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	A Trustworthiness Sequence Prediction Scheme Based on Neural Networks and Mathematical Calculations 期刊论文 OAI收割 IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: 11, 期号: 12, 页码: 22643-22655 作者: Li, Xuefei; Wang, Qi; Li, Ru \| 收藏 \| 浏览/下载：5/0 \| 提交时间：2024/12/06 IoT mathematical calculation neural network trust management trustworthiness prediction trustworthiness evaluation
	A measuring method of effects of herbs based on classification used for intelligent calculation of efficacies of prescriptions 期刊论文 OAI收割 SCIENCE CHINA-INFORMATION SCIENCES, 2010, 卷号: 53, 期号: 10, 页码: 2047-2061 作者: Gao QuanQuan; Ren TingGe \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2018/07/30 intelligent calculation mathematical modeling measuring method efficacies of prescriptions
	Models for calculating phreatic evaporation from bare soil in Tarim Basin 期刊论文 OAI收割 Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2009, 卷号: 25, 期号: 1, 页码: 27-32 Zhang; Hu; Zhai; Shen; Yongming1; Shunjun2; Luxin3; Bing1 收藏 \| 浏览/下载：26/0 \| 提交时间：2011/08/19 Vapors - Computer simulation - Evaporation - Geologic models - Groundwater - Groundwater resources - Hydrogeology - Mathematical models - Underground reservoirs - Bare lands - Bare soils - Calculation accuracies - Calculation models - Empirical formulas - Evaporation capacities - Experimental datum - Experimental stations - Ground water tables - Phreatic - Tarim Basin - Test results - Water balances - Water surfaces
	Optimization procedure for design of heliostat field layout of a 1MWe solar tower thermal power plant (EI CONFERENCE) 会议论文 OAI收割 Solid State Lighting and Solar Energy Technologies, November 12, 2007 - November 14, 2007, Beijing, China 作者: Zhang H.; Zhang H. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 A procedure for designing and optimizing heliostat field layout of solar tower thermal power plant is developed. The ray tracing is used for the calculation of the optical efficiency of field. The mathematical theory of the calculation is derived. The parametric search algorithm which allows variation of the field parameters within a specified range is used for the optimization of field. The field layout is made automatically according to the no-blocking loss condition and the heliostats are located at the positions where the annual incident cosine value is higher. In this way the blocking and cosine losses are lowered. Because the optimization of the distance between fore-and-aft two rows of heliostat is avoided the computer time is reduced effectively. Using this procedure the heliostat field of a 1MWe solar tower power plant was designed. Four modes of layout including North-South cornfield North-South stagger Radial cornfield and Radial stagger were experimented and optimized respectively. The comparison of the field efficiency for the four optimized results was made. It is concluded that the North-South cornfield layout is the optimal decision for the 1MWe solar tower power plant.
	Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wu Y.-H. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1 2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak and it reduces processing time. Since the technique proposed uses all the image information including all the white noise in the image especially and it's hard to overcome the aliasing from noises but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.
	A new algorithm of image segmentation for overlapping grain image (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Zhang X.; Zhang X.; Zhang X. 收藏 \| 浏览/下载：17/0 \| 提交时间：2013/03/25 Image segmentation is primary issue in image processing at the same time it is principal problem in low level vision in computer vision field. It is the key technology to process image analysis image comprehend and image depict successfully. Aim at measurement of granularity size of nonmetal grain a new algorithm of image segmentation and parameters calculation for overlapping grain image is studied. The hypostasis of this algorithm is present some new attributes of graph sequence from discrete attribute of graph consequently achieve that pick up the geometrical characteristics from input graph and new graph sequence which in favor of image segmentation is recombined. The conception that image edge denoted with "twin-point" is put forward base on geometrical characters of point image edge is transformed into serial edge and on recombined serial image edge based on direction vector definition of line and some additional restricted conditions the segmentation twin-points are searched with thus image segmentation is accomplished. Serial image edge is transformed into twin-point pattern to realize calculation of area and granularity size of nonmetal grain. The inkling and uncertainty on selection of structure element which base on mathematical morphology are avoided in this algorithm and image segmentation and parameters calculation are realized without changing grain's self statistical characters.
	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：62/0 \| 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