• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.555-562
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• 2012

This paper presents a hybrid method for improving the recognition performance, which is based on the nonlinear histogram equalization, features extraction, and statistical correlation of images. The nonlinear histogram equalization based on a logistic function is applied to adaptively improve the quality by adjusting the brightness of the image according to its intensity level frequency. The statistical correlation that is measured by the normalized cross-correlation(NCC) coefficient, is applied to rapidly and accurately express the similarity between the images. The local features based on independent component analysis(ICA) that is used to calculate the NCC, is also applied to statistically measure the correct similarity in each images. The proposed method has been applied to the problem for recognizing the 30-face images of 40*50 pixels. The experimental results show that the proposed method has a superior recognition performances to the method without performing the preprocessing, or the methods of conventional and adaptively modified histogram equalization, respectively.

• Communications for Statistical Applications and Methods
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• v.2 no.2
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• pp.404-413
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• 1995

2수준계 요인실험법에서 Kim(1992) 에 의해 균형배열을 이용하여 설계된 resolution V 포화균형부분실시법에서 추정량들의 공분산행렬을 계산하여 통계적 특성을 연구하였다. 이러한 부분실시법은 최소의 처리조합수를 가지고 주효과와 2인자 교호작용까지 분석할 수 있는 특징이 있다. 특히 본 논문에서는 인자의 수에 따라 설계가능한 8개의 부분실시법들간의 유사성과 통계적 효율성, 그리고 index number들의 변화에 따른 공분산행렬의 특성을 살펴보았다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.701-709
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• 2010

This paper presents an efficient signature recognition method by using the hybrid similarity criterion, which is in inverse proportion to distance and in proportion to correlation between the images. The distance is applied to express the spacial property of image, and the correlation is also applied to express the statistical property. The proposed criterion provides the robust recognition to both the geometrical variations such as position, size, and rotation and the shape variation. The normalized cross-correlation(NCC), which is calculated by considering 4 directions based on the histogram of binary image, is applied to express rapidly and accurately the similarity between the images. The proposed method has been applied to the problem for recognizing the 20 truck images of 288*288 pixels and the 105(3 persons * 35 images) signature images of 256*256 pixels, respectively. The experimental results show that the proposed method has a superior recognition performance that appears the image characters well. Especially, the hybrid criterion of NCC and ordinal distance has a superior recognition performance to the hybrid criterion using city-block or Euclidean distance.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.79-79
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• 2017

강우 자료는 수공구조물 설계목적에 따라 다양한 시공간적 범주가 필요하다. 그러나 시간단위 이하 시계열 강우자료는 미계측 유역 및 관측연한 등의 제약으로 연속적인 시계열을 확보하는데 어려움이 있다. 이러한 점에서 포아송분포 기반 강우발생모형은 강우시계열의 통계적 특성을 나타내는 5개 매개변수로 다양한 시간 범주의 연속강우시계열을 생성할 수 있다는 장점이 있다. 강우발생모의 핵심은 과거자료의 통계특성을 효과적으로 복원할 수 있어야 하며, 다양한 기상학적 특성들 또한 적절하게 모의될 수 있어야 한다는 점이다. 즉, 다음과 같은 기준으로 모의적합성을 평가할 수 있다. 첫째, 지속기간별 관측시계열과 모의시계열의 통계적 유사성을 평가하고, 둘째, 확률분포를 따르는 각 매개변수의 사후분포를 제시하여 불확실성을 정량화하고, 셋째, 추정된 매개변수의 물리적 범위의 적정성 검토가 필요하다. 본 연구에서는 강우발생모형으로 널리 알려진 Neyman-Scott Rectangular Pulse(NSRP) 모형과 Bayesian 모형을 연계한 Bayesian NSRP 모형 개발을 통해 강우관측소 전지점에 대한 매개변수 지도를 제시하고자 한다. 본 연구결과는 임의 유역에 대한 강우발생 시나리오를 제공하여, 다양한 형태의 유출결과를 도출할 수 있으며, 무엇보다 유출결과를 확률적으로 평가할 수 있다는 장점이 있다.

• Knowledge Management Research
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• v.24 no.1
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• pp.245-271
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• 2023

The change to the data economy requires a new analysis beyond ordinary research in the management field. Data matching refers to a technique or processing method that combines data sets collected from different samples with the same population. In this study, statistical matching was performed using random hotdeck and Mahalanobis distance functions using 2020 Survey of Korea Venture Firms and 2020 Korea Innovation Survey datas. Among the variables used for statistical matching simulation, the industry and the number of workers were set to be completely consistent, and region, business power, listed market, and sales were set as common variables. Simulation verification was confirmed by mean test and kernel density. As a result of the analysis, it was confirmed that statistical matching was appropriate because there was a difference in the average test, but a similar pattern was shown in the kernel density. This result attempted to expand the spectrum of the research method by experimenting with a data matching research methodology that has not been sufficiently attempted in the management field, and suggests implications in terms of data utilization and diversity.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.1-12
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• 2005

Image registration is a process to establish the spatial correspondence between images of the same scene, which are acquired at different view points, at different times, or by different sensors. This paper presents a new algorithm for robust registration of the images acquired by multiple sensors having different modalities; the EO (electro-optic) and IR(infrared) ones in the paper. The two feature-based and intensity-based approaches are usually possible for image registration. In the former selection of accurate common features is crucial for high performance, but features in the EO image are often not the same as those in the R image. Hence, this approach is inadequate to register the E0/IR images. In the latter normalized mutual Information (nHr) has been widely used as a similarity measure due to its high accuracy and robustness, and NMI-based image registration methods assume that statistical correlation between two images should be global. Unfortunately, since we find out that EO and IR images don't often satisfy this assumption, registration accuracy is not high enough to apply to some applications. In this paper, we propose a two-stage NMI-based registration method based on the analysis of statistical correlation between E0/1R images. In the first stage, for robust registration, we propose two preprocessing schemes: extraction of statistically correlated regions (ESCR) and enhancement of statistical correlation by filtering (ESCF). For each image, ESCR automatically extracts the regions that are highly correlated to the corresponding regions in the other image. And ESCF adaptively filters out each image to enhance statistical correlation between them. In the second stage, two output images are registered by using NMI-based algorithm. The proposed method provides prospective results for various E0/1R sensor image pairs in terms of accuracy, robustness, and speed.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.3
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• pp.225-231
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• 1999

In statistical analysis of remotely sensed data, means and variances of each classes are used as the basis of statistical similarity determination. Therefore, the overall accuracy of classification is affected by the training results. It is assumed that the ideal distributions of pixel values follow normal distributions, but practically they have some aggregations and biases. non anomalies of distribution can affect the classification results greatly as well as the variances of training results. In this study, relationships between the inferential variances of the training sets and the distributions of pixel values are examined. and the resulting changes of classification results are studied. Furthermore, the training method which minimizes the effect of underestimation of variances is proposed.

• School Mathematics
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• v.14 no.4
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• pp.495-516
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• 2012

This study distinguished thinking related to statistical variability into six components - the noticing of variability, the explanation of variability, the control of variability, the modeling of variability, the understanding of samples, and the understanding of sampling distribution and investigated the relationships among the thinking components. This study found that this distinction of thinking components related to statistical variability is reasonable. The results showed that each correlation coefficient of the modeling of variability, the understanding of samples, and the understanding of sampling distribution with regard to the noticing of variability, the explanation of variability, and the control of variability is similar. Based on this results, new variable, the understanding of sampling, has been drawn. The results also showed that while the noticing of variability and the control of variability influence the understanding of sampling, the explanation of variability does not influence it.

• Science of Emotion and Sensibility
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• v.26 no.1
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• pp.33-42
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• 2023

Previous emotion studies employing facial expressions have focused on the differences between age groups for each of the emotion categories. Instead, Kim (2021) has compared representations of facial expressions in the lower-dimensional emotion space. However, he reported descriptive comparisons without statistical significance testing. This research used representational similarity analysis (Kriegeskorte et al., 2008) to directly compare empirical datasets from young, middle-aged, and old groups and conceptual models. In addition, individual differences multidimensional scaling (Carroll & Chang, 1970) was conducted to explore individual weights on the emotional dimensions for each age group. The results revealed that the old group was the least similar to the other age groups in the empirical datasets and the valence model. In addition, the arousal dimension was the least weighted for the old group compared to the other groups. This study directly tested the differences between the three age groups in terms of empirical datasets, conceptual models, and weights on the emotion dimensions.

• KOREAN POULTRY JOURNAL
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• v.5 no.12 s.50
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• pp.113-118
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• 1973

1. 카나다산 보리의 아미노산조성은 국산보리의 그것과 큰 차이가 없으나 단백질의 함량은 12$\%$로서 국산 보리의 10$\%$보다 약간 높았다. 증체량은 초생추시기에 보리 40$\%$수준이 낮았으나 중추 및 대추시기에는 각 처리구들 사이에 통계적 유의성이 없었으며 2. 사료섭취량과 사료효율은 전시험기간에 걸쳐서 역시 각 처리구 사이에 통계적인 유의성이 없었다. 3. 경제성 분석 결과, 0$\~$6주령에서 보리 40$\%$ 수준이 다소 비싸게 사료비가 소요되었으며 전 육성기간에 걸쳐 5개의 처리에 따른 유의성은 검출되지 않았다. 4. 중추사료의 대사시험 결과 고형물 질소축적률, 조섬유, NFE의 대사율은 각 처리구별로 유사하였으나, 조지방의 소화율은 보리수준이 높아질 수록 소화율도 향상됨을 보여 주었다(P<0.01).