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Design of a Polarization-Insensitive and High-Efficiency Coplanar Edge Coupler for Silicon Photonics by Using a Polished Conical Silicon-Cored-Fiber

IEEE Photonics Journal

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IEEE Photonics Journal 2024年第1期16卷 1-4页

作者： Yang, Sung-Pu Wu, Chao-Hsin Wang, Lon A. National Taiwan University Graduate Institute of Photonics and Optoelectronics Taipei10617 Taiwan National Taiwan University Department of Electrical Engineering Graduate School of Advanced Technology Taipei10617 Taiwan National Taiwan University Graduate Institute of Electronics Engineering Taipei10617 Taiwan National Taiwan University Department of Electrical Engineering Taipei10617 Taiwan

Optical coupling between an external optical fiber and a silicon waveguide is vital for successful silicon photonics applications. Direct edge coupling has been desirable but challenging in the past to substitute for bulky, non-coplanar grating-assisted coupling. A silicon-cored fiber (SCF) is proposed as a novel solution for coplanar light coupling from an incoming fiber to a silicon waveguide. The simulation results show that an optimized polished conical SCF coupler can reach very high coupling efficiencies in both TE and TM modes and with low polarization dependence. © 2009-2012 IEEE.

关键词： Polarization

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SCENE TEXT RECOGNITION MODELS EXPLAINABILITY USING LOCAL FEATURES

arXiv

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arXiv 2023年

作者： Ty, Mark Vincent Atienza, Rowel Electrical and Electronics Engineering Institute University of the Philippines Philippines AI Graduate Program University of the Philippines Philippines

Explainable AI (XAI) is the study on how humans can be able to understand the cause of a model's prediction. In this work, the problem of interest is Scene Text Recognition (STR) Ex-plainability, using XAI to understand the cause of an STR model's prediction. Recent XAI literatures on STR only provide a simple analysis and do not fully explore other XAI methods. In this study, we specifically work on data explainability frameworks, called attribution-based methods, that explain the important parts of an input data in deep learning models. However, integrating them into STR produces inconsistent and ineffective explanations, because they only explain the model in the global context. To solve this problem, we propose a new method, STRExp, to take into consideration the local explanations, i.e. the individual character prediction explanations. This is then benchmarked across different attribution-based methods on different STR datasets and evaluated across different STR models. © 2023, CC BY-SA.

关键词： Forecasting

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Extreme Fast Charging Station for Multiple Vehicles with Sinusoidal Currents at the Grid Side

Extreme Fast Charging Station for Multiple Vehicles with Sin...

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2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022

作者： Brandao, Dener A. De L. Parreiras, Thiago M. Pires, Igor A. Filho, Braz De J. Cardoso Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Institute of Technological Sciences Universidade Federal de Itajuba Itabira Brazil Department of Electronics Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Department of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil

ISBN: (数字)9781665492065

ISBN: (纸本)9781665492065

As the electrical vehicle fleet grows, extreme fast charging (XFC) stations for multiple vehicles will be increasingly needed. The challenges for the implementation of many XFC stations in the electric power system are many and it is necessary to use converters that reduce the negative impacts on the electric grid, meet the standards and recommendations, and that are technically and economically viable. This work proposes an XFC station for multiple vehicles that has a very low current harmonics injection at the grid side, with a Total Demand Distortion (TDD) of 0.62% without using sinusoidal filter, provides galvanic isolation for each input/output port, and can provide additional features such as Distributed Energy Resources (DER) integration and ancillary services. This is achieved by combining a bidirectional low switching frequency grid-connected active front-end with high switching frequency SiC-based dc/dc converters in the vehicles side. After a brief description of the proposed system and its control, simulation results are presented to validate the XFC. © 2022 IEEE.

关键词： Rectifying circuits

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3rd Crystal Oscillator in BJT Architecture Using Negative-Capacitance Circuits

3rd Crystal Oscillator in BJT Architecture Using Negative-Ca...

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Consumer Technology (ICCT-Pacific), International Conference on

作者： Mian-Heng Chuang Tsun-Kuang Chi Yao-Zhong Zhang Chiung-An Chen Shih-Lun Chen Chun-Yu Lin Chun-Chieh Chen Department of Electronic Engineering Chung Yuan Christian University Taoyuan City Taiwan Department of Electrical Engineering Ming Chi University of Technology New Taipei City Taiwan Department of Electrical Engineering Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan

ISBN: (数字)9798331504120

ISBN: (纸本)9798331504137

This paper proposed a 3rd harmonic crystal oscillator that implemented in a BJT architecture with voltage loop tuning. The design integrated Negative Capacitance Field Effect Transistors (NCFETs) into the base circuit of the 3rd harmonic oscillator. The two ends of the negative capacitance are connected to the base and collector of the BJT element in the circuit, respectively, thereby improving noise performance and stability. The proposed design utilized TSMC's 0.18-micron process to obtain the physical chip, and validation and analysis are then performed using an SSA signal source analyzer. The phase noise is -156dBc at 1Mhz and the RMS jitter is 158.47 fsec. The result shows that the BJT architecture with NCFETs can achieve notable results in oscillator architecture.

关键词： Phase noise Power demand Jitter Capacitance FinFETs Harmonic analysis Stability analysis Circuit stability Tuning Thermal stability

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Game-Theoretic Lightweight Autoencoder Design for Intrusion Detection

Game-Theoretic Lightweight Autoencoder Design for Intrusion ...

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IEEE Conference on Wireless Communications and Networking

作者： Joohong Rheey Hyunggon Park Department of Electronic and Electrical Engineering Graduate Program in Smart Factory Ewha Womans University Seoul Republic of Korea

ISBN: (数字)9798350303582

ISBN: (纸本)9798350303599

In response to the security threats in wireless networks with concurrent device connections, deploying Intrusion Detection Systems (IDS) at the network edge is a promising strategy. However, this approach must take into account the resource constraints incurred by power-limited edge devices, requiring a lightweight solution to IDS. At the same time, the lightweight IDS solution has to minimize performance degradation as higher detection performance is also a key requirement of IDS. In this paper, we design a lightweight autoencoder with explainability, employing the Shapley value to measure unit importance and link importance. This approach can selectively activate only critical components, thereby reducing the complexity for IDS while effectively lowering its performance degradation. We confirm that the proposed algorithm is robust against the harsh sparsity of the autoencoder. Moreover, the sparsity of the proposed lightweight autoencoder can be easily manageable, such that it can be controlled to satisfy the potential constraints of power-limited edge devices. Therefore, the solution is a suitable algorithm for IDS that can be deployed on edge devices in wireless networks.

关键词： Performance evaluation Degradation Measurement units Accuracy Image edge detection Wireless networks Intrusion detection

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Control Performance Assessment of a Zero Harmonic Distortion Grid-Forming Converter in Islanded Microgrids

Control Performance Assessment of a Zero Harmonic Distortion...

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IEEE Annual Southern Power electronics Conference (SPEC)

作者： Gabriel Vilkn Ramos Thiago Morais Parreiras Braz de Jesus Cardoso Filho Graduate Program in Electrical Engineering UFMG Belo Horizonte Brazil Department of Electrical Engineering CEFET-MG Belo Horizonte Brazil Department of Electrical Engineering UFMG Belo Horizonte Brazil

The world is currently witnessing a rapid transformation in the production and utilization of electrical energy. The traditional centralized generation model for electric power is swiftly evolving into a more decentralized system, known as Distributed Generation (DG), which incorporates renewable energy sources situated closer to end-users. This shift towards DG has paved the way for the emergence of grid-forming converters, which play a pivotal role in enhancing voltage and frequency stability within microgrids (MGs) and isolated applications. This transformation is primarily driven by the increasing prevalence of inverter-based energy resources. In isolated MGs, ensuring high power quality becomes a paramount concern due to the presence of potentially disruptive loads and the risk of resonance issues arising from the integration of multiple electronically interfaced distributed energy resources (DERs) and loads. This study focuses on assessing the performance of the Zero Harmonic Distortion (ZHD) control method when applied to grid-forming converters in both stand-alone and parallel operation modes. The distinctive feature of this converter lies in its inherent ability to generate a sinusoidal voltage source without the need for capacitive filtering components, which can adversely affect cost, efficiency, and size while potentially contributing to resonance problems. This is achieved through a judicious combination of harmonic cancellation within a three-winding transformer and the utilization of Selective Harmonic Elimination Pulse Width Modulation (SHE PWM) dismissing a closed-loop control structure. Simulation results presented in this work demonstrate the satisfactory performance of the ZHD grid-forming converter.

关键词：

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Enhancing Acute Ischemic Stroke Diagnosis Using IoMT and Deep Learning Technologies

Enhancing Acute Ischemic Stroke Diagnosis Using IoMT and Dee...

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2024 International Telecommunications Conference, ITC-Egypt 2024

作者： El-Sheikh, Mohamed M. Bayoumy, Aya Ahmed, Nada M. Mohamed Eldeeb, Amany Rabea, Fatma I. Nawar, Amira A. Khattap, Mohamed G. Galal Eldeen Mohamed Ali Hassan, Hend Mostafa, Mariam Ibrahim, Nayra Ramadan, Reem Refaat, Yomna Khaled, Mennatallah Maher, Ali Abd Elaziz, Mohamed Gamal Abdellatif Ibrahim, Ahmed Radiology and Medical Imaging Faculty of Applied Health Sciences Galala University Suez435611 Egypt Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Artificial Intelligence Science Program Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Air Defense College Department of Electronics and Electrical Communications Engineering Alexandria Egypt

ISBN: (纸本)9798350351408

This paper introduces an alternative technique for diagnosing Acute Ischemic Stroke within the IoMT environment. In the proposed approach, the collected data is transmitted to a cloud-based center where the technique utilizes EfficientNet, a deep learning model, designed to extract features from MRI images thereby enhancing the detection of acute ischemic infarctions. The performance of EfficientNet is compared against two other models, CNN and MobileNet, demonstrating its superior efficacy through metrics such as accuracy, precision, recall, and F1-score, which stand at 92.31%, 92.28%, 92.33%, and 92.30%, respectively. © 2024 IEEE.

关键词： Contrastive Learning

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A 28 GHz Power Amplifier Combing Linearizer, Adaptive Bias and Gm Compensation to Improve Back-off and P1dB Efficiency 50

A 28 GHz Power Amplifier Combing Linearizer, Adaptive Bias a...

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50th European Microwave Conference, EuMC 2020

作者： Chang, Yu-Teng Hung, Li-Cheng Lu, Hsin-Chia National Taiwan University Graduate Institute of Electronics Engineering Department of Electrical Engineering Taipei Taiwan

ISBN: (纸本)9782874870590

In this paper, we propose an efficiency enhanced CMOS power amplifier (PA) at 28 GHz. This work is the first time using the cross-couple pair (CCP) to be the gm compensation technique to improve AM-AM distortion at the power stage. In addition, we also use the linearizer and adaptive bias to extend the linear power region and increase back-off efficiency. In order to improved PAE in wide input power range, the adaptive bias, linearizer, and gm-compensation are used for low/medium/high power regions, respectively. The peak gain is 22.72 dB and 3-dB bandwidth is 5.7 GHz. At P1dB, the measured output power and PAE are 16.73 dBm and 21.37 %. The measured Psat and peak PAE are 17.68 dBm and 23.56 %. The measured back-off 6 dB PAE is 10.8 %. The total dc power consumption is only 97 mW for 1.2 V supply voltage. To our best knowledge, this PA has higher gain, better back-off PAE, and outstanding FoM. © 2021 EuMA.

关键词： Power amplifiers

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A New Three-Level Split-Inductor T-Type Inverter

A New Three-Level Split-Inductor T-Type Inverter

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Lucas Vinicius de Araújo Gomes Montiê Alves Vitorino Maurício Beltrão de Rossiter Corrêa Graduate Program in Electrical Engineering (PPgEE–COPELE) Industrial Electronics and Machine Drive Laboratory (LEIAM) Federal University of Campina Grande (UFCG)

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

Some of the key requirements and trends in power electronics in recent years include improving efficiency as well as providing a energy quality while using a converter with high power density and long lifetime. Following these tendencies, multilevel T-type converters have the potential to improve the efficiency and performance of power conversion systems, especially in the renewable energy industry. A new multilevel converter with split-inductors is proposed, that offers dead-time elimination, shoot-through protection, ringing suppression and improved efficiency. Since the split-inductors are always connected in series with the switches, the protection against shoot-through is achieved by regulating the circulating current, eliminating the need for dead-time. Simulation and experimental results were shown to prove the functionality of the proposed converter.

关键词： Renewable energy sources Power system measurements Multilevel converters Market research Inverters Topology Power conversion Protection Signal analysis Integrated circuit reliability

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Low-Resolution Face Recognition for CCTV and Edge-Powered Smart Attendance Systems

Low-Resolution Face Recognition for CCTV and Edge-Powered Sm...

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IEEE Annual International Computer Software and Applications Conference (COMPSAC)

作者： Nico Surantha Edward Yose Sani Muhamad Isa Department of Electrical Electronics and Communication Engineering Faculty of Science and Engineering Tokyo City University Tokyo Japan Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350376968

ISBN: (纸本)9798350376975

Attendance systems have become more modern, and one of the biometric systems without physical contact is face recognition. However, many face-based attendance systems still carry out attendance individually and cannot detect multiple faces simultaneously. In addition, capturing facial data in real-time is still a challenge because the relatively large distance between the camera and the individual reduces the ability to recognize faces. The general solution is to use super-resolution to generate better-quality faces while maintaining the main facial recognition features. One technique still being researched is super-resolution generative adversarial networks (SRGAN). SRGAN can enlarge the resolution of captured images and maintain image quality sufficient for face recognition. The attendance system can be easily integrated into edge devices such as the Jetson Nano. This paper proposes automatic and effective attendance systems with the super-resolution technique to detect and recognize faces in low-resolution input. The experimental results show that using face data capture with a resolution of 40 × 40 pixels and a four-fold magnification results in a resolution of 160 × 160 pixels. Combining Face SRGAN with FaceNet architecture as the basis of face recognition can achieve an accuracy rate of 78.19% and an F1-Score of 81.13% with an average processing time of 1.61 seconds per frame on a PC and 14.55 seconds per frame on a Jetson Nano at an average of face recognition per frame of as many as up to 8 faces simultaneously.

关键词： Support vector machines Image quality Accuracy Face recognition Image edge detection Superresolution Generative adversarial networks

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