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A numerical scheme for solving nonlinear parabolic partial differential equations with piecewise constant arguments 求解具有分段常数参数的非线性抛物型偏微分方程的数值格式
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2021.23741.2608
Mojgan Esmailzadeh, J. Alavi, H. Najafi
‎This article deals with the nonlinear parabolic equation with piecewise continuous arguments (EPCA)‎. ‎This study‎, ‎therefore‎, ‎with the aid of the $theta$‎ ‎-methods,‎ ‎aims at presenting a numerical solution scheme for solving such types of equations which has applications in certain ecological studies‎. ‎Moreover‎, ‎the convergence and stability of our proposed numerical method are investigated‎. ‎Finally‎, ‎to support and confirm our theoretical results‎, ‎some numerical examples are also presented‎.
本文讨论了具有分段连续参数(EPCA)的非线性抛物方程。因此,本研究在θ方法的帮助下,旨在提出一种求解此类方程的数值解方案,这些方程在某些生态学研究中有应用。此外,还研究了所提数值方法的收敛性和稳定性。最后,为了支持和证实我们的理论结果,还给出了一些数值算例。
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引用次数: 1
Industry 4.0 technologies assessment: An integrated reverse supply chain model with the whale optimization algorithm 工业4.0技术评估:基于鲸鱼优化算法的集成逆向供应链模型
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2021.25194.2943
Sharareh Mohajeri, F. Harsej, Mahboubeh Sadeghpour, Jahanfar khaleghi nia
In recent years, integrated reverse supply chain practices have been adopted by companies that desire to reduce the negative environmental and social impacts within their supply chains. models and solutions assisted by industry 4.0 technologies have been developed to transform products in the end of their life cycle into new products with different use. There are several methods with different technologies to recycle the wastes, which have been selected and weighted based on the indicators of the industry 4.0 revolution and the wastes sent to recycling centers based on the technology weight. The understudy model is multi-objective, including minimizing transportation costs and environmental effects and maximizing customer response demand. The whale optimization algorithm and the NSGA-II algorithm were also used to solve this model. The results obtained from whale optimization and genetic algorithms have been comprised of each other through comparative indicators of quality, dispersion, uniformity, and solving time. The results showed that the whale algorithm has a higher ability to explore and extract possible points and achieve optimal solutions in all cases. The NSGA-II algorithm was also superior to the whale algorithm in terms of uniformity and solving time. The investigation of changes in solving time with increasing problem size was another confirmation of the NP-hard nature of the understudied problem.
近年来,希望减少供应链对环境和社会的负面影响的公司已经采用了集成的逆向供应链实践。工业4.0技术辅助的模型和解决方案已经开发出来,将生命周期结束的产品转化为具有不同用途的新产品。有几种不同技术的废物回收方法,根据工业4.0革命的指标和根据技术权重送到回收中心的废物进行选择和加权。替补模型是多目标的,包括运输成本和环境影响最小化和客户响应需求最大化。采用鲸鱼优化算法和NSGA-II算法求解该模型。通过质量、离散度、均匀性、求解时间等指标的比较,将鲸鱼优化和遗传算法得到的结果相互构成。结果表明,鲸鱼算法在所有情况下都具有更高的探索和提取可能点并获得最优解的能力。NSGA-II算法在均匀性和求解时间上也优于whale算法。对求解时间随问题规模增加而变化的研究,再次证实了未被研究问题的NP-hard性质。
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引用次数: 1
Counting of Conjugacy classes in partial transformation semigroup. 部分变换半群中共轭类的计数。
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2021.24082.2666
A. Shah, Mohd Rafiq Parray, Dilawar Juneed Mir
J.Koneiczny in [8] introduced the new notion $sim_{n}$ notion of conjugacy in semigroups. In this paper, we count the number of conjugacy classes in Partial Transformation semigroup $mathcal{P}(A)$ for an infinite set $A$ with respect to $sim_{n}$ notion of conjugacy.
J.Koneiczny在1996年引入了半群中共轭的新概念$sim_{n}$。在无限集$A$的共轭概念下,我们计算了$mathcal{P}(A)$的偏变换半群$mathcal{P}(A)$的共轭类个数。
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引用次数: 0
Developing bulk arrival queuing models with the constant batch policy under uncertainty data using (0 - 1) variables 在不确定数据下使用(0 - 1)变量建立具有恒定批策略的批量到达排队模型
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2022.5653
Zeina Mueen
This paper delves into some significant performance measures (PMs) of a bulk arrival queueing system with constant batch size b, according to arrival rates and service rates being fuzzy parameters. The bulk arrival queuing system deals with observation arrival into the queuing system as a constant group size before allowing individual customers entering to the service. This leads to obtaining a new tool with the aid of generating function methods. The corresponding traditional bulk queueing system model is more convenient under an uncertain environment. The $alpha$-cut approach is applied with the conventional Zadeh's extension principle (ZEP) to transform the triangular membership functions (Mem. Fs) fuzzy queues into a family of conventional bulkqueues. This new model focus on mixed-integer non-linear programming (MINLP) tenders a mathematical computational approach is known as (0 -1) variables. To measures the efficiency of the method, the efficient solution strategy plays a crucial role in the adequate application of these techniques. Furthermore, different stages of the $alpha$-cut intervals were analyzed and the final part of the article gives a numerical solution of the proposed model to achieve practical issues.
本文研究了批大小为b的批量到达排队系统在到达率和服务率为模糊参数的情况下的一些重要性能指标。批量到达排队系统在允许单个客户进入服务之前,以恒定的群体规模来处理排队系统的观察到达情况。这导致获得一个新的工具,借助生成函数方法。相应的传统批量排队系统模型在不确定环境下更为方便。将$alpha$-cut方法与传统的Zadeh扩展原理(ZEP)应用于三角隶属函数(Mem)的变换。f)将模糊队列分解为一类常规大队列。这种新模型着重于混合整数非线性规划(MINLP),提出了一种称为(0 -1)变量的数学计算方法。为了衡量方法的效率,有效的解策略在这些技术的充分应用中起着至关重要的作用。此外,本文还分析了$alpha$ cut区间的不同阶段,并在文章的最后部分给出了所提出模型的数值解,以实现实际问题。
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引用次数: 1
On proximally closed mapping 关于近闭映射
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2022.5659
Saad Mahdi Jaber, Marwah Yasir Mohsin
In this paper, we introduce the concept of proximally closed (or $delta-$ closed) in the proximity spaces and study some of its properties.
本文在邻近空间中引入了近闭(或$delta-$闭)的概念,并研究了它的一些性质。
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引用次数: 0
The accrual anomaly analysis at different stages of the corporate life cycle of companies listed on the Tehran stock exchange 德黑兰证券交易所上市公司生命周期不同阶段应计盈余异常分析
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2022.5677
M. Ostad, M. Dastgir, Shukrollah Khajavi
Financial theorists believe that low accruals firms have higher returns compared to those with high accruals calling this relationship an accruals anomaly. Since the introduction of this concept, various studies have examined the factors causing accruals anomalies and their impact on corporate revenues. The current paper aims at investigating the impact of accruals anomalies on corporate profitability as well as the role of the corporate life cycle. Thus, the data was collected using 109 companies listed on the Tehran Stock Exchange data during the period 2012 to 2018.  Then, the relationships were examined using regression modelling with a panel approach. The results indicate that there is no significant impact of life cycle on the relationship between accrual anomalies and profitability.
金融理论家认为,低应计项目的公司比那些高应计项目的公司有更高的回报,称这种关系为应计项目异常。自引入这一概念以来,各种研究都考察了造成应计异常的因素及其对公司收入的影响。本文旨在探讨应计项目异常对企业盈利能力的影响以及企业生命周期的作用。因此,数据是使用2012年至2018年期间在德黑兰证券交易所上市的109家公司的数据收集的。然后,使用回归模型和面板方法检查了这些关系。结果表明,生命周期对应计异常与盈利能力之间的关系没有显著影响。
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引用次数: 0
Multi-class LDA classifier and CNN feature extraction for student performance analysis during Covid-19 pandemic 基于多类LDA分类器和CNN特征提取的学生成绩分析
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2022.5710
S. RasheedMansoorAli, S. Perumal
In our modern world, education is essential for developing high moral values and excellence in individuals. But the spread of Covid-19 widely affects the student’s education, the majority of students have continued their education via online learning platforms. The academic performance of students has been sluggish across the globe during this pandemic. This problem is solved using a multiclass Linear Discriminant Analysis (LDA) and Convolutional Neural Network (CNN) model which predicts the student learning rate and behavior. This research aims to classify the students’ performance into low, medium, and high grades in order to assist tutors in predicting the low-ranking students. The student data log is collected from the Kaggle student performance analysis dataset and pre-processed to remove the noise and non-redundance data. By analyzing the pre-processed data, the CNN extracts feature that are based on student interest and subjective pattern sequences. Then extracted features are filtered by the Minimum Redundancy Maximum Relevance(mRMR) method. mRMR selects the best features and dilutes the least one which handles each feature separately. The feature weights are measured by Stochastic Gradient Descent (SGD) and updated for better feature learning by CNN. At the last stage, the Multi-class LDA classifier evaluates the result into categorized classes. Based on the prediction, the tutors can easily find the low ranks of students who need a high preference for improving their academic performance. Experiments showed that the proposed model achieves greater accuracy (96.5%), precision (094), recall (092), F-score (095), and requires less computation time than existing methods.
在现代社会,教育对于培养个人高尚的道德价值观和卓越品质至关重要。但新冠肺炎疫情的传播广泛影响了学生的教育,大多数学生通过在线学习平台继续接受教育。在这次大流行期间,全球学生的学习成绩一直低迷。利用多类线性判别分析(LDA)和卷积神经网络(CNN)模型来预测学生的学习速度和行为,解决了这个问题。本研究旨在将学生的表现分为低、中、高三个等级,以协助导师预测低等级学生。学生数据日志是从Kaggle学生表现分析数据集中收集的,并经过预处理以去除噪声和非冗余数据。通过分析预处理数据,CNN提取基于学生兴趣和主观模式序列的特征。然后用最小冗余最大相关性(mRMR)方法对提取的特征进行过滤。mRMR选择最好的特征,稀释最小的特征,分别处理每个特征。通过随机梯度下降(SGD)测量特征权重,并通过CNN更新以更好地学习特征。在最后阶段,多类LDA分类器将结果评估为已分类的类。根据预测,导师可以很容易地找到那些需要提高学习成绩的高偏好的低级别学生。实验表明,该模型的准确率(96.5%)、精密度(094)、查全率(092)、f分数(095)均高于现有方法,且计算时间更短。
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引用次数: 1
Fixed Point Results in Complex Valued Metric Spaces and an Application 复值度量空间中的不动点结果及其应用
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2020.16034.1843
R. Rashwan
In this paper, we introduce xed point theorem for a general contractive condition in complex valued metric spaces. Also, some important corollaries under this contractive condition are obtained. As an application, we nd a unique solution for Urysohn integral equations and some illustrative examples are given to support our obtaining results. Our results extend and generalize the results of Azam et al. [2] and some other known results in the literature.
本文引入复值度量空间中一般压缩条件的杂点定理。并在此压缩条件下得到了一些重要的推论。作为应用,我们得到了Urysohn积分方程的唯一解,并给出了一些例子来支持我们的所得结果。我们的结果扩展和推广了Azam et al.[2]和文献中其他一些已知的结果。
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引用次数: 0
$ omega $-$ alpha $-open sets $ omega $-$ alpha $-continuity in bitopological spaces 二元拓扑空间上的$ $-$ α -开集$ $-$ α -连续性
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2020.21599.2279
C. Granados
The purposes of this article are to introduce and characterize the notions of $ (i,j) $-$ omega $-$ alpha $-open sets in bitopological spaces. Besides, It introduces and studies the concepts of $ (i,j) $-$ omega $-$ alpha $-continuous functions. Furthermore, $ (i,j) $-$ omega $-$ alpha $-connected and $ (i,j) $-$ omega $-$ alpha $-set-connected functions are defined in bitopological spaces and some of their properties are studied.
本文的目的是介绍双拓扑空间中$ (i,j) $-$ ω $-$ α $-开集的概念并对其进行表征。此外,介绍并研究了$ (i,j) $-$ ω $-$ α $-连续函数的概念。进一步,在双拓扑空间中定义了$ (i,j) $-$ ω $-$ α $-连通函数和$ (i,j) $-$ ω $-$ α $-集连通函数,并研究了它们的一些性质。
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引用次数: 0
Some trapezoid type inequalities for generalized fractional integral 广义分数阶积分的一些梯形不等式
Q4 Mathematics Pub Date : 2022-01-01 DOI: 10.22075/IJNAA.2019.16038.1844
Fatma Ertuğral, M. Sarıkaya
In this paper, we have established some trapezoid type inequalities for generalized fractional integral. The results presented here would provide some fractional inequalities and Riemann-Liouville type fractional operators.
本文建立了一类广义分数阶积分的梯形不等式。本文给出的结果将提供一些分数不等式和Riemann-Liouville型分数算子。
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引用次数: 1
期刊
International Journal of Nonlinear Analysis and Applications
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