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Some new results for $ B_1 $-matrices 关于$ B_1 $-矩阵的一些新结果
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023244
Yan Li, Yaqiang Wang
The class of $ B_1 $-matrices is a subclass of $ P $-matrices and introduced as a generalization of $ B $-matrices. In this paper, we present several properties for $ B_1 $-matrices. Then, the infinity norm upper bound for the inverse of $ B_1 $-matrices is obtained. Furthermore, the error bound for the linear complementarity problem of $ B_1 $-matrices is presented. Finally, some numerical examples are given to illustrate our results.
$ B_1 $-矩阵是$ P $-矩阵的一个子类,是作为$ B $-矩阵的推广引入的。本文给出了$ B_1 $-矩阵的几个性质。然后,得到了$ B_1 $-矩阵逆的无穷范数上界。进一步给出了$ B_1 $-矩阵线性互补问题的误差界。最后,给出了一些数值算例来说明我们的结果。
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引用次数: 0
Application of Improved Jellyfish Search algorithm in Rotate Vector reducer fault diagnosis 改进水母搜索算法在旋转矢量减速器故障诊断中的应用
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023250
Xiaoyan Wu, Guowen Ye, Yongming Liu, Zhuanzhe Zhao, Zhibo Liu, Yu Chen
In order to overcome the low accuracy of traditional Extreme Learning Machine (ELM) network in the performance evaluation of Rotate Vector (RV) reducer, a pattern recognition model of ELM based on Ensemble Empirical Mode Decomposition (EEMD) fusion and Improved artificial Jellyfish Search (IJS) algorithm was proposed for RV reducer fault diagnosis. Firstly, it is theoretically proved that the torque transmission of RV reducer has periodicity during normal operation. The characteristics of data periodicity can be effectively reflected by using the test signal periodicity characteristics of rotating machinery and EEMD. Secondly, the Logistic chaotic mapping of population initialization in JS algorithm is replaced by tent mapping. At the same time, the competition mechanism is introduced to form a new IJS. The simulation results of standard test function show that the new algorithm has the characteristics of faster convergence and higher accuracy. The new algorithm was used to optimize the input layer weight of the ELM, and the pattern recognition model of IJS-ELM was established. The model performance was tested by XJTU-SY bearing experimental data set of Xi'an Jiaotong University. The results show that the new model is superior to JS-ELM and ELM in multi-classification performance. Finally, the new model is applied to the fault diagnosis of RV reducer. The results show that the proposed EEMD-IJS-ELM fault diagnosis model has higher accuracy and stability than other models.
针对传统极限学习机(ELM)网络在RV减速器性能评估中准确率较低的问题,提出了一种基于集成经验模态分解(EEMD)融合和改进人工水母搜索(IJS)算法的ELM模式识别模型,用于RV减速器故障诊断。首先,从理论上证明了RV减速器在正常运行时的转矩传递具有周期性。利用旋转机械和EEMD测试信号的周期性特征,可以有效地反映数据的周期性特征。其次,将JS算法中人口初始化的Logistic混沌映射替换为帐篷映射。同时引入竞争机制,形成新的IJS。标准测试函数的仿真结果表明,新算法具有收敛速度快、精度高等特点。利用该算法对ELM的输入层权值进行优化,建立了IJS-ELM的模式识别模型。利用西安交通大学的XJTU-SY轴承实验数据集对模型的性能进行了测试。结果表明,新模型在多分类性能上优于JS-ELM和ELM。最后,将该模型应用于RV减速器的故障诊断。结果表明,所建立的EEMD-IJS-ELM故障诊断模型具有较高的准确性和稳定性。
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引用次数: 0
Elliptic and multiple-valued solutions of some higher order ordinary differential equations 若干高阶常微分方程的椭圆解和多值解
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023302
Guoqiang Dang
In the present paper, by the complex method, the meromorphic solutions of the higher order ordinary differential equation $ w^{(5)}+aw^{''}+bw^2-cw+d = 0 $ are investigated, where $ a, b, c, d $ are constant complex numbers, and $ b neq0 $. Furthermore, by Theorem 1.1, we built elliptic and multiple-valued solutions for the higher order ordinary differential equations $ u^{(6)}-u^{(5)}+u'^2-2u'u+u^2+2u'-2u+1 = 0 $ and $ u^{(6)}-u^{(5)}+au^{'''}-au''+bu'^2-2bu'u+bu^2-cu'+cu+d = 0 $. At the end, we give some new meromorphic solutions for two higher-order KdV-like equations.
本文用复形方法研究了一类高阶常微分方程$ w^{(5)}+aw^{"}+bw^2-cw+d = 0 $的亚纯解,其中$ a, b, c, d $为常复数,$ b neq0 $。进一步,利用1.1定理,构造了高阶常微分方程$ u^{(6)}-u^{(5)}+u'^2-2u'u+u^2+2u'-2u+1 = 0 $和$ u^{(6)}-u^{(5)}+au^{'}-au' +bu'^2-2bu'u+bu^2-cu'+cu+d = 0 $的椭圆解和多值解。最后给出了两个高阶类kdv方程的一些新的亚纯解。
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引用次数: 2
Multi-features combinatorial optimization for keyframe extraction 关键帧提取的多特征组合优化
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023304
Lei Ma, Weiyu Wang, Yaozong Zhang, Yu Shi, Zhenghua Huang, Hanyu Hong
Recent advancements in network and multimedia technologies have facilitated the distribution and sharing of digital videos over the Internet. These long videos contain very complex contents. Additionally, it is very challenging to use as few frames as possible to cover the video contents without missing too much information. There are at least two ways to describe these complex videos contents with minimal frames: the keyframes extracted from the video or the video summary. The former lays stress on covering the whole video contents as much as possible. The latter emphasizes covering the video contents of interest. As a consequence, keyframes are widely used in many areas such as video segmentation and object tracking. In this paper, we propose a keyframe extraction method based on multiple features via a novel combinatorial optimization algorithm. The key frame extraction is modeled as a combinatorial optimization problem. A fast dynamic programming algorithm based on a forward non-overlapping transfer matrix in polynomial time and a 0-1 integer linear programming algorithm based on an overlapping matrix is proposed to solve our maximization problem. In order to quantitatively evaluate our approach, a long video dataset named 'Animal world' is self-constructed, and the segmentation evaluation criterions are introduced. A good result is achieved on 'Animal world' dataset and a public available Keyframe-Sydney KFSYD dataset [1].
网络和多媒体技术的最新进展促进了数字视频在互联网上的分发和共享。这些长视频包含非常复杂的内容。此外,使用尽可能少的帧来覆盖视频内容而不丢失太多信息是非常具有挑战性的。用最少的帧来描述这些复杂的视频内容,至少有两种方法:从视频中提取关键帧或视频摘要。前者强调尽可能覆盖整个视频内容。后者强调覆盖感兴趣的视频内容。因此,关键帧在视频分割和目标跟踪等领域得到了广泛的应用。本文通过一种新的组合优化算法,提出了一种基于多特征的关键帧提取方法。关键帧提取是一个组合优化问题。提出了一种基于多项式时间前向无重叠传递矩阵的快速动态规划算法和一种基于重叠矩阵的0-1整数线性规划算法来解决最大化问题。为了定量评价我们的方法,我们构建了一个名为“动物世界”的长视频数据集,并引入了分割评价标准。在“动物世界”数据集和公开可用的关键帧-悉尼KFSYD数据集[1]上取得了很好的结果。
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引用次数: 0
Dynamic analysis of reaction-diffusion dual carbon model considering economic development in China 考虑中国经济发展的反应-扩散双碳模型动态分析
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023126
Yanchuang Hou, Chunyue Wei, Yuting Ding
In this paper, a reaction-diffusion dual carbon model associated with Dirichlet boundary condition is proposed under the influence of economic development in China. First, we enumerate and analyse some influencing factors of carbon emission and carbon absorption, and select economic development as the influence factor of carbon emission. Second, we establish a model associated with dual carbon and analyse the existence and stability of equilibrium and the existence of bifurcations. Finally, we analyse and predict for the value of parameters. Numerical simulations are presented to support our theory results. Combined with theoretical analysis and numerical simulations, we obtain that China can achieve carbon peak before 2030. If we want to achieve carbon neutral before 2060, it requires efforts from all of parts of society. Therefore, we put forward some practical suggestions to achieve carbon neutrality and carbon peak on schedule in China for the next few decades.
本文在中国经济发展的影响下,提出了一个与Dirichlet边界条件相关的反应-扩散双碳模型。首先,我们列举和分析了碳排放和碳吸收的影响因素,并选择经济发展作为碳排放的影响因素。其次,我们建立了一个与双碳相关的模型,并分析了平衡的存在性和稳定性以及分岔的存在性。最后,对各参数的取值进行了分析和预测。数值模拟支持了我们的理论结果。结合理论分析和数值模拟,得出中国可以在2030年前达到碳峰值。如果我们想在2060年之前实现碳中和,就需要社会各方面的努力。因此,我们提出了中国未来几十年如期实现碳中和和碳峰值的一些切实可行的建议。
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引用次数: 1
Local well-posedness of perturbed Navier-Stokes system around Landau solutions 朗道解周围摄动Navier-Stokes系统的局部适定性
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/ERA.2021010
Jingjing Zhang, Ting Zhang
In this paper, we consider the perturbed Navier–Stokes equations around the Landau solution and investigate the global well-posedness results of the perturbed system with the small initial data in the [Formula: see text] space, where [Formula: see text].
本文考虑围绕Landau解的摄动Navier-Stokes方程,在[公式:见文]空间中研究初始数据较小的摄动系统的全局适定性结果,其中[公式:见文]。
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引用次数: 3
Age estimation algorithm based on deep learning and its application in fall detection 基于深度学习的年龄估计算法及其在跌倒检测中的应用
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023251
Jiayi Yu, Ye Tao, Huang Zhang, Zhibiao Wang, Wenhua Cui, Tianwei Shi
With the continuous development and progress of society, age estimation based on deep learning has gradually become a key link in human-computer interaction. Widely combined with other fields of application, this paper performs a gradient division of human fall behavior according to the age estimation of the human body, a complete priority detection of the key population, and a phased single aggregation backbone network VoVNetv4 was proposed for feature extraction. At the same time, the regional single aggregation module ROSA module was constructed to encapsulate the feature module regionally. The adaptive stage module was used for feature smoothing. Consistent predictions for each task were made using the CORAL framework as a classifier and tasks were divided in binary. At the same time, a gradient two-node fall detection framework combined with age estimation was designed. The detection was divided into a primary node and a secondary node. In the first-level node, the age estimation algorithm based on VoVNetv4 was used to classify the population of different age groups. A face tracking algorithm was constructed by combining the key point matrices of humans, and the body processed by OpenPose with the central coordinates of the human face. In the secondary node, human age gradient information was used to detect human falls based on the AT-MLP model. The experimental results show that compared with Resnet-34, the MAE value of the proposed method decreased by 0.41. Compared with curriculum learning and the CORAL-CNN method, MAE value decreased by 0.17 relative to the RMSE value. Compared with other methods, the method in this paper was significantly lower, with a biggest drop of 0.51.
随着社会的不断发展和进步,基于深度学习的年龄估计逐渐成为人机交互的关键环节。本文广泛结合其他应用领域,根据人体年龄估计对人体跌倒行为进行梯度划分,对关键人群进行完整的优先级检测,提出了分阶段的单聚合骨干网VoVNetv4进行特征提取。同时,构建区域单聚合模块ROSA模块,对特征模块进行区域封装。采用自适应阶段模块进行特征平滑。使用CORAL框架作为分类器对每个任务进行一致的预测,并将任务分为二值。同时,设计了一种结合年龄估计的梯度双节点跌倒检测框架。检测分为主节点和次节点。在第一级节点,使用基于VoVNetv4的年龄估计算法对不同年龄组的人群进行分类。将人体关键点矩阵与OpenPose处理的人体与人脸中心坐标相结合,构建人脸跟踪算法。在次要节点,基于AT-MLP模型,利用人类年龄梯度信息检测人类跌倒。实验结果表明,与Resnet-34相比,该方法的MAE值降低了0.41。与课程学习和CORAL-CNN方法相比,MAE值相对RMSE值降低了0.17。与其他方法相比,本文方法显著降低,最大降幅为0.51。
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引用次数: 0
Liner alliance shipping network design model with shippers' choice inertia and empty container relocation 考虑托运人选择惯性和空箱搬迁的班轮联盟运输网络设计模型
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023280
Xu Xin, Xiaoli Wang, Zhang Tao, Haichao Chen, Qian Guo, Shaorui Zhou
Liner companies have responded to escalating trade conflicts and the impact of the COVID-19 pandemic by forming alliances and implementing streamlined approaches to manage empty containers, which has strengthened the resilience of their supply chains. Meanwhile, shippers have grown more sensitive during these turbulent times. Motivated by the market situation, we investigate a liner alliance shipping network design problem considering the choice inertia of shippers and empty container relocation. To address this problem, we propose a bilevel programming model. The upper model aims to maximize the alliance's profit by optimizing the alliance's shipping network and fleet design scheme. The lower model focuses on optimizing the slot allocation scheme and the empty container relocation scheme. To ensure the sustainable operation of the alliance, we develop an inverse optimization model to allocate profits among alliance members. Furthermore, we design a differential evolution metaheuristic algorithm to solve the model. To validate the effectiveness of the proposed model and algorithm, numerical experiments are conducted using actual shipping data from the Asia-Western Europe shipping route. The results confirm the validity of the proposed model and algorithm, which can serve as a crucial decision-making reference for the daily operations of a liner shipping alliance.
班轮公司为应对不断升级的贸易冲突和2019冠状病毒病大流行的影响,结成了联盟,并采用了简化的方法来管理空集装箱,从而增强了其供应链的抵御能力。与此同时,托运人在动荡时期变得更加敏感。在市场形势的激励下,研究了考虑托运人选择惯性和空箱搬迁的班轮联盟运输网络设计问题。为了解决这个问题,我们提出了一个双层规划模型。上层模型旨在通过优化联盟的航运网络和船队设计方案,使联盟的利润最大化。下一模型着重于优化槽位分配方案和空箱搬迁方案。为了保证联盟的可持续运行,我们建立了一个逆向优化模型来分配联盟成员之间的利润。此外,我们设计了一个差分进化元启发式算法来求解该模型。为了验证所提模型和算法的有效性,利用亚洲-西欧航线的实际航运数据进行了数值实验。研究结果验证了模型和算法的有效性,为班轮运输联盟的日常运营提供了重要的决策参考。
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引用次数: 3
On two-term exponential sums and their mean values 关于两项指数和及其平均值
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023282
Jianghua Li, Zepeng Zhang, Tianyu Pan
The mean value problems of exponential sums play a very important role in the research of analytic number theory, and many famous number theory problems are closely related to them. The main purpose of this paper is using some elementary methods and the number of the solutions of the congruence equations to study the calculating problem of some fourth power means of two-term exponential sums, and give exact calculating formulae and asymptotic formula for them.
指数和均值问题在解析数论研究中占有十分重要的地位,许多著名的数论问题都与指数和均值问题密切相关。本文的主要目的是利用同余方程的一些初等方法和解的数目来研究两项指数和的一些四次均值的计算问题,并给出它们的精确计算公式和渐近公式。
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引用次数: 0
Exponential projective synchronization analysis for quaternion-valued memristor-based neural networks with time delays 具有时滞的四元数忆阻器神经网络的指数投影同步分析
IF 0.8 4区 数学 Q1 MATHEMATICS Pub Date : 2023-01-01 DOI: 10.3934/era.2023285
Jun Guo, Yanchao Shi, Weihua Luo, Yanzhao Cheng, Shengye Wang
The issues of exponential projective synchronization and adaptive exponential projective synchronization are analyzed for quaternion-valued memristor-based neural networks (QVMNNs) with time delays. Different from the results of existing decomposition techniques, a direct analytical approach is used to discuss the projection synchronization problem. First, in the framework of measurable selection and differential inclusion, the QVMNNs is transformed into a system with parametric uncertainty. Next, the sign function related to quaternion is introduced. Different proper control schemes are designed and several criteria for ascertaining exponential projective synchronization and adaptive exponential projective synchronization are derived based on Lyapunov theory and the properties of sign function. Furthermore, several corollaries about global projective synchronization are proposed. Finally, the reliability and validity of our results are substantiated by two numerical examples and its corresponding simulation.
分析了具有时滞的四元数值记忆电阻神经网络的指数投影同步和自适应指数投影同步问题。与现有分解方法的结果不同,本文采用直接解析的方法来讨论投影同步问题。首先,在可测量选择和差分包容的框架下,将qvmnn转化为具有参数不确定性的系统。其次,介绍了与四元数相关的符号函数。根据李雅普诺夫理论和符号函数的性质,设计了不同的适当控制方案,导出了确定指数投影同步和自适应指数投影同步的若干判据。在此基础上,提出了关于全局射影同步的若干推论。最后,通过两个数值算例和相应的仿真验证了所得结果的可靠性和有效性。
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引用次数: 0
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