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CLEO: Applications and Technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Chan, Clarence Y. Roberts, Henry C. Xiao, Yixin Mi, Zetian Li, Xiuling Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering Microelectronics Research Center The University of Texas AustinTX78758 United States Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States

One of the biggest hurdles in microLED-technology is the efficiency degradation with shrinking pixel-size, due to etching damage. We present the scaling of µLED from 45 to 5 µm by MacEtch, with near size-ind... 详细信息

关键词： Anisotropic etching

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On-Demand Coordinated Spectrum and Resource Provisioning under an Open C-RAN Architecture for Dense Small Cell Networks

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IEEE Transactions on Mobile Computing 2024年第1期23卷 673-688页

作者： Wu, Sau-Hsuan Ko, Chun-Hsien Chao, Hsi-Lu National Yang Ming Chiao Tung University Institute of Communications Engineering College of Electrical and Computer Engineering Hsinchu30010 Taiwan National Yang Ming Chiao Tung University Institute of Information Engineering Department of Computer Science Hsinchu30010 Taiwan

Mobile networks have seen more than a thousand times traffic increases in the past decade. Network operators face an ever increasing demand and cost to deploy denser networks in order to maintain the quality of services. In view of this paradigm shift, an open cloud radio access network (C-RAN) service model is studied in this work. Integrating the cross-layer functions of spectrum resource sharing, channel and power allocation, and interference management in a C-RAN architecture, we explore the feasibility of providing a scalable yet efficient broadband wireless service with dense small cell networks (DSN). The proposed methods and architecture can be applied to DSN that support the functions of (further enhanced) inter-cell interference cancelation (feICIC/ICIC) techniques of 3GPP standard, and have the potential to provide a cost-effective solution for high-quality DSN. Simulation results across an area of 100 km2 show that the proposed scheme can offer an aggregate downlink throughput of 21 Gbps over a maximum channel bandwidth of 20 MHz, which is 5 times the throughput with a typical ICIC method. Moreover, the service satisfaction degree can reach 85% under the proposed C-RAN architecture, making it a promising and cost-effective solution for future broadband wireless services. © 2002-2012 IEEE.

关键词： Radio access networks

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Cross-Layer Optimized HARQ Protocol for Underwater Acoustic Wireless Sensor Networks Using Stochastic Network Calculus 2

Cross-Layer Optimized HARQ Protocol for Underwater Acoustic ...

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2nd IEEE International Conference on Emerging Research in Computational science, ICERCS 2024

作者： Sivajayaprakash, A. Sukumaran, Rajeev Kumar, C. SRM Institute of Science and Technology Department of Computer Science and Engineering Kattankulathur India Karpagam College of Engineering Department of Electrical and Electronics Engineering Coimbatore641032 India

ISBN: (纸本)9798331534950

UAWSNs face challenges such as long propagation delays, limited bandwidth, and varying channel conditions. To solve these problems, we developed a new protocol called Multi- Hop Cross-Layer Optimized Hybrid Automatic Repeat Request (CLO-HARQ) suitable for UAWSNs. This protocol automatically changes the retransmission strategy and error correction redundancy based on real-time feedback from the physical and network layers. A unique feature of this protocol is the inclusion of environmental factors such as water salinity and temperature in the decision-making process. Also, using Stochastic Network Calculus (SNC), stochastic traffic characteristics predict single-hop and multi-hop communication delay (delay), energy usage (energy usage), and throughput. In the performance evaluation of CLO-HARQ, it has been shown to provide significant improvement in efficiency, throughput, and delay over existing HARQ methods. It is well-suited for long-term underwater monitoring and is a sustainable solution for energy-constrained sensor networks. © 2024 IEEE.

关键词： Network layers

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A Comprehensive Review on Object Detection in the Context of Autonomous Driving 4

A Comprehensive Review on Object Detection in the Context of...

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4th International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2024

作者： Islam, Md Moynul Chowdhury, Ismatul Jannat Mahboob, Tanvir Zobair Mazumder, Md Shah Jalal Hossain, Mohammad Jakaria Biswas, Md Siam Rone, Poncanon Datta Maharishi International University Department of Computer Science IA United States University of North Carolina Department of Electrical Engineering CharlotteNC United States Chittagong University of Engineering and Technology Department of Computer Science and Engineering Chittagong Bangladesh

ISBN: (纸本)9798331529635

In autonomous driving, safety assessment is becoming an essential component, particularly in the perception and analysis of the environment around them. To make safe driving judgments, autonomous cars mostly rely on their capacity to observe and comprehend their environment. Detecting objects is a frequent and challenging problem in autonomous driving. Over the course of the last ten years, as deep learning has rapidly advanced, researchers have conducted numerous experiments and made significant contributions to the performance improvement of object recognition and related tasks including object categorization, localization, and segmentation. In this paper, an overview of state-of-the-art object detection algorithms is presented with in depth analysis. Region proposal-based approaches and single-shot approaches are two main frameworks of object detection which are discussed here. R-CNN, SPP-net, Fast R-CNN, and Faster R-CNN refer to region proposal-based methods while single-shot methods consist of YOLOv2, YOLOv3, YOLOv4 and SSD. The authors truly believe that this study would have a meaningful impact on the current advances in object detection algorithms. © 2024 IEEE.

关键词： Zero-shot learning

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Towards Zero Trust Security for Prosumer-Driven Verifiable Green Energy Certificates 7

Towards Zero Trust Security for Prosumer-Driven Verifiable G...

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7th International Conference on Energy Conservation and Efficiency, ICECE 2024

作者： Rasool, Saqib Saleem, Afshan Ikram Ul Haq, Muhammad Jacobsen, Rune Hylsberg Aarhus University Department of Electrical and Computer Engineering Aarhus Denmark Nexthon Technologies Gujrat Pakistan Superior University Lahore Department of Computer Science Lahore Pakistan

ISBN: (纸本)9798350370898

In response to the critical need for environmentally sustainable practices, green energy certificates have emerged as a key mechanism to prevent greenwashing and ensure the authenticity of renewable energy sources. While incorporating blockchain technology has significantly enhanced the trans-parency and verifiability of these certificates, it has also intro-duced a trade-off in terms of increased operational costs due to the added control mechanisms of the blockchain. This challenge led to recent advancements in the state-of-the-art blockchain-based framework for verifiable green energy certificates, integrating trustworthy registries to balance trust and operational efficiency to enhance feasibility for real-world deployments. Our paper extended the same framework to elevate the trust factor without incurring additional operational costs of blockchain. At the heart of our proposed solution is integrating Self-Sovereign Identity (SSI), a technology that bolsters the system's reliability and empowers users/devices with control over their digital identities. By harmonizing the strengths of the Distributed Ledger Technologies (DLT) of IOTA with the public blockchain of Concordium, our framework maintains the integrity and transparency of the green energy certification process. It propels the system towards zero-trust security by distributing trust from a few centralized registries to many decentralized prosumer meters. © 2024 IEEE.

关键词： Blockchain

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hChain 2.0: Leveraging Blockchain and Distributed File System for EHR Management in Smart Healthcare

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SN computer science 2025年第2期6卷 1-19页

作者： Alruwaill, Musharraf N. Mohanty, Saraju P. Kougianos, Elias Department of Computer Science and Engineering University of North Texas Denton TX United States Department of Electrical Engineering University of North Texas Denton TX United States

Within the context of the digital revolution, the domain of smart healthcare has emerged as a promising area with the aim of enhancing patient care, streamlining clinical operations, and facilitating prompt medical interventions. However, the main priority in smart healthcare revolves around the challenges of security and privacy. In addition to concerns over security and privacy, there are also other problems associated with the sharing of electronic healthcare records EHR through a robust mechanism that is both controlled and authenticated. The paper presents a proposed framework that aims to enhance security, privacy, and automation through the utilization of blockchain and IPFS technologies. Furthermore, the integration of wearable devices and deep learning techniques can be utilized to develop a risk evaluation system that facilitates fall detection and automated response, which helps with immediate medical assessment requests through a secured automated system. Integrating blockchain and IPFS provides a secure system that is cost-effective. Smart contracts provide secure and robust business logic and access control management. The integration of blockchain with IPFS offers a secure and cost-effective approach. The utilization of smart contracts enables reliable access control management and robust business logic. It provides a more restricted method for EHR sharing such as the quantity of accesses, duration of access, and specific permissions granted. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： Blockchain Deep learning Healthcare cyber-physical systems (H-CPS) Long short-term memory (LSTM) Smart contract Smart healthcare

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Excitonic Single- and Two-Photon Photoluminescence Excitations in Bilayer GaN/AlN Nanowires

Excitonic Single- and Two-Photon Photoluminescence Excitatio...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Cui, Liangqing Wu, You Wu, Yuanpeng Mi, Zetian Kira, Mackillo Norris, Theodore B. Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48109 United States

The energy difference between the 1s and 2p exciton states of bilayer GaN/AlN is measured and computed by comparing excitonic resonances in photoluminescence excitation spectra following single- versus two-photon abso... 详细信息

关键词： Photoluminescence

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Multi-agent Task Assignment in Unmanned Aerial Vehicle Edge Computing based on Deep Learning Approach 3

Multi-agent Task Assignment in Unmanned Aerial Vehicle Edge ...

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3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024

作者： Samuel, Amalorpava Mary Rajee Yamuna Devi, M.M. Madhusudhanan, S. Dept. of Electrical and Information Engineering University of Witwatersrand Johannesburg South Africa Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundatio Vijayawada India Department of Computer Science and Engineering Rajalakshmi Engineering College Chennai India

ISBN: (纸本)9798331532420

Unmanned aerial vehicles (UAVs) are used as supportive edge computing for sparsely located user equipment on a large scale. In this work, we propose and address a collaborative edge computing system involving multiple UAVs as agents in deep reinforcement learning (DRL) approach due to the restricted computation and energy capabilities of UAVs. The challenge of task offloading is being tackled to reduce the total delays in execution and energy usage by simultaneously planning the paths, assigning computation tasks, and managing communication resources of UAVs. Additionally, Lyapunov optimization is incorporated for the system stability of mobile edge computing assisted by multiple UAVs. Exploring a multi-agent deep reinforcement learning framework to achieve a combined strategy to manage task allocation, and power management. The sum rate results of the evaluation show that our method for task offloading using multi-UAV and multi-EC achieves superior performance with 25 % increase when compared to other optimization methods and ability to reduce cost and delay. © 2024 IEEE.

关键词： Energy utilization

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Transformer-Less Integrated Wind Turbine-Power Transmission Line Systems 12

Transformer-Less Integrated Wind Turbine-Power Transmission ...

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12th International Conference on Renewable Power Generation, RPG 2023

作者： Nasser Danapour, S. Mohammadi, Fazel Department of Electrical and Computer Engineering University of Tabriz Tabriz51666-67541 Iran Electrical and Computer Engineering and Computer Science Department University of New Haven West HavenCT06516 United States

The integrated wind turbine-power transmission line systems integrate wind turbines into high-voltage power transmission lines by directly interconnecting wind turbines to high-voltage power transmission lines without using high-voltage power transformers. In such systems, by considering double-circuit power transmission lines, creating a specific phase difference between two power transmission lines can lead to creating an appropriate voltage difference vector between them for injecting the power of wind turbines into power transmission lines without using high-ratio step-up power transformers. Then, a number of power transformers, which are termed receiving-end transformers, absorb the injected power of wind turbines. Such transformers increase the complexity and overall cost of the system. In this paper, an improved method for creating a voltage difference vector between two power transmission lines in an integrated wind turbine-power transmission line system is proposed. In addition, a new approach for injecting the power of wind turbines into power transmission lines and delivering to the load center without the need for receiving-end transformers is presented. The proposed method and its operation are analyzed in MATLAB/Simulink. © The Institution of engineering & Technology 2023.

关键词： Electric power transmission

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Adaptive Multi-Path Video Streaming Using AI-Driven Edge Computing for Enhanced Quality of Experience (QoE) 2

Adaptive Multi-Path Video Streaming Using AI-Driven Edge Com...

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2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024

作者： Darwich, Mahmoud Khalil, Kasem Bayoumi, Magdy University of Mount Union Department of Mathematics and Computer Science AllianceOH44601 United States University of Mississippi University Department of Electrical and Computer Engineering MS38677 United States University of Louisiana at Lafayette Department of Electrical and Computer Engineering LA70504 United States

ISBN: (纸本)9798331529529

With the increasing demand for high-quality video streaming services, there is a need to enhance the Quality of Experience (QoE) for users, especially in environments with variable network conditions. This research paper proposes a novel approach leveraging AI-driven edge computing to implement adaptive multi-path video streaming. The proposed method uses machine learning algorithms to dynamically select the optimal streaming paths and adjust video quality in real-time based on network conditions and user preferences. By utilizing edge computing resources, this approach aims to reduce latency, improve bandwidth utilization, and provide a more reliable and high-quality video streaming experience. © 2024 IEEE.

关键词： Video streaming

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