• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권1호
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• pp.327-346
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• 2019

The goal of hyperspectral pansharpening is to combine a hyperspectral image (HSI) with a panchromatic image (PANI) derived from the same scene to obtain a single fused image. In this paper, a new hyperspectral pansharpening approach using adaptive weighted regression and guided filter is proposed. First, the intensity information (INT) of the HSI is obtained by the adaptive weighted regression algorithm. Especially, the optimization formula is solved to obtain the closed solution to reduce the calculation amount. Then, the proposed method proposes a new way to obtain the sufficient spatial information from the PANI and INT by guided filtering. Finally, the fused HSI is obtained by adding the extracted spatial information to the interpolated HSI. Experimental results demonstrate that the proposed approach achieves better property in preserving the spectral information as well as enhancing the spatial detail compared with other excellent approaches in visual interpretation and objective fusion metrics.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.366-366
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• 2000

In this paper, an adaptive neuro-fuzzy filter using the conditional fuzzy c-means(CFCM) methods is proposed. Usualy, the number of fuzzy rules exponentially increases by applying the grid partitioning of the input space, in conventional adaptive neuro-fuzzy inference system(ANFIS) approaches. In order to solve this problem, CFCM method is adopted to render the clusters which represent the given input and output data. Parameter identification is performed by hybrid learning using back-propagation algorithm and total least square(TLS) method. Finally, we applied the proposed method to the nonlinear channel equalization problem and obtained a better performance than previous works.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.127-129
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• 2012

디지털 카메라, 멀티미디어 등의 보급으로 인하여 일상생활 전반에서 영상이 사용되고 있다. 그러나 영상은 잡음에 의해 열화가 발생하고, 화질개선을 위한 잡음제거 기술의 필요성이 대두되고 있다. 잡음제거를 위한 기존의 방법들에는 워너 필터, 평균 필터, VisuShrink 등이 있지만, 미흡한 잡음제거성능을 나타낸다. 따라서 본 논문에서는 영상 잡음 제거를 위해, 위너 필터 및 변형된 웨이브렛 기반의 적응 임계값과 thresholding 함수를 이용한 하이브리드 필터 알고리즘을 제안하였다. 제안한 방법은 기존의 방법들에 비해, 저주파 특성과 고주파 특성을 동시에 나타내고, 우수한 잡음제거 및 에지보존 특성을 나타냈다.

• 한국통신학회논문지
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• 제38A권5호
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• pp.416-425
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• 2013

A hybrid PN code phase acquisition system based on a least-mean-square adaptive filter, interpreted as a channel estimator is proposed and analyzed for direct-sequence spread-spectrum systems under frequency selective Rayleigh fading channels. Closed form expressions are derived for the filter tap weights and detection/false alarm probabilities. Compared to previously proposed systems, the proposed system achieves smaller mean acquisition times, is more robust to the operating signal-to-noise ratio and allows for multiplication free tap weight updates.

• 한국정보과학회논문지:소프트웨어및응용
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• 제31권7호
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• pp.959-967
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• 2004

Jain 등은 한 지문 영상에 특징점 기반 지문 정합 방법과 필터뱅크 기반 지문 정합 방법을 적용해 두 정합 방법의 성능을 혼합하는 혼합형 지문정합 방법을 제안하고, 이 방법이 두 가지 각 정합 방법에 비해 높은 성능을 보인다는 것을 실험을 통해 입증하였다［l］. 그러나 이 방법은 혼합을 수행할 때 두 정합 방법을 별도로 수행한 후, 각 방법의 정합도(matching score)에 가중치를 부여해 최종 정합도를 결정하므로 두 정합 방법의 특성을 상쇄 시키는 결과를 얻게 된다. 본 논문에서는 두 가지 정합 방법을 특징값 추출 과정에서 혼합하는 방법을 제안하였다. 이 방법은 필터뱅크 기반 방법보다는 낮은 ERR(Equal eRror Rate)을 보이나 특징점 기반 방법보다 높은 ERR을 보였다. 이에 본 논문에서는 적응적인 정합도 혼합방법을 제안하여, 두 가지 방법의 특성을 살리도록 적응적으로 정합도를 선택하는 방법을 취했다. 이 방법을 이용해 Jain 등의 혼합형 방법보다 더 낮은 ERR을 얻을 수 있었다. 제안한 방법에 따라 NIST Special Database 14 지문 데이타로 실험한 결과 ERR에서 약 1%의 성능 향상을 보였다.

• Journal of Power Electronics
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• 제12권5호
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• pp.800-812
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• 2012

This paper analyses the mathematical model and control strategies of a Hybrid Active Power Filter with Injection Circuit (IHAPF). The control strategy based on the load harmonic current detection is selected. A novel control method for a IHAPF, which is based on the analyzed control mathematical model, is proposed. It consists of two closed-control loops. The upper closed-control loop consists of a single fuzzy logic controller and the IHAPF model, while the lower closed-control loop is composed of an Adaptive Network based Fuzzy Inference System (ANFIS) controller, a Neural Generalized Predictive (NGP) regulator and the IHAPF model. The purpose of the lower closed-control loop is to improve the performance of the upper closed-control loop. When compared to other control methods, the simulation and experimental results show that the proposed control method has the advantages of a shorter response time, good online control and very effective harmonics reduction.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.265-270
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• 2006

Recently, inertial sensors like gyros and accelerometers have been quite miniaturized by Micro Electro-Mechanical Systems (MEMS) technology. JAXA is developing a MEM-based GPS/INS hybrid navigation system named Micro-GAIA. The navigation performance of Micro-GAIA was evaluated through off-line analysis by using flight test data. The estimation errors of the roll, pitch, and azimuth were $0.03^{\circ}$, $0.05^{\circ}$, $0.05^{\circ}$ $(1{\sigma})$, respectively. he horizontal position errors after 60-second GPS outages were reduced to 25 m CEP. The attitude errors and position errors are nearly half of ones reported previously[2]. Furthermore, using the adaptive Kalman filters, the robustness against the uncertainty of the measurement noise was improved. Comparing the innovation-based and residual-based adaptive Kalman filters, it was confirmed that the latter is robuster than the former.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.1204-1209
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• 2008

Design is important in the IT, digital appliance, and auto industries. Aesthetic and art images are being applied for better design satisfaction of the products. Various artistic image patterns are used to satisfy demand of design, but it takes much lead-time and effort to implement them for making dies and molds. In this paper, a hybrid reverse engineering method generating accurate 3D engraving models from 2D art images is proposed through image processing, 3D reconstruction, and NURBS interpolation methods. In order to generate the 3D model from the 2D artistic image, cloud points with z-depth are extracted according to intensity values of the image. An adaptive median filter and harmonic filter are used to obtain the intensity values accurately. NURBS surfaces are generated through the interpolation of the cloud points. Performance of the developed system is to be confirmed through the realization of Mona Lisa and Golden Gate Bridge.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.115-120
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• 2006

This article propose a new idea of developing a hybrid scheme to achieve faster INS alignment with higher accuracy using a novel procedure to estimate the initial attitude angles that combines a Kalman filter and Adaptive Neuro-Fuzzy Inference System architecture. A tactical grade inertial measurement unit was applied to verify the performance of proposed scheme in this study. The preliminary results indicated the outstanding improvements in both time consumption for fine alignment process and accuracy of estimated attitude angles, especially in heading angles. In general, the improvement in terms of time consumption and the accuracy of estimated attitude estimated accuracy reached 80% and 70% respectively during alignment process after compensating the attitude angles estimated by an extended Kalman filter with 15 states using proposed approach. It is worth mentioned that the proposed approach can be implemented in general real time navigation applications.

• 대한전자공학회논문지SP
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• 제40권1호
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• pp.139-147
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• 2003

동적 신경망은 신호예측과 같이 temporal 신호처리가 요구되는 여러 분야에 적용되어 왔다. 본 논문에서는 다층 리커런트 신경망(RNN)의 동특성을 향상시키기 위해 지역 궤환 신경망(LRNN)과 광역 궤환 신경망(CRNN)으로 구성된 합성 신경망을 제안하고, 적응필터로 제안된 신경망을 사용하여 비선형 적응예측을 다루고 있다. 합성 신경망은 LRNN으로 IIR-MLP와 CRNN으로 Elman RNN 신경망으로 구성되어 있다. 제안된 신경망은 비선형 신호예측을 통해 평가되었으며, 예측 성능의 상대적인 비교를 위해 Elman RNN과 IIR-MLP 신경망과 상호 비교하였다. 실험결과에 의하면 합성 신경망은 수렴속도과 정확도에서 더 우수한 성능을 보여줌으로써, 제안된 신경망이 기존의 다층 리커런트 신경망보다 비정적 신호에 대한 비선형 예측에 더 효과적인 예측모델임을 확인하였다.