• 디지털콘텐츠학회 논문지
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• 제9권3호
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• pp.471-481
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• 2008

전력소모를 고려한 테스트 스케줄링은 회로의 복잡도가 높은 SoC 시스템을 테스트할 경우 제한된 전력 소모량 내에서 고장 검출율을 높일 수 있고 테스트 시간을 단축 할 수 있는 효과적인 방법이다. 본 논문에서는 제한된 전력소모량 내에서 효율적으로 테스트를 수행하기 위한 테스트 자원의 모델링 방법 및 테스트 스케줄링 알고리듬을 제안하고 그 유효성을 검증한다. 테스트 자원의 모델링 방법으로는 전력사용량의 최고점과 차고점을 이용한 방법 및 소모 전력의 변화량에 따라 테스트 자원을 분할하는 방법을 제시한다. 또한 테스트 자원과 코어의 상관관계를 이용하여 동시 사용가능한 최대 코어 수를 생성하는 확장나무성장 그래프 생성 알고리듬 및 전력의 최적화가 가능한 전력 소모량 변이 그래프 생성 알고리듬으로 구성된 휴리스틱(heuristic) 테스트 스케줄링 알고리듬을 제안하고 이전의 알고리듬과 비교한다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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• pp.449-453
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• 2008

This research focused on analyzing and comparing between the results of hydraulic physical modeling and the results of numerical modeling of Grass Concrete which is newly developed in-situ block system. The physical model was built as a scale of 1:50 by Froude similitude measuring the water levels and the water velocities for before and after vegetation and the effects were analyzed after reviewing the results. In consequence, the water velocities were observed to decrease meanly 19.1%, and the water depth were determined to increase meanly 27.8% in case of the of design flood, $Q=200m^3/sec$. Moreover, the velocities were produced reduction effects of 27.2%, and the water levels were derived from addition effects of the highest 31.3% in case of the probability maximum flood(PMF), $Q=600m^3/sec$. To verifying the hydraulic physical modeling, the numerical modeling was conducted for a close examination of before and after vegetation. HEC-RAS model was for 1 dimensional numerical analysis and RMA-2 was for 2 dimensional numerical analysis. The results of the numerical simulation, under the condition of roughness coefficient calibration, shows similar results of the physical modeling. These satisfactory results show that the accomplished results of hydraulic modeling and the predicted results of numerical modeling corresponded reasonably each others.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2010년도 학술발표회
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• pp.1439-1442
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• 2010

Time-lag recurrent neural networks model (Time-Lag RNNM) is used to estimate daily pan evaporation (PE) using limited climatic variables such as max temperature ($T_{max}$), min temperature ($T_{min}$), mean wind speed ($W_{mean}$) and mean relative humidity ($RH_{mean}$). And, for the performances of Time-Lag RNNM, it is composed of training and test performances, respectively. The training and test performances are carried out using daily time series data, respectively. From this research, we evaluate the impact of Time-Lag RNNM for the modeling of the nonlinear time series data. We should, thus, construct the credible data of the daily PE using Time-Lag RNNM, and can suggest the methodology for the irrigation and drainage networks system. Furthermore, this research represents that the strong nonlinear relationship such as pan evaporation modeling can be generalized using Time-Lag RNNM.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.473-473
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• 2011

Group method of data handling neural networks model (GMDH-NNM) is used to estimate daily reference evapotranspiration (ETo) using limited climatic variables such as max temperature ($T_{max}$), min temperature ($T_{min}$), mean wind speed ($W_{mean}$), mean relative humidity ($RH_{mean}$) and sunshine duration (SD). And, for the performances of GMDH-NNM, it consists of training and test performances, respectively. The training and test performances are carried out using daily time series data, respectively. From this research, we evaluate the impact of GMDH-NNM for the modeling of the nonlinear time series data. We should, thus, construct the credible data of the daily ETo data using GMDH-NNM, and can suggest the methodology for the irrigation and drainage networks system. Furthermore, this research represents that the strong nonlinear relationship such as ETo modeling can be generalized using GMDH-NNM.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2010년도 학술발표회
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• pp.1596-1599
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• 2010

Group method of data handling neural networks model (GMDH-NNM) is used to estimate daily pan evaporation (PE) using limited climatic variables such as max temperature ($T_{max}$), min temperature ($T_{min}$), mean wind speed ($W_{mean}$), mean relative humidity ($RH_{mean}$) and sunshine duration (SD). And, for the performances of GMDH-NNM, it is composed of training and test performances, respectively. The training and test performances are carried out using daily time series data, respectively. From this research, we evaluate the impact of GMDH-NNM for the modeling of the nonlinear time series data. We should, thus, construct the credible data of the daily PE data using GMDH-NNM, and can suggest the methodology for the irrigation and drainage networks system. Furthermore, this research represents that the strong nonlinear relationship such as pan evaporation modeling can be generalized using GMDH-NNM.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2006년도 학술발표회 논문집
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• pp.204-208
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• 2006

This study is to develop a distributed urban flood runoff model that simulates the road runoff and to test the applicability of the model by applying to Pyeongtaek city of $12.2km^2$. To generate the runoff along the runoff, agree burned DEM (Digital Elevation Model) with road networks was suggested and the proper spatial resolution of DEM was identified finer than 15 m. To test the model applicability, 32 points on the road networks were selected and the hydrographs of each point were generated. The test showed reasonable results that increase the road runoff from the high elevation roads to the low elevation roads and the road runoff considering rainwater drainage from the road also showed reasonable results.

• 한국초등과학교육학회지:초등과학교육
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• 제35권2호
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• pp.265-276
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• 2016

In this study, modeling pedagogies were employed to re-design and teach the unit of Seasonal Changes in the $6^{th}$ grade science curriculum. The effects of the modeling-based program were investigated in both the conceptual and affective domains using an approach of mixing quantitative and qualitative techniques. The result showed that the students in the modeling-based science inquiry classroom gained a higher mean score in a conceptual achievement test than their counterparts in a traditional science classroom. The number of the conceptual resources activated to explain the causes of the seasons, as well as the types of student explanations developed through the combination of the resources activated, were greater in the modeling-based classroom. The modeling-based science inquiry was also effective in improving student attitudes toward science lessons. It was revealed, however, that the students experienced both positive and negative epistemic feelings during the modeling-based science inquiry. Implications of these findings for science education and relevant research were suggested and discussed.

• 전기학회논문지
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• 제57권5호
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• pp.839-844
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• 2008

A novel state of health estimation method for hybrid electric vehicle lithium battery using sliding mode observer has been presented. A simple R-C circuit method has been used for the lithium battery modeling for the reduced calculation time and system resources due to the simple matrix operations. The modeling errors of simple model are compensated by the sliding mode observer. The design methodology for state of health estimation using dual sliding mode observer has been presented in step by step. The structure of the proposed system is simple and easy to implement, but it shows robust control property against modeling errors and temperature variations. The convergence of proposed observer system has been proved by the Lyapunov inequality equation and the performance of system has been verified by the sequence of urban dynamometer driving schedule test. The test results show the proposed observer system has superior tracking performance with reduced calculation time under the real driving environments.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2006년도 학술발표회 논문집
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• pp.22-27
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• 2006

This paper describes the development of the stream-tube based dispersion model for modeling contaminant transport in open channels. The operator-splitting technique is employed to separate the 2D contaminant transport equation into the pure advection and pure dispersion equations. Then the total variation diminishing (TVD) schemes are combined with the second-order Lax-Wendroff and third-order QUICKEST explicit finite difference schemes respectively to solve the pure advection equation in order to prevent the occurrence of numerical oscillations. Due to various limiters owning different features, the numerical tests for 1D pure advection and 2D dispersion are conducted to evaluate the performance of different TVD schemes firstly, then the TVD schemes are applied to experimental data for simulating the 2D mixing in a straight trapezoidal channel to test the model capability. Both the numerical tests and model application show that the TVD schemes are very competent for solving the advection-dominated transport problems.

• 대한전자공학회논문지SD
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• 제41권3호
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• pp.93-100
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• 2004

시스템 온 칩의 테스트 스케줄링은 제한된 전력 사용량 내에서 테스트 시간을 최소화하기 위한 방법들 가운데 하나로서 매우 중요하다. 본 논문에서는 테스트 자원들을 선택하여 그룹화하고 코어 기반 시스템 온 칩 전체 전력소비량을 고려하면서 테스트 시간과 전력소모량의 곱의 크기에 기초하여 이들을 배열하여 스케줄링 하는 휴리스틱 알고리듬을 제안한다. 전력소모량은 최대이면서 제한된 전력 소모량을 초과하지 않는 테스트 자원 그룹을 먼저 선택하고 테스트 자원 그룹 내 요소들의 테스트 시작 위치를 테스트 공간의 초기 위치에 배치하여 테스트 자원들의 낭비시간을 최소화한다. ITC02 벤치마크 회로를 사용한 실험을 통해 알고리듬의 유효성을 보인다.