• 프린팅코리아
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• s.64
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• pp.138-138
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• 2007

• KLA journal
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• v.50 no.2
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• pp.61-77
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• 2009

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.2
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• pp.207-219
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• 2016

This study was performed to investigate shopping behavior of Chinese, Japanese, and US tourists in Korea. For this purpose, travel activities and shopping items were identified first. And thereafter the shopping satisfaction, travel satisfaction, intention to word-of-mouth, and intention to re-visit were compared by country, gender and age. Finally, the effect of shopping satisfaction on travel evaluations as well as the effect of demographics on shopping satisfaction were examined. Secondary data were used for this survey, while ${\chi}^2$ test, t-test, ANOVA, Duncan test and regression analysis were applied to analyze data. The results were listed below. First, main travel activities were shopping, followed by enjoying natural scenery and visiting historic sites. Apparel, cosmetics, leather goods, and shoes were major shopping products. Chinese and Japanese tourists preferred cosmetics and apparel most, while US travellers bought lots of apparel and shoes. Men and older tourists tended to buy food products more than women and younger people did. Second, degree of shopping satisfaction significantly differed by country and age. The US tourists showed highest satisfaction, followed by Japanese and Chinese ones. Younger people tended to be satisfied more than older people significantly. In terms of travel satisfaction and intention for word-of-mouth, the US tourists, women, and younger people revealed higher scores than the other counterparts. Intention to re-visit Korea were significantly different, based on country and gender, showing higher for the US people and women. Third, shopping satisfaction was found to affect travel satisfaction, intention for word-of- mouth, and intention to revisit Korea significantly. In turn, travel satisfaction was also shown significantly to affect on intention for word-of-mouth, and intention to re-visit Korea.

• Journal of KIISE:Software and Applications
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• v.36 no.10
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• pp.861-873
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• 2009

There are many reasons that fail to get appropriate information in information retrieval. Allomorph is one of the reasons for search failure due to keyword mismatch. This research proposes a method to construct alternative word candidates automatically in order to minimize search failure due to keyword mismatch. Assuming that two words have similar meaning if they have similar co-occurrence words, the proposed method uses the concept of concentration, association word set, cosine similarity between association word sets and a filtering technique using confidence. Performance of the proposed method is evaluated using a manually extracted alternative list. Evaluation results show that the proposed method outperforms the context window overlapping in precision and recall.

• The Journal of the Korea Contents Association
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• v.14 no.12
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• pp.1083-1099
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• 2014

The purpose of this study is to analyze that The arithmetic and algebraic word problem solving skill, strategy preference, and assessment ability of elementary preservice teachers is investigated using a statistical methodology. The research findings are as follows. First, elementary preservice teachers demonstrated logical and delicate problem solving behaviors in arithmetic and algebraic word problem solving. And elementary preservice teachers prefer to create a formula and table strategy in problem solving of the arithmetic question. Second, there was meaningful difference in the math and english elementary preservice teachers' appreciations with significant level of 0.05. And there was not meaningful difference in the 1 and 4 grade elementary preservice teachers' appreciations with significant level of ${\alpha}=0.05$. Results of the study suggest that teachers education course need to improve elementary preservice teachers' word problem solving skill, strategy preference, and assessment ability in the arithmetic and algebraic.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.181-194
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• 2019

The purpose of this study is to investigate the effect of physical environment of Japanese restaurant on customer satisfaction, revisit intention and word of mouth intention. For this purpose, data were collected from 341 adult males and females who had used Japanese restaurants in Daegu. SPSS program frequency analysis, factor analysis, regression analysis and multiple regression analysis were used for data analysis. Through the factor analysis, the physical environment of the Japanese specialty restaurant was identified as a component of comfort, aesthetics, and convenience. As a result of the multiple regression analysis, the three components of the physical environment have positive effects on customer satisfaction, return visit intention, and word of mouth intention. The results of regression analysis showed that customer satisfaction had a positive effect on revisit and word of mouth intention. Through the results of this study, we confirmed the physical and environmental impacts of the specialty restaurants and suggested the practical and theoretical implications.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.3
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• pp.109-119
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• 2019

The purpose of this study is to examine fashion trends and the direction of the four fashion collections by analyzing the design key-words of the four major international fashion collections in 2018. The data of this study was collected by extracting the key-words from Marie Claire Korea in 2018, with the total of the collected data numbering 2,144. The data was analyzed by text mining using the R program and word-cloud, and a co-occurrence network analysis was conducted. The results of this study are as follows: First, the key-words of fashion collection designs in 2018 were fringe and ruffle detail, silk and denim fabric, vivid color, stripe and check pattern, pants suit item, and oversized silhouette, focusing on romanticism and sport. Second, seasonal characteristics of the fashion collections were pastel colors in S/S, primary and vivid colors in F/W. Details were embroidery and cutouts in S/S, patchwork and fringe in F/W. Third, the design trends of the four major fashion collections were presented in the Paris collection: stripes, check patterns, embroidery, lace, tailoring, draping, romanticism, and glamor. In the Milan collection, checks, prints, denim, and minidresses reflected sport and romanticism. The London collection included fringe, ruffles, floral patterns, flower patterns, and romanticism. The New York collections included vivid colors, neon colors, pastel colors, oversize silhouettes, bodysuits, and long dresses.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.132-139
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• 2021

This corpus-driven research expounded the compilation of the most frequently occurring academic words in the domain of syntax and compared the extracted wordlist with Academic Word List(AWL) of Coxhead(2000) and General Service List(GSL) of West(1953) to examine their distribution and coverage within the syntax corpus. A specialized 546,074 token corpus, composed of widely used must-read syntax textbooks for English education majors, was loaded into and analyzed with AntWordProfiler 1.4.1. Under the parameter of lexical frequency, the analysis identified 288(50.5%) AWL word forms, appeared 16 times or more, as well as 218(38.2%) AWL items, occurred not exceeding 15 times. The analysis also indicated that the coverage of AWL and GSL accounted for 9.19% and 78.92% respectively and the combination of GSL and AWL amounted to 88.11% of all tokens. Given that AWL can be instrumental in serving broad disciplinary needs, this study highlighted the necessity to compile the domain-specific AWL as a lexical repertoire to promote academic literacy and competence.

• Journal of the Korean Professional Engineers Association
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• v.30 no.5
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• pp.42-55
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• 1997

• Journal of Advanced Navigation Technology
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• v.20 no.6
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• pp.617-624
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• 2016

The hangul word embedding should be performed certainly process for noun extraction. Otherwise, it should be trained words that are not necessary, and it can not be derived efficient embedding results. In this paper, we propose model that can retrieve more efficiently by query language expansion using hangul word embedded, apriori, and text mining. The word embedding and apriori is a step expanding query language by extracting association words according to meaning and context for query language. The hangul text mining is a step of extracting similar answer and responding to the user using noun extraction, TF-IDF, and cosine similarity. The proposed model can improve accuracy of answer by learning the answer of specific domain and expanding high correlation query language. As future research, it needs to extract more correlation query language by analysis of user queries stored in database.