• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.4
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• pp.146-153
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• 2004

This paper presents a discrete analysis approach to investigate the performance of dual mass flywheel (DMF). In the discrete analysis, arcspring installed between the flywheels is modeled as N- discrete elements. Each element consists of mass, spring and nonlinear friction element. LuGre friction model is used to describe nonlinear friction characteristic. Based on the dynamic models of the DMF, clutch, engine, manual transmission and vehicle, a DMF performance simulator is developed using MATLAB Simulink. Simulation results of the engine speed, driveshaft torque and vehicle velocity are compared with test results. It is found that the discrete DMF model describes the vehicle behavior closely, especially during the clutch actuation period.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.29 no.5
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• pp.405-411
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• 2016

This paper presented the theory related to a two dimensional linear cross-sectional analysis, recovery relationship and a one-dimensional nonlinear beam analysis for composite beam with initial twist and high aspect ratio. Using VABS including related theory, preceding research data of the composite wing structure has been modeled and compared. Cross-sectional analysis was performed and 1-D beam was modeled at cutting point including all the details of real geometry and material. The 3-D strain distribution and margin of safety at recovery point was calculated based on the global behavior of the 1-D beam analysis and visualize numerical results.

• Journal of Navigation and Port Research
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• v.27 no.5
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• pp.539-546
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• 2003

The numerical model of the flow analysis by finite element technique is described. The Galerkin method is employed for spatial discretization Two step explicit finite element scheme is used to discretize the time function, which has advantage in problems treating large numbers of elements and unsteady state. Two dimensional hydrodynamic model considering moving boundary condition is developed. Also it applied flow model which develop on flow portion of ideal fluid in the model flume and verified, and the results of this study confirm the efficiency of moving boundary treatment in Jeju harbor. The computed results have shown the good adaptability of moving boundary condition From these studies, it can be concluded that the present method is a useful and effective tool in tidal flow analysis.

• Journal of the Korean Society of Propulsion Engineers
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• v.4 no.4
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• pp.59-69
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• 2000

A numerical analysis based on two-dimensional, incompressible and compressible Navier-Stokes equations was carried out for double circular arc compressor cascade and the results are compared with available experimental data. The incompressible code based on SIMPLE algorithm adopts pressure weighted method and hybrid scheme for the convective terms. The compressible code with preconditioning method involves a upwind-biased scheme for the convective terms and LU-SGS scheme for temporal integration. Several turbulence models are evaluated by computing the turbulent viscous flows; Baldwin-Lomax, standard $\kappa$ -$\varepsilon$, $\kappa$ -$\varepsilon$ Lam. Bremhorst, standard $\kappa$-$\omega$, $\kappa$ -$\omega$ SST model.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 1999.04a
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• pp.257-258
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• 1999

• Journal of the Korea Society for Simulation
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• v.21 no.4
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• pp.35-46
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• 2012

As complexity of real-time systems is being increased ad hoc approaches to analysis of such systems would have limitations in completeness and coverability for states space search. Formal means using a model-based approach would solve such limitations. This paper proposes a model-based formal method for logical analysis, such as safety and liveness, of real-time systems at a discrete event system level. A discrete event model for real-time systems to be analyzed is specified by DEVS(Discrete Event Systems Specification) formalism, which specifies a discrete event system in hierarchical, modular manner. Analysis of such DEVS models is performed by Communicating DEVS (C-DEVS) formalism of a timed global state transition specification and an associated analysis algorithm. The C-DEVS formalism and an associated analysis algorithm guarantees that all possible states for a given system are visited in an analysis phase. A case study of a safety analysis for a rail road crossing system illustrates the effectiveness of the proposed method of the model-based approach.

• 전기의세계
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• v.45 no.12
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• pp.12-19
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• 1996

본고에서는 전기기기의 해석 및 설계에 필요한 여러 기술들을 간략히 소개하고자 한다. 설계의 초기 단계에서 시스템의 전체적인 기본 특성 파악에 주로 사용되는 자기 등가회로에 의한 방법과 이산화된 모델에 수치 해석적 원리를 적용하여 보다 정확하고 국부적인 특성을 파악하는데 사용되는 수치 해석 방법을 중심으로 설명하고자 한다. 그리고, 위의 방법들로 해석, 설계된 연구 결과 및 동향과 앞으로의 전개 방향에 대해서도 고찰하고자 한다. 소개되는 연구 결과는 여러 가지 전기기기 중에서도 주로 메카트로닉스 분야에서 사용되는 영구자석 전동기와 유도기 및 영구자석 lifting 시스템 등을 중심으로 서술하고자 한다.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.3021-3023
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• 1999

엄격한 시간 제약성에 의해 특성화되는 실시간 시스템의 성능을 평가하기 위해서 퍼지-랜덤 변수가 포함된 이산 사건 모델을 제시한다. 실시간 시스템의 정확성은 출력의 논리적 결과 뿐 아니라 반응시간에도 의존하므로, 본 논문에서는 실시간 시스템의 성능을 유연하게 평가하기 위해서 퍼지-랜덤 변수에 의해 적절하게 변형된 상태 오토마타를 제시하고 그 오토마타를 적용한 수치 예제를 제시한다.

• Journal of Energy Engineering
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• v.10 no.1
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• pp.33-39
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• 2001

석탄화력발전소에 정착되는 고속분립체 이송용 곡관의 내마모성 향상에 관한 수치해석 및 실험적 연구를 수행하였다. 22.5$^{\circ}$와 90$^{\circ}$ 곡관을 모델로 하여, 분립체에 의한 곡관의 마모를 감소시키기 위해 유동방향이 전환되는 부분에 와류장이 형성되도록 곡관의 단면형상을 변화시켰다. 삼차원, 난류유동장의 지배방정식을 유한체적법으로 이산화시키고, SIMPLE 알고리즘을 이용하여 해를 구하였다. 수치해석을 통해 마모감소를 위한 새로운 형상의 곡관을 설계하였다. 새로운 형상의 곡관을 제작, 운전중인 국내 화력발전소에 장착하여 마모실험을 수행하였으며 내마모성이 매우 향상되었음을 알 수 있었다.

• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.29-39
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• 2021

As damages to individuals, private sectors, and businesses increase due to newly occurring cyber attacks, the underlying network security problem has emerged as a major problem in computer systems. Therefore, NIDS using machine learning and deep learning is being studied to improve the limitations that occur in the existing Network Intrusion Detection System. In this study, a deep learning-based NIDS model study is conducted using the Convolution Neural Network (CNN) algorithm. For the image classification-based CNN algorithm learning, a discrete algorithm for continuity variables was added in the preprocessing stage used previously, and the predicted variables were expressed in a linear relationship and converted into easy-to-interpret data. Finally, the network packet processed through the above process is mapped to a square matrix structure and converted into a pixel image. For the performance evaluation of the proposed model, NSL-KDD, a representative network packet data, was used, and accuracy, precision, recall, and f1-score were used as performance indicators. As a result of the experiment, the proposed model showed the highest performance with an accuracy of 85%, and the harmonic mean (F1-Score) of the R2L class with a small number of training samples was 71%, showing very good performance compared to other models.