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2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Mannino, Kris Deb, Debzani An, Karen Winston-Salem State University Department of Computer Science Winston-Salem United States California Institute of Technology Jet Propulsion Laboratory Pasadena United States

ISBN: (纸本)9798331504847

Wildfire occurrence and the increase in their destruction and severity due to climate change has made the prediction, mapping, and techniques of mitigation a very timely area of research. Remote sensing data is used post-fire to guide vegetation planning, map burn severity, and create dynamic models for predicting fire spread. Synthetic Aperture Radar data shows potential to contribute to these estimates compared to the limitations of traditional optical-based models. This research presents a model of burn severity prediction based on pre-fire static variables with correlations to burn severity using data available pre-ignition for insight of wildfire propagation within a known ignition perimeter. © 2025 IEEE.

关键词： Global warming

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Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients

arXiv

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arXiv 2023年

作者： Bose, Shourya Kim, Kibaek Department of Electrical and Computer Engineering University of California Santa CruzCA United States Mathematics and Computer Science Division Argonne National Laboratory LemontIL United States

The advent of smart meters has enabled pervasive collection of energy consumption data for training short-term load forecasting (STLF) models. In response to privacy concerns, federated learning (FL) has been proposed as a privacy-preserving approach for training, but the quality of trained models degrades as client data becomes heterogeneous. In this paper we alleviate this drawback using personalization layers, wherein certain layers of an STLF model in an FL framework are trained exclusively on the clients’ own data. To that end, we propose a personalized FL algorithm—PL-FL—enabling FL to handle personalization layers. The PL-FL algorithm is implemented by using the Argonne Privacy-Preserving Federated Learning package. We test the forecast performance of models trained on the NREL ComStock dataset, which contains heterogeneous energy consumption data of multiple commercial buildings. Superior performance of models trained with PL-FL demonstrates that personalization layers enable classical FL algorithms to handle clients with heterogeneous data. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Carriers Transport Dynamics in Quantum-Dot Light-Emitting Diode by Transient Electroluminescence Analysis

Carriers Transport Dynamics in Quantum-Dot Light-Emitting Di...

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SID International Symposium Digest of Technical Papers, 2023

作者： Liao, Zebing Mallem, Kumar Prodanov, Maksym F. Kang, Chengbin Gao, Yiyang Song, Jianxin Vashchenko, Valerii V. Srivastava, Abhishek K. State Key Laboratory on Advanced Displays and Optoelectronics Technologies and Centre for Display Research Department of Electronics and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon999077 Hong Kong IAS Center for Quantum Technologies The Hong Kong University of Science and Technology Hong Kong

The outstanding performance of quantum dots light emitting diodes (QLED), like high color purity, high brightness, high efficiency, and low fabrication cost, has attracted significant attention from academic researchers and industry. A great improvement has been established in QLED performance, but a few works focus on investigating the operation dynamic mechanism that is critical for understanding the device deterioration and further performance improvement. Here, we utilized transient electroluminescence (TREL) to investigate the carrier’s transport dynamics. We believe this method based on TREL will contribute to understanding the carriers’ transport, especially for hole transport and fabricating high-performance QLED devices. Based on the analysis results, we also demonstrated a passive matrix (PM) electroluminescence display panel with high brightness and vivid color. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Deterioration

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Attentional Ptycho-Tomography(APT)for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time

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Light(science & Applications) 2023年第6期12卷 1127-1140页

作者： Iksung Kang Ziling Wu Yi Jiang Yudong Yao Junjing Deng Jeffrey Klug Stefan Vogt George Barbastathis Department of Electrical Engineering and Computer Science Massachusetts Institute of TechnologyCambridgeMA 02139USA Department of Mechanical Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA Argonne National Laboratory LemontIL 60439USA Singapore-MIT Alliance for Research and Technology(SMART)Centre 1 CREATE WaySingapore 138602Singapore Present address:Department of Molecular and Cell Biology University of CaliforniaBerkeleyCA 94720USA Present address:Singapore-MIT Alliance for Research and Technology(SMART)Centre 1 CREATE WaySingapore 138602Singapore Present address:Center for Transformative Science ShanghaiTech University201210 ShanghaiChina

Noninvasive X-ray imaging of nanoscale three-dimensional objects,such as integrated circuits(ICs),generally requires two types of scanning:ptychographic,which is translational and returns estimates of the complex electromagnetic field through the IC;combined with a tomographic scan,which collects these complex field projections from multiple ***,we present Attentional Ptycho-Tomography(APT),an approach to drastically reduce the amount of angular scanning,and thus the total acquisition *** is machine learning-based,utilizing axial self-Attention for Ptycho-Tomographic *** is trained to obtain accurate reconstructions of the ICs,despite the incompleteness of the *** training process includes regularizing priors in the form of typical patterns found in IC interiors,and the physics of X-ray propagation through the *** show that APT with×12 reduced angles achieves fidelity comparable to the gold standard Simultaneous Algebraic Reconstruction Technique(SART)with the original set of *** using the same set of reduced angles,then APT also outperforms Filtered Back Projection(FBP),Simultaneous Iterative Reconstruction Technique(SIRT)and *** time needed to compute the reconstruction is also reduced,because the trained neural network is a forward operation,unlike the iterative nature of these *** experiments show that,without loss in quality,for a 4.48×93.2×3.92µm^(3) IC(≃6×10^(8) voxels),APT reduces the total data acquisition and computation time from 67.96 h to 38 *** expect our physics-assisted and attention-utilizing machine learning framework to be applicable to other branches of nanoscale imaging,including materials science and biological imaging.

关键词： utilizing computation interior

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Semantic Communications with computer Vision Sensing for Edge Video Transmission

arXiv

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arXiv 2025年

作者： Peng, Yubo Xiang, Luping Yang, Kun Wang, Kezhi Debbah, Mérouane State Key Laboratory of Novel Software Technology Nanjing University Nanjing China Suzhou China Department of Computer Science Brunel University London United Kingdom Department of Electrical Engineering and Computer Science The KU 6G Center Khalifa University Abu Dhabi127788 United Arab Emirates

Despite the widespread adoption of vision sensors in edge applications, such as surveillance, the transmission of video data consumes substantial spectrum resources. Semantic communication (SC) offers a solution by extracting and compressing information at the semantic level, preserving the accuracy and relevance of transmitted data while significantly reducing the volume of transmitted information. However, traditional SC methods face inefficiencies due to the repeated transmission of static frames in edge videos, exacerbated by the absence of sensing capabilities, which results in spectrum inefficiency. To address this challenge, we propose a SC with computer vision sensing (SCCVS) framework for edge video transmission. The framework first introduces a compression ratio (CR) adaptive SC (CRSC) model, capable of adjusting CR based on whether the frames are static or dynamic, effectively conserving spectrum resources. Additionally, we implement an object detection and semantic segmentation models-enabled sensing (OSMS) scheme, which intelligently senses the changes in the scene and assesses the significance of each frame through in-context analysis. Hence, The OSMS scheme provides CR prompts to the CRSC model based on real-time sensing results. Moreover, both CRSC and OSMS are designed as lightweight models, ensuring compatibility with resource-constrained sensors commonly used in practical edge applications. Experimental simulations validate the effectiveness of the proposed SCCVS framework, demonstrating its ability to enhance transmission efficiency without sacrificing critical semantic information. Copyright © 2025, The Authors. All rights reserved.

关键词： Semantic Segmentation

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Next-Gen IoT Architecture: Long-Range, Low-Bandwidth Video Transmission Using GenAI

Next-Gen IoT Architecture: Long-Range, Low-Bandwidth Video T...

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iNnovative Informatics of Biskra (ISNIB), International Symposium on

作者： Abdelhak Heroucha Salim Bitam Abdelhamid Mellouk LISSI TincNET (CIR) University of Paris-Est Creteil Vitry-sur-Seine France Department of Computer Science LESIA Laboratory University of Biskra Biskra Algeria

ISBN: (数字)9798331509576

ISBN: (纸本)9798331509583

This paper introduces a groundbreaking IoT frame-work combining the Luckfox Pico Max RV1106 with LoRa (RYLR998) for low-bandwidth, long-range video transmission. The system integrates YOLOv5 Tiny for efficient edge processing, enabling real-time object detection and metadata generation directly on the Luckfox Pico Max RV1106. Detected metadata, including object, bounding box coordinates, confidence scores, is transmitted via LoRa to a central server. At the server, a large language model (LLM) processes the metadata to reconstruct a simulated visualization of the detected scene, offering a low-power alternative to full video transmission. The architecture demonstrates significant scalability, low energy consumption, and high reliability, making it ideal for remote surveillance, smart cities, and autonomous systems. By offloading computation to edge devices and utilizing LLM-based reconstruction, this approach showcases a transformative vision for future IoT networks emphasizing efficiency, scalability, and innovative data processing.

关键词： YOLO Scalability Image edge detection Large language models LoRa Metadata Streaming media Servers Reliability Image reconstruction

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Numerical and Micromagnetic Investigation of Strong Magnon-Magnon Coupling in Magnetic Insulator Bilayers

Numerical and Micromagnetic Investigation of Strong Magnon-M...

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2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023

作者： Liu, Jiacheng Shao, Qiming The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Clear Water Bay Kowloon Hong Kong The Hong Kong University of Science and Technology Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9798350338362

The magnon-magnon coupling between two ferromagnetic thin films is usually established by interlayer exchange interaction, which works as a boundary condition and in cases of strong interaction leads to the phenomenon of "anti-crossing". Previous studies have been devoted to ferromagnetic metal/magnetic insulator (FM/MI) bilayers;however, the level of damping in FMs here is usually 1-2 orders of magnitude greater than in MIs, causing a decrease in coherence time. Here, we show, for the first time, a strong coupling with a cooperativity of more than 10 between two MIs with experimentally relevant parameters via the finite element method in the frequency domain, consistent with our numerical method. This anti-crossing coupling in low-damping MI bilayers could pave the way for exciting prospects such as low-energy consumption magnonic devices. © 2023 IEEE.

关键词： Hybrid systems

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Large, Small or Both: A Novel Data Augmentation Framework Based on Language Models for Debiasing Opinion Summarization

arXiv

引用

arXiv 2024年

作者： Zhang, Yanyue Li, Pengfei Lai, Yilong Zhou, Deyu He, Yulan School of Computer Science and Engineering Key Laboratory of Computer Network and Information Integration Ministry of Education Southeast University China Department of Informatics King’s College London United Kingdom The Alan Turing Institute United Kingdom

As more than 70% of reviews in the existing opinion summary data set are positive, current opinion summarization approaches are reluctant to generate negative summaries given the input of negative texts. To address such sentiment bias, a direct approach without the over-reliance on a specific framework is to generate additional data based on large language models to balance the emotional distribution of the dataset. However, data augmentation based on large language models faces two disadvantages: 1) the potential issues or toxicity in the augmented data;2) the expensive costs. Therefore, in this paper, we propose a novel data augmentation framework based on both large and small language models for debiasing opinion summarization. In specific, a small size of synthesized negative reviews is obtained by rewriting the positive text via a large language model. Then, a disentangle reconstruction model is trained based on the generated data. After training, a large amount of synthetic data can be obtained by decoding the new representation obtained from the combination of different sample representations and filtering based on confusion degree and sentiment classification. Experiments have proved that our framework can effectively alleviate emotional bias same as using only large models, but more economically. Copyright © 2024, The Authors. All rights reserved.

关键词： Data assimilation

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Surface-patterned chalcogenide glasses with high-aspect-ratio microstructures for long-wave infrared metalenses

引用

Opto-Electronic science 2024年第10期3卷 1-13页

作者： Zhaofeng Gu Yixiao Gao Kongsi Zhou Junyang Ge Chen Xu Lei Xu Mohsen Rahmani Ran Jiang Yimin Chen Zijun Liu Chenjie Gu Yaoguang Ma Jianrong Qiu Xiang Shen Laboratory of Infrared Materials and Devices Research Institute of Advanced TechnologiesNingbo UniversityNingbo 315211China Zhejiang Key Laboratory of Advanced Optical Functional Materials and Devices Ningbo 315211China Advanced Optics&Photonics Laboratory Department of EngineeringSchool of Science and TechnologyNottingham Trent UniversityNottingham NG118NSUnited Kingdom Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational ResearchCenter for Advanced PhotonicsZhejiang UniversityHangzhou 310027China Ningbo Institute of Oceanography Ningbo 315832China

Multidimensional-engineering chalcogenide glasses is widely explored to construct various infrared photonic devices,with their surface as a key dimension for wavefront ***,we demonstrate direct patterning high-aspect-ratio microstructures on the surface of chalcogenide glasses offers an efficient and robust method to manipulate longwave infrared *** chalcogenide glass being considered soft in terms of its mechanical properties,we successfully fabricate high-aspect-ratio micropillars with a height of 8μm using optimized deep etching process,and we demonstrate a 2-mm-diameter all-chalcogenide metalens with a numerical aperture of 0.45 on the surface of a 1.5-mm-thick As2Se3 *** the exceptional longwave infrared(LWIR)transparency and moderate refractive index of As2Se3 glass,the all-chalcogenide metalens produces a focal spot size of~1.39λ0 with a focusing efficiency of 47%at the wavelength of 9.78μm,while also exhibiting high-resolution imaging *** work provides a promising route to realize easy-to-fabricate,mass-producible planar infrared optics for compact,light-weight LWIR imaging systems.

关键词： chalcogenide glasses long wave infrared metalens

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Equilibrium-Independent Control of Continuous-Time Nonlinear Systems Via the LPV Framework

引用

IEEE Transactions on Automatic Control 2025年

作者： Koelewijn, Patrick J. W. Weiland, Siep Toth, Roland Eindhoven University of Technology Control Systems Group Department of Electrical Engineering Eindhoven Netherlands Institute for Computer Science and Control Systems and Control Laboratory Budapest Hungary

In this paper, we consider the analysis and control of continuous-time nonlinear systems to ensure universal shifted stability and performance, i.e., stability and performance w.r.t. each forced equilibrium point of the system. This "equilibrium-free"concept is especially beneficial for control problems that require the tracking of setpoints and rejection of persistent disturbances, such as input loads. In this paper, we show how the velocity form, i.e., the time-differentiated dynamics of the system, plays a crucial role in characterizing these properties and how the analysis of it can be solved by the application of Linear Parameter-Varying (LPV) methods in a computationally efficient manner. Furthermore, by leveraging the properties of the velocity form and the LPV framework, a novel controller synthesis method is presented which ensures closed-loop universal shifted stability and performance. The proposed controller design is verified experimentally on a real system. Additionally, we compare the proposed method to a standard LPV control design, demonstrating the improved stability and performance guarantees of the new approach. © 1963-2012 IEEE.

关键词： Control system synthesis

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