• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.345-346
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• 2006

In the future, a machine will be more improved in the form of advanced concept with collaborative ability in M2M(Machine to Machine, Mobile to Machine) environment for u-Manufacturing system. This paper tried to standardize M2M and design advanced concept machine. The M2M is front-end system for implementing autonomous ubiquitous environment. The advanced machine in M2M will be a collaborative machine with knowledge-evolutionary ability such as u-Machine(Ubiquitous machine), Vortal(Vertical Portal) machine and P2P(Peer to Peer) machine. Such advanced concept machines will be the key subject for M2M cooperation.

• 한국전산유체공학회:학술대회논문집
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• 2005.04a
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• pp.35-40
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• 2005

Up to recently, with the improvement of a computer power and high speed of network technology, advanced countries have researched a construction of the e-Science environment. As a major application part, a construction for environment of CFD, also, have studied together. During the research, people realize that not sharing hardware but also appropriate software development is really important to realize the environment. This paper describes about a construction of a collaborative research environment in the KISTI: Clients can connect to the computing resources through the web portal, run the Cactus simulation.: According to the computing resources, the simulation can migrate to some site to find better computing power.: Result of the calculation visualize at the web portal directly so that researchers of remote site can be share and analyze the result collaborative ways.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.223-230
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• 2020

Companies have made an investment of cost and time to optimize processing of a new business model in a cloud environment, applying collaboration technology utilizing business processes in a social network. The collaborative processing method changed from traditional BPM to the cloud and a mobile cloud environment. We proposed a collaborative system for operating processes in social networks using MOXMDR-DAI+ (eXtended Metadata Registry-Data Access & Integration based multimedia ontology). The system operating cloud-based collaborative processes in application of MOXMDR-DAI+, which was suitable for data interoperation. MOXMDR-DAI+ applied to this system was an agent effectively supporting access and integration between multimedia content metadata schema and instance, which were necessary for data interoperation, of individual local system in the cloud environment, operating collaborative processes in the social network. In operating the social network-based collaborative processes, there occurred heterogeneousness such as schema structure and semantic collision due to queries in the processes and unit conversion between instances. It aimed to solve the occurrence of heterogeneousness in the process of metadata mapping using MOXMDR-DAI+ in the system. The system proposed in this study can visualize business processes. And it makes it easier to operate the collaboration process through mobile support. Real-time status monitoring of the operation process is possible through the dashboard, and it is possible to perform a collaborative process through expert search using a community in a social network environment.

• ETRI Journal
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• v.22 no.3
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• pp.27-40
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• 2000

Recently, advanced information technologies have opened new possibilities for collaborative designs. In this paper, a web-enabled collaborative design environment is proposed, where the product data based on STandard for the Exchange of Product model data (STEP) is managed in a hierarchical database and the product metadata is used to efficiently search and utilize information scattered over the network. Several integrity constraints are depicted using EXPRESS to validate the combination of data from different sources. The knowledge represented as metadata and constraints on the interacting features differentiate this environment from previous ones. The collaborative conferencing system is also introduced to communicate and collaborate simultaneously among the related designed. As a result, the proposed environment allows the distributed designers to more efficiently obtain, exchange and communicate the design information throughout the design process.

• Proceedings of the KSME Conference
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• 2001.06c
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• pp.351-356
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• 2001

Recently, advanced information technologies including Internet-related technology and distributed object technology have opened new possibilities for collaborative designs. In this paper, we discuss computer supports for collaborative design in a distributed environment. The proposed system is the Internet-centric system composed of an engineering framework, collaborative virtual workspace and engineering service. It allows the distributed designers to more efficiently and collaboratively work their engineering tasks throughout the design process.

• ETRI Journal
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• v.28 no.4
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• pp.461-474
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• 2006

This project aims to design and develop a prototype for an agent that support online collaborative learning. Online collaborative learning, which has emerged as a new form of education in the knowledge-based society, is regarded as an effective method for improving practical and highly advanced problem-solving abilities. Collaborative learning involves complicated processes, such as organizing teams, setting common goals, performing tasks, and evaluating the outcome of team activities. Thus, a teacher may have difficulty promoting and evaluating the entire process of collaborative learning, and a system may need to be developed to support it. Therefore, to promote interaction among learners in the process of collaborative learning, this study designed an extensible collaborative learning agent (ECOLA) for an online learning environment.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.10A
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• pp.984-991
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• 2007

Cognitive Radio is an advanced enabling techlology for efficient utilization of under-utilized spectrum since it is able to sense the temporally available spectrum and adapt its parameters to fully utilize the frequency band. Recent investigation suggests that spectrum sensing is compromised when a cognitive radio user suffers from the environment with fading or shadowing. In order to combat the effect, collaborative sensing is considered to be a promising way, which combines the sensing result of each user to achieve good performance. However, the conventional collaborative sensing is not efficient when users suffer different fading environments. In this paper, we propose a weighted-collaborative scheme that considers using the weights of each collaborative CR user, which can achieve better sensing performance under both fast and slow fading environments. The analysis of the simulation resultsproves that the weighted-collaborative scheme improves sensing performance obviously and outperforms the conventional method.

• Nuclear Engineering and Technology
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• v.55 no.1
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• pp.339-352
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• 2023

Prediction of the time-related traits of pebble flow inside pebble-bed HTGRs is of great significance for reactor operation and design. In this work, an image-driven approach with the aid of a convolutional neural network (CNN) is proposed to predict the remaining time of initially loaded pebbles and the time interval of paired flow images of the pebble bed. Two types of strategies are put forward: one is adding FC layers to the classic classification CNN models and using regression training, and the other is CNN-based deep expectation (DEX) by regarding the time prediction as a deep classification task followed by softmax expected value refinements. The current dataset is obtained from the discrete element method (DEM) simulations. Results show that the CNN-aided models generally make satisfactory predictions on the remaining time with the determination coefficient larger than 0.99. Among these models, the VGG19+DEX performs the best and its CumScore (proportion of test set with prediction error within 0.5s) can reach 0.939. Besides, the remaining time of additional test sets and new cases can also be well predicted, indicating good generalization ability of the model. In the task of predicting the time interval of image pairs, the VGG19+DEX model has also generated satisfactory results. Particularly, the trained model, with promising generalization ability, has demonstrated great potential in accurately and instantaneously predicting the traits of interest, without the need for additional computational intensive DEM simulations. Nevertheless, the issues of data diversity and model optimization need to be improved to achieve the full potential of the CNN-aided prediction tool.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.443-448
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• 2006

본 논문에서는 고화질 협업 환경에서 다수의 고화질 영상들을 처리하기 위한 타일드 디스플레이(tiled display)기반의 확장성있는 디스플레이 구조를 제안한다. 제안하는 구조는 대형 고화질 디스플레이를 제어하기 위한 기술과 다수의 고화질 영상을 제한된 시스템 자원을 이용하여 효율적으로 디스플레이 하기위한 기술을 다룬다. 제안된 시스템은 영상의 획득/디코딩/디스플레이와 같은 가시화를 담당하는 Scalable Visualization Consumer 로 명명된 확장형 가시화 응용을 포함한다. 제안된 기법들을 토대로 구현된 확장형 가시화 시스템의 성능을 평가하고자 한다.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.463-470
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• 2005

In a rapidly changing business environment, the improvement of managerial techniques through IT utilization brings about remarkable increases in profitability and redesign of work process for better performances. IT innovation by electronic instruments such as ICT e-business provides accelerates forming inter-organizational information network and helps them benchmark the best practices of advanced organizations. A new shift of paradigm by e-business across all enterprises has turned the traditional aspects of inter-organizational competition and relationship into a form of collaboration. Collaboration enables business activities in parallel position among companies and facilitates cooperation between partner enterprises. Lately, the concept of 'Synchronization' is emerging beyond dimension of cooperation between networks, and the most concepts related to it are converging into 'Collaboration Networks'. This research observes a virtual organization as a form of collaborative networks, and measures the degree of virtualization of Korean collaborative organizations.