• 한국콘텐츠학회논문지
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• 제11권2호
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• pp.416-424
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• 2011

본 연구에서는 지역주민의 관광산업 관련성과 관광개발 인식이 관광영향에 어떤 영향을 미치고, 그에 따른 관광영향 지각이 지역주민의 관광정책 참여의도에 어떤 영향을 미치는 가에 대한 관계를 규명하였다. 지역주민의 관광산업 관련정도는 지역축제 영향지각 중에서 경제적 영향과 사회문화적 영향에 유의한 영향을 미치며, 환경적 영향에는 통계적으로 유의하지 않은 것으로 나타났다. 지역주민의 관광개발수준에 대한 지각정도는 지역축제 영향지각 각각에 통계적으로 유의한 영향을 미치며, 영향력의 크기는 환경적 영향이 가장 크고, 관광정책 참여의도, 사회문화적 영향, 경제적 영향의 순으로 나타났다. 지역주민의 관광영향지각 요인과 관광정책 참여의도 간의 관계는 사회문화적 요인만이 관광정책 참여 의도에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 이러한 결과는 관광개발의 관광영향과 차이가 있을 것으로 예상된다. 향후 연구에서는 관광개발의 영향 지각을 대상으로 한 연구가 필요하다.

• 유통과학연구
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• 제12권8호
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• pp.103-112
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• 2014

Purpose - There have been local government systems since June 1955. Many local governments have made use of festivals for regional public relations and the achievement of competitiveness. This study analyzes effective components of local festivals. There has been extensive research in relation to variables such as participation motivation, satisfaction level, recall intention, royalty, and recommend purpose. However, as a variable factor, attachment to the participation motivation of a festival has been overlooked along with support level to a festival. This study has added new variables named "attachment to local society" and "support level," which are dependent variables. We will study the relationship of these two variables. Research design, data, and methodology - This study has devised a cause-and-effect relationship model, which deduces that local residents' participation motivation for the festival will have positive influence on the festival support level and satisfaction level. We circulated questionnaires to local residents to get the data required to prove the hypothesis. To analysis the data, we used SPSS 21.0, and accomplished basic analysis through the analysis of frequency as well as descriptive statistical analysis. Further, we verified our measurement tools through reliability analysis, and examined the research hypothesis through multiple regression analysis. Results - With regard to the festival satisfaction level, the variables of local society attachment, festival attraction, escaping from the daily life, and family harmony have influence upon a positive effect (+) in this order. Among them, the variable of local society attachment has the greatest influence. However, in respect of support level for the festival, only the variables of local society attachment and escaping from the daily life have a valid influence on the positive effect (+), and local society attachment has relatively greater influence. In addition, not only does the festival satisfaction level affect the support level for the festival in terms of positive effect, the influence is also far-reaching, which verifies the mediating effect. Conclusions - The result shows that the local residents' satisfaction level with the Yudalsan Mountain Spring Flower Festival is comparatively high, which is due to the local society attachment. It also shows that it is difficult to create support without local residents' attachment with their area. Consequently, this study insists that the Yudalsan Mountain Spring Flower Festival should exceed its limitation as just a village-level party, in order to become a remarkable and outstanding festival, and suggests three operational implications: macro-environmental development, task environment development, and internal operational environmental development. From the macro-environmental perspective, the constant development of local culture and local business is proposed. In the task environment perspective, a new functional development for the festival is proposed. From the internal operational environmental perspective, improvements in festival operation methods are proposed. If these weak points are addressed and resolved through a more detailed approach, it will be very helpful for local government systems to operate the festival.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2001년도 추계학술대회
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• pp.13-16
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• 2001

We compare methods for detecting influential observations that have a large influence on the likelihood ratio test statistics that the two sets of variables are uncorrelated with one another. For this purpose we derive results of the deletion diagnostic, the influence function, the standardized influence matrix and the local influence. An illustrative example is given.

• Journal of the Korean Data and Information Science Society
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• 제6권1호
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• pp.63-71
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• 1995

We have consider the study of local influence for smoothing parameter estimates in spline regression model with heteroscedasticity. Practically, generalized cross-validation does not work well in the presence of heteroscedasticity. Thus we have proposed the local influence measure for generalized cross-validation estimates when errors are heteroscedastic. And we have examined effects of diagnostic by above measures through Hyperinflation data.

• 동아시아식생활학회지
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• 제24권6호
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• pp.906-914
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• 2014

This study conducted an exploratory factor analysis to examine how consumers' confidence on the local foods used at tasty farm eateries influence their purchase behaviors. The four factors of perception of local foods used at tasty farm eateries and the factors of consumer confidence and purchase behaviors were extracted for a reliability analysis, correlation analysis of variables, and simple and multiple regression analysis. The following are the findings: first, among the four factors of perception of local foods used at tasty farm eateries, safety, sociality and product value had statistically significant influences on consumer confidence, whereas regional economic value did not. In other words, safety referring to the nutritional value and sanitary safety of food ingredients used for the native foods at the tasty farm eateries, product value referring to the characteristics differentiated from general Korean cuisine, and sociality referring to the various related experiences for the interests in farm culture and local food, leads to consumer confidence, whereas regional economic value referring to farm household income, local job creation, and development of farm tourism does not. Second, consumer confidence had a statistically significant positive impact on consumers' purchase behaviors. Among the five principles of local foods, reliability is the most important factor. When consumers gain confidence on local food items and are satisfied with them, they make additional purchases and revisits. Therefore, confidence is a very important aspect for the loyalty and sustainability of business.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.961-969
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• 2021

The study aimed to investigate the level of customer trust, loyalty, and re-purchase intention of coastal tourism in Thailand during the COVID-19 crisis; to test the different levels of customer trust, loyalty, and re-purchase intention by local tourists between East-side and West-side coasts of Thailand; and to examine the influence of customer trust and loyalty on re-purchase intention in coastal tourism. Using multistage sampling, this study sampled 487 Thai local tourists who had experienced coastal tourism in Thailand during the COVID-19 crisis. A questionnaire, descriptive analysis, independent sample t-test, correlation matrix, and multiple regression analysis were used to collect and analyze the data. All customer trust, loyalty, and re-purchase intentions in coastal tourism by local tourists were at a high level. There were significantly different levels of customer trust, loyalty, and re-purchase intentions by local Thai tourists between the East-side and West-side coasts of Thailand. Moreover, the study found that there was a significant positive influence of customer trust and loyalty on re-purchase intentions in coastal tourism by local tourists in Thailand during the COVID-19 crisis. This study indicates that Thai tourism industry still must develop and improve its local customer loyalty and trust because these positively influence customer re-purchase intentions.

• Communications for Statistical Applications and Methods
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• 제10권2호
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• pp.519-524
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• 2003

We suggest a method of identifying outliers, using local influence, in regression when linear constraints are imposed on the regression coefficients. An example is given for illustration.

• Asian Journal of Atmospheric Environment
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• 제8권2호
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• pp.69-80
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• 2014

It is often assumed that atmospheric observations at remote sites represent long-range transport of airborne material, and local influences are overlooked. We evaluated the impact of local input on the rainwater composition at Gosan Station, a strategic site for monitoring the continental outflow from Asia. We analyzed a 14-year record of rainwater chemical composition archived by the Korea Meteorological Administration and detected local terrestrial contribution for nitrate, sulfate and ammonium. We also measured the chemical composition of rainwater sampled simultaneously at multiple locations within the premises of the Gosan Station, from which local influence with meter-scale spatial heterogeneity could be discerned. We estimate that the local input accounted for at least ~10% of the wet deposition of nitrogen and ~12% of the wet deposition of sulfur during the 14 years. This highlights the significance of the local influence, which should be carefully assessed when interpreting atmospheric observations at this site.

• Communications for Statistical Applications and Methods
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• 제8권2호
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• pp.347-355
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• 2001

We propose a method for detecting influential observations that have a large influence on the likelihood ratio test statistic for the two sets of variables are uncorrelated with one another. For this purpose we derive a local influence measure for the likelihood ratio test statistic under certain perturbation scheme. An illustrative example is given to show the effectiveness of the proposed method on the identification of influential observations.

• 대한전자공학회논문지SP
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• 제49권3호
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• pp.67-73
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• 2012

지역적인 영상의 색변환이란 영상에서 특정 색을 포함하는 영역을 추정하고 이를 원하는 색으로 변환시키는 것이다. 기존방법에서는 색차만을 이용해서 바꾸고자 하는 색을 포함하는 영역을 추정하고 이를 변환하였다. 따라서 변환되는 색 주변에서 원하지 않는 색결점(color artifact)이 나타나게 되었다. 제안한 방법에서는 이러한 색결점을 줄이기 위해 컬러 카테고리 맵과 수정된 color influence map을 결합한 지역적인 색변환 방법을 제안하였다. 컬러 카테고리 맵은 모든 색을 사람의 인지를 기반으로 11가지의 컬러 카테고리로 나눈 것으로서, 컬러 정보만을 이용해서 먼저 바꾸고자하는 색을 포함한 입력 영상의 지역 영역을 대략적으로 추정한다. 다음으로, 수정된 color influence map을 이용하여 인접한 영역의 색을 고려한 색변환 정도를 계산한다. 기존의 방법처럼 단순히 동일한 가중치를 주는 색차보다는 밝기와 색도에 서로 다른 가중치를 주어 수정된 color influence map을 계산하였다. 마지막으로 각각의 컬러 카테고리 맵과 수정된 color influence map에 가중치를 결합하여 지역적인 영상의 색변환을 수행하였다. 실험을 통해 제안한 방법과 기존의 색변환 방법의 결과 영상을 비교해 보았으며, 제안한 방법에서 색결점이 적게 나타나는 것을 확인할 수 있다.