• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.5787-5792
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• 2015

Background: Reported age standardized incidence rates for esophageal cancer in Iran are 0.88 and 6.15 for females and males, at fifth and the eighth ranks, respectively, of cancers overall. The present study aimed to map relative risk using more realistic and less problematic methods than common estimators. Materials and Methods: In this ecological investigation, the studied population consisted of all esophageal cancer patients in Iran from 2005 to 2007. The Bayesian multilevel space-time model with three levels of county, province, and time was used to measure the relative risk of esophageal cancer. Analyses were conducted using R package INLA. Results: The total number of registered patients was 7,160. According to the results, the three-level model with adjustment for risk factors of physical activity and smoking had the best fit among all models. The overall temporal trend was significantly increasing. At county level, Ahar, Marand, Salmas, Bojnoord, Saghez, Sarakhs, Shahroud and Torbatejam had the highest relative risks. Physical activity was found to have significant direct association with risk of developing esophageal cancer. Conclusions: Given to great variation across geographical areas, many different factors affect the incidence of esophageal cancer. Conducting further studies at the individual level in areas with high incidence could provide more detailed information on risk factors of esophageal cancer.

• 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.

• Journal of Korean Society of Forest Science
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• v.88 no.2
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• pp.133-141
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• 1999

The purposes of this study were to evaluate the present management policy of recreation forest under competitive environment with similar types of recreation areas like national parks and to suggest the effective management strategies, using a multidimensional scaling technique. Data were collected from 1200 residents of Seoul, Pusan, Taegu, Kwangju, and Taejon sampled by two stage cluster sampling method. There were some different perceptions between Seoul residents and the others, but most of the respondents perceived recreation forests as uncrowded natural areas with reasonable use fees. The results suggested the need for developing effective marketing strategies to have distinguishing images from national parks that have competitive.

• Journal of Korean Academy of Nursing Administration
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• v.1 no.1
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• pp.22-34
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• 1995

Health care marketing can be defined as a process of developing, promoting and administering health care services for the benefits of hospitals as well as consumers. Researchers have reported that one of the significant attributes in the selection of hospital is a client's perceived image of the hospitals. Especially the image of nursing services was one of the important factors of the hospital image. The main purposes of the study were 1) to define the positioning about 5 hospitals' image of nursing services. 2) to define the effects of image attributes to the iamage of hospital nursing services. Eighteen hundred questionnaires were distributed to the parents of middle schools and high schools in Seoul. Among them, 1340 cases were returned but 849 cases were turned out to be useful data and used in final analysis. In data analysis, $SPSS\;/PC^+$ and PC-MDS programs were used for descriptive statistics, multiple regression, and drawing perceptual maps. The image of hospital nursing services was measured developed by the author through literature review and content validation. Reliability coefficients was found to be statistically appropriate level of confidence(Cronbach's Alpha=.8617). The results were as follows : 3) The perceptual map shows that hospital A, B and C,D,E were divided into five groups(See Fig. 1). That is, hospital A, and B are located in a close position and hopital C & E are located at opposite position between X-axis, Hospital D was located in the middle area of the hospital C and:E. In conclusion, this research visiblely depicted perceptual maps using MDS of the consumer's image about hospital nursing services. Since hopital nursing services were differentiated by the image attributes in consumer's perception, the results of the study can help hospital managers plan marketing strategy according to their strong points or weak points. Because the necessity of marketing in recent health care was importantly recognized, this research which is adopting posititioning concept will contribute to the consumers and hospital organizations.

• Korean Journal of Remote Sensing
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• v.36 no.1
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• pp.15-27
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• 2020

Accurate knowledge of land use/land cover (LULC) features and their relative changes over upon the time are essential for sustainable urban management. Urban sprawl growth has been always also a worldwide concern that needs to carefully monitor particularly in a developing country where unplanned building constriction has been expanding at a high rate. Recently, remotely sensed imageries with a very high spatial/spectral resolution and state of the art machine learning approaches sent the urban classification and growth monitoring to a higher level. In this research, we classified the Quickbird satellite imagery by object-based image analysis of Dempster-Shafer (OBIA-DS) for the years of 2002 and 2015 at Karbala-Iraq. The real LULC changes including, residential sprawl expansion, amongst these years, were identified via change detection procedure. In accordance with extracted features of LULC and detected trend of urban pattern, the future LULC dynamic was simulated by using land transformation model (LTM) in geospatial information system (GIS) platform. Both classification and prediction stages were successfully validated using ground control points (GCPs) through accuracy assessment metric of Kappa coefficient that indicated 0.87 and 0.91 for 2002 and 2015 classification as well as 0.79 for prediction part. Detail results revealed a substantial growth in building over fifteen years that mostly replaced by agriculture and orchard field. The prediction scenario of LULC sprawl development for 2030 revealed a substantial decline in green and agriculture land as well as an extensive increment in build-up area especially at the countryside of the city without following the residential pattern standard. The proposed method helps urban decision-makers to identify the detail temporal-spatial growth pattern of highly populated cities like Karbala. Additionally, the results of this study can be considered as a probable future map in order to design enough future social services and amenities for the local inhabitants.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5576-5585
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• 2013

The purpose of this study was to suggest educational development plans that should provide better small business education by solidifying it and maximizing its effectiveness in order to reinforce the competitiveness of small business. As the results of the analysis, 15 essential tasks were suggested. The conclusions drawn from the study were as follows: First, SEDA should establish a practical road map in a long-term basis, and precede small business education by coping with social changes. Second, SEDA should expand the inclusive capacity that builds comprehensively and nationally the network with EHRD, its local branches and Small Business Centers. Third, it was quite suggestive that SEDA should follow up one of major strategies, that is optimizing curriculum, by developing proper curriculum based on small business life cycle and approaching it in a systematic way.

• Journal of Korean Society of Rural Planning
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• v.13 no.1 s.34
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• pp.73-84
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• 2007

The first theme of this study is to preserve and manage rural multi-functionality resource Information. This study is to suggest the method that can irradiate rural multi-functionality resource Information efficiently and constructively. GIS uses PDA and Tablet PC as an investigation tool and verifies the outcome of the development in the investigation system. This study enhanced the mobility function of PDA by installing recording system and camera to the PDA. Also, Using GPS has been ensured scientific precision and realism to the investigation. Direct input on spot can save time, cost and minimize human error by simplifying the investigation process. Database is composed of characters like scale, form, location, distance, resident's opinion and image of 37 resources. The survey system was applied in 170 villages and got a total of 12,270 resources data. Management system should be easy to input and output the surveyed information and to get reports in any kind of form ( i.e. final result can be produced as a map). By utilizing of the Rural Resource information system, the study made a simulation to compare the target areas before and after. Also, digitalized investigation system, minimized re-input and reprocessing of data and enabled to simplify and standardize the process than memorandum investigation. Data collected through digital system could offer people useful information by Web-GIS. It was need to specify practical way in decision-making and a way to measure the value of resources to align with the regional plan. Also, need to keep on developing statistical data and application program that can connect us to present the best solution to support regional planning. Therefore, quality of data is very important. Finally, it is very important to develop various programs to analyze space md rural resource by monitoring rural environment.

• Journal of Internet Computing and Services
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• v.12 no.1
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• pp.39-53
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• 2011

Recently, a new media reform bill has passed through the National Assembly in Korea. The introduction of comprehensive programming channels that combine news and entertainment programs is expected to have a direct and indirect effect on the media related industry. And it affects not only existing traditional media operators, but also companies that consider entering the comprehensive programming business. This study analyzes the changes caused by the emergence of new businesses and identifies competitive strategies. Using Scenario Network Mapping (SNM) that is a scenario planning methodology for developing an industry network map in a complex environment. As a result of this study, the following competitive factors were identified: new business competitiveness, government policy and support, and content differentiation. This study has significance as an initial study on comprehensive programming channels strategies. It also provides implications to the government and the entrepreneur who is considering starting a comprehensive programming business.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2010.04a
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• pp.301-306
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• 2010

Recently GIS is not only displaying and servicing data on the 2D, but also is changing rapidly to display and service 3D data. Also 3D related technology is developing actively. For display of 3D data, terrain DTM has become a basis. Generally, to acquire DTM, users are using LIDAR data or digital map's contour line. However, if using these data for producing DTM, users need to additional cost and data lead time. And hard to update terrain data. For possibility of solving these problem, this study did DTM extraction with automatic matching for aerial photograph, and analysed the result with measurement of Orthometric height and excuted accuracy through DTM(which extracted from digital photogrammetric technique). As a result, we can get a high accuracy of RMSE (0.215m).

• Journal of Life Science
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• v.21 no.3
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• pp.468-472
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• 2011

DNA marker is a powerful tool for plant genetics and breeding. In this study, 995 SSR markers were employed with chilling resistant cucumber, known as 'NC76', and chilling susceptible cucumber, known as 'GY14'. Using 2% agarose gel electrophoresis, 145 SSR markers were identified as length variation markers between 'NC76' and 'GY14'. The SSR markers that showed no length polymorphism were then screened using high resolution melting analysis technique and additional 30 polymorphic SSR markers were identified. As a preliminary evaluation for mapping, 20 markers among these 175 markers were employed to a $F_2$ population of 'NC76' x 'GY14' cross. Linkage analysis revealed 13 markers that joined into six linkage groups and seven markers that remained unlinked. This result indicates that these 175 markers could be used for construction of a genetic map using a cross between 'NC76' and 'GY14' for further investigation in developing markers related to resistance to chilling in cucumbers.