• The Journal of the Korea Contents Association
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• v.7 no.8
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• pp.13-20
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• 2007

Decision tree is one of the most useful analysis methods for various data mining functions, including prediction, classification, etc, from massive data. Decision tree grows by splitting nodes, during which the purity increases. It is needed to stop splitting nodes when the purity does not increase effectively or new leaves does not contain meaningful number of records. Pruning is done if a branch does not show certain level of performance. By pruning, the structure of decision tree is changed and it is implied that the previous splitting of the parent node was not effective. It is also implied that the splitting of the ancestor nodes were not effective and the choices of attributes and criteria in splitting them were not successful. It should be noticed that new attributes or criteria might be selected to split such nodes for better tries. In this paper, we suggest a procedure to modify decision tree by Fuzzy theory and splitting as an integrated approach.

• Korean Journal of Health Education and Promotion
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• v.22 no.1
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• pp.17-40
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• 2005

This study was aimed to analyze the status of the a health education and the health behavior, and to identify the effected factors of health promotion behavior based on Green's PRECEDE Model among high school students The data was collected by interview survey with self-administration questionnaire from the selected high school students during the end of the second semester, 2001, and 1,591 students are analyzed. The statistical method of the analysing for effected factors of health promotion behavior was used the Multiple Linear Regression Analysis by SPSS package program. The results of this study are as fellows. 1. The index of the health educational contents shows the 18.14 points per 86 points, 18.96 points in girl students, 17.53 points in boy students. 2. In the index of health promotion behaviors was 84.9 points per 140 full points in all average; 61 points per 100 points. The experienced rate of smoking was $35\%$ of all students, $38.5\%$ of boy students, $30.6\%$ of girl students each. The experienced rate of drinking was $62.2\%$ of all students, $61.6\%$ of boy students, $69.4\%$ of girl students. 3. The effected factors of the health promotions behaviors to analyse by multiple linear regression model was sports activity, the degree of satisfaction of their school life, the academic records of school, the present health conditions, their awareness for hazard of smoking for their health, the experiences of the smoking, their stresses(R$^2$ =0.174). and the factors as the experiences of drinking, their stresses, and the indexes for the health education contents in their school were added in girls students.

• The Journal of the Korea Contents Association
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• v.8 no.4
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• pp.264-272
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• 2008

In ubiquitous geographic information environment, the users are provided with geographic information anywhere and any time on their needs by any types of devices and communication media. The unique location ID, ePosition, is a new technology to support UBGI environment, using a logical location ID instead of physical location of a point of interest. Domain names of plural ePosition servers, where location information with its ePosition is stored, needs to be registered in DNS for some service through Internet. For better ePosition service of the type of public service like email service, a set of DNS resource records can be newly defined. This paper suggests a new DNS resource record EPO for implementation of the ePosition service through Internet.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.561-571
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• 2020

Location information service using big data is continuously developing. In terms of navigation, the range of services from map API service to ship navigation information has been expanded, and system application information has been extended to SNS and blog search records for each location. Recently, it is being used as a new industry such as location-based search and advertisement, driverless cars, Internet of Things (IoT) and online to offline (O2O) services. In this study, we propose an information system that enables users to receive information about nearby stores more effectively by using big data when a user moves a specific route. In addition, we have designed this system so that local stores can use this system to effectively promote it at low cost. In particular, we analyzed web-based information in real time to improve the accuracy of information provided to users by complementing the data. Through this system, system users will be able to utilize the information more effectively. Also, from a system perspective, it can be used to create new services by integrating with various web services.

• The Journal of the Korea Contents Association
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• v.12 no.2
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• pp.461-471
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• 2012

The purpose of this paper is to visualize the housing market dynamics with ESDA (Exploratory Spatial Data Analysis) using MATLAB toolbox, in terms of the modeling housing market dynamics in the Busan Metropolitan City. The data are used the real housing price transaction records in Busan from the first quarter of 2006 to the second quarter of 2009. Hedonic house price model, which is not reflecting spatial autocorrelation, has been a powerful tool in understanding housing market dynamics in urban housing economics. This study considers spatial autocorrelation in order to improve the traditional hedonic model which is based on OLS(Ordinary Least Squares) method. The study is, also, investigated the comparison in terms of $R^2$, Sigma Square(${\sigma}^2$), Likelihood(LR) among spatial econometrics models such as SAR(Spatial Autoregressive Models), SEM(Spatial Errors Models), and SAC(General Spatial Models). The major finding of the study is that the SAR, SEM, SAC are far better than the traditional OLS model, considering the various indicators. In addition, the SEM and the SAC are superior to the SAR.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.661-670
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• 2020

The purpose of this study was to investigate the incidence of sports injury and trend of incidence pattern of national judo athletes. The research method was analyzed based on the records of all injuries experienced by national judo athletes during training and competition for 9 years from 2008 to 2016. A total of 20,345 sports injuries requiring physical therapy were 10,768 (52.93%) for women, 9,577 (47.07%) for men, lower extremities 9,688 (47.62%), upper limbs 5,807 (28.54%), and trunk 4,850 (23.84%) and knee-related injuries (27.82%) occur more frequently than other injuries. Shoulders, feet and back were more frequent in male athletes, and ankle, neck and hand injuries were more common in female athletes. Using the binomial trend line, the trend of the decrease of sports injuries in each area was shown. However, infrequent injuries such as hands and hips tend to increase gradually. The results of this study are expected to be used as a training program for judo athletes' sports injury and basic data.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.723-731
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• 2017

The restoration of archaeological data was carried out using photographs and drawings left as past records. It can be divided into ruins and artifacts. The restoration of the ruins was performed by modeling the individual parts and parts left by the photographs, aligning them and synthesizing them, and reconstructing them three-dimensionally as one object. Restoration of artifacts was performed on both photographs and drawings. After the modeling work is prioritized through the photographs, there is a method of restoring the original image by modifying the texture image of the damaged part of the modeled artifact, or restoring the original image by modeling and synthesizing the deleted part in the artifact. The restoration of the artifacts through the drawings was carried out by three - dimensional modeling and reconstruction through real mapping of images. The reconstructed archaeological data can be used in various directions. In particular, it is possible to verify and compare the results of the numerical analysis and interpretation of the past 2D data, and to provide a more accurate analysis plan in the future.

• The Journal of the Korea Contents Association
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• v.19 no.12
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• pp.573-592
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• 2019

This study was based on the diary of George Clayton Fork, who arrived in Jeonju at 12:10 p.m. on November 10, 1884 and stayed for two nights and three days. During his stay, he was able to learn about the culture of Jeollagamyoung at that time through food, alcohol, banquets and gifts that he was treated to by gratitude. In particular, Fork added pictures and explanations of the deficiencies to its records, drawing half the breakfast table specially served by the Jeollagamyoung at 10 a.m. on Nov. 11. This is very valuable as the best and first source of knowledge of the food culture of the Joseon Dynasty in Jeonju, where no torture related to food was found. This is the result of a study that put great significance on objectively understanding the culture of Jeollagamyoung in the eyes of foreigners 135 years ago.

• The Journal of the Korea Contents Association
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• v.4 no.3
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• pp.125-130
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• 2004

This paper proposes a method of the car license plate recognition from digital camera image. Lots of technology advancement has been accomplished for the least several years. The key issue for recognition rate improvement has been the extraction of correct area on the plate. In the previous studies, the information from an edge or an color on a plate hasn't been used but some declination also taken into account in most cases due to the difficulty of area extraction on a tilted plate The proposed method focuses on transforming a slant plate image to the normalized form to be recognized. It shows good robustness on situations defined by a variety of locations, slants and heights of the license plate, because it detects the edge of license plate by using both the color information and linear regression method. The computer simulation shows that the proposed method records 92％ detection rates of license plate and can recognize characters of slant plate with about 50 degrees.

• Research in Community and Public Health Nursing
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• v.7 no.1
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• pp.5-17
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• 1996

The purpose of this study was to identify the differences of the outcomes of visiting nursing service (VNS) between the two types by the organizational structure of health centers. Type I referred to 3 health centers with departmentalization for VNS and type II of 3 health centers providing VNS under the subunit of a department. Data were collected from 38 visiting nurses at the six health centers for their perceived formalization, decision-making authority and job satisfaction, 293 clients for the satisfaction level with VNS served and their records analysis for level of quality care and frequency by the contents of VNS through the questionares during the period from June, 1 to August 30, 1993. Data were analyzed using $\chi^2$, F. t or/and Scheffe test. The result were as follows: 1) There were no significant differences in perceived formalization and decision -making authority of visiting nurses between the two types of health centers. 2) There were significant differences in the level of quality care and frequency of the VNS contents between the two types of health centers. 3) There were no significant differences in perceived clients' satisfaction and job satisfaction of the visting nurses between the two types of health centers. From this study, Not only organizational differentiation with the development of job standards and supportive system but also personnel development are suggested when new health care service in health centers begins.