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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

共 3899 条记录，以下是1331-1340 订阅

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Design of classification system for cupping-induced plaque images based on deep learning 3

Design of classification system for cupping-induced plaque i...

引用

3rd international conference on Artificial Intelligence and Computer engineering, ICAICE 2022

作者： Wang, Yongjie Qin, Jianhua College of Mechanical and Control Engineering Guilin University of Technology Gua ngxi Guilin541004 China

ISBN: (纸本)9781510663473

The purpose of this design is to improve the efficiency of cupping-induced plaque sorting and to meet the needs of the people to complete cupping-induced plaque sorting accurately. Deep learning methods and image classification techniques are used in the classification system to construct a classification model for cupping-induced plaques by migration learning on the RESNET convolutional neural network. The system classifies the cupping-induced plaque images based on that uploaded by the population. The experimental results shows that the classification accuracy of each category is above 80%, which verifies the effectiveness of the classification system. © 2023 SPIE.

关键词： Deep learning

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Adaptive star extraction algorithm in high dynamic 3

Adaptive star extraction algorithm in high dynamic

引用

3rd international conference on Laser, Optics, and Optoelectronic Technology, LOPET 2023

作者： Zhang, Xuwei Zhan, Xiaomin Sun, Shuodong Gao, Yuan Han, Chang Shanghai Aerospace Control Technology Institute No. 1555 Zhongchun Road Minhang District Shanghai201109 China Shanghai Key Laboratory of Aerospace Intelligent Control Technology No. 1555 Zhongchun Road Minhang District Shanghai201109 China

ISBN: (纸本)9781510667624

At high angular velocity, the signal-to-noise ratio(SNR) of star image may become very low due to star point tailing, which leads to the decline of the star extraction rate. To solve this problem, an adaptive star extraction algorithm is proposed in this paper. Firstly, the star image is divided into several blocks, and the adaptive global threshold method is used in each block to get the gray extremum of each block. Then, the weight matrix of the star under the current angular velocity is obtained adaptively by Kalman filter. For the selected extreme pixel, the background threshold of the pixel is obtained by using the maximum background estimation method according to the calculated weight matrix. Finally, region growth is carried out in the eight neighborhood of the current pixel until all the star pixels are extracted. The experimental results show that this algorithm can extract stars in images taken at high angular velocity, and the extraction rate is higher than that of the traditional scanning method, which proves the algorithm is effective and has good robustness. © 2023 SPIE.

关键词： Pixels

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Adaptive control Scheme for Carrier-Based UAVs with Actuator Failure 3rd

Adaptive Control Scheme for Carrier-Based UAVs with Actuat...

引用

3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Xue, Yixuan Zou, Yuchun Chen, Yikun Zhen, Ziyang State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9789819710904

Considering the carrier landing task for a canard UAV, an adaptive control scheme is presented based on multivariable model reference adaptive control (MRAC) method. The UAV will suffer from external and internal disturbances during the landing process. The external disturbance includes the airwake and deck motion, while the internal disturbance denotes its own actuator failure. Simulation demonstrates that the proposed structure can improve tracking accuracy, rapidity, and robustness of glide path and attitude. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Model reference adaptive control

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Drowning Recognition for Ocean Surveillance using Computer Vision and Drone control

Drowning Recognition for Ocean Surveillance using Computer V...

引用

2023 IEEE international conference on Electro Information Technology, eIT 2023

作者： Rakotondraibe, Maureen Fang, Tianyang Saniie, Jafar Research Laboratory Department of Electrical and Computer Engineering ChicagoIL United States

ISBN: (纸本)9781665493765

According to WHO's report from 2021, Drowning is the 3rd leading cause of unintentional death worldwide. The use of autonomous drones for drowning recognition can increase the survival rate and help lifeguards and rescuers with their life saving mission. This paper presents a real-time drowning recognition model and algorithm for ocean surveillance that can be implemented on a drone. The presented model has been trained using two different approaches and has 88% accuracy. Compared to the contemporary models of drowning recognition designed for swimming pools, the model presented is better suited for outdoor applications in the ocean. © 2023 IEEE.

关键词： Drones

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Predictive control method for ballast leveling systems with multiple switchgear 3

Predictive control method for ballast leveling systems with ...

引用

3rd international conference on Mechanical, Electronics, and Electrical and Automation control, METMS 2023

作者： Zhizheng, Gao Siyuan, Wang Zhongli, Yao Dalian Maritime University College of Marine Electrical Engineering Dalian Maritime University Ship Electric BuildingNo. 1 Linghai Road Liaoning Province Dalian China

ISBN: (纸本)9781510666689

The tilt of the leveling ship in the leveling process has to meet the high precision process requirements while at the same time minimizing the actuator action frequency in the control process and extending the actuator life, which is very important for leveling processes with time delays and complex external disturbances. A group of advanced control strategies must be designed to match them. Firstly, a ballast leveling mechanism model is established based on the hydrostatic characteristics of the ship, followed by the design of a multi-switch device predictive control algorithm. By making the rolling time domain larger than the maximum time delay and ensuring that the switchgear combination is constant in the time domain, LESO is introduced for online prediction of unpredictable disturbances and rolling optimized predictive control of the equipment combination, the influence of time delay and external disturbances on the control system is weakened, and the switching frequency of switchgear is reduced. In the final simulation, the tilt tracking RMSE was reduced by 22.2% compared to conventional switching control, and the number of actuator switches was reduced by 6%. © 2023 SPIE. All rights reserved.

关键词： Time delay

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Research on Dynamic Performance and Operating Stability of Ceramic Ball Bearings for Space Use 3

Research on Dynamic Performance and Operating Stability of C...

引用

3rd international conference on Mechanical Design and Simulation, MDS 2023

作者： Zhao, Jiarui Zhou, Gang Zhang, Duzhou Zhou, Ningning Beijing Institute of Control Engineering Beijing China China Academy of Space Technology Beijing China

ISBN: (纸本)9781510664890

Operational stability is one of the mostcrucial characteristics of bearings in space actuators. Space bearings embrace unique dynamic properties due to their micro-oil lubrication and non-metallic cage. A dynamic simulation of three different B7005C bearing types, a typical aerospace bearing, was carried out in this paper. Steel ball bearings, hybrid ceramic ball bearings, and full ceramic ball bearings were the materials used to make such bearings. The findings demonstrate that, in comparison to steel bearings, the ceramic ball bearings operated stably under heavy radial loads, and that the use of ceramic balls and raceways will reduce the axial inner race deflection and its fluctuation. © 2023 SPIE.

关键词： Hybrid materials

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An Artificial Intelligence Based Attendance Monitoring System for Malpractice control 3rd

An Artificial Intelligence Based Attendance Monitoring Syste...

引用

3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Gadey, Nishanth Pande, Sagar Dhanraj School of Computer Science Engineering VIT-AP University Andhra Pradesh Amaravati India Pune India

ISBN: (纸本)9789819743582

In all organizations, attendance monitoring is essential for monitoring student performance, and checking whether every student is present or not is not easy. Each organization takes attendance manually like calling with their registration numbers or student names and noting it in attendance records given by the school/college principal as a proof of attendance. While some consider student signature. These are the methodologies which are old, complex, and time consuming for students and teachers. This study explores how AI simplifies attendance monitoring. Several methods of attendance tracking are discussed in this study, including face detection, which may be used to identify students continually and regularly. Numerous additional approaches are also mentioned. The approaches used for Facial Biometric Framework attendance are covered in this study. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Face recognition

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A Spatial Non-cooperative Target Point Cloud Characterization Method 3

A Spatial Non-cooperative Target Point Cloud Characterizatio...

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3rd international conference on Optics and Image Processing, ICOIP 2023

作者： Xu, Yunfei Wang, Ruilin Beijing Institute of Control Engineering Beijing100190 China

ISBN: (纸本)9781510667426

A spatial non-cooperative target point cloud feature extraction method based on deep learning is designed for the characteristics of weak geometric information of noncooperative targets. A convolutional neural network model is used to learn and fully exploit the non-cooperative target surface geometric information in a data-driven manner to obtain a local feature descriptor NCPD (Non-Cooperative target Point Describer), which solves the existing problem of insufficient descriptiveness of manual local geometric features. The matching test results in the non-cooperative target point cloud sequence show that the proposed local descriptor outperforms FPFH, SHOT, VoxelNet, PointNet and other methods in terms of descriptiveness and robustness. © 2023 SPIE. All rights reserved.

关键词： Neural network models

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Vehicle Density and Emergency Vehicle Detection for Smart Traffic control 3

Vehicle Density and Emergency Vehicle Detection for Smart Tr...

引用

3rd international conference on Technological Advancements in Computational Sciences, ICTACS 2023

作者： Vigneash, L. Samraj, S. Bhuvaneswari, S. Saravanan, T. Saritha, G. Arjun College of Technology Ece Coimbatore India Psvp Engineering College Chennai India New Prince Shri Bhavani College India Sri Sairam Institute of Technology Chennai India

ISBN: (纸本)9798350342338

The aim of this research paper is to propose a novel approach for managing vehicle density in urban areas through the detection of emergency *** suggested system employs sophisticated computer vision methodologies to analyse real-time traffic data and effectively detect emergency vehicles, hence facilitating streamlined traffic management and prioritised passage. The empirical findings provide evidence for the efficacy of the suggested approach in mitigating traffic congestion and enhancing emergency response durations. © 2023 IEEE.

关键词： Computer vision Emergency vehicle detection Real-time traffic analysis Smart traffic control Traffic congestion Urban traffic management Vehicle density

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A Leader-Follower control System Based on Dynamic Error with Nonlinear Model Predictive control 3rd

A Leader-Follower Control System Based on Dynamic Error with...

引用

3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Wang, Yaqi Xu, Xiaosu Zhou, Shuai Chi, Cheng School of Instrument Science and Engineering Southeast University Nanjing China The Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology Ministry of Education Nanjing China

ISBN: (纸本)9789819710980

This paper addresses the leader-follower control problem of differential wheeled mobile robots based on observations and proposes a following control system using a nonlinear model predictive control (NMPC) algorithm. Firstly, the follower estimates the state of the leader using an extended Kalman filter (EKF) and simultaneously estimates its own state using a localization module. Under a predefined virtual spatial structure, the state error and dynamic error equations are computed, followed by the establishment of the NMPC model. The error model considers not only position error but also heading error to reduce overshoot caused by the position error term. Additionally, penalty terms for velocity, angular rate, acceleration, and angular acceleration are included. The effectiveness of the algorithm is validated through simulation in Gazebo using a ROS-based development package. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Extended Kalman filters

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