激光散斑干涉法测定干涉螺接孔边应力分布

本文提出一种测量孔边干涉螺接应力分布的新实验方法,用激光散斑干涉技术测量出由干涉螺接应力形成的孔周位移场分布,进而确定孔这应力分布,在保证测量精度同时,该方法体现出了简单,实用,有效等优点。     

间断Galerkin方法的最优误差限

本文考虑了数性双曲方程的离散Ｇａｌｅｒｋｉｎ方法。如果精确到光滑的并且同是几乎均匀的，证明了对于分层常数元的最优的和超收敛的误差限。     

正交试验法于优选白瓷坯料配方中的应用

对长石、石英、龙岩土、莱阳土４种因素各取４个水平，用正交表Ｌ１６（４５）安排１６个试验，分析了这１６个试验产品的吸水率、白度、热稳定性与每种因素各水平之间的关系．得出了白瓷坯料的最佳配方。其中，长石１９，石英２１，龙岩土２１．莱阳土０．     

天然调味料──酵母抽提物的研究进展

着重论述了酵母抽提物的特性、在食品中的应用前景、制造方法、工业化生产中存在的问题及其解决方法，并对酵母抽提物的发展方向作一展望。     

超声跟踪法制作误差对器件性能的影响及补偿

研究发现快模入射超声跟踪氧化碲器件的布喇格损耗频响对于参数误差十分敏感,因而制作误差可能对器件性能有较大影响。本文系统研究了这种影响及其补偿方法,结果表明,当相邻两换能片之间中心距S有5%的误差和声偏置角丫_0有10%的误差时,通过调整入射角θ_1可作出完全的补偿。     

上海市吴淞工业区大气PM2.5水溶成分的元素分析及细胞毒性研究

通过ICP-MS测定了上海市吴淞地区大气PM2.5水溶成分金属元素含量,通过四唑盐(MTT)测定细胞存活率,通过超氧化歧化酶(SOD)和丙二醛(MDA)两个指标测定细胞氧化损伤,琼脂糖凝胶电泳测定细胞内DNA损伤,流式细胞仪(Flow cytometry)检测细胞凋亡和周期等实验研究了大气PM2.5水溶成分的细胞毒性.实验结果表明:PM2.5可溶成分中Zn元素含量最高,PM2.5在一定浓度范围内能导致细胞死亡,引起细胞的氧化损伤,影响DNA的复制,阻碍细胞增殖,但没有诱导细胞凋亡.PM2.5中可溶金属离子对细胞毒性表现为联合作用.     

永久式防倒灌隔水采油工艺在长庆油田的应用

长庆油田存在严重的套管腐蚀损坏,采取的主要治理措施是隔水采油工艺技术。原有隔水采油工艺存在隔采周期短、检泵时水层倒灌污染油层、多次隔采后坐封难度大等问题,为此,试验应用了永久式防倒灌隔水采油工艺。现场试验、应用表明,该工艺具有隔采成功率高、隔采周期长等优点,能有效防止检泵时上部水层倒灌污染油层,具有很好的应用价值和推广前景。     

Numerical Simulation of Independent Advance of Ore Breaking in the Non-pillar Sublevel Caving Method

The mechanism of stress generation and propagation by detonation loading in five separate independent advance of ore breaking patterns is discussed in the paper. An elastic numerical model was developed using AN- SYS/LS-DYNA 3D Nonlinear Dynamic Finite Element Software. In this package ANSYS is the preprocessor and LS-DYNA is the postprocessor. Numerical models in the paper to actual were l：10 and the element mesh was dissected in scanning mode utilizing the symmetry characteristics of the numerical model. Five different advance rates were studied. Parameters, such as the time required to maximum stress, the action time of the available stress, the maximum velocity of the nodes, the stress penetration time, the magnitude of the stress peak and the time duration for high stress were numerically simulated. The 2.2 m advance appeared optimum from an analysis of the simulation results. The results from numerical simulation have been validated by tests with physical models.     

Ranking with uncertain labels and its applications

The techniques for image analysis and classification generally consider the image sample labels fixed and without uncertainties. The rank regression problem studied in this paper is based on the training samples with uncertain labels, which often is the case for the manual estimated image labels. A core ranking model is designed first as the bilinear fusing of multiple candidate kernels. Then, the parameters for feature selection and kernel selection are learned simultaneously by maximum a posteriori for given samples and uncertain labels. The provable convergency Expectation Maximization (EM) method is used for inferring these parameters in an iterative manner. The effectiveness of the proposed algorithm is finally validated by the extensive experiments on age ranking task and human tracking task. The popular FG-NET and the large scale Yamaha aging database are used for the age estimation experiments, and our algorithm outperforms those state-of-the-art algorithms ever reported by other interrelated literatures significantly. The experiment result of human tracking task also validates its advantage over conventional linear regression algorithm. A short version of this paper appeared in ICME07.