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Nonpolynomial Spline for Numerical Solution of Singularly Perturbed Convection-Diffusion Equations with Discontinuous Source Term 非多项式样条曲线用于数值求解具有不连续源项的奇异扰动对流扩散方程
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.032
Shilpkala T. Mane, R. Lodhi
This research addresses the numerical solution of singularly perturbed convection-diffusion kind boundary value problem of second-order with a discontinuity term. Due to the perturbation parameter and discontinuity term, the problem solution has a boundary layer and an interior layer. A nonpolynomial cubic spline method is utilized to solve the boundary value problem. A specific set of parameters associated with nonpolynomial spline is used to tailor the method. A comprehensive analysis of the stability and convergence of the recommended method is presented which gives second-order convergence results. The suggested method is implemented on two examples, and the obtained results are contrasted with an existing method, highlighting the precision and efficacy of the proposed method, which would enhance the method's novelty.
本研究涉及带有不连续项的二阶奇异扰动对流扩散类边界值问题的数值求解。由于扰动参数和不连续项的存在,问题解具有边界层和内部层。利用非多项式三次样条线法求解边界值问题。与非多项式样条曲线相关的一组特定参数用于定制该方法。对推荐方法的稳定性和收敛性进行了全面分析,并给出了二阶收敛结果。建议的方法在两个实例中得到了实施,所得到的结果与现有方法进行了对比,突出了建议方法的精确性和有效性,从而增强了该方法的新颖性。
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引用次数: 0
An Overview of Multi-Criteria Decision Analysis and the Applications of AHP and TOPSIS Methods 多标准决策分析概述以及 AHP 和 TOPSIS 方法的应用
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.030
S. Chaube, Sangeeta Pant, Anuj Kumar, Shaurya Uniyal, M. K. Singh, K. Kotecha, Akshay Kumar
The integration of multiple technical, economic, environmental, and social criteria establishes Multi-Criteria Decision Analysis (MCDA) as a dependable decision-making tool in the context of interdisciplinary research. This study employs a literature-based methodology to illustrate how MCDA, particularly utilizing the Analytical Hierarchy Process (AHP) and TOPSIS models, has been utilized to tackle intricate decision-making issues. It also highlights the noteworthy discoveries derived from real-world applications, drawing upon previous research and case studies. This study explores the methodologies employed in the commonly utilized AHP and TOPSIS approaches, highlighting their broad applicability across various industries from 2000 to 2023. Additionally, a comprehensive examination of the applications of MCDA has been organized into five distinct sectors, namely supply chain, healthcare, business, resource management, and engineering & manufacturing.
多标准决策分析(MCDA)融合了多种技术、经济、环境和社会标准,是跨学科研究中一种可靠的决策工具。本研究采用基于文献的方法,说明 MCDA,特别是利用层次分析法(AHP)和 TOPSIS 模型,是如何被用来解决复杂的决策问题的。本研究还借鉴了以往的研究和案例研究,强调了从实际应用中得出的值得注意的发现。本研究探讨了常用的 AHP 和 TOPSIS 方法所采用的方法论,强调了它们在 2000 年至 2023 年期间在各行各业的广泛适用性。此外,本研究还按供应链、医疗保健、商业、资源管理以及工程与制造等五个不同领域对 MCDA 的应用进行了全面考察。
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引用次数: 0
Importance-based Resilience Assessment and Optimization of Unmanned Ship Swarm System 基于重要性的无人船群系统复原力评估与优化
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.031
Hongyan Dui, Kailong Zhang, Wanyun Xia
Based on the unmanned ship swarm system, a resilience model for unmanned ship swarms is proposed by comprehensively considering the preventive indicators, robustness indicators, recoverability indicators, and reconfigurability indicators of the swarm system. Firstly, preventive and robust indicators are proposed based on the characteristics of the unmanned ship swarm system, and the improvement of system performance efficiency by redundant unmanned ships is established as a recoverability indicator. Then, reconfigurable indicators are proposed based on importance, and the resilience indicator of the unmanned ship swarm is determined. Finally, a numerical example is used to model and simulate the performance change and capricious process of the unmanned ship swarm. Most of the research on the resilience assessment model of unmanned ship swarms considered too single indicators. The model of the unmanned ship swarm under attack is constructed, and the superiority of the resilience optimization strategy proposed in this paper is verified.
基于无人船群系统,综合考虑无人船群系统的预防性指标、鲁棒性指标、可恢复性指标和可重构性指标,提出了无人船群的弹性模型。首先,根据无人船群系统的特点提出了预防性指标和鲁棒性指标,并将冗余无人船提高系统性能效率确立为可恢复性指标。然后,根据重要性提出了可重构指标,并确定了无人船群的弹性指标。最后,以数值实例对无人船群的性能变化和任性过程进行建模和仿真。大多数关于无人船群抗逆性评估模型的研究考虑的指标过于单一。本文构建了遭受攻击的无人船群模型,验证了本文提出的弹性优化策略的优越性。
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引用次数: 0
Impact of Carbon Emission Policy on Fresh Food Supply Chain Model for Deteriorating Imperfect Quality Items 碳排放政策对生鲜食品供应链不完美质量恶化模型的影响
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.027
Anil Dhanda, Mandeep Mittal, S. Chawla, Jagdish Prasad
Carbon emissions can be decreased by adopting the carbon cap-and-alternate policy. The current study suggests a carbon buying and selling mechanism for things that are deteriorating or of poor quality while taking into account chilled logistics services in a fresh food supply chain. In addition to deliveries of perishables, suppliers also provide retailers with chilled logistics services and carbon emission certificates for excess inventory. The retail price, the cost of chilled strategies, and the contributions to various carbon trading options—such as internal carbon trade, external carbon exchange, and carbon exchange both internally and externally for the destruction of low-quality goods have all been evaluated in this paper. The store network members give estimating systems to new food, emanation permits and refrigerated planned operations administrations. We likewise uncover the connection between carbon purchasing and advancing and refrigerated strategies administrations and test out their joint effect on the provider retailer's helpful dating. Store network donors are also encouraged to participate in the carbon exchanging mechanism, which benefits from more sophisticated asset utilisation and more ruthless stockpile chains. The numerical examples have helped to validate the results. In the end, a thorough sensitivity analysis has been provided.
碳排放可以通过采用碳限额替代政策来减少。本研究建议针对变质或劣质物品建立碳买卖机制,同时考虑生鲜食品供应链中的冷藏物流服务。除了易腐食品的交付,供应商还为零售商提供冷藏物流服务和多余库存的碳排放证书。本文对零售价格、冷藏策略成本以及各种碳交易方案的贡献进行了评估,如内部碳交易、外部碳交换以及销毁劣质商品的内部和外部碳交换。商店网络成员为新食品、排放许可和冷藏计划运营管理提供估算系统。我们同样揭示了碳采购与推进和冷藏策略管理之间的联系,并测试了它们对供应商零售商的有帮助约会的共同影响。我们还鼓励商店网络捐助者参与碳交换机制,这将从更复杂的资产利用和更无情的库存链中获益。数字实例有助于验证结果。最后,还提供了详尽的敏感性分析。
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引用次数: 0
Two Discrete-time Age-based Replacement Problems with/without Discounting 有/无贴现的两个基于年龄的离散时间置换问题
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.021
Jingchi Wu, Cunhua Qian, Tadashi Dohi
This paper considers two classical age-based replacement models within a discrete-time framework: a standard age replacement model and an opportunistic age replacement model. Specifically, our analysis incorporates the concept of replacement priority in situations where failure replacement and preventive replacement occur at a given age or opportunity. We explore two priority cases within each replacement model. First, we formulate optimal preventive replacement policies aimed at minimizing the associated expected cost rate in the age replacement model and the opportunistic age replacement model by the familiar renewal reward argument. Next, we extend the findings presented earlier to scenarios involving discounting. We develop formulations for the expected total discounted costs over an infinite time horizon and obtain optimal preventive replacement policies minimizing these total expected costs. Additionally, we explore unified models incorporating probabilistic priority. To provide practical insights, we present numerical illustrations using real failure data from pole air switches, comparing the performance of these optimal preventive policies.
本文在离散时间框架内考虑了两种经典的基于年龄的替换模型:标准年龄替换模型和机会主义年龄替换模型。具体来说,我们的分析结合了在给定年龄或机会发生故障替换和预防性替换时的替换优先级概念。我们探讨了每种替换模型中的两种优先级情况。首先,我们通过熟悉的更新奖励论证,在年龄替换模型和机会主义年龄替换模型中制定了旨在最小化相关预期成本率的最优预防性替换政策。接下来,我们将前面的研究结果扩展到涉及贴现的情况。我们提出了无限时间跨度内预期总贴现成本的公式,并得到了使这些总预期成本最小化的最优预防性替代政策。此外,我们还探讨了包含概率优先权的统一模型。为了提供实用的见解,我们使用电杆空气开关的真实故障数据进行了数值说明,比较了这些最优预防性政策的性能。
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引用次数: 0
A Novel Approach for Implementing and Optimizing Proportional-Resonant Controller and L-C-L Filter for Single-Phase Grid-tie Inverter 实施和优化单相并网逆变器比例-谐振控制器和 L-C-L 滤波器的新方法
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.026
Nibedita Swain, Papia Ray, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Asyraf Afthanorhan
This article introduces the design procedure of a 1-phase full-bridge inverter for grid-connected applications. The main idea of modelling a full-bridge inverter is that it plays a vital role in solar energy systems. The dynamic equations are formed with the state-space averaging (SSA) technique. A Small-signal averaged model of a full-bridge inverter is constructed by assuming grid current and capacitor voltage as the two states. The voltage and current controller scheme are based on the frequency domain approach. The voltage controller is designed to maintain fixed voltage, and the current controller is used for controlling grid current. The LCL filter is connected to the inverter to provide better harmonic elimination and filter size minimization. This filter is formed by parallel-series combination of inductance and capacitance to improve the overall system performance. Here, a passive damping method is incorporated to make a balanced steady system. Finally, a proportional integral and proportional resonant (PI-PR) controller is introduced to provide better stability and tracking. The detailed analysis of PR controller is explored and demonstrated by MATLAB simulation.
本文介绍了用于并网应用的单相全桥逆变器的设计程序。全桥逆变器在太阳能系统中起着至关重要的作用,因此对其进行建模的主要思路是:利用状态空间平均(SSA)技术形成动态方程。动态方程是通过状态空间平均(SSA)技术形成的。假设电网电流和电容器电压为两种状态,从而构建了全桥逆变器的小信号平均模型。电压和电流控制器方案基于频域方法。电压控制器用于维持固定电压,电流控制器用于控制电网电流。LCL 滤波器与逆变器相连,以提供更好的谐波消除和最小化滤波器尺寸。该滤波器由电感和电容的并联串联组合而成,以提高整个系统的性能。此外,还采用了一种无源阻尼方法,以实现平衡稳定的系统。最后,引入了比例积分和比例谐振(PI-PR)控制器,以提供更好的稳定性和跟踪性能。MATLAB 仿真对 PR 控制器进行了详细分析和演示。
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引用次数: 0
A Spatial Error Model in Structural Equation for the Human Development Index Modeling 人类发展指数建模结构方程中的空间误差模型
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.028
Anik Anekawati, Purhadi, Mohammad Rofik, Syaifurrahman Hidayat
Spatial regression, particularly the Spatial Error Model (SERM), was utilized in prior studies to analyze Human Development Index (HDI) modeling. However, the studies were unable to determine which dimension among the three defined by the UN and BPS had the significant impact on HDI, as they constructed models based on the indicators used for the interpretation of the dimensions. Therefore, a comprehensive analysis combining spatial regression and Structural Equation Modeling (SEM), known as spatial SEM, was deemed necessary. This is the reason the current study aimed to develop SERM-SEM modeling holistically. The model parameters were estimated using the Generalized Method of Moments (GMM). To assess spatial dependency, the Lagrange Multiplier (LM) method was employed, with a distinct model error distribution compared to the error distribution of the traditional spatial model. The result of the LM test development showed that, under the null hypothesis, the LM test statistics followed a distribution. The results of the SERM-SEM model development were applied to HDI modeling using data in 2022 with three latent variables, namely a Long and Healthy Life (LHL), Knowledge (Know_L), and a Decent Standard of Living (DLS) (based on UN standards). The assessment of the outer model in SEM was based on the loading factor values that exceed 0.5 and their significance. This evaluation aimed to identify indicators that effectively explained or measured latent variables, so it got the revised model in SEM. These indicators are LHL2 and LHL 4 to form LHL. DLS1 and DLS3 are indicators to make up DLS, and for Know_L, they are K2 and K3. The revised SEM model was analyzed using spatial. The results of the spatial dependency test showed that the HDI model significantly led to the SERM-SEM model. Knowledge and a decent standard of living variables significantly influence HDI.
以往的研究利用空间回归,特别是空间误差模型(SERM)来分析人类发展指数(HDI)模型。然而,这些研究无法确定联合国和英国统计局定义的三个维度中哪个维度对人类发展指数有重大影响,因为它们是根据用于解释维度的指标构建模型的。因此,有必要结合空间回归和结构方程建模(SEM)(即空间 SEM)进行综合分析。这也是本研究旨在全面开发 SERM-SEM 模型的原因。模型参数采用广义矩量法 (GMM) 估算。为评估空间依赖性,采用了拉格朗日乘数(LM)方法,与传统空间模型的误差分布相比,该方法具有独特的模型误差分布。LM 检验的结果表明,在零假设下,LM 检验统计量服从分布。将 SERM-SEM 模型的开发结果应用于人类发展指数建模,使用的是 2022 年的数据,其中包含三个潜变量,即健康长寿(LHL)、知识(Knowledge_L)和体面生活水平(DLS)(基于联合国标准)。SEM 外部模型的评估基于超过 0.5 的负荷因子值及其显著性。该评估旨在确定能够有效解释或衡量潜在变量的指标,因此得到了 SEM 中的修订模型。这些指标是 LHL2 和 LHL4,组成 LHL。DLS1 和 DLS3 是构成 DLS 的指标,而对于 Know_L,它们是 K2 和 K3。对修订后的 SEM 模型进行了空间分析。空间依赖性检验结果表明,人类发展指数模型明显领先于 SERM-SEM 模型。知识和体面的生活水平变量对人类发展指数有重大影响。
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引用次数: 0
Study of Code Smells: A Review and Research Agenda 代码气味研究:回顾与研究议程
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.025
Stuti Tandon, Vijay Kumar, V. B. Singh
Code Smells have been detected, predicted and studied by researchers from several perspectives. This literature review is conducted to understand tools and algorithms used to detect and analyze code smells to summarize research agenda. 114 studies have been selected from 2009 to 2022 to conduct this review. The studies are deeply analyzed under the categorization of machine learning and non-machine learning, which are found to be 25 and 89 respectively. The studies are analyzed to gain insight into algorithms, tools and limitations of the techniques. Long Method, Feature Envy, and Duplicate Code are reported to be the most popular smells. 38% of the studies focused their research on the enhancement of tools and methods. Random Forest and JRip algorithms are found to give the best results under machine learning techniques. We extended the previous studies on code smell detection tools, reporting a total 87 tools during the review. Java is found to be the dominant programming language during the study of smells.
研究人员从多个角度对代码气味进行了检测、预测和研究。本文献综述旨在了解用于检测和分析代码气味的工具和算法,并总结研究议程。本综述选取了 2009 年至 2022 年的 114 项研究。这些研究按机器学习和非机器学习分类进行了深入分析,发现这两类研究分别为 25 项和 89 项。通过分析这些研究,我们可以深入了解这些技术的算法、工具和局限性。据报道,"长方法"、"妒忌特征 "和 "重复代码 "是最流行的气味。38% 的研究侧重于工具和方法的改进。随机森林算法和 JRip 算法被认为是机器学习技术中效果最好的。我们扩展了之前关于代码气味检测工具的研究,在审查期间共报告了 87 种工具。在气味研究中,Java 被认为是最主要的编程语言。
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引用次数: 0
Reliability Equivalence Factors for Coherent System using Survival Signature 使用生存特征的相干系统可靠性等效系数
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.034
Deepak, Garima Chopra, Deeksha
This study presents a methodology aimed at enhancing the performance of coherent systems through the application of survival signature analysis, focusing on the calculation of reliability equivalence factors (REFs). In the context of system improvement, the selection of reliability improvement strategies, such as reduction and duplication, depends on various factors like space limitations, costs, and other constraints. The importance of REF lies in their ability to quantify the extent of reliability improvement, providing a clear metric for decision-makers to assess the cost-effectiveness of various enhancement strategies. The analysis focuses on two distinct types of REFs, namely, mean reliability equivalence factors (MREFs) and survival reliability equivalence factors (SREFs), targeted at reliability enhancement via strategies including component failure rate reduction and the implementation of warm standby duplication. Both perfect and imperfect switching scenarios in warm duplication are examined, with survival signature analysis applied to determine the system's survival function and mean time to failure (MTTF). The methodology's effectiveness is illustrated through a case study of a six-unit bridge system, where the components are modeled using exponential and Weibull distributions. REFs are evaluated for sequential upgrades in either individual components or entire component types. The study also conducts a comparative analysis between the reliability and MTTF of the original and improved systems across different improvement techniques.
本研究提出了一种方法,旨在通过应用生存特征分析来提高连贯系统的性能,重点是可靠性等效因子(REF)的计算。在系统改进的背景下,可靠性改进策略(如减少和重复)的选择取决于各种因素,如空间限制、成本和其他制约因素。REF 的重要性在于其量化可靠性改进程度的能力,为决策者评估各种改进策略的成本效益提供了明确的衡量标准。分析侧重于两种不同类型的 REF,即平均可靠性等效因子(MREF)和存活可靠性等效因子(SREF),针对的是通过降低组件故障率和实施热备用复制等策略来提高可靠性。研究了暖态重复中完美和不完美的切换情况,并应用生存特征分析确定系统的生存函数和平均故障时间(MTTF)。通过一个六单元桥梁系统的案例研究,说明了该方法的有效性,该系统中的组件使用指数分布和 Weibull 分布建模。针对单个组件或整个组件类型的连续升级,对 REF 进行了评估。研究还对不同改进技术下原始系统和改进系统的可靠性和 MTTF 进行了比较分析。
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引用次数: 0
Quartic B-Spline Method for Non-Linear Second Order Singularly Perturbed Delay Differential Equations 非线性二阶奇异扰动延迟微分方程的四元 B-样条法
Pub Date : 2024-06-01 DOI: 10.33889/ijmems.2024.9.3.035
Shilpa Malge, R. Lodhi
This paper introduces a novel computational approach utilizing the quartic B-spline method on a uniform mesh for the numerical solution of non-linear singularly perturbed delay differential equations (NSP-DDE) of second-order with a small negative shift. These types of equations are encountered in various scientific and engineering disciplines, including biology, physics, and control theory. We are using quartic B-spline methods to solve NSP-DDE without linearizing the equation. Thus, the set of equations generated by the quartic B-spline technique is non-linear and the obtained equations are solved by Newton-Raphson method. The success of the approach is assessed by applying it to a numerical example for different values of perturbation and delay parameter parameters, the maximum absolute error (MAE) is obtained via the double mesh principle. The convergence rate of the proposed method is four. Obtained numerical results are compared with existing numerical techniques in literature and observe that the proposed method is superior with other numerical techniques. The quartic B-spline method provides the numerical solution at any point of the given interval. It is easy to implement on a computer and more efficient for handling second-order NSP-DDE.
本文介绍了一种新颖的计算方法,即利用均匀网格上的四元 B-样条法数值求解具有小负位移的二阶非线性奇异扰动延迟微分方程(NSP-DDE)。这类方程在生物学、物理学和控制理论等多个科学和工程学科中都会遇到。我们使用四元 B 样条法求解 NSP-DDE 时,不对方程进行线性化处理。因此,四次 B 样条技术生成的方程组是非线性的,所得到的方程用牛顿-拉夫逊法求解。通过将该方法应用于不同扰动值和延迟参数值的数值示例,评估了该方法的成功性,并通过双网格原理获得了最大绝对误差(MAE)。建议方法的收敛速率为 4。获得的数值结果与文献中现有的数值技术进行了比较,发现所提出的方法优于其他数值技术。四元 B-样条曲线法提供了给定区间内任意点的数值解。该方法易于在计算机上实现,并且在处理二阶 NSP-DDE 时更为高效。
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引用次数: 0
期刊
International Journal of Mathematical, Engineering and Management Sciences
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