• Title/Summary/Keyword: Product Network

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A Study on the Flexible Disk Deburring Process Arc Zone Parameter Prediction Using Neural Network (신경망을 이용한 유연디스크 디버링가공 아크형상구간 인자예측에 관한 연구)

  • Yoo, Song-Min
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.18 no.6
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    • pp.681-689
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    • 2009
  • Disk grinding was often applied to deburring process in order to enhance the final product quality. Inherent chamfering capability of the flexible disk grinding process in the early stage was analyzed with respect to various process parameters including workpiece length, wheel speed, depth of cut and feed. Initial chamfered edge defined as arc zone was characterized with local radius of curvature. Averaged radius and arc zone ratio was well evaluated using neural network system. Additional neural network analysis adding workpiece length showed enhance performance in predicting arc zone ratio and curvature radius with reduced error rate. A process condition design parameter was estimated using remaining input and output parameters with the prediction error rate lower than 2.0% depending on the relevant input parameter combination and neural network structure composition.

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Vocabulary Definition for Describing Business Process Events of International Logistics on EPCIS (EPCIS 국제물류 비즈니스 프로세스 이벤트 기술을 위한 어휘 정의)

  • Lee, Sun-Young;Bae, Woo-Sik;Lee, Jong-Yun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.2
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    • pp.334-344
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    • 2009
  • The EPCglobal Network is a system which provides the information of items to suppliers, consumers, and customers by granting identification numbers on the goods based on the technologies of EPC(Electronic Product Code) and RFID(Radio Frequency Identification), and connecting the space to store those information by network. The EPCglobal architecture framework is also a service consolidating supply and process chain by using EPC for the common goal of business corporations. In the national level, it is necessary to define standard vocabularies for each location and logistics business process for RFID environment using the pre-constructed logistics information infrastructure. Therefore, we define the standard vocabularies and partially user vocabularies for international logistics on EPCglobal network architecture. Finally, we believe that our vocabularies contribute to describing the events fur the EPCglobal network architecture and actually providing usable platform via the XML implementation.

EPCglobal Network-Based Internet Escrow Service for Secure e-Commerce (EPCglobal 네트워크 기반 인터넷 에스크로 서비스)

  • Kim, Dong-Min;Huh, Jung-Hyun;Lee, Yong-Han;Rhee, Jong-Tae
    • The Journal of Society for e-Business Studies
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    • v.11 no.4
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    • pp.87-106
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    • 2006
  • Today as the scale of e-commerce constantly expands, the number and the amount of the consumer frauds are also increasing very rapidly, without sufficient levels of systematic support to prevent them. Internet Escrow service is one of the promising payment mechanisms, which guarantees secure electronic trades and payments. Especially, if the real-time product delivery information is available via RFID-based track-and-trace environment, the security and efficiency of the Internet Escrow services would be improved a lot. In this research, proposed a novel approach to integrate EPCglobal Network, which is a de-facto standard for RFID-based information network model, with Internet Escrow services. The proposed service model was implemented in the form of "Integrated Financial Platform", which supports the contracts among trading partners and the payment via Escrow services by being fully integrated with bank systems. Using the implemented EPCglobal Network-based Escrow service system, we would be able not only to shorten the money-flow cycle and to develop new kinds of loan services, but also to overcome the problems of existing Escrow services including the lack of product-related information and the delay of purchasing decisions.

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The Analysis of Knowledge Structure using Co-word Method in Quality Management Field (동시단어분석을 이용한 품질경영분야 지식구조 분석)

  • Park, Man-Hee
    • Journal of Korean Society for Quality Management
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    • v.44 no.2
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    • pp.389-408
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    • 2016
  • Purpose: This study was designed to analyze the behavioral change of knowledge structures and the trends of research topics in the quality management field. Methods: The network structure and knowledge structure of the words were visualized in map form using co-word analysis, cluster analysis and strategic diagram. Results: Summarizing the research results obtained in this study are as follows. First, the word network derived from co-occurrence matrix had 106 nodes and 5,314 links and its density was analyzed to 0.95. Average betweenness centrality of word network was 2.37. In addition, average closeness centrality and average eigenvector centrality of word network were 0.01. Second, by applying optimal criteria of cluster decision and K-means algorithm to word co-occurrence matrix, 106 words were grouped into seven clusters such as standard & efficiency, product design, reliability, control chart, quality model, 6 sigma, and service quality. Conclusion: According to the results of strategic diagram analysis over time, the traditional research topics of quality management field related to reliability, 6 sigma, control chart topics in the third quadrant were revealed to be declined for their study importance. Research topics related to product design and customer satisfaction were found to be an important research topic over analysis periods. Research topic related to management innovation was emerging state and the scope of research topics related to process model was extended to research topics with system performance. Research topic related to service quality located in the first quadrant was analyzed as the key research topic.

Modular Backpropagation Network to Diagnosing Plasma Processing Equipment

  • Kim, Byungwhan
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.32.5-32
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    • 2002
  • Processing plasmas are playing a crucial role in either depositing thin films or etching fine patterns. Any variability in process factors (such as radio frequency power or pressure) can cause a significant shift in plasma state. When this shift becomes large enough to change operating condition beyond an acceptable level, overall product quality can greatly be jeopardized. Thus, timely and accurate diagnosis of plasma malfunction is crucial to maintaining device yield and throughput. Many diagnostic systems have been developed, including HIPOCRATES [1] and PIES [2]. Plasma equipment was also diagnosed by combining neural network and expert system called Dempster-Schafer Theory [3]. A fact c...

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A Study on the Performance Analysis of Service Control Point (서비스제어시스템의 성능분석에 관한 연구)

  • 조한벽;권순준;임덕빈;김재련
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.13 no.22
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    • pp.87-98
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    • 1990
  • The performance analysis and capacity planning of Service Control Point which is real time response system is studied. The system is modeled by multiclass open queueing network. The analytical method is used to solve the queueing network. The solution of the model has product form solution. The focus of this paper is to investigate the capacity of system under the restriction of response time. To get the reasonable capacities, nonlinear programming problem is formulated and is solved by GINO. And the simulation model using SLAM II is formulated.

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Study on the Evaluation Criteria of Network Security Product (네트워크 보안제품 평가기준(안) 연구)

  • 서정택;박종운;이규호;장준교;이상하;김동규
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10c
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    • pp.363-365
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    • 1999
  • 오늘날 전세계를 하나로 잇는 정보화사회는 보다 신뢰성 있는 네트워크 보안제품을 요구하며 이들 제품을 객관적으로 평가하기 위한 평가기준을 필요로 한다. 따라서 본 논문에서는 국내 네트워크 보안제품 관련 평가기준(안) 제정을 위해 국제공통평가기준인 CC(Common Criteria)와 미국의 네트워크 보안제품 관련 평가기준인 TNI(Trusted Network Interpretation of TCSEC)를 비교/분석하여 필요한 보안기능 요구사항을 도출하여 향후 평가기준(안) 제정을 위한 방향성을 제시한다.

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An Analysis of Cost Driver in Software Cost Model by Neural Network System

  • Kim, Dong-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.377-377
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    • 2000
  • Current software cost estimation models, such as the 1951 COCOMO, its 1987 Ada COCOMO update, is composed of nonlinear models, such as product attributes, computer attributes, personnel attributes, project attributes, effort-multiplier cost drivers, and have been experiencing increasing difficulties in estimating the costs of software developed to new lift cycle processes and capabilities. The COCOMO II is developed fur new forms against the current software cost estimation models. This paper provides a case-based analysis result of the cost driver in the software cost models, such as COCOMO and COCOMO 2.0 by fuzzy and neural network.

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Configuring cellular manufacturing system through artificial neural network (인공 뉴럴 네트워크를 이용한 CM 시스템의 설계)

  • 양정문;문기주;김정자
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.34
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    • pp.91-97
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    • 1995
  • This paper presents a possible application of artificial neural network in CM system design. CM systems can be designed based on product lines, part characteristics or part routines. GT(Group Technology) which uses part characteristics to design cells is widely applied, however, the identification of the part-machine families is the fundamental problem in the design process. A heuristic procedure using SOFM which requires only part-machine incidence matrix is proposed in this research. Comparison studies on ZODIAC and ROC with SOFM model are done and the results are discussed and summarized in this paper.

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Physical Topology Discovery for Metro Ethernet Networks

  • Son, Myung-Hee;Joo, Bheom-Soon;Kim, Byung-Chul;Lee, Jae-Yong
    • ETRI Journal
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    • v.27 no.4
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    • pp.355-366
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    • 2005
  • Automatic discovery of physical topology plays a crucial role in enhancing the manageability of modern metro Ethernet networks. Despite the importance of the problem, earlier research and commercial network management tools have typically concentrated on either discovering logical topology, or proprietary solutions targeting specific product families. Recent works have demonstrated that network topology can be determined using the standard simple network management protocol (SNMP) management information base (MIB), but these algorithms depend on address forwarding table (AFT) entries and can find only spanning tree paths in an Ethernet mesh network. A previous work by Breibart et al. requires that AFT entries be complete; however, that can be a risky assumption in a realistic Ethernet mesh network. In this paper, we have proposed a new physical topology discovery algorithm which works without complete knowledge of AFT entries. Our algorithm can discover a complete physical topology including inactive interfaces eliminated by the spanning tree protocol in metro Ethernet networks. The effectiveness of the algorithm is demonstrated by implementation.

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