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RISS 인기검색어
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- 저자 : Yanfen Li (검색결과 5 건)
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Li Yuqi,Sun Meizhou,Li Yuanfei,Cheng Yanfen,Zhu Weiyun 아세아·태평양축산학회 2020 Animal Bioscience Vol.33 No.12
Objective: The purpose of this study was to reveal the metabolic shift in the fungus co-cultured with the methanogen (Methanobrevibacter thaueri). Methods: Gas chromatography-mass spectrometry was used to investigate the metabolites in anaerobic fungal (Pecoramyces sp. F1) cells and the supernatant. Results: A total of 104 and 102 metabolites were detected in the fungal cells and the supernatant, respectively. The partial least squares-discriminant analysis showed that the metabolite profiles in both the fungal cell and the supernatant were distinctly shifted when co-cultured with methanogen. Statistically, 16 and 30 metabolites were significantly (p<0.05) affected in the fungal cell and the supernatant, respectively by the co-cultured methanogen. Metabolic pathway analysis showed that co-culturing with methanogen reduced the production of lactate from pyruvate in the cytosol and increased metabolism in the hydrogenosomes of the anaerobic fungus. Citrate was accumulated in the cytosol of the fungus co-cultured with the methanogen. Conclusion: The co-culture of the anaerobic fungus and the methanogen is a good model for studying the microbial interaction between H2-producing and H2-utilizing microorganisms. However, metabolism in hydrogenosome needs to be further studied to gain better insight in the hydrogen transfer among microorganisms.
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( Haiwei Zuo ),( Yanjing Sun ),( Changlin Lin ),( Song Li ),( Hongli Xu ),( Zefu Tan ),( Yanfen Wang ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.7
In-band Full-duplex (IBFD) wireless communication allows improved throughput for wireless networks. The current Half-duplex (HD) medium access mechanism Request to Send/Clear to Send (RTS/CTS) has been directly applied to IBFD wireless networks. However, this is only able to support a symmetric dual link, and does not provide the full advantages of IBFD. To increase network throughput in a superior way to the HD mechanism, a novel three-way handshaking access mechanism RTS/SRTS (Second Request to Send)/CTS is proposed for point to multipoint (PMP) IBFD wireless networks, which can support both symmetric dual link and asymmetric dual link communication. In this approach, IBFD wireless communication only requires one channel access for two-way simultaneous packet transmissions. We first describe the RTS/SRTS/CTS mechanism and the symmetric/asymmetric dual link transmission procedure and then provide a theoretical analysis of network throughput and delay using a Markov model. Using simulations, we demonstrate that the RTS/SRTS/CTS access mechanism shows improved performance relative to that of the RTS/CTS HD access mechanism.
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환경변화에 강인한 딥러닝 기반의 터널 균열 측정 및 진단
L. Minh Dang,Chanmi Oh,Yanfen Li,Hanxiang Wang,Chang-Jae Chun,Hyeonjoon Moon 한국차세대컴퓨팅학회 2022 한국차세대컴퓨팅학회 학술대회 Vol.2022 No.05
A tunnel is an essential public facility that enables uninterrupted transportation in crowded cities. Over time, various factors such as ageing and harsh environment could slowly damage the tunnel, leading to cracks and even human loss. There, the tunnel needs to be investigated regularly. Previous maintenance methods have primarily counted on the operators who directly monitor recorded videos to inspect the cracks and determine their seriousness. However, this is a time-consuming and error-prone process. Firstly, this paper introduces a huge tunnel cracks segmentation dataset that contains a total of 170,339 images. Next, a tunnel crack segmentation system that can automatically identify different types of cracks is suggested based on the collected data. The model uses the U-Net structure as the baseline model, with the encoder replaced by a pre-trained Resnet-152 model to improve the effectiveness of the feature extract process. Finally, additional measurements of the detected cracks, such as crack length and crack thickness, are computed.
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Wenqi Zhang,L. Minh Dang,Yanfen Li,Hanxiang Wang,Sujin Lee,Hyeonjoon Moon 한국방송·미디어공학회 2023 한국방송공학회 학술발표대회 논문집 Vol.2023 No.6
The dimensions of plants, including their length and width, as well as the size of their leaves, serve as crucial indicators for assessing their growth status. These factors provide essential data for studying plant conditions. This article introduces an algorithm for instance segmentation based on Solo, with the addition of a residual block module to enhance segmentation performance. The original rectified linear unit (ReLU) activation function is replaced with a functional ReLU (PReLU), and an open turnip segmentation dataset is proposed. Experimental results demonstrate that, in comparison to the original model, the average accuracy of the modified model reaches 87.6%, an improvement of approximately 2.0%. The improved algorithm accurately segments turnips and their leaves, exhibiting superior accuracy in measuring both turnip and leaf dimensions. Compared to manual measurements, the average accuracy for turnip length is 97.38%, turnip width is 95.46%, turnip leaf length is 97.79%, and turnip leaf width is 96.13%.
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남준영(Junyoung Nam),이혜민(Christine Lee),Asif Ashraf Patankar,Hanxiang Wang,Yanfen Li,문현준(Hyeonjoon Moon) 한국방송·미디어공학회 2019 한국방송공학회 학술발표대회 논문집 Vol.2019 No.11
도시화 과정에서 도시의 생활폐기물 문제가 빠르게 증가되고 있고, 효과적이지 못한 생활폐기물 관리는 도시의 오염을 악화시키고 물리적인 환경오염과 경제적인 부분에서 극심한 문제들을 야기시킬 수 있다. 게다가 부피가 커서 관리하기 힘든 대형 생활폐기물들이 증가하여 도시 발전에도 방해가 된다. 생활폐기물을 처리하는데 있어 대형 생활폐기물 품목에 대해서는 요금을 청구하여 처리한다. 다양한 유형의 대형 생활폐기물을 수동으로 분류하는 것은 시간과 비용이 많이 든다. 그 결과 대형 생활폐기물을 자동으로 분류하는 시스템을 도입하는 것이 중요하다. 본 논문에서는 대형 생활폐기물 분류를 위한 시스템을 제안하며, 이 논문의 4 가지로 분류된다. 1) 높은 정확도와 강 분류(roust classification) 수행에 적합한 Convolution Neural Network(CNN) 모델 중 VGG-19, Inception-V3, ResNet50 의 정확도와 속도를 비교한다. 제안된 20 개의 클래스의 대형 생활폐기물의 데이터 셋(data set)에 대해 가장 높은 분류의 정확도는 86.19%이다. 2) 불균형 데이터 문제를 처리하기 Class Weight VGG-19(CW-VGG-19)와 Extreme Gradient Boosting VGG-19 두 가지 방법을 사용하였다. 3) 20 개의 클래스를 포함하는 데이터 셋을 수동으로 수집 및 검증하였으며 각 클래스의 컬러 이미지 수는 500 개 이상이다. 4) 딥 러닝(Deep Learning) 기반 모바일 애플리케이션을 개발하였다.
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