• International journal of advanced smart convergence
• /
• v.11 no.1
• /
• pp.11-18
• /
• 2022

Securities and investment services have and use large data. Investors started to invest through their own analysis methods. There are 22 major securities and investment companies in Korea and only 6 companies support open API. Python is effective for requesting and receiving, analyzing text data from open API. Daishin Securities Co. is the only open API that officially supports Python, and eBest Investment & Securities Co. unofficially supports Python. There are two important differences between CYBOS plus of Daishin Securities Co. and xingAPI of eBest Investment & Securities Co. First, we must log in to CYBOS plus to access the server of Daishin Securities Co. And the python program does not require a logon. However, to receive data using xingAPI, users log on in an individual Python program. Second, CYBOS plus receives data in a Request/Reply method, and zingAPI receives data through events. It can be thought that these points will show a difference in response time. Response time is important to users who use open APIs. Data were measured from August 5, 2021, to February 3, 2022. For each measurement, 15 repeated measurements were taken to obtain 420 measurements. To increase the accuracy of the study, both APIs were measured alternately under same conditions. A paired t-test was performed to test the hypothesis that the null hypothesis is there was no difference in means. The p-value is 0.2961, we do not reject null hypothesis. Therefore, we can see that there is no significant difference between means. From the boxplot, we can see that the distribution of the response time of eBest is more spread out than that of Cybos, and the position of the center is slightly lower. CYBOS plus has no restrictions on Python programming, but xingAPI has some limits because it indirectly supports Python programming. For example, there is a limit to receiving more than one current price.

• Journal of Korean Academy of Nursing
• /
• v.27 no.2
• /
• pp.401-410
• /
• 1997

An acute pain is the common experience following surgery. Pain is a most miserable experience in person and most preoperative patients have fear o! postoperative pain. In nursing, it is very important to understand and relieve the pain of post oprative patients as much as possible. This study was designed to compare the descriptive patterns of pain between group of Patient Controlled Analgesia and group of traditional Muscular Injection in surgcal patients. This information can be utilited as data of understanding nursing care and treatment planning for pain in surgical patients. The subjects in this study were 45 post-hysterectomy patients in Gynecology ward in C. N. U. H., in Taejon. Data was collected from May 12 to June 27. 1996. The instrumants used for this study were subjective Visual Analog Scale, Objedive nonverbal pain scale composed of Facial Apperance. Vocal Sound Change, and Sweating score. and the Melzack's Mcgill pain Qusetionaire. nine Items of Developmental Pain Intensity Scale by Lee En Ok. Analysis of data was done by using S. P. S. S. percentage, t-test, x²-test. ANOVA, and Repeated measure ANOVA. Results were obtained as follows. 1. Hypothesis 1 : There was very highly statistically significant difference in subjective self-report pain score(Visual Analog Scale) between PCA Group and IM Group(P=0.0001). 2. Hypothesis 2 : There was very highly statistically significant difference in muscle strength score (Visual Analog Scale) between PCA Group and IM group(P0.0001). 3. Hypothesis 3 : There was very highly statistically significant difference in facial appearance score between PCA Group and IM group(P=0.0001). 4. Hypothesis 4 : There was very highly statistically significance difference in vocal sound change score between PCA Group and IM group(P=0.0001). 5. Hypothesis 5 : There was no statistically significant difference sweating scores between PCA group and IM group(F=2.50, P=0.1220). But, postoperation time of 12, 24 was statistically difference between two groups(P=0.0001). So, it was partially supported. 6. Hypothesis 6 : There was very highly statistically significant difference in vocabulary pain score between PCA Group and IM group. 7. Hypothesis 7 : There was very highly statistically significant difference in amounts of total analgesic between PCA Group and IM group. There was very highly statistically significant difference in Visual Analog Pain Score, Facial Appearance Score, Vocal Sound Change Score, Vocabulary Score, amounts of total analgesic between PCA group and IM group. So, It is verified to asses of postoperative pain with VAS, Checklist of facia appearance, vocal sound change, and sweating, and Vocabulary Scale.

• Journal of Korean Medicine Rehabilitation
• /
• v.24 no.3
• /
• pp.149-155
• /
• 2014

Objectives This study was designed to investigate the correlation between the difference of pelvic height and difference of gait balance. Methods 62 cases of patients who received treatment from January 2011 to March 2014 for abnormal postures were analyzed. Their difference of pelvic height were estimated by whole spine X-ray analysis and gait balance were estimated by Treadmill Gait Analysis system. The data were analyzed to find out correlation between difference of pelvic height and difference of gait balance, and correlation between the position of pelvic tilt and gait balance higher side. Pearson correlation and Chi-square analysis were used. Results Pelvic height heigher side were more left than right side, and gait balance higher side were also more left than right side. Difference of pelvic height and difference of gait balance had a positive linear relationship, but there was no significant correlation. The position of pelvic tilt had significant correlation with gait balance higher side. Conclusions The position of pelvic tilt had significant correlation with gait balance higher side and difference of pelvic height had no significant correlation with difference of gait balance.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.19 no.1
• /
• pp.73-83
• /
• 2016

Forest degradation reduces ecosystem services provided by forest and could lead to change in composition of species. In North Korea, there has been significant forest degradation due to conversion of forest into terrace fields for food production and cut-down of forest for fuel woods. This study analyzed the phenological changes in North Korea, in terms of vegetation and moisture in soil and vegetation, from March to Octorber 2013, using MODIS (MODerate resolution Imaging Spectroradiometer) images and indexes including NDVI (Normalized Difference Vegetation Index), NDSI (Normalized Difference Soil Index), and NDWI (Normalized Difference Water Index). In addition, marginal farmland was derived using elevation data. Lastly, degraded terrace fields of 16 degree was analyzed using NDVI, NDSI, and NDWI indexes, and marginal farmland characteristics with slope variable. The accuracy value of land cover classification, which shows the difference between the observation and analyzed value, was 84.9% and Kappa value was 0.82. The highest accuracy value was from agricultural (paddy, field) and forest area. Terrace fields were easily identified using slope data form agricultural field. Use of NDVI, NDSI, and NDWI is more effective in distinguishing deforested terrace field from agricultural area. NDVI only shows vegetation difference whereas NDSI classifies soil moisture values and NDWI classifies abandoned agricultural fields based on moisture values. The method used in this study allowed more effective identification of deforested terrace fields, which visually illustrates forest degradation problem in North Korea.

• Korean Journal of Health Education and Promotion
• /
• v.20 no.3
• /
• pp.19-35
• /
• 2003

The purpose of this study is to examine the effectiveness of video-and discussion-based smoking cessation intervention for adolescents. And this study is intended to provide a basic database for the development of health education, to serve health promotion for adolescent. The subjects were 472 high school students in K yungkido. The data was collected from September 23th to October 31 st, 2002. The data was collected by the measurement of knowledge, attitude, and intention toward smoking. Pre-research was conducted before smoking cessation education and post-research was performed twice, immediately after the education and 4 weeks later. Collected data was analyzed by using the SPSS 10.0 which is a computational statistical program. The results of this study are as follows： 1. Total knowledge points in smoking cessation program-based group are higher than any other groups and the statistical difference is significant. 2. The students' attitude points in experimental groups are higher than that of the control group and the statistical difference is significant. However, the meaningful statistical difference disappeared after 4 weeks. 3. The non-smoking students' intention points do not show any significant difference. And the smoking students' intention points in experimental groups are higher than that of the control group but the statistical difference is insignificant. 4. There are correlations among knowledge, attitude and intention toward smoking： knowledge and attitude are negatively correlated, knowledge and intention are positively correlated for non-smoking students, and for smoking students, attitude and intention have a negative correlation.

• Geophysics and Geophysical Exploration
• /
• v.20 no.3
• /
• pp.121-128
• /
• 2017

Interpretation of time-domain electromagnetic (TEM) data has been made mostly based on one-dimensional (1-D) inversion scheme in Korea. A proper interpretation of TEM data should employ 3-D TEM forward and inverse modeling algorithms. This study developed a 3-D TEM modeling algorithm using a finite difference time-domain (FDTD) method with staggered grid. In numerically solving Maxwell equations, fictitious displacement current is included based on an explicit FDTD method using a central difference approximation scheme. The developed modeling algorithm simulated a small-coil source configuration to be verified against analytic solutions for homogeneous half-space models. Further, TEM responses for a 3-D anomaly are modeled and analyzed. We expect that it will contribute greatly to the precise interpretation of TEM data.

• Journal of Korean Public Health Nursing
• /
• v.14 no.2
• /
• pp.271-280
• /
• 2000

The purpose of this study was to identify the health status of elderly. Subjects were 132 older people who live in home and institution located Taejon metropolitan city. Data were collected from May 1997 to April 1998. To obtain data about health status of elderly. pulse, respiration, systolic and diastolic blood pressure. grip strength. pinch pressure. flexibility, arm circumference. triceps skin fold thickness were measured. Data were analyzed for frequency. percentage. t-test using SPSS pc+ program. The results were as follows: 1. $74.4\%$ of subjects was perceived as 'good' in their health status. 2. Mean pulse, mean respiration, systolic and diastolic blood pressure were with in normal limits. There were no statistical differences between men and women in pulse, respiration, systolic and diastolic pressure. 3. Left and right grip strength were 24.89 psi and 25.23psi. The grip strength in men was higher than that of women. It showed statistically difference between men and women in grip strength. 4. Left and right pinch pressure were 7 pound and 7.32 pound. There was statistically difference of pinch pressure between men and women. 5. left flexibility was better than right flexibility of subjects. There was no statistically significant difference between men and women in flexibility. 6. Arm circumference was 24.96cm and there was no statistically significant difference between men and women. 7. Mean skin fold thickness was 12.83 em. Skin fold thickness in men was lower than that of women. It showed statistically difference between men and women. From these results, further study should be considered gender differences in health status of elders and carried in larger sample than this study.

• Korean Journal of Social Welfare Studies
• /
• v.43 no.2
• /
• pp.61-85
• /
• 2012

The purpose of this study is to examine whether the national pension affects the life satisfaction of old age, using the first and third-wave data from the Korean Retirement and Income Study. The study analyzes the relationship between the national pension and life satisfaction, using several operational definitions of these two variables. This study utilizes the Difference-in-Difference(2D) models and panel data analysis. The main results are : First, the result of simple 2D shows that there is not significantly difference between the pensioner and that of non-pensioner. Second, the result of 2D regression also shows that pension is not significantly associated with life satisfaction of the old age. Lastly, the result of fixed-effect model confirms that the national pension does not have a statistically meaningful effect on the life satisfaction, controling for the unobserved characteristics of the old age. This study also conducts sensitivity analysis and discusses policy implications.

• The Korean Journal of Applied Statistics
• /
• v.22 no.2
• /
• pp.355-364
• /
• 2009

A simple method is proposed for constructing nonparametric confidence intervals for the difference or ratio of two median failure times. The method applies when clustered survival data with censoring is randomized either (I) under cluster randomization or (II) subunit randomization. This method is simple to calculate and is based on non-parametric density estimation. The proposed method is illustrated with the otology study data and HL-A antigen study data. Moreover, the simulation results are reported for practical sample sizes.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.49 no.12
• /
• pp.643-650
• /
• 2000

Using neural network approach, the diagnosis of faults in industrial process that requires observing multiple data simultaneously are studied. Two-stage diagnosis is proposed to analyze system faults. By using neural network, the first stage detects the dynamic trend of each normalized date patterns by comparing a proposed pattern. Instead of using neural network, the difference between stored fault pattern and real time data is used for fault diagnosis in the second stage. This method reduces the amount of calculation and saves storing space. Also, we dealt with unknown faults by normalizing the data and calculating the difference between the value of steady state and the data in case of fault. A model of tank reactor is given to verify that the proposed method is useful and effective to noise.