• Culinary science and hospitality research
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• v.19 no.5
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• pp.36-48
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• 2013

The purpose of this study is to figure out how the recognition for Jeonju hanok village would influence the traditional cultural images and the level of satisfaction with traditional Korean cuisine restaurants. A survey for this study was done from June $1^{st}$ to June $16^{th}$, 2013 to those who had visited traditional Korean restaurants in the Korea traditional village, except Jeonju citizens. The result are as follows. First, there are three factors settled as the recognition factors for the Korea traditional village, which are food factors, Korean traditional beauty factors, and historicity factors. Also, there are two image factors settled, which are traditional image factors and cultural image factors. These factors are verified for the hypothesis. Second, for "The recognition for the Korea traditional village would influence the cultural image" from hypothesis 2, it is accepted as the food factors are found to have the greatest influence. Third, as a result of the hypothesis 3, "The recognition for traditional cultural image would influence the level of satisfaction with traditional Korean cuisine restaurants," it is accepted as the Korean traditional beauty factor has the greatest influence. For the future studies, various studies for restaurant satisfaction levels for each type of restaurant should be conducted and many efforts for maintaining good images for better satisfaction with traditional Korean restaurants are highly required.

• Journal of the Korean Society of Food Culture
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• v.25 no.3
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• pp.270-284
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• 2010

The objective of this study was to familiarize people with the native local food of Chungnam Province by developing its regional food as a culture resource. Native Local Food Search and luxury itemization based on regionally-characterized stories enhances self-perception of the national culture, promotes appropriate local images to the public, and contributes to the local economy by increasing regional tourism. Therefore, this study researched local stories of cultural significance, that is, those connected to the history and originality of Chungnam Province, and developed contents related to Chungnam native local food. Features of the native local food were introduced by a story telling method in order to appeal to the five senses. The story was composed for easy understanding of the value of food, and the brand image of Chungnam was developed based on representative historical stories of the region. In this study, the following were developed as representative images of Chungnam: 'Royal meal table of King Moo-ryung' in Kongju was presented by recomposing the story of King Moo-ryung, a famouns king of the Baekje era; 'Mong-yoo-do-won's rice meal table' was introduced via Mongyoo-do-won's painting by Kyeon An, a famous painter of the Chosun era who was born in Seosan. The 'Royal meal table of King Moo-ryung' was set with food made from local farm products, demonstrating the flavor and elegance of the Baekje era. 'Mong-yoo-do-won's rice meal table' resembled Kyeon An's Mong-yoo-do-won-do, which has a background featuring early spring. The rice table was designed to remind people of a flamboyant painting like a scattered peach blossom leaf in the early spring. To verify the health effectiveness of each rice table, the function of each ingredient was investigated through 'Sik-ryo-chan-yo:a dietary treatment', which was published by Soon-Ui Cheon during the Chosan era. According to the results, most of ingredients are certainly beneficial to health, as was recognized in the early Choson era.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.159-185
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• 2016

Planning a multi-day trip is a complex, yet time-consuming task. It usually starts with selecting a list of points of interest (POIs) worth visiting and then arranging them into an itinerary, taking into consideration various constraints and preferences. When choosing POIs to visit, one might ask friends to suggest them, search for information on the Web, or seek advice from travel agents; however, those options have their limitations. First, the knowledge of friends is limited to the places they have visited. Second, the tourism information on the internet may be vast, but at the same time, might cause one to invest a lot of time reading and filtering the information. Lastly, travel agents might be biased towards providers of certain travel products when suggesting itineraries. In recent years, many researchers have tried to deal with the huge amount of tourism information available on the internet. They explored the wisdom of the crowd through overwhelming images shared by people on social media sites. Furthermore, trip planning problems are usually formulated as 'Tourist Trip Design Problems', and are solved using various search algorithms with heuristics. Various recommendation systems with various techniques have been set up to cope with the overwhelming tourism information available on the internet. Prediction models of recommendation systems are typically built using a large dataset. However, sometimes such a dataset is not always available. For other models, especially those that require input from people, human computation has emerged as a powerful and inexpensive approach. This study proposes CYTRIP (Crowdsource Your TRIP), a multi-day trip itinerary planning system that draws on the collective intelligence of contributors in recommending POIs. In order to enable the crowd to collaboratively recommend POIs to users, CYTRIP provides a shared workspace. In the shared workspace, the crowd can recommend as many POIs to as many requesters as they can, and they can also vote on the POIs recommended by other people when they find them interesting. In CYTRIP, anyone can make a contribution by recommending POIs to requesters based on requesters' specified preferences. CYTRIP takes input on the recommended POIs to build a multi-day trip itinerary taking into account the user's preferences, the various time constraints, and the locations. The input then becomes a multi-day trip planning problem that is formulated in Planning Domain Definition Language 3 (PDDL3). A sequence of actions formulated in a domain file is used to achieve the goals in the planning problem, which are the recommended POIs to be visited. The multi-day trip planning problem is a highly constrained problem. Sometimes, it is not feasible to visit all the recommended POIs with the limited resources available, such as the time the user can spend. In order to cope with an unachievable goal that can result in no solution for the other goals, CYTRIP selects a set of feasible POIs prior to the planning process. The planning problem is created for the selected POIs and fed into the planner. The solution returned by the planner is then parsed into a multi-day trip itinerary and displayed to the user on a map. The proposed system is implemented as a web-based application built using PHP on a CodeIgniter Web Framework. In order to evaluate the proposed system, an online experiment was conducted. From the online experiment, results show that with the help of the contributors, CYTRIP can plan and generate a multi-day trip itinerary that is tailored to the users' preferences and bound by their constraints, such as location or time constraints. The contributors also find that CYTRIP is a useful tool for collecting POIs from the crowd and planning a multi-day trip.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.21-41
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• 2019

Thanks to the rapid development of information technologies, the data available on Internet have grown rapidly. In this era of big data, many studies have attempted to offer insights and express the effects of data analysis. In the tourism and hospitality industry, many firms and studies in the era of big data have paid attention to online reviews on social media because of their large influence over customers. As tourism is an information-intensive industry, the effect of these information networks on social media platforms is more remarkable compared to any other types of media. However, there are some limitations to the improvements in service quality that can be made based on opinions on social media platforms. Users on social media platforms represent their opinions as text, images, and so on. Raw data sets from these reviews are unstructured. Moreover, these data sets are too big to extract new information and hidden knowledge by human competences. To use them for business intelligence and analytics applications, proper big data techniques like Natural Language Processing and data mining techniques are needed. This study suggests an analytical approach to directly yield insights from these reviews to improve the service quality of hotels. Our proposed approach consists of topic mining to extract topics contained in the reviews and the decision tree modeling to explain the relationship between topics and ratings. Topic mining refers to a method for finding a group of words from a collection of documents that represents a document. Among several topic mining methods, we adopted the Latent Dirichlet Allocation algorithm, which is considered as the most universal algorithm. However, LDA is not enough to find insights that can improve service quality because it cannot find the relationship between topics and ratings. To overcome this limitation, we also use the Classification and Regression Tree method, which is a kind of decision tree technique. Through the CART method, we can find what topics are related to positive or negative ratings of a hotel and visualize the results. Therefore, this study aims to investigate the representation of an analytical approach for the improvement of hotel service quality from unstructured review data sets. Through experiments for four hotels in Hong Kong, we can find the strengths and weaknesses of services for each hotel and suggest improvements to aid in customer satisfaction. Especially from positive reviews, we find what these hotels should maintain for service quality. For example, compared with the other hotels, a hotel has a good location and room condition which are extracted from positive reviews for it. In contrast, we also find what they should modify in their services from negative reviews. For example, a hotel should improve room condition related to soundproof. These results mean that our approach is useful in finding some insights for the service quality of hotels. That is, from the enormous size of review data, our approach can provide practical suggestions for hotel managers to improve their service quality. In the past, studies for improving service quality relied on surveys or interviews of customers. However, these methods are often costly and time consuming and the results may be biased by biased sampling or untrustworthy answers. The proposed approach directly obtains honest feedback from customers' online reviews and draws some insights through a type of big data analysis. So it will be a more useful tool to overcome the limitations of surveys or interviews. Moreover, our approach easily obtains the service quality information of other hotels or services in the tourism industry because it needs only open online reviews and ratings as input data. Furthermore, the performance of our approach will be better if other structured and unstructured data sources are added.

• Journal of Veterinary Clinics
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• v.30 no.6
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• pp.482-485
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• 2013

This case report describes the increment of regulatory T cells in thyroid carcinoma of a mixed breed dog compared with normal dogs. A mixed breed dog was referred for a submandibular mass and hyperthermia. Right cervical mass was detected during the physical examination and radiography identified right cervical mass suspected thyroid gland. Accurate location and size of mass was confirmed using computed tomography and 3D reconstructed images. After confirmation of mass, surgical resection was performed and evaluation of regulatory T cells in blood of this patient was performed using flow cytometric assay. The percentage of regulatory T cells was 38.28% of all CD4 (+)/CD25 (+) T cells. This result was higher than median percentage of regulatory T cells of healthy 8 beagles ($7.66{\pm}1.65%$ (p<0.01) of all CD4 (+)/CD25 (+) T cells). And masses were confirmed as giant cell thyroid carcinoma based on histopathologic examination. After surgical resection of cervical mass was performed, the owner didn't want chemotherapy. Seven days later, cervical mass came out again. And CBC showed severe leukocytosis (WBC $47.6{\times}10^3/{\mu}L$) and non-regenerative anemia (PCV 21%). Suspected pulmonic metastasis regions became more severe. Finally the dog died of severe anemia and respiratory disorder.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.472-484
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• 2013

The purpose of this research is to prove a possibility which contributes the globalization of Korean dining and its potential in perceptions from international visitors about images of LOHAS they have. The main study results as follows. There were three subordinate concepts; health, eco-friendly, and substantiality. Second, perceived value noticeably affected the satisfaction of korean restaurant. respectively, the satisfaction of korean restaurant also noticeably affected customer loyalty. This research suggested academic implications of contributable view on foodservice management and tourism study based on the result from Japanese visitors with their Perceived value and domestic restaurant customer loyalty toward Korean dining LOHAS. This study also suggests the implication of the globalization of Korean dining and taking a position as a supporter of the globalization plan from korean dining foundation. Additionally, this study intended to present capable contribution based on the results of study with related proposals of globalization of Korean dining, Korea in-bound tour, and its interagency.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.48-57
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• 2013

Smartphones provide users with environment for communication and sharing information and at the same time play an important role of mobile technology and mobile art development. Smartphone technology-related researches are being accelerated especially with the advent of mobile Augmented Reality(AR) age, but the studies on user participation that is essential for AR content industry were insufficient. In that regard, the assistance from mobile art area that has already developed these characteristics is essential. Thus, this article is to classify mobile art that has not been studied a lot domestically into feature phone usage and smartphone usage and to analyze each example case with the three most used methods. The usage of feature phones which use the sound and images of mobile devices can be divided into three: installation and performing methods, single channel video art method and five senses communication method. On the other hand, the usage of smartphones that use sensors, cameras, GPS and AR can be divided into location-based AR, marker-based AR and markerless AR. Also, as a result of examining mobile AR content utilization technology by industries, combined methods are utilized; tourism and game-related industries use location-based AR, education and medicine-related industries use marker-based AR, and shopping-related industries use markerless AR. The development of AR content industry is expected to be accelerated with mobile art that makes use of combined technology method and constant communication method through active participation of users. The future development direction of mobile AR industry is predicted to have minimized HMD, integration of hologram technology and artificial intelligence and make the most of big data and social network so that we could overcome the technological limitation of AR.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.451-457
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• 2020

Format recognition and OCR techniques are widely used as methods for detecting and protecting personal information from electronic documents. However, due to the poor recognition rate of the OCR engine, personal information cannot be detected or false positives commonly occur. It also takes a long time to analyze a large amount of electronic documents. In this paper, we propose a method to improve the speed of image analysis of electronic documents, character recognition rate of the OCR engine, and detection rate of personal information by improving the existing method. The analysis speed was increased using the format recognition method while the analysis speed and character recognition rate of the OCR engine was improved by image correction. An algorithm for analyzing personal information from images was proposed to increase the reconnaissance rate of personal information. Through the experiments, 1755 image format recognition samples were analyzed in an average time of 0.24 seconds, which was 0.5 seconds higher than the conventional PAID system format recognition method, and the image recognition rate was 99%. The proposed method in this paper can be used in various fields such as public, telecommunications, finance, tourism, and security as a system to protect personal information in electronic documents.

• Korean journal of food and cookery science
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• v.22 no.4 s.94
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• pp.419-427
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• 2006

The purpose of this study is to promote the substitution of rice flour for wheat flour in making bread and thus the consumption of rice by examining the effect of particle size of rice flour on leavening rice bread. For this purpose, several experiments were carried out. With regard to particle size distribution, 59.45% of wheat flour had passed 200 mesh and 3 kinds of rice flour milled to penetrate into 20, 35, and 45 mesh (S1, S2 and S3) had passed 21.88%, 33.1% and 36.38% of those for 200 mesh, respectively. To leaven the rice flour dough to bread, 25% of vital gluten was needed. To determine the optimal water quantity for rice bread dough, the hardness of wheat and rice flour dough was measured by rheometer. The appropriate water quantity for S1, S2 and S3 was set at 285 ml , 295 ml and 335${\sim}$340m1, respectively. The loaf volume index of the wheat flour bread was 6.24, while that of and rice flour bread S1, S2 and S3 was 5.38, 5.50 and 5.75, respectively. These results indicated that the loaf volume index of rice flour bread is lower than that of wheat flour bread, but that the volume of rice flour bread was increased with fuel particle size of rice flour. Scanning electron microscopy (SEM), image of the wheat bread tissue at a magnification of 35 times showed long, large, oval-shaped, air cells and thin cell membrane, as well as small air cells, whereas the images of rice flour showed angular, circular, air cells and rough and thick cell membrane. The size and number of air cells in the rice bread were larger in S2 and S3 with fuel particle flours than in S1. In particular, the bread made with S3 contained many air cells that were as large as those in the wheat bread were. In addition, when the inner cell wall was magnified 1500 times, almost no small air cell was observed in C and S3, whereas many fine air cells were observed in the cell wall of S1 and S2.

• Korean Journal of Environment and Ecology
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• v.26 no.6
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• pp.952-959
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• 2012

This study examined habitat fragmentation that has occurred in Paju and Yeoncheon, the two border municipalities between North and South Korea in Gyeonggi-do (province) during the last 17 years using various landscape metrics. We 1) classified grass and agricultural habitats and forest habitats from two Landsat TM images collected in 1990 and 2007, and 2) compared the percentage of class area, patch density, mean patch area, and mean perimeter area ratio for the two habitat types between the two time points. Both types of habitats has been severely fragmented due to urban development in the last 17 years. The increased patch density and decreased mean habitat area are attributed to the construction of roads and railroads that separate a large habitat to many small pieces. The increased mean perimeter area ratio also indicates that the habitat fragmentation extended areas that are affected by the edge effect and so less suitable for interior species. A habitat conservation plan is urgently needed to minimize habitat fragmentation from developments that are expected to soon occur in the north and south Korean border.