• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.4
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• pp.141-152
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• 2013

The applications and concerned technologies of cloud computing services, one of major trends in the information communication technology, are widely progressing and advancing. OpenStack, one of open source cloud computing platforms, is comprised of several service components; using these, it can be possible to build public or private cloud computing service for a given target application. In this study, a remote sensing image analysis processing service on cloud computing environment has designed and implemented as an operational test application in the private cloud computing environment based on OpenStack. The implemented service is divided into instance server, web service, and mobile app. A instance server provides remote sensing image processing and database functions, and the web service works for storage and management of remote sensing image from user sides. The mobile app provides functions for remote sensing images visualization and some requests.

• Journal of the HCI Society of Korea
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• v.7 no.2
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• pp.17-24
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• 2012

In this study, we aim to understand how social computing features affect open source project's outcome based on the representative social coding platform, Github (http://github.com). Though there is growing interest regarding the application and effect of employing social computing features, yet empirical evidences related to the subject are still short. To bridge the gap, we conducted our research based on the following research questions: 1) How the system features of social coding platform are classified? 2) How are the use of system features and project performance related to each other? Qualitative and quantitative analysis are performed: The system features of Github are clustered according to their usage in qualitative analysis, and th relation between the feature uses and project outcome is identified by multiple linear regression test. In conclusion, we found that the use of results is also discussed.

• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.33-41
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• 2013

Intelligent automobile technology and IT convergence, the development of new imaging technology media applications based on open source Android installed on tracked, wheeled smart phone application technology and the development of intelligent vehicles as a new paradigm a lot of research and development being made. Android-based intelligent automotive applications, technology, and evolved into the center of a set of various multimedia technologies move beyond the limits of the means of each of multimedia platforms, services and applications that have been developed in such a distributed environment, has been developed according to a variety of services through technology mobile terminal device technology is an absolute requirement. In this paper, SVC Codec, real-time video and graphics processing and SoC design intelligent vehicles middleware applications with monolithic system specification through Android-based design of intelligent vehicles dedicated middleware research experiments on open platforms, and provides various terminal services functions SoC based on a newly designed and standardized interface analysis techniques in this study were verified through experiments.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1320-1329
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• 2022

Currently, advanced national research network groups are continuously conducting R&D for the requirement to provide SDN/NFV-based network automation and intelligence technology for R&E users. In addition, the requirement for providing large-scale data transmission with the high performance networking facility, compared to general network environments, is gradually increasing in the advanced national research networks. Accordingly, in this paper, we propose an open API-based virtual network provisioning automation platform for large data transmission researched and developed to respond to the networking requirements of the national research network and present the implementation results. The platform includes the KREONET-S VDN system that provides SDN-based network virtualization technology, and the Kubernetes system that provides container-oriented server virtualization technology, and the Globus Online, a high-performance data transmission system. In this paper, the environment configurations, the system implemetation results for the interworking between the heterogeneous systems, and the automated virtual network provisioning implementation results are presented.

• The Journal of Society for e-Business Studies
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• v.26 no.1
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• pp.43-65
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• 2021

With the advancement of information and communications technology, a means to recruit IT professional has fundamentally changed. Nowadays recruiters search for candidate information from the Web as well as traditional information sources such as résumés or interviews. Particularly, open-source software development (OSSD) platforms have become an opportunity for developers to demonstrate their IT capabilities, making it a way for recruiters to find the right candidates, whom they need. Therefore, this study aims to investigate the impact developers' profiles in an OSSD platform on their finding a job. This study examined four antecedents of developer information that can accelerate their job search: job-seeking status, personal-information posting, learning activities and knowledge contribution activities. For the empirical analysis, we developed a Web crawler and gathered a dataset on 4,005 developers from GitHub, which is a well-known OSSD platform. Proportional hazards regression was used for data analysis because shorter job-seeking period implies more successful result of job change. Our results indicate that developers, who explicitly posted their job-seeking status, had shorter job-seeking periods than those who did not. The other antecedents (i.e., personal-information posting, learning, and knowledge contribution activities) also contributed in reducing the job-seeking period. These findings imply values of OSSD platforms for recruiters to find proper candidates and for developers to successfully find a job.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.457-458
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• 2019

본 논문에서는 심장 박동 변이 (HRV: heart rate variability) 센서와 표준 기반 사물인터넷 (IoT: Internet of Things) 플랫폼을 활용한 스트레스 측정 시스템을 구현하고 그 활용 방법을 제안한다. HRV를 측정하기 위해 맥파 (PPG)센서와 오픈소스 하드웨어를 이용해 센싱 시스템을 구축하고 표준 사물인터넷 플랫폼을 이용하여 서버 시스템을 구축하였다. 추후 분석을 통해 유추한 스트레스 정도에 따라 플랫폼에 연결된 다양한 기기들을 이용하여 스트레스를 낮추기 위한 개인별 스트레스 관리 솔루션을 구현할 수 있음을 알 수 있다.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.1
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• pp.105-119
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• 2015

A case study to test the open API service functions of Geographic Information Open Platform(Vworld) for Environmental Impact Assessment was carried out for improving the function of Environmental Impact Assessment Geographic Information System(EIAGIS) which is one of Environmental Impact Assessment Supporting System(EIASS) used for current Environmental Impact Assessment. Followings are the summary of the study. First, utilization of EIAGIS was low since DB renewal was limited and the quality of 2D based topographic information was low. A new service which could respond to practitioners' needs could be developed to use a open API service of Vworld provided by the Ministry of Land, Infrastructure and Transport to make up those disadvantages. EIASS with Vworld could provide a consulting service from the beginning stage of business plan and make improvements of confidence as well as fast agreements since both consultation agencies and assessment agencies are using a same program during Environmental Impact Assessment process with customized information.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.313-334
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• 2022

This study examines the economic use value of Discover, an access service of research papers and a subsystem of the National Open Access Platform (AccessON). Based on previous literature on scholarly communications and in-depth interviews with 14 academic and industrial researchers, the service value of Discover was identified as the value of time savings. Administering a survey with 1,313 researchers, the following empirical data required for estimation were obtained: for an average Korean researcher, s/he publishes 2.84 papers per year and takes 30.13 minutes in searching and using one relevant research paper. Discover was found to save 5.64 minutes per paper, saving a total of 225 minutes and KRW 99,384 per researcher per year. Finally, a total economic value of Discover was estimated as KRW 82 billion for the entire 8-year business period. An additional value of KRW 11.3 billion was estimated with the legalization of mandatory deposit of OA research papers. The study demonstrates a sufficient economic value of the national OA platform project, and positive economic impact of the OA legalization, futher offering important domestic data for future research on economic value of scholarly communications.

• Information and Communications Magazine
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• v.31 no.7
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• pp.39-45
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• 2014

Tizen은 삼성과 인텔이 주도하여 개발하고 있는 오픈소스 형태의 소프트웨어 플랫폼이다. 기술적으로는 리눅스 커널 기반으로 웹을 지향하고 있으며 현재는 2.3 Alpha 버전으로 금년 말 3.0 버전을 향해 나아가고 있다. Tizen은 스마트 기기뿐만 아니라 다양한 산업 분야 적용을 목적으로 하는 소프트웨어 플랫폼으로써 향후 활용 분야가 매우 광범위하다. 본고에서는 Tizen이 어떻게 탄생하여 발전되어 왔고, 또 앞으로 어떻게 진화해 갈 것인지, 그리고 기술적 특징과 오프소스로서의 특징들을 중심으로 독자가 Tizen을 쉽게 이해할 수 있도록 하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.61-63
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• 2012

본 논문에서는 다중 플랫폼을 지원하는 증강현실 콘텐츠 저작 시스템을 소개한다. 소개하는 저작 시스템은 일반 PC 환경과 모바일 환경에서 구현되었으며 같은 오픈 소스 엔진을 사용하여 상호 호환이 가능하다. 또한 시스템에 콘텐츠 파일의 저장 및 전송을 담당할 서버를 함께 구성하여 사용자의 증강현실 콘텐츠 저작에 대한 파일 접근성을 높였다.