检索结果-内蒙古大学图书馆

2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Tsikteris, Sean Rahman, Aisha B. Siraj, Md Sadman Charatsaris, Panagiotis Tsiropoulou, Eirini Eleni Papavassiliou, Symeon National Technical University of Athens Institute of Communication and Computer Systems School of Electrical and Computer Engineering Athens Greece University of New Mexico Dept. of Electrical and Computer Engineering AlbuquerqueNM United States

ISBN: (纸本)9798350351255

The Information-Centric Networking (ICN) paradigm has reshaped the modern network architectures and promises efficient content delivery to the end-users. This paper introduces TRUSTCACHE, a novel framework enabling the content caching within ICNs and focusing on the trust-based ICN selection and optimal cache memory allocation to the Content Providers (CPs). The TRUSTCACHE framework incorporates the Optimistic Q-learning with Upper Confidence Bound reinforcement learning algorithm that enables the CPs to autonomously select ICNs based on their cache memory availability and trust levels. Also, TRUSTCACHE enables the CPs to jointly consider the reliability of the ICNs and their cache memory availability by integrating a novel trust model. Furthermore, TRUSTCACHE leverages the multilateral bargaining principles in order to ensure the optimal cache memory allocation among the CPs, in terms of aligning with their profit margin characteristics. Simulation-based experiments validate TRUSTCACHE's operational efficiency across diverse CP profit margin profiles and highlight its superiority over alternative models lacking trust-based ICN selection or employing proportional fairness strategies for cache memory allocation. © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Intelligent Accident Detection and Severity Analysis System for Enhanced Emergency Response 1

Intelligent Accident Detection and Severity Analysis System ...

引用

1st IEEE International Conference on Computing and Data Science, ICCDS 2024

作者： Harini, P. Chidambarathanu, K. Ramachandran, Lalitha R.M.K Engineering College Dept. Computer Science and Business Systems Kavarapettai India R.M.K Engineering College Dept. Science and Humanities Kavarapettai India

ISBN: (纸本)9798350365337

Road accidents cause serious injuries and deaths worldwide. The previous year's Ministry of Road Transport and Highways Annual Report on Road Accidents in India showed that many road accidents were fatal. A large percentage of Indian deaths occur without rapid medical intervention or first assistance. Delays in reporting incidents to emergency services increased fatalities. A sophisticated method using deep learning and analytics to locate CCTV accidents, classify their severity, and speed up emergency response. Accident detection and analysis are efficient with cutting-edge technologies. The accident detection phase uses YOLOv7, a deep-learning object detection model, to evaluate CCTV footage in real time. A stratified K-fold deep neural network classifies accidents as major or minor based on collision severity. Real-time GPS tracking alerts ambulance drivers within three km of the accident using the mobile app. This expedites emergency response, lowering mortality by reducing the time between the accident and medical assistance. © 2024 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Comparative Reliability Analysis of a Microgrid versus Zonal Nanogrids

Comparative Reliability Analysis of a Microgrid versus Zonal...

引用

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Smith, Gabrielle Van Bossuyt, Douglas L. Oriti, Giovanna Vygoder, Mark Alves, Richard Naval Postgraduate School Systems Engineering Dept. MontereyCA United States Naval Postgraduate School Electrical and Computer Engineering Dept. MontereyCA United States University of Wisconsin Milwaukee Electrical Engineering Dept. MilwaukeeWI United States

ISBN: (纸本)9798350376067

Nanogrids are small-scale power distribution systems that can operate independently or integrated with the grid like microgrids. These nanogrids can interconnect in a network and have built-in redundancy. This paper investigates the potential of bringing zonal shipboard power ashore with zonal nanogrids to enhance energy reliability at industrial facilities which addresses the limitations of current microgrid systems and emergency backup generators. A reliability analysis is conducted by using the reliability block diagram method to compare microgrid and zonal nanogrid configurations with various control architectures to identify the most reliable solution. The two common types of control strategies are centralized and decentralized. The results indicate that decentralized zonal nanogrids offer higher reliability over a 14-day grid power outage. Furthermore, a sensitivity analysis is conducted to identify the most impactful component in the reliability of zonal nanogrids which is the power transmission lines and fiber optic cables. © 2024 IEEE.

关键词： Power distribution reliability

来源：评论

学校读者我要写书评

暂无评论

Single-Phase Unidirectional Multilevel Rectifiers Based on Cascaded Cells

Single-Phase Unidirectional Multilevel Rectifiers Based on C...

引用

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Monteiro, Amanda Pereira Jacobina, Cursino Brandão Da Costa Bahia, Filipe Antônio De Sousa, Reuben Palmer Rezende Cardoso, Jean Torelli Pinto, Alan Robson Andrade Federal University of Ceará Mechanical Engineering Dept. Fortaleza Brazil Federal University of Campina Grande Electrical Engineering Dept. Campina Grande Brazil Federal University of Bahia Electrical and Computer Engineering Dept. Salvador Brazil Federal University of Pernambuco Electronics and Systems Dept. Recife Brazil

ISBN: (纸本)9798350376067

This paper proposes and investigates two new single-phase unidirectional multilevel rectifiers based on cascaded cells. Compared to conventional topology, as the number of cascaded cells increases, proposed ones employ, proportionally, a reduced controlled switch count and driver circuits, which may reduce control complexity and increase reliability. The dc-link voltage ratios are calculated for asymmetrical operation to provide the maximum number of voltage levels generated in the ac side of the rectifiers, ensuring a high power quality. Besides, the proposed configurations can synthesize a higher number of voltage levels by employing the same controlled switch count as the conventional one so that it is possible to provide a higher levels-per-switch ratio. Simulation and experimental results are presented to validate the performance and feasibility of the proposed topologies. © 2024 IEEE.

关键词： Topology

来源：评论

学校读者我要写书评

暂无评论

引用

5th International Conference on Communications, Information System and computer engineering, CISCE 2023

作者： Jin, Jiayuan Jiang, Xiantao Song, Tian Richard Yu, Fei. Weili Liu, Jin Shanghai Maritime University Dept. Information Engineering Shanghai China Tokushima University Dept. Electrical and Electronics Engineering Tokushima Japan Carleton University Dept. Systems and Computer Engineering Ottawa Canada

ISBN: (纸本)9798350326796

A new Quadtree with nested multi-type tree(QTMT) partitioning method is adopted in the latest video coding standard Versatile Video Coding(VVC) to achieve effective encoding. Compared with Quadtree(QT) in HEVC, QTMT can provide enhanced encoding performance. However, this improved coding performance is obtained at the cost of additional computational load from recursive and nested searches for the best CU structure. A context similarity-enabled CU partitioning algorithm is proposed to achieve a balance between coding efficiency and compression quality in VVC. According to the difference between frames, the method of frame difference algorithm is used to calculate the possibility that the current block can follow the same subblock division mode of the previous frame, so as to skip the unnecessary division selection process. The experimental results show that the proposed method can save the encoding time up to 18.22% with about 0.91% BD-rate degradation on average compared with VVC software reference VTM-9.3 © 2023 IEEE.

关键词： Encoding (symbols)

来源：评论

学校读者我要写书评

暂无评论

Clustered Control of Transition-Independent MDPs

引用

IEEE Transactions on Control of Network systems 2023年 1-12页

作者： Fiscko, Carmel Kar, Soummya Sinopoli, Bruno Dept. of Electrical and Computer Engineering Carnegie Mellon University at 5000 Forbes Ave Pittsburgh PA USA Dept. of Electrical and Systems Engineering Washington University in St. Louis MO at 1 Brookings Dr St. Louis MO USA

This work studies efficient centralized solution methods for cluster-based control policies of transition-independent Markov decision processes (TI-MDPs). We focus on control of multi-agent systems, whereby a central planner (CP) influences agents to select desirable group behavior. The agents are partitioned into disjoint clusters whereby agents in the same cluster receive the same controls but agents in different clusters may receive different controls. Under mild assumptions, this process can be modeled as a TI-MDP where each factor describes the behavior of one cluster. The action space of the TI-MDP becomes exponential with respect to the number of clusters. To efficiently find a policy in this rapidly scaling space, we propose a clustered Bellman operator that optimizes over the action space for one cluster at any evaluation. We present Clustered Value Iteration (CVI), which uses this operator to iteratively perform “round robin” optimization across the clusters. CVI converges exponentially faster than standard value iteration (VI), and can find policies that closely approximate the MDP's true optimal value. A special class of TI-MDPs with separable reward functions are investigated, and it is shown that CVI will find optimal policies on this class of problems. Finally, the optimal clustering assignment problem is explored. The value functions TI-MDPs with submodular reward functions are shown to be submodular functions, so submodular set optimization may be used to find a near optimal clustering assignment. We propose an iterative greedy cluster splitting algorithm, which yields monotonic submodular improvement in value at each iteration. Finally, simulations offer empirical assessment of the proposed methods. IEEE

关键词： Dynamic programming

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Incremental Conductance MPPT Algorithm under Varying Conditions 21

Evaluation of Incremental Conductance MPPT Algorithm under V...

引用

21st International Multi-Conference on systems, Signals and Devices, SSD 2024

作者： Nezam, Ahmad M. Mahmood, Musaria K. Karim, Sulaiman M. Addawe, Abdirahim Ankara Yildirim Beyazit University Dept. of Energy Systems Engineering Ankara Turkey Jannat Iraq College Dept. of Medical Instr. Tech. Eng. Ramadi Iraq Al-Hadba'a University College Dept. of Computer Technology Engineering Mosul Iraq Karabük Üniversitesi Dept. of Computer Engineering Karabük Turkey

ISBN: (纸本)9798350374131

Photovoltaic-based renewable energy production is constantly developing and becoming an increasing part of mod-ern energy markets. The power efficiency of a PV system is one of the most challenging problems, especially in changing climate conditions. Tracking the Maximum Power Point (MPP) to achieve optimal power production is one of the most important requirements of any PV-based system. This article explores the functionality of the Incremental Conductance (INC) algorithm as a highly effective approach for Maximum Power Point Tracking (MPPT). Simulations are conducted to investigate the effectiveness of INC across diverse operational case studies, considering both Standard Test Conditions (STC) and Partial Shading Conditions (PSC). In this investigation, key factors including system power efficiency, settling time, and steady-state power oscillation are taken into account. Simulation reveals rapid tracking and reduced oscillation under STC, meanwhile, it occasionally demonstrates inadequacy in accurately tracking the MPP under PSC in the case of multi-panel systems. © 2024 IEEE.

关键词： Solar panels

来源：评论

学校读者我要写书评

暂无评论

Energy Efficient joint user association and power allocation using Parameterized Deep DQN 9

Energy Efficient joint user association and power allocation...

引用

9th International Conference on computer and Communication engineering, ICCCE 2023

作者： Mughees, Amna Tahir, Mohammad Sheikh, Muhammad Aman Amphawan, Angela Yap, Kian Meng Habaebi, Mohamed Hadi Islam, Md. Rafiqul Sunway University Dept. of Computing and Information Systems Petaling Jaya Malaysia University of Turku Dept. of Computing Turku Finland Cardiff Metropolitan University Dept. of Electronics and Computer Systems Engineering Cardiff United Kingdom International Islamic University Dept. of Electrical and Computer Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798350325218

Using small cells to create an ultra-dense network for 5G and beyond is a promising strategy to improve network coverage, data demands and reduce latency. Despite using small cells, these dense wireless networks result in performance degradation and increased energy consumption. Energy consumption is a crucial parameter for sustainable future wireless networks. In order to improve quality of service (QoS) and Energy Efficiency (EE), efficient resource allocation strategies are required. This paper investigates a Parameterized Double Deep Q-Network (PDDQN) based framework for joint user association and power allocation to improve EE and throughput. Apart from other conventional machine learning approaches, considering single state space of the joint optimization problem, our proposed framework considers both discrete and continuous state spaces. Our proposed PDDQN technique also solves the generalization problem that occurs due to similar states. The simulation results indicate that the proposed work significantly improves energy EE and throughput in large-scale learning problems. © 2023 IEEE.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

USRP-Based Single Anchor Positioning: AoA with 5G Uplink Signals, and UWB Ranging 11

USRP-Based Single Anchor Positioning: AoA with 5G Uplink Sig...

引用

11th Workshop on Satellite Navigation Technology, NAVITEC 2024

作者： Spanos, Thodoris Fabra, Fran Lopez-Salcedo, Jose A. Seco-Granados, Gonzalo Kanistras, Nikos Lapin, Ivan Paliouras, Vassilis University of Patras Dept. of Electrical and Computer Engineering Greece Loctio P.C Greece Dept. of Telecommunication and Systems Eng Spain Radio Navigation Systems and Techniques Section European Space Agency Netherlands

ISBN: (纸本)9798350356854

This paper presents a novel testbed designed for 5th-Generation (5G) positioning using Universal Software Radio Peripherals (USRPs). The testbed integrates multiple units: an Operation Unit for test management, a User Unit equipped with an Ettus E312 USRP, and a Station Unit featuring an Ettus N310 USRP equipped with a three-element Uniform Linear Array for Angle of Arrival estimation. Alongside ultra wide-band ranging, the testbed estimates the user's position relative to the base station. Signal processing algorithms are executed in a dedicated processing unit. Key challenges addressed include phase misalignment between RX channel pairs due to different Local Oscillators in the Ettus N310, necessitating real-time calibration for precise signal alignment. High sampling rates (up to 61.44 MSps) result in large IQ sample files, managed efficiently using a snapshot technique to optimize storage without compromising testbed positioning capabilities. The testbed synchronizes angular measurements with ranging estimates allowing consistent performance evaluation for real-life cases of dynamic users (e.g. pedestrian). Experimental results demonstrate the testbed's effectiveness in achieving accurate pedestrian user localization. © 2024 IEEE.

关键词： Testbeds

来源：评论

学校读者我要写书评

暂无评论

Enhancing Cybersecurity Through Advanced Fraud and Anomaly Detection Techniques: A Systematic Review

Enhancing Cybersecurity Through Advanced Fraud and Anomaly D...

引用

2024 International Conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Olowe, Oluwambo Tolulope Adebiyi, Ayodele A. Marion, Adebiyi O. Tobi, Olowe Mofiyinfoluwa Olaniyan, Deborah Olaniyan, Julius Emmanuel, Aderemi Akindeji, Kayode Landmark University Dept of Computer Science Omuaran Nigeria University of Pretoria Dept. of Industrial & Systems Engineering Pretoria South Africa Durban University of Technology Dept. of Power Electric Engineering Durban South Africa

ISBN: (纸本)9798350358155

Fraud and anomaly detection in cybersecurity have become critical areas of research, prompting a comprehensive review of recent developments and model effectiveness. This study investigates prevalent trends and challenges in fraud and anomaly detection, focusing on data science approaches within e-commerce and smart cities. Through the analysis, key factors influencing detection efficacy, such as deep learning models and hybrid approaches, are examined. Findings highlight the multidimensional nature of cyber threats across various domains and underscore the importance of proactive security measures, including robust authentication, network fortification, and employee training. This paper contributes to enhancing awareness and understanding of evolving cyber threats while offering actionable insights for bolstering detection capabilities and mitigating risks. © 2024 IEEE.

关键词： Cyber attacks

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：