基于相似测度算法的激光诱导薄膜损伤表面特征研究

鉴于薄膜激光损伤性能评价是增强抗激光红外观察窗口性能的重要保证,给出薄膜在脉冲激光诱导作用下的损伤表面特性及其机理。实验采用YAG脉冲激光器对TiO2薄膜样片进行1-on-1方式的激光诱导。通过CCD采集TiO2薄膜激光辐照前后2幅图像,将这2幅图像进行匹配,建立差异图像测度算法;实验得出TiO2薄膜样片的差异能量测度可判别出损伤情况,即测度值M＜0.1为未发生损伤,0.1＜M＜0.2为轻度损伤,0.2＜M＜0.5为中度损伤,M＞0.5为严重损伤。薄膜样片经过能量密度为0.5 J/cm2的激光辐照后粗糙度明显增大。研究结果表明,采用激光辐照前后图像匹配的测试方法可实现薄膜激光损伤与否的判别。     

玉米作物多光谱图像精准分割与叶绿素诊断方法研究

为了快速获取大田玉米作物长势信息, 基于多光谱图像开展了大田玉米叶绿素指标的非破坏性诊断研究。应用自主开发的2-CCD多光谱图像感知系统, 在田间采集玉米冠层可见光［Blue(B), Green(G), Red(R);400～700 nm］和近红外(Near-infrared: NIR, 760～1 000 nm)图像, 并使用SPAD同步测量样本叶绿素指标。采集后图像经自适应平滑滤波处理后, 进行图像玉米植株提取。为了选择最优算法实现玉米植株与杂草、土壤背景的分割, 首先比较了最大类间方差(OTSU)分割算法和局部阈值处理分割算法, 选取了基于局部统计的可变阈值处理方法对玉米NIR图像进行初步分割, 进而采用区域标记算法进行精细分割, 分割准确率达95.59%。将分割结果应用于玉米植株可见光图像R, G, B各通道, 从而实现了玉米植株多光谱图像中可见光图像的整体分割。基于分割后R, G, B和NIR四个通道的玉米冠层图像, 提取了各通道图像灰度均值(ANIR, ARed, AGreen和ABlue)并计算了归一化植被指数(NDVI)、比值植被指数(RVI)和绿色归一化植被指数(NDGI)作为光谱特征参数, 建立了玉米冠层叶绿素指标诊断的偏最小二乘法回归模型。结果表明, 建模R2达0.596 0, 预测R2达0.568 5, 该方法通过玉米多光谱图像特征参数评估叶片叶绿素含量, 可为大田玉米长势监测提供支持。     

Role of compositional changes on thermal,magnetic, and mechanical properties of Fe-P-C-based amorphous alloys

This work aimed to tune the comprehensive properties of Fe-P-C-based amorphous system through investigating the role of microalloying process on the crystallization behavior,glass forming ability(GFA),soft magnetic features,and mechanical properties.Considering minor addition of elements into the system,it was found that the simultaneous microalloying of Ni and Co leads to the highest GFA,which was due to the optimization of compositional heterogeneity and creation of near-eutectic composition.Moreover,the FeCoNiCuPC amorphous alloy exhibited the best anelastic/viscoplastic behavior under the nanoindentation test,which was owing to the intensified structural fluctuations in the system.However,the improved plasticity by the extra Cu addition comes at the expense of magnetic properties,so that the saturation magnetization of this alloying system is significantly decreased compared to the FeCoPC amorphous alloy with the highest soft magnetic properties.In total,the results indicated that a combination of added elemental constitutes,i.e.,Fe69Co5Ni5Cu1P13C7 composition,provides an optimized state for the comprehensive properties in the alloying system.     

Hyperparameter on-line learning of stochastic resonance based threshold networks

Aiming at training the feed-forward threshold neural network consisting of nondifferentiable activation functions, the approach of noise injection forms a stochastic resonance based threshold network that can be optimized by various gradient-based optimizers. The introduction of injected noise extends the noise level into the parameter space of the designed threshold network, but leads to a highly non-convex optimization landscape of the loss function. Thus, the hyperparameter on-line learning procedure with respective to network weights and noise levels becomes of challenge. It is shown that the Adam optimizer, as an adaptive variant of stochastic gradient descent, manifests its superior learning ability in training the stochastic resonance based threshold network effectively. Experimental results demonstrate the significant improvement of performance of the designed threshold network trained by the Adam optimizer for function approximation and image classification.     

铷蒸气激光器3D理论模型的建立及阈值特性模拟

基于三能级速率方程理论,结合惠更斯-菲涅尔衍射积分公式,利用分步光束传播方法建立了半导体泵浦碱金属蒸气激光器(DPAL)端面泵浦3D理论计算模型,用于模拟研究铷蒸气激光器的泵浦阈值特性。该模型将光束传播、光与物质相互作用独立考虑,利用迭代算法求解。考虑激光器腔内模式与泵浦光模式匹配对阈值特性的影响,模拟了单端泵浦铷蒸气激光器内部的三维动力学过程。在具体算例中研究了模式匹配最佳时,在阈值工作状态下铷蒸气室中的三维粒子数分布,以及沿不同轴线的增益分布。仿真了在最佳模式匹配位置附近,泵浦光模式变化对阈值特性的影响。根据蒸气池中粒子数分布和光场分布具体分析了模式匹配影响阈值特性的机理。同时还模拟了不同长度蒸气池对阈值特性的影响。结果表明,腔参数与泵浦光模式之间存在一定的关系,对于特定的泵浦光模式,存在恰当的腔参数,使得阈值达到最小。     

J/ψ衰变中f0(975)的实验研究

本文基于北京正负电子对撞机(BEPC)上北京谱仪(BES)所收集到的国家自然科学基金资助.7.8×10⁶J/ψ事例,系统研究了J/ψ→φπ⁺π^－和J/ψ→ωπ⁺π^－两个衰变道,给出了过程的分支比以及f₀的位置和宽度参数,并对J/ψ→φf₀,f₀→π⁺π^－过程的角分布进行了拟合,首次确定出该过程的螺旋度振幅比.     

激光防护器材和抗激光损伤薄膜

介绍激光防护滤光片、激光辐射屏蔽和抗激光损伤的光学薄膜的发展情况。     

新型激光玻璃饱和通量的实验研究

 以Frantz-Nodvik公式为基础,用平均通量法,通过测量以一种新型激光玻璃为增益介质的放大器的小信号增益及其输入、输出通量,得出了该激光玻璃在短脉冲下的饱和通量值。同时通过对测试数据的分析,得出了输出通量与饱和通量的经验关系式。     

Ytterbium-doped Fiber Amplifiers:Selection of Pump Wavelength

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抗混叠轮廓波域采用压缩感知的云图融合方法

提出一种采用压缩感知的云图融合方法.该方法针对传统轮廓波存在频谱混叠的缺点,结合抗混叠塔式滤波器组和方向滤波器组,构造出一种抗混叠的轮廓波变换,并将其引入压缩感知中的稀疏表示环节,将云图分解成稠密和稀疏两部分|对稠密成份采用传统方法进行融合,而对稀疏成份,则在压缩感知框架下,通过少数线性测量的融合,并采用二步迭代收缩的图像重构算法,在迭代时利用前面两个估计值更新当前值,得到融合结果.实验表明,该方法的融合结果无论在视觉质量及定量指标上都明显优于传统方法,有利于揭示全面的天气信息.