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Li, Daming,Deng, Lianbing,Bhooshan Gupta, Brij,Wang, Haoxiang,Choi, Chang Elsevier science 2019 Information sciences Vol.479 No.-
<P><B>Abstract</B></P> <P>The rise of machine learning increases the current computing capabilities and paves the way to novel disruptive applications. In the current era of big data, the application of image retrieval technology for large-scale data is a popular research area. To ensure the robustness and security of digital image watermarking, we propose a novel algorithm using synergetic neural networks. The algorithm first processes a meaningful gray watermark image, then embeds it as a watermark signal into the block Discrete Cosine Transform (DCT) component. The companion algorithm for detection and extraction of the watermark uses a cooperative neural network, where the suspected watermark signal is used as the input while the output consists in the result of the recognition process. The simulation experiments show that the algorithm can complete certain image processing operations with improved performance, not only simultaneously completing watermark detection and extraction, but also efficiently determining the watermark attribution. Compared with other state-of-the-art models, the proposed model obtains an optimal Peak Signal-to-noise ratio (PSNR).</P>
Liqiang Zhong,Minghua Wang,Daming Li,Shengkai Tang,Tongqing Zhang,Wenji Bian,Xiaohui Chen 한국유전학회 2018 Genes & Genomics Vol.40 No.11
Freshwater gobies Rhinogobius cliffordpopei and R. giurinus are invasive species with particular concern because they have become dominant and were fierce competitors in the invaded areas in Yunnan-Guizhou Plateau (southwest of China). Information about genetic characteristics of R. giurinus have been published, but there were still no relevant reports about R. cliffordpopei. In present study, the complete mitochondrial genome of R. cliffordpopei was determined, which was 16,511 bp in length with A + T content of 51.1%, consisting of 13 protein-coding genes, 22 tRNAs, 2 ribosomal RNAs, and a control region. The gene composition and the structural arrangement of the R. cliffordpopei complete mtDNA were identical to most of other teleosts. Phylogenetic analyses placed R. cliffordpopei in a well-supported monophyletic cluster with other Rhinogobius fish. But the phylogenetic relationship between genus Rhinogobius and Tridentiger remained to be resolved.
Multi‑objective parameter optimization of multi‑shaft ring‑plate magnetic gear
Yanjun Ge,Dongning Liu,Junyue Yang,Daming Wang 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.3
Parameter setting and optimization are key steps to improving the transmission performance of eccentric permanent magnetgear. Studying this step makes it possible to analyze the transmission relationship between the design parameters, and improve both the operation stability and the carrying capacity of eccentric permanent magnet gear. Taking multi-shaft ring-plate magnet gear (MRMG) as the research object, this paper analyzes the influence of actual structural parameters on torque performance through the comprehensive sensitivity method, and selects the parameters with the greatest influence as the main optimization parameters. Then using the BSO algorithm and the BP neural network, a prediction model of MRMG electromagnetic torque and torque density is established, the relationship between each of the parameters is analyzed, and the optimization parameter points are determined. By comparison with finite element simulations and experiments, the built model and its measured results and FEM analysis are shown to have good accuracy (error < 6%). Moreover, the model can quickly and accurately obtain optimization parameters, and greatly improve the transmission performance of the structure (the maximum torque increases by 15%, and the torque density increases by 36%).
( Zhang Yankui ),( Xu Haiyun ),( Ba Bin ),( Zong Rong ),( Wang Daming ),( Li Xiangzhi ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.5
The existing direct position determinations(DPD) for coherently distributed(CD) sources are mostly applicable for uniform linear array(ULA), which result in a low degree of freedom(DOF), and it is difficult for them to realize the effective positioning in underdetermined condition. In this paper, a novel DPD algorithm for coherently distributed sources based on compressed sensing with a moving nested array is present. In this algorithm, the nested array is introduced to DPD firstly, and a positioning model of signal moving station based on nested array is constructed. Owing to the features of coherently distributed sources, the cost function of compressed sensing is established based on vectorization. For the sake of convenience, unconstrained transformation and convex transformation of cost functions are carried out. Finally, the position coordinates of the distribution source signals are obtained according to the theory of optimization. At the same time, the complexity is analyzed, and the simulation results show that, in comparison with two-step positioning algorithms and subspace-based algorithms, the proposed algorithm effectively solves the positioning problem in underdetermined condition with the same physical element number.