An increasingly large amount of texture features has been developed and used in combination with spectral features for classification problem. The question is how to select the combination/subset of texture features with spectral features best suited to a particular classification problem. In this paper, a modification of NarendraFukunaga algorithm ( 1977) is developed to select a global best subset of features. The computational aspect of the algorithm is discussed. The modified algorithm ensures to select a global best subset of features which was not identified by Narendra-Fukunaga algorithm. The experiment results also demonstrate that the modified algorithm is approximately 1 to 9 times more efficient in computational aspect than the Exhaustive Search method.

In the context of the volatile market economy, especially the increasing of competition, Marketing is considered as an indispensable tool in production and business activities, along with the strong development of technological techniques, the explosion of the Internet, Digital Marketing is becoming more and more developed. Nowadays, Digital Marketing is an effective advertising channel for businesses, including the application of SEM Marketing in small and medium enterprises (SMEs). Based on the analysis of 433 survey samples from SMEs in Hanoi, the research team gives an academic perspective on the factors affecting the application of SEM in SMEs in the area and propose recommendations towards improving the quality of SEM use in Hanoi in the coming time.

Gold (Au) and silver (Ag) nanoparticles were synthesized by laser ablation in water. The average sizes of Au and Ag nanoparticles are 18,4 nm and 21,8 nm respectively. ZnS:Mn2+ nanoparticles with average size of 3-5 nm were prepared by a co-precipitation method. The photoluminescence of ZnS:Mn2+solution in mixture with Au (Ag) nanoparticle colloids was investigated. The quenching effect on Mn2+ emission at 601 nm band were observed in the presence of the Au and Ag nanoparticles while the D-A emission at 445 nm band was enhanced and blue shifted by Au nanoparticles . The results and discussion are presented in this report.