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An Comparison of Different Cluster Head Selection Techniques for Wireless Sensor Network 无线传感器网络不同簇头选择技术的比较
Q4 Mathematics Pub Date : 2024-07-19 DOI: 10.52783/cana.v31.1073
E. Akila, Baby Deepa
Wireless Sensor Network is based on the hierarchical cluster and hence the Cluster Heads (CHs) will consume some more energy owing to the additional overload for the receiving and the aggregating of data from that of their member sensor nodes and this transmits all the aggregated data to its Base Station (BS). So the proper selection of the CH has a vital role to play in conserving the energy of the sensor nodes for the purpose of prolonging the WSNs and their lifetime. Here in this work, a proposed Low Energy Adaptive Clustering Hierarchy (LEACH), the Genetic Algorithm (GA) and finally the Chemical Reaction Optimization (CRO) algorithm is considered. The LEACH is a popular clustering algorithm wherein the sensor nodes will elect themselves to be the CH having a certain probability. But the main disadvantage of this algorithm will be that it may choose a CH having low energy that will be able to die quickly and thereby degrades the network performance. So there is a large number of algorithms that are developed for improving the LEACH. These results have been compared with certain currently existing algorithms for being able to demonstrate the proposed algorithm and its superiority. 
无线传感器网络以分层簇为基础,因此簇首(CHs)在接收和聚合来自其成员传感器节点的数据时会额外超负荷消耗更多能量,然后将所有聚合数据传输到其基站(BS)。因此,为了延长 WSN 及其寿命,正确选择 CH 在节约传感器节点的能量方面起着至关重要的作用。在这项工作中,考虑了所提出的低能耗自适应聚类层次结构(LEACH)、遗传算法(GA)以及化学反应优化(CRO)算法。LEACH 是一种流行的聚类算法,在这种算法中,传感器节点将以一定的概率选举自己为 CH。但这种算法的主要缺点是,它可能会选择一个能量低、能够快速死亡的 CH,从而降低网络性能。因此,人们开发了大量算法来改进 LEACH。这些结果已与某些现有算法进行了比较,以证明所提出的算法及其优越性。
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引用次数: 0
Matthews Partial Metric Space Using F-Contraction 马修斯偏度量空间的 F 折中法
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1064
Bonuga Vijayabaskerreddy
Following the notion of partial metric space (briefly PMS) established by Matthaws [1], in this present research article, we proved common fixed point theorem for two pair of self maps using the weakly compatible mappings through   -contraction. In addition, we give an illustrative example.
根据 Matthaws [1]建立的部分度量空间(简称 PMS)的概念,在本研究文章中,我们利用弱兼容映射通过-收缩证明了两对自映射的公共定点定理。此外,我们还给出了一个示例。
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引用次数: 0
Exploration of NαIg-Closed and NαIg-Open Sets in Nano Ideal Topological Spaces with Practical Applications of Nano Ideal Topological spaces 纳米理想拓扑空间中的 NαIg-Closed 和 NαIg-Open 集探索与纳米理想拓扑空间的实际应用
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1058
Email D. Vinodhini
In this study, we explore the concepts of NαIg-closed sets (nano αIg-closed sets) and NαIg-open sets (nano αIg-open sets) in nano ideal topological spaces. We discuss their relationships with other forms of nano ideal sets and illustrate the abstract concepts using appropriate examples. This research delves into the application of NαIg-closed and NαIg-open sets across diverse domains, ranging from network security to healthcare and environmental monitoring. By leveraging these mathematical concepts, we aim to enhance anomaly detection, optimize network operations, and improve decision-making processes across various sectors. This article outlines the methodologies and potential benefits of integrating NαIg-closed and NαIg-open sets in different application domains.
在本研究中,我们探讨了纳米理想拓扑空间中的 NαIg 闭集(纳米 αIg 闭集)和 NαIg 开集(纳米 αIg 开集)的概念。我们讨论了它们与其他形式的纳米理想集合的关系,并用适当的例子说明了这些抽象概念。这项研究深入探讨了 NαIg 闭集和 NαIg 开集在从网络安全到医疗保健和环境监测等不同领域的应用。通过利用这些数学概念,我们的目标是加强异常检测、优化网络运行以及改进各领域的决策过程。本文概述了在不同应用领域整合 NαIg 封闭集和 NαIg 开放集的方法和潜在优势。
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引用次数: 0
ARRN: Leveraging Demographic Context for Improved Semantic Personalization in Hybrid Recommendation Systems ARRN:利用人口统计学语境改进混合推荐系统中的语义个性化
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1059
Harshali Bhuwad, Dr.Jagdish.W.Bakal
This paper proposes a novel recommendation system model, the Attentive Recurrent Recommender Network (ARRN), that addresses the challenge of incorporating demographic information into recommendations. ARRN leverages user-item interaction data along with age information from the data set to deliver personalized recommendations specifically tailored to different age groups. The approach utilizes embedding techniques and semantic analysis to capture user preferences and behaviors associated with their age. An attention mechanism prioritizes relevant features based on user age groups, enabling ARRN to dynamically adapt recommendations for users with limited interaction history. The paper presents a comprehensive evaluation of ARRN’s performance compared to existing state-of-the-art recommendation algorithms. The results demonstrate that ARRN outperforms existing approaches, particularly for users with limited interaction history, by effectively mitigating the cold-start problem in age-sensitive product domains.
本文提出了一种新颖的推荐系统模型--注意递归推荐网络(ARRN),以解决将人口信息纳入推荐的难题。ARRN 利用用户与项目的交互数据以及数据集中的年龄信息,提供专门针对不同年龄组的个性化推荐。该方法利用嵌入技术和语义分析来捕捉与年龄相关的用户偏好和行为。注意力机制会根据用户年龄组对相关特征进行优先排序,从而使 ARRN 能够为交互历史有限的用户动态调整推荐。本文对 ARRN 的性能进行了全面评估,并与现有的最先进推荐算法进行了比较。结果表明,ARRN 通过有效缓解年龄敏感产品领域的冷启动问题,其性能优于现有方法,尤其是针对互动历史有限的用户。
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引用次数: 0
The Fractional Calculus of Product of Special Functions 特殊函数积的分式微积分
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1054
Karuna Laddha, Deepak Kumar Kabra, Seema Kabra
Introduction: In this paper, we aim to establish a closed form for the Pathway fractional integral operator and Marichev-Saigo-Maeda fractional integral and differential operators involving the product of  Special G function and Generalized Mittag – Leffler function. The obtained results are evaluated in terms of generalized Wright hyper geometric function. 
引言本文旨在为 Pathway 分数积分算子和 Marichev-Saigo-Maeda 分数积分算子以及涉及特殊 G 函数和广义 Mittag - Leffler 函数乘积的微分算子建立封闭形式。所获得的结果用广义赖特超几何函数进行评估。
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引用次数: 0
Some Applications via Coupled Fixed Point Theorems for (????, ????)-H-Contraction Mappings in Partial b- Metric Spaces 部分 b-公设空间中 (????, ????)-H-Contraction 映射的耦合定点定理的一些应用
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1055
Kavvampalli Jyothirmayi, V. .. Raju
This work establishes unique common coupled fixed point theorems for given mapping in complete partial b-metric spaces with the concept of (α, ϕ)-H-contraction in the context of partial b-metric spaces. (α, ϕ)-H-contraction Furthermore, we show how the results may be used and present applications to integral equations and Homotopy theory. Introduction In previous work, authors have discussed various fixed point theorems on partial b-metric spaces with (ψ, ϕ)-weakly contractive mappings, α−ψ-contractive type, Suzuki type contractions, rational contraction and H-weak contractions. In our work, with the help of (α, ϕ)-H-contraction, we investigated coupled fixed point theorems in partial b-metric spaces. Objectives: Finding the unique common fixed points for a given mapping in partial b-metric spaces via (α, ϕ)-H-contraction Methods with the help of α-admissible mapping, H-rational type, (α, ϕ)−H-contraction we have shown coupled fixed point findings in complete partial b-metric spaces Results: We obtained unique common coupled fixed point results via (α, ϕ)−H-contraction type for the given mapping in complete partial b-metric spaces. Conclusions: This present study uses contractive mappings of the   H type in the reference of partial b-metric space to give some fixed point results, appropriate examples that illustrate the main findings, In addition, boundary value problems and homotopy applications are given.
本研究以局部 b-metric空间为背景,利用 (α, j)-H-contraction 概念,为完整局部 b-metric空间中的给定映射建立了唯一的公共耦合定点定理。(α, ϕ)-H-contraction 此外,我们还展示了如何使用这些结果,并介绍了它们在积分方程和同调理论中的应用。引言 在之前的工作中,作者们讨论了具有 (ψ, ϕ) 弱收缩映射、α-ψ-收缩类型、铃木类型收缩、有理收缩和 H 弱收缩的偏 b 矩空间的各种定点定理。在我们的工作中,我们借助(α, ϕ)-H-收缩,研究了部分 b-对称空间中的耦合定点定理。研究目标通过 (α,ϕ)-H-contraction 在部分 b-metric空间中为给定映射寻找唯一的公共定点 方法 借助 α-admissible 映射、H-有理类型、(α,ϕ)-H-contraction,我们展示了完整部分 b-metric空间中的耦合定点结论 结果:我们通过(α, ϕ)-H-contraction 类型为给定映射在完全局部 b-metric空间中获得了唯一的共同耦合定点结果。结论:本研究以局部 b-metric空间中的 H 型收缩映射为参照,给出了一些定点结果,并以适当的例子说明了主要发现,此外还给出了边界值问题和同调应用。
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引用次数: 0
Optimality of Finite Capacity Markovian Queues with Discouraged Arrivals and Singlhiatus with Waiting Server 有限容量马尔可夫队列的最优性(带受阻到达和带等待服务器的单一队列
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1052
J. Vimal Andrew
We consider finite-capacity Markovian queues with a single hiatus scheme and waiting server. Customers are arriving at a Poisson arrival λ and exponential service distribution, with a mean service rate µ. In which customers join the queue according to the number of customers in the system while the hiatus is in the service-providing process. For the assumed queuing model, steady-state probabilities were derived, and some important performance measures, such as the mean number of customers in the system and mean response time in the system and queue are analysed. The expected expense function is developed and formulated as an optimization problem in order to find the minimum expense. Numerical illustrations are given to show the effect of parameters on the performance measures.
我们考虑的是有限容量马尔可夫队列,该队列具有单一间歇方案和等待服务器。客户以泊松到达λ和指数服务分布到达,平均服务率为 µ。其中,客户根据系统中的客户数量加入队列,而间歇则处于服务提供过程中。对于假定的排队模型,得出了稳态概率,并分析了一些重要的性能指标,如系统中的平均客户数、系统和队列中的平均响应时间。开发了预期支出函数,并将其表述为一个优化问题,以找到最小支出。给出了数值说明,以显示参数对性能指标的影响。
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引用次数: 0
A Widespread Study of Inequalities Instigating Through Discrete Information Models 通过离散信息模型引发不平等的广泛研究
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1053
Jatinder Kumar, Om Parkash, Amit Paul, Deep Singh
The philosophy of inequalities has profundity been established for explaining numerous optimizational problems encountered in mathematical sciences. The contemporary develpments in computational mathematics have made it conceivable to compute enormous entities articulated in expressions of inequalities. Inequalities in information theory have been determined by the aspiration to elucidate communication theoretic problems. To disentangle such problems, the algebra of information was established and chain rules for entropy and mutual information were framed. The field of information theory participates with a critical protagonist in accepting and enumerating the communication of information in innumerable systems. Inequalities in information theory have appeared as influential implements to investigate and illustrate the restrictions and opportunities in information dispensation. The contemporary communiqué is an accurate step in the construction of information inequalities for the discrete probability distribution. We have prepared abundant inequalities concerning finite sequences of positive real numbers. The exceptional cases of these inequalities are definitely advantageous especially, in connection with innumerable measures of entropies and inaccuracy surviving in the literature of information theory.
不等式哲学在解释数学科学中遇到的众多优化问题方面具有深远的意义。当代计算数学的发展使人们能够计算用不等式表达式表述的巨大实体。信息论中的不等式是由阐明通信理论问题的愿望决定的。为了解决这些问题,人们建立了信息代数,并制定了熵和互信息的连锁规则。信息论领域是接受和列举无数系统中信息交流的关键主角。信息论中的不等式已成为研究和说明信息传播中的限制和机会的有影响力的工具。当代公报是构建离散概率分布信息不等式的准确步骤。我们编制了大量有关正实数有限序列的不等式。这些不等式的特殊情况绝对是有利的,特别是与信息论文献中存在的无数熵和不准确度的测量有关。
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引用次数: 0
Emerging power of ICT in healthcare: Insights from survey-based investigation 信息和通信技术在医疗保健领域的新兴力量:基于调查的洞察力
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1062
Rushikesh Rajendra Nikam, Dr. Dilip Motwani
The integration of Information and Communication Technology (ICT) in healthcare has been transformative, offering unprecedented opportunities for enhancing patient care and operational efficiencies. This research paper explores the fundamental role of ICT in healthcare systems, examining its evolution from basic digital communication to advanced healthcare informatics. Through a comprehensive literature survey and a detailed survey-based study, this research investigates the current state of ICT utilization among healthcare practitioners in the fields of medicine and dentistry. A cross-sectional descriptive research design was employed to assess the prevalence and applicability of ICT across various socio-demographic segments in India, highlighting significant associations between ICT usage and factors such as gender and years of professional experience. The findings stating that this paper as well recommends using a Trusted Fog Framework for healthcare based on higher prevalence of ICT in healthcare domain to address critical security concerns enhancing data security and system responsiveness.
信息与通信技术(ICT)在医疗保健领域的应用是一场变革,为提高病人护理水平和运营效率提供了前所未有的机遇。本研究论文探讨了信息和通信技术在医疗保健系统中的基本作用,研究了其从基本的数字通信到先进的医疗保健信息学的演变过程。通过全面的文献调查和详细的调查研究,本研究调查了医学和牙科领域的医疗从业人员对信息和通信技术的使用现状。研究采用了横截面描述性研究设计,以评估信息和通信技术在印度不同社会人口群体中的普及率和适用性,并强调了信息和通信技术的使用与性别和专业经验年限等因素之间的重要关联。研究结果表明,基于信息和通信技术在医疗保健领域的较高普及率,本文还建议在医疗保健领域使用可信雾框架,以解决关键的安全问题,提高数据安全性和系统响应能力。
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引用次数: 0
Prediction of Exchange Rates using Neural Networks and Performance by Friedman’s Test 利用神经网络预测汇率及弗里德曼检验的结果
Q4 Mathematics Pub Date : 2024-07-18 DOI: 10.52783/cana.v31.1051
Dr. N. Konda Reddy, Dr. K Murali Krishna
Forecasting of exchange rates plays a pivotal role in global trade, stocks and making the policies of exports and imports. USD exchange rates used widely for many business areas. In this paper an attempt is made to predict INR/USD exchange rates using Feed forward Neural Networks and Box-Jenkins methodology. The forecasting performance of the developed models were tested using error measures like MAE, MAPE and RMSE. The results shows FFNN model has better model than ARIMA model. The predicted exchange rates would vary between 83.06 and 83.28 for the out sample and this variation is exchange rates would help the business people and also for framing the government policies in the future. 
汇率预测在全球贸易、股票和进出口政策制定中起着举足轻重的作用。美元汇率被广泛应用于许多商业领域。本文尝试使用前馈神经网络和 Box-Jenkins 方法预测印度卢比/美元汇率。使用 MAE、MAPE 和 RMSE 等误差指标测试了所开发模型的预测性能。结果显示,FFNN 模型比 ARIMA 模型更好。样本外的预测汇率将在 83.06 和 83.28 之间变化,这种汇率变化将有助于商业人士和政府未来政策的制定。
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引用次数: 0
期刊
Communications on Applied Nonlinear Analysis
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