• Journal of KIISE:Software and Applications
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• v.31 no.5
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• pp.563-569
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• 2004

A set of Zernike moments has been successfully used for object recognition or content-based image retrieval systems. Real time applications using Zernike moments, however, have been limited due to its complicated definition. Conventional methods to compute Zernike moments fast have focused mainly on the radial components of the moments. In this paper, utilizing symmetric/anti-symmetric properties of Zernike basis functions, we propose a fast and efficient method for Zernike moments. By reducing the number of operations to one quarter of the conventional methods in the proposed method, the computation time to generate Zernike basis functions was reduced to about 20% compared with conventional methods. In addition, the amount of memory required for efficient computation of the moments is also reduced to a quarter. We also showed that the algorithm can be extended to compute the similar classes of rotational moments, such as pseudo-Zernike moments, and ART descriptors in same manner.

• Proceeding of EDISON Challenge
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• 2017.03a
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• pp.132-144
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• 2017

현재, 빛을 이용한 화학 연구가 활발히 진행되고 있고 이러한 연구는 양자역학을 기반으로 화학에서 상당히 중요한 부분을 차지하고 있다. 또한 컴퓨터의 발전에 따라 여러 계산 모델들이 개발되고 있다. 본 논문에서는 회전파 근사(Rotating Wave Approximation, RWA)를 통해 라비 진동을 이론적으로 확인하고, 가장 간단한 연속파 레이저와 두 에너지 준위에서 시작하여 레이저 펄스와 두 에너지 준위, 레이저 펄스와 이원자분자인 $Na_2$ 분자의 두 전자에너지 퍼텐셜 준위, 그리고 실제 시간 밀도 범함수 이론(Real-Time Time Dependent Density Functional Theory, RT-TDDFT)이란 제일원리계산을 통해 연속파 레이저와 $H_2$ 분자와 $C_2H_4$ 분자에서까지 관찰하였다. 이 연구를 통해 공명 전이의 경우 펄스의 면적이 ${\pi}$의 홀수 배일 때 완전한 입자수 전이가 일어나는 펄스 면적 정리를 확인할 수 있었고, 이원자분자인 $Na_2$의 경우엔 펄스의 지속시간도 입자수 전이에 영향을 미친다는 것을 확인하였다. 더 나아가 $H_2$ 분자와 $C_2H_4$ 분자에서는 RT-TDDFT 계산을 통해 라비 진동을 확인할 수 있었고, 두 종류의 기저함수간의 대조를 통해 기저함수 선택의 중요성을 알아보았고, 가장 중요하게는 레이저를 잘 조작하면 입자를 원하는 상태로 들뜨게 할 수 있다는 것이란 결론을 얻게 되었다.

• Proceeding of EDISON Challenge
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• 2013.04a
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• pp.269-272
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• 2013

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.1
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• pp.91-96
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• 2015

In this study, we introduce robust face recognition system with illumination variation realized with the aid of CT preprocessing method. As preprocessing algorithm, Census Transform(CT) algorithm is used to extract locally facial features under unilluminated condition. The dimension reduction of the preprocessed data is carried out by using $(2D)^2$PCA which is the extended type of PCA. Feature data extracted through dimension algorithm is used as the inputs of proposed radial basis function neural networks. The hidden layer of the radial basis function neural networks(RBFNN) is built up by fuzzy c-means(FCM) clustering algorithm and the connection weights of the networks are described as the coefficients of linear polynomial function. The essential design parameters (including the number of inputs and fuzzification coefficient) of the proposed networks are optimized by means of artificial bee colony(ABC) algorithm. This study is experimented with both Yale Face database B and CMU PIE database to evaluate the performance of the proposed system.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.49 no.8
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• pp.25-32
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• 2012

In this paper, we propose a method for improving the performance of low complexity LS channel estimation for OFDM in fast time varying channels. The CE-BEM channel model used for the low complexity LS channel estimation has a problem on its own and deteriorates channel estimation performance. In this paper, we first use time domain windowing in order to remove the effect of ICI caused by data symbols. Then samples are taken from the results of the LS channel estimation and the effects of the windowing are removed from them. For resolving the defect of CE-BEM, the channel responses are recovered by interpolating the resultant samples with DPSS employed as basis functions the characteristics of which is well matched to the time variation of the channel. Computer simulations show that the proposed channel estimation method gives rise to performance improvement over conventional methods especially when channel variation is very fast and confirm that not only which type of functions is selected for the basis but how many functions are used for the basis is another key factor to performance improvement.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.2
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• pp.153-162
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• 2012

In this paper, we propose a new shape similarity measure for M:N polygon pairs regardless of different object cardinalities in the pairs. The proposed method compares the projections of two shape functions onto Zernike polynomial basis functions, where the shape functions were obtained from each overall region of objects, thus not being affected by the cardinalities of object pairs. Moments with low-order basis functions describe global shape properties and those with high-order basis functions describe local shape properties. Therefore several moments up to a certain order where the original shapes were similarly reconstructed can efficiently describe the shape properties thus be used for shape comparison. The proposed method was applied for the building objects in the New address digital map and a car navigation map of Seoul area. Comparing to an overlapping ratio method, the proposed method's similarity is more robust to object cardinality.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.586-591
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• 2014

In this study, we introduce Radial Basis Function Neural Networks(RBFNNs) classifier using Artificial Bee Colony(ABC) algorithm in order to classify between precipitation event and non-precipitation event from given radar data. Input information data is rebuilt up through feature analysis of meteorological radar data used in Korea Meteorological Administration. In the condition phase of the proposed classifier, the values of fitness are obtained by using Fuzzy C-Mean clustering method, and the coefficients of polynomial function used in the conclusion phase are estimated by least square method. In the aggregation phase, the final output is obtained by using fuzzy inference method. The performance results of the proposed classifier are compared and analyzed by considering both QC(Quality control) data and CZ(corrected reflectivity) data being used in Korea Meteorological Administration.

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.5
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• pp.30-37
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• 2015

The estimation of system damping parameter of the response signal with lower natural frequency and higher damping parameter from free vibration is affected by the wavelet center frequency. This study discusses these considerations in the context of the wavelet's multi-resolution character and includes guidelines for selection of wavelet center frequency. The experiment with H-Beam and numerical examples with respect to three cases (i)single mode, (ii)separated modes and (iii)close modes demonstrate the validity of method to improve the accuracy of the estimated damping parameter. The localization of the corresponding scale for the total scales is determined by the natural frequency of the analysing mode and is affected by the wavelet center frequency. Thus, the reliability for the accuracy of the estimated damping parameter can be improved by the corresponding scale of the natural frequency for the analysing mode is localized at the half of the total scales.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.646-655
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• 1995

본 연구에서는 기저역행렬의 계산방법에 따른 효율적인 자료구조를 실험적으로 검토하고, 입력자료방식과 효율화 방법을 제안하여 구현하였다. 기저역행렬의 계산방법에 따른 효율적인 자료구조는 명시형에서는 연결리스트 방식이 유리하였으며, 상하분해형에서는 연결 리스트 방법과 Gustavson 방법이 비슷한 효율을 보였다. 새로운 비영요소의 도입이 많은 경우일수록 연결 리스트가 효율적인 자료구조인 것으로 분석된다. 그리고 MPS자료의 입력방식과 효율화 방안에서는 각 열별로 행 정렬을 실시하고 해싱(hashing)함수를 도입하여 효율화를 기하였다.

• The Korean Journal of Applied Statistics
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• v.10 no.1
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• pp.137-149
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• 1997

In this paper we propose a logdensity estimation based on a Fourier expansion. The basis functions consisting of trigonometric functions are determinded by stepwise addition and deletion and the Bayes Information Criterion, where the maximum likelihood method is used to estimate the parameters. Numericla examples using real data and simulated data are provided to show the performance of proposed method.