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Research and Design of a Ceramic Tile Defect Detection Edge Device Utilizing YOLOv5 and MobileNetV3 6

Research and Design of a Ceramic Tile Defect Detection Edge ...

引用

6th IEEE international conference on Automation, Electronics and electrical engineering, AUTEEE 2023

作者： Chen, Yuejun Wuhan University of Technology School of Computer Science and Artificial Intelligence Wuhan China

ISBN: (纸本)9798350305623

This investigation is dedicated to developing an advanced ceramic tile defect detection system based on YOLOv5 and MobileNetV3, aimed at augmenting the efficiency and precision of quality control in industrial tile production. The research is grounded in the pressing need for automated and precise technologies in the field of industrial quality inspection. Initially, the paper outlines the potential of deep learning algorithms in detecting flaws in ceramic tiles and identifies YOLOv5 and MobileNetV3 as the pivotal models. The methodology encompasses the integration of these models and their specific optimization for tile defect detection tasks. Key findings indicate that the amalgamation of these models significantly enhances detection efficiency and accuracy, particularly in resource-constrained edge computing environments. Moreover, the study underscores the potential applications of deep learning in industrial automation, providing valuable data and insights for future research. The unique contribution of this research lies in its innovative exploration of real-time, efficient methods for detecting defects in ceramic tiles. © 2023 IEEE.

关键词： Ceramic Tile Defect Detection Deep Learning Industrial Automation MobileNetV3 YOLOv5

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An Asynchronous Call Graph for JavaScript 44

An Asynchronous Call Graph for JavaScript

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ACM/IEEE 44th international conference on Software engineering - Software engineering in Practice (ICSE-SEIP)

作者： Seifert, Dominik Wan, Michael Hsu, Jane Yeh, Benson Natl Taiwan Univ Taipei Taiwan

ISBN: (纸本)9781665495905

Asynchronous JavaScript has become omnipresent, yet is inherently difficult to reason about. While many recent debugging tools are trying to address this issue with (semi-)automatic methods, interactive analysis tools are few and far between. To this date, developers are required to build mental models of complex concurrent control flows with little to no tool support. Thus, asynchrony is making life hard for novices and catches even seasoned developers off-guard, especially when dealing with unfamiliar code. That is why we propose the Asynchronous Call Graph. It is the first approach to capture and visualize concurrent control flow between call graph roots. It is also the first concurrency analysis tool for JavaScript that is fully interactive and integrated with an omniscient debugger in a popular IDE. First tests show that the ACG works successfully on real-world codebases. This approach has the potential to set a new standard for how developers can analyze asynchrony.

关键词： Concurrent computing Visualization Codes Debugging Cognitive science Standards Software engineering

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Dynamic Data Modeling and Analysis Based on Simulink Engine Throttle Digital control FPGA System 6

Dynamic Data Modeling and Analysis Based on Simulink Engine ...

引用

6th international conference on Intelligent computing and control Systems, ICICCS 2022

作者： Zhao, Changgan Oxbridge College Kunming University of Science and Technology School of Electrical and Information Engineering Kunming650106 China

ISBN: (纸本)9781665410359

This paper analyzes the non-linear factors in the electronic throttle, and derives the FPGA digital control FPGA system of the electronic throttle. A simulation model of the system was established in Matlab/Simulink according to the mathematical model;in order to explore the control effects of linear control algorithms and non-linear control algorithms on the electronic throttle, incremental PID control algorithms and variable structure sliding mode control algorithms were used to pair the sections. The valve is controlled. Set up the throttle model and controller model in Matlab/Simulink, and determine the structure and parameters of the controller through simulation. © 2022 IEEE.

关键词： Simulink

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Identity Recognition based on Palmprints: The Preliminary Results 21

Identity Recognition based on Palmprints: The Preliminary Re...

引用

21st IEEE international conference on sciences and Techniques of automatic control and Computer engineering, STA 2022

作者： Amrouni, Nadia Benzaoui, Amir Adjabi, Insaf University of Boumerdes Electrical Systems Engineering Department Algeria University of August 20 1955 Electrical Engineering Department Skikda21000 Algeria University of Bouira Computer Science Department Bouira10000 Algeria

ISBN: (纸本)9781665482615

Private and automatic recognition in many applications, such as forensic, access control, and surveillance systems, has become necessary in recent years. Biometrics, which treats individuals' identification based on physical or behavioral characteristics, has emerged as an effective automated identification technology, offering more properties and advantages than conventional protection. The use of palmprints in biometric authentication has dramatically increased and has been used extensively in management systems for businesses, Internet of Thinks, and individuals. In this field, the palmprint is considered a new modality, a unique entity that is stable over time and has a rich information structure. As part of this work, the local binary pattern descriptor (LBP) was used and tested under several configurations to extract the palmprint modality's optimal and efficient characteristics. As preliminary results, our experiments on the IITD Palmprint V1 database exhibit impressive performance. © 2022 IEEE.

关键词： Local binary pattern

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Numerical Estimation of the Internal Positivity of the Fractional Order Model of a Two-Dimensional Heat Transfer Process 1

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27th international conference on Automation, AUTOMATION 2023

作者： Oprzędkiewicz, Krzysztof Department of Automatic Control and Robotics Faculty of Electrical Engineering Automatic Control Informatics and Biomedical Engineering AGH University of Science and Technology al. A Mickiewicza 30 Krakow30-059 Poland

ISBN: (数字)9783031258442

ISBN: (纸本)9783031258435

In the paper the numerical estimation of the internal positivity of the model of a two dimensional heat transfer process is addressed. The considered thermal process is described by the fractional order state equation, derived from parabolic heat equation with homogenous Neumann boundary conditions and distributed control and observation. Two numerical algorithms of the positivity testing are proposed and compared. The first one consists in the full examination of the whole area. The next one uses Monte Carlo method. From tests it can be concluded that the considered model can be internally positive only for its lower orders and heating and measurements located closely to the corner of the tested area. The use of the Monte Carlo method allows to significantly shorten the duration of computations. The presented results can be useful in measurements using a thermal camera. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Fractional order system Monte Carlo method Positivity Thermal camera

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Model Predictive Current control for Asymmetric Six-phase Permanent Magnet Motors with Less Computation and Optimized Voltage Vector Magnitude

Model Predictive Current Control for Asymmetric Six-phase Pe...

引用

2022 international conference on Smart Energy and electrical engineering, SEEE 2022

作者： Sun, Jinyu Chen, Fubing Huai'An Key Laboratory of Big Data Intelligent Computing and Analysis China The School of Computer Science and Technology Huaiyin Normal University Huaian223001 China

For the sake of the fixed magnitude of candidate control sets, the conventional model predictive current control (MPCC) for asymmetric six-phase permanent magnet motors suffers from huge harmonic currents. This article designs a novel MPCC that aims to improve operational performance. First, virtual-voltage vector (VV) sets are synthesized as the new candidate vectors to restrain harmonic currents. Then, a simplified method for evaluating voltage vectors is used to alleviate the computation in the enumeration process. Moreover, the duty cycle modulation with the deadbeat solution is introduced to optimize the magnitude of the VV. The modulation range can be expanded by utilizing null vectors, which will significantly reduce the torque fluctuations and flux ripples. The experiments are conducted to verify the designed control strategy. © Published under licence by IOP Publishing Ltd.

关键词： Vectors

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Actor-Critic Learning of Variable Damping Injection for Quadrotor Attitude Robust control

Actor-Critic Learning of Variable Damping Injection for Quad...

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international conference on electrical engineering, computing science and automatic control (CCE)

作者： Alejandro Tevera-Ruiz Sergio E. Urzúa-Correa Vicente Parra-Vega Anand Sanchez-Orta Rodolfo Garcia-Rodriguez Robotics and Adv. Manufacturing CINVESTAV Saltillo Mexico Postgraduate Program in Aerospace Engineering Univ. Politécnica Metropolitana de Hidalgo Mexico

On the one hand, a class of model-free integral sliding modes requires damping injection to stabilize the closed-loop system to a certain bound, [1]. This technique has been extended to a variety of robots, including quadrotors. However, the damping matrix K value is difficult to calculate precisely. Henceforth, it is customary to overestimate it in practice, which is ritical for airborne robots, such as a lightweight quadrotor, which leads to a higher rate of dissipation with higher energy expenditure, which is highly inefficient. On the other hand, novel Reinforcement Learning (RL) schemes have also been developed for autotuning feedback gains, mainly using Actor-Critic (AC)-RL architectures. In this paper, we synergistically blend both schemes to learn the necessary K that enables the enforcement of integral sliding modes to control of the attitude of the quadrotors. Local robust exponential tracking is achieved without any pre-training of neural networks neither of adaptive parameters nor any knowledge of dynamics. A representative comparative simulation study is presented that shows the effectiveness of our scheme versus the fixed-gain case. The results show how critical it is K to complete the flight mission without wasting energy, then less battery consumption, an essential by-product of our formulation. As a future work, an experimental testbed is under development to test it in soft real-time, including its extension to position tracking.

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Analysis of the Signal and computing Technology in Finite Space

Analysis of the Signal and Computing Technology in Finite Sp...

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2023 IEEE international conference on electrical, Automation and Computer engineering, ICEACE 2023

作者： Zhao, Peng Guo, Kai Liu, Benyun Liu, Jinglong Tong, Xinyuan Li, Xinjie Yue, Caipeng Wang, Siwei Ma, Tan Shen, Tong Shandong Electric Power Research Institute State Grid Corporation of China Jinan250002 China State Grid Jinan Electric Power Company State Grid Corporation of China Jinan250002 China

ISBN: (纸本)9798350309614

The limited space health intelligence sensing program is developed, the main function is to coordinate the startup and work of each hardware module, and obtain and transmit the monitoring data of operators. By using fuzzy, neural network analysis, topology analysis and other models, the monitoring parameters are counted, analyzed and cross-verified to predict the risk level. This paper calculates, predicts and evaluates the limited space threshold, personnel or equipment moving track and location, intelligent perception terminal displays and evaluates the safety status of the job site, personnel, equipment, etc., in real time, to realize the rapid disposal of emergencies and the rapid implementation of emergency rescue. © 2023 IEEE.

关键词： burn computer master control program programming programming language

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Optimal automatic Generation control in Multi-Area Power Systems with Diverse Energy Sources

Optimal Automatic Generation Control in Multi-Area Power Sys...

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international conference on Energy, Material sciences and Mechanical engineering, EMSME 2020

作者： Kumar, Ashwini Singh, Omveer Department of Electrical Engineering School of Engineering Gautam Buddha University Uttar Pradesh Greater Noida201308 India

ISBN: (纸本)9789811614750

This research work for optimal automatic generation control (AGC) of two area and four area power systems with diverse energy sources tuned with area control error (ACE) and brief summary of gray wolf optimization technique (GWO) in comparisons with particle swarm optimization (PSO), and firefly optimization are shown. This system establish connection for power systems as extended as thermal, diesel, nuclear, and many more sources interconnected with hybrid resources like solar power, wind energy, hydro power, electric vehicles, micro-grid, and smart grid. The interconnection of different sources with two areas, multi area and tie-line control with several controlling algorithms and soft computing techniques discussed. Paper has a decent work for related work and provides the simulation result to fulfill its objective also prepare it for future exploration with AGC in HVDC-AC link. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electric vehicles

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System Identification-informed Transparent and Explainable Machine Learning with Application to Power Consumption Forecasting

System Identification-informed Transparent and Explainable M...

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2023 international conference on electrical, Computer, Communications and Mechatronics engineering, ICECCME 2023

作者： Wei, Hua-Liang Dept. Automatic Control and Systems Engineering The University of Sheffield Sheffield United Kingdom Energy Institute The University of Sheffield Sheffield United Kingdom Centre of Machine Intelligence The University of Sheffield Sheffield United Kingdom Centre for Signal Processing and Cpmplex Systems The University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9798350322972

System identification (SysID) is the art and science of dealing with dynamic data modelling problems from systems science perspectives. It has been an active field and is still very active today, due to its wide range of applications, especially its basic principles of finding transparent, interpretable and parsimonious models for different purposes. The past decades have witnessed the explosive growth in machine learning (ML) and its applications in all areas of science and engineering. Meanwhile, there has been an increasing demand for the development of transparent, explainable and/or interpretable ML models. This paper proposes a new framework for developing System Identification-informed Transparent and Explainable MAchine Learning (SITEMAL) models. A case study, involving a real power consumption dataset, is presented to demonstrate the application of the proposed modelling framework and its performance for power consumption forecasting. © 2023 IEEE.

关键词： Electric power utilization

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