• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.7
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• pp.1551-1556
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• 2010

In this paper, we propose a new inspection method that applies fuzzy reasoning method considering the difference of brightness and intensity of illumination by bend together. In the preprocessing phase, we compensate the degree of semiconductor images with bilinear interpolation and moment-rotation. Then we use fuzzy reasoning method with the difference of brightness from error region by pattern matching and the difference of intensity of illumination from bends. Then the result is difuzzified and applied to the final inspection process. In experiment which uses 30 real world semiconductors with strait shots and side shots, the proposed method successfully discard the false positive identified by conventional brightness comparison only method without any loss of misidentification.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.25 no.5
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• pp.576-584
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• 2014

In this paper, a study on the optimization of fuzzy classifier using radar cross section(RCS) values is presented to classify shell-shaped targets. Method of moments(MOM) is exploited to construct RCS database of generic shell-shaped targets in uniform angular intervals. Relative orientations are estimated from various flight scenarios of shell-shaped targets, and associated RCS values are interpolated from the generated RCS database with uniform angular intervals. Initial membership functions are determined using the interpolated RCS values, and particle swarm optimization(PSO) is utilized to optimize the membership functions of the fuzzy classifier in terms of probability of correct classification.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.93-95
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• 2016

본 논문에서는 초음파 영상에서 결절종을 추출하는 방법을 제안한다. 명암 대비가 낮은 초음파 영상에서도 정확히 추출하기 위해 퍼지 스트레칭 기법을 개선하여 명암 대비를 강조한 후에 ROI 영역을 추출한 후, 추출된 ROI 영역에 대해 FCM 알고리즘을 적용하여 양자화 한다. 양자화된 ROI 영역에서 8방향 윤곽선 추적 알고리즘을 적용하여 결절종의 후보 영역을 추출한다. 추출된 결절종의 후보 영역 중에서 면적이 가장 크거나 타원 형태를 가진 영역을 라벨링 기법을 적용하여 최종적으로 결절종 영역을 추출한다. 제안된 방법을 결절종 초음파 영상을 대상으로 실험한 결과, 기존의 결절종 추출 방법보다 제안된 방법이 결절종 영역이 비교적 정확히 추출되는 것을 실험을 통하여 확인하였다.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2785-2788
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• 2001

In this paper, we present a new interpolation scheme for image enhancement using fuzzy inference. In general, interpolation techniques are based on linear operators which are essentially lowpass filters, hence, they tend to blur fine details in the original image. In our approach, the operator itself balances the strength of its sharpening and noise suppressing components according to the properties of the input image data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.94-96
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• 2013

본 논문에서는 복부 초음파 영상에서 Ends_in Search Stretching 기법을 적용하여 명암 대비를 강조한 후, 이진화, 영역 레이블링 기법, 잡음 제거를 통해 근막을 추출하고, 근막 영역의 하단 경계선을 기준으로 Cubic Spline 보간법을 적용하여 복부 근육의 근막 하단 영역을 추출한다. 복부 초음파 영상에서 추출된 근막 하단 영역을 이용하여 근막 영역을 제거한 후, 거리 기반 퍼지 ART 알고리즘을 적용하여 충수 후보 영역을 추출한 다. 추출된 충수 후보 영역에 침식 연산과 영역 레이블링 기법을 적용하여 충수를 추출한다. 제안된 방법을 복부 초음파 영상을 대상으로 실험한 결과, 기존의 충수 추출 방법보다 객관적이고 효율적으로 충수와 소장의 명암도 차이를 구별할 수 있어 충수 영역이 이전의 방법 보다 비교적 정확히 추출되는 것을 영상의학과 관련 전문의를 통해 확인하였다.

• Journal of Radiation Protection and Research
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• v.26 no.1
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• pp.19-26
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• 2001

In order to assess the atmospheric dispersion for the accidental releases of nuclear power plants, in calculating X/Q values in the XOQAR and PAVAN codes which are based on Reg. Guide 1.145, the X/Q and frequency values are plotted on log-normal paper. Starting with the highest X/Q value of this plot, the codes compare the slope of the line drawn from this point to every other point within an increment containing ten X/Q values. If there are fewer than ten values, only the number available are used. The coefficients that produce the line with the least negative slope are saved. The end point of this line is used as the next starting point, from which slopes to the points within the next increment, containing ten X/Q values, are compared. The X/Q values corresponding to the cumulative frequency values 0.5%, 5% or 50% are calculated to search for the $0{\sim}2$ hour X/Q value that tends to be a very conservative value. In this work, a fuzzy logic inference method is used for nonlinear interpolation of the X/Q values versus the cumulative frequency. The fuzzy logic inference method is known to be a food technique for nonlinear interpolation. The proposed method was applied to a potential accidential radioactive release of the Yonggwang nuclear power plant, which gives more realistic X/Q values.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.6
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• pp.710-715
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• 2014

This paper investigates the design scheme of fuzzy-based adaptive controller to give adaptability for controlling nonlinear systems. For this, a nonlinear system is linearized by the several subsystems depending on the operating point or parameter changes. Then, the sub-controller is designed by linear control scheme for each subsystem and the sub-controllers are fused with each gain of sub-controllers using fuzzy rules. The proposed method is applied to an inverted pole system which has structurally instability and nonlinearity, and simulation works are shown to illustrate the effectiveness by comparison with the interpolation-based adaptive Controller.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.675-681
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• 2022

Recently, with the development of IoT technology and AI, unmanned and automated in various fields, interest in video processing, which is the basis for automation such as object recognition and object classification, is increasing. Various studies have been conducted on noise removal in the video processing process, which has a significant impact on image quality and system accuracy and reliability, but there is a problem that it is difficult to restore images for areas with high impulse noise density. In this paper proposes a filter algorithm based on partial mask and Lagrange interpolation to restore the damaged area of impulse noise in the image. In the proposed algorithm, the filtering process was switched by comparing the filtering mask with the noise estimate and the purge weight was calculated based on the low frequency component and the high frequency component of the image to restore the image.

• Journal of the Korean Society of Propulsion Engineers
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• v.10 no.3
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• pp.82-89
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• 2006

Recently operation and maintenance cost of gas turbine engines has been issued as a major parameter in terms of designing and manufacturing. Accordingly, the conception that the maintenance and repair of an engine has to be conducted in assembled condition has been spreaded out. However, it is possible only if the prediction of the engine performance is clearly identified. In this study, therefore, a diagnostic code of the engine performance has been developed by using GPA(Gas Path Analysis) and Fuzzy Logic which can analyze the engine performance and estimate the health parameters. The prediction of the quantitative performance deterioration of the established model of the turbo-shaft engine for SUAV has been achieved in a satisfied level compared to that obtained by GSP code.

• Journal of the Korea Society of Computer and Information
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• v.6 no.2
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• pp.143-151
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• 2001

The purpose of this study is to present the model for introduction of pharmacy information systems after medical reform. AHP(analytic hierarchy process) method is used to compute preference over factors which are included in the introduction of information systems. The fuzzified mu1ti-objective programming model is given to consider the aspects of resource and to accommodate the aspiration level and satisfaction level of decision makers. Numerical examples illustrating interpolated model are presented to accommodate the uncertainty of priority and the implications of this model is discussed.