• Journal of the Korean Regional Science Association
• /
• v.15 no.2
• /
• pp.75-102
• /
• 1999

This paper attempts at analyzing the urban dynamics in Northeast Asia by looking at major forces transforming the regional structure of Northeast Asia. Trade and foreign direct invest-ment are identified as two principal channels of increasing economic interdependence in the region. In addition, macro development strategy and infrastructure policy are another set of determining factors for changes in the regional structure of Northeast Asia. To examine the role of cities and inter-city linkages, the paper first tries to identify major urban centers and urban hierarchy in Northeast Asia. Secondly, it examines the prospects for inter-city network formation. Against these anticipated changes in the regional structure and inter-city networks in Northeast Asia, the paper discusses about the future of Korea as well as the role of Koran cities in the regional economy of Northeast Asia.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2000.05a
• /
• pp.333-340
• /
• 2000

• Journal of the Economic Geographical Society of Korea
• /
• v.5 no.2
• /
• pp.277-291
• /
• 2002

The purpose of this study is to analyze the characteristics of the innovation system of a theme park, and to suggest the development strategies of a theme park through looking at Everland in Yongin, Korea. Everland had relatively the strong networks with in-house, customers, and suppliers, while it had the weak networks with competitors and universities. The innovation information network is constructed among in-house innovation actors; while, the level of interactive learning is low. So the innovation barriers exist; namely, the insufficiency of information exchange, the lack of roles of intermediate organizations, and the gap of R&D and practices. The cooperation and trust should be accumulated to overcome the barriers of innovations. Therefore, Everland should strengthen the networks with in-house innovation actors, and diffuse the cooperation and trust outwards. To maximize the synergies, Everland should construct the networks of innovation actors in a region (Regional Innovation System). To construct Regional Innovation System, first, Everland should construct the close and horizontal cooperation relationship with related firms, and intensify the innovation capacity through learning by interacting. Second, Everland should diffuse the principle of win-win through cooperation and competition.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.9
• /
• pp.559-569
• /
• 2016

This study examined flow between regions based on the spatial structure of the territory and characterized the flow patterns by analyzing regional networks via transportation connectivity. To accomplish this, transportation connectivity of the entire nation was examined using 2010 national express bus OD data from the Korea Transport Database. After the initial analysis, 2010 car OD data describing networks in seven regions (125 cities and districts), Gangwon-do, Gyeongsangnam-do, Gyeongsangbuk-do, Jeollanam-do, Jeollabuk-do, Chungcheong-do and Seoul, were analyzed to identify transportation connectivity. The results revealed that Korea has strong triangular-belt-shaped transportation connectivity that connects among metropolitan areas in the Jeolla and Gyeongsang areas. Particular zones are set by regional characteristics and functional connectivity for each zone. The results of this study will be useful as a basic material to establish development strategies and customized regional policy development, as well as balanced development.

• Journal of Internet of Things and Convergence
• /
• v.9 no.6
• /
• pp.111-117
• /
• 2023

There is a lot of research on using a combination of graph neural networks and recurrent neural networks as a way to account for both temporal and spatial dependencies. In particular, graph neural networks are an emerging area of research. Seoul's bicycle rental service (aka Daereungi) has rental stations all over the city of Seoul, and the rental information at each station is a time series that is faithfully recorded. The rental information of each rental station has temporal characteristics that show periodicity over time, and regional characteristics are also thought to have important effects on the rental status. Regional correlations can be well understood using graph neural networks. In this study, we reconstructed the time series data of Seoul's bicycle rental service into a graph and developed a rental prediction model that combines a graph neural network and a recurrent neural network. We considered temporal characteristics such as periodicity over time, regional characteristics, and the degree importance of each rental station.

• Knowledge Management Research
• /
• v.12 no.2
• /
• pp.69-80
• /
• 2011

This paper reports on a structural view of a knowledge network comprised of clubs and organisationsexpressly concerned with cultural activities in a regional Australian city. Social network analysis showed an uneven distribution of power, influence, and prominence in the network. The network structure consisted of two modules of vertices clustered around particular categories of creative arts and these modules were linked most frequently by several organisations acting as communication hubs and boundary spanners. The implications of the findings include 'network weaving' for improving the network structure and developing a systemic approach for exploring the structures of social action that form community-based knowledge networks.

• Journal of Korea Multimedia Society
• /
• v.7 no.1
• /
• pp.106-112
• /
• 2004

Mobile IP is a solution for mobility on the global Internet. However, it causes service delay incase of frequent movement of mobile node and mobile users. Mobile IP regional registration is Proposed to reduce the service delay. In this paper, we introduce an optimal regional location management mechanism for Mobile IP that reduces the registration delay. The movement of mobile node is described by a discrete analytical model. The proposed model explains analytically average packet rate and registration cost as the size of regional networks with mobility of mobile node.

• Journal of the Semiconductor & Display Technology
• /
• v.22 no.2
• /
• pp.128-132
• /
• 2023

Recently, with the development of deep learning technology, research on pedestrian attribute recognition technology using deep neural networks has been actively conducted. Existing pedestrian attribute recognition techniques can be obtained in such a way as global-based, regional-area-based, visual attention-based, sequential prediction-based, and newly designed loss function-based, depending on how pedestrian attributes are detected. It is known that the performance of these pedestrian attribute recognition technologies varies greatly depending on the type of backbone network that constitutes the deep neural networks model. Therefore, in this paper, several backbone networks are applied to the baseline pedestrian attribute recognition model and the performance changes of the model are analyzed. In this paper, the analysis is conducted using Resnet34, Resnet50, Resnet101, Swin-tiny, and Swinv2-tiny, which are representative backbone networks used in the fields of image classification, object detection, etc. Furthermore, this paper analyzes the change in time complexity when inferencing each backbone network using a CPU and a GPU.

• Journal of the Korean association of regional geographers
• /
• v.12 no.5
• /
• pp.523-539
• /
• 2006

The purpose of this study is to explain the growth of the business area for migrant workers and the spatial characteristics of the start-up of business, location selection and market area of the employers from foreign countries by focusing on the ethnic networks in Wongok-Dong, Ansan. The results of this study are summarized as follows. The businesses for Chinese workers among migrant workers are located densely and have many kinds of businesses relative to the businesses for migrants from other countries having small number of migrant workers in this area. Moreover, The employers from foreign countries come to Korea through the migrant networks. And they are located in Wongok-Dong, Ansan in which the migrants community is developed. These things made it clear that they regard ethnic networks as important factor for migrant businesses. While the market area of businesses for Chinese workers is restricted to Wongok-Dong or Ansan city, the market areas of businesses for migrant workers from other countries are expanded nationwide through ethnic networks.

• Journal of the Korean Geographical Society
• /
• v.45 no.2
• /
• pp.256-274
• /
• 2010

The aim of this study is to examine agglomeration patterns of advertising industries and spatial networks of advertisement production in Korea. The focus of analysis is the agglomeration pattern of advertising industries within Seoul because these are agglomerated in Seoul like other business services. Analysis methods are local Moran's I index and location quotient with the regional percentages of each sector's number of employees. Clusters in Gangnam Area are related to start-up advertising firms and global agencies entering domestic advertising markets. Network analysis is used to investigate the spatial networks of TV advertisement production between advertising agencies(AA) and film productions(FP). After transformation of AA-FP network matrix to regional matrix centrality index and brokerage scores are calculated. This analysis shows individual region's different role and position in the AA-FP network. Many agencies in or out of Gangnam Area outsource most advertisement makings to film productions in Gangnam Area. Advertising industry dusters in Gangnam Area is important as of the destination of advertisement production networks and the circulation of those networks.