• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.10
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• pp.123-129
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• 1994

The segmentation of range image is essential to recognize the three dimensional object. Generally, surface curvature is well-known feature for segmentation and classification of the fange image, but it is sensitive to noies. In this paper, we propose the structure of hierarchical neural network using surface curvature for segmentation of range images. The hierarchical structure of neural networks is robust to noise and the result of segmentaion is better than conventional optimization method of single level.

• 한국데이터정보과학회:학술대회논문집
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• 2002.06a
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• pp.97-106
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• 2002

Taguchi parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined-array approach, was suggested by Welch et. al. and studied by others. In these studies, only single quality characteristic was considered. We propose how to simultaneously optimize multiple quality characteristics using desirability function when we used the combined-array approach to assign control and noise factors. An example is illustrated to the combined-array approach.

• Proceedings of the KIEE Conference
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• 1997.11a
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• pp.116-118
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• 1997

The moving average filter in this paper, which has robust performance to the noise and can be easily implementable in hardware, is modified in view of real-time processing of the focus value. The simple hardware configurations are implemented to calculate the focus value in real-time. The stable controller of focus lens actuated by motors are designed. The hardware which are composed of EPLD, cheap vision chips, and CPU etc. are designed to perform the real-time calculation of focus value.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.241-244
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• 2002

Using disturbance observers is effective in enhancing the performance of systems in presence of disturbances. In this paper, we present a novel design of disturbance observers to achieve enhanced robust performance. In addition, we propose a new method of reducing the effect of measurement noise via modification of plant modeling in disturbance observer.

• Proceedings of the Acoustical Society of Korea Conference
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• 1996.06a
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• pp.29-32
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• 1996

본 논문에서는 시변 주파수를 추정하기 위한 방법으로 기존의 시간 가중 칼만 추정기법에 변형된 Huber함수를 적용하여 충격성 잡음환경 하에서도 강인한 칼만추정기법을 제안하였다. 기존의 시간 가중 칼만 추정기법은 오차가 정규분포를 가진다고 가정된 상태에서는 적합한 파라메타 추정을 할 수 있지만 충격성 잡음이 존재하는 경우에는 수렴속도나 시변적응능력에서의 성능저하가 나타난다. 제안된 알고리듬은 영향함수 측면에서 충격성 잡음에 의해 생기는 오차의 크기를 제한함으로써 기포나 인위적인 충격성 잡음환경 하에서도 시변 주파수 추정을 할 수 있으며 알고리듬의 타당성은 모의실험을 통해 보였다.

• The Journal of the Acoustical Society of Korea
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• v.1 no.1
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• pp.54-59
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• 1982

We present an improved 4800 bps LPC vocoder system that virtually eleminates the buzzy effect from synthetic speech. Excitation signal in the new system is formed by adding high-pass filtered pitch pulses or random noise to a baseband residual signal that has been coded by pitch predictive PCM. Since the baseband residual is used as a part of excitation, the system is also robust to V/UV and pitch errors. According to our informal listening tests, the synthetic speech of the new system does not have the buzzy effect. As a result the vocoder speech quality is more natural than that of a conventioinal LPC vocoder.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.219-222
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• 2002

In this paper, we propose a new blind image watermarking method in wavelet domain. It is necessary to find out watermark insertion location in blind watermark. We use horizontal and vertical difference of LL components to select watermark insertion location, because increment or decrement of successive components is rarely changed in LL band. A pseudo-random sequence is used as a watermark. Experimental results show that the proposed method is robust to various kinds of attacks such as JPEG lossy compression, averaging, median filtering, resizing, histogram equalization, and additive Gaussian noise.

• 한국데이터정보과학회:학술대회논문집
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• 2001.10a
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• pp.44-55
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• 2001

In the Taguchi parameter design, the product-array approach using orthogonal arrays is mainly used. However, it often requires an excessive number of experiments. An alternative approach, which is called the combined-array approach, was suggested by Welch et. al. (1990) and studied by others. In these studies, only single response variable was considered. We propose how to simultaneously optimize multiple responses when there are correlations among responses, and when we use the combined-array approach to assign control and noise factors.

• Journal of the Korean Society for Nondestructive Testing
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• v.28 no.4
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• pp.346-351
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• 2008

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_1
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• pp.249-256
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• 2024

Traditional methods for monitoring targets rely heavily on probabilistic data association (PDA) or Kalman filtering. However, achieving optimal performance in a densely congested tracking environment proves challenging due to factors such as the complexities of measurement, mathematical simplification, and combined target detection for the tracking association problem. This article analyzes a target tracking problem through the lens of fuzzy logic theory, identifies the fuzzy rules that a fuzzy tracker employs, and designs the tracker utilizing fuzzy rules and Kalman filtering.