• The Journal of the Korea Contents Association
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• v.7 no.3
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• pp.152-159
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• 2007

Because of geographical reason, Jeju dialect has more unique features than other cities' dialects. In addition, Jeju dialect is one of the important research topics in Korean Linguistics due to archaic words before 15th century. However, the research works about Jeju dialect related to tourism are rare unfortunately Also, the tourism contents of Jeju dialect are rare. Thus, in order to activate and inform the tourists about Jeju dialect, the development of tourism contents about Jeju dialect is necessary. In this paper, we develop the tourism contents about Jeju dialect which are divided into several situations to help the tourists' understanding. The developed digital contents run in multiplatforrns such as PDAs, cellular phones, and the Internet web site.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1187-1192
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• 2022

Gangwon-do is a representative leisure resort. However, the provision of tourism information has not escaped the existing image- and text-oriented simplicity. Therefore, a linkage strategy for the content business is needed to revitalize tourist attractions. In this paper, first, we provide a 360-degree rotating VR content authoring function. Second, we propose a dynamic platform including a function that allows users to easily author tour scheduling after registering VR content on a map. Finally, the proposal system provides pre-tourism customers with an opportunity to increase satisfaction by providing online pre-experience.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.117-128
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• 2017

This study aims to propose measures to consistently induce Chinese tourists who represent the largest percentage of inbound tourism from foreign countries, utilizing raw data of 2015 Korea International Visitor Survey conducted by the Korea Culture & Tourism Institute under the Ministry of Culture, Sports and Tourism. Differences and influence factors for overall satisfaction on travel in Korea, intention to revisit Korea, and intention to recommendation were analyzed by demographic characteristics and tourism characteristics of Chinese consumers. As a result of analysis study, it came out that there are differences between overall satisfaction on travel in Korea and intention to revisit Korea by age and job of demographic characteristics. Among the tourism characteristics, there are differences in intention to revisit Korea depending on purpose of travel, intention to revisit Korea and recommendation according to route of travel information search, and there are differences in all three categories according to type of travel. The most important factor of all three category was identified as 'Food' factor and the second most influential factors were immigration procedures, security, and tourist attractiveness. It is suggested that more active research and improvement efforts are needed in the government, industry, and academia in order to attract Chinese tourists in the future.

• Journal of Radiation Protection and Research
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• v.29 no.2
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• pp.141-150
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• 2004

Dose rate characteristics of cosmic radiation field at flight altitudes were analyzed and the route doses to the personnels on board due to cosmic-ray were calculated for Korean-based commercial international airline routes using CARI-6. Annual individual doses to aircrew and the collective effective dose of passengers were estimated by applying the calculated route doses to the flight schedules of aircrew and the air travel statistics of Korea. The result shows that the annual doses to aircrew, around 2.62 mSv, exceed the annual dose limit of public and are comparable to doses of the group of workers occupationally exposed. Therefore it is necessary to consider the frequent flyers as well as the aircrew as the occupational exposure group. The annual collective dose to 11 million Korean passengers in 2001 appeared to be 136 man-Sv. The results should be modified when the dose rates of cosmic radiation at high altitude are revised by taking into account the changes in the radiation weighting factors for protons and neutrons as given in ICRP 92.

• Journal of Korean Society of Forest Science
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• v.110 no.4
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• pp.711-723
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• 2021

During the COVID-19 pandemic, social distancing affected daily life and leisure activities, including forest recreational activities. This study identified changes in people's participation in forest recreational activities and factors affecting their participation. It collected data from 1,000 samples through an online survey and analyzed it using a binary logit model with interaction terms. It was observed that there were decreases in the participation in visits to urban parks and green areas, outdoor activities in forests and mountains, and trips to mountain villages after the COVID-19 outbreak. People in their 40s, 50s, and 60s were more likely to decrease their participation in all kinds of forest recreational activities than those in their 20s. Moreover, higher household income earners were more likely to decrease their involvement in outdoor activities in forests and mountains. With respect to the place of residence, the residents in the Seoul metropolitan area were less likely to decrease their participation in trips to mountain villages than those outside this area. Thus, this study suggests that online forest recreation information services and forest management are needed to meet the demands of forest recreation for young generations and diversify the function of forests and rural areas as a safe leisurely space.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.147-157
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• 2010

With the immergence of the iPhone, the interest in Smartphones is getting higher as services can be provided directly between service providers and consumers without the network operators. As the number of international tourists increase, individual tourists are also increasing. According to the WTO's (World Tourism Organization) prediction, the number of international tourists will be 1.56 billion in 2020,and the average growth rate will be 4.1% a year. Chinese tourists, in particular, are increasing rapidly and about 100 million will travel the world in 2020. In 2009, about 7.8 million foreign tourists visited Korea and the Ministry of Culture, Sports and Tourism is trying to attract 12 million foreign tourists in 2014. A research institute carried out a survey targeting foreign tourists and the survey results showed that they felt uncomfortable with communication (about 55.8%) and directional signs (about 21.4%) when they traveled in Korea. To solve this inconvenience for foreign tourists, multilingual servicesfor traffic signs, tour information, shopping information and so forth should be enhanced. The appearance of the Smartphone comes just in time to provide a new service to address these inconveniences. Smartphones are especially useful because every Smartphone has GPS (Global Positioning System) that can provide users' location to the system, making it possible to provide location-based services. For improvement of tourists' convenience, Seoul Metropolitan Government hasinitiated the u-tour service using Kiosks and Smartphones, and several Province Governments have started the u-tourpia project using RFID (Radio Frequency IDentification) and an exclusive device. Even though the u-tour or u-tourpia service used the Smartphone and RFID, the tourist should know the location of the Kiosks and have previous information. So, this service did not give the solution yet. In this paper, I developed a new convenient service which can provide location based information for the individual tourists using GPS, WiFi, and 3G. The service was tested at Insa-dong in Seoul, and the service can provide tour information around the tourist using a push service without user selection. This self-tour service is designed for providing a travel guide service for foreign travelers from the airport to their destination and information about tourist attractions. The system reduced information traffic by constraining receipt of information to tourist themes and locations within a 20m or 40m radius of the device. In this case, service providers can provide targeted, just-in-time services to special customers by sending desired information. For evaluating the implemented system, the contents of 40 gift shops and traditional restaurants in Insa-dong are stored in the CMS (Content Management System). The service program shows a map displaying the current location of the tourist and displays a circle which shows the range to get the tourist information. If there is information for the tourist within range, the information viewer is activated. If there is only a single resultto display, the information viewer pops up directly, and if there are several results, the viewer shows a list of the contents and the user can choose content manually. As aresult, the proposed system can provide location-based tourist information to tourists without previous knowledge of the area. Currently, the GPS has a margin of error (about 10~20m) and this leads the location and information errors. However, because our Government is planning to provide DGPS (Differential GPS) information by DMB (Digital Multimedia Broadcasting) this error will be reduced to within 1m.

• Information Systems Review
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• v.23 no.3
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• pp.51-75
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• 2021

Global e-commerce websites offer personalized recommendation services to gain sustainable competitiveness. Existing studies have offered personalized recommendation services using quantitative preferences such as ratings. However, offering personalized recommendation services using only quantitative data has raised the problem of decreasing recommendation performance. For example, a user gave a five-star rating but wrote a review that the user was unsatisfied with hotel service and cleanliness. In such cases, has problems where quantitative and qualitative preferences are inconsistent. Recently, a growing number of studies have considered review data simultaneously to improve the limitations of existing personalized recommendation service studies. Therefore, in this study, we identify review and rating mismatches and build a new user profile to offer personalized recommendation services. To this end, we use deep learning algorithms such as CNN, LSTM, CNN + LSTM, which have been widely used in sentiment analysis studies. And extract sentiment features from reviews and compare with quantitative preferences. To evaluate the performance of the proposed methodology in this study, we collect user preference information using real-world hotel data from the world's largest travel platform TripAdvisor. Experiments show that the proposed methodology in this study outperforms the existing other methodologies, using only existing quantitative preferences.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.3
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• pp.64-70
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• 2004

Korean and Japanese have same structure of sentences because they belong to same family of languages. So, The transfer driven machine translation is most efficient to translate each other. This paper introduce a method which creates a transfer dictionary for Token Based Transfer Driven Koran-Japanese Machine Translation(TB-TDMT). If the transfer dictionaries are created well, we get rid of useless effort for traditional parsing by performing shallow parsing. The semi-parser makes the dependency tree which has minimum information needed output generating module. We constructed the transfer dictionaries by using the corpus obtained from ETRI spoken language database. Our system was tested with 900 utterances which are collected from travel planning domain. The success-ratio of our system is $92\%$ on restricted testing environment and $81\%$ on unrestricted testing environment.

• Journal of KIISE:Software and Applications
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• v.37 no.9
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• pp.706-711
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• 2010

In the applications of a human speech interface, reducing the error rate in recognition is the one of the main research issues. Many previous studies attempted to correct errors using post-processing, which is dependent on a manually constructed corpus and correction patterns. We propose an automatically learnable post-processing method that is independent of the characteristics of both the domain and the speech recognizer. We divide the entire post-processing task into two steps: error detection and error correction. We consider the error detection step as a classification problem for which we apply the conditional random fields (CRFs) classifier. Furthermore, we apply transformation-based learning (TBL) to the error correction step. Our experimental results indicate that the proposed method corrects a speech recognizer's insertion, deletion, and substitution errors by 25.85%, 3.57%, and 7.42%, respectively.

• Journal of Korean Society of Transportation
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• v.17 no.3
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• pp.47-60
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• 1999

In this study, the dynamic route choice behavior of driver is assumed to be affected by the current conditions of traffic environments as well as the Past traffic environments and activities. The repeated survey of multi-timed to owner drove in Chon-ju city by the virtual traffic information system was performed by the stated preference method. And the LISREL(An analysis of linear structural relationship) model was used. As the results. the variable Parameter and t-value of travel time information on applied model was high and their results have an effect greatly to the route choice. After all, the route choice was negative from Kirin-ro, which Penetrates the downtown, and positive from Chunbyun-ro which was a roundabout way was confirmed. Estimated result of the reasonability, the highest suitable model was ode which applied the concept of serial correlation and stated dependence and was shown applying rightfulness to dynamic model. As the serial correlation and stated dependence parameter value, when time interval was large, parameter value was small and the serial correlation and stated dependence was in inverse proportion ratio to the time interval.