• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.1
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• pp.57-65
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• 2016

This paper was analyzed the characteristics of piezoelectric inkjet print head using finite element method(FEM). It showed the bending node driving of piezoelectric and relation theory principle consider piezoelectric material characteristics and ink characteristics. From such result we were had the piezoelectric head design and manufacture. It got a this head characteristics through experiment, we confirmed that proper voltage control is possible to through ink drop control experiment of piezoelectric print head. This paper was obtained the suitable ink jetting characteristics that manufacture the control circuit and piezoelectric inkjet print head. This practice product was applied to improvement of PCB electric circuit pattern by etching resist ink that PCB manufactured to complex process over traditional 6 stages can be simpled to 1 stage by inkjet printing technology.

• Journal of the Korea Safety Management & Science
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• v.7 no.5
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• pp.233-241
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• 2005

The most important thing in the garments enterprises is fast reaction. Expecially in the China has both many population and large territory, so each region of China, for instance, northeast, northwest, huanan, huabei, has various climate and considerably different temperature. As a result China garments enterprises require different clothes at the same time. This study build a reliable market-response process as a sub module of SCM that lay emphasis on production and sale cope with specific character of China. This process build a information chain including manufacture-planning, manufacture-ordering, production, arrivals of goods, distribution, sale, sale-evaluation, cross shipment, supplement shipment, and ordering popular goods and similar products. As a result of those, the focused points of this process are real time data gathering and various analysis of data, so it can be possible supporting more faster and more accurate market decision making system and our proposed goal is accomplishment of management profit.

• Journal of the Semiconductor & Display Technology
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• v.9 no.4
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• pp.93-97
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• 2010

Fast incipient fault diagnosis is becoming one of the key requirements for economical and optimal process operation management in high-tech industries. Artificial neural networks have been used to detect faults for a number of years and shown to be highly successful in this application area. This paper presents a novel test technique for fault detection and classification for module process of TFT-LCD manufacture using support vector machines (SVMs). In order to evaluate SVMs, this paper examines the performance of the proposed method by comparing it with that of multilayer perception, one of the artificial neural network techniques, based on real benchmarking data.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2006.06a
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• pp.184-184
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• 2006

• Proceedings of the Materials Research Society of Korea Conference
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• 1999.11a
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• pp.18-18
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• 1999

• Proceedings of the Materials Research Society of Korea Conference
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• 2000.11a
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• pp.79-79
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• 2000

• Proceedings of the Materials Research Society of Korea Conference
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• 2006.05a
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• pp.7.2-7.2
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• 2006

• Proceedings of the Korean Society of Laser Processing Conference
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• 2000.06a
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• pp.24-30
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• 2000

• Korean Journal of Heritage: History & Science
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• v.43 no.3
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• pp.144-179
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• 2010

Investigation into iron manufacture relics has been active since 1970s, especially accelerated in 1990s across the country. Consideration of the importance of production site relics has lately attracted attention to iron manufacture relics. Methodological studies of the investigation into iron manufacture relics, however, were less made compared with those of the investigation into tomb, dwelling, or swampy place relics. It is because the process of iron manufacture is too complicated to understand and also requires professional knowledge of metal engineering. With the recognition of these problems this research is to form an opinion about how to excavate, to rearrange and classify, and to examine iron manufacture relics, based upon the understanding of the nature of iron, iron production process, and metal engineering features of related relics like slag, iron lumps and so on. This research classifies iron manufacture relics into seven types according to the production process; mining, smelting, refining, tempering, melting, steelmaking, and the others. Then it arranges methods to survey in each stage of field study, trial digging, and excavation. It also explains how to classify and examine excavated relics, what field of natural science to be used to know the features of relics, and what efforts have been made to reconstruct a furnace and what their problems were, making the best use of examples, drawings, and photos. It comes to the conclusion, in spite of the lack of in-depth discussion on application and development of various investigation methods, that iron manufacture relics can be classified according to the production process, that natural sciences should be applied to get comprehensive understanding of relics as well as archeological knowledge, and that efforts to reconstruct a furnace should be continued from the aspect of experimental archeology.

• Journal of the Korean Society of Tobacco Science
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• v.23 no.1
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• pp.53-59
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• 2001

To decrease of deviations from target specifications and excessive variability around targe, we exclusively designed statistical process control system involving general manager and expert tool for cigarette manufacturing process. This system is a unique programming environment for the development of total process control software including various control charts according to data type and process capability analysis. Also this system includes the statistical analysis module to analyze defective causes immediately when inferior products are made and the module to offer regular reports. This system is customized considering the manufacture environment based on the opinions of workers.