• 한국HCI학회:학술대회논문집
• /
• 2007.02a
• /
• pp.661-666
• /
• 2007

최근들어 제품을 개발하는 과정 중, 디자이너와 개발자, 의사 결정권자들이 FEM, CFD 시뮬레이션 결과를 리뷰할 때에 가상현실기술을 도입하는 사례가 늘고 있다. 몰입감을 높여주는 가상현실환경은 모델에 대한 해석 결과물을 정확하고 효과적으로 분석할 수 있도록 돕는다. 데이터의 실제 크기와 같게 혹은 그보다 더 크고 자세한 이미지를 제공하는 가상현실 몰입환경은 사용자가 데스크탑 환경만을 사용할 때 경험할 수 없는 높은 사실감을 제공함으로써 사용자에게 시각적인 만족감을 줄 수 있다. 하지만 데스크탑 환경에 비해 해상도가 낮고, 어두운 곳에서 스테레오 안경이나 HMD(Head Mounted Display), Data glove등을 착용해야 하는 불편함과 멀미, 시각적인 피로, 방향감각 상실로 대표되는 가상멀미 등으로 인해 장시간 사용에 어려움이 있다. 데스트탑 환경에서의 데이터 리뷰는 고해상도 이미지 분석은 가능하지만, 입체감이 떨어지기 때문에 리뷰 데이터의 실제감이 떨어진다. 이와 같은 문제점들을 보완하기 위해서 본 논문에서는 데스크탑 환경과 가상현실 환경 간의 협업이 가능한 FEM/CFD 가시화 시스템을 제시한다. 본 시스템은 가상현실 몰입환경에서 해석 데이터를 단순히 가시화하는 것뿐만이 아니라, 데스크탑 시스템과 동일한 3D 인터페이스 구조를 제공한다. 따라서, 해석 결과 분석을 위한 동일한 post-processing 작업이 네트워크로 연결된 원격 공간의 사용자들이 사용하는 시스템들 사이에서 실시간으로 진행될 수 있다.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.28 no.7
• /
• pp.961-969
• /
• 2004

Most manufacturing companies are trying to develop a competitive product by increasing the quality, shortening time to market and reducing the cost of a product. Collaborators related to the development of a new product want to confirm geometric forms and dimensions during the design process, as well as to verify dimensional errors of a product during the fabrication process. Objective of this paper is the development of a collaborative design and dimension verification system on the Internet. STEP files obtained from the design process are used for the design and dimension verification. Functions of the design and dimension verification modules are constructed over the ActiveX control using the visual C/sup ++/ and OpenGL. By using mark up functions over the Internet, collaborators check geometries, interferences, dimensional errors, human factors and form errors, as well as share their design ideas and opinions with XML rapidly and remotely. The usefulness of the developed system is confirmed through case studies.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.17 no.1
• /
• pp.183-190
• /
• 2017

Recently, BIM (Building Information Modeling) has been attracting attention as a next-generation architectural design tool. The strength of BIM technology is that it enables collaborative work and it is shared in real time. The Revit program, an architectural design program for BIM technology, enhances the information input side, making it possible to know the information of components at the design stage. However, in the use of the Revit program, it is impossible to share or reuse a family created by one designer with another designer. In order to overcome this inefficiency, we designed the design drawing as an Excel file and made it easy to create.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.1
• /
• pp.446-465
• /
• 2015

In this modern era of technology and information, e-learning approach has become an integral part of teaching and learning using modern technologies. There are different variations or classification of e-learning approaches. One of notable approaches is Personal Learning Environment (PLE). In a PLE system, the contents are presented to the user in a personalized manner (according to the user's needs and wants). The problem arises when a new user enters the system, and due to the lack of information about the new user's needs and wants, the system fails to recommend him/her the personalized e-learning contents accurately. This phenomenon is known as cold-start problem. In order to address this issue, existing researches propose different approaches for recommendation such as preference profile, user ratings and tagging recommendations. In this research paper, the implementation of a novel interaction-based approach is presented. The interaction-based approach improves the recommendation accuracy for the new-user cold-start problem by integrating preferences profile and tagging recommendation and utilizing the interaction among users and system. This research work takes leverage of the interaction of a new user with the PLE system and generates recommendation for the new user, both implicitly and explicitly, thus solving new-user cold-start problem. The result shows the improvement of 31.57% in Precision, 18.29% in Recall and 8.8% in F1-measure.

• Journal of the Korea Society of Computer and Information
• /
• v.8 no.3
• /
• pp.16-25
• /
• 2003

Modeller is defined as the office work procedures(business processes), and that is systemically based upon the real-time collaborative operations by a set of actors, which is called group. This paper describes the design of the ICN editor that is operable under the real-time collaborative computing environment. We use the database agent that enables the ICN editor to operate among multiple actors(group) through the event-driven collaboration platform. Consequently, a set of workflow and business processes defined through this editor is not only stored onto database but also transformed into the format of the workflow process definition language(WPDL) that is a standardized worflow description and specification language proposed by the workflow management coalition(WfMC). This method can improve the performance of workflow processing by minimizing the workflow execution cost occurred during workflow definition.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.4
• /
• pp.881-886
• /
• 2018

Over the last several decades, the advances in computer engineering technology have led a new paradigm of data-intensive research in the field of scientific applications. A collaborative work environment for storing, sharing and analyzing data is required for researchers of geographical distance. The Korean government supports the Research & Education network(KREONET) and the Global Science experimental Data hub Center(GSDC) to strengthen the nation's competitiveness. The KREONET has upgraded its backbone to 100Gbps to accommodate demand to transfer data fast among the global major experimental sites. This paper introduces the test result between high performance nodes reserved for big data transfer.

• Journal of the Korean Society for Library and Information Science
• /
• v.37 no.2
• /
• pp.169-186
• /
• 2003

Most of the university libraries in Korea provide digital reference service(DRS), but the use of DRS is very low. The low usage of DRS seems to result from the lack of subject librarians, of staff, of public relations, and of managers' enthusiastic attitude and understanding of DRS. It is difficult to solve these problems because of the poor circumstances in universities. The collaborative digital reference service(CDRS) is a solution to these problems. Not only CDRS costs little but also can provide reference services in many different subject areas. Though subject specialist librarian, user-friendly system interface, system programs and administrative supports are necessary to implement CDRS, the education and training of the subject specialist librarians is the most important work to be done in the university library situation in Korea.

• Journal of Information Technology Applications and Management
• /
• v.25 no.4
• /
• pp.185-196
• /
• 2018

This study investigates the social network among authors to improve the quality of Panel researches. Korea Health Panel (KHP), implemented by the collaborative work between KIHASA (Korea Institute for Health and Social Affairs) and NHIC (National Health Insurance Service) since 2008, provides a critical infrastructure for policy making and management for insurance system and healthcare service. Using bibliographic data extracted from academic databases, eighty articles were extracted in domestic and international journals from 2008 to 2014, April. Data were analyzed by NetMiner 4.0, social network analysis software, to identify the extent to which authors are involved in healthcare use research and the patterns of collaboration between them. Analysis reveals that most authors publish a very small number of articles and collaborate within tightly knit circles. Centrality measures confirm these findings by revealing that only a small percentage of the authors are structurally dominant, and influence the flow of communication among others. It leads to the discovery of dependencies between the elements of the co-author network such as affiliates in health panel communities. Based on these findings, we recommend that Korea Health Panel could benefit from cultivating a wider base of influential authors and promoting broader collaborations.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.31 no.4
• /
• pp.573-586
• /
• 2021

As the proportion of non-contact work is increasing in the situation of COVID-19 pandemic, the collaboration program market is growing rapidly. As the size of the market grows, vulnerabilities in collaborative programs are constantly being disclosed which increases interest in the security of collaborative tools. In this paper, we introduce the results of vulnerability analysis on Electron-based collaboration programs, noting that a number of collaboration programs are based on the Electron framework, and propose countermeasures to enhance the security of Electron-based applications.

• The Korean Journal of Applied Statistics
• /
• v.34 no.3
• /
• pp.329-345
• /
• 2021

Recommender systems use data from customers to suggest personalized products. The recommender systems can be categorized into three cases; collaborative filtering, contents-based filtering, and hybrid recommender system that combines the first two filtering methods. In this work, we introduce and compare deep learning-based recommender system using autoencoder. Autoencoder is an unsupervised deep learning that can effective solve the problem of sparsity in the data matrix. Five versions of autoencoder-based deep learning models are compared via three real data sets. The first three methods are collaborative filtering and the others are hybrid methods. The data sets are composed of customers' ratings having integer values from one to five. The three data sets are sparse data matrix with many zeroes due to non-responses.