• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.51-58
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• 2016

In the area of hotel and tourism sector, various research are analyzed using big data. Big data is being generated by any digital devices around us all the times. All the digital process and social media exchange produces the big data. In this paper, we analyzed the de-identification method of big data to use the personal information of hotel guests. Through the analysis of these big data, hotel can provide differentiated and diverse services to hotel guests and can improve the service and support the marketing of hotels. If the hotel wants to use the information of the guest, the private data should be de-identified. There are several de-identification methods of personal information such as pseudonymisation, aggregation, data reduction, data suppression and data masking. Using the comparison of these methods, the pseudonymisation is discriminated to the suitable methods for the analysis of information for the hotel guest. Also, among the pseudonymisation methods, the t-closeness was analyzed to the secure and efficient method for the de-identification of personal information in hotel.

• Korea Journal of Hospital Management
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• v.24 no.2
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• pp.1-11
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• 2019

Purpose: The purpose of this study is to identify relationship between work unstability and personal medical expenditure ratio focusing on wage workers' contract period. Method: This study analyzed 2015 yearly data beta version of Korea Health Panel, co-managed by Korea Institute for Health and Social Affairs and National Insurance Corporation for data analysis. When executing linear regression, Household income was applied with equivalized income, and the proportion of personal medical expenditure was naturally logged to perform linear regression and the demographic and socioeconomic factors were taken into account. The demographic and socio-economic factors were also considered. Findings: As a result of reviewing the used factors, it was found that the more unstable work status, the higher personal medical expenditure ratio. This result corresponds to 'The Theory of Fundamental Causes' by Link & Phelan. Conclusion : It indicates that policy efforts should be made to improve the working environment and health level of socially unstable workers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.12
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• pp.2274-2281
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• 2016

In the long-term ecological research community, personal information is an important factor for the collaboration of data management and data usage in international long-term ecological research as well as on the national level. If lots of personal information was disclosed, collaborative researchers are useful to carry out research cooperation, whereas, information providers tend to be burdened to disclose it. LTER system should be considered to provide both maximum personal information required by a community and minimum personal information to be provided to unrelated people due to the scale of personal information and a number of the constraints on disclosure in the aspect of information distribution of the laws associated with personal information protection. In this article, we analyze international ecological metadata standard, EML, and trends in personal information management throughout international long-term ecological research platforms and propose a system model capable of managing personal information based on related domestic laws for the international data exchange through design and implementation.

• Journal of Computing Science and Engineering
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• v.3 no.4
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• pp.238-259
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• 2009

In this paper we discuss personal data management with mobile devices, an activity requiring the composition of services offered by standard suites of applications. We propose a data model and an interface model that allows users to define activities, tasks and services, to navigate among them according to the evolution of the personal situation as perceived and interpreted by the users themselves. The interface model acts as a lens exploring the situation, zooming into the details, covering different areas of the personal data, supporting the user in the role of a composer of personal services.

• Korean Journal of Computational Design and Engineering
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• v.21 no.3
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• pp.215-223
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• 2016

The low price around 1000 USD makes consumer 3D printers as a new additive manufacturing platform for the personal manufacturing where consumers can make and sell their own products. To allow the consumers to design and manufacture their products, not only economic 3D printers but also supporting information systems for their design and manufacturing are essential. This study suggests an extended product data management (PDM) system that can support both the design and manufacturing of personal products with consumer 3D printing services. This extended PDM system helps consumer designers use advanced PDM technologies for their design and connected 3D printing services with Internet of Things (IoT) technology for realization of their products. As a result, the proposed system supports the consumer designers a seamless integrated product development and manufacturing environment supported by PDM and consumer 3D printing services.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.7-21
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• 2017

This study analyzed the methods for representing and linking personal information in the linked data of National Library of Korea and provided suggestions for expanding the scope of identifying and linking of the personal information. As a result, the personal information as a subject has been dealt with a concept, where the personal information as a contributor has been linked with a vocabulary of personal name. In addition, there have not been assured of including additional information except existing authority data in the process of building the linked data. Therefore, this study suggested that linking personal information as a subject and personal information as a contributor was essential for the quality of linked data. In addition, we proposed to provide additional information related to the person in linked data for expanding the scope of access points in information discovery.

• Journal of the Korean Society for information Management
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• v.37 no.1
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• pp.107-126
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• 2020

With the rapid increase in information and the development of information technologies, the importance of information management is increasing for individuals. The study aimed to examine how the motivations or disturbance factors of personal information management affect college students. First, the motivation and disturbance factors of personal information management were derived through the analysis of previous studies, and the effects of these factors on information organization and information management activities were analyzed. For this purpose, an online questionnaire was conducted for college students at a university in Seoul and a total of 593 valid responses were analyzed. The study found that the motivations or disturbance factors of personal information management influenced personal information management behavior. The study extends the literature of personal information management by analyzing the information management behavior of individuals and identifying the factors influencing such behavior. Furthermore, the finding of the study suggests the practical implications that it is essential to provide personal information management education so that college students can manage personal information efficiently.

• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.300-302
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• 2006

Middleware offers function that user application program can transmit data independently of network device. Connection management about network connection of module is important for normal service of module base personal robot. Unpredictable network disconnection is influenced to whole robot performance in module base personal robot. For this, Middleware must be offer two important function. The first is function of error detection and reporting about abnormal network disconnection. Therefore, middleware need method for network error detection and module management to consider special quality that each network device has. The second is the function recovering that makes the regular service possible. When the module closed from connection reconnects, as this service reports connection state of the corresponding module, the personal robot resumes the existing service. In this paper proposed method of network connection management for to support fault tolerant about network error of network module based personal robot.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.273-290
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• 2006

This study suggests a frequency matrix technique to predict personal credit rate more efficiently using incomplete data sets. At first this study test on multiple discriminant analysis and logistic regression analysis for predicting personal credit rate with incomplete data sets. Missing values are predicted with mean imputation method and regression imputation method here. An artificial neural network and frequency matrix technique are also tested on their performance in predicting personal credit rating. A data set of 8,234 customers in 2004 on personal credit information of Bank A are collected for the test. The performance of frequency matrix technique is compared with that of other methods. The results from the experiments show that the performance of frequency matrix technique is superior to that of all other models such as MDA-mean, Logit-mean, MDA-regression, Logit-regression, and artificial neural networks.

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.221-232
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• 2014

This research aims to improve oral health knowledge through oral health education by investigating and analyzing the effect of subjective oral health knowledge and oral health behavior on personal oral hygiene management ability targeted for adults who visited a dental hygiene laboratory at B University in Busan for comprehensive dental hygiene management and procedure from September 23, 2013 to December 12, 2013, and provide basic data to improve adults' personal oral hygiene management ability by inducing behavior on oral health. Results derived from the research are as follows. Oral health education is a prerequisite to improve personal oral hygiene management ability through improvement in oral health knowledge and oral health behavior, which leads to improved personal oral health and furthermore promotion of national oral health through not just simply transmitting oral health knowledge, but desirable change in oral health behavior based on oral health knowledge.