• Title/Summary/Keyword: Product Network

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A computer integrated production control system using TCP/IP for small sized chemical companies (중소규모 화학제조업을 위한 TCP/IP기반 통합 생산 관리 시스템 개발)

  • 문기주;강경원
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.22 no.50
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    • pp.381-390
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    • 1999
  • An integrated operation method of production control system for chemical-product job-shops is presented in this paper. A possible application of real-time control system is suggested to handle data from laboratory materials requirements to finished product shipment. A low cost intra-net is constructed to be used as the system network and applications are developed using Visual Basic. CGI programming is done to interface the applications with necessary databases.

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Generalized characteristic polynomials of semi-zigzag product of a graph and circulant graphs

  • Lee, Jae-Un;Kim, Dong-Seok
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1289-1295
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    • 2008
  • We find the generalized characteristic polynomial of graphs G($F_{1},F_{2},{\cdots},F_{v}$) the semi-zigzag product of G and ${\{F_{i}\}^{v}_{i=1}$ obtained from G by replacing vertices by circulant graphs of vertices and joining $F_{i}$'s along the edges of G. These graphs contain discrete tori and are key examples in the study of network model.

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An Optical Implementation of Associative Memory Based on Inner Product Neural Network Model

  • Gil, S.K.
    • Proceedings of the Optical Society of Korea Conference
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    • 1989.02a
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    • pp.89-94
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    • 1989
  • In this paper, we propose a hybrid optical/digital version of the associative memory which improve hardware efficiency and increase convergence rates. Multifocus hololens are used as space-varient optical element for performing inner product and summation function. The real-time input and the stored states of memory matrix is formated using LCTV. One method of adaptively changing the weights of stored vectors during each iteration is implemented electronically. A design for a optical implementation scheme is discussed and the proposed architecture is demonstrated the ability of retrieving with computer simmulation.

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Virtual Network Embedding with Multi-attribute Node Ranking Based on TOPSIS

  • Gon, Shuiqing;Chen, Jing;Zhao, Siyi;Zhu, Qingchao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.2
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    • pp.522-541
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    • 2016
  • Network virtualization provides an effective way to overcome the Internet ossification problem. As one of the main challenges in network virtualization, virtual network embedding refers to mapping multiple virtual networks onto a shared substrate network. However, existing heuristic embedding algorithms evaluate the embedding potential of the nodes simply by the product of different resource attributes, which would result in an unbalanced embedding. Furthermore, ignoring the hops of substrate paths that the virtual links would be mapped onto may restrict the ability of the substrate network to accept additional virtual network requests, and lead to low utilization rate of resource. In this paper, we introduce and extend five node attributes that quantify the embedding potential of the nodes from both the local and global views, and adopt the technique for order preference by similarity ideal solution (TOPSIS) to rank the nodes, aiming at balancing different node attributes to increase the utilization rate of resource. Moreover, we propose a novel two-stage virtual network embedding algorithm, which maps the virtual nodes onto the substrate nodes according to the node ranks, and adopts a shortest path-based algorithm to map the virtual links. Simulation results show that the new algorithm significantly increases the long-term average revenue, the long-term revenue to cost ratio and the acceptance ratio.

Optimization of Heat Exchange Network of SOFC Cogeneration System Based on Agricultural By-products (농산부산물 기반 SOFC 열병합발전 시스템 열교환망 최적화)

  • Gi Hoon Hong;Sunghyun Uhm;Hyungjune Jung;Sungwon Hwang
    • Journal of the Korean Institute of Gas
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    • v.28 no.1
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    • pp.1-10
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    • 2024
  • In this study, we constructed a process simulation model for an agricultural by-products based Solid Oxide Fuel Cell (SOFC) combined heat and power generation system as part of the introduction of technology for energy self-sufficiency in the agricultural sector. The aim was to reduce the burden of increasing fuel and electricity consumption due to rapid fluctuations in international oil prices and the expansion of smart farming in domestic farms, while contributing to the national greenhouse gas reduction goals. Based on the experimental results of 0.3 ton/day torrefied agricultural by-product gasification experiment, a model for an agricultural by-product-based SOFC cogeneration system was constructed, and optimization of the heat exchange network was conducted for SOFC capacities ranging from 4 to 20 kW. The results indicated that an 8 kW agricultural by-product-based SOFC cogeneration system was optimal under the current system conditions. It is anticipated that these research findings can serve as foundational data for future commercial facility design.

Dynamic analysis of short circulation with OPR prediction used neural network (Neural network을 이용한 OPR예측과 short circulation 동특성 분석)

  • Jeon, Jun-Seok;Yeo, Yeong-Gu;Park, Si-Han;Gang, Hong
    • Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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    • 2004.04a
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    • pp.86-96
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    • 2004
  • Identification of dynamics of short circulation during grade change operations in paper mills is very important for the effective plant operation. In the present study a prediction method of One Pass Retention(OPR) is proposed based on the neural network. The present method is used to analyze the dynamics of short circulation during grade change. Properties of the product paper largely depend upon the change in the OPR. In the present study the OPR is predicted from the training of the network by using grade change operation data. The results of the prediction are applied to the modeling equation to give flow rates and consistencies of short circulation.

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The Prediction of Geometrical Coniguration and Ductile Fracture using the Artificial Neural Network for a Cold Forged Product (신경망을 이용한 냉간 단조품의 기하학적 형상 및 연성파괴 예측)

  • 김동진
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.201-205
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    • 1996
  • This paper suggests the scheme to simultaneously accomplish prediction of fracture initation and geometrical configuration of deformation in metal forming processes using the artificial neural network. A three-layer neural network is used and a back propagation algorithm is adapted to train the network. The Cockcroft-Latham criterion is used to estimate whether fracture occurs during the deformation process. The geometrical configuration and the value of ductile fracture are measured by finite element method. The prediction of network and numerical results of simple upsetting are compared. The proposed scheme has successfully predicted the geometrical configuration and fracture initiation.

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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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