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RF Classification of UAVs Using MLP Model and Software Defined Radio 21

RF Classification of UAVs Using MLP Model and Software Defin...

引用

2024 ieee/ACS 21st International conference on Computer Systems and applications, AICCSA 2024

作者： Montassar, Abdenneji Delleji, Tijeni Slimeni, Feten Abid, Mohamed Ali Attia, Rabah The Military Academy of Fondouk Djedid Telecommunication Department Nabeul Tunisia Military Research Center Science and Technology for Defense Lab Aouina Tunisia Tunisia Polytechnic School Lab of Electronic Systems and Communications Networks Marsa Tunisia

ISBN: (纸本)9798331518240

The use of commercial off-the-shelf (COTS) drones has been exponential growth, whether for leisure or professional purposes. In addition to the beneficial applications, they recently raised security threats for critical and strategic sites such as nuclear power plants, airports, and stadiums. Therefore, the need to detect these targets becomes essential for national security. The chosen approach is based on the detection of the RF signal related to the remote control (RC) link of the drone system using software-defined radio (SDR). The RF fingerprints are then extracted, we have considered the standard deviation (std), kurtosis, skewness, and Peak-to-Average Power Ratio (PAPR). These features and used for classification based on a customized Multi layer perceptron (MLP) model to identify the detected target. © 2024 ieee.

关键词： Drones

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An Algorithm for Cooperative Navigation Using Neural Network to Identify Colored Noise Online

An Algorithm for Cooperative Navigation Using Neural Network...

引用

2024 ieee International conference on Unmanned Systems, ICUS 2024

作者： Sheng, Danting Cheng, Jin Li, Fengyi Hao, Mingrui Beijing Electro-mechanical Engineering Institute CASIC Beijing China HIWING Technology Academy of CASIC CASIC Beijing China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation CASIC Beijing China

ISBN: (纸本)9798350384185

In practical applications of cooperative navigation algorithms based on Kalman filtering, noise is often colored noise, which does not meet the requirement of Gaussian white noise for Kalman ***, an algorithm is proposed to identify and compensate for colored noise online using a BP neural ***, a cooperative navigation model based on Kalman filtering is ***, by studying the update process of Kalman filtering, the neural network is incorporated into the prediction calculation of the observations, following the online learning and updating of the Kalman *** simulations show that under conditions of colored noise, the results of the Kalman filter ***, after correction by the BP neural network, the filtering converges, providing high reference value for improving the accuracy of cooperative navigation. © 2024 ieee.

关键词： Wiener filtering

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A Fuel-Cell Driven Brushless-Direct Current Electric Motor Drive for Green Transport applications 3

A Fuel-Cell Driven Brushless-Direct Current Electric Motor D...

引用

3rd ieee International conference on Electrical Power and Energy Systems, ICEPES 2024

作者： Shukla, Tanmay Ansari, Aftab Ahmed Mishra, Neelam Ansari, Anwar Ahamed Patidar, N.P. Barode, Shyam Kumar Maulana Azad National Institute of Technology Department of Electrical Engineering Bhopal India Bansal Institue of Research and Technology Electrical & Electronics Engineering Department Bhopal India

ISBN: (纸本)9798350390728

Over the last several decades, fuel cells, or FCs, have garnered a lot of attention in the automobile sector due to their simplicity of use, quiet operation, exceptional performance, and modular architecture. In this article, a solid oxide fuel cell (SO-FC) powered brushless DC electric motor (BLDCEM) drive is presented for green transport applications. The BLDCEM drive model uses a Cuk converter in between SO-FC and voltage source inverter (VSI) -fed BLDCEM. The discontinuous inductor current (DIC) mode control is used in this work to maintain constant DC-link voltage. The discontinuous operation not only reduces the size of the converter's elements but also reduces the sensor requirements which lowers the system cost. The electronic commutation scheme is used to generate the gate pulse for VSI because of which the losses associated with moving elements are eradicated. The complete system is built on the MATLAB platform and results are discussed in detail. © 2024 ieee.

关键词： Solid oxide fuel cells (SOFC)

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Smart Intelligent control Application Using Quantum Computation and Machine Learning 2

Smart Intelligent Control Application Using Quantum Computat...

引用

2nd ieee International conference on IoT, Communication and Automation technology, ICICAT 2024

作者： Singh, Amit Ranjan, Roop Kapil, Alok Govil, Ravi Raghav, Prabhat Institute of Technology & Science Department of Computer Application Ghaziabad India Budhha Institute of Technolgy Department of Computer Science & Engg. Gorakhpur India Deptt. of Computer Science & Engg. Ghaziabad India

ISBN: (纸本)9798350368109

Machine learning (ML) is significantly transforming and modernizing urban areas by enhancing service quality across various sectors such as transportation, security, robotics, healthcare, energy, and finance."Even with their overwhelming success, machine learning (ML) algorithms still require significant computational work with fast computer hardware in order to handle model complexity and guarantees that result in effective, dependable, and robust solutions. Regarding cyber security and digital protection, quantum computing (QC) is a formidable contender to assist machine learning (ML) systems achieve optimal performance. "This research aims to develop the Quantum Adaptive Neuro-Fuzzy Inference System (QANFIS) model for detecting distributed denial of service attacks in smart control applications. The usefulness of our proposed model is demonstrated by evaluating it against an actual dataset of denial of service attack incidents. Lastly, various unresolved problems and difficulties with fitting ML with QC are discussed along with the findings. © 2024 ieee.

关键词： Adversarial machine learning

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An In-Depth Review of Revolutionizing Traffic control Systems Leveraging Software-Defined Networking (SDN) 14

An In-Depth Review of Revolutionizing Traffic Control System...

引用

14th Symposium on Computer applications & Industrial Electronics (ISCAIE)

作者： Fadila, Juniardi Nur Wahab, Nur Haliza Binti Abdul Ithnin, Nora Harun, Siti Zaleha Quan, Brandon Liew Yi Univ Teknol Malaysia Fac Comp Johor Baharu Malaysia

ISBN: (纸本)9798350348798;9798350348804

Traffic congestion greatly reduces efficiency and mobility in urban settings. Due to their reliance on set signal periods, traditional traffic signalization systems are unable to adequately handle the dynamic nature of road traffic. This study presents a novel adaptive traffic signaling system that makes use of the Quality of Service (QoS) methodology, which is commonly used in computer network traffic management. Using a "traffic of interest" number to priorities roads, this technology dynamically modifies the duration of green lights to reflect current traffic circumstances. In order to ensure timely and effective traffic management, important factors such queue length, vehicle count, travel speed, and the presence of Emergency Vehicles (EmVs) are integrated into the system. EmV prioritization is a unique feature of the system that improves its functionality. According to preliminary findings (or simulations), there is a great deal of promise for easing traffic congestion and enhancing flow. The results of this study could completely change urban traffic management by providing a scalable and effective answer to a common urban problem.

关键词： software definednetwork (SDN) traffic networks congestion adaptive traffic signal transportation

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control oriented modeling of integrated catalyst and membrane degradation in PEM fuel cells

Control oriented modeling of integrated catalyst and membran...

引用

Transportation Electrification conference and Expo (ITEC)

作者： Touil, Walid Li, Zhongliang Outbib, Rachid Hissel, Daniel Jemei, Samir Univ Aix Marseille CNRS LIS LAB Fac Sci Marseille France Univ Franche Comte CNRS FEMTO ST FCLAB Belfort France Inst Univ France Paris France

ISBN: (纸本)9798350317671;9798350317664

Polymer exchange membrane (PEM) fuel cell technology is promoted as a zero-emission alternative for transportation. Nevertheless, the challenge of extending the lifespan of fuel cell components persists as a significant obstacle, particularly in the context of transportation applications. This challenge can be better addressed by optimal control of operating conditions. Advancing optimal control strategies to prolong fuel cell lifespan requires a precise degradation model capable of accurately forecasting performance declines in real-world operating conditions. In this study, we introduce an innovative modeling framework comprising a multiphysics model and a fuel cell degradation model. The latter covers the degradation of the catalyst layer and the membrane, which are two critical components of PEM fuel cells. In the model, the catalyst degradation considers various factors that influence the electrochemical surface area, while the membrane degradation characterizes the evolution of the remaining membrane thickness. Meanwhile, the multiphysics model discerns the internal states of the fuel cells, which are crucial for evaluating degradation trends, and continuously updates the fuel cells' performance based on feedback from the degradation model. The coupling between these two models allows for the prediction of multiple degradation processes, including the losses attributed to each component under diverse operating conditions. The model was validated using experimental data from accelerated stress tests.

关键词： PEM fuel cell Degradation modelling Durability enhancement control Membrane degradation Catalyst degradation

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Application of the YOLOv8 Model to a Fruit Picking Robot 2

Application of the YOLOv8 Model to a Fruit Picking Robot

引用

2nd ieee International conference on control, Electronics and Computer technology, ICCECT 2024

作者： Gu, Yicheng Hong, Ruicong Cao, Yonghu East China University of Science and Technology Shanghai China

ISBN: (纸本)9798350380958

Due to the current labor shortage in fruit picking, the utilization of robots for harvesting has become crucial in addressing this issue. This paper presents two key models, an apple image recognition model and an apple image recognition classification model, both based on Yolov8. These models are specifically designed and trained to be implemented in apple picking robots. In Model1, the RGB color space was chosen, and the image data underwent preprocessing using Gaussian filtering. The training process utilized manually labeled data. Model 2, on the other hand, involved data grouping and training using the Yolov8 model, with a focus on optimizing the recognition results. The feasibility of these models was rigorously tested through extensive modeling experiments. This research not only offers a solution for the labor shortage in fruit picking robots but also demonstrates its wide-ranging potential in real-life applications and sales processes. Furthermore, the insights gained from this study can contribute to the advancement of automatic recognition and classification of other fruits, thereby fostering the intelligent development of fruit picking robots. © 2024 ieee.

关键词： Fruits

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Analysis of Serial Peripheral Interface 2

Analysis of Serial Peripheral Interface

引用

2nd ieee International conference on Measurement, Instrumentation, control and Automation, ICMICA 2023

作者： Patra, Aritra Saini, Lalit Mohan National Institute of Technology School of Vlsi and Embedded System Design Haryana Kurukshetra India National Institute of Technology Department of Electrical Engineering Haryana Kurukshetra India

ISBN: (纸本)9798350355048

Serial peripheral interface, a term originally coined by Motorola in the 1980s, serves as a protocol facilitating the communication of serial synchronous data between a master device, often a microcontroller, and various peripherals. These peripherals encompass a broad range, including EEPROMs (Electrically Erasable Programmable Read-Only Memory), sensors, cards and more. Functioning as a full-duplex serial protocol, SPI (Serial peripheral interface) involves transmission and reception of synchronous serial data. This document elucidates the operational intricacies and distinctive features of the SPI Interface Protocol, focusing on a configuration with one master and one slave. In this setup, master device orchestrates communication, dictating the timing and flow of data, while slave device responds to master's commands. Understanding working principles and characteristics of SPI is paramount for its effective implementation in diverse applications. © 2024 ieee.

关键词： Mice (computer peripherals)

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Adaptive Fuzzy Secure Consensus control of Nonlinear Multi-Agent Systems Under Deception Attacks

Adaptive Fuzzy Secure Consensus Control of Nonlinear Multi-A...

引用

2024 International conference on Fuzzy Theory and Its applications, iFUZZY 2024

作者： Bi, Yannan Ding, Pansheng Wang, Fei Wang, Tong Qiu, Jianbin Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150001 China

ISBN: (纸本)9798350352788

This paper investigates the secure consensus control problem for nonlinear multi-agent systems (MASs) under de-ception attacks. The main characteristic of the proposed secure consensus control method is its ability to mitigate undesirable system behaviors caused by deception attacks at the communication links among different agents. In particular, the relationship between the compromised signals and the output signals of MASs is analyzed. Furthermore, a novel Nussbaum function and an adaptive fuzzy law are respectively proposed to tackle the unknown control direction and to estimate the unknown terms caused by deception attacks. Simulation results are presented to demonstrate the validity of the proposed adaptive consensus secure control method. © 2024 ieee.

关键词： Multi agent systems

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A consensus approach to distributed balancing control of modular multilevel converters

A consensus approach to distributed balancing control of mod...

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ieee conference on control technology and applications (CCTA)

作者： Dreke, Victor Daniel Reyes Lazar, Mircea Eindhoven Univ Technol Dept Elect Engn Control Syst Grp Eindhoven Netherlands

ISBN: (数字)9781665473385

ISBN: (纸本)9781665473385

Modular multilevel converters (MMCs) are predominant in novel high and medium power applications, such as renewable energy generation and high-voltage direct-current transmission. This hardware offers better performance than other voltage-source-converters due to its higher efficiency, modular design and lower harmonic content. To achieve the expected results, it is essential to coordinate the actions of all the MMC modules using balancing control methods. Different from the previous solutions, this paper proposes a consensus control approach using a leader-follower topology to solve the balancing control problem for MMCs. The proposed control method guarantees asymptotic convergence of all modules to a consensus state, allows a distributed implementation and increases the robustness against module failures. Simulation results using Matlab show the advantages of the developed method.

关键词： Consensus control Distributed control Capacitor Balancing Voltage Modular Multilevel Converter

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