• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.7
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• pp.1272-1279
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• 2001

Owing to the change of various services requirement and the change of communication paradime as the development of new transit network technology: ATM, MPLS and DWDM, the latest PSTN is evolving into the next generation network, which have the very high speed integrated packet network of open-type structure. but in the next generation network, the existing voice service is being researched for the continuous technology development as the important service from the viewpoint of communication business. This paper suggests the method of efficient bandwidth management in the media gateway that can accommodate the various new services as well as the existing voice services by appling to the next generation network.

• Journal of National Security and Military Science
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• s.2
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• pp.91-119
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• 2004

Development of science technology, computer network and software technology has not only changed various areas of the society, but also brought rapid change in the condition and the way of performing war. Historical lessons learned from the war in Iraq tells that military capabilities corresponding to the new paradigms of war needs to be assured in order to preserve national interest and take victory in future warfare. Thus, the performance in the latest war in Iraq, the estimated performance in future war and the performance of war in the Korean Peninsula has been put together and analyzed to indicate the direction our force should be built and the structure to be improved. Under all circumstances and threats the military must defend our nation and territory. When war breaks out the military must perform it's basic duty to end war by decisive operations. As the saying is "To preserve peace, prepare for war," continuous increase of military strength and improvement of military structure corresponding to the change of national security environment and weapon system is necessary.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.11
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• pp.39-45
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• 2004

This paper proposes an algorithm of address analysis for the next-generation networks. That is, we present integrated address analysis of the Numbering Plans of public telecommunication networks such as those of the ATM network. The purpose of implementing software for integrated address analysis is to actively and flexibly cope with a large change of information while operating the system and the network. By designing and implementing a database structure and an address analysis algorithm, interworking is possible among part (local) networks that each have a different Addressing Plan within an integrated network. Proposed relational model database structure has effect that do to manage address information of complicated network efficiently. Also, apply in real environment and proved excellency through interworking test to verify mechanism that propose.

• Journal of Technology Innovation
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• v.6 no.1
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• pp.71-98
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• 1998

This paper analyzes the characteristics of technological knowledge flow-structure of Korean manufacturing in dynamic perspective. In doing that, the concept of the knowledge network is introduced which is defined as a set of industries and their interaction(knowledge flow) or linkage. The analysis of the inter-industrial knowledge flows is based on the technological similarity by using R&D researchers' academic background in the year of 1984, 1987, 1990. The analysis is carried out by such methodology as network analysis, indicator analysis and simple statistical analysis. And the final results are drawn both in absolute terms(dimension effect) and in relative terms(proportion effect) respectively. The main findings are as follow. First, the Korean manufacturing knowledge network appears to strengthen existing inter-industrial knowledge linkages rather than to construct new linkages. Second, the network seems to form a dualistic structure in that some high-technology sectors(knowledge production sectors) emerge along with traditional sectors(knowledge absorbing sectors). Third, since the mid-1980s, an inter-industrial fusion is witnessed among technologically intensive sectors, indicating that some sophisticated innovation modes are emerging in Korean manufacturing system. And fourth, by using the relations of the inter-industrial knowledge-flows, we classified manufacturing industries into 3 type ; knowledge-outflow sector, knowledge-inflow sector and knowledge intermediary sector.

• Proceedings of the KAIS Fall Conference
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• 2009.12a
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• pp.630-632
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• 2009

The parameters of PID controller should be readjusted whenever system character change. In spite of a rapid development of control theory, this work needs much time and effort of expert. In this paper, to resolve this defect, after the sample of parameters in the changeable limits of system character is obtained, these parametrs are used as desired values of back propagation learning algorithm, also neural network auto tuner for PID controller is proposed by determing the optimum structure of neural network. Simulation results demonstrate that auto-tuning proper to system character can work well.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.47-53
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• 2012

Sensor networks and car networks that have different structure from that of conventional TCP/IP network require extreme network environment due to frequent change of connectivity. Because such extreme network environment has characteristics like unreliable link connectivity, long delay time, asymmetrical data transfer rate, and high error rate, etc., it is difficult to perform normally with the conventional TCP/P-based routing. DTNs (delay and disruption tolerant network) was designed to support data transfer in extreme network environment with long delay time and no guarantee for continuous connectivity between terminals. This study suggests an algorithm that limits the maximum number of copying transferred message to L by improving the spray and wait routing protocol, which is one of the conventional DTNs routing protocols, and using the azimuth and density data of the mobile nods. The suggested algorithm was examined by using ONE, a DTNs simulator. As a result, it could reduce the delay time and overhead of unnecessary packets compared to the conventional spray and wait routing protocol.

• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.1-10
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• 2007

The ubiquitous computing system is expected to be widely utilized in digital home, logistics control, environment/disaster management, medical/health-care services and other applications. The ubiquitous sensor network (USN) is a key infra-structure of this system. Nodes in the USN are exposed to adverse environments and required to perform their missions with very limited power supply only. Also the sensor network is composed of much more nodes. In case some node consumes up its power capacity under a certain required level, the network topology should change and re-routing/ re-transmission of data is necessitated. Resultantly communication protocols studied for conventional wireless networks or ad-hoc networks are not suitable for the sensor network. Schemes should be devised to control the efficient usage of node power in the sensor network. This paper proposes a routing algorithm to enhance the efficiency of power consumption for USN node and analyzes its performance by simulation.

• Journal of the Korean Data and Information Science Society
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• v.14 no.3
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• pp.641-651
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• 2003

This study suggests the hybrid models for interest rate forecasting using structural changes (or change points). The basic concept of this proposed model is to obtain significant intervals caused by change points, to identify them as the change-point groups, and to reflect them in interest rate forecasting. The model is composed of three phases. The first phase is to detect successive structural changes in the U. S. Treasury bill rate dataset. The second phase is to forecast the change-point groups with data mining classifiers. The final phase is to forecast interest rates with backpropagation neural networks (BPN). Based on this structure, we propose three hybrid models in terms of data mining classifier: (1) multivariate discriminant analysis (MDA)-supported model, (2) case-based reasoning (CBR)-supported model, and (3) BPN-supported model. Subsequently, we compare these models with a neural network model alone and, in addition, determine which of three classifiers (MDA, CBR and BPN) can perform better. For interest rate forecasting, this study then examines the prediction ability of hybrid models to reflect the structural change.

• Journal of the Korean Ceramic Society
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• v.43 no.2 s.285
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• pp.136-141
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• 2006

The stabilizing behavior of heavy metals in the silicate glass containing Electric Arc Furnace dust (EAF dust) were studied by the Toxic Characterization Leaching Procedure (TCLP) test, and the change of crystalline phase and glass network structure were investigated as a function of EAF dust content added. The glass containing EAF dust of $30\;wt\%$ an oxygen/network former ratio(R) of $2\~3$ allowing a fairly stable network structure thus showed much lower heavy metal leaching concentration than that for containing EAF dust above $50\;wt\%$ at TCLP test. For the glass containing EAF dust $50\~60\;wt\%$, however, the R was over 3, which weakened the glass network structure and increased the heavy metals leachate. Adding the EAF dust to a glass decreased the degree of Si-O-Si symmetry and increased the number of non-bridging oxygen, which decreased the chemical durability of glasses. When the dust content in a glass was over $70\;wt\%$, the Zn and Fe ions reacted to form the spinel crystal rather than to bind to network structure of glass and leaching concentration of those ions from the specimen decreased, so the spinel phase could be attributed to lowering a heavy metal leaching.

• Journal of Information Technology Applications and Management
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• v.14 no.2
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• pp.169-187
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• 2007

Most private and public organizations use, for their works, information systems that change their organizational structures. Nowadays, many organizations have team-based structures where typically a cross functional team is in charge of a business process. The effective communication among the members of a team is an important factor of team performance in that communication facilitates trust building, knowledge exchange, change acceptance, and safety improvement. This paper reviews methods for analyzing communication among team members from three aspects such as the content, the amount, and the structure of communication.