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하이브리드 방식을 적용한 흡수식 냉방시스템의 실험적 연구
권오경(Ohkyung Kwon),차동안(Dongan Cha),김효상(Hyosang Kim),우성민(Sungmin Woo) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.11
In this paper, the performance evaluation for a solar/gas hybrid absorption system using LiBr-H₂O is experimentally studied. In order to use solar energy more effectively, a new type of solar/gas driving hybrid absorption system is designed. This system operates in solar energy without gas consumption when solar radiation is high and in gas energy when solar radiation is low. So the objective of this paper is to investigate the cooling characteristics of a hybrid absorption system using solar and gas energy. In this system, three different modes are conducted: single, double and hybrid operation mode. A prototype is designed and made in the present study. The results show that the COP in the hybrid mode can reach 1.53, increasing of 28.6% as compared with the COP 1.19 in the double effect mode.
전자현미경을 이용한 나노셀룰로오스 물질의 형태학적 특성 분석 연구
권오경(Ohkyung Kwon),신수정(Soo-Jeong Shin) 한국펄프·종이공학회 2016 펄프.종이기술 Vol.48 No.1
Electron microscopy is an important investigation and analytical method for the morphological characterization of various cellulosic materials, such as micro-crystalline cellulose (MCC), microfibrillated cellulose (MFC), nanofibrillated cellulose (NFC), and cellulose nanocrystals (CNC). However, more accurate morphological analysis requires high-quality micrographs acquired from the proper use of an electron microscope and associated sample preparation methods. Understanding the interaction of electron and matter as well as the importance of sample preparation methods, including drying and staining methods, enables the production of high quality images with adequate information on the nanocellulosic materials. This paper provides a brief overview of the micro and nano structural analysis of cellulose, as investigated using transmission and scanning electron microscopy.
< 구두-B-08 > 앙상블법을 이용한 자동목재수종식별 시스템의 성능향상
권오경 ( Ohkyung Kwon ),이형구 ( Hyung Gu Lee ),양상윤 ( Sang-yun Yang ),김현빈 ( Hyunbin Kim ),박세영 ( Se-yeong Park ),최인규 ( In-gyu Choi ),여환명 ( Hwanmyeong Yeo ) 한국목재공학회 2019 한국목재공학회 학술발표논문집 Vol.2019 No.1
이전 연구에서 개발된 딥러닝 기술과 제재목의 횡단면 이미지를 이용한 목재수종 자동판별 모델인 LeNet3는 목재 횡단면 이미지에 대해 높은 판별 성공률을 보였다. 하지만, 실제 현장에서 활용할 때에는 판목면의 이미지를 얻게 될 경우가 더 많다. 따라서 현장에서의 목재수종 자동판별의 성능을 향상시키기 위해서는 판목면 이미지를 대상으로 하는 모델의 개발이 필요하다. 침엽수재의 판목면 상의 무늬는 횡단면에 비해 수종 간 차이가 덜 명확하며, 잘린 각도에 따라 다양하고 복잡한 무늬가 나타난다. 그 결과 횡단면의 이미지에 대한 높은 판별 성능을 보이는 모델을 적용할 경우, 판목면 이미지에 대한 판별 성능이 낮아질 것으로 예상된다. 따라서 횡단면 이미지, 판목면 이미지 모두에 높은 판별 성능을 보이는 모델을 개발할 필요가 있다. 본 연구에서는 목재의 횡단면, 판목면의 이미지를 이용하여 목재수종을 자동으로 식별하는 앙상블 방법을 이용하여 새로운 모델을 개발하였다. 앙상블 방법은 기존의 여러 가지 모델을 이용하여 분류성능을 향상시키는 방법으로 특정한 무늬에 대한 판별 성능이 높은 여러 개의 모델을 결합하는 방법이다. LeNet 계열의 모델들과 MiniVGGNet 계열의 모델들이 조합 중에서 LeNet2, LeNet3, MiniVGGNet4를 이용한 앙상블 모델의 성능이 가장 좋게 나왔다. 이 앙상블 모델을 이용하여 한국산 5개 수종의 횡단면, 판목면 이미지를 이용하여 목재수종 자동식별을 수행한 결과 개별 모델보다 판별 성능이 향상(f1 score > 0.98)된 것을 확인할 수 있었다. 특히, 잣나무와 소나무에 대한 판별 성능이 크게 향상된 것을 확인하였다.
나노셀룰로오스의 형태적 특징 연구를 위한 투과전자현미경용 최적의 그리드 선택과 처리 방법
권희애(Hee-Ae Kwon),신수정(Soo-Jeong Shin),권오경(Ohkyung Kwon) 한국펄프·종이공학회 2017 펄프.종이기술 Vol.49 No.1
Morphological characteristics of nanocelluloses are necessary to advance our understanding of role within suspension and composite systems. When the shape is investigated by transmission electron microscope, nanocelluloses are required to be separated individual particles with minimum cross-over and overlap. The dispersion of nanocelluloses is significantly affected by surface chemistry of nanocellulose, pH of suspension, surface characteristics of supporting film of TEM grid, and features of stains for negative staining. For nanocelluloses with the hydrophilic surface, supporting film of a TEM grid is needed to be not hydrophilic but also to match pHs of nanocellulose suspension and negative staining solution. This paper provides a brief overview of conditions of an optimal dispersion of nanocelluloses on a TEM grid for quantitative determination of the shape of nanocelluloses.
배경진(Kyungjin Bae),박제성,권오경(Ohkyung Kwon) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
Silica gel and Zeolite adsorbent are used for adsorption systems. In this study, 2 type Metal Organic Framework(A100, A200) that with a better adsorption capacity compared to that of Silica gel and Zeolite-water are used. An experiment setup consists of an adsorber test section, evaporator, condenser, and four constant temperature baths. The amount of adsorption of A100 and A200 at the relative pressure between 0.1 and 0.3 are 392 mg and 315mg, respectively.
객체분획 기술을 이용한 정략적 목재해부학: 굴참나무 관공과 타일로시스의 검출과 분획
이지영 ( Jiyoung Lee ),이형구 ( Hyung Gu Lee ),권오경 ( Ohkyung Kwon ) 한국목재공학회 2020 한국목재공학회 학술발표논문집 Vol.2020 No.1
Quantitative wood anatomy (QWA) is a field of wood anatomy that characterizes the variability of xylem anatomical features in trees, shrubs, and herbaceous species. QWA analyzes functions, growth, and environment related to wood anatomical features by measuring their dimensions, numbers, and distribution. However, there has been difficulties to produce large data sets of xylem anatomical data. Although image acquisition and analysis techniques have been improved in their performance and easy-of-use functions, methods of quantification of the anatomical features are still not feasible to produce large amount of data, which is a basis of statistical representativeness. In this presentation, we explored capability of an instance segmentation technique as a promising quantification method to obtain massive amount of data. To elucidate merits of the instance segmentation technique over threshold-based image analysis, both methods were applied for detecting and segmenting pores and tyloses in microscopic images of Quercus aliena Bl. Threshold-based image segmentation and analysis is ready to use for separating pore-like objects in an image, but not capable of distinguishing anatomical features such as pore and tylosis without further analysis. Also, requirement of manual parameter optimization makes automatic segmentation and measurement difficult for large number of images. On the other hand, the instance segmentation technique requires elaborate preparation of training datasets and optimization to detect and segment most of pores and tyloses, but, after optimization, the trained model is versatile for detection and segmentation of the anatomical features. In addition, the technique is robust against various illumination and sample conditions. Utilizing the instance segmentation technique, we can automate collection of quantitative data from massive microscopic images of anatomical features of wood. Therefore, the instance segmentation technique can be a powerful tool for quantitative wood anatomy. - 44