Successful design of orthogonal polyphase code sets is one of crucial for implementing Multiple Input Multiple Output (MIMO) radar and orthogonal Netted radar systems (ONRS). A genetic algorithm (GA) is presented to numerically optimize orthogonal code sets design. The simulation results show that the proposed algorithm are feasible and effective for the design of polyphase code sets used in MIMO radar and ONRS radar. Computational results are compared with Simulated Annealing (SA). In some cases, GA outperforms SA.
Pathological examination is the gold standard for breast cancer diagnosis. The recognition of histopathological images of breast cancer has attracted a lot of attention in the field of medical image processing. In this paper, on the base of the Bioimaging 2015 dataset, a two-stage nuclei segmentation strategy, that is, a method of watershed segmentation based on histopathological images after stain separation, is proposed to make the dataset recognized to be the carcinoma and non-carcinoma recognition. Firstly, stain separation is performed on breast cancer histopathological images. Then the marker-based watershed segmentation method is used for images obtained from stain separation to achieve the nuclei segmentation target. Next, the completed local binary pattern is used to extract texture features from the nuclei regions (images after nuclei segmentation), and color features were extracted by using the color auto-correlation method on the stain-separated images. Finally, the two kinds of features were fused and the support vector machine was used for carcinoma and non-carcinoma recognition. The experimental results show that the two-stage nuclei segmentation strategy proposed in this paper has significant advantages in the recognition of carcinoma and non-carcinoma on breast cancer histopathological images, and the recognition accuracy arrives at 91.67%. The proposed method is also applied to the ICIAR 2018 dataset to realize the automatic recognition of carcinoma and non-carcinoma, and the recognition accuracy arrives at 92.50%.
The title compound, [Cd(C8H4O4)(C12H8N2)(H2O)]n, is a new coordination polymer of benzene-1,4-dicarboxylate with cadmium(II) and 1,10-phenanthroline. The CdII ion is coordinated by two N atoms from the 1,10-phenanthroline molecule, three O atoms from two crystallographically independent benzene-1,4-dicarboxylate ligands and the O atom of a coordinated water molecule, forming a heavily distorted octahedron. The 1,10-phenanthroline ligand is approximately planar within 0.073 (4) Å. The two different benzene-1,4-dicarboxylate ligands each coordinate to two CdII ions in bidentate and monodentate modes, forming an infinite zigzag chain. Adjacent chains are packed tightly by strong π–π interactions [centroid–centroid distances = 3.851 (2) and 3.859 (2) Å] between the aromatic rings of the benzene-1,4-dicarboxylate ligand and the 1,10-phenanthroline of a neighboring chain, forming a sheet parallel to (011). Different sheets are linked together via O—H⋯O hydrogen bonds between the coordinated water molecules and the O atoms of the carboxylate groups, forming a three-dimensional network.
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