• 한국식품과학회지
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• 제38권1호
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• pp.68-74
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• 2006

다시마를 Vibrio sp.로 분해하여 제조한 SCD를 modified distance design의 최적 배합 비율에 따라 기능성 국수를 제조하였다. 밀가루의 함량이 증가할수록 다시마 SCD 국수의 texture parameter논 증가하였고, 물의 함량이 증가할수록 texture parameter는 반대로 감소하였으며 SCD의 함량이 증가할수록 texture parameter는 감소 후 증가하였다. 밀가루와 SCD의 함량이 증가할수록, 물의 함량이 감소할수록 L 값과 b 값은 증가하였으며, a 값은 밀가루의 함량이 증가할수록 감소하였고 물의 함량이 증가할수록 감소 후 증가하였다. Constraint coefficient 값의 분석 결과 SCD는 건면과 조리면의 texture parameter와 색도의 L(명도) 및 b(황색도) 값, 물은 a(적색도) 값에 가장 큰 영향을 주었으며, hardness를 제외한 texture parameter와 색도에서 원료간의 상호작용이 있었다. Modified distance design에 의해 결정된 최적 배합비율은 밀가루, 물, SCD의 함량이 각각 63.3, 31, 3.7%이었다. 관능검사 결과 잔해수로 처리한 SCD 국수는 시중제품보다 모든 면에서 점수가 약간 떨어지나, 전해수 미처리 SCD 국수보다는 월등히 높은 점수를 받아 전해수의 처리는 본 SCD 국수의 품질향상에 기여할 것으로 판단된다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2007년도 추계학술대회 논문집
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• pp.341-342
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• 2007

• 한국정밀공학회지
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• 제28권9호
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• pp.1086-1093
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• 2011

To fabricate the aluminum alloys with good drawability, the textures evolution of the AA5182 sheets due to the change of lid parameter after rolling and subsequent annealing was studied. The measurement of the deformation textures was carried out for the sheets with high reduction ratio and the change of the recrystallization texture was investigated after heat-treatments of the rolled sheets in various I/d parameters. Rolling without lubrication and subsequent annealing led to the formation of favorable rot-$C_{ND}$ {001}<110> and ${\gamma}$-fiber ND//<111> textures in AA5182 sheets. From the results, the ${\gamma}$-fiber ND//<111> component well evolved during rolling at high lid parameter of 6.77. The initial shear deformation texture, especially, ${\gamma}$-fiber ND//<111> was not rotated during heat treatment in holding time of 180~7,200 seconds on AA5182 with I/d parameter of 6.77. Therefore, the AA5182 sheets were fabricated by controlling I/d parameter having well evolved ${\gamma}$-fiber ND//<111> which was advantageous in good drawability of the sheets.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.1145-1150
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• 2005

The aim of this paper is to investigate the effect of surface texturing on metal surface and to understand the potential of friction reduction through micro-scale dimple to fabricate by photolithography on pin-on-disk test using flat-on-flat contact geometry. It was verify that the friction property with respect to the same pitch has been influence on the size of dimple under lubricated sliding contact. Also, we can recognize from Stribeck curve that the friction property has a connection with the size of dimple. It can explain a relationship between the friction coefficient and a dimensionless parameter for lubrication condition. The friction property has been an effect on the size of surface texture on reduction friction, not only because the density of dimple, but also because the ratio of diameter/pitch. This ratio of approximately 0.5 is recommend under the tested friction condition. It suggested that the ratio of d/p is an important parameter for surface texture design.

• Journal of Biosystems Engineering
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• 제37권4호
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• pp.271-278
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• 2012

Worldwide trends in animal welfare have resulted in an increased interest in individual management of sows housed in groups within hog barns. Estrus detection has been shown to be one of the greatest determinants of sow productivity. Purpose: We conducted this study to develop a method that can automatically detect the estrus state of a sow by selecting optimal texture parameters from images of a sow's pudendum and by optimizing the number of neurons in the hidden layer of an artificial neural network. Methods: Texture parameters were analyzed according to changes in a sow's pudendum in estrus such as mucus secretion and expansion. Of the texture parameters, eight gray level co-occurrence matrix (GLCM) parameters were used for image analysis. The image states were classified into ten grades for each GLCM parameter, and an artificial neural network was formed using the values for each grade as inputs to discriminate the estrus state of sows. The number of hidden layer neurons in the artificial neural network is an important parameter in neural network design. Therefore, we determined the optimal number of hidden layer units using a trial and error method while increasing the number of neurons. Results: Fifteen hidden layers were determined to be optimal for use in the artificial neural network designed in this study. Thirty images of 10 sows were used for learning, and then 30 different images of 10 sows were used for verification. Conclusions: For learning, the back propagation neural network (BPN) algorithm was used to successful estimate six texture parameters (homogeneity, angular second moment, energy, maximum probability, entropy, and GLCM correlation). Based on the verification results, homogeneity was determined to be the most important texture parameter, and resulted in an estrus detection rate of 70%.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1996년도 춘계학술대회 논문집
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• pp.24-29
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• 1996

The seniconductor, which is precision product, requires many inspection processes. The surface conditions of the semiconductor chip effect on the functions of the semiconductors. The defects of the chip surface is crack or void. Because general inspection method requires many inspection processes, the inspection system which searches immediately and preciselythe defects of the semiconductor chip surface. We propose the inspection method by using the computer vision system. This study presents an image processing algorithm for inspecting the surface defects(crack, void)of the semiconductor test samples. The proposed image processing algorithm aims to reduce inspection time, and to analyze those experienced operator. This paper regards the chip surface as random texture, and deals with the image modeling of randon texture image for searching the surface defects. For texture modeling, we consider the relation of a pixel and neighborhood pixels as noncasul model and extract the statistical characteristics from the radom texture field by using the 2D AR model(Aut oregressive). This paper regards on image as the output of linear system, and considers the fidelity or intelligibility criteria for measuring the quality of an image or the performance of the processing techinque. This study utilizes the variance of prediction error which is computed by substituting the gary level of pixel of another texture field into the two dimensional AR(autoregressive model)model fitted to the texture field, estimate the parameter us-ing the PAA(parameter adaptation algorithm) and design the defect detection filter. Later, we next try to study the defect detection search algorithm.

• 한국식품과학회지
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• 제48권5호
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• pp.521-524
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• 2016

쌀밥의 조직감 측정시 가장 보편적으로 사용되는 텍스처 프로파일 분석(TPA)에 있어서, 모방적기기인 texture analyser를 사용하여 측정조건, 즉 압착율과 탐침이동속도를 달리하면서 4종류의 즉석쌀밥 시료들에 대한 경도, 점착성, 응집성, 씹힘성 및 탄성을 측정하였다. 4종류의 즉석쌀밥 시료들은 압착율과 탐침이동속도가 달라짐에 따라, 각각의 조직감 특성에 있어서 시료들 사이에 유의적인 차이를 보이거나 보이지 않는 변화를 보였다. 또한, 다섯가지 조직감 특성을 모두 고려하여 군집분석을 수행했을 경우에도 측정조건에 따라서 4종류 시료들이 서로 다르게 그룹화되는 것을 볼 수 있었다. 더불어, 쌀밥의 조직감 평가시 사용되는 '점착성/경도'값도 측정조건에 따라 4종류 시료들이 서로 다른 값을 보여주었다. 이들 결과를 토대로, 쌀밥의 조직감 측정시 쌀밥의 관능적 조직감 특성을 객관적으로 언급할 목적으로 기기적 측정을 수행한다면, 여러 분석을 통해 관능검사 결과와 가장 부합하는 측정 조건을 선택하는 것이 필요하며, 특정한 기기적 측정조건을 설정할 경우 실험목적에 따라 여러 특성을 고려하여 적합한 측정조건을 설정하는 것이 매우 중요하다 하겠다.

• Tribology and Lubricants
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• 제20권5호
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• pp.266-271
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• 2004

The aim of this paper is to investigate the effect of surface texturing on reduction friction and to understand the potential of friction reduction through micro-scale dimple to fabricate by photolithography on pin-on-disk test using flat-on-flat contact geometry. It was verify that the friction property with respect to the same pitch has been influence on the size of dimple under lubricated sliding contact. Also, we can recognize from Stribeck curve that the friction property has a connection with the size of dimple. It can explain a relationship between the friction coefficient and a dimensionless parameter for lubrication condition. The friction property has been an effect on the size of surface texture on reduction friction, not only because the density of dimple, but also because the ratio of diameter/pitch. This ratio of approximately 0.5 recommend under the tested friction condition. It suggested that the ratio of d/p is an important parameter for surface texture design.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.217-222
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• 2004

The aim of this paper is to investigate the effect of micro-dimple size on reduction friction and to understand the potential of friction reduction through micro-scale dimple to fabricate by photolithography on pin-on-disk test using flat-on-flat contact geometry. It was verify that the friction property with respect to the same pitch has been influence on the size of dimple under lubricated sliding contact. Also, we can recognize from Stribeck curve that the friction property has a connection with the size of dimple. It can explain a relationship between the friction coefficient and a dimensionless parameter for lubrication condition. The friction property has been an effect on the size of surface texture on reduction friction, not only because the density of dimple, but also because the ratio of diameter/pitch. This ratio of approximately 0.5 is recommend under the tested friction condition. It suggested that the ratio of d/p is an important parameter for surface texture design.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1990년도 추계학술대회
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• pp.25-28
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• 1990

We tested the ability of two-dimensional echocardiograms of complete heart cycle in closed-chest human to discriminate between normal and infarcted myocardium using fixed window, Inter- and Intra-frame analysis. The results show that statistical parameter, MEAN, second order gray level statistics parameter, ASM and proposed parameter, HGE, I.T, can quantitatively distinguish between normal and Infarcted regions. The manner in which these parameters vary over the cardiac cycle is also a good indicator of the state of myocardium. The infarcted areas yield regions of higher Intensity throughout the cardiac cycle. Whereas, normal tissue demonstrates greater variability throughout the cardiac cycle.