• 정보화사회
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• s.98
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• pp.60-61
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• 1996

1962년 한국케이블공업주식회사로 설립된 LG전선은 금성사와 금성전선, 그리고 1995년 지금의 LG전선으로 이름을 바꾸면서 30여년동안 국내 전산산업을 주도해 왔다.

• NEWSLETTER 전기공업
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• no.95-17 s.138
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• pp.34-37
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• 1995

• Journal of computational fluids engineering
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• v.17 no.1
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• pp.16-22
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• 2012

Acoustic pressure field around the centrifugal fan is predicted by a aero-acoustic splitting method. Unsteady flow field is obtained by solving the incompressible Navier-Stokes equations using commercial code, while the acoustic waves generated inside the centrifugal fan and shroud are predicted by solving the far field acoustics analysis. Computational results show that the acoustic waves of BPF tone are generated by interactions of the blades with the shroud. Acoustic results is validated by experimental results This paper describes the influence of geometric parameters on the noise generation from the section of blades and shroud. One of the effective ways to reduce BPF noise is optimization method using Genetic Algorithm, which effectively minimize eccentricity, is suggested. New improving design was developed by optimization method.

• Computational Structural Engineering
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• v.14 no.3
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• pp.61-64
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• 2001

• Computational Structural Engineering
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• v.11 no.3
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• pp.71-77
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• 1998

• Journal of the Computational Structural Engineering Institute of Korea
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• v.35 no.6
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• pp.357-365
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• 2022

Refrigerant mischarging is one of the most frequently occurring failure modes in air conditioners, and both undercharging and overcharging degrade cooling performance. Therefore, it is important to accurately determine the amount of charged refrigerant. In this study, a support vector machine (SVM) model was developed to multi-classify the refrigerant mischarge through steady-state identification via fuzzy clustering techniques. For steady-state identification, a fuzzy clustering algorithm was applied to the air conditioner operation data using the difference between moving averages. The identification results using the proposed method were compared with those using existing steady-state determination techniques studied through the inversed Fisher's discriminant ratio (IFDR). Subsequently, the main features were selected using minimum redundancy maximum relevance (mRMR) considering the correlation among candidate features, and an SVM multi-classification model was devised using the derived features. The proposed method achieves satisfactory accuracy and robustness from test data collected in the new domain.

• 한국전산유체공학회:학술대회논문집
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• 2006.05a
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• pp.408-411
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• 2006

• Journal of Software Engineering Society
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• v.26 no.3
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• pp.63-76
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• 2013

We need to measure the quality of each module to assess software quality. Especially, in industry, it is important to measure quality of modules quantitatively in order to improve bad modules and reuse good modules. In this paper, we define moduleness as characteristic that modules should be possessed and propose a method to measure software moduleness quantitatively. A case study conducted in this paper shows the usefulness of the method by measuring and evaluating moduleness of modules based on open source software developed by C, C++ and Java languages.

• Journal of computational fluids engineering
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• v.17 no.4
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• pp.103-109
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• 2012

Sound scattering in 3D complex geometry is difficult to model with body-fitted grid. Thus Brinkman Penalization method is used to compute sound scattering in 3D complex geometry. Sound propagation of monitor/TV is studied. The sound field for monitor/TV is simulated by applying Brinkman Penalization method to Linearized Euler Equation. Solid Structure and ambient air are represented as penalty terms in Linearized Euler Equation.

• Journal of Engineering Education Research
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• v.7 no.3
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• pp.32-38
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• 2004

We present a new collaboration model between industry and university through the case study of LG Electronics and Handong Global University. The aim of this education-oriented model is providing highly competitive engineers to the fields instead of accomplishing research projects or developing a new high-end technology. The proposed cooperation model is a win-win strategy for both academia and industry to have not only short-term but also long term benefits. We discuss how to develope and manage the demand-driven course which is the core program of our model. And we also evaluate the pros and cons of this collaboration model.