• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.2 s.161
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• pp.217-224
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• 2007

This paper investigated spring/summer fabric trends of women's and analyzed the correlation between the fabric trends and finishing for 10 years (1995 S/S-2004 S/S). Fabric trend terms were selected from 5 fashion journals and were grouped by hierarchical cluster analysis using SPSS 12.0 statistical package. Also, finishing terms were selected and analyzed by frequency. The results showed that 13 representative fabric trend terms were clean, functional, lustrous, compact, rubbery, comfortable, chic, romantic, decorative, natural, fluid, textured, and ethnic trend. In terms of fabric finishing, 12 representative finishing were selected such as coating, calendaring, wrinkle finishing, decorative finishing, quilting, and washing. Finally, in respect of the analysis of fabric trends and finishing, washing and embroidery were used to represent ethnic trends and textured fabric was closely correlated wrinkle and decorative finishing. Fluid fabrics were expressed via wrinkle and coating and washing and wrinkle were used for natural feeling. Decorative fabric was expressed by embroidery and coating and decorative finishing were frequently used to show romantic and chic fabric. Also comfortable fabrics were correlated with easy care and rubbery, compact, lustrous, and clean fabrics were correlated with coating.

• Fashion & Textile Research Journal
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• v.22 no.5
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• pp.551-560
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• 2020

Due to the nature of fashion design that responds quickly and sensitively to changes, accurate forecasting for upcoming fashion trends is an important factor in the performance of fashion product planning. This study analyzed the major phenomena of fashion trends by introducing text mining and a big data analysis method. The research questions were as follows. What is the key term of the 2010SS~2019FW fashion trend? What are the terms that are highly relevant to the key trend term by year? Which terms relevant to the key trend term has shown high frequency in news articles during the same period? Data were collected through the 2010SS~2019FW Pre-Trend data from the leading trend information company in Korea and 45,038 articles searched by "fashion+material" from the News Big Data System. Frequency, correlation coefficient, coefficient of variation and mapping were performed using R-3.5.1. Results showed that the fashion trend information were reflected in the consumer market. The term with the highest frequency in 2010SS~2019FW fashion trend information was material. In trend information, the terms most relevant to material were comfort, compact, look, casual, blend, functional, cotton, processing, metal and functional by year. In the news article, functional, comfort, sports, leather, casual, eco-friendly, classic, padding, culture, and high-quality showed the high frequency. Functional was the only fashion material term derived every year for 10 years. This study helps expand the scope and methods of fashion design research as well as improves the information analysis and forecasting capabilities of the fashion industry.

• Journal of the Korean Society for Library and Information Science
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• v.45 no.2
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• pp.393-413
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• 2011

The collections of university libraries such as books in academic disciplines and dissertations are much used to support education of students and research activities of faculty members. Most of such materials naturally contain unique terms frequently and exclusively used in specific academic disciplines. Therefore, it is possible to infer the latest research trend in or correlations among various disciplines by analyzing those terms. In this study, the trend was analyzed by extracting technical terms from the metatadata for collections in the field of computer science of two university libraries in Korea. By comparing these terms with the trend of terms which appeared in dissertations and domestic scholarly articles, the relation between collections of university libraries and research trend in this particular academic field was analyzed.

• Korean journal of communication and information
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• v.78
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• pp.141-176
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• 2016

This study investigates changes of market structure from 2001 to 2015 in the Korean daily newspaper industry using concentration and mobility measures. The main empirical results are as follows. First, the industry's total asset shows a U-shaped trend, despite the downward trend of the industry's total sales revenue. Second, the market concentration, measured in terms of assets, shows the trend of an inverted-U shape. The relatively small firms, measured in terms of assets, have on average gained in market share while the relatively large firm have lost. Third, market concentration, measured in terms of sales revenues, shows a U-shaped trend. the relatively small firms, measured in terms of sales revenues, have on average gained in market share while the relatively large firm have lost. My central argument has been that it is desirable to supplement traditional concentration measures with mobility statistics and trend analyses in investigating and regulating market structure.

• Communications for Statistical Applications and Methods
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• v.29 no.1
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• pp.41-51
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• 2022

We forecast the US oil consumption level taking advantage of google trends. The google trends are the search volumes of the specific search terms that people search on google. We focus on whether proper selection of google trend terms leads to an improvement in forecast performance for oil consumption. As the forecast models, we consider the least absolute shrinkage and selection operator (LASSO) regression and the structured regularization method for large vector autoregressive (VAR-L) model of Nicholson et al. (2017), which select automatically the google trend terms and the lags of the predictors. An out-of-sample forecast comparison reveals that reducing the high dimensional google trend data set to a low-dimensional data set by the LASSO and the VAR-L models produces better forecast performance for oil consumption compared to the frequently-used forecast models such as the autoregressive model, the autoregressive distributed lag model and the vector error correction model.

• Journal of Fashion Business
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• v.6 no.2
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• pp.110-123
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• 2002

This study investigated the influence of cultural and general trend of the times on fashion trends and the hybridization of these trends. The objectives of this study were to suggest new approach method of the fashion forecasting and to find out the cultural meanings and values of fashion. Key words that explains fashion trend from spring/summer of 1995 to fall/winter of 2002 were collected from professional fashion trend journals. These terms were analysed with domain analysis based on the semantic relationship. The frequency of their appearance in each season and the aspect of their appearance in each season were analysed. The hybrids of the fashion trends were analysed longitudinally and cross-sectionally as well by investigating the cover terms that were found as a result of domain analysis. The method used in this study can be applied to future study of fashion trend in that it offers an objective view of fashion trend and can allow researchers to study fashion trend in a concrete way.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1110-1116
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• 2015

This paper analyzes global research trend on information security. All technical fields based on information requires security so that discovering technologies (technical terms) which are developing newly or dramatically is able to guide the future direction of the field of information security. In this paper, the ultimate of this research is to figure out the technologies related to information security and to forecast the future through understanding their trends. The paper, as a beginning for the analysis on macroscopic viewpoint, contains measurement of yearly relatedness between technical terms from 2001 to 2014 by using temporal co-occurrence and interpretation of its meaning through comparing the relatedness with trends of top-related technical terms. And to conclude, we could find that Android platform, Big data, Internet of things, Mobile technologies, and Cloud computing are emerging technologies on information security.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.493-500
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• 2011

The trends of technical terms express the changes of particular subjects in a specific research field over time. However, the amount of academic literature and patent data is too large to be analyzed by human resources. In this paper, we propose a method that can detect and analyze the trends of terms by modeling the life cycle of the terms. The proposed method is composed of the following steps. First, the technical terms are extracted from academic literature data, and the TDVs(Term Dominance Values) of terms are computed on a periodic basis. Based on the TDVs, the life cycles of terms are modeled, and technical terms with similar temporal patterns of the life cycles are classified into the same trends class. The experiments shown in this paper is performed by exploiting the NDSL academic literature data maintained by KISTI.

• Journal of Applied Reliability
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• v.3 no.1
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• pp.83-92
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• 2003

We studied the trend change of failure rate function and uncertainty of residual life function in terms of location of their trend change points. It is shown that the trend change of uncertainty of residual life takes place before the failure rate changes its trend. Like DIFR(IDFR) does not necessary implies IDMRL(DIMRL), we find the fact that DIFR(IDFR) does not always imply IDURL(DIURL) under certain conditions, through the exponentiated-weibull distribution.

• Journal of Fashion Business
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• v.2 no.4
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• pp.21-27
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• 1998

This study is regards to merchandising in terms of paradigm shift on marketing and cost reduction. All research was done to trace the change of customer's purchasing trend taking examples through two of major women fashion brand, Katharine Hamnett and Cynthia Rowley since Korea has been in IMF controlling. The conclusion is as following; 1. After IMF controlling, young character casual and middle-low priced unisex mode have mainly been in '98 fashion trend. On item terms, cross coordination with reasonable prices was formed as main stream. 2. Shortened production lead-time made it possible to reduce its cost. Also new types of fashion business has been introduced to customers. 3. Speedy action are more emphasized through the benefits of simplified marketing channel and shortened payment terms. 4. It used to be a typical style to enjoy the high margin with an famous overseas brand paying license fee. Currently, the trend is extended to re-export to overseas for the licensed OEM goods.