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IEEE 802.11 VANETs for Safety of Autonomous Driving: QoS Requirements & Benchmarking 100

IEEE 802.11 VANETs for Safety of Autonomous Driving: QoS Req...

引用

100th IEEE Vehicular Technology conference, VTC 2024-Fall

作者： Ma, Xiaomin Ding, Shengli Zhang, Tingyu Oral Roberts University School of Engineering TulsaOK74171 United States Purdue University Elmore Family School of Electrical and Computer Engineering United States Dalian University of Science and Technology College of Software Engineering China

ISBN: (纸本)9798331517786

It is anticipated that wireless vehicular ad hoc networks (VANETs) can further enhance the safety of autonomous vehicles. Recently, two major standards for the next generation of VANET technologies have been suggested and tested: IEEE 802.11p/bd and 3GPP NR-V2X. Compared with human driving VANET, autonomous driving VANET poses big challenges for more stringent requirements on reliability and delay of message transmissions. Up to date, the quality of service (QoS) requirements of VANETs for the safety services of autonomous driving vehicles have not been investigated systematically. Whether or not the current proposed communication systems can meet such high QoS requirements is unclear. this paper reviews the communication requirements for safety use cases, and the QoS requirements for level 5 autonomous driving VANETs are deduced. then, the QoS of IEEE 802.11-based VANETs, including 802.11p, 802.11bd, and other 802.11 cutting-edge versions, are evaluated by simulations and analyses on a few selected safety use cases and benchmarked against the corresponding QoS requirements. the numerical results reveal that the current IEEE 802.11p/bd cannot meet the QoS requirements for some selected safety applications in autonomous driving vehicles. However, IEEE 802.11 systems with new enhancements can potentially support safety services with assured QoS. © 2024 IEEE.

关键词： Vehicular ad hoc networks

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Review of Animal Remote Managing and Monitoring System 5

Review of Animal Remote Managing and Monitoring System

引用

5th Artificial Intelligence and Cloud Computing conference, AICCC 2022

作者： Ojo, John Io Tu, Chunling Owolawi, Pius A Du, Shengzhi Plessis, Deon Du Department of Computer System Engineering Tshwane University of Technology Pretoria South Africa

ISBN: (纸本)9781450398749

Livestock is an integral part of everyday life contributing to the social, cultural, and economic sectors. Livestock farming faces challenges in animal remote management and monitoring, due to cost constraints and product quality requirements. the latest development of smart techniques, especially the Internet of things (IoT) and cloud devices/services provide significant potential for efficient and secure farm management. this paper presents a review of smart farm management and monitoring systems for livestock based on IoT techniques, including the monitoring of animal behavior, weather condition, environment, and more. the review provides a comprehensive understanding of the sensing techniques, data analysis, communication, hardware, and software used in existing smart livestock solutions. © 2022 ACM.

关键词： Drones

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Performance of Monofacial and Bifacial Solar System for 5MW grid-connected solar power plant with Fixed Tilt and Tracking: Design, Simulation and investigating the effect of temperature 28

Performance of Monofacial and Bifacial Solar System for 5MW ...

引用

28th International Electrical Power Distribution conference, EPDC 2024

作者： Eidiani, Mostafa Ghavami, Afrooz Zeynal, Hossein Zakaria, Zuhaina Energy Security and Sustainable Energy Institute Modarres 4 MashhadP.C.: *** Iran Master of Electrical Engineering-Energy Systems Planning and Management Researcher Esfarayen Iran Buein Zahra Technical University Buein Zahra Dept. of Electrical and Computer Eng Qazvin Iran Universiti Teknologi Mara School of Electrical Engineering College of Engineering Shah Alam40450 Malaysia

ISBN: (纸本)9798350385502

In this paper, a 5000 kW grid-connected photovoltaic system of Haft-Hoze Natural Park, 7 km southeast of Mashhad City, has been designed and simulated. this power plant is for two monofacial and bifacial systems in both fixed and tilted planes and trackers modes in PVSYST software. It is simulated and designed and the simulation data is compared in both cases. In this paper, the effect of temperature on solar panel performance is investigated first. this work has been done in three stages. At first, by keeping the solar radiation constant, the effect of temperature on the output performance of the panel. In the next step, the P-V curves at different ambient temperatures and changes in solar radiation have been investigated. In the following, it shows the effect of PV panel temperature on PV panel output performance at different intensities of solar radiation. the simulation results of the 5000 kW solar power plant, in a fixed tilted plane for the monofacial system, energy injected into the grid and performance ratio are 8291 MWh and 0.850. the bifacial system, energy injected into the grid, and performance ratio are 8730 MWh and 0.896. In the Trackers mode, for the monofacial system, energy injected to the grid and performance ratio are 9558 MWh and 0.838. For the bifacial system, energy injected into the grid and performance ratio are 10025 MWh and 0.880. © 2024 IEEE.

关键词： Solar power plants

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Contactless Breathing Waveform Detection through RF Sensing: Radar vs. Wi-Fi Techniques 10

Contactless Breathing Waveform Detection Through RF Sensing:...

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10th IEEE International conference on Communications and Networking, ComNet 2023

作者： Saeed, Umer Zheng, Dingchang Shah, Behzad Ali Shah, Syed Ikram Jan, Sana Ullah Ahmad, Jawad Abbasi, Qammer H. Shah, Syed Aziz Boulila, Wadii Coventry University Research Centre for Intelligent Healthcare CoventryCV1 5FB United Kingdom National University of Sciences and Technology College of Electrical and Mechanical Engineering Islamabad44000 Pakistan Edinburgh Napier University School of Computing Engineering and the Built Environment EdinburghEH10 5DT United Kingdom University of Glasgow James Watt School of Engineering GlasgowG12 8QQ United Kingdom University of Manouba RIADI Laboratory National School of Computer Sciences Manouba Tunisia

ISBN: (纸本)9798350381719

Human breathing detection plays a vital role in healthcare, safety, and various other applications. this research paper explores the use of radio-frequency (RF) sensing technologies, specifically radar and Wi-Fi, for detecting human breathing patterns. Abnormal breathing patterns can indicate respiratory or cardiovascular diseases, and early detection is crucial for timely diagnosis and treatment. Radar-based systems utilize low-power RF pulses to capture subtle chest movements associated with breathing, while software-defined radio (SDR)-based systems analyze Wi-Fi signals to detect variations caused by human chest motion. Deep learning algorithms, namely residual neural network (ResNet) and deep multilayer perceptron (DMLP), are employed to classify breathing patterns based on the collected data. ResNet attained classification accuracy up to 90% on radar-based spectrogram images data, while DMLP attained classification accuracy up to 99% on SDR-based channel state information data. the proposed approaches offer non-intrusive, remote-operable, and cost-effective solutions for breathing detection. the research demonstrates the potential of RF sensing technologies in healthcare, eldercare, sleep monitoring, and emergency response systems, paving the way for enhanced well-being and safety. © 2023 IEEE.

关键词： software radio

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A Brief Analysis of Soft Computing Techniques in software Fault Prediction 5

A Brief Analysis of Soft Computing Techniques in Software Fa...

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5th International conference on Information systems and computer Networks, ISCON 2021

作者： Garg, Hitendra GLA University Department of Computer Engineering and Applications Mathura India

ISBN: (纸本)9781665403412

software testing and fault prediction is major part of any software development. It not only reduces the overall cost and efforts but also increase the robustness of the system. Tester has to find or predicts the fault in advance to design premium fault free software. Soft-computing is basically is used for identifying defect in advance through techniques like Fuzzy logic, Neural Network and other metaheuristic techniques. In this paper we are doing a brief analysis of different soft computing techniques used in software fault prediction. Different datasets and parameter selection is used in the calculation of faulty module, model's efficiency and accuracy. Recent studies with their benefit and loss are being compared to find out best possibilities and combination of model for better stabilized results © 2021 IEEE.

关键词： Soft computing

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An Investigation into Effective Data Analysis Methods for Sensor Datasets of a Sample Building 22

An Investigation into Effective Data Analysis Methods for Se...

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5th International conference on Big Data Technologies, ICBDT 2022

作者： Song, William Wei Zhu, Yurong Wang, Xiaohuan Peng, Xiangdong Information Systems School of Information and Engineering Dalarna University Borlänge Sweden Research Institute of Wood Industry Institute of Ecological Conservation and Restoration Chinese Academy of Forestry Key Laboratory of Wood Science and Technology National Forestry and Grassland Administration Beijing100091 China School of Software and Internet of Things Engineering Jiangxi University of Finance and Economics Nanchang330013 China

ISBN: (纸本)9781450396875

Abstract. An appropriate selection of effective data analysis methods is extremely important to conduct a reasonable data analysis experiment for a large set of data related to a building environment and obtain reliable data analysis results. this paper, based on the previous investigation of the sensor data for an experimental sample building, make a comparison study of different machine learning methods for a given dataset. the results reveal some interesting features of the dataset that have not been recognized earlier. the comparison and the results point out a clearer roadmap for the next step of this investigation. © 2022 ACM.

关键词： Machine learning

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A Mini Review on Purchaser Security in the Metaverse: Challenges and Solutions

A Mini Review on Purchaser Security in the Metaverse: Cha...

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PhD Symposium, Posters, Demos, and A Web for more inclusive, sustainable and prosperous societies, WEB-for-GOOD 2024 and 1st International Workshop on AI and Web Data Analytics, AIWDA 2024 form the 25th International conference on Web Information systems engineering, WISE 2024

作者： Aloudat, Mohammad Barhamgi, Mahmoud Yaacoub, Elias Department of Computer Science and Engineering Qatar University Doha Qatar

ISBN: (纸本)9789819614820

this mini review examines the security challenges faced by purchasers in the metaverse, focusing on issues such as data protection, privacy, identity theft, financial fraud, and software vulnerabilities. the metaverse, characterized by its immersive, decentralized, and interactive nature, presents unique risks due to extensive data collection, real-time user tracking, and the integration of digital and physical worlds. this mini review highlights specific threats such as unauthorized access, exploitation of biometric data, and fraudulent activities involving blockchain-based assets like non-fungible tokens (NFTs). Mitigation strategies, including advanced encryption, multi-factor authentication, decentralized identity solutions, and regulatory frameworks, are discussed as essential to safeguarding purchasers. the paper concludes by identifying gaps in current research and proposing directions for future studies, emphasizing the need for interdisciplinary approaches to enhance metaverse security. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Differential privacy

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Application Research of Bayesian Optimization-based Graph Convolutional Neural Networks in Academic Warning systems 24

Application Research of Bayesian Optimization-based Graph Co...

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2024 7th International conference on computer Information Science and Artificial Intelligence, CISAI 2024

作者： Wang, Jihong Dong, Shaoying Software Engineering Institute of Guangzhou Guangdong Guangzhou China

ISBN: (纸本)9798400707254

In higher education, increasing attention is being given to "struggling students" as a distinct group. Current academic warning systems, which react after issues arise, hinder timely and effective interventions, highlighting the need for a proactive and precise warning system. this study introduces a Bayesian Optimization-based Graph Convolutional Neural Network (GCN) model to enhance academic warning systems’ performance. Bayesian optimization is used to fine-tune GCN hyperparameters, automatically identifying the optimal model configuration to improve accuracy and robustness. By analyzing students’ learning logs and creating interaction graphs between students and knowledge points, the model extracts embeddings through graph convolution. A Bayesian optimization strategy iteratively searches for optimal neural network structures and parameters like learning rate. Experiments with a dataset of 5,000 students and 1,000 knowledge points show that incorporating Bayesian optimization significantly improves key metrics such as recommendation accuracy and recall rate, and offers enhanced robustness in sparse data and cold start scenarios, providing a novel optimization approach for academic warning systems in complex networks. © 2024 Copyright held by the owner/author(s).

关键词： Convolutional neural networks

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Enhancing Education Process through Intelligent Association Mining (IAM) System Conversations: Chatbot Services in Educational Settings 23

Enhancing Education Process Through Intelligent Association ...

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5th World Symposium on software engineering, WSSE 2023

作者： thongda, Nattha Songpan, Wararat Bureau of Academic Administration and Development Khon Kaen University Thailand Department of Computer Science College of Computing Khon Kaen University Thailand

ISBN: (纸本)9798400708053

Nowadays, chatbots are growth in terms of business, and it is necessary for businesses to implement innovative approaches to repository big data and provide customer service twenty-four hours. Moreover, chatbots system is explored the efficacy and potential of applied services to enhance education through intelligent conversations and AI techniques. the study aims to investigate how chatbots based on intelligent association mining method called IAM can contribute to educational settings by providing personalized and interactive questions and answering. In aspects of cluster are divided into 6 clusters as 1) Enrollment 2) Academic service 3) Student profile 4) Admission 5) Check and tracking grade and 6) Finance. the implementation of enhancing education process through intelligent association mining found out the overall accuracy of answering correctly to 92.16% compared with traditional way was cost human time-consuming investment to answer the question via chat in social media. the benefit of deployed IAM chatbot system used the several of educational services’ question in university which is huge number of around 45,000 students per year. © 2023 Copyright held by the owner/author(s).

关键词： Intelligent systems

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Spatial Transmit Diversity for Enhance Spatial Modulation with Transmit Antennas Grouping

Spatial Transmit Diversity for Enhance Spatial Modulation wi...

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IEEE International conference on Power, Intelligent Computing and systems (ICPICS)

作者： Xiaopin Wang Fuchun Huang Jinglun Shi Software Engineering Institute of Guangzhou South China University of Technology Guangzhou China Software Engineering Institute of Guangzhou Guangzhou China South China University of Technology Guangzhou China

In this paper, we propose a new design, called as spatial transmit diversity-achieving ESM (STD-ESM) with transmit antenna grouping, which further enhance the communication quality in MIMO system. In our STD-ESM, all available transmit antennas (TAs) are divided into multiple groups, each with one or two active antennas. In order to obtain the diversity gain from the transmitter, multiple versions of the signal symbol(s) from three different constellations are respectively modulated by the selected antenna index (AI) vectors on the active antenna(s) in each group. Furthermore, the transmit rate and the bit error probability (BEP) are provided. Finally, computer simulation results verify that a lower BEP performance can be achieved by the STD-ESM in comparison with existing spatial modulations.

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