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Optimization of a Zinc Oxide Photoelectrode for Dye-Sensitized Solar Cells
Hong Jeongsoo 한국물리학회 2020 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.77 No.11
In this study, the influence of the seed-layer thickness of photoelectrodes on the performance of dye-sensitized solar cells was investigated. Al-doped ZnO films deposited on fluorine-doped tin oxide substrates by using facing targets sputtering systems of various thicknesses were used as seed layers, and ZnO rod array photoelectrodes were synthesized on the AZO seed layers via the hydrothermal process. The crystallinity of the ZnO photoelectrode was improved, and the average diameter of the ZnO rod increased from 100 ± 10 to 250 ± 10 nm as the thickness of the seed layer increased from 200 to 600 nm. The maximum fill factor, open-circuit voltage, current density, and power conversion efficiency of the ZnO rod array photoelectrode with a seed layer of thickness 600 nm were 31.08%, 0.53 V, 5.53 mA/cm2, and 0.91%, respectively.
Han, Jeongsoo,Kwon, Minjee,Cha, Myeounghoon,Tanioka, Motomasa,Hong, Seong-Karp,Bai, Sun Joon,Lee, Bae Hwan Hindawi Publishing Corporation 2015 Neural plasticity Vol.2015 No.-
<P>The insular cortex (IC) is associated with important functions linked with pain and emotions. According to recent reports, neural plasticity in the brain including the IC can be induced by nerve injury and may contribute to chronic pain. Continuous active kinase, protein kinase M<I>ζ</I> (PKM<I>ζ</I>), has been known to maintain the long-term potentiation. This study was conducted to determine the role of PKM<I>ζ</I> in the IC, which may be involved in the modulation of neuropathic pain. Mechanical allodynia test and immunohistochemistry (IHC) of zif268, an activity-dependent transcription factor required for neuronal plasticity, were performed after nerve injury. After <I>ζ</I>-pseudosubstrate inhibitory peptide (ZIP, a selective inhibitor of PKM<I>ζ</I>) injection, mechanical allodynia test and immunoblotting of PKM<I>ζ</I>, phospho-PKM<I>ζ</I> (p-PKM<I>ζ</I>), and GluR1 and GluR2 were observed. IHC demonstrated that zif268 expression significantly increased in the IC after nerve injury. Mechanical allodynia was significantly decreased by ZIP microinjection into the IC. The analgesic effect lasted for 12 hours. Moreover, the levels of GluR1, GluR2, and p-PKM<I>ζ</I> were decreased after ZIP microinjection. These results suggest that peripheral nerve injury induces neural plasticity related to PKM<I>ζ</I> and that ZIP has potential applications for relieving chronic pain.</P>
딥러닝 기반 지하공동구 화재 탐지 모델 개발 : 학습데이터 보강 및 편향 최적화
김정수(Jeongsoo Kim),이찬우(Chan-Woo Lee),박승화(Seung-Hwa Park),이종현(Jong-Hyun Lee),홍창희(Chang-Hee Hong) 한국산학기술학회 2020 한국산학기술학회논문지 Vol.21 No.12
화재는 높은 비정형성으로 인해 딥러닝 모델을 이용한 영상인식 분야에서도 좋은 성능을 내기가 어려운 대상 중 하나이다. 특히 지하공동구 내 화재는 딥러닝 모델의 학습을 위한 화재 데이터 확보가 어렵고 열약한 영상 조건 및 화재로 오인할 수 있는 객체가 많아 화재 검출이 어렵고 성능이 낮다. 이러한 이유로 본 연구는 딥러닝 기반의 지하공동구 내 화재 탐지 모델을 제안하고, 제안된 모델의 성능을 평가하였다. 기존 합성곱 인공신경망에 GoogleNet의 Inception block과 ResNet의 skip connection을 조합하여 어두운 환경에서 발생되는 화재 탐지를 위한 모델 구조를 제안하였으며, 제안된 모델을 효과적으로 학습시키기 위한 방법도 함께 제시하였다. 제안된 방법의 효과를 평가하기 위해 학습 후 모델을 지하공동구 및 유사환경 조건의 화재 문제와 화재로 오인할 수 있는 객체를 포함한 이미지에 적용해 결과를 분석하였다. 또한 기존 딥러닝 기반 화재 탐지 모델의 정밀도, 검출률 지표와 비교함으로써 모델의 화재 탐지성능을 정량적으로 평가하였다. 제안된 모델의 결과는 어두운 환경에서 발생되는 화재 문제에 대해 높은 정밀도와 검출률을 나타내었으며, 유사 화재 객체에 대해 낮은 오탐 및 미탐 성능을 가지고 있음을 보여주었다. Fire is difficult to achieve good performance in image detection using deep learning because of its high irregularity. In particular, there is little data on fire detection in underground utility facilities, which have poor light conditions and many objects similar to fire. These make fire detection challenging and cause low performance of deep learning models. Therefore, this study proposed a fire detection model using deep learning and estimated the performance of the model. The proposed model was designed using a combination of a basic convolutional neural network, Inception block of GoogleNet, and Skip connection of ResNet to optimize the deep learning model for fire detection under underground utility facilities. In addition, a training technique for the model was proposed. To examine the effectiveness of the method, the trained model was applied to fire images, which included fire and non-fire (which can be misunderstood as a fire) objects under the underground facilities or similar conditions, and results were analyzed. Metrics, such as precision and recall from deep learning models of other studies, were compared with those of the proposed model to estimate the model performance qualitatively. The results showed that the proposed model has high precision and recall for fire detection under low light intensity and both low erroneous and missing detection capabilities for things similar to fire.
Neural Plasticity in the Insular Cortex Is Involved in Modulation of Somatosensory Hypersensitivity
( Minjee Kwon ),( Jeongsoo Han ),( Un Jeng Kim ),( Seong Karp Hong ),( Sun Joon Bai ),( Young Hee Sa ),( Bae Hwan Lee ) 한국감성과학회 2015 추계학술대회 Vol.2015 No.-
The insular cortex (IC) has recently been associated with chronic pain, but the underlying molecular mechanisms remain unclear. Because the IC was thought to store pain-related memories, determining the role that translational regulation plays in neuronal plasticity may identify novel targets for controlling chronic pain. The mammalian target of rapamycin (mTOR) is known to control mRNA translation and influence synaptic plasticity and dendritic growth. There have been many studies that have investigated mTOR signaling at the spinal level, but mTOR signaling in the IC in neuropathic pain remains unknown. Therefore, we investigated the role of mTOR signaling in the modulation of neuropathic pain and assessed the potential therapeutic effects of rapamycin, an inhibitor of the mTORC1, in the IC of neuropathic rats. Adult male Sprague-Dawley rats were used for neuropathic surgery, and the development of neuropathic pain was evaluated by measuring mechanical allodynia. Western blot analysis and microinjection of rapamycin into the IC were performed on post-operative day 3. Microinjection of rapamycin into the IC reduced mechanical allodynia and altered the activation of mTOR signaling, which is activated by nerve injury. These findings suggest that inhibition of supraspinal mTOR signaling may be a critical molecular mechanism that modulates neuropathic pain. Therefore, rapamycin may be a potential therapeutic agent for the treatment of chronic pain. This research was supported by the Basic Science Research Program through the National Research Foundation (NRF) funded by the Ministry of Science, ICT & Future Planning (No.2015021989).
포스터 전시회 : 규제기준에 따른 경유 중형트럭의 미량유해물질 배출특성 연구
홍희경 ( Heekyoung Hong ),정성운 ( Sungwoon Jung ),손지환 ( Jihwan Son ),이상은 ( Sangeun Lee ),문선희 ( Sunhee Moon ),성기재 ( Kijae Sung ),김정수 ( Jeongsoo Kim ),김정화 ( Jounghwa Kim ) 한국액체미립화학회 2015 한국액체미립화학회 학술강연회 논문집 Vol.2015 No.-
As pollutants have been diversified with the acceleration and enhancement of industrial development, an interest in the criteria air contaminants including nitrogen dioxide, sulfur dioxide and dust emitted from heating and industrial facilities, and vehicles has recently been expanded to hazardous air pollutants (HAPs). Although only trace amount of HAPs are released in vehicle exhaust emissions, they have toxic, carcinogenic, bio-accumulative, persisting and diffusing characteristics, and the direct and long-term exposure to them may lead to adverse effects in humans, animals and plants. Particularly, diesel vehicles emit more pollutants if they are lager and become battered. While the number of registered medium-duty trucks is relatively low compared to the overall registered vehicles, their ratio has been steadily increasing. This study was designed to investigate the emission characteristics of unregulated pollutants (Aldehyde and VOCs) as well as regulated pollutants (CO, HC, NOx and PM) from diesel medium-duty trucks. The emission characteristics of unregulated and regulated pollutants were assessed based on regulation standards (EURO 4 and EURO 5) and intake weight (2.5 ton and 5 ton). The results show that unregulated and regulated pollutants remained almost unchanged at higher speeds but decreased at below 23.5 km/h. Reduction in unregulated and regulated pollutants was noticeable in vehicles of recent regulation standards and light intake weight. The analysis of aldehyde using UPLC showed that formaldehyde and acetaldehyde of aldehyde were most dominant. The GC/MS analysis showed that benzene, toluene, ethylbenzene and xylene of VOCs were over 80% followed by toluene, xylene, ethylbenzene and benzene. The results of present study will be contributed to set up HAPs inventory.