• Title/Summary/Keyword: trend

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French Casual Restaurant Interior Design (프랑스 캐주얼 레스토랑 실내디자인)

  • Kim, Jung-Shin
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2007.05a
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    • pp.47-48
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    • 2007
  • The commerce space of today knew and simply in the space where it creates only space of the profit creation which leads a business the hay to reflect the sensitivity of the consumer new consuming culture trend it changed. It is a new trend it creates and it leads to sprout trend consumer class of leader trend(Trend Setter) as it does. This restaurant is one type of food culture which is various brunch it does with the important menu which it will pay. This design concept and one design inside the vigor garage side which reflects and to sleep the design concept which the traditional France restaurant has and has a discrimination from the plan which it sees and it applies new food culture it develops it does. Existing the reel rear design tendency which specialty restaurant is investigation it arranged the design discrimination strategy which is the possibility the shop which it tries to analyze having.

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Research for Modeling the Failure Data for a Repairable System with Non-monotonic Trend (복합 추세를 가지는 수리가능 시스템의 고장 데이터 모형화에 관한 연구)

  • Mun, Byeong-Min;Bae, Suk-Joo
    • Journal of Applied Reliability
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    • v.9 no.2
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    • pp.121-130
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    • 2009
  • The power law process model the Rate of occurrence of failures(ROCOF) with monotonic trend during the operating time. However, the power law process is inappropriate when a non-monotonic trend in the failure data is observed. In this paper we deals with the reliability modeling of the failure process of large and complex repairable system whose rate of occurrence of failures shows the non-monotonic trend. We suggest a sectional model and a change-point test based on the Schwarz information criterion(SIC) to describe the non-monotonic trend. Maximum likelihood is also suggested to estimate parameters of sectional model. The suggested methods are applied to field data from an repairable system.

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Change-point Approach for Analyzing Failure Trend in Repairable Generating Systems (수리 가능 발전기 시스템의 고장추세 분석을 위한 변화점 접근방법)

  • Hong, Min-Pyo;Bae, Suk-Joo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.1
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    • pp.11-19
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    • 2009
  • A number of trend test methods, i.e., Military Handbook test and Laplace test etc., have been applied to investigate recurrent failures trend in repairable systems. Existing methods provide information about only existence of trend in the system. In this paper, we propose a new change-point test based on the Schwarz Information Criterion(SIC). The change-point approach is more informative than other trend test methods in that it provides the number of change-points and the location of change-points if it exists, as well as the existence of change-point for recurrent failures. The change-point test is applied to nine 300MW generating units operated in East China. We confirm that the change-point test has a potential for establishing optimal preventive maintenance policy by detecting change-point of failure rate.

Consumer Consciousness Toward Well-being Trend and Well-being Behaviors (웰빙트랜드에 대한 소비자의식 및 웰빙행동)

  • Yoo, Hyun-Jung
    • Korean Journal of Human Ecology
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    • v.15 no.2
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    • pp.261-274
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    • 2006
  • The purpose of this study was to explore the well-being behaviors and the consciousness toward well-being trend. The well-being behaviors were composed of 4 dimensions such as regular exercise, purchase the organic agricultural products, use of the air cleaner, and diet for health. The consumer consciousness toward well-being trend was composed of 3 factors such as the marketing criticism, the pursuit of mental richness and orientation for rural life. Especially, the differences of well-being behavior and consumer consciousness toward well-being trend according to socio-demographic variables. The main results were as follows: 1. The well-being trend was extended every consumer, but consumers were not after well-being trends or goods. In addition to consumers thought that well-being trend was stoked by marketers. 2. The well-being behaviors and consumer consciousness were statistically different among groups by the socio-demographic variables.

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A Study on the Effects of Well-being Trend on Menu Selection Behavior (웰빙 트랜드가 메뉴 선택에 미치는 영향에 관한 연구)

  • Park, Geun-Han;Park, Heon-Jin;Jung, Jin-Woo
    • Culinary science and hospitality research
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    • v.14 no.3
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    • pp.45-57
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    • 2008
  • The purpose of this study is to initiate a systematic approach to maximize profits through continuous development of menu and build a strong image of Western restaurants located inside hotels by identifying their guests' knowledge and concern and menu selection behavior in well being trend. Findings from the analysis are as follows. First, among the Western menu selection behavior, organic grain and seafood, seasonal event menu, less spicy and more natural cooking methods are favored as the most important consideration. Second, customers' knowledge and concern in well being trend and menu selection behavior were found to be statistically significant. Third, customers' awareness in health and obesity were found to be statistically significant to the concern in well being trend. Fourth, demographical characteristics of customers such as gender, marital status, age, income level and education were tested for their relationships with knowledge and concern in well being trend.

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An Analysis of New Textile Material Developmental Trend (섬유 신소재 개발 Trend에 대한 고찰)

  • 이유경;김순심
    • Korean Journal of Rural Living Science
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    • v.6 no.1
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    • pp.11-24
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    • 1995
  • The new textile materials may be defined as textile materials different from already existing ones in the physical and chemical structure, manufacturing process, or end-use property. The present time what is called the post-industrial society is characterized by rapid change and new technology. Also, textile materials have been changed rapidly and diversely in the post-industrial society than in any other periods. The study aimed to analyze the trend of new tektite materials development in Korea and to forecast the development trend in the future. To investigate the trend of new textile materials, various written materials and informations were collected from the manufacturers, textile related periodicals, and research journals, and they were analyzed. The period of analysis was from January 1992 to May 1995. The results of this research are as followings : (1) Mixed textile materiasl such as bicomponent fiber, blended yam and blended fabric were increased. (2) High technology has an important effect upon new textile material development. (3) functional textile materials were increased (4) The high value-added products were increased. (5) The naturalized textile materials were increased.

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Suggestion of a Groundwater Quality Management Framework Using Threshold Values and Trend Analysis (문턱값과 추세분석을 이용한 지하수 수질관리체계 구축을 위한 연구)

  • An, Hyeonsil;Jee, Sung-Wook;Lee, Soo Jae;Hyun, Yunjung;Yoon, Heesung;Kim, Rak-Hyeon
    • Journal of Soil and Groundwater Environment
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    • v.20 no.7
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    • pp.112-120
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    • 2015
  • Statistical trend analysis using the data from the National Groundwater Quality Monitoring Network (NGQMN) of Korea was conducted to establish a new groundwater quality management framework. Sen’s test, a non-parametric statistical method for trend analysis, was used to determine the linear trend of the groundwater quality data. The analysis was conducted at different confidence levels (i.e., at 70, 80, 90, 95, and 99% confidence levels) for three of groundwater quality parameters, i.e., nitrate-nitrogen, chloride, and pH, which have sufficient time series of the NGQMN data between 2007 and 2013. The results showed that different trends can be determined for different depths even for the same monitoring site and the numbers of wells having significant trends vary with different confidence levels. The wells with increasing or decreasing trends were far less than the wells with no trend. Chloride had more wells with increasing trend than other parameters. On the other hand, nitrate-nitrogen had the most wells with increasing trend and concentration exceeding 75% of the threshold values (TVs). Based on the methodology used for this study, we suggest including groundwater TVs and trend analysis to evaluate groundwater quality and to establish an advanced groundwater quality management framework.

Long-Term Water Quality Trend Analysis with NTrend 1.0 Program in Nakdong River (NTrend 1.0에 의한 낙동강 수질 장기변동 추세분석)

  • Yu, Jae Jeong;Shin, Suk Ho;Yoon, Young Sam;Song, Jae Kee
    • Journal of Korean Society on Water Environment
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    • v.26 no.6
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    • pp.895-902
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    • 2010
  • The effect of seasonality on water quality variation is very significant. Generally, it reduce the power of the trend extraction. A parametric time-series model was used for detecting trends in historic constituent concentration data. The effect of seasonality is able to remove from time series decomposition technique. According to such statistic methode, long-term water quality trend analysis system (NTrend 1.0) was developed by Nakdong River Water Environmental Research Center. The trend analysis of BOD variation was conducted with NTrend 1.0 at Goreong and Moolkum site in Nakdong river to show the effect of water quality management action plan. Power test of trend extraction was tried each case of 'deseasonalized and deannulized' data and 'deseasonalized' data. Analysis period was from 1989 to 2006, and it's period was divided again three times, 1989~1993, 1994~1999 and 2000~2006 according to action plan period. The BOD trend was downward in Goreong site during three times and it's trend slope was very steep, and upward in Moolkum during 1989~1993, but it was turned downward during 1994~1999 and 2000~2006. It was revealed that it's very effective to reduce the concentration of BOD by water quality management action plan in that watershed. The result of power test was shown that it is high for trend extraction power in case of 'deseasonalized' data.