In view of two fundamental reasons, face recognition system has gotten consideration in the research. The primary reason is the extensive variety of business and law enforcement applications and second reason is concerned with the accessibility of the attainable advancements. The combination of PCA-SVM (Principal Component Analysis and Support Vector Machine) and PCA-ANN (Principal Component analysis and Artificial Neural Network) techniques for face recognition system have been easily found in recent years. Some researchers came up to improve PCA-SVM and PCA-ANN combinations. This paper gives state-of-the-art audits of these blends and tries to clarify the reason that why PCA is utilized with numerous classifiers and which one combination is ideal to use in future.

In view of the high water cut, effect of strong anisotropy, low water drive spread coefficient and injected water channeling of M block in A oil field, some research on the technology of M block air foam profile control was done. On the basis of 3D geological model, method of numerical simulation and controlling variate method and input-output ratio used as an economic evaluation index were chosen to optimize the injection parameters affecting the effect of profile control. The research showed that, air foam profile control technology can significantly improve the output of M block. On the same time, to M block in A oil field, the optimal injection parameters for injection were: the foaming agent volume was 0.5PV, the foaming agent injection rate was 13m3/d, foaming agent concentration was 0.3%, the foaming agent injection cycle was 25d, gas injection rate was 40m3/d, gas-liquid ratio was 3:1.

In this study, the manufactured Ni alloy was tested on how much it had corrosion resistance against Zn fume when it was used in the hot dip galvanizing equipment in the steel plant. Two kinds of materials currently used in the equipment, SM45C(steel for mechanical structure, KS) and Inconel(typical corrosion-resistant Ni alloy), were selected as the reference groups. Two alloys of Ni-28Cr-4Mo-2Ti and Ni-20Cr-10Mo-1Ti were designed and the same heat treatment as Inconel 625 was conducted for a proper comparison. Zn fume was generated by bubbling Ar gas from molten Zn in the furnace and the samples were analyzed after 10, 20 and 30 days. According to the result of XRD and Potentiodynamic polarization test, it was confirmed that ZnO was formed on the entire metal surface, which resulted in the change of corrosion resistance on the samples. Especially the newly designed alloy out of samples showed the most excellent corrosion resistance for the high temperature in the trial for 30 days.

The anthocyanin of lycium ruthenicum was extracted using ionic liquid combined with microwave. The effects of ionic liquid species, ionic liquid concentration, microwave power and extraction time on the anthocyanin yield of lycium ruthenicum were investigated. The results showed that the application of ionic liquid-based microwave-assisted extraction might effectively increase the extraction rate of anthocyanin of lycium ruthenicum. The most suitable conditions were 1.0 mol∕L of [Bmim]Br and 210 W of microwave power for 12 seconds with the sample to solvent ratio of 1:30. Under the best condition, the anthocyanin yield of lycium ruthenicum was 2.92mg/g.