagers emotional health. To intercept those entire harmful information sites, it using contents basis isolating. Instead of using existing methods, it picks most frequent using composed key words and adds all those harmful words' harmfulness degree point by using 'ICEC(Information Communication Ethics Committee)' suggested harmful word classification. To testify harmful information blocking system, to classify the harmful information site, set standard harmfulness degree point as 3.5 by the result of a fore study, after that pick up a hundred of each 'Harmful information site' and 'General site' randomly to classify them through new classification system. By this classification could found this new classification system classified 78% of 'Harmful Site' to "Harmful information site' and 96% of 'General Site' to 'General site'. As a result, successfully confirm validity of this new classification system.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.107-111
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• 2005

As Internet grows rapidly and next electronic commerce applications increase, the security is getting more important. Information security to provide secure and reliable information transfer is based on cryptography technique. The proposed ISEED(Improved SEED) algorithm based on block cryptography algorithm which belongs to secret-key algorithm. In terms of efficiency, the round key generation algorithm has been proposed to reduces the time required in encryption and decryption. The algorithm has been implemented as follow. 128-bit key is divided into two 64-bit group to rotate each of them 8-bit on the left side and right side, and then basic arithmetic operation and G function have been applied to 4-word outputs. In the process of converting encryption key which is required in decryption and encryption of key generation algorithm into sub key type, the conversion algorithm is analyzed. As a result, the time consumed to encryption and decryption is reduced by minimizing the number of plain text required differential analysis.