Solder joint inspection based on neural network combined with genetic algorithm

To improve the performance of automatic optical inspection (AOI), a neural network combined with genetic algorithm for the diagnosis of solder joint defects on printed circuit boards (PCBs) assembled in surface mounting technology (SMT) is presented. Six types of solder joint have been classified in respect to the reality in the manufacture. The images of solder joint under test are acquired and 14 features are extracted as input features for the classification. The neural network is easily become over-fitting because these input features are not independent of each other, so the genetic algorithm is introduced to select and remove redundant input features. The experimental results have proved that the neural network combined with genetic algorithm reduced the number of input feature and had a satisfying recognition rate.     

Investigations on the EPR parameters and tetragonal distortions for Cu2+ in alkali lead tetraborate glasses

The electron paramagnetic resonance parameters (g factors and hyperfine structure constants) and local structures are theoretically investigated for Cu²⁺ in alkali lead tetraborate 90R₂B₄O₇·9PbO·CuO (R = Li, Na and K) glasses based on the high-order perturbation calculations for a tetragonally elongated octahedral 3d⁹ complex. The [CuO₆]^10? complexes are found to experience the relative tetragonal elongation ratios 18%, 23% and 30% for R = Li, Na and K, respectively, due to the Jahn–Teller effect, much larger than those for similar ARbB₄O₇ (A = Li, Na and K) glasses. This point is attributed to the lattice expansion (longer A–O bond lengths) with doped PbO, yielding lower force constants and more intense Jahn–Teller elongations in the 90R₂B₄O₇·9PbO·CuO glasses. The increasing tendency (Li > Na > K) of the relative elongation ratio λ, covalency and the ratio Δg_///Δg_⊥ for g-shifts are systematically analysed in a uniform way.     

钯催化重氮化合物反应的研究进展

重氮化合物在过渡金属催化剂作用下的分解以及后续反应在有机合成上得到了非常广泛的应用. 综述了近年来钯催化重氮化合物反应的研究进展, 主要包括环丙烷化反应、聚合反应、插入反应、交叉偶联反应及其机理的探讨.     

Vapour Phase Hydrogenation of Cinnamaldehyde over Nano Ni and Ni/SiMCM‐41 Catalysts

Ni nanoparticles (Ni(1) and Ni(2)) and Ni loaded SiMCM‐41 (15Ni/SiMCM‐41) were prepared and characterized with XRD, TEM, N₂ adsorption, CO chemisorption, and H₂‐TPR. The Ni specific surface area followed the order of 15Ni/SiMCM‐41 > Ni(1) >> Ni(2), whereas the Ni particle size exhibited the opposite trend. These catalysts were utilized for vapour phase hydrogenation of cinnamaldehyde at 1 atm and 200 °C in a fixed‐bed, down flow reactor. The main products include hydrocinnamaldehyde, styrene, ethylbenzene, and 2‐phenyl‐1‐propanol. The catalytic activity decreased in the same order as that of Ni specific surface areas. The SiMCM‐41 support possessed very large surface area, leading to enhanced dispersion and specific surface area of Ni nanoparticles. As a result, the 15Ni/SiMCM‐41 catalyst exhibited the highest activity. Based on the investigation of reaction pathways, it is important to emphasize that both hydrogenation and hydroelimination of formaldehyde (hydrodeformylation) occur in the vapour phase reaction.     

One-pot synthesis of (Z)-4-(2-bromovinyl)benezenesulfonamides by microwave-induced simultaneous debrominative decarboxylation and sulfamation of anti-2,3-dibromo-3-(4-hlorosulfonylphenyl)propanoic acid

One-pot simultaneous debrominative decarboxylation and sulfamation of anti-2,3-dibromo-3-(4-chlorosulfonylphenyl)propanoic acid in DMF (for alkyl amines) or DMF-pyridine (for aryl amines) using a diverse range of alkyl and aryl amines under microwave irradiation condition stereoselectively afforded (Z)-4-(2-bromovinyl)benzenesulfonamides in good yields.     

多电荷离子与C,Ne和Ar原子碰撞中K壳层电子俘获截面的计算

本文提出了一种计算多电荷离子与原子碰撞中K壳层电子俘获截面的新方法,称为模型势Oppenheimer-Brinkman-Krammer近似(MPOBK)。在该方法中我们用模型势来描述K电子所处的有效场,同时在波函数中考虑屏蔽效应。我们得到的K壳层总俘获截面是一个表解析达式。对H~ 、He~(2 )-Ne,H~ 、He~(2 )-C及O~(5 ,6 )-Ar体系的计算表明本文结果较好地与实验数据一致。     

A_p权反向Holder不等式的注记

本文指出［１］中关于Ａｐ权反向Ｈｏｌｄｅｒ不等式的证明有误并给出一个正确的证明。