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3rd international conference on robotics, automation and intelligent control, icraic 2023

ISBN: (纸本)9798350360813

The proceedings contain 75 papers. The topics discussed include: transmissive phase measuring deflectometry system using frequency domain gamma error elimination algorithm;development of ballast water control simulation system for solid bulk carriers;an unknown risk analysis and evaluation method for distribution edge computing networks;analysis and research on technical characteristics of balance type twin-screw compressor based on advantage structure;metal surface feature fusion for defect recognition;source-based disjoint multi-path routing protocol for underwater acoustic networks;which performs better, linear scanning or the KNN searching algorithm based on 2D grids?;remote sensing on a bird-inspired flapping wings robot combined with lidar;and airborne test switching network status automatic monitoring technology.

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PREFACE: 3^rd international conference on robotics, intelligent automation and control Technologies (RIACT 2022)

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AIP conference Proceedings 2023年第1期2946卷 1-8页

作者： Arockia Doss, Arockia Selvakumar Short, Michael Schilberg, Daniel Design and Automation Research Group School of Mechanical Engineering Vellore Institute of Technology Tamil Nadu Chennai India School of Computing Engineering and Digital Technologies Teesside University United Kingdom Department of Mechatronics and Mechanical Engineering University of Applied Sciences Bochum Germany

Preface: 3rd international conference on robotics, intelligent automation and control Technologies (RIACT 2022), AIP conference Proceedings, Volume 2946, Issue

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3rd international conference on intelligent robotics, Mechatronics and automation Systems, IRMAS 2023

3rd International Conference on Intelligent Robotics, Mechat...

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3rd international conference on intelligent robotics, Mechatronics and automation Systems, IRMAS 2023

The proceedings contain 44 papers. The topics discussed include: efficient object detection for micro aerial vehicle navigation using enhanced SSD-HOG descriptors;multiple viewing angle robot with remote access;design and development of an autonomous unmanned aerial vehicle for surface coalmines surveillance;the importance of the fourth wheel in a four-wheeled omni directional mobile robot - an experimental analysis;development and empirical evaluation of a biomimetic autonomous robotic arm for manipulating objects with diverse geometries;design and development of rover with pick and place mechanism;design and development of multi-axis manipulator for data acquisition for neurosurgery applications;augmented reality based training module for IC engine assembly and disassembly;performance evaluation of adjustable stroke piston pump with varying fulcrum position;analyzing the effect of process parameters on amaranth popping and puffing in the Lahi machine using the Taguchi method;and mathematical modelling of gear upshift and downshift schedule for two-wheeler amt transmission.

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3rd international conference on Emerging Electronics and automation, E2A 2023

3rd International Conference on Emerging Electronics and Aut...

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3rd international conference on Emerging Electronics and automation, E2A 2023

ISBN: (纸本)9789819768011

The proceedings contain 54 papers. The special focus in this conference is on Emerging Electronics and automation. The topics include: P4 Language-Based Load-Aware Efficient Resource Utilization in Software Defined Networks;implementation of Derived Quadratic Boost Dual Input Converter for Automotive Application;intelligent Solution for Voltage Profile Enhancement Using Dynamic Voltage Restorer;Optimizing Reliability of PV-Based Microgrid by Integrating Fuel Cell;secure Communication in Vehicle-to-Grid Networks: A Study on Man in the Middle Attack Mitigation;Comparative Analysis of PID and LQR control for Autonomous Vehicle Platoons;effect of Mass on Parameters of Electric Vehicle;Modeling and Analysis of an Underactuated Underwater Vehicle Manipulator System (UVMS) for Underwater Intervention;modified Artificial Potential Field Algorithms for Mobile Robot Path Planning;Comparative Analysis of Advanced Driver Assistance Systems (ADAS) in Automobiles;innovative Acoustic Wave Fire Suppression System for Portability;a Comparative Study on the Various Aging Laws Governing Lithium-Ion Capacitor Cycling Aging;Modified Carrier Based Phase Shift Modulation Method for Modular Multilevel Converter for the Improvement of THD and Switching Losses;design Analysis of Vertical Axis Wind Turbine in Jaipur & Thiruvananthapuram;structural and Numerical Analysis of Bladeless Wind Turbine;classification of Poikilocytosis Abnormality Using Ensemble Deep Learning Technique;person Re-identification Using Convolutional Fuzzy Neural Network Classifier;demand Forecasting for Market Basket Analysis;framework to Evaluate Twitter Tweets Using K-Means Clustering;feature Selection Strategies for Accurate Crop Yield Prediction in Heterogeneous Datasets;deep Transfer Learning for Multiclass Dermatology Classification: A Comprehensive Study;depneumoNet: A Novel Model for Improved Pneumonia Diagnosis Through Chest X-Ray Imaging.

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3rd international conference on Emerging Electronics and automation, E2A 2023

3rd International Conference on Emerging Electronics and Aut...

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3rd international conference on Emerging Electronics and automation, E2A 2023

ISBN: (纸本)9789819730896

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The Present Investigation Investigates the Utilization of Big Data-Driven Clustering Algorithms in the Field of Electrical Engineering automation

The Present Investigation Investigates the Utilization of Bi...

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3rd international conference on Information control, Electrical Engineering, and Rail Transit, ICEERT 2023

作者： Cao, Yifan Metallurgy Automation Research and Design Institute Co. Ltd. Beijing100071 China National Key Laboratory of Metallurgical Intelligent Manufacturing System Beijing100071 China

ISBN: (纸本)9789819746194

This study examines the application of big data clustering algorithms in the field of electrical engineering automation. Electrical engineering automation is a key area that covers power system management, smart grids, and industrial automation, and requires effective data processing and analysis methods to optimise operations and decision-making. Big data clustering algorithms have been introduced to cope with the huge datasets generated in electrical engineering, as well as the diversity and complexity in the data. Big data clustering can be used for power load forecasting to help utilities better plan resources and reduce energy waste. It can also be used for equipment fault detection in smart grids to improve grid reliability and stability. In addition, the study highlights challenges such as data quality and privacy protection, which are important issues to consider when adopting big data clustering algorithms in electrical engineering automation. Finally, the study summarises the potential value of big data clustering algorithms in electrical engineering automation and suggests directions for future research to further advance the field. This study provides insights and guidance to professionals in the field of electrical engineering automation on how big data clustering algorithms can be utilised to improve productivity and decision making. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Large datasets

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intelligent Solution for Voltage Profile Enhancement Using Dynamic Voltage Restorer 3rd

Intelligent Solution for Voltage Profile Enhancement Using D...

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3rd international conference on Emerging Electronics and automation, E2A 2023

作者： Kumar, Prashant Arya, Sabha Raj Bosu, Rahul School of Sustainability Studies Symbiosis Skills and Professional University Pune412101 India Department of Electrical Engineering Sardar Vallabhbhai National Institute of Technology Surat395007 India Department of Electronics and Communication Engineering Budge Budge Institute of Technology Kolkata700137 India

ISBN: (纸本)9789819768011

The paper presents the effectiveness of an intelligent control based Dynamic Voltage Restorer (DVR) for voltage related issues. The developed neural architecture optimized by Coronavirus Herd Immunity Algorithm (CHIA) to extract the best fitted feedforward (FF)-based Backpropagation (BP) which is employed for the fundamental extraction. The distribution system voltage is stabilized by the implementation of Fractional Order PID (FOPID) and effective regulates the voltage across DC and AC bus under dynamical state. The main disadvantage of classical technique SRF-PI has manual intervention for coefficient tuning and increases the computation effort. The proposed controllers FF-BP-based CHIA and optimized FOPID by Sooty Tern Optimization overcome the issues of SRF-PI and significantly improve the overall DVR performance. In the proposed design of DVR, NN layer interconnected weights and neurodes are optimized by Coronavirus Herd Immunity Algorithm (CHIA) and gains of FOPID by Sooty Tern Optimization (STO). The objective function taken for assessment of FOPID is the integral time square error (ITSE). The FOPID (PIλDδ) has additional tuning coefficients compared to classical PI tuning and result confirms the less settle time, rise time, and overshoot of 0.223 s, 0.126 s, and 6.6% respectively. The controller efficacy is examined under polluted grid voltage like sag/swell, distortion, and imbalance. Compared to the conventional control scheme, FF-BP-based CHIA and optimized FOPID improves the output voltage profiles and maintain THD of 3.33% as per IEEE-519. The DVR performance is validated by simulation and experimental results with the developed control algorithms. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Coronavirus

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2023 3rd international conference on Mechatronics, automation and intelligent control, MAIC 2023

2023 3rd International Conference on Mechatronics, Automatio...

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2023 3rd international conference on Mechatronics, automation and intelligent control, MAIC 2023

The proceedings contain 37 papers. The topics discussed include: bond graph model study of the jet dispensing valve;a multi-objective segmentation scheduling method for the flexible dismantling of retired power batteries taking into account transfer time;structural design and obstacle-crossing performance analysis of a compact anti-terrorist robot;precision measurement of dimension over two pins of flexspline of harmonic reducer;on-line detection of pressure vessel based on infrared imaging technology;design of batch automatic testing system based on electric cylinder;structure design and implementation of a two-axis four-gimbal electro-optical pod;design and analysis of automatic heat sealing production line for a top cover;a study on recorder airworthiness mechanical properties of airborne data;and a data-driven UUV decision-making test strategy design method.

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Arduino-based Omnidirectional Mobile intelligent Vehicle control System 3

Arduino-based Omnidirectional Mobile Intelligent Vehicle Con...

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3rd international conference on robotics, automation and intelligent control, icraic 2023

作者： Zhang, Dandan Xu, Yinan Li, Hao Wu, Yujing Yanbian University Yanbian China

ISBN: (纸本)9798350360813

In order to solve the problems of road traffic congestion and poor autonomous movement in a narrow space, this paper develops a set of omnidirectional mobile intelligent vehicle control system based on Arduino and using Mecanum wheel. The system allows the vehicle to move autonomously in a narrow space, with intelligent obstacle avoidance, steering and U-turn functions. We used the assembled cart to write the corresponding program and debugged the control parameters of some motors and servos to improve the various tasks of the cart. © 2023 IEEE.

关键词： Traffic congestion

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Dynamic reactive power optimization strategies for active distribution networks 3

Dynamic reactive power optimization strategies for active di...

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3rd international conference on robotics, automation and intelligent control, icraic 2023

作者： Ke, Yiluo Sun, Xianbo Wang, Zhichao Hubei Minzu University College of Intelligent Systems Science and Engineering Enshi China

ISBN: (纸本)9798350360813

In order to improve the utilization of distributed power sources and to cope with a series of challenges including voltage deviation, fluctuation, and poor power quality caused by the uncertainty of distributed power sources and loads, this paper establishes a two-stage robust optimization dynamic reactive power optimization model that includes many controllable devices such as energy storage, distributed power sources, and packet casting capacitors. Firstly, this paper proposes a method to reduce the conservatism of the robust optimization problem using an uncertain budget, and then solves the problem using the column constraint generation method. Finally, the modified IEEE-33 node is used as an example to validate the developed model. The simulation results show that the robust optimization method can better solve the problems caused by the uncertainty factors of distributed power and load, and the robust optimization reduces 177.9kWh on average compared with the deterministic optimization in the worst scenario. © 2023 IEEE.

关键词： Power quality

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