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检索条件"任意字段=International Conference on Computer and Automation Engineering"

共 58294 条记录，以下是81-90 订阅

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Adaptive Pure Pursuit with Deviation Model Regulation for Trajectory Tracking in Small-Scale Racecars

Adaptive Pure Pursuit with Deviation Model Regulation for Tr...

引用

2025 international conference on Control, automation, and Instrumentation, IC2AI 2025

作者： Al Fata, Ralph Daher, Naseem American University of Beirut Department of Electrical and Computer Engineering Beirut Lebanon American University of Beirut Department of Electrical and Computer Engineering Department of Mechanical Engineering Beirut Lebanon

ISBN: (纸本)9798331529604

Designing motion controllers for autonomous racecars allows researchers to study the safety and computational efficiency of their algorithms under extreme conditions, while also serving as a benchmark for conventional autonomous driving technologies. Small-scale autonomous racecars compel developers to use feeble processors or microcontrollers that are incapable of executing computationally-expensive control algorithms, like Model Predictive Control (MPC), in real time. On the other hand, geometric controllers are derived from kinematic models, where the steering angle is computed based on simple trigonometric equations, which significantly simplifies their implementation. While geometric controllers achieve acceptable tracking performance at low-to-medium velocities, their accuracy decreases as the vehicle velocity increases, which is due to ignored dynamics, large tire slip, and unmodeled nonlinearities that dominate at high speeds. In this work, we propose an adaptive pure pursuit controller that calculates a variable look-ahead distance based on curvature in a feedforward fashion, complemented by a regulated deviation (error-based) model in the feedback loop, which generates a corrective steering angle that accounts for nonlinearities at higher speeds. A comparative simulation study is presented to demonstrate the superiority of the proposed controller over the traditional pure pursuit controller, which is evidenced by 85.69% improvement in lateral position tracking, 19.75% improvement in yaw angle tracking, and 8% improvement in lap time. © 2025 IEEE.

关键词： Steering

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25th international conference on Internet Computing and IoT, ICOMP 2024, and 22nd international conference on Embedded Systems, Cyber-physical Systems, and Applications, ESCS 2024, held as part of the World Congress in computer Science, computer engineering and Applied Computing, CSCE 2024

25th International Conference on Internet Computing and IoT,...

引用

25th international conference on Internet Computing and IoT, ICOMP 2024, and 22nd international conference on Embedded Systems, Cyber-physical Systems, and Applications, ESCS 2024, held as part of the World Congress in computer Science, computer engineering and Applied Computing, CSCE 2024

ISBN: (纸本)9783031859229

The proceedings contain 33 papers. The special focus in this conference is on Internet Computing and IoT. The topics include: Malware Detection in the IoT Home Network;IoT-Based Analysis of Environmental and Motion Data for Comfort and Energy Conservation in Optimizing HVAC Systems;improving Critical Controls Using IoT and computer Vision;A Data-Driven Driving Under the Influence (DUI) Detection, Notification and Prevention System Using Artificial Intelligence and Internet-Of-Things (IoT);understanding User Interactions with IoT Process Models: A Demographic Perspective;Advancing IoT Process Modeling: A Comparative Evaluation of BPMNE4IoT and Traditional BPMN on User-Friendliness, Effectiveness, and Workload;Threat Detection Using MLP for IoT Network;harnessing Social Robotics and the Internet of Things to Reduce the Risk of Older Adults Developing Hypothermia and Dehydration;re/Imagining Smart Home automation Framework in the Era of 6G-Enabled Smart Cities;smart Roadway Monitoring: Pothole Detection and Mapping via Google Street View;Energy-Efficiency Modeling for AI Applications on Edge Computing;optimizing Wireless Sensor Network Node Placement Using Bacterial Foraging Optimization;The Vital Role of Small and Marginal Farmer in Future of Our Climate: Democratization of Machine Learning, Artificial Intelligence, and Dairy Cow Necklace Sensors in Achieving the UN Climate Change Goals (COP21) and the Paris Agreement;autonomous Driving Prototype with Raspberry Pi by Using Image Processing Technology;towards Implementation of Privacy-Preserving Federated Learning Aggregation Using Multi-key Homomorphic Encryption;advancing Nursing Education Through Virtual Reality Training: A Revolutionary Approach to Ensuring Patient Safety;multiDrone Simulator An Open Source Multi-plataform Tool to Use in Tests of Optimized Flight of Group of Drones;Revolutionizing Multiplayer Gaming: A Deep Dive into VisionXO, a 3D Multiplayer Tic-Tac-Toe Game.

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Development of robotic arm for fruits and vegetables sorting

Development of robotic arm for fruits and vegetables sorting

引用

2025 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Likithkumar, C. Thrisha, K. Anbarasi, S. Navarasu, S. Srm Institute of Science and Technology Electronics and Instrumentation Engineering Faculty Chennai India Srm Institute of Science and Technology Electronics and Instrumentation Engineering Student Chennai India

ISBN: (纸本)9798331529833

Among various automation approaches, the pick and-place robotic arm stands out due to its versatility and potential for wide application in sorting, picking, and placing tasks. The robotic arm is equipped with advanced computer vision capabilities for automated agricultural tasks. The system incorporates object detection algorithms using THONY software to accurately identify and localize fruits or vegetables within the arm's workspace. The integration of object detection and classification enhances the system's versatility and adaptability, making it suitable for agricultural applications which includes sorting. By automating repetitive tasks and utilizing real-time object detection, the robotic arm enhances operational efficiency, reduces labor requirements, and improves precision in handling and sorting. © 2025 IEEE.

关键词： Fruits

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A lightweight image segmentation algorithm based on mobilenetv3 and global context block attention mechanism 4

A lightweight image segmentation algorithm based on mobilene...

引用

4th international conference on computer Vision, Application, and Algorithm, CVAA 2024

作者： Qian, Songcheng Li, Jiajun Yao, Xiaozhou College of Energy Chengdu University of Technology Chengdu610059 China School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China Institute of Communication UniversitéLumière Lyon-2 Bron Lyon69500 France

ISBN: (数字)9781510687622

ISBN: (纸本)9781510687615

Image segmentation is a crucial task in computer vision that involves dividing an image into distinct regions, with each region containing pixels that share similar attributes. Traditional methods like Otsu, Sobel, and Canny often suffer from high computational complexity and sensitivity to parameters. To address these limitations, this paper proposes a lightweight image segmentation algorithm that integrates MobileNetv3-Small with a global context block attention mechanism. MobileNetv3 leverages depthwise separable convolutions and optimized architecture to significantly reduce computational load and parameter count. To further improve segmentation accuracy, a deformable convolutional network is employed during feature extraction, while the global context block attention mechanism enhances focus on target regions. The proposed algorithm not only improves segmentation performance but also offers a lightweight solution suitable for resource-constrained environments. © 2025 SPIE.

关键词： Convolutional neural networks

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Exploring the Potential of Serverless Architecture for Cloud automation 3

Exploring the Potential of Serverless Architecture for Cloud...

引用

3rd IEEE international conference on automation and Computation, AUTOCOM 2025

作者： Refonaa Yadav, Dhananjay Kumar Sood, Gourav Sonbhadra, Sanjay Kumar Sampangi Rama Reddy, B.R. Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Karnataka Bangalore India

ISBN: (纸本)9798331542375

Server less architecture has become increasingly used in cloud computers since it is highly scalable and affordable and allows for the rapid deployment of services. However, no one has abused server less architecture yet, especially from a cloud operations and management perspective. This paper will explore the benefits of cloud automation using server less architecture. Cloud automation: techniques that replace manual, repetitive activities in the cloud, such as provisioning resources, configuring applications, and monitoring performance. Server less architecture allows organizations to automate more processes and become more operationally efficient. The server less architecture frees developers from the responsibility of maintaining and managing servers. This directly reduces the overhead on IT teams. It allows them to spend time on more important things like creating and deploying applications. Moreover, server less architecture automatically scales resources based on demand, facilitating optimal utilization and cost-effectiveness. In addition, cloud automation using server less architecture allows you to combine different tools and services, one example being event-driven services that play nicely with databases or third-party services. This, in turn, enables a more holistic and cohesive solution for cloud operations automation. © 2025 IEEE.

关键词： computer aided engineering

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Creating an Adaptive Robot for Personalized Health Monitoring and Assistances

Creating an Adaptive Robot for Personalized Health Monitorin...

引用

2025 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Ponnuru, Sudhakiran Sai Pranathi, T. Nayak, Gnanesh H Pandi, Maruthu Rishitha Ambati, Sai Kode, Siddeshwar S New Horizon College of Engineering Department of Electronics & Communication Engineering Bangalore India New Horizon College of Engineering Department of Computer Science Engineering Bangalore India

ISBN: (纸本)9798331529833

Medical robots are a groundbreaking advancement in healthcare, utilizing robotics and automation to improve precision, efficiency, and accessibility in medical procedures. They are utilized in various applications, including minimally invasive surgeries, rehabilitation, diagnostics, and patient care. Surgical robots, such as the da Vinci Surgical System, are notable examples because they allow physicians to do intricate procedures with greater dexterity and a lower chance of human error. Rehabilitation robots support patient mobility recovery by customizing therapy to meet individual needs and progress. Diagnostic robots utilize imaging technologies to assist in early disease detection and accurate diagnostics, often incorporating artificial intelligence (AI) for image analysis and pattern recognition. The emergence of autonomous and semi-autonomous robots in medical environments promises to alleviate the workload of healthcare professionals, streamline processes, and enhance response times in critical care scenarios. However, the integration of robotics into healthcare also poses challenges, such as ethical dilemmas, regulatory obstacles, and concerns regarding data privacy and patient safety. The future of medical robotics will rely on overcoming these issues while promoting innovation. © 2025 IEEE.

关键词： Medical robotics

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Brake Smart: Harnessing IoT and Ultrasonic Technology for Collision-Free Driving

Brake Smart: Harnessing IoT and Ultrasonic Technology for Co...

引用

2025 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Lakshmi Koustubha, Dhavala Naga Shri, Bhavani S. Upender, Patri Vellore Institute of Technology Chennai School of Electronics Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331529833

This project aims to develop an advanced Automatic Braking System (ABS), called 'BrakeSmart', which leverages ultrasonic sensor technology to enhance road safety and prevent collisions. The system automatically applies the brakes to maintain a safe distance from the vehicle ahead. By continuously monitoring the distance using ultrasonic sensors, BrakeSmart engages the brakes when the distance falls below a predetermined threshold. This automation mitigates the limitations of human reaction time, significantly reducing the risk of collisions and promoting safer driving. Overall, this innovative technology marks a significant advancement in driver assistance systems, focusing on accident prevention and minimizing human error. © 2025 IEEE.

关键词： Human reaction time

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Balancing Environmental Sustainability and Technological Innovation in 6G Wireless Technology 1

Balancing Environmental Sustainability and Technological Inn...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Prathima Mabel, J. Vani, K.A. Ambika, P.R. Bhat, Archana Chikkaraddi, Laxmi M Vishwakarma, Pramatma Dayananda Sagar College of Engineering Department of Information Science and Engineering Bangalore560078 India City Engineering College Visvesvaraya Technological University Department of Computer Science and Engineering Bangalore India Lovely Professional University Department of Computer Aplication Punjab 144411 India

ISBN: (纸本)9798331518578

Unprecedented improvements in connectivity, speed, and latency are anticipated with the emergence of 6G wireless technology, opening the door for game-changing applications like AI-driven automation, smart cities, and holographic communications. Nevertheless, there are serious environmental consequences associated with these breakthroughs, such as resource destruction, elevated energy use, and electrical waste. It takes a comprehensive strategy that incorporates energy-efficient hardware, sustainable software, and green design concepts to strike a balance between technological innovation and environmental sustainability in 6G. Low-power network topologies, energy-harvesting technology, and the use of renewable energy sources are examples of emerging tactics. Furthermore, reducing the environmental impact of 6G architecture requires the adoption of circular economy principles like recycling devices and using eco-friendly materials. To ensure sustainable development, industry rules, policy structures, and cross-sector partnerships will be essential. In order to provide understanding of design considerations, problems, and future perspectives for a greener wireless future, this study examines the combined quest of technological excellence and environmental responsibility in 6G. © 2025 IEEE.

关键词： Green development

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Lightweight insulator defect detection algorithm based on improved Deeplabv3+ and YOLOv5s

Lightweight insulator defect detection algorithm based on im...

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2024 international conference on computer Vision and Image Processing, CVIP 2024

作者： Hu, Hongwei Peng, Wenxuan Yang, Jinghan Di, Xinyu College of Artificial Intelligence and Automation Hohai University Nanjing China College of Electrical and Power Engineering Hohai University Nanjing China

ISBN: (纸本)9781510688384

Intelligent recognition of insulator infrared image defects based on UAV inspection has important research value in transmission line inspection. This paper proposes a lightweight deep neural network that combines image semantic segmentation and object detection in response to the existence of limited equipment computational resources in practical application scenarios. Specifically, the module CA-DS-ASPP is proposed to improve DeepLabv3+ model which is trained based on ADAM optimizer to reduce the number of parameters and computational complexity and improve the segmentation accuracy. And an improved insulator defect detection model, named YOLOv5s-gv, is proposed based on lightweight VanillaNet and GhostConv to reduce the number of parameters and the amount of computation. Experimental results show that the lightweight insulator defect detection algorithm proposed in this paper largely improves the detection speed while maintaining the detection accuracy. © 2025 SPIE.

关键词： Semantic Segmentation

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UAV Intrusion Detection in Hazy Environment Based on Improved YOLOv8 5

UAV Intrusion Detection in Hazy Environment Based on Improve...

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5th IEEE international conference on Power, Electronics and computer Applications, ICPECA 2025

作者： Wang, Kejie Wang, Xingdi Chen, Fuyang College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9798331533694

In this paper, a small-target UAV intrusion detection algorithm based on improved YOLOv8 in hazy environment is investigated. Aiming at the problem that the traditional YOLOv8 algorithm cannot extract the UAV features in the image under the hazy environment, an improved method based on All-in-One Dehazing Network (AOD-Net) is proposed to give the algorithm a good dehazing ability. The introduction of Deformable Convolutional Networks (DCN) and Deformable Attention (DAT) optimizes the algorithm's ability to capture the local deformation information of the target under the conditions of long distance and high mobility. The algorithm's sensitivity to image core feature extraction is improved, and the efficiency and performance of target detection are enhanced. © 2025 IEEE.

关键词： Target tracking

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