• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.689-692
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• 2006

본 논문에서는 그림 영역에서 단어 영상을 효과적으로 추출하는 방법을 제안한다. 제안 방법은 문자 성분과 그래픽 성분을 분류하기 위하여 구성 원소들의 통계값을 이용하는 상자그림 분석을 응용하고, 분류된 문자 성분들에 대하여 지역적 밀집도를 분석하여 문자 영역을 추출한다. 추출된 문자 영역에서 문자열 및 단어 영상을 추출하는 방법은 투영 히스토그램 분석 등을 적용한다. 제안 방법은 임계치 대신에 그림 영역의 통계값을 이용하였기 때문에 그림의 형태 변화에 민감하지 않으며, 지역적 밀집도 분석으로 보다 정확한 문자 영역을 추출하였다.

• Journal of the Korean School Mathematics Society
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• v.22 no.4
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• pp.501-520
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• 2019

This study compared and analyzed Korean, American, Singaporean, and Japanese middle school mathematics curriculum standards and the learning contents in statistics. Through a comparative analysis of the curriculums of these four countries, I found several overall features and differences between the curriculums. First, all four countries emphasized statistical education in a real-life context. Second, all four countries emphasized the use of technological tools. Third, there is a middle school grade in which only Korea does not deal with statistical domains. Fourth, the statistical areas of the United States, Singapore, and Japan focused on identifying trends or variability in data distribution. Fifth, I have found some contents that only Korea does not deal with. Based on this, the following recommendations were developed for the development of the next curriculum and new textbooks in Korea. First, the statistics curriculum should be changed from one that focuses on understanding statistical concepts to one that focuses on statistical activity that utilizes these concepts. Second, in terms of middle school statistical curriculum contents, the addition of interquartile range (IQR) and box plots as learning contents should be considered. IQR and box plots are simple and practical techniques for the comparison of multiple sets of data that can be easily learned and drawn by middle school level students and applied to real-life-related statistical data to expand statistical literacy. Through this study, it is suggested that IQR and box plots need to be included in the statistical curriculum of middle schools in Korea.

• The Korean Journal of Applied Statistics
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• v.15 no.2
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• pp.433-448
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• 2002

Revelation is emphasized in exploratory data analysis. Hence, many graphical techniques are used in exploratory data analysis. Three applications of graphs in exploratory data analysis are presented.

• Korean Journal of Childcare and Education
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• v.10 no.6
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• pp.291-311
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• 2014

This research is to understand young children ontologically by examining features of young children in the picture books for the early childhood. For the purpose, under the consultation with a picture book specialist and three level process of selection, 4 picture books were chosen as analytic objects. The study questions is as follows. What is ontological understandings on young children throughout picture books for the early childhood? Under this purpose the books chosen were John Burningham's , David Wiesner's , Hina Back's , Peter Sis's . The books went through dramaturgical coding and were thematised based on the theories of ontological phenomenology. Study results show that young child-being appearing in the picture-books are thematised as 'multi layered being with Ntwurf and Geworfenheit(Aldo)', 'responsible being risen above greed(Plotsam)', 'reflective being on face of others(Fairy of Jangsutang)', 'being who encourages educational response of adults.(Madlenka's Dog)' These results revealed that young child-being have features not different from (multi layered aspect of being), unique from(encouraging educational response), and beyond adult-being(responsibility and response towards others). Despite several limitations, this study helped understand the young children ontologically by revealing that they, not only as developmental beings with imperfection, dependence, and immaturity but as multi layered and requesting, responsible being, having the same features as adults and, at times, rise above adult-being.

• Journal of the Korean Data and Information Science Society
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• v.28 no.5
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• pp.959-970
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• 2017

In this study, we propose bivariate skewness and kurtosis statistics and suggest a surface plot that can visually implement bivariate data containing the correlation coefficient. The skewness statistic is expressed in the form of a paired real values because this represents the skewed directions and degrees of the bivariate random sample. The kurtosis has a positive value which can determine how thick the tail part of the data is compared to the bivariate normal distribution. Moreover, the surface plot implements bivariate data based on the quantile vectors. Skewness and kurtosis are obtained and surface plots are explored for various types of bivariate data. With these results, it has been found that the values of the skewness and kurtosis reflect the characteristics of the bivariate data implemented by the surface plots. Therefore, the skewness, kurtosis and surface plot proposed in this paper could be used as one of valuable descriptive statistical methods for analyzing bivariate distributions.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.591-600
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• 2006

This paper describes the development and implementation of a algorithm to decompose word images from image regions mixed text/graphics in document images using statistical analyses. To decompose word images from image regions, the character components need to be separated from graphic components. For this process, we propose a method to separate them with an analysis of box-plot using a statistics of structural components. An accuracy of this method is not sensitive to the changes of images because the criterion of separation is defined by the statistics of components. And then the character regions are determined by analyzing a local crowdedness of the separated character components. finally, we devide the character regions into text lines and word images using projection profile analysis, gap clustering, special symbol detection, etc. The proposed system could reduce the influence resulted from the changes of images because it uses the criterion based on the statistics of image regions. Also, we made an experiment with the proposed method in document image processing system for keyword spotting and showed the necessity of studying for the proposed method.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.19-26
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• 2016

Previous research has shown that people perceive the larger volume for tall and lean cylindrical containers over short and wide containers of the same volume (e.g., Raghubir & Krishna, 1999; Wansink & Van Ittersum, 2003). The present research demonstrated that this elongation effect is reversed for boxes, presumably due to the affordance of the boxes. Two studies showed that participants judge short and wide boxes as having larger volume than long and lean boxes of the same volume. This effect replicated through two types of presentation formats (drawing, Study1; actual object, Study2) when the choice between two boxes was forced (Study 1) and not (Study 2). The results also replicated among participants residing in the U.S. (Study 1) and participants residing in Korea (Study 2). The reversed elongation effect held for liquid materials in general (water, Study 1; drinks, Study 2). Theoretical and managerial implications are discussed.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.4
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• pp.29-35
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• 2009

In this study, quantitative homogeneity analysis was performed between rainfall observation data set of Chukwooki(CWK) and rainfall observation data set of modern rain gage(MRG) using statistical methods such as basic statistics, K-S test and Boxplots. To analyze the homogeneities of CWK and MRG four rainfall characteristic series such as monthly rainfall, the ratio of maximum daily rainfall to monthly rainfall, number of rainy days for each month, and the ratio of monthly rainfall to numbers of rainy days are made, and the homogeneity tests using two sample K-S test and quantitative comparisons were performed. The test results showed that observation precisions between CWK and MRG of original data set(M00) were differed because M00 clearly showed the statistical significances on differences of numbers of monthly rainy days of CWK and MRG. But, rainfall showed a little differences which were not significant between CWK and MRG.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.399-408
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• 2015

This paper presented airquality data through data visualization in several ways and described its characteristics related to statistical methods for analysis. Software R was used for visualization tools. The airquality data was measured in New York city from May to September of year 1973. First, simple, exploratory data analysis was done in terms of both data visualization and analysis to find out univariate characteristics. Then through data transformation and multiple regression analysis, model for describing the airquality level was found. Also, after some data categorization, overall feature of the data was explored using box plot and three-dimensional perspective drawing and scatter plot.

• Korean Journal of Remote Sensing
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• v.37 no.6_3
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• pp.2027-2034
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• 2021

Using multi-temporal KOMPSAT-3/3A high-resolution satellite images, the Normalized Difference Vegetation Index (NDVI) for the area around the Fukushima daiichi nuclear power plant was determined, and the pattern of vegetation changes was analyzed. To calculate the NDVI, surface reflectance from the KOMPSAT-3/3A satellite image was used. Satellite images from four years were used, and the zones where the images overlap was designated as the area of interest (AOI) for the study, and by setting a profile passing through highly vegetated area as a data analysis method, the changes by year were examined. In addition, random points were extracted within the AOI and displayed as a box plot to quantitatively indicate change of NDVI distribution pattern. The main results of this study showed that the NDVI in 2014 was low within AOI in the vicinity of the nuclear power plant, but vegetated area continued to expand until 2021. These results were also confirmed in the change monitoring results shown in a profile or box plot. In disaster areas where access is restricted, such as the Fukushima nuclear power plant area, where it is difficult to collect field data, obtaining land cover classification products with high accuracy using satellite images is challenging, so it is appropriate to analyze them using primary outputs such as vegetation indices obtained from high-resolution satellite imagery. It is necessary to establish an international cooperation system for jointly utilizing satellite images. Meanwhile, to periodically monitor environmental changes in neighboring countries that may affect the Korean peninsula, it is necessary to establish utilization models and systems using high-resolution satellite images.