• Title/Summary/Keyword: Collaborative engineering system

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An Implementation of the B2B e-Marketplace Product Recommendation System using Genetic Algorithm (유전자 알고리즘을 이용한 B2B e-Marketplace 상품제안시스템 구현)

  • Park, Hyunki;Ahn, Jaekyoung
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.2
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    • pp.135-142
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    • 2013
  • In B2B e-Marketplace for free gifts and goods, product-mix recommendation is provided frequently by analysing customer logs and/or performing collaborative and rules-based filtering. This study proposes a new process that encompasses the genetic algorithm and key working processes of B2B e-marketplace based on the previous cooperate client order data. Efficiency and accuracy of the proposed system have been confirmed by cross-confirmation of accumulated data in the e-marketplace. The system can provide better opportunities for manufactures and suppliers to select optimized product-mix without time consuming trials and errors in their B2B e-marketplace networks.

Interface between Geometric Kernel and Database for a Ship CAD which has a STEP Database as the Native Storage (STEP 데이터베이스를 Native Storage로 가지는 3차원 선체 CAD에서 형상 모델링 커널과 데이터베이스간의 인터페이스)

  • 김준환;한순흥
    • Korean Journal of Computational Design and Engineering
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    • v.7 no.3
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    • pp.202-209
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    • 2002
  • It is difficult to support collaborative design with a conventional ship CAD system which manages design information using files. In this research, file storage has been replaced with a database. This paper describes the OpenDIS which is an interface between the geometric kernel and the database. Its main purpose is to implement the CAD system which has the STEP database as the native storage. A prototype CAD system has been implemented using that OpenDIS interface which is implemented by OpenCascade geometric kernel and the Objectstore object-oriented database. The STEP methodology is used as the database schema. This CAD system has been applied to the hull design of a ship in order to verify the usefulness of the interface.

A Research for Appling Singular Value Decomposition to Collaborative Filtering for Coping With the Sparsity of Rating matrix (협력적 여과에서 평가 행렬의 희소성 문제를 해결하기 위한 Singular Value Decomposition의 적용 방법에 관한 연구)

  • Jeong, Jun;Jeong, Dae-jin;Kim, Yong-Han;Rhee, Phill-Kyu
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.04a
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    • pp.317-322
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    • 2000
  • 인터넷의 발달로 사용자들은 인터넷에서 필요한 정보를 습득할 수 있을 뿐만 아니라, 생활에 필요한 여러 가지 활동들을 할 수 있게 되었다. 특히 주목받는 부분은 구매 활동이다. 따라서 수많은 기업들이 사람들의 구매 활동에 관련된 전자상거래에 투자하고 있고, 현재 Amazon.com 등과 같은 세계적인 사이트들이 서비스를 실시하고 있다. 또한, 전자상거래 사이트들은 사용자들의 구매 활동을 도와주기 위해 추천 시스템의 도입을 추진하고 있다. 추천 시스템은 사용자들로부터 얻어진 정보를 학습하여 이용 가능한 상품 중에서 고객이 좋아할 만한 것은 추천해 주는 시스템이다. 본 논문에서는 추천 시스템에서 사용되는 주요한 방법인 협력적 여과방법에서 초기 rating 행렬의 희소성 문제를 해결하기 위하여 Singular Value decompositon의 적용 방법을 제안하고 있다.

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Engineering Information Search based on Ontology Mapping (온톨로지 매핑 기반 엔지니어링 정보 검색)

  • Jung Min;Suh Hyo-Won
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.617-618
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    • 2006
  • The participants in collaborative environment want to get the right documents which are intended to find. In general search system, it searches documents which contain only the keywords. For searching different word-expressions for the same meaning, we perform mapping before searching. Our mapping logic consists of three steps. First, the character matching is the mapping of two terminologies that have identical character strings. Second, the definition comparing is the method that compares two terminologies' definitions. Third, the similarity checking pairs terminologies which were not mapped by two prior steps. In this paper, we propose Engineering Information Search System based on ontology mapping.

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Web Based Collaborative Design Framework Via Workflow (Workflow를 이용한 웹 기반 협업설계 프레임워크)

  • Yang, Young-Soon;Kang, Hyung-Wook;Park, Chang-Kue
    • Journal of the Society of Naval Architects of Korea
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    • v.44 no.3 s.153
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    • pp.332-339
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    • 2007
  • Integration of engineering information through the IT (Information Technology) is very important key during the collaboration design process. How can we realize the data efficiently in real-time at the early design stage? How can we manage to integrate the separate information made by each designer or department effectively in real time? IT global trend is the unique way of handling these complicated problems from the information inundation. This paper suggests the design process management system deduced from the analytical results considering BPM (Business Process Management) solution workflow. Workflow based design process management system can help user share and integrate the needed information at the right time through Internet. It is found that the proposed tool works well for a beam design case, and this framework can be thus further expanded for an engineering design environment smoothly.

Finite Element Analysis with STEP in Distributive and Collaborative Environment (분산 협업 환경에서의 유한요소 해석에 관한 연구)

  • Cho, Seong-Wook;Kwon, Ki-Eak
    • Korean Journal of Computational Design and Engineering
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    • v.11 no.5
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    • pp.384-392
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    • 2006
  • In this research, the feasibility of distributed finite element analysis system with STEP and CORBA has been investigated. The enabling technologies such as CORBA and Java play key roles in the development of integrated and geographically distributed application software. In addition to the distribution of analysis modules, numerical solution process itself is again divided into parallel processes using multi-frontal method for computational efficiency. In contrast to the specially designed parallel process for specific hardware, CORBA-based parallel process is well suited for heterogeneous platforms over the network. The idea of Web-based distributed analysis system may be applied to the engineering ASP for design and analysis in the product development processes. We believe that the proposed approach for the analysis can be extended to the entire product development process for sharing and utilizing common product data in the distributed engineering environment, thus eventually provide basis for virtual enterprise.

American Drama Recommendation System using Collaborative Filtering and K-NN in R System (R 시스템에서 협업 필터링과 K-NN 을 이용한 미국 드라마 추천 시스템)

  • Joo, Wan-Su;Lee, Han-hyung;Ilkhomjon, Ilkhomjon;Park, Doo-Soon
    • Annual Conference of KIPS
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    • 2019.10a
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    • pp.44-47
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    • 2019
  • 스마트 폰과 태블릿 PC를 이용하여 실시간 영상 재생 서비스(OTT: Over The Top)를 이용하는 사람들이 폭발적으로 증가하고 있다. 그에 따라 실시간 영상 재생 서비스를 즐길 수 있는 수많은 콘텐츠들이 증가하고 있다. 이에 따라 사용자는 자신의 취향에 맞는 드라마가 어떤 드라마인지 찾기가 어렵다. 따라서 본 논문에서는 사용자 스타일에 가장 적합한 미국 드라마 추천 시스템을 제안하기 위하여 선호 장르 2개, 연령대, 성별, 미국인 여부를 이용하여 유클리드 방법으로 유사도를 계산하고 협업 필터링 방법을 적용하여 드라마를 추천하는 시스템을 R을 이용하여 구현하였다.

Object Picking and Concurrency for Solid Modeler in Collaborative Design System (협동설계시스템의 솔리드 모델러를 위한 오브젝트의 Picking과 Concurrency)

  • 윤보열;김응곤
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.5 no.4
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    • pp.723-729
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    • 2001
  • We are able to work on the shared virtual space in Web-based Collaborative Design System using only Internet and Web browser. The users connect to the Solid Modeler Server through m and they create 3D shape and manipulate them variously. Then the users will share 3D objects and two problems can arise. The users must be able to pick the objects effectively which they want to manipulate. When one of the users manipulates a particular object, others should not disturb with the same object. In this paper, picking is implemented not only by computing intersection of mouse pointer with the objects of the virtual world, but also by using capabilities and attributes of scene graph node, by setting bounds intersection testing instead of geometric intersection testing, by limiting the scope of the pick testing, using Java 3D. These methods can reduce the computation of picking and can pick 3D objects effectively and easily using the system of hierarchy. To have effective concurrency, we used shared lock and exclusive lock as the action in work space.

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A Study on Automatic Discovery and Summarization Method of Battlefield Situation Related Documents using Natural Language Processing and Collaborative Filtering (자연어 처리 및 협업 필터링 기반의 전장상황 관련 문서 자동탐색 및 요약 기법연구)

  • Kunyoung Kim;Jeongbin Lee;Mye Sohn
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.127-135
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    • 2023
  • With the development of information and communication technology, the amount of information produced and shared in the battlefield and stored and managed in the system dramatically increased. This means that the amount of information which cansupport situational awareness and decision making of the commanders has increased, but on the other hand, it is also a factor that hinders rapid decision making by increasing the information overload on the commanders. To overcome this limitation, this study proposes a method to automatically search, select, and summarize documents that can help the commanders to understand the battlefield situation reports that he or she received. First, named entities are discovered from the battlefield situation report using a named entity recognition method. Second, the documents related to each named entity are discovered. Third, a language model and collaborative filtering are used to select the documents. At this time, the language model is used to calculate the similarity between the received report and the discovered documents, and collaborative filtering is used to reflect the commander's document reading history. Finally, sentences containing each named entity are selected from the documents and sorted. The experiment was carried out using academic papers since their characteristics are similar to military documents, and the validity of the proposed method was verified.

Web-based Product Recommendation System with Probability Similarity Measure (확률 유사성척도를 활용한 웹 기반의 상품추천시스템)

  • Choi, Sang-Hyun;Ahn, Byeong-Seok
    • Journal of Intelligence and Information Systems
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    • v.13 no.1
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    • pp.91-105
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    • 2007
  • This research suggests a recommendation system that enables bidirectional communications between the user and system using a utility range-based product recommendation algorithm in order to provide more dynamic and personalized recommendations. The main idea of the proposed algorithm is to find the utility ranges of products based on user specified preference information and calculate the similarity by using overlapping probability of two range values. Based on the probability, we determine what products are similar to each other among the products in the product list of collaborative companies. We have also developed a Web-based application system to recommend similar products to the customer. Using the system, we carry out the experiments for the performance evaluation of the procedure. The experimental study shows that the utility range-based approach is a viable solution to the similar product recommendation problems from the viewpoint of both accuracy and satisfaction rate.

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