检索结果-内蒙古大学图书馆

10th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2024

作者： Gunawan, Teddy Surya Roslan, Nadiah Karmila Kartiwi, Mira Yusoff, Nelidya Md International Islamic University Malaysia Electrical and Computer Engineering Department Kuala Lumpur53100 Malaysia International Islamic University Malaysia Information Systems Department Kuala Lumpur53100 Malaysia Universiti Teknologi Malaysia Faculty of Artificial Intelligence Kuala Lumpur51400 Malaysia

ISBN: (纸本)9798350365283

Integrating blockchain technology with medical devices is crucial for addressing healthcare data integrity and security challenges. Traditional data storage methods are vulnerable to tampering and unauthorized access, compromising patient safety and privacy. This study develops a blockchain-integrated medical device system to create a tamper-resistant framework. The primary objectives are to secure medical device measurements using blockchain, evaluate the system's security against data tampering and unauthorized access, and assess its performance. The methodology includes deploying smart contracts on the Ethereum blockchain to store hashed and encrypted medical data, simulating data generation with a Raspberry Pi, and implementing user authentication through Flask and JSON Web Tokens (JWT). The system achieved an average transaction throughput of 7.72 TPS and a latency of approximately 0.13 seconds, demonstrating robust tamper resistance. These findings indicate that blockchain integration can significantly enhance data integrity and security in healthcare, improving patient outcomes and data privacy within medical ecosystems. © 2024 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Enhancing Classroom Engagement using Real-Time Student Attention Monitoring with YOLOv9 10

Enhancing Classroom Engagement using Real-Time Student Atten...

引用

10th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2024

作者： Gunawan, Teddy Surya Muzarudin, Muhammad Amirul Faiz Kartiwi, Mira Yusoff, Nelidya Md International Islamic University Malaysia Electrical and Computer Engineering Department Kuala Lumpur53100 Malaysia International Islamic University Malaysia Information Systems Department Kuala Lumpur53100 Malaysia Universiti Teknologi Malaysia Faculty of Artificial Intelligence Kuala Lumpur51400 Malaysia

ISBN: (纸本)9798350365283

This research investigates the utilization of YOLOv9 in classrooms to monitor student attention in real time, thereby addressing the challenge of sustaining student engagement. The inability of conventional teaching methods to maintain students' attention frequently necessitates the implementation of dynamic modifications to instructional strategies. The goal is to create a system that accurately identifies students' attention levels. The system was trained and tested on annotated datasets using the YOLOv9c and YOLOv9e models, resulting in precision, recall, and mAP scores that demonstrated high effectiveness. A dashboard from Streamlit offered real-Time and cumulative insights, which allowed for immediate pedagogical adjustments. The results showed that YOLOv9c had a higher precision (0.876) and YOLOv9e had a superior recall, underscoring their respective strengths. However, despite a few misclassifications, the system's robust performance suggests its potential as a transformative educational tool. Future enhancements will focus on integrating additional data sources, reducing misclassifications, and improving algorithm scalability and accuracy to foster a more adaptive learning environment and showcase the system's potential for diverse educational applications. © 2024 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

False Sense of Security on Protected Wi-Fi Networks

arXiv

引用

arXiv 2025年

作者： Lim, Yong Zhi Rahman, Hazmei Bin Abdul Sikdar, Biplab Information Systems Technology and Design Singapore University of Technology and Design Singapore Department of Electrical & Computer Engineering National University of Singapore Singapore

The Wi-Fi technology (IEEE 802.11) was introduced in 1997. With the increasing use and deployment of such networks, their security has also attracted considerable attention. Current Wi-Fi networks use WPA2 (Wi-Fi Protected Access 2) for security (authentication and encryption) between access points and clients. According to the IEEE 802.11i-2004 standard, wireless networks secured with WPA2-PSK (Pre-Shared Key) are required to be protected with a passphrase between 8 to 63 ASCII characters. However, a poorly chosen passphrase significantly reduces the effectiveness of both WPA2 and WPA3-Personal Transition Mode. The objective of this paper is to empirically evaluate password choices in the wild and evaluate weakness in current common practices. We collected a total of 3,352 password hashes from Wi-Fi access points and determine the passphrases that were protecting them. We then analyze these passwords to investigate the impact of user’s behavior and preference for convenience on passphrase strength in secured private Wi-Fi networks in Singapore. We characterized the predictability of passphrases that use the minimum required length of 8 numeric or alphanumeric characters, and/or symbols stipulated in wireless security standards, and the usage of default passwords, and found that 16 percent of the passwords show such behavior. Our results also indicate the prevalence of the use of default passwords by hardware manufacturers. We correlate our results with our findings and recommend methods that will improve the overall security and future of our Wi-Fi networks. © 2025, CC BY.

关键词： Wireless local area networks (WLAN)

来源：评论

学校读者我要写书评

暂无评论

QoS Improvement using Federated Learning-based Position Prediction for mobile IoT 10

QoS Improvement using Federated Learning-based Position Pred...

引用

10th IEEE World Forum on Internet of Things, WF-IoT 2024

作者： Zafar, Saniya Alshehri, Mohammed S. Shah, Syed Aziz Ahmad, Jawad Zafar, Adnan Khattak, Aizaz Ahmad Institute of Space Technology Department of Electrical Engineering Islamabad Pakistan Najran University College of Computer Science and Information Systems Department of Computer Science Saudi Arabia Coventry University Research Centre for Intelligent Healthcare United Kingdom Prince Mohammad Bin Fahd University Cybersecurity Center Alkhobar Saudi Arabia Edinburgh Napier University School of Computing Engineering and the Built Environment United Kingdom

ISBN: (纸本)9798350373011

The rapid advancement in mobile broadband technology has evolved wireless infrastructure influencing internet-of-things (IoTs). This evolution has made mobile IoTs (mIoTs) as centre of attention due to its potential of providing seamless connectivity to enable intelligent transportation systems with huge data demands of vehicular users. To address the ever-escalating data demands of vehicular mobile users, vehicular edge computing (VEC) and moving small cells (mSCs) play a pivotal role. mSCs together with VEC are capable to provide improved service quality for mIoTs. However, incorporating the mSCs in vehicles for mIoTs presents challenges while assigning the resources in mIoT-mSC network. This is due to the existence of time varying interference among mSCs. This work explores the distributed resource assignment mechanism for RSU assisted mIoT-mSC network formed in vehicular environment. In the proposed work, location prediction of city buses deployed with mSCs is done using federated learning (FL) which is subsequently utilized for efficient assignment of resources in mIoT-mSC network. Numerical results are provided to validate the proposed resource assignment mechanism. © 2024 IEEE.

关键词： Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Performance Optimization for Vehicular Cooperative Sensing: A Graph Attention Based Reinforcement Learning Approach

Performance Optimization for Vehicular Cooperative Sensing: ...

引用

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Li, Xuefei Chen, Mingzhe Liu, Danpu Zhang, Zhilong Quek, Tony Q. S. Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing100876 China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL33146 United States Information Systems Technology and Design Pillar Singapore University of Technology and Design 487372 Singapore

ISBN: (纸本)9798350351255

In this paper, the problem of collaborative vehicle sensing is investigated. In the considered model, a set of cooperative vehicles provide sensing information to sensing request vehicles with limited sensing and communication resources. A base station (BS) determines the subset of sensing request vehicles that each cooperative vehicle will serve and the sub-regions that each cooperative vehicle will detect. We formulate an optimization problem aiming to maximize the number of successfully detected sub-regions of sensing request vehicles while satisfying the cooperative sensing energy requirement by jointly determining the cooperative vehicle association and the sensing sub-region selection. To solve this problem, we propose a graph attention based reinforcement learning (RL) algorithm that can generate the graph information vectors based on the correlation between each cooperative vehicle and each sensing request vehicle. Using the learned graph information, the joint cooperative vehicle association and sensing sub-region selection strategy will be determined. Simulation results show that the proposed scheme can improve the number of successfully detected sub-regions of sensing request vehicles by up to 12.5% compared to the conventional RL algorithm without using graph attention networks (GANs). © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Priority queueing system with many types of requests and restricted processor sharing

引用

Journal of Ambient Intelligence and Humanized Computing 2023年第9期14卷 12651-12662页

作者： D’Apice, Ciro Dudin, Alexander Dudin, Sergey Manzo, Rosanna Dipartimento di Scienze Aziendali - Management and Innovation Systems University of Salerno Via Giovanni Paolo II 132 Salerno Fisciano84084 Italy Department of Applied Mathematics and Computer Science Belarusian State University 4 Nezavisimosti Ave. Minsk220030 Belarus Department of Information Engineering Electrical Engineering and Applied Mathematics University of Salerno Via Giovanni Paolo II 132 Salerno Fisciano84084 Italy

A priority queueing model with many types of requests and restricted processor sharing is considered. A novel discipline of requests admission and service is proposed. This discipline assumes restriction of the bandwidth (capacity) of the server and the number of requests that can receive service in the system at the same time. This discipline is some kind of realistic hybrid of the traditional discipline of service in a multi-server system and the discipline of the limited processor sharing. The requests of the highest priority can push out from the service the low priority requests. Therefore, the important problem is fitting of the number of requests that can receive service at the same time to the bandwidth of the server. This problem is solved via construction and analysis of a multi-dimensional Markov chain describing operation of the system under any fixed set of the system parameters. © 2022, The Author(s).

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

Disturbance Rejection Control for PMSGs Based on Novel Sliding Mode Control Law and Unknown System Disturbance Estimator

引用

IEEE Transactions on Energy Conversion 2025年

作者： Wei, Chun Yin, Tianqi Qiao, Wei Zhu, Ying Zhejiang University of Technology College of Information Engineering Zhejiang Hangzhou310023 China University of Nebraska-Lincoln Power and Energy Systems Laboratory Department of Electrical and Computer Engineering LincolnNE68588 United States Hohai University School of Electrical and Power Engineering Nanjing211100 China

This paper proposes a novel terminal sliding mode control strategy for the speed control of permanent magnet synchronous generator (PMSG)-based wind energy conversion systems (WECSs) to improve wind power generation efficiency. Firstly, a novel terminal sliding mode function based on exponential convergence is constructed, and a controller is designed accordingly, effectively addressing the system's nonlinear characteristics while achieving high precision tracking and chattering suppression with rapid convergence. Secondly, an unknown system dynamic estimator (USDE) is designed to estimate disturbances caused by external environments and inaccurate model parameters, further enhancing the system's disturbance rejection capability. Finally, the proposed USDE-based novel exponential sliding mode control is applied in a 1000 W PMSG-based WECS hardware simulator. Experimental results indicate that compared to the full-order sliding mode controller, the proposed control method exhibits stronger speed tracking, chattering suppression, and disturbance rejection capabilities. © 1986-2012 IEEE.

关键词： Sliding mode control

来源：评论

学校读者我要写书评

暂无评论

The Study of the Canonical forms of Killing tensor in vacuum with Λ

arXiv

引用

arXiv 2024年

作者： Kokkinos, Dionysios Papakostas, Taxiarchis Department of Information and Communication Systems Engineering University of the Aegean Karlovasi Samos Greece Department of Electrical and Computer Engineering Hellenic Mediterranean University Heraklion Crete Greece

This paper is the initial part of a comprehensive study of spacetimes that admit the canonical forms of Killing tensor in General Relativity. The general scope of the study is to derive either new exact solutions of Einstein’s equations that exhibit hidden symmetries or to identify the hidden symmetries in already known spacetimes that may emerge during the resolution process. In this preliminary paper, we first introduce the canonical forms of Killing tensor, based on a geometrical approach to classify the canonical forms of symmetric 2-rank tensors, as postulated by R. V. Churchill. Subsequently, the derived integrability conditions of the canonical forms serve as additional equations transforming the under-determined system of equations, comprising of Einstein’s Field Equations and the Bianchi Identities (in vacuum with Λ), into an over-determined one. Using a null rotation around the null tetrad frame we manage to simplify the system of equations to the point where the geometric characterization (Petrov Classification) of the extracted solutions can be performed and their null congruences can be characterized geometrically. Therein, we obtain multiple special algebraic solutions according to the Petrov classification (D, III, N, O) where some of them appeared to be new. The latter becomes possible since our analysis is embodied with the usage of the Newman-Penrose formalism of null tetrads. © 2024, CC BY.

关键词： Tensors

来源：评论

学校读者我要写书评

暂无评论

Assessing the Vulnerability of Power systems to False Data Injection Attacks: A Bayesian Attack Graph-Based Approach

Assessing the Vulnerability of Power Systems to False Data I...

引用

International Conference on Environment and electrical engineering (EEEIC)

作者： Mohammadmahdi Asghari Amir Ameli Mohsen Ghafouri Mohammad N. Uddin Department of Electrical and Computer Engineering Lakehead University Thunder Bay ON Canada Concordia Institute for Information Systems Engineering (CIISE) Concordia University Montreal QC Canada

ISBN: (数字)9798350355185

ISBN: (纸本)9798350355192

A meticulously crafted false data injection attack (FDIA) can effectively circumvent bad data detection mechanisms within the state estimation scheme, presenting falsified states to operators. These falsified states can lead to wrong operation decisions, potentially leading to line overloads and triggering cascading failures. Although substantial measurements are needed for executing such impactful FDIAs, the modeling of the cyber layer in vulnerability analysis of power grids is often neglected in the literature. Building on this foundation, this paper introduces a two-step vulnerability assessment approach that integrates the cyber layer into account. Initially, the minimum sets of phasor measurement units necessary to stealthily overload a transmission line is determined via a bi-level optimization problem for each line. Subsequently, Bayesian attack graphs are developed for each set to map all potential access routes for these minimal measurement sets, thereby facilitating the calculation of their accessing probability, which reflect the current vulnerability of the power system to FDIAs. The proposed methodology is tested and validated on the IEEE 39-Bus test system.

关键词： Analytical models Power measurement Power transmission lines Power system protection Transmission line measurements Phasor measurement units Bayes methods State estimation Power system faults Optimization

来源：评论

学校读者我要写书评

暂无评论

Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity

Straggler-Resilient Federated Learning: Leveraging the Inter...

引用

作者： Reisizadeh, Amirhossein Tziotis, Isidoros Hassani, Hamed Mokhtari, Aryan Pedarsani, Ramtin Massachusetts Institute of Technology Laboratory for Information and Decision Systems CambridgeMA02139 United States The University of Texas at Austin Department of Electrical and Computer Engineering AustinTX78712 United States University of Pennsylvania Department of Electrical and Systems Engineering PhiladelphiaPA19104 United States University of California at Santa Barbara Department of Electrical and Computer Engineering Santa BarbaraCA93106 United States

Federated learning is a novel paradigm that involves learning from data samples distributed across a large network of clients while the data remains local. It is, however, known that federated learning is prone to multiple system challenges including system heterogeneity where clients have different computation and communication capabilities. Such heterogeneity in clients' computation speed has a negative effect on the scalability of federated learning algorithms and causes significant slow-down in their runtime due to slow devices (stragglers). In this paper, we propose FLANP, a novel straggler-resilient federated learning meta-algorithm that incorporates statistical characteristics of the clients' data to adaptively select the clients in order to speed up the learning procedure. The key idea of FLANP is to start the training procedure with faster nodes and gradually involve the slower ones in the model training once the statistical accuracy of the current participating nodes' data is reached, while the final model for each stage is used as a warm-start model for the next stage. Our theoretical results characterize the speedup provided by the meta-algorithm FLANP in comparison to standard federated benchmarks for strongly convex losses and i.i.d. samples. For particular instances, FLANP slashes the overall expected runtime by a factor of O((Ns)) , where N and s denote the total number of nodes and the number of samples per node, respectively. In experiments, FLANP demonstrates significant speedups in wall-clock time -up to 6 - compared to standard federated learning benchmarks. © 2020 IEEE.

关键词： Learning algorithms

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：