• Journal of Information Processing Systems
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• v.18 no.2
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• pp.292-292
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• 2022

• Journal of the Korean Home Economics Association
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• v.35 no.4
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• pp.31-46
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• 1997

The controversy between Lewis and Spanier's theory and Thomas and kleber's theory on marital satisfaction and marital stability was tested empirically. The results show that while marital satisfaction was the best predictor for marital stability the impact of alternative attractions and external pressures to remaim married was more complicated than both theories predicted depending on the nature of alternative attractions. Thomas and Kleber's theory was supported in most of groups Contrary to Lewis and Spanier's theory alternative atteractions did not negatively affect marital stability of marriages of high qulity. Contrary to both theories external pressures to remain married was not an important predictor of marital stability . In some cases high external pressures to remain married even lowered marital stability. The validity of both theories are discussed.

• The Journal of Information Technology
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• v.3 no.4
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• pp.41-53
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• 2000

The Purpose of this is to examine the relation verween tourist motibation and attribute of attractions closely. The tourist morivationmade a practical application of the functional theory, Which is one of the theories explaining an attitude and a change in attitude, and was catagorized. the potential tourists full of the natural attributes, n in the full of pursuit of the cultural attributes, vut in the fewest pursuit of the attributes of attractions such as low price and convenient transportation .

• Culinary science and hospitality research
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• v.2
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• pp.25-46
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• 1996

The clients of hotel desire to be recognized as special persons who have their own personality and self-consciousness. The other hand, The hotel concentrates upon marketing strategy which acts a part of expanding sales. Namely, They find out the need of client, satisfy the desired need, ensure and manage the existing regular customers and make new clients regular customers. So they gain an advantage over competitive hotels. They make strategics of Telemarketing technique which is one of the developed-marketing techniques, can provide distinctive and familiar service and have an hight effect at the low cost. The attractions of Telemarketing strategy can be explained as follows. 1. It is the medium that have cost efficiency. 2. It possesses attractions to do time management. 3. It has control cash flow. 4. It can improve cash flow. 5. Market expansion can be accomplished. 6. It is a medium fit for prospecting over long-term period. 7. It can improve customer relations. 8. It fits seasonality (seasonal sales) 9. It brings greater order volume. 10. It benefits from lower personnel costs. 11. High volume productivity is realized. 12. It has attraction of versatility. 13. It has ease of start-up.

• Journal of the Korean Home Economics Association
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• v.31 no.2
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• pp.81-96
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• 1993

The purpose of this study is to investigate how external pressures to remain married and alternative attractions to a marriage influence the relationship between marital satisfaction and marital stability. A total of 228 married women in Seoul responded to structured questionnaires. The major findings are as follows; 1. While the marital satisfaction is positively associated with the marital stability, the alternative attractions to a marriage are negatively associated with the marital stability. But there is no significant correlation between external pressures to remain married and marital stability. 2. The relationship strength between marital satisfaction and marital stability according to the level of external pressures to remain married and actual alternatives to a marriage is not appeared significant difference. 3. When the external pressures to remain marred are low and the imaginary alternatives to a marriage are low, marital satisfaction is the most powerful predictor of marital stability. 4. Whether wife has a job and marital satisfaction affected the marital stability independently.

• Proceedings of the Korea Database Society Conference
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• 2008.05a
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• pp.477-486
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• 2008

This paper examines the evolution issues of regional tourism resources in complicated and networked industry the perspective of co-evolution types and dualism. Regional tourism structure has been changing more and faster according to various attractions and internal and external environment; natural resources, facilities, festivals and events, drama and movies, and public resources, etc. This paper approaches Olikowski's dualism perspective as a theoretical view about the alliance network between region's attractions and tourism industry in Korea. Exploratory analysis was explained the dualism cases performed on the matrix between resource characteristics and alliance complexity on human resources based on regional tourism industry.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.81-87
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• 2018

It is common practice to display high-quality video images on the large display among the methods of developing tourist attractions and culture in the region as experience contents differentiation is required. This paper combines the local attractions with the OLED dual layer display system and the extended image implementation and augmented interaction technique to give the experiencer a realistic space, such as directing to new experiences and beautiful sights. In this paper, we added UI layer to additional layers of images to enable users to experience sightseeing information, weather, maps, accommodation, festivals and photo materials with images. It is implemented to add fun through interlocking. We also developed transparent OLED and dual layer panel and 3-channel multi-image playback technique.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.238-242
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• 2021

Through diversification of 4th industries and transportation and globalization, tourism was developed for medical purposes, not limited to touring tourist attractions. The trend of medical tourism in Korea is shifting from large and medium-sized hospitals to professional medical services in one area of small hospitals rather than professional medical services. However, small hospitals lack medical coordinators and interpretation services, and tourists who visit Korea for treatment lack information on small hospitals. Therefore, a platform is needed to match small hospitals with medical tourists. In this study, using Platform as a Service (Paas) in cloud computing, clinic administrators can access the app to introduce information about their hospitals with simple manipulations. Tourists also want to propose a customized platform to select the right area for them to check information about small-scale hospitals and choose the treatment and tourist attractions they wants. In this study, using Platform as a Service (Paas) in cloud computing, clinic administrators can access the app to introduce information about their hospitals with simple manipulations.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.61-68
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• 2021

The development of the fourth industry has enabled users to quickly share a lot of data online. We can analyze big data on information about tourist attractions and users' experiences and opinions using artificial intelligence. It can also analyze the association between characteristics of users and types of tourism. This paper analyzes individual characteristics, recommends customized tourist sites and proposes a system to provide the sacred texts of recommended tourist sites as AR services. The system uses machine learning to analyze the relationship between personality type and tourism type preference. Based on this, it recommends tourist attractions according to the gender and personality types of users. When the user finishes selecting a tourist destination from the recommendation list, it visualizes the information of the selected tourist destination with AR.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.190-198
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• 2023

Sentiment analysis can be applied to all texts generated from websites, blogs, messengers, etc. The study fulfills an artificial intelligence sentiment analysis estimating visiting evaluation opinions (reviews) and visitor ratings, and suggests a deep learning model which foretells either an affirmative or a negative inclination for new reviews. This study operates review big data about Jeju tourist attractions which are extracted from Google from October 1st, 2021 to November 30th, 2021. The normalization data used in the propensity prediction modeling of this study were divided into training data and test data at a 7.5:2.5 ratio, and the CNN classification neural network was used for learning. The predictive model of the research indicates an accuracy of approximately 84.72%, which shows that it can upgrade performance in the future as evaluating its error rate and learning precision.