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All dielectric compact broadband silicon waveguide mode converters

Optical and Quantum electronics 2024年第12期56卷 1-21页

作者： Hassan, Samar Hassan A. Hameed, Mohamed Farhat O. Mahmoud, Korany R. Wageeh, Amr Obayya, S.S.A. Electronics and Communications Engineering Department Faculty of Engineering Helwan University Cairo Egypt Centre for Nanotechnology Zewail City of Science Technology and Innovation October Gardens 6Th of October City Giza12578 Egypt Nanotechnology and Nanoelectronics Engineering Program Zewail City of Science Technology and Innovation October Gardens 6Th of October City Giza12578 Egypt Mathematics and Engineering Physics Department Faculty of Engineering University of Mansoura Mansoura35516 Egypt Cairo Egypt Giza Egypt Centre for Photonics and Smart Materials Zewail City of Science Technology and Innovation October Gardens 6Th of October City Giza12578 Egypt Department of Electronics and Communications Engineering Faculty of Engineering University of Mansoura Mansoura35516 Egypt

Compact mode order converters (MOCs) operating at the mid-infrared regime are reported using silicon-on-calcium fluoride platform. The suggested designs convert the fundamental transverse electric (TE) mode to first and second order TE modes with total device lengths of only 5.89 μm and 5 μm, respectively, at λ = 3.14 µm. The full vectorial 3D finite-deference time-domain is utilized to analyze the TE0 → TE1 and TE0→TE2 MOCs. The proposed designs depend on using dielectric material of Si3N4 inside the Si core region to improve and facilitate the mode conversion process. The conversion efficiencies (inter-modal crosstalks [CTs]) are equal to 93.4% (− 19.2 dB), and 90% (− 17 dB) for TE0: TE1 and TE0:TE2 MOCs, respectively. Moreover, the reported designs have a wide wavelength range of 300 nm, where the conversion-efficiency (CE) and maximum CT are > 86% and 0: TE1 and TE0: TE2 MOCs, respectively, at λ = 1.55 µm. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Silicon photonics

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SoC-Oriented Implementation of Machine Learning Based Breast Cancer Classification Algorithm 12

SoC-Oriented Implementation of Machine Learning Based Breast...

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12th Mediterranean Conference on Embedded Computing, MECO 2023

作者： Saeed, Abdelrahman Tawfik, Ayman Mostafa, Hassan Khalil, Ahmed Hussein Cairo University Electronics and Communications Engineering Department Giza12613 Egypt Ajman University Department of Electrical and Computer Engineering United Arab Emirates University of Science and Technology Nanotechnology and Nanoelectronics Program Zewail City of Science and Technology Giza Egypt

ISBN: (纸本)9798350322910

Convolutional Neural Networks (CNN) have drawn the attention of researchers in the medical imaging field. Many researchers have exploited CNN for breast cancer detection. This study provides an Internet of Things (IoT) friendly implementation of CNN for breast cancer detection. To achieve faster time to Market, Deep-learning Processing Unit (DPU) on Field programmable Gate Array (FPGA) is adopted for the CNN hardware implementation. CNN inference on the proposed system achieves a 1.6x speed-up factor and 91.5% reduction in energy consumption compared to the conventional general-purpose multi-core Central Processing Unit (CPU). © 2023 IEEE.

关键词： Convolutional neural networks

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Multiplexed Nanoscopy via Buffer Exchange

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ACS Nano 2024年第34期18卷 23445-23456页

作者： Chang, Ting-Jui Ben Yang, T. Tony Department of Electrical Engineering National Taiwan University Taipei10617 Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei10617 Taiwan Department of Physics National Taiwan University Taipei10617 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica and National Taiwan University Taipei10617 Taiwan

Understanding cellular functions, particularly in their intricate complexity, can greatly benefit from the spatial mapping of diverse molecules through multitarget single-molecule localization microscopy (SMLM). Existing methodologies, primarily restricting the encoding dimensions to color and lifetime or requiring cyclic staining, often involve broad chromatic detection, specialized optical configurations, or sophisticated labeling techniques. Here, we propose a simple approach called buffer-exchange stochastic optical reconstruction microscopy (beSTORM), which introduces an additional dimension to differentiate between single molecules irrespective of their spectral properties. This method leverages the distinguishable photoblinking responses to distinct buffer conditions, offering a straightforward yet effective means of fluorophore discrimination. Through buffer exchanges, beSTORM achieves multitarget SMLM imaging with minimal crosstalk. Direct integration with expansion microscopy (ExM) demonstrates its capability to resolve up to six proteins at the molecular level within a single emission color without chromatic aberration. Overall, beSTORM presents a highly compatible imaging platform, promising significant advancements in highly multiplexed nanoscopy for exploring multiple targets in biological systems with nanoscale precision. © 2024 The Authors. Published by American Chemical Society.

关键词： Stochastic systems

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Efficient Automatic External Defibrillator Using the Slope of Hilbert Transformed ECG Signals 11

Efficient Automatic External Defibrillator Using the Slope o...

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11th International Japan-Africa Conference on electronics, Communications, and Computations, JAC-ECC 2023

作者： Elsagheer, Samir A. Sayed, Mohammed S. Hassan, Mohsen A. Egypt-Japan University of Science and Technology Computer Science and Information Technology Alexandria21934 Egypt Aswan Universty Facurlty of Engineering Aswan Egypt Egypt-Japan University of Science and Technology Department of Electronics and Communications Engineering Alexandria21934 Egypt Zagazig University Department of Electronics and Communications Engineering Zagazig Egypt Egypt-Japan University of Science and Technology Materials science and engineering program IDE Alexandria21934 Egypt

ISBN: (纸本)9798350369328

Sudden cardiac arrest (SCA) is a life-threatening condition that demands immediate intervention. The key to survival often lies in the timely and precise analysis of electrocardiogram (ECG) signals to determine the necessity of a shock from an Automatic External Defibrillator (AED). In this paper, we address the critical need for improved accuracy in AED decision-making by presenting a novel approach that leverages the Hilbert Transform to calculate the slope of ECG signals by harnessing the analytical power of Hilbert Transformed ECG signals. By scrutinizing the heart's electrical activity through this method, we aim to enhance the AED's ability to differentiate between cases of ventricular fibrillation and other non-shockable rhythms, ultimately leading to more efficient and effective treatment. Our research explores two distinct approaches for signal analysis and correlates their findings to achieve higher precision in defibrillation decisions. To validate the effectiveness of our approach, we employ a diverse and publicly available dataset containing various heart conditions, allowing us to demonstrate the robustness of our method across a wide spectrum of cases. This study represents a significant advancement in the field of automatic external defibrillation, with the potential to save countless lives through more accurate and timely interventions. © 2023 IEEE.

关键词： Defibrillators

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VR-Based Implicit Authentication Using Electromyogram and Inertial Measurement Unit 23

VR-Based Implicit Authentication Using Electromyogram and In...

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23rd International Conference on Cyberworlds, CW 2024

作者： Yu, Da-Young Lee, Hyung-Tak Kim, Youngsam Roh, Jong-Hyuk Kim, Soohyung Ku, Jeonghun Hwang, Han-Jeong Korea University Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Dept. Electronics and Information Engineering Sejong Korea Republic of Korea University Dept. Electronics and Information Engineering Sejong Korea Republic of Daejeon Korea Republic of Keimyung University College of Medicine Department of Biomedical Engineering Daegu Korea Republic of

ISBN: (纸本)9798331527174

Biometrics based on electromyogram (EMG) and inertial measurement unit (IMU) signals has received significant attention due to its resistance to forgery and tampering, as well as its relatively higher convenience and security compared to other biometric modalities. However, most EMG and IMU signal-based authentication methods require explicit authentication using unnatural gestures, which is not userfriendly. To address this, we collected EMG and IMU data during virtual reality (VR) rhythm game play, which does not require explicit gestures, and performed implicit authentication. Using a linear discriminant analysis (LDA) classifier, we achieved classification accuracies of 91.71% for human identification and 87.91% for human authentication. The result demonstrated the feasibility of a seamless and implicit authentication in VR environments. © 2024 IEEE.

关键词： Electromyography

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Three-phase Self-Excited Induction Generator Operating as Single-phase Induction Generator using Static VAR Compensator 20

Three-phase Self-Excited Induction Generator Operating as Si...

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20th International Conference on Electrical engineering/electronics, Computer, Telecommunications and Information technology, ECTI-CON 2023

作者： Yukhalang, Sawat Sopapirm, Theppanom Kinnares, Vijit Mahanakorn University of Technology The Electrical Engineering Graduate Program Faculty of Engineering and Technology Nongjok Bangkok10530 Thailand Institute of Electrical and Electronics Faculty of Engineering and Technology Mahanakorn University of Technology Nongjok Bangkok10530 Thailand King Mongkut's Institute Technology Ladkrabang School of Engineering Department of Electrical Engineering Chalongkrung Road Ladkrabang Bangkok10520 Thailand

ISBN: (纸本)9798350310467

This paper proposes a performance analysis of using a static volt-amp-reactive (VAR) compensator for a three-phase self-excited induction generator (SEIG) operating as a single-phase induction generator. The study proposes appropriate capacitor for building up voltage supplying power to load with static VAR for regulating terminal voltage. The simulation model is analyzed by using MATLAB/Simulink under various conditions such as reactive power supplied, dynamic response, steady state, building up voltage for startup, linear load, non-linear load and harmonics in system. From the study (based on the study, the findings revealed it is found) that using the static VAR compensator connected in parallel with loads for supplying reactive power to the load systems is needed for maintaining terminal voltage. © 2023 IEEE.

关键词： Reactive power

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Using Robot-Assisting Personalized Learning for Children with Autism: A Pilot Study of Robot's Actions 15

Using Robot-Assisting Personalized Learning for Children wit...

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15th Biomedical engineering International Conference, BMEiCON 2023

作者： Paengkumhag, Chatchai Jutharee, Wisanu Limpornchitwilai, Warissara Chamnongthai, Kosin Keawkamnerdpong, Boonserm King Mongkut's University of Technology Thonburi Faculty of Engineering Biological Engineering Program Bangkok Thailand King Mongkut's University of Technology Thonburi Institute of Field Robotics Bangkok Thailand King Mongkut's University of Technology Thonburi Faculty of Engineering Department of Electronics and Telecommunication Engineering Bangkok Thailand

ISBN: (纸本)9798350345247

There are a variety of symptoms of autism spectrum disorders. The appropriate interventions are selected according to the symptoms. Moreover, the key to successful intervention is to provide suitable therapy continuously. Unfortunately, the number of autism specialists is insufficient for the growing demands. Thus, for better intervention outcomes, the collaboration of parents/caregivers who help continue the intervention at home is crucial to the success of the intervention. However, it is not easy for inexperienced parents/caregivers. This study aimed to help parents/caregivers by using a robot to assist personalized learning for children with autism. We developed an artificial intelligence-based program to choose actions appropriate to the child user's learning style or preference so that the child user stays attended to the activities the robot offers. In this pilot study, we tested using a robot to assist personalized learning with six participants in the special education needs school. The result of this study revealed the possibility of using a robot to assist in personalized learning for children with autism, from the perspective of the participants' teacher. While interacting with the robot, the participants achieved a high average accuracy percentage of 83.36% and demonstrated a positive learning trend. © 2023 IEEE.

关键词： Human robot interaction

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Design and Performance Comparison of Current References for a 32-bit Microcontroller Using 22nm technology 16

Design and Performance Comparison of Current References for ...

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

作者： Barcelos, Eduardo A. Campagnucci, Pamela R. A. N. Munoz, Daniel M. Amaral, Wellington A. Haddad, Sandro A. P. Mechatronics Graduate Program Faculty of Technology Department of Mechanical Engineering Electronics Engineering Undergraduate Program University of Brasilia Faculty of Gama DF Brasilia Brazil

ISBN: (纸本)9798331522124

With the advancement of semiconductor technologies, the need for efficient power management solutions in integrated systems, such as RISC-V architecture-based microcontrollers, becomes increasingly critical. However, there is a lack of studies comparing current reference architectures in terms of performance and robustness, particularly in 22nm technologies. In this paper, we present a comparative analysis of two current reference designs implemented in the same technology-referred to as Reference Design A and Reference Design B. We focus on their approaches to thermal compensation, supply stability, and layout optimizations. Through simulations and experimental tests, we evaluate the performance of each design within a power management system that includes DC-DC converters and LDO regulators. Our results indicate that Design A exhibits superior power supply rejection with a PSRR of -85 dB, while Design B demonstrates enhanced energy efficiency and thermal stability, achieving a nominal current of 5.14 μA and a temperature coefficient of 16.21 ppm. These findings underscore the importance of balancing energy efficiency, thermal stability, and power supply variation rejection when selecting current references for low-power, high-reliability applications, such as those in the Internet of Things (IoT). © 2025 IEEE.

关键词： Integrated circuit layout

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Design and Performance Comparison of Current References for a 32-bit Microcontroller Using 22nm technology

Design and Performance Comparison of Current References for ...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Eduardo A. Barcelos Pâmela R. A. N. Campagnucci Daniel M. Muñoz Wellington A. Amaral Sandro A. P. Haddad Department of Mechanical Engineering Faculty of Technology Mechatronics Graduate Program Faculty of Gama Electronics Engineering Undergraduate Program University of Brasilia Brasilia DF Brazil

ISBN: (数字)9798331522124

ISBN: (纸本)9798331522131

关键词： Resistance Microcontrollers Power system management Stability criteria Energy efficiency Robustness Circuit stability Thermal analysis Internet of Things Thermal stability

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A 22nm CMOS PFM Buck Converter Used in a 32-Bit RISC-V Microcontroller for IoT Applications

A 22nm CMOS PFM Buck Converter Used in a 32-Bit RISC-V Micro...

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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Luiz H. N. Oliveira Wellington A. Amaral Sandro A. P. Haddad Daniel M. Muñoz Eduardo A. Barcelos Vinícius V. M. Sotero Emmanuel K. M. Jonhson Pâmela R. A. N. Campagnucci Luis V. N. Lima Department of Mechanical Engineering Faculty of Technology Mechatronics Graduate Program University of Brasilia Brasilia DF Brazil Faculty of Gama Electronics Engineering Undergraduate Program

ISBN: (数字)9798331522124

ISBN: (纸本)9798331522131

The demand for efficient power management solutions in electronic devices has increased significantly, especially for microcontrollers operating in low-power modes. This article presents the design and implementation of a Pulse Frequency Modulation (PFM)-based buck converter for applications in 32-bit microcontrollers using 22nm CMOS technology. The methodology involves the development of a Constant On Time (COT) architecture that maintains a fixed duration for the activation of the high-side MOSFET, using a monostable multivibrator to generate the necessary timing signals. The converter's performance was simulated under various load conditions and process corners to evaluate its efficiency and output characteristics. The results show that the proposed buck converter achieves high efficiency, with peak values above 95%, while maintaining a low output ripple. Specifically, the converter exhibits an efficiency of 93.4% at a load of 1mA, with output ripple voltages as low as 2.20 mV under ideal conditions. The contributions of this work lie in the advancement of PFM converter technology for modern microcontroller applications, demonstrating the potential of 22nm CMOS processes to improve power efficiency and performance.

关键词： Semiconductor device modeling Performance evaluation MOSFET Buck converters Microcontrollers Power system management Multivibrators Timing Internet of Things Load modeling

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