检索结果-内蒙古大学图书馆

International Conference on Inventive Research in Computing Applications (ICIRCA)

作者： Chandra Mouli Venkata Srinivas Akana Astha Sanjay Singh Thakur R. Priyanka S Kirubakaran Arepalli Gopi Thokala Sai Krishna Reddy Bonam Venkata Chalamayya Engineering College Andhra Pradesh India MS/ CS/Eric Jonsson School of Engineering and Computer Science University of Texas Department of Networking and Communications Faculty of Engineering and Technology School of Computing SRM Institute of Science and Technology Kattankulathur Tamilnadu India CSE CMR College of Engineering and Technology Hyderabad Telangana India Department of CSE Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh India School of Agriculture SR University Warangal Telangana India

Drowsy driving is a major cause of fatalities and serious injuries on the roads. Research into methods of detecting and signaling driver weariness is ongoing. Common practices are grounded in either vehicle dynamics, driver psychology, or physiological research. Other ways are intrusive and can be a distraction for the driver, while others make use of pricey sensors and a large amount of data. As a result, this research presents a less costly real-time Drivers Drowsiness detection system that achieves comparable accuracy. Eye and mouth detection are used to calculate the eye aspect ratio and the mouth aspect ratio, respectively, from a facial image. Using adaptive thresholding methods, the returning values are classified to determine whether or not the person is sleepy. The hough transform is used to identify the eye's position after being preprocessed with a gaussian filter. The model is trained with GBDT-CNN-LR after features are extracted using Ostu segmentation. When compared to two other models, including CNN and LR, the proposed method performs admirably.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Joint beamforming and interference cancellation in MmWave wideband full-duplex systems

arXiv

引用

arXiv 2021年

作者： Balti, Elyes Evans, Brian L. Wireless Networking and Communications Group Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States

Full-duplex (FD) systems have the capability to transmit and receive at the same time in the same frequency band. FD systems can reduce congestion and latency and improve coverage and spectral efficiency. As a relay, they can increase range and decrease outages. Full-duplex (FD) wireless systems have been emerging as a practical solution to provide high bandwidth, low latency, and big data processing in millimeter wave and Terahertz systems to support cellular networks, autonomous driving, platooning, advanced driving assistance and other systems. However, FD systems suffer from loopback self-interference that can swamp the analog-to-digital converters (ADCs) resulting in very low spectral efficiency. In this context, we consider a cellular system wherein uplink and downlink users independently communicate with FD base station. The proposed contributions are (1) three hybrid beamforming algorithms to cancel self-interference and increase the received power, and (2) evaluation of outage probability, spectral efficiency, and energy efficiency of the proposed algorithms. We consider full-digital beamforming and upper bound as benchmarks. Finally, we show the resiliency of Algorithm 2 against self-interference in comparison with Algorithms 1 and 3, as well as conventional approaches such as beam steering, angle search and singular value decomposition. Copyright © 2021, The Authors. All rights reserved.

关键词： Millimeter waves

来源：评论

学校读者我要写书评

暂无评论

Implementation and Comparison of SiC and GaN switches for EV Fast Recharging Systems

Implementation and Comparison of SiC and GaN switches for EV...

引用

Environment and Electrical engineering (EEE-AM), Asia Meeting on

作者： Daniele Scirè Giovanni Garraffa Giuseppe Lullo Gianpaolo Vitale Pasquale Cusumano Michele Calabretta Angelo Alberto Messina Giuseppe Costantino Alessandro Busacca Antonino Sferlazza Department of Engineering University of Palermo Palermo Italy Faculty of Engineering and Architecture University of Enna Kore Enna Italy Institute for High Performance Computer and Networking National Research Council of Italy Palermo Italy ADG Power and Discretes R&D Division STMicroelectronics Catania Italy R&D and Public Affairs STMicroelectronics Catania Italy

Wide bandgap material-based devices allow faster switching frequency and exhibit smaller losses than traditional Si devices; nevertheless, a complete understanding of the functioning of these new devices remains poorly understood. A fast battery charger for electric vehicles based on a converter employing SiC and GaN devices is here reported Besides, these two technologies are experimentally compared, in the same layout, to highlights their performance in terms of electrical dynamic and electromagnetic compatibility.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Situational coverage and rate distribution maps for 5G V2X systems using ray-tracing

arXiv

引用

arXiv 2021年

作者： Balti, Elyes Wireless Networking and Communications Group Department of Electrical and Computer Engineering University of Texas at Austin AustinTX78712 United States

Millimeter wave (mmWave) is a practical solution to provide high data rate for vehicle-to-everything (V2X) communications. This enables the future autonomous vehicles to exchange big data with the base stations (BSs) such as the velocity, and the location to enhance the safety for the advanced driving assistance system (ADAS). To achieve this goal, we propose to develop a situational rate map to characterize the distribution of the rates achieved between the BSs and a uniform grid of vehicles. In this context, we consider a mmWave 5G cellular system with two physical structures which are the analog-only beamforming and hybrid precoding with limited feedback to investigate the rate distribution for single and multiuser scenarios. We will use the Ray-Tracing tool to construct the simulation environment and generate the channels between the BSs and the grid of vehicles. Finally, we will study the effects of the carrier frequency, the bandwidth, the BSs deployment, the blockage, the codebook, the physical architectures and the number of served users on the rate distribution maps. Moreover, we will present the rate statistics to evaluate the coverage of served users for certain services requirements and for various road shapes such as corners, intersections and straightways. Copyright © 2021, The Authors. All rights reserved.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

Hybrid Precoding for mmWave V2X Doubly-Selective Multiuser MIMO Systems

arXiv

引用

arXiv 2021年

作者： Balti, Elyes Department of Electrical and Computer Engineering Wireless Networking and Communications Group University of Texas at Austin AustinTX78712 United States

Millimeter wave (mmWave) is a practical solution to provide high data rate for the vehicle-toeverything (V2X) communications. This enables the future autonomous vehicles to exchange big data with the base stations (BSS) such as the velocity and the location to improve the awareness of the advanced driving assistance system (ADAS). In this context, we consider a single-cell multiuser doublyselective system wherein the BS simultaneously serves multiple vehicles. To accomplish this requirement, the BS is implemented in hybrid architecture to support multiple spatial streams while the vehicles have analog-only structures. In this work, we develop a low-complexity hybrid precoding algorithm wherein the design of the hybrid precoder at the BS and the analog combiner at the vehicles require small training and feedback overhead. We propose a two-stage hybrid precoding algorithm wherein the first stage designs the analog beamformers as in single user scenario while the second stage designs the multiuser digital precoder at the BS. In the second stage, we derive closed-form digital precoders such as Maximum Ratio Transmission (MRT), Zero-Forcing (ZF) and Minimum Mean Square Error (MMSE) as a first variant while we propose iterative digital precoder as a second variant. The design of the digital precoders for the two variants requires the limited feedback sent from the vehicles to BS. We refer to the random vector quantization (RVQ) and the beamsteering codebooks to quantize the feedbacks for variants I and II, respectively, since the perfect feedback requires long overhead and large training. We evaluate the rate loss incurred by the quantization of the digital and analog codebooks against the perfect channel state information at the transmitter (CSIT). Moreover, we compare the robustness of the proposed algorithm against the exhaustive (joint) beam search which serves as a benchmarking tool. Besides, we investigate the effects of the vehicle mobility on the error performance

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

UAV-Aided Covert Federated Learning Networks

引用

IEEE Network 2025年

作者： Wang, Chao Guo, Shaoyong Xiong, Zehui Xing, Chengwen Zhao, Nan Niyato, Dusit Karagiannidis, George Dalian University of Technology School of Information and Communication Engineering Dalian116024 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Singapore University of Technology and Design Information Systems Technology and Design Pillar 487372 Singapore Beijing Institute of Technology School of Information and Electronics Beijing100081 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Aristotle University of Thessaloniki Department of Electrical and Computer Engineering Greece

With the increasing emphasis on data privacy, federated learning (FL) networks show great potential through distributed training without directly sharing the raw data. However, the coverage of FL terrestrial servers is usually limited. Therefore, we propose leveraging the unmanned aerial vehicle (UAV) as a mobile flying server to further improve the wireless coverage and training efficiency of FL. Nevertheless, frequent exchanges of model parameters in UAV-assisted FL can result in serious security risks. In order to achieve this, we propose a covert FL scheme assisted by the UAV, which can protect the transmission key features of local models from being detected by wardens. Furthermore, we discuss the FL network and covert communications, as well as the exceptional features of UAV-assisted covert FL. Finally, we present two case studies, one of which focuses on minimising the network latency, while the other concentrates on reducing the energy consumption of covert FL. The simulation results demonstrate the efficacy of the proposed schemes in addressing future challenges. © 1986-2012 IEEE.

关键词： Data privacy

来源：评论

学校读者我要写书评

暂无评论

An Intelligent Method for Train Accident Prevention and Detection Using ResNet and Long Short-Term Memory Network

An Intelligent Method for Train Accident Prevention and Dete...

引用

Self Sustainable Artificial Intelligence Systems (ICSSAS), International Conference on

作者： M. Jeyaselvi V. Kavitha S. Kalaiarasi Savanam Chandra Sekhar Nitin Girdharwal Sindhu K Department of Networking and Communications SRM Institute of Science and Technology Kattankulathur Chennai India Department of Mathematics Vardhaman College of Engineering Hyderabad India Department of Data Science Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Department of BBA Koneru Lakshmaiah Education Foundation KL University Vijayawada Telangana India Faculty of Management Prestige Institute of Management & Research (PIMR) Indore India Master of Computer Applications M.Kumarasamy College of Engineering Karur Tamilnadu India

At unattended railroad crossings, numerous technologies have been developed to monitor trains, identify objects, and automatically open and close gates. In order to prevent accidents at the crossing, the currently planned systems may effectively close and open the gates upon the arrival and departure of trains. However, there are frequently incidents at railroad crossings caused by the unexpected arrival of trains. Indulging in headphone use is a leading cause of accidents on railroad tracks. The literature review revealed that no viable approach for preventing such mishaps had been developed. The purpose of this proposed system is to provide a comprehensive analysis of the current systems dedicated to the prevention of accidents in real time. Preprocessing, feature selection, and model performance evaluation are all used in the suggested method. The DWT method is used for preprocessing in the suggested method. PCA and LDA are used for feature selection. The suggested method employs ResNet LS TM to assess the efficiency of the model. Two conventional approaches, LSTM and GRU, are contrasted with the proposed methodology. The proposed method outperforms the other two.

关键词：

来源：评论

学校读者我要写书评

暂无评论

GCN-Enhanced Multi-Agent MAC Protocol for Vehicular Communications

GCN-Enhanced Multi-Agent MAC Protocol for Vehicular Communic...

引用

IEEE International Conference on Industrial Informatics (INDIN)

作者： Mengfei Li Wei Wang Shijie Feng Tiange Fu Yan Wang Hui Zhang State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Sichuan Jiuzhou Electronic Group Co. Ltd. Mianyang China Department of Civil and Environmental Engineering The Hong Kong Polytechnic University Hong Kong China School of Computer and Information Technology Beijing Jiaotong University Beijing China

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

In the vehicular ad-hoc network (VANET) environment, the constant changes in traffic systems due to the real-time mobility of vehicles pose a challenge in developing communication strategies that can swiftly adapt to dynamic topological variations. Traditional protocols such as CSMA/CD offer dynamic access to shared media, but their efficiency is compromised by CSMA/CA's collision avoidance strategy, which reduces channel use due to its backoff algorithm. This paper introduces a novel Graph Convolutional Network-based Multi-Agent Reinforcement Learning MAC protocol (GM-MAC) for vehicular networks. Unlike the Neuro-DCF protocol, GMMAC incorporates local vehicular data directly, enabling more context-aware learning. Compared to other GNN-based MARL approaches like GraphComm, GMMAC better handles real-time changes and interactions among vehicles. Experimental results show that GMMAC significantly improves successful transmission numbers and reduces collisions, outperforming traditional CSMA/CA methods and other MARL approaches without GCN integration.

关键词： Protocols Heuristic algorithms Scalability Refining Vehicular ad hoc networks Reinforcement learning Media Real-time systems Vehicle dynamics Observability

来源：评论

学校读者我要写书评

暂无评论

TrustChain-VANETs: Blockchain and IPFS Integration for Reliable and Secure Vehicular Communication in Intelligent Transportation Systems (ITS)

引用

IET Intelligent Transport Systems 2025年第1期19卷

作者： Zia Ullah Ghassan Husnain Abid Iqbal Ibrar Ali Shah Ali Saeed Alzahrani Ramasamy Srinivasaga Naidu Yazeed Yasin Ghadi Mohammed S. Al-Zahrani Department of Computer Software Engineering University of Engineering and Technology Mardan Mardan Pakistan Department of Computer Science CECOS University of IT and Emerging Sciences Peshawar Pakistan Department of Computer Engineering College of Computer Sciences and Information Technology King Faisal University AlAhsa Saudi Arabia Department of Computer Science and Software Engineering Al Ain University Abu Dhabi UAE Department of Computer Networking College of Computer Sciences and Information Technology King Faisal University AlAhsa Saudi Arabia

Vehicular ad-hoc networks (VANETs) are pivotal in intelligent transportation systems (ITS), enabling enhanced traffic efficiency and safety. However, VANETs within ITS face critical challenges related to trust, privacy, and data reliability. To address these issues, this paper proposes a comprehensive solution that integrates blockchain and InterPlanetary file system (IPFS) technologies for ITS applications. We introduce a blockchain-based trust management system, TrustChain-VANETs, designed to ensure message credibility, privacy, and data reliability in ITS environments. Our model safeguards vehicle privacy while enabling credible messages to be shared through anonymous aggregate vehicular announcements, an essential feature for ITS. Reputation values, stored in the blockchain, allow roadside units (RSUs) to assess message reliability, achieving a 15% higher malicious vehicle detection rate compared to traditional methods at low probabilities of false reporting, crucial for trust in ITS. Additionally, conditional privacy is maintained by tracking malicious entities through public addresses, ensuring accountability in ITS. The system leverages IPFS on RSUs for secure, reliable data storage, with aggregated event data from vehicles stored in IPFS and vehicle reputation values maintained on the blockchain, addressing storage and cost challenges in ITS. This approach reduces transaction costs by 20% and decreases storage overhead by 30%, enhancing the efficiency of ITS data sharing. An incentive mechanism encourages honest data sharing among vehicles, with monetary rewards for aligning with verified event information, transparently recorded on the blockchain. Performance analysis demonstrates that TrustChain-VANETs reduces message verification time by an average of 25% compared to traditional proof-of-work blockchain models, making it suitable for the dynamic and demanding nature of ITS. This innovative framework addresses critical challenges in VANETs, delivering robu

关键词： data privacy security of data vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

Over-the-air Wireless Federated Learning Model for Generative AI

引用

IEEE Network 2025年

作者： Zheng, Jie Niyato, Dusit Zhang, Haijun Du, Hongyang Wang, Jiacheng Kang, Jiawen Xiong, Zehui Northwest University State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services School of Information Science and Technology Shaanxi 710127 China Nanyang Technological University School of Computer Science and Engineering Singapore639798 Singapore University of Science and Technology Beijing Institute of Artificial Intelligence Beijing100083 China University of Hong Kong Department of electrical and electronic engineering Hong Kong Hong Kong Guangdong University of Technology Automation of School Guangzhou510006 China Singapore University of Technology and Design Pillar of Information Systems Technology and Design Singapore

Generative artificial intelligence (GenAI) technologies represent an important advancement in the field of AI, particularly for their capabilities in text and image generation. Over-the-air wireless federated learning (OA-WFL) can utilize the wireless waveform superposition property to achieve efficient model aggregation, thereby providing support for GenAI training and deployment. Therefore, this article investigates the support of OA-WFL for GenAI, focusing on potential applications and specific examples. We first discuss the OA-WFL and GenAI models, emphasizing their functionalities and the potential benefits arising from their interaction. We then explore its application in various GenAI scenarios, including large-scale edge device content generation, efficient distributed training of GenAI models, and reduction of bandwidth requirements and device load. Next, a framework is proposed to apply OA-WFL to diffusion models, such as those used in image generation, and validate its effectiveness through simulation results. Finally, we discuss prospective research directions for the application of OA-WFL for GenAI. © 2025 IEEE.

关键词： Federated learning

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：