• Journal of Korea Multimedia Society
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• v.22 no.4
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• pp.502-514
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• 2019

Existing user research methods are subject to a variety of research conditions such as the amount and variety of data collected and the expertise of the facilitator of a group research session. In this study, we propose a new user research methodology using an 'Issue-Network' system, which is developed based on the theory and methods of social network analysis. The Issue-Network is designed to define problem spaces from the issues raised by users in a group research session in a form of an interactive network graph. The system helps to break out of ordinary perspectives of looking into problem spaces by enabling an alternative and more creative way to connect issues in the network. In this study, we took a case study of generating the Issue-Network on behalf of the problems raised by users in various driving-related situations. We were able to draw three navigation usage scenarios that cover relatively important problem spaces: safety and being ready for the unexpected, smart navigation and notifications, making use of the spare time. In the future, the Issue-Network system is expected to be used as a tool to identify problems and derive solutions in group research sessions involving a large number of users.

• Strategy21
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• s.45
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• pp.91-115
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• 2019

When compared to land territorial claims, maritime claims have not attracted as much attention from the public as well as the academia. However, after the ICOW (Issue Correlates of War) data was published and was expanded to include maritime and river claims, there have been many quantitative studies that analyze maritime claims or separate different types of territorial claims to explain various mechanisms over different types of territorial claims. These quantitative studies have provided valuable explanations about the onset and the management of maritime claims. This research tries to review these quantitative research. Most studies about maritime claims, especially regarding the management of claims, analyze maritime claims based on two different levels of factors. First, from the perspective of systemic level, several studies focus on the role of international institutions and systemic level of democracy to explain the management of maritime claims. Second, at the dyadic level, many studies explain how the issue salience, past experience, the presence of resources, joint democracy, and relative power influence the occurrence of peaceful settlement attempts or conflictual behaviors over maritime claims. Based on the review of these literature, this research tries to identify several factors to explain the Dokdo issue and to encourage peaceful settlement attempts over the Dokdo issue.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5179-5202
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• 2018

Transmission Control Protocol (TCP) is the most widely used protocol in the cloud data centers today. However, cloud data centers using TCP experience many issues as TCP was designed based on the assumption that it would primarily be used in Wide Area Networks (WANs). One of the major issues with TCP in the cloud data centers is the Incast issue. This issue arises because of the many-to-one communication pattern that commonly exists in the modern cloud data centers. In many-to-one communication pattern, multiple senders simultaneously send data to a single receiver. This causes packet loss at the switch buffer which results in TCP throughput collapse that leads to high Flow Completion Time (FCT). Recently, Software-Defined Networking (SDN) has been used by many researchers to mitigate the Incast issue. In this paper, a detailed survey of various SDN based solutions to the Incast issue is carried out. In this survey, various SDN based solutions are classified into four categories i.e. TCP Receive Window based solutions, Tuning TCP Parameters based solutions, Quick Recovery based solutions and Application Layer based solutions. All the solutions are critically evaluated in terms of their principles, advantages, and shortcomings. Another important feature of this survey is to compare various SDN based solutions with respect to different performance metrics e.g. maximum number of concurrent senders supported, calculation of delay at the controller etc. These performance metrics are important for deployment of any SDN based solution in modern cloud data centers. In addition, future research directions are also discussed in this survey that can be explored to design and develop better SDN based solutions to the Incast issue.

• Hwankyungkyoyuk
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• v.23 no.4
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• pp.124-136
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• 2010

The purpose of this study was to develop the environmental issues instruction materials for elementary students based on IEEIA model, and to investigate the influence of on environmental literacy of 6th graders in elementary school. A reconstructed questionnaire through Jin(2004)'s test tool is used to survey the effects of applying an environmental issue instruction materials. The i-STATistics program is used to analyze the results. The results of this study are as follows. First, this instruction materials had a positive effect on elementary school students' environmental literacy in environmental issue. Second, according to qualitative analysis, students appear to be more concerned and interested in the environment and environmental problem while participating in an environmental issue instruction based on the IEEIA model. In conclusion, the environmental issue instruction materials has a positive effect on environmental literacy. Therefore, this environmental issue instruction is meaningful as a new environmental education method, and it is necessary to more intensively and systematically research on the teaching-learning activities related to this study.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.587-596
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• 2012

This research works has newly proposed ideation method for development of innovative product design by using four design thinking framework in the aesthetic issue, material issue, function & structure issue which are usually called three major design issues. The four design thinking framework is consisted of eliminate, reduce, raise and create. This research also analyzed 232 innovation products in order to verify the proposed ideation method. The main outputs of this research are as follows; first, the ideation method which was newly developed in this research can help to create new ideas for innovation product design. Second, 41% existed innovation product designs were developed based on the ideation in the 'function & structure' issue. Three, 74% existed innovation product designs were developed based on the 'raise & create' issue rather than 'eliminate & reduce' issue. The results of this research can help a designer who wants create new innovation product.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.1 no.1
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• pp.33-51
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• 2007

There are two newly emerging research issues in the enterprise information systems literature. One is the scalability issue for rapidly increasing choreographic volumes between interrelated organizations. The other is the business intelligence issue for traceable and monitorable business processes and services interchanging e-Business data and applications across organizations. Based upon these emerging issues, through a functional extension of the ebXML technology we have developed a process-driven e- Business service integration (BSI) system, which is named ‘e-Lollapalooza’. It consists of three major components ? the Choreography Modeler coping with the processdriven collaboration issue, the Runtime & Monitoring Client for coping with the business intelligence issue and the EJB-based BSI Engine coping with the scalability issue. This paper particularly focuses on the e-Lollapalooza’s development aspects for supporting the ebXML-based choreography and orchestration among the engaged organizations in a process-driven multiparty collaboration for e-Logistics and e- Commerce services. Here, it is fully deployed in an EJB-based middleware computing environment for e-Logistics process automation and B2B choreography.

• Hwankyungkyoyuk
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• v.17 no.2
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• pp.50-59
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• 2004

The environment subject has been introduced to the national curriculum in 1992 in order to overcome serious environmental problems. As using environmental issues in a class, the environment teachers inevitably face some conflicts associated with their role. By applying the questionnaire survey to 192 environment teachers, this study was conducted to understand their attitude and awareness of teacher role in the issue-based classes. The results showed that the majority(92.2%) of the participants had willingness to share their opinion on the issues under consideration with their students. This result implied that environment teachers maintain a position considerably different from the position (value-free and fair) that has been favored and suggested by previous research. This discrepancy may has been related to the unique history and identity of the environment subject in Korea. Despite their high level of willingness, the environment teachers also seemed to experience several barriers to managing issue-based classes effective such as time management, low students interest, and limited teaching materials. To make environmental issue-based classes interesting and meaningful, additional efforts are need to develop issue-based teaching modules and provide both teachers and teacher students with opportunities for learning those modules and teaching strategies.

• Asia-Pacific Journal of Business
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• v.13 no.2
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• pp.107-122
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• 2022

Purpose - This study aims to develop machine learning models to predict administrative issue designation in KOSDAQ Market using financial data. Design/methodology/approach - Employing four classification techniques including logistic regression, support vector machine, random forest, and gradient boosting to a matched sample of five hundred and thirty-six firms over an eight-year period, the authors develop prediction models and explore the practicality of the models. Findings - The resulting four binary selection models reveal overall satisfactory classification performance in terms of various measures including AUC (area under the receiver operating characteristic curve), accuracy, F1-score, and top quartile lift, while the ensemble models (random forest and gradienct boosting) outperform the others in terms of most measures. Research implications or Originality - Although the assessment of administrative issue potential of firms is critical information to investors and financial institutions, detailed empirical investigation has lagged behind. The current research fills this gap in the literature by proposing parsimonious prediction models based on a few financial variables and validating the applicability of the models.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.143-146
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• 2015

Software Defined Network (SDN) separates control plane and data plane to achieve benefits such as centralized management, centralized provisioning, lower device cost and more flexibility. In SDN, scalability is an important issue. Centralized controller can be a bottle neck and many research tried to solve this issue on the control plan. However, scalability issue does not only happen in the control plane, but also happen in the data plane. In the data plane, flow table is an important component and its size is limited. In a large network operated by SDN technology, the performance of the network can be highly degraded because of the size limitation of a flow table. In this paper, we propose a ranking-based flow replacement method, Flow Table Management (FTM), to overcome this problem.