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Energy Conversion and Economics 2022年第2期3卷 72-84页

作者： Usman, Adil Rajpurohit, Bharat Singh School of Computing and Electrical Engineering Indian Institute of Technology-Mandi Mandi India Electrical and Computer Engineering Department University of California Santa CruzCA United States

This study investigates partial demagnetization faults arising from stator interturn faults in a surface-mounted permanent-magnet-type brushless direct current motor. Because of rotor demagnetization, the fault severity increases significantly owing to an increase in the stator phase current and temperature. The effect of such a fault is reflected in machine parameters such as the motor back-EMF and radial magnetic flux, which are used to analyse the characteristics of faults. A mathematical model of a machine under possible fault conditions is developed using the finite element method and advanced hybrid model approaches. Experimental investigations are conducted to validate the proposed methodology. Subsequently, the machine parameters used for fault diagnosis are employed to develop an online expert-based system that can detect, classify and estimate the percent increase in the values of the parameters to determine the fault severity of the machine under fault conditions. It is discovered that the proposed approach is suitable for industrial and commercial applications in electric vehicles, where the machine's state-of-health estimation is crucial for avoiding major faults that may result in its failure. © 2022 The Authors. Energy Conversion and Economics published by John Wiley & Sons Ltd on behalf of The Institution of engineering and Technology and the State Grid of China Economic & Technological Research institute Co Ltd.

关键词： Failure analysis

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Simulation of a 100 MW Grid-Connected Solar Power Plant and MPPT Control Using the PSO-P&O Technique 11th

Simulation of a 100 MW Grid-Connected Solar Power Plant and ...

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11th EAI International Conference on Advancement of Science and Technology, ICAST 2023

作者： Bruk, Betelhem Dereje Shewarega, Fekadu Belay, Birhanu Hailu Yenealem, Mezigebu Getinet Negash, Dereje Shiferaw Faculty of Electrical and Computer Engineering Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia University Duisburg-Essen Essen Germany Faculty of Computing Bahir Dar Institute of Technology Bahir Dar University Bahir Dar Ethiopia School of Electrical and computer Engineering Addis Ababa Institute of Technology Addis Ababa Ethiopia

ISBN: (纸本)9783031641503

Among the most prominent sources of alternative power in recent years is solar energy. Thus, photovoltaic (PV) systems need to be made more efficient and reliable. A PV panel’s conversion capacity is between 23% and 24% when it converts solar energy to electricity. However, the average conversion efficiency for most PV panels was around 15–20%. Identifying the maximum power point (MPP) on PV panels is one way to increase conversion efficiency. MPPT system control is presented and discussed in this paper for a 100 MW system in Metehara, Ethiopia. The aim of this paper is to present a novel hybrid approach for maximum power point tracking (MPPT). A particle swarm optimization (PSO) algorithm and a P&O MPPT technique are combined in this method. In order to achieve the MPP with improved speed and accuracy, the algorithm goes through a series of stages. MATLAB/Simulink was used to model the proposed algorithm under different operating conditions. Through comprehensive simulations across diverse input conditions, the proposed approach’s MPP tracking performance is assessed. When compared with systems lacking MPPT techniques, the hybrid approach demonstrates an average efficiency of 99.76%. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： MATLAB

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A SPRINT-Based Single Photon Subtractor for PNS Attacks on QKD

A SPRINT-Based Single Photon Subtractor for PNS Attacks on Q...

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Photonics North

作者： Abdolreza Pasharavesh Michal Bajcsy Institute for Quantum Computing University of Waterloo Waterloo ON Canada Electrical and Computer Engineering Department University of Waterloo Waterloo ON Canada

ISBN: (数字)9798350366365

ISBN: (纸本)9798350366372

We present a photon subtraction scheme designed to deterministically extract single photons from multiphoton states within arbitrary input pulses of light using single-photon Raman interaction (SPRINT) [1]. The proposed system comprises two cascaded Lambda-type atoms with transitions selectively coupled to distinct modes of a single chiral waveguide. Through numerical simulations, we evaluate the device's performance in a potential application involving photon-number-splitting (PNS) attacks against quantum key distribution (QKD).

关键词： Waveguide transitions Performance evaluation Atoms Numerical simulation quantum key distribution Photonics

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Monte Carlo modelling of Raman signal enhancement using power-efficient Apple processors 15

Monte Carlo modelling of Raman signal enhancement using powe...

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Biomedical Light Scattering XV 2025

作者： Vladyko, Ilya Yakovlev, Vladislav Doronin, Alexander School of Engineering and Computer Science Victoria University of Wellington Wellington6140 New Zealand Department of Biomedical Engineering Department of Electrical and Computer Engineering Department of Physics and Astronomy Institute for Quantum Science and Engineering Texas A&M University College StationTX77843 United States

ISBN: (纸本)9781510683884

Modern optical technologies encompass classical light phenomena and non-linear effects, crucial for biomedical imaging and therapies. Despite substantial interest and many experimental studies, non-linear optical effects in inhomogeneous scattering media require extensive computer modeling to understand light-material interactions. This report focuses on Monte Carlo simulations of Raman scattering in turbid media, such as biological tissues, essential for clinical applications. We developed a novel, open-source, power-efficient Monte Carlo algorithm optimized for Apple s M-series chips. By incorporating single-photon tracking, the algorithm accurately models time-resolved light-Tissue interactions. Validated against experiments, it matches traditional methods accuracy while offering superior efficiency, advancing Raman functional imaging. © 2025 SPIE.

关键词： Tissue

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Mapping the temporal evolution of the refractive index in few-femtosecond time-varying media

Mapping the temporal evolution of the refractive index in fe...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Segal, Ohad Lyubarov, Mark Fruhling, Colton Boltasseva, Alexandra Shalaev, Vladimir M. Segev, Mordechai Solid State Institute Technion-Israel Institute of Technology Haifa Israel Elmore Family School of Electrical and Computer Engineering Birck Nanotechnology Center Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN United States

We present the temporal evolution of the refractive index of a homogenous time-varying medium, reconstructed from experimental time-gated measurements of optical time-refraction in the single-cycle regime. © Opti... 详细信息

ISBN: (纸本)9781957171395

关键词： Optical depth

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Generating Schrodinger's Kitten State From Coherent Pulses via Deterministic Photon Subtraction

Generating Schrodinger's Kitten State From Coherent Pulses v...

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Abdolreza Pasharavesh Michal Bajcsy Institute for Quantum Computing University of Waterloo Waterloo ON Canada Department of Electrical and Computer Engineering University of Waterloo Waterloo ON Canada

We propose a scheme to generate Schrodinger's kitten states by subtracting single photons from coherent pulses through single-photon Raman interaction. Our findings suggest fidelities exceeding 99%, offering a pro... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Electro-optical waveguides Photonics

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Navigating IoT Security:Insights into Architecture,Key Security Features,Attacks,Current Challenges and AI-Driven Solutions Shaping the Future of Connectivity

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computers, Materials & Continua 2024年第12期81卷 3499-3559页

作者： Ali Hassan N.Nizam-Uddin Asim Quddus Syed Rizwan Hassan Ateeq Ur Rehman Salil Bharany Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan Department of Biomedical Engineering HITEC UniversityTaxila47080Pakistan Department of Electronics Engineering University of ChakwalChakwal48800Pakistan Department of Computer Science NFC Institute of Engineering and Fertilizer ResearchFaisalabad38000Pakistan School of Computing Gachon UniversitySeongnam-si13120Republic of Korea Chitkara University Institute of Engineering and Technology Chitkara UniversityRajpura140401PunjabIndia

Enhancing the interconnection of devices and systems,the Internet of Things(IoT)is a paradigm-shifting *** security concerns are still a substantial concern despite its extraordinary *** paper offers an extensive review of IoT security,emphasizing the technology’s architecture,important security elements,and common *** highlights how important artificial intelligence(AI)is to bolstering IoT security,especially when it comes to addressing risks at different IoT architecture *** systematically examined current mitigation strategies and their effectiveness,highlighting contemporary challenges with practical solutions and case studies from a range of industries,such as healthcare,smart homes,and industrial *** results highlight the importance of AI methods that are lightweight and improve security without compromising the limited resources of devices and computational *** networks can ensure operational efficiency and resilience by proactively identifying and countering security risks by utilizing machine learning *** study provides a comprehensive guide for practitioners and researchers aiming to understand the intricate connection between IoT,security challenges,and AI-driven solutions.

关键词： Internet of Things(IoT) artificial intelligence(AI) IoT architecture security attacks in IoT

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A Survey of Integrating Generative Artificial Intelligence and 6G Mobile Services: Architectures, Solutions, Technologies and Outlooks

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IEEE Transactions on Cognitive Communications and Networking 2025年第3期11卷 1334-1356页

作者： Liu, Yi-Jing Du, Hongyang Xu, Xinyi Zhang, Ruichen Feng, Gang Cao, Bin Niyato, Dusit Kim, Dong In Jamalipour, Abbas Letaief, Khaled B. Tafazolli, Rahim University of Electronic Science and Technology of China National Key Lab on Wireless Communications Chengdu China University of Hong Kong Department of Electrical and Electronic Engineering Pok Fu Lam Hong Kong Nanyang Technological University College of Computing and Data Science Singapore Singapore Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of University of Sydney School of Electrical and Computer Engineering Sydney Australia Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong University of Surrey Institute for Communication Systems School of Computer Science and Electronic Engineering United Kingdom

Generative artificial intelligence (GenAI) is rapidly driving a new phase of artificial intelligence revolution, marked by various applications such as ChatGPT, Sora and DeepSeek. With powerful capabilities in content generation, personalization and user interaction, GenAI can drive significant enhancements in various mobile services to satisfy individual user preferences. Meanwhile, mobile services offer substantial support for accessibility, functionality and intelligence of GenAI applications. However, current research on integrating GenAI and mobile services remains nascent, lacking necessary theoretical and technical support. In this survey, we break down a new vision to guide research on integrating GenAI and mobile services, aiming to improve 6G intelligence levels and enable 6G mobile networks to support the integration of GenAI and mobile services effectively. We begin by examining the necessity of integrating GenAI with 6G mobile services and exploring potential learning architectures of GenAI models within mobile networks. Next, we analyze potential solutions from two perspectives: how 6G mobile networks empower GenAI and how GenAI enables mobile services. We subsequently explore a promising use case, along with essential features and techniques, to facilitate the integration of GenAI and mobile services. Finally, we discuss future research directions, aiming at realizing intelligent 6G networks. © 2015 IEEE.

关键词： Generative adversarial networks

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Mobile Edge computing for Multi-Services Digital Twin-Enabled IoT Heterogeneous Networks

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IEEE Transactions on Cognitive Communications and Networking 2024年第3期11卷 1845-1853页

作者： Liu, Weiqi Hossain, Mohammad Arif Ansari, Nirwan Auburn University at Montgomery Department of Computer Science and Computer Information Systems MontgomeryAL36117 United States Middle Tennessee State University Department of Engineering Technology MurfreesboroTN37132 United States New Jersey Institute of Technology Advanced Networking Laboratory Department of Electrical and Computing Engineering NewarkNJ07102 United States

A scheme for edge computing-enabled offloading in a digital twin (DT) enabled heterogeneous network (HetNet) of multi-services IoT devices (IDs) is proposed. This scheme optimizes the association and handover of IDs, offloading ratio, and resource allocation considering the number of IDs, deadline requirements, and resource capacities. The objective is to enhance future generation networks by considering the ID movement, diverse ID requests, and network heterogeneity. We formulate the problem as Joint ID assOciatIon, offloadiNg ratio, Wireless bandwidth and computing reSource allocation, and digital twin placEment (JOINWISE), aiming to minimize the task completion time of all IDs while considering ID movement. Since JOINWISE is a mixed-integer nonlinear problem, we decompose it into two sub-problems: the ID Association (IDA) problem and the offloading Ratio, DT plAcement, bandwiDth and computing resource allOcation (RADIO) problem. IDA can be solved by mapping it to a multi-dimensional multiple knapsacks problem. Due to the non-convexity, high dimension of decision variables, and dynamic HetNet environment of RADIO, we propose a deep deterministic policy gradient (DDPG) based reinforcement learning method to iteratively solve the two sub-problems. Simulation results have confirmed the effectiveness of our proposed scheme in tackling the JOINWISE problem. © 2015 IEEE.

关键词： Mobile edge computing

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AOBL-IPACO: A novel and optimized algorithm to mitigate losses in electrical grid systems

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International Journal of Information Technology (Singapore) 2025年第3期17卷 1919-1927页

作者： Gupta, Rahul Khanna, Ashish Virdee, Bal School of Electrical and Electronics Engineering Maharaja Agrasen Institute of Technology Himachal Pradesh India School of Computer Science Engineering & amp Technology Maharaja Agrasen Institute of Technology Delhi India School of Computing & amp Digital London Metropolitian University London United Kingdom

This paper shows the framework for solving the economic optimization problem in electrical grid system using Advanced Oppositional Based Learning (AOBL) technique with Invasive Plant Ant Colony Optimization (IPACO) algorithm. The work focuses on application of newly developed algorithm called Advance Oppositional Invasive Plant Ant Colony Optimization (AOIPACO) to solve the various constraints of single objective problem. The artificial algorithm leads to direction of exploration for new space of ant colonies with process of threats elimination from native candidates in energy management. During simulation process, the proposed algorithm reduces the power loss along with improvement of cost factor and computational time. The proposed AOIPACO approach is implemented on standard IEEE-5, 13 and 40 bus systems and generates optimal results as compared to other conventional techniques while solving the complex problem of optimization. Further, this meta heuristic technique help to improve the quality of power market system with minimum computation error at fast convergence rate. © Bharati Vidyapeeth's institute of computer Applications and Management 2024.

关键词： Cost function Economic and Emission Dispatch (EED) Invasive Ant Colony Optimization Invasive Plant Optimization Oppositional Base Learning (OBL)

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