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检索条件"任意字段=International Conference on Advances in Science, Engineering and Robotics Technology"

共 47828 条记录，以下是861-870 订阅

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Attention in Focus: Transformer-Powered Super-Resolution for Advanced Remote Sensing

Attention in Focus: Transformer-Powered Super-Resolution for...

引用

2024 IEEE international conference on Control science and Systems engineering, ICCSSE 2024

作者： Yan, Xinyu Xu, Qizhi Chen, Jiuchen School of Mechatronical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9798331517199

Transformer-based approaches have demonstrated outstanding performance in natural language processing and computer vision tasks due to their ability to manage long-range dependencies. However, when applied to super-resolution of remote sensing images, transformer-based methods often produce overly smooth results that lack necessary textural details. To overcome this challenge, we developed the Multi-Attention Residual Transformer (MART). MART utilizes a Multi-Scale Attention Module to integrate information at different scales, effectively restoring the complex details in remote sensing images. With its hybrid attention mechanism, MART captures both local and global features efficiently. Comprehensive evaluations on various remote sensing datasets reveal that MART significantly enhances image quality. Compared to widely used advanced methods, MART excels in both qualitative and quantitative metrics, effectively restoring a wide range of landmark features. © 2024 IEEE.

关键词： Image enhancement

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Comparative Study on Breakdown Voltage Phenomenon in Air Insulated System with and Without Spacers

Comparative Study on Breakdown Voltage Phenomenon in Air Ins...

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2024 international conference on advances in Modern Age Technologies for Health and engineering science, AMATHE 2024

作者： Jouhar, C. Kamath, B.Rajesh Sri Siddhartha Academy Of Higher Education Karnataka Tumkur India Sri Siddhartha Institute Of Technology Karnataka Tumkur India

ISBN: (纸本)9798350371567

In electrical power systems, high-voltage power equipment is particularly susceptible to breakdown voltage, which can be caused by various factors including lightning strokes. Understanding the breakdown voltage of different insulation materials is crucial for determining the necessary clearance for ensuring adequate insulation levels and preventing equipment failure. To address this issue in HV power equipment, the plane-plane, sphere-plane and rod-plane gap methods are commonly employed as standard testing methods. These methods offer a balance between simplicity and acceptable accuracy. The aim of this work is to investigate the effect of breakdown voltage on solid insulation materials such as Polymethyl methacrylate (PMMA) and nylon. © 2024 IEEE.

关键词： Polymethyl methacrylates

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CNN Based Model for Underwater Image Classification and Enhancement

CNN Based Model for Underwater Image Classification and Enha...

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2024 international conference on advances in Modern Age Technologies for Health and engineering science, AMATHE 2024

作者： Jamandlamudi, Sahit Isravel, Deva Priya Dhas, Julia Punitha Malar Karunya Institute Of Technology And Sciences Division Of Data Science And Cyber Security Coimbatore India Karunya Institute Of Technology And Sciences Division Of Computer Science And Engineering Coimbatore India

ISBN: (纸本)9798350371567

The challenge of enhancing underwater images is difficult because of several issues, including color distortion, inadequate illumination, and dispersion from suspended particles in the water. Conventional picture enhancing methods frequently find it difficult to resolve these problems. Thanks to its ability to learn intricate representations and pick up on minute features, deep learning has become a potent tool for picture improvement tasks in recent years. In this work, we suggest a novel deep learning-based method for improving underwater images. To automatically learn and improve the visual quality of underwater scenes, we use a convolutional neural network architecture that is specifically made to handle underwater photos. A sizable dataset of underwater photos is used to train the network, with an emphasis on contrast improvement and color correction. We compare our method with many state-of-the-art techniques and undertake extensive tests on a benchmark dataset to evaluate our approach. The outcomes show that our strategy performs much better than current approaches both in terms of subjective visual quality and objective criteria. Our technique improves visibility, minimizes noise, and successfully restores colors in underwater photos. By presenting a deep learning-based method that enhances the visual quality of underwater photographs, this work advances the field of underwater image processing and aids in marine research, underwater exploration, and surveillance. © 2024 IEEE.

关键词： Convolutional neural networks

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5G-Enabled Remote Healthcare Monitoring for Improved Patient Care

5G-Enabled Remote Healthcare Monitoring for Improved Patient...

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2024 IEEE international conference on Recent advances in science and engineering technology, ICRASET 2024

作者： Vimal, V.R. Jayalakshmi, D. Narayanan, Lakshmi Kanthan Hemavathi, R. Loganayagi, S. Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Computer Science and Engineering Thandalam Chennai India Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Simats Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350388602

The implementation of 5G technology boosts the possibility of the remote monitoring in healthcare to the above and beyond while providing new capabilities like data transmission speed, connectivity, and reliability. The contribution of this study aims to cover the application of 5 G network in healthcare monitoring systems in order to improve patient care, whereby, it considers integration of devices, real time data processing, AI and machine learning, security, scalability and telemedicine. Our approach covers setting up an advanced focus network propose, adopting IoT based health protocols devices, employing edge process, combining with AI purpose of predictive model, and consuming advanced security protocols. Stepping stone trial proved that patient response time, alert accuracy, user satisfaction, as well as data processing performance is greatly enhanced. Implementation AI/ML features increased predictive accuracy and improving capability to detect anomalies thus improving the overall robotic control systems. These results display imposing enhancement in effectiveness, steadiness, and scalability of a system. At the same time, we present this system with the highest level of data security and privacy. Integrative orientation pinpoints 5G-emboldened remote health-care monitoring as one of the major ways to deliver effective and streamlined patient care. © 2024 IEEE.

关键词： 5G mobile communication systems

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RiskMap: A Unified Driving Context Representation for Autonomous Motion Planning in Urban Driving Environment

RiskMap: A Unified Driving Context Representation for Autono...

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2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Xin, Ren Wang, Sheng Chen, Yingbing Cheng, Jie Liu, Ming Ma, Jun The Hong Kong University of Science and Technology Division of Emerging Interdisciplinary Areas Hong Kong Hong Kong Robotics and Autonomous Systems Thrust Guangzhou511453 China The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665481090

Motion planning is a complicated task that requires the combination of perception, map information integration and prediction, particularly when driving in heavy traffic. Developing an extensible and efficient representation that visualizes sensor noise and provides basis to real-time planning tasks is desirable. We aim to develop an interpretable map representation, which offers prior of driving cost in planning tasks. In this way, we can simplify the planning process for dealing with complex driving scenarios and visualize sensor noise. Specifically, we propose a unified context representation empowered by deep neural networks. The unified representation is a differentiable risk field, which is an analytical representation of statistical cognition regarding traffic participants for downstream planning tasks. This representation method is nominated as RiskMap. A sampling-based planner is adopted to train and compare RiskMap generation methods. In this paper, the RiskMap generation tools and model structures are explored, the results illustrate that our method can improve driving safety and smoothness, and the limitation of our method is also discussed. © 2024 IEEE.

关键词： Motion planning

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Synthesis of Decoherence-Free Modes in Linear Quantum Passive Systems via Robust Pole Placement

Synthesis of Decoherence-Free Modes in Linear Quantum Passiv...

引用

2024 IEEE international conference on Systems, Man, and Cybernetics, SMC 2024

作者： Miao, Zibo Pan, Yu Gao, Qing School of Mechanical Engineering and Automation Adaptive Robotics Harbin Institute of Technology Guangdong Key Laboratory of Intelligent Morphing Mechanisms Shenzhen518055 China The Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China The School of Automation Science and Electrical Engineering Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing100191 China

ISBN: (纸本)9781665410205

In this paper we extend our previous research on coherent observer-based pole placement approach to study the synthesis of robust decoherence-free (DF) modes for linear quantum passive systems, which is aimed at preservation of quantum information. In particular, DF modes can be generated by placing the poles on the imaginary axis via a coherent feedback design scheme, and these modes can further be simultaneously made robust against perturbations to the system parameters by minimizing the condition number associated with imaginary poles. We develop explicit algebraic conditions for the existence of such a coherent quantum controller, with the corresponding deign procedure provided. Examples are given to illustrate the process of tuning the DF modes towards perfect robustness via the proposed pole placement technique. © 2024 IEEE.

关键词： Poles

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Switched Sliding Mode Control for Networked T-S Fuzzy Delayed Systems: A Membership Function-Dependent Event-Triggered Mechanism

Switched Sliding Mode Control for Networked T-S Fuzzy Delaye...

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2024 IEEE international conference on Control science and Systems engineering, ICCSSE 2024

作者： Liu, Hao Hu, Jun Zhang, Hongxu Zuo, Zhiyuan Harbin University of Science and Technology Department of Applied Mathematics Harbin150080 China School of Automation Harbin University of Science and Technology Harbin150080 China

ISBN: (纸本)9798331517199

This paper investigates the switched sliding mode control (SMC) problem for networked T-S fuzzy delayed systems with limited communication capability, where the event-triggered mechanism is adopted to schedule the information transmission. Using the fuzzy model and controller membership function information, a membership function-dependent dynamic event-triggered mechanism (DETM) is constructed with hope to enhance effective data utilization. Furthermore, a novel switched fuzzy sliding mode controller is designed. Then, by combining with the membership function analysis method, sufficient conditions are provided to guarantee that the closed-loop fuzzy system is asymptotically stable with a prescribed H∞ performance and the sliding surface is reachable. Finally, a simulation example is employed to demonstrate the rationality of proposed switched SMC strategy. © 2024 IEEE.

关键词： Sliding mode control

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Centralized Curiosity Model-Based Synchronization Control for robotics Teleoperator under Input Saturation and Time Delay 5

Centralized Curiosity Model-Based Synchronization Control fo...

引用

5th international conference on Control, robotics, and Intelligent System, CCRIS 2024

作者： Wang, Fujie Wang, Tu Luo, Junxuan Li, Xing Guo, Fang Qin, Yi Dongguan University of Technology Dongguan523000 China

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

This paper investigates the state synchronization control problem of a teleoperation system for actuators based on deep reinforcement learning, taking into account input saturation, uncertainties, and stochastic delays in the actuators. A centralized curiosity model multi-agent reinforcement learning algorithm framework is proposed for the teleoperation system composed of a local robotic manipulator and a remote robotic manipulator. Specifically, a centralized world model and a centralized curiosity network are utilized to train the actor network. Subsequently, the robotic manipulator is controlled using traditional controller tuning *** learn the nonlinear communication delay perturbations in the system, a Long Short-Term Memory network is applied to learn new features. Based on these features, the state structure of the partially observable Markov model is reconstructed. In simulation experiments compared with traditional controllers and baseline reinforcement learning algorithms, the proposed method demonstrates competitive control performance. © 2024 SPIE.

关键词： Reinforcement learning

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Design and Development of Smart Farming using ML and IoT in India

Design and Development of Smart Farming using ML and IoT in ...

引用

2023 international conference on Recent advances in science and engineering technology, ICRASET 2023

作者： Chatterjee, Alakananda Viswanathan, Harini Giridharan, Varsha Akila, Akila Srm Institute of Science and Technology Computer Science Engineering Department Tamil Nadu India

ISBN: (纸本)9798350306927

IoT is used to find massive amounts of data whereas ML easily identifies trends and patterns and gives more insights into the data that we want for farming. Focuses on improving the productivity of farming in many aspects by building a recommendation model trained by supervised and unsupervised model ML algorithms for smart greenhouse agricultural systems and optimizes work done by farmers as it involves no human intervention. REES52 IoT kit will be used for overall implementation. The proposed model employs logistic regression and a k-means algorithm to predict the kind of crop that will grow followed by deploying a flask module that will help display the results user-friendly through a web application. © 2023 IEEE.

关键词： Internet of things

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Research and design of butterfly valve controller applied to museum gas pipeline network 3

Research and design of butterfly valve controller applied to...

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3rd international conference on Control and Intelligent robotics, ICCIR 2023

作者： Zhang, Yang Cui, Zhaohua Li, Yan School of Instrument Science and Opto-electronics Engineering Hefei University of Technology Anhui Hefei China

ISBN: (纸本)9781510671867

To solve the problem of uneven flow distribution of constant humidity gas in the gas pipeline network, this paper uses FLUENT to simulate the flow field and pressure of the butterfly valve and concludes that the butterfly valve can be used to regulate the flow distribution. Based on the above conclusions, the authors designed a butterfly valve controller, which can drive the butterfly valve to open and close through the driver chip to regulate the flow in the pipeline network. Finally, through experimental verification, it is shown that the butterfly valve controller can adjust the flow resistance coefficient of each branch by controlling the opening and closing degree of the butterfly valve, and the most suitable adjustment range of the opening and closing degree of the butterfly valve is 20°-40°. © 2023 SPIE.

关键词： Controllers

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