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

共 47675 条记录，以下是411-420 订阅

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Revolutionizing Multiplication: Implementing Vedic Sutra Principles in Multiplier Design

Revolutionizing Multiplication: Implementing Vedic Sutra Pri...

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

作者： Puttegowda, Kiran Shetty, Saritha Prabhavathi, K. Yathiraj, G.R. Chandra Shekar, P. Sunil Kumar, D.S. Vidyavardhaka College of Engineering Department of Electronics and Communication Engineering Karnataka Mysuru India Department of Mca Karnataka Nitte India Bgs Institute of Technology Adichunchanagiri University Department of Electronics and Communication Engineering BG Nagara Mandya India Coorg Institute of Technology Department of Cse Karnataka Ponnampet India Atme College of Engineering Department of Electronics and communication Engineering Karnataka Mysuru India Anatta Innovations Karnataka Bangalore India

ISBN: (纸本)9798350388602

Ancient Indian Mathematics, known as Vedic Mathematics, draws from 16 principles found in ancient Indian scriptures (Vedas). Among these principles, Urdhva Tiryakbhyam, Ekanyunena Purvena, and Ekadhikena Purvena stand out for their relevance in modern computation. In recent decades, there has been significant interest in developing fast multiplier circuits, with Vedic multipliers gaining favor due to their efficiency in terms of speed, space utilization, and power consumption. This study examines the performance of these sutras, particularly in the context of 16-bit operations, using Verilog programming language for implementation and Vivado 2017.1 for synthesis and testing. Through simulations and analysis, the aim is to identify optimal outcomes in terms of area, speed, and power efficiency, contributing to advancements in digital signal systems and processor design. © 2024 IEEE.

关键词： Multiplying circuits

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Intelligent Charge Controllers for EVs Using Whale Optimization Algorithm for Demand Management 1

Intelligent Charge Controllers for EVs Using Whale Optimizat...

引用

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

作者： Jose, A. Sujin Ram, S Sakthiya Bharathi, C.R. Devarajan, M. Krishna, A.P. Jaya Madhan, A. New Horizon College of Engineering Department of Automobile Engineering Bangalore India Bannari Amman Institute of Technology Department of Electronics and Instrumentation Engineering Tamil Nadu Sathyamangalam India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Sethu Institute of Technology Department of Mathematics Tamil Nadu Virdhunagr India Sona College of Technology Department of Electronics and Communication Engineering Tamilnadu Salem India Velammal College of Engineering and Technology Department of Electrical and Electronics Engineering Tamilnadu Madurai India

ISBN: (纸本)9798331518578

This paper proposes the development of a smart charge controller for electric vehicles that may take advantage of the Whale Optimization Algorithm (WOA) to improve on energy efficiency and demand management. The technology optimized charging parameters through dynamic adjustment of the charging process in relation to the energy demand from the grid, SOC, and power pricing. This ability of WOA to balance between exploration and exploitation allows the controller to minimize thermal losses in systems and prevent battery degradation. Moreover, energy wastage is avoided so that the controller can ensure efficient energy utilization. The experiment results show that compared to the current charge controllers, a WOA-based controller would improve grid load management by 10%, reduce battery degradation by 15%, and increase efficiency in the utilization of energy by 20%. This system has the scalability as well as the real-time adaptability to changing requirements of batteries and grid conditions that would make it suitable for areas with high penetration of electric vehicles. This system outperforms the others by optimizing the load distribution necessary for optimal charging. © 2025 IEEE.

关键词： Battery management systems

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A Survey on Security Techniques for Cloud Data Migration

A Survey on Security Techniques for Cloud Data Migration

引用

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

作者： Dhaman, Anjali Suman, Ugrasen School of Computer Science and It Devi Ahilya Vishwavidyalaya Indore India

ISBN: (纸本)9798350388800

Cloud computing has numerous advantages across various industries. Now-a-days cloud computing has become more popular because of the increasing demands in the field of virtualization. It enables businesses to streamline operations, enhance collaboration, achieve cost savings, and provide enhanced productivity. The process of moving data fromonecloudenvironmenttoanother, orfromon-premises to thecloud, orboth, iscalledclouddatamigration. Thedata during cloud migration must be protected against breaches, unauthorized access, insider threats, data tampering, etc. Data migration must be performed securely by utilizing an encryption algorithm to ensure confidentiality and facilitate robust and efficient migration, even in the face of potential security threats. A survey and comparison of several cryptographic algorithms for cloud data migration are presented in this paper. © 2024 IEEE.

关键词： Cloud security

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Elastic TiO2-embedded silicone oil-(poly)dimethylsiloxane membrane for compliant robotics 7

Elastic TiO2-embedded silicone oil-(poly)dimethylsiloxane me...

引用

7th IEEE international conference on Electrical, Electronics, and System engineering, ICEESE 2024

作者： Osman, Ahmad Farimin Ahmad Yoong, Chan Kah Liang, Lee Chu Zakaria, Shamsul Centre for Advanced Devices and Systems Faculty of Engineering Faculty of Industrial Science and Technology Multimedia University Universiti Malaysia Pahang Al-Sultan Abdullah Cyberjaya Pahang Malaysia Centre for Advanced Devices and System Faculty of Engineering Multimedia University Cyberjaya Malaysia Faculty of Industrial Science and Technology Universiti Malaysia Pahang Al-Sultan Abdullah Pahang Malaysia

ISBN: (纸本)9798350367447

Polydimethylsiloxane (PDMS) is essential in compliant robotics due to its versatility, elasticity, and biocompatible properties. Despite all the advantages, PDMS has a drawback of low dielectric permittivity, requiring high electric fields for significant actuation strains, which is the main cause leading to premature membrane breakdown. This paper investigates a dual-filler embedding approach using titanium dioxide (TiO2) and silicone oil (SO) to enhance the electromechanical properties and elasticity of PDMS membranes. A PDMS pre-blend was prepared by mixing commercial PDMS with a specified ratio of TiO2 and SO, forming single-filler and dual-filler systems, followed by curing in a laboratory oven. The membranes were subsequently characterized through uniaxial tensile testing to determine tensile strength, elongation at break, and Young's modulus. Breakdown strength analysis was conducted using a breakdown tester with step-up voltage, while relative permittivity was examined with an impedance analyzer within a frequency range of 30 MHz to 20 Hz. The dual-filler approach significantly improved tensile properties and elasticity, making PDMS membranes suitable for compliant robotics. This hybrid strategy creates a TiO2-embedded silicone oil-(poly)dimethylsiloxane composite membrane capable of withstanding extensive deformation thereby improving the performance and elasticity of compliant robotic systems. © 2024 IEEE.

关键词： Titanium dioxide

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Design and Interactive Control Study of Lower Limb Exoskeleton Rehabilitation Robot System 9

Design and Interactive Control Study of Lower Limb Exoskelet...

引用

9th international conference on robotics and Automation engineering, ICRAE 2024

作者： Li, ShangHang Dalian Maritime University College of Information Science and Technology Dalian China

ISBN: (纸本)9798331518301

This study aims to explore the application of lower limb exoskeleton robots in rehabilitation therapy to meet the increasing demands of disabled individuals for rehabilitation. At present, exoskeleton robot research requires lightweighting to alleviate the negative effects caused by its own wearing. Addressing the limitations of traditional rehabilitation methods, this paper proposes a system design and interactive control scheme for lower limb exoskeleton robots to improve rehabilitation efficiency and user experience. The exoskeleton robot in this paper has a lightweight mechanical structure and stable and safe control algorithms, including 14 lower limb degrees of freedom, hip and knee joint assistive motors. The knee joint assistive motor is installed on the thigh and driven in a four-bar linkage mechanical form. The research focuses on kinematic analysis, gait curve planning optimized based on cycloidal functions, detecting leg motion status through foot-end sensors, and human-machine interaction control strategy based on the Jacobian matrix to obtain reference forces. Simulation results indicate that the proposed exoskeleton robot can simulate normal human leg motion. © 2024 IEEE.

关键词： Exoskeleton (robotics)

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Support Vector Machine with SMOTE Based on Correlated Covariates 2

Support Vector Machine with SMOTE Based on Correlated Covari...

引用

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

作者： Cheng, Hao National Academy of Innovation Strategy China Association for Science and Technology Beijing China

ISBN: (纸本)9798350308341

In real data, imbalanced data and massive covariates usually bring large challenges and computational burdens in machine learning fields. The existing synthetic minority over-sampling technique (SMOTE) has been well developed to deal with the imbalanced data. To further improve computational efficiency, support vector machine (SVM) are modified to accomplish classifications only based on significantly correlated covariates rather than all the covariates. As comparisons, the paper uses different kernel functions in SVM with SMOTE to show their different performances. © 2023 IEEE.

关键词： Computational efficiency

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On Stable Learning Control Study For Underwater Robot Operation Under Ocean Currents

On Stable Learning Control Study For Underwater Robot Operat...

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2024 IEEE international conference on robotics and Biomimetics, ROBIO 2024

作者： Shi, Bao Ou, Yongsheng Zhao, Guoliang Wang, Degang School of Control Science and Engineering Dalian University of Technology Dalian116024 China College of Electronic Information Engineering Inner Mongolia University Hohhot010021 China

ISBN: (纸本)9781665481090

With the continuous advancement and widespread application of robotics technology, reliable and adaptable control systems have become particularly critical. This strategy can not only improve the stability and operational efficiency of robots in complex interference environments, but also bring significant social benefits, especially in the exploitation of under-water resources. However, in the face of ocean currents, robot systems need to strike a balance between stability, real-time performance, and adaptability. Therefore, this article proposes a stable control strategy with generalization ability in ocean current environments, namely, a learning based robot stability control strategy. Specifically, a control law is designed based on the state offset between the expected state and the actual state to correct the position deviation of the robot. Meanwhile, Lyapunov stability theory is used to ensure the stability of the system. It should be emphasized that this strategy can be extended to different trajectory tracking without the need for repeated parameter adjustments. In addition, to avoid the interference of ocean currents affecting the positioning of the robot itself, we use visual monitoring to obtain the real-time status of the robot. Finally, multiple sets of real experiments are constructed to validate the effectiveness of the proposed strategy. © 2024 IEEE.

关键词： Control system stability

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Obstacle Identification Based on Deep Learning for Inspection Robot of FAST Wire Rope 2

Obstacle Identification Based on Deep Learning for Inspectio...

引用

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

作者： Yang, Chengxu Sun, Xiangyu Liu, Gangfeng School of Mechatronics Engineering Harbin Institute of Technology Harbin China Harbin Institute of Technology State Key Laboratory of Robotics and System Harbin China

ISBN: (纸本)9798350308341

In this paper, for the requirements of image recognition and localization of the obstacles existing on the moving path in the inspection task of FAST cable inspection robot, the deep learning method is used to realize the recognition of multi-kind and multi-scale obstacles. The obstacles on FAST wire rope have not been identified before. By enhancing the data set and improving the network model, the recognition accuracy and speed are both improved, which meets the efficiency and accuracy requirements of obstacle detection on the wire rope, and provides help for the subsequent robot pace planning and overhaul tasks. © 2023 IEEE.

关键词： Inspection

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Multi-Criteria Decision-Making (MCDM) methods for microgrids: An overview

Multi-Criteria Decision-Making (MCDM) methods for microgrids...

引用

international conference on Innovation and Technological advances for Sustainability, ITAS 2023

作者： Alqaisi, Walid El-Bayeh, Claude Ziad Alzaareer, Khaled Zellagui, Mohamed Flah, Aymen Brahmi, Brahim School of Engineering Technology The University of Doha for Science and Technology Jelaiah St. Doha Qatar Canada Excellence Research Chair Team Concordia University Montreal Canada Electrical Engineering Department Philadelphia University Amman Jordan Department of Electrical Engineering Faculty of Technology University of Batna 2 Fesdis Batna Algeria Processes Energy Environment and Electrical Systems National Engineering School of Gabès University of Gabès Gabès Tunisia Electrical Engineering Department Collège Ahuntsic MontrealQC Canada

ISBN: (纸本)9781032803722

Multi-Criteria Decision-Making (MCDM) methods are great tools for solving complex problems with a huge number of alternatives, conflicting criteria and objectives. The main goal of using MCDMs in engineering, especially in the design of micro-grids (MGs), is to find the best solution for a specific complex problem among many possibilities and alternatives, such as selecting the best solar panel from many alternatives considering contradicting criteria. This paper presents a brief overview of the usage of MCDM methods in MGs. It shows, (a) the most used MCDM algorithms for MG design and components’ selection, (b) the main objective functions in modeling MCDM problems, (c) the main criteria (e.g., technical, technological, economic, social, and environmental), and (d) the prons and cons of each MCDM method. In addition, it points out the available MCDM software in the market and categorizes them. © 2025 The Author(s).

关键词： Solar concentrators

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technology of Mobile Robot Localization Assisted byQRCodes 4

Technology of Mobile Robot Localization Assisted byQRCodes

引用

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

作者： Wang, Yumeng Zhou, Qiang Li, Honglin Yue, Haosong School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9798350380323

With the improvement of productivity levels, people's demand for enhanced functionality and expanded application scenarios of mobile robots is increasing. Mobile robots are playing an increasingly critical role in several fields. Ensuring that mobile robots can achieve high-precision localization in various environments has become the basis for its role. However, traditional laser-based localization technologies suffer from significant errors in areas with indistinct environmental features. Firstly, the QR code is deeply studied, including its characteristics, classification and function principle in localization calculation. To address this, a method that utilizes QR codes for assisting in robot localization is proposed. To validate the proposed method, a specific QR code was selected and the key technologies for mobile robot localization were thoroughly studied. The method integrates QR code information using laser-based radar and the Cartographer SLAM algorithm to achieve accurate localization. To verify the research results, a Gazebo simulation platform for mobile robots was established, and the simulations and physical validations of the proposed method were completed. The results show that the QR code assisted localization technology can significantly improve the localization accuracy in the area with not obvious environmental characteristics. Moreover, through the research of mobile robot localization technologies, it has a significant promoting effect on the cultivation of students' engineering practice and innovation ability. © 2024 IEEE.

关键词： SLAM robotics

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