• Annual Conference of KIPS
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• 2005.05a
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• pp.145-148
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• 2005

전력산업이 전력회사 중심에서 고객 중심의 비즈니스 서비스로 변함에 따라 고객의 요구 충족을 위한 고기능 전력정보서비스 제공의 필요성이 점차적으로 증대되고 또한 데이터 중심에서 정보, 지식 등 특화된 분석정보 제공은 필수불가결한 요소가 되고 있다. 따라서 효율적 활용과 공용을 전제로 검침데이터에 대한 실시간 처리와 효율적 통합관리기술이 필요하다 하겠다. 본 논문은 전력산업 부가가치를 높일 수 있는 무한한 잠재력을 지닌 전략적 자산으로서 검침데이터에 대한 정확한 처리와 효율적 지원으로 고객서비스의 질을 한 차원 높이는 동기를 마련하는 한편, AMR 데이터의 활용과 이용효율성을 극대화하는 방안을 제시하며, 현재 적극적으로 추진되고 있는 전력부사서비스 산업의 활성화에 효과적으로 이용될 것으로 기대한다,

• Proceedings of the KIEE Conference
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• 2001.04a
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• pp.69-71
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• 2001

In this paper, we propose a new communication protocol for remote metering in electric power meters, also define necessary functions for it. The new protocol is based on the international metering protocol. IEC 1107, 62056, DNP 3.0. This protocol has 4-layered architecture, which has physical. data link, lower application, and upper application layers. For each layer, definitions and detailed functions are introduced. The protocol will be used for communication between the meters and the metering computer(or AMR system). KEPCO (Korea Electric Power Corporation) plans to adopt this protocol as a part of a new metering standard for electric power meters.

• Journal of Electrical Engineering and Technology
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• v.7 no.3
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• pp.281-287
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• 2012

The customer load profile clustering method is used to make the TDLP (Typical Daily Load Profile) to estimate the quarter hourly load profile of non-AMR (Automatic Meter Reading) customers. This study examines how the repeated clustering method improves the ability to discriminate among the TDLPs of each cluster. The k-means algorithm is a well-known clustering technology in data mining. Repeated clustering groups the cluster into sub-clusters with the k-means algorithm and chooses the sub-cluster that has the maximum average error and repeats clustering until the final cluster count is satisfied.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.72.1-72.1
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• 2012

Sheen et al. 2012 reported a high fraction of galaxies with post-merger features in clusters. The fraction is much higher than what analytic calculation predicts based on the fact that subhalos inside galaxy clusters have high relative velocities. In this study, we aim to address the origin of the post-merger features and to draw an implication for the assembly history of the cluster galaxies. We have performed high-resolution hydrodynamic zoom-in simulations on a cluster of ~1015M using the publicly available Adaptive Mesh Refinements (AMR) code, RAMSES. From the simulations, we have constructed mock images of cluster galaxies taking into account age, metallicity, mass of stellar populations and extinction. The mock images enable us to directly compare the simulation result with deep observation data of cluster galaxies. We discuss possible scenarios for the origin of the post-merger features. We also discuss caveats and future perspectives from the study.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.28 no.6
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• pp.85-90
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• 2014

This paper shows a reasonable demand power, that was made by the systematic and statistical way considering actual conditions, such as investigated transformer capacity and peak power for the last 6 years of subway substation customer as to AMR. In this dissertation, it is necessary to analyze the key features and general trend from the investigated data. It made an analysis of the feature parameters, such as average, standard deviation, median, maximum, minimum and thus it was carried by the linear and nonlinear regression analysis. And we studied on the application of a BESS. Analysis showed that the revulsion of capital is about 3 years and 4 months.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1842-1843
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• 2007

본 논문에서는 전력 수용가가 원격검침 데이터를 기반으로 웹 화면에 제공되는 프로그램을 이용하여 전력 소비 유형을 이해하고 소비 유형에 맞는 가장 경제적이고 합리적인 요금제를 선택 및 지원할 수 있도록 개발한 전력에너지 컨설팅 시스템의 주요 기능과 본 시스템에 의한 전력 사용 요금 컨설팅 절차와 방법을 소개한다.

• Advances in materials Research
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• v.6 no.4
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• pp.349-361
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• 2017

The nonlinear thermal buckling load parameter of the laminated composite panel structure is investigated numerically using the higher-order theory including the stretching effect through the thickness and presented in this research article. The large geometrical distortion of the curved panel structure due to the elevated thermal loading is modeled via Green-Lagrange strain field including all of the higher-order terms to achieve the required generality. The desired solutions are obtained numerically using the finite element steps in conjunction with the direct iterative method. The concurrence of the present nonlinear panel model has been established via adequate comparison study with available published data. Finally, the effect of different influential parameters which affect the nonlinear buckling strength of laminated composite structure are examined through numerous numerical examples and discussed in details.

• Advances in materials Research
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• v.2 no.2
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• pp.99-109
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• 2013

In the present investigation, nanocomposite films with poly(methyl methacrylate) (PMMA) as a polymer matrix and barium titanate as a filler were prepared by solution casting method. Barium titanate nano particles were prepared using Ti(IV) triethanolaminato isopropoxide and hydrated barium hydroxide as precursors and tetra methyl ammonium hydroxide (TMAH) as a base. The nanocomposite films were characterized using XRD, FTIR, SEM and dielectric spectroscopy techniques. Dielectric measurements were performed in the frequency range 100 Hz-10 MHz. Dielectric constant of nanocomposites were found to depend on the frequency, the temperature and the filler fraction. Dissipation factors were also influenced by the frequency and the temperature but not much influenced by the filler fractions. The 10 wt% of BT-PMMA nanocomposite had the lowest dielectric constant of 3.58 and dielectric loss tangent of 0.024 at 1MHz and $25^{\circ}C$. The dielectric mixing model of Modified Lichtenecker showed the close fit to the experimental data.

• Advances in materials Research
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• v.12 no.1
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• pp.31-42
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• 2023

In the present article, the effects of three thermal relaxation times in living tissue under the three-phaselag (TPL) bioheat model are introduced. Using the Laplace transforms, the analyticalsolution of the temperature and the resulting thermal damagesin living tissues are obtained. The experimental data are used to validate the analytical solutions. By the formulations of Arrhenius, the thermal damage of tissue is estimated. Numerical outcomes for the temperature and the resulting of thermal damages are presented graphically. The effects of parameters, such as thermalrelaxation times, blood perfusion rate on tissue temperature are also discussed in detail.

• Advances in materials Research
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• v.11 no.4
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• pp.351-374
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• 2022

Softening function is the primary input for modeling the fracture of concrete when the cohesive crack approach is used. In this paper, based on the laboratory data on notched beams, an inverse algorithm is proposed that can accurately find the softening curve of the concrete. This algorithm uses non-linear finite element analysis and the damage-plasticity model. It is based on the kinematics of the beam at the late stages of loading. The softening curve, obtained from the corresponding algorithm, has been compared to other softening curves in the literature. It was observed that in determining the behavior of concrete, the usage of the presented curve made accurate results in predicting the peak loads and the load-deflection curves of the beams with different concrete mixtures. In fact, the proposed algorithm leads to softening curves that can be used for modeling the tensile cracking of concrete precisely. Moreover, the advantage of this algorithm is the low number of iterations for converging to an appropriate answer.