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- 저자 : Shouming Wang (검색결과 3 건)
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The Complex Agent Artificial Social Network based on Sugarscape ─CASugarscape
Qunxiu Yu,Guihong Bi,Shouming Zhang,Chao Wang 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.9
We present an artificial social model of complex agent network, CASugarscape, to study the interaction between social network and social wealth. In the space of Sugarscape, agents survive by constantly looking for wealth within their own social circle taking their own field of vision as radius. However, agents survive by looking for wealth within the social network of friends who share wealth each other in the space of CASugarscape. In the proposed CASugarscape model, agents have different social radius based on social circle theory, which form acquaintance networks through social radius and build friendship networks through the rules of matching social wealth. Individual takes advantage of the distribution information of wealth, which comes from friend network, to look for wealth. The change of agents’ wealth distribution will affect their own acquaintance and friendship networks. Eventually it forms the social wealth and social network co-evolution mechanism. We analyze the impacts of different friend networks built through different rules of matching social wealth on social networks and social wealth distribution.
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Huilan Yang,Lan Shu,Shouming Zhong,Tao Zhan,Xin Wang 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.10
In this paper, we deal with the exponential pinning synchronization (PS) of stochastic T-S fuzzy delayed complex dynamical networks (FDCDNs) with heterogeneous impulsive delays. Unlike the existing works, a fuzzy memory pinning impulsive control (FMPIC) approach is proposed. In order to conquer the difficulties of studying such a general system, sufficient conditions that depend on the discrete-delay and distributed-delay impulsive effects are obtained by employing the Lyapunov function, inequality techniques and stochastic analysis theory. It is shownthat the PS of FDCDNs can be achieved under the designed FMPIC. Numerical simulation on the basis of BA scale-free coupled network is used to illustrate the effectiveness of the theoretical results.
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The FvCYP714C2 gene plays an important role in gibberellin synthesis in the woodland strawberry
Xiaofan Guo,Zhibing Xie,Yang Zhang,Shouming Wang 한국유전학회 2021 Genes & Genomics Vol.43 No.1
Background Fragaria vesca, the woodland strawberry, is a diploid relative of the cultivated strawberry. A GA-defcient mutant was found in ethyl methanesulfonate (EMS)-mutagenized lines of the Fragaria vesca accession ‘Yellow Wonder’. Objective CYP714C2 was found to be diferentially expressed using RNA-seq analysis. It is necessary to identify the function of this gene. Methods In order to identify the function of this gene, it was cloned and transformed into Arabidopsis thaliana. Results The DNA sequence of CYP714C2 was found to be 1940 bp in length, with an open reading frame (ORF) of 1539 bp that is predicted to encode a protein of 512 amino acids. The hydrophilicity of this protein is low and it is unstable. The highest relative expression of FvCYP714C2 was found in the leaves, followed by the pedicels, and low expression levels were found in the other tissues examined. Constitutive expression of FvCYP714C2 signifcantly promoted the growth of transgenic A. thaliana plants; transgenic Arabidopsis plants grew faster and grew well than wild type Col-0 plants. GA1+3 contents of the genetically modifed Arabidopsis lines were signifcantly higher than that in the wild type. Conclusion We conclude that FvCYP714C2 is a gene that functions in the gibberellin biosynthesis pathway in strawberry.
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