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2022 IET International Conference on engineering Technologies and Applications, IET-ICETA 2022

作者： Chen, Kuan-Hung Su, Chun-Wei Wang, Jen-He Feng Chia University Department of Electronic Engineering Taichung Taiwan PH.D. Program of Electronical and Communications Engineering Department of Electronic Engineer

ISBN: (数字)9781665491389

ISBN: (纸本)9781665491389

With the innovation of hardware equipment, the development of artificial intelligence has broken through the limitations of the past. Neural networks have been continuously deepened to improve the accuracy of detection, so that the parameters have increased with a direct proportional rate. In this way, however, high energy consumption has been induced which obstacles the deployment of AI algorithms on portable devices. Therefore, the design of neural network must consider not only detection accuracy but also energy efficiency. In this paper, we analyzed energy consumption, detection accuracy and execution speed of our neural network model as well as the state-of-the-art models based on an FPGA platform called ZCU-102. We adopt the performance index from Low Power Computer Vision (LPCV) challenge which considers power dissipation, mean Average Precision (mAP) and Frames Per Second (FPS) at the same time to evaluate these models in an overall point of view. Agilev4 can achieve 59.9% of mAP@50 on MS COCO test-dev2017 datasets. If the input frame resolution is turned into 416 × 416, the processing frame rate can reach 20.7 FPS on ZCU-102. Compared with the state-of-the-art models, the LPCV score of Agilev4-416 is 1475. S which is 1.56 times of that of YOLOv4-416. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Metasurfaces for next-generation wireless communication systems

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National Science Review 2023年第8期10卷 17-19页

作者： Younes Ra'di Nikita Nefedkin Petar Popovski Andrea Alù Department of Electrical Engineering and Computer Science Syracuse University Photonics Initiative Advanced Science Research Center City University of New York Department of Electronic Systems Aalborg University Physics Program Graduate Center City University of New York

The pace of development in the world of 5G communication systems has proven to be much more demanding than previous generations, with 5G-Advanced seemingly around the corner [1]. Extensive research is already underway to structure the next generation of wireless systems(i.e. 6G), which may potentially enable an unprecedented level of human–machine interaction [2].

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Development of LED Lighting for Microalgae Propagation with Emission Spectrum Having Broader Emission Peaks

Development of LED Lighting for Microalgae Propagation with ...

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2024 IEEE Sustainable Smart Lighting World Conference and Expo, LS24 2024

作者： Hosoda, Nobuaki Murata, Takashi Misu, Takayuki Kanagawa Institute of Technology Graduate School of Engineering Master's Degree Program in Electrical and Electronic Engineering Atsugi Kanagawa243-0292 Japan Kanagawa Institute of Technology Faculty of Engineering Department of Applied Chemistry and Bioscience Atsugi Kanagawa243-0292 Japan Kanagawa Institute of Technology Faculty of Engineering Department of Electrical and Electronic Engineering Atsugi Kanagawa243-0292 Japan

ISBN: (纸本)9798331540197

In this study, we aimed to develop LED lighting with an emission spectrum effective for microalgae propagation, and fabricated LED lighting with Phosphor layer RGB, which has peaks in the red, green, and blue wavelength bands, and Phosphor layer RG'B', which has broader peaks in the red, green, and blue wavelength bands. In order to examine the effect of microalgae propagation, Closterium ehrenbergii samples prepared at different dilution rates were irradiated with LED illumination light of Phosphor layer RG'B' and Phosphor layer RGB, respectively, for 7 days, and their propagation rates were compared. The results of the experiment showed that Phosphor layer RG'B' produced a higher propagation rate than Phosphor layer RGB. © 2024 IEEE.

关键词： Light emitting diodes

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An Optimized VLSI Exponential Unit Design Exploring Efficient Arithmetic Operation Strategies 30

An Optimized VLSI Exponential Unit Design Exploring Efficien...

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30th IEEE International Conference on electronics, Circuits and Systems, ICECS 2023

作者： Da Costa, Patrícia Da Rosa, Morgana Soares, Rafael Da Costa, Eduardo Bampi, Sergio Federal University of Rio Grande Do Sul Graduate Program on Microelectronics Porto Alegre Brazil Graduate Program on Computing Pelotas Brazil Graduate Program on Electronic Engineering and Computing Pelotas Brazil Porto Alegre Brazil

ISBN: (纸本)9798350326499

This work presents an optimized exponential function VLSI hardware design by Taylor series expansion. The proposed architecture implements the exponential by approximating the logic design of a 4th-order Taylor series and explores efficient CMOS arithmetic operation strategies. It implements a shift-based divider and explores an efficient 4-2 adder compressor in the adder tree. The proposal with a -7 to 11 input values range shows an output error of around 2% of MRED with a reduced energy consumption of 3.63 pJ/operation for 32-bit output. For a 64-bit output, the energy per operation of the VLSI exponential unit is 14.97pJ/op, being able to process a more comprehensive input range (i.e., -14 to 22) for a negligible mean output error of around 1.7% of MRED. © 2023 IEEE.

关键词： Adders

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A Low-Power Level-2 Discrete Haar Wavelet Transform with Approximate Adders for ECG Signal 16

A Low-Power Level-2 Discrete Haar Wavelet Transform with App...

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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025

作者： Seidel, Henrique Da Rosa, Morgana Lopes, Rodrigo Da Costa, Eduardo Soares, Rafael Graduate Program on Computing Pelotas Brazil Graduate Program on Electronic Engineering and Computing Pelotas Brazil

ISBN: (纸本)9798331522124

We present an energy-efficient implementation of the level-2 Pruned Discrete Haar Wavelet Transform (PDHWT-2) for R-peak detection in ECG signals. Approximate computing techniques were employed, including five well-established approximate adders (AxPPA, COPY, ETA-I, LOA, and Trunc) and bit truncation (T), to reduce energy consumption while maintaining accuracy above 99% for reliable R-peak detection. By focusing on the second-level detail coefficient (D2) for peak detection and pruning the approximation coefficient, the PDHWT-2 design achieves significant reductions in computational complexity. The architecture, evaluated with ECG signals from the MIT-BIH database, maintained accuracy above 99% even with aggressive bit truncation and approximation, ensuring reliable medical-grade analysis. Integration of approximate adders (AxAs) and truncation enabled significant power and area savings. Specifically, the use of the AxPPA demonstrated power savings of up to 40% with area reductions of around 45%, making the PDHWT-2 a highly efficient solution for low-power ECG monitoring systems. © 2025 IEEE.

关键词： Image reconstruction

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Exploring Approximate Adders for Accuracy- and Energy-Quality VLSI Watermarking Systems Design 16

Exploring Approximate Adders for Accuracy- and Energy-Qualit...

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16th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2025

作者： Da Rosa, Morgana Da Costa, Eduardo Soares, Rafael Graduate Program on Computing Pelotas Brazil Graduate Program on Electronic Engineering and Computing Pelotas Brazil

ISBN: (纸本)9798331522124

Approximate computing (AxC) has emerged as a viable alternative to enhance computational efficiency by leveraging the intrinsic error resilience of many applications. One of the leading strategies of AxC involves exploring different approximation adder (AxA) configurations as a viable form of reducing power consumption in many applications. This work explores the use of AxAs in a hybrid watermarking technique that combines discrete Haar-Wavelet (DHWT) and discrete cosine transforms (DCT). The proposed hybrid method, HyDHWCT, integrates these transforms to improve robustness and imperceptibility in watermarking systems while optimizing for energy efficiency. We evaluate the performance of various AxAs, including Copy, ETA, LOA, Truncation (Trunc), VLSPPAs, and the AxPPA, regarding energy consumption, circuit area, and error resilience. Our results demonstrate that the AxPPA-based HyDHWCT offers superior accuracy and energy-quality trade-offs over other state-of-the-art AxAs. Specifically, the AxPPA on HyDHWCT with K = 1 achieves up to 72.85% energy savings and 88.32% area savings compared to the exact HyDHWCT while maintaining high accuracy, with a normalized cross-correlation (NC) of 0.9949 and a structural similarity (SSIM) of 0.9920 for the extracted watermark. These results make the AxPPA-based HyDHWCT a highly effective solution for robust and energy-efficient watermarking systems. © 2025 IEEE.

关键词： Energy efficiency

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A Nonlinear Adaptive H∞ Control with Finite-Time Stability and Exact Parameter Estimation∗

A Nonlinear Adaptive H∞ Control with Finite-Time Stability ...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Campos, Jonatan M. Cardoso, Daniel N. Raffo, Guilherme V. Graduate Program in Electrical Engineering MG Belo Horizonte31270-901 Brazil Ufmg Department of Electrical Engineering MG Belo Horizonte Brazil Ufmg Department of Electronic Engineering MG Belo Horizonte Brazil

ISBN: (纸本)9798350316339

This work addresses the problem of adaptive control of Euler-Lagrange systems considering unknown parameters without the hypothesis that the persistence of excitation (PE) condition holds. A systematic framework to obtain linear regression equations in accordance with the dynamic regressor extension and mixing (DREM) technique is proposed involving the notion of the Euler-Lagrange first integral. Then, we develop a novel robust nonlinear adaptive H∞ controller capable of ensuring both convergence of the estimated unknown parameters and trajectory tracking in finite-time under a more relaxed condition than the PE assumption. The effectiveness of the proposed robust nonlinear adaptive H∞ controller is corroborated through numerical experiments with a simplified CRS-A465 robot manipulator. © 2024 IEEE.

关键词： Lagrange multipliers

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Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection

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Neural Computing and Applications 2025年第6期37卷 4567-4583页

作者： Sayem, Faizul Rakib Islam, Md. Sakib Bin Naznine, Mansura Nashbat, Mohammad Hasan-Zia, Mazhar Kunju, Ali K Ansaruddin Khandakar, Amith Ashraf, Azad Majid, Molla Ehsanul Kashem, Saad Bin Abul Chowdhury, Muhammad E. H. Department of Electrical and Electronic Engineering University of Dhaka Dhaka Bangladesh Department of Biomedical Engineering Military Institute of Science and Technology Dhaka Bangladesh Department of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi6204 Bangladesh Chemical Engineering Department University of Doha for Science and Technology Doha Qatar Department of Electrical Engineering Qatar University Doha2713 Qatar Computer Applications Department Academic Bridge Program Qatar Foundation Doha Qatar Department of Computing Science AFG College With the University of Aberdeen Doha Qatar

Given the severity of waste pollution as a major environmental concern, intelligent and sustainable waste management is becoming increasingly crucial in both developed and developing countries. The material composition and volume of urban solid waste are key considerations in processing, managing, and utilizing city waste. Deep learning technologies have emerged as viable solutions to address waste management issues by reducing labor costs and automating complex tasks. However, the limited number of trash image categories and the inadequacy of existing datasets have constrained the proper evaluation of machine learning model performance across a large number of waste classes. In this paper, we present robust waste image classification and object detection studies using deep learning models, utilizing 28 distinct recyclable categories of waste images comprising a total of 10,406 images. For the waste classification task, we proposed a novel dual-stream network that outperformed several state-of-the-art models, achieving an overall classification accuracy of 83.11%. Additionally, we introduced the GELAN-E (generalized efficient layer aggregation network) model for waste object detection tasks, obtaining a mean average precision (mAP50) of 63%, surpassing other state-of-the-art detection models. These advancements demonstrate significant progress in the field of intelligent waste management, paving the way for more efficient and effective solutions. © The Author(s) 2024.

关键词： Deep learning for waste management Intelligent waste management Object detection in waste management Sustainable waste processing Urban solid waste Waste image classification

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The Work on the Application of Electrical Machines and the Project Method in a Public University of Peru 4

The Work on the Application of Electrical Machines and the P...

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4th IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2024

作者： Rojas, Julio Ernesto Quispe Tuesta, Julio Enrique Quispe Universidad Nacional Pedro Ruiz Gallo Computing and Electronic Departament Lambayeque Peru Universidad Nacional Tecnológica de Lima Sur System Engineering Program Lima Peru

ISBN: (纸本)9798350395914

The purpose of this research is to present an improved project method and the results obtained in its use for the application work of the electrical machines course of an electronic engineering program of the Pedro Ruiz Gallo National University of Lambayeque in Peru. Previously, from 2013 to 2018, the project method was used, and based on these experiences, a proj ect method was prepared with greater detail of the activities and deliverables in each phase of the method, the results are better information, planning and organization by part of the students and a better evaluation by the facilitator, who acts as a referee and not as a coach as in traditional vocational training. The improved project method that has been applied in the 2019-11 semester and completed the validation in the 2023 semesters, due to the COVID 19 quarantine in the years 2020 to 2022, no real application work was carried out. In order to train professionals with new skills, vocational training must be innovated with new teaching-learning modes, such as the project method. The projects carried out in 2019-11 gave 4 very good projects: Automotive alternator as direct current generator, DC generator based on a DC motor, Construction of a windshield wiper system, Construction of a single-phase induction motor;2 good projects and 5 regular projects. © 2024 IEEE.

关键词： AC generator motors

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Optimizing Automotive electronic Throttle Control with a Modified Grey Wolf Algorithm 5

Optimizing Automotive Electronic Throttle Control with a Mod...

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5th International IEEE Novel Intelligent and Leading Emerging Sciences Conference, NILES 2023

作者： Youssef, Omnia Shalaby, Raafat Eas School Nile University Meng Program Giza Sheikh Zayed Egypt Menofia Uni. Faculty of Electronic Engineering Menouf Egypt

ISBN: (纸本)9798350381030

electronic Throttle Control (ETC) systems have become increasingly popular in the automotive industry due to their ability to improve fuel efficiency and vehicle performance. However, designing effective control strategies for these systems is challenging due to the non-linearities and external load affecting the throttle gate angle. This paper proposes a novel control approach for ETC systems using a modified Grey Wolf optimization algorithm combined with a fractional-order PID controller. The proposed approach is designed to handle the tuning of the controller's five parameters in the presence of many non-linearities and external disturbances. To better understand the effects of non-linearities, a comprehensive survey of ETC system control methods is presented, highlighting the challenges posed by non-linearities and external load. A mathematical model is developed to incorporate the effects of friction and limp home dual springs to understand the system's behavior. Modifications are made to the Grey Wolf optimizer to improve its convergence and ability to find the best solution. Simulation studies are conducted to compare the proposed approach with traditional PID and fractional-order PID controllers, demonstrating its superiority in terms of tracking performance and robustness to disturbances. The proposed approach has the potential to be applied to other control systems in the automotive industry and beyond © 2023 IEEE.

关键词： Automotive industry

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