• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.267-276
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• 2018

The purpose of this study is to analyze the cultural needs of foreign tourists, to investigate the cultural service elements that can be provided in 'Gamcheon Culture Village', to suggest concrete policy to improve cultural services, and ultimately to cultivate excellent international tourism culture brands in 'Gamcheon Culture Village'. In order to find out the cultural needs of foreign tourists, we conducted a case study on 'Gamcheon Culture Village' among the places where the urban regeneration proceeded. The study period was four months, and basic data were collected from foreign tourists from six countries through literature reviews, interviews and participation observation. Analysis of data was based on urban regeneration, cultural desire and service design theory, and we conducted content analysis. This study presented five cultural service goals of 'Gamcheon Culture Village'. First, it displays and promotes local characteristic culture. Second, it develops and sells cultural products. Third, it brings up a good tourist image. Fourth, it provides an unusual food. Fifth, cultural experience optimization. Through this study, it is expected to help improve the cultural service of 'Gamcheon Culture Village'.

• Journal of Practical Engineering Education
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• v.10 no.1
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• pp.9-15
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• 2018

A digital signage is constructed using a speech recognition based API, and VRSM (Voice Recognition Smart Mirror) that obtains information such as weather, map, exercise information, schedule, and image by user's voice command so as to be different from other commercialized products is proposed. This course provides an effective method of engineering education through the process of being evaluated as the result of independent graduation certification system, and also it had been the opportunity to design and produce works for 3 semesters by 2 students one group in the majors. Through the comprehensive capstone design, it has experienced engineering approach and creative thinking opportunity. We have won the best academic prize by participating in the academic conferences of the institute about the interim result, and obtained the results of the prize contest in other academic conferences. The improvement in practical skills obtained through this process proved to be beneficial for self-confidence and job-seeking opportunities through actual employment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.392-394
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• 2019

Tunnels and subterranean roads, which are representative evacuation facilities for national or regional disasters, have radio relay broadcasting facilities for legal reasons and convenience reasons. However, this system is limited to radio broadcasting and it is impossible to effectively communicate disaster or emergency situations that occur locally due to broadcasting of national broadcasting without DMB broadcasting. In order to improve this, we construct a remote disaster broadcasting system at each regional disaster station and implement a system to transmit it to each tunnel using internet or LTE network. The system in the tunnel transmits the emergency broadcasting signal through the existing relay equipment through the modulator which decodes the SMS, the media file, the real time broadcasting or the image received by the digital signal and converts it into FM and DMB frequency. The method proposed and implemented in this study can be used to provide efficient information and remote field control in case of emergency in tunnel and underground roadway.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.165-166
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• 2019

Big data analysis is the ability to collect, store, manage and analyze data from existing database management tools. Big data refers to large scale data that is generated in a digital environment, is large in size, has a short generation cycle, and includes not only numeric data but also text and image data. Big data is data that is difficult to manage and analyze in the conventional way. It has huge size, various types, fast generation and velocity. Therefore, companies in most industries are making efforts to create value through the application of Big data. In this study, we analyzed the meaning of keyword using Social Matrix, a big data analysis tool of Daum communications. Also, the theoretical implications are presented based on the analysis results.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.79-85
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• 2021

The purpose of this study was to investigate the existing augmented reality (AR) contents in education and to develop digital AR contents to promote the learning outcomes in nursing skills education. AR contents has been widely used in education such as children's books, coloring, or exhibition experiences, but rarely developed in nursing education. We wanted to develop AR contents on nursing skills which required memorization of complex contents. In order to improve nursing students' memorization skills, we developed AR techniques holding and executing cameras along with game elements of time and points. In order to give the effect of placing objects in front of the user's eyes, an augmented reality camera was applied, and a total of 40 levels were created to produce the sequence of nursing techniques. This study showed that learning contents in the medical field requiring expertise could be implemented as AR contents. The content developed in this study will be used as a learning aid for nursing students.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.35-44
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• 2021

Previous studies have studied short videos, short form content, snack culture and so on, but few studies have been conducted on the form of summary content that compressing and summarizing the original content. This study aims to contribute to the revitalization of the summary content market by exploring ways to enhance user satisfaction through analysis of the YouTube summary content features and the credibility of content providers that bring about flow and satisfaction of YouTube summary content users. The survey was conducted on 202 people who have watched YouTube summary contents for finding out the effects of YouTube summary contents features and content provider credibility on the details of flow. As a result, only entertainment had a significant impact on all flow details. This study is of academic significance in that it defines the features of YouTube summary contents, and has practical significance in that it suggests what direction the summary content should have in order to arouse user satisfaction in future.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.494-504
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• 2021

The spread of Over-The-Top (OTT) service, which represents Netflix, and the social distancing caused by COVID-19, acted as an overall bad news for domestic multiplex movie theaters. In addition to this, the phenomenon of digital shifting was added, and the need for domestic offline movie theaters to seek a new market for growth emerged. This study focused on the concept of consumer value perception amid this problem consciousness, and attempted to investigate the relationship between the brand image of multiplex movie theaters and purchase satisfaction according to the type of consumer value perception. After data was sampled through a questionnaire survey to a total of 350 subjects, the results of empirical analysis according to the study model are as follows. Among the types of value perception of offline movie viewers, practicality had the strongest influence on brand image construction, and self-faithfulness had the strongest influence on purchase satisfaction of offline movie watching. In addition, the brand image of offline movie theaters had a positive(+) effect on the purchase satisfaction of moviegoers. Based on this, this study suggested a new survival strategy in the new normal era of offline Multiplex Cinemas.

• The Journal of Korean Institute of Information Technology
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• v.17 no.8
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• pp.11-19
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• 2019

Against advanced image-related crimes, a high level of digital forensic methods is required. However, feature-based methods are difficult to respond to new device features by utilizing human-designed features, and deep learning-based methods should improve accuracy. This paper proposes a deep learning model to identify camera models based on DenseNet, the recent technology in the deep learning model field. To extract camera sensor features, a HPF feature extraction filter was applied. For camera model identification, we modified the number of hierarchical iterations and eliminated the Bottleneck layer and compression processing used to reduce computation. The proposed model was analyzed using the Dresden database and achieved an accuracy of 99.65% for 14 camera models. We achieved higher accuracy than previous studies and overcome their disadvantages with low accuracy for the same manufacturer.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.718-726
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• 2021

A musical that combines singing, dancing, and acting is a popular musical drama created by the development of opera. These musicals are the cultural and industrial sectors that are commercially compatible with artistry and popularity. Musicals remind you of exciting and colorful live performances. This musical industry has been loved by the public as it was created not only on stage but also as a musical film. The film industry has been striving to express the musical's unique originality through film screens. In terms of acting, acting in musical films should be implemented to suit musical films. In order to do so, the characteristics of movie acting and musical acting will be understood at the same time and true musical film acting can be implemented on the screen when each genre is fused. In order to act as a musical film, it is necessary to understand the functional characteristics of each genre and apply the necessary functions on the spot.

• Journal of Cadastre & Land InformatiX
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• v.51 no.1
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• pp.67-77
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• 2021

Spatial data is becoming very important as a medium that connects various data produced in smart cities, digital twins, autonomous driving, smart construction, and other applications. In addition, the rapid construction and update of spatial information is becoming a hot topic to satisfy the diverse needs of consumers in this field. This study developed a software prototype that can match the position of an image-based 3D building model produced without Ground Control Points using existing spatial data. As a result of applying this software to the test area, the 3D building model produced based on the image and the existing spatial data show a high positional matching rate, so that it can be widely used in applications requiring the latest 3D spatial data.