• Title/Summary/Keyword: knowledge-based approach

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A CAD/CAM System for Blanking or Piercing of Irregular Shaped-Sheet Metal Products (불규칙형상 박판제품의 블랭킹 및 피어싱용 CAD/CAM 시스템)

  • 최재찬;김철;박상봉
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.8
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    • pp.174-182
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    • 1998
  • This paper describes a research work of developing a computer-aided design and machining of irregular shaped-sheet metal product for blanking or piercing operation. An approach to the CAD/CAM system is based on the knowledge-based rules. Knowledge for the CAD/CAM system is formulated from plasticity theories, experimental results and the empirical knowledge of field experts. The system has been written in AutoLISP on the AutoCAD and in customer tool kit on the SmartCAM with a personal computer and is composed of nine modules, which are input and shape treatment, flat pattern-layout, production feasibility check, blank-layout, strip-layout, die-layout, data conversion, modelling, and post-processor module. Based on knowledge-based rules, the system is designed by considering several factors, such as material and thickness of product, complexities of blank geometry and punch profile, diameter and material of a wire, and availability of press. This system is capable of generating NC data automatically according to drawings of die-layout module. Results which are carried out in each module will provide efficiencies to the designer and the manufacturer of blanking or piercing die in this field.

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An Automated Process Planning System for Progressive Working of Electric Products (전기제품의 프로그레시브 가공을 위한 공정설계 자동화 시스템)

  • Kim, J. H.;Kim, C.;Choi, J. C.
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.8
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    • pp.198-206
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    • 2000
  • This paper describes a research work of developing automated progressive process planning system for working electric products. An approach to the CAD system in based on the knowledge-based rules. Knowledge for the CAD system is formulated from plasticity theories experimental results and the empirical knowledge of field experts. The system has been written in AutoLISP on the AutoCAD with a personal computer and is composed of three main modules which are input and shape treatment flat pattern layout and strip layout module. Based on knowledge-based rules the system is design by considering several factors such as radius and angle of bend material and thickness of product complexities of blank geometry and punch profile bending sequence and availability of press. Strip layout drawing automatically generated by piercing with punch profiles divided into for external area is simulated in 3-D graphic forms including bending sequences for the product with piercing and bending. Results obtained using the modules enable the manufacture of electronic products to be more efficient in this field.

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An automated CAD System of Product with Bending Constraints and Piercing for Progressive Working (구속을 갖는 굽힘 및 피어싱용 제품의 프로그레시브 가공을 위한 자동화된 CAD 시스템)

  • Choe, Jae-Chan;Kim, Chul
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.11
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    • pp.174-182
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    • 1999
  • This paper describes a research work of developing a computer-aided design of product with bending constraints and piercing for progressive working. an approach to the CAD system is based on the knowledge-based rules. Knowledge for the CAD system is formulated from plasticity theories, experimental results and the empirical knowledge of field experts. The system has been written AutoLISP on the AutoCAD with a personal computer and is composed of four main modules, which are input and shape treatment, flat pattern layout, production feasibility check, and strip-layout module. Based on knowledge-based rules, the system is designed by considering several factors, such as radius and angle of bend, material and thickness of product, complexities of blank geometry and punch profile, bending sequence, availability of press. Strip layout drawing generated by piercing with punch profiles divide into automatically for external area is shown into graphic forms, including bending sequences for the product with piercing and bending constraints. Results obtained using the modules enable the designer and manufacturer of piercing and bending dies to be more efficient in this field.

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The convergence approach of institution based view toward the path of performance of the start-up in the foreign market (스타트업 해외시장 진출성과 경로에서 제도기반관점의 융합적 접근)

  • Cho, Yeon-Sung
    • Journal of the Korea Convergence Society
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    • v.8 no.9
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    • pp.311-318
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    • 2017
  • This study aims to converge the analysis of institution based view and knowledge based perspectives. Based on the literature review, this study proposed six hypotheses including the moderating effect of institutional characteristics. Hypothesis testing was conducted using PLS(Partial Least Square), which is a structural equation model for 101 start-ups sample. In empirical analysis, all external knowledge characteristics have a positive effect on the knowledge codification capacity. It also positively influenced the performance. The institutional characteristics showed a moderating effects with the novelty of external knowledge and knowledge codification capacity. This study contributes to integrating and analyzing the moderating effects of institution based characteristics with the factor of knowledge based view. Future research needs to analyze the institutional characteristics in a formal and informal way.

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.

RFID-based Supply Chain Process Mining for Imported Beef

  • Kang, Yong-Shin;Lee, Kyounghun;Lee, Yong-Han;Chung, Ku-Young
    • Food Science of Animal Resources
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    • v.33 no.4
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    • pp.463-473
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    • 2013
  • Through the development of efficient data collecting technologies like RFID, and inter-enterprise collaboration platforms such as web services, companies which participate in supply chains can acquire visibility over the whole supply chain, and can make decisions to optimize the overall supply chain networks and processes, based on the extracted knowledge from historical data collected by the visibility system. Although not currently active, the MeatWatch system has been developed, and is used in part for this purpose, in the imported beef distribution network in Korea. However, the imported beef distribution network is too complicated to analyze its various aspects using ordinary process analysis approaches. In this paper, we suggest a novel approach, called RFID-based supply chain process mining, to automatically discover and analyze the overall supply chain processes from the distributed RFID event data, without any prior knowledge. The proposed approach was implemented and validated, by using a case study of the imported beef distribution network in Korea. Specifically we demonstrated that the proposed approach can be successfully applied to discover supply chain networks from the distributed event data, to simplify the supply chain networks, and to analyze anomaly of the distribution networks. Such novel process mining functionalities can reinforce the capability of traceability services like MeatWatch in the future.

Knowledge Management in LG-EDS Systems: A Tool for Innovation

  • Jiwon Han;Park, Dong-Hyun
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.393-399
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    • 2001
  • The Purpose of this paper is how KM is implemented and executed to reform the organization in the change management aspect and how its current KM can be developed in the future, mainly based on the organizational system, business process, and information system related to KM. This Paper is longitudinal case study of Knowledge Management at LG-EDS Systems. The effective approach to undertake KM is phase. First, it is structured to share explicit knowledge for better performance and then implicit knowledge for best performance. But, This method had some limitations. So, LG-EDS systems integrated KMS-Knowledge Portal-to facilitate cooperation and improve contents quality.

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From R&D to Commercialization : A System Dynamic Approach

  • Choi, Kang-Hwa;Kim, Soo-W.
    • International Journal of Quality Innovation
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    • v.9 no.3
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    • pp.123-144
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    • 2008
  • This paper describes a comprehensive approach to examine how technological innovation contributes to the renewal of a firm's competences through its dynamic and reciprocal relationship with R&D and product commercialization. Three theories of technology and innovation (the R&D and technological knowledge concept, product-process concept, technological interdependence concept) are used to relate technology and innovation to strategic management. Based on these theories, this paper attempts to identify the dynamic relationship between product innovation and process innovation using system dynamics by investigating that aspect of the dynamic changes in the closed feedback circulation structure in which R&D investments drive the accumulation of technological knowledge. Further, such knowledge accumulation actualizes product innovation and process innovation, subsequently resulting in an increase in productivity, customer satisfaction, profit generation, and.

A Study Fuzzy model for Risk Analysis of Uncertainly FTA(Fault Tree Analysis) (FTA(Fault Tree Analysis)에서 불확실한 위험분석을 위한 퍼지모형 연구)

  • 임총규;박주식;강경식
    • Journal of the Korea Safety Management & Science
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    • v.4 no.1
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    • pp.37-47
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    • 2002
  • Risk analysis is a formal deductive procedure for determining combinations of component failures and human errors that could result in the occurrence of specified undesired events at the system level. This method can be used to analyze the vast majority of industrial system reliability problems. This study deals with the application of knowledge-engineering and a methodology for the assessment & measurement of reliability, availability, maintainability, and safety of industrial systems using FTA(fault tree analysis), A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach (insufficient Information concerning the relative frequencies of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations, The purpose of this study is to describe the knowledge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

Robust Face Detection Based on Knowledge-Directed Specification of Bottom-Up Saliency

  • Lee, Yu-Bu;Lee, Suk-Han
    • ETRI Journal
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    • v.33 no.4
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    • pp.600-610
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    • 2011
  • This paper presents a novel approach to face detection by localizing faces as the goal-specific saliencies in a scene, using the framework of selective visual attention of a human with a particular goal in mind. The proposed approach aims at achieving human-like robustness as well as efficiency in face detection under large scene variations. The key is to establish how the specific knowledge relevant to the goal interacts with the bottom-up process of external visual stimuli for saliency detection. We propose a direct incorporation of the goal-related knowledge into the specification and/or modification of the internal process of a general bottom-up saliency detection framework. More specifically, prior knowledge of the human face, such as its size, skin color, and shape, is directly set to the window size and color signature for computing the center of difference, as well as to modify the importance weight, as a means of transforming into a goal-specific saliency detection. The experimental evaluation shows that the proposed method reaches a detection rate of 93.4% with a false positive rate of 7.1%, indicating the robustness against a wide variation of scale and rotation.