• 전력전자학회논문지
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• 제8권4호
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• pp.359-365
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• 2003

본 논문은 산업용 네트워크 중 가장 많이 사용되는 네트워크 중 하나인 CAN를 사용하여 레미콘 생산설비 시스템에 온라인 자동화하는 방식을 제시하였다. 레미콘 생산설비에서 수분센서, 로드셀 센서 등에 대한 CAN 네트워크 인터페이스회로를 설계하였으며, 2개의 상태만 있는 리미트 스위치 및 램프 등을 효율적으로 네트워킹시키는 방식을 제시하였다. CAN 네트워크를 통하여 전체 레미콘생산 설비를 호스트 컴퓨터로 제어하면서 동작상태를 모니터링하고, 본 논문에 제시한 방법을 실제 레미론설비에 적용하여 타당성을 확인하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1990년도 추계학술대회 논문집 학회본부
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• pp.450-456
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• 1990

In this paper, production system is implemented with the inferential neural network model using semantic network and directed graph. Production system can be implemented with the transform of knowledge representation in production system into semantic network and of semantic network into directed graph, because directed graphs can be expressed by neural matrices. A concept node should be defined by the state vector to calculated the concepts expressed by matrices. The expressional ability of neunal network depends on how the state vector is defined. In this study, state vector is overlapped and each overlapping part acts as a inheritant of concept.

• Journal of information and communication convergence engineering
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• 제9권1호
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• pp.110-116
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• 2011

The production environment of fast and accurate news video has been continuously changing together with technology advance. Especially, the editing of the news video advanced focusing on the non-linear system by the introduction of digital technology and the recording of news video advanced to 'tapeless' base. In this new news video production environment, the recorded news videos are transmitted, edited and archived through the NPS (Network Production System), which dramatically improves the efficiency of the news video production. However, there are some issues which need to be resolved in the introduction of NPS. The purpose of this research is to identify the necessity of NPS introduction in the changing news video production environment, explore the issues which should be resolved and suggest the proper way to introduce the NPS to broadcasting companies.

• JSTS:Journal of Semiconductor Technology and Science
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• 제10권1호
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• pp.28-36
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• 2010

Hardware implementation methods for Artificial Neural Network (ANN) have been researched for a long time to achieve high performance. We have proposed a Network on Chip (NoC) for ANN, and this architecture can reduce communication load and increase performance when an implemented ANN is small. In this paper, a multiple NoC models are proposed for ANN, which can implement both a small size ANN and a large size one. The simulation result shows that the proposed multiple NoC models can reduce communication load, increase system performance of connection-per-second (CPS), and reduce system running time compared with the existing hardware ANN. Furthermore, this architecture is reconfigurable and reparable. It can be used to implement different applications of ANN.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.752-755
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• 2009

현재 국내외 주요 생산 현장에서 자동화 시스템이 구축되어 활발히 응용되고 있지만, 대부분 유선통신망을 이용한 시스템으로 생산 설비 기기 및 검사 장비의 교체 시 많은 시간적, 경제적 비용이 발생하는 단점이 있다. 이를 위해 IEEE 802.15.4(ZigBee) 표준기술을 이용한 반도체 검사장비의 제어 및 관리 시스템의 인터페이스를 구현하였다. 본 논문에서는 무선 네트워크 환경에서 저비용의 신뢰성 있는 통신 방식인 ZigBee 기술을 적용하여 공간적 복잡도를 해소하고, 서로 다른 장비간의 유선 통신망을 무선으로 통합한 시스템의 사용자 인터페이스(UI: User Interface)를 연구하였다.

• 대한안전경영과학회지
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• 제18권3호
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• pp.137-145
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• 2016

To promote the efficiency of production process of small and medium sized company, government conducts production information business that collects and analyzes information of production field automatically and helps process' controlling and supervising by supporting costs of purchase, installment, etc. of hard-software and network related to middle and small sized company intending e-Manufacturing of production field with computer and information & communication network. As a result, the number of middle and small sized companies that introduce and manage production information system is increased. Therefore, the purposes of this research are to arrange contents of production information system introduced to solve current problems of middle and small sized companies and analyze effects of small and middle sized companies' introduction through example companies.

• 대한산업공학회지
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• 제39권4호
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• pp.278-289
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• 2013

Up-to-date market dynamics and intense competition have forced a production system to be more widely distributed and decentralized than ever, and the production system itself can be regarded as a collaborative network of autonomous production resources in which the responsibility of decision making is also decentralized into individual autonomous entities. The conventional resource management models, however, are not suitable for the distributed and decentralized environment because of their centralized nature. In this paper, an agent-based resource management model is proposed. The proposed model applies employment relation-driven fractal organization (FrOrg) into organizational model for distributed production resources and presents a resource management framework based on employment contracts. The fractal organization is a structured association in which a self-similar pattern recursively appears, and employment relations between production resources are recursively constructed throughout the entire production system.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1993년도 추계학술대회발표논문집; 서강대학교, 서울; 25 Sep. 1993
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• pp.175-184
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• 1993

Modeling the production process is a necessary and essential aspect of the production planning. This paper introduces a theoretical model of the multi-stage production process. A multi-stage production process is regarded as a network of interrelated production activities which use system exogenous inputs of goods in production and the intermediate products transfers between activities to produce final products. Our model is characterized by (1) a few of the production-related assumptions and (2) two types of elements "goods and activities" that are represented in terms of the network terminology. This model is different from the another multi-stage production models, so-called production network models in relation to the production-theoretical concept. It is not based on the concept of the production correspondence and the activity production functions, but the technology model of Koopmans. Koopmans.

• 경영과학
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• 제30권1호
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• pp.25-41
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• 2013

This paper presents a supply chain framework with the ODM (Original Design Manufacturing)-OEM (Original Equipment Manufacturing) hybrid production of textile industry in FTA (Free Trade Agreements) environments between Korea and other countries. The proposed supply chain framework with ODM-OEM hybrid production is a unique supply chain that has both domestic production with non-tariff advantages in FTA environment and oversea production with low labor costs. To investigate the validity of the proposed supply chain, we first construct its strategic profit model and supply chain planning and then show that each member of supply chain network-yarn manufacturer, fabric manufacturer, and apparel manufacturer-can maximize their own profits without conflicts among the members. The efficiency of the ODM-OEM hybrid production system is analytically verified in comparison with the general OEM and ODM production model using profit models. Comprehensive numerical examples are provided to illustrate the advantages of the proposed system.

• 제어로봇시스템학회논문지
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• 제4권4호
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• pp.448-457
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• 1998

A neural network based control algorithm with fuzzy compensation is proposed for the automated adjustment in the production of electronic end-products. The process of adjustment is to tune the variable devices in order to examine the specified performances of the products ready prior to packing. Camcorder is considered as a target product. The required test and adjustment system is developed. The adjustment system consists of a NNC(neural network controller), a sub-NNC, and an auxiliary algorithm utilizing the fuzzy logic. The neural network is trained by means of errors between the outputs of the real system and the network, as well as on the errors between the changing rate of the outputs. Control algorithm is derived to speed up the learning dynamics and to avoid the local minima at higher energy level, and is able to converge to the global minimum at lower energy level. Many unexpected problems in the application of the real system are resolved by the auxiliary algorithms. As the adjustments of multiple items are related to each other, but the significant effect of performance by any specific item is not observed. The experimental result shows that the proposed method performs very effectively and are advantageous in simple architecture, extracting easily the training data without expertise, adapting to the unstable system that the input-output properties of each products are slightly different, with a wide application to other similar adjustment processes.