• Journal of the Korean earth science society
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• v.40 no.5
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• pp.487-501
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• 2019

In this study, steric height variability in the East Asian Seas (EAS) has been analyzed by using ocean reanalysis intercomparison project (ORA-IP) data. Results show that there are significant correlations between ocean reanalysis and satellite data except the phase of annual cycle and interannual signals of the Yellow Sea. Reanalysis ensemble derived from 15-different assimilation systems depicts higher correlation (0.706) than objective analysis ensemble (0.296) in the EAS. This correlation coefficient is also much higher than that of the global ocean (0.441). For the long-term variability of the thermosteric sea level during 1993-2010, a significant warming trend is found in the East/Japan Sea, while cooling trend is shown around the Kuroshio extension area. For the halosteric sea level, a dominant freshening trend is found in the EAS. However, below 300 m depth around this area, the signal-to-noise ratio of the linear trend is generally less than one, which is related to the low density of observation data.

• Convergence Security Journal
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• v.7 no.2
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• pp.49-55
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• 2007

Software failure time presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing. For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. From the subdivision of this analysis, new attemp needs the side of the quality control. In this paper, we discuss process capability analysis using process capability indexs. Because of software failure interval time is pattern of nonnegative value, instead of capability analysis of suppose to normal distribution, capability analysis of process distribution using to Box-Cox transformation is attermpted. The used software failure time data for capability analysis of process is SS3, the result of analysis listed on this chapter 4 and 5. The practical use is presented.

• Communications for Statistical Applications and Methods
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• v.12 no.1
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• pp.199-205
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• 2005

In general, simple correspondence analysis has handled mainly correspondence relations between the row and column categories but can not display the trends of their change over the time. For solving this problem, we will propose DSCA(Dynamic Simple Correspondence Analysis) of transition matrix data using supplementary categories in this study, Moreover, DSCA provides its trend of the change for the future by predicting and displaying trend toward the change from a standard point of time to the next.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.4
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• pp.109-117
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• 2010

The ultimate purpose of this study is to propose a method to improve water supply management efficiency which is one of the two main approaches to solve the water supply-related problems. As an effort, targeting commercial water, a series of efforts was performed such as choosing a field area, selecting a sensing point, installing a sensor and server systems, and monitoring the real time data. Through the analyses of the real time data gathered, a series of water consumption trend analysis models were developed for each day and for each month. And Also proposed are the related utilization of the developed trend analysis models and a GIS. As a result of the aforementioned research, the proposed trend analysis technique is expected to offer some important role for the water supply forecasting agministation and management.

• Journal of Creative Information Culture
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• v.6 no.1
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• pp.23-30
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• 2020

This study used the text mining method to analyze the research trend of the Journal of Creative Information Culture(JCIC) which is the journal of convergence. The existing research trend analysis method has a limitation in that the researcher's personality is reflected using the traditional content analysis method. In order to complement the limitations of existing research trend analysis, this study used topic modeling. The English abstract of the paper was analyzed from 2015 to 2019 of the JCIC. As a result, the word that appeared most in the JCIC was "education," and eight research topics were drawn. The derived subjects were analyzed by educational subject, educational evaluation, learner's competence, software education and maker culture, information education and computer education, future education, creativity, teaching and learning methods. This study is meaningful in that it analyzes the research trend of the JCIC using text mining.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2245-2254
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• 2013

A vulnerability index was developed for drought by using trend analysis and Delphi method. Twelve indicators were selected based on three groups, i.e., hydrological, meteorological, and humanistic groups. Data were collected from Nakdong river watershed. Three trend tests, i.e., Mann-Kendall, Hotelling-Pabst, and Sen's trend tests, were performed for standardizing the indicators and Delphi method was used to estimate the weights for individual indicators. The drought vulnerability index was calculated for seven regions in the Nakdong watershed and Hapcheon turned out to be the most vulnerable region among the study regions. The drought vulnerability index developed in this study can be applied to other regions in Korea for establishing national water resources management plan.

• Journal of Soil and Groundwater Environment
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• v.21 no.4
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• pp.30-41
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• 2016

The amount of groundwater related data is drastically increasing domestically from various sources since 2000. To justify the more expansive continuation of the data acquisition and to derive valuable implications from the data, continued employments of sophisticated and state-of-the-arts statistical tools in the analyses and predictions are important issue. In the present study, we employed a well established machine learning technique of Gaussian Process Regression (GPR) model in the trend analyses of groundwater level for the long-term change. The major benefit of GPR model is that the model provide not only the future predictions but also the associated uncertainty. In the study, the long-term predictions of groundwater level from the stations of National Groundwater Monitoring Network located within Han River Basin were exemplified as prediction cases based on the GPR model. In addition, a few types of groundwater change patterns were delineated (i.e., increasing, decreasing, and no trend) on the basis of the statistics acquired from GPR analyses. From the study, it was found that the majority of the monitoring stations has decreasing trend while small portion shows increasing or no trend. To further analyze the causes of the trend, the corresponding precipitation data were jointly analyzed by the same method (i.e., GPR). Based on the analyses, the major cause of decreasing trend of groundwater level is attributed to reduction of precipitation rate whereas a few of the stations show weak relationship between the pattern of groundwater level changes and precipitation.

• Journal of Fashion Business
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• v.5 no.4
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• pp.73-88
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• 2001

The purpose of this study was to analyze the consumers' acceptance of the new changes in fashion trend and to project the future possibility of them based on the result of the analysis. It was identified in the review of fashion trend that the major change in the recent fashion trend was the turning of focus from 'Minimalism-influenced' to 'Maximalism-influenced'. Total 176 of Korean women, who preferred 'Minimalism-influenced' or 'Maximalism-influenced' style, were sampled and asked to response on a self-report questionnaire with stimuli developed for this study. According to the respondents’ acceptance and preference of either one of the two streams, each respondent was allocated to one of the two groups which were named as 'Minimal-preference group' or 'Maximal-preference group'. The reasons of their preference, traits in trend-related attitude and demographic variables of both groups were analyzed and compared. The degree of clothing involvement and fashion leadership of Maximal-preference group, who accepted the new trend, were found to be significantly higher than those of Minimal-preference group. Maximal-preference group had significantly higher level of income and expenditure on fashion than Minimal-preference group. The motives and reasons for their acceptance of each stream were also analyzed.

• The Journal of Natural Sciences
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• v.17 no.1
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• pp.79-87
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• 2006

Now thus season trend, we can see the multi and digital trend. Specially it was very sensational in fur trend. Many designer showed very shocking and mixed design, silhouette is bulky and fusion short. The background are rise up of kidult, naturalism, techno casual sense, new avangarde. Now, fur is not the classic item anymore. It is necessary to change funny and trendy casual item.

• International Journal of Costume and Fashion
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• v.10 no.1
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• pp.29-45
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• 2010

In order to provide more systematic approach to analyze fabric trends and to develop fabrics accordingly, ecology fabric trend from 1986 to 2005 was analyzed related with fabric trend themes and fabric attributes. The result shows that in the 1980s, natural theme appeared, followed by primitive theme and imitated natural theme until the mid 1990s. From the late 1990s to the early 2000s, new natural theme appeared, followed by eco-friendly theme, and then recycling theme. In the natural theme, 'clean' was the most important fabric attribute and 'textured' and 'worn' were important fabric attributes in the primitive theme. In the imitated natural theme, 'wet' fabric attribute was preferred. In the new natural theme, 'lightweight' were preferred. The results of this study empirically demonstrated that abstract and ambiguous trend terms can be interpreted with a physical, substantial, and feasible attributes that fabric practitioners can easily understand.