• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.332-332
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• 2010

진공펌프의 배기성능 지표들을 정량적으로 측정하기 위해서 사용하는 표준용기에 관한 규격들은 대체로 일치하는 사양들을 제시하지만 유독 기체도입 도관의 굵기에 대해서는 다양한 방식으로 규정하고 있어서 혼란스럽다. 현재 제정중인 ISO 규격에서는 도관 굵기를 용기 내경의 10분의 1로 규정하고 있는데 대형 펌프 용 표준용기에 맞춘다면 도관의 굵기가 지나치게 커질 수 있다. 과연 이렇게 굵은 도관이 정밀한 측정을 위해 꼭 필요한지 또는 오히려 방해가 되는 것은 아닌지 검토해 보기 위해 도관 굵기에 따라 도관출구를 빠져나오는 입자들과 오리피스 및 펌프 흡기구에 입사하는 입자들의 등방성에 대해 살펴보았다 계산 결과에 의하면 도관의 굵기는 오리피스 및 펌프 흡기구에 입사하는 입자들의 평균 방향 여현 값에 전혀 영향을 미치지 않는 것으로 나타났으며 반면에 도관이 오리피스나 흡기구 면에 국부적으로 그림자를 드리우거나 입자 분포와 평균 방향여현 분포를 왜곡시키지도 않았다. 즉 기체 도입 도관을 가늘게 해도 빔효과가 계속 전파되어서 측정에 악영향을 미치지 않으므로 별 문제가 안 되고, 도관이 규정되어 있는 범위 안에서 어느 정도 굵어져도 입자의 흐름을 방해한다는 증거는 없다는 뜻이다. 그렇다면 도관의 굵기를 한 값으로 못 박기보다 넓은 범위를 주어 가공 능력에 따라 사용자가 적절히 크기를 선택할 수 있도록 하는 것이 합리적이라고 판단된다.

• Journal of Welding and Joining
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• v.7 no.1
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• pp.17-27
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• 1989

용접에 이와 같이 발생하는 용접잔류응력과 변형은 용접구조물의 제작시 여러 가지 장해를 유발 할 뿐만 아니고 그 구조물의 사용중에 있어서도 파괴의 발생 또는 파괴의 전파에 직.간접적으로 기여하여 악영향을 끼치게 된다. 용접잔류응력은 용접구조물의 피로감도를 저하시키거나, 취성균 열 및 응력부식균열의 진전을 용이하게 하며 용접변형은 구조물의 외관을 해치거나 국부적으로 스트레인집중을 초래하여 이 역시 취성파괴의 원인으로 작용하여 구조물의 파괴사고를 유발할 위험성을 내포하고 있다. 따라서 용접변형과 잔류응력을 극도화하기 위한 대책은 용접기술자로 서 용접시공시 유의해야 할 가장 큰 사항의 하나라고 할 수 있다. 보고에서는 이러한 용접변형 과 잔류응력현상에 대해 그 발생기구를 금속학적 측면에서 고찰하고 그 경감대책에 대해서는 구 조물의 형상이나 종류에 따라 각각별개의 대책이 수립되어야 하나 여기서는 보편적인 경우에 한 해 해설하고저 한다.

• Journal of Energy Engineering
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• v.12 no.1
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• pp.42-48
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• 2003

In system planing and operation, voltage and reactive power control is very important. The voltage deviation and system losses can be reduced through control of reactive power sources. In general, there are several different reactive power sources, we used switched shunt capacitor to improve the voltage profile and to reduce system losses. Since there are many switched shunt capacitors in power system, so it if necessary to coordinate these switched shunt capacitors. In this study, Genetic Algorithm (GA) is used to find optimal coordination of switched shunt capacitors in a local area of power system. In case study, the effectiveness of the proposed method is demonstrated in KEPCO's power system. The simulation is performed by PSS/E and the results of simulation are compared with sensitivity method.

• The KIPS Transactions:PartB
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• v.17B no.5
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• pp.355-362
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• 2010

Face tracking is to estimate the motion of a non-rigid face together with a rigid head in 3D, and plays important roles in higher levels such as face/facial expression/emotion recognition. In this paper, we propose an AAM-based face tracking algorithm. AAM has been widely used to segment and track deformable objects, but there are still many difficulties. Particularly, it often tends to diverge or converge into local minima when a target object is self-occluded, partially or completely occluded. To address this problem, we utilize the scale invariant feature transform (SIFT). SIFT is an effective method for self and partial occlusion because it is able to find correspondence between feature points under partial loss. And it enables an AAM to continue to track without re-initialization in complete occlusions thanks to the good performance of global matching. We also register and use the SIFT features extracted from multi-view face images during tracking to effectively track a face across large pose changes. Our proposed algorithm is validated by comparing other algorithms under the above 3 kinds of occlusions.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.31 no.2
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• pp.41-50
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• 2003

In this paper, nonlinear parallel structural analyses are introduced by using the parallel multifrontal solver and damage localization for 2D and 3D crack models is presented as the application of nonlinear parallel computation. The parallel algorithms related with nonliear reduce the amount of memory used is carried out because many variables should be utilized for this highly nonlinear damage analysis. Also, Riks' continuation method is parallelized to search the solution when strain softening occurs due to damage evolution. For damage localization problem, several computational models having up to around 1-million degree of freedoms are used. The parallel performance in this nonlinear parallel algorithm is shown through these examples and the local variation of damage at crack tip is compared among the models with different degree of freedoms.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.4
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• pp.75-86
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• 2004

This paper proposes a method to speed up the document image binarization using a water flow model. The proposed method extracts the region of interest (ROI) around characters from a document image and restricts pouring water onto a 3-dimensional terrain surface of an image only within the ROI. The amount of water to be filed into a local valley is determined automatically depending on its depth and slope. The proposed method accumulates weighted water not only on the locally lowest position but also on its neighbors. Therefore, a valley is filed enough with only one try of pouring water onto the terrain surface of the ROI. Finally, the depth of each pond is adaptively thresholded for robust character segmentation, because the depth of a pond formed at a valley varies widely according to the gray-level difference between characters and backgrounds. In our experiments on real document images, the Proposed method has attained good binarization performance as well as remarkably reduced processing time compared with that of the existing method based on a water flow model.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.8
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• pp.1659-1664
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• 2011

Fuzzy C-Means (FCM) is one of the most widely used clustering algorithms and has been used in many applications successfully. However, FCM has some shortcomings and initial prototype selection is one of them. As FCM is only guaranteed to converge on a local optimum, different initial prototype results in different clustering. Therefore, much care should be given to the selection of initial prototype. In this paper, a new initialization method for FCM using kernel density estimation (KDE) is proposed to resolve the initialization problem. KDE can be used to estimate non-parametric data distribution and is useful in estimating local density. After KDE, in the proposed method, one initial point is placed at the most dense region and the density of that region is reduced. By iterating the process, initial prototype can be obtained. The initial prototype such obtained showed better result than the randomly selected one commonly used in FCM, which was demonstrated by experimental results.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.3
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• pp.715-723
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• 2015

Earthwork in a large construction project such as a land development generally costs 20-30% of the total cost. The earthmoving process, comprising of four repetitive tasks: loading, hauling, unloading, returning, is quite simple and it does not need delicate or advanced techniques. Therefore, earthmoving earthwork planning can heavily affect the cost and time., and Even a slight deviation from the plan can increase or decrease the cost and time. This study presents a planning model that minimizes average haul distance in a large complex construction project. Based on earthwork planning, practitioners' heuristics, a districting algorithm and Simulated Annealing algorithm were employed to build the model. Districting algorithm plays a role that divides in dividing an earthmoving area into several sections. Simulated annealing provides a function that decides whether a new generated solution is confident. Finally, the proposed model was applied to a real earthmoving project of a large land development. It was found that the model showed approximately 14% improvement in average hauling distance compared to the actual design plan.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.3
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• pp.821-831
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• 2014

Stochastic rainfall generators or stochastic simulation have been widely employed to generate synthetic rainfall sequences which can be used in hydrologic models as inputs. The calibration of Poisson cluster stochastic rainfall generator (e.g. Modified Bartlett-Lewis Rectangular Pulse, MBLRP) is seriously affected by local minima that is usually estimated from the local optimization algorithm. In this regard, global optimization techniques such as particle swarm optimization and shuffled complex evolution algorithm have been proposed to better estimate the parameters. Although the global search algorithm is designed to avoid the local minima, reliable parameter estimation of MBLRP model is not always feasible especially in a limited parameter space. In addition, uncertainty associated with parameters in the MBLRP rainfall generator has not been properly addressed yet. In this sense, this study aims to develop and test a Bayesian model based parameter estimation method for the MBLRP rainfall generator that allow us to derive the posterior distribution of the model parameters. It was found that the HBM based MBLRP model showed better performance in terms of reproducing rainfall statistic and underlying distribution of hourly rainfall series.

• Journal of the Society of Naval Architects of Korea
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• v.31 no.3
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• pp.12-18
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• 1994

Optimization in the engineering design is to select the best of many possible design alternatives in a complex design space. In order to optimize, various optimization methods have been used. One major problem of traditional optimization methods is that they often result in local optima. Recently genetic algorithm based on the mechanics of natural selection and natural genetics is used in many application fields for optimization. Genetic algorithm is more powerful to local optima, but it requires more calculation time and has difficulties in finding exact optimum point in design variable with real data type generally. In this paper. hybrid method was developed by coupling genetic algorithm and traditional direct search method. The developed method finds out a region for global optimum using genetic algorithm, and is to search global optimum using direct search method based on results obtained from genetic algorithm. By using hybrid method, calculation time is reduced and search efficient for optimum point is increased.