单缝衍射法测量金属棒杨氏模量的实验研究

介绍了一个用单缝衍射法测量金属棒杨氏模量的综合性实验, 实验中对测量金属棒杨氏模量的传统实 验装置进行了改进, 用单缝衍射法测量微小变化长度, 从而提高了实验的测量精度, 降低了实验误差     

用全息干涉法测量杨氏模量

通过对悬臂梁受力前后双曝光全息图进行再现，测量出干涉条纹序数与相对应的位置坐标，再利用最小二乘法求杨氏模量．     

葡萄糖溶液近红外光谱的测量与分析

葡萄糖是人身体中的重要组成物质，其浓度的高低对身体的健康有着重大影响。本文在实验测量的基础之上，经过分析，在近红外光谱区找到了随葡萄糖浓度变化而变化的区域，并运用PLS法（Partial Least-Square，偏最小二乘法）在该区域内对葡萄糖溶液进行定标，取得了较好的结果。     

电子逸出功测定实验中不等精度测量数据的最小二乘法拟合

金属电子逸出功测定实验中的阳极电流与阳极电压、发射电流与灯丝温度的关系都是非线性的。经对数变换线性化后,这些数据都是不等精度的。本文讨论了对这些不等精度测量数据的最小二乘法处理并比较了两种拟合数据的方法。     

用光电传感器测量电机转速

基于传感器的转速测量方法较多,总体分为模拟式和数字式两种.本文重点研究数字式测量方法.针对光电传感器的原理进行简单介绍,并说明它是如何对电机转速进行测量的.通过实验得到的结果进行了数据分析,用最小二乘法拟合出了线性表达式.     

交流电感电桥法线胀系数测量实验仪

将微小位移量转换成交流电桥中双线圈的电感变化量,利用交流电桥的高灵敏度实现了微小位移量的精确电测.采用传感器、单片机及多个PTC电加热器对样品棒进行均匀控温,同时安装散热风扇可使测试装置迅速降温.实验中增加了交流电桥调节、磁芯位移量与输出电压信号定标、最小二乘法数据处理等内容.将交流电桥与固体线胀系数测量2个基础实验结...     

低能区强耦合常数的测量

强耦合常数,α_s(s)是量子色动力学最重要的参数. 基于BES的R值测量结果, 分别利用精确到3圈和4圈的微扰QCD的计算, 测定了α_s(s)在2.0—3.7GeV能量范围的数值, 并推断了α_s(s)演化到Z⁰能标下的值α_s(M_z). 同时对在未来实验中R值测量精度的提高对α_s(s)的不确定性的减小作了定量的预言.     

基于深度学习的微电流测量

在微电流测量中,抑制噪声干扰是重点问题。针对目前消除噪声干扰多集中在装置设计阶段,提出一种借助深度学习技术在数据处理阶段消除噪声干扰的测量方法。以微电流测量装置的输出电压值和计量所高精度万用表的微电流相对真值构成数据样本,选用Tensorflow实验平台,利用1500个数据样本训练“最优神经网络”以对微电流值进行预测,并利用剩余的27个样本检验。实验结果表明,较传统最小二乘法解得的“最佳函数”,深度学习方法能较好消除噪声干扰,平均相对误差更小、预测精度更高。     

基于Matlab的金属丝杨氏模量测量的数据处理

运用Matlab语言编写程序,用于大学物理实验金属丝杨氏模量的数据处理与作图,计算结果与所作图形均与传统的最小二乘法进行数据处理结果相吻合,且具有简洁、快捷与直观等特点,所作图形避免了人为因素所造成的误差。     

自适应光学系统变形镜控制电压预测

在校正大气湍流畸变波前相差的自适应光学系统中,利用基于Levenberg-Marquardt学习算法的非线性反向传播神经网络技术（LMBP）对变形镜控制电压进行预测。以对受横向风影响的大气湍流畸变波前斜率数据为研究对象,通过数值仿真方法,研究了基于LMBP算法的自适应光学系统变形镜电压非线性预测控制算法。通过实验发现,预测电压和变形镜实际控制电压拟合效果良好。讨论了回溯帧数对预测效果的影响,并与基于递推最小二乘（RLS）算法的线性预测算法进行比较。对比结果表明,基于LMBP算法的非线性电压预测方法比基于递推最小二乘法的线性电压预测方法能更有效地降低系统由伺服延迟引起的误差。

     

HIRFL-CSR complex

The construction and commissioning of HIRFL-CSR were finished in 2007. From 2000 to 2005 the subsystem and key devices of CSR were successfully fabricated, such as magnet, power supply, UHV system, e-cooler, electric-static deflector with the septum of 0.1 mm, and the fast-pulse kicker with the rise time of 150 ns. After that the CSR commissioning activities were performed in 2006 and 2007, including the accumulation of those heavy ions of C, At, Kr and Xe by the combination of stripping injection (STI) or multiple multi-turn injection (MMI) and e-cooling with a hollow e-beam, wide energy-range synchrotron ramping by changing the RF harmonic-number at mid-energy, the beam stacking in the experimental ring CSRe, the RIBs mass-measurement with the isochronous-mode in CSRe by using the time-of-flight method, and the ion beam slow-extraction from CSRm.     

HIRFL-CSR complex

The construction and commissioning of HIRFL-CSR were finished in 2007. From 2000 to 2005 the subsystem and key devices of CSR were successfully fabricated, such as magnet, power supply, UHV system, e-cooler, electric-static deflector with the septum of 0.1 mm, and the fast-pulse kicker with the rise time of 150 ns. After that the CSR commissioning activities were performed in 2006 and 2007, including the accumulation of those heavy ions of C, Ar, Kr and Xe by the combination of stripping injection （STI） or multiple multi-turn injection （MMI） and e-cooling with a hollow e-beam, wide energy-range synchrotron ramping by changing the RF harmonic-number at mid-energy, the beam stacking in the experimental ring CSRe, the RIBs mass-measurement with the isochronous-mode in CSRe by using the time-of-flight method, and the ion beam slow-extraction from CSRm.     

HIRFL-CSR commissioning in 2006 and 2007

HIRFL-CSR, a new heavy ion cooler-storage-ring system at IMP, had been in commissioning since the beginning of 2006. In the two years of 2006 and 2007 the CSR commissioning was finished, including the stripping injection (STI), electron-cooling with hollow electron beam, C-beam stacking with the combination of STI and e-cooling, the wide energy-range synchrotron ramping from 7 MeV/u to 1000 MeV/u by changing the RF harmonic-number at mid-energy, the multiple multi-turn injection (MMI), the beam accumulation with MMI and e-cooling for heavy-ion beams of Ar, Kr and Xe, the fast extraction from CSRm and single-turn injection to CSRe, beam stacking in CSRe and the RIBs mass-spectrometer test with the isochronous mode in CSRe by using the time-of-flight method.     

HIRFL-CSR commissioning in 2006 and 2007

HIRFL-CSR, a new heavy ion cooler-storage-ring system at IMP, had been in commissioning since the beginning of 2006. In the two years of 2006 and 2007 the CSR commissioning was finished, including the stripping injection (STI), electron-cooling with hollow electron beam, C-beam stacking with the combination of STI and e-cooling, the wide energy-range synchrotron ramping from 7 MeV/u to 1000 MeV/u by changing the RF harmonic-number at mid-energy, the multiple multi-turn injection (MMI), the beam accumulation with MMI and e-cooling for heavy-ion beams of Ar, Kr and Xe, the fast extraction from CSRm and single-turn injection to CSRe, beam stacking in CSRe and the RIBs mass-spectrometer test with the isochronous mode in CSRe by using the time-of-flight method.     

溶解氧浓度的神经网络控制研究

污水生化处理过程常常受到入水流量水质变化而处于动态过程, 溶解氧浓度作为系统运行过程的一个关键变量, 采用经典的PI控制器难以保证良好的控制效果. 针对污水处理过程的溶解氧浓度控制问题, 提出了基于单神经元自适应PID算法和基于RBF神经网络两种控制器. 在国际基准Benchmark Simulation Model No.1 (BSM1)的仿真平台上进行仿真实验, 与经典PI控制器的运行结果对比, 表明了在所提出的两种控制器作用下, 溶解氧浓度具有更好的跟踪给定值能力, 控制系统具有更好的综合性能指标值.     

基于模糊聚类算法的工控网络控制故障检测方法研究

针对传统大型工控网络控制故障检测过程中,没有考虑故障延时特性,从而导致的故障信号检测准确率下降,检测效率降低。为此,提出一种基于模糊算法的大型工控网络控制故障检测方法。引入模糊算法,对大型工控网络控制中的故障信号延迟进行模糊化建模,通过随机时延切换设计故障观测参数和故障观测参数的残差对大型工控网络控制系统进行故障检测,克服信号延迟弊端。实验结果表明,利用本文方法进行大型工控网络控制系统故障检测,能够有效提高故障的准确率,效果令人满意。     

兰州重离子加速器冷却存储环慢引出控制系统

兰州重离子加速器冷却存储环为了进行深层重离子治疗肿瘤的实验,需要长时间、均匀地慢引出束流至高能束运线,以满足深层重离子治疗肿瘤的束流要求。慢引出控制系统采用加速器控制系统的同步时间信号来进行同步控制以实现整个过程控制;当加速器控制系统的同步事例的同步触发信号进行触发控制以及数据切换（频率值、tune值、电压幅值）,波形发生器通过这三个数据信息产生相应的波形及进行放大器放大并控制静电偏转板以实现束流RF-KO方式慢引出。慢引出控制系统的同步事例接收器主要由FPGA与光纤接口组成,实现同步事例的高速稳定传输与强抗干扰性。深层重离子治疗肿瘤的正常运行以及冷却存储环已实现104 s超长周期的慢引出实验表明,慢引出控制系统能实现实验束流需求的慢引出。     

Minimum energy control and optimal-satisfactory control of Boolean control network

In the literatures, to transfer the Boolean control network from the initial state to the desired state, the expenditure of energy has been rarely considered. Motivated by this, this Letter investigates the minimum energy control and optimal-satisfactory control of Boolean control network. Based on the semi-tensor product of matrices and Floyd?s algorithm, minimum energy, constrained minimum energy and optimal-satisfactory control design for Boolean control network are given respectively. A numerical example is presented to illustrate the efficiency of the obtained results.     

Vibration frequencies using least squares and neural networks for 50 new s and p electron diatomics

Least-squares forecasts for vibration frequencies of diatomic molecules, most with 10–12 valence electrons, are combined with those obtained from neural networks, both trained on critical data. It is required that the standard deviation bounds of the one prediction lie within the bounds of the other; this requirement results in 69 molecules, 50 of which may not have been studied before. The composite standard deviations of the composite predictions average 5.9%, so there is a 68% chance that each of these 50 predictions will prove to be within 5.9% of its ultimately correct value. As a test, 28 literature values, for 12 of the molecules, were found; of these 28 values, 78.6% fall between the lower and upper composite standard deviation limits.     

混沌的模糊神经网络逆系统控制

提出用Sugeno型的模糊推理神经网络建立混沌系统的逆系统模型,并采用逆系统方法进行混沌的控制.这种方法的特点是可以不必建立混沌系统的解析模型,通过模糊神经网络学习混沌系统的运动规律,通过学习获得的规律对混沌进行有效的控制,并且该控制方法可以控制混沌系统以一定精度跟踪连续变化的给定信号.理论分析及针对虫口模型和Henon模型仿真研究证明了该方法的有效性 关键词： 混沌 模糊神经网络 逆系统控制