Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.001
Satyvir Singh, Bidesh Sengupta, M. Awasthi, Vinesh Kumar
This article investigates the effects of Atwood numbers on the flow physics of shock-driven elliptical gas inhomogeneity based on numerical simulations. We examine five different gases—He, Ne, Ar, Kr, and SF6—that are filled inside an elliptical bubble and surrounded by N2 in order to study flow physics. A high-order modal discontinuous Galerkin finite element approach is used to solve compressible Euler equations for all numerical simulations. In terms of validation studies, the numerical outcomes match the existing experimental data quite well. The findings show that the Atwood number has a significant impact on the characteristics of flow, including wave patterns, the development of vortices, the generation of vorticity, and bubble deformation. When the value of At is greater than zero i.e. At > 0, there is a notable divergence between the incident wave outside the bubble and the transmitted shock wave inside the bubble. Complex wave patterns, including reflected and newly transmitted shock, are seen during the encounter. Interestingly, the transmitted shock and incident shock waves move with the same rates at At ≈ 0. While, compared to the incident shock wave, the transmitted shock wave moves more quickly for At < 0. The influence of Atwood number is then investigated in depth by looking at the vorticity production at the elliptical interface. Furthermore, in the analysis of vorticity production processes, the important spatial integrated domains of average vorticity, dilatational and baroclinic vorticity production terms, and evolution of enstrophy are extended. Finally, a quantitative research based on the interface qualities delves deeply into the influence of the Atwood number on the flow mechanics.
本文基于数值模拟，研究了阿特伍德数对冲击驱动的椭圆气体不均匀性流动物理的影响。我们研究了五种不同的气体--He、Ne、Ar、Kr 和 SF6--它们被填充在一个椭圆形气泡内并被 N2 包围，以研究流动物理。所有数值模拟均采用高阶模态非连续 Galerkin 有限元方法求解可压缩欧拉方程。在验证研究方面，数值结果与现有实验数据相当吻合。研究结果表明，阿特伍德数对流动特性有显著影响，包括波型、涡的发展、涡度的产生和气泡变形。当 At 值大于零（即 At > 0）时，气泡外的入射波和气泡内的透射冲击波之间会出现明显的背离。在碰撞过程中会出现复杂的波形，包括反射冲击波和新传播的冲击波。有趣的是，当 At ≈ 0 时，传播冲击波和入射冲击波的移动速度相同；而与入射冲击波相比，当 At < 0 时，传播冲击波的移动速度更快。此外，在分析涡度产生过程时，还扩展了平均涡度、扩张涡度和巴氏涡度产生项的重要空间综合域，以及涡度的演化。最后，基于界面质量的定量研究深入探讨了阿特伍德数对流动力学的影响。
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Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.009
.. Nisha, Shweta Upadhyaya, Chandra Shekhar
The maximum entropy principle has grown progressively more pertinent to queueing systems. The principle of maximum entropy (PME) presents an impartial framework as a promising method to examine complex queuing processes. This principle can be employed to assess the most appropriate probability distributions for queueing scenarios in a variety of widespread industrial issues. The aspects of general service bulk arrival retrial G-queue including working vacation, state-dependent arrival, priority users, and working breakdown are all explored in this article. Real-world applications for this kind of waiting line include computer systems, industrial companies, packet-switching networks, and communication facilities, etc. The adverse users (or negative arrivals) can make an appearance when the server (operator) is preoccupied with a positive user. Consumer’s arrival patterns follow the Poisson distribution. Priority consumers and regular (ordinary) consumers are the two groups of consumers that are considered in this investigation. Priority consumers do not have to wait in line and are granted a special right of prevention that allows them to receive services before ordinary consumers. Initially, we have estimated performance metrics including orbit size and long-run probabilities in this research work. The maximum entropy approach is then used to give a comparative perusal between the system’s exact and estimated waiting times. Apart from that a bi-objective optimization model is developed to diminish both consumers waiting times and estimated costs simultaneously. It is manageable to establish an effective balance between the standard of service and operating expenses using the analytical strategy that has been provided.
最大熵原理与排队系统的关系日益密切。最大熵原理（PME）提供了一个公正的框架，是研究复杂排队过程的一种有前途的方法。这一原理可用于评估各种广泛的工业问题中排队场景的最合适概率分布。本文探讨了一般服务批量到达重审 G 型队列的各个方面，包括工作假期、状态相关到达、优先用户和工作故障。这种等待队列在现实世界中的应用包括计算机系统、工业企业、分组交换网络和通信设施等。当服务器（操作员）忙于处理积极用户时，不利用户（或消极到达者）就会出现。消费者的到达模式遵循泊松分布。优先消费者和普通消费者是本研究考虑的两类消费者。优先消费者无需排队等候，并享有特殊的预防权，可以比普通消费者更早获得服务。最初，我们在这项研究工作中估算了包括轨道大小和长期概率在内的性能指标。然后使用最大熵方法对系统的精确等待时间和估计等待时间进行比较分析。此外，还开发了一个双目标优化模型，以同时减少消费者的等待时间和估计成本。利用所提供的分析策略，可以在服务标准和运营费用之间建立有效的平衡。
{"title":"Maximum Entropy Solution for M^X/G/1 Priority Reiterate G-queue\u0000Under Working Breakdown and Working Vacation","authors":".. Nisha, Shweta Upadhyaya, Chandra Shekhar","doi":"10.33889/ijmems.2024.9.1.009","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.1.009","url":null,"abstract":"The maximum entropy principle has grown progressively more pertinent to queueing systems. The principle of maximum entropy (PME) presents an impartial framework as a promising method to examine complex queuing processes. This principle can be employed to assess the most appropriate probability distributions for queueing scenarios in a variety of widespread industrial issues. The aspects of general service bulk arrival retrial G-queue including working vacation, state-dependent arrival, priority users, and working breakdown are all explored in this article. Real-world applications for this kind of waiting line include computer systems, industrial companies, packet-switching networks, and communication facilities, etc. The adverse users (or negative arrivals) can make an appearance when the server (operator) is preoccupied with a positive user. Consumer’s arrival patterns follow the Poisson distribution. Priority consumers and regular (ordinary) consumers are the two groups of consumers that are considered in this investigation. Priority consumers do not have to wait in line and are granted a special right of prevention that allows them to receive services before ordinary consumers. Initially, we have estimated performance metrics including orbit size and long-run probabilities in this research work. The maximum entropy approach is then used to give a comparative perusal between the system’s exact and estimated waiting times. Apart from that a bi-objective optimization model is developed to diminish both consumers waiting times and estimated costs simultaneously. It is manageable to establish an effective balance between the standard of service and operating expenses using the analytical strategy that has been provided.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"86 9‐12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.002
Vishnu Uppalakkal, Venkatesh Ambati, Rajesh Nair
This study investigates the effectiveness of the Firefly Optimizer (FFA), Grey Wolf Optimizer (GWO), and Moth Flame Optimizer (MFO) metaheuristic algorithms in estimating the kinetic parameters of a single-step coal pyrolysis model. By examining the effects of the algorithmic configuration, the initial parameter estimates, and the search space size on the efficacy and efficiency of the optimization run, the research seeks to encourage the qualified engineering application of these algorithms in the field of pyrolysis modeling. Four critical analyses were conducted: convergence efficiency, robustness and repeatability, parameter tuning, and performance on noisy data. MFO and GWO had comparable fitness scores of 1.05×10-4 and 1.04×10-4 respectively in the optimisation run analysis, while FireFly Algorithm (FFA) fell behind with a score of 1.09×10-4. Regarding the calculation time, FFA showed better results than other optimizers with an execution time of 113.75 seconds. MFO showed initial promise in convergence analysis with speedy convergence, whereas GWO progressively enhanced its solutions. Additionally, GWO was shown to be the most dependable algorithm with the lowest values for average fitness score and execution time at 1.07×10-4 and 38.86 seconds. The combined values of standard deviation in fitness value and execution time for GWO were 1.07×10-6 and 0.35 indicating its robustness towards initial parameters. Similar to this, investigations on repeatability emphasized the reliability of the GWO method. Further, the parameter tuning assessments supported the balanced performance of GWO, and the studies of noise handling discovered GWO to be the most robust to noisy data. Overall, GWO is recommended as a one-stop average solution for the general engineered application; however, algorithm choice hinges on the specific requirement.
{"title":"Performance Assessment of Metaheuristic Algorithms: Firefly, Grey Wolf, and Moth Flame in Coal Pyrolysis Kinetic Parameter Estimation","authors":"Vishnu Uppalakkal, Venkatesh Ambati, Rajesh Nair","doi":"10.33889/ijmems.2024.9.1.002","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.1.002","url":null,"abstract":"This study investigates the effectiveness of the Firefly Optimizer (FFA), Grey Wolf Optimizer (GWO), and Moth Flame Optimizer (MFO) metaheuristic algorithms in estimating the kinetic parameters of a single-step coal pyrolysis model. By examining the effects of the algorithmic configuration, the initial parameter estimates, and the search space size on the efficacy and efficiency of the optimization run, the research seeks to encourage the qualified engineering application of these algorithms in the field of pyrolysis modeling. Four critical analyses were conducted: convergence efficiency, robustness and repeatability, parameter tuning, and performance on noisy data. MFO and GWO had comparable fitness scores of 1.05×10-4 and 1.04×10-4 respectively in the optimisation run analysis, while FireFly Algorithm (FFA) fell behind with a score of 1.09×10-4. Regarding the calculation time, FFA showed better results than other optimizers with an execution time of 113.75 seconds. MFO showed initial promise in convergence analysis with speedy convergence, whereas GWO progressively enhanced its solutions. Additionally, GWO was shown to be the most dependable algorithm with the lowest values for average fitness score and execution time at 1.07×10-4 and 38.86 seconds. The combined values of standard deviation in fitness value and execution time for GWO were 1.07×10-6 and 0.35 indicating its robustness towards initial parameters. Similar to this, investigations on repeatability emphasized the reliability of the GWO method. Further, the parameter tuning assessments supported the balanced performance of GWO, and the studies of noise handling discovered GWO to be the most robust to noisy data. Overall, GWO is recommended as a one-stop average solution for the general engineered application; however, algorithm choice hinges on the specific requirement.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"97 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.005
Mohammed Baljon
The human digestive system's electrical activity may be recorded noninvasively by Electrogastrography (EGG). Electrogastrograms are recordings of the electrical activity produced by the stomach muscles. EGG Several gastrointestinal disorders may be diagnosed and their severity measured using EGG signal properties. The literature has several contributions to the categorization of EGG signals. The majority of them make use of either the EGG's frequency or time data. The wide variety of EGG signals is a challenge for current automated categorization methods. Therefore, this study's objective is to develop a lightweight classifier that achieves high classification accuracy while using little processing resources. To acquire normal and abnormal EGG signals at a reasonable cost, a three-electrode measuring device is created here, with classification performed by a hybrid of Linear Vector Quantization and the African Buffalo Search Algorithm (HLVQ-ASO). The results show that the information richness of recorded EGG signals from healthy persons is greater for EGG signals captured using a surface electrode with a contact diameter of 19 mm as compared to 16 mm. To demonstrate their validity and degree of classification accuracy, the results computed using the suggested classifiers are compared with the current classifiers like Artificial Neural Network, Multimodal Support Vector Machine (MSVM), and Improved Convolutional Neural Network (CNN). Additionally, the HLVQ-ASO-based classification method is effective in differentiating between normal and diabetic EGG signals, found a sensitivity of 97% and a specificity of 98.8%. For a dataset of 500 samples, the classification accuracy is 97%.
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Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.006
Nikhil Sharma, Chirag Saraswat, Jeetesh Sharma, M. L. Mittal, A. Keprate
In the realm of supply chains, the necessity of a robust reverse logistics network is paramount. While substantial efforts have been directed towards enhancing forward logistics, the domain of reverse logistics remains underdeveloped. This article presents an approach that centers on the formulation of a reverse logistics network for an Indian e-commerce company specializing in apparel sales. Through the construction of single and multi-objective integer programs, the aim is to simultaneously mitigate economic costs and environmental repercussions. To tactfully address environmental concerns while maintaining cost efficiency, different network designs are proposed via the utilization of multi-objective Integer programs, solved using IBM ILOG CPLEX Optimization Studio an optimization software based upon simplex algorithm. The Environmental-Cost-Efficiency (ECE) framework is used to evaluate the multiple network designs. Scrutinizing the intricate equilibrium between costs and ecological implications, the study ultimately identifies an optimized reverse logistics network that yields maximal returns on investment in terms of environmental impact reduction. This comprehensive exploration of the cost-environment trade-off offers valuable guidance to similar organizations aiming to prudently minimize ecological footprints without compromising financial viability. Just as the reverse logistics network is vital within supply chains, this article underscores the potential of its strategic enhancement in driving eco-friendly and economically efficient practices.
在供应链领域，强大的逆向物流网络至关重要。尽管人们在加强正向物流方面做出了巨大努力，但逆向物流领域仍然发展不足。本文介绍了一种方法，其核心是为一家专门从事服装销售的印度电子商务公司制定逆向物流网络。通过构建单目标和多目标整数程序，目的是同时减轻经济成本和环境影响。为了在保持成本效益的同时巧妙地解决环境问题，我们利用多目标整数程序提出了不同的网络设计方案，并使用基于单纯形算法的优化软件 IBM ILOG CPLEX Optimization Studio 进行求解。环境-成本-效率（ECE）框架用于评估多种网络设计。通过仔细研究成本与生态影响之间错综复杂的平衡关系，研究最终确定了一个优化的逆向物流网络，该网络能在减少环境影响方面产生最大的投资回报。这项对成本与环境权衡的全面探索，为类似组织提供了宝贵的指导，帮助它们在不影响财务可行性的前提下，谨慎地尽量减少生态足迹。正如逆向物流网络在供应链中至关重要一样，本文强调了逆向物流网络在推动生态友好和经济高效实践方面的战略提升潜力。
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Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.008
Asmita Nirmal, Deepak Jayaswal, P. Kachare
A speaker verification system models individual speakers using different speech features to improve their robustness. However, redundant features degrade the system's performance. This paper presents Statistically Significant Duration-Independent Mel frequency Cepstral Coefficients (SSDI-MFCC) features with the Extreme Gradient Boost classifier for improving the noise-robustness of speaker models. Eight statistical descriptors are used to generate signal duration-independent features, and a statistically significant feature subset is obtained using a t-test. A redeveloped Librispeech database by adding noises from the AURORA database to simulate real-world test conditions for speaker verification is used for evaluation. The SSDI-MFCC is compared with Principal Component Analysis (PCA) and Genetic Algorithm (GA). The comparative results showed average equal error rate improvements by 4.93 % and 3.48 % with the SSDI-MFCC than GA-MFCC and PCA-MFCC in clean and noisy conditions, respectively. A significant reduction in verification time is observed using SSDI-MFCC than the complete feature set.
{"title":"Statistically Significant Duration-Independent-based Noise-Robust Speaker Verification","authors":"Asmita Nirmal, Deepak Jayaswal, P. Kachare","doi":"10.33889/ijmems.2024.9.1.008","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.1.008","url":null,"abstract":"A speaker verification system models individual speakers using different speech features to improve their robustness. However, redundant features degrade the system's performance. This paper presents Statistically Significant Duration-Independent Mel frequency Cepstral Coefficients (SSDI-MFCC) features with the Extreme Gradient Boost classifier for improving the noise-robustness of speaker models. Eight statistical descriptors are used to generate signal duration-independent features, and a statistically significant feature subset is obtained using a t-test. A redeveloped Librispeech database by adding noises from the AURORA database to simulate real-world test conditions for speaker verification is used for evaluation. The SSDI-MFCC is compared with Principal Component Analysis (PCA) and Genetic Algorithm (GA). The comparative results showed average equal error rate improvements by 4.93 % and 3.48 % with the SSDI-MFCC than GA-MFCC and PCA-MFCC in clean and noisy conditions, respectively. A significant reduction in verification time is observed using SSDI-MFCC than the complete feature set.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"74 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139894063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.003
V. Koval, Alla Shapovalova, Tatyana Fedotova, Olha Soloviova, Olena Novak, Sviatoslav Khimich
The study examines the development policy of the circular economy using the example of European Union countries based on the results of their circularity indicators. The respective countries fall into the “shift” country profile according to the distribution from the Global Circularity Gap, being consumers of the majority of global materials and generating 43% of emissions. Through the grouping of EU countries, it was found that high-circularity indicators do not necessarily determine a country's level of environmental friendliness. It has been identified that countries with high resource productivity levels (ranging from 5.8811 to 2.1397%), provided they have high and medium levels of product processing and investment in circular economy development, do not always have a positive impact on the environment. The corresponding research has led to the conclusion that the significant negative impact of the overproduction of goods and excessive resource consumption in European countries, which necessitates appropriate changes in societal activities. There is a need to adjust the policy directions of EU countries to stimulate their sustainable development in a closed-loop economy context, taking into account the specific characteristics and opportunities of each country, which will ensure a more effective adaptation to the implemented innovations. The results of this research can be applied to shaping the circular economy development policy and developing proposals for directions in societal development based on raising awareness about the consequences of interactions with the environment.
{"title":"European Circular Economy Policy-Making in Sustainability and Resource Management Development","authors":"V. Koval, Alla Shapovalova, Tatyana Fedotova, Olha Soloviova, Olena Novak, Sviatoslav Khimich","doi":"10.33889/ijmems.2024.9.1.003","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.1.003","url":null,"abstract":"The study examines the development policy of the circular economy using the example of European Union countries based on the results of their circularity indicators. The respective countries fall into the “shift” country profile according to the distribution from the Global Circularity Gap, being consumers of the majority of global materials and generating 43% of emissions. Through the grouping of EU countries, it was found that high-circularity indicators do not necessarily determine a country's level of environmental friendliness. It has been identified that countries with high resource productivity levels (ranging from 5.8811 to 2.1397%), provided they have high and medium levels of product processing and investment in circular economy development, do not always have a positive impact on the environment. The corresponding research has led to the conclusion that the significant negative impact of the overproduction of goods and excessive resource consumption in European countries, which necessitates appropriate changes in societal activities. There is a need to adjust the policy directions of EU countries to stimulate their sustainable development in a closed-loop economy context, taking into account the specific characteristics and opportunities of each country, which will ensure a more effective adaptation to the implemented innovations. The results of this research can be applied to shaping the circular economy development policy and developing proposals for directions in societal development based on raising awareness about the consequences of interactions with the environment.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"22 2-3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.004
O. Maksimova, Iosif Z. Aronov
The complexity of formalizing negotiation procedures leads to the search for fundamentally new approaches to building mathematical models. The theoretical study of consensus makes it possible to analyze various situations encountered by social groups participating in the group decision-making process, leaving aside specific characteristics of the groups. In the article, we built a mathematical model for a group with low authoritarianism among participants based on modeling using Markov chains. The analysis of the model showed that as the leniency of the group members increases, the time to reach consensus increases exponentially, apparently due to the negotiators' lack of desire to take responsibility for the decision. The differences between the number of negotiations in groups of participants with low authoritarianism are greater as the size of the group is smaller. This indicates a lack of coordination in such groups in the absence of a desire to take responsibility for the decision-making. It was revealed that in a dyad of two absolutely lenient participants, consensus is unattainable. For a group with low authoritarianism among participants, psychological "traps" such as false consensus or groupthink are possible, which can sometimes lead to managerial decisions with serious consequences.
{"title":"Achieving Consensus in Groups with Low Authoritarianism of Participants in Decision Making","authors":"O. Maksimova, Iosif Z. Aronov","doi":"10.33889/ijmems.2024.9.1.004","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.1.004","url":null,"abstract":"The complexity of formalizing negotiation procedures leads to the search for fundamentally new approaches to building mathematical models. The theoretical study of consensus makes it possible to analyze various situations encountered by social groups participating in the group decision-making process, leaving aside specific characteristics of the groups. In the article, we built a mathematical model for a group with low authoritarianism among participants based on modeling using Markov chains. The analysis of the model showed that as the leniency of the group members increases, the time to reach consensus increases exponentially, apparently due to the negotiators' lack of desire to take responsibility for the decision. The differences between the number of negotiations in groups of participants with low authoritarianism are greater as the size of the group is smaller. This indicates a lack of coordination in such groups in the absence of a desire to take responsibility for the decision-making. It was revealed that in a dyad of two absolutely lenient participants, consensus is unattainable. For a group with low authoritarianism among participants, psychological \"traps\" such as false consensus or groupthink are possible, which can sometimes lead to managerial decisions with serious consequences.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"61 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139897277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.007
G. Sinha, A. Purwar
This paper reviews optimization models in the context of water resources management and security. The article is instituted on four fundamental pillars: (a) an understanding of the quantum of key optimization techniques adopted by the researchers over the past few decades in managing water resources, (b) an enumeration of these techniques, both in terms of their brief mathematical structures and with reference to their representative applications in managing water resources so as to conform to one of the four perspectives of water security, viz. welfare, equity, sustainability, and risk, (c) an evaluation of major challenges associated with these conventional equation-based optimization techniques, including the perceptive account of the distinction between the gradient-based local optimization and non-gradient global optimization, and finally, (d) an assessment of context-sensitive appropriateness of simulation-based bottom-up modeling schemes, with special reference to evolutionary algorithms. The review emphasizes that the ontology of conventional equation-based models lies in an aggregate manifestation of social behavior and, as a result, it fails to capture individuals’ behaviors juxtaposed with ecological and hydrological systems while modeling complex water resources. On the contrary, the expediency of the domain of operational research in responding to societal problems ensuing from a scarce natural resource like water lies in bottom-up optimization schemes, which are more obliging in the sense that they can incarcerate such social explanations in the modeling frame based on local values.
{"title":"Optimization Models in Water Resources Management and Security: A Critical Review","authors":"G. Sinha, A. Purwar","doi":"10.33889/ijmems.2024.9.1.007","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.1.007","url":null,"abstract":"This paper reviews optimization models in the context of water resources management and security. The article is instituted on four fundamental pillars: (a) an understanding of the quantum of key optimization techniques adopted by the researchers over the past few decades in managing water resources, (b) an enumeration of these techniques, both in terms of their brief mathematical structures and with reference to their representative applications in managing water resources so as to conform to one of the four perspectives of water security, viz. welfare, equity, sustainability, and risk, (c) an evaluation of major challenges associated with these conventional equation-based optimization techniques, including the perceptive account of the distinction between the gradient-based local optimization and non-gradient global optimization, and finally, (d) an assessment of context-sensitive appropriateness of simulation-based bottom-up modeling schemes, with special reference to evolutionary algorithms. The review emphasizes that the ontology of conventional equation-based models lies in an aggregate manifestation of social behavior and, as a result, it fails to capture individuals’ behaviors juxtaposed with ecological and hydrological systems while modeling complex water resources. On the contrary, the expediency of the domain of operational research in responding to societal problems ensuing from a scarce natural resource like water lies in bottom-up optimization schemes, which are more obliging in the sense that they can incarcerate such social explanations in the modeling frame based on local values.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"40 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-01DOI: 10.33889/ijmems.2024.9.1.004
O. Maksimova, Iosif Z. Aronov
The complexity of formalizing negotiation procedures leads to the search for fundamentally new approaches to building mathematical models. The theoretical study of consensus makes it possible to analyze various situations encountered by social groups participating in the group decision-making process, leaving aside specific characteristics of the groups. In the article, we built a mathematical model for a group with low authoritarianism among participants based on modeling using Markov chains. The analysis of the model showed that as the leniency of the group members increases, the time to reach consensus increases exponentially, apparently due to the negotiators' lack of desire to take responsibility for the decision. The differences between the number of negotiations in groups of participants with low authoritarianism are greater as the size of the group is smaller. This indicates a lack of coordination in such groups in the absence of a desire to take responsibility for the decision-making. It was revealed that in a dyad of two absolutely lenient participants, consensus is unattainable. For a group with low authoritarianism among participants, psychological "traps" such as false consensus or groupthink are possible, which can sometimes lead to managerial decisions with serious consequences.
{"title":"Achieving Consensus in Groups with Low Authoritarianism of Participants in Decision Making","authors":"O. Maksimova, Iosif Z. Aronov","doi":"10.33889/ijmems.2024.9.1.004","DOIUrl":"https://doi.org/10.33889/ijmems.2024.9.1.004","url":null,"abstract":"The complexity of formalizing negotiation procedures leads to the search for fundamentally new approaches to building mathematical models. The theoretical study of consensus makes it possible to analyze various situations encountered by social groups participating in the group decision-making process, leaving aside specific characteristics of the groups. In the article, we built a mathematical model for a group with low authoritarianism among participants based on modeling using Markov chains. The analysis of the model showed that as the leniency of the group members increases, the time to reach consensus increases exponentially, apparently due to the negotiators' lack of desire to take responsibility for the decision. The differences between the number of negotiations in groups of participants with low authoritarianism are greater as the size of the group is smaller. This indicates a lack of coordination in such groups in the absence of a desire to take responsibility for the decision-making. It was revealed that in a dyad of two absolutely lenient participants, consensus is unattainable. For a group with low authoritarianism among participants, psychological \"traps\" such as false consensus or groupthink are possible, which can sometimes lead to managerial decisions with serious consequences.","PeriodicalId":517298,"journal":{"name":"International Journal of Mathematical, Engineering and Management Sciences","volume":"119 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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