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2023 IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023

作者： Feng, Ziliang Baig, Sheraz Ebrahimi, Seyyedmilad Jatskevich, Juri University of British Columbia Department of Electrical and Computer Engineering Vancouver Canada

ISBN: (纸本)9798350393415

This paper presents a state feedback controller for speed control for permanent magnet synchronous motor (PMSM) drives. Both surface and interior PMSMs (i.e., SPMSM and IPMSM) have been considered. The state feedback gain in the proposed method is tuned based on the pole placement method, where the locations of the system poles are selected with respect to the desired control bandwidth. The proposed control method achieves the decoupling of q-and d-axes currents without linearization in the entire speed range. The performance of the proposed control method for load-Torque rejection is compared against two widely used PI-based control methods, i.e., active damping and 2-degree-of-freedom techniques. It is verified that the proposed state-feedback control method achieves superior performance (e.g., reduced over/under-shoot in transients) for control of PMSMs compared to the PI-based methods. © 2023 IEEE.

关键词： State feedback

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Using a 3D-Printed Waveguide Filter with Ridge Resonators as a Dielectric Permittivity Sensor

Using a 3D-Printed Waveguide Filter with Ridge Resonators as...

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2023 IEEE/MTT-S International Microwave Symposium, IMS 2023

作者： Romano, Francesco Delmonte, Nicolo Perregrini, Luca Bozzi, Maurizio University of Pavia Computer and Biomedical Engineering Department of Electrical Pavia Italy

ISBN: (纸本)9798350347647

This paper presents the use of a waveguide filter with ridge resonators that exhibits transmission zeros to implement a dielectric permittivity sensor. Thanks to its geometry, the electric field is intense under the ridge resonators, where the dielectric slab to be characterized is located. The operation principle is based on the evaluation of the frequency shift of transmission zeros, and exhibits high sensitivity and tolerance to vertical positioning errors. The designed sensor operates around the frequency of 10 GHz. The manufacturing process is based on the 3D printing with plastic material and the subsequent metallization. A set of commercial dielectric laminates have been adopted to validate the performance of the sensor. © 2023 IEEE.

关键词： 3D printing

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Learning from Machine Learning and Teaching with Machine Teaching: Using Lessons from Data Science to Enhance Collegiate Classrooms

Learning from Machine Learning and Teaching with Machine Tea...

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2023 ASEE Annual Conference and Exposition - The Harbor of engineering: Education for 130 Years, ASEE 2023

作者： Buccafusca, Lucas Department of Electrical and Computer Engineering Johns Hopkins University United States

In the field of data science, advancements in the field of machine learning have led to programs developing high-level reasoning, intricate data understanding, and groundbreaking predictive models. Machine Learning (ML) research aims at making a program 'learn,' that is, develop models and techniques with known information to be able to handle future problems. Traditionally, this is done by increasing the quantity and quality of input data and training the learner in more effective ways to interpret that information. This has a direct parallel to the collegiate classroom, as instructors aim to inspire mastery over a topic to their students through a variety of methods (homework problems, examinations, projects, etc.) and teach them the corresponding skillsets from feedback on these assignments. Machine Teaching (MT) research, on the other hand, aims at making the teacher more productive by using their own cognitive models to improve the quality of the data holistically. Again, this has a corresponding counterpart to current teaching pedagogies;the instructor decides on the details of an assignment from their own knowledge and experience with the end goal of having students retain the information and apply it to future problems. This paper identifies how the various innovations, lessons, and conclusions discovered in the field of artificial intelligence can enhance the quality of a collegiate classroom experience and improve student performance. © American Society for engineering Education, 2023.

关键词： Students

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Iterative Design of Hyperuniform Materials Using Wannier Functions 16

Iterative Design of Hyperuniform Materials Using Wannier Fun...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Lee, Gitae Park, Hyungchul Park, Seungkyun Park, Namkyoo Yu, Sunkyu Seoul National University Intelligent Wave Systems Laboratory Department of Electrical and Computer Engineering Seoul08826 Korea Republic of Seoul National University Photonic Systems Laboratory Department of Electrical and Computer Engineering Seoul08826 Korea Republic of

We propose the algorithm for hyperuniform point process by using Wannier functions in photonic crystals. Our study provides the transformation of the point process from Poisson to stealthy hyperuniformity. © 2024... 详细信息

ISBN: (纸本)9798350372076

关键词： Photonic crystals

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Farsi Text in Scene: A new dataset 13

Farsi Text in Scene: A new dataset

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13th International Conference on computer and Knowledge engineering, ICCKE 2023

作者： Salmasi, Ali Kabir, Ehsanollah Tarbiat Modares University Department of Electrical and Computer Engineering Tehran Iran

ISBN: (纸本)9798350330151

Due to the recent advancements in computer vision and scene understanding, detection & recognition of text within scene images have attracted significant interest from both academia and industry. To develop a reliable and effective text recognition system, having access to a suitable dataset is essential. While many datasets containing English text in scene images are available, the lack of a comparable dataset for Farsi is evident. To lay the groundwork for the advancement of Farsi text detection and recognition systems in the future, a new dataset of Farsi text in scene images is introduced. Images are taken by a smartphone mainly from shop panels and advertising banners in the street. Printed texts on the images are in different fonts, sizes, and colors on diverse and complex backgrounds which give this dataset variety needed for building a robust text detection and recognition system. In total, 1182 images are collected and annotated. To validate our dataset, we trained a deep object detection model and achieved an mAP50 of 46.4% on the test set. © 2023 IEEE.

关键词： Object detection

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Reinforcement Learning for Nash Noncoperative and Pareto Cooperative Optimal Linear Systems 24

Reinforcement Learning for Nash Noncoperative and Pareto Coo...

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24th International Arab Conference on Information Technology, ACIT 2023

作者： Gajic, Zoran Memon, Zulfiqar Awan, Ahmed Bilal Rutgers University Department of Electrical and Computer Engineering Piscataway United States

ISBN: (纸本)9798350384307

In this paper we use the reinforcement learning techniques for optimal control of linear-quadratic systems, and consider two situations: when controllers cooperate (Pareto strategies) and when they do not cooperate (Nash strategies). These situations are encountered in optimal control and reinforcement learning of several engineering systems (especially in energy systems), economics, and in general machine learning. We compare the corresponding optimal costs using normalized data assuming that the system initial conditions are uniformly distributed on the unit sphere, and provide an estimate how much cooperation helps in learning optimal controllers for these kind of problems. The theoretical results are demonstrated on an example of an electric power system. © 2023 IEEE.

关键词： linear-quadratic dynamic optimization Nash policy iterations Parato policy iterations Reinforcement learning styling

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Improved non-destructive mutual inductance estimation method for multi-chip power modules 10

Improved non-destructive mutual inductance estimation method...

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10th IEEE Workshop on Wide Bandgap Power Devices and Applications, WiPDA 2023

作者： Boutry, Arthur Jimenez, Sergio Lemmon, Andrew The University of Alabama Department of Electrical and Computer Engineering Tuscaloosa United States

ISBN: (纸本)9798350337136

In multi-chip power modules, the extraction of mutual inductance is an enduring challenge. Recently, it has been demonstrated with an empirical, non-invasive, and non-destructive method the ability to measure the mutual inductance between the positive and negative terminals. This method relies on measuring the mutual inductance of a power module in the same fashion as a transformer. A problem of this method is the low Signal-To-Noise Ratio (SNR) due to the weak coupling between the module terminals. In this contribution, we will increase the effectiveness of this method by improving the hardware setup. The results will also be cross-validated with FEA model predictions for a module geometry. © 2023 IEEE.

关键词： Signal to noise ratio

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Multi-Objective Design Optimization and Comparison of 2-layer versus 3-layer PM-Assisted Synchronous Reluctance Machines using a Blend of Rare-Earth and Rare-Earth-Free Magnets

Multi-Objective Design Optimization and Comparison of 2-laye...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Kumar, Praveen Wilson, Robin Chowdhury, Towhid El-Refaie, Ayman Marquette University Department of Electrical and Computer Engineering Milwaukee United States

ISBN: (纸本)9798350316445

Permanent Magnet Assisted Synchronous Reluctance Machines (PMASynRM) provide a low-cost alternative to the Surface PM Machines due to the use of relatively lower grades of rare-earth (RE) or RE-free magnets, as the performance degradation due to weaker magnets is compensated by the presence of reluctance torque. However, the weaker magnets suffer from high risk of demagnetization leading to unreliable motor operation. Using a blend of RE and RE-free magnets has the potential to overcome this issue. This paper presents four combinations of RE and RE-free magnets as well as two RE-free magnet combinations for their potential utilization in PMASynRM. Two different PMASynRM rotor topologies having 2-layers and 3-layers of rotor magnets arranged in U-shape and enabled with the six different magnet combinations are subjected to a multi-objective design optimization. The designs are optimized to minimize the volume of RE magnets, the demagnetization risk of RE-free magnets as well as torque ripple while achieving performance comparable to that of the Chevy-Bolt motor, taken here as the baseline design. Additionally, the minimization of the mechanical stress developed in the rotor laminations are also considered. The evaluation of various performance parameters along with approximate cost assessment based on magnet mass for the best designs of each magnet combinations are obtained for both rotor topologies. A quantitative comparison is also presented to highlight the various tradeoffs and suggest the best topology for further investigation. © 2023 IEEE.

关键词： design optimization electric vehicle application finite element analysis iron-nitride rare-earth free magnets

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TRIESTE: translation based defense for text classifiers

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Journal of Ambient Intelligence and Humanized Computing 2023年第12期14卷 16385-16396页

作者： Gupta, Anup Kumar Paliwal, Vardhan Rastogi, Aryan Gupta, Puneet Department of Computer Science and Engineering Indian Institute of Technology Indore Madhya Pradesh Indore452020 India Department of Electrical Engineering Indian Institute of Technology Indore Madhya Pradesh Indore452020 India

The field of natural language processing (NLP) has significantly evolved with the advent of state-of-the-art models. The discovery of these models has entirely revolutionised how NLP tasks such as machine translation, sentiment analysis and many others are performed. However, despite their high efficacy and meticulous performance, these models are prone to adversarial attacks. Adversarial attacks involve the introduction of perturbations imperceptible to humans, which can severely impact the model’s learning and prediction accuracy. Current defenses on text data include approaches such as spell-checking and adversarial training, which have their limitations against state-of-the-art adversarial attacks. This paper put forward an effective transformation-based defense, TRIESTE (TRanslatIon basEd defenSe for Text classifiErs). The proposed defense overcomes the shortcomings of existing defenses by translating the input text from the source language to a target language and again back to the source language before providing it to the text classifier. Translation ensures that the sentiment of the translated text is similar to that of the input text by taking the entire text into consideration, which leads to the removal of adversarial perturbations. Rigorous evaluation on publicly available datasets showcases that TRIESTE is successful against state-of-the-art attacks without a significant drop in the classifier accuracy. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Classification (of information)

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Complex parameter mapping method of motor inductance considering mechanical stress and thermal expansion for quality operation 26

Complex parameter mapping method of motor inductance conside...

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26th International Conference on electrical Machines and Systems, ICEMS 2023

作者： Kang, Seung-Gu Park, Seah Seo, Chae Won Jung, Sang-Yong SungKyunKwan University Department of Electrical and Computer Engineering Suwon Korea Republic of

ISBN: (纸本)9798350317589

This paper suggests complex parameter mapping method of motor inductance for quality operation. The proposed method considers the rotor deformation. The rotor deformations are analyzed in terms of mechanical stress, thermal expansion, and coupled conditions in sequence. And the effects of deformation are also described about air gap length and inductance variations. Then parameter mapping method including rotating speed and temperature are proposed, and the each map data and the differences are analyzed. Finally, the importance of considering rotor deformation for quality operation is verified. © 2023 IEEE.

关键词： Thermal expansion

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