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RISS 인기검색어
- 검색키워드
- 저자 : Zhibin Yao (검색결과 3 건)
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Efficient Bluetooth Video Transmission with Resource Manager
Yindi Yao,Hualian Tang,Zhibin Zeng 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.2
A scheme of wireless real video transmission with optimized Quality-of-service is proposed in this paper. It combines H.264 video compression technology with Bluetooth technology to reduce demand of bandwidth and power consumption. Resource manager (RM) is used to smooth video output traffic and to partially eliminate peak of video stream transmitted in Bluetooth channel. The RM monitors status of video transmitters, manipulates and coordinates the being encoded video, and adopts traffic credits to support real-time video services. Measured results show that a maximal speed of transmission can be achieved with a best suitable ACL packets type, rather than the maximum payload packet, according to SNR to achieve. The system can support real-time video transmission with good quality. And more, it can be realized easily in mobile application for its good transportability and robustness.
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Sun, Zhibin,Fan, Jiadong,Li, Haoyuan,Liu, Huajie,Nam, Daewoong,Kim, Chan,Kim, Yoonhee,Han, Yubo,Zhang, Jianhua,Yao, Shengkun,Park, Jaehyun,Kim, Sunam,Tono, Kensuke,Yabashi, Makina,Ishikawa, Tetsuya,So American Chemical Society 2018 ACS NANO Vol.12 No.8
<P>It has been proposed that the radiation damage to biological particles and soft condensed matter can be overcome by ultrafast and ultraintense X-ray free-electron lasers (FELs) with short pulse durations. The successful demonstration of the “diffraction-before-destruction” concept has made single-shot diffraction imaging a promising tool to achieve high resolutions under the native states of samples. However, the resolution is still limited because of the low signal-to-noise ratio, especially for biological specimens such as cells, viruses, and macromolecular particles. Here, we present a demonstration single-shot diffraction imaging experiment of DNA-based structures at SPring-8 Angstrom Compact Free Electron Laser (SACLA), Japan. Through quantitative analysis of the reconstructed images, the scattering abilities of gold and DNA were demonstrated. Suggestions for extracting valid DNA signals from noisy diffraction patterns were also explained and outlined. To sketch out the necessary experimental conditions for the 3D imaging of DNA origami or DNA macromolecular particles, we carried out numerical simulations with practical detector noise and experimental geometry using the Linac Coherent Light Source (LCLS) at the SLAC National Accelerator Laboratory, USA. The simulated results demonstrate that it is possible to capture images of DNA-based structures at high resolutions with the technique development of current and next-generation X-ray FEL facilities.</P> [FIG OMISSION]</BR>
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Wei Zhang,Xin Bi,Lei Hu,Pengxiang Li,Zhibin Yao 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.2
The sudden and harmful nature of rockbursts in tunnels necessitates an accurate and applicable method for automatically recognizing rock fracture signals during rockburst microseismic (MS) monitoring. In this paper, the performance and applicability of recognizing MS waveforms using an artificial neural network (ANN) and a deep neural network (DNN) were studied in tunnels excavated by different methods. The results show that ANN performs very well in recognizing rock fracturing waveforms with a signal-to-noise ratio (SNR) ≥ 3 but has a low accuracy for those with an SNR < 3. The DNN also performs well for waveforms with SNR ≥3, and has a relatively high accuracy for waveforms with SNR < 3. The ANN model can be used in tunnels excavated by drilling and blasting (D&B) since there are fewer “small” rock fracturing events. The DNN model is applicable in tunnels excavated by the tunnel boring machine (TBM), recognizing more “small” events. In addition, the ANN model is a better choice, with fewer training samples at the initial stage of monitoring working. With continuous monitoring, the DNN model can be used to ensure and improve the accuracy. These results lay a foundation for automatic rockburst MS monitoring techniques in tunnel engineering.
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