• 한국멀티미디어학회논문지
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• 제22권4호
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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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• 통권45호
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• pp.91-115
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• 2019

1997년 Issue Correlates of War(ICOW) 프로젝트 시작 이후 해양관할권 분쟁에 대한 정량적 연구가 미국을 중심으로 활발하게 진행되었다. 이러한 정량적 연구는 일부 해양관할권 분쟁 중심의 사례 연구에 비해 많은 해양관할권 분쟁을 연구 범위에 포함하고 있고, 통계적 오류를 최소화하기 위해 다양한 통계기법을 적용함으로써 광범위한 사례에 적용될 수 있는 일반화된 연구결과를 도출하고 있다. 이번 연구는 ICOW 데이터를 바탕으로 해양관할권 분쟁을 정량적으로 연구한 결과를 분석한 후 독도 문제에 적용될 수 있는 요소를 도출하고, 이를 바탕으로 독도 문제의 평화적 관리 및 해결에 어떤 전략이 효과적일지 설명하고자 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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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.

• 한국환경교육학회지:환경교육
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• 제23권4호
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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.

• 한국콘텐츠학회논문지
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• 제12권12호
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• pp.587-596
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• 2012

본 연구는 디자인 3대 요소인 '심미성', '재료', '기능성/구조성'의 요소에 '제거', '감소', '증가', '창조'라는 4가지 디자인 사고 틀 적용을 통하여, 새로운 제품디자인 컨셉 및 아이디어개발을 위한 사고방법을 제안하였다. 본 연구에서 제안 된 혁신제품 아이디어 창출 방법의 검증을 위해서 성공적인 혁신 제품 디자인 사례로 소개된 232개의 제품들을 분석하였다. 그 연구결과의 대표적 결론은 다음과 같다. 첫째, 본 연구에서 개발한 '대표적인 디자인 가치요소인인 '심미성', '재료', '기능성/구조성'의 요소를 기준으로 한 4가지 디자인사고 프레임?'은 혁신제품 디자인 개발을 위한 시스템적인 창의력 사고 방법에 도움을 줄 수 있을 것이다. 둘째, 혁신제품 디자인 사례 분석 결과 41%의 혁신제품디자인은 디자인 요소 중 '기능성/구조성'의 혁신을 통하여 이루어졌다. 셋째, 기존의 혁신제품디자인(74%)은 디자인요소에 대한 가치의 '제거와 감소' 보다는 디자인요소에 대한 가치의 '증가와 창조'를 통하여 이루었다. 본 연구에서 제안한 연구 결과는 디자이너들이 가장 힘들어 하는 아이디어 창출에 있어서, 또 다른 시스템적인 아이디어 창출 방법을 제안한 것이다.

• Journal of Information Technology Applications and Management
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• 제22권3호
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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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• 제1권1호
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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.

• 한국환경교육학회지:환경교육
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• 제17권2호
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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.

• 아태비즈니스연구
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• 제13권2호
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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.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 춘계학술발표대회
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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.