检索结果-内蒙古大学图书馆

Computing Challenges of UAV Networks: A Comprehensive Survey

computers, Materials & Continua 2024年第11期81卷 1999-2051页

作者： Altaf Hussain Shuaiyong Li Tariq Hussain Xianxuan Lin Farman Ali Ahmad Ali AlZubi School of Computer Science&Technology Chongqing University of Posts and TelecommunicationsChongqing400065China Key Laboratory of Industrial Internet of Things and Networked Control Ministry of EducationChongqing University of Posts and TelecommunicationsChongqing400065China School of Computer Science and Technology Zhejiang Gongshang UniversityHangzhou310018China School of Artificial Intelligence Nanjing University of Information Science&TechnologyNanjing210044China Department of Computer Science and Engineering School of ConvergenceCollege of Computing and InformaticsSungkyunkwan UniversitySeoul03063Republic of Korea Department of Computer Science Community CollegeKing Saud UniversityRiyadh11495Saudi Arabia

Devices and networks constantly upgrade,leading to rapid technological ***-dimensional(3D)point cloud transmission plays a crucial role in aerial computing terminology,facilitating information *** network types,including sensor networks and 5G mobile networks,support this ***,Flying Ad hoc Networks(FANETs)utilize Unmanned Aerial Vehicles(UAVs)as nodes,operating in a 3D environment with Six Degrees of Freedom(6DoF).This study comprehensively surveys UAV networks,focusing on models for Light Detection and Ranging(LiDAR)3D point cloud compression/*** topics covered include autonomous navigation,challenges in video streaming infrastructure,motivations for Quality of Experience(QoE)enhancement,and avenues for future ***,the paper conducts an extensive review of UAVs,encompassing current wireless technologies,applications across various sectors,routing protocols,design considerations,security measures,blockchain applications in UAVs,contributions to healthcare systems,and integration with the Internet of Things(IoT),Artificial Intelligence(AI),Machine Learning(ML),and Deep Learning(DL).Furthermore,the paper thoroughly discusses the core contributions of LiDAR 3D point clouds in UAV systems and their future prediction along with mobility *** also explores the prospects of UAV systems and presents state-of-the-art solutions.

关键词： Autonomous vehicles UAV systems UAV transmission UAV in healthcare future of UAV system security measures

来源：评论

学校读者我要写书评

暂无评论

Excellent sensitivity and selectivity of g-C4N3 monolayer based gas senors for efficiently detecting nitrogen oxides: Spin-resolved quantum transport behaviors

引用

IEEE Sensors Journal 2025年第11期25卷 20687-20694页

作者： Zhou, Wensheng Luo, Cheng Tang, Peng Xiao, Xianbo Xionga, Songbo Chen, Tong Jiangxi University of Science and Technology School of Energy and Mechanical Engineering Jiangxi Provincial Key Laboratory of Multidimensional Intelligent Perception and Control Nanchang330013 China Jiangxi University of Chinese Medicine School of Computer Science Nanchang330004 China

NO and NO2 are important gases that can lead to the formation of photochemical smog and acid rain. Therefore, it is important to develop high-performance nitrogen oxide sensors. Here, the electronic structure, spin transport characteristics, and gas sensitivity of two-dimensional graphitic carbon nitride (2D g-C4N3) monolayers with doped magnetic metal atoms were studied via first-principles methods. A g-C4N3 monolayer exhibited ferromagnetic half-metallic and high-sensitivity properties for NO and NO2 detection. The monolayer nanodevices also exhibited perfect single-spin conduction with a spin-filtering efficiency of up to 100%. A designed g-C4N3 monolayer sensor strongly chemisorbed both NO and NO2, resulting in the formation of electrons in the local scattering region. This directly affected spin transport properties, resulting in NO and NO2 sensitivity up to 100%. A g-C4N3 sensor with transition metal doping (especially Fe) slightly improved NO detection and significantly reduced NO2 detection. Hence, a Fe-doped g-C4N3 sensor in a complex gas environment containing both NO and NO2 largely eliminated NO2 interference and increased NO detection. A g-C4N3 monolayer with excellent half-metal properties and high gas sensitivity will have potential applications in high-performance spin devices and spin-gas sensitive devices. © 2001-2012 IEEE.

关键词： Nitrogen oxides

来源：评论

学校读者我要写书评

暂无评论

Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process

引用

IEEE/CAA Journal of Automatica Sinica 2021年第8期8卷 1465-1476页

作者： Donglei Zheng Le Zhou Zhihuan Song State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Automation and Electrical Engineering Zhejiang University of Science&TechnologyHangzhou 310023China

In practical process industries,a variety of online and offline sensors and measuring instruments have been used for process control and monitoring purposes,which indicates that the measurements coming from different sources are collected at different sampling *** build a complete process monitoring strategy,all these multi-rate measurements should be considered for data-based modeling and *** this paper,a novel kernel multi-rate probabilistic principal component analysis(K-MPPCA)model is proposed to extract the nonlinear correlations among different sampling *** the proposed model,the model parameters are calibrated using the kernel trick and the expectation-maximum(EM)***,the corresponding fault detection methods based on the nonlinear features are ***,a simulated nonlinear case and an actual pre-decarburization unit in the ammonia synthesis process are tested to demonstrate the efficiency of the proposed method.

关键词： Fault detection kernel method multi-rate process probability principal component analysis(PPCA)

来源：评论

学校读者我要写书评

暂无评论

A Cooperative Level Curve Tracking Algorithm without Communications 5

A Cooperative Level Curve Tracking Algorithm without Communi...

引用

5th International Conference on Intelligent Autonomous Systems, ICoIAS 2022

作者： Ding, Tianyi Zheng, Ronghao Zhang, Senlin Liu, Meiqin College of Electrical Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou China State Key Laboratory of Industrial Control Technology Hangzhou China Institute of Artificial Intelligence and Robotics xi'An Jiaotong University Xi'an China

ISBN: (数字)9781665498388

ISBN: (纸本)9781665498388

Algorithms for a multi-robot system to track the desired level curve of a scalar field have a wide range of applications in environmental exploration. Traditional algorithms generally require communications between robots for gradient estimation on the unknown environment. In the case where the accurate global locations and communications are limited, e.g., underwater environments, communication-based algorithms may be inapplicable. This paper proposes an improved algorithm that does not rely on communications nor global locations of robots. A distributed formation control law is designed to solve the level curve tracking problem. Each robot only uses local measurements of the field and relative positions of its neighbors to maintain formation. The dynamics and stability of the algorithm are analyzed. Additionally, the efficiency of the algorithm is validated through simulations. © 2022 IEEE.

关键词： Multipurpose robots

来源：评论

学校读者我要写书评

暂无评论

Fluorescent lamp promoted formaldehyde removal over CeO_(2) catalysts at ambient temperature

引用

Journal of Rare Earths 2022年第6期40卷 906-915,I0002页

作者： Zhaoxiong Yan Gang Huang Geming Wang Ming Xiang Xiaofang Han Zhihua Xu Hubei Key Laboratory of Industrial Fume and Dust Pollution Control Jianghan UniversityWuhan 430056China School of Materials Science and Engineering Wuhan Institute of TechnologyWuhan 430205China School of Chemistry and Chemical Engineering Wuhan University of Science and TechnologyWuhan 430081China

Exploring an alternative strategy with high efficiency and low cost to abate formaldehyde(HCHO)in indoor environment,is of increasing significance for people’s ***_(2) catalysts prepared by hydrothermal,precipitation and calcination methods were investigated for HCHO removal at ambient *** is found that indoor fluorescent light visibly boosts the catalytic performance of CeO_(2) catalysts for HCHO decomposition at ambient *** the CeO_(2) catalysts,CeO_(2) prepared from hydrothermal method(CeO_(2)-H)exhibits a superior catalytic performance and an excellent durability by eight recycle *** on the characterization and analysis,the excellent catalytic performance of CeO_(2)-H is mainly contributed by its abundance of surface oxygen vacancies,and photogenerated electrons and hole activated by fluorescent *** work shows a potential practicability in HCHO pollution elimination by taking full advantage of the existing lighting in indoor environments.

关键词： HCHO abatement CeO_(2)catalyst Preparation method Oxygen vacancy Fluorescent light irradiation Rare earths

来源：评论

学校读者我要写书评

暂无评论

AggFollower: Aggressiveness Informed Car-Following Modeling

IEEE Transactions on Intelligent Vehicles

引用

IEEE Transactions on Intelligent Vehicles 2024年 1-15页

作者： Chen, Xianda Yuan, Xinyi Zhu, Meixin Zheng, Xinhu Shen, Shaojie Wang, Xuesong Wang, Yinhai Wang, Fei-Yue Guangzhou China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong SAR China School of Transportation Engineering Tongji University Shanghai China Department of Civil and Environmental Engineering University of Washington Seattle WA USA State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

Car-following is the most common driving scenario where a following vehicle follows a lead vehicle in the same lane. One crucial factor of car-following behavior is driving style which affects speed and gap selection, acceleration pattern, and fuel consumption. However, existing car-following research used limited categories of driving style through pre-defined patterns and failed to encode driving style into data-driven car-following models. To address these limitations, we propose the Aggressiveness Informed Car-Following (AICF) modeling approach, which embeds driving style as a dynamic input feature in data-driven car-following models. In detail, We design driving aggressiveness tokens using four physical quantities (jerk, acceleration, relative speed, and relative spacing) to capture the heterogeneity of driving aggressiveness. These tokens were then embedded into a physics-informed Long Short-Term Memory (LSTM) based car-following model for trajectory prediction. To evaluate the effectiveness of our approach, we conducted extensive experiments based on 12,540 car-following events extracted from the HighD dataset and 24,093 events from the Lyft dataset. Compared to models devoid of considerations for driving aggressiveness levels, AICF exhibits superior efficacy in mitigating the Mean Square Error (MSE) of spacing and collision rate. To the best of our knowledge, this is the first work to directly incorporate real-time driving aggressiveness tokens as input features into data-driven car-following models, enabling a more comprehensive understanding of aggressiveness in car-following behavior. IEEE

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

A new EEG emotion recognition method based on channel space attention 3

A new EEG emotion recognition method based on channel space ...

引用

3rd International Conference on Artificial Intelligence, Virtual Reality, and Visualization, AIVRV 2023

作者： Fan, Tianqi Wang, Huihui Qiu, Sen Liu, Long Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education The School of Control Science and Engineering Dalian University of Technology Dalian116024 China School of Intelligence and Electronic Engineering Dalian Neusoft University of Information Dalian116023 China

ISBN: (纸本)9781510671485

EEG signals are better able to show changes in human emotions. However, not all channels or spatial EEG signals are valid for emotion recognition. To capture the key effective features of EEG signals that are helpful for emotion recognition, we propose to use the channel space attention mechanism in EEG emotion recognition. We used channel attention to focus on the importance of different channel signals and spatial attention to focus on the importance of different brain regions. Experimental results show that the channel spatial attention mechanism achieves good performance and that it has significant benefits for EEG emotion recognition. © 2023 SPIE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Research on River Floating Objects Detection Method Based on Deep Learning

Research on River Floating Objects Detection Method Based on...

引用

computer, Vision and Intelligent Technology (ICCVIT), International Conference on

作者： Jiaqi Xu Yining Zhao Yuqi Cao Dibo Hou State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China

ISBN: (数字)9798331540043

ISBN: (纸本)9798331540050

The environmental issues have become increasingly prominent, and water environments have remained a major societal concern. Surface pollutants in rivers are one of the key factors damaging water environments. Given the large number and wide distribution of rivers, manual river inspections and the collection of floating objects are time-consuming and labor-intensive. In this study, a river surface floating objects detection method based on deep learning is proposed. To address the noise issues caused by interferences in natural scenes, an image preprocessing method based on median filtering and Laplace operator is studied. In order to select the most suitable deep learning algorithm, this work compares the YOLOv5, Faster-RCNN, and SSD algorithms. After comparative analysis, an optimized YOLOv5 model is proposed for detecting floating objects on river surfaces. Finally, a visualization platform is developed based on PyQt5, enabling real-time monitoring and display of floating objects in river surveillance videos. Experimental results demonstrate that this method can effectively detect floating objects on river surfaces, with recall rate of 0.741 for artificial trash, mAP@0.5 of 0.798, and mAP@0.5:0.95 of 0.704. This system achieves real-time surface floating objects monitoring in rivers and open channels, providing crucial information for the protection and management of water environments.

关键词： YOLO Deep learning Laplace equations Filtering Surface contamination Noise Real-time systems Water pollution Rivers Videos

来源：评论

学校读者我要写书评

暂无评论

First attempt of barrier functions for Caputo's fractional-order nonlinear dynamical systems

引用

Science China(Information Sciences) 2023年第7期66卷 313-314页

作者： Zheren ZHU Pengfei HUANG Xinmin ZHANG Yi CHAI Zhihuan SONG College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology School of Automation Chongqing University Key Laboratory of Complex System Safety and Control(Chongqing University) Ministry of Education

Dear editor, In the past two decades, scholars have begun to use system dynamical models and state motions to study the safety of a system to realize the analysis, diagnosis, and control of system safety. This safety ...

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quantification of valve stiction in control loops using adaptive differential evolution algorithm

Quantification of valve stiction in control loops using adap...

引用

2024 China Automation Congress, CAC 2024

作者： Yang, Dong Lang, Xun Wu, Jiande Yu, Wanke Liu, Songhua Xie, Lei Department of Electronic Engineering Information School Yunnan University Kunming China Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan University Kunming China School of Automation China University of Geosciences Wuhan China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China

ISBN: (纸本)9798350368604

Accurately and promptly quantifying stiction is crucial for valve maintenance in industrial settings and ensuring the stability of control loop performance. However, current Hammerstein-based stiction quantification methods overlook valve dynamics, potentially leading to inaccurate quantification. Therefore, this paper proposes a novel stiction quantification method based on an adaptive differential evolution algorithm. In addition to considering the impact of valve dynamics on stiction, the proposed method demonstrates a certain level of robustness against the interference of unknown noise. Finally, the effectiveness of the proposed method is demonstrated through a series of simulations and industrial case studies. © 2024 IEEE.

关键词： Adaptive 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：