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Internet of Things to network smart devices for ecosystem monitoring 期刊论文  OAI收割
SCIENCE BULLETIN, 2019, 卷号: 64, 期号: 17, 页码: 1234-1245
作者:  
Li, Xin;  Zhao, Ning;  Jin, Rui;  Liu, Shaomin;  Sun, Xiaomin
  |  收藏  |  浏览/下载:93/0  |  提交时间:2020/03/23
Internet of Things to network smart devices for ecosystem monitoring 期刊论文  OAI收割
SCIENCE BULLETIN, 2019, 卷号: 64, 期号: 17, 页码: 1234-1245
作者:  
Li, Xin;  Zhao, Ning;  Jin, Rui;  Liu, Shaomin;  Sun, Xiaomin
  |  收藏  |  浏览/下载:25/0  |  提交时间:2020/03/23
Flexible, controllable and angle-independent photoelectrochromic display enabled by smart sunlight management 期刊论文  OAI收割
NANO ENERGY, 2019, 卷号: 63, 页码: 8
作者:  
Xu, Zijie;  Li, Weifeng;  Huang, Jiani;  Guo, Xing;  Liu, Qian
  |  收藏  |  浏览/下载:20/0  |  提交时间:2021/02/02
Flexible, controllable and angle-independent photoelectrochromic display enabled by smart sunlight management 期刊论文  OAI收割
NANO ENERGY, 2019, 卷号: 63, 页码: 8
作者:  
Xu, Zijie;  Li, Weifeng;  Huang, Jiani;  Guo, Xing;  Liu, Qian
  |  收藏  |  浏览/下载:20/0  |  提交时间:2021/02/02
Internet of Things to network smart devices for ecosystem monitoring 期刊论文  OAI收割
SCIENCE BULLETIN, 2019, 卷号: 64, 期号: 17, 页码: 1234-1245
作者:  
Li, Xin;  Zhao, Ning;  Jin, Rui;  Liu, Shaomin;  Sun, Xiaomin
  |  收藏  |  浏览/下载:34/0  |  提交时间:2022/01/06
HTS Power Devices and Systems: Principles, Characteristics, Performance, and Efficiency 期刊论文  OAI收割
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2016, 卷号: 26, 期号: 7, 页码: 3800526
作者:  
Jin, Jian Xun;  Tang, Yue Jin;  Xiao, Xian Yong;  Du, Bo Xue;  Wang, Qiu Liang
收藏  |  浏览/下载:32/0  |  提交时间:2017/07/24
Emotion recognition based on customized smart bracelet with built-in accelerometer 期刊论文  OAI收割
PEERJ, 2016, 卷号: 4, 期号: e2258, 页码: 11
作者:  
Zhang, Zhan;  Song, Yufei;  Cui, Liqing;  Liu, Xiaoqian;  Zhu, Tingshao
收藏  |  浏览/下载:215/0  |  提交时间:2016/09/18
Real-time quality control on a smart camera (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Xiao C.; Zhou H.; Li G.; Hao Z.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
A smart camera is composed of a video sensing  high-level video processing  communication and other affiliations within a single device. Such cameras are very important devices in quality control systems. This paper presents a prototyping development of a smart camera for quality control. The smart camera is divided to four parts: a CMOS sensor  a digital signal processor (DSP)  a CPLD and a display device. In order to improving the processing speed  low-level and high-level video processing algorithms are discussed to the embedded DSP-based platforms. The algorithms can quickly and automatic detect productions' quality defaults. All algorithms are tested under a Matlab-based prototyping implementation and migrated to the smart camera. The smart camera prototype automatic processes the video data and streams the results of the video data to the display devices and control devices. Control signals are send to produce-line to adjust the producing state within the required real-time constrains.