• 응용통계연구
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• 제10권1호
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• pp.163-175
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• 1997

많은 산업체나 농업 현장에서 실험이 행해질 때 블록내 실험단위에서의 처리가 시간적 또는 공간적으로 제약을 받는 경우가 빈번히 발생하게 되는데 이러한 경우 처리는 확률화에 따르기보다는 조직적인 순서에 따라 행해지게 된다. 이때 처리 효과가 블록내에서 나타날 수 있는 시간적 또는 공간적 추세에 독립적으로 추정되도록 순서가 설계된 실험계획을 추세무관 블록계획이라 부른다. 본 논문에서는 먼저 추세무관 블록계획의 성질을 살펴 그 필요성에 관해 약술하고 다음으로 선형추세무관 블록계획의 생성을 위한 두 알고리즘을 소개한다. 하나는 Bradley와 Odeh(1988)에 의해 고안된 알고리즘을 보완하였고, 다음은 존재하는 모든 가능한 계획을 발생시키는 알고리즘을 제시하였다.

• Asian Pacific Journal of Cancer Prevention
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• 제16권12호
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• pp.4955-4958
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• 2015

Background: Skin cancer is the most common type of cancer worldwide. It has an increasing trend. This study investigated the epidemiological trend and morphological changes in skin cancer in Iran. Materials and Methods: This study was done using existing data, extracted from the National Cancer Registry System and the Disease Management Center of Iranian Ministry of Health between 2003 and 2008. Data on epidemiologic trend was analyzed using Joinpoint software package. Results: The incidence of skin cancer is increasing in Iran, and more in men than women. There was a declining trend for basal cell carcinoma. Basal squamous cell carcinoma and melanoma had an increasing trend. The increase of skin cancer was related to squamous cell carcinoma. Conclusions: Our findings indicated that the increase of skin cancer was attributed to squamous cell carcinoma. It is necessary to be planning for the control and prevention of this disease as a priority for health policy makers.

• 한국의상디자인학회지
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• 제4권2호
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• pp.127-138
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• 2002

The recent fashion trend of knit wear is now changing to the various fibrous color combination which emphasizes the plain texture. It supports the human body curvature which is influenced by the slim style of woven wear. In this research work, the general characteristics and knit wear fashion trend are studied. The metallic fiber and fancy yarn are used widely as fiber materials for knit in nowadays. However, the light and functional materials are preferred. The general characteristics of knit which gives the feeling of light and warm are still prevailing using pure wool, kid mohair, and mixed wool with polyester. In order to provide the soft touch feeling, smoothness of fine fiber, and feeling of sponge, several kinds of finishing techniques such as bulky, felting, bonding, and quilting process are usually adopted. The knit wear fashion trend is mainly consisted of the basic design items, and it gives the feeling of luxurious and elegance. The more youthful feeling is adapted for the general style of knit wear of the certain target age. The woven wear trend such as season color, line and pattern are applied in knit wear trend in recent days.

• 한국의상디자인학회지
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• 제8권1호
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• pp.25-36
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• 2006

This paper investigates recent trend and characteristic of sports casual ware. By literature review and case study, it compares active sports casual ware with sports ware and analyzes how the latter has been applied to the former. Further, it attempts to assess future design trend of sports casual ware The result of the analysis of 2004 F/W season's trend is the following. Most brands emphasize classic factors and, at the same time, adopts recent trends. They effectively use splendid colors to expose brand identity, and take advantage of sports games as a marketing tool of special lines. In addition, designs emphasizing women's sexy and healthy style are popular in sports casual ware. Recent trend is characterized by cross-over or hybrid. Active sports ware is expanded to a mixture with casual ware or casual ware featured sportive details and images.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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• pp.1066-1070
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• 2002

We propose a neural network based up-trend detector. An auto-associative neural network was trained with 'up-trend' data obtained from the KOSPI 200 future price. It was then used to predict an up-trend Simple investment strategies based on the detector achieved a two year return of $19.8\%$ with no leverage.

• 한국신뢰성학회지:신뢰성응용연구
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• 제3권1호
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• pp.83-92
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• 2003

We studied the trend change of failure rate function and uncertainty of residual life function in terms of location of their trend change points. It is shown that the trend change of uncertainty of residual life takes place before the failure rate changes its trend. Like DIFR(IDFR) does not necessary implies IDMRL(DIMRL), we find the fact that DIFR(IDFR) does not always imply IDURL(DIURL) under certain conditions, through the exponentiated-weibull distribution.

• 한국의류학회지
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• 제39권5호
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• pp.745-754
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• 2015

This study analyzed Korean middle-aged men's fashionable styles according to ageless trends as their representative characteristic and deriving their special features from men's magazines. Literature and case studies were conducted together. The research findings are as follows. First, it showed uniformity, conformity, passive clothing selection and consumption in 1990s as characteristics of middle-aged men's wear by period. However, clothing became an expressive way to pursue individuality and an ageless trend gradually, and middle-aged men positioned themselves as subjects of a consumer market for men's wear after 2010 through active clothing selection and consumption. Second, along with a trend change preferring a comfortable and active to formal atmosphere, it showed that casual style became diversified and segmented gradually in Korean middle-aged men's ageless trend and fashionable style. Third, as for formative characteristic changes in middle-aged men's fashionable style by period, it contained a slim silhouette, bright and splendid colors and patterns, increase of light, active and functional materials, generalization of casual items and pursuit of individuality by various mix & match styles. Fourth, in Korean men's ageless trend and changing fashionable style, four kinds of special characteristics were derived that included a change of the traditional clothing symbolism, weakened conformity & pursuit of personality, obscured boundaries between age and wearing style, and active embracing of a trend.

• 한국의류산업학회지
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• 제10권6호
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• pp.926-935
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• 2008

The field of textile and fashion is regard to be sensitive to trend, however, the professional fashion information planning company for trend forecasting has not settled down in Korea. This study was designed to propose systemizing for fashion trend information planning in domestic fashion information service market. The empirical research was conducted by analysing in-depth interview data and news-scrap contents about each fashion information planning company. The result are as follows; First, fashion information service showed a little difference according to the type of fashion information companies, but they provided not only general fashion trends but also external market environmental information, survey-based consumer information and various segmented market research reports including academic information. Second, the fashion information planning process is largely divided into 3 stages; trend analysis, trend forecasting, trend application. The trend application step is the stage which connects the fashion information service industry to the fashion business. Thirdly, as a result of the competitive power evaluation for fashion information planning, the domestic fashion information planning companies came to reveal the fact that the possibility of carrying out and information analysis power were weak, however, how to present trend information had a relatively competitive. Consequently, this study is expected to play a role in understanding the importance of fashion trend information, and further ahead it would be helpful to organize the curriculum of fashion information planning subject in order to educate the future fashion executives.

• 국제지역연구
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• 제21권4호
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• pp.159-172
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• 2017

비관측요인(unobserved-component)모형을 이용한 GDP의 추세-순환요인 분해에서, 통상적으로 추세는 확률보행 과정을 갖는 것으로 가정된다. 본 연구는 추세를 ARIMA 과정으로 표현하는 경우, GDP 변동에서 갖는 추세요인의 의미가 어떻게 달라지는가를 살펴보고, GDP에 대한 예측력이 개선될 수 있는가의 여부를 미국의 데이터를 이용하여 실증적으로 분석하였다. 모형은 GDP만의 단일변수모형과 물가를 포함하는 2변수모형의 두 가지를 고려하여 설정하였으며, 모형 추정은 비관측요인모형을 상태-공간모형으로 전환한 후 칼만 필터(Kalman filter)를 이용한 최대우도추정법을 사용하였다. GDP에 대한 예측은 축차적 추정(recursive estimation)을 이용한 동적 표본외예측(dynamic out-of-sample) 방식을 사용하였으며, 예측력 비교결과에 대한 검정은 Diebold-Mariano 검정을 이용하였다. 분석 결과는 첫째, 모형의 추정결과에서 ARIMA 추세의 계수가 통계적으로 유의적인 값을 가지며, 둘째, ARIMA 추세 모형이 확률보행 추세 모형보다 GDP 변동의 분산 및 자기 상관성(autocorrelation)을 보다 잘 설명하며, 셋째, 예측력에서 단일변수보다는 2변수모형의 예측력이 그리고 확률보행 추세보다는 ARIMA 추세를 갖는 모형의 예측력이 통계적으로 유의하게 높은 것으로 나타났다. 이러한 결과들은 GDP 추세-순환 요인 분해에서 추세를 ARIMA 과정으로 표현하는 것이 보다 타당하다는 것을 시사하고 있다.

• 해양환경안전학회지
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• 제26권3호
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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.