• 한국정보과학회:학술대회논문집
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• 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (2)
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• pp.72-74
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• 1998

정보검색 시스템에서 시소러스는 정보항목에 대한 용어들간의 관계를 계층적 구조로 나타낸다. 따라서 정보검색 시스템에서 시소러스의 사용은 이용자의 질의에 있는 탐색어와 관련된 정보항목들을 검색할 수 있기 때문에 정보검색 시스템의 검색효율을 크게 증가시킬 수 있다. 그러나 기존의 시소러스 모델들은 용어들간의 관련 정도를 무시하거나 정량적인 수치값으로 부여하기 때문에 인간의 주관성과 부정확성을 다루는데 적합하지 않다. 용어들간 의미의 밀접한 정도(Degree of Closeness)는 모호하고 부정확한 판단에 근거하는 인간의 정성적인 측정 단위이다. 그러므로 관련정도를 정량적으로 표현하는 것은 정성적 개념을 정확한 숫자 값으로 변환하는 것이기 때문에 인간의 정성적 측정 단위를 정확하고 용이하게 정량적으로 측도하여 반영한다는 것은 어렵다. 따라서 본 논문에서는 용어들간의 관련도를 정성적으로 부여한 시소러스 모델을 제안한다. 이 시소러스 모델에서는 색인어간의 관련도를 정성적으로 표현하기 위해 퍼지 집합 이론에 근거한 언어적 설명자들을 정의한다. 언어적 설명자들은 존재론적 문제가 고려되고 다분히 인식론적인 표현에 근거한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.505-508
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• 2002

An emotionally modeled robot is dealt in this paper. The emotional model is required especially in the entertainment robot. Recently, the entertainment robots have been developed as the next generation of electronic toys. They require several capabilities such as perceiving, acting, communication, and surviving. The owner recognizes the communication with a entertainment robot by observing its expression and reaction. The expression is realized by emotion-based actions based on moving, dancing, sounding, speaking, and lighting. Therefore, we propose an emotional modeling algorithm, using the fuzzy logic system, in this paper. Good performance of the algorithm is confirmed by the result of a simulation.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 춘계 학술대회 학술발표 논문집
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• pp.77-80
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• 2003

신경망의 퍼셉트론 학습법에는 이진 또는 연속 활성화 함수가 사용된다. 초기 연결강도는 임의의 값으로 설정하며, 목표치와 실제 출력과의 차이를 이용하는 것이 주된 특징이다. 즉 구해진 오차는 학습률에 따라서 다음 단계의 연결강도에 영향을 주게 된다. 이런 경우 학습률이 너무 크면 수렴성을 보장할 수 없으며, 반대로 너무 작게 선정하면 학습이 매우 느리게 진행되는 단점이 발생한다. 이런 이유로 능동적인 학습률의 변화는 신경망의 퍼셉트론 학습법에 중요한 관건이 리며, 주어진 문제를 최적으로 학습을 위해서는 결국 상황에 따른 적절한 학습률 조정이 필요하다. 본 논문에서는 학습률 조정에 퍼지 모델을 적용하는 신경망 학습 방법을 제안하고자 한다. 제안한 방법에 의한 학습은 오차의 변화에 따라 학습률을 조정하는 방식을 사용하였고, 그 결과 연결강도를 능동적으로 변화시켜 효과적인 학습 결과를 얻었다. 학습률 변화는 'Sugeno 퍼지 모델'을 이용하여 구현하였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제5권2호
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• pp.102-107
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• 2005

This paper presents the comparison and performance analysis for CPL and CMOS based designs. We have developed the Verilog-HDL codes for the proposed designs and simulated them using ModelSim for verifying the logical correctness and the timing properties of the proposed designs. The proposed designs are then analyzed at the layout level using LASI. The layouts of the proposed designs are simulated in Winspice for timing and power characteristics. The result shows that the new circuits presented consistently consume less power than the conventional design of the same circuits. It can also be seen that these circuits have the lesser propagation delay and thus higher speed than the conventional designs.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.227-230
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• 2002

A new iris segmentation and recognition method is described. Combining a statistical classification and elastic boundary fitting, the iris is first segmented robustly and accurately. Once the iris is segmented, one-dimensional signals are computed in the iris and decomposed into multiple frequency bands. Each decomposed signal is approximated by a piecewise linear curve connecting a small set of node points. The node points represent features of each signal. The similarity measture between two iris images is the normalized cross-correlation coefficients between simplified signals.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.174-178
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• 2002

This paper discusses a blind equalization technique for FIR channel system, that might be minimum phase or not, in digital communication. The proposed techniques consist of two parts. One is to estimate the original channel coefficients based on fourth-order cumulants of the channel output, the other is to employ RBF neural network to model an inverse system fur the original channel. Here, the estimated channel is used as a reference system to train the RBF. The proposed RBF equalizer provides fast and easy teaming, due to the structural efficiency and excellent recognition-capability of R3F neural network. Throughout the simulation studies, it was found that the proposed blind RBF equalizer performed favorably better than the blind MLP equalizer, while requiring the relatively smaller computation steps in tranining.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권2호
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• pp.236-240
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• 2004

Stroke-based composite HMMs with articulation states are proposed to deal with 3D spatio-temporal trajectory gestures. The direct use of 3D data provides more naturalness in generating gestures, thereby avoiding some of the constraints usually imposed to prevent performance degradation when trajectory data are projected into a specific 2D plane. Also, the decomposition of gestures into more primitive strokes is quite attractive, since reversely concatenating stroke-based HMMs makes it possible to construct a new set of gesture HMMs without retraining their parameters. Any deterioration in performance arising from decomposition can be remedied by a partial tuning process for such composite HMMs.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권2호
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• pp.182-186
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• 2004

This paper describes an advanced compensation for non-linear functions designed to remove steering aberrations from phased array antennas. This system alters the steering command applied to the antenna in a way that the appropriate angle commands are given to the array steering software for the antenna to point to the desired position instead of squinting. Artificial neural networks are used to develop the inverse function necessary to correct the aberration. Also a straightforward antenna steering function is implemented with neural networks for the 9-term polynomials of forward steering function. In all cases the aberration is removed resulting in small RMS angular errors across the operational angle space when the actual antenna position is compared with the desired position. The use of neural network model provides a method of producing a non-linear system that can correct antenna performance and demonstrates the feasibility of generating an inverse steering algorithm.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권2호
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• pp.223-230
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• 2004

In this paper, we will introduce a control strategy based on the permanent magnet linear synchronous motor (PMLSM) container transfer system using soft-computing algorithm. Linear motor-based container transport system (LMCTS) is horizontal transfer system for the yard automation, which has been proposed to take the place of automated guided vehicle in the maritime container terminal. LMCTS is considered as that the system is changed its model suddenly and variously by loading and unloading container. The proposed control system is consisted of two DR-FNNs that act the role of controller and system emulator. Consequently, the system had the predictable structure and an ability to adapt for a huge variation of rolling friction, detent force, and sudden changes of its weight by loading and unloading.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권1호
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• pp.52-58
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• 2016

This paper categorized Korean small and medium businesses' global capabilities based on the preceding studies about the global capabilities and then, examined how their global capabilities would affect their competitive advantages and business management performances. As a result of testing the research model, it was found that the small and medium businesses' global capabilities had some significant effects on their competitive advantage (p<.001). On the other hand, the global capabilities had some positive effects on the business management performances and the mediating effects were significant (p>.05), which means that the competitive advantage has some mediating effects on the correlation between the global capabilities and the business management performances. Accordingly it was possible to analyze the correlation between global capabilities of small and medium businesses and their competitive advantage and thereby, provide for an opportunity to shift the paradigm of the global competition strategies.