Based on the geometrical relation between the relative pole and the rotationangles of links in the four-bar linkage, a third order algebraic equation withsingle variable for the closed form solution of planar function...Based on the geometrical relation between the relative pole and the rotationangles of links in the four-bar linkage, a third order algebraic equation withsingle variable for the closed form solution of planar function generators hasbeen derived by using computer symbolic manipulating technique. The newlydeveloped solution method eliminates the requirement of solving system ofnoulinear equations. All solutions of the problem can be obtained directly andeasily without the need of initial values. A numerical example is givendemonstratiap the efficiency and the advantages of this method.展开更多
就Bethuel,Brezis和Helein提出的问题讨论了Planar Ferromagnets and Antiferromagnets泛函在H={u(x)=(sinf(r)|xx|,cosf(r))∈H1(B1,S2);f(0)=0,f(1)=2π,r=|x|}中的径向极小元的一些性质,其中包括此泛函的径向极小元的零点的分布及若...就Bethuel,Brezis和Helein提出的问题讨论了Planar Ferromagnets and Antiferromagnets泛函在H={u(x)=(sinf(r)|xx|,cosf(r))∈H1(B1,S2);f(0)=0,f(1)=2π,r=|x|}中的径向极小元的一些性质,其中包括此泛函的径向极小元的零点的分布及若干个上界估计,并给出了这一问题的肯定回答.展开更多
针对在阵列孔径、阵元数目、最小阵元间距等多约束条件下的稀布矩形平面阵列天线优化问题,提出了基于改进型灰狼优化(improved grey wolf optimizer,IGWO)算法和窗函数加权的稀布矩形平面阵列天线综合方法。首先,利用Tent混沌映射、非...针对在阵列孔径、阵元数目、最小阵元间距等多约束条件下的稀布矩形平面阵列天线优化问题,提出了基于改进型灰狼优化(improved grey wolf optimizer,IGWO)算法和窗函数加权的稀布矩形平面阵列天线综合方法。首先,利用Tent混沌映射、非线性收敛因子、优势狼动态置信策略和对立学习策略对灰狼优化(grey wolf optimizer,GWO)算法进行改进,增加算法的种群多样性和跳出局部最优的能力。然后,利用窗函数对阵列单元进行加权,生成位置分布矩阵,减少稀疏矩阵优化时间,提高优化效率。最后,利用位置分布矩阵生成稀疏阵列,再运用IGWO算法进行多约束条件的稀布优化。为验证所提方法的有效性进行了仿真实验,实验结果表明,本文方法可以有效提高阵列天线的性能,降低峰值旁瓣电平,对于解决在多约束条件下的阵列分布问题,具有一定的工程意义和参考价值。展开更多
We propose a novel and efficient multi-functional optical fiber sensor system based on a dense wavelength division multiplexer(DWDM).This system consists of an optical fiber temperature sensor, an optical fiber strain...We propose a novel and efficient multi-functional optical fiber sensor system based on a dense wavelength division multiplexer(DWDM).This system consists of an optical fiber temperature sensor, an optical fiber strain sensor, and a 48-channel DWDM.This system can monitor temperature and strain changes at the same time.The ranges of these two sensors are from-20℃ to 100℃ and from-1000 με to 2000 με, respectively.The sensitivities of the temperature sensor and strain sensor are 0.03572 nm/℃ and 0.03808 nm/N, respectively.With the aid of a broadband source and spectrometer,different kinds and ranges of parameters in the environment can be monitored by using suitable sensors.展开更多
文摘Based on the geometrical relation between the relative pole and the rotationangles of links in the four-bar linkage, a third order algebraic equation withsingle variable for the closed form solution of planar function generators hasbeen derived by using computer symbolic manipulating technique. The newlydeveloped solution method eliminates the requirement of solving system ofnoulinear equations. All solutions of the problem can be obtained directly andeasily without the need of initial values. A numerical example is givendemonstratiap the efficiency and the advantages of this method.
文摘就Bethuel,Brezis和Helein提出的问题讨论了Planar Ferromagnets and Antiferromagnets泛函在H={u(x)=(sinf(r)|xx|,cosf(r))∈H1(B1,S2);f(0)=0,f(1)=2π,r=|x|}中的径向极小元的一些性质,其中包括此泛函的径向极小元的零点的分布及若干个上界估计,并给出了这一问题的肯定回答.
文摘针对在阵列孔径、阵元数目、最小阵元间距等多约束条件下的稀布矩形平面阵列天线优化问题,提出了基于改进型灰狼优化(improved grey wolf optimizer,IGWO)算法和窗函数加权的稀布矩形平面阵列天线综合方法。首先,利用Tent混沌映射、非线性收敛因子、优势狼动态置信策略和对立学习策略对灰狼优化(grey wolf optimizer,GWO)算法进行改进,增加算法的种群多样性和跳出局部最优的能力。然后,利用窗函数对阵列单元进行加权,生成位置分布矩阵,减少稀疏矩阵优化时间,提高优化效率。最后,利用位置分布矩阵生成稀疏阵列,再运用IGWO算法进行多约束条件的稀布优化。为验证所提方法的有效性进行了仿真实验,实验结果表明,本文方法可以有效提高阵列天线的性能,降低峰值旁瓣电平,对于解决在多约束条件下的阵列分布问题,具有一定的工程意义和参考价值。
基金Project supported by the National Key Research and Development Program of China(Grant No.2016YFB0402504)the National Natural Science Foundation of China(Grant Nos.61875069 and 61575076)+1 种基金Hong Kong Scholars Program,China(Grant No.XJ2016026)the Science and Technology Development Plan of Jilin Province,China(Grant Nos.20190302010GX and 20160520091JH)
文摘We propose a novel and efficient multi-functional optical fiber sensor system based on a dense wavelength division multiplexer(DWDM).This system consists of an optical fiber temperature sensor, an optical fiber strain sensor, and a 48-channel DWDM.This system can monitor temperature and strain changes at the same time.The ranges of these two sensors are from-20℃ to 100℃ and from-1000 με to 2000 με, respectively.The sensitivities of the temperature sensor and strain sensor are 0.03572 nm/℃ and 0.03808 nm/N, respectively.With the aid of a broadband source and spectrometer,different kinds and ranges of parameters in the environment can be monitored by using suitable sensors.
文摘为了解决基于区域的平面物体跟踪方法容易陷入局部最优的问题,提出一种基于快速顶点漂移的平面物体跟踪方法.首先,构造包含不同尺度下的图像和物体区域采样点集合的金字塔结构;其次,在不同尺度下使用快速顶点漂移方法,利用全局的相似性度量函数迭代求解最优的顶点偏移,得到跟踪结果.在平面物体跟踪数据集POT上的实验结果表明,该方法在不同场景下平均跟踪准确率可达49.65%,平均高出其他参与测试的基于区域的方法31.87个百分点,平均每帧跟踪时间为0.12 s.
