• Convergence Security Journal
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• v.4 no.3
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• pp.57-82
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• 2004

The confluence of computers, communications, and databases is quickly creating a distributed database where many applications require real-time access to temporally consistent sensor data. We have developed an object-oriented real-time database system called BeeHive to provide a significant improvement in performance and functionality over conventional non-real-time database and object management systems. In this paper, the performance of two data-deadline cognizant scheduling policies EDDF and EDF-DC and the baseline EDF policy with/without admission control are evaluated through extensive experiments on BeeHive. The ranges where data-deadline cognizant scheduling policies are effective and where admission control plays a role are identified.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.3
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• pp.115-140
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• 2024

With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.187-196
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• 2017

It is urgent to prepare countermeasures for traffic congestion problems of Korea's metropolitan area where central functions such as economic, social, cultural, and education are excessively concentrated. Most users of public transportation in metropolitan areas including Seoul use the traffic cards. If various information is extracted from traffic big data produced by the traffic cards, they can provide basic data for transport policies, land usages, or facility plans. Therefore, in this study, we extract valuable information such as the subway passengers' frequent travel patterns from the big traffic data provided by the Seoul Metropolitan Government Big Data Campus. For this, we use a Hadoop (High-Availability Distributed Object-Oriented Platform) to preprocess the big data and store it into a Mongo database in order to analyze it by a sequential pattern data mining technique. Since we analysis the actual big data, that is, the traffic cards' data provided by the Seoul Metropolitan Government Big Data Campus, the analyzed results can be used as an important referenced data when the Seoul government makes a plan about the metropolitan traffic policies.

• Journal of Applied Reliability
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• v.16 no.4
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• pp.313-322
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• 2016

Purpose: We introduce ways to employ Markov chain model to evaluate the effect of preventive maintenance process. While the preventive maintenance process decreases the failure rate of each subsystems, it increases the downtime of the system because the system can not work during the maintenance process. The goal of this paper is to introduce ways to analyze this trade-off. Methods: Markov chain models are employed. We derive the availability of the system consisting of N repairable subsystems by the methods under various maintenance policies. Results: To validate our methods, we apply our models to the real maintenance data reports of military truck. The error between the model and the data was about 1%. Conclusion: The models developed in this paper fit real data well. These techniques can be applied to calculate the availability under various preventive maintenance policies.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.5
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• pp.327-336
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• 2016

Prediction of customer failure rates plays an important role for establishing appropriate management policies and improving the profitability for industries. For these reasons, many LCD (Liquid crystal display) manufacturing industries have attempted to construct prediction models for customer failure rates. However, most traditional models are based on the parametric approaches requiring the assumption that the data follow a certain probability distribution. To address the limitation posed by the distributional assumption underpinning traditional models, we propose using parameter-free data mining models for predicting customer failure rates. In addition, we use various information associated with product attributes and field return for more comprehensive analysis. The effectiveness and applicability of the proposed method were demonstrated with a real dataset from one of the leading LCD companies in South Korea.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.763-764
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• 2006

The rapid growth of Hardware technologies and Network fitted to us Ubiquitous Computing Life[1]. Ubiquitous Computing integrates computation into the environment, rather than having computers which are distinct objects. There are many computational things like a Sensor Network, RFID, GPS, Mobile devices, and so on. Ubiquitous Data Integration and Management are new paradigms. The goals of UDI Service Platform are data protection for the distributed data on pervasive computing devices and data distribution to appropriate users with best distribution policies. To implement the idea we evaluate the logical schema Cyber View that is a management tool.

• Journal of Information Technology Applications and Management
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• v.21 no.4_spc
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• pp.431-447
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• 2014

Demand of spectrum resource is tremendously increasing and this trend will continue as more IT services such as cloud computing, smart devices, Internet of Things are provided through wireless network. Recent development of spectrum sharing technology has drawn attention to spectrum policy makers as a promising way to overcome the expected spectrum shortage problem. However, technology-based solution to spectrum shortage problem may not be sustainable since the solution affect only one aspect of spectrum sharing ecosystem. To understand the whole picture of spectrum shortage problem, policies to vitalize spectrum sharing ecosystem were proposed based on the analysis of System Dynamics causal map in the previous study. This study compares and analyzes the effect of those proposed vitalization policies by using System Dynamics simulation. Among seven alternative policies, combined application of demand acceleration policy and technology development policy was found to be more effective for better utilization of spectrum. The effect of demand acceleration policy was offset when other policies are applied together except supply acceleration policy which shows better spectrum sharing.

• STI Policy Review
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• v.1 no.4
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• pp.21-28
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• 2010

This study analyzes the establishment of venture companies and the interaction of venture ecosystem components (the core factors of venture ecosystems) with a focus on venture companies, venture capital, and the return market. Government support policies are understood as a catalyst for the venture ecosystem and this study will analyze the implications of government involvement by identifying the role of government policies in the venture ecosystem. According to the results of the empirical analysis with data on confirmed venture businesses by the Small and Medium Business Administration (SMBA), policies that provide direct support to venture companies did not have a significant influence on the establishment of new ventures. However, new investments by venture capital show a statistically significant positive effect and signify that the new investment is an important factor in vitalizing the establishment of new venture businesses and that the economic conditions of the return market have a positive effect. The establishment of venture businesses responds to the changes in real and vertical markets with greater resilience compared to government policies. Given the unique nature of the Korean venture ecosystem that responds to the market with greater resilience than government policies, there must be increased efforts to recover the confidence of the capital markets for venture capital in order to promote improved efficiency.

• Journal of Families and Better Life
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• v.30 no.3
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• pp.1-11
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• 2012

The purpose of this study is to analyze the effects of attitudes toward reasons for which abortion is permitted on needs for abortion prevention policies among 232 unmarried female students at the middle schools, high schools, and universities located in Seoul. The respondents were requested to complete the self-administered questionnaire, and the principal component analysis, t-tests, Pearson's correlations, and hierarchical multiple regression analyses were performed for analyzing data. The major findings of this study were as follows: First, the principal component analysis identified three reasons for which abortion is permitted. These are reasons under the maternal & child health law, socioeconomic reasons, and normatively unqualified reasons. Second, the female students showed permissive attitudes toward reasons for abortion under the maternal & child health law, disapproval attitudes toward socioeconomic reasons for abortion, and neutral attitudes toward abortion by normatively unqualified reasons. Students also showed high levels of needs for abortion prevention policies. Finally, hierarchical regression analyses revealed that female students' attitudes toward reasons for which abortion is permitted significantly predicted levels of needs for abortion prevention policies, after controlling their sciodemographic characteristics. The implications of the study results are discussed.

• Journal of the Korean Home Economics Association
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• v.43 no.11 s.213
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• pp.165-183
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• 2005

Total fertility rate in South Korea is the lowest in the world. A fertility rate below replacement fertility level will result in serious social problems in the long term. Therefore, it is worthwhile to study a general understanding about the low fertility rate phenomenon and to investigate the effectiveness of fertility policies in order to ameliorate the resulting social problems due to the low fertility rate. This research was a descriptive examination into the low fertility rate phenomenon and an investigation of the needs for fertility potties and their effectiveness. The study subjects were consisted of 769 unmarried people aged from 18 to 40 years old. Data were collected from June to August 2004 and were analyzed by frequencies, mean, and standard deviation. The following results were revealed. First, unmarried people in general had positive perspectives about getting marriaged, giving birth, and being a parent. In addition, the primary cause of low fertility rate was economical difficulties for raising a child. Third, unmarried people thought that the low fertility rate phenomenon resoled in both positive and negative changes in a society. Fourth, policies for economical supports for raising children, establishing social atmosphere for gender equality, and trustful public educational systems were the political alternatives that people really wanted for having a child in the future. Effective alternatives for policies and strategies to address the low fertility rate problems are suggested in the discussion section.