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

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End-to-End Scene Text Detection and Recognition Based on Feature Interaction 6

End-to-End Scene Text Detection and Recognition Based on Fea...

引用

6th international conference on robotics and Computer Vision, ICRCV 2024

作者： Luo, Die Yu, Qiuhui He, Chengwan Chen, Wei School of Computer Science and Engineering School of Artificial Intelligence Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798331527426

The present scene text extraction methods generally include two independent steps of text detection and text recognition, which is not beneficial to the interaction of feature information and may result in the accumulation of errors. Aiming at the above problems, an algorithm is proposed to achieve end-to-end text extraction by interacting information between text detection and recognition. In the process of extracting scene text, Swin-Transformer and CE-FPN are adopted as the base network to extract abundant feature representations at various scales which reduce the impact of information loss on text detection and recognition;Using Recognition Conversion to guide text localization by recognition loss enables feature interaction of detection and recognition;CTC is utilized in recognition to achieve the constraint of Attention decoding, which guarantees the full extraction of long text character information. Experimental results on several datasets show that the method in this paper demonstrates better performance compared to the existing typical models. © 2024 IEEE.

关键词： Text mining

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A Novel Approach for Solving Time-Varying Linear Equations and Its Application in Motion Tracking of Redundant Robots

A Novel Approach for Solving Time-Varying Linear Equations a...

引用

2023 international conference on Frontiers of robotics and Software engineering, FRSE 2023

作者： Yin, Hong Jin, Hongzhe Zhao, Jie Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9798350301113

Solving time-varying linear equations is a common problem in many fields. In this article, a novel approach is proposed based on the cost function constructed by the mixed error, which is made up of the residual error and its integration. The merits of the novel approach include high accuracy, noise immunity, and asymptotic convergence. Since the derivative information of time-varying signals is used in the proposed method, a proportional-integral differentiator is designed based on the mixed estimation error for the first derivative estimation. The proposed differentiator has a high degree of precision, asymptotic convergence, and no chattering. In addition, theoretical analyses prove the convergence of the proposed optimal strategy and differentiator. Simulation results validate the effectiveness and superiority of the proposed strategy and the designed differentiator. Finally, the proposed approach is employed in the motion tracking of redundant robots. © 2023 IEEE.

关键词： Errors

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Certain Investigation of Machine Learning Algorithms in Prediction of Drinking Water Quality 1

Certain Investigation of Machine Learning Algorithms in Pred...

引用

1st IEEE international conference on Cognitive robotics and Intelligent Systems, ICC - ROBINS 2024

作者： Vishnu Priya, V. Venkatesan, B. Megashri, N. Selvapriya, M. Kongu Engineering College Department of Computer Science and Engineering Perundurai Erode India Kongu Engineering College Department of Electronics and Instrumentation Engineering Perundurai Erode India Kongu Engineering College Department of Computer Technology-UG Perundurai Erode India

ISBN: (数字)9798350372748

ISBN: (纸本)9798350372748

Water is essential for all living organisms, which covers almost seventy percent of the surface of Earth. Nowadays water is polluted mainly due to human intervention activities such as industrial waste disposal, agricultural runoff, urban development, and improper sewage management significantly contribute to the degradation of water quality and the disruption of aquatic ecosystems. Implementing a Reverse Osmosis (RO) mechanism in institutions is essential for reducing pollution, particularly from hazardous gases. This study provides a classification model to predict water quality utilizing learning algorithms like Bagging, AdaBoost, Decision Tree, and K-Nearest Neighbor (KNN). The dataset contains potability, sulfate, chloramines, conductivity, solids, organic carbon, trihalomethane, turbidity, hardness, and pH values. By comparing all the algorithms, the proposed methodology obtained a better prediction with the help of the randomized searchCV optimization technique. All these algorithms have been considered highly accurate with an accuracy of 67%, 66%, 67.9%, and 66% respectively. It aims to forecast the quality of water to ensure a sustainable future. © 2024 IEEE.

关键词： Decision trees

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Dynamic Trust Management and AI-Based Multi-Factor Authentication for 6G Machine Type Communications 1

Dynamic Trust Management and AI-Based Multi-Factor Authentic...

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

作者： Sinha, Garima Agarwal, Ankita Faculty of Engineering and Technology Department of Computer Science Engineering Ramnagar District Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331518578

New security concerns about the transmission of sensitive data over enormous networks of linked devices have arisen with the advent of the 6G era and the broad adoption of massive machine-type communication (MTC). The authors of this paper provide a fresh strategy for MFA and dynamic trust management in 6G networks that make use of AI to solve these issues and improve MTC security. This study presents a novel approach to behavioural profiling that takes into account the strengths and weaknesses of machine-type devices. It was necessary to create simulated data to represent many situations due to the wide range of possible network circumstances, device characteristics, ambient variables, applications load of work, and security needs. The efficacy of the suggested remedy was evaluated during six simulation cycles. The findings showed that the framework can adapt to changing network circumstances and device behaviours, with stability demonstrated across many situations. The accuracy rates for implementing MFA ranged from 0.49 to 0.57. This MFA and AI-driven dynamic trust management framework has great potential to improve 6G network MTC security;its adaptability and resilience provide a solid basis for meeting the security concerns that will inevitably arise in the future of 6G networks. To maximize performance and assure successful deployment, more modifications and real-life testing are suggested. © 2025 IEEE.

关键词： Authentication Protocol

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Swin Transformer Encoder and Local Attention Network Via Transfer Learning Strategy for Retinal Vessel Segmentation 4

Swin Transformer Encoder and Local Attention Network Via Tra...

引用

4th international conference on Industrial Automation, robotics and Control engineering, IARCE 2024

作者： Yun, Jiacheng Li, Yang Beihang University Department of Automation Science and Electrical Engineering Beijing China

ISBN: (纸本)9798350380323

The effective segmentation of retinal blood vessels is an important means for diagnosis of fundus diseases. However, recent segmentation methods often ignore the global dependence of retinal blood vessels and have poor segmentation capability to small blood vessels. In addition, these methods are trained on limited datasets, resulting in a weak generalization ability. To solve these problems, we propose a new method based on Swin Transformer encoder and local attention network. First, Swin Transformer is used as an encoder to extract the global dependence of retinal blood vessels which can improve the continuity of blood vessels in segmentation results. Then, a local attention network based on edge detection module and coordinate attention module is developed to enhance the segmentation ability of the method to small blood vessels. Finally, a transfer learning strategy is also utilized in this paper. The encoder of our proposed method is pre-trained on ADE20K to enhance the generalization ability. Our proposed method is evaluated on three retinal image datasets: DRIVE, STARE and CHASE-DB1. The results demonstrate that the method proposed in this paper has better performance than others. © 2024 IEEE.

关键词： Ophthalmology

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Enhancing Multi-Robot Formation Control and Navigation Using Virtual Structures and Improved Path Planning Algorithms 4

Enhancing Multi-Robot Formation Control and Navigation Using...

引用

4th international conference on Innovative Research in Applied science, engineering and technology, IRASET 2024

作者： Rahaman, Md. Faishal Li, Xueyuan Zakaria, Khan Md Al, Amin Md Buse, Kurt Bashar, S.M. Abul School Of Mechanical Engineering Beijing Institute Of Technology Beijing China School Of Electrical And Power Engineering Hohai University Nanjing China School Of Automation Beijing Institute Of Technology Beijing China Th Rosenheim Department Of Hydrogen Technology Rosenheim Germany

ISBN: (纸本)9798350309508

Formation control plays a fundamental role in many domains, such as autonomous vehicles, aerial vehicles, and robotics, by enabling coordinated movement and cooperation among multiple agents. In this paper, we examine the performance of the Virtual Structure Approach (VSA) for formation control in robotic navigation, focusing on tasks like path planning based on an improvised A∗ algorithm and rectangular structure determination. Experimental validation with four mobile robots demonstrates the accuracy of the VSA in coordinating collaborative robot behavior. The proposed approach improves safety and efficiency in trajectory navigation. Additionally, improvements to the A∗ algorithm result in improved trajectories, which produce simplified pathways that facilitate efficient movement. The paper also explores the use of Lidar sensors and the Monte Carlo Localization technique to precisely map robot surroundings, improving perception and understanding of the surrounding environment. This work provides insightful information about formation control and opens up new possibilities for improving robotic navigation in many real-world contexts. © 2024 IEEE.

关键词： Motion planning

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Enhancing Robustness in Audio Visual Speech Recognition: A preprocessing approach with Transformer and CTC Loss

Enhancing Robustness in Audio Visual Speech Recognition: A p...

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

作者： Ithal, Bharath N. V. Lagan, T.G. Sudheer, Rhea Swathi Rupali, N.V. Mamatha, H.R. Pes University Dept. Of Computer Science Bengaluru India

ISBN: (纸本)9798350371567

Audio Visual Speech Recognition (AVSR) is a promising technology for speech recognition that is more robust to noise and other challenging conditions than traditional Audio Speech Recognition (ASR). AVSR systems work by fusing audio and visual features using machine learning algorithms. One of the key challenges in AVSR is developing effective fusion methods. AVSR systems are currently being used in many different applications, having made great strides in recent years despite these obstacles. In this paper, we introduce a preprocessing technique applied on a Transformer model with Connectionist Temporal Classification (CTC) loss that increases the robustness of the AVSR model against noise. We preprocess the training audio clips by adding noise to it, resulting in significant reductions in word error rates and a more efficient training process. The project significantly advances in the field of audio-visual speech recognition and highlights the potential for practical applications, particularly in noisy and challenging environments. © 2024 IEEE.

关键词： Speech recognition

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Indoor Following Model Based on TDOA Positioning and Q-Learning Algorithm 2

Indoor Following Model Based on TDOA Positioning and Q-Learn...

引用

2nd international conference on Automation, robotics and Computer engineering, ICARCE 2023

作者： Shu, RenBin Feng, JinDong Xu, YangKai Shu, TengFeng Shu, ZiHuan College of Mathematics and Computer Science Northwest Minzu University Lanzhou China College of Electrical Engineering Science Northwest Minzu University Lanzhou China

ISBN: (纸本)9798350308341

This paper presents an indoor tracking algorithm model designed specifically for the unique scenario of supermarkets. Firstly, the UWB positioning technology is utilized to replace the RFID radio frequency positioning due to its superior performance in all aspects. Additionally, to account for the vast area of supermarkets, the TDOA algorithm is employed to cluster and combine all UWB positioning base stations, thereby reducing non-line-of-sight errors and improving the overall positioning accuracy. Furthermore, the supermarket is abstracted into a two-dimensional plane with insurmountable obstacles, and the Q-learning algorithm and its improved version are utilized to obtain the optimal and suboptimal paths between two points in the supermarket, which can be used to determine the general direction of travel. In the event of obstacles along the travel path, the DWA algorithm is employed to perform local dynamic obstacle avoidance, ultimately achieving the goal of shopping cart tracking. © 2023 IEEE.

关键词： Time difference of arrival

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Creating a Semantic Knowledge Base and Corpus for Emotion Recognition in Kazakh-Language Texts: Methodologies, Tools, and Technologies 6

Creating a Semantic Knowledge Base and Corpus for Emotion Re...

引用

6th international conference on Control and robotics, ICCR 2024

作者： Yergesh, Banu Kenzhina, Lyaila Mukanova, Assel L.N. Gumilyov Eurasian National University Digital Development Department Astana Kazakhstan L.N. Gumilyov Eurasian National University Astana Kazakhstan School of Information Technology and Engineering Astana Internetional University Astana Kazakhstan

ISBN: (纸本)9798331518158

This paper aims to review tools and technologies for collecting and processing data to create a knowledge base of emotional words and phrases, as well as a corpus of emotional texts in the Kazakh language. In this paper, we present an overview of existing methods and tools for recognizing emotions in texts and propose approaches to creating the linguistic resources necessary for analyzing emotions in the Kazakh language. We also discuss potential directions for further research and the application of the developed methods in real-world settings. Thus, the study aims to fill the existing gap in the field of emotion recognition in the Kazakh language and proposes methodological and technological solutions that can be adapted and applied to other low-resource languages. © 2024 IEEE.

关键词： Latent semantic analysis

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Mitigation of Power Oscillations in DC Microgrid Using Model Predictive Control 10

Mitigation of Power Oscillations in DC Microgrid Using Model...

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10th international conference on Automation, robotics, and Applications, ICARA 2024

作者： Sharma, Rahul National Institute of Technology Kurukshetra Electrical Engineering Department Kurukshetra India

ISBN: (纸本)9798350394245

An MPC (Model Predictive Control) technique is proposed to manage the adaptive control structure of the dc microgrid using boost converters to interface with common DC link bus voltage. MPC is an intelligent control method to predict the future behavior of the system using previous outputs and system state model by taking constraints into account. The dc microgrid model is taken into study which consists of a battery as energy storage device (BESS) and a PV used as generation unit (DGs). A boost converter has been incorporated to interface each DGs. A proposed method is utilized to reduce the ripple in output voltage and current fluctuations with better power quality for the loads as compared to other control techniques, maintaining DC link voltage constant. The effectiveness of the proposed control is shown using a comparative analysis between MPC and PID based control structures in the DC microgrid model. Also, a disturbance has been inserted by considering the variation in the load. The output of switching characteristics and results were analyzed and studied to draw the conclusion and reflect the effectiveness of the proposed MPC control scheme for achieving improved voltage regulation, stability and reliability. © 2024 IEEE.

关键词： Model predictive control

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