Electronic Research Archive最新文献_第7页

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

Electronic Research Archive Pub Date : 2023-01-01 DOI: 10.3934/era.2023285

Jun Guo, Yanchao Shi, Weihua Luo, Yanzhao Cheng, Shengye Wang

引用次数: 0

Study on the storage stability performance enhancement mechanism of graphene on rubber-modified asphalt based on size effect 基于尺寸效应的石墨烯在橡胶改性沥青上储存稳定性性能增强机理研究

IF 0.8 4区数学

Electronic Research Archive Pub Date : 2023-01-01 DOI: 10.3934/era.2023105

Yutong Xie, Yingli Gao, M. Liao, Weiwei Tian

{"title":"Study on the storage stability performance enhancement mechanism of graphene on rubber-modified asphalt based on size effect","authors":"Yutong Xie, Yingli Gao, M. Liao, Weiwei Tian","doi":"10.3934/era.2023105","DOIUrl":"https://doi.org/10.3934/era.2023105","url":null,"abstract":"The application of waste rubber powder (WRP) for asphalt pavement could achieve the harmless and resourceful utilization of solid waste, but the storage stability of waste rubber powder modified asphalt (RA) is one of the main problems restricting its application. Existing studies have demonstrated that graphene could enhance the storage stability of RA, but graphene's size effect on the modifying effect and its corresponding mechanism are still uncertain. In this research, the effects of graphene microstructural properties (i.e., molecular size and layer number) on the storage stability of RA were investigated by storage stability testing, dynamic shear rheometry (DSR) testing and fluorescence microscopy (FM) testing, in combination with molecular dynamics simulation (MD). The experimental results indicated that graphene improved the storage stability of RA significantly, with few-layer graphene being more effective in enhancing it. MD was used to investigate the graphene size effect on RA in compatibility, intermolecular binding energy and structural stability of the system. The simulation results revealed that small-sized graphene molecules were more compatible with RA. Meanwhile, few-layer, small-sized graphene can provide higher binding energy and better enhancement of storage stability of RA. The number of graphene layers mainly influences the binding energy rather than solubility parameters. The relative concentration distribution results demonstrated that graphene facilitated the spatial distribution of asphaltenes, rubber components and light components. This research provides theoretical support for the rational selection of microstructural properties of graphene to improve the modified asphalt storage stability performance.","PeriodicalId":48554,"journal":{"name":"Electronic Research Archive","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70244632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tutorial on prescriptive analytics for logistics: What to predict and how to predict 物流规范分析教程:预测什么以及如何预测

IF 0.8 4区数学

Electronic Research Archive Pub Date : 2023-01-01 DOI: 10.3934/era.2023116

Xuecheng Tian, Ran Yan, Shuaian Wang, Yannick Liu, Lu Zhen

{"title":"Tutorial on prescriptive analytics for logistics: What to predict and how to predict","authors":"Xuecheng Tian, Ran Yan, Shuaian Wang, Yannick Liu, Lu Zhen","doi":"10.3934/era.2023116","DOIUrl":"https://doi.org/10.3934/era.2023116","url":null,"abstract":"The development of the Internet of things (IoT) and online platforms enables companies and governments to collect data from a much broader spatial and temporal area in the logistics industry. The huge amount of data provides new opportunities to handle uncertainty in optimization problems within the logistics system. Accordingly, various prescriptive analytics frameworks have been developed to predict different parts of uncertain optimization problems, including the uncertain parameter, the combined coefficient consisting of the uncertain parameter, the objective function, and the optimal solution. This tutorial serves as the pioneer to introduce existing literature on state-of-the-art prescriptive analytics methods, such as the predict-then-optimize framework, the smart predict-then-optimize framework, the weighted sample average approximation framework, the empirical risk minimization framework, and the kernel optimization framework. Based on these frameworks, this tutorial further proposes possible improvements and practical tips to be considered when we use these methods. We hope that this tutorial will serve as a reference for future prescriptive analytics research on the logistics system in the era of big data.","PeriodicalId":48554,"journal":{"name":"Electronic Research Archive","volume":"121 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70244932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Algorithms for solving a class of real quasi-symmetric Toeplitz linear systems and its applications 一类实拟对称Toeplitz线性系统的求解算法及其应用

IF 0.8 4区数学

Electronic Research Archive Pub Date : 2023-01-01 DOI: 10.3934/era.2023101

Xinglong Zhang, Xiaoyu Jiang, Zhaolin Jiang, Hee-Young Byun

引用次数: 0

Multi-objective optimization design for steel-aluminum lightweight body of pure electric bus based on RBF model and genetic algorithm 基于RBF模型和遗传算法的纯电动客车钢铝轻量化车身多目标优化设计

IF 0.8 4区数学

Electronic Research Archive Pub Date : 2023-01-01 DOI: 10.3934/era.2023102

Wuhua Jiang, Yuexin Zhang, Jie Liu, Daisheng Zhang, Y. Yan, Chuanzheng Song

{"title":"Multi-objective optimization design for steel-aluminum lightweight body of pure electric bus based on RBF model and genetic algorithm","authors":"Wuhua Jiang, Yuexin Zhang, Jie Liu, Daisheng Zhang, Y. Yan, Chuanzheng Song","doi":"10.3934/era.2023102","DOIUrl":"https://doi.org/10.3934/era.2023102","url":null,"abstract":"In order to solve the problem of insufficient range caused by the excessive weight of the pure electric bus, a multi-objective genetic algorithm (GA) and radial basis function (RBF) model are combined in this paper to realize the lightweighting of steel and aluminum hybrid body of the pure electric bus. First, the upper and lower frames of the pure electric bus body are initially designed with aluminum alloy and steel materials respectively to meet the lightweight requirements. Second, a finite element (FE) model of the bus body is established, and the validity of the model is validated through physical tests. Then, the sensitivity analysis is performed to identify the relative importance of individual design parameters over the entire domain. The Hamosilei sampling method is selected for the design of the experiment (DOE) because users can specify the number of experiments and ensure that the set of random numbers is a good representative of real variability, and the RBF model is adopted to approximate the responses of objectives and constraints. Finally, the multi-objective optimization (MOO) method based on GA with RBF model is used to solve the optimization problem of the lightweight steel-aluminum hybrid bus body. The results show that compared with the traditional fully steel body, the use of the aluminum alloy lower-frame structure can reduce body mass by 38.4%, and the proposed optimization method can further reduce the mass of the steel-aluminum body to 4.28% without affecting the structural stiffness and strength performance of the body.","PeriodicalId":48554,"journal":{"name":"Electronic Research Archive","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70245009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A selective evolutionary heterogeneous ensemble algorithm for classifying imbalanced data 不平衡数据分类的选择进化异构集成算法

IF 0.8 4区数学

Electronic Research Archive Pub Date : 2023-01-01 DOI: 10.3934/era.2023138

Xiaomeng An, Sen Xu

{"title":"A selective evolutionary heterogeneous ensemble algorithm for classifying imbalanced data","authors":"Xiaomeng An, Sen Xu","doi":"10.3934/era.2023138","DOIUrl":"https://doi.org/10.3934/era.2023138","url":null,"abstract":"Learning from imbalanced data is a challenging task, as with this type of data, most conventional supervised learning algorithms tend to favor the majority class, which has significantly more instances than the other classes. Ensemble learning is a robust solution for addressing the imbalanced classification problem. To construct a successful ensemble classifier, the diversity of base classifiers should receive specific attention. In this paper, we present a novel ensemble learning algorithm called Selective Evolutionary Heterogeneous Ensemble (SEHE), which produces diversity by two ways, as follows: 1) adopting multiple different sampling strategies to generate diverse training subsets and 2) training multiple heterogeneous base classifiers to construct an ensemble. In addition, considering that some low-quality base classifiers may pull down the performance of an ensemble and that it is difficult to estimate the potential of each base classifier directly, we profit from the idea of a selective ensemble to adaptively select base classifiers for constructing an ensemble. In particular, an evolutionary algorithm is adopted to conduct the procedure of adaptive selection in SEHE. The experimental results on 42 imbalanced data sets show that the SEHE is significantly superior to some state-of-the-art ensemble learning algorithms which are specifically designed for addressing the class imbalance problem, indicating its effectiveness and superiority.","PeriodicalId":48554,"journal":{"name":"Electronic Research Archive","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70245123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effects of cross-diffusion and logistic source on the boundedness of solutions to a pursuit-evasion model 交叉扩散和logistic源对追逐-逃避模型解的有界性的影响

IF 0.8 4区数学

Electronic Research Archive Pub Date : 2023-01-01 DOI: 10.3934/era.2023170

Chang-Jian Wang, Zi-Han Zheng

引用次数: 0

The exact solutions of the fractional-stochastic Fokas-Lenells equation in optical fiber communication 光纤通信中分数-随机Fokas-Lenells方程的精确解

IF 0.8 4区数学

Electronic Research Archive Pub Date : 2023-01-01 DOI: 10.3934/era.2023180

S. Albosaily, W. Mohammed, M. El-Morshedy

引用次数: 0

Mathematical modeling and simulation analysis of different structured cored wire feeding spheroidization by finite volume method 用有限体积法对不同结构的包芯丝喂料球化过程进行数学建模和仿真分析