• International Journal of Advanced Culture Technology
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• v.4 no.3
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• pp.24-38
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• 2016

The purpose of our study is to analyze the effect of socio-economic status on the diet pattern of Korean adults. Raw data from the fifth (2010-2012) Korea National Health and Nutrition Examination Survey (KNHANES) were used, and finally 11,700 adults were analyzed as subjects. Results in consideration of the socio-economic status of the subjects, a linear trend was observed in men in which the odds ratio of having lunch (p for trend=0.006) and dinner (p for trend=0.0317) decreased as the level of education went down. In diet frequency, a decreasing trend (p for trend=0.0328) was observed in which the odds ratio of having 3 meals a day reduced as the household income lowered. For women, a linear trend (p for trend=0.0012) was observed in which the frequency of dinner decreased as the level of education became lower. A falling trend in the rate of having 3 meals a day was also observed (p for trend=0.0135). Our study analyzed the characteristics of the diet patterns of individuals according to their socio-economic status with the purpose of suggesting guidelines for correcting. To prevent this, we will need education and awareness and public attention for the practice of correct eating habits.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.963-986
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• 2022

This article surveys the fashion forecasting industry in Korean domestic markets. With the rise of new media and devices with high technology, the paradigm of fashion trends forecasting systems has dramatically changed. New perspectives of trend forecasting are required to understand the trend flow and consumer behavior of the MZ generation. The research questions are as follows: 1) Major trend forecasting companies studied the development of their strategies and new forecasting methods. 2) The consumers' needs in the domestic market were analyzed. The influence of the trend companies' forecasting on the market was investigated. The results are as follows: 1) International trend forecasting significantly affected the domestic market. The concordance rate between consumers' online searches about fashion trends was approximately 70.14%. The match rate by category is as follows: The highest rate, 85.06% is from pattern and print, color is 83.92%, the item is 80.39%, and style is 54.32%. 2) Specialized information such as the Pantone color chart is being widely consumed, leading to a trend among the masses. 3) The Korean-specific socio-cultural background has an impact on domestic trends.

• Bulletin of the Korean Space Science Society
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• 2004.10b
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• pp.235-238
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• 2004

In this paper, we will present the implementation method of telemetry trend analysis in KOMPSAT-2 (KOrea Multi Purpose SATellite II), and then we will show the test result of trend analysis with telemetry data. Trend Analysis function is one of the module of Satellite Operations Subsystem and that analyzes the telemetry data of satellite state of health and telemetry trend for operation support. With this system many clients can analyze telemetry data simultaneously.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.3
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• pp.111-121
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• 2004

The influence of the 'well-being' trend on the every day life of our society can be found by recent books, articles, and magazines. The purpose of this study is to analyze the well-being trend and its effect on the current knitwear fashion. The results of this study can be summarized as follows; (1) The 'well-being' trend is very different from the past life style and it will be a preceding life style in 21st century. (2) The preference for organic food and the promotion of 'colorful menu' came from the 'well-being' trend. And, the yoga, zen, meditation, aroma-therapy, spa, and massage are also under the influence of 'well-being' trend. (3) The Neo-Hippie look and Neo-Vintage look are connected with the 'well-being' trend. (4) The influences of 'well-being' trend on the current knitwear fashion are shown in the hand knitting (bulky knit & crochet), twin sets including cardigans, hand crafted details, natural colors, and natural materials.

• Journal of the Korea Fashion and Costume Design Association
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• v.10 no.1
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• pp.69-78
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• 2008

A new coinage which calls a modern was appeared variously by values, taste, feature of lifestyle and the meaning of a new coinage has influence in the change of lifestyle. Particularly a popular star is a person who situates in the center of a new coinage, his role, behavior, and appearance have great influence in the birth of a new coinage. He is a fashion leader as well as the object of fashion imitation to the new generation being sensitive for fashion. As his fashion is appeared with important fashion icon in fashion market, fashion companies have developed actively star marketing marking him as an advertising model. Therefore, because the fashion trends of a popular star introduce season's fashion trends and can be important factor forecasting fashion behavior of consumer, this study aims at analysis for fashion trends of a popular star including a public entertainer. The dates of this study were collected by TV drama, internet, and magazines, etc. The fashion trends were divided into feminine fashion trend, sexy fashion trend, tomboy fashion trend, and retro fashion trend. Feminine fashion trend was based on feminity but it was classified in masculine look, simple look, chic look, and natural & romantic look according to the standard of a transformation of feminine image. Sexy fashion trend was divided into two sexy images according to the method wrapping oneself in a dress and the method exposing a specific body part. Tomboy fashion trend could be the immature boyish style which concealed bust or hip or pelvis symbolizing feminity. Retro fashion trend could be style being based on 1980's style and Y line. Fashion items as leggings, baby doll dress, tunic style, dot pattern, garsonne look were come into fashion.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.237-245
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• 2017

Our research is aimed at predicting recent trend and leading technology for the future and providing optimal Nano technology trend information by analyzing Nano technology trend. Under recent global market situation, Users' needs and the technology to meet these needs are changing in real time. At this point, Nano technology also needs measures to reduce cost and enhance efficiency in order not to fall behind the times. Therefore, research like trend analysis which uses search data to satisfy both aspects is required. This research consists of four steps. We collect data and select keywords in step 1, detect trends based on frequency and create visualization in step 2, and perform analysis using data mining in step 3. This research can be used to look for changes of trend from three perspectives. This research conducted analysis on changes of trend in terms of major classification, Nano technology of 30's, and key words which consist of relevant Nano technology. Second, it is possible to provide real-time information. Trend analysis using search data can provide information depending on the continuously changing market situation due to the real-time information which search data includes. Third, through comparative analysis it is possible to establish a useful corporate policy and strategy by apprehending the trend of the United States which has relatively advanced Nano technology. Therefore, trend analysis using search data like this research can suggest proper direction of policy which respond to market change in a real time, can be used as reference material, and can help reduce cost.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.35-44
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• 2020

In this study, we analyze how stock trend determination affects trend prediction accuracy. In stock markets, successful investment requires accurate stock price trend prediction. Therefore, a volume of research has been conducted to improve the trend prediction accuracy. For example, information extracted from SNS (social networking service) and news articles by text mining algorithms is used to enhance the prediction accuracy. Moreover, various machine learning algorithms have been utilized. However, stock trend determination has not been properly analyzed, and conventionally used methods have been employed repeatedly. For this reason, we formulate the trend determination as a moving average-based procedure and analyze its impact on stock trend prediction accuracy. The analysis reveals that trend determination makes prediction accuracy vary as much as 47% and that prediction accuracy is proportional to and inversely proportional to reference window size and target window size, respectively.

• Journal of Soil and Groundwater Environment
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• v.14 no.5
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• pp.41-50
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• 2009

Water levels in groundwater monitoring wells of Jeju Island were analyzed using parametric and non-parametric trend analyses. Number of used monitoring wells in the analysis are 94 among totally 106 monitoring wells and the monitoring period is greater than single year, from 2001 to 2009. For the trend analysis, both parametric (linear regression) and nonparametric (Mann-Kendall trend test and Sen's trend test) methods were adopted. Results of the linear regression analysis on daily basis indicated that about 58.5% of the monitoring wells showed a decreasing trend, and analysis using monthly median indicated that about 79.8% showed a decreasing trend. The Mann-Kendall trend test and Sen's trend test with monthly median values in confidence levels of 95% and 99% showed the same analysis results. In confidence level of 95%, 32% were decreased, 3% were increased and the remains showed no trend. However, in confidence level of 99%, 16% were decreased, 2% were increased and the remains showed no trend. The largest decline rates of water levels were detected mainly at the coast of the northwestern and southwestern parts, which is expected to closely related to the increased pumping in the urban area and tourist resort.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.3
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• pp.233-241
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• 2020

We examined long-term variations in sea surface temperature (SST) and annual amplitudes of SST around the Korean Peninsula. Two SST data sets with data periods of approximately 51 years and longer than 100 years, respectively, were obtained from the National Institute of Fisheries Science and Japan Meteorological Agency. SST of Korean waters clearly increased during last 51 years (1968-2018), which was 2.5 times higher than the global trend. This significant increasing trend was caused by the dominant increasing SST trend during winter. However, a negative and positive SST anomaly frequently appeared during winter and summer, respectively, in a recent decade. These features of seasonal SST variation have changed the annual amplitude of SST, and resulted in a drastically increasing trend after 2009. Using the longer SST data set, it was revealed that the decreasing SST trend in winter began in the 2000s and the increasing SST trend in summer bagan in the 1990s. During a recent decade, there was a distinctive SST increase in summer, whereas a clear decrease in winter. In summary, the annual amplitude of SST around the Korean Peninsula significantly changed from a decreasing trend to an increasing trend during a recent decade.

• The Research Journal of the Costume Culture
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• v.18 no.3
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• pp.436-451
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• 2010

The purpose of this study is to come up with ways that cooperate between on-line game design and fashion design by analyzing trend color and on-line game character's costume color in on-line game. As for the research methodology, First, on-line games were selected with reference to www.ranky.com. Second, 2009 SS trend color palettes suggested by Copenhagen International Fashion Fair was used as a criterion of fashion trend. Third, on-line game character's costume colors were analyzed in relation to the degree of reflection of trend and the game character's type. The results are as follows. Each on-line game character costume's colors were made in accordance with typical character types. But we can find a one-to-one correspondence between fashion trend colors and game character costume's colors. That's because both trends and character types are the results of the continuing interactions between human-beings and societies. In comparison with fashion trend colors, game character costume colors are partly raw and inharmonious. Therefore, it is necessary to apply fashion trend color in game character costume design for enhancing competitiveness in the world market.