• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.904-907
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• 2005

본 연구에서는 강우량의 실측치인 자동기상관측소(AWS) 자료와 현재의 대기상태인 인공위성(GMS-5호) 자료를 입력자료로 하여 현재부터 3시간 선행시간까지의 면적평균강우량을 예측할 수 있도록 강우예측 신경망 모형을 개발하였으며, 2002년 8월 집중호우시 남강댐 유역에 적용하였다. 신경망 모형의 학습을 위해서 $1998\~2001$년 $6\~9$월과 2002년 6, 7월의 강우사상과 적외선 자료가 사용되었고, 학습이 종료되면 예측기간(2002년 8월 $6\~16$일)동안의 강우예측이 수행되었다. 신경망 모형의 학습단계에서는 자료들간의 비선형 상관관계를 나타내는데 적합한 역전파 알고리즘 학습방법 중 모멘텀법을 사용하였으며, 신경망 모형의 출력값은 현재부터 3시간 후까지의 면적평균강우량을 예측할 수 있도록 구성하였다. 예측된 면적평균강우량은 실제 관측된 강우량의 패턴은 잘 따르고 있었지만 첨두치를 과소평가하는 경향이 나타났다. 본 연구에서 개발된 신경망 모형은 관측된 강우자료의 품질과 패턴이 모형의 정확성에 미치는 영향이 절대적인 기존의 신경망 모형과 차별화하여, 현재의 대기상태를 나타내는 인공위성 자료를 추가함으로써 보다 정확한 강우량 예측이 가능하도록 하였다.

• Proceedings of the Materials Research Society of Korea Conference
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• 2003.11a
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• pp.53-53
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• 2003

최근 높은 유전상수와 잔류 분극, 비선형 등의 다양한 유전적인 특성으로 인해 산화물 박막이 많은 관심을 가지고 연구되어지고 있다. 많은 산화물 박막중에서도 BaTiO3/SiTiO3 (BTO/STO) 인 공격자는 STO나 BTO 또는 (Ba$_{0.5}$ Sr$_{0.5}$)TiO$_3$ (BST)등의 고용체들과 비교했을 때 아주 뛰어난 유전적인 성질을 나타내고 있다. 특히 1000 $\AA$ 이하의 낮은 두께에서도 높은 유전상수와 비선형도를 가진다는 사실이 선행된 실험에서 밝혀졌는데 BTO와 STO를 각각 2 unit cell (8 $\AA$)로 고정 시킨 후 다층 박막으로 제작했을 때 가장 큰 유전 특성을 얻을 수 있었다. 이런 뛰어난 유전적인 성질은 BTO와 STO 각 층의 두께와 주기 변화에 따른 박막 내부의 인위적인 stress와 그에 따른 격자 변형과 아주 밀접한 관계가 있음으로 생각되어진다. 따라서 이런 두 계면에서의 stress와 격자 변형을 더욱 정착하게 분석하기 위해서는 각 층을 원자 단위로 정확하게 두께 제어를 하고 증착되어지는 과정중에서의 growth mode를 확인하는 것이 무엇보다 중요한 일이다.

• 대한공업교육학회지
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• v.34 no.2
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• pp.396-410
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• 2009

The goal of this work is to present an advanced method of an estimation of the Modeling Uncertainties coming up in industrial rigid robot's manipulator and actuators. First, with the given physical robot model, the motion equation was derived. Considering a fictitious model, a new extended motion equation is developed. Based on this extended model, an observer and observer bank are designed for the estimation of modeling uncertainties which are involving the effects of gravity, friction, mass unbalance, and Coriolis which show the nonlinear characteristics in operation states.

• Journal of Advanced Navigation Technology
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• v.18 no.5
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• pp.455-460
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• 2014

The system performance is analized for the optimal design of the transmission links with dispersion management and optical phase conjugation for compensating for the optical signal distortion due to the group velocity dispersion and optical nonlinear Kerr effects in the long-haul optical transmission system. That is, the effect of the relation of the residual dispersion in both half transmission sections with respect with optical phase conjugator (OPC) on the net residual dispersion (NRD) is assessed. It is conformed that the best compensation is obtained in NRD of 10 ps/nm, which is only controlled by the difference of the residual dispersion between each half transmission sections.

• Journal of Advanced Navigation Technology
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• v.17 no.1
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• pp.16-23
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• 2013

The effects of dispersion coefficient of dispersion compensating fiber (DCF) and residual dispersion per span (RDPS) on in the dispersion managed optical links for compensating the distorted 960 Gbps wavelength division multiplexd (WDM) signals due to group velocity dispersion (GVD) and optical nonlinear effects of single mode fiber (SMF) are investigated. It is confirmed that optimal net residual dispersion (NRD), which greatly affects compensating for optical signals, should be induced under the large launch power condition, irrelevant on the considered dispersion coefficient of DCF and RDPS. It is also confirmed that system performances are greatly improved by selecting the very small RDPS and very large dispersion coefficient of DCF.

• Journal of the Korea Computer Industry Society
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• v.2 no.3
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• pp.377-388
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• 2001

Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach restricted within a full understanding of every interrelationships among the parameters. This paper use fuzzy logic system that is capable of uniformly approximating any nonlinear function and applying cognitive psychology theory. First of all, we extract multiple regression equation from the factors of 12 software complexity metrics collected from Java programs. We apply cognitive psychology theory in program volume factor, and then measure program volume complexity to execute fuzzy learning. This approach is sound, thus serving as the groundwork for further exploration into the analysis and design of software metrics.

• Tunnel and Underground Space
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• v.17 no.6
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• pp.453-463
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• 2007

Terzaghi's tunnel pressure theory is generally used to estimate primary design pressures on tunnel support for shield and urban NATM tunnels until now. A trial is made in this paper to investigate the interaction between the ground deformation behavior and Terzaghi's tunnel pressure, which assumes pound's limit (or critical) state, by considering results of 'Terzaghi's tunnel pressure theory. two-dimensional reduced-scale model tunnel tests and nonlinear numerical analysis based on strain softening modeling. A full understanding between tunnel pressure and ground deformation behavior under the tunnel excavation and an effective utilization of this interaction lead to an economical tunnel support design and a safe construction of tunnel.

• Journal of Korean Society of Steel Construction
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• v.15 no.4 s.65
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• pp.413-422
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• 2003

Most engineers tend to rely on their intuition or existing data in formulating structural design or preliminary estimate of various conditions. Because of these variations, the artificial neural network is used as an alternative design model of the warren truss since it can handle uncertainty through the probability method. This research validated the approximate structural design model of the warren truss, with its proper parameter values of the neural network and design process falling within 10 percent torrence of the different designs that resulted between this model and the MIDAS program. The suggested model for the process was adapted for the truss design using the member section table, while time saving and efficiency are based on the allowed range of torrence.

• The Journal of Engineering Research
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• v.6 no.1
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• pp.53-63
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• 2004

In this paper, influence of shear on the seismic performance and failure mode of reinforced concrete piers subjected to earthquake loading is investigated. Comparative study has been carried out for reinforced concrete column tests to verify the shear-axial interaction model presented in this paper. Comparison shows that predicted shear hysteretic response agrees well with the test results. Also conducted is a nonlinear time-history analysis of a reinforced concrete bridge damaged by the Kobe earthquake using the current development. Displacement response for piers reveals that maximum displacement is considerably increased due to the effect of shear coupled with axial force variation, which leads to overall stiffness degradation and period elongation. It is therefore concluded that the response considering both shear and axial force gives better explanation regarding the seismic damage evaluation of reinforced concrete bridge piers.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.15 no.2
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• pp.329-339
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• 2002

This research presents a systematic design procedure for supplemental viscoelastic dampers required to satisfy the given performance objectives using capacity spectrum method. To obtain required damper size, the amount of supplemental damping was computed from effective damping minus equivalent damping and inherent damping of structure. In the case of viscoelastic damper, iterative procedure is required because of the inherent stiffness of the damper. To verify the design method proposed in this study, parametric studies were performed for single degree of freedom systems with design variables. The method was also applied to a 10-story steel framed structure and the earthquake responses were obtained. According to time history analysis result the controlled displacements turned out to be close to the target displacement regardless of the design parameters.