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检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15474 条记录，以下是101-110 订阅

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Tracking in Multi-Robot Systems with Non-Holonomic Constraints and Obstacle Avoidance 20

Tracking in Multi-Robot Systems with Non-Holonomic Constrain...

引用

20th international conference on electrical engineering, computing science and automatic control, CCE 2023

作者： Ruiz-Fernández, L. Enrique Ignacio Parra-Vilchis, J. Ruiz-Leon, Javier Gomez-Gutierrez, David CINVESTAV Dept. of Electrical Engineering Guadalajara Mexico Intel Tecnología de México Intelligent Systems Research Lab Zapopan Mexico

ISBN: (纸本)9798350306767

In this article, we study an enhanced application for subject-tracking problems with multi-robot systems that allows the unrestricted movement of a subject of interest while ensuring all the robots consistently track and maintain a clear view of the subject. A formation control technique is proposed in order to solve the multi-robot tracking problem by regulating the relative positions between the robots and the subject. The challenge arises from considering Differential Drive Robots (DDRs), which have non-holonomic constraints. A rotational camera compensates for the robots' movements to keep the subject in view at all times. Furthermore, potential fields are integrated to avoid collisions between robots and external obstacles that may be present in the environment. The proposed methodology is validated through simulations, demonstrating its effectiveness. © 2023 IEEE.

关键词： Multipurpose robots

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Lightweight Parallel CNN To Classify COVID-19 Associated Pneumonia From Chest X-Ray 20

Lightweight Parallel CNN To Classify COVID-19 Associated Pne...

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20th international conference on electrical engineering, computing science and automatic control, CCE 2023

作者： Kibria, Hafsa Binte Hossain, Md. Ali Rajshahi University of Engineering & Technology Department of Electrical & Computer Engineering Rajshahi6204 Bangladesh Rajshahi University of Engineering & Technology Department of Computer Science & Engineering Rajshahi6204 Bangladesh

ISBN: (纸本)9798350306767

The global outbreak of the novel Coronavirus disease (COVID-19) has impacted millions of individuals, leading to widespread health, economic, and social consequences. Additionally, the overwhelming number of COVID-19 cases has strained healthcare facilities, underscoring the crucial need for timely and accurate detection of infected individuals to mitigate the pandemic's impact. Inspired by the fact that existing deep learning models often rely on millions of parameters, rendering them unsuitable for resource-constrained devices, we developed a lightweight Parallel Convolutional Neural Network (PCNN) in this research. The model addresses the necessity for efficient COVID-19 pneumonia diagnostics from chest X-ray images by significantly reducing the number of parameters, resulting in a notable accuracy of 99.25% with 313k parameters. To further reduce parameters, separable convolution blocks were introduced, yielding an accuracy of 99.21% with 224k parameters. Despite their lightweight nature, our model demonstrates competitive performance compared to heavyweight models, emphasizing an accuracy rate of 99.21%. By minimizing computational costs and memory requirements, our model offers a cost-effective solution that can be effortlessly deployed on devices with limited resources. © 2023 IEEE.

关键词： COVID-19

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control of an Underactuated Mechanical System with Reinforcement Learning Compensation 20

Control of an Underactuated Mechanical System with Reinforce...

引用

20th international conference on electrical engineering, computing science and automatic control, CCE 2023

作者： Hernandez, Ruben Garcia-Hernandez, Ramon Jurado, Francisco Tecnológico Nacional de México I.T. la Laguna División de Estudios de Posgrado e Investigación Coah. Torreón Mexico

ISBN: (纸本)9798350306767

In recent years, reinforcement learning (RL) algorithms have exhibited significant potential in controlling underactuated mechanical systems, offering a distinct approach from conventional control theory. However, RL agents trained in nominal environments may experience performance degradation when confronted with external disturbances. This work investigates the impact of combining the learned policy of a RL agent with a feedback linearization (FL) controller to compensate the nonlinearities and parametric uncertainties in order to stabilize the Furuta pendulum. This hybrid control scheme enhances the robustness of the acquired policy. Through numerical simulations, we compare the proposed scheme with an approach based on FL with adaptive neural compensation (ANC), revealing superior performance in the presence of external disturbances when RL-based compensation is used. © 2023 IEEE.

关键词： Feedback linearization

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An automatic Detection of Counterfeit or Damaged Indian Rupee Notes 15

An Automatic Detection of Counterfeit or Damaged Indian Rupe...

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15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Deepak, N.R. Pal, Simran R. Yasmeen, Nikhat Amin, Omar Ismail Sahu, Ankit Kumar Suhas, G.K. Department of Computer Science Engineering Atria Institute of Technology Karnataka Bengaluru India Department of Computer Science Engineering HKBK College of Engineering Karnataka Bengaluru India Department of Information Science Engineering Akshaya Institute of Technology Karnataka Tumkur India

ISBN: (纸本)9798331300579

Every year in India, the Reserve Bank of India (RBI) deals with the issue of counterfeit currency *** employees are highly educated to detect counterfeit notes, however the trouble comes when such notes are used blended into the market and distributed via common channels *** counterfeit notes from ATMs is also a *** also been observed in several *** the past, In the last few years, as a result of incredible technological. © Grenze Scientific Society, 2024.

关键词： Fake Currency RBI

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Semi-automatic grafting machine prototype for tomato seedlings 20

Semi-automatic grafting machine prototype for tomato seedlin...

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20th international conference on electrical engineering, computing science and automatic control, CCE 2023

作者： Olivar-Jiménez, Claudia Victoria Aguilar-Orduna, Mario Andrés Sira-Ramírez, Hebertt José Cinvestav-IPN Electrical Engineering Department Mexico City Mexico

ISBN: (纸本)9798350306767

Grafting is an important technique in tomato production for improving crop productivity and disease resistance. However, the manual grafting process is time-consuming and labor-intensive. This study presents the development of an automated grafting machine prototype for tomato seedlings to enhance efficiency and graft quality. The prototype incorporates control techniques to perform precise and efficient grafting. Preliminary results indicate that the automated grafting machine could outperform the manual method, reducing the time required for grafting and increasing the overall efficiency and production capacity of a human grafter. This study highlights the potential of automation in tomato grafting, offering a promising solution to enhance crop productivity, reduce labor dependency, and improve sustainability in tomato production. In further work, tests and evaluations will be performed using commercially cultivated tomato seedlings, comparing graft success rates, process duration, and graft quality between the automated machine and the manual method. © 2023 IEEE.

关键词： Efficiency

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Development of a web system with an automated question generator based on large language models 11

Development of a web system with an automated question gener...

引用

11th international conference on electrical, Electronic and computing engineering, IcETRAN 2024

作者： Hrvačević, Luka Cincović, Jelica Milaković, Adrian Jocović, Vladimir Matveiev, Valerijan Drašković, Dražen University of Belgrade School of Electrical Engineering Belgrade Serbia

ISBN: (纸本)9798350386998

In this paper, we describe the possibility of using large language models (LLMs) in education through the development of a modern web system. A web-based platform employing LLMs to produce questions and answers spanning diverse domains, drawing upon Serbian Wikipedia as its primary knowledge repository. Leveraging LLMs for question-and-answer generation represents a novel methodology in quiz development. Additionally, incorporating Wikipedia enhances the accuracy and pertinence of the generated questions, thereby enriching the overall user experience. © 2024 IEEE.

关键词： automatic question generators knowledge quiz large language models

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Multi-label Bengali Abusive Comments Classification using Problem Transformation Method 20

Multi-label Bengali Abusive Comments Classification using Pr...

引用

20th international conference on electrical engineering, computing science and automatic control, CCE 2023

作者： Khan, Tahsin Tasnia Hassan, Abid Ahamed, Md Faysal Islam, Samiul Rajshahi University of Engineering & Technology Dept. of Electrical & Computer Engineering Rajshahi Bangladesh North South University Dept. of Electrical & Computer Engineering Dhaka Bangladesh International Standard University Dept. of Computer Science & Engineering Dhaka Bangladesh

ISBN: (纸本)9798350306767

Sentiment analysis on the Bengali language is limited to binary and multi-class classifications. This paper focuses on the multi-label classification of the Bengali abusive social media comments dataset having 10220 rows of different social media negative comments using the problem transformation method. The texts are categorized into five labels: toxic, threat, obscene, insult, and racism. Three different multi-label approaches: Binary Relevance, Label Powerset, and Classifier Chain combined with three popular machine learning algorithms: Multinomial Naive Bayes, Random Forest, and Logistic Regression are implemented in this research. This study evaluates the performance of these models by applying them to various classification scenarios, considering five-label, four-label, three-label, and two-label classifications independently. Our research outcomes are evaluated with some performance indicators: Accuracy, Precision, Recall, F1-Scores, Confusion matrix, Macro-average, and Hamming score. The combination of Label Powerset and Logistic Regression outperformed the other two classifier-model combinations because of their quick adaptation to the dataset with an accuracy of 88.07% for five label classifications, 90.12% for four label classifications, 90.56% considering three label classifications and 92.67% for two label classification individually. With 88.07% accuracy, the Label Powerset with Logistic Regression approach can be applied to classify five types of sentiment in a single text. © 2023 IEEE.

关键词： Classification (of information)

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Automated Biological Analysis System: Integration of Chatbots and Edge computing 26

Automated Biological Analysis System: Integration of Chatbot...

引用

2024 IEEE international conference on Automation/26th Congress of the Chilean Association of automatic control, ICA-ACCA 2024

作者： Reveco-Toledo, Florencia Soto, Ismael Garcia, Veronica University of Santiago of Chile C.I.M.T.T. Department of Electrical Engineering Santiago Chile University of Santiago of Chile C.E.C.T.A. Department of Food Science and Technology Santiago Chile

ISBN: (纸本)9798350378115

This article presents an automated system for counting and analyzing biological samples, integrating edge computing, computer vision, and Natural Language Processing (NLP) through a chatbot interface. The system processes biological samples locally using advanced image processing techniques, reducing latency and improving the accuracy of results. Additionally, the system allows for remote user interaction via a natural language interface and stores spatiotemporal data in the cloud for enhanced management. The system achieves a 6 5 % success rate in Colony-forming unit (CFU) detection and 85% in RFID/QR label recognition, with identified areas for improvement in image quality and standardization. © 2024 IEEE.

关键词： Natural language processing systems

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Research on Reliability of automatic control of Intelligent Robot 13th

Research on Reliability of Automatic Control of Intelligent ...

引用

13th international conference on Frontier computing, FC 2023

作者： Zihan, Wang Robot Engineering School of Electrical Information Southwest Petroleum University Sichuan Chengdu610000 China

ISBN: (纸本)9789819995370

The research on automatic control reliability of intelligent robots is a research project carried out by the Institute of automatic control, Chinese Academy of sciences in recent years. The main purpose is to study the reliability and robustness of the intelligent robot control system. In this paper, we will focus on the design and analysis of reliable and robust controllers for intelligent robots. We also discussed some practical applications related to our work. In this paper, aiming at the problems of frequent maintenance and low work efficiency caused by the accuracy of automatic robots in the actual working environment, the calculation method of automatic control reliability of intelligent robots is studied. Starting from the use of tools for mechanical accuracy reliability analysis, analyze the calculation process of mechanical motion reliability, establish a virtual prototype, and discuss the variables. The experimental results show that the reliability calculation method of robot automation designed in this paper is effective. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Intelligent robots

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PLC & SCADA For Efficient Load Management And Fault Monitoring

PLC & SCADA For Efficient Load Management And Fault Monitori...

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2024 IEEE international Students' conference on electrical, Electronics and Computer science, SCEECS 2024

作者： Rajput, Rushikesh A. Nikam, Devyani S. Bhowmick, Debraj Sanjivani College of Engineering Department of Electrical Engineering Maharashtra Kopargaon India

ISBN: (纸本)9798350348460

This paper presents a real-time prototype design and implementation of an automatic control system for the supply of electrical loads. The system utilizes a Programmable Logic controller (PLC) in conjunction with Supervisory control and Data Acquisition (SCADA) to ensure continuous power supply by dynamically switching between different sources based on priority. The prioritization scheme involves cutting off the least priority load in the absence of any one of the three power sources. The programming is accomplished through ladder logic, a graphical representation commonly used in PLCs. The communication between the PLC and SCADA is established to provide a centralized interface for fault monitoring and control. The proposed system has been physically implemented, demonstrating its effectiveness in industrial applications where uninterrupted power supply is crucial. The presented work contributes to the advancement of automation and control systems, offering a practical solution for managing and optimizing electrical loads in real-time scenarios. © 2024 IEEE.

关键词： automatic control System Automation Communication Framework electrical Load Management Fault Correction Fault Detection Industrial control Ladder Logic Load Prioritization Priority Loads Programmable Logic controller (PLC) Real-time Operation Supervisory control and Data Acquisition (SCADA) System Health Monitoring Uninterrupted Power Supply

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