检索结果-内蒙古大学图书馆

Machine Learning Based Channel Estimation for Low-Power Internet of Things (LP-IoT) Devices: A Probabilistic Analysis

引用

IEEE Access 2025年 13卷 38470-38483页

作者： Arif, Samrah Arif Khan, M. Ur Rehman, Sabih Charles Sturt University School of Computing Mathematics and Engineering Port MacquarieNSW2444 Australia Charles Sturt University School of Computing Mathematics and Engineering Wagga WaggaNSW2650 Australia

The swift expansion of Low-Power Internet of Things (LP-IoT) devices has significantly impacted industries such as smart homes, healthcare, agriculture, and industrial automation. In these interconnected environments, reliable wireless communication is essential for efficient data transmission. Channel estimation techniques play a crucial role in assessing the state of the wireless channel before transmitting data. While conventional techniques have been developed, they often struggle in dynamic environments due to substantial computational demands and limited adaptability. Recent advancements in Machine Learning (ML) offer promising improvements in wireless channel estimation for LP-IoT by capturing complex relationships and adapting to changing conditions of wireless channel. Considering the ML models as the potential substitute in the field of wireless channel estimation, this paper builds on our previous work by providing a detailed analysis of two advanced ML-based models, which demonstrates their applicability and reliability in practical indoor environments. While these models have shown potential, a comprehensive analysis of their accuracy in expanded environments has been lacking. To address this gap, we conduct a probability analysis to evaluate the models' estimation accuracy and confidence levels, alongside a scalability analysis to assess performance as network size and complexity grow. The results confirm the effectiveness of these ML-based models and provide valuable insights into their suitability for large-scale LP-IoT applications. Ultimately, this study contributes to the advancement of intelligent LP-IoT communication systems by bridging the gap between theoretical research and real-world deployment. © 2013 IEEE.

关键词： Channel estimation

来源：评论

学校读者我要写书评

暂无评论

Exit options sustain altruistic punishment and decrease the second-order free-riders, but it is not a panacea

引用

Science China(Information Sciences) 2025年第1期68卷 278-291页

作者： Chen SHEN Zhao SONG Lei SHI Jun TANIMOTO Zhen WANG Faculty of Engineering Sciences Kyushu University School of Statistics and Mathematics Yunnan University of Finance and Economics School of Computing Engineering and Digital Technologies Teesside University School of Artificial Intelligence OPtics and Electro Nics (iOPEN) Northwestern Polytechnical University

Why do humans punish free riders at their own expense? This behavior represents an evolutionary puzzle in human societies. This study explores the role of exit strategies in fostering altruistic punishment within evolutionary game theory. We extend the traditional prisoner's dilemma model by incorporating exiters, players who opt out for a small payoff while nullifying their opponent's payoff, and altruistic punishers who cooperate and punish non-cooperators. Our findings indicate that in well-mixed populations, exiters destabilize defection but do not promote altruistic punishment. In social networks, however,exiters enable altruistic punishment via cyclic dominance among altruistic punishers, defectors, and exiters. Notably, this cyclic dominance is sensitive to exit payoffs; adjustments can lead to cyclic dominance of non-punishing cooperators, defectors, and exiters, or to a bi-stable state between these two types of cyclic dominance. These results highlight the nuanced impact of exiters on altruistic punishment, emphasizing the need for careful incentivization of exit behavior. While exiters can support altruistic punishment in networked populations, their effectiveness is not a panacea and is highly sensitive to exit payoffs, indicating limits to the voluntary participation mechanism.

关键词： evolutionary game theory altruistic punishment coexistence cyclic dominance bi-stable

来源：评论

学校读者我要写书评

暂无评论

CENTRAL LIMIT THEOREM FOR TEMPORAL AVERAGE OF BACKWARD EULER-MARUYAMA METHOD

引用

Journal of Computational mathematics 2025年第3期43卷 588-614页

作者： Diancong Jin School of Mathematics and Statistics Hubei Key Laboratory of Engineering Modeling and Scientific ComputingHuazhong University of Science and TechnologyWuhan 430074China

This work focuses on the temporal average of the backward Euler-Maruyama(BEM)method,which is used to approximate the ergodic limit of stochastic ordinary differential equations(SODEs).We give the central limit theorem(CLT)of the temporal average of the BEM method,which characterizes its asymptotics in *** the deviation order is smaller than the optimal strong order,we directly derive the CLT of the temporal average through that of original equations and the uniform strong order of the BEM *** the case that the deviation order equals to the optimal strong order,the CLT is established via the Poisson equation associated with the generator of original *** experiments are performed to illustrate the theoretical *** main contribution of this work is to generalize the existing CLT of the temporal average of numerical methods to that for SODEs with super-linearly growing drift coefficients.

关键词： Central limit theorem Temporal average Ergodicity Backward Euler-Maruyama method

来源：评论

学校读者我要写书评

暂无评论

CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment 25th

CL3: A Collaborative Learning Framework for the Medical Da...

引用

25th International Conference on Web Information Systems engineering, WISE 2024

作者： Parvez, Mohammad Zavid Islam, Rafiqul Islam, Md Zahidul School of Computing Mathematics and Engineering Charles Sturt University BathurstNSW Australia

ISBN: (纸本)9789819605729

In a hyperconnected environment, medical institutions are particularly concerned with data privacy when sharing and transmitting sensitive patient information due to the risk of data breaches, where malicious actors could intercept sensitive information. A collaborative learning framework, including transfer, federated, and incremental learning, can generate efficient, secure, and scalable models while requiring less computation, maintaining patient data privacy, and ensuring an up-to-date model. This study aims to address the detection of COVID-19 using chest X-ray images through a proposed collaborative learning framework called CL3. Initially, transfer learning is employed, leveraging knowledge from a pre-trained model as the starting global model. Local models from different medical institutes are then integrated, and a new global model is constructed to adapt to any data drift observed in the local models. Additionally, incremental learning is considered, allowing continuous adaptation to new medical data without forgetting previously learned information. Experimental results demonstrate that the CL3 framework achieved a global accuracy of 89.99% when using Xception with a batch size of 16 after being trained for six federated communication rounds. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Advancing Web Browser Forensics: Critical Evaluation of Emerging Tools and Techniques

引用

SN Computer Science 2025年第4期6卷 1-28页

作者： Chand, Rishal Ravikesh Sharma, Neeraj Anand Kabir, Muhammad Ashad Department of Computer Science and Mathematics The University of Fiji Lautoka Fiji School of Computing Mathematics and Engineering Charles Sturt University Bathurst 2795 NSW Australia

As the use of web browsers continues to grow, the potential for cybercrime and web-related criminal activities also increases. Digital forensic investigators must understand how different browsers function and the critical areas to consider during web forensic analysis. Web forensics, a subfield of digital forensics, involves collecting and analyzing browser artifacts, such as browser history, search keywords, and downloads, which serve as potential evidence. While existing research has provided valuable insights, many studies focus on individual browsing modes or limited forensic scenarios, leaving gaps in understanding the full scope of data retention and recovery across different modes and browsers. This paper addresses these gaps by defining four browsing scenarios and critically analyzing browser artifacts across normal, private, and portable modes using various forensic tools. We define four browsing scenarios to perform a comprehensive evaluation of popular browsers—Google Chrome, Mozilla Firefox, Brave, Tor, and Microsoft Edge—by monitoring changes in key data storage areas such as cache files, cookies, browsing history, and local storage across different browsing modes. Overall, this paper contributes to a deeper understanding of browser forensic analysis and identifies key areas for enhancing privacy protection and forensic methodologies. © The Author(s) 2025.

关键词： Browser artifacts Browser forensics Cybercrime Digital forensics Forensics tool Web browser

来源：评论

学校读者我要写书评

暂无评论

Adapted Runge-Kutta Methods for Nonlinear First-Order Delay BVPs with Time-variable Delay

引用

Acta Mathematicae Applicatae Sinica 2025年第2期41卷 400-413页

作者： Cheng-jian ZHANG Yang WANG Hao HAN School of Mathematics and Statistics Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Engineering Modeling and Scientific Computing Huazhong University of Science and TechnologyWuhan 430074China

This paper deals with numerical solutions for nonlinear first-order boundary value problems(BVPs) with time-variable delay. For solving this kind of delay BVPs, by combining Runge-Kutta methods with Lagrange interpolation, a class of adapted Runge-Kutta(ARK) methods are developed. Under the suitable conditions, it is proved that ARK methods are convergent of order min{p, μ+ν +1}, where p is the consistency order of ARK methods and μ, ν are two given parameters in Lagrange interpolation. Moreover, a global stability criterion is derived for ARK methods. With some numerical experiments, the computational accuracy and global stability of ARK methods are further testified.

关键词： delay boundary value problems adapted Runge-Kutta method Lagrange interpolation error analysis global stability

来源：评论

学校读者我要写书评

暂无评论

Metamorphic Testing on Scientific Programs for Solving Second-Order Elliptic Differential Equations

Metamorphic Testing on Scientific Programs for Solving Secon...

引用

作者： Yan, Shiyu Zhu, Hong School of Computer University of South China Hunan China School of Engineering Computing and Mathematics Oxford Brookes University Oxford United Kingdom

Practical problems in scientific computation that solve differential equations rarely have explicit exact solutions. Therefore, verifying the correctness of such programs has long been a challenge due to the difficulty of producing expected outputs on test cases. In this paper, the principles of metamorphic testing are applied to verify programs that solve second-order elliptic differential equations. We present a testing process specifically tailored for the verification testing of scientific computation programs and integrate it to the process of developing scientific software. Unlike existing approaches, we formally derive metamorphic relations from the numerical models of differential equations built in development process of scientific computing programs. The experimental results clearly show that our approach is effective in detecting faults commonly found in scientific computing programs. It outperforms the fault detecting ability of the trend method, which is a traditional testing method for scientific software. © 2024 John Wiley & Sons Ltd.

关键词： Software testing

来源：评论

学校读者我要写书评

暂无评论

Relationships Among e-Voting, e-Auction, e-Cheque, and e-Cash

引用

IEEE Access 2025年 13卷 71773-71791页

作者： Kho, Yun-Xing Heng, Swee-Huay Tan, Syh-Yuan Chin, Ji-Jian Multimedia University Faculty of Information Science and Technology Melaka75450 Malaysia University of Plymouth School of Engineering Computing and Mathematics PlymouthPL4 8AA United Kingdom

This paper illustrates how a transformation technique can be used to demonstrate the relationship among e-voting, e-auction, e-cheque, and e-cash, even though they serve distinct purposes. Initially, we examine the definitions of e-cheque and e-cash schemes, along with their respective security models. Subsequently, we develop a systematic framework to transform e-cheque into e-cash, supported by formal proof demonstrating the security of the conversion. As a corollary, we further exemplify this integration with a generic transformation framework to obtain e-cash from e-voting directly by combining an existing transformation of e-voting into e-cheque and the transformation of e-cheque into e-cash which we established earlier. We apply our transformation framework to Li et al.’s transformed e-cheque scheme and Li et al.’s e-voting scheme to obtain a concrete, secure e-cash scheme that is IND-CCEA, IND-CIA, and EUF-CIA as an instance. Finally, we examine how our result contributes to the integration and relationship between e-voting, e-auction, e-cheque, and e-cash systems. © 2013 IEEE.

关键词： Electronic money

来源：评论

学校读者我要写书评

暂无评论

Online Streaming Feature Selection Using Bidirectional Complementarity Based on Fuzzy Gini Entropy

引用

IEEE Transactions on Fuzzy Systems 2025年第5期33卷 1592-1604页

作者： Zhang, Chucai Lu, Zhengxiang Zhang, Yongkang Dai, Jianhua Hunan Normal University Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing College of Information Science and Engineering Changsha410081 China School of Mathematics and Statistics Changsha410081 China

Online streaming feature selection has garnered widespread attention due to its efficiency and adaptability in dynamic data environments. However, existing methods primarily focus on the correlation and redundancy among features, often overlooking the complementarity between candidate and selected features. In this article, we address this gap by introducing three key innovations. First, we construct a novel metric, fuzzy Gini entropy (FGE), to measure feature uncertainty within datasets. Unlike traditional information entropy, fuzzy Gini entropy inherits the advantages of the Gini index, effectively measuring the impurity of datasets, while also being capable of handling common fuzzy environments. Accordingly, related metrics such as fuzzy joint Gini entropy, fuzzy conditional Gini entropy, and fuzzy mutual Gini information are developed. Second, we innovatively propose the concept of the bidirectional complementarity ratio, which captures the relationship between candidate features and previously selected features in online streaming feature selection. This mitigates the unfairness associated with the late arrival of features, ensuring that candidate features with a bidirectional complementary effect that outweighs their redundancy effect with the selected features are chosen. Third, we design an online streaming feature selection method named FGE-OSFS. The method evaluates streaming features through three steps: Online relevance analysis, online bidirectional complementarity analysis, and online redundancy analysis. Finally, we compare the proposed method with five state-of-the-art online streaming feature selection methods, demonstrating the effectiveness of our new approach. © 1993-2012 IEEE.

关键词： Redundancy

来源：评论

学校读者我要写书评

暂无评论

Sensitivity of small-scale global models of dynamic power cables to model material properties 6th

Sensitivity of small-scale global models of dynamic power ca...

引用

6th International Conference on Renewable Energies Offshore, RENEW 2024

作者： Holcombe, A. Hann, M. Brown, S. Cheng, S. Rawlinson-Smith, R. Nicholls-Lee, R. School of Engineering Computing and Mathematics University of Plymouth Plymouth United Kingdom Flotation Energy Hobart House Edinburgh United Kingdom

ISBN: (纸本)9781032905570

Dynamic power cables transmit electricity from floating offshore renewable energy devices to seabed connections. While global numerical models are commonly used to design cable configurations, smallscale wave tank experiments offer an alternative approach. This study investigates the effects of bending and axial stiffness on key results, providing guidance for selecting materials for scale models of dynamic power cables. Simulations of a 15 MW floating offshore wind turbine were conducted in OrcaFlex, varying stiffness values. The findings show that changing axial stiffness has no impact. Bending stiffness within five times the target value maintains a similar static shape, whereas a range of 0.9 to 4 times the target value is needed to keep maximum curvature within a 20% increase. Lower bending stiffness produces similar maximum tension, but higher stiffness reduces it by up to 12%. This study informs how much stiffness properties can deviate from target scale values while ensuring reliable results. © 2025 The Author(s).

关键词： Windmill

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：