• Title/Summary/Keyword: Collaborative Computing

Search Result 234, Processing Time 0.024 seconds

Scheme of P2P and P2P-based Collaborative Machine (P2P 개요 및 P2P-based Collaborative Machine의 Scheme)

  • Kim D. H.;Song J. Y.
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
    • /
    • 2005.05a
    • /
    • pp.477-482
    • /
    • 2005
  • Recently, client computing trend has been changed from server oriented information application to network based P2P(Peer to Peer) services. The conventional client/server method has the merit of accessing abundant information, on the other side P2P has the merit of synchronized community support and information exchange. P2P has four meaning of point to point, peer to peer, person to person and path to profitability. In manufacturing system field, the second meaning is interested. P2P is classified to three type such as conventional client/server, hybrid P2P and pure P2P. The third is really peer to peer concept. The related technologies with P2P are P2P searching, XML, cooperation, IPv6, computing sharing and P2P communication. This paper describes the scheme of P2P and related contents. And through the P2P based technology, a P2P-based collaborative machine and a vertical portal machine are introduced in this paper. The scheme of the machines mentioned above is suggested for cooperation in manufacturing system and u-Manufacturing.

  • PDF

An Empirical Analysis of Worldwide Cyberinfrastructure

  • Cho, Manhyung
    • Asian Journal of Innovation and Policy
    • /
    • v.4 no.3
    • /
    • pp.381-396
    • /
    • 2015
  • Cyberinfrastructure is a research infrastructure that provides an environment in which research communities can get access to distributed resources and collaborate at unprecedented levels of computation, storage, and network capacity. The Worldwide LHC Computing Grid (WLCG) is a global collaborative project of computing or data centers that enables access to scientific data generated by the Large Hadron Collider (LHC) experiments at CERN. This case study analyzes the WLCG as a model of cyberinfrastructure in research collaboration. WLCG provides a useful case of how cyberinfrastructure can work in providing an infrastructure for collaborative researches under data-intensive paradigm. Cyberinfrastructure plays the critical role of facilitating collaboration of diverse and widely separated communities of researchers. Data-intensive science requires new strategies for research support and significant development of cyberinfrastructure. The sustainability of WLCG depends on the resources of partner organizations and virtual organizations at international levels, essential for research collaboration.

A Framework for Supporting Virtual Engineering Services Using Ubiquitous and Context-Aware Computing (가상공학 서비스를 위한 유비쿼터스 및 상황인식 컴퓨팅 프레임워크)

  • Seo D.W.;Kim H.;Kim K.S.;Lee J.Y.
    • Korean Journal of Computational Design and Engineering
    • /
    • v.10 no.6
    • /
    • pp.402-411
    • /
    • 2005
  • Context-aware engineering services in ubiquitous environments are emerging as a viable alternative to traditional engineering services. Most of the previous approaches are computer-centered rather than human-centered. In this paper, we present a Ubiquitous and Context-Aware computing Framework for collaborative virtual Engineering $(U-CAF\acute{E})$ services. The proposed approach utilizes BPEL-based (Business Process Execution Language) process templates for engineering service orchestration and choreography and adopts semantic web-based context-awareness for providing human-centered engineering services. The paper discusses how to utilize engineering contexts and share this knowledge in support of collaborative virtual engineering services and service interfaces. The paper also discusses how Web services and JINI (Java Intelligent Network Infrastructure) services are utilized to support engineering service federations and seamless Interactions among persons, devices, and various kinds of engineering services.

Multimodal Interaction Framework for Collaborative Augmented Reality in Education

  • Asiri, Dalia Mohammed Eissa;Allehaibi, Khalid Hamed;Basori, Ahmad Hoirul
    • International Journal of Computer Science & Network Security
    • /
    • v.22 no.7
    • /
    • pp.268-282
    • /
    • 2022
  • One of the most important technologies today is augmented reality technology, it allows users to experience the real world using virtual objects that are combined with the real world. This technology is interesting and has become applied in many sectors such as the shopping and medicine, also it has been included in the sector of education. In the field of education, AR technology has become widely used due to its effectiveness. It has many benefits, such as arousing students' interest in learning imaginative concepts that are difficult to understand. On the other hand, studies have proven that collaborative between students increases learning opportunities by exchanging information, and this is known as Collaborative Learning. The use of multimodal creates a distinctive and interesting experience, especially for students, as it increases the interaction of users with the technologies. The research aims at developing collaborative framework for developing achievement of 6th graders through designing a framework that integrated a collaborative framework with a multimodal input "hand-gesture and touch", considering the development of an effective, fun and easy to use framework with a multimodal interaction in AR technology that was applied to reformulate the genetics and traits lesson from the science textbook for the 6th grade, the first semester, the second lesson, in an interactive manner by creating a video based on the science teachers' consultations and a puzzle game in which the game images were inserted. As well, the framework adopted the cooperative between students to solve the questions. The finding showed a significant difference between post-test and pre-test of the experimental group on the mean scores of the science course at the level of remembering, understanding, and applying. Which indicates the success of the framework, in addition to the fact that 43 students preferred to use the framework over traditional education.

A Hybrid Collaborative Filtering Method using Context-aware Information Retrieval (상황인식 정보 검색 기법을 이용한 하이브리드 협업 필터링 기법)

  • Kim, Sung Rim;Kwon, Joon Hee
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.6 no.1
    • /
    • pp.143-149
    • /
    • 2010
  • In ubiquitous environment, information retrieval using collaborative filtering is a popular technique for reducing information overload. Collaborative filtering systems can produce personal recommendations by computing the similarity between your preference and the one of other people. We integrate the collaboration filtering method and context-aware information retrieval method. The proposed method enables to find some relevant information to specific user's contexts. It aims to makes more effective information retrieval to the users. The proposed method is conceptually comprised of two main tasks. The first task is to tag context tags by automatic tagging technique. The second task is to recommend items for each user's contexts integrating collaborative filtering and information retrieval. We describe a new integration method algorithm and then present a u-commerce application prototype.

Improved Broadcast Algorithm in Distributed Heterogeneous Systems (이질적인 분산 시스템에서의 개선된 브로드캐스트 알고리즘)

  • 박재현;김성천
    • Journal of the Institute of Electronics Engineers of Korea CI
    • /
    • v.41 no.3
    • /
    • pp.11-16
    • /
    • 2004
  • Recently, collaborative works are increased more and more over the distributed heterogeneous computing environments. The availability of high-speed wide-area networks has also enabled collaborative multimedia applications such as video conferencing, distributed interactive simulation and collaborative visualization. Distributed high performance computing and collaborative multimedia applications, it is extremely important to efficiently perform group communication over a heterogeneous network. Typical group communication patterns are broadcast and Multicast. Heuristic algorithms such as FEF, ECEF, look-ahead make up the message transmission tree for the broadcast and multicast over the distributed heterogeneous systems. But, there are some shortcomings because these select the optimal solution at each step, it may not be reached to the global optimum In this paper, we propose a new heuristic algerian that constructs tree for efficiently collective communication over the previous heterogeneous communication model which has heterogenity in both node and network. The previous heuristic algorithms my result in a locally optimal solution, so we present more reasonable and available criterion for choosing edge. Through the performance evaluation over the various communication cost, improved heuristic algorithm we proposed have less completion time than previous algorithms have, especially less time complexity than look-ahead approach.

Collaborative Filtering Method Using Context of P2P Mobile Agents (P2P 모바일 에이전트의 컨텍스트 정보를 이용한 협력적 필터링 기법)

  • Lee Se-Il;Lee Sang-Yong
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.15 no.5
    • /
    • pp.643-648
    • /
    • 2005
  • In order to supply services necessary for users intelligently in the ubiquitous computing, effective filtering of context information is necessary. But studies of context information filtering have not been made much yet. In order for filtering of context information, we can use collaborative filtering being used much at electric commerce, etc. In order to use such collaborative filtering method in the filtering of ubiquitous computing environment, we must solve such problems as first rater problem, sparsity problem, stored data problem and etc. In this study, in order to solve such problems, the researcher proposes the collaborative filtering method using types of context information. And as the result of applying this filtering method to MAUCA, the P2P mobile agent system, the researcher could confirm the average result of 7.7% in the aspect of service supporting function.