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Articles by Min Wang
Total Records ( 8 ) for Min Wang
  Min Wang
  Biomaterial and scaffold development underpins the advancement of tissue engineering. Traditional scaffolds based on biodegradable polymers such as poly(lactic acid) and poly(lactic acid-co-glycolic acid) are weak and non-osteoconductive. For bone tissue engineering, polymer-based composite scaffolds containing bioceramics such as hydroxyapatite can be produced and used. The bioceramics can be either incorporated in the scaffolds as a dispersed secondary phase or form a thin coating on the pore surface of polymer scaffolds. This bioceramic phase renders the scaffolds bioactive and also strengthens the scaffolds. There are a number of methods that can be used to produce bioceramic-polymer composite scaffolds. This paper gives an overview of our efforts in developing composite scaffolds for bone tissue engineering.
  Min Wang , Guiqing Gao and Jun Shi
  In this study, laboratory-scale ultrasonication (20 to 200 kHz) was conducted on Microcystis aeruginosa and Anabaena flos-aquae to investigate the effect of this procedure on algal cell structure, apoptosis and necrosis of cells, release of microcystin and ultrasonication efficiency. The morphological changes were observed using a transmission electron microscope. Cell status was examined using flow cytometry. After ultrasonication, changes in cell organelles included ribosome and thylakoid disorganization, cytoplasmic vacuolation, nucleoplasm diffusion and plasmolysis. Moreover, the increased apoptosis was determined to be related to the ultrasonication of the cells.
  Xiangjin Zeng , Xinhan Huang and Min Wang
  In micromanipulation, the microscope vision servoing can achieve a high performance. In order to avoid the complicated calibration of intrinsic parameter of camera, We apply an improved broyden`s method to estimate the image jacobian matrix on line, which employs Chebyshev polynomial to construct a cost function to approximate the optimization value, obtaining a fast convergence for online estimation. Using the estimated jacobian matrix, a PD visual controller is used to make features converge to desired values with satisfactory dynamic performance. The experiments of micro-assembly of micro parts in microscopes confirm that the proposed method is effective and feasible.
  Jian Gao , Xinhan Huang , Min Wang and Xinde Li
  Several neutrosophic combination rules based on the Dempster-Shafer theory (DST) and Dezert-Smarandache theory (DSmT) are presented in this study. The new information fusing approaches proposed the neutrosophic belief assignment to represent the evidences and connect the DST and DSmT with neutrosophic theory. Neutrosophic theory used the components truth, indeterminacy and falsity to represent any idea, which provides a better approach to express the real world. The DST-based and DSmT-based combination rules can fuse information more effectively. The new combination rules utilized the advantages of DST, DSmT and neutrosophic theory. They are more adapted to describing the human mind and helping to make correct decisions. To fuse the information expressed in natural language, the qualitative neutrosophic combination rules of information have been proposed in this study too. Some application examples have been given to support the proposed combination rules. Compared with the original DST-based and DSmT-based combination rules, the neutrosophic combination rules can provide more useful information and have wider application field.
  Wei Wang , Xin-Han Huang and Min Wang
  Out-of-sequence-measurements problem tend to arise in multi-sensors target tracking, due to communication delays and varying signal pre-processing time. A number of studies have addressed the processing of out-of-sequence-measurements when the target dynamics and measurement models are linear or nonlinear. To solve this problem more effectively, a novel out of sequence measurement processing algorithm is developed and presented in this study. It based on sequential Bayesian formula and Gaussian particle filter. In essence, this algorithm uses importance sampling to update the posterior means and their covariances and also approximates the posterior distributes by single Gaussians. Both theoretical analysis and simulation results show that it has low complexity, its performance is consistent with standard sequential processing algorithm and it is asymptotically optimal as numbers of particles tends to infinity.
  Xiangjin Zeng , Xinhan Huang and Min Wang
  In order to identify multi micro objects, an improved support vector machine algorithm is present, which employs invariant moments based edge extraction to obtain feature attribute and then presents a heuristic attribute reduction algorithm based on rough set`s discernibility matrix to obtain attribute reduction, with using support vector machine to identify and classify the targets. According to the feature attribute, the effectiveness of identifying multi micro objects using support vector machine is compared with the proposed improved support vector machine classification method. The experiment results under micro vision environment show that the proposed improved support vector machine classification method can meet the system application requirement, with the resolution is 95%.
  Min Wang , Boyang Cao , Qunfang Yu , Lei Liu , Qili Gao , Lei Wang and Lu Feng
  The 16S-23S rRNA gene internal transcribed spacer (ITS) regions of Klebsiella spp., including Klebsiella pneumoniae subsp. pneumoniae, Klebsiella pneumoniae subsp. ozaenae, Klebsiella pneumoniae subsp. rhinoscleromatis, Klebsiella oxytoca, Klebsiella planticola, Klebsiella terrigena, and Klebsiella ornithinolytica, were characterized, and the feasibility of using ITS sequences to discriminate Klebsiella species and subspecies was explored. A total of 336 ITS sequences from 21 representative strains and 11 clinical isolates of Klebsiella were sequenced and analyzed. Three distinct ITS types—ITSnone (without tRNA genes), ITSglu [with a tRNAGlu (UUC) gene], and ITSile+ala [with tRNAIle (GAU) and tRNAAla (UGC) genes]—were detected in all species except for K. pneumoniae subsp. rhinoscleromatis, which has only ITSglu and ITSile+ala. The presence of ITSnone in Enterobacteriaceae had never been reported before. Both the length and the sequence of each ITS type are highly conserved within the species, with identity levels from 0.961 to 1.000 for ITSnone, from 0.967 to 1.000 for ITSglu, and from 0.968 to 1.000 for ITSile+ala. Interspecies sequence identities range from 0.775 to 0.989 for ITSnone, from 0.798 to 0.997 for ITSglu, and from 0.712 to 0.985 for ITSile+ala. Regions with significant interspecies variations but low intraspecies polymorphisms were identified; these may be targeted in the design of probes for the identification of Klebsiella to the species level. Phylogenetic analysis based on ITS regions reveals the relationships among Klebsiella species similarly to that based on 16S rRNA genes.
  ShuyuanYang , Min Wang and Licheng Jiao
  Contourlet is a “true” two-dimensional transform that captures the intrinsic geometrical structure and have been shown to be successful for many tasks in image processing. In this paper, a wavelet-based contourlet packet (WBCP) transform is investigated and an adaptive contourlet packet (ACP) transform based on genetic algorithm (GA) is proposed to extract the features of radar targets in synthetic aperture radar (SAR) images recognition. The features of the sampled targets are subsequently used to train a radical basis function neural network (RBFNN) that is then able to quickly and reliably recognize the objects. In comparison with WBCP, our proposed ACP has relatively low computational complexity and high recognition rate. Finally, we show some numerical experiments demonstrating the potential of this method for target recognition in SAR image processing.
 
 
 
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