• The Journal of Information Systems
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• v.24 no.4
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• pp.61-81
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• 2015

Purpose Seoul Digital Industrial Complex has remarkably grown both quantitatively and qualitatively in short period of time since it started restructuring project in 1997. It's also not few that there were various challenges and difficulties in this industrial complex due to fast growth in short-term, such as the deficient amenities, noncooperation among the related organizations. Now, it's time to overcome these challenges and difficulties to establish new strategy for the sustainable growth and development of this Industrial Complex. Methodology There are some previous researches but almost none of them considered the priority order of the development strategy having reflected the needs of industrial complex in point of customer. In this regard, this study suggests the development strategy of Seoul Digital Industrial Complex by supplementing the limits of proceeding researches and using the combined SWOT/AHP analysis theory. Findings Based on the final analysis result of survey by combined SWOT/AHP method, this study suggests the priority order of 4 development strategies for Seoul Digital Industrial Complex, such as SO strategy, ST strategy, WO strategy and WT strategy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3931-3943
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• 2014

Domestic industrial complexes have more loss competitiveness due to their deterioration length and environmental problems. Therefore, it is necessary to suggest the direction of realignment as advanced industrial estates and establish new alternative plans for improving the quality of public and environmental designs as well as reinforcing the competitive power. This study examined the design planning factors affecting the service users' satisfaction in the Seoul Digital Industrial Complex through a PLS regression model. The research result showed that 12 crucial design planning factors out of a total 31 planning factors have a more than 1.0 VIP. In addition, 8 comparatively important planning aspects that were measured between 0.9 and 1.0 were also investigated. These factors were the strategic design planning factors estimating the quantitative priority while enforcing the design improvement project and they should be considered as a useful material for strengthening the competitive power of the Seoul Digital Industrial Complex.

• Journal of the Korean association of regional geographers
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• v.18 no.3
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• pp.283-297
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• 2012

This study aims to analyze an evolutionary path and the dynamics of the Seoul Digital Industrial Complex in Korea based on the analysis of cluster life cycles. From the mid 1960s to the late 1990s, the life cycles and their characteristics of the Seoul Digital Industrial Complex (Guro Industrial Park) are examined as emergence-growth-sustainment-decline focused on the number of firms and employees. After the late 1990s, the number of firms and employees increases rapidly and the active actors of the growth and restructuring are transformed to the technology-intensive SMEs and knowledge-based service firms. Knowledge industry centers (apartment-type factories) help evolve into the life cycle of transformation as knowledge-based clusters after the mid 2000s.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4543-4550
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• 2012

The purpose of this paper is to suggest the improvement method to achieve the interactive development effect between high-tech industrial complex and its surrounding areas. For this reason, this paper has conducted an empirical analysis to find out relevant comprehensive factors, affecting nearby housing prices from such plans, especially by reviewing 'Seoul Digital Industrial Complex.' This paper is truly differentiated from previous research by adding a new perspective 'diverse location characteristics', as it focuses not only on 'high-tech facility' characteristics, but also on 'urban function facilities', including 'transportation facilities', 'amenity facilities', 'security facilities', etc. Then, SPSS Version 18.0 was utilized to conduct the multiple regression analysis with the accumulated relevant data and several results were drawn out as following: Firstly, 'deterioration level', 'brand of apartment', etc. are found to be major influencing factors. Secondly, 'educational facilities', 'transportation facilities', 'Cultural & Sports facilities', 'Amenity facilities', etc. are found in the sector of 'location characteristic'. Lastly, 'leading companies within the industrial complex', were also found, affecting nearby housing prices. Therefore, when a housing development project is planned to grant the interactive development effect to high-tech industrial complex and its surrounding housing areas, it is necessary to consider variety factors, such as comprehensive location characteristics and housing complex characteristics, and also proper housing policy measures should be devised in accordance with the actual demand of employees and their dependant family members.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.269-276
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• 2020

In this study, we will analyze the classroom space of elementary schools that have implemented the Seoul Metropolitan Government's 'Dream Classroom' project and identify satisfaction and needs in terms of users. Primary school was selected and the composition and color of space was investigated by the present ministerial inspection. The survey was conducted on homeroom teachers and analyzed as SPSS/WIN Statistical Programme 22.0. The satisfaction level of space elements was verified by the technical statistical analysis, the general classroom and the 'classroom with dreams' difference in response t-test, the need for planning elements (criticality), and the difference in satisfaction with one way ANOVA. The space had the most separate, primary-colored classrooms. They preferred emotional factors and bright and light atmosphere for the lower grades, and the soft and soft atmosphere for the middle and high school students. The school preferred communication space with the community, proper play and relaxation space for the complex type of classroom. This will help set the direction for elementary school classroom space planning during the Fourth Industrial Revolution.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4616-4626
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• 2013

Freeform buildings have become the main trend that reflects complex and diverse nature of the society with the progress on the digital technology. Therefore, the demands of the researches about architectural freeform surfaces have increased rapidly over the past few years. As the fundamental research for the successful construction of the freeform buildings, this study focuses on the definition of terms, and the classification of curved-form, the methods of panelizing, and the optimization of panelizing through an integrated perspective.

• 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.

• The Journal of the Petrological Society of Korea
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• v.16 no.4
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• pp.208-216
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• 2007

Based on digital geologic and geomorphic maps of 1 : 250,000 scale, distributive ratios of rock types were obtained by ArcGIS 9.0 program in the Gyeonggi, Seoul and Incheon areas of the Gyeonggi province. In the Gyeonggi area, 37 rock types are developed, and their geologic ages can be classified into Precambrian, Age-unknown, Triassic, Jurassic, Cretaceous and Quatemary. Among them, distributive ratios are decreasing in the order of Jurassic Daebo granites, Precambrian banded gneiss of Gyeonggi gneiss complex and Quatemary alluvium, all of which comprise about 83.7% of the rock types in the area. In the Seoul and Incheon areas, 10 and 15 rock types are developed, respectively., with the firmer being classified into Precambrian, Jurassic and Quatemary, and the latter into Precambrian, Jurassic, Cretaceous and Quatemary. In the Seoul area, distributive ratios are decreasing in the order of banded gneiss of Gyeonggi gneiss complex, Daebo granites and alluvium, which consist of 95.5% of the rocks in the area. In the Incheon area, distributive ratios are decreasing in the order of alluvium, Daebo granites, banded gneiss of Gyeonggi gneiss complex, reclaimed land, and schists of Gyeonggi gneiss complex, which occupy about 96.2% of the rocks in the area. The ratio of alluvium in the Incheon area is greater than that of Gyeonggi and Seoul areas, and the ratio of reclaimed land in the Incheon area is greater that of the Seoul, which can be attributed to the recent reclamation of the land for the industrial results such as new town development along the coastline of the Gyeonggi Bay.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.33-39
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• 2020

In order to cope with traffic accidents efficiently, the maximum number of traffic accidents, deaths and serious injuries that can occur during the day should be presented quantitatively. In order to examine the characteristics of traffic accidents in different regions, it was divided into the Seoul metropolitan area, Chungcheong area, Gyeongbuk area, Honam area, and Gyeongnam area and was suitable for the generalized extreme value distribution (GEV). The parameters of the GEV distribution were estimated by the L-moments, and the Anderson-Darling test and the Cramer-von Mises test confirmed the suitability of the distribution. According to the analysis, the maximum number of traffic accidents that can occur once every 50 years is 401 in the Seoul metropolitan area, 168 in the South Gyeongsang region, 455 in the North Gyeongsang region, 136 in the Chungcheong region and 205 in the South Jeolla region. Compared to the Seoul metropolitan area, which has a large population and car registration, the number of traffic accidents is relatively high due to the large area, mountainous areas, and logistics movement caused by the industrial complex.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.1
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• pp.38-52
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• 2024

Digital transformation industry contributes to the improvement of productivity in overall industrial production, the smart green industry for carbon neutrality and sustainable growth is growing as a future industry. The purpose of this paper is to explore the status and role of the industry in the future industry innovation ecosystem through the analysis of the growth drivers and location pattern changes of the smart green industry. The industry is on the rise in both metropolitan and non-metropolitan areas, and the growth of the industry can be seen in non-metropolitan and non-urban areas. In particular, due to the smart green industrial complex pilot project, the creation of Gwangju Jeonnam Innovation City, and the promotion of new and renewable energy policies, the emergence of core aggregation areas (HH type) in the coastal areas of Honam and Chungcheongnam-do, and the formation of isolated centers (HL type) in the Gyeongsang region, new and renewable energy production companies are being accumulated in non-metropolitan areas. Therefore, the smart green industry is expected to promote the formation of various specialized spokes in non-urban areas in the future industrial innovation ecosystem that forms a multipolar hub-spoke network structure, where policy factors are the triggers for growth.