• Journal of Korea Society of Industrial Information Systems
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• v.13 no.4
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• pp.98-107
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• 2008

As the information and communications market goes more uncertain, foresight activities becomes more important. A number of foresight activities, such as trend analysis, have been used to predict customer needs. However previous studies tend to lack objectivity and systematization. In this study, we suggest a meta analysis methodology which combines both top-down and bottom-up approach in order to systematize the analysis process. Secondly, we applied this approach to ICT market to identify essential future technologies. Based on the result from the meta analysis, we have constructed the future technology roadmap.

• Communications for Statistical Applications and Methods
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• v.7 no.2
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• pp.513-523
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• 2000

The X-12-ARIMA program was utilized on the analysis of the time series trend on 76 Korean industrial activities data in order to ensure that the trading day effect adjustment as well as the seasonal effect adjustment is needed to extract the fundamental trend-cycle factors from various economic time series data. The trading day effect is strongly correlated with the activity of production and shipping but not with the activity of inventory. Furthermore, the industrial activities were classified with respect to the sensitivity on the tranding day effect.

• KIEAE Journal
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• v.12 no.1
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• pp.21-27
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• 2012

This study aims at finding the trend changes of spatial configuration in housing units of Korean apartments in the 2000s. Among the housing units in the apartments built by large construction companies, we have selected ones with small and regular sizes, $59m^2$ and $84m^2$ respectively, and investigated the number of bays, the location of wet zone and the spatial flexibility in the housing units selected for analysis. In conclusion, the number of bays in the housing unit has gradually increased, after allowing for the structural change of the balcony in the legal. It is estimated that the trend has came from the intent to increase the numbers of the externally exposed surfaces of the balcony, ensure a good view, lighting, ventilation and spatial flexibility. The location of wet zone, water-needed space such as a bathroom or a kitchen, has changed in the direction to facilitate the expansion and modification of space. Variable range of space has gradually expanded by using the balcony and wet zone as much as possible. In order to configure more effectively spaces in housing environments, the future study should be implemented to develop tools for realizing sustainable housing environment at the levels of not only the housing unit. but also the entire building, housing site, and city.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.104-112
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• 2008

As the information and communications market goes more uncertain, foresight activities becomes more important. A number of foresight activities, such as trend analysis, have been used to predict customer needs. However previous studies tend to lack objectivity and systematization. In this study, we suggest a meta analysis methodology which combines both top-down and bottom-up approach in order to systematize the analysis process. Secondly, we applied this approach to ICT market to identify essential future technologies. Based on the result from the meta analysis, we have constructed the future technology roadmap.

• The Research Journal of the Costume Culture
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• v.22 no.3
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• pp.481-502
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• 2014

This study intended to identify the relationship between textile print designs for local apparel, and fashion trends. This was achieved by extracting trend key words and analyzing apparel textiles. The fashion trends and print trends from the 2010S/S season to the 2013F/W season as projected by two trend forecasters, the Samsung Fashion Institute and First View Korea, were extracted for a comparative analysis. In terms of clothing patterns, a total of 1,582 print designs purchased by local apparel brands targeting women in their 20s and 30s from print design companies including Italy's NEWAGE, MyDesign and England's Pattern, were analyzed. After classifying the designs according to the trend key words which had been extracted, the demands by season, trend dependency, and design preferences were analyzed to produce the following results. The major key words for textile print designs from the 2010S/S season to the 2013F/W season were Check & Stripe, Flower, Geometric, Natural, Ethnic, and Graphical. Patterns corresponding to those design key words were more prominent in recent designs. Considering the trends by season, the designs presented in the F/W season were found to be more likely to correspond to the trend key words than those in the S/S season. A general preference for nature-inspired designs was also found in the local print market.

• Health Policy and Management
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• v.30 no.1
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• pp.126-130
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• 2020

Catastrophic health expenditure refers to measure the level of the economic burden of households due to medical expenses. The purpose of this study was to examine the proportion of households that experienced catastrophic health expenditure between 2006 and 2018 using available data from the National Survey of Tax and Benefit (NaSTaB), Korea Health Panel (KHP), and Households Income and Expenditure Survey (HIES). Trend test was used to analyze the proportion of household with catastrophic healthcare expenditure. The households experienced the catastrophic health expenditure 2.08% in 2018 using the NaSTaB data. Trend analysis was significant with the decreasing trend (Annual Percentage Change [APC], -4.88; p<0.0001) in the proportion of households with the catastrophic health expenditure. On the other hand, the results of the HIES showed 2.92%, and KHP showed 2.48% of households experienced the catastrophic health expenditure in 2016. The trend was significantly increased in HIES (APC, 1.43; p<0.0001) and KHP (APC, 6.68; p<0.0001). Therefore, this suggests that further interventions to alleviate the burden of catastrophic health expenditure to the low-income group are needed.

• Health Policy and Management
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• v.31 no.1
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• pp.140-144
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• 2021

Catastrophic health expenditure refers to measure the level of the economic burden of households due to medical expenses. The purpose of this study was to examine the proportion of households that experienced catastrophic health expenditure between 2006 and 2019 using available data from the National Survey of Tax and Benefit (NaSTaB), Korea Health Panel (KHP), and Households Income and Expenditure Survey (HIES). Trend test was used to analyze the proportion of households with catastrophic healthcare expenditure. The households experienced a catastrophic health expenditure of 2.44% in 2019 using the NaSTaB data. Trend analysis was significant with the decreasing trend (annual percentage change [APC], -4.49; p<0.0001) in the proportion of households with catastrophic health expenditure. Also, the results of the 2017 KHP and the 2016 HIES showed 2.20% and 2.92%. The trend was significantly increased in the KHP (APC, 1.79; p<0.0001) and the HIES (APC, 1.43; p<0.0001). Therefore, this study suggests that further public healthcare interventions to alleviate the burden of catastrophic health expenditure, especially for low-income households, are needed.

• 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.

• Journal of Korean Society on Water Environment
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• v.27 no.1
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• pp.120-128
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• 2011

Korea Groundwater Quality Monitoring Network is a database of annual groundwater quality survey results to prevent groundwater pollution. We estimated contamination index (CI) values for each type of land use, and analyzed temporal trends of pollutant concentration data in the Groundwater Quality Monitoring Network from 2001 to 2009. Among the pollutants considered in the database, the concentrations of nitrate and chloride were higher than their standards. In the case of nitrate, recreation parks, golf courses and general waste dumping regions showed increasing trends according to linear regression analysis, whereas industrial complexes and residential regions of urgan and recreation parks showed increasing trends in the chloride concentration data. According to multiple variable linear regression analysis, EC, pH and topography were major factors influencing CI values. These results suggest that groundwater with a high CI value and increasing trend is vulnerable for potential contamination, which requires more careful groundwater pollution control.

• Journal of Society of Preventive Korean Medicine
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• v.14 no.2
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• pp.105-120
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• 2010

Objectives : This study aims to evaluate the effects of expiration-to-inspiration time ratio (E/I-ratio) on heart rate, which represents cardiac autonomic function, and cold-heat in the healthy people. Methods : 49 healthy young volunteers(male : female = 32 : 17) were recruited in the study. The participants completed the questionnaire for yin-yang pattern identification and then we measured the chest plethysmogram for respiration signal and the electrocardiogram for NN intervals during different E/I-ratio from 1 to 2. We compared heart rate variability including RMS-SD, VLF, LF and HF, and the trend-cycle factors decomposed from NN interval data by time series analysis among the respective E/I-ratio. We also confirmed the difference on the trend-cycle factors according to the score of the questionnaire for cold and heat pattern identification. Results : There were differences on the trend-cycle factors from NN interval data, but no significant difference on heart rate variability, among the respective E/I-ratio. We also found significant relationship between the trend-cycle factors and the heat pattern identification scores. Conclusions : The results indicate that cardiac autonomic function can be modulated by the E/I-ratio and the modulation will be slower and more tendencious than respiratory sinus arrhythmia.