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4th International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2024

作者： Shukla, Adwitiya Department of Electrical Engineering and Computer Science University of Toledo ToledoOH United States

ISBN: (纸本)9783031837951

This study presents a comprehensive comparative analysis of electricity consumption patterns of USA and India, using a variety of basic and advanced Machine Learning (ML) techniques. ML can accurately predict and forecast the energy demand, allowing for more efficient management of energy grids. Herein, we utilized multiple basic and advanced ML models, including XGBoost, Convolutional Neural Networks, Long Short-Term Memory (LSTM) networks, Transformer models, and Reinforcement Learning (RL) for electricity demand modeling. All ML models were evaluated for accuracy of electricity consumption prediction over short-term and long-term periods. Additional datasets of climate, economic indicators, and renewable energy metrics were also incorporated to enhance the prediction accuracy. Results show that the Transformer models outperformed all other models, due to their ability to accurately capture long-range temporal dependencies for both countries. LSTM networks also demonstrated robust performance, particularly for India, where frequent electricity demand fluctuations are more prevalent. XGBoost performed well for short-term predictions, owing to its capability to handle non-linear relationships between the drivers. Furthermore, RL provided an innovative solution for electricity usage planning and management. This paper presents key insights for energy policymakers and companies on improving grid efficiency, integrating renewable energy sources, future planning and pricing policies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Adversarial machine learning

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T³Planner: Multi-Phase Planning Across Structure-Constrained Optical, IP, and Routing Topologies

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IEEE Journal on Selected Areas in Communications 2025年第5期43卷 1823-1839页

作者： Hao, Yijun Yang, Shusen Li, Fang Zhang, Yifan Zhao, Cong Ren, Xuebin Zhao, Peng Xu, Chenren Wang, Shibo Xi’an Jiaotong University National Engineering Laboratory for Big Data Analytics Xi’an710049 China Xi’an Jiaotong University National Engineering Laboratory for Big Data Analytics Ministry of Education Key Laboratory for Intelligent Networks and Network Security Xi’an710049 China Peking University School of Computer Science Beijing100871 China The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong National Engineering Laboratory for Big Data Analytics Xi'an Jiaotong University Xi'an710049 China

Network topology planning is an essential multi-phase process to build and jointly optimize the multi-layer network topologies in wide-area networks (WANs). Most existing practices target single-phase/layer planning, and are incapable of satisfying all rigorous topological structure constraints (e.g., dual-homing rings) defined by network standards and operators, especially in large-scale networks. These significantly limit their usability and performance in production networks. We consider a general topology planning problem with typical structure constraints over three essential phases (greenfield, reconfiguration, and site expansion) and topological layers (optical, IP, and routing topologies). We present, T3Planner, a novel practical solver to this problem in production. Specifically, we develop a structure-driven encoder based on graph neural network (GNN) for concise structure encoding, and design a new learning framework with optical-centric layer compression/reconstruction and rule-aided reinforcement learning (RL) for fast convergence and high performance. Extensive experiments on nine real topologies demonstrate that T3Planner scales to large optical networks with hundreds of sites, saves 46.6% cost, and supports 3.12x more demand when compared to related existing approaches. © 1983-2012 IEEE.

关键词： Network topology

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Implementation and Analysis of Direct Torque Control on High-Speed PMSMs: A Comparative Study of Commercial and Laboratory-Developed Motors 14

Implementation and Analysis of Direct Torque Control on High...

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14th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2025

作者： Moniruzzaman, Md Joshi, Kishor Rahman, Md Rashedul Islam, Md Khurshedul Choi, Seungdeog Ghartemani, Masoud Karimi Mississippi State University Department of Electrical and Computer Engineering Starkville United States Asml WiltonCT06897 United States

ISBN: (纸本)9798331516116

This paper analyzes the Direct Torque Control (DTC) algorithm applied to ultra-high-speed (UHS) Permanent Magnet Synchronous Motors (PMSMs) for applications up to 500,000 RPM. A sensor-less DTC algorithm is formulated and implemented using MATLAB-based automatic code generation, incorporating optimized speed, torque, and flux control loops for enhanced dynamic performance and computational efficiency. To ensure stable and precise speed transitions, an adaptive transition control mechanism is incorporated, which considers thermal and electrical constraints such as motor winding temperature, inverter limitations, and phase current regulation. This mechanism assists in managing acceleration profiles while maintaining system integrity at high speeds. Simulations have been conducted for two motors up to 500,000 RPM. Experimentally, the commercial motor operated at 110,000 RPM, and the lab-built - -A Mechanically Based Antenna (AMEBA) - -PMSM motor operated at 70,000 RPM with closed-loop operation. With modulation index regulation, AMEBA motor was also operated up to 150,000 RPM in open-loop operation. AMEBA has been developed for communications with submarines, underground mines, and underwater facilities. The study also compared DTC with Field-Oriented Control (FOC), under ultra-high-speed conditions. Furthermore, the effects of current sensor delays are analyzed, and a phase-advancing method is employed to mitigate their impact. Future work will involve operating both motors across their full speed range and addressing additional delays through hardware testing. © 2025 IEEE.

关键词： Traction motors

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A Highly-Scalable Integrated Silicon Photonics Neural Network Architecture

A Highly-Scalable Integrated Silicon Photonics Neural Networ...

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IEEE International Conference on Group IV Photonics

作者： Lingbo Duan Yang Lan Di Liang Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI USA

A highly scalable optical neural network architecture based on the PQ Compress method is proposed. By using reported photonic components on a heterogeneous silicon pho-tonic platform, a minimal 332× chip size red... 详细信息

ISBN: (数字)9798331506186

ISBN: (纸本)9798331506193

关键词： Quantization (signal) Neural networks Photonic integrated circuits Optical computing Optical fiber networks Silicon photonics

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AI-Powered Smart Glasses and Shoes for the Visually Impaired 6

AI-Powered Smart Glasses and Shoes for the Visually Impaired

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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Makanyadevi, K. Avinash, M.V. Chandhrakiran, S.V. Kavitha, S. Bhalaram Krishna, S.A. Dhiyanesh, S. Department of Computer Science and Engineering M.Kumarasamy College of Engineering Thalavapalayam Tamilnadu Karur India Department of Electronics and Communication Engineering M.Kumarasamy College of Engineering Thalavapalayam Tamilnadu Karur India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522667

This project proposes a wearable assistive system aimed at improving navigation for visually impaired individuals. The system integrates AI-powered smart glasses and specially designed shoes, working together to enhance the user’s ability to detect and avoid obstacles in their surroundings. Central to the system is the YOLO v8 (You Only Look Once) algorithm, a state-of-the-art deep learning model that enables real-time object recognition. The smart glasses use this model to detect and classify objects such as people, vehicles, and potential obstacles, providing immediate feedback to the user regarding their environment. In addition to the object recognition capabilities of the glasses, the system employs ultrasonic sensors in both the glasses and shoes to detect nearby objects or obstacles. These sensors measure the distance to obstacles and provide critical information on the proximity of objects. When an obstacle is detected within a dangerous range, the system alerts the user using a buzzer and a vibration sensor, enhancing their spatial awareness. The smart glasses are responsible for detecting forward-facing objects, while the shoes focus on ground-level obstacles, such as uneven surfaces or stairs, which are crucial for safe navigation. The system is controlled by an Arduino Uno microcontroller that processes data from the sensors and manages the alerts in real-time. Designed for cost-effectiveness, energy efficiency, and ease of maintenance, this wearable assistive system offers an innovative solution for visually impaired individuals, providing them with greater independence and safety in everyday navigation. Ultimately, this project aims to improve the quality of life for users by fostering increased mobility and confidence in navigating their environment. © 2025 IEEE.

关键词： Ultrasonic sensors

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Compact Model of β-Ga2O3 Schottky Barrier Diode

Compact Model of β-Ga2O3 Schottky Barrier Diode

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Abu Shahir Md Khalid Hasan Mohammad Dehan Rahman Tanzila Akter Md Majharul Islam Md Maksudul Hossain Xiaoqing Song H. Alan Mantooth Department of Electrical Engineering and Computer Science University of Arkansas Fayetteville Arkansas United States

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

Gallium oxide is emerging as a leading ultra-wide bandgap material for future applications. Metals with large work functions have been used with β-Ga 2 O 3 (the most stable polytype of gallium oxide) to form the Schottky barrier diode. In this work, a β-Ga 2 O 3 Schottky barrier diode has been characterized using the Keysight B1505A curve tracer. The IV characteristics of the β-Ga 2 O 3 die are measured with four probe measurements. A diode spice model for β-Ga 2 O 3 Schottky barrier diode has been developed based on diffusion mechanism and charge control continuity equation. A series resistance is also included in the diode spice model. The model has shown good agreement on both linear and logarithmic scale. Transient simulation for half and full bridge rectifier circuit has been performed with the model.

关键词： Resistance Schottky diodes Schottky barriers Rectifiers Bridge circuits Gallium oxide Mathematical models electrical resistance measurement Integrated circuit modeling Transient analysis

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Sustainable Energy Generation Trends - Insights from Python Analysis 2

Sustainable Energy Generation Trends - Insights from Python ...

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2nd International Conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Anonto, Hasanur Zaman Hossain, Md Ismail Zishan, Al Shahriar Akteruzzaman, Md Islam, Md Ashikul Shufian, Abu American International University-Bangladesh Department of Electrical and Electronic Engineering Dhaka Bangladesh Dhaka Bangladesh Lamar University Dept. of Electrical and Computer Engineering BeaumontTX United States

ISBN: (纸本)9798331506995

Energy systems around the world have relied heavily on fossil fuels, contributing to greenhouse gas emissions and environmental challenges. However, in alignment with global climate objectives, many regions are accelerating their transition toward renewable energy sources. This study examines the evolving energy production landscape in the Netherlands, where fossil fuel-based technologies are steadily being replaced with intermittent renewable sources, particularly solar and wind. This research uses Python for data preprocessing, trend analysis, and visualization to explore key temporal patterns in energy generation. The results reveal that by 2023, nearly half of the Netherlands' electricity demand will be met by renewable sources, with solar and wind energy contributing approximately 17.6% and 15%, respectively. These gains are driven mainly by photovoltaic (PV) projects and offshore wind installations. Despite these positive trends, challenges such as grid stability and negative pricing during periods of excess supply present significant obstacles. Addressing these issues will require innovative solutions to increase the reliability and efficiency of renewable energy supplies. This paper discusses potential strategies, including advanced energy storage and adaptive grid management systems, which can enhance renewable integration and support a resilient infrastructure. © 2025 IEEE.

关键词： Solar fuels

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Harmony in Urban Ecology: Integrating Green Roofs and Constructed Wetlands for Sustainable Urban Development

Harmony in Urban Ecology: Integrating Green Roofs and Constr...

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International Conference on Technological Innovations in Multidisciplinary engineering and sciences, TIMES 2024

作者： Hanumesh, Mithun Reddy, Lakkireddy Abhigna Mohan, M. Department of Civil Engineering Alliance University Karnataka562106 India Department of Computer Science and Engineering Alliance University Karnataka562106 India Department of Civil Engineering Alliance University Karnataka Bengaluru562106 India

ISBN: (纸本)9783031837494

The urban environment has severe problems with water scarcity and environmental sustainability. This study suggests an integrated approach that smoothly incorporates urban agriculture by mixing constructed wetlands with green roofs. This design supports rooftop gardening with treated wetlands water, creating a closed-loop system that simultaneously addresses several urban concerns. Rooftop agriculture is made feasible by the structural components of the design, such as planter boxes and load-bearing capacity calculations. To enhance space efficiency and promote a sustainable urban agricultural model, diverse vegetation and optimum design are employed. Constructed wetlands are easily incorporated into the water management system, providing drip irrigation with nutrient-rich water while maximizing resource efficiency and reducing water waste. Cities is working toward sustainable urban growth, and the combination of constructed wetlands, urban agriculture, and green roofs offers a flexible and viable way to achieve this goal. This model's success depends on its careful application in the local environment, continued community involvement, and a dedication to continuously improving the integrated green infrastructure. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Constructed Wetlands Green Roof Nature Based Solutions Sustainable Buildings Urban Agriculture Water Purification

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Flexible Sensors for IoT-Based Health Monitoring

IEEE Journal on Flexible Electronics

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IEEE Journal on Flexible Electronics 2025年第2期4卷 63-88页

作者： Majumder, Sumit Roy, Arup Kumer Mondal, Tapas Deen, M. Jamal Chittagong University of Engineering and Technology Department of Biomedical Engineering Chattogram4349 Bangladesh Chittagong University of Engineering and Technology Department of Chemistry Chattogram4349 Bangladesh McMaster University Department of Pediatrics HamiltonONL8S 4K1 Canada McMaster University School of Biomedical Engineering Department of Electrical and Computer Engineering HamiltonONL8S 4K1 Canada

The global population is aging due to increased life expectancy and declining birth rates. As a result, there is a growing prevalence of chronic diseases such as heart disease, hypertension, and diabetes, among the older population. These conditions not only diminish the quality of life but also significantly drive up healthcare costs. Consequently, the demand for efficient and cost-effective healthcare solutions is rising. Traditional healthcare systems are often challenged by issues of accessibility and equity, particularly in regions with inadequate medical infrastructure and geographic barriers. In response to these challenges, this article explores the potential of advanced flexible sensor technologies, integrated with cutting-edge communication and computing tools such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. These sensors enable continuous, unobtrusive monitoring of vital signs, and health parameters, facilitating personalized and preventive care in the comfort of an individual’s home. However, the widespread adoption of these technologies faces several obstacles, including challenges related to manufacturing scalability, cost, mechanical stability, and data security. This article reviews the current state of research and development in flexible sensors and their integration with modern technologies for IoT-based health monitoring. It also examines key challenges and concerns associated with their use and outlines the future potential for these sensors to revolutionize healthcare monitoring and management. © 2022 IEEE.

关键词： Costs

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CSI Robust Joint User Selection and Precoder Design in MIMO Downlink Systems

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IEEE Wireless Communications Letters 2025年

作者： Vaezy, Hossein Blostein, Steven D. Queen’s University Department of Electrical and Computer Engineering KingstonON Canada

In multiuser multiple-input multiple-output (MU-MIMO) systems, the selection of a subset of users to achieve the maximum sum rate is critical when resources are limited. In addition, designing suitable precoder and decoder matrices at the base station (BS) and at the user side requires unattainable perfect channel state information. In this letter, the downlink of a cellular system with multiple antennas at user equipments (UEs) is considered. A framework is derived for joint user selection and precoder/decoder design in the presence of imperfect channel estimation with neither instantaneous nor statistical error matrices. A robust method is proposed that incorporates a bounded worst-case channel in the design of precoders, decoders, and user selection. The optimization problem is solved iteratively by decomposition into multiple convex sub-problems which are solved successively. Finally, it is illustrated that for the case of a set of predesigned precoders, the interference pattern remains fixed for each user, implying that the problem of user selection could be transformed to that of beam selection. © 2025 IEEE. All rights reserved.

关键词： Channel estimation

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