• Title/Summary/Keyword: Collaborative engineering system

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Collaborative System based on Social using XMDR-DAI for Business Process in Mobile Cloud (모바일 클라우드 환경에서 비즈니스 프로세스를 위한 XMDR-DAI를 이용한 소셜 기반의 협업 시스템)

  • Lee, Jong-Sub;Moon, Seok-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.10
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    • pp.2331-2340
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    • 2015
  • In this paper, we propose a social-based collaboration systems for business process management in the mobile cloud. This XMDR-DAI is to provide services for data sharing and exchange between local systems that operate independently in a cloud environment, take charge of a social-based collaborative business process management. Social-based collaborative business processes are handled in a collision among a structure such as unit conversion, meaning conflict, and the schema mapping data resulting from the inner query. The conflict was resolved by mapping process which takes in each XMDR-DAI.

A Study for agent-based Integration Framework in mobile environment (모바일 환경에서 에이전트를 이용한 설계자원의 통합)

  • 옥형석;이수홍
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.193-196
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    • 1997
  • A mobile computing environment has many difference in character from conventional communication over wired network. These include very presents distributed design system based the mobile agent for mobile computing environment. To integrate design resource, we presented ISA(Integration Service Agent, which allows a designer to build integrated application using distributed resources, and to collaborative by exchanging service. Also we propose ICM(XML based Intelligent Connection Manger) using mobile agent. And suggested new intelligent data and process transfer architecture using ICM to implement an agent based design system in mobile environment.

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A Multi-Agent framework for Distributed Collaborative Filtering (분산 환경에서의 협력적 여과를 위한 멀티 에이전트 프레임워크)

  • Ji, Ae-Ttie;Yeon, Cheol;Lee, Seung-Hun;Jo, Geun-Sik;Kim, Heung-Nam
    • Journal of Intelligence and Information Systems
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    • v.13 no.3
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    • pp.119-140
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    • 2007
  • Recommender systems enable a user to decide which information is interesting and valuable in our world of information overload. As the recent studies of distributed computing environment have been progressing actively, recommender systems, most of which were centralized, have changed toward a peer-to-peer approach. Collaborative Filtering (CF), one of the most successful technologies in recommender systems, presents several limitations, namely sparsity, scalability, cold start, and the shilling problem, in spite of its popularity. The move from centralized systems to distributed approaches can partially improve the issues; distrust of recommendation and abuses of personal information. However, distributed systems can be vulnerable to attackers, who may inject biased profiles to force systems to adapt their objectives. In this paper, we consider both effective CF in P2P environment in order to improve overall performance of system and efficient solution of the problems related to abuses of personal data and attacks of malicious users. To deal with these issues, we propose a multi-agent framework for a distributed CF focusing on the trust relationships between individuals, i.e. web of trust. We employ an agent-based approach to improve the efficiency of distributed computing and propagate trust information among users with effect. The experimental evaluation shows that the proposed method brings significant improvement in terms of the distributed computing of similarity model building and the robustness of system against malicious attacks. Finally, we are planning to study trust propagation mechanisms by taking trust decay problem into consideration.

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Design and Implementation of a Framework for Collaboration Systems in the Shipbuilding and Marine Industry (조선해양 설계분야에서 협업시스템을 위한 프레임워크의 설계 및 구현)

  • Yun, Moon-Kyeong;Kim, Hyun-Ju;Park, Min-Gil;Han, Myeong-Ki;Kim, Wan-Kyoo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.270-273
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    • 2015
  • In shipbuilding and marine industry, engineering and design software solutions have upgraded from the original 2D schematic data based CAD system to a modern 3D drawing-based system. Due to the fact that the massive amount of data usage in real time and data volumes of various engineering models including graphic data have increased, several problems such as lack of server resources and improper handling of 3D drawings have been raised. Besides, increasing the number of session connections per server can cause deterioration of server performance. Recently, increasing the yard's sophisticated design capabilities highlighted the need to develop engineering and design system which would not only overcome the network performance issues, but would provide efficient collaborative design environment. This paper presents an overview of the framework for collaborative engineering design system based on the virtual application (Citrix XenApp 6.5)and acceleration hardware technology of 3D graphics (NVIDIA GRID K2 solution).

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Recommendation Mechanism with Combining Content-based Filtering and Collaborative Filtering on User Preference (유저 선호도 기반 내용기반 필터링 및 협력 필터링을 결합한 추천 기법)

  • Park, Byeong-Seok;Brohi, Aijaz Ali;Han, Seok-Hyeon;Kim, Hyun-Woo;Song, Eun-Ha;Yi, Gangman;Jeong, Young-Sik
    • Annual Conference of KIPS
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    • 2016.10a
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    • pp.693-694
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    • 2016
  • 최근 스마트폰과 같이 개인화 서비스가 가능한 스마트 디바이스들이 급격히 보급되며 추천가 시스템에 대한 관심이 증가하고 있다. 그러나 활용 방안이 광범위함에도 불구하고 마케팅 등의 특정 분야에 한정되어 있거나 기술이 저수준에 머물러 있어 국내의 추천가 시스템은 아직 도입단계에 불과하다. 추천가 시스템은 어떠한 정보를 사용하는지에 따라 크게 내용 기반 필터링과 협업 필터링 두 가지로 분류한다. 본 연구에서는 메뉴 추천 분야에서 유저의 메뉴 선택이 주변 상황에 큰 영향을 받는다는 것에 착안해, 인근 유저와의 메뉴 선택 정보를 반영하는 협업 필터링과 사용자 개인의 취향에 최적화된 메뉴를 제공하는 내용 기반 필터링을 결합하는 방식으로 두 가지 필터링 기법을 결합한 메뉴 추천 시스템인 UBCRS(User-Based Collaborative Recommend System)를 제안한다.

A Study on the Web Based Collaborative Learning Systems (웹기반 협동학습시스템의 활용에 관한 연구)

  • Lee, Dong-Hoon;Lee, Sang-Kon;Lee, Ji-Yeon
    • The Journal of Korean Institute for Practical Engineering Education
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    • v.2 no.1
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    • pp.64-70
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    • 2010
  • The purpose of this study is to understand students' use intentions of Web Based Collaborative Learning (WBCL) system. To meet this purpose, we developed a research model based on the Decomposed TPB. This model contains 5 influencing factors: Explicit social influence(EXSI) and Implicit social influence(IMSI), Perceived Usefulness (PU), Perceived easy of use(PEOU), Perceived Playfulness(PP). Data was collected 254 university students from two different institutions. Also, the analysis is conducted to do the hypothesis testing by using PLS 3.0. The result shows that influence factors except PEOU have a important and significant impact on user Behavior Intention(BI). Using WBCL system and learning tool, team leader(that is referent) and members can be a good interaction. For these same reasons, We found that especialy Explicit social influence(EXSI) and Implicit social influence(IMSI) are special influence factors in reference group.

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TV Program Recommender System Using Viewing Time Patterns (시청시간패턴을 활용한 TV 프로그램 추천 시스템)

  • Bang, Hanbyul;Lee, HyeWoo;Lee, Jee-Hyong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.5
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    • pp.431-436
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    • 2015
  • As a number of TV programs broadcast today, researches about TV program recommender system have been studied and many researchers have been studying recommender system to produce recommendation with high accuracy. Recommender system recommends TV program to user by using metadata like genre, plot or calculating users' preferences about TV programs. In this paper, we propose a new TV program Collaborative Filtering Recommender System that exploits viewing time pattern like viewing ratio, relation with finish time and recently viewing history to calculate preference for high-quality of recommendation. To verify usefulness of our research, we also compare our method which utilizes viewing time patterns and baseline which simply recommends TV program of user's most frequently watched channel. Through this experiments, we show that our method very effectively works and recommendation performance increases.

SUPPLY CHAIN MANAGEMENT SYSTEM FOR CURTAIN WALLS USING RFID TECHNOLOGY

  • Sangyoon Chin;Suwon Yoon;Yea-Sang Kim;Cheolho Choi;Do-Bum Lee
    • International conference on construction engineering and project management
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    • 2005.10a
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    • pp.1022-1027
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    • 2005
  • This research presents a collaborative supply chain management system for curtain walls using Radio Frequency IDentification (RFID) to track the product and information flow among participants in high-rise building construction projects. This resarch developed a process model and a strategy for effective utilization of RFID technology through the curtain wall life-cycle. Then an information management system was developed to support the supply chain management of curtain walls with incorporating RFID into curtain wall products flow throughout the life-cycle. The system has been tested for validation and verification in a real world project.

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Forecast Model Research for u-Gov's Social Welfare Applied IT Convergence Technology (u-Gov의 IT Convergence 기술을 응용한 사회복지 분야 예측모델 연구)

  • Jeong, Young-Chul;Park, Jong-An
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.1
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    • pp.1-8
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    • 2010
  • It is required to polish the components of administrative services constructively and technologically in order to achieve adminstration the u-Gov pursues. Therefore, the government needs to provide management on united information by combining collaborative construction and Convergence technology. This is called to be UT based positioning system. The system ought to be spread out and is contributed to enlarge interaction. For these reasons, in this paper, I embodied the fundamental st겨cture of new the service application through drawing UT based requirements for an establishment of its prototype.