• 자동차안전학회지
• /
• 제10권1호
• /
• pp.38-44
• /
• 2018

This paper presents an analysis on driving safety in lane change situation based on road driving data. Autonomous driving is a global trend in vehicle industry. LKAS technologies are already applied in commercial vehicle and researches about lane change maneuver have been actively studied. In autonomous vehicle, not only safety control issue but also imitating human driving maneuver is important. Driving data analysis in lane change situation has been usually dealt with ego vehicle information such as longitudinal acceleration, yaw rate, and steering angle. For this reason, developing safety index according to surrounding vehicle information based on human driving data is needed. In this research, driving data is collected from perception module using LIDAR, radar and RT-GPS sensors. By analyzing human driving pattern in lane change maneuver, safety index that considers both ego vehicle and surrounding vehicle state by using relative velocity and longitudinal clearance has been designed.

• The International Journal of Costume Culture
• /
• 제4권3호
• /
• pp.229-240
• /
• 2001

The purpose of the present study was to analyze the acceptance level of forecasted information of casual wear in tate 1990s in Korea and the way of utilizing fashion trends information by casual wear industries. The Present study was implemented by content analysis and descriptive survey using questionnaire and interview. Trends information in fashion journals published by fashion institute and articles in daily newspapers were analyzed in terms of fashion image, color, fabric, and silhouette. The data collected from questionnaire and interview with 113 fashion specialists were analyzed through frequency, percentage. The results indicated that among the forecasted information regarding fashion image, romantic and feminine images showed a high level of acceptance to national brand women's casual wear in the late 1990s, while mannish image showed a low level of acceptance. For men's casual wear in the same time period, androgynous trends appeared most frequently, not only in forecasted information, but also in actual trend. it was forecasted that yellow, white, and gray would be in trend and those colors appeared frequently in actual trend. On the other hand pastel tone appeared much more frequently than forecasted. Natural, thin - transparent (S/S) and stretch fabrics (F/W) were in actual trend as it was forecasted. Fit and Pare (woman), and long and slim (man) silhouettes were in actual trend as if was forecasted, but barrel silhouette appeared only in forecasted information. Most of the information forecasting fashion trends for next season were applied to the product planning of the season, right after the information comes out.

• 보건행정학회지
• /
• 제28권1호
• /
• pp.95-97
• /
• 2018

Catastrophic health expenditure refers to when a household spends more than 40 percent of disposable income for out-of-pocket-expenses for healthcare. This study investigates the percentage of South Korean household which experienced the catastrophic health expenditure between 2006 and 2016 with the National Survey of Tax and Benefit and the Household Income and Expenditure Survey data. Percentage of households with the catastrophic health expenditure and tread tests were conducted with weight variable. The results of the National Survey of Tax and Benefit and the Household Income and Expenditure Survey showed 2.17% and 2.92% of households experienced the catastrophic health expenditure in 2016. In trend analysis, the National Survey of Tax and Benefit showed a statistically significant decreasing trend in the proportion of households with the catastrophic health expenditure (annual percentage change [APC]=-4.03, p<0.0001). However, the Household Income and Expenditure Survey revealed a statistically significant increasing trend (APC=1.43, p<0.0001). In conclusion, this study suggests that optimal healthcare alternatives are needed for the catastrophic health expenditure and monitoring low-income households.

• 산경연구논집
• /
• 제15권3호
• /
• pp.1-9
• /
• 2024

Purpose: This research aimed at understanding the dynamics of consumer behavior in the context of nostalgic desserts. The primary objective is to scrutinize how different attributes like quality, health, convenience, and trend influence customer satisfaction and their subsequent decision to repurchase nostalgic desserts. Research Method: The study leverages structural equation modeling, incorporating statistical tools such as SPSS and AMOS for a thorough analysis. It involves collecting data over a specified period, followed by correlation and trend analyses to deduce patterns and relationships. Results: The findings reveal that attributes such as quality, health, convenience, and trend significantly impact customer satisfaction and repurchase intentions. Interestingly, economic factors appeared to have a negligible effect on these decisions. The study offers a comprehensive understanding of the factors that influence consumer decisions in the context of nostalgic desserts, providing valuable implications for both academic research and practical marketing strategies. Conclusions: The insights garnered from this research are pivotal for formulating marketing strategies for nostalgic dessert brands. It underscores the importance of accentuating quality, health, and trend in product offerings to boost customer satisfaction and encourage repurchases. The study also sheds light on the evolving nature of consumer preferences and the integral role of nostalgia in shaping purchasing behaviors.

• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.276-279
• /
• 2015

Along with the increase of the quantity of data in various industries, the construction industry has also developed various systems focusing on collecting data related to the construction performance such as productivity and costs achieved in construction job sites. Numerous researchers worldwide have been focusing on developing efficient methodologies to analyze such data. However, applications of such methodologies have shown serious limitations on practical applications due to lack of data and difficulty in finding appropriate analytic methodologies which were capable of implementing significant insights. With development of information technology, the new trend in analytic methodologies has been introduced and steeply developed with the new name of "big data analysis" in various fields in academia and industry. The new concept of big data can be applied for significant analysis on various formats of construction data such as structured, semi-structured, or non-structured formats. This study investigates preliminary application methods based on data collected from actual construction site. This preliminary investigation in this study expects to assess fundamental feasibility of big data analytic applications in construction.

• 디지털산업정보학회논문지
• /
• 제10권2호
• /
• pp.29-36
• /
• 2014

Finite failure NHPP software reliability models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rates per fault. In this paper, proposes the Gompertz distribution reliability model, which made out efficiency application for software reliability. Algorithm to estimate the parameters used to maximum likelihood estimator and bisection method, model selection based on mean square error (MSE) and coefficient of determination$(R^2)$, for the sake of efficient model, was employed. Analysis of failure using real data set for the sake of proposing fixed shape parameter of the Gompertz distribution was employed. This analysis of failure data compared with the Gompertz distribution model of shape parameter. In order to insurance for the reliability of data, Laplace trend test was employed. In this study, the proposed Gompertz model is more efficient in terms of reliability in this area. Thus, Gompertz model can also be used as an alternative model. From this paper, software developers have to consider the growth model by prior knowledge of the software to identify failure modes which can was helped.

• 한국의상디자인학회지
• /
• 제1권1호
• /
• pp.53-71
• /
• 1999

The purpose of this study is to determine the fashion images implied in men's fashion trends and systematize the characteristics of the textile materials used for fashion images, by analyzing men's fashion trends published by Korean fashion information service companies. This study would be meaningful if it can suggest some objective criteria for the characteristics of textile per fashion image. The researcher analyzed the data on the basis of 8 fashion images, which were ethnic, modern, traditional, avant-garde, active, romantic, natural, techno ones. Above men's fashion images were choosed by analyze the some literatures and men's fashion trend information. The data used for this study were information about S/S and F/W men's fashion trends published by Interfashion planning, Samsung fashion Research Center for the period of 1995-2000. The data collected were subject to “content analysis method”. As a result of the analysis, the major images of 1995-2000 were natural, active, traditional, modern, ethnic, avant-garde, techno images, and while such combinations of conflicting images as ethnic/modern, traditional/avant-garde, natural/techno. Other mixed images were ethnic/natural, modern/active, tradional/active, traditional/modern, romantic/modern, ethnic/romantic, traditional/natural, modern/natural, active/natural, active/traditional/natural, etc. The various characteristics of eight men's fashion images were found in color, pattern and textile materials.

• 대한인간공학회지
• /
• 제29권2호
• /
• pp.183-188
• /
• 2010

The purpose of this study is to investigate the stationarity of the electromyographic signal in various flexion angles, loads, and window sizes, which influence the result of the mean power frequency (MPF) and median frequency (MNF) analysis. Six healthy subjects participated in the experiment. They were tested in the combination of 3-level flexion angles (0 degree, 22.5 degree, 45 degree) and 3-level loads (0Nm, 30Nm, 60Nm). Electromyographic data were collected for 20 seconds during isometric contraction. The stationarity of collected data were analyzed with four different window sizes including 250, 500, 1000 and 2000ms. Two test methods for stationarity such as Reverse Arrangements Test and Modified Reverse Arrangements Test were used. In order to show the effect of nonstationarity, the increasing/decreasing trend of MPF and MNF trend were discussed. In results, the stationarity of the electromyographic signal decreased as flexion angle increased and load decreased while window size decreased based on Reverse Arrangements Test. The highest stationarity was shown at 500 ms window in Modified Reverse Arrangements Test. The inclination of MNF and MPF indicated 3.6-6.3%, 3.8-5.1% discrepancy compared to the result from stationary data.

• 한국주거학회논문집
• /
• 제28권2호
• /
• pp.1-12
• /
• 2017

In modern society, diverse vulnerable population, such as homeless, disabled, elderly and so on, have been prominently appeared with polarization of wealth because of radial biased economic development and urban sprawl. Housing acquisition is a difficult problem for the venerable population to get, so appropriate alternatives should be explored. In USA, under the 'Housing First' principle, supportive housing has been developed as a main alternative. Sharing this alternative experience is very valuable to promote future development including policies. The purpose of this study is to delineate the trend of supportive housing research. This research is conducted by content analysis technique, and data were recent 29 research articles dealing supportive housing, collected from medical service data base where supportive housing research has started and diffused. As results, overall trends and characteristics appeared that the main research field was Psychiatry/Psychology, and mostly, they were correlational research. Mainly, resident type was mentally ill, and the principal research method was secondary data analysis. In general, all the service programs were mostly essential, and the number of congregate housing type appeared dominantly. The modern supportive housing is a social intervention to cope with instability of future housing welfare.

• 한국빅데이터학회지
• /
• 제3권1호
• /
• pp.63-71
• /
• 2018

최근 5년(2013~2017년) 연속 영화 총 관객 수가 2억 명이 넘는 국내 영화 산업에서 천만 관객을 돌파한 한국 영화 간에는 어떤 요인이 영향을 미쳤는지 분석해 보았다. 일반적으로 천만 관객 돌파에 영향을 주는 요인으로는 스크린 수와 평점을 중요하게 보는 시각이 많았다. 본 연구에서는 스크린 수, 평점을 포함하고 추가적으로 4가지 요인을 설정하여 가설을 수립하고 빅데이터 분석을 통해 천만 관객 돌파 유무와의 상관관계를 분석했다. 이를 통해 천만 관객 돌파 예측 정확도는 91%, 누적 관객 수 예측 정확도는 99.4%까지 맞추는 유의미한 결과를 얻었다.