• Educational Technology International
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• v.18 no.1
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• pp.1-25
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• 2017

Educational applications of big data analysis have been of interest in order to improve learning effectiveness and efficiency. As a basic challenge for educational applications, the purpose of this study is to develop a comprehensive data set scheme for learning analytics in the context of digital textbook usage within the K-12 school environments of Korea. On the basis of the literature review, the Start-up Mega Planning model of needs assessment methodology was used as this study sought to come up with negotiated solutions for different stakeholders for a national level of learning metrics framework. The Ministry of Education (MOE), Seoul Metropolitan Office of Education (SMOE), and Korean Education and Research Information Service (KERIS) were involved in the discussion of the learning metrics framework scope. Finally, we suggest a proposal for the national learning metrics framework to reflect such considerations as dynamic education context and feasibility of the metrics into the K-12 Korean schools. The possibilities and limitations of the suggested framework for learning metrics are discussed and future areas of study are suggested.

• Journal of Fashion Business
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• v.27 no.5
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• pp.135-145
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• 2023

The purpose of this paper is to develop a workwear design framework that can be applied in workwear design. A general explorationstudy was conducted onworkwear concepts and market research to understand the importance and growth potential of workwear. Subsequently, representative brands specializing in workwear are selected, and a case analysis of workwear is conducted with a focus on jackets, pants, and overall items. As a result, four key characteristics of workwear are derived: Ergonomic Pattern-making, Certified Fabric, Specialized Color, and Customized Details. To present a model that considers the functional, expressive,and aesthetic aspects of workwear simultaneously, the 'Function Express Aesthetic' (FEA) model is utilized as the foundation. The 12 derived elements in the newly developed framework combine these four characteristics with three aspects (functional, expressive, and aesthetic), allowing for comprehensive consideration and validation of workwear conditions. The new framework will be used in subsequent research for developing workwear prototypes and is expected to enhanceworkwear production by employing a systematic approach during the design ideation and evaluation stages. By effectively integrating functional aspects with expressive-aesthetic values centered on the functionality of workwear products, this framework will provide.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.459-466
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• 2011

In this paper, we proposed a data mining framework for the management of alerts in order to improve the performance of the intrusion detection systems. The proposed alert data mining framework performs alert correlation analysis by using mining tasks such as axis-based association rule, axis-based frequent episodes and order-based clustering. It also provides the capability of classify false alarms in order to reduce false alarms. We also analyzed the characteristics of the proposed system through the implementation and evaluation of the proposed system. The proposed alert data mining framework performs not only the alert correlation analysis but also the false alarm classification. The alert data mining framework can find out the unknown patterns of the alerts. It also can be applied to predict attacks in progress and to understand logical steps and strategies behind series of attacks using sequences of clusters and to classify false alerts from intrusion detection system. The final rules that were generated by alert data mining framework can be used to the real time response of the intrusion detection system.

• Journal of the Korean earth science society
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• v.32 no.1
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• pp.99-112
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• 2011

History of science (HOS, hereafter) has been considered as a useful tool for achieving a variety of objectives in science lesson. The purpose of this study was to develop three dimensional framework for effectively analyzing HOS content in science textbook. In addition, using this framework, we analyzed HOS content in science textbooks of the 7th curriculum by focusing on the history of Earth science. Developed framework consists of three dimensions; instruction context, role, and type. Each dimension has several sub-domains. The results of textbook analysis revealed that science textbook didn't include diverse HOS materials that are appropriate to three dimensions and its sub-domains of the framework. Based on the results, we proposed that three dimensional framework is an effective tool to develop materials for teaching and learning materials of HOS with multiple coordinations of various contexts and purposes.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.85-92
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• 2019

Companies can identify user groups or consumption trends by collecting and analyzing opinions of many users on special subjects or their products as well as utilize them as various purposes such as predicting some specific trends or marketing strategies. Therefore current analyzing tools of social media have come into use as a means to measure the performances of social media marketing through network's statistical analysis. However these tools require expensive computing and network resources including burden of costs for building up and operating complex software platforms and much operating know-how. Hence, small companies or private business operators have difficulty in utilizing those social media data effectively. This paper proposes a framework applied into developing analysis system of social media. The framework could be set up and operate the system to extract necessary social media's data. Also to design the system, this study suggests a meta-model of proposed framework and to guarantee completeness and consistency, a formal specification of meta-model by using Z language is suggested. Finally, we could verify the clearness of framework's design by performing Z model checking of formal specification's output through Z-EVES tool.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.6
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• pp.315-321
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• 2014

Mobile computing devices such as smartphones, tablet computers have become the dominant personal computing platforms. Energy efficiency is a prime design requirement for smart devices. In order to reduce the energy consumption of the smart devices, analysis of performance and energy consumption has become important. However, so far, there is no framework for the analysis and systematic approach to improve the power consumption of the heterogeneous multi-core system. In this paper, we describe a new framework for the analysis of heterogeneous multi-core systems. Also, by use of an analysis tool, can be provide reliability and productivity of development results.

• Proceedings of the KSME Conference
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• 2003.11a
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• pp.1328-1333
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• 2003

In the present study, an integrated framework of geometric modeling, analysis, and design optimization is proposed. Geometric modeling is based on B-spline surface representation. Geometrically-exact shell finite element is implemented in analysis module. Control points of the surface are selected as design variables for optimization, which can make the interaction easier between analysis and surface representation. Sequential linear programming(SLP) is adopted for the shape optimization of surfaces. For the computation of shape sensitivities, semi-analytical method is used. The developed integrated framework should serve as a powerful tool for the geometric modeling, analysis, and shape design of surfaces.

• Proceedings of the Korea Society of Design Studies Conference
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• 2004.10a
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• pp.186-187
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• 2004

• Journal of the Korean Society for Precision Engineering
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• v.23 no.5 s.182
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• pp.24-29
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• 2006

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.50-54
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• 2001

Information systems development entails planning, analysis, design and construction phases. The analysis phase identifying user requirements is the most important of these phases. Since unidentified defects in the early phase causes increased work and costs as development proceeds, the quality of analysis results affects the quality of the resultant system. Major tasks in the analysis phase are data modeling and process modeling. Research on building a knowledge-based system for data modeling have been conducted much, however, not sufficiently for process modeling. As a system environment with high user interaction increases, research on process modeling methods and knowledge- based systems considering such environment are required. In this research, a process modeling framework for information systems with high user interaction is suggested and a knowledge-based system for supporting the suggested framework is implemented. A proposed model consists of the following tasks: event analysis, process analysis, and event/process interaction analysis. Event analysis identifies business events and their responses. Process analysis break down the processes of an enterprise into progressively increasing details. Decomposition begins at the function level and ends when the elementary process level is reached. Event/process interaction analysis verifies the results of process analysis and event analysis. A knowledge-based system for supporting a proposed process modeling framework is implemented in a web-based environment.