This study compared and analyzed fetus, newborn infant, and delivery methode of 141 women who received medical service from the first examination to the delivery in an obstetrics and gynecology specialized hospital located in Gwangmyeong, Gyeonggi-do from Jan. 2010 to Dec. 2010 and had a regular delivery after 37 weeks of pregnancy (73 non-employed and 68 employed women), depending on employment state of the subjects. The following are the results derived from the study. 1. The weight of the mothers after 37 weeks of pregnancy and the average gestational age was no statistical difference depending on the employment state. 2. In 37 weeks, the average fetal weight in the non-employed group was $2.90{\pm}0.27kg$ and the rate of small for gestational age infants was 2.75%. Meanwhile, the average fetal weight in the employed group was $2.76{\pm}0.28kg$ and the rate of small for gestational age infants was shown to be 10.3%. It is known that the fetal weight of the non-employed group was significantly higher for 37 weeks of pregnancy (p<0.05). 3. The newborn infant weight of the non-employed group was $3.42{\pm}0.43kg$ in average while that of the employed group was $3.18{\pm}0.35kg$. It is known that the newborn infant weight of the non-employed group was significantly higher (p<0.05). 4. In terms of delivery method, cesarean constituted 32.9% in the non-employed group while constituting 16.2% for the employed group. It is known that cesarean was shown to be significantly higher among the non-employed group (p<0.05).
A new method of automatic recording raingauge is developed to measure rainfall with 0.01mm resolution. This use two different signals to measure rainfall more accurately compare than other raingauges. One is weight of the tipping bucket with rainfall amount and the other is pulse from tipping bucket reverse. New method applied 1 mm tipping bucket mechanism and install loadcell under tipping bucket mechanism for measuring rainfall weight. Loadcell measure weight of rainfall until 1 mm with 0.01 mm resolution and more than 1 mm than bucket reverse and pulse signal generate, after that loadcell measure weight again. The validation of new instrument was examined in the room 65 mm/hour rainfall rate total 53 mm range. There is below than 1 % error of absolute rainfall amount and 0.01 mm resolution. The field test of instrument was carried out by comparing its measured values with values recorded by weight type and standard type on June 1 2003 at Terrestrial Environmental Research Center at Tsukuba University in Tsukuba of Japan, when it has recorded total amount of 40.58 mm rainfall by standard raingauge and new raingauge recorded 41.032 mm. Same rainfall intensity pattern observed in field observation with weight type raingauge. Rainfall intensity between weight type and Lee-A type raingauge reached 0.9947 correlation in 3 minute average.
Journal of the Korea Society of Computer and Information
/
v.22
no.12
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pp.49-54
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2017
Pathfinding for pedestrians provided by various navigation programs is based on a shortest path search algorithm. There is no big difference in their guide results, which makes the path quality more important. Multiple criteria should be included in the search cost to calculate the path quality, which is called a multi-criteria pathfinding. In this paper we propose a user adaptive pathfinding algorithm in which the cost function for a multi-criteria pathfinding is defined as a weighted sum of multiple criteria and the weights are learned automatically by Perceptron learning. Weight learning is implemented in two ways: short-term weight learning that reflects weight changes in real time as the user moves and long-term weight learning that updates the weights by the average value of the entire path after completing the movement. We use the weight update method with momentum for long-term weight learning, so that learning speed is improved and the learned weight can be stabilized. The proposed method is implemented as an app and is applied to various movement situations. The results show that customized pathfinding based on user preference can be obtained.
During the breeding season of 1998, breeding ecology of the Great Reed-Warbler (Acrocephalus arundinaceus orientalis) was studied at Yangsoo-ri and Yongdam-ri of the Yangpyung-gun, Kyunggi province, Korea. Egg-weight (CV: 6.25) was more variable than either length or breadth, and breadth was the least variable of the measures. Significant variations In overall egg-weight occurred between clutches, and that more of the total variation in egg-weight and shape are due to inter-clutch variation as to intra-clutch variation when the data were pooled. The last egg tends to be larger than the remaining eggs in the clutch of the Great Reed-Warbler, suggest- ing the Great Reed-Warbler may adopt the brood-survival strategy. When method 3 was used, the most common incubation period is 12 days. In the Great Reed-Warbler, the length of the incubation period was related to clutch-size when method 1 (r=0.485, p<0.05) and method 2 (r=0.621, p<0.01) were employed, but not related to egg weight. The average number of days of hatching asynchrony was 2.5, raging 0.5∼2.5. Asynchronous hatching was related to the clutch size (r=0.66, p<0.01). Hatching sequence was closely related to the laying sequence (r=0.93, p<0.001), suggesting Great Reed-Warblers incubate their eggs before clutch completion. The effect of egg weight on hatching asynchrony was found in Great Reed-Warblers (t-test, p<0.01).
Journal of the Korea Institute of Information and Communication Engineering
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v.22
no.9
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pp.1165-1171
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2018
CNN requires a large amount of computation and memory in the process of extracting the feature of the object. Also, It is trained from the network that the user has configured, and because the structure of the network is fixed, it can not be modified during training and it is also difficult to use it in a mobile device with low computing power. To solve these problems, we apply a pruning method to the pre-trained weight file to reduce computation and memory requirements. This method consists of three steps. First, all the weights of the pre-trained network file are retrieved for each layer. Second, take an absolute value for the weight of each layer and obtain the average. After setting the average to a threshold, remove the weight below the threshold. Finally, the network file applied the pruning method is re-trained. We experimented with LeNet-5 and AlexNet, achieved 31x on LeNet-5 and 12x on AlexNet.
Journal of the Korea Academia-Industrial cooperation Society
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v.4
no.4
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pp.391-397
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2003
This paper is about the digital image decimation algorithm which generates a value of decimated element by an average of a target pixel value and a value of neighbor intelligible element to adaptively reflect the merits of ZOD method and FOD method on the decimated image. First, a target pixel located at the center of sliding window is selected, then the gradient amplitudes of its right neighbor pixel and its lower neighbor pixel are calculated using first order derivative operator respectively. Secondly, each gradient amplitude is divided by the summation result of two gradient amplitudes to generate each intelligible weight. Next, a value of neighbor intelligible element is obtained by adding a value of the right neighbor pixel times its intelligible weight to a value of the lower neighbor pixel times its intelligible weight. The decimated image can be acquired by applying the process repetitively to all pixels in input image which generates the value of decimated element by calculating the average of the target pixel value and the value of neighbor intelligible element.
Jun Sang Ahn;Eung Gi Kwon;Hyun Jeong Lee;Ui Hyung Kim;Jeong Il Won;Sun Sik Jang;Byung Ki Park
Journal of Animal Science and Technology
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v.65
no.1
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pp.149-159
/
2023
The purpose of this study was to evaluate the effects of castration method and short-term fattening periods on Hanwoo cattle. Thirty-two Hanwoo calves (average body weight: 148.4 ± 19.8 kg) were used. The calves were randomly assigned in a 2 × 2 factor according to two castration methods (castration or hemi-castration) and two short-term finishing periods (24 months or 26 months). The final body weight increased significantly as the fattening period increased (p < 0.05), and the average daily weight gain was higher in the hemi-castration groups than in the castration groups (p < 0.05). After surgical castration, testosterone concentration was higher in the hemi-castration group than in the castration group during the entire experimental period (p < 0.05). The rib eye area was wider in the hemi-castration group than in the castration group (p < 0.01).An interaction effect was observed between the castration method and short-term fattening period (p < 0.05). Marbling and auction price scores differed between castration methods and were higher in the castration group than in the hemi-castration group (p < 0.01). Gross receipts and net income increased in the castration group compared to the hemi-castration group (p < 0.01) and showed a tendency to increase with the short-term fattening period, but there was no significant difference. Thus, castration to remove both testicles is essential for economic profit through producing high-quality Korean beef meat, and short-term fattening for 26 months, rather than 24 months, can benefit more by increasing carcass weight and meat quality.
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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v.6
no.1
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pp.3-12
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1988
The objective of this paper is to study the characteristics of combination method to correct both angle and distance errors simultaneously based on the least square adjustment methods. Changing the standard errors of distance and angle, the simulation errors of triangultion, trilateration, and combination result in some 39.8%, 33.9%, and 26.3% respectively. As the above, combination method shows more consistent accuracy than other methods. When considering the weight factor about error elements with independence, the diminishing rate of simulated average standard error represents a various change in each method. But considering them simultaneously, it shows a remarkable rate of diminishing 75.5%, 74.1%, and 69.2% in each method. And also, by growing the weight factor, accuracy of triangulation method is growing, whereas that of trilateration is diminishing. Therefore, determining the reasonable weight factors of distance and angle errors simultaneously in the analytical combination method, this method is expected to be one of more accurate and more effective methods for determining horizontal positions on the earth.
This study was carried out to identify the effects of an art therapy program based on reality therapy on the weight control, body image, and self-esteem of college students. The program was developed by the authors. The design was a pretest-post test control group design. The subjects were college students attending M college : 8 in experimental group A, 6 in experimental group 2, who wanted to control their body weight and 16 in the control group who didn't attend the program those in the experimental group attended the program once (group A) or twice (group B) per week meeting a total of six times. The data were analyzed by quantity method (SPSS 10.0 program) and quality method(process analysis). The results were as follows : 1. The average obesity index of pre-test, post-test, and a follow-up test decreased from 8.9% to 6.1%, 3.7%. And the rate of decrease both pre-post and post-follow up were statistically significant 2. The average obesity index of group A decreased from 9.6% to 6.3%, 4.1% and the rate of decrease between pre and post were statistically significant. But the rate of decrease between post and follow-up were statistically not significant 3. The average obesity index of group B decreased from 7.8% to 5.8%, 3.1% and the rate of decrease between pre and post were not significant statistically. But the rate of decrease between post and follow-up were statistically significant 4. The average scores of pre and post body image increased and were statistically significant : group A from 129.0 to 153.5, group B from 127.7 to 155.2. 5. The average scores of pre and post semantic differential method increased and were statistically significant: group A from 38.1 to 44.1, group B from 38.0 to 45.0. 6. The average scores of pre and post self-esteem increased: group A increased from 37.3 to 40.3 and were statistically significant, group B increased from 36.5 to 39.5 but was statistically insignificant 7. The average scores of pre and post obesity rate, body image, semantic differential method and self-esteem in the control group were not statistically significant 8. The pre and post scores of body image(p=.001), semantic differential method(p=.001) and self-esteem(p=.039) between experimental and control group were statistically significant. 9. In Duncan multiple comparison, it was not statistically significant between group A and B, but statistically significant between group A and the control group, group B and the control group in obesity index, body image, semantic differential method. There was no statistically significance among the three groups in self esteem 10. In Duncan multiple comparison, group A gained higher scores than group B in obesity index(-1.2%), and self esteem(0. 3). Group B gained higher scores than group A in body image(3. 0), and semantic differential method(1. 0). So it is difficult to conclude whether group A or B is more effective. In conclusion, the art therapy program based on reality therapy was effective in weight the control program of college students: obesity was decreased, the scores of body image and semantic differential method and self-esteem were increased. The scores of group A were increased more than group Band were statistically significant, The time interval was a very important factor in this program. The recommendation is : the validity of this program has to be tested through various subjects and in various areas. And also this program has to be tested in other topics.
Communications for Statistical Applications and Methods
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v.16
no.4
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pp.579-586
/
2009
We have used multifactor dimensionality reduction(MDR) method to study interaction effect of statistical model in general. But MDR method cannot be applied in all cases. It can be applied to the only case-control data. So, two methods are suggested E-MDR and D-MDR method using regression tree algorithm and dummy variables. We applied the methods on the identify interaction effects of single nucleotide polymorphisms(SNPs) responsible for longissimus mulcle dorsi area(LMA), carcass cold weight(CWT) and average daily gain(ADG) in a Hanwoo beef cattle population. Finally, we compare the results using permutation test.
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