• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.05a
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• pp.1173-1176
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• 2007

This paper investigates the natural modes and static reponses of modularized floating structure. As an example structure, a floating parking place$(120m{\times}60m)$ is considered. In the evaluation of natural modes and static responses, numerical equations are formulated by FEM(Finite Element Method) and the natural modes are solved by subspace iteration method. By comparing responses of structures of various sizes of module unit, the effect of unit size is also investigated.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05d
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• pp.51-56
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• 1996

In a NNP (Nuclear Power Plant) severe accident, radionuclides are dispersed into the air. The official regulatory institute, KINS (Korea Institute of Nuclear Safety), has been authorized and developing Computerized technical Advisory system for the Radiological Emergency preparedness (CARE). In this paper, in line with the CARE system, we presented the result of a modularized intermediate-level emergency dose assessment computer code. The RADCON (RADiological CONsequence analysis) version 3.0, which is operable on PC, is developed for simulating emergency situation by considering continuous washout phenomena, and provide a function of effective emergency planning. The source files are coded by using C language in order to increase the compatibility with the other computer system and modularized to adjust the functions and characteristics of each module fer easy understanding and further modification.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2002.11a
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• pp.60-67
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• 2002

• Journal of Power Electronics
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• v.7 no.4
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• pp.343-352
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• 2007

This paper proposes a modularized charge equalization converter for hybrid electric vehicle (HEV) lithium-ion battery cells, in which the intra-module and the inter-module equalizer are Implemented. Considering the high voltage HEV battery pack, over approximately 300V, the proposed equalization circuit modularizes the entire $M^*N$ cells; in other words, M modules in the string and N cells in each module. With this modularization, low voltage stress on all the electronic devices, below roughly 64V, can be obtained. In the intra-module equalization, a current-fed DC/DC converter with cell selection switches is employed. By conducting these selection switches, concentrated charging of the specific under charged cells can be performed. On the other hand, the inter-module equalizer makes use of a voltage-fed DC/DC converter for bi-directional equalization. In the proposed circuit, these two converters can share the MOSFET switch so that low cost and small size can be achieved. In addition, the absence of any additional reset circuitry in the inter-module equalizer allows for further size reduction, concurrently conducting the multiple cell selection switches allows for shorter equalization time, and employing the optimal power rating design rule allows fur high power density to be obtained. Experimental results of an implemented prototype show that the proposed equalization scheme has the promised cell balancing performance for the 7Ah HEV lithium-ion battery string while maintaining low voltage stress, low cost, small size, and short equalization time.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.05a
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• pp.541-542
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• 2010

• 한국방재학회:학술대회논문집
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• 2009.02b
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• pp.56.1-56.1
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• 2009

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.117.6-117
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• 2002

$\textbullet$ Functionally modularized robot $\textbullet$ Free from defects of monolithic system $\textbullet$ Modularization based on Reactive paradigm $\textbullet$ Virtual Machine $\textbullet$ Network topology $\textbullet$ Fractionization of robot development scheme $\textbullet$ Development for commercialization of personal robot

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.41-42
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• 2009

• Journal of the Korea Institute of Building Construction
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• v.8 no.6
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• pp.107-115
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• 2008

Bearing wall apartments have been introduced to meet the needs of population growth in metropolis since 1980 in Korea. It is extremely difficult to remodel bearing wall apartments. Noises and vibrations generated between floors are also problems to solve. This paper introduces rahmen structures that enable easy remodel. Modularized Hybrid System(MHS) is demonstrated to be effective in terms of material quantity, construction costs, and amount of $CO_2$ emission compared with those of bearing wall structures. Housings with MHS composite girder ensure the flexibility of architectural plan and easy remodel while the floor heights are maintained the same as bearing wall structures. The reduction of the concrete and reinforcing steels tonnage decreased construction cost of MHS multi-residential housings. The $CO_2$ omission was also diminished in accordance with the reduction of construction materials. This paper describes new structural system adapting MHS frames to propose the extended life of residential housings and reduce the national resources by preventing unnecessary rebuilding of housings.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.202-205
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• 2005

Cell phenotypes are determined by the concerted activity of thousands of genes and their products. This activity is coordinated by a complex network that regulates the expression of genes. Understanding this organization is crucial to elucidate cellular activities, and many researches have tried to construct gene regulatory networks from mRNA expression data which are nowadays the most available and have a lot of information for cellular processes. Several computational tools, such as Boolean network, Qualitative network, Bayesian network, and so on, have been applied to infer these networks. Among them, Bayesian networks that we chose as the inference tool have been often used in this field recently due to their well-established theoretical foundation and statistical robustness. However, the relative insufficiency of experiments with respect to the number of genes leads to many false positive inferences. To alleviate this problem, we had developed the algorithm of MONET(MOdularized NETwork learning), which is a new method for inferring modularized gene networks by utilizing two complementary sources of information: biological annotations and gene expression. Afterward, we have packaged and improved MONET by combining dispersed functional blocks, extending species which can be inputted in this system, reducing the time complexities by improving algorithms, and simplifying input/output formats and parameters so that it can be utilized in actual fields. In this paper, we present the architecture of MONET system that we have improved.