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28 results on '"Wang, Mengbin"'

6. Spatial patterns and influencing factors of financial agglomeration in Guangdong-Hong Kong-Macao Greater Bay Area

Author

Wei, Yujun, Wang, Mengbin, Wei, Xiaokun, Yuan, Fan, Fan, Jie, Ba, Shusong, Wei, Yujun, Wang, Mengbin, Wei, Xiaokun, Yuan, Fan, Fan, Jie, and Ba, Shusong

Abstract

The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) represents a significant economic zone with a diverse financial landscape. Understanding the spatial distribution of financial resources within this area is crucial for promoting balanced economic growth and financial development. This study investigates the spatial patterns of financial agglomeration in the GBA, identifying key influencing factors and assessing their impact on the region’s financial landscape. We employ the entropy value method to evaluate financial agglomeration levels across the GBA’s cities. Additionally, we use spatial econometric techniques to analyze the spatial correlations and the Geo-Detector model to determine the primary factors influencing financial agglomeration. The analysis reveals an overall increase in financial agglomeration, with significant disparities among cities. Key factors driving this agglomeration include transportation infrastructure, overseas trade, foreign direct investment (FDI), and technological advancements. Hong Kong and Shenzhen display notable unevenness in the distribution of financial industries. The interplay between finance, technology, and industrial sectors suggests considerable development potential. Understanding and optimizing the spatial distribution of financial resources is essential for fostering high-quality financial development and sustainable economic growth in the GBA. This study provides insights that can inform policy decisions aimed at enhancing financial integration and cooperation within the region.

Published
2024

12. Direct Estimation of Fault Tolerance of Feedforward Neural Networks in Pattern Recognition

Author

Jiang, Huilan, Liu, Tangsheng, Wang, Mengbin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, King, Irwin, editor, Wang, Jun, editor, Chan, Lai-Wan, editor, and Wang, DeLiang, editor

Published
2006
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16. Pillararene-Based Variable Stoichiometry Co-Crystallization: A Versatile Approach to Diversified Solid-State Superstructures

Author

Li, Ming, Liu, Yang, Shao, Li, Hua, Bin, Wang, Mengbin, Liang, Haozhong, Khashab, Niveen M., Sessler, Jonathan L., and Huang, Feihe

Abstract

Variable stoichiometry co-crystals are important in solid-state supramolecular chemistry as they allow studies of structure–property relationships while permitting the synthesis of new scaffolds using identical synthons. In this work, we extend the concept of variable stoichiometry co-crystals into the realm of pillararene chemistry and show that this permits the rational construction of a diverse set of supramolecular structures in the solid state. Specifically, we report a series of variable stoichiometry co-crystals based on pillar[n]arenes and tetracyanobenzene (TCNB) and show that the combination of in-cavity complexation by pillar[n]arenes (n= 5,6) and outside binding with TCNBallows several types of co-crystals with different self-assembled superstructures to be isolated. The variable stoichiometry co-crystals of this study display different solid-state physicochemical properties, including colors and luminescence features. Among these pillar[n]arene-based co-crystals, we discovered unique crystallographic architectures wherein two sets of individual host–guest complexes co-exist in the solid state. These mixed co-crystal systems allow for vapochromic-based detection of n-bromoalkanes. This work highlights a new strategy for the construction of self-assembled superstructures in the solid state and for tuning their intrinsic characteristics, including their luminescent and substrate-responsive features.

Published
2023
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26. An identification method based on multi-aspect target scattering characteristics

Author

Juan Yang, Wang Mengbin, An Xudong, Wen Tao, Xu Feng, and Tao Wem

Subjects
Anechoic chamber, Scattering, Computer science, business.industry, Acoustics, Pattern recognition, Moment (mathematics), Identification rate, Identification (information), Bistatic radar, Transducer, Multi aspect, Artificial intelligence, business
Abstract

An identification method based on multi-aspect target scattering characteristics when the transmitting and receiving transducer are separated is proposed in this essay. Target strengths of each target at different bistatic angles are calculated, and form a combined vector. Then the first-order and second-order moment features are abstracted. Pool experiment of three targets has been conducted, and the features proposed by this easy are abstracted. The support vector machine classifier is employed to identify the target. The identification rate is up to 100% in the anechoic tank environment.

Published
2016
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