• Journal of Mechanical Science and Technology
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• 제16권12호
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• pp.1604-1612
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• 2002

Rollers in the continuous process systems are ones of key components that determine the quality of web products. The condition of rollers (e.g. eccentricity, runout) should be consistently monitored in order to maintain the process conditions (e.g. tension, edge position) within a required specification. In this paper, a new diagnosis algorithm is suggested to detect the defective rollers based on the frequency analysis of web tension signals. The kernel of this technique is to use the characteristic features (RMS, Peak value, Power spectral density) of tension signals which allow the identification of the faulty rollers and the diagnosis of the degree of fault in the rollers. The characteristic features could be used to train an artificial neural network which could classify roller conditions into three groups (normal, warning, and faulty conditions) The simulation and experimental results showed that the suggested diagnosis algorithm can be successfully used to identify the defective rollers as well as to diagnose the degree of the defect of those rollers.

• 한국공작기계학회논문집
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• 제15권1호
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• pp.8-16
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• 2006

The communication through optical fiber is taking an important role of the expansion of communication network with excellent transmitting rate and quality. As the optical communication is introduced to the backbone network at first and becomes a general communication method of network, the demand of kernel parts of optical communication such as PLC(Planar Light Circuit), Coupler, and WDM(Wavelength Division Multiplexing) element increases. The alignment and the attachment technology are very important in the fabrication of optical elements. In this paper, the driving mechanism of ultra precision stage is studied with the aim of optimal design of stage. The travel and the resolution of stage are investigated. The hysteresis of the stage is generated because of PZT actuator. The hysteresis and the inverse hysteresis are modeled in X, Y, and Z-axis motion. The input data of desired displacement of the stage according to input voltage is obtained from the inverse hysteresis equation. In the result of experiments with the input data, the errors due to hysteresis are well compensated.

• 한국작물학회지
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• 제35권4호
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• pp.370-374
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• 1990

벼물바구미 피해정도에 따른 벼 생육 및 미질 변화에 미친 영향을 조사한 결과는 다음과 같다. 1. 벼물바구미 피해정도에 따라서 보면 피해정도가 심할수록 경수는 적고, 초장은 짧았으며 최고분벽기도 지연되었다. 2. 벼물바구미 피해에 의하여 출수기는 1-2일 정도 지연되었고, 간장도 짧아졌으며, 수수도 감소하였고, 등숙율은 떨어지는 경향이었다. 3. 벼물바구미 피해에 의하여 수량은 4-22% 감소하였으며, 그 정도는 1모작보다 2모작에서 심하였다. 4. 벼물바구미 피해에 의한 미질 변화는 불완전미가 증가하였고, 특히 청미가 증가하였다.

• 한국정밀공학회지
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• 제17권12호
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• pp.107-114
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• 2000

Rollers and rolls in the continuous process systems are noes of key components that determine the quality of web products. The condition of rollers and rolls(ex. eccentricity wear) should be consistently monitored in order to maintain the process conditions (ex. tension, edge position) within a required specification. In this paper, a new diagnosis technique is suggested to detect the defect of rollers/rolls (ex. eccentricity, wear) based on frequency domain analysis of web tension signal. The kernel of this technique is to use the spectrum amplitude of tension signal which allows to identify the fault rollers/rolls and to also diagnose the degree of fault in corresponding rollers and rolls. The experimental results proved that the suggested diagnosis technique can be successfully used to identify the defect rollers and rolls as well as to diagnose the degree of the defect of those rollers. The suggested technique can be applied to monitor and diagnose the shape of rollers and rolls in various multi-span web transport systems.

• 한국정밀공학회지
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• 제21권12호
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• pp.92-99
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• 2004

The formation degree of sustain (ITO pattern) decides quality of PDP (Plasma Display Panel). For this reason, it makes efforts in searching defects more than 30 un as 100%. Now, the existing inspection is dependent upon naked eye or microscope in off-line PDP manufacturing process. In this study developed prototype inspection system of PDP 170 glass is based on line-scan mechanism. Developed system creates information that detects and sorts kinds of defect automatically. Designed inspection technology adopts multi-vision method by slip-beam formation for the minimum of inspection time and detection algorithm is embodied in detection ability of developed system. Designed algorithm had to make good use of kernel matrix that draws up an approach to geometry. A characteristic of defects, as pin hole, substance, protrusion, are extracted from blob analysis method. Defects, as open, short, spots and et al, are distinguished by line type inspection algorithm. In experiment, we could have ensured ability of inspection that can be detected with reliability of up to 95% in about 60 seconds.

• 한국재료학회지
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• 제27권11호
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• pp.636-642
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• 2017

In the present study the microstructure of low-carbon steels fabricated by controlled rolling and accelerated cooling processes was characterized and identified based on various microstructure analysis methods including optical and scanning electron microscopy, and electron backscatter diffraction(EBSD). Although low-carbon steels are usually composed of ${\alpha}-ferrite$ and cementite($Fe_3C$) phases, they can have complex microstructures consisting of ferrites with different size, morphology, and dislocation density, and secondary phases dependent on rolling and accelerated cooling conditions. The microstructure of low-carbon steels investigated in this study was basically classified into polygonal ferrite, acicular ferrite, granular bainite, and bainitic ferrite based on the inverse pole figure, image quality, grain boundary, kernel average misorientation(KAM), and grain orientation spread(GOS) maps, obtained from EBSD analysis. From these results, it can be said that the EBSD analysis provides a valuable tool to identify and quantify the complex microstructure of low-carbon steels fabricated by controlled rolling and accelerated cooling processes.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.191-195
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• 2003

The formation degree of sustain (ITO pattern) decides quality of PDP (plasma display panel). For this reason. it makes efforts in search defects more than 30 ${\mu}{\textrm}{m}$. Now, the existing inspection process is dependent upon naked eye or SEM equipment in off-line PDP manufacturing process. In this study developed prototype inspection system of PDP ITO glass. This system creates information that detects and sorts kind of defect automatically. Design ed inspection technology adopts line-scan method by slip-beam formation for the minimum of inspection time and image processing algorithm is embodied in detection ability of developed system. Designed algorithm had to make good use of kernel matrix which draws up an approach to geometry. A characteristic of area-shaped defects, as pin hole, substance, protrusion et al, are extracted from blob analysis method. Defects, as open, short, spots, et al, are distinguished by line type inspection algorithm. In experiment results, we could have ensured ability of inspection that can be detected with reliability of up to 95% in about 60 seconds

• 한국게임학회 논문지
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• 제14권6호
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• pp.59-68
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• 2014

초고해상도 UHD($096{\times}2160$) 게임 영상의 메모리 대역폭 요구량은 기하급수적으로 늘어난다. 본 논문에서는 화질 저하 없이 메모리 대역폭 문제를 해결하기 위하여 CUDA 환경에서 비트 병렬 파이프라인을 지원하는 논문 [4]의 DDPCM-GR 압축 알고리즘을 변형한 DPCM-GR 방식을 적용한 무손실 압축을 구현하였다. CUDA 공유메모리 사용을 통한 효율성을 증대하였으며, paged-locked 호스트 메모리 비동기 전송을 통한 커널과 데이터 전송 중첩의 다양한 구성을 구현하였다. 실험을 통하여 CPU 방식에 비하여 최대 31.3배 속도 향상을 이루었으며, 비동기 전송 구성의 변화를 통하여 최대 30.3% 수행 시간이 감소하였다.

• Applied Biological Chemistry
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• 제32권3호
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• pp.203-208
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• 1989

한국산 맥주맥 8종, 미국산 맥주맥 9종 및 한국산 6조맥 겉보리 3종의 제맥특성을 비교 검토하였다. 미국산 보리는 한국산 보리에 비하여 발아력이 우수하고 추출수율이 높을 뿐만 아니라 당화력도 우수하였다. 미국산 보리의 단백질함량은 $11.8{\sim}14.2%$로 비교적 일정하였으나 한국산 보리의 단백질 함량은 $9.7{\sim}15.5%$로 다양하였다. 한국산 6조맥 입식용 겉보리는 2조맥 맥주맥에 비하여 발아력, 추출수율, 당화력이 떨어지고, 맥즙의 점도가 현저히 높아 여과에 어려움이 있어 맥주제조용으로는 적합하지 않았다.

• 한국산학기술학회논문지
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• 제13권8호
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• pp.3779-3784
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• 2012

산업체 공정의 실시간 공정 모니터링과 진단은 생산 제품의 품질과 안전을 보장하는데 반드시 필요한 활동들의 하나이다. 그중에서 공정 진단은 공정에 발생된 특정 이상상황의 원인을 밝혀내는 것으로서 조업자들이 이상상황의 근본원인을 보다 효과적으로 도출하는데 도움을 줄 수 있다. 본 논문에서는 비선형 KFDA 기법과 데이터 전처리기법을 이용한 이상원인 진단방법을 적용하고 이의 진단 성능을 기존 선형 기법에 기반한 PCA 진단방법과 비교한다. 실제 공정을 모사한 Tennessee Eastman 공정 시뮬레이터의 공정 데이터를 통한 사례연구를 수행한 결과 기존 선형 진단 방법론 대비 신뢰할 수 있는 진단 결과를 얻을 수 있었다.