• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.639-648
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• 2014

As provider-centered medical environment has changed into consumer-centered, this study intends to improve the efficiency of management by motivation to administrative staffs and improvement in job satisfaction. The purpose of this study is to analyze the factors that influence job satisfaction among administrative staffs in a metropolitan university hospitals. Survey of 305 people in total were used in the data analysis. AMOS 21 Ver. was used to perform Structural model(SEM) equation. First, the validation results showed the follow results $X^2=206.776$, df=77, Q=2.685, P<.001, GFI=.915, TLI=.927, CFI=.946, RMSEA=.074, which supported this research's significance. Second, compensation and working conditions positively affected motivation. Third, motivation positively influenced job satisfaction. Fourth, communication positively influenced job satisfaction. Fifth, after adjusting the mediating effect, in the relationship between compensation and job satisfaction, it was proved that motivation was a complete mediator. Incase of the relationship between the working conditions and job satisfaction, motivation acted as a partial mediator. Fair and reasonable compensation and employment stability, benefits and other working conditions, better internal and external communication between the organization are to increase job satisfaction. To do this, an administrator needs to have attention and will, and a variety of education and training programs need to be developed. The purpose of this study is to provide basic grounds for future policies related to increasing administrative staffs' job satisfaction.

• The Korean Journal of Archival Studies
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• no.19
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• pp.251-291
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• 2009

Due to the trend toward computerization of business services in public sector and the push for e-government, the volume of records that are produced in electronic system and the types of records vary as well. Of those types, dataset is attracting everyone's attention because it is rapidly being supplied. Even though the administrative information system stipulated as an electronic record production system is increasing in number, as it is in blind spot for records management, the system can be superannuated or the records can be lost in case new system is developed. In addition, the system was designed not considering records management, it is managed in an unsatisfactory state because of not meeting the features and quality requirements as records management system. In the advanced countries, they recognized the importance of dataset and then managed the archives for dataset and carried out the project on management systems and a preservation formats for keeping data. Korea also is carrying out the researches on an dataset and individual administrative information systems, but the official scheme has not been established yet. In this study the items for managing archives which should be reflected when the administrative information system is designed was offered in two respects - an identification method and a quality requirement. The major directions for this system are as follows. First, as the dataset is a kind of an electronic record, it is necessary to reflect this factor from the design step prior to production. Second, the system should be established integrating the strategy for records management to the information strategy for the whole organization. In this study, based on such two directions the strategies to establish the identification for dataset in a frame to push e-government were suggested. The problem on the archiving steps including preservation format and the management procedures in dataset archive does not included in the research contents. In line with this, more researches on those contents as well as a variety of researches on dataset are expected to be more actively conducted.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.101-112
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• 2018

A lot of manpower and budgets are being used to prevent fires, and only a small portion of the data generated during this process is used for disaster prevention activities. This study develops a prediction model of fire occurrence probability based on data mining in order to more actively use these data for disaster prevention activities. For this purpose, variables for predicting fire occurrence probability of various buildings were selected and data of construction administrative system, national fire information system, and Korea Fire Insurance Association were collected and integrated data set was constructed. After appropriate data cleansing and preprocessing, various data mining methodologies such as artificial neural network, decision trees, SVM, and Naive Bayesian were used to develop a prediction model of the fire occurrence probability of buildings. The most accurate model among the derived models is Linear SVM model which shows 68.42% as experimental data and 63.54% as verification data and it is the best model to predict fire occurrence probability of buildings. As this study develops the prediction model which uses only the set values of the specific ranges, future studies may explore more opportunites to use various setting values not shown in this study.

• Journal of Multimedia Information System
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• v.7 no.3
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• pp.215-220
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• 2020

Many state agencies and companies collect personal data for the purpose of providing public services and marketing activities and use it for the benefit and results of the organization. In order to prevent the spread of COVID-19 recently, personal data is being collected to understand the movements of individuals. However, due to the lack of technical and administrative measures and internal controls on collected personal information, errors and leakage of personal data have become a major social issue, and the government is aware of the importance of personal data and is promoting the protection of personal information. However, theory-based training and document-based intrusion prevention training are not effective in improving the capabilities of the privacy officer. This study analyzes the processing steps and types of accidents of personal data managed by the organization and describes measures against personal data leakage and misuse in advance. In particular, using Capture the Flag (CTF) scenarios, an evaluation platform design is proposed to respond to personal data breaches. This design was proposed as a troubleshooting method to apply ISMS-P and ISO29151 indicators to reflect the factors and solutions to personal data operational defects and to make objective measurements.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.411-417
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• 2006

As NGIS project has been implemented in 1995 and effectiveness of spatial information increased, Digital maps serve several purpose in administrative, living, and industrial fields. But, Digital maps have many differences with real world information and difficulties in application of managing urban facilities due to high update cost and long generation period. In this study, We suggest methodology to update a building layer of digital map in urban area as regenerating a building layer by detection of changed buildings in the existing digital map anf extraction using LIDAR data and Aerial images, more easier to acquire data and available to guarantee accuracy. Experimental results are expected to applied for constructing 3D urban model in a broad expensive urban area.

• Journal of Environmental Science International
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• v.13 no.11
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• pp.1001-1007
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• 2004

The rapid industrialization and urbanization in Osaka Bay have produced many serious water pollution problems since the 1960s. A symbolic phenomenon is algae bloom (red tide), which occurred 53 times in 1976. The special law was enacted in 1973 and a number of administrative steps were taken, such as cutting COD loading, reductions in phosphorus (P) and restriction of land reclamation. As a result, the pollution of Osaka Bay has gradually been reduced, and the environment has been improved to some extent. In this study, to analyze the relations between water qualities as well as a social, economic activity by the coastal zone, the water quality data in Osaka Bay of 70 years past since 1921 were collected. Data such as population, livestock, fertilizer, industrial product etc. were also collected for estimating nutrients flowing into bay from land. It was found that the water quality was changed of a similar trend of estimated nutrients load, with delay of about four or five years.

• Journal of Korean Society of Rural Planning
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• v.12 no.3 s.32
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• pp.39-42
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• 2006

The purpose of this study is to develop rural population model adapting cohort survival method with sift-share effects. Administrative district in this study is below Myun: about 2,000 population. Population data of rural area in 1990, 1995, and 2000 by age cohort were selected for applying developed model. Damping coefficient from population data was calculated as 7% and results applying this coefficient in rural population data below the error from 12% to 1.06%. In detail, most of cohorts fitted with developed model except from 15 to 29 age groups. Application result of small population area; DaesulMyun revealed that main factor of population change is not natural change but migration.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.5
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• pp.727-737
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• 2007

The aims of this study was to suggest a new efficiency measurement indicator for evaluating the management efficiency of decision making units(DMUs) in the contract foodservice industry. The data envelopment analysis(DEA) model which considers multiple inputs and outputs and looking for benchmarks, was used to compare the productivity of DMUs. We considered sales, profits, and customer satisfaction as output variables and it adopted food cost, labor cost and administrative expense as input variables. The results of applying DEA revealed relatively efficient types of business and service types. The efficiency of school units was highest and the mired service type was the most efficient one. In this study the CCR model efficiency was analysed with profit and the customer satisfaction index by the matrix method. DEA efficiency was correlated with profit but there was no correlation between DEA efficiency and the customer satisfaction index.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.881-890
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• 2004

Purpose: The purpose of this study was to explore women caregivers' lived experiences in caring at home for a family member with dementia and to identify conditions that oppress women in the context of family caregiving. Method: This study was conducted within the feminist perspectives using qualitative secondary data. Ten secondary data conveying self reflective contents were selected from the 25 original data obtained in 1999 to 2000. Result: Six themes that emerged from the qualitative thematic content analysis were; androcentric view of family caregiving, undervalued family caregiving by the family members, Self rationalization in the context of family caregiving, family-centric care mechanism, exemplary caring within the family context, and inter-familial relationships among women. Conclusion: The main focus of feminist research is to provide empowerment for the women, research participants and to bring about social change of oppressive constraint through some actions. On the basis of the research findings, therefore, action strategies from feminist perspectives were suggested in some aspects of health care delivery sectors, nursing education and research sectors, and administrative sectors.

• Journal of Satellite, Information and Communications
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• v.3 no.2
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• pp.54-59
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• 2008

Traditionally R&D evaluation has been performed by experts who can understand the contents of the study area very well. Recently extensive application of quantitative evaluation methods have been attempted for introducing the administrative management system that poses greater importance on records and results. More objective reviews on the R&D outcomes are called for gaining public supports. In this paper a bibliometrical analysis is to be performed to evaluate satellite communication and broadcasting public R&D outcomes for last 7 years. Data envelopment analysis method is selected for evaluating the efficiencies of multiple outputs (papers, patents, royalties, technology transfers) where multiple inputs (number of researchers and R&D expenses) are given. R&D outcomes from 22 research institutes are being compared and satellite communication and broadcasting R&D efforts turn out to be highly efficient.