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Extended Pulsation Attack Against Kalman Filter Driven BLDC Motor Control System 13

Extended Pulsation Attack Against Kalman Filter Driven BLDC ...

引用

13th International Conference on Advanced computer Information Technologies, ACIT 2023

作者： Boiko, Yuri Kiringa, Iluju Yeap, Tet University of Ottawa Electrical Engineering and Computer Science Department OttawaON Canada

The extended version of the induced pulsation attackis introduced through modeling and simulation, targeting a closed-loop-controlled architecture of a Brushless DC (BLDC) motor driven by a Kalman filter. Previously, the induced pulsations in the attack were created by a constant gradient linear function of the distortion coefficient employed by the attacker. In the updated version, the attack persists even when interruptions are introduced to the linear growth of the distortion function, followed by resetting it. The objective of the presented study isto assess the potential for enhancing the attack's effectiveness through this modification. The resulted findings confirm thattransforming the constant gradient linear function into a saw-tooth pattern leads to periodic repetitions of induced pulsations. Consequently, the attack can be extended indefinitely. Moreover,the attacker gains greater control over attack outcome by utilizing additional parameters introduced through the saw-like functionality, such as frequency and amplitude of saw-function. The study demonstrates two advantageous synchroniza-tion modes with the saw-function for the attacker: (1) modulatingcurrent, voltage, and angular speed in phase with the saw-function, providing a stronger attack but reduced covertness;(2) synchronizing current and voltage patterns with the first sub-harmonic of the saw-function while maintaining fundamental harmonic pace for angular speed modulation, resulting in improved covertness and consistent mechanical strains. Extended pulsation attack signatures collected in current, voltage, and angular speed domains aid in early detection through pattern recognition methods. © 2023 IEEE.

关键词： Controllers

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A Low-Power Analog Integrated Gaussian-based Neural Network Classifier with Application to Hepatitis Disease Recognition

A Low-Power Analog Integrated Gaussian-based Neural Network ...

引用

2023 International Conference on Microelectronics, ICM 2023

作者： Alimisis, Vassilis Eleftheriou, Nikolaos P. Sotiriadis, Paul P. National Technical University of Athens Department of Electrical and Computer Engineering Greece

ISBN: (纸本)9798350380828

Hepatitis is a medical condition characterized by inflammation of the liver. It can be triggered by various factors, including viral infections, excessive alcohol consumption, specific medications, or autoimmune disorders. Recognizing hepatitis early is crucial in reducing its symptoms, as it allows for timely treatment. In this study, a low-power (4.31μW) and low-voltage (0.6V) analog artificial neural network classifier is introduced, utilizing a Gaussian-based activation function. The architecture comprises a hidden layer: with a Gaussian activation function circuit and tanh approximation, an output layer with a softmax function circuit, and an argmax operator. A comparative analysis is performed to evaluate the performance of this methodology against commonly used analog classifiers. To conduct this assessment, a real-world hepatitis dataset is employed. The models are trained and results processed using the Python programming language. The hardware design and result processing are executed using Cadence IC Suite, utilizing the TSMC 90nm CMOS process technology, demonstrating the practical applicability and effectiveness of this methodology. © 2023 IEEE.

关键词： Neural networks

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Exploring the Effectiveness of Different State Spaces and Reward Functions in Reinforcement Learning-based Control of a DC/DC Buck Converter 25

Exploring the Effectiveness of Different State Spaces and Re...

引用

25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe

作者： Ranjbaran, Parisa Shahnooshi, Shima Ebrahimi, Javad Bakhshai, Alireza Jain, Praveen Queen's University Department of Electrical and Computer Engineering Kingston Canada

ISBN: (纸本)9789075815412

The precise control of DC/DC buck converters is critical for achieving stability, efficiency, and reliability of power systems. Reinforcement learning (RL), a type of machine learning, has shown promising results in solving control problems in various domains. The proposed study aims to explore the potential of using RL techniques, specifically the deep deterministic policy gradient (DDPG) algorithm, to control DC/DC buck converters and to identify the optimal combination of state space and reward functions to achieve the best control performance for DC/DC buck converters. This is done by analyzing the performance of the control system and comparing different sets of state space and reward functions. The findings of this study have the potential to contribute to the development of improved control systems for power electronics. This research could ultimately lead to more efficient, stable, and reliable power systems. © 2023 EPE Association.

关键词： Deep neural networks

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Manifold Optimization for Data Driven Reduced-Order Modeling∗ 59

Manifold Optimization for Data Driven Reduced-Order Modeling...

引用

59th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2023

作者： Newton, Rachel Du, Zhe Balzano, Laura Seiler, Peter University of Michigan Department of Electrical Engineering and Computer Science United States

ISBN: (纸本)9798350328141

The focus of this paper is on data-driven reduced-order modeling. We assume a high fidelity, discrete-time model is available for simulation. The simulator allows state and output trajectories to be collected for any specified initial condition and input signal. An optimal reduced-order model (ROM) requires: (i) the selection of a lower dimensional subspace for the state of the ROM, and (ii) an optimal reduced-order state-space model (evolving on the lower dimensional subspace). A common heuristic is to: (i) select the lower-order subspace using proper orthogonal decomposition (POD), and (ii) use least-squares to fit the reduced-order state-space model on the POD subspace. We demonstrate the potential deficiencies of this heuristic via two simple examples. In order to address these deficiencies, we propose a novel method to optimize the choice of subspace using the Grassmann manifold. Finally, we show that our proposed manifold optimization empirically outperforms the POD heuristic on the two motivating examples and a planar wind farm model. © 2023 IEEE.

关键词： Optimization

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Insights on diagnostic signals in single-phase and three-phase induction motors in single-phasing fault 14

Insights on diagnostic signals in single-phase and three-pha...

引用

14th IEEE International Symposium on Diagnostics for electrical Machines, Power Electronics and Drives, SDEMPED 2023

作者： Minervini, Marcello Frosini, Lucia Meloni, Alberto De Tullio, Riccardo Mantione, Lorenzo University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia Italy

ISBN: (纸本)9798350320770

The aim of this paper is twofold. On the one hand, the applicability of the well-known diagnostic techniques, based on the motor current and stray flux signature analysis, has been experimentally tested both on small single-phase induction motors and on large on-field three-phase induction motors. On the other hand, the single phasing fault in three-phase induction motors, which has rarely been treated in the literature, has been experimentally analyzed and compared to the behavior of the single-phase motor, in order to find characteristic signatures of this fault. Time and frequency domain analyses were performed on current, axial and radial stray flux, and torque signals. The experimental study highlighted the following insights: i) classical motor current signature analysis cannot be easily applied to permanent-capacitor single-phase machines;ii) stray flux analysis reveals the presence of additional harmonic sidebands, even in healthy three-phase induction motors;iii) a rough analysis of the third harmonic in the current spectrum may be sufficient to diagnose the single phasing fault. © 2023 IEEE.

关键词： Induction motors

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Performance Inspection of a Compact 5G NR N260 (39 GHz) Band Array for Wireless Body Area Network 6

Performance Inspection of a Compact 5G NR N260 (39 GHz) Band...

引用

6th International Conference on electrical Information and Communication Technology, EICT 2023

作者： Arifur Rahman, H.M. Rahman, Saidur Khan, Mohammad Monirujjaman North South University Department of Electrical and Computer Engineering Dhaka Bangladesh

ISBN: (纸本)9798350370836

The study presents a novel microstrip array antenna structure for wireless body area network (WBAN), which operates in the n260 frequency band of 5G NR's frequency range 2 (FR2) region. The design has a very compact physical dimension consisting of four identical radiating elements connected in a cross-shaped arrangement. Initial free space simulation yields around 39 dB of return loss near 39 GHz and 6.42 dBi gain with an efficiency close to 70%. Further, on-body analysis was done by virtually making an artificial human body model comprising the skin, fat, and muscle layers and putting the antenna over the model at four distinct distances. Just as in free space, the antenna produces interesting results in on-body scenarios. Without significant deviation, the array remains active at 39 GHz with a considerably well RL value and a wide bandwidth. With an elevated gain of over 7 dBi and more than 70% efficiency, the "4 mm"separation from the human body seems to be the appropriate distance that needs to be maintained during WBAN applications. Considering these promising findings, this design could be researched further in the future to enhance its performance parameters. © 2023 IEEE.

关键词： Efficiency

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A Design of Antenna for UWB Application with Double Band-Notch Characteristics 5

A Design of Antenna for UWB Application with Double Band-Not...

引用

5th IEEE International Conference on Telecommunications and Photonics, ICTP 2023

作者： Alam, Sanwar Rahman, Atiqur North South University Department of Electrical and Computer Engineering Dhaka Bangladesh

ISBN: (纸本)9798350393477

This paper presents a new design of an antenna for UWB application covering the frequency range 3.1 - 10.6 GHz. Band-notched characteristics have also been incorporated in order to avoid interference with WLAN and X-band satellite downlink communications. Electromagnetic band gap (EBG) structure has been employed to reject the signals from the WLAN frequency range, and split ring resonator (SRR) has been used to reject 7.5 GHz centered frequency. This (41 x 47 x 1.52mm3) sized reference structure is designed on TLY-5A substrate with dielectric constant (fer) of 2.17 and tangent loss of 0.0009. © 2023 IEEE.

关键词： Energy gap

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A Comparative Study of Ovarian Cancer Prediction Using Machine Learning Method 7

A Comparative Study of Ovarian Cancer Prediction Using Machi...

引用

7th International Conference on Electronics, Materials engineering and Nano-Technology, IEMENTech 2023

作者： Das, Abhishek Alam, Towhidul Hossain, Md. Zihad Lamiya, Habiba Rashid Khan, Mohammad Monirujjaman North South University Department of Electrical and Computer Engineering Dhaka Bangladesh

ISBN: (纸本)9798350305517

The growth of cells in the ovaries is the cause of ovarian cancer. Healthy body tissue can be destroyed quickly by the cells, which can rapidly multiply. There are two ovaries in the female reproductive system, one on each side of the uterus. Eggs and the hormones estrogen and progesterone are produced by each of the almond-shaped ovaries. This work aims to perform predictive analytics for early diagnosis by combining statistical techniques and machine learning models with clinical data from 349 patients. The significant blood biomarkers are determined by applying the student's t-test and the log fold changes of two groups in statistical analysis. In addition, a collection of machine learning models, such as Random Forest (RF), Support Vector Machine (SVM), Decision Tree (DT), Extreme Gradient Boosting Machine (XGBoost), Logistic Regression (LR), Gradient Boosting Machine (GBM), and Light Gradient Boosting Machine (LGBM), are used in the creation of classification models to differentiate between patients with malignant ovarian cancer and those with benign ovarian cancer. Serum samples of human epididymis protein 4, carbohydrate antigen 125, carbohydrate antigen 19-9, and carcinoembryonic antigen were found to be the most useful biomarkers using both methods. Additional general chemistry tests included neutrophil ratio, thrombocytosis, hematocrit, calcium, indirect bilirubin, uric acid, and atriums. Additionally, the predictive analysis results demonstrate that, up to 98 percent of the time, the machine learning models can correctly distinguish between patients with benign and malignant conditions. Machine learning detection has the potential to significantly aid in the diagnosis of cancer because early-stage detection is typically unavailable. © 2023 IEEE.

关键词： Antigens

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Design and Optimization of High-Performance Rare-Earth Free Interior Permanent Magnet Motors for Electric Vehicles Enabled by Iron Nitride Magnets

Design and Optimization of High-Performance Rare-Earth Free ...

引用

2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Al-Qarni, Ali El-Refaie, Ayman Marquette University Department of Electrical and Computer Engineering Milwaukee United States

ISBN: (纸本)9798350316445

Electrification initiative in ground transportation applications is necessary to minimize CO2 emissions. However, this initiative is accompanied with technical challenges at the motor level. Current motor technology employs rare-earth metals in Permanent Magnet (PM) which introduces sustainable supply risks to Electric Vehicles (EV) makers. In this paper, a new rare-earth free PM material that is currently under development, namely, Iron Nitride (FeN) manufactured by Niron Magnetics will show the potential to replace rare-earth PM material while achieving the same performance levels. The FeN PM targets an energy product ranging from 24 to 36 MGOe. Furthermore, commercially available high-performance Ferrite by Hitachi will be blended with FeN PM with both energy products. The proposed motors use Chevrolet Bolt motor that employs Dysprosium-Neodymium Iron Boron (Dy-NdFeB) PM as a baseline design. Moreover, genetic algorithm optimization, detailed demagnetization analysis, efficiency maps, and rotor stress mechanical analyses will be provided. © 2023 IEEE.

关键词： energy product Interior Permanent Magnet (IPM) Iron Nitride (FeN) Permanent Magnet (PM)

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Gait Recognition System: A Review

Gait Recognition System: A Review

引用

2023 International Conference on Digital Applications, Transformation and Economy, ICDATE 2023

作者： Wong, Chyn Chyuan Han, Yi Chiew Curtin University Malaysia Department of Electrical and Computer Engineering Miri Malaysia

ISBN: (纸本)9798350310689

Gait recognition is a pattern analysis approach that has gained significant attention in recent years as an important research area. This paper provides an overview of gait recognition systems and techniques, including their workflow, different types of gait analysis methods, and examples of existing work. The paper discusses the advantages of gait analysis and its potential applications in various fields such as gender classification, human age classification, clinical analysis, action recognition. The overall structure of automatic gait recognition typically includes several steps such as data acquisition, preprocessing, gait cycle extraction, feature extraction, feature selection, and classification. In Section III, various methods related to feature extraction, feature selection, and classification are explained and discussed. © 2023 IEEE.

关键词： Classification (of information)

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