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	The Forward Physics Facility at the High-Luminosity LHC 期刊论文 OAI收割 JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS, 2023, 卷号: 50, 期号: 3, 页码: 30501 作者: Feng, Jonathan L.; Kling, Felix; Reno, Mary Hall; Rojo, Juan; Soldin, Dennis \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2023/12/07 PROTON-PROTON COLLISIONS DEUTERON STRUCTURE FUNCTIONS HIGH-ENERGY FACTORIZATION LEFT-RIGHT SYMMETRY JET CROSS-SECTIONS STRONG CP PROBLEM DYNAMICAL PARTON DISTRIBUTIONS NUCLEON STRUCTURE FUNCTIONS ANOMALOUS MAGNETIC-MOMENT MODEL-INDEPENDENT BOUNDS
	Novel loop-diagrammatic approach to QCD θ parameter and application to the left-right model 期刊论文 OAI收割 JOURNAL OF HIGH ENERGY PHYSICS, 2023, 期号: 3 作者: Hisano, Junji; Kitahara, Teppei; Osamura, Naohiro; Yamada, Atsuyuki \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2024/03/19 ELECTRIC-DIPOLE MOMENT STRONG-CP PROBLEM STRONG P MASS RENORMALIZATION VIOLATION SYMMETRY NEUTRON
	Decoding algorithm as a moment problem related to the extended Lotka-Volterra system 期刊论文 OAI收割 JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2020, 卷号: 53, 期号: 5, 页码: 28 作者: Pan, Yan; Chang, Xiang-Ke; Hu, Xing-Biao \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2020/05/24 BCH-Goppa code extended Lotka-Volterra lattice moment problem
	Decoding algorithm as a moment problem related to the extended Lotka–Volterra system 期刊论文 OAI收割 Journal of Physics A: Mathematical and Theoretical, 2020, 卷号: 53, 期号: 5 作者: Pan,Yan; Chang,Xiang-Ke; Hu,Xing-Biao \| 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/03/10 BCH-Goppa code extended Lotka–Volterra lattice moment problem
	The study of mapping relation of aeroplane complex motion and image movement and compensation technique (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China Wei Z.; Wang Y.-Y.; Xue W.-Q.; Dai M. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion attitude changes and the relative motion of the camera and aircraft firstly we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values the geometrical relationship between the camera and the aircraft is acquired then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that making use of geometrical relationship we can calculate the displacement variation of pixels within the camera exposure time. Thereafter taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system. 2010 IEEE.
	An efficient gradient method for maximum entropy regularizing retrieval of atmospheric aerosol particle size distribution function 期刊论文 OAI收割 JOURNAL OF AEROSOL SCIENCE, 2008, 卷号: 39, 期号: 4, 页码: 305-322 作者: Wang, Yanfei \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/09/26 aerosol particle size distribution moment problem inversion maximum entropy regularization gradient method
	An efficient gradient method for maximum entropy regularizing retrieval of atmospheric aerosol particle size distribution function 期刊论文 OAI收割 JOURNAL OF AEROSOL SCIENCE, 2008, 卷号: 39, 期号: 4, 页码: 305-322 作者: Wang, Yanfei \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/09/26 aerosol particle size distribution moment problem inversion maximum entropy regularization gradient method
	An object recognition method based on fuzzy theory and BP networks (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Chuan W.; Ming Z.; Dong Y. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 It is difficult to choose eigenvectors when neural network recognizes object. It is possible that the different object eigenvectors is similar or the same object eigenvectors is different under scaling shifting rotation if eigenvectors can not be chosen appropriately. In order to solve this problem the image is edged the membership function is reconstructed and a new threshold segmentation method based on fuzzy theory is proposed to get the binary image. Moment invariant of binary image is extracted and normalized. Some time moment invariant is too small to calculate effectively so logarithm of moment invariant is taken as input eigenvectors of BP network. The experimental results demonstrate that the proposed approach could recognize the object effectively correctly and quickly.
	The Nevanlinna-Pick interpolation problems and power moment problems for matrix-valued functions 期刊论文 OAI收割 LINEAR ALGEBRA AND ITS APPLICATIONS, 1999, 卷号: 288, 期号: 1-3, 页码: 123-148 作者: Chen, GN; Li, XQ \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2018/07/30 Nevanlinna-Pick interpolation problem power moment problem Nevanlinna class Stieltjes class Block Hankel vector Stieltjes moment problem