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QFD 기법을 이용한 특정 유해가스 노출제어 이온선택성 보호복 소재개발연구
송화선 ( Hwa Seon Song ),구일섭 ( Il Seob Koo ),김인식 ( In Sik Kim ) 한국품질경영학회 2015 품질경영학회지 Vol.43 No.3
Purpose: Through studying the expert`s and non-experts panel responses to the questions regarding the attributes of chemical-biological protection cloth quality in terms of the levels of customer demand and technical factors has been studied. We are applied to a QFD matrix with find out the relationship between the selective removal efficiency of chemical-biological cloth and the guidelines of technical approach. Methods: We fabricated several composite of ion-exchange resins with selectively permeable performance designed to facilities water vapor transport and selective adsorption of the harmful gases. With these materials, we characterized on the selectively permeable performance to identify ion-exchange resin with chemicalbiological protective cloth. Results: Results showed that ion exchange materials possessed performance with selectively efficiencies as NH3, SOx, NOx and HCl gas. The selective adsorption amount of ammonia and hydrogen gases were 90-80 ㎍/g with TRILITE SCR-BH sulfonated ion exchange resin. The PP non-woven/ion exchange resin adsorbent materials possessed performance with water vapor permeability were 1,100-1,350 g/m2/day, it`s was two times high value compare with activated carbon. With these materials, we characterized selectively removal efficiency to identify new ion-exchange material with chemical-biological protective capability. Conclusion: This study shows that a QFD aids in deciding with of the adsorption parameters to optimized with chemical-biological protection cloth manufacturing.
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송화정(Hwa Jung Song),류경식(Kyeung Seek Lew),김용득(Tong Deak Kim) 大韓電子工學會 2010 電子工學會論文誌-SC (System and control) Vol.47 No.5
시장과 공장 환경 변화에 따라 생산관리의 용이성, 조작의 편리성, 높은 산업 안정성등의 요구가 본 논문에서는 네트워크기반의 시스템을 도입하여 단점을 보완한 새로운 고속, 초정밀 취출 로봇 제어기를 개발하였다. 개발된 제어기는 크게 티칭 팬던트와 중앙 서버 PC로 구분된다. 중앙 서버 PC는 관리자에게 전체 공정에 관련된 정보를 제공하게 된다. 티칭 팬던트는 중앙 서버 PC와 사출물 취출 로봇에 다리 역할로 사출로봇을 이용하는 사용자에게 제어 기능 및 사용자 인식, 금형파일 관리등 다양한 기능을 제공하게 된다. 사출물 취출을 위한 제어기 개발은 소프트웨어와 하드웨어 부분으로 나누어진다. 소프트웨어 개발은 3단계로 구분된다. 응용 프로그램과 유저 인터페이스 그리고 디바이스 드라이버로 구분되며, 간단한 디바이스 드라이버에는 따로 구분하지 않고 응용 프로그램에 포함되어 사용하도록 하였다. 하드웨어는 터치패널과 무선 네트워크를 도입하여 인터넷 접속 및 효율적인 공정 제어를 구축할 수 있도록 하였다. 기존의 시스템의 취출 싸이클이 5초였으나, 개선된 시스템을 도입하였을 경우 4초이내였으며, 다양한 무선 네트워크 기능으로 인한 공정 관리 및 생산 관리등 공정의 효율성을 높일 수 있었다. Clients require easy to use of product and operating and industry safety according to the change of a market and a factory. For overcoming it, this paper developed controller of take-out robots that take high speed and superprecision and supplement a week point as use the system based on network. development controller classify teaching pendant and center server PC. Center server PC service the information about all process to supervisor. Teaching pendant is the bridge that service various faculties such as control, user recognition, metallic pattern operation to the user using injection molding. The controller development for taking out injection molded body classify software and hardware. The development of software is divided into three step which is application program, user interface and device driver. the simple device driver is not classified and included in application program. The hardware induce the touch panel and wireless network and construct the effective process control and internet connection. The inject ion cycle of existing system was five second but advanced system has the inner four cycle, process efficiency and product operation through wireless network.
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효과적인 2차 최적화 적용을 위한 Minibatch 단위 DNN 훈련 관점에서의 CNN 구현
송화전(Song, Hwa Jeon),정호영(Jung, Ho Young),박전규(Park, Jeon Gue) 한국음성학회 2016 말소리와 음성과학 Vol.8 No.2
This paper describes some implementation schemes of CNN in view of mini-batch DNN training for efficient second order optimization. This uses same procedure updating parameters of DNN to train parameters of CNN by simply arranging an input image as a sequence of local patches, which is actually equivalent with mini-batch DNN training. Through this conversion, second order optimization providing higher performance can be simply conducted to train the parameters of CNN. In both results of image recognition on MNIST DB and syllable automatic speech recognition, our proposed scheme for CNN implementation shows better performance than one based on DNN.
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발열성·불연성 시험을 통한 폴리머 시멘트 모르타르의 연소특성 평가
송화철(Song, Hwa-Cheol),박동천(Park, Dong-Cheon) 대한건축학회 2011 大韓建築學會論文集 : 構造系 Vol.27 No.10
Not only mechanical properties, bonding properties, electro chemical properties, etc. but also fire safety is required in patch repair materials such as polymer modified cement mortar (PCM) which are used to deteriorated reinforced concrete structure. Unfortunately, it is very difficult to choice the appropriate repair materials because there are not enough information about fire safety properties of PCM. In this study, The combustion characters of PCM were evaluated through the heat release rate test and non-combustibility test. The pyrogenicity test uses the cone calorimeter based on the oxygen consumption method. The non-combustibility test is from the temperature change inside the furnace during the test. The effect of the types of polymer and polymer content were evaluated from the series of test. The results are like followings. 1) The higher the W/C of PCM, the lower the gross calorific value and heat generation rate in the heat release rate test. The amount of heat generation of PCM is like the order of VVA, EVA, and SBR in this study. 2) Some materials such as E45-100, E50-100, E60-100, S50-50, and S50-100 were estimated as not appropriate building materials in the non combustibility test.
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