• 한국실내디자인학회논문집
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• 제38호
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• pp.233-240
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• 2003

The purpose of this study was to find the coordination trend of the Image of the color and object from the department show-window display locating in the kangnam area. The result of this study were summarized as following: 1) Show window display determinating the first image of department-store marketing service, playing the role of visual marketing provides the valuable impressions with shoppers in the times of sensibility, 2) In contemporary recognition of "Design is namely culture", show window display proceeds on the direction of concrete and practical presentation of merchandise as many customers are pursuing the high graded luxury brands while their life styles change. 3) Main concept is represented by the coordinated fashion goods on the mannequin or the body and the main theme is displayed variously in the circumferential area or on the articles with the abstract and concrete objects of diverse forms of dominant color and accent color conveying the seasonal theme precisely. 4) The compositive element of color Is the decisive factor of the visual sense of space In the coordination-trends of show window display specially representing the seasonal theme or the intentional messages and conduces to the psychological and mental desire in human and the circumstances, 5) Following the color, the compositive element of object presents the concrete image of theme or the abstract and geometrical sense of space besides the visual sense of space and shows the proportionality and the activity in displaying the show window space.dow space.

• 한국안전학회지
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• 제29권2호
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• pp.76-81
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• 2014

Railroad traffic accident consists of train accident, level-crossing accident, traffic death and injury accident caused by train or vehicle, and it is showing a continuous downward trend over a long period of time. As a result of the frequency comparison of train accidents and level-crossing accidents using the railway accident statistics data of Railway Industry Information Center, the share of train accident is over 90% in the 1990s and 80% in the 2000s more than the one of level-crossing accidents. In this study, we investigated time series characteristic and short-term prediction of railroad crossing, as well as seasonal characteristic. The analysis data has been accumulated over the past 20 years by using the frequency data of level-crossing accident, and was used as a frequency data per month and year. As a result of the analysis, the frequency of accident has the characteristics of the seasonal occurrence, and it doesn't show the significant decreasing trend in a short-term.

• 융합경영연구
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• 제9권2호
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• pp.1-10
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• 2021

Purpose: In this work, we examine several time series models to predict internet and mobile transaction amount in South Korea, whereas Jeong (2020) has obtained the optimal forecasts for online shopping transaction amount by using time series models. Additionally, optimal forecasts based on the model considered can be calculated and applied to the Corona 19 situation. Research design, data, and methodology: The data are extracted from the online shopping trend survey of the National Statistical Office, and homogeneous and comparable in size based on 46 realizations sampled from January 2007 to October 2020. To achieve the goal of this work, both multiplicative ARIMA model and Holt-Winters Multiplicative seasonality method are taken into account. In addition, goodness-of-fit measures are used as crucial tools of the appropriate construction of forecasting model. Results: All of the optimal forecasts for the next 12 months for two online shopping transactions maintain a pattern in which the slope increases linearly and steadily with a fixed seasonal change that has been subjected to seasonal fluctuations. Conclusions: It can be confirmed that the mobile shopping transactions is much larger than the internet shopping transactions for the increase in trend and seasonality in the future.

• 대기
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• 제34권2호
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• pp.107-121
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• 2024

In this study, we empirically analyzed the impact of physical risks due to climate change on the soundness and operational performance of the financial industry by combining economics and climatology. Particularly, unlike previous studies, we employed the Seasonal-Trend decomposition using LOESS (STL) method to extract trends of climate-related risk variables and economic-financial variables, conducting a two-stage empirical analysis. In the first stage estimation, we found that the delinquency rate and the Bank for International Settlement (BIS) ratio of commercial banks have significant negative effects on the damage caused by natural disasters, frequency of heavy rainfall, average temperature, and number of typhoons. On the other hand, for insurance companies, the damage from natural disasters, frequency of heavy rainfall, frequency of heavy snowfall, and annual average temperature have significant negative effects on return on assets (ROA) and the risk-based capital ratio (RBC). In the second stage estimation, based on the first stage results, we predicted the soundness and operational performance indicators of commercial banks and insurance companies until 2035. According to the forecast results, the delinquency rate of commercial banks is expected to increase steadily until 2035 under assumption that recent years' trend continues until 2035. It indicates that banks' managerial risk can be seriously worsened from climate change. Also the BIS ratio is expected to decrease which also indicates weakening safety buffer against climate risks over time. Additionally, the ROA of insurance companies is expected to decrease, followed by an increase in the RBC, and then a subsequent decrease.

• Ocean and Polar Research
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• 제35권2호
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• pp.147-155
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• 2013

The purpose of this study is to investigate seasonal difference in linear trends in satellite-derived chlorophyll-a concentration (Chl-a) and their related environmental changes in the South Sea of Korea (SSK) and East China Sea (ECS) for recent 15 years (Jan. 1998~Dec. 2012) by analyzing climatological data of Chl-a, Rrs(555), sea surface wind (SSW) and nutrient. A linear trend analysis of Chl-a data reveals that, during recent 15 years, the spring bloom was enhanced in most of the ECS, while summer and fall blooms were weakened. The increased spring (Mar. - May) Chl-a was associated with strengthened winter (Dec. - Feb.) wind that probably provided more nutrient into the upper ocean from the deep. The causes of decreased summer (Jun. - Aug.) Chl-a in the northern ECS were uncertain, but seemed to be related with the nutrient limitation. Recently (after 2006), low-salinity Changjiang diluted water in the south of Jeju and the SSK had lower phosphate that caused increase in N/P ratio with Chl-a decrease. The decreased fall (Sep. - Nov.) Chl-a was associated with weakened wind that tends to entrain less nutrient into the upper ocean from the deep. This study suggests that phytoplankton in the ECS differently changes in response to environmental changes depending on season and region.

• 한국어류학회지
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• 제10권2호
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• pp.241-249
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• 1998

1986년 6월에서 1987년 3월 사이 영광 연안에서 소형 otter trawl를 이용하여 계절별로 저어류를 채집하여 종조성 변화를 분석하였다. 총 33종의 어류가 채집되었으며, 그 가운데 민태(Johnius grypotus), 쉬쉬망둑(Chaeturichthys stigmatias), 보구치(Argyrosomus argentatus)와 참서대(Cynoglossus joyneri)가 우점하여, 이 4종이 총 채집개체수의 81.9%, 총생체량의 71.4%를 차지하였다. 출현종수와 채집량은 온수기에 높았고, 이 시기에는 주거종인 참서대와 회유중인 보구치와 민태가 우점하였다. 냉수기에는 출현종수도 적었고, 쉬쉬망둑과 등가시치(Zoarces gillii)가 우점하였다. 본 연구 주요 우점종의 상대빈도는 1995년의 자료와 유사한 계절변동을 보였다. 한반도 서남 연안 천해역의 저어류 자료와 비교한 결과, 민태와 쉬쉬망둑의 상대빈도는 조류가 빨라짐에 따라 감소하였으나, 참서대는 증가하였다. 이러한 중감 경향은 참서대의 체형이 민태나 쉬쉬망둑에 비하여 바닥에 접촉할 수 있는 면이 넓어 조류가 강한 연안역에서 우점할 수 있는 것으로 추정된다.

• 한국해안해양공학회지
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• 제19권6호
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• pp.547-556
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• 2007

해운대 연안에서 파랑, 해빈류 및 조석류에 의한 표사이동을 TRANSPOR-2004를 이용해서 계절별 표사수지를 분석하였다. 그 결과로부터 년간의 표사수지를 계산하고 표사의 유출입경로를 유추하였다. 해수욕장의 동쪽 해안을 따라 해수욕장으로 유입된 표사는 중앙부에서 일부는 20% 정도는 외해로 유출하고 80% 정도는 해안을 따라 동백섬 쪽으로 이동하는 패턴을 나타냈다. 또한 동백섬의 남쪽에선 해안을 따라 해수욕장으로 유입되는 표사이동 패턴도 나타났다. 이 결과는 Gao 모델을 이용하여 봄과 가을의 퇴적물 이동 패턴을 계산한 결과와도 잘 일치하는 것으로 나타났다.

• 응용통계연구
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• 제22권4호
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• pp.865-877
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• 2009

본 연구에서는 서울지역 오존의 기상상태와 추세경향에 따른 고농도 현상을 모수적 방법인 비선형회귀모형(nonlinear regression model)으로 모형화 하였다. 여기서는 1995년부터 1999년까지의 자료로부터 오존과 고농도 현상에 영향을 줄 수 있는 기상상태와 추세경향 등을 순차적으로 추가함으로써 고농도 현상을 예측하는 모형을 추정하였다.

• Communications for Statistical Applications and Methods
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• 제29권3호
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• pp.353-371
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• 2022

This paper analyzes death counts after World War II of several countries to identify and to compare their stochastic structures. The stochastic structures that this paper entertains are three structural time series models, a local level with a random walk model, a fixed local linear trend model and a local linear trend model. The structural time series models assume that a time series can be formulated directly with the unobserved components such as trend, slope, seasonal, cycle and daily effect. Random effect of each unobserved component is characterized by its own stochastic structure and a distribution of its irregular component. The structural time series models use the Kalman filter to estimate unknown parameters of a stochastic model, to predict future data, and to do filtering data. This paper identifies the best-fitted stochastic model for three types of death counts (Female, Male and Total) of each country. Two diagnostic procedures are used to check the validity of fitted models. Three criteria, AIC, BIC and SSPE are used to select the best-fitted valid stochastic model for each type of death counts of each country.

• Environmental Engineering Research
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• 제21권1호
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• pp.58-68
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• 2016

The study explored droughts using the Standardized Precipitation Index (SPI) in the northwestern region of Bangladesh, which is the drought prone area. In order to assess the trend and variability of monthly rainfall, as well as 3-month scale SPI, non-parametric Mann-Kendall (MK) tests and continuous wavelet transform were used respectively. The effect of climatic parameters on the drought in this region was also evaluated using SPI, with the Southern Oscilation Index (SOI) by means of the wavelet coherence technique, a relatively new and powerful tool for describing processes. The MK test showed no statistically significant monthly rainfall trends in the selected stations, whereas the seasonal MK test showed a declining rainfall trend in Bogra, Ishurdi, Rangpur and Sayedpur stations respectively. Sen's slope of six stations also provided a decreasing rainfall trend. The trend of the SPI, as well as Sen's slope indicated an increasing dryness trend in this area. Dominant periodicity of 3-month scale SPI at 8 to 16 months, 16 to 32 months, and 32 to 64 months were observed in the study area. The outcomes from this study contribute to hydrologists to establish strategies, priorities and proper use of water resources.