• Title/Summary/Keyword: knowledge engineering

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Intelligent Design System for Gate and Runner in Injection Molding (사출성형을 위한 게이트.런너 지적설계시스템에 관한 연구)

  • Lee, Chan-Woo;Huh, Yong-Jeong
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.9
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    • pp.192-203
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    • 2001
  • The design of gate and runner(delivery system) is one of the most important subject in injection molding. Delivery system is a channel to flow the polymer melt from the injection molding machine to the mold cavities. Also, delivery system affect quality and productivity of the part. The synthesis of delivery system of injection molding has been done empirically, since it requires profound knowledge about the moldability and causal effects on the properties of the part, which are not available to designers through the current CAD systems. GATEWAY is a knowledge module which contains knowledge to permit non-experts as well as mold design experts to generate the acceptable geometries of gate and runner far injection molded parts. A knowledge-based CAD system is constructed by adding the knowledge module, GATEWAY, to an existing geometric modeler. A knowledge-based CAD system is a new tool which enables the concurrent design and CIM with integrated and balanced design decisions at the initial design of injection molding.

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Analysis of Knowledge Combination Process: From Engineering Science Perspective (지식종합화과정의 분석: 엔지니어링 사이언스 관점)

  • Namn, Su-Hyeon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.9
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    • pp.2415-2423
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    • 2009
  • We consider organizational knowledge combination process. Previous literature investigated the issue from either managerial or social aspects, emphasizing on a part of the whole process and limiting to qualitative analyses. Here we propose an integrative and quantitative approach which considers knowledge combination process from engineering perspective. We employ a queueing network model and techniques to capture the process of interactions of entities in the knowledge combination environment. By doing so, we are able to understand the performance of the knowledge combination process. The performance measures derived can provide valuable implications for managerial decisions such as planning and controlling the knowledge combination process.

Visualization Based Building Anatomy Model for Construction Safety Education

  • Pham, Hai Chien;Le, Quang Tuan;Pedro, Akeem;Park, Chan Sik
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.430-434
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    • 2015
  • Safety education at the tertiary level prepares students to enter construction industry with adequate safety knowledge; then accidents can be prevented proactively. However, safety subject has not been paid adequate attention in universities and most institutional safety programs consider safety matters in isolation. Meanwhile, anatomical theory in the medicine field has been successfully adopted and proved potential advantageous in various scientific disciplines. With this regard, this study proposes a visualization based Building Anatomy Model (BAM) for construction safety education, which utilizes the anatomical theory in order to improve student's safety knowledge and practical skill. This BAM consists of two modules: 1) Knowledge Acquisition Module (KAM) aims to deliver safety knowledge to students through building anatomy models; 2) Practical Experience Module (PEM) where students safely perform construction activities by using the system to improve safety skill. The system trial is validated with virtual scenarios derived from real accidents cases. This study emphasizes the visualization based building anatomy model would be a powerful pedagogical method to provide effectively safety knowledge and practical skill for students, as a result, safety competence of students would be enhanced.

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A stdudy of Knowledge management system needs and efficient hospital computerized operating

  • Yun, Young Gi;Chung, Young Suk;Park, Koo Rack
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.10
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    • pp.135-142
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    • 2016
  • In this paper, we propose a plan for the introduction of a knowledge-based system proposed by the traditional computing sciences, in order to operate the computer system computerized hospital workers effectively. Hospital computational features of the operating system for this purpose, were made about the working conditions, computational difficulties of the hospital administrator. It is necessary for a knowledge management system for results-effective IT system operational review findings apply to the hospital, where a hospital computer system having features and hospitals computational workers must be resolved on the technical and environmental constraints with It became aware of the need. This study further shows that an effective hospital computer system to derive additional operating a variety of issues to consider for the base and the introduction of a knowledge management system can gradually solve the problem.

Development of supporting Modules for parameter and knowledge management using CATIA KW (CATIA KW의 변수 및 지체 관리를 위한 지원 모듈 개발)

  • Ju S.S.;Bae I.J.;Lee S.H.;Jeon C.M.;Chang J.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.635-636
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    • 2006
  • A knowledge-based system with CAD is widely used to implement a designer's know-how and a routine calculation within a system. An engineer needs to change several design parameters in an early design stage. However it is not easy to change the design parameters when it needs to update an existing model and data. In this paper, a module has been proposed to make it easy to change the design parameter so that the engineer can easily update and change the design model. Also a flexible interface of the module can easily add or extract the design knowledge.

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Grammatical Structure Oriented Automated Approach for Surface Knowledge Extraction from Open Domain Unstructured Text

  • Tissera, Muditha;Weerasinghe, Ruvan
    • Journal of information and communication convergence engineering
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    • v.20 no.2
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    • pp.113-124
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    • 2022
  • News in the form of web data generates increasingly large amounts of information as unstructured text. The capability of understanding the meaning of news is limited to humans; thus, it causes information overload. This hinders the effective use of embedded knowledge in such texts. Therefore, Automatic Knowledge Extraction (AKE) has now become an integral part of Semantic web and Natural Language Processing (NLP). Although recent literature shows that AKE has progressed, the results are still behind the expectations. This study proposes a method to auto-extract surface knowledge from English news into a machine-interpretable semantic format (triple). The proposed technique was designed using the grammatical structure of the sentence, and 11 original rules were discovered. The initial experiment extracted triples from the Sri Lankan news corpus, of which 83.5% were meaningful. The experiment was extended to the British Broadcasting Corporation (BBC) news dataset to prove its generic nature. This demonstrated a higher meaningful triple extraction rate of 92.6%. These results were validated using the inter-rater agreement method, which guaranteed the high reliability.

Enhancing Open-Ended Knowledge Tracing with Prefix-Tuning (Prefix-Tuning 기반 Open-Ended Knowledge Tracing 모델 연구)

  • Suhyune Son;Myunghoon Kang;Aram So;Heuiseok Lim
    • Annual Conference on Human and Language Technology
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    • 2023.10a
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    • pp.672-676
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    • 2023
  • 지식 추적 (knowledge tacing)은 주어진 학습자의 과거 문제 해결 기록을 기반으로 학습자의 지식 습득 정도를 파악하여 목표 문제에 대한 정답 여부를 예측하는 것을 목표로 한다. 이전 연구에서는 이진 분류 기반의 모델을 사용하여 정답 유무만 예측하였기 때문에 학습자의 답변에 존재하는 정보를 활용하지 못한다. 최근 연구에서는 이를 생성 태스크로 변환하여 컴퓨터과학 분야에서 프로그래밍 질문에 대한 지식 추정을 수행하는 open-ended knowledge tracing (OKT)이 제안되었다. 하지만 최적의 OKT 모델에 대한 연구는 진행되지 않았으며 따라서 본 논문에서는 시간에 따라 변화하는 학습자의 지식 상태에 따라 답변 생성을 조정하는 새로운 OKT 방법론을 제안한다. 실험을 본 논문에서 제안하는 방법론의 우수성과 효율성을 증명한다.

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A Study on the Development of Robust Fault Diagnostic System Based on Neuro-Fuzzy Scheme

  • Kim, Sung-Ho;Lee, S-Sang-Yoon
    • Transactions on Control, Automation and Systems Engineering
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    • v.1 no.1
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    • pp.54-61
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    • 1999
  • FCM(Fuzzy Cognitive Map) is proposed for representing causal reasoning. Its structure allows systematic causal reasoning through a forward inference. By using the FCM, authors have proposed FCM-based fault diagnostic algorithm. However, it can offer multiple interpretations for a single fault. In process engineering, as experience accumulated, some form of quantitative process knowledge is available. If this information can be integrated into the FCM-based fault diagnosis, the diagnostic resolution can be further improved. The purpose of this paper is to propose an enhanced FCM-based fault diagnostic scheme. Firstly, the membership function of fuzzy set theory is used to integrate quantitative knowledge into the FCM-based diagnostic scheme. Secondly, modified TAM recall procedure is proposed. Considering that the integration of quantitative knowledge into FCM-based diagnosis requires a great deal of engineering efforts, thirdly, an automated procedure for fusing the quantitative knowledge into FCM-based diagnosis is proposed by utilizing self-learning feature of neural network. Finally, the proposed diagnostic scheme has been tested by simulation on the two-tank system.

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XTM based Knowledge Exchanges for Product Configuration Modeling (XML Topic Map을 이용한 Product Configuration 지식 교환에 관한 연구)

  • Cho J.;Kwak H.W.;Kim H.;Kim H.S.;Lee J.H.;Cho J.M.;Hong C.S.;Do N.
    • Korean Journal of Computational Design and Engineering
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    • v.11 no.1
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    • pp.57-66
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    • 2006
  • Modeling product configurations needs large amounts of knowledge about technical and marketing restrictions on the product. Previous attempts to automate product configurations concentrate on representations and management of the knowledge for specific domains in fixed and isolated computing environments. Since the knowledge about product configurations is subject to continuous change and hard to express, these attempts often failed to efficiently manage and exchange the knowledge in collaborative product development. In this paper, XML Topic Map (XTM) is introduced to represent and exchange the knowledge about product configurations in collaborative product development. A product configuration model based on XTM along with its merger and inference facilities enables configuration engineers In collaborative product development to manage and exchange their knowledge efficiently. An implementation of the proposed product configuration model is presented to demonstrate that the proposed approach enables enterprises to exchange the knowledge about product configurations during their collaborative product development.

A Study Of Knowledge Evaluation On The Construction Industry (건설산업 지식평가 방안 연구)

  • Jung Bo-Gun;Lee Tai-Sik
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • autumn
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    • pp.515-518
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    • 2002
  • KM(Knowledge Management) is factor more paradigm of period than survival factor. Stewart, Sveiby etc., a scholar was Present to definition, knowledge classification and measurement method. KMS(Knowledge Management System) was made by scholar theory. But, it is hardly adapt to construction industry. Because it is have property that construction industry have one product, recieve-industry etc. Therefore, we must knowledge classification and measurement method that property of construction industry. So, we can effectively manage to knowledge of construction industry. And, knowledge of construction industry will evaluate according to property. Measure method of construction company will find through benchmarking that measure method of construction company is analyze to case.

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