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2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Najm, Rusul Awasthy, Neeta Kumari, E.N.Vijaya Lakhannal, Sorabh Sharma, Tarunika Singh, Anurag Prashanthi, Bh. College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Gl Bajaj Group of Institutions Department of Computer Science and Engineering U.P. Mathura India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India Lovely Professional University Phagwara India New Horizon College of Engineering Department of Applied Sciences Bangalore India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India Griet Department of Cse Telangana Hyderabad India

ISBN: (纸本)9798331527495

In the world of IoT healthcare right now, protecting the privacy of patients' medical data collected by wearable tracking devices is an urgent and important issue. It is very important that this condition be met. The Secure Health Data Aggregation and Homomorphic Encryption (SHAHE) method is being thought about as a possible alternative while this investigation is going on. We thought about the need for processing, data collection, and access control as we worked on the SHAHE approach. We can fully reach this goal by using homomorphic cryptography and safe aggregation methods. The main goal of the program is to protect people's privacy by making data value analysis better and reducing unauthorized access to important health information. This is the reason why the program was made. © 2025 IEEE.

关键词： Authentication

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Reconfigurable Intelligent Surfaces Enabling 6G Wireless Communication Systems: Use Cases and Technical Considerations

Reconfigurable Intelligent Surfaces Enabling 6G Wireless Com...

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Information Technology for Education and Development (ITED)

作者： Agbotiname Lucky Imoize Hope Ikoghene Obakhena Francis Ifeanyi Anyasi Joseph Isabona Stephen Ojo Nasir Faruk Department of Electrical and Electronics Engineering University of Lagos Nigeria Department of Electrical Engineering and Information Technology Institute of Digital Communication Ruhr University Germany Department of Electrical and Electronics Engineering Ambrose Alli University Nigeria Department of Physics Federal University Lokoja Nigeria Department of Electrical and Computer Engineering Anderson University USA Department of Physics Sule Lamido University Nigeria Directorate of ICT SLU Nigeria

Reconfigurable intelligent surfaces are rapidly emerging as candidate technology to support massive connectivity in the envisioned 6G wireless networks. By proactively reconfiguring the propagation space into a smart, programmable, and truly controllable entity via an array of inexpensive passive reflecting elements, a robust improvement in the spectrum and/or energy efficiency (EE) of wireless communication systems can be realized. This paper presents state-of-the-art solutions for some critical aspects of RIS-empowered wireless communication systems. In particular, an exposition on the fundamentals of RIS technology, including its structure and operation, competitive advantages over existing frameworks, system models, and potential use cases in wireless communication systems are broached. Last, a few open research issues and key takeaway lessons are highlighted.

关键词： Wireless communication 6G mobile communication 5G mobile communication Wireless networks Education Aerospace electronics Propagation losses

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Entanglement in Quantum Dots: Insights from Dynamic Susceptibility and Quantum Fisher Information

arXiv

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arXiv 2024年

作者： Abouie, Jahanfar Vashaee, Daryoosh Department of Physics Institute for Advanced Studies in Basic Sciences Zanjan45137-66731 Iran Department of Materials Science & Engineering North Carolina State University RaleighNC27606 United States Department of Electrical & Computer Engineering North Carolina State University RaleighNC27606 United States

This study investigates the entanglement properties of quantum dots (QDs) under a universal Hamiltonian where the Coulomb interaction between particles (electrons or holes) decouples into charging energy and exchange coupling terms. Although this formalism typically decouples the charge and spin components, confinement-induced energy splitting can induce unexpected entanglement within the system. By analyzing the dynamic susceptibility and quantum Fisher information (QFI), we uncover significant behaviors influenced by exchange constants, temperature variations, and confinement effects. In QDs with Ising exchange interactions, far below the Stoner instability (SI) point, where the QD is in a disordered paramagnetic phase, temperature reductions lead to decreased entanglement, challenging conventional expectations. Our findings demonstrate that for QDs with small exchange interactions, the responses of easy-plane (Jz ⊥) and easy-axis (Jz > J⊥) configurations are similar, with increased anisotropy broadening susceptibility and shifting its maximum to higher frequencies. For large exchange interactions, the susceptibility differences between easy-plane and easy-axis QDs become significant, with easy-plane QDs exhibiting a higher susceptibility magnitude. Additionally, the study reveals that temperature variations affect the dynamic response functions differently in easy-axis and easy-plane QDs. In easy-plane QDs, QFI consistently decreases with increasing temperature, whereas in easy-axis QDs, QFI behavior is highly dependent on the strengths of Jz and J⊥, showing either an increase or decrease with temperature based on specific coupling conditions. Conversely, at low temperatures, anisotropic Heisenberg models exhibit enhanced entanglement near isotropic points. Overall, this work contributes to advancing our understanding of entanglement in QDs and its potential applications in quantum technologies. Copyright © 2024, The Authors. All rights reserved.

关键词： Anisotropy

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Nanophotonic neural probe enabled light-sheet light-field fluorescence imaging microendoscope

Nanophotonic neural probe enabled light-sheet light-field fl...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Peisheng Ding Hannes Wahn Fu-Der Chen Xianshu Luo Guo-Qiang Lo Joyce K. S. Poon Wesley D. Sacher Max Planck Institute of Microstructure Physics Halle Germany Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada Advanced Micro Foundry Pte Ltd Singapore

We demonstrate a lensless volumetric imaging microendoscope for deep-brain fluorescence microscopy. It consists of a nanophotonic neural probe for light-sheet illumination and an image fiber bundle for light-field flu... 详细信息

ISBN: (纸本)9781957171258

关键词： Fiber bundles Fiber coatings Fluorescence microscopy Image quality Multicore fibers Plenoptic imaging

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Novel Bandpass and Periodic Frequency Responses in Non-Metallic Dielectric Metamaterials

Novel Bandpass and Periodic Frequency Responses in Non-Metal...

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International electrical engineering Congress (iEECON)

作者： Kritthanit Malathong Jessada Konpang Direk Boonthum Prayoot Akkaraekthalin Nonchanutt Chudpooti Phatsakul Thitimahatthanakusol Department of Electrical and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Krungthep Bangkok Thailand Division of Physics Faculty of Science and Technology Rajamangala University of Technology Krungthep Bangkok Thailand Bangkok Thailand Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut's University of Technology North Bangkok Bangkok Thailand Department of Telecommunication Engineering Faculty of Engineering and Technology Rajamangala University of Technology Isan Nakorn Ratchasima Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

This study explores the remarkable properties of the Box-Ball Structure (BBS) within the 1GHz to 50GHz frequency range. The BBS structure demonstrates consistent bandpass frequencies with a periodic response and maintains a uniform 2.058GHz bandwidth at S11 = -6dB. Unlike metal-based structures, where changing C and L values can lead to frequency-dependent responses, the dielectric BBS structure exhibits stability. Its dielectric properties, including epsilon, mu, and refractive index (n), remain largely unaffected by frequency variations. Furthermore, the BBS structure is found to induce capacitance (C), as per the principles of virtual circuit theory, making it suitable for band-pass filter applications. The liquid state of epoxy resin allows for versatile structural designs, such as a hollow cylinder for omnidirectional antenna signal filtration. This research introduces the BBS as a dielectric resonator with unique properties and potential applications in various industries, particularly in the mobile phone sector.

关键词： Industries Simulation Stability criteria Resonant frequency Refractive index Reliability theory Reliability engineering

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Reservoir Computing Using Networks of CMOS Logic Gates 2021

Reservoir Computing Using Networks of CMOS Logic Gates

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2021 International Conference on Neuromorphic Systems, ICONS 2021

作者： Komkov, Heidi Pocher, Liam Restelli, Alessandro Hunt, Brian Lanthrop, Daniel Department of Electrical and Computer Engineering College ParkMD United States IREAP Department of Physics College ParkMD United States Department of Physics College ParkMD United States Department of Mathematics College ParkMD United States

ISBN: (纸本)9781450386913

Reservoir computing is a brain-inspired architecture for machine learning, capable of rapid time series processing. A recurrent neural network called a reservoir is created, and a simple trained readout map is applied to the reservoir state. A real-world dynamical system at the edge of criticality can be used as a reservoir for information processing in place of a software model. In this paper we test the dynamics of a reservoir comprised of discrete digital logic chips on a printed circuit board. The logic gates run freely without a clock, exhibiting complex behavior that expands an input into a higher dimensional representation. By testing these circuits in a dataset-Agnostic manner, we identify promising configurations for machine learning. We demonstrate that the reservoir circuit substantially improves the accuracy of a simple classifier on a noisy waveform classification machine learning task. © 2021 ACM.

关键词： computer circuits

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MPC-Based Coordination Control of Dual Direct-Drive Permanent Magnet Motors Used in Coal Mining Belt Conveyors

MPC-Based Coordination Control of Dual Direct-Drive Permanen...

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Annual Conference of Industrial Electronics Society

作者： Yaofei Han Chao Gong Shaofeng Chen Zhixun Ma Xing Zhao National Maglev Transportation Engineering R&D Center Tongji University Shanghai China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada School of Physics Engineering and Technology University of York York UK

In the application of coal mining belt conveyors, dual-motor drives based on permanent magnet motors (PMM) are gaining increasing attention now. To achieve high-performance coordination control of the two motors, this paper proposes a finite control set model predictive speed control (FCS-MPSC) method to improve the dynamics and speed tracking performance of the motors. First, the features of the dual-motor drives used in conveyor belts are analyzed. On this basis, the requirements of the control strategies are illustrated. Second, a master-slave control strategy is developed after treating the PMMs at the tail end and head end as the master motor and slave motor, respectively. Third, the FCS-MPSC method is developed for both master and slave motors by using new predicting model. In this process, the issue that the speed property is not directly related to the manipulated variables are tackled. Moreover, in order to further improve the dynamics of the slave motor, a speed reference compensation strategy is proposed. Finally, the proposed FCS-MPSC method is validated through comparative simulation results.

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High-performance polarization management devices based on thin-film lithium niobate

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Light(Science & Applications) 2022年第5期11卷 868-876页

作者： Zhongjin Lin Yanmei Lin Hao Li Mengyue Xu Mingbo He Wei Ke Heyun Tan Ya Han Zhaohui Li Dawei Wang X.Steve Yao Songnian Fu Siyuan Yu Xinlun Cai State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologySun Yat-sen University510275 GuangzhouChina Department of Electrical and Computer Engineering The University of British ColumbiaVancouverBC V6T 1Z4Canada Photonics Information Innovation Center and Hebei Provincial Center for Optical Sensing Innovations College of Physics Science and TechnologyHebei University071002 BaodingChina Institute of Advanced Photonics Technology School of Information EngineeringGuangdong University of Technology510006 GuangzhouChina

High-speed polarization management is highly desirable for many applications,such as remote sensing,telecommunication,and medical ***,most of the approaches for polarization management rely on bulky optical components that are slow to respond,cumbersome to use,and sometimes with high drive ***,we overcome these limitations by harnessing photonic integrated circuits based on thin-film lithium niobate *** successfully realize a portfolio of thin-film lithium niobate devices for essential polarization management functionalities,including arbitrary polarization generation,fast polarization measurement,polarization scrambling,and automatic polarization *** present devices feature ultra-fast control speeds,low drive voltages,low optical losses and compact *** these devices,we achieve high fidelity polarization generation with a polarization extinction ratio up to 41.9 dB and fast polarization scrambling with a scrambling rate up to 65 Mrad s−1,both of which are best results in integrated *** also demonstrate the endless polarization state tracking operation in our *** demonstrated devices unlock a drastically new level of performance and scales in polarization management devices,leading to a paradigm shift in polarization management.

关键词： polarization lithium film

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Machine Learning Techniques for Predictive Maintenance in Industrial IoT Systems

Machine Learning Techniques for Predictive Maintenance in In...

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Science, Technology, engineering and Management (ICSTEM), International Conference on

作者： G. Nixon Samuel Vijayakumar Vipin Sharma S. Pradeep Pratheeba C T. Suresh Balakrishnan Ramprasad Jat Department of Physics R.M.K. Engineering College Kavaraipettai Tamil Nadu India Department of Mechanical Engineering Medi-Caps University Indore Madhya Pradesh India Department of Electronics and Communication Engineering S. A. Engineering College Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Nandha Engineering College Chennai Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Department of Computer Engineering Government Engineering College Jhalawar Rajasthan India

ISBN: (数字)9798350376913

ISBN: (纸本)9798350388473

The purpose of this exploration is to probe implicit operations of machine literacy ways for prophetic conservation within the environment of Industrial Internet of Effects (IIoT) grounded systems. As a result of the explosion of detector data in artificial settings, prophetic conservation has developed as an essential system for reducing time-out and maximizing the performance of means. The purpose of this study is to probe a variety of machine literacy algorithms, including retrogression, bracket, and anomaly discovery, which are specifically designed to examine streaming detector data and anticipate faults in outfits before they do. In addition, it investigates the difficulties that are connected with the perpetration of prophetic conservation results in IIoT systems. These difficulties include problems with data quality, the interpretability of models, and the scalability of the results. The purpose of this study is to give perceptivity into the utility and limitations of colorful machine learning approaches in the process of perfecting the trustability and effectiveness of artificial ministry. These perceptivity are handed through a complete examination of being exploration and case studies.

关键词： Scalability Machine learning Detectors Explosions Internet Environmental management Probes

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A photonic neural network using < 1 photon per scalar multiplication

A photonic neural network using < 1 photon per scalar multip...

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2021 IEEE Hot Chips 33 Symposium, HCS 2021

作者： Wang, Tianyu Ma, Shi-Yuan Wright, Logan G. Onodera, Tatsuhiro Richard, Brian C. McMahon, Peter L. Cornell University School of Applied and Engineering Physics IthacaNY14853 United States NTT Physics and Informatics Laboratories NTT Research Inc. SunnyvaleCA94085 United States Cornell University School of Electrical and Computer Engineering IthacaNY14853 United States

New Frontiers in Optical Technology The proliferation of optical sensors and user interfaces offers opportunities for deeper integration of sensing, processing, and data transmission.

ISBN: (纸本)9781665413978

New Frontiers in Optical Technology The proliferation of optical sensors and user interfaces offers opportunities for deeper integration of sensing, processing, and data transmission.

关键词： Integrated optics Neural networks Optical computing User interfaces Optical sensors Data communication Photonics

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