• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.225-230
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• 2022

The intelligent home network system integrates various devices in the home into one communication network to provide information sharing, control, and operation environment between devices. This intelligent home network system operates around a home server. Home appliances in the era of the 4th industrial revolution will have numerous home servers in logical areas as the intelligent home network in the home accelerates. Therefore, the need for systematic management of home servers is emerging. We propose an agent system for efficient intelligent smart home server management. The agent system monitors the home server and operating environment for home server management of the intelligent smart home network. By referring to this monitored information, the service module of the home server is managed, and the home server is dealt with whether it is normal or not. In addition, by referring to the information collected by the service agent created in the group management server while migrating the home server, it is possible to deal with integrated meter reading, crime prevention, and topics. And when a new service is applied to the home server, it is registered in the management server and distributed to the home server through the agent, so that the intelligent smart home network can be efficiently managed.

• Journal of Energy Engineering
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• v.17 no.3
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• pp.125-138
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• 2008

In order to diversify energy source and to utilize it effectively, it requires to construct an integrated energy management system in a wide area. This research paper explores the core technology of network construction using wide area energy and applies the technology to the field. In specific, it examines the business model by developing l) construction technology of optimum integrated system for thermal supply on wide area network related IT technology, 2) technology of unutilized energy as heat pump using exhaust gas latent heat, and 3) thermal transportation and storage technology using various sources, and by evaluating the applicability and marketability of the model in the field.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.164-169
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• 2003

In this paper, we propose the integrated Bayesian network framework to reconstruct genetic regulatory networks from genome expression data. The proposed model overcomes the dimensionality problem of multivariate analysis by building coherent sub-networks from confined gene clusters and combining these networks via intermediary points. Gene Shaving algorithm is used to cluster genes that share a common function or co-regulation. Retrieved clusters incorporate prior biological knowledge such as Gene Ontology, pathway, and protein protein interaction information for extracting other related genes. With these extended gene list, system builds genetic sub-networks using Bayesian network with MDL score and Sparse Candidate algorithm. Identifying functional modules of genes is done by not only microarray data itself but also well-proved biological knowledge. This integrated approach can improve there liability of a network in that false relations due to the lack of data can be reduced. Another advantage is the decreased computational complexity by constrained gene sets. To evaluate the proposed system, S. Cerevisiae cell cycle data [1] is applied. The result analysis presents new hypotheses about novel genetic interactions as well as typical relationships known by previous researches [2].

• Journal of KIISE:Software and Applications
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• v.34 no.3
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• pp.219-225
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• 2007

UPnP AV Framework automatically integrates and manages various AV devices that are connected to network as an important component in home network. Therefore, user can access and control AV contents at any time. But, other existing home entertainment systems target multimedia service support that is based on multimedia home server system. In this paper, we propose an integrated home entertainment system (u-MUSE system) that supports remote control service. It can manage application in remote AV device or control AV contents directly in home network environment. The proposed system sufficiently performs role of control center for electronic devices in home via integrated system control and AV contents playback service.

• Convergence Security Journal
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• v.7 no.4
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• pp.1-8
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• 2007

Currently, the needs of open standard and integrated network, and also applications of Ethernet network based system are increasing. By applying and expanding TCP/IP based network technology from high to low control level, factory automation application has been implemented, and thus integrated factory automation system has been accomplished, which is directly interoperable between high level management program and DB system. This paper proposes a communication control device which is based on Ethernet/IP standard system for factory automation. The proposed system is workable in the environment of a network system, which is based on CIP standard interface technology. The proposed system can also contribute to improve data communication characteristics.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.21 no.2
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• pp.110-120
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• 2010

In this paper, we propose a tunable SIW(Substrate Integrated Waveguide) using dielectric screws for eliminating the phase imbalance of large size power distribution networks(PDN). Alumina screws partially inserted into several through holes of the tunable SIW section effectively change the phase shift without S-parameter degradation. ${\pm}33.9^{\circ}$ measured phase imbalance of a large conventional 9 GHz SIW-PDN of $370\;mm{\times}195\;mm$ size has been greatly reduced to ${\pm}4.65^{\circ}$. We expect that the proposed tunable SIW plays an important role for a light-weight, high performance substrate integrated phased array system(Si-PAS) and large size SIW circuit applications.

• Knowledge Management Research
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• v.16 no.2
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• pp.67-89
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• 2015

Improving productivity of knowledge workers is an important issue in the 21st century referred as knowledge-based society. The core key word is knowledge sharing among constituents of an organization. The purpose of this study is to combine the social network position factors with attitude and behavior factors, and develop an integrated research model for the knowledge sharing among members of an organization. This study adopted the integrated theoretical framework based on social capital, self-efficacy, transactive memory, and knowledge sharing. Surveys were conducted to 42 organizational members from a department in a leading IT outsourcing company to empirically test the proposed research model. In order to validate the proposed research model, social network analysis tool, UCINET, a structural equation modeling tool, SmartPLS, were utilized. The empirical result showed that, first of all, organizational members' familiarity network position had significant influence on knowledge self-efficacy and transactive memory capability. Second, knowledge self-efficacy and transactive memory capability affected knowledge sharing intention. Third, knowledge sharing intention also had an impact on the job performance. However, organizational members' expertise network position had no significant influence on knowledge self-efficacy and transactive memory capability. This finding reveals the importance of the emotional approach rather than the rational approach in knowledge management. The theoretical and practical implications on the research findings were discussed along with limitations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.273-276
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• 2006

At an integrated steel mill, various raw material such as coal and iron ore are unloaded from a large ship. The unloaded raw material is then transported to storage yards through a complex belt conveyer network. We propose an optimization model for scheduling the unloading operations under the limitations of available berths, unloading equipments and transportation capacity of the belt conveyer network. We show that the problem is NP-Hard and propose a heuristic approach to the problem.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1996.10a
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• pp.223-226
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• 1996

One of the consideration issue in implementation and maintanence of CIM(Computer Integrated Manufacturing) database is exchange and sharing of information between heterogeneous databases. For efficient operating of SIM systems, it must be able to organize and to manage the information. In this paper, we propose method that can make enhance the efficiency of CIM database, classfying the data in database using self organize neural network to each database systems, and computing between classfied heterogeneous database using extended operator that is defined.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.43
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• pp.67-79
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• 1997

In this paper we develop the integrated software that can compare algorithms of the minimum cost flow problem using PC. The chosen algorithms are the network simplex method, dual network simplex method, and out-of-kilter method, which methods correspond to primal, dual, and primal-dual approach respectively. We also present the improved methods obtaining the initial solution to increase the efficiency of algorithms, and experiment results shown the difference between the entering(dropping) selection rules.