This study aims to improve the fit of middle and high school girls' uniforms. This study researched on the sizing system reflecting their body figures. The results are as follows. First, to classify the middle and high school girls' figures, factor analysis, and cluster analysis were conducted. 4 factors were extracted for upper body of the middle school girls, and 5 factors were extracted for the highschool girls. For the lower body, 3 factors were extracted for both the middle and high school girls. The middle school girls were then divided into 4 groups for the upper body and 4 groups for the lower body. The high school girls were divided into 4 upper and lower body groups. Third, KS size intervals were used for frequency distribution of height and bust for the bodice, height and waist for the lower body. Sizing system of the uniform company and the frequency distribution of sizes were compared. As a result, sizing system of the uniform company and the frequency distribution overlapped very little. Fourth, sizing system considering body type distribution and high frequency distribution of sizes was suggested. As a result when 6 sizes were suggested 30% of the population was covered, and when 11 sizes were suggested 55% of the population was covered.
This study aims to improve the fit of high school girls' uniforms. This study researched on the fit of the recent high school girls' uniforms and developed a sizing system that adequately reflects their body figures. The results are as follows. First, the research showed that over 50% of the highschool girls wore their blouses too tight, whereas over 60% of the girls wore skirts that were appropriately fitted. Second, to classify the high school girls' figures, factor analysis and cluster analysis were conducted. 5 factors were extracted for upper body and 3 factors for the lower body. The girls were then divided into 3 groups for the upper body and 4 groups for the lower body. Third, KS size intervals were used for frequency distribution of height and bust for the bodice, height and waist for the lower body. Sizing system of the uniform company and the frequency distribution of sizes were compared. As a result, sizing system of the uniform company and the frequency distribution slightly overlapped. Fourth, sizing system considering body type distribution and high frequency distribution section of sizes was suggested. As a result, for the upper body, when 6 sizes were suggested, 43.9% of the population was covered and when 11 sizes were suggested, 58.3% was covered. For the lower body, when 6 sizes were suggested, 32.2% was covered, and when 11 sizes were suggested 58.9% of the population was covered.
To acquire the essential basic data to the establishment of control measure for the hazardous health effect that could be caused by harmful metals, the author measured the concentrations of trace metals in whole blood of women of $20{\sim}39$ years old living in urban and rural area using atomic absorption spectrophotometer. The summarized results were as follows; 1. The mean concentration of zinc in whole blood was $10.69{\pm}8.07{\mu}g/ml$ in rural area. The frequency distribution by zinc concentration level was nearly L-type and the cumulative frequency distribution was showed bimodal type in both area. 2. The mean iron concentration in whole blood was $323.09{\pm}87.15{\mu}g/ml$ and $322.07{\pm}104.74{\mu}g/ml$ in urban and rural area, respectively. The frequency distribution was similar to normal distribution type in both area, but the cumulative distribution was unimodal type in urban area and bimodal type in rural area. 3. The mean magnesium concentration was $41.08{\pm}19.58{\mu}g/ml$ and $40.28{\pm}16.82{\mu}g/ml$ in the area, respectively. The frequency distribution type had skewness to the right and the cumulative frequency distribution was unimodal type in both area. 4. The mean copper concentration was $1.417{\pm}0.761{\mu}g/ml$ and $1.375{\pm}0.743{\mu}g/ml$ in the area, respectively. The frequency distribution type had skewness to the right and the cumulative frequency distribution was bimodal type in both area. 5. The mean manganese concentration was $0.079{\pm}0.039{\mu}g/ml$ and $0.07{\pm}0.058{\mu}g/ml$ in the area, respectively. The frequency distribution type had skewness to the right in both area but slight irregular in rural area and the cumulative distribution was unimodal and bimodal type in urban and rural area, respectively. 6. The mean cadmium concentration in whole blood was $0.031{\pm}0.026{\mu}g/ml$ in urban and $0.028{\pm}0.023{\mu}g/ml$ in rural area. The frequency distribution type had skewness to the right and cumulative frequency distribution was bimodal type in both area.
The Transactions of The Korean Institute of Electrical Engineers
/
v.57
no.2
/
pp.268-275
/
2008
In this paper, we introduce a new method for detecting and estimating faults on a power line using the time-frequency domain reflectometry system. The system rests upon time-frequency signal analysis and uses a chirp signal which is multiplied by Gaussian envelope. The chirp signal is used as a reference signal, and we can get the reflected signal from a fault on a wire. To detect and estimate faults, we analyze the reflected signal by Wigner time-frequency distribution function and normalized time-frequency cross correlation function. In this paper we design an optimal reference signal for power line and implement a system for estimating fault distance on a power line with the TFDR implemented by PXI equipments. This approach is verified by some experiments with HIV 2.25mm power lines.
The low flow analysis is an important part in water resources engineering. Also, the results of low flow frequency analysis can be used for design of reservoir storage, water supply planning and design, waste-load allocation, and maintenance of quantity and quality of water for irrigation and wild life conservation. Especially, for identification of the uncertainty in frequency analysis, the Bayesian approach is applied and compared with conventional methodologies in at-site low flow frequency analysis. In the first manuscript, the theoretical background for the Bayesian MCMC (Bayesian Markov Chain Monte Carlo) method and Metropolis-Hasting algorithm are studied. Two types of the prior distribution, a non-data- based and a data-based prior distributions are developed and compared to perform the Bayesian MCMC method. It can be suggested that the results of a data-based prior distribution is more effective than those of a non-data-based prior distribution. The acceptance rate of the algorithm is computed to assess the effectiveness of the developed algorithm. In the second manuscript, the Bayesian MCMC method using a data-based prior distribution and MLE(Maximum Likelihood Estimation) using a quadratic approximation are performed for the at-site low flow frequency analysis.
Journal of the Korea Institute of Information and Communication Engineering
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v.19
no.6
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pp.1380-1386
/
2015
Recently, the importance of users' geographic location information has been highlighted with a rapid increase of online social network services. In this paper, by utilizing geo-tagged tweets that provides high-precision location information of users, we first identify both Twitter users' exact location and the corresponding timestamp when the tweet was sent. Then, we analyze a relationship between the tweet frequency and the average user velocity. Specifically, we introduce a tweet-frequency computing algorithm, and show analysis results by country and by city. As a main result, it is shown that the tweet frequency according to user velocity follows a power-law distribution (i.e., Zipf' distribution or a Pareto distribution). In addition, by performing a comparison between the United States and Japan, one can see that the exponent of the distribution in Japan is smaller than that in the United States.
Clinical studies were done on 43 cases of Tan-San(呑酸) patient which were treated by outpatient, took medicine with Ge-Wool-Hwa-Dam-Jeon (開鬱火痰煎) in Dept. of 2nd clinic, Christian Oriental Hospital from June in 1991 to end of May in 1992. The results were as follows. 1. The ratio of sex and age was 37.2% males (16 cases) and 62.7% females (27 cases) somewhat higher than males, In the age distribution, the highiest decade was thirtieth decade 48.83% (21 cases). 2. In the vocational distribution, housewives 51.16% (22 cases), commerces 23.25% (10 cases), company employee, teachers, students were in order of frequency and in the regional distribution was city 93.02% (40 cases), from village 6.97% (3 cases). 3. In the type distribution, the highiest frequency was Gan-Gi-Beom-Wi(肝氣犯胃) type 53.48% (23 cases), and Sik-Jeok (食積) 18.8% (8 cases), Bi-Gi-Heo(脾氣虛) 16.27% (7 cases) were in order of frequency. 4. In the western name of a disease distribution, the highiest frequency was chronic gastritis 37.20% (16 cases). 5. In the period of history, the highiest freguency was between six months and one year 23.25% (10 cases), furthermore between 5 years and 10 years 2.32% (40 cases). 6. In the treatment period, the highiest frequency was between 3 weeks and 4 weeks 38.46% (10 cases), and between one month and 2 months 30.76% (8 cases) was in order of frequency. 7. Treatment progress found out progressed 74.2% (26 cases) among the 35 cases which was known treatment progress.
Magazine of the Korean Society of Agricultural Engineers
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v.26
no.2
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pp.69-84
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1984
This study was carried out to investigate the time distribution of single storms and to establish the model of storm patterns in korea. Rainfall recording charts collected from 42 metheorological stations covering the Korean peninsula were analyzed. A single storm was defined as a rain period seperated from preceding and succeeding rainfall by 6 hours and more. Among the defined single storms, 1199 storms exceeding total rainfall of 80 mm were qualified for the study. Storm patterns were cklassified by quartile classification method and the relationship between cummulative percent of rainfalls and cummulative storm time was established for each quartile storm group. Time distribution models for each stations were prepared through the various analytical and inferential procedures. Obtained results are summarized as follows: 1. The percentile frequency of quartile storms for the first to the fourth quartile were 22.0%, 26.5%, 28.9% and 22.6%, respectively. The large variation of percentile frequency was show between the same quartile storms. The advanced type storm pattern was predominant in the west coastal type storm patterns predominantly when compared to the single storms with small total rainfalls. 3. The single storms with long storm durations tended to show delayed type storm patterns predominantly when compared to the single storms with short storm durations. 4. The percentile time distribution of quartile storms for 42 rin gaging stations was estimated. Large variations were observed between the percentiles of time distributions of different stations. 5. No significant differences were generally found between the time distribution of rainfalls with greater total rainfall and with less total rainfall. This fact suggests that the size of the total rainfall of single storms was not the main factor affecting the time distribution of heavy storms. 6. Also, no significant difference were found between the time distribution of rainfalls with long duration and with short duration. The fact indicates that the storm duration was no the main factor affecting the time distribution of heavy storms. 7. In Korea, among all single storms, 39.0% show 80 to 100mm of total rainfall which stands for the mode of the frequency distribution of total rainfalls. The median value of rainfalls for all single storms from the 42 stations was 108mm. The shape of the frequency distribution of total rainfalls showed right skewed features. No significant differences were shown in the shape of distribution histograms for total rainfall of quartile storms. The mode of rainfalls for the advanced type quartile storms was 80~100mm and their frequencies were 39~43% for respective quartiles. For the delayed type quartile storms, the mode was 80~100mm and their frequencies were 36!38%. 8. In Korea, 29% of all single storms show 720 to 1080 minutes of storm durations which was the highest frequency in the frequency distribution of storm durations. The median of the storm duration for all single storms form 42 stations was 1026 minutes. The shape of the frequency distribution was right skewed feature. For the advanced type storms, the higher frequency of occurrence was shown by the single storms with short durations, whereas for the delayed type quartile storms, the higher frequency was shown gy the long duration single storms. 9. The total rainfall of single storms was positively correlated to storm durations in all the stations throughout the nation. This fact was also true for most of the quartile storms. 10. The third order polynomial regression models were established for estimating the time distribution of quartile storms at different stations. The model test by relative error method resulted good agreements between estimated and observed values with the relative error of less than 0.10 in average.
Journal of the Korean Institute of Electrical and Electronic Material Engineers
/
v.23
no.10
/
pp.809-813
/
2010
Frequency domain measurement of propagation loss for ultra high frequency (UHF) partial discharge in the winding of power transformer using a spectrum analyzer and pulse generator is presented. We compared the performance of the method using a network analyzer with and without a winding. Using a network analyzer simplifies the measurement and offers better dynamic range and frequency range. It also provides precise propagation loss within the winding in frequency domain at UHF range. We applied this method to measure UHF propagation loss of transformer mock-up, modeled 154 kV 20 MVA power in KEPCO substation.
Magazine of the Korean Society of Agricultural Engineers
/
v.32
no.E
/
pp.20-32
/
1990
Abstract This study was conducted to pursue the normalization of frequency distribution by making an approach to the coefficient of skewness to nearly zero through the Box-Cox transformation, to get probable flood flows can be calculated by means of the transformation equation which has been derivated by Box-Cox transformation in the annual maximum series of the applied watersheds. It has been concluded that Box-Cox transfromation is proved to be more efficient than logarithmic, square root and SMEMAX transformation which is based on the trigonometric solution of a right triangle whose three verteces repesent the smallest, median and largest observed values of a population in making the coefficient of skewness nearer to zero. Consequently it is shown that probable flood flows according to the return period based on Box-Cox transformation are closer to the observed data as compared to other methods including SMEMAX transformation and fitted probability distributions such as the three parameter lognormal and the type I extremal distribution for the applied watersheds.
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