At present,the process of digital image information fusion has the problems of low data cleaning unaccuracy and more repeated data omission,resulting in the unideal information fusion.In this regard,a visualized multi...At present,the process of digital image information fusion has the problems of low data cleaning unaccuracy and more repeated data omission,resulting in the unideal information fusion.In this regard,a visualized multicomponent information fusion method for big data based on radar map is proposed in this paper.The data model of perceptual digital image is constructed by using the linear regression analysis method.The ID tag of the collected image data as Transactin Identification(TID)is compared.If the TID of two data is the same,the repeated data detection is carried out.After the test,the data set is processed many times in accordance with the method process to improve the precision of data cleaning and reduce the omission.Based on the radar images,hierarchical visualization of processed multi-level information fusion is realized.The experiments show that the method can clean the redundant data accurately and achieve the efficient fusion of multi-level information of big data in the digital image.展开更多
Aryloxy--terminated polydimethylsiloxanes (AOS) were synthesized by the telomerization of hexamethylcyclotrisiloxane(D3) with phenols. The structures of AOS were characterized by UV, IR, 2HNMR and elemental analysis, ...Aryloxy--terminated polydimethylsiloxanes (AOS) were synthesized by the telomerization of hexamethylcyclotrisiloxane(D3) with phenols. The structures of AOS were characterized by UV, IR, 2HNMR and elemental analysis, The effects of the reaction conditions and the mole ratios of the reactants on foe molecular weight of the polymer were discussed. A OS's structural influence on bactericidal action, flocculation and hydrolysis was studied.展开更多
基金2018 National Grade Innovation and Entrepreneurship Training Program for College Students,China(No.201811562005)Research Project of Gansu University,China(No.2016A-105)Innovation and Entrepreneurship Education Project of Gansu Province in 2019,China(No.2019024)。
文摘At present,the process of digital image information fusion has the problems of low data cleaning unaccuracy and more repeated data omission,resulting in the unideal information fusion.In this regard,a visualized multicomponent information fusion method for big data based on radar map is proposed in this paper.The data model of perceptual digital image is constructed by using the linear regression analysis method.The ID tag of the collected image data as Transactin Identification(TID)is compared.If the TID of two data is the same,the repeated data detection is carried out.After the test,the data set is processed many times in accordance with the method process to improve the precision of data cleaning and reduce the omission.Based on the radar images,hierarchical visualization of processed multi-level information fusion is realized.The experiments show that the method can clean the redundant data accurately and achieve the efficient fusion of multi-level information of big data in the digital image.
文摘Aryloxy--terminated polydimethylsiloxanes (AOS) were synthesized by the telomerization of hexamethylcyclotrisiloxane(D3) with phenols. The structures of AOS were characterized by UV, IR, 2HNMR and elemental analysis, The effects of the reaction conditions and the mole ratios of the reactants on foe molecular weight of the polymer were discussed. A OS's structural influence on bactericidal action, flocculation and hydrolysis was studied.
