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arXiv 2023年

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

State of the art (SOTA) neural text to speech (TTS) models can generate natural-sounding synthetic voices. These models are characterized by large memory footprints and substantial number of operations due to the long-standing focus on speech quality with cloud inference in mind. Neural TTS models are generally not designed to perform standalone speech syntheses on resource-constrained and no Internet access edge devices. In this work, an efficient neural TTS called EfficientSpeech that synthesizes speech on an ARM CPU in real-time is proposed. EfficientSpeech uses a shallow non-autoregressive pyramid-structure transformer forming a U-Network. EfficientSpeech has 266k parameters and consumes 90 MFLOPS only or about 1% of the size and amount of computation in modern compact models such as Mixer-TTS. EfficientSpeech achieves an average mel generation real-time factor of 104.3 on an RPi4. Human evaluation shows only a slight degradation in audio quality as compared to FastSpeech2. © 2023, CC BY-NC-SA.

关键词： Speech synthesis

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Power Quality Assessment of Oil and Gas Platform with High Penetration of Floating Offshore Wind Power 8

Power Quality Assessment of Oil and Gas Platform with High P...

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8th Southern Power electronics Conference and the 17th Brazilian Power electronics Conference, SPEC / COBEP 2023

作者： Medeiros, Kassiane De Sousa Callegari, João Marcus Soares Da Rocha, Lorrana Faria Brandão, Danilo Iglesias Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Norwegian University of Science and Technology Department of Electric Energy Trondheim Norway

ISBN: (纸本)9798350321128

This paper aims to analyze the effect on power quality of a Floating Production Storage and Offloading (FPSO) power system under high penetration of wind-based power generation. A set of results simulated in MATLAB/Simulink® is shown to assess different operational scenarios of a typical Brazilian FPSO, from Mero Oil Field. The floating offshore wind power penetration is varied from 10 to 50 MW and the FPSO power quality effects are reported;then the effect of increasing the umbilical distance from 12 to 150 km between the wind farm and FPSO is evaluated;and finally, the reduction in the number of gas turbine generators (3 and 2 generators) is performed. The conclusions are drawn based on steady-state and transient voltage and frequency profiles;active and reactive power flow between loads and generation;the rate of change of frequency and the minimum frequency reached under the disturbance event when a wind generation loss of 10 MW is triggered. © 2023 IEEE.

关键词： Floating production storage and offloading isolated power systems power quality wind power generation

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First Demonstration of HZO-LNOI Integrated Ferroelectric Electro-Optic Modulator and Memory to Enable Reconfigurable Photonic Systems

First Demonstration of HZO-LNOI Integrated Ferroelectric Ele...

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2023 International Electron Devices Meeting, IEDM 2023

作者： Xu, Zefeng Chen, Chun-Kuei Lin, Hong-Lin Gao, Yuan Ke, Wei Xu, Baochang Dmitriev, Pavel Arbiz, Carlan Zamburg, Evgeny Touzard, Steven Cai, Xinlun Lee, James Venkatesan, Suresh Danner, Aaron Thean, Aaron Voon-Yew Department of Electrical and Computer Engineering Singapore Nus Graduate School Integrative Sciences and Engineering Program Singapore 117583 Singapore School of Electronics and Information Technology 117583 Singapore Centre for Quantum Technologies Nus Singapore Poet Technologies Canada Sun Yat-Sen University 510275 China

ISBN: (纸本)9798350327670

We have successfully demonstrated, for the first time, an innovative back-end-of-line (BEOL) compatible electro-optic modulator and memory (EOMM) based on Lithium Niobate on Insulator (LNOI) micro-ring resonator (MRR) integrated with Ferroelectric Hafnium Zirconate Hf0.5Zr0.5O (HZO) non-volatile analog memory. High non-volatile memory and modulation performances are both achieved in a single compact device, exhibiting high extinction ratio of 13.3 dB, excellent efficiency of 66pm/V, stable nine-state switching, record-high endurance exceeding 109 cycles. This is accomplished by utilizing Pockels effect in LNOI, induced by electric-field effect from remnant HZO ferroelectric polarization. We studied the system implementation of reconfigurable chiplet-interposer photonic interconnect, enabled by the EOMM and EOMM with hybrid thermal-optical modulation. Our model shows a potential 70% energy efficiency improvement over conventional electrical interposer interconnect. We have also tested the integration of the EOMM with POET technologies' 400G Tx/Rx optical interposer chip and studied a limited scale demonstration of the EOMM device. © 2023 IEEE.

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Performance Investigation of a New Chaotic Search Method for Vehicle Routing Problem with Drones 16th

Performance Investigation of a New Chaotic Search Method for...

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16th International Conference on Genetic and Evolutionary Computing, ICGEC 2024

作者： Nakajima, Kazuma Matsuura, Takafumi Kimura, Takayuki Graduate School of Electronics Information and Media Engineering Nippon Institute of Technology 4-1 Gakuendai Miyashiro Saitama Minami-Saitama345-8501 Japan Department of Data Science Faculty of Advanced Engineering Nippon Institute of Technology 4-1 Gakuendai Miyashiro Saitama Minami-Saitama345-8501 Japan Department of Electrical Electronics and Communication Engineering Faculty of Fundamental Engineering Nippon Institute of Technology 4-1 Gakuendai Miyashiro Saitama Minami-Saitama345-8501 Japan

ISBN: (纸本)9789819615346

Transport and logistics operated by unmanned aerial vehicles, commonly known as drones, have attracted attention in recent years for their potential to revolutionize the transport industries. For example, Amazon was the first to use drones to deliver goods. Several distribution companies have since been working on similar services. To find effective delivery routes by using vehicles and drones, a flying sidekick traveling salesman problem has firstly been formulated. This problem constructs a delivery route by using a single drone and a single vehicle. In further formulation of this problem, vehicle routing problem with drones (VRPD), in which several numbers of drones and vehicles deliver goods to customers, has been formulated. We have already proposed a solution search method based on chaotic neurodynamics for VRPD. In this article, to further achieve effective search capability for VRPD, we change neural codings of chaotic neural networks according to the combinations of neighborhood operations. Experimental results show that our proposed method exhibits better objective function values than those by the conventional chaotic search method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Drones

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Hybrid Machine Learning Approach for Enhanced Vulnerability Detection in Cloud Environments Using NIST and MITRE Frameworks 5

Hybrid Machine Learning Approach for Enhanced Vulnerability ...

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5th International Conference on Advanced Research in Computing, ICARC 2025

作者： Lasantha, N W Chanaka Maduranga, M.W.P. Abeysekara, Ruvan Tilwari, Valmik Chakraborty, Nilotpal Sharma, Debashree Iic University of Technology Faculty of Graduate Studies Phnom Penh Cambodia University of Sri Jayewardenepura Department of Electrical and Electronic Engineering Nugegoda Sri Lanka Bcas Campus Faculty of Computing Colombo Sri Lanka Indian Institute of Information Technology Department of Computer Science Engineering Guwahati India Indian Institute of Information Technology Department of Electronics & Communication Engineering Guwahati India

ISBN: (纸本)9798331530983

Cloud security is challenged by constant adaptive cyber threats and traditional detection methods lack real time adaptability. In this paper, we propose a new hybrid ML approach stitching data from National Institute of Standards and Technology (NIST) and MITRE Adversarial Tactics, Techniques and Common Knowledge (ATT&CK) databases together. In contrast to existing methods, this framework combines, in unique and unprecedented fashion, ensemble ML models and Realtime data processing for increased detection accuracy and reduced false positives. This approach addresses specific challenges in the cloud environments and by leveraging standardised frameworks, it offers actionable audiences for efficient and effective vulnerability management process. The framework is validated by the experimental results which prove its robustness to evolution of the cybersecurity demands. © 2025 IEEE.

关键词： Cyber attacks

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Analysis of Loss Tangent in Current Transformers Using the Finite Element Method 23

Analysis of Loss Tangent in Current Transformers Using the F...

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23rd International Symposium on High Voltage engineering, ISH 2023

作者： Leite Neto, Antonio F. Guedes, Edson G. Vilar, Pablo B. Lira, George R.S. Andrade, Filipe L.M. Melo, João Victor J. Junior, Almir C.S. Marotti, Ana C.F. Costa, André I. Souza, João Paulo A. Electrical Engineering Graduate Program Federal University of Campina Grande Campina Grande Brazil Department of Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Department of Electrical Engineering Federal Institute of Paraiba Patos Brazil Eletrobras Furnas Electric Power Furnas Rio de Janeiro Brazil Concert Concert Technologies Belo Horizonte Brazil

ISBN: (纸本)9781839539954

Failures in Current Transformers (CTs) can have a significant financial impact on utilities, causing revenue loss, service interruptions, and even damage to nearby equipment. To minimize the effects of CT degradation on the electrical system, predictive techniques and continuous monitoring are essential. One such tool that can aid in the supervision and diagnosis of equipment in service is the loss tangent. This parameter is directly related to the aging and degradation of electrical insulation, making it a useful indicator of possible failures in CTs. Therefore, this work aims to perform computer simulations using the finite element method (FEM) to simulate the effect of oil and paper degradation on the loss tangent values of a 230 kV current transformer. To achieve this, the COMSOL Multiphysics® software was used to verify the loss tangent as a function of the conductivity of parameters correlated to the CT dielectric. The results of the simulations show that the degradation of oil and paper substantially increases the value of the loss tangent. Additionally, it was found that the simultaneous or individual degradation of oil and paper have different effects on the loss tangent values obtained. The findings of this study demonstrate the usefulness of loss tangent as a tool for the diagnosis and supervision of electrical equipment in service. © The Institution of engineering & Technology 2023.

关键词： Distribution transformers

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Deep Learning Based Navigation System for Train Line Equipment Inspection Using Drones

Deep Learning Based Navigation System for Train Line Equipme...

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Information Technology and Digital Applications (ICITDA), IEEE International Conference on

作者： Yuki Hosono Nico Surantha Department of Electrical Electronics and Communication Engineering Graduate School of Science and Engineering Tokyo City University Tokyo Japan Department of Electrical Electronics and Communication Engineering Faculty of Science and Engineering Tokyo City University Tokyo Japan

ISBN: (数字)9798331510732

ISBN: (纸本)9798331510749

Early damage detection and regular train overhead line equipment inspection are essential for safe and reliable train operation. Traditionally, these inspections have been conducted directly by power line engineers at night. However, such methods face challenges like a shrinking workforce and limited mobility. Attempts have been made to enhance mobility by installing cameras on test vehicles, yet the analysis of captured images still requires manual intervention. With the advancement of drones, high-resolution cameras, and deep learning technology, AI-based inspections using drones have become a promising solution. This study aims to develop an AI-based drone navigation system for automated inspection of train overhead line equipment, focusing on improving inspection efficiency and accuracy through model training for future drone deployment. In this study, a simulator was employed to generate images of overhead line facilities, and a machine learning model was trained using these images, based on the concepts of Dronet and FlowDronet from previous studies. The model's performance was evaluated using varying numbers of training images. A test dataset was created from images captured by a drone in flight and processed with optical flow techniques. The results revealed that the model trained with 22000 images achieved the highest performance, with an Average accuracy of 87.90%, a Collision Recall of 89.60%, and a Non-Collision Recall of 85.99%. These findings underscore the importance of larger datasets in enhancing model generalization capabilities and demonstrate the effectiveness of utilizing drones and AI for automated inspection of train overhead line equipment.

关键词： Training Deep learning Adaptation models Visualization Accuracy Navigation Transfer learning Inspection Cameras Drones

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A Dual-Band Circularly Polarized Bi-Sectoral Waveguide Horn Antenna for High Power LEOP TT&C Systems 3

A Dual-Band Circularly Polarized Bi-Sectoral Waveguide Horn ...

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3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022

作者： Alkin, Esra Turkmen, Ceyhan Secmen, Mustafa Yasar University Graduate School Izmir Turkey Yasar University Department of Electrical and Electronics Engineering Izmir Turkey

ISBN: (纸本)9789463968058

In this study, a dual-band circularly polarized bi-sectoral waveguide antenna is proposed, which is used launch and early orbit phases (LEOP) of telemetry, tracking and command (TT&C) applications of satellite systems to almost cover full space together with omni-directional (toroidal) antennas. The structure consists of four parts (pyramidal horn antennas) each having excited by a single inclined slot being cut over circular waveguide. However, because the overall antenna is only fed with a single rectangular waveguide, it works as transceiver (in TX and RX bands simultaneously). The parts belonging to each band have bi-directional patterns being opposite to each other. Therefore, instead of using four separate antennas each being fed by separate rectangular waveguide to cover both directions in dual band (TX and RX bands) in 3D space, one antenna with just one feed is demonstrated as being sufficient for same purpose. For this purpose, an antenna is designed for a Ku-band TT&C application. The results show that the antenna is dual-band over 500 MHz bandwidth around 11.75 GHz (TX) and 13.75 GHz (RX) center frequencies. The antenna has more than 9.5 dBi peak gain in both main lobes and 15 dB return loss at TX band;and has more than 10 dBi peak gain and 10 dB return loss at RX band. Besides, it has less than 3 dB and 3.5 dB axial ratio (AR) values at TX and RX bands within almost 45º and 60º azimuth and elevation beamwidth values, respectively. © 2022 URSI.

关键词： Orbits

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FPGA-based Implementation of Random Forest Classifier for sEMG Signal Classification 46

FPGA-based Implementation of Random Forest Classifier for sE...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Martins, Wagner Bagesteiro, Leia B. Weber, Tiago O. Balbinot, Alexandre Universidade Federal do Rio Grande do Sul Post-Graduate Program in Electrical Engineering Porto Alegre Brazil San Francisco State University Department of Kinesiology San FranciscoCA United States

This paper proposes a method that combines a hardware description language and Random Forests theory, to develop a motion recognition embedded system. To validate this system, the Ninapro database DB2 was used as trai... 详细信息

ISBN: (纸本)9798350371499

关键词： Random forests

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The Impact of Equipment Specifications on the Efficiency of Visual Inspection using Unmanned Aerial Vehicles

The Impact of Equipment Specifications on the Efficiency of ...

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International Conference on Control, Decision and Information Technologies (CoDIT)

作者： Weitong Wu Yuki Funabora Shinji Doki Kae Doki Department of Electrical Engineering and Computer Science Graduate School of Engineering Nagoya University Aichi Japan Department of Electrical and Electronics Engineering Aichi Institute of Technology Aichi Japan

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

This manuscript investigates the impact of unmanned aerial vehicles (UAVs) and their cameras’ key specifications on the efficiency of infrastructure visual inspections using UAVs. The challenges of UAV-based inspection data collection include reducing necessary waypoints to improve inspection efficiency while collecting desired data for sure. Existing studies generally concentrated on optimizing the efficiency of UAVs’ inspection trajectories and waypoints when equipment is given. However, the impacts of equipment specifications and their selections have not been investigated, yet they also significantly affect inspection efficiency. This manuscript surveys the key specifications of current equipment available for inspection and investigates the variation in efficiency through inspection simulations with different equipment specification combinations. Simulation results reveal that with the highest pose accuracy achievable by existing UAV platforms, it is possible to achieve efficient inspection. However, such high pose accuracy may be difficult to achieve, underscoring the importance of targeted selection of camera focal lengths according to UAV specifications and the types of pose errors. Additionally, using higher-resolution cameras may substantially improve the efficiency of high-resolution data collection tasks, which is a more practical solution for enhancing efficiency than further improvements in UAV pose accuracy. The conclusions drawn from this research provide actionable guidelines for equipment selection and development and lay the foundations of efficiency modeling, ultimately contributing to the advancement of UAV-based inspection methodologies.

关键词： Surveys Visualization Accuracy Inspection Data collection Autonomous aerial vehicles Cameras Trajectory Standards Guidelines

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