• 제목/요약/키워드: Collaborative engineering

검색결과 975건 처리시간 0.026초

상호운용성 제공을 위한 PLCS 기반 SBA 통합협업환경 아키텍처 및 운용 방안 (PLCS-based Architecture and Operation Method for Interoperability in SBA Integrated Collaborative Environment)

  • 김황호;최진영;왕지남
    • 산업경영시스템학회지
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    • 제33권3호
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    • pp.87-92
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    • 2010
  • In this paper, we suggest a PLCS-based architecture and operation method for providing interoperability in SBA integrated collaborative environment. Specifically, the suggested architecture is based on the distributed collaborative environment which employes the PLCS application protocol and integrated repository for representing and sharing product data information between collaborators remotely located. As an example of data representation, a military vehicle system is considered and two kinds of information, including state and activity/process, are explained. We expect that the suggested architecture can be used as a reference model to develop an efficient SBA integrated collaborative environment.

A Model-based Collaborative Filtering Through Regularized Discriminant Analysis Using Market Basket Data

  • Lee, Jong-Seok;Jun, Chi-Hyuck;Lee, Jae-Wook;Kim, Soo-Young
    • Management Science and Financial Engineering
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    • 제12권2호
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    • pp.71-85
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    • 2006
  • Collaborative filtering, among other recommender systems, has been known as the most successful recommendation technique. However, it requires the user-item rating data, which may not be easily available. As an alternative, some collaborative filtering algorithms have been developed recently by utilizing the market basket data in the form of the binary user-item matrix. Viewing the recommendation scheme as a two-class classification problem, we proposed a new collaborative filtering scheme using a regularized discriminant analysis applied to the binary user-item data. The proposed discriminant model was built in terms of the major principal components and was used for predicting the probability of purchasing a particular item by an active user. The proposed scheme was illustrated with two modified real data sets and its performance was compared with the existing user-based approach in terms of the recommendation precision.

A CASE STUDY OF CONSTRUCTION ENGINEERING FOR CABLE SUPPORTED BRIDGE BY COLLABORATIVE SYSTEM

  • Jung-Min Nam;Sung-Ho Kim;Jae-Hong Kim
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.586-590
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    • 2011
  • This paper presents the case study of the CE by collaborative system and proposes a model of the CM group for the cable supported bridge. The cable supported bridges have a large project scale and need a high level of construction method. Therefore an advanced construction management system is required for successful completion of project. The construction management (CM) group which control design management, construction plan, subcontract, technical support and R&D is organized for the cable supported bridge project. The CM group established a collaborative system with construction site and drew an effective management of cost, process, quality, safety for each project. Furthermore, the CM group established the procedure of construction management based on the construction engineering (CE) items and performed the project management on the construction phase. Efficiency of cost reduction and site control is maximized by using a collaborative system.

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Privacy-Preserving Two-Party Collaborative Filtering on Overlapped Ratings

  • Memis, Burak;Yakut, Ibrahim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권8호
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    • pp.2948-2966
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    • 2014
  • To promote recommendation services through prediction quality, some privacy-preserving collaborative filtering solutions are proposed to make e-commerce parties collaborate on partitioned data. It is almost probable that two parties hold ratings for the same users and items simultaneously; however, existing two-party privacy-preserving collaborative filtering solutions do not cover such overlaps. Since rating values and rated items are confidential, overlapping ratings make privacy-preservation more challenging. This study examines how to estimate predictions privately based on partitioned data with overlapped entries between two e-commerce companies. We consider both user-based and item-based collaborative filtering approaches and propose novel privacy-preserving collaborative filtering schemes in this sense. We also evaluate our schemes using real movie dataset, and the empirical outcomes show that the parties can promote collaborative services using our schemes.

RFM을 활용한 추천시스템 효율화 연구 (A Study on Improving Efficiency of Recommendation System Using RFM)

  • 정소라;진서훈
    • 대한설비관리학회지
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    • 제23권4호
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    • pp.57-64
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    • 2018
  • User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

협업 설계에서의 다중해상도 모델링 응용 (Application of Multi-Resolution Modeling in Collaborative Design)

  • 김태성;한정현
    • 한국컴퓨터그래픽스학회논문지
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    • 제9권2호
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    • pp.1-9
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    • 2003
  • Information assurance(IA) refers to methodologies to protect engineering information by ensuring its availability, confidentiality, integrity, non-repudiation, authentication, access control, etc. In collaborative design, IA techniques are needed to protect intellectual property, establish security privileges and create "need to know" protections on critical features. Aside from 3D watermarking, research on how to provide IA to distributed collaborative engineering teams is largely non-existent. This paper provides a framework for information assurance within collaborative design, based on a technique we call role-based viewing. Such role-based viewing is achieved through integration of multi-resolution geometry and security models. 3D models are geometrically partitioned, and the partitioning is used to create multi-resolution mesh hierarchies. Extracting an appropriately simplified model suitable for access rights for individual designers within a collaborative design environment is driven by an elaborate access control mechanism.

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PECOLE+: 다중그룹을 효과적으로 지원하기 위한 PECOLE 협업 시스템의 확장 (PECOLE+: An Extension of PECOLE Collaborative System for Supporting Effective Multiple Groups)

  • 김보현;박종문;이명준;박양수
    • 한국컴퓨터정보학회논문지
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    • 제16권1호
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    • pp.101-115
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    • 2011
  • PECOLE은 다중채팅, 화상회의, 화면 공유 등의 다양한 협업 어플리케이션으로 구성된 협업공간을 지원하는 Peer-to-Peer 기반의 멀티미디어 분산 협업 환경이다. 하지만 PECOLE에서 제공하는 단순한 그룹 관리 기능을 통하여서는 다중 그룹에 참여하여 협업을 수행하는 것이 불가능하다. 본 논문에서는 PECOLE을 확장한 PECOLE+의 설계와 구현에 대하여 설명한다. PECOLE+는 그룹 관리 서비스와 작업장 관리 서비스를 제공하여 PECOLE의 문제점을 해결한다. 그룹 관리 서비스는 그룹 생성, 다중 그룹 참여, 그룹 검색 등의 기능을 제공하며, 작업장 관리 서비스는 그룹별로 작업 공간을 제공하여, 그룹 단위로 주어진 작업 공간에서 어플리케이션을 이용한 협업의 수행을 지원 한다. 또한 제공된 플러그인 인터페이스에 부합하게 개발된 모든 협업 어플리케이션은 PECOLE+의 협업 어플리케이션으로서 작업 공간에서 실행되도록 지원한다.

LDA2Vec 항목 모델을 기반으로 한 협업 필터링 권장 알고리즘 (Collaborative Filtering Recommendation Algorithm Based on LDA2Vec Topic Model)

  • 장흠
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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    • pp.385-386
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    • 2020
  • In this paper, we propose a collaborative filtering recommendation algorithm based on the LDA2Vec topic model. By extracting and analyzing the article's content, calculate their semantic similarity then combine the traditional collaborative filtering algorithm to recommend. This approach may promote the system's recommend accuracy.

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협업 프로세스의 독립적 변경 보장 규칙 개발 (Integrity Checking Rules for Independent Changes of Collaboration Processes)

  • 김애경;정재윤
    • 산업공학
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    • 제25권1호
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    • pp.79-86
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    • 2012
  • Traditional business process management systems provide verification tools of process models to deploy and automate the models. However, there are not so many studies on how to maintain systematically collaborative process models such as supply chain processes when companies are willing to change and update the collaborative process models. In this paper, we analyze change patterns of collaborative processes and declare 19 change patterns. In addition, we apply the change patterns to the process interoperability patterns in order to identify the change problems in case of independent process changes of collaborative processes. As a result, we devise an independency checking algorithm of process changes in collaborative processes.

중소 제조기업을 위한 협업환경지원 BOM 관리 시스템 설계 (Design of Collaborative BOM Management System for Small and Medium Enterprises)

  • 김보현;정소영;백재용;이성진;이석우;최헌종
    • 한국CDE학회논문집
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    • 제14권4호
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    • pp.254-260
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    • 2009
  • Most commercial PDM (product data management) systems, which have been released recently by overseas famous software vendors, are still expensive and heavy to apply to small and medium enterprises (SMEs). Proposed in this paper are an architecture and functions of collaborative BOM (bill-of-material) management system (cBOM-MS) which supports the internal BOM management by BOM Navigator, provides SMEs with constructing the collaborative BOM via Collaborative BOM Portal, and proposes an interface to extract BOM automatically from commercial CAD systems. In the design of cBOM-MS, BOM Navigator and cBOM Portal are positioned separately to reinforce the information security about product data during product development process.