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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio science Meeting, AP-S/URSI 2022

作者： Chen, Liang Dong, Ming Bagci, Hakan Electrical and Computer Engineering Program Computer Electrical and Mathematical Science and Engineering Division Thuwal23955-6900 Saudi Arabia

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

Output saturation observed for high power levels of input optical pump is a well-known bottleneck in the operation of terahertz photoconductive devices (PCDs). This saturation is a result of various screening effects that stem from the interactions between electromagnetic fields and semiconductor charge carriers. To simulate these effects, this work uses a time-domain multiphysics approach that solves a coupled system of the Maxwell and the drift-diffusion equations to rigorously take into account the two-way nonlinear coupling between fields and carriers. Furthermore, an optical absorption-based model is used to correctly compute the carrier generation rate. The resulting multiphysics solver is used to simulate realistic PCDs, and excellent agreement is observed between the simulation and experimental results. © 2022 IEEE.

关键词： Multiphysics

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Deep Learning-Based Joint Channel Equalization and Symbol Detection for Air-Water Optoacoustic Communications

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IEEE Transactions on Cognitive Communications and Networking 2024年第3期11卷 1482-1492页

作者： Mahmud, Muntasir Younis, Mohamed Ahmed, Masud Choa, Fow-Sen University of Maryland Baltimore County Baltimore Department of Computer Science and Electrical Engineering BaltimoreMD United States University of Maryland Baltimore County Department of Information Systems BaltimoreMD United States

The optoacoustic effect is triggered by directing an optical signal in the air (using laser) to the surface of water, leading to the generation of a corresponding acoustic signal inside the water. Careful modulation of the laser signal would enable an innovative method for direct communication in air-water cross-medium scenarios experienced in many civil and military applications. In order to achieve a high data rate, a multilevel amplitude modulation scheme can be used to generate different acoustic signals to transmit multiple symbols. However, accurately demodulating these acoustic signals can be challenging due to multipath propagation within the harsh underwater environment, inducing inter-symbol interferences. This paper proposes a deep learning-based demodulation technique that uses a U-Net for signal equalization and a Residual Neural Network for symbol detection. In addition, fine-tuning at the receiver side is also considered to increase the demodulation robustness. The proposed deep learning model has been trained with our laboratory constructed dataset containing eight levels of optoacoustic signals captured from three different underwater positions. The model is validated using two datasets containing severe interference due to multipath-generated echoes and reverberations. The results show that our demodulation model achieves 96.6% and 91.7% accuracy for the two datasets, respectively, which significantly surpasses the 72.9% and 65.30% accuracy achieved by the conventional peak detection-based technique. © 2015 IEEE.

关键词： Intersymbol interference

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Blockchain and its derived technologies shape the future generation of digital businesses: a focus on decentralized finance and the Metaverse

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Data science and Management 2023年第3期6卷 183-197页

作者： Saeed Banaeian Far Azadeh Imani Rad Maryam Rajabzadeh Asaar Department of Electrical and Computer Engineering Science and Research Branch Islamic Azad UniversityTehran***Iran Department of Electrical Engineering Yadegar-e-Imam Khomeini(rah)Shahr-e-Rey Branch Islamic Azad UniversityTehran***Iran

Without a doubt,blockchain,as one of the most valuable technological advancements,has been introduced over the past decade and has played a significant role in the industrial *** emergence of other technologies derived from blockchain,such as decentralized finance(DeFi)and the Metaverse,has fundamentally transformed people’s daily lives and profoundly impacted future versions of digital *** study explored the evolution of digital businesses in the near future,with a specific focus on the two primary technologies mentioned ***,we reviewed DeFi-based technologies,including GameFi,SciFi,SocialFi,and others which serve as foundational building blocks for future jobs and ***,we examined Metaverse-based jobs,such as Metaverse-based academies and markets which are expected to be launched as commonly used ***,this study provides several guidelines,such as how to use DeFi 2.0 and apply centralized decentralized finance(CeDeFi)-based ***,it offers future directions for launching these businesses,including controlling the progress of artificial intelligence(AI)in practical applications,utilizing cloud-assisted models for the Metaverse,and providing conditional privacy for future Metaverse-based businesses.

关键词： Artificial intelligence Cryptocurrency Decentralized autonomous organization Digital twin Non-fungible token

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Security and Energy Efficiency Enhancement for the Internet of Things: Challenges, Architecture and Future Research

Security and Energy Efficiency Enhancement for the Internet ...

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International Conference on Data science and Network engineering, ICDSNE 2023

作者： Dewan, Ritu Nagpal, Tapsi Ahmad, Sharik Rana, Arun Kumar Islam, Sardar M. N. Department of Computer Science and Engineering Lingayas Vidyapeeth Faridabad India Department of Computer Science and Engineering Galgotias College of Engineering & Technology Gr. Noida India SILC Decision Sciences and Modelling Program Victoria University Victoria Australia

ISBN: (纸本)9789819967544

Thanks to constantly advancing technology, the world is changing rapidly. One such idea that has contributed to the reality of automation is the Internet of Things (IoT). IoT links various non-living objects to the internet and enables them to communicate with their local network to automate processes and simplify people’s lives. The IoT’s potential needs to be completely realised despite the enormous efforts of standards, organisations, coalitions, businesses, academics and others. A number of problems remain. The enabling technology, applications and business models, as well as the social and environmental repercussions, should all be taken into consideration while analysing these difficulties. This article’s emphasis is on unresolved issues and challenges from a technological perspective. The main objective is to provide a thorough evaluation of IoT in terms of energy and security, as well as unresolved problems and obstacles that need further study. We provide some perspectives on some new concepts to help future research. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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Bi-level Optimal Planning of Voltage Regulator in Distribution Systems Considering Maximization of Incentive-based Photovoltaic Energy Integration

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CSEE Journal of Power and Energy Systems 2023年第6期9卷 2008-2017页

作者： Xu Xu Youwei Jia Chun Sing Lai Minghao Wang Zhao Xu Department of Electrical and Electronic Engineering Southern University of Science and TechnologyShenzhenChina Department of Electrical Engineering The Hong Kong Polytechnic UniversityHung HomHong Kong SARChina Department of Electrical and Electronic Engineering University Key Laboratory of Advanced Wireless Communications of Guangdong ProvinceSouthern University of Science and TechnologyShenzhen 515100China Department of Electronic and Computer Engineering Brunel Institute of Power SystemsBrunel University LondonLondonUB83PH United Kingdom Department of Electrical Engineering Shenzhen Research InstituteThe Hong Kong Polytechnic UniversityHung HomHong Kong SARChina

This paper focuses on optimal voltage regulator(VR)planning to maximize the photovoltaic(PV)energy integration in distribution *** describe the amount of dynamic PV energy that can be integrated into the power system,the concept of PV accommodation capability(PVAC)is introduced and modeled with *** proposed planning model is formulated as a Benders decomposition based bi-level stochastic optimization *** the upper-level problem,VR planning decisions and PVAC are determined via mixed integer linear programming(MILP)before considering *** in the lower-level problem,the feasibility of first-level results is checked by critical network constraints(*** magnitude constraints and line capacity constraints)under uncertainties considered by time-varying loads and PV *** this paper,these uncertainties are represented in the form of operational scenarios,which are generated by the Gaussian copula theory and reduced by a well-studied backward-reduction *** modified IEEE 33-node distribution grid is utilized to verify the effectiveness of the proposed *** results demonstrate that a PV energy integration can be significantly enhanced after optimal voltage regulator planning.

关键词： Bi-level stochastic optimization problem critical network constraints photovoltaic energy integration uncertainties voltage regulator planning

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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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Renewable Distributed Generation for Smart Highway Lighting 11

Renewable Distributed Generation for Smart Highway Lighting

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11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Channi, Harpreet Kaur Handa, Kanika Bhullar, Manpreet Sandhu, Ramandeep Kaur, Harpreet Singh, Parminder Vishal Chandigarh University Department of Electrical Engineering Mohali India Ct University Department of Computer Science and Engineering India School of Computer Science and Engineering Lovely Professional University India School of Computer Science and Engineering Lovely Professional University Punjab Jalandhar India Lovely Professional University Department of Cse Punjab Jalandhar India

ISBN: (纸本)9798350350357

Renewable energy generation is encouraging nowadays due to increasing demand day by day. At the commercial level, renewable energy generation is already in use. In this project, renewable energy generation is used on highways for lighting purposes. These energies are already wasted on highways by constructively using them, it can convert traditional highways into smart highways. The project consists combination of three energies, i.e. solar, wind, and piezoelectric energy. Many projects are already running on the highway in which individual energy or a combination of two energy is used for the generation. Still, with this project, three hybrid energy generation systems will be explained for the lighting on the highways. Initially, this system can cost more, but in the long term, it benefits more as well. This off-grid system can also further extend to supply back to the grid if satisfy the current usage on the highway. © 2024 IEEE.

关键词： Solar energy

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Revisiting LARS for Large Batch Training Generalization of Neural Networks

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第5期6卷 1321-1333页

作者： Do, Khoi Nguyen, Minh-Duong Hoa, Nguyen Tien Tran-Thanh, Long Tran, Nguyen H. Pham, Quoc-Viet Trinity College Dublin School of Computer Science and Statistics Dublin 2 D02PN40 Ireland Pusan National University Department of Information Convergence Engineering Busan46241 Korea Republic of Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi100000 Viet Nam University of Warwick School of Computer Science CoventryCV4 7AL United Kingdom The University of Sydney School of Computer Science DarlingtonNSW2006 Australia Kyung Hee University Department of Computer Science and Engineering Yongin446-701 Korea Republic of

This article investigates large batch training techniques using layer-wise adaptive scaling ratio (LARS) across diverse settings. In particular, we first show that a state-of-the-art technique, called LARS with the warm-up, tends to be trapped in sharp minimizers early on due to redundant ratio scaling. Additionally, a fixed steep decline in the latter phase restricts deep neural networks from effectively navigating early-phase sharp minimizers. To address these issues, we propose time varying LARS (TVLARS), a novel algorithm that replaces warm-up with a configurable sigmoid-like function for robust training in the initial phase. TVLARS promotes gradient exploration early on, surpassing sharp optimizers and gradually transitioning to LARS for robustness in later stages. Extensive experiments demonstrate that TVLARS consistently outperforms LARS and LAMB in most cases, with up to 2% improvement in classification scenarios. In all self-supervised learning cases, TVLARS achieves up to 10% performance improvement. © 2020 IEEE.

关键词： Self-supervised learning

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Enhanced and Efficient Guiding Template Design for Lamellar DSA with Graph Monomorphism

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IEEE Transactions on computer-Aided Design of Integrated Circuits and Systems 2023年第11期42卷 4329-4333页

作者： Ciou, Yi-Sian Shih, An-Jie Fang, Shao-Yun Liu, Yi-Yu National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan National Taiwan University of Science and Technology Department of Computer Science and Information Engineering Taipei106 Taiwan

Lamellar directed self-assembly (DSA) technology in combination with the self-aligned via (SAV) process has emerged as a novel and promising choice for via/contact layer fabrication, where a via between Metal- x and Metal- (x+1) is generated at the intersection of a wire segment on Metal- (x+1) and a rectangular and perpendicular guiding template. Compared to the highly investigated cylindrical DSA, lamellar DSA does not suffer from the overlay error of generated holes and thus can have better yield, and it also benefits from the better flexibility of various via pitches a single template can produce. A state-of-the-art work has addressed the guiding template design problem for the new process, and an integer linear programming (ILP) formulation that can optimally solve the problem as well as a simple heuristic approach are proposed. However, solving the ILP formulation is time consuming, and the heuristic method suffers from unignorable degradation in solution quality due to several algorithm deficiencies. In this article, we propose an enhanced and efficient template design algorithm flow for the lamellar DSA and SAV process by using graph monomorphism for pattern conflict check in multiple patterning lithography. Experimental results show that the proposed flow can greatly reduce the numbers of conflicts and short templates and is almost as efficient as the existing heuristic approach. © 1982-2012 IEEE.

关键词： Integer programming

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A Highly Selective Dual Bandpass Filter using Couple Line Resonator for Modern Wireless Communication Systems 4

A Highly Selective Dual Bandpass Filter using Couple Line Re...

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4th International Conference on Computing, Mathematics and engineering Technologies, iCoMET 2023

作者： Mushtaq, Bilal Rehman, Muhammad Abdul Hussain, Aqib Abbass, Muhammad Jamshed Riphah International University Department of Electrical Engineering Islamabad Pakistan Wroclaw University of Science and Technology Department of Computer Engineering Poland Wroclaw University of Science and Technolog Department of Electrical Engineering Poland

ISBN: (纸本)9798350335316

In this paper, a miniaturized dual-band bandpass filter (DB-BPF) based on a dual-path stub-loaded resonator is presented. A transversal filtering design is introduced in the proposed DB-BPF, which provides two signal propagation paths from input to output. In total, six transmission poles and four transmission zeros are obtained, which improves overall filter selectivity. The fractional bandwidth (FBW) of dual bands with center frequencies of 2.24 and 7.35 GHz is 36.4% and 31.2%, respectively. The physical size of a fabricated filter is (0.43 × 0.17)λg, where λg is the guided wavelength at 2.24 GHz. The DB-BPF prototype is fabricated using a Roger Duroid RT/5880 substrate to further validate the result. The full-wave EM simulation and measured results show good agreement. The proposed dual-band bandpass is applicable to a wide range of modern communication technologies, including Wi-Fi, satellite, cellular, radar, and broadcast communication. © 2023 IEEE.

关键词： Bandpass filters

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