• Journal of the Korean Geographical Society
• /
• v.42 no.4
• /
• pp.526-539
• /
• 2007

The purpose of this study is to investigate the influence of the Korean Wave on Chinese tourism to South Korea through a behavioral analysis of Chinese tourists in the general group package tours. China suppressed the needs of the Chinese people's geographical movement and imposed restrictions on information about the outside world with the use of a policy of "closure" for a long time. But since reforms and open-door policies were introduced in China, especially in the context of relaxation of control policies over Chinese outbound tourism after the mid-1990's, more and more Chinese make trips abroad including visits to South Korea. In this situation, the recent Korean Wave(especially, drama/film) describes the Korean national image by forming a bridge between fiction and reality and plays a pivotal role in broadening or reconstructing the geographical imagination of the Chinese people who have been historically isolated from the outside world. Although Chinese have imagined the Korean nationscape on the basis of geopolitical or economic factors in the past, they have currently broadened or reconstructed their geographical imagination to include socio-cultural factors related closely to the Korean way of life due to the recent Korean Wave. This newly constructed geographical imagination led by the Korean Wave functions as an important pulling factor in Chinese destination choices, affecting Chinese tourists' motivation formation and the recommendation of main attractions. The more influential the Korean Wave is on their destination choice, the more the respondents select the cultural factors in both their motivation for tourism to South Korea and their recommendations of tourism attractions to other people. Through the analysis results of both satisfaction and intention to revisit, the more influential the Korean Wave is on their destination choice, the higher is the degree of both satisfaction and intention to revisit. In other words, although Chinese tourism to South Korea is chiefly in the general group package tours, Chinese tourists who are influenced by Korean Wave on their destination choice have more attachment to(or affection for) Korea as a tourism destination. This result suggests that the Korean Wave affects qualitative change - that is, change of attitude - as well as quantitative change in Chinese demand for tourism to South Korea.

• Korean journal of applied entomology
• /
• v.52 no.4
• /
• pp.335-340
• /
• 2013

As the market of educational pet insects is expanding, understanding the consumer needs became more crucial. To achieve the ideal analysis on the market, this research monitored the behavior of consumers. The posting on the blogs of consumers, who have visited insect museums and farms, or have bought insects were collected as data. Moreover, the informational contents, photographs and texts, were analyzed. The results showed that the family-unit visitors with elementary school lower graders were the main type of visitors for their children's education. The visiting areas were concentrated in Seoul and the Metropolitans of Gyeonggi province, and the visits were mostly occurred during their children's vacation period. The analysis of posted photographs showed the visitors' high interest in the hands-on program. According to the texts on visitors' blogs, especially, the largest number of visitors satisfied with the variety of program. It implies the necessity of development in diverse and differentiated hands-on program. Otherwise, the programs available to connect insects to other animals and plants should be introduced to reduce aversion against insects, which was reported as the strongest dissatisfaction. In conclusion, diversification on insect species and development in systematized hands-on program seem to be required for the continuous growth of educational pet insects market.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.3
• /
• pp.75-82
• /
• 2018

Recently, emerging countries have been paying attention to Korean economic development policy, trying to adopt the Korean regional innovation model. Korea is also interested in exporting its regional innovation model and enhancing economic cooperation with those countries. This paper aims to analyze the capacity-building programs of the Korean regional innovation model for emerging countries and suggests policies for it. For this purpose, the local innovators' participation patterns in the process of collaborative learning/networking/interaction are investigated with a focused group-interview method. From an analysis of the programs supported by Korean organizations, this study finds that the correlation coefficient between the training time of capacity building and the participation rate of local members' collaborative learning is very high (0.975). Since the correlation coefficient between the participation rates of collaborative learning and networking is relatively low (0.667), a policy to link local collaborative learning to networking should be provided. As the correlation coefficient between the participation rates of networking and interaction is high (0.950), networking is a key to regional innovation. This study recommends activity programs to promote networking among local innovators, rather than training and consulting programs. As introduced in the Chungnam Techno Park case, this study suggests that the capacity-building program should include programs to initiate a collaborative learning network, to create a local-demand, regional innovation model, and to operate the regional innovation platform, which should be done by local innovators in the emerging countries.

• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.1
• /
• pp.223-242
• /
• 2020

Innovation in university library spaces is challenging to effectively support the education of the university's future learning and innovation capabilities, including creativity, critical thinking, communication and collaboration. The purpose of this study is to investigate the perception and need of library space from the perspective of users and librarians, and to suggest the direction of space innovation through this. For this study, we designed each questionnaire for users and librarians, and collected responses from 363 users and 186 librarians in the university library to analyze their needs and perceptions about their library space. The librarian's need for the space was analyzed by the size of the library and the demographic factors of the librarian. The user's need was analyzed by the user's attributes. In addition, we analyzed the differences between librarians and users for the need for space and space services. The results of this paper may be useful for reference when planning a new library or building a space based on user.

• The Journal of the Korea Contents Association
• /
• v.19 no.3
• /
• pp.138-154
• /
• 2019

This study was conducted to identify the use motivations of AI speaker and examine the characteristics of AI speaker users. Based on the uses and gratifications theory, The study results show that the user motivations of AI speaker are four dimensional, namely escaping from daily problems and maintaining social relationships, information acquisition and learning, entertainment and relaxation and pursuit of practicability. The main AI speaker users are in their 30s, and they are innovative to actively use AI speakers for entertainment purposes such as listening to music. The four sub-dimensions differed as we compared them with user characteristics. Specifically, the motivation for escaping from daily problems and maintaining social relationships varied with gender and age. Moreover, age and informativeness were identified to have an influence on the motivations of information acquisition and learning and entertainment and relaxation. In sum, this research provides practical implications into how to strategically create contents and services for AI speakers.

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.1-13
• /
• 2019

This study examined the effect of digital technologies on adolescent mental health; attention deficit, aggression, depression. Furthermore, we investigated the role of parenting style and peer attachment as they might have effects on digital technologies. Using two-wave longitudinal data, we conducted longitudinal analysis from the Korean Children and Youth Panel Survey done in 2015 and 2016. Results showed that computer and internet usage for learning purpose has a positive effect on mental health, while computer games and social media have negative effects. Also, the positive effects of learning on depression indicated stronger in adolescents who felt less affection from their parents. On the other hand, the negative effects of computer games and social media could be moderated by both parenting style and peer attachment. Implications of these results and directions for future research are discussed.

• The Journal of Bigdata
• /
• v.6 no.2
• /
• pp.99-108
• /
• 2021

Recently, unexpected and more advanced cyber medical treat attacks are on the rise. However, in responding to various patterns of cyber medical threat attack, rule-based security methodologies such as physical blocking and replacement of medical devices have the limitations such as lack of the man-power and high cost. As a way to solve the problems, the medical community is also paying attention to artificial intelligence technology that enables security threat detection and prediction by self-learning the past abnormal behaviors. In this study, there has collecting and learning the medical information data from integrated Medical-Information-Systems of the medical center and introduce the research methodology which is to develop the AI-based Net-Working Behavior Adaptive Information data. By doing this study, we will introduce all technological matters of rule-based security programs and discuss strategies to activate artificial intelligence technology in the medical information business with the various restrictions.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.6
• /
• pp.17-31
• /
• 2023

An activity-based model requires detailed population information to model individual travel behavior in a disaggregated manner. The recent innovative approach developed deep generative models with novel regularization terms that improves fidelity and diversity for population synthesis. Since the method relies on measuring the distance between distribution boundaries of the sample data and the generated sample, it is crucial to obtain well-defined continuous representation from the discretized dataset. Therefore, we propose an improved entity embedding models to enhance the performance of the regularization terms, which indirectly supports the synthesis in terms of feasible and diverse populations. Our results show a 28.87% improvement in the F1 score compared to the baseline method.

• 한국신재생에너지학회:학술대회논문집
• /
• 2010.11a
• /
• pp.177.2-177.2
• /
• 2010

전세계 풍력발전 시장은 2009년말 160GW로 지난 5년간 연평균 36.1%로 성장하였으며, 2012년 310GW, 2020년에는 1,900GW에 이를 전망이다. 특히, 풍력산업은 조선, 중공업 등 우리나라가 강세에 있는 산업과 연관성이 높아 관련분야 대기업을 중심으로 시장진출이 활발히 진행되고 있는 추세이다. 본 연구는 지식경제부에서 지원하고 있는 신재생에너지기술개발사업 R&D지원실적을 토대로 풍력산업 및 기술혁신패턴을 분석하고, 이를 토대로 풍력산업 발전을 위한 기술혁신 지원전략을 연구하였다. 분석결과, 풍력시장이 급성장함에 따라 대기업을 중심으로 급진적 혁신 행태을 보였으며, 기술도입 및 선진기술의 모방이라는 전형적인 초기산업화 패턴을 보이고 있다. 이러한 기업전략은 기술혁신체제 관점에서 기술학습을 통한 기술축적이 부족하고, 부품소재 중심으로 공급사슬을 구성하는 중소 중견기업군이 취약하여 원가절감 등 시장 경쟁력에 장애요인으로 나타났다. 이를 개선하기 위해서는 첫째, 시스템 기업은 중소 중견기업을 중심으로 부품국산화 노력을 통한 경쟁력 있는 공급사슬 구현이 시급하다. 둘째, 정부는 부품소재 중심의 원천연구에 대한 지원을 확대하여야 하며 셋째, 경쟁력 있는 국가의 기술혁신체계 구현을 위해 정부 출연연구소 및 대학을 중심으로 기술축적을 위한 방안이 시급하다. 마지막으로 초기 풍력산업의 주요 수요자가 정부 및 공공기관인점을 감안할 때, 풍력시스템의 국산화 비율을 구매 조건의 핵심 평가요인으로 채택해야 할 것이다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2011.11a
• /
• pp.62-65
• /
• 2011

최근 화두가 되고 있는 스마트 폰 앱의 관심으로 스마트 TV의 앱에 대한 관심도 함께 증가하고 있다. TV시청 이용자들의 편의를 위해 증가하고 있는 수많은 채널과 콘텐츠 중, 개인 사용자의 이용 습관 및 대중의 선호 프로그램을 고려하여, 편리하게 원하는 TV프로그램에 접근하도록 해 주는 TV 앱이 있다면 이는 매우 중요한 기능으로 자리 잡을 가능성이 높을 것으로 예상된다. 이에 본 논문은 사용자의 시청 이용행태를 기반으로 주제모델링 기술의 고전적 모델인 LDA을 기반으로 협업필터링을 결합한 TV 선호 프로그램 추천 알고리듬을 제안한다. 개인의 관심 선호도는 일반적으로 특정 개수로 한정지어지는 특성을 고려하여, 개인 선호도 특성이 구별 되도록 두 가지 방법을 적용하였다. 하나는 개인 선호도 프로파일의 특정 상위 주제만을 고려하는 것이고, 또 다른 하나는 개인별 주제에 대한 선호도의 다양성이 드러나도록 비대칭 하이퍼-파라미터를 갖는 LDA를 사용 하였다. 실험 결과, 두 가지 방식에 대해 사용자의 실제 TV시청 이용내역 데이터를 기반으로 추천 성능의 향상을 평균 Precision 값을 측정하여 확인하였다. 또한, 본 논문에서는 주제 모델링을 통해 학습된 각 주제의 상위 확률의 TV 프로그램들을 분석한 결과, 하나의 주제가 개인별 시청의 특성 보다는 가족단위의 시청 특성을 드러냄을 확인할 수 있었다.