• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.787-790
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• 2005

최근 엔터프라이즈 애플리케이션을 개발하는데 있어서 J2EE 이 중심 기술로 부각되었다. J2EE의 핵심 기술이라고 할 수 있는 EJB 는 컴포넌트 기반 분산 객체 시스템을 개발하는데 있어서 생산성 향상 및 유지 보수성 등에 있어서 장점이 있지만, 성능 등에 문제점이 발견되었다. J2EE 기반으로 개발된 엔터프라이즈 애플리케이션의 성능 저하 부분을 측정하여 그 요인을 알아낸다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2011.11a
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• pp.450-453
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• 2011

최근 국내 성능 위주 설계에 대한 관심이 고조되고 있다. 이에 규약 중심의 국내 스프링클러 시스템의 성능 위주 설계에 도움이 되고자 NFPA 13의 스프링클러 시스템 설계를 보다 해석하기 쉬운 기법을 소개하여 국내 스마트 소방산업에 기여하고자 함에 있다.

• Proceedings of the KIEE Conference
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• 2006.07b
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• pp.909-910
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• 2006

본 논문에서는 액체의 가열을 위한 유도가열기에서 와전류가 발생하는 중심코어의 형태에 따른 유도가열기의 성능을 비교하였다. 특히 코어가 여러 층의 도체로 이루어졌을 경우의 시스템 성능의 변화에 대한 해석과 실험을 수행하였다. 유도가열의 수치적인 해석은 상용 프로그램인 Maxwell을 사용하였으며, 실험을 통하여 유한요소해석 모델을 검증하였다. 본 연구를 통하여 가열되는 코어가 여러 층으로 이루어져 있을 경우 유도가열기의 성능이 향상됨을 알 수 있었다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.94-96
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• 2004

시스템 환경이 발전하면 할수록 발생되는 문제점은 다양하게 나타날 수 있으며, 정확한 원인을 신속하게 찾아내고 적절한 복구 조치를 수행하기 위해서는 시스템 성능 모니터링 기술이 필수적이다. 기존의 텍스트나 웹 기반 모니터링 방식 등 주로 유선 중심의 모니터링 방식에서는 언제 어디서나 필요로 하는 정보를 얻는데 한계가 존재한다. 본 논문은 실시간적인 무선 기반의 성능 모니터링 시스템을 구현한다. 구현된 시스템은 언제 어디서나 즉각적으로 시스템 관리자에서 정보를 제공할 수 있는 장점이 있다.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.1-11
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• 2020

In this paper, we present a technique that executes MPI parallel programs, that are developed on processor-centric computer architecture, more efficiently on memory-centric computer architecture without program modification. The technique we present here improves performance by replacing low-speed data communication over the network of MPI library functions with high-speed data communication using the property called fast large shared memory of memory-centric computer architecture. The technique we present in the paper is implemented in two programs. The first program is a modified MPI library called MC-MPI-LIB that runs MPI parallel programs more efficiently on memory-centric computer architecture preserving the semantics of MPI library functions. The second program is a simulation program called MC-MPI-SIM that simulates the performance of memory-centric computer architecture on processor-centric computer architecture. We developed and tested the programs on distributed systems environment deployed on Docker based virtualization. We analyzed the performance of several MPI parallel programs and showed that we achieved better performance on memory-centric computer architecture. Especially we could see very high performance on the MPI parallel programs with high communication overhead.

• Journal of the Korea Society of Computer and Information
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• v.11 no.2 s.40
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• pp.25-33
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• 2006

We propose a method that automatically classifies the images into the object and non-object images. An object image is the image with object(s). An object in an image is defined as a set of regions that lie around center of the image and have significant color distribution against the other surround (or background) regions. We define four measures based on the characteristics of an object to classify the images. The center significance is calculated from the difference in color distribution between the center area and its surrounding region. Second measure is the variance of significantly correlated colors in the image plane. Significantly correlated colors are first defined as the colors of two adjacent pixels that appear more frequently around center of an image rather than at the background of the image. Third one is edge strength at the boundary of candidate for the object. By the way, it is computationally expensive to extract third value because central objects are extracted. So, we define fourth measure which is similar with third measure in characteristic. Fourth one can be calculated more fast but show less accuracy than third one. To classify the images we combine each measure by training the neural network and SYM. We compare classification accuracies of these two classifiers.

• Composites Research
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• v.24 no.2
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• pp.38-45
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• 2011

In this paper, we present an optimization method for the single Dallenbach-layer type microwave absorbers composed of E-glass fabric/epoxy composite laminates. The composite prepreg containing carbon nanotubes (CNT) was used to control the electrical property of the composites laminates. The design technology using the genetic algorithm was used to get the optimal thicknesses of the laminates and the filler contents at various center frequencies, for which the numerical model of the complex permittivity of the composite laminate was incorporated. In the optimal design results, the content of CNT increased in proportion to the center frequency, but, on the contrary, the thickness of the microwave absorbers decreased. The permittivity and reflection loss are measured using vector network analyzer and 7 mm coaxial airline. The influence of the mismatches in between measurement and prediction of the thickness and the complex permittivity caused the shift of the center frequency, blunting of the peak at the center frequency and the reduction of the absorbing bandwidth.

• Journal of the Korea Society for Simulation
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• v.27 no.3
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• pp.99-107
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• 2018

In this paper, we study target tracking in two dimensional space using a Extended Kalman filter(EKF), various Extended Kalman Filter and Cost-Reference Particle Filter(CRPF), which can effectively estimate the state values of nonlinear measurement equation. We introduce various Extended Kalman Filter which the Unscented Kalman Filter(UKF), the Central Difference Kalman Filter(CDKF), the Square Root Unscented Kalman Filter(SR-UKF), and the Central Difference Kalman Filter(SR-CDKF). In this study, we calculate Mean Square Error(MSE) of each filters using Monte-Carlo simulation with unknown noise statistics. Simulation results show that among the various of Extended Kalman filter, Square Root Central Difference Kalman Filter has the best results in terms of speed and performance. And, the Cost-Reference Particle Filter has an advantageous feature that it does not need to know the noise distribution differently from Extended Kalman Filter, and the simulation result shows that the excellent in term of processing speed and accuracy.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.667-673
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• 2009

This paper presents an efficient facial expression recognition method by measuring the histogram distance based on preprocessing. The preprocessing that uses both centroid shift and histogram equalization is applied to improve the recognition performance, The distance measurement is also applied to estimate the similarity between the facial expressions. The centroid shift based on the first moment balance technique is applied not only to obtain the robust recognition with respect to position or size variations but also to reduce the distance measurement load by excluding the background in the recognition. Histogram equalization is used for robustly recognizing the poor contrast of the images due to light intensity. The proposed method has been applied for recognizing 72 facial expression images(4 persons * 18 scenes) of 320*243 pixels. Three distances such as city-block, Euclidean, and ordinal are used as a similarity measure between histograms. The experimental results show that the proposed method has superior recognition performances compared with the method without preprocessing. The ordinal distance shows superior recognition performances over city-block and Euclidean distances, respectively.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.9
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• pp.749-757
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• 2021

In transportation missions using quadrotor, the payload may change the model parameters, such as mass, moment of inertia, and center of gravity. Moreover, if position of the payload is constantly changing during flight, the effect can adversely affect the control performances. To handle this issue, we suggest Model Reference Adaptive Control based on Linear Quadratic Regulator(LQR+MRAC) to compensate the uncertainty caused by payload. Firstly, the mathematical modeling with the fixed payload is derived. Second, Linear Quadratic Regulator (LQR) is used to design the reference model and baseline controller. Also, through the Stability method, Adaptive law is derived to estimate the model parameters. To verify the performance of proposed control scheme, we compared LQR and LQR+MRAC in situations where uncertainties exist. And, when the disturbance exist, the classic MRAC and proposed controller is compared to analyze the transient response and robustness.