• Spatial Information Research
• /
• v.22 no.1
• /
• pp.35-43
• /
• 2014

The Triangle Mesh Warping method is suggested and applied in coordinate transformation to world geodetic system in this study. The common points of Uiwang city are used to compare the transformation accuracy of the suggested methods with existing national coordinate transformation methods. As a result, the Triangle Mesh Warping method was satisfied with accuracy criteria for positioning on a map larger than scale 1/1,000 with smaller number of common points and without distortion modeling. Additionally, in case of Guri and Pyeongtaek city that established the World Geodetic System, the suggested method generates the result of transformation accuracy better than 5cm. Based on the test, it was found that the suggested method improves the problem of securing many common points and reduces the problem of mis-match between the transformed data of adjacent areas. Accordingly, for transformation of large-scale topographic map, cadastral map, GIS DB and serial cadastral map to the World Geodetic System, it is judged that the Triangle Mesh Warping would be a good method for economical efficiency and accuracy using by minimum common point.

• Journal of the Korean Society of School Health
• /
• v.23 no.2
• /
• pp.246-255
• /
• 2010

Purpose: This study is based on an experimental research program designed to evaluate the before and after states of a control group that undertook a series of smoking prevention education sessions. Methods: The research was undertaken between June 2 and July 22, 2008. Students from two public elementary schools in Uiwang City took part in the study. 76 students from one of the schools (School 'W') were designated as the experimental group and 89 students from the other school (School 'O') were allotted to the control group. During the research period, the experimental group held 10, 40 minute discussions on the subject of smoking prevention. The control group had no such sessions and no information was given. The data was collected in 3 stages, firstly after initial study preparation, secondly after five sessions and thirdly after ten sessions. The data was analysed using the SPSS/WIN 12.0 program. Results: First, there was a presumption that the experiment group would have a greater knowledge about the effects of smoking than the control group. This was supported by the data analysis results (F=41.79, p =.000). Second it was presumed that the experiment group would have a more informed attitude to smoking than the control group. This was supported by the data analysis results (F=6.917, p =.009). Third, there was the presumption that the experiment group would have a greater knowledge of the effects of smoking after ten sessions than they would five sessions. This was supported by the data analysis results (F=56.911, p =.000, Scheffe=3rd> 2nd>1st). Fourth, the presumption held that the experimental group would have a more informed attitude to the effects of smoking after ten sessions than they did five. This was supported by the data analysis results (F=14.607, p =000, Scheffe=3rd>2nd>1st). Conclusion: The results appear to show that the elementary school students who participated in the smoking prevention sessions had an increased knowledge of the risks and had also formed a more negative attitude towards smoking. On the basis of the findings of this study, I would suggest that there are benefits in developing learner-centered smoking prevention programs and other related media. Also, smoking prevention discussions should be included in the regular curricula relating to health education.

• Journal of Intelligence and Information Systems
• /
• v.23 no.3
• /
• pp.45-67
• /
• 2017

According to the Internet Usage Research performed in 2016, the number of internet users and the internet usage have been increasing. Smartphone, compared to the computer, is taking a more dominant role as an internet access device. As the number of smart devices have been increasing, some views that the demand on high-speed internet will decrease; however, Despite the increase in smart devices, the high-speed Internet market is expected to slightly increase for a while due to the speedup of Giga Internet and the growth of the IoT market. As the broadband Internet market saturates, telecom operators are over-competing to win new customers, but if they know the cause of customer exit, it is expected to reduce marketing costs by more effective marketing. In this study, we analyzed the relationship between the cancellation rates of telecommunication products and the factors affecting them by combining the data of 3 cities, Anyang, Gunpo, and Uiwang owned by a telecommunication company with the regional data from KOSIS(Korean Statistical Information Service). Especially, we focused on the assumption that the neighboring areas affect the distribution of the cancellation rates by coupling type, so we conducted spatial cluster analysis on the 3 types of cancellation rates of each region using the spatial analysis tool, SatScan, and analyzed the various relationships between the cancellation rates and the regional data. In the analysis phase, we first summarized the characteristics of the clusters derived by combining spatial information and the cancellation data. Next, based on the results of the cluster analysis, Variance analysis, Correlation analysis, and regression analysis were used to analyze the relationship between the cancellation rates data and regional data. Based on the results of analysis, we proposed appropriate marketing methods according to the region. Unlike previous studies on regional characteristics analysis, In this study has academic differentiation in that it performs clustering based on spatial information so that the regions with similar cancellation types on adjacent regions. In addition, there have been few studies considering the regional characteristics in the previous study on the determinants of subscription to high-speed Internet services, In this study, we tried to analyze the relationship between the clusters and the regional characteristics data, assuming that there are different factors depending on the region. In this study, we tried to get more efficient marketing method considering the characteristics of each region in the new subscription and customer management in high-speed internet. As a result of analysis of variance, it was confirmed that there were significant differences in regional characteristics among the clusters, Correlation analysis shows that there is a stronger correlation the clusters than all region. and Regression analysis was used to analyze the relationship between the cancellation rate and the regional characteristics. As a result, we found that there is a difference in the cancellation rate depending on the regional characteristics, and it is possible to target differentiated marketing each region. As the biggest limitation of this study and it was difficult to obtain enough data to carry out the analyze. In particular, it is difficult to find the variables that represent the regional characteristics in the Dong unit. In other words, most of the data was disclosed to the city rather than the Dong unit, so it was limited to analyze it in detail. The data such as income, card usage information and telecommunications company policies or characteristics that could affect its cause are not available at that time. The most urgent part for a more sophisticated analysis is to obtain the Dong unit data for the regional characteristics. Direction of the next studies be target marketing based on the results. It is also meaningful to analyze the effect of marketing by comparing and analyzing the difference of results before and after target marketing. It is also effective to use clusters based on new subscription data as well as cancellation data.