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学者姓名：乔元华
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摘要 ：
In this paper, a Leslie-type predator-prey system with simplified Holling type IV functional response and strong Allee effect on prey is proposed. The dissipativity of the system and the existence of all possible equilibria are investigated. The investigation emphasizes the exploring of bifurcation. It is shown that the system exists several non-hyperbolic positive equilibria, such as a weak focus of multiplicities one and two, (degenerate) saddle-nodes and Bogdanov-Takens singularities (cusp case) of codimensions 2 and 3. At these equilibria, it is proved that the system undergoes various kinds of bifurcations, such as saddle-node bifurcation, Hopf bifurcation, degenerate Hopf bifurcation and Bogdanov-Takens bifurcation of codimensions 2 and 3. With the parameters selected properly, there exhibits a limit cycle, a homoclinic loop, two limit cycles, a semistable limit cycle, or the simultaneous occurrence of a homoclinic loop and a limit cycle in the system. Moreover, it is also proved that the system has a cusp of codimension at least 4. Hence, there may exist three limit cycles generated from Hopf bifurcation of codimension 3. Numerical simulations are done to support the theoretical results. (C) 2021 Elsevier Ltd. All rights reserved.
关键词 ：
Allee effect Allee effect Bogdanov-Takens bifurcation Bogdanov-Takens bifurcation Hopf bifurcation Hopf bifurcation Limit cycle(s) Limit cycle(s) Predator-prey system Predator-prey system
引用：
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| GB/T 7714 | Shang, Zuchong , Qiao, Yuanhua . Bifurcation analysis of a Leslie-type predator-prey system with simplified Rolling type IV functional response and strong Allee effect on prey [J]. | NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS , 2022 , 64 . |
| MLA | Shang, Zuchong 等. "Bifurcation analysis of a Leslie-type predator-prey system with simplified Rolling type IV functional response and strong Allee effect on prey" . | NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS 64 (2022) . |
| APA | Shang, Zuchong , Qiao, Yuanhua . Bifurcation analysis of a Leslie-type predator-prey system with simplified Rolling type IV functional response and strong Allee effect on prey . | NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS , 2022 , 64 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
基于改进EAST的文本检测算法
关键词 ：
BLSTM神经网络 BLSTM神经网络 文本识别 文本识别 EAST EAST ASPP网络 ASPP网络
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| GB/T 7714 | 王俊 , 苗军 , 卿来云 et al. 基于改进EAST的文本检测算法 [J]. | 王俊 , 2021 , 11 (1) : 167-175 . |
| MLA | 王俊 et al. "基于改进EAST的文本检测算法" . | 王俊 11 . 1 (2021) : 167-175 . |
| APA | 王俊 , 苗军 , 卿来云 , 乔元华 , 计算机科学与应用 . 基于改进EAST的文本检测算法 . | 王俊 , 2021 , 11 (1) , 167-175 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
自然场景文本定位检测是文本识别的研究热点之一。EAST算法是目前自然场景文本定位检测算法较为出色的算法之一，在ICDAR2015数据集上，有着较高的准确率和召回率。但EAST算法仍存在着感受野不够大、长文本检测效果不佳的问题。因此本实验对EAST算法进行改进，通过改进EAST算法的结构，加入了ASPP网络，扩大感受野，加入了BLSTM神经网络，增强了文本之间的关联，提高文本定位效果。实验结果表明，该算法在ICDAR2015文本定位任务上的召回率为77.84%，精确率为86.24%，F-score为81.82%，优于经典EAST算法。
关键词 ：
ASPP网络 ASPP网络 BLSTM神经网络 BLSTM神经网络 Text Recognition Text Recognition ASPP Network ASPP Network 文本识别 文本识别 EAST EAST BLSTM Neural Network BLSTM Neural Network
引用：
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| GB/T 7714 | 王俊 , 苗军 , 卿来云 et al. 基于改进EAST的文本检测算法 [J]. | 计算机科学与应用 , 2021 , 11 (01) : 167-175 . |
| MLA | 王俊 et al. "基于改进EAST的文本检测算法" . | 计算机科学与应用 11 . 01 (2021) : 167-175 . |
| APA | 王俊 , 苗军 , 卿来云 , 乔元华 . 基于改进EAST的文本检测算法 . | 计算机科学与应用 , 2021 , 11 (01) , 167-175 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
近年来,全卷积神经网络有效提升了语义分割任务的准确率.然而,由于室内环境的复杂性,室内场景语义分割仍然是一个具有挑战性的问题.随着深度传感器的出现,人们开始考虑利用深度信息提升语义分割效果.以往的研究大多简单地使用等权值的拼接或求和操作来融合RGB特征和深度特征,未能充分利用RGB特征与深度特征之间的互补信息.本文提出一种基于注意力感知和语义感知的网络模型ASNet(Attention-aware and Semantic-aware Network).通过引入注意力感知多模态融合模块和语义感知多模态融合模块,有效地融合多层次的RGB特征和深度特征.其中,在注意力感知多模态融合模块中,本文设计...
关键词 ：
深度学习 深度学习 RGB-D语义分割 RGB-D语义分割 卷积神经网络 卷积神经网络 注意力模型 注意力模型 多模态融合 多模态融合
引用：
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| GB/T 7714 | 段立娟 , 孙启超 , 乔元华 et al. 基于注意力感知和语义感知的RGB-D室内图像语义分割算法 [J]. | 计算机学报 , 2021 , 44 (02) : 275-291 . |
| MLA | 段立娟 et al. "基于注意力感知和语义感知的RGB-D室内图像语义分割算法" . | 计算机学报 44 . 02 (2021) : 275-291 . |
| APA | 段立娟 , 孙启超 , 乔元华 , 陈军成 , 崔国勤 . 基于注意力感知和语义感知的RGB-D室内图像语义分割算法 . | 计算机学报 , 2021 , 44 (02) , 275-291 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
针对印章会影响发票文字识别的问题,提出了一种基于Pix2Pix网络去除印章的方法:采用HSV颜色空间的方法,筛选出包括印章在内的信息;通过二值化、图片腐蚀、轮廓集检测、椭圆拟合算法,确定椭圆印章的位置;将检测到的印章位置的外接矩形作为图片送入Pix2Pix网络,得到去除印章的图片。实验结果表明,Pix2Pix网络可以有效地去除印章。
关键词 ：
文字识别 文字识别 二值化 二值化 Pix2Pix网络 Pix2Pix网络 椭圆拟合 椭圆拟合
引用：
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| GB/T 7714 | 王俊 , 苗军 , 卿来云 et al. 基于Pix2Pix网络的印章去除 [J]. | 北京信息科技大学学报(自然科学版) , 2021 , 36 (04) : 39-43 . |
| MLA | 王俊 et al. "基于Pix2Pix网络的印章去除" . | 北京信息科技大学学报(自然科学版) 36 . 04 (2021) : 39-43 . |
| APA | 王俊 , 苗军 , 卿来云 , 乔元华 . 基于Pix2Pix网络的印章去除 . | 北京信息科技大学学报(自然科学版) , 2021 , 36 (04) , 39-43 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
The dynamical behaviors of a Leslie type predator-prey system are explored when the functional response is increasing for both predator and prey. Qualitative and quantitative analysis methods based on stability theory, bifurcation theory and numerical simulation are adopted. It is showed that the system is dissipative and permanent, and its solutions are bounded. Global stability of the unique positive equilibrium is investigated by constructing Dulac function and applying Poincare-Bendixson theorem. The bifurcation behaviors are further explored and the number of limit cycles is determined. By calculating the first Lyapunov number and the first two focus values, it is proved that the positive equilibrium is not a center but a weak focus of multiplicity at most two, so the system undergoes Hopf bifurcation and Bautin bifurcation. The normal form of Bautin bifurcation is also obtained by introducing the complex system. Moreover, numerical simulations are run to demonstrate the validity of theoretical results.
关键词 ：
Bautin bifurcation Bautin bifurcation Global stability Global stability Hopf bifurcation Hopf bifurcation Limit cycle Limit cycle Predator-prey system Predator-prey system
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| GB/T 7714 | Shang, Zuchong , Qiao, Yuanhua , Duan, Lijuan et al. Bifurcation analysis and global dynamics in a predator-prey system of Leslie type with an increasing functional response [J]. | ECOLOGICAL MODELLING , 2021 , 455 . |
| MLA | Shang, Zuchong et al. "Bifurcation analysis and global dynamics in a predator-prey system of Leslie type with an increasing functional response" . | ECOLOGICAL MODELLING 455 (2021) . |
| APA | Shang, Zuchong , Qiao, Yuanhua , Duan, Lijuan , Miao, Jun . Bifurcation analysis and global dynamics in a predator-prey system of Leslie type with an increasing functional response . | ECOLOGICAL MODELLING , 2021 , 455 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
基于注意力感知和语义感知的RGB-D室内图像语义分割算法
关键词 ：
RGB-D语义分割 RGB-D语义分割 卷积神经网络 卷积神经网络 多模态融合 多模态融合 注意力模型 注意力模型 深度学习 深度学习
引用：
复制并粘贴一种已设定好的引用格式，或利用其中一个链接导入到文献管理软件中。
| GB/T 7714 | 段立娟 , 孙启超 , 乔元华 et al. 基于注意力感知和语义感知的RGB-D室内图像语义分割算法 [J]. | 段立娟 , 2021 , 44 (2) : 275-291 . |
| MLA | 段立娟 et al. "基于注意力感知和语义感知的RGB-D室内图像语义分割算法" . | 段立娟 44 . 2 (2021) : 275-291 . |
| APA | 段立娟 , 孙启超 , 乔元华 , 陈军成 , 崔国勤 , 计算机学报 . 基于注意力感知和语义感知的RGB-D室内图像语义分割算法 . | 段立娟 , 2021 , 44 (2) , 275-291 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
Multidirectional associative memory neural networks (MAMNNs) are constructed to simulate the many-to-many association, and they are applied widely in many fields. It is important to explore the global stability of the periodic solution of MAMNNs. In this paper, MAMNNs with discontinuous activation functions and mixed time-varying delays are considered. Firstly, we investigate the conditions for the existence of the periodic solution by using the Mawhin-like coincidence theorem, and a special connecting weight matrix is constructed to prove the existence of the periodic solution. Secondly, the uniqueness and global exponential stability of the periodic solution are explored for the non-self-connected system by introducing a Lipschitz-like condition. Finally, numerical simulations are given to illustrate the effectiveness of our main results.
关键词 ：
discontinuous activation functions discontinuous activation functions global exponential stability global exponential stability mixed time‐ mixed time‐ multidirectional associative memory neural networks multidirectional associative memory neural networks periodic solution periodic solution varying delays varying delays
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| GB/T 7714 | Zhang, Yan , Qiao, Yuanhua , Duan, Lijuan et al. Periodic dynamics of multidirectional associative neural networks with discontinuous activation functions and mixed time delays [J]. | INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL , 2021 , 31 (10) : 4570-4588 . |
| MLA | Zhang, Yan et al. "Periodic dynamics of multidirectional associative neural networks with discontinuous activation functions and mixed time delays" . | INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 31 . 10 (2021) : 4570-4588 . |
| APA | Zhang, Yan , Qiao, Yuanhua , Duan, Lijuan , Miao, Jun , Zhang, Jiajia . Periodic dynamics of multidirectional associative neural networks with discontinuous activation functions and mixed time delays . | INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL , 2021 , 31 (10) , 4570-4588 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
CNN(Convolutional Neural Networks) is a hot topic in the field of pattern recognition., especially in the field of image recognition. And ResNet(Residual Networks) is a special kind of CNN. Compared with the general CNN structure, ResNet introduces the residual unit with an identity mapping. Identity mapping allows the deep layers to directly learn the data received by the shallow layers, which reduces the difficulty of network convergence to a certain extent. As a result, ResNet has a better learning ability, has achieved good performance in various types of image recognition work. The essence of the residual network is to fuse two types of features from different receptive fields, using the fused features instead of the output features of the previous layer as the learning object. But the implementation of feature fusion in original ResNet is adding the two features with equal weights. And this method ignores the fact that the contribution of features from different levels to the learning of the network may not be the same. In this paper, we introduce a feature-inspired gating strategy in the residual unit of ResNet, which allows the network giving different weights to different features, so that the implementation of the feature fusion can be transformed from adding features with equal weights into weighted summation with different weights. And through experiments, we proved that ResNet with gating strategy proposed in this paper can obtain higher recognition accuracy than original ResNet.
关键词 ：
Feature-inspired gating Feature-inspired gating Gating network Gating network Gating residual network Gating residual network ResNet ResNet
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| GB/T 7714 | Miao, Jun , Xu, Shaowu , Zou, Baixian et al. ResNet based on feature-inspired gating strategy [J]. | MULTIMEDIA TOOLS AND APPLICATIONS , 2021 . |
| MLA | Miao, Jun et al. "ResNet based on feature-inspired gating strategy" . | MULTIMEDIA TOOLS AND APPLICATIONS (2021) . |
| APA | Miao, Jun , Xu, Shaowu , Zou, Baixian , Qiao, Yuanhua . ResNet based on feature-inspired gating strategy . | MULTIMEDIA TOOLS AND APPLICATIONS , 2021 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
In this paper, we propose a deep multimodal feature learning (DMFL) network for RGB-D salient object detection. The color and depth features are firstly extracted from low level to high level feature using CNN. Then the features at the high layer are shared and concatenated to construct joint feature representation of multi-modalities. The fused features are embedded to a high dimension metric space to express the salient and non-salient parts. And also a new objective function, consisting of cross-entropy and metric loss, is proposed to optimize the model. Both pixel and attribute level discriminative features are learned for semantical grouping to detect the salient objects. Experimental results show that the proposed model achieves promising performance and has about 1% to 2% improvement to conventional methods. © 2021 Elsevier Ltd
关键词 ：
Deep learning Deep learning Feature extraction Feature extraction Object detection Object detection Object recognition Object recognition Set theory Set theory Topology Topology
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| GB/T 7714 | Liang, Fangfang , Duan, Lijuan , Ma, Wei et al. A deep multimodal feature learning network for RGB-D salient object detection [J]. | Computers and Electrical Engineering , 2021 , 92 . |
| MLA | Liang, Fangfang et al. "A deep multimodal feature learning network for RGB-D salient object detection" . | Computers and Electrical Engineering 92 (2021) . |
| APA | Liang, Fangfang , Duan, Lijuan , Ma, Wei , Qiao, Yuanhua , Miao, Jun . A deep multimodal feature learning network for RGB-D salient object detection . | Computers and Electrical Engineering , 2021 , 92 . |
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