• Title/Summary/Keyword: Trend Research

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Fur trend analysis showed in 2006 Fall Winter collection (2006 F/W Fur fashion trend 분석)

  • Lee, Eun-Young
    • The Journal of Natural Sciences
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    • v.17 no.1
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    • pp.79-87
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    • 2006
  • Now thus season trend, we can see the multi and digital trend. Specially it was very sensational in fur trend. Many designer showed very shocking and mixed design, silhouette is bulky and fusion short. The background are rise up of kidult, naturalism, techno casual sense, new avangarde. Now, fur is not the classic item anymore. It is necessary to change funny and trendy casual item.

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An Analysis of the Ecology Fabric Trend : 20 Years (1986-2005) of S/S Woven Fabric Trends

  • Kim, Dong-Woon;Park, Chung-Bee
    • International Journal of Costume and Fashion
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    • v.10 no.1
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    • pp.29-45
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    • 2010
  • In order to provide more systematic approach to analyze fabric trends and to develop fabrics accordingly, ecology fabric trend from 1986 to 2005 was analyzed related with fabric trend themes and fabric attributes. The result shows that in the 1980s, natural theme appeared, followed by primitive theme and imitated natural theme until the mid 1990s. From the late 1990s to the early 2000s, new natural theme appeared, followed by eco-friendly theme, and then recycling theme. In the natural theme, 'clean' was the most important fabric attribute and 'textured' and 'worn' were important fabric attributes in the primitive theme. In the imitated natural theme, 'wet' fabric attribute was preferred. In the new natural theme, 'lightweight' were preferred. The results of this study empirically demonstrated that abstract and ambiguous trend terms can be interpreted with a physical, substantial, and feasible attributes that fabric practitioners can easily understand.

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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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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Applying Bootstrap to Time Series Data Having Trend (추세 시계열 자료의 부트스트랩 적용)

  • Park, Jinsoo;Kim, Yun Bae;Song, Kiburm
    • Journal of the Korean Operations Research and Management Science Society
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    • v.38 no.2
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    • pp.65-73
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    • 2013
  • In the simulation output analysis, bootstrap method is an applicable resampling technique to insufficient data which are not significant statistically. The moving block bootstrap, the stationary bootstrap, and the threshold bootstrap are typical bootstrap methods to be used for autocorrelated time series data. They are nonparametric methods for stationary time series data, which correctly describe the original data. In the simulation output analysis, however, we may not use them because of the non-stationarity in the data set caused by the trend such as increasing or decreasing. In these cases, we can get rid of the trend by differencing the data, which guarantees the stationarity. We can get the bootstrapped data from the differenced stationary data. Taking a reverse transform to the bootstrapped data, finally, we get the pseudo-samples for the original data. In this paper, we introduce the applicability of bootstrap methods to the time series data having trend, and then verify it through the statistical analyses.

Technology Characteristics of Hydrogen Storage and Its Technology Trend by the Patent Analysis (수소저장 기술특성 및 특허분석에 의한 기술동향)

  • Noh, Soon-Young;Rhee, Young-Woo;Kang, Kyung-Seok;Choi, Sang-Jin;Kim, Jong-Wook
    • Journal of Hydrogen and New Energy
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    • v.19 no.1
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    • pp.90-102
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    • 2008
  • Hydrogen storage is widely recognized as a critical enabling technology for the successful commercialization. There are a few different approaches for hydrogen storage technology. In this paper, characteristics of hydrogen storage technologies were analyzed from the literature survey. Also, The technology trend of hydrogen production was scrutinized based on patent analysis. In patent analysis the search range was limited to the open patents issued from 1996 to 2006. The technology trend of hydrogen storage was assessed by classifying each patent based on the publishing year, country, and the type of storage technology.

Research Trend of Home Economics Education since 7th Curriculum (7차 교육과정 이후 가정과 교과교육의 연구 동향)

  • 양정혜;신상옥
    • Journal of the Korean Home Economics Association
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    • v.41 no.11
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    • pp.61-72
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    • 2003
  • The purpose of this study is try to suggest the practical trend of Home Economics Education by analyzing the trends of subject matter education in it. To do this, this study analyzed 115 articles published on The Journal of Korea Home Economics Education Association and The Journal of Korean Home Economics Association. Through this analyzing them, it is found out that teaching-teaming method and teaching materials are trend to be mainly concerned. But recently evaluation study and teacher education study in Home Economics Education have been increased. As a result, Home Economics Education needs to develop the speciality of Home Economics Education as a subject matter education.

Research on the New Consumer Market Trend by Social Big data Analysis -Focusing on the 'alone consumption' association- (소셜 빅데이터 분석에 의한 신 소비시장 트렌드 연구 - '나홀로 소비' 연관어를 중심으로 -)

  • Choo, Jin-Ki
    • Journal of Digital Convergence
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    • v.18 no.2
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    • pp.367-376
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    • 2020
  • According to recent statistics on new consumer market trends, 'alone consumption' is at the center. This study focuses on the social big data that attracts the public's opinions in that it is important for a certain social trend to comprehensively understand the various fields such as society, locality, culture, marketing, economics, and psychology that form the background for it. Therefore, we set up the linkage of 'solo consumption' and conducted research on new consumer market trends using Opinion Analisys. As a result of this trend analysis, representative keywords such as 'honbab', 'honsul' and 'honyoeng' were derived and analyzed the trend of new consumer market using this data. Alone consumption is an inevitable new consumption trend caused by demographic change after the global economic crisis. The importance as a trend reflecting this will be further strengthened. Trend analysis by social big data will help scientific and systematic business distribution strategies and planning to help make new and valuable decisions and decisions about new consumer markets.

The Quality of Reporting of Intervention Studies in the Korean Journal of Women Health Nursing (KJWHN): Based on the TREND Guidelines (여성건강간호학회지에 게재된 중재 연구 논문보고의 질 평가: TREND 지침에 근거하여)

  • Kim, Myounghee;Cheon, Suk-Hee;Jun, Eun-Mi;Kim, Sue;Song, Ju-Eun;Ahn, Sukhee;Oh, Hyun-Ei;Lee, Eun-Joo
    • Women's Health Nursing
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    • v.19 no.4
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    • pp.306-317
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    • 2013
  • Purpose: This study was done to evaluate quality of reports of non-randomized controlled quasi-experimental study articles published in the Korean Journal of Women Health Nursing (KJWHN). Methods: A search was done for experimental studies assessing intervention effects among all articles published in the KJWHN from 2008 to 2013. Original articles were reviewed and analyzed according to the 22 checklist items of the guidelines for Transparent Reporting for Evaluations with Non-randomized Designs (TREND). Results: Thirty-five articles on experimental studies were identified. The evaluation of the quality of reporting in these experimental studies found that there was a wide variety in the level of satisfying the TREND checklist. In particular, according to TREND topics, low levels of reporting quality were found for "title & abstract (only for information on how units were allocated to the intervention)", "outcomes in methods", "assignment in methods", "blinding in methods", "recruitment in results", "baseline data in results", "interpretation in discussion (especially intervention mechanism and success or barriers), "generalizability in discussion". Conclusion: Results indicate that adherence to TREND guidelines varied in experimental studies published in the KJWHN suggesting the recommendation that for higher levels of complete reporting, TREND guidelines be used in reports on experimental studies.

The Effect of Prior Price Trends on Optimistic Forecasting (이전 가격 트렌드가 낙관적 예측에 미치는 영향)

  • Kim, Young-Doo
    • The Journal of Industrial Distribution & Business
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    • v.9 no.10
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    • pp.83-89
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    • 2018
  • Purpose - The purpose of this study examines when the optimism impact on financial asset price forecasting and the boundary condition of optimism in the financial asset price forecasting. People generally tend to optimistically forecast their future. Optimism is a nature of human beings and optimistic forecasting observed in daily life. But is it always observed in financial asset price forecasting? In this study, two factors were focused on considering whether the optimism that people have applied to predicting future performance of financial investment products (e.g., mutual fund). First, this study examined whether the degree of optimism varied depending on the direction of the prior price trend. Second, this study examined whether the degree of optimism varied according to the forecast period by dividing the future forecasted by people into three time horizon based on forecast period. Research design, data, and methodology - 2 (prior price trend: rising-up trend vs falling-down trend) × 3 (forecast time horizon: short term vs medium term vs long term) experimental design was used. Prior price trend was used between subject and forecast time horizon was used within subject design. 169 undergraduate students participated in the experiment. χ2 analysis was used. In this study, prior price trend divided into two types: rising-up trend versus falling-down trend. Forecast time horizon divided into three types: short term (after one month), medium term (after one year), and long term (after five years). Results - Optimistic price forecasting and boundary condition was found. Participants who were exposed to falling-down trend did not make optimistic predictions in the short term, but over time they tended to be more optimistic about the future in the medium term and long term. However, participants who were exposed to rising-up trend were over-optimistic in the short term, but over time, less optimistic in the medium and long term. Optimistic price forecasting was found when participants forecasted in the long term. Exposure to prior price trends (rising-up trend vs falling-down trend) was a boundary condition of optimistic price forecasting. Conclusions - The results indicated that individuals were more likely to be impacted by prior price tends in the short term time horizon, while being optimistic in the long term time horizon.