• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.234-237
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• 2007

Road networks are important geospatial databases for various GIS (Geographic Information System) applications. Road digital maps may contain geometric spatial errors due to human and scanning errors, but manually updating roads information is time consuming. In this paper, we developed a new road features updating methodology using from multispectral high-resolution satellite image and pre-existing vector map. The approach is based on initial seed point generation using line segment matching and a modified double snake algorithm. Firstly, we conducted line segment matching between the road vector data and the edges of image obtained by Canny operator. Then, the translated road data was used to initialize the seed points of the double snake model in order to refine the updating of road features. The double snake algorithm is composed of two open snake models which are evolving jointly to keep a parallel between them. In the proposed algorithm, a new energy term was added which behaved as a constraint. It forced the snake nodes not to be out of potential road pixels in multispectral image. The experiment was accomplished using a QuickBird pan-sharpened multispectral image and 1:5,000 digital road maps of Daejeon. We showed the feasibility of the approach by presenting results in this urban area.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.47-54
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• 2021

This study shows that consumers' attitudes and behaviors are rapidly changing due to the COVID-19 outbreak in a situation where consumption patterns are already changing due to demographic changes such as an increase in the number of single-person households and dual-income couples. To this end, the results of an online survey conducted on 500 panels of Nielsen Korea were used in this study. In particular, consumers were divided into two generation groups (Generation Z vs. Millennial) and analyzed and presented changes in consumption activities and food purchasing behaviors changed by COVID-19. As a result, the existing online distribution trend has been strengthened, and its impact has been amplified by COVID-19. These changes also resulted in different consumption behaviors depending on the degree of concern for COVID-19 by generation. Based on the results of this study, it turns consumers' behavioral changes into new opportunities, focusing on the accelerating a new 'contactless' lifestyle, which will provide managerial implications for the food industry's response strategies in relation to the theoretical significance and in practice.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.13-21
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• 2015

Ongoing advances in wireless broadband technologies can affect all of industrial society. As new wireless broadband technologies emerge, they will improve competition between established industries and their current services and produce new industries and new converged services. This paper analyzes the trend of next-generation wireless broadband and suggests ways of activating the industry further. To this end, we analyze the trend for previous wireless broadband industries and find out three influential factors (content, wireless network technology, and service) that will produce the continued growth of wireless broadband. Using these three factors, we propose a network technology-driven growth model. Based on that model, we offer activation plans for next-generation wireless broadband industries. This study thus provides an insightful perspective for next-generation wireless broadband industries by establishing additional useful guidelines for developing wireless broadband industries in the future.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.178-184
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• 2023

AI image generation technology has become a popular research direction in the field of AI, which is widely used in the field of digital art and conceptual design, and can also be used in the process of 3D texture mapping. This paper introduces the production process of 3D texture mapping using AI image technology, and discusses whether it can be used as a new way of 3D texture mapping to enrich the 3D texture mapping production process. Two AI deep learning models, Stable Diffusion and Midjourney, were combined to generate high-quality AI textures. Finally, the lmage to material function of substance 3D Sampler was used to convert the AI-generated textures into PBR 3D texture maps. And applied in 3D environment. This study shows that 3D texture maps generated by AI image generation technology can be used in 3D environment, which not only has short production time and high production efficiency, but also has rich changes in map styles, which can be quickly adjusted and modified according to the design scheme. However, some AI texture maps need to be manually modified before they can be used. With the continuous development of AI technology, there will be great potential for further development and innovation of AI-generated image technology in the 3D content production process in the future.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.346-351
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• 2023

With the rapid development of Artificial Intelligence (AI) technology, there is an increasing variety of methods for creating 3D models. These include innovations such as text-only generation, 2D images to 3D models, and combining images with cue words. Each of these methods has unique advantages, opening up new possibilities in the field of 3D modeling. The purpose of this study is to explore and summarize these methods in-depth, providing researchers and practitioners with a comprehensive perspective to understand the potential value of these methods in practical applications. Through a comprehensive analysis of pure text generation, 2D images to 3D models, and images with cue words, we will reveal the advantages and disadvantages of the various methods, as well as their applicability in different scenarios. Ultimately, this study aims to provide a useful reference for the future direction of AI modeling and to promote the innovation and progress of 3D model generation technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.4
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• pp.1010-1019
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• 2013

Recently, research on hologram, which can realize perfect 3-dimensional imaging, becomes more active. But hologram has the defect that it costs a lot in generation. Thus, this paper proposes a method to generate a new digital hologram contents by manipulating the existing digital hologram contents. That is, this paper proposes the method to manipulating the digital hologram contents by manipulating and/or synthesizing the depth information to get a new digital hologram contents. The proposed methods have been experimented with various depth informations and digital hologram contents. For each kind of depth information, it has been manipulated for its position and distance. The result was converted to a digital hologram by the computer-generated hologram method and the resulting hologram was reconstructed.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.29
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• pp.121-142
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• 2006

With the advent of Ubiquitous era, Korean government understood its strategic importance and formulated 'IT839 Strategies' with various action plans not to miss the great opportunities which it may allow and eventually to realize u-Korea. As a result, m-Commerce is actualized and new types of Ubiquitous services such as digital multimedia broadcasting(DMB) and wireless broadband Internet(WiBro) are now on their commercial stages. Digital contents are the key success factors of these new services. Digital contents industry is regarded as next generation of growth engine in the digital economy, because it is knowledge-based and high value-added global industry affecting positively on the whole private and public sectors. This paper reviewed the characteristics, business models, technical and market trend of digital contents to be compatible with Ubiquitous environment. Also, it reviewed the development strategies of DMB and WiBro services, which are newly introduced and commercialized in Korea to make it as world leader in these fields. It may be concluded that Korea should make more efforts to development market-oriented digital contents for Ubiquitous era and to realize the sustained economic growth.

• The Journal of Information Systems
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• v.32 no.1
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• pp.85-108
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• 2023

Purpose The purpose of this study is to identify the role of digital shadow work(DSW) in the psychological mechanism that controls using and purchasing digital device accessories. More specifically, it is to reveal how the digital device user's perception of DSW is formed and how the formed DSW affects purchase and what results it will bring. Design/methodology/approach Ground theory method(GTM), one of qualitative appoaches, is adopted as research methodology. By interviewing total twenty five users, the data are analyzed by open coding amd axis coding. Two core codes are selected by selective coding and interpreted by DSW theory. Findings We find concern for potential DSW and generation of new DSW. Concern for potential DSW lead to the purchase of accessorie which would be supposed to reduce potential DSW. During purchasing accessories, quest type DSW, which provices flow experience and expertise, could be genterated. This means that there would be dynamics of DSW in the purchase process of digital device accessories.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.6
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• pp.1285-1290
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• 2012

People have been interested in the next generation media and service over 3D by development of 3D industry and generalization of 3D-related content and equipment in recent year. Many researchers predict that a strong candidate is digital hologram. Holographic technology is classified to capture(or generation), processing, and display(or reconstruction). This paper discusses the digital holographic display system using hybrid image pickup system and proposes a new structure of digital holographic display system. Through the proposed method a digital hologram can be scalably serviced according to display equipments with various resolutions, computing power of decoding part, and network bandwidth.

• Korean System Dynamics Review
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• v.12 no.3
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• pp.47-66
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• 2011

South Korea has achieved remarkable social and economic development together with the process of democratization over the past 20 years. In the democratic process in South Korea, ordinary people have actively participated in conventional political activities such as elections. But recently, one of the salient phenomena is that the public have been showing political apathy associated with a light poll. Especially, the most serious concern in the political environment of South Korea is that young voters (e.g., 20-30s) have serious political apathy leading to low voter turnout. Regarding this concern, many political scientists argued that this political phenomenon is not only the case in South Korea, insisting that many consolidated democratic countries such as European countries and the US have the same problems. However, South Korea has contained different factors (e.g., historical, culture, social, and political differences) leading to political apathy and light poll. Unfortunately, no one has clearly explain the phenomenon. In fact, in order for scholars to understand and explain these concerns, they should carefully look at the phenomenon with diverse perspectives and approaches. The main purpose of this paper is to explain why the digital generation has political apathy and are reluctant to participate in political activities such as voting. Using causal loop analysis which is based on systematic thinking, we not only analyzed the pattern of the digital generation' political participation with regard to diverse perspectives, but also attempted to draw new political implications from the analysis. Based on our analysis, we tried to suggest some implications for political stability and development in South Korea in the future.