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Kim, Yusung,Noh, Seungtak,Cho, Gu Young,Park, Taehyun,Lee, Yoon Ho,Yu, Wonjong,Lee, Yeageun,Tanveer, Waqas Hassan,Cha, Suk Won Korean Society for Precision Engineering 2016 International Journal of Precision Engineering and Vol.17 No.8
Thin film solid oxide fuel cells with nickel oxide - gadolinia doped ceria anodes deposited by sputtering were operated at <TEX>$500^{\circ}C$</TEX>. The fuel cells each have 750 nm - yttria-stabilized zirconia electrolytes and 200 nm - platinum cathodes. The thicknesses of the anodes are 240 nm, 320 nm, and 400 nm. The cell with the 320-nm-thick anode showed the highest maximum power density among all cells. Through electrochemical impedance spectroscopy, the anodic activation resistance and the ohmic resistance were calculated. The anodic activation loss decreased with an increase in the anode thickness. Therefore, the cell with the 400-nm-thick anode showed the lowest activation polarization resistance. Additionally, the ohmic resistance, the sum of various electronic/ionic resistances, was lowest when using the 320-nm-thick anode. The electronic resistance and the ionic resistance of the anode were found to exist in a trade-off relationship owing to the current-collecting method of the anode.
장영균(Youngkyoon Jang),노승탁(Seungtak Noh),우운택(Woontack Woo) 한국HCI학회 2014 한국HCI학회 학술대회 Vol.2014 No.2
본 논문에서는 컬러-깊이 (RGB-D) 영상을 기반으로 맨손-평면 접촉점을 검출하는 알고리즘을 제안한다. 제안하는 알고리즘은 깊이 영상으로부터 생성된 점군을 다운샘플링하고 RANSAC 방법을 활용하여 평면을 검출함으로써 다수 객체가 평면을 가리는 상황에서도 안정적으로 평면을 검출 한다. 또한 제안하는 알고리즘은 객체 후보군을 먼저 군집화 한 다음에 손을 판별함으로써 손과 비슷한 색을 가지는 평면 환경에서도 정확한 맨손-평면 접촉점을 검출 한다. 앞서 다운샘플링된 점군 중에서도 손 포함 객체 점군만을 접촉점 검출에 활용함으로써 제안하는 알고리즘은 16 FPS의 빠른 처리 속도를 보인다. 이는 이전 기술과는 달리 정돈되지 않은 평면 환경에서도 맨손-평면 접촉점 검출을 수행함으로써 향후 다양한 인터랙션에 이용되는 핵심 기술이다. This paper presents bare hand-plane touch points detection algorithm based on color and depth image. The proposed algorithm downsamples point clouds, which are generated from depth image. Then, by utilizing RANSAC method, the algorithm stably detects a plane surface even though the surface is occluded by multiple objects. Moreover, the algorithm is robust to detect hand-plane touch points even though the colors of the surface and hand are quite similar, because it distinguishes an object including bare hand after clustering candidate objects. The processing time of the proposed algorithm is around 16 FPS, which is achievable based on the downsampled point clouds only including a hand-included object. The proposed algorithm could be the core technique for the interactions utilizing touch points of bare hand in a disordered plane environment.
Durable graphene-coated bipolar plates for polymer electrolyte fuel cells
Lee, Yoon Ho,Noh, SeungTak,Lee, Ju-Hyung,Chun, Seung-Hyun,Cha, Suk Won,Chang, Ikwhang Elsevier 2017 International journal of hydrogen energy Vol.42 No.44
<P><B>Abstract</B></P> <P>In this paper, we investigate the role of a graphene layer for polymer electrolyte fuel cells (PEFCs) which require an ultrathin protective layer for copper bipolar plates. The graphene layer was deposited by chemical vapor deposition using CH<SUB>4</SUB> at 830 °C. We examined the deposited graphene layer to characterize microstructural properties using a Raman spectroscopy microscope and a secondary electron microscope. During the electrochemical tests, the current–voltage–power (I–V–P) performance of the single cell using the copper bipolar plate with the graphene layer was highly stable for 5 h, while the I–V–P performance of the single cell using the pure copper bipolar plate (without the graphene layer) was much lower. We conclude that the graphene layer acts as a very thin passivation layer on the copper bipolar plate of a PEFC.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A graphene layer on copper bipolar plate is deposited by chemical vapor deposition. </LI> <LI> The graphene layer was deposited by chemical vapor deposition using CH<SUB>4</SUB> at 830 °C. </LI> <LI> The graphene on the copper bipolar plate acts as a very thin passivation layer. </LI> </UL> </P>