• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.06a
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• pp.205-209
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• 2009

Recently, the increase of the size of GNP and the expansion of the foreign tour opportunities by the common 5 days work system in a week, reaction of the burden for visiting foreign countries, and expansion of airlines caused the rapid increase of overseas tour but slow increase in the number of foreign tourists, due to the price rise which might impact on the competitive power, and lack of tour infrastructure and attractiveness. As the wide area along the east coast of GyeongBuk Province has great amount of cultural, ocean and natural resources, it helps to get focused the tour industries and maximize the synergy effect through the mutual development coupling the resources and regions. On the basis of the potentials for the growth of east coast area to the international level and the development of local resources, a ocean tour and resort complex for four seasons, which has s strong connection to the local areas resulting the wide tour bond, could help to improve the local economy and balance the development of local province, and furthermore, jump to the level of the center in the East Coast area in the international society. Through the investigation and analysis of the ocean space development status and usage at the advanced foreign countries, the new meaning of the ocean space at the tour and resort complex would be proposed to the relevant local government in fit.

• Journal of Korean Society of Forest Science
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• v.113 no.2
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• pp.170-186
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• 2024

This study was conducted to identify the usage characteristics of the DMZ Punchbowl Trail (DPT) as a national forest trail (NFT) and to estimate its ripple effects on the local economy. The objective of this study is to provide policy implications for sustainable operational management. Out of the 500 questionnaires distributed, 215 respondents provided their complete travel itineraries and expenditures. The respondents, mainly aged 50 and above and residing in the Seoul Metropolitan Area, spend 3.5 hours of travel time to the DPT. Together with their families, the respondents typically spend approximately 4 hours for leisurely activities, primarily appreciation of scenic views and relaxation by visiting the "O-yubatgil." Furthermore, they extend their travels to other parts of Gangwon Province, where the DPT is situated. Within Gangwon Province, Yanggu County is the most visited destination. The respondents reported a notably higher average expenditure per visitor compared with the typical local walking tourists. Estimates show that the DPT generates an annual average of KRW 2.1 billion in direct expenditure (based on an average of 10,000 visitors for over five years), KRW 2.8 billion in production, and KRW 1.3 billion in added value, and it has created 40 jobs in Gangwon Province. The results of this study lies in empirically determining the specific economic scale and ripple effects of DPT as an NFT in the major sector, which occupies a significant portion of the Gangwon Province's local economy. The results will be instrumental in validating NFT policies and informing policy making for sustainable forest utilization.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.155-175
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• 2017

As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

• Journal of Digital Contents Society
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• v.14 no.4
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• pp.521-528
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• 2013

Recently the increasing numbers of cars and traffic jamming makes air pollution condition more severely. Especially high-density population area, in most big cities like Bejing and Seoul, can lead to lung illness and other diseases. In this study to decrease this kind of air pollution condition, a method of air pollution information transmission is proposed. For the transmission of air pollution and traffic control data, international standard technology, the TPEG is applied.

• Journal of KIISE:Software and Applications
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• v.28 no.4
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• pp.380-387
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• 2001

본 논문에서는 대화체 번역을 위한 논항 구조에 기반한 한국어 분석에 대하여 기술한다. 논항구조 기반 문법은 순서에 관계없이 기술된다. 따라서 한국어 부분 자유 어순 특성으로 문법이 방대해지는 문제점을 해결할 수 있다. 또한, 서술어가 지배하는 논항이 문법으로부터 선택됨으로서 대화체가 갖는 특성인 간투어나 중복 발화 현상 등을 효과적으로 해결할 수 있다. 실험을 위하여 사용된 데이터는 ‘여행 안내’ 영역 중에서 1,335개의 훈련된 발화문과 420개의 훈련되지 않은 발화문이다. 실험 결과 훈련된 발화문에서는 99.7%, 훈련되지 않은 발화문에서는 93.3%의 분석 성공률을 보였다.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.627-632
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• 2006

최근 들어 인간과 컴퓨터 상호작용 분야에서 기존의 인지적인 측면 이외에 정서의 역할에 대한 관심이 증폭되고 있는 추세이다. 본 연구에서는 사용자가 좁은 화면을 통해 정보검색을 수행 할 때 정서 상태에 따라 정보 검색 패턴이 다른지 알아보고자 하였다. 실험참가자들의 정서 상태를 인위적으로 유도하기 위해 검색과제를 수행하기 전에 긍정적인 정서와 부정적인 정서를 유발시킬 수 있는 음악을 듣게 하였고 동시에 자신의 과거 기역으로부터 긍정적인 정서 혹은 부정적인 정서를 유발 시킬 수 있는 과제를 수행하도록 하였다. 정서 유발 과정이 끝난 뒤 각 실험 참가자들은 좁은 화면을 통해 정보 탐색 과제를 수행하였다. 정보 탐색 과제는 주어진 시간 동안 제시되는 나라들에 대한 여행 정보를 검색하는 것이었고 정보 검색이 이루어지는 동안 소요된 시간 및 검색 페이지 링크가 기록되었다. 실험결과 긍정적인 정서상태에서는 중립 상태와 부정적인 정서 상태에 비해서 보다 광범위하고 빠른 정보검색이 이루어지는 것으로 나타났다.

• Environmental and Resource Economics Review
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• v.11 no.1
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• pp.1-29
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• 2002

Faced with large scale of outdoor recreation resources and variety of demanders' desire, it would be necessary for the managers to estimate the values of individual attributes rather than a bundle of characteristics of outdoor recreation sites. By extending the Brown and Mendelsohn's (1984) approach we are able to estimate the beneficial effects of the improvement of individual attributes. Sampling 208 fishermen who visited 11 free fishing sites located in Daegu and Gyeongbuk, the functions of marginal willingness to pay for scenery and non-crowdedness were estimated. If 1 unit of scenery could be improved from its average value a fisherman, on average, would receive benefit of as much as 3,840 won. The average beneficial effect of the non-crowdedness improvement would amount to 2,220 won.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.361-363
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• 2014

본 논문에서는 디지털 기기를 나타내는 모바일과 아날로그를 나타내는 팝업북을 통해 각 지역의 유명한 광관 명소나 지역적인 정보를 표현하는 컨텐츠를 제시하고자 한다. 팝업북 각각의 페이지에는 그 지역의 지형을 아웃라인으로 만들고 그 안의 평면에 3D로 지형을 구현한다. 사람들이 가지고 있는 모바일로 관광책자 Application을 실행한 뒤 데이터베이스에 저장된 해당 지역 데이터를 전송받아 지역 페이지로 실시간으로 바뀌게 되고 Application 안에는 명소가 있는 지역이나 건물이 담겨있어 버튼을 터치하면 그 명소가 팝업북 안에 프로젝션 맵핑으로 보여지고 그 옆에는 교통수단 및 특산품 등 다양한 정보를 담을 수 있다. 이러한 프로세스를 통한 새로운 관광 책자로 사용자들은 제한적인 정보를 담고 있는 책자를 넘어 3D로 실시간으로 볼 수 있어 더 효과적으로 여행 정보를 얻을 수 있다.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.514-518
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• 2019

기존의 교차 도메인 추천은 일반적으로 서로 다른 도메인 데이터의 지식 결합이나 지식 공유를 바탕으로 진행된다. 이러한 방식들은 최소 한 개 이상의 도메인 데이터가 필요해서 모든 도메인의 피드백 데이터가 없는 실제 서비스 초기 상황에는 적합하지 않을 수 있다. 따라서 본 논문에서는 서비스 초반 모든 도메인의 피드백 데이터가 없고 콘텐츠 데이터만 존재하는 상황에서 교차 도메인 추천 시스템을 효과적으로 시작하기 위해 텍스트 임베딩, 클러스터링, 프로파일링 및 콘텐츠 기반 필터링을 활용한 추천 시스템 구성을 제안하고자 한다. 평가를 위해 여행지, 지역 축제, 공연을 포함하는 문화 관광 데이터와, 이에 대한 사용자 프로파일링 결과를 바탕으로 추천을 진행하였다. 그 결과, 콘텐츠 임베딩에 대한 유사도를 시각화하여 교차 도메인 아이템 간 유사성을 확인할 수 있었고, 사용자별 추천 결과를 통해 제안한 교차 도메인 추천 시스템이 유의미하게 동작함을 보였다.

• Journal of Korean Society of Transportation
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• v.25 no.6
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• pp.65-77
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• 2007

A two-way left-turn lane is a continuous center left-turn lane that could be used as a deceleration and refuge area for both directions of left-turning vehicles. TWLTL's have been used effectively for access management treatment when applied to a highway that has wide-spread left turning traffic demand and a high-density of side streets. In this study, an effective analysis was carried out using a computer-based simulation tool, VISSIM, in order to evaluate performance and safety effects of TWLTLs and develop a warrant. In conclusion, the results indicated that there was a remarkable decrease of through and left-turning vehicle travel time delay on the main road and improvement of traffic safety.