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

共 47670 条记录，以下是231-240 订阅

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Fabrication of a Revolutionary Pick-and-Place Robot with Omnidirectional Mobility 3

Fabrication of a Revolutionary Pick-and-Place Robot with Omn...

引用

3rd international conference on Image Processing and robotics, ICIPRoB 2024

作者： Rahman, Md Hasibur Haque, Samiul Monir, Md Fayed Al Uddin, Mohammad Faisal Alam, Saadia Binte Independent University Bangladesh Department of Computer Science Engineering Dhaka Bangladesh Independent University of Bangladesh RIoT Research Center Dhaka Bangladesh

ISBN: (纸本)9798350374766

The paper outlines the creation of an innovative robot capable of omnidirectional movement, enhancing its ability to navigate confined industrial spaces. This robot, uniquely designed for picking and placing tasks, underwent a comprehensive development process, including planning, design, fabrication, and programming. It represents a notable advancement in the field of industrial robotics, with potential applications in environments where traditional robots may be less effective. The discussion also covers possible future improvements and broader applications of this technology. © 2024 IEEE.

关键词： Pulse width modulation

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AI-Driven Decision Support Systems for Project Management in Automobile engineering 1

AI-Driven Decision Support Systems for Project Management in...

引用

1st international conference on advances in Computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Vasudevan, M. Kumar, B. Senthil Deevi, Durga Praveen More, Amrita Baid Huddar, Vikrant Turdialiev, Mukhammad Ali School of Management Hindustan Institute of Technology & Science Tamil Nadu Chennai India Hindustan Institute of Technology & Science Department of School of Management Tamil Nadu Chennai India O2 Technologies Inc CA United States Medi-Caps University Department of Management Studies Madhya Pradesh Indore India Mumbai University Department of Management Studies India Tashkent state university of law Department of Private International Law Tashkent Uzbekistan

ISBN: (纸本)9798331518578

The integration of artificial intelligence in project management with revolutionize engineering processes like automobile. The present study explores the impact of artificial intelligence in decision support system to optimise the project workflow with improved decision making and prediction of potential bottlenecks in automotive engineering. The technology driven decision support system includes natural language processing predictive analytics and machine learning examined for product innovation time management and cost production. The study discusses about the challenges in adaptability of artificial intelligence data security and system integration in the complex environment. The real-world applications are analysed for highlighting the ai driven decision support system to enhance competitiveness and agility in automobile engineering for project management. The study emphasises the potentiality of artificial intelligence in redefining the conventional engineering practises for data driven and smarter decision making in automotive sector. © 2025 IEEE.

关键词： Project management

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Applications of Clustering in Cognitive Radio Networks 15

Applications of Clustering in Cognitive Radio Networks

引用

15th international conference on advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Joykutty, Anu Maria Baranidharan, B. Rajagiri School of Engineering & Technology Department of Computer Science & Engineering Kochi India SRM Institute of Science & Technology Department of Computing Technologies Chennai India

ISBN: (纸本)9798331300579

With the use of cognitive radio (CR) technology, wireless devices can utilize licensed spectrum when it is unused by the licensed users. CR was developed as a response to the wireless spectrum shortage issue caused by the static spectrum allocation. Using CR technology, the unlicensed users can opportunistically access the spectrum during the absence of usage by the licensed users. Clustering is a widely used technique in Cognitive Radio Networks (CRNs) to efficiently manage network resources, optimize spectrum utilization, and enhance overall network performance. This study focuses on the applications of clustering techniques in the area of CRNs like spectrum management, QoS Support, topology management, energy efficiency, routing etc. © Grenze Scientific Society, 2024.

关键词： Cognitive radio

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Object Detection in Airport Security Checks

Object Detection in Airport Security Checks

引用

2024 international conference on advances in Computing Research on science engineering and technology, ACROSET 2024

作者： Philip, Joshwa Joy Panda, Shreyas Meesala, Kushal Rao Garad, Jatin Bandhari, Ocean Rani, Ruchi Kumar, Sumit Dr. Vishwanath Karad Mit World Peace University Department of Computer Science and Technology Pune India Symbiosis Institute of Technology Pune Campus Symbiosis International [Deemed University Pune India

ISBN: (纸本)9798350388800

Airport security is a concern in modern travel infrastructure, with the need to identify prohibited items while ensuring passenger safety and minimizing difficulties. Object detection is essential in streamlining this process, assisting security persons in identifying potential threats accurately and efficiently. In this paper, an object detection model based on YOLOv7 is proposed for airport security screenings which uses deep neural network to analyze the images. YOLOv7 is the improved version of YOLO (You Look Only Once). It gives exceptionally good performance in terms of accuracy and speed for object detection in real time scenarios. After evaluating it on standard dataset shows that the proposed system achieves mAP of 82.3 % in accurately identifying forbidden items while lowering down the false warnings. © 2024 IEEE.

关键词： Airport security

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Design of Vehicle-based Driving Monitoring System Based on STM32 5

Design of Vehicle-based Driving Monitoring System Based on S...

引用

5th international conference on advances in Electrical engineering and Computer Applications, AEECA 2024

作者： Zhao, Meilian Xu, Yan Shandong Vocational College of Science and Technology Smart Manufacturing Department Weifang China

ISBN: (纸本)9798350355253

With the rapid development of science and technology, electrical engineering, as the core and key disciplines in the field of modern technology, is constantly promoting the innovation and progress of various industries. Its widespread application has profoundly changed human life and work model. In the field of transportation safety, the application of electrical engineering technology is particularly critical, especially for the solution to prevent drunk driving. This article designs a car-car alcohol-driving monitoring system based on STM32 microcontroller. This system integrates sensor technology, signal processing technology, microcontroller technology, and wireless communication technology (GSM) to achieve real-time real-time concentration of driver's alcohol concentration Detection and monitoring can effectively prevent the occurrence of alcohol-driving behavior. Through many actual on-site tests, the results show that the equipment has an effective prevention effect on drunk driving, providing active protection guarantee for traffic safety, and has certain practical value for preventing drunk driving. © 2024 IEEE.

关键词： Microcontrollers

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EV Charging Framework: Enhancing Urban Charging Infrastructure with SOC and Emergency Prioritization 4

EV Charging Framework: Enhancing Urban Charging Infrastructu...

引用

4th international conference on robotics, Electrical and Signal Processing Techniques, ICREST 2025

作者： Ecolo, Rubayat Khandoker, Md. Shahriar Hossain, Sabbir Niloy, Aninday Fahim, Istiaq Ahmed Aziz, Tareq Ahsanullah University of Science and Technology Department of Electrical and Electronic Engineering Dhaka Bangladesh Khulna University of Engineering & Technology Department of Electronics and Communication Engineering Khulna Bangladesh

ISBN: (纸本)9798331530938

Aiming at the current scenario, there is an upward trend in the market share of electric vehicles in the global transportation sector. For EV users, charging station scheduling is a must, as users' needs should be considered along with various factors that will initialize the priority for charging in a station. Based on the day-ahead scheduling strategy, a distributed charging scheme is proposed along with priority for emergency vehicles. While scheduling EVs, the State of Charge (SOC) and distance between stations in a typical urban area have been taken into consideration. Also, a well-planned shifting of EVs in between slots and to nearby charging stations is introduced here. Day-ahead user can easily book their slot as they prefer. However, in case of an emergency in real time a day-ahead user will be shifted to another free slot from that day. Also, the paper introduces a priority among emergency vehicles. Here the system is developed using exploratory data analysis (EDA), which is done by fundamental Python (Pandas library). © 2025 IEEE.

关键词： Charging stations

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Application and Research of Vision Inspection in the Position Self-compensation System of Industrial Robot

Application and Research of Vision Inspection in the Positio...

引用

international conference on Computer Vision, robotics, and Automation engineering, CRAE 2024

作者： Li, Yuan Lai, Pengbin Jiang, Peng Feng, Lulu He, Ruoshi School of Advanced Manufacturing Guangdong Songshan Polytechnic Shaoguan512126 China College of Automation Science and Engineering South China University of Technology Guangzhou510640 China Ministry of Science and Technology Guangdong Songshan Polytechnic Shaoguan512126 China School of Artificial Intelligence and Electrical Engineering Guangzhou College of Applied Science and Technology Guangzhou511370 China

ISBN: (纸本)9781510682283

Automatic production is closely linked with industrial robots. However, the precision of robot positioning significantly impacts the stability of the automation system. To address this issue, we establish an industrial automation system comprising an industrial camera, visual processing software, controller, and industrial robot to enable robot self-compensation. The system's visual detection module, comprising visual processing software and an industrial camera, detects offsets and compensates for errors in the industrial robot. This facilitates self-inspection and self-correction of robot grasping errors, enhancing the operational stability of the automatic production *** experimental results show that this method has strong practicability. Compared with the system without self-compensation, the steady-state error is reduced by 0.01 mm in 1000 times of repeated grabbing, which improves the stability of automatic production and has high popularization and application value. © 2024 SPIE.

关键词： Industrial robots

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Adaptive Soft Pneumatic Robot Inspired by Locomotion of Snake

Adaptive Soft Pneumatic Robot Inspired by Locomotion of Snak...

引用

2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Lu, Jinxuan Hu, Xinshu Zhu, Xiaoyu Chen, Cheng Wang, Hongqiang Southern University of Science and Technology Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems Shenzhen China Southern University of Science and Technology Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineering and Guangdong Provincial Key Laboratory of Human Augmentation and Rehabilitation Robotics in Universities Shenzhen China Guangzhou China

ISBN: (纸本)9781665481090

Pneumatic soft robots have garnered widespread attention for their flexibility and adaptability in various applications. However, existing soft robots generally struggle to effectively navigate diverse terrains, especially when it comes to climbing obstacles. This paper introduces an adaptive pneumatic soft robot designed based on snake-like locomotion, which effectively addresses this issue. The robot utilizes four corrugated tubes as its soft actuators, complemented by silicone-made feet with bidirectional friction anisotropy, enabling it to adapt to various terrains and exhibit climbing capabilities. Experiments demonstrate that the robot can traverse different surfaces such as sand, gravel, and slopes, and can climb obstacles up to 20 centimeters high. Additionally, it features a self-regulation mechanism that allows it to recover from accidental overturns. This study presents a soft robot design with multi-terrain adaptability and self-recovery capabilities. © 2024 IEEE.

关键词： Pneumatics

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Disturbance Observer-Based Robust Control for Redundant Manipulators Towards Conditional Monitoring

Disturbance Observer-Based Robust Control for Redundant Mani...

引用

international conference on Biomimetic Intelligence and robotics & Medical robotics Forum, ICBIR+MRF 2024

作者： Ma, Tie-Nan Xi, Rui-Dong Liang, Wei-Xiang Yang, Zhi-Xin Department of Electromechanical Engineering Faculty of Science and Technology University of Macau Taipa999078 China Shenzhen Key Laboratory of Robotics Perception and Intelligence The Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen518055 China

Conditional monitoring is crucial for preserving the functionality and longevity of electro-mechanical equipment. The adoption of robots is an effective method for improving the traditional approaches that rely on fixed monitoring sites. Therefore, this work investigates the motion control of a redundant robot manipulator in operational space for the application of conditional monitoring. A simple and efficient kinematic tracking differentiator (KTD) is proposed to convert operational space trajectories into joint space tracking. Redundancy is handled using a null space vector with time delay method. Additionally, a fixed-time terminal sliding mode controller (FxTSMC) is designed with a disturbance observer to improve fast convergence and disturbance rejection ability. Simulation results have been demonstrated to show the effectiveness of the proposed control scheme. © 2024 The Authors.

关键词： Disturbance rejection

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Masking of Colposcopy Images- A New Approach

Masking of Colposcopy Images- A New Approach

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

作者： Chatterjee, Priyadarshini Das, Surajit Siddiqui, Shadab B V Raju Institute Of Technology Department Of Computer Science And Engineering Medak Telengana Narsapur India B V Raju Institute Of Technology Department Of Artificial Intelligence And Data Science Medak Telengana Narsapur India Koneru Lakshmaiah Education Foundation Department Of Computer Science And Engineering Hyderabad India

ISBN: (纸本)9798350371567

Masking, in the context of image processing and computer vision, refers to the process of isolating specific regions or objects of interest within an image while suppressing or removing irrelevant information. It involves the creation of a mask, which is essentially a binary image that defines which pixels in the original image belong to the region of interest and which do not. The mask typically consists of black and white pixels, where white pixels represent the areas to be preserved or highlighted, and black pixels represent the areas to be ignored or masked out. This paper presents a novel approach aimed at enhancing the accuracy of masking algorithms for colposcopy images, a crucial component in the diagnosis of cervical cancer among women. While previous research has demonstrated promising outcomes in this domain, our study introduces a novel masking algorithm tailored specifically to improve segmentation accuracy. The colposcopy dataset utilized in this research is sourced from the international Agency for Research on Cancer in France. © 2024 IEEE.

关键词： Diseases

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