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Analysis of Batch Arrival General Service Queue with Balking, Feedback and Second Optional Service 带有逡巡、反馈和第二选择服务的批量到达一般服务队列分析
IF 0.3 Q3 MATHEMATICS Pub Date : 2023-11-15 DOI: 10.37256/cm.4420232688
Vijaya Laxmi, H. A. Qrewi, A. A. George
This paper aims to analyze the steady-state behavior of bulk input general service queue with a second optional service (SOS), balking, and feedback facility. In this study, the server provides two kinds of services such as first essential service (FES) and SOS. The FES is provided to all arriving customers to the system while SOS is only to those customers who demand additional service. When the customer completes FES and is not satisfied with the service, he may choose to rejoin the queue (feedback) or opt for SOS or depart from the system with a certain probability. We have computed the probability-generating function of the queue-length distribution after converting the non-Markovian to Markovian process by using a supplementary variable technique. This technique is used to solve the non-Markov queue model by taking the elapsed service times as the supplementary variable so that the process becomes Markovian. This study contributes to filling the gap in the analysis of batch arrival general service queues with balking, feedback, and SOS. Furthermore, we have presented the numerical results and cost optimization. The results reveal that the higher service rate in both FES and SOS helps the system manager to run the system effectively. Similarly, in cost optimization, the system manager should make emphasize choosing optimal service rates to have a cost-benefit and less congestion in the queueing system.
本文旨在分析带有第二选择服务(SOS)、逡巡和反馈设施的批量输入一般服务队列的稳态行为。在本研究中,服务器提供两种服务,如第一基本服务(FES)和第二可选服务(SOS)。FES 提供给所有到达系统的客户,而 SOS 只提供给那些需要额外服务的客户。当客户完成 FES 并对服务不满意时,他可以选择重新加入队列(反馈)或选择 SOS 或以一定的概率离开系统。我们利用补充变量技术将非马尔可夫过程转换为马尔可夫过程后,计算了队列长度分布的概率生成函数。该技术用于求解非马尔可夫队列模型,将经过的服务时间作为补充变量,从而使该过程成为马尔可夫过程。这项研究有助于填补具有逡巡、反馈和 SOS 的批量到达一般服务队列分析的空白。此外,我们还给出了数值结果和成本优化。结果表明,在 FES 和 SOS 中,较高的服务率有助于系统管理员有效地运行系统。同样,在成本优化中,系统管理员应强调选择最佳服务率,以获得成本效益并减少排队系统的拥堵。
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引用次数: 0
Predicting Price Trends Using Sentiment Analysis: A Study of StepN’s SocialFi and GameFi Cryptocurrencies 利用情绪分析预测价格趋势:StepN 的 SocialFi 和 GameFi 加密货币研究
IF 0.3 Q3 MATHEMATICS Pub Date : 2023-11-15 DOI: 10.37256/cm.4420232572
Eik Den Yeoh, Tinfah Chung, Yuyang Wang
The cryptocurrency market, specifically the non-fungible token (NFT) market, has been gaining popularity with the rise of social finance, game finance, metaverse, and web 3.0 technologies. With the increasing interest in cryptocurrency, it is essential to develop a comprehensive understanding of the market dynamics to aid investment decisions. This paper aims to analyze the impact of news sentiment on the prices of two cryptocurrencies, Green Satoshi Token (GST) and Green Metaverse Token (GMT). The sentiment analysis model used in this study is Finance Bidirectional Encoder Representations from Transformers (FinBERT), a pre-trained deep neural network model designed for financial sentiment analysis. Additionally, we introduce the use of the Extreme Gradient Boosting (XGBoost) algorithm to evaluate the sentiment result on the model’s performance. The study period covered from March 2022 to April 2022, and the sentiment score of the result generated by FinBERT on crypto, stock market, and finance news was found to be correlated with the prices of GST and GMT. The findings suggest that the sentiment score of GST reflects changes in the price earlier than GMT. These findings have significant implications for decision-making strategies and can aid investors in making more informed decisions. The research highlights the importance of sentiment analysis in understanding the market dynamics and its potential impact on the prices of cryptocurrencies. The use of FinBERT and XGBoost algorithms provides valuable insights into market trends and can aid investors in making informed decisions.
随着社交金融、游戏金融、元宇宙和 Web 3.0 技术的兴起,加密货币市场,特别是不可兑换代币(NFT)市场,越来越受欢迎。随着人们对加密货币的兴趣与日俱增,全面了解市场动态以帮助投资决策至关重要。本文旨在分析新闻情绪对绿色中本聪代币(GST)和绿色元宇宙代币(GMT)这两种加密货币价格的影响。本研究中使用的情感分析模型是金融双向编码器表征变换器(FinBERT),这是一种预训练的深度神经网络模型,专为金融情感分析而设计。此外,我们还引入了极端梯度提升(XGBoost)算法,以评估情感结果对模型性能的影响。研究期间涵盖 2022 年 3 月至 2022 年 4 月,发现 FinBERT 生成的加密货币、股市和金融新闻结果的情绪得分与 GST 和 GMT 的价格相关。研究结果表明,GST 的情绪得分比 GMT 更早反映价格的变化。这些发现对决策策略具有重要意义,有助于投资者做出更明智的决策。这项研究强调了情绪分析在了解市场动态及其对加密货币价格的潜在影响方面的重要性。FinBERT 和 XGBoost 算法的使用为市场趋势提供了宝贵的见解,有助于投资者做出明智的决策。
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引用次数: 0
Novel Exact and Solitary Wave Solutions for The Time-Fractional Nonlinear Maccari's System 时间分数阶非线性Maccari系统的新颖精确和孤立波解
Q3 MATHEMATICS Pub Date : 2023-11-14 DOI: 10.37256/cm.4420232660
Boubekeur Gasmi, Lama Alhakim, Yazid Mati, Alaaeddin Moussa, Ali Akgül, Rania Wannan, Jihad Asad
The purpose of this research is to find analytical solutions to the time-fractional nonlinear Maccari system. The double auxiliary equation method, which has never been used before, is used to obtain these solutions. The method is cleverly applied, resulting in the generation of nine new exact solitary wave solutions that have never been found before. We also describe the system’s dynamic behavior and the bifurcation of traveling waves. Finally, we show some solutions with different coefficient values that correspond to the nine discovered solutions graphically.
本研究的目的是寻找时间分数阶非线性马卡里系统的解析解。采用以前从未使用过的双辅助方程法求解。该方法被巧妙地应用,产生了九个新的精确孤立波解,这些解以前从未被发现过。我们还描述了系统的动力特性和行波的分岔。最后,我们用图形显示了与九个发现的解对应的具有不同系数值的解。
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引用次数: 0
A Semi-Analytical Method for Solving Nonlinear Fractional-Order Swift-Hohenberg Equations 求解非线性分数阶Swift-Hohenberg方程的半解析方法
Q3 MATHEMATICS Pub Date : 2023-11-12 DOI: 10.37256/cm.4420232811
Shabnam Jasrotia, Prince Singh
In this study, we find approximate series solutions to fractional-order Swift-Hohenberg equations by using the hybrid method, i.e., accelerated homotopy perturbation transformation method (AHPTM). The accelerated homotopy perturbation method was merged with the Laplace transform to create the proposed method. We also compare the results of our proposed method with the exact solution and demonstrate that it is the useful tool for tackling nonlinear problems of fractional order. Results are presented through graphs using Mathematica software.
本文利用加速同伦摄动变换方法(AHPTM),求出分数阶Swift-Hohenberg方程的近似级数解。将加速同伦摄动法与拉普拉斯变换相结合,形成了该方法。我们还将所提出的方法与精确解的结果进行了比较,证明了它是处理分数阶非线性问题的有效工具。利用Mathematica软件将结果以图形形式呈现出来。
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引用次数: 0
Asymptotic Probability Expansions for Random Elements in a Hilbert space Hilbert空间中随机元素的渐近概率展开式
Q3 MATHEMATICS Pub Date : 2023-11-10 DOI: 10.37256/cm.4420232651
Victorien F. Konane, Claude Yaméogo, Wahabo Baguian
In this article, we approach a class of problems in probability theory, namely, the asymptotic expansion of probability. We consider an independent, identically distributed, and normalized stochastic process in a separable Hilbert space H, and associate it with the normalized partial sum.As a result, we built on the ball with a fixed center asymptotic expansion of non-uniform probabilities; our conditions on the moments are minimal, and the dependency of estimates on the covariance operator is expressed with the terms of the eigenvalue series. Likewise, the covariance operators of the random elements do not coincide. In the open ball set with fixed center a and radius , we estimate the optimal result of the Berry-Esseen type of the remainder, and the terms of the probability by the Fourier method.
本文讨论概率论中的一类问题,即概率的渐近展开式。考虑可分离Hilbert空间H中一个独立的、同分布的、归一化的随机过程,并将其与归一化部分和联系起来。因此,我们建立了一个具有固定中心的球的非均匀概率渐近展开式;我们对矩的条件是最小的,并且估计对协方差算子的依赖用特征值级数的项表示。同样,随机元素的协方差算子也不重合。在中心a和半径固定的开放球集中,我们用傅里叶方法估计了剩余部分的Berry-Esseen类型的最优结果,以及概率项。
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引用次数: 0
A New First Finite Class of Classical Orthogonal Polynomials Operational Matrices: An Application for Solving Fractional Differential Equations 一类新的经典正交多项式运算矩阵:在解分数阶微分方程中的应用
Q3 MATHEMATICS Pub Date : 2023-11-10 DOI: 10.37256/cm.4420232716
H. M. Ahmed
In this paper, new operational matrices (OMs) of ordinary and fractional derivatives (FDs) of a first finite class of classical orthogonal polynomials (FFCOP) are introduced. Also, two algorithms are proposed for using the tau and collocation spectral methods (SPMs) to get new approximate solutions to the given fractional differential equations (FDEs). These algorithms convert the given FDEs subject to initial/boundary conditions (I/BCs) into linear or nonlinear systems of algebraic equations that can be solved using appropriate solvers. To demonstrate the robustness, efficiency, and accuracy of the proposed spectral solutions, several illustrative examples are presented. The obtained results show that the proposed algorithms exhibit higher accuracy compared to existing techniques in the literature. Furthermore, an error analysis is provided.
本文介绍了一类有限经典正交多项式(FFCOP)的常阶导数和分数阶导数的新的运算矩阵(OMs)。此外,本文还提出了两种算法,分别利用tau谱法和搭配谱法(SPMs)求解给定分数阶微分方程的新近似解。这些算法将给定的受初始/边界条件(I/ bc)约束的fde转换为可以使用适当求解器求解的线性或非线性代数方程系统。为了证明所提出的光谱解的鲁棒性、效率和准确性,给出了几个说明性的例子。结果表明,与文献中已有的算法相比,本文提出的算法具有更高的精度。此外,还提供了误差分析。
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引用次数: 0
Innovative Method for Computing Approximate Solutions of Non-Homogeneous Wave Equations with Generalized Fractional Derivatives 具有广义分数阶导数的非齐次波动方程近似解的创新计算方法
Q3 MATHEMATICS Pub Date : 2023-11-09 DOI: 10.37256/cm.4420233593
Mir Sajjad Hashemi, Mohammad Mirzazadeh, Dumitru Baleanu
In this work, a well-known non-homogeneous wave equation with temporal fractional derivative is approximately investigated. A recently defined generalized non-local fractional derivative is utilized as the fractional operator. A novel technique is proposed to approximate the solutions of wave equation with generalized fractional derivative. The proposed method is based on the shifted Chebyshev polynomials and a combination of collocation and residual function methods. Theoretical analysis of the convergence of the proposed method is performed. Approximate solutions are derived in both rectangular and non-rectangular (general) domains.
本文对一个著名的具有时间分数阶导数的非齐次波动方程进行了近似研究。利用最近定义的广义非局部分数阶导数作为分数算子。提出了一种用广义分数阶导数逼近波动方程解的新方法。该方法基于移位切比雪夫多项式,并结合了配点法和残差函数法。对该方法的收敛性进行了理论分析。在矩形和非矩形(一般)域上都推导出近似解。
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引用次数: 0
Asymptotic Behavior of a Parametric Algebraic Surface 参数代数曲面的渐近性质
Q3 MATHEMATICS Pub Date : 2023-11-08 DOI: 10.37256/cm.4420232693
S. Pérez-Díaz, M.A. Fernández de Sevilla, J.R. Magdalena-Benedicto
Starting from the concept of infinite branches and approximation surfaces, we present a method to compute infinite branches and surfaces having the same asymptotic behavior as an input parametric surface. The results obtained in this work represent a breakthrough for the study of surfaces and their applications.
从无穷分支和近似曲面的概念出发,给出了一种计算无穷分支和面与输入参数曲面具有相同渐近特性的方法。在这项工作中获得的结果代表了表面及其应用研究的一个突破。
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引用次数: 0
Bifurcation Analysis and Chaotic Behavior of the Concatenation Model with Power-Law Nonlinearity 幂律非线性串联模型的分岔分析及混沌行为
Q3 MATHEMATICS Pub Date : 2023-11-08 DOI: 10.37256/cm.4420233606
Lu Tang, Anjan Biswas, Yakup Yildirim, Asim Asiri
This paper presents a comprehensive analysis of the concatenation model with power-law nonlinearity. The research encompasses multiple key aspects, providing a detailed exploration of the model's behavior and implications within the context of nonlinear dynamics and optics. The study commences with an in-depth bifurcation analysis, aiming to unravel the intricate dynamics and transitions within the system. This analysis not only uncovers the system's behavior under varying conditions but also sheds light on its stability and the emergence of bifurcation phenomena. Our research delves into the retrieval of soliton solutions within the model. The exploration of solitons is of paramount significance, offering insights into localized, self-sustaining waveforms that often play a crucial role in nonlinear systems. These soliton solutions are identified, characterized, and their relevance to the model is established. The paper addresses the complex dynamics of the system in the presence of perturbation terms. By incorporating perturbations into the analysis, we elucidate how external influences impact the system's behavior and lead to chaotic phenomena. This analysis helps uncover the system's sensitivity to external factors and provides a deeper understanding of chaotic behavior.
本文对具有幂律非线性的串联模型进行了全面的分析。该研究包括多个关键方面,在非线性动力学和光学的背景下提供了模型行为和影响的详细探索。研究从深入的分岔分析开始,旨在揭示系统内复杂的动态和转变。这种分析不仅揭示了系统在不同条件下的行为,而且揭示了系统的稳定性和分岔现象的出现。我们的研究深入到模型中孤子解的检索。对孤子的探索具有至关重要的意义,它提供了对非线性系统中经常起关键作用的局部、自我维持波形的见解。这些孤子解被识别、表征,并且它们与模型的相关性被建立。本文讨论了系统在存在摄动项时的复杂动力学。通过将扰动纳入分析,我们阐明了外部影响如何影响系统的行为并导致混沌现象。这种分析有助于揭示系统对外部因素的敏感性,并提供对混沌行为的更深层次的理解。
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引用次数: 0
Unified Solution of Some Properties Related to λ-Pseudo Starlike Functions λ-伪星形函数若干性质的统一解
Q3 MATHEMATICS Pub Date : 2023-11-07 DOI: 10.37256/cm.4420232366
Musthafa Ibrahim, K. R. Karthikeyan
To unify and extend the study of various subclasses of starlike and convex functions, here we introduce a new subclass of λ-pseudo starlike symmetric functions. To add more versatility to our study, we have defined a new class of functions subordinate to a conic region impacted by the well-known Janowski functions. This study extends well-known results and unifies the studies of various subclasses of α-convex functions. Coefficient estimates of the inverse function and the Fekete-Szegő result for the function class are the main results. Some interesting special cases of our main results are also presented here.
为了统一和扩展星形函数和凸函数的各种子类的研究,本文引入了λ-伪星形对称函数的一个新的子类。为了给我们的研究增加更多的通用性,我们定义了一类新的函数,这些函数隶属于受众所周知的Janowski函数影响的二次区域。本研究推广了已知的结果,统一了α-凸函数的各种子类的研究。反函数的系数估计和函数类的fekete - szegov结果是主要的结果。本文还介绍了我们主要结果的一些有趣的特殊情况。
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引用次数: 0
期刊
Contemporary Mathematics
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