• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.625-631
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• 2023

This study proposes an analysis model that can reflect the actual behavior of the rail floating track, and the most reasonable model was analyzed through field measurement and numerical analysis. It was analyzed that the current design theory analysis results of rail floating tracks were different from the field measurement results and were not suitable to reflect the actual behavior. In the rail floating track, it was analyzed that the subsidence of the point directly affects the total displacement rather than the displacement due to the bending of the rail. As a result of numerical analysis, it was analyzed that the analysis result of the proposed model, which is a parallel arrangement spring model that does not have a support point directly below the rail, reflects the actual behavior. The analysis model presented in this study can be used to predict track behavior when designing and maintaining rail floating tracks in the future.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.44-51
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• 2005

항만에 위치한 컨테이너 터미널은 수송, 하역, 저장의 기능을 고루 갖춘 대표적인 물류 시스템이다. 터미널이 충분히 제 기능을 수행하여 터미널 생산성을 향상시키기 위해서는 효율적인 레이아웃 설계가 필요하다. 터미널 레이아웃은 초기 터미널 설계단계에서 우선적으로 고려되는 의사결정 부분이며 터미널 운영 및 컨테이너 취급 비용에 중요한 영향을 미치는 요소가 된다. 본 연구에서는 개념 설계에서 구분되어지는 장치장의 배치형태 에서 수평 장치장을 모델로 하였다. 터미널 생산성에 영향을 미치는 이송능력과 적재능력의 효율적인 조정을 위하여, 블록의 배치와 사양에 따른 적재능력과 블록에 설치한 이적지점 개수에 따른 이송능력 대해 시뮬레이션을 통해 분석하고자 한다.

• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.8
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• pp.1854-1868
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• 1995

An effective nesting algorithm has been proposed to allocate the arbitrary shapes on one or several raw sheets by applying the well-known simulated annealing algorithm as the optimization technique. In this approach, both the shapes to be allocated and the raw sheets are represented as the grid-based models. This algorithm can accommodate every possible situations encountered in cutting apparel parts from the raw leather sheets. In other words, the usage of the internal hole of a shape for other small shapes, handling of the irregular boundaries and the interior defects of the raw sheets, and the simultaneous allocation on more than one raw sheets have been tackled on successfully in this study. Several computational experiments are presented to verify the robustness of the proposed algorithm.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.400-402
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• 2001

컴포넌트는 소프트웨어 재사용의 핵심 기술로 인식되고 있으며, 현재 많은 수의 컴포넌트가 개발되고 사용되고 있다[9]. 많은 수의 컴포넌트들 중에서 특정 도메인에 이미 적절하다고 판단된 컴포넌트를 검색해서 사용하는 과정이 필수적이며[6], 이를 위해서 컴포넌트에 대한 정확한 명세서가 뒷받침 되어야 한다. 본 논문에서 다루고 있는 컴포넌트 모델의 하나인 썬(Sun)社의 EJB ver1.1 은 배치설명파일(Deployment Descriptor)을 XML로 기술하고 있으며, DTD로 Validation 체크를 하고 있다. 그러나 DTD 는 표현할 수 있는 데이터 타입에서 한계를 가지며 하나의 XML은 여러 개의 DTD 파일을 가질수 없기 때문에 확장성에서도 취약함을 나타낸다. 이를 해결하기 위해서 XSchema 로 변환하였다. 또한 현재 EJB 의 배치설명파일에서는 컴포넌트의 결합 및 의존성에 대한 표현이 부족하기 때문에 이를 보완하기 위해서 컴포넌트 Contract 에 대한 속성들을 기반으로 하여 새로운 태그를 지정해보도록한다.

• Proceedings of the KIPE Conference
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• 2015.11a
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• pp.165-166
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• 2015

본 논문에서는 기존에 각국에서 제정된 인체에 대한 여러 EMI규격을 제시하고, EV 모델 및 패드의 페라이트 배치 구조에 따라 측정 포인트에서 발생하는 EMI의 값을 비교하여 기존 규격에 적합한 페라이트의 배치를 제안한다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.4
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• pp.447-459
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• 2013

Many problems need to be solved before vision systems can actually be applied in industry, such as the precision of the kinematics model of the robot control algorithm based on visual information, active compensation of the camera's focal length and orientation during the movement of the robot, and understanding the mapping of the physical 3-D space into 2-D camera coordinates. An algorithm is proposed to enable robot to move actively even if the relative positions between the camera and the robot is unknown. To solve the correction problem, this study proposes vision system model with six camera parameters. To develop the robot vision control algorithm, the N-R and EKF methods are applied to the vision system model. Finally, the position accuracy and processing time of the two algorithms developed based based on the EKF and the N-R methods are compared experimentally by making the robot perform slender bar placement task.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.10 no.4
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• pp.87-94
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• 1990

In this study, the block adjustments are perfomed by bundle adjustment method of analytical photogrammetry, and the characteristics of 3-dimensional errors for the objects are analysed. The optimal arrangement and configuration of the control points is selected from various arrangements and configurations of control points, and the accuracies of result obtained by block adjustment and by single model adjustment are compared, And the accuracy of bundle block adjustment is compared with that of the independent model triangulation which is another method in block adjustment with additional parameters by selecting the suitable systematic error model. As a result of this study, an the effective method to improve accuracy in close-range photogrammetry was presented by forming blocks and using bundle block adjustment with proper arrangement and configuration of control poinst.

• Proceedings of KOSOMES biannual meeting
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• 2004.11a
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• pp.57-62
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• 2004

A mariner feels the ship-handling difficulty when the vessel onboard passes through breakwater. Until now, there is no a layout design of breakwater to take into account the ship-handling difficulty for the mariner. 11Us paper reproduced this situation which ship-handling is difficult by using marine traffic flow simulation, and it applied to Environmental Stress Model as the assessment model which is a quantitative model for evaluating the difficulty of ship-handling arising from restriction in maneuvering water areas and arising from traffic congestion The results are as follows. (1) The layout change of breakwater has little influence for reduction of ship-handling difficulty in the areas of vessel traffic volume. (2) In the situation of same breakwater width, difference of ship speed has an effect on decrease of ship-handling difficulty. (3) Expansion of breakwater width decreases ship-handling difficulty quantitatively.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.36 no.4
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• pp.259-264
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• 2023

In this study, we devised a parametric analysis workflow for efficiently analyzing the material properties of 3D woven materials. The parametric model uses wire spacing in the woven materials as a design parameter; we generated 2,500 numerical models with various combinations of these design parameters. Using MATLAB and ANSYS software, we obtained various material properties, such as bulk modulus, thermal conductivity, and fluid permeability of the woven materials, through a parametric batch analysis. We then used this large dataset of material properties to perform a regression analysis to validate the relationship between design variables and material properties, as well as the accuracy of numerical analysis. Furthermore, we constructed an artificial neural network capable of predicting the material properties of 3D woven materials on the basis of the obtained material database. The trained network can accurately estimate the material properties of the woven materials with arbitrary design parameters, without the need for numerical analyses.

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.547-554
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• 2021

In order to quickly and accurately diagnose pneumonia on a chest X-ray image, different batch sizes of 4, 8, 16, and 32 were applied to the same Xception deep learning model, and modeling was performed 3 times, respectively. As a result of the performance evaluation of deep learning modeling, in the case of modeling to which batch size 32 was applied, the results of accuracy, loss function value, mean square error, and learning time per epoch showed the best results. And in the accuracy evaluation of the Test Metric, the modeling applied with batch size 8 showed the best results, and the precision evaluation showed excellent results in all batch sizes. In the recall evaluation, modeling applied with batch size 16 showed the best results, and for F1-score, modeling applied with batch size 16 showed the best results. And the AUC score evaluation was the same for all batch sizes. Based on these results, deep learning modeling with batch size 32 showed high accuracy, stable artificial neural network learning, and excellent speed. It is thought that accurate and rapid lesion detection will be possible if a batch size of 32 is applied in an automatic diagnosis study for feature extraction and classification of pneumonia in chest X-ray images using deep learning in the future.