中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共6条，第1-6条

帮助

条数/页：排序方式：
	Digital vs traditional: the impact of different disaster knowledge promotion paths on farmers' disaster preparedness 期刊论文 OAI收割 JOURNAL OF CLEANER PRODUCTION, 2026, 卷号: 550, 页码: 11 作者: Zhang, Fengwan; Wang, Zhi; Liu, Shaoquan; Xu, Dingde \| 收藏 \| 浏览/下载：3/0 \| 提交时间：2026/04/20 Knowledge promotion Digitization Disaster preparedness behavior Propensity score matching Rural area
	A computerized craniofacial reconstruction method for an unidentified skull based on statistical shape models 期刊论文 OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 页码: 23 作者: Shui, Wuyang; Zhou, Mingquan; Maddock, Steve; Ji, Yuan; Deng, Qingqiong \| 收藏 \| 浏览/下载：77/0 \| 提交时间：2020/09/15 Computerized craniofacial reconstruction Skull digitization Skull registration Sex classification Facial shape editing
	The research on the automatic measurement of frequency characteristics of opto-electronic platform (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者: Liu H.; Liu H.; Chen J.; Liu H. 收藏 \| 浏览/下载：60/0 \| 提交时间：2013/03/25 A new frequency characteristic test method is proposed based on the digitization characteristics of optoelectronic platform servo system. First a digital processing controller is used to automatically test the entire process and tested data are uploaded to a PC through CAN-bus and then the tested data are transferred into accurate transfer function with the Levy method. Here we discuss the testing steps the data processing the extraction the Bode diagram plotting and the model identification in detail. The corresponding experiments are carried out and the results show that the method is simple with the features of high efficiency high precision and engineering feasibility. 2010 IEEE.
	Positional uncertainty of manual digitization vertex based on simulation test 会议论文 OAI收割 Geoinformatics 2008 and Joint Conference on GIS and Built Environment - Advanced Spatial Data Models and Analyses, Guangzhou, PEOPLES R CHINA, JUN 28-29, 2008 Wu, Huisheng; Liu, Zhaoli; Lin, Lifang 收藏 \| 浏览/下载：49/0 \| 提交时间：2011/07/20 Vertex Manual Digitization Turning Angle Positional Uncertainty Distribution Law
	Measuring the system gain of the TDI CCD remote sensing camera (EI CONFERENCE) 会议论文 OAI收割 Advanced Materials and Devices for Sensing and Imaging II, November 8, 2004 - November 10, 2004, Beijing, China Ya-xia L.; Hai-ming B.; Jie L.; Jin R.; Zhi-hang H. 收藏 \| 浏览/下载：90/0 \| 提交时间：2013/03/25 The gain of a TDI CCD camera is the conversion between the number of electrons recorded by the TDI CCD and the number of digital units (counts) contained in the CCD image"[1]. TDI CCD camera has been a main technical approach for meeting the requirements of high-resolution and lightweight of remote sensing equipment. It is useful to know this conversion for evaluating the performance of the TDI CCD camera. In general a lower gain is better. However the resulting slope is the gain of the TDI CCD. We did the experiments using the Integration Sphere in order to get a flat field effects. We calculated the gain of the four IT-EI-2048 TDI CCD. The results and figures of the four TDI CCD are given. this is only true as long as the total well depth (number of electrons that a pixel can hold) of the pixels can be represented. High gains result in higher digitization noise. System gains are designed to be a compromise between the extremes of high digitization noise and loss of well depth. In this paper the mathematical theory is given behind the gain calculation on a TDI CCD camera and shows how the mathematics suggests ways to measure the gain accurately according to the Axiom Tech. The gains were computed using the mean-variance method also known as the method of photon transfer curves. This method uses the effect of quantization on the variance in the measured counts over a uniformly illuminated patch of the detector. This derivation uses the concepts of signal and noise. A linear fit is done of variance vs. mean