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Physics-Informed Machine Learning for UAV control

Physics-Informed Machine Learning for UAV Control

引用

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

作者： Carlos Alexander Osorio Quero Jose Martinez-Carranza Computer Science Department Instituto Nacional de Astrofísica Optica y Electrónic a (INAOE) Puebla Mexico

ISBN: (数字)9798350377545

ISBN: (纸本)9798350377552

The integration of Dynamic Mode Decomposition (DMD) control with Physics-Informed Neural Networks (PINNs) offers a novel approach to enhancing UAV quadcopter control systems. This method leverages DMD techniques and PINNs to solve the Riccati equation, which is essential for precise UAV position estimation. By framing the UAV control problem within physics-based constraints, the approach ensures that the learned models adhere to the physical laws governing UAV dynamics. Utilizing a comprehensive dataset-including UAV flight parameters such as position, velocity, and control inputs-DMD extracts fundamental dynamic modes from the data, providing a reduced-order representation that captures the dominant UAV dynamics. This reduced representation is then incorporated into the PINN framework to accurately solve the Riccati equation. The combination of DMD and PINNs results in a robust control strategy that significantly improves position estimation accuracy and optimizes control performance. Real-time validation of this method was conducted in a Unity-based physics simulation environment, incorporating factors like gravity and perturbation noise. The results demonstrate substantial improvements in estimation accuracy and control stability compared to traditional methods.

关键词： Accuracy Riccati equations Noise Neural networks Estimation Autonomous aerial vehicles control systems Stability analysis Trajectory Vehicle dynamics

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FMDT: A Face Mask Detection Technology for Pandemic Outbreaks 14

FMDT: A Face Mask Detection Technology for Pandemic Outbreak...

引用

14th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2023

作者： Muhsina, V.P. Babu, Prathewsh S. Menon, Hema P. Vinayak, M.K. Department of Computer Science and Engineering Sreepathy Institute of Management & Technology Vavanoor Koottanad Kerala Palakkad India

The use of face mask has become a part of the normal life since the rise of Covid-19 pandemic. This period has also seen the difficulties faced by law enforcement officials. This work aims to develop a face mask detection system which would help officials to make people abide by the rules and regulations. The devised system will help the automatic identification of the presence or absence of a mask. Accordingly, the person without mask will be highlighted and alarm raised. Such a system would be helpful for government & private sectors in law enforcement and also to get a consolidated idea on number of people breaking the norms. The Sequential Convolutional Neural Network model has been used for the training and detection of the absence or presence of a face mask. © Grenze Scientific Society, 2023.

关键词： Law enforcement

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Unraveling the Complex Interplay Between Socioeconomic Status, Air Pollution, and Heart Disease Hospitalizations in an Urban Population

Unraveling the Complex Interplay Between Socioeconomic Statu...

引用

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

作者： Carlos Minutti-Martinez INFOTEC Center for Research and Innovation in Information and Communication Technologies Aguascalientes Mexico

ISBN: (数字)9798350377545

ISBN: (纸本)9798350377552

Cardiovascular diseases (CVDs) remain the leading cause of global mortality, with significant contributions from ischemic heart disease and stroke. This study explores the multifaceted risk factors for heart disease hospitalizations in Mexico City, focusing on socioeconomic status (SES) and air pollution. Using a dataset of 11,031 hospitalization records from 2015 to 2020, we employ negative binomial regression and Gradient Boosting Machine (GBM) models to analyze the effects of economic and social SES components, as well as air pollution indices, on the frequency and severity of hospitalizations. Our results reveal that both economic and social aspects of SES, alongside exposure to particulate matter and carbon monoxide, significantly impact hospitalization rates for various heart disease categories. The study highlights that socioeconomic disparities and environmental pollution are crucial determinants of cardiovascular health, emphasizing the need for targeted public health policies and interventions in urban settings. By integrating detailed SES indicators and pollution data, our findings provide a nuanced understanding of the complex relationships influencing heart disease hospitalizations.

关键词： Heart Urban areas Focusing electrical engineering computing Air pollution Carbon monoxide Cardiovascular diseases Socioeconomics Public healthcare Diseases

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Hardware Architecture for the SHA-3 Family in Crystals-Kyber: Post-Quantum Cryptography

Hardware Architecture for the SHA-3 Family in Crystals-Kyber...

引用

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

作者： Adriana Pérez-Navarro Brisbane Ovilla-Martinez Departamento de Computación Cinvestav Mexico City Mexico

ISBN: (数字)9798350377545

ISBN: (纸本)9798350377552

With the immediate advances in quantum computing, standard public key cryptosystems are expected to become obsolete. For this reason, Post-Quantum Cryptography (PQC) emerges as a new area of research for developing cryptographic systems that are resistant to conventional and quantum attacks. It could thus replace traditional public-key cryptographic solutions. This work describes the design hardware implementation of one of the most critical components in the NIST-PQC standard, CRYSTALS-KYBER. The symmetric primitives used in CRYSTALS-KYBER: SHA3-256, SHA3-512, SHAKE-128, and SHAKE-256, all based on the Keccak permutation, are integrated as a parameterizable hardware module. The proposed design focuses on embedded systems with a constraint on resources and power consumption and is implemented on a Xilinx Field Programmable Gate Arrays Artix-7. The efficiency and performance of the proposed architecture are compared in terms of area, frequency, and clock cycles with the state of the art.

关键词： Resistance Quantum computing Power demand Computer architecture Logic gates Public key cryptography Hardware Cryptography Standards Field programmable gate arrays

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Enhancing Tomato Leaf Disease Classification with Augmentation Techniques in Deep Learning 14th

Enhancing Tomato Leaf Disease Classification with Augmentati...

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14th international conference on Frontier computing, FC 2024

作者： Debnath, Anik Gil, Joon-Min Byun, Yung-Cheol Department of Computer Engineering Jeju National University Jeju63243 Korea Republic of Department of Computer Engineering Major of Electronic Engineering Inistitute of Information Science and Technology Jeju National University Jeju63243 Korea Republic of

ISBN: (纸本)9789819623945

Tomato leaf diseases pose a significant threat to crop yield and agricultural productivity. Addressing the challenge of automatic detection and classification of diseases found in tomato leaves through the utilization of Convolutional Neural Networks (CNNs), a subset of deep neural networks. Initially, the dataset is augmented to address the issue of limited labeled data, employing traditional data augmentation methods to balance and enlarge the dataset. Exploring the effectiveness of various fine-tuned pre-trained models, including VGG-16, VGG-19, InceptionV3, EfficientNetB7, and ResNet-50 for classifying tomato leaf diseases. Ten common diseases affecting tomato leaves are classified, with the dataset expanded fourfold through data augmentation. Experiments demonstrate that the ResNet-50 model achieves the highest accuracy of 96.15% in disease classification. Through a detailed analysis, evaluating the performance of each technique and providing insights into their effectiveness for enhancing disease classification in tomato plants. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Fruits

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Design of Airborne Bus Communication Platform based on Isomorphic Dual Redundancy Channels 7

Design of Airborne Bus Communication Platform based on Isomo...

引用

7th international conference on electrical, Mechanical and Computer engineering, ICEMCE 2023

作者： Wang, Xiaohang Xu, Kangfa Xu, Yaxing Xi'an Aeronautics Computing Technique Research Institute Avic Aviation Key Laboratory of Science and Technology on Airborne and Missle-borne Computer Xi'an China

ISBN: (纸本)9798350382877

In order to solve the problem of low reliability of airborne bus communication platforms under limited volume, weight, power consumption, and computing power in airborne environments, the design scheme of the airborne bus communication platform was completed by demonstrating the software and hardware architecture of isomorphic dual redundancy channels. This design scheme first analyzes the usage scenarios and requirements indicators of the airborne bus communication platform, standardizes the design process based on the analysis indicators, and then designs a hardware architecture based on isomorphic dual redundancy channels according to the requirements and application environment of the design scheme. Finally, it focuses on the data interaction characteristics between the airborne product and the upper computer, Complete the design of dual redundancy data intelligent control software from the perspective of dual channel data flow and channel fault switching. Simulation examples show that this solution effectively solves the problems of high fault reporting rate and excessive resource redundancy in traditional equipment, and significantly improves the reliability of massive data transmission and reception in airborne environments. © 2023 IEEE.

关键词： Redundancy

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A Secured and Lightweight Document Handling Procedure Using Blockchain Assisted Decentralized Data Manipulation Strategy

A Secured and Lightweight Document Handling Procedure Using ...

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2024 international conference on Innovative computing, Intelligent Communication and Smart electrical Systems, ICSES 2024

作者： Geetha, T. Sowmiya, G. Priscilla, M. Jayanthi, J. Raut, S.P. Kanan, Mohammad Vinayaka Missions Kirupananda Variyar Engineering College Vinayaka Missions Research Foundation Deemed to be University Department of Cse Salem India Jeppiaar Institute of Technology Department of Ece Chennai India S.A. Engineering College Department of Ece Chennai India Sona College of Technology Department of Computer Science and Engineering Salem India Yeshwantrao Chavan College of Engineering Department of Civil Engineering Maharashtra Nagpur India College of Engineering University of Business and Technology Department of Industrial Engineering Jeddah21448 Saudi Arabia College of Engineering Zarqa University Department of Mechanical Engineering Zarqa Jordan

ISBN: (纸本)9798331543617

Managing data encompasses gathering, analyzing, storing and disseminating information. These days, multi-partner firms can't function without data sharing and collaborative data processing, which are essential for finding fresh insights. The majority of the time, institutions share data for institutional decision-making, advertising, and marketing purposes. The problem is that organizations share the data obtained, which mostly concerns individuals called data subjects or producers, without obtaining their meaningful consent. This means that those whose data is being used or misused have no idea what's going on. Data subjects also have little control over who outside organizations can access their information. In this work, we argued that data management should aim to gain the confidence of people whose information is being processed. Data subjects should be able to access and understand their data in order to do this. Lightweight Decentralized Data Manipulation Strategy (LDDMS) is a cloud-based data management and sharing platform that allows data subjects to choose who may access their data and consent to its collection and utilization using smart contracts. In order to determine how effective the suggested method is, it is cross-validated with the standard document processing technique known as Intelligent File Handling System (IFHS). Database mismatches are a common problem, but this method fixes them. The reliability and accuracy of data management are greatly enhanced by our system's exceptional performance in critical areas including data security, information verification, and error traceback. We provide a robust LDDMS as a future-proof answer to the problem of safe and effective educational data management. © 2024 IEEE.

关键词： Decentralized finance

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Surface defect detection of burr cylinder liner based on 3D vision 4

Surface defect detection of burr cylinder liner based on 3D ...

引用

4th international conference on Image Processing and Intelligent control, IPIC 2024

作者： Chen, Yongbin Yu, Long Zhang, Zhijun Guangdong Mechanical and Electrical Polytechnic Guangzhou510000 China Guangzhou Baiyun Electric Equipment Co. Ltd. Guangzhou510000 China South China University of Technology Guangzhou510000 China

ISBN: (纸本)9781510682313

Cylinder liner is one of the important parts of engine. The quality of cylinder liner directly affects the safety and energy consumption of engine. Most of the dimensional inspection of cylinder liner has been automated, but the surface defect inspection is still carried out by a large number of personnel. In recent years, researchers began to use image detection technology for surface defect detection, but the detection effect is still not widely used in industry. In this paper, it studies the burr cylinder liner, which is also a kind of difficult in the surface inspection of cylinder liner. The surface defects of the cylinder liner, such as pit, slag inclusion, residue, coarse burr, sparse burr. This paper mainly studies the surface defect detection of cylinder liner based on 3D vision. Experiments show that this method successfully realizes the automatic surface detection of cylinder liner, and is applied in the industrial field. © 2024 SPIE.

关键词： Inspection

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Pose Estimation and Its Impact on Quadcopter control: An Experimental Study 9

Pose Estimation and Its Impact on Quadcopter Control: An Exp...

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9th international conference on Applying New Technology in Green Buildings, ATiGB 2024

作者： Nguyen, Minh-Quan Tran, Van-Ho Vo, Minh-Tai Le, My-Ha Faculty of International Education Ho Chi Minh City Viet Nam Ho Chi Minh City University of Technology and Education Intelligent Systems Laboratory Ho Chi Minh City Viet Nam Rmit University Vietnam School of Science Engineering & Technology Ho Chi Minh City Viet Nam Ho Chi Minh City University of Technology and Education Faculty of Electrical and Electronics Engineering Ho Chi Minh City Viet Nam

ISBN: (纸本)9798331505042

Autonomous quadcopter control based on computer vision has become one of the popular research methods. However, challenges persist due to constraints in processing speed and memory associated with embedded edge computing, thereby limiting accuracy and real-time performance. In this study, we introduce a novel gesture controlled autonomous quadcopter system capable of achieving high accuracy in real-time scenarios. Firstly, the Lightweight OpenPose method is employed to extract gesture sequences. Secondly, we propose a gesture classifier based on the SimVP architecture. In order to validate our approach, we conduct an evaluation using a generated dataset, followed by testing in a real-world environment. Results of our evaluation and experiments demonstrate the effectiveness of the proposed method. © 2024 IEEE.

关键词： Embedded systems

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Design of 32 Bit RISC V Processor 15

Design of 32 Bit RISC V Processor

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Meeradevi, T. Mohanraj, K. Mourissh, B.M. Santhosh Sivaa, V. Samikannu, Ravi Sasikala, S. Kongu Engineering College Department of ECE Perundurai Erode India International University of Science and Technology Department of Electrical Computer and Telecommunications Engineering Palapye Botswana

ISBN: (纸本)9798350370249

This paper presents the design and implementation of a RISC-V processor core with a single-stage architecture, focusing on the execution of the base 32I instruction set. The processor core features a 32-bit address and data architecture, with 32 general-purpose registers for data manipulation. The design adheres strictly to the RISC-V ISA specifications, ensuring compatibility with existing software and toolchains. Key components of the processor core include a fetch unit, decode unit, ALU unit, register file, memory control unit, and instruction memory unit. Through rigorous design and simulation, the processor core achieves single-clock-cycle execution, enabling efficient processing of instructions at an operating frequency of 2.2 KHz. The instruction memory unit facilitates the retrieval of instructions from a 4.5 KB memory array, while simultaneous read and write capabilities are supported for both registers and data memory. Additionally, 13 pseudo-instructions have been incorporated to enhance programming ease and readability. Performance evaluation of the processor core demonstrates its effectiveness in executing a variety of computational tasks, showcasing its reliability and efficiency within the specified operational parameters. The design serves as a foundation for future enhancements, including the integration of pipeline architecture, branch prediction mechanisms, and frequency optimization. © 2024 IEEE.

关键词： Memory management units

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