• Journal of the Economic Geographical Society of Korea
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• v.16 no.4
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• pp.551-566
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• 2013

This study aims to evaluate the industrial cluster policy implemented in Korea during the last decade or so, examine whether it can still be a valid policy measure in the creative economy regime, and propose policy directions for the future. It is evaluated that the cluster policy has contributed to increasing productivity by improving networks between companies, universities and research centers and thus strengthening innovation infrastructure. The policy, however, by its characteristics of government-domination, failed to develop open-ended and flexible spontaneous clusters. Industrial clusters have the capability to contribute to the virtuous circle of creative economy by enhancing creativity and innovativeness, and subsequently by increasing value-added. In order to maximize these positive effects, a few suggestions are made, including being faithful to the very nature of clusters, e.g. geographical proximity and connectedness, intending clusters with creativity well maintained, orienting toward multi-scalar clusters with a mixture of local and global perspectives, and matching regional and industrial policies with regards to clusters.

• Journal of Navigation and Port Research
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• v.41 no.4
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• pp.243-250
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• 2017

Seaports are not longer considered to be single entities for which the main activity is to load and discharge cargo, but rather as fundamental hubs within a complex supply chain serving global production networks. From a public perspective, they hold a key role in terms of their economic impact at the local, regional and national level by generating value added activity and employment. This issue is becoming increasingly pivotal for ports and their stakeholders. The objective of the study is to estimate a regression model of the value added activity and employment figures of 17 Italian ports for which there are no publications available. Concerning port system reform in Italy, the research intends to provide policy makers with a tool to measure the effects produced by ports and their importance to local communities and regions. The paper finds that in all Italian ports, the direct effects are larger than the indirect effects, and the bigger socio-economic effects are found in the biggest ports.

• The KIPS Transactions:PartC
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• v.10C no.7
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• pp.915-922
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• 2003

The Grid is an infrastructure to connect heterogeneous resources that are scattered over areas with high-speed network and to cooperate with each other. To support Grid applications, network resources should be managed, since the network has to be safe and reliable. The Grid Monitoring Architecture Working Group (GMAWG) of the Global Grid Forum (GGF) proposed an effective architecture to be scalable across wide-area networks and encompass a large number of heterogeneous resources. In this paper, we describe the design and implementation of Grid network monitoring system based on the GMA for practical network management. By this system, network operations center can form a management system flexibly and scalably for Grid network.

• Journal of Positioning, Navigation, and Timing
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• v.7 no.2
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• pp.53-59
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• 2018

This paper proposes a pseudo-random beamforming technique for time-synchronized mobile base stations (BSs) for multi-cell downlink networks which have mobility. The base stations equipped with multi-antennas and mobile stations (MSs) are time-synchronized based on global positioning system (GPS) signals and generate a number of transmit beamforming matrix candidates according to the predetermined pseudo-random pattern. In addition, MSs generate receive beamforming vectors that correspond to the beam index number based on the minimum mean square error (MMSE) using transmit beamforming vectors that make up a number of transmit beamforming matrices and wireless channel matrices from BSs estimated via the reference signals (RS). Afterward, values of received signal-to-interference-plus-noise ratio (SINR) with regard to all transmit beamforming vectors are calculated, and the resulting values are then feedbacked to the BS of the same cells along with the beam index number. Each of the BSs calculates each of the sum-rates of the transmit beamforming matrix candidates based on the feedback information and then transmits the calculated results to the BS coordinator. After this, optimum transmit beamforming matrices, which can maximize a sum-rate of the entire cells, are selected at the BS coordinator and informed to the BSs. Finally, data signals are transmitted using them. The simulation results verified that a sum-rate of the entire cells was improved as the number of transmit beamforming matrix candidates increased. It was also found that if the received SINR values and beam index numbers are feedbacked opportunistically from each of the MSs to the BSs, not only nearly the same performance in sum-rate with that of applying existing feedback techniques could be achieved but also an amount of feedback was significantly reduced.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.121-128
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• 2013

Existing sensor network studies have only emphasized energy aspects that sensors themselves had. But when an actual sensor network is established, biased use of a specific sensor may cause a partial disconnection of the sensor network. It becomes an disadvantage to fail efficient operation of the sensor network for a long time and energy efficiency of specific sensor energy causes to drop the efficiency of the sensor network. When a sensor network is composed of many clusters or made up of a large network, sensor network's disconnection cannot be avoided because they emphasize sensor's energy efficiency. Therefore, it was tried to lengthen the lifespan of the sensor network by making sensors in the sensor network avoid disconnection through even use of all the sensors composing of the sensor network. This article proposes a protocol to maintain a sensor network for a long time by preventing a sensor networks' disconnection through efficient management of sensor network energy composed of the protocols composing of the sensor network in ubiquitous environments.

• Journal of Communications and Networks
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• v.18 no.1
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• pp.65-74
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• 2016

Ship ad-hoc network (SANET) extends the coverage of the maritime communication among ships with the reduced cost. To fulfill the growing demands of real-time services, the SANET requires an efficient clock time synchronization algorithm which has not been carefully investigated under the ad-hoc maritime environment. This is mainly because the conventional algorithms only suggest to decrease the beacon collision probability that diminishes the clock drift among the units. However, the SANET is a very large-scale network in terms of geographic scope, e.g., with 100 km coverage. The key factor to affect the synchronization performance is the signal propagation delay, which has not being carefully considered in the existing algorithms. Therefore, it requires a robust multi-hop synchronization algorithm to support the communication among hundreds of the ships under the maritime environment. The proposed algorithm has to face and overcome several challenges, i.e., physical clock, e.g., coordinated universal time (UTC)/global positioning system (GPS) unavailable due to the atrocious weather, network link stability, and large propagation delay in the SANET. In this paper, we propose a logical clock synchronization algorithm with multi-hop function for the SANET, namely multi-hop clock synchronization for SANET (MCSS). It works in an ad-hoc manner in case of no UTC/GPS being available, and the multi-hop function makes sure the link stability of the network. For the proposed MCSS, the synchronization time reference nodes (STRNs) are efficiently selected by considering the propagation delay, and the beacon collision can be decreased by the combination of adaptive timing synchronization procedure (ATSP) with the proposed STRN selection procedure. Based on the simulation results, we finalize the multi-hop frame structure of the SANET by considering the clock synchronization, where the physical layer parameters are contrived to meet the requirements of target applications.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.6A
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• pp.617-623
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• 2007

A novel c-DSDV routing protocol is proposed in clustered mobile ad hoc networks. Clusterheads that manage members in their own cluster construct a higher layer backbone to which the DSDV concept is applied. Each clusterhead maintains its own global routing table by exchanging Update Request (UREQ) messages with its neighboring clusterheads. A number of entries in the table is as small as a number of clusterheads unlike a number of nodes in DSDV Since a UREQ message travels from one clusterhead to all its neighboring clusterheads that are at most 3 hops away, the topology convergence range by each UREQ message is at least 9 times as wide as that of DSDV and CGSR, greatly improving accuracy of routing information. However, overhead in c-DSDV is similar to that of DSDV because only clusterheads initiate UREQ messages. Delivery ratio increases by about 32$\sim$50%.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.273-301
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• 2008

This study aims not only to examine the globalization, imformationization, and networking as background of knowledge-information-based society, but also to clarify the research fields of 'geography of knowledge' and further research themes for economic geography in a knowledge-information-based society. As a result of globalization, the degree of regional disparity, which had decreased with neoliberal policy in Europe and America in 1980's, has increased in early development states such as China and Eastern European countries. In opposition to the globalization that has led to increasing regional disparities at a global scale, many scholars argue that grassroots globalization or globalization from below is needed. Based on a pessimistic view on globalization, many maintain that unequal access to information has enlarged the gap between rich and poor. They also argue that the study of the geography of poverty is crucial in oder to solve the problem of bipolization. According to the world system theory, spatial grasp of commodity chains, actors' diversities, flows towards innovation in learning knowledges, and geographical, organizational, and institutional proximities are intertwined. Because these elements make significant influences each other in social networks, the interrelationships among those elements should be carefully considered. A 'geography of knowledge' deals with manufacturing, finance and service, media, cultural, and creative industries. Former researches in economic geography have tended to deal with those industries separately without attempting to make meaningful linkages among discussions on those industries.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.787-794
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• 2018

The various natural disasters such as floods and localized heavy rains are increasing due to the global warming. If a natural disaster can be detected and analyzed in advance and more effectively, it can prevent enormous damage of natural disasters. Recent development in visual sensor technologies has encouraged various studies on monitoring environments including rivers. In this paper, we propose a method to detect water regions from river images which can be exploited for river surveillance systems using video sensor networks. In the proposed method, we first segment a river image finely using the minimum spanning tree algorithm. Then, the seed regions for the river region and the background region are set by using the preliminary information, and each seed region is expanded by merging similar regions to segment the water region from the image. Experimental results show that the proposed method separates the water region from a river image easier and accurately.

• The KIPS Transactions:PartB
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• v.11B no.2
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• pp.207-212
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• 2004

This paper presents a reinforcement learning framework for stock trading systems. Trading system parameters are optimized by Q-learning algorithm and neural networks are adopted for value approximation. In this framework, cooperative multiple agents are used to efficiently integrate global trend prediction and local trading strategy for obtaining better trading performance. Agents Communicate With Others Sharing training episodes and learned policies, while keeping the overall scheme of conventional Q-learning. Experimental results on KOSPI 200 show that a trading system based on the proposed framework outperforms the market average and makes appreciable profits. Furthermore, in view of risk management, the system is superior to a system trained by supervised learning.