• Journal of Communications and Networks
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• v.7 no.2
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• pp.157-170
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• 2005

The combination of multiple antennas and multi-carrier code division multiple-access (MC-CDMA) is a strong candidate for the downlink of the next generation mobile communications. The study of such systems in scenarios that model real-life trans-missions is an additional step towards an optimized achievement. We consider a realistic MIMO channel with two or four transmit antennas and up to two receive antennas, and channel state information (CSI) mismatches. Depending on the mobile terminal (MT) class, its number of antennas or complexity allowed, different data-rates are proposed with turbo-coding and asymptotic spectral efficiencies from 1 to 4.5 bit/s/Hz, using three algorithms developed within the European IST-MATRICE project. These algorithms can be classified according to the degree of CSI at base-station (BS): i) Transmit space-frequency prefiltering based on constrained zero-forcing algorithm with complete CSI at BS; ii) transmit beamforming based on spatial correlation matrix estimation from partial CSI at BS; iii) orthogonal space-time block coding based on Alamouti scheme without CSI at BS. All presented schemes require a reasonable complexity at MT, and are compatible with a single-antenna receiver. A choice between these algorithms is proposed in order to significantly improve the performance of MC-CDMA and to cover the different environments considered for the next generation cellular systems. For beyond-3G, we propose prefiltering for indoor and pedestrian microcell environments, beamforming for suburban macrocells including high-speed train, and space-time coding for urban conditions with moderate to high speeds.

• Journal of the Korean Geographical Society
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• v.38 no.4
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• pp.518-534
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• 2003

A number of previous studies have maintained that information technologies, due to their ability to overcome distance, can nurturing an innovative class of polycentric urban configurations, i.e., network cities. The present study intends to clarify whether any network relationship has recently been emerged among Korean cities by the advancement of information technology. The analyses focused on the geography of Korean national domains (.kr domains), and the hyperlink associations among three major types of domains, namely commercial, academic, and organizational domains. The study findings altogether indicate that the advancement of global economy and information era appears to be enhancing, rather than reducing the status of primate city. Seoul dominates the entire nation, forming an enclave in the production and consumption of information. Only the domains of educational institutes show network-like relations among local centers to a certain extent. The paper concludes with a discussion on the implications of the findings for future research and ‘spatial’ policy measures.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.4
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• pp.583-599
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• 2022

According to the discussion on the low-density economy in OECD industrial growth in remote area has played a central role in the members'economic recovery from the financial crisis in the mid-2000s. Based on the OECD's low-density economy this study examines the phenomena and spatial characteristics of industrial growth in peripheral areas of Korea. The growth of industries in the peripheral areas shows a similar growth characteristics as cases in the OECD members. Various manufacturing and service sectors as well as traditional sectors such as agriculture, forestry and fishing have grown in the peripheral areas since the mid-2000s. Firms in the peripheral areas form various cooperative networks to overcome the unfavorable regional conditions. The growth of new industries shows the possibility of path-dependent development in the periphery. Based on the results, implications on the policies for supporting the diversification of regional industries, setting flexible regional boundaries for policies, and linking policy sectors are derived.

• Journal of the Korean Regional Science Association
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• v.35 no.3
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• pp.7-23
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• 2019

Smart cities are expanding their spatial scope to urban areas and regions. Linking regional economic development strategies beyond the borders with smart city planning can lead to cooperation and economic development between regions and countries as well. The purpose of this study is to suggest cooperation and regional development of the three nations - Korea, North Korea and China - through the Yellow Sea Rim Smart Region. To this end, smart city strategies and economic development plan with implementation status in the three countries including special economic zones have analyzed that could be the spatial basis of the smart region. On the west coast of Korea facing the Yellow Sea, lots of projects related to smart cities are actively underway in Saemangeum, Yellow Sea Free Economic Zone(YESFEZ), and Incheon Free Economic Zone(IFEZ). Although the political situation is still uncertain, North Korea is analyzed to have economic and technical potential in the west coast connecting Haeju, Nampo, and Sinuiju. In Liaoning and Shandong provinces of China, smart city projects have been actively promoted in recent years especially in the state-supporting industrial cities. Restoration of economic cooperation between South Korea and China, linkage of transportation networks, vitalization of cross-border cooperation projects between China and North Korea centered on Dandong and Sinuiju, and the connecting of smart city infrastructure and services for China and South Korea's economic cooperation process will make the Yellow Sea Rim as a world prosperous economic region. However, it is necessary to establish and operate a governance system through long-term planning for transnational consultation and establishment of a promotion organization.

• Journal of the Korean Geographical Society
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• v.42 no.5
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• pp.710-727
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• 2007

This paper suggests an inquiry into the characteristics and implications of urbanscapes produced by Internet cafes, widely called PC Bangs in Korea, and their effects on the motions and boundaries of human bodies as cyborgs which exist in between actual and virtual spaces or between human and machine spaces in PC Bangs. The paper, which is organised into two main sections, first investigates the streetscapes of PC Bangs as electronic architectural spaces and suggests the urban electronic space of PC Bangs in terms of hypertext space. Then, it looks at the effects of PC Bangs on human bodies which exist as human-machine hybrids or cyborgs in PC Bangs. The paradoxical socio-spatial characteristics of PC Bangs as third, liminal or hybrid spaces between actual and virtual spaces or between human and machine spaces can be explained as follows. Firstly, there appear both nomadic and sedentary landscapes in that people in PC Bangs move in virtual spaces on the one hand, and are static in actual spaces on the other hand. Secondly, both open and closed spaces are shaped in that although PC Bangs act as open or public electronic spaces, they involve invisible social boundaries, forming the gendered space of masculinism. Thirdly, the boundaries of the human body are extended and are shrunk at the same time in that while the sensory boundaries of the body in PC Bangs are extended through electronic networks, its social boundaries are shrunk through the imaginary space of solipsism. Thus and finally, PC Bangs can be characterised not only as social spaces entailing embodied and gendered landscapes, but also as non-places involving the cyborg landscapes of human-machine connections.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.15-15
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• 2011

The radar observation system in Japan is operated by two governmental groups: Japan Meteorological Agency (JMA) and the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) of Japan. The JMA radar observation network is comprised of 20 C-band radars (with a wavelength of 5.6 cm), which cover most of the Japan Islands and observe rainfall intensity and distribution. And the MLIT's radar observation system is composed of 26 C-band radars throughout Japan. The observed radar echo from each radar unit is first modified, and then sent to the National Bureau of Synthesis Process within the MLIT. Through several steps for homogenizing observation accuracy, including distance and elevation correction, synthesized rainfall intensity maps for the entire nation of Japan are generated every 5 minutes. The MLIT has recently launched a new radar observation network system designed for flash flood observation and forecasting in small river basins within urban areas. It is called the X-band multi parameter radar network, and is distinguished by its dual polarimetric wave pulses of short length (3cm). Attenuation problems resulting from the short wave length of radar echo are strengthened by polarimetric wavelengths and very dense radar networks. Currently, the network is established within four areas. Each area is observed using 3-4 X-band radars with very fine resolution in spatial (250 m) and temporal (1 minute intervals). This study provides a series of utilization procedures for the new input data into a real-time forecasting system. First of all, the accuracy of the X-band radar observation was determined by comparing its results with the rainfall intensities as observed by ground gauge stations. It was also compared with conventional C-band radar observation. The rainfall information from the new radar network was then provided to a distributed hydrologic model to simulate river discharges. The simulated river discharges were evaluated again using the observed river discharge to estimate the applicability of the new observation network in the context of operations regarding flood forecasting. It was able to determine that the newly equipped X-band polarimetric radar network shows somewhat improved observation accuracy compared to conventional C-band radar observation. However, it has a tendency to underestimate the rainfall, and the accuracy is not always superior to that of the C-band radar. The accuracy evaluation of the X-band radar observation in this study was conducted using only limited rainfall events, and more cases should be examined for developing a broader understanding of the general behavior of the X-band radar and for improving observation accuracy.

• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1757-1766
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• 2021

The green coverage ratio is the ratio of the land area to green coverage area, and it is used as a practical urban greening index. The green coverage ratio is calculated based on the land cover map, but low spatial resolution and inconsistent production cycle of land cover map make it difficult to calculate the correct green coverage area and analyze the precise green coverage. Therefore, this study proposes a new method to calculate green coverage area using aerial images and deep neural networks. Green coverage ratio can be quickly calculated using manned aerial images acquired by local governments, but precise analysis is difficult because components of image such as acquisition date, resolution, and sensors cannot be selected and modified. This limitation can be supplemented by using an unmanned aerial vehicle that can mount various sensors and acquire high-resolution images due to low-altitude flight. In this study, we proposed a method to calculate green coverage ratio from manned or unmanned aerial images, and experimentally verified the proposed method. Aerial images enable precise analysis by high resolution and relatively constant cycles, and deep learning can automatically detect green coverage area in aerial images. Local governments acquire manned aerial images for various purposes every year and we can utilize them to calculate green coverage ratio quickly. However, acquired manned aerial images may be difficult to accurately analyze because details such as acquisition date, resolution, and sensors cannot be selected. These limitations can be supplemented by using unmanned aerial vehicles that can mount various sensors and acquire high-resolution images due to low-altitude flight. Accordingly, the green coverage ratio was calculated from the two aerial images, and as a result, it could be calculated with high accuracy from all green types. However, the green coverage ratio calculated from manned aerial images had limitations in complex environments. The unmanned aerial images used to compensate for this were able to calculate a high accuracy of green coverage ratio even in complex environments, and more precise green area detection was possible through additional band images. In the future, it is expected that the rust rate can be calculated effectively by using the newly acquired unmanned aerial imagery supplementary to the existing manned aerial imagery.