• Korean Architects
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• s.529
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• pp.56-61
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• 2013

• Journal of Plant Biotechnology
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• v.39 no.4
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• pp.225-234
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• 2012

This report describes recent advances in tissue culture and genetic transformation of commercial Phalaenopsis. Recently, an importance of Phalaenopsis has been increased due to its popularity with beautiful flowers and is widely used for pot plants as well as cut-flower. Its use is rapidly enlarging in worldwide. Thus, demands for the release of new elite cultivars in Phalaenopsis have been increased. During the last several decades, some critical progresses have been made in tissue culture and genetic transformation in Phalaenopsis species. Cooperation with these biotechnological methods are supposed to promote the release of commercial Phalaenopsis cultivars in the near future. Until now, no technical review on tissue culture and genetic transformation in Phalaenopsis has been reported in Korea. Therefore, we inquired the brief history and techniques of tissue culture system in Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.943-944
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• 2023

본 프로젝트는 AWS 에서 제공되는 AI/ML 플랫폼과 LLM 모델을 기반으로 문서 및 텍스트와 ppt 를 자동 변환하는 서비스로, 실생활 및 업무에서 활용이 가능하며 별도 사용자 조작 없이 사용가능한 발표자료 및 대본 제작 도구를 통해 일의 효율성을 향상시키고자 한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.1
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• pp.133-140
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• 2011

Recently, Web applications, such as Stock Image and Image Library, are developed to provide the integrated management for user's images. Image hash techniques are used for the image registration, management and retrieval as the identifier and many researches have been performed to raise the hash performance. This paper proposes GLOCAL image hashing method utilizing the hierarchical histogram which based on histogram bin population method. So far, many researches have proven that image hashing techniques based on histogram are robust image processing and geometrical attack. We modified existing image hashing method developed by our research team. The main idea is that it makes more fluent hash string if we have histogram bin of specific length as shown in the body of paper. Finally, we can raise the magnitude of hash string within same context or feature and strengthen the robustness of hash.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.167-183
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• 2023

In the recent field of recommendation systems, various studies have been conducted to model sparse data effectively. Among these, GLocal-K(Global and Local Kernels for Recommender Systems) is a research endeavor combining global and local kernels to provide personalized recommendations by considering global data patterns and individual user characteristics. However, due to its utilization of kernel tricks, GLocal-K exhibits diminished performance on highly sparse data and struggles to offer recommendations for new users or items due to the absence of side information. In this paper, to address these limitations of GLocal-K, we propose the GEase-K (Global and EASE kernels for Recommender Systems) model, incorporating the EASE(Embarrassingly Shallow Autoencoders for Sparse Data) model and leveraging side information. Initially, we substitute EASE for the local kernel in GLocal-K to enhance recommendation performance on highly sparse data. EASE, functioning as a simple linear operational structure, is an autoencoder that performs highly on extremely sparse data through regularization and learning item similarity. Additionally, we utilize side information to alleviate the cold-start problem. We enhance the understanding of user-item similarities by employing a conditional autoencoder structure during the training process to incorporate side information. In conclusion, GEase-K demonstrates resilience in highly sparse data and cold-start situations by combining linear and nonlinear structures and utilizing side information. Experimental results show that GEase-K outperforms GLocal-K based on the RMSE and MAE metrics on the highly sparse GoodReads and ModCloth datasets. Furthermore, in cold-start experiments divided into four groups using the GoodReads and ModCloth datasets, GEase-K denotes superior performance compared to GLocal-K.

• Journal of Plant Biotechnology
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• v.40 no.4
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• pp.185-191
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• 2013

Over the past decades, carbon dioxide concentration of the atmosphere of the world has increased significantly, and thereby the greenhouse effect has become a social issue. To solve this problem, new renewable energy sources including solar, hydrogen, geothermal, wind and bio-energy are suggested as alternatives. Among these new energy sources, bio-energy crops are widely introduced and under rapid progress. For example, corn and oilseed rape plants are used for the production of bio-ethanol and bio-diesel, respectively. However, grain prices has increased severely because of the use of corn for bio-ethanol production. Therefore, non-edible switchgrass draws attention as an alternative source for bio-ethanol production in USA. This review describes the shortage of fossil energy and an importance of switchgrass as a bio-energy crop. Also, some characteristics of its major cultivars are introduced including growth habit, total output of biomass yields. Furthermore, biotechnological approaches have been conducted to improve the productivity of switchgrass using tissue culture and genetic transformation.

• Journal of Korea Game Society
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• v.21 no.1
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• pp.99-112
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• 2021

This paper aims to explore the glocal storytelling strategy of hero's journey content. Many digital games use hero's journey as a framework. However, it is also true that game storytelling is so common that it is soon recognized as a hero's journey. Therefore, this paper paid attention to the new hero's journey application method of the webtoon . The story created an atypical and Korean character on a typical hero's journey plot. It implements an alternative glocal storytelling aiming at harmony between the region and the world by presenting a regional character on a global universal plot.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.368-371
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• 2017

본 논문에서는 GPS기반 가상펜스 시스템과 가상펜스 알고리즘에 대해서 이야기하고, GPS기반 가상펜스 시스템에서 가축의 이탈을 방지하기 위해 설정하는 영역인 경계영역을 설정하기 위한 알고리즘을 제안한다. 그리고 경계영역을 설정하기 위해 필요한 파라미터를 정의하는 실험을 진행하였으며, 속력이 빨라지면 정확도가 증가하는 GPS의 특성에 의해서 가상펜스 시스템에서 가상펜스 디바이스의 안전지역 이탈시 자극이 발생하는 시간이 빨라짐을 확인할 수 있었다.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.7
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• pp.1085-1096
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• 2007

Globalization of market has put considerable research activities in cosmopolitism and nationalism. In addition, consumer's perception of product's country of origin is widely regarded as an important influence on their shopping behavior. The objective of this paper is to investigate the joint effect of cosmopolitanism and nationalism on shopping orientation and awareness of the country of origin of fashion products among Korean young consumers. Data from 471 young Korean consumers were analyzed. According to the cosmopolitanism/nationalism measure, respondents were segmented into three groups: global, local and glocal group. Results indicated that global and glocal consumers value symbolic and non-conforming aspects of fashion product shopping and were more interested in country of origin of products than local consumers. Global consumers showed higher level of foreign product preference than local and glocal consumers. Some managerial implication for marketing practitioners was suggested.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.17-28
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• 2024

Purpose: This paper is designed to deliver a deeper understanding of the implications of digitalization strategies in the tourism industry, exploring the opportunities and challenges in South Korea. Research design, data and methodology: To identify effective strategies, an integrated approach is employed in the research that encompasses the Glocal RPM analysis and SANEL HERMES model, as well as the examination of digital tourism factors within the DIANA economy. The data used for this study were derived from multiple sources, including literature review, participation interview, tourist survey and expert questionnaire. By conducting a tourist survey using questionnaires in this research, Glocal RPM and SANEL HERMES hybrid method is used identifying and classifying influencing factors limiting digitalization in tourism. As a final step, experts use a Quantitative Strategic Planning Matrix to propose, assess, and rank a number of digitalization strategies. Results: According to the analysis, the study revealed that combining both tools contributes to a more holistic understanding of the environment, uncovering the positives and negatives from diverse perspectives. The average satisfaction percentage of experts was determined to be 38%, indicating anatal level of digitalization for tourism industry in South Korea. Conclusions: These results can serve as a valuable guide for policymakers and stakeholders in formulating targeted strategies to enhance glocalization, rationality, professionalism, and morality within the digitalization context.