• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.631-637
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• 2014

Recently, SNS is widely used for various purposes such as fast decision making or effective business process in educational institutions or enterprise as well as general services for social networking. Unfortunately, all of existing general SNS platforms do not provide user groups with workspaces for sharing information in a hierarchical way, nor support the functionality of workspace backup for migrations. In this paper, we present a collaborative workspace environment named ElggSpace which extends the Elgg SNS platform with the C3ware collaborative middleware. With the help of C3ware, ElggSpace systematically supports collaborative workspaces that enable user groups to share massive resource in cloud storages. In addition, ElggSpace allows high-level access controls for resources management and the functionality of resource backup, supporting effective collaboration.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.96-100
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• 2008

본 논문에서는 워크스페이스 기반 소프트웨어 형상관리 (Software Configuration Management, SCM) 시스템의 설계와 그 구현 방법에 대하여 논한다. 워크스페이스는 팀 단위의 협업 개발을 지원하기 위한 통합 환경으로, 형상항목(configuration item)에 대한 버전관리와 병렬 개발 프로세스를 제공한다. 본 연구는 이러한 워크스페이스 기반의 협업 개발 환경과 함께 프로젝트 관리 변경 프로세스 관리 기능을 결합한 통합 소프트웨어 형상관리 시스템 구축을 목표로 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2657-2664
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• 2012

Web-based learning receives much attention as an effective learning method because users can use the learning service at any time from any space. A learning management system(LMS) provides online educational environment among teachers and students, supporting various facilities to deliver educational contents. Since most of the existing LMSs support one-way or limited two-way teaching services among teachers and students, there are a lot of difficulties in performing collaboration among students and/or collaboration among teachers and students. In this paper, we describe the development of collaborative workspaces which provides effective collaborative educational environment on Moodle which is widely accepted as a typical LMS. Through the provided various types of collaborative workspaces, users can easily perform group activities, sharing educational with appropriate access control mechanism.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.8
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• pp.845-854
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• 2019

In IoT environment, an intelligent agent is an autonomous entity with computing power that interacts with various things for specific purposes without human intervention. Recently, as the development of Internet technology has increased the size of resources and services that intelligent agents can utilize, an environment where intelligent agents can collaborate with each other is needed. To effectively support these changes, a method is needed to provide workspaces where intelligent agents can form various groups and collaborate on them. In this paper, we present TSpace which is an Ethereum-based group workspace for effective collaboration among intelligent agents. In TSpace, intelligent agents in IoT environment can use group service based on the Ethereum blockchain through the developed CoAP/RESTful web service. TSpace also introduces a new mechanism for managing Ethereum wallets of agents accessing group services and for creating Ethereum transactions using them.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.566-569
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• 2008

본 논문은 워크스페이스(workspace) 기반의 협업개발 시스템과 소프트웨어 형상관리(Software Configuration Management, SCM) 시스템의 통합에 관하여 논한다. 협업개발 시스템은 개발 구성원들 간의 유기적인 의사소통 및 산출물에 대한 버전관리 기능 등을 제공한다. 여기에 프로젝트 및 액티비티를 중심으로 소프트웨어 개발 프로세스 전반에 걸친 문서의 체계적인 관리에 중점을 둔 형상관리 시스템을 결합하여 조직 내 협업 개발과 체계적인 형상관리를 수행할 수 있도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.2-4
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• 2020

최근 데이터 분석을 위한 연구 환경은 고성능 컴퓨팅자원, 대용량 스토리지, 초고속 네트워크 시스템등 IT 기술이 융합된 사이버 인프라 연구 환경을 기반으로 하고 있다. 또한, 실험의 규모가 커지면서 다수의 연구자들이 협업을 통해 공동의 연구결과를 도출하는 집단연구가 증가하고 있다. 본 논문에서는 이러한 환경에서 연구자들이 대용량 실험데이터를 공유·분석할 수 있는 효율적인 스토리지 작업 공간 모델을 제안한다.