• Communications for Statistical Applications and Methods
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• 제20권4호
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• pp.241-246
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• 2013

In this study, we propose a nonparametric simultaneous test procedure for the location translation and scale parameters. We consider the Wilcoxon rank sum test for the location translation parameter and the Mood test for the scale parameter with the quadratic and maximal types of combining functions. Then we derive the limiting null distributions of the combining functions. We illustrate our procedure with an example and compare efficiency by obtaining the empirical powers through a simulation study. Finally, we discuss some interesting features related to the nonparametric simultaneous tests.

• 전자공학회논문지B
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• 제32B권9호
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• pp.1171-1180
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• 1995

In this paper, we present a 3-D object recognition system in which the 3-D Hough transform domain is employed to represent the 3-D objects. In object modeling step, the features for recognition are extracted from the CAD models of objects to be recognized. Since the approach is based on the CAD models, the accuracy and flexibility are greatly improved. In matching stage, the sensed image is compared with the stored model, which is assumed to yield a distortion (location and orientation) in the 3-D Hough transform domain. The high dimensional (6-D) parameter space, which defines the distortion, is decomposed into the low dimensional space for an efficient recognition. At first we decompose the distortion parameter into the rotation parameter and the translation parameter, and the rotation parameter is further decomposed into the viewing direction and the rotational angle. Since we use the 3-D Hough transform domain of the input images directly, the sensitivity to the noise and the high computational complexity could be significantly alleviated. The results show that the proposed 3-D object recognition system provides a satisfactory performance on the real range images.

• 전자공학회논문지S
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• 제34S권7호
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• pp.102-111
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• 1997

In this paper, a patern recognition method of surface mount device(SMD) IC using wavelet transform and neural network is proposed. We chose the feature parameter according to the characteristics of coefficient matrix which is obtained from four level discrete wavelet transform (DWT). These feature parameters are normalized and then used for the input vector of neural network which is capable of adapting the surroundings such as variation of illumination, arrangement of objects and translation. Experimental results show that when the same form of feature pattern, as is used for learning, is put into neural network and gained 100% rate ofrecognition irrespective of SMD IC kinds, location and variation of illumination. In the case of unused feature pattern for learning, the recognition rate is 85.9% under the similar surroundings, where as an average recognition rate is 96.87% for the case of reregulated value of illumination. Proosed method is relatively simple compared with the traditional space domain method in extracting the feature parameter and is also well suited for recognizing the pattern's class, position and existence. It can also shorten the processing tiem better than method extracting feature parameter with the use of discrete cosine transform(DCT) and adapt the surroundings such as variation of illumination, the arrangement and the translation of SMD IC.

• Journal of the Korean Statistical Society
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• 제31권1호
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• pp.109-120
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• 2002

In this paper, we show the weak convergence of U-empirical processes for two sample problem. We use the result to show the asymptotic normality for the generalized dodges-Lehmann estimates with the Bahadur representation for quantifies of U-empirical distributions. Also we consider the asymptotic normality for the test statistics in a simple way.

• 한국해안·해양공학회논문집
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• 제28권1호
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• pp.53-62
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• 2016

서해안에 영향을 미친 태풍자료를 사용하여 몬테칼로 시뮬레이션을 통해 목포를 비롯하여 군산, 인천 및 제주 등 서해안 4곳의 빈도별 풍속을 산정하였다. 민감도분석 결과 최근접거리와 최대풍속반경의 차이가 풍속에 가장 영향을 크게 미치는 요소이고 위치각과 기압강하량 역시 민감한 반면 이동속도는 가장 둔감한 매개변수로 나타나고 있다. 이를 토대로 빈도별 최대풍속을 발생시키는 평균적인 해당빈도의 표준태풍을 설정할 수 있으며, 각 지점에서의 태풍 매개변수 설정을 통해 표준태풍을 확립할 수 있다. 이러한 표준태풍을 통해 빈도별 풍속과 일맥상통하는 빈도별 해일고 역시 산정할 수 있게 된다. 또한 가항반원에 해당하는 자료만 포함시켜 해석함으로써 음해일을 유발하는 표준태풍 역시 생성할 수 있다.