• 한국기후변화학회지
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• 제9권2호
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• pp.157-169
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• 2018

This study explores the long?term trends of extreme temperatures of 270 observation stations in East Asia (China, Japan, and Korea) for 1961?2013. The 5th percentile of daily minimum temperatures (TN05%) and 95th percentile of daily maximum temperatures (TX95%), derived from the quantile regression, are particularly examined in term of their linear and nonlinear trends. The warming trends of TN05% are typically stronger than those of TX95% with more significant trends in winter than in summer for most stations. In both seasons, warming trends of TN05% tend to amplify with latitudes. The nonlinear trends, quantified by the $2^{nd}$?order polynomial fitting, exhibit different structures with seasons. While summer TN05% and TX95% were accelerated in time, winter TN05% underwent weakening of warming since the 2000s. These results suggest that extreme temperature trends in East Asia are not homogeneous in time and space.

• 복식
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• 제22권
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• pp.313-332
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• 1994

The purpose of this study were as follows : 1) Investigate how to intluence Clothes with time background and trends of art-thought in the twenty century. 2) To understand chronologically how to change hair style Make-up and hair decor-ation. I. 1st and 2nd World War time(1920-1945) The women's social status and their sexual equality was promoted during in this time. 1) African Art Surrealism and Expression art were doninated. 2) The popalar trends were tutular silhoutte (Slim and long) boyish Style and military lookwere popular. 3) The popalar trends of were Eton Crop. short bob gaconne hair style cloche hat. page boy hair style were popular. 4) The trend of make-up which specially. emphasized eye make-up and imitated movie star make-up and make shining redish of lip and nails were popular. II. The stage of modernism(1945-1969) cold war time between communism and capi-talism and promotin of women's human rights were established in this time. 1) Pop art avantgrade art were catched up 2) The popular trends of were new look Kior's line silhoutte mini skirt and young fashion. 3) The popular trend of hair style was french twist. Pill Boxs hat curly bob style were prevalenced and they some what dwarfed hair style. 4) make-up natural make-up was popular. III. The stage of high economic development (1969-1990) Increased population economic development were tend to specialize with anti-social action such as Hippie and Punk groups. 1) Op art Androgynous post-modernism Punk and neo-modernism were catched up. 2) Clothes : classic style of reactionism layered look Punk-fashion avantgrade fashion and pantalon suits were prevalence. 3) Hair Style : Twiggy's short hair style the geometric hair cut natural long hair Spike hair unsex-hair style. 4) Make-up : diversified individuality were prevalence The result of this study indicated that the value's of recognize the importance of total fashion that is the harmonization of clothes hair style and make-up.

• Communications for Statistical Applications and Methods
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• 제11권2호
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• pp.313-321
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• 2004

In this article we show that the tests of Robinson (1994) may have serious problems in distinguishing between fractionally integrated processes in the context of deterministic trends. The results are obtained via Monte Carlo experiments. A simple procedure, based on the t-values of the coefficients from the differenced regression, is presented to correctly specify the time series of interest and, an empirical application, using data of the US GNP is also carried out at the end of the article.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2004년도 춘계 종합학술대회 논문집
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• pp.503-512
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• 2004

The most important virtue that S&T information should possess is the promptness. In the era of global competition, it is very important to catch the technical trends and R&D policy of advanced countries in time. In this paper, we surveyed S&T trends information service in advanced and competing countries including USA, Japan, European countries, and china. Based on the survey result, we show that the "Overseas S&T Trends Information Service" provided by KISTI is dominant to those of other countries

• The Journal of Asian Finance, Economics and Business
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• 제8권8호
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• pp.149-156
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• 2021

Gambling negatively affects the economy, and it brings unwanted financial, social, and health outcomes to gamblers. On the one hand, unemployment is argued to be a leading cause of gambling. On the other hand, gambling can cause unemployment in the second-order via gambling-induced poor health, falling productivity, and crime. In terms of significant effects, previous studies were able to establish an association, but not causality. The current study examines the time-sequence and contemporaneous causalities between lottery gambling and unemployment in Thailand. The Granger causality and directed acyclic graph (DAG) tests employ time-series data on gambling- and unemployment-related Google Trends indexes from January 2004 to April 2021 (208 monthly observations). These tests are based on the estimates from a vector autoregressive (VAR) model. Granger causality is a way to investigate causality between two variables in a time series. However, this approach cannot detect the contemporaneous causality among variables that occurred within the same period. The contemporaneous causal structure of gambling and unemployment was identified via the data-determined DAG approach. The use of time-series Google Trends indexes in gambling studies is new. Based on this data set, unemployment is found to contemporaneously cause gambling, whereas gambling Granger causes unemployment. The causalities are circular and last for four months.

• 한국연소학회:학술대회논문집
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• 한국연소학회 2001년도 제22회 KOSCI SYMPOSIUM 논문집
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• pp.147-155
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• 2001

The NOx emission characteristics of jet flames fueled with $H_2$ and $CH_4$ were studied. Experimental and numerical investigations were carried out for various flames with varying equivalence ratio, fuel flow rate and nozzle diameter. The Emission indices of NOx(EINOx) were measured by chemiluminescent method and calculated by simulation using detailed chemistry. The results show that EINOx of $CH_4$ and $H_2$ flames have different trends in terms of equivalence ratio and fuel flow rate but have the same trends in terms of nozzle diameter. These differences can be explained by the following Thermal and Prompt trends in both flames. Thermal EINOx trends can be describe in function of residence time in the high-temperature region weighted by the maximum flame temperature and Prompt EINOx trends can be described in function of flame surface area of each combustion conditions.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.165-167
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• 2004

End-user electric power consumption trends shows various load curves dependant on industry, contract, season, day and time. Analysis of end-user electric power consumption trends has a key role to efficiently meet electricity demand. There are several factors of change in electricity demand such as the change of weather, international conflict, and industrial trends during summer. This paper has analyzed the analysis the end-user electric power consumption trends using the load curve during international conflict. We observed that international conflict decreased electric demand by $5.4\%$. This increase is not significant, and therefore we conclude that the international conflict has not greatly affected Korea's electricity demands. This paper provides useful information so as to mon: efficiently perform demand side management.

• Journal of Animal Science and Technology
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• 제50권6호
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• pp.747-752
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• 2008

본 연구는 1990년 1월부터 2006년 12월말까지 지난 17년간 과천경마공원에서 경주한 경주마 9,934두의 주파기록, 총 208,043개를 이용하여 속도형질들에 대한 경주년도별 개량 추세를 분석하였다. 속도형질로는 반복 주파기록, 우승마 주파기록, 거리별 연간 최고 주파기록 세 가지를 분석하였으며, 이들에 대한 유전율은 각각 0.288, 0.275와 0.341로 추정되었고 반복율은 각각 0.502, 0.475와 0.496이었다. 경주속도 형질들에 대한 연간 표현형 개량량은 －0.115 ~－0.148초의 범위를 나타내었다. 반면 반복 주파기록에 대한 연간 유전적 개량량은 －0.027초 추정되었으나 나머지 형질들에 대해서는 유의성이 인정되지 않았다. 따라서 더러브렛 경주마의 개량형질로는 반복 주파기록을 이용하는 것이 바람직할 것으로 생각된다.

• 한국의류학회지
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• 제46권6호
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• pp.1058-1073
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• 2022

Big data analytics and social media have shifted the way fashion trends are dictated. Fashion as a medium for expressing gender has created new concepts of masculinity in popular culture, where men are increasingly depicted in a softer style. In this study, we analyzed 2,879 menswear collections over a 10-year period from Vogue US to uncover key menswear trends. Using Semantic Network Analysis (SNA) on Orange3, we were able to quantitatively analyze how contemporary menswear designers interpreted diversified trends of masculinity on the runway. Frequency and degree centrality were measured to weigh the significance of trend keywords. "Jacket (f = 3056; DC = 0.80), shirt (f = 1912; DC = 0.60) and pant (f = 1618; DC = 0.53)" were among the most prominent keywords. Our results showed that soft masculine keywords, e.g., "lace, floral, and pink" also appeared, but with the majority scoring DC = < 0.10. The findings provide an insight into key menswear trends through frequency, degree centrality measurements, time-series analysis, egocentric, and visual semantic networks. This also demonstrates the feasibility of using text analytics to visualize design trends, concepts, and patterns for application as an ideation tool for academic researchers, designers, and fashion retailers.

• 경영과학
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• 제32권3호
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• pp.91-103
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• 2015

This study recognizes that there is a correlation between the movement of the financial market and the sentimental changes of the public participating directly or indirectly in the market, and applies the relationship to investment strategies for stock market. The concerns that market participants have about the economy can be transformed to the search terms that internet users query on search engines, and search volume of a specific term over time can be understood as the economic trend of big data. Under the hypothesis that the time when the economic concerns start increasing precedes the decline in the stock market price and vice versa, this study proposes three investment strategies using casuality between price of domestic stock market and search volume from Naver trends, and verifies the hypothesis. The computational results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior in domestic stock market.