• Review of Culture and Economy
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• v.19 no.2
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• pp.29-50
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• 2016

This paper is to apply an individual travel cost method(TCM) to estimate demand functions for cultural services enjoyed by visiting 3 branches of the National Museum of Modern and Contemporary Art located in the Seoul Metropolitan area. This paper extends the standard TCM by incorporating opportunity costs of leisure time and two different data generating process - 398 respondents from an on-site survey and 600 respondents from a general household survey. Negative binomial models reflecting the non-negative integer nature of visiting frequency with over-dispersed variance were best fitted for demand functions, in which residents of Seoul metropolitan area surveyed from on the site exhibited higher visitation demand for the national art museum. Price elasticity and income elasticity differed by respondents' residency. Price elasticity of long distance visitors (-0.21) was more inelastic from those of Seoul residents (-0.34 ~ -0.5). Moreover, regional residents outside of Seoul area seemed to consider that services from the national art museum is a normal good with income elasticity of 0.5, whereas the Seoul residents seemed to perceive it to be an inferior good with income elasticity of -0.05.

• Journal of the Korean Institute of Landscape Architecture
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• v.26 no.3
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• pp.213-224
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• 1998

Theoretically and practically, it is very important to understand the way which tourist satisfaction is operated. The purpose of this study is to identify interaction among the determinants of tourist satisfacton process. A model of tourist satisfactioin process is developed based based on the confirmation / disconfirmation which is originated from consumer behavior literature. Three elements of the model include 'expectation','performance', and 'discrepancy between expectation and performance'. 340 questionnaires were delivered to find Everland visitors' perceptions of the determinants of tourist satisfaction. LISREL 8.14 was used to analyze the interaction among the determinants. The results are as follows : 1) 'expectation' has indirect effect on tourist satisfaction while 'performance' and 'discrepancy' has direct effect on the tourist satisfaction, 2) two precedent variables such as 'expectation' and 'performance' have indirect effect on the satisfaction through 'discrepancy',3) among the three determinants it is found that 'performance' is the most effective determinant of tourist satifaction, and 4) the model which was composed from the aspect of 'travel cost' was more effective to describing tourist satisfacton rather that from the aspect of 'service quality'.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.4
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• pp.33-49
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• 2019

The purpose of this study was to investigate the changes in the experiences of visitors of Yeonnam-dong during the period covering the development of a linear park, the Gyeongui Line Park. This study used a text mining technique to analyze Naver Blog postings of those who visited Yeonnam-dong from June 2013 to May 2017, divided into four periods -from June 2013 to May 2014, from June 2014 to May 2015, from June 2015 to May 2016 and from June 2016 to May 2017. The keywords used were 'Yeonnam-dong', 'Gyeongui Line' and 'Yeontral Park' and the data was further refined and resampled. A semantic network analysis was conducted on the basis of the co-occurrences of words. The results of the study were as follows. During the entire period, the main experience of visitors to Yeonnam-dong was 'food culture' consistently, but the activities related to 'market', 'browsing', and 'buy' increased. Also, activities such as 'walk', 'play' and 'rest' in the park newly appeared after the construction of the park. Moreover, more diverse opinions about the Yeonnam-dong were expressed on the blog, and Yeonnam-dong began to be recognized as a place where a variety of activities can be enjoyed. Lastly, when the visitors wrote about the theme 'food culture', the scope of the keywords expanded from simple ones, such as 'eat', 'photograph' and 'chatting' to 'market', 'browsing', and 'walk'. The sub-themes that appeared with the park also expanded to various topics with the emergence of the Gyeongui Line Book Street. This study analyzed the change of experiences of visitors objectively with text mining, a quantitative methodology. Due to the nature of text mining, however, the subjective opinions inevitably have been involved in the process of refining. Also, further research is required to assess the direct relationship between these changes and park construction.

• 농업기술회보
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• v.42 no.7 s.501
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• pp.39-44
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• 2005

2기 도시민 웰빙농사교육 호응/"도시민 웰빙농사" 수강소감/중국, 흑룡강성 동포 농촌간부 및 농촌지도자 협회방문/본회 조춘선,유승윤 2명의 지도위원 별세/ 사과 고품질 및 피롤농업 세미나 개최/제주 문시병,진천 이문희, 임실 이재연 3명 회우 조합장 당선/복분자·뽕나무(오디)·땅콩의 묘목 및 씨앗분양안내/초대 경 기도지부장 이영순 선생 방문

• The monthly packaging world
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• s.218
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• pp.114-116
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• 2011

• Korean Architects
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• s.540
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• pp.44-49
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• 2014

• Korean Journal of Plant Taxonomy
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• v.44 no.4
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• pp.281-287
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• 2014

The present study was conducted to understand the growth pattern, pollinators and their frequency of visits of Euphorbia helioscopia population which is located at Tongyoung areas in Korea. The vegetative parts of the species grow early in March, and flowering begins in the middle of the month, and pollination was completed at the mid of April. As a typical form of early spring type, the fruits of E. helioscopia were matured between early in April and May, and the upper parts of plants were disappeared between May and June. During the blooming season about 11 insects species which belong to Diptera, Hymenoptera, Coleoptera and Heteroptera were the most common groups found on this plants. Among them the species of Diptera are the most dominant pollinators for E. helioscopia which is concordant to previous reports in Euphorbia species. Despite of significant numbers of insect visitors in Euphorbia species being reported, E. helioscopia attracts only 11 insect species in study areas, and the paucity of species probably associates with the insect fauna in Tongyoung areas or typical patterns of early spring bloomer of Euphorbias. We observed majority of Diptera species to visit in the morning, and the frequency of visit decreased in the afternoon. Thus, it suggests that the visiting activity of Diptera species is not associated with the temperature increase which was reported in Euphorbia species. However, the number of the cyathium during the blooming season is likely to be related to the frequency of visit of pollinators in E. helioscopia.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10b
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• pp.66-70
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• 2006

웹은 단순한 텍스트와 이미지의 저장소에서 서비스의 제공자로 진화하고 있다. 사용자들은 자신이 필요로 하는 서비스를 찾기 위해 웹 검색을 이용한다. 그러나, 현재의 검색 엔진은 주어진 질의어에 대해 모든 사람들에게 보편적으로 타당한 문서에 높은 우선 순위를 부여해 검색 결과의 상위에 위치시키기 때문에, 사용자의 관심과는 무관한 정보가 검색 결과의 상위에 나타나게 되는 단점이 있다. 이러한 문제를 해결하기 위해 사용자의 방문 내역을 사용자 프로파일에 저장하여, 이후 검색에서 사용자가 방문했던 웹 페이지들에 높은 우선 순위를 부여하여 검색 결과의 상위에 위치시키는 방식이 사용되고 있다. 기존의 사용자 프로파일은 단순 방문 페이지와 사용자가 실제 서비스를 제공받은 페이지에 대한 구별없이, 모든 검색 세션에 대해 동일한 방문 내역을 저장하고 있다. 그러나 이 경우, 잦은 방문 횟수를 가지나 실제 사용자가 서비스를 이용하지 않은 웹 페이지가 적은 방문 횟수를 가지나 실제 사용자가 서비스를 이용한 웹 페이지보다 높은 우선 순위를 갖게 될 수 있는 문제점을 지니고 있다. 본 논문에서는 필요로 하는 서비스를 웹에서 찾고자 할 때, 사용자가 과거에 이용했던 서비스 제공자들의 목록을 이용하여, 사용자 프로파일 기반 웹 서비스 검색의 정확도를 향상시키는 시스템을 설계하였다. 이를 위해 사용자가 웹 서핑 중 서비스를 이용했던 웹 페이지 정보를 서비스 제공자 목록에 저장하였다. 검색 엔진이 특정 질의어에 대해 제공하는 검색 결과는, 우선 사용자 프로파일을 이용해 과거에 자주 방문했던 웹 페이지가 높은 우선 순위를 갖도록 조정된 후, 서비스 제공자 목록을 이용해 과거에 사용자가 서비스를 이용했던 웹 페이지가 가장 높은 우선 순위를 갖도록 재조정된다. 사용자에게 제공되는 최종 검색 결과는 사용자의 과거의 방문 경향 및 실제 서비스 이용 경향을 모두 반영하게 된다.고려할 때 가장 효과적인 라우팅 프로토콜이라고 할 수 있다.iRNA 상의 의존관계를 분석할 수 있었다.수안보 등 지역에서 나타난다 이러한 이상대 주변에는 대개 온천이 발달되어 있었거나 새로 개발되어 있는 곳이다. 온천에 이용하고 있는 시추공의 자료는 배제하였으나 온천이응으로 직접적으로 영향을 받지 않은 시추공의 자료는 사용하였다 이러한 온천 주변 지역이라 하더라도 실제는 온천의 pumping 으로 인한 대류현상으로 주변 일대의 온도를 올려놓았기 때문에 비교적 높은 지열류량 값을 보인다. 한편 한반도 남동부 일대는 이번 추가된 자료에 의해 새로운 지열류량 분포 변화가 나타났다 강원 북부 오색온천지역 부근에서 높은 지열류량 분포를 보이며 또한 우리나라 대단층 중의 하나인 양산단층과 같은 방향으로 발달한 밀양단층, 모량단층, 동래단층 등 주변부로 NNE-SSW 방향의 지열류량 이상대가 발달한다. 이것으로 볼 때 지열류량은 지질구조와 무관하지 않음을 파악할 수 있다. 특히 이러한 단층대 주변은 지열수의 순환이 깊은 심도까지 가능하므로 이러한 대류현상으로 지표부근까지 높은 지온 전달이 되어 나타나는 것으로 판단된다.의 안정된 방사성표지효율을 보였다. $^{99m}Tc$-transferrin을 이용한 감염영상을 성공적으로 얻을 수 있었으며, $^{67}Ga$-citrate 영상과 비교하여 더 빠른 시간 안에 우수한 영상을 얻을 수 있었다. 그러므로 $^{99m}Tc$-transierrin이 감염 병소의 영상진단에 사용될 수 있을 것으로 기대된다.리를 정량화 하였다. 특히 선조체에서의 도파민 유리에 의한 수용체 결합능의 감소는 흡연에 의한 혈중 니코틴의 축적 농도와 양의 상관관계를 보였다(rho=0.9, p=0.04). 결론: $[^{11}C]raclopride$ PET을 이용하여 비

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.13-24
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• 2022

SNS has become a very close service to our daily life. As marketing is done through SNS, places often called hot places are created, and users are flocking to these places. However, it is often crowded with a large number of people in a short period of time, resulting in a negative experience for both visitors and service providers. In order to improve this problem, it is necessary to recognize the congestion level, but the method to determine the congestion level in a specific area at an individual level is very limited. Therefore, in this study, we tried to propose a system that can identify the congestion level information and the characteristics of visitors to a specific tourist destination by using the data on the SNS. For this purpose, posting data uploaded by users and image analysis were used, and the performance of the proposed system was verified using the Naver DataLab system. As a result of comparative verification by selecting three places by type of tourist destination, the results calculated in this study and the congestion level provided by DataLab were found to be similar. In particular, this study is meaningful in that it provides a degree of congestion based on real data of users that is not dependent on a specific company or service.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.43-53
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• 2023

In this detailed and comprehensive study, our primary focus has been placed on accurately gauging the number of visitors and their real-time locations in commercial spaces. Particularly, in a real cafe, using security cameras, we have developed a system that can offer live updates on available seating and predict future congestion levels. By employing YOLO, a real-time object detection and tracking algorithm, the number of visitors and their respective locations in real-time are also monitored. This information is then used to update a cafe's indoor map, thereby enabling users to easily identify available seating. Moreover, we developed a model that predicts the congestion of a cafe in real time. The sophisticated model, designed to learn visitor count and movement patterns over diverse time intervals, is based on Long Short Term Memory (LSTM) to address the vanishing gradient problem and Sequence-to-Sequence (Seq2Seq) for processing data with temporal relationships. This innovative system has the potential to significantly improve cafe management efficiency and customer satisfaction by delivering reliable predictions of cafe congestion to all users. Our groundbreaking research not only demonstrates the effectiveness and utility of indoor location tracking technology implemented through security cameras but also proposes potential applications in other commercial spaces.