• Title/Summary/Keyword: trend

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An Analysis of the Female Golfers′ Preference of the Recent Sportswear Trend and a Suggestion of a Direction for Golfwear Design (최근 스포츠웨어 트렌드에 대한 소비자 선호도 분석과 이에 기초한 골프웨어 디자인 방향의 제시 -국내 20~30대 여성 골퍼를 대상으로-)

  • 이지은;이주현
    • Journal of the Korean Society of Clothing and Textiles
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    • v.26 no.8
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    • pp.1254-1264
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    • 2002
  • The purpose of this study was to suggest a direction for golfwear design targeting young female golfers, based on the analysis of their preference of recent sportswear trend. Total 197 respondents, female golfers, were sampled for data gathering, who were asked to answer to the self-report questionnaire with the stimuli of five trendy golfwear styles [i.e., representing recent sportswear trend]. In summary, the results of this study were as follows: 1) The female golfers showed significant difference in their preference of recent sportswear-trend sues, according to their age or marital status. 2) Among the five trendy styles, each of which corresponded to five themes in 2002 S/S sportswear trend, the style of "Retro Chic", a type of retrospective trend theme, was most favored. 3) The female golfers in their twenties residing in Kangnam, were found to have ① relatively higher fashion leadership, and ② higher preference of maximal and kitsch trends, when compared with the rest of the respondents. 4) The most influential design elements in each trendy style, dominating the golfers' preference, varied with the feature of trend themes. 5) Based on the analysis of the young female golfers′ preferences of recent sportswear trend, a direction for golfwear design were suggested.

Trend analysis of aridity index for southeast of Korea

  • Ghafouri-Azar, Mona;Bae, Deg-Hyo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.193-193
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    • 2017
  • Trend analysis can enhance our knowledge of the dominant processes in the area and contribute to the analysis of future climate projections. The results of previous studies in South Korea showed that southeast regions of Korea had the highest value of evapotranspiration. Thereby, it is of interest to determine the trend analysis in hydrological variables in this area. In this study, the recent 35 year trends of precipitation, reference evapotranspiration, and aridity index in monthly and annual time scale will be analyzed over three stations (Pohang, Daegu, and Pusan) of southeast Korea. After removing the significant Lag-1 serial correlation effect by pre-whitening, non-parametric statistical Mann-Kendall test was used to detect the trends. Also, the slope of trend of the Mann-Kendall test was determined by using Theil-Sen's estimator. The results of the trend analysis of reference evapotranspiration on the annual scale showed the increasing trend for the three mentioned stations, with significant increasing trend for Pusan station. The results obtained from this research can guide development if water management practices and cropping systems in the area that rely on this weather stations. The approaches use and the models fitted in this study can serve as a demonstration of how a time series trend can be analyzed.

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Material as a Key Element of Fashion Trend in 2010~2019 - Text Mining Analysis - (패션 트렌트(2010~2019)의 주요 요소로서 소재 - 텍스트마이닝을 통한 분석 -)

  • Jang, Namkyung;Kim, Min-Jeong
    • 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.

Impact of Trend Estimates on Predictive Performance in Model Evaluation for Spatial Downscaling of Satellite-based Precipitation Data

  • Kim, Yeseul;Park, No-Wook
    • Korean Journal of Remote Sensing
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    • v.33 no.1
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    • pp.25-35
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    • 2017
  • Spatial downscaling with fine resolution auxiliary variables has been widely applied to predict precipitation at fine resolution from coarse resolution satellite-based precipitation products. The spatial downscaling framework is usually based on the decomposition of precipitation values into trend and residual components. The fine resolution auxiliary variables contribute to the estimation of the trend components. The main focus of this study is on quantitative analysis of impacts of trend component estimates on predictive performance in spatial downscaling. Two regression models were considered to estimate the trend components: multiple linear regression (MLR) and geographically weighted regression (GWR). After estimating the trend components using the two models,residual components were predicted at fine resolution grids using area-to-point kriging. Finally, the sum of the trend and residual components were considered as downscaling results. From the downscaling experiments with time-series Tropical Rainfall Measuring Mission (TRMM) 3B43 precipitation data, MLR-based downscaling showed the similar or even better predictive performance, compared with GWR-based downscaling with very high explanatory power. Despite very high explanatory power of GWR, the relationships quantified from TRMM precipitation data with errors and the auxiliary variables at coarse resolution may exaggerate the errors in the trend components at fine resolution. As a result, the errors attached to the trend estimates greatly affected the predictive performance. These results indicate that any regression model with high explanatory power does not always improve predictive performance due to intrinsic errors of the input coarse resolution data. Thus, it is suggested that the explanatory power of trend estimation models alone cannot be always used for the selection of an optimal model in spatial downscaling with fine resolution auxiliary variables.

Trends of Upper Jet Streams Characteristics (Intensity, Altitude, Latitude and Longitude) Over the Asia-North Pacific Region Based on Four Reanalysis Datasets (재분석자료들을 활용한 아시아-북태평양 상층제트의 강도(풍속) 및 3차원적 위치 변화 경향)

  • So, Eun-Mi;Suh, Myoung-Seok
    • Atmosphere
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    • v.27 no.1
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    • pp.1-16
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    • 2017
  • In this study, trends of upper jet stream characteristics (intensity, altitude, latitude, and longitude) over the Asia-North Pacific region during the recent 30 (1979~2008) years were analyzed by using four reanalysis datasets (CFSR, ERA-Int., JRA-55, MERRA). We defined the characteristics of upper jet stream as the averages of mass weighted wind speed, mass-flux weighted altitude, latitude and longitude between 400 and 100 hPa. Due to the vertical averaging of jet stream characteristics, our results reveal a weaker spatial variabilities and trends than previous studies. In general, the four reanalysis datasets show similar jet stream properties (intensity, altitude, latitude and longitude) although the magnitude and trends are slightly different among the reanalysis datasets. The altitude of MERRA is slightly higher than that of others for all seasons. The domain averaged intensity shows a weakening trend except for winter and the altitude of jet stream shows an increasing trend for all seasons. Also, the meridional trend of jet core shows a poleward trend for all seasons but it shows a contrasting trend, poleward trend in the continental area but equatorward trend in the Western Pacific region during summer. The zonal trend of jet core is very weak but a relatively strong westward trend in jet core except for spring and winter. The trends of jet stream characteristics found in this study are thermodynamically consistent with the global warming trends observed in the Asia-Pacific region.

A Comparison of Construction Cycle Trend Survey and Construction Business Survey Index (건설경기동향조사와 건설기업경기실사지수의 비교연구)

  • Lee, Dongyoun;Kang, Goune;Lee, Ung-Kyun;Cho, Hunhee;Kang, Kyung-In
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2015.11a
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    • pp.192-193
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    • 2015
  • Construction Cycle Trend Survey, which survey total value of orders and realized amounts monthly, is a valuable statistics that used to quick grasp or forecast the trend of domestic construction business. In recent periodical survey quality diagnoses, few professional users named a problem that Construction Cycle Trend Survey could not get together with the current state of the construction industry. This study examined weather Construction Cycle Trend Survey reflects the economic sentiment of construction business or not. Paired t test was performed between Construction Cycle Trend Survey and Construction Business Survey Index (CBSI), and significant differences were verified.

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Long-Term Trend Analyses of Water Qualities in Mangyung Watershed (비모수 통계기법을 이용한 만경강 유역의 장기간 수질 경향 분석)

  • Lee, Hye Won;Park, Seoksoon
    • Journal of Korean Society on Water Environment
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    • v.24 no.4
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    • pp.480-487
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    • 2008
  • Spatial and temporal analyses of water qualities were performed for 11 monitoring stations located in Mangyung watershed in order to analyze the trends of monthly water quality data of Biochemical Oxygen Demand (BOD), Total Nitrogen (TN) and Total Phosphorus (TP) measured from 1995 to 2004. The long-term trends were analyzed utilizing Seasonal Mann-Kendall test, LOWESS and three-dimensional graphs were constructed with respect to distance and time. The graph can visualize spatial and temporal trend of the long-term water quality in a large river system. The results of trend analysis indicated that water quality of BOD and TN showed the downward trend. This quantitive and quantitative analysis is the useful tool to analyze and display the long-term trend of water quality in a large river system.

A Study of Romantic Image Expressed in the ′00­′01 Fashion Trend (′00­′01 Fashion Trend에 나타난 Romantic Image에 관한 연구)

  • 정미혜
    • Journal of the Korea Fashion and Costume Design Association
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    • v.2 no.2
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    • pp.41-54
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    • 2000
  • History of fashion and clothing is needed to understand modern fashion and to predict Future mode. The period of Romanticism in fine arts was from the end 18th century up to the first half of 19th century. The characteristics of shilouttes were found in the emphasis owomen's body line. This feature of romantic fashion is founded in 1960, 1970, 1980, 1990'mode. Major characters of this times are retro of romantic costume. As time goes by, more romantic fashion was set up and new corncern of 2000 fashion trend. The Characteristics of romantic image in 2000 of fashion trend are the emphasis of romantic details and decorations. Such as ruffle, frill, shirring, beads, spangle, sequin, flower. Trend colors are pink, lilac, aqua blue, yellow, green, pastel color. Trend materials chiffon, organza, satin, velvet, gauze, georgette, lace and glittery material. And floral print and stripe print. Forward­looking fashion is ethnic­romantic image influenced India. Trend and fashion have very close relationship and if it is fully comprehended, it will be good opportunity to awkardness againnst new fashion line.

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Study of Cyber Fashion Concept-After 1994 Fashion Trend- (우리나라 사이버 패션에 대한 연구-1994년 이후에 나타난 트랜드 중에서-)

  • Lee, Eun-Young;Lee, Jong-Lyun;Hong, Youn-Teck
    • The Journal of Natural Sciences
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    • v.11 no.1
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    • pp.173-193
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    • 1999
  • After 94' Fashion Trend presented interaction of variety factors. It is based on continuous imagination that si caused development of science. Cyber fashion trend in these days trend. Among modern trend. We find clothing beauty in contemporary fashion trend. There are many expressions about interaction of dualistic factors and constructive cutting and application of foundation.

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A Multi-Sensor Fire Detection Method based on Trend Predictive BiLSTM Networks

  • Gyu-Li Kim;Seong-Jun Ro;Kwangjae Lee
    • Journal of Sensor Science and Technology
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    • v.33 no.5
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    • pp.248-254
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    • 2024
  • Artificial intelligence techniques have improved fire-detection methods; however, false alarms still occur. Conventional methods detect fires using current sensors, which can lead to detection errors due to temporary environmental changes or noise. Thus, fire-detection methods must include a trend analysis of past information. We propose a deep-learning-based fire detection method using multi-sensor data and Kendall's tau. The proposed system used a BiLSTM model to predict fires using pre-processed multi-sensor data and extracted trend information. Kendall's tau indicates the trend of a time-series data as a score; therefore, it is easy to obtain a target pattern. The experimental results showed that the proposed system with trend values recorded an accuracy of 99.93% for BiLSTM and GRU models in a 20-tap moving average filter and 40% fire threshold. Thus, the proposed trend approach is more accurate than that of conventional approaches.