• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.5
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• pp.110-119
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• 2009

In this study magnetic fields near electric power lines with branch lines which have a arbitrary angle were derived and formulated by dipole antenna theory and could be calculated easily using the formula. It seems that those formula could be applicable to the consideration of magnetic fields during the design of distribution lines with branch lines. As an example those formulated equations on elements of magnetic fields were applied to a model of 3 phase distribution lines with branch lines and calculated by Matlab programs and the results were presented The analyzed results are follows. The resultant magnetic field is dominated by the componant By all over y-axis in the case of the smaller branched angle $\alpha$ and the lower observed point z. In case of ${\alpha}=\frac{\pi}{2}$[rad], the resultant field is affected by the componant Bx. The resultant field is dominated by the componant Bz at the vicinity of the power lines and it shows very large value at the branch line position of y-axis in case of ${\alpha}>\frac{\pi}{2}$.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.6
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• pp.731-742
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• 2010

Modeling of rubber for design or analysis often requires confusing or complex work because there are a large number of constitutive models to be considered. Some models have few material constants, while others have many. Researchers have to prepare and fit extensive experimental data with caution and discretion. In this paper, we first compared some typical rubber models in which deformation was carried out by stretching up to around eight times the original size. We conclude that continuum-based models and chain molecular models can be used in the study of the small deformation in most engineering applications, but chain molecular models are preferred in the study of the large deformations in most biomaterial applications. As discrimination problems, Treloar's patch and cylindrical balloon stick are tested theoretically and numerically for studying bifurcation. In the case of Treloar's patch, by using the Kearsley's equation, we show that bifurcation exists for continuum-based models but not for chain molecular models. Both models show bifurcation in the cylindrical balloon stick. Therefore, in the analysis of the bifurcation of rubber showed that its existence also depends on the constitutive model selected.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.153-161
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• 2017

Branching processes which is used for epidemic dispersion as stochastic process model have advantages to estimate parameters by real data. We have to estimate both mean and dispersion parameter in order to use the negative binomial distribution as an offspring distribution on branching processes. In existing studies on biology and epidemiology, it is estimated using maximum-likelihood methods. However, for most of epidemic data, it is hard to get the best precision of maximum-likelihood estimator. We suggest a Bayesian inference that have good properties of statistics for small-sample. After estimating dispersion parameter we modelled the posterior distribution for 2015 Korea MERS cases. As the result, we found that the estimated dispersion parameter is relatively stable no matter how we assume prior distribution. We also computed extinction probabilities on branching processes using estimated dispersion parameters.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.14-24
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• 2018

Several typical hyper-elastic constitutive models that encompass both conventional and advanced ones were investigated for the application of instability problems, including the biaxial tension of a rubber patch and inflation of spherical or cylindrical balloons. The material models included the neo-Hookean model, Mooney-Rivlin model, Gent model, Arruda-Boyce model, Fung model, and Pucci-Saccomandi model. Analyses can be done using membrane equations with particular strain energy density functions. Among the typical strain energy density functions, Kearsley's bifurcation for the Treloar's patch occurs only with the Mooney-Rivlin model. The inflation equation is so generalized that a spherical balloon and tube balloons can be taken into account. From the analyses, the critical material parameters and limit points were identified for material models in terms of the non-dimensional pressure and inflation volume ratio. The bifurcation was then identified and found for each material model of a balloon. When the finite element method was used for the structural instability problems of rubber-like materials, some careful treatments required could be suggested. Overall, care must be taken not only with the analysis technique, but also in selecting constitutive models, particularly the instabilities.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.6
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• pp.61-66
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• 2008

In railroad operation, turnout is the device designed to provide very critical functions of moving the train to the neighboring rail. It's the only movable section among the rail and track equipment, which has a complicated structure and as rapid movement between the wheel and rail during operation is unavoidable, the safety and the vibration caused by the impact load of the passing train becomes always the major concern. Response to rail vibration tends to vary depending on physical properties of the rail, rail base and the ground, making it difficult to estimate the quantitative outcome through the measurement. Thus, experimental or empirical approach, rather than an analytic method, has been more commonly employed to deal with the ground vibration. To predict the vibration of the turnout, an experimental value and the measured values are applied in parallel to the factors with a high degree of uncertainty. This study hence was intended to compare and analyze the vibration values measured at the crossing part of manganese turnout by type of train and turnout and distance, as well as predict the intensity of vibration generated at the crossing part of manganese turnout when tilting train accelerates.

• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.19-30
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• 2008

Branch history is one of major input vectors in branch prediction. Therefore, the Proper use of branch history plays a critical role of improving branch prediction accuracy. To improve branch prediction accuracy, this paper proposes a new branch history management policy, based on interrelationship analysis of instructions. First of all, we propose three different algorithms to analyze the relationship: register-writhing method, branch-reading method, and merged method. Then we additionally propose variable input gshare predictor as an implementation of these algorithms. In simulation part, we provide performance differences among the algorithms and analyze their characteristics. In addition, we compare branch prediction accuracy between our proposals and conventional fixed input predictors. The performance comparison for optimal input branch predictor is also provided.

• Journal of the Korean Society for Railway
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• v.20 no.2
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• pp.210-222
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• 2017

Railway turnout systems play a key role in railway systems that change train directions. The turnout systems are one of the weakest systems in railway systems, and consecutive maintenance is required. A turnout diagnostic system can automatically measure the turnout status and its deterioration. To diagnose the turnout systems, we follow conventional maintenance procedures and need to identify their physical characteristics to coincide the procedures and the characteristics. According to the physical characteristics, we should choose and install adequate sensors on the turnout systems to measure their physical characteristics. We studied the phenomenon of the turnout system responses for point moving and train running on the turnout systems. We installed sensors on the turnout system in a revenue line to measure the identified physical quantities and to reveal the robustness of the sensors under the turnout system environment.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.1
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• pp.33-40
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• 2007

Processor pipelines have been growing deeper and issue widths wider over the years. If this trend continues, the branch misprediction penalty will become very high. Branch misprediction is the single most significant performance limiter for improving processor performance using deeper pipelining. Therefore, more accurate branch predictor becomes an essential part of modern processors. Several branch predictors combine a part of the branch address with a fixed amount of global branch history to make a prediction. These predictors cannot perform uniformly well across all programs because the best amount of branch history to be used depends on the program and branches in the program. Therefore, predictors that use a fixed history length are unable to perform up to their potential performance. In this paper, we propose a branch prediction mechanism, using variable length history, which predicts using a bank having higher prediction accuracy among predictions from five banks. Bank 0 is a bimodal predictor which is indexed with the 12 least significant bits of the branch address. Banks 1, 2, 3 and 4 are predictors which are indexed with different global history bits and the branch PC. In simulation results, the proposed mechanism outperforms gshare predictors using fixed history length of 12 and 13 , up to 6.34% in prediction accuracy. Furthermore, the proposed mechanism outperforms gshare predictors using best history lengths for benchmarks, up to 2.3% in prediction accuracy.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.42 no.1
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• pp.9-26
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• 2005

In the pursuit of ever higher levels of performance, recent computer systems have made use of deep pipeline, dynamic scheduling and multi-issue superscalar processor technologies. In this situations, branch prediction schemes are an essential part of modem microarchitectures because the penalty for a branch misprediction increases as pipelines deepen and the number of instructions issued per cycle increases. In this paper, we propose a novel branch prediction scheme, direction-gshare(d-gshare), to improve the prediction accuracy. At first, we model a neural network with the components that possibly affect the branch prediction accuracy, and analyze the variation of their weights based on the neural network information. Then, we newly add the component that has a high weight value to an original gshare scheme. We simulate our branch prediction scheme using Simple Scalar, a powerful event-driven simulator, and analyze the simulation results. Our results show that, compared to bimodal, two-level adaptive and gshare predictor, direction-gshare predictor(d-gshare. 3) outperforms, without additional hardware costs, by up to 4.1% and 1.5% in average for the default mont of embedded direction, and 11.8% in maximum and 3.7% in average for the optimal one.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1286-1290
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• 2006

방수로는 홍수 피해 경감을 사용되는 구조적 대책으로 최근 국내에서 널리 계획되고 있다. 이러한 방수로는 대체로 보통 횡월류위어 등으로 대표되는 유입부 구조물을 통하여 본류에 연결되지만, 평상시에도 본류의 유량을 일부 분담하는 형태로 설계되는 젖은 하도(wet channel) 형태의 방수로는 별도의 유입부 구조물을 설치하지 않고 바로 본류에 연결되는 것이 일반적인 형태이다. 일반적으로 유입부 구조물을 통해 연결되는 방수로의 특성은 유입부 구조물의 수리학적인 특성에 의해서 많이 좌우된다. 이에 반해 젖은 하도 형태의 방수로는 방수로의 폭(W), 방수로 유입되는 흐름의 유입각$(\theta)$등에 의해서 많이 좌우되며, 만약 설계된 방수로의 횡단면 형상이 사다리꼴 또는 직사각형 단면을 따른다면 이러한 흐름은 '제한된 영위어고 횡월류위어 흐름(restricted zero-height side weir flow)'으로 분류할 수 있다. 이러한 조건에서의 흐름은 일반적인 횡월류위어에서의 흐름과 상당히 다른 것으로 알려져 있다. 본 연구에서는 이러한 방수로 분기 조건을 다양하게 구현할 수 있는 실험 수로를 설치하여 방수로 폭을 변화시키면서 실험을 수행하였으며, 분기 조건의 변화에 따른 분수로 유입부분에서의 수리학적특성을 분석하였다.