• Journal for History of Mathematics
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• v.13 no.1
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• pp.1-14
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• 2000

The first part of this thesis discusses the Pearson's Curve Family which gives $\beta$distribution, $\Gamma$-distribution, $X^2$-distribution and t-distribution. The second part of this thesis gives some brief process of calculations for normal distribution density and t-distribution density by the 7-th type Curve of Pearson's Curve Family. Finally, a conclusion arrives that Student(Gosset) could not find out his famous 'Student's t-distribution' without his attending of 'Pearson's Differential Equation' class taught by Pearson himself when he was a senior student. However, if he had got a professorship at the Pearson Statistics Laboratory, the University of London, then he could not have found 'Student's t-distribution' for small sampling technique of modern statistics.

• Journal of the Korean Society for Precision Engineering
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• v.24 no.5
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• pp.127-134
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• 2007

Presented in the paper is an algorithm to generate a section curve by slicing a point cloud including tens of thousands of points. Although, there have been previous research results on the slicing problem, they are quite sensitive on the density variations of the point cloud, as well as on the local noise in the point cloud. To relive the difficulties, three technological requirements are identified; 1) dominant point sampling, 2) avoiding local vibration, and 3) robustness on the density changes. To satisfy these requirements, we propose a new slicing algorithm which is based on a node-sphere diagram. The algorithm has been implemented and tested with various examples.

• Journal of the Korean Statistical Society
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• v.34 no.1
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• pp.49-60
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• 2005

In this paper we introduce a nonparametric method for estimating the probability density function of detection distances in line transect sampling. The estimator is obtained using a frequency histogram density estimation method. The asymptotic properties of the proposed estimator are derived and compared with those of the kernel estimator under the assumption that the data collected satisfy the shoulder condition. We found that the asymptotic mean square error (AMSE) of the two estimators have about the same convergence rate. The formula for the optimal histogram bin width is derived which minimizes AMSE. Moreover, the performances of the corresponding k-nearest-neighbor estimators are studied through simulation techniques. In the absence of our knowledge whether the shoulder condition is valid or not a new semi-parametric model is suggested to fit the line transect data. The performances of the proposed two estimators are studied and compared with some existing nonparametric and semiparametric estimators using simulation techniques. The results demonstrate the superiority of the new estimators in most cases considered.

• Journal of Power System Engineering
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• v.2 no.1
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• pp.25-30
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• 1998

In order to investigate the droplet size distribution and Sauter Mean Diameter in a ultra high pressure diesel spray, fuel was injected with ultra high pressure into the environments of high pressure and room temperature by an Electronic Hydraulic Fuel Injection System. Droplet size was measured with the immersion liquid sampling technique. The immersion liquid was used a mixture of water-methycellulose solution and ethanol. The Sauter Mean Diameter decreased with increasing injection pressure, with a decrease environmental pressure (back pressure) and nozzle diameter. Increasing the injection pressure makes the fuel density distribution of the spray more homogeneous. An empirical correlation was developed among injection pressure, air density, nozzle diameter and the Sauter Mean Diameter of spray droplets.

• Journal of Information Processing Systems
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• v.6 no.1
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• pp.67-78
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• 2010

In this study, a clustering algorithm that uses DCT transformed data is presented. The algorithm is a grid density-based clustering algorithm that can identify clusters of arbitrary shape. Streaming data are transformed and reconstructed as needed for clustering. Experimental results show that DCT is able to approximate a data distribution efficiently using only a small number of coefficients and preserve the clusters well. The grid based clustering algorithm works well with DCT transformed data, demonstrating the viability of DCT for data stream clustering applications.

• Women's Health Nursing
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• v.16 no.3
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• pp.224-233
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• 2010

Purpose: This study explored the relationships among obesity, bone mineral density, and cardiovascular risks in post-menopausal women. Methods: One hundred post-menopausal women were recruited via convenience sampling from osteoporosis prevention program participants who were living in a metropolitan city in September 2006. Obesity was evaluated by body mass index, bone mineral density measured by DEXA scan, and cardiovascular risk factors assessed by a guideline of American Heart Association. Results: Seventy-two percent of women were either in the osteopenia or osteoporosis group, while 28% were in normal range in lumbar vertebrae. Obese women had greater bone mineral density in lumbar (F=3.31, p=.040) and femur (F=4.72, p=.011). Variables for cardiovascular risks were significantly different for high density lipoprotein (F=7.51, p=.001), systolic blood pressure (F=5.21, p=.007), and in percent of 10-year cardiovascular disease risk according to obesity. Conclusion: Post-menopausal women are at risk for obesity, osteoporosis, and cardiovascular disease. In order to prevent these conditions, nursing interventions such as resistance and aerobic exercise that reduces body weight and bone loss, increases high density lipoprotein, and reduces systolic blood pressure, should be proposed continually through health promotion programs for postmenopausal women.

• Journal of Nutrition and Health
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• v.39 no.5
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• pp.460-466
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• 2006

To investigate the effects of dietary patterns on bone mineral density and its biochemical markers among Korean healthy college women for 2 years, 34 female college students were recruited through convenience sampling. Bone mineral density was measured using Dual Energy X-ray Absorptiometry (DEXA) twice at baseline and two years later. Osteocalcin and parathyroid hormone were measured in fasting serum and N-teleopeptides of type collagen (NTx) in urine. Dietary intake was assessed by 24-hour recall method 8 times with average 4-month interval. Dietary patterns with percent energy of each food group using cluster analysis were classified into two groups. The first cluster (n = 16) was characterized with high consumption of bread, snack, fast foods, beverage and considerable of rice so it was determined as 'Modified dietary pattern group'. The second cluster was characterized with high consumption of rice and kimchi so determined as 'Traditional dietary pattern group'. There were no significant difference of age, menarcheal age, body mass index but percent of body fat by pattern groups. The traditional group showed higher value of bone mineral density among lumber spine and all femur sites at baseline and 2 years later but it was not significant after adjusted for percent of body fat. Serum osteocalcin and urine NTx was higher among the traditional group at baseline than the modified group. There were similar proportions of carbohydrate:fat:protein between groups but significantly higher intake of protein, iron, vitamin A among the traditional group. In conclusion, there were two distinctive dietary patterns among Korean college women. There was difference of bone mineral density and its biochemical markers between two patterns. Further research would be necessary to explore the relationship between dietary patterns and health risks for larger-sized and various populations.

• Korean Journal of Digital Imaging in Medicine
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• v.2 no.1
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• pp.74-82
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• 1996

This paper were studied the evaluation in compare with the conventional and AMBER of analog images, PACS and CR of digital images which were collected every ten sampling chest images with the J.J.Vucicuh chest evaluated chart, and were measured the chest phantom surface dose and the density of several part in chest images. The evaluated numbers were total 22 persons who were 6 persons of the M.D., 6 of the radiotechnological professors and 10 of the radiotechnologists. The obtained results summarized as following : 1. Approaching the optimum standard density of the several part in chest images drew near at the lung round region density in PACS images, the sternum region density in CR and AMBER images, the heart region density in CR AMBER images, the diaphram region density in AMBER and conventional images. 2. The evaluation measured surface dose were appeared orderly lesser dose at the AMBER images (spine 21 mR, lung 2mR, heart 12mR, apex 6mR) than the conventional images(32 mR), CR images(38mR) and PACS images(81mR). 3. The anatomical physical evaluation marks were taken the highest points at CR images(88.3), and orderly PACS images(82), AMBER images(79.2) and conventional images(65.2). 4. It is exposured with lesser surface dose at the analog images, but analog images leaves much room for image quality improvement, and digital images demand for lesser exposure surface dose, although excellent image quality.

• Journal of Forest and Environmental Science
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• v.38 no.2
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• pp.90-101
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• 2022

The study aims to assess composition, diversity and population indices of natural regeneration of woody species in Jebel El Gerrie forest reserve, Blue Nile State, Sudan. We conducted field work between December 2018 and January 2019. We used random sampling to collect vegetation data in the forest where we made a total of 90 circular sample plots (radius 17.84 m) and distributed them proportionally to the area of each of the four density-based vegetation classes of the forest i.e. high density (C1), medium density (C2), low density (C3) and crop land (C4). In each sample plot we identified all regenerating tree species and counted their regeneration frequencies. We calculated ecological metrics of regeneration frequency, density, abundance, richness, evenness, diversity and importance value index (IVI) and drew abundance rank curve. Results revealed that out of fifteen mature tree species present, natural regeneration of 8 species, which belong to 6 families, was observed. The relatively most frequently naturally regenerating and abundant species were Anogeissus leiocarpa and Combretum hartmannianum. Richness, evenness and diversity of regenerating species were 1.33, 0.82 and 1.7, respectively. One-way ANOVA (α=0.05) of mean regeneration densities disclosed that there were significant differences (F_3,86=16.77, p=0.000) between C2 & C3 (p=0.000) and C2 & C4 (p=0.000). While regeneration of seven tree species were absent, two, two and four species were of good, poor and fair regeneration status, respectively. A comparison of mean density of natural regeneration with that of parent trees reflects a poor regeneration status of the forest. The study provides empirical results on the regeneration status of species and signifies the need for management interventions for species conservation and restoration, maintenance of biodiversity and sustainable production.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.1
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• pp.51-57
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• 2005

In this paper, we propose an adaptive contrast control method for the flat real-time processing. The proposed method has employed probability density function(PDF) in order to control a sudden change in image-brightness. In addition, the proposed algerian obtains the maximum contrast without affecting the processed image. In order to reduce hardware complexity, we have utilized approximated CDF based on sampling values. Visual test and standard deviation of their histogram have been introduced to evaluate the resultant output images of at: proposed method and the original ones.