检索结果-内蒙古大学图书馆

Asilomar Conference on Signals, systems & computers

作者： Xiang Zhang Yanyu Hu Imtiaz Nasim Shannon Eggers Vivek Agarwal Amitabh Mishra Joshua Daw Arupjyoti Bhuyan Sneha Kumar Kasera Mingyue Ji Technical University of Berlin Department of Electrical & Computer Engineering University of Florida Idaho National Laboratory Kahlert School of Computing University of Utah

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

We present a novel Bayesian learning approach to outdoor radio heatmap construction utilizing deep Gaussian Process (GP). The proposed approach employs a two-layer hierarchy that is capable of modeling more complex input-output relations than the standard single-layer GP. Since deriving the exact model likelihood is challenging, a lower bound is optimized instead to find the optimal model parameters. Typically, inducing points are used to facilitate low-rank approximation of covariance (kernel) matrices for computation speedup. However, the inaccuracy induced by inducing points can accumulate when stacking multiple layers of GP which may degrade the performance of deep GP. Moreover, since inducing points need to be learned, having them at all layers of deep GP also incurs computational burden. To overcome the above challenges, in contrast to the canonical deep GP model, we use a modified architecture where a full standard GP resides in the first layer and inducing points are only introduced for the second layer. This modified architecture strikes a balance between model accuracy and training complexity. In the proposed model, the noise parameter of the first GP layer is also eliminated to improve the training efficiency as the noise parameter at the output of the second layer suffices to model the uncertainty in the output. The proposed approach is evaluated on real-world datasets, collected from the Platform for Open Wireless Data-driven Experimental Research (POWDER) located at the campus of the University of Utah. Experimental results show that the proposed approach can achieve superior performance on various training and testing data configurations compared to canonical deep GP schemes, DNN-based and GP-based methods.

关键词： Training Heating systems Wireless communication Lower bound Powders Computational modeling Noise computer architecture Bayes methods Standards

来源：评论

学校读者我要写书评

暂无评论

Multimodal Collaborative Perception for Dynamic Channel Prediction in 6G V2X Networks

IEEE Transactions on Machine Learning in Communications and ...

引用

IEEE Transactions on Machine Learning in Communications and Networking 2025年 3卷 725-743页

作者： Ghazi Gharsallah Georges Kaddoum Electrical Engineering Department École de Technologie Supérieure University of Quebec Quebec QC Canada Department of Computer Science and Mathematics Artificial Intelligence and Cyber Systems Research Center Lebanese American University Beirut Lebanon

The evolution toward sixth-generation (6G) wireless communications introduces unprecedented demands for ultra-reliable low-latency communication (URLLC) in vehicle-to-everything (V2X) networks, where fast-moving vehicles and the use of high-frequency bands make it challenging to acquire the channel state information to maintain high-quality connectivity. Traditional methods for estimating channel coefficients rely on pilot symbols transmitted during each coherence interval; however, the combination of high mobility and high frequencies significantly reduces the coherence times, necessitating substantial bandwidth for pilot transmission. Consequently, these conventional approaches are becoming inadequate, potentially causing inefficient channel estimation and degraded throughput in such dynamic environments. This paper presents a novel multimodal collaborative perception framework for dynamic channel prediction in 6G V2X networks, integrating LiDAR data to enhance the accuracy and robustness of channel predictions. Our approach synergizes information from connected agents and infrastructure, enabling a more comprehensive understanding of the dynamic vehicular environment. A key innovation in our framework is the prediction horizon optimization (PHO) component, which dynamically adjusts the prediction interval based on real-time evaluations of channel conditions, ensuring that predictions remain relevant and accurate. Extensive simulations using the MVX (Multimodal V2X) high-fidelity co-simulation framework demonstrate the effectiveness of our solution. Compared to baseline methods—namely, a classical LS-LMMSE approach and a wireless-based model that solely relies on channel measurements—our framework achieves up to a 30.82% reduction in mean squared error (MSE) and a 32.76% increase in goodput. These gains underscore the efficiency of the PHO component in reducing prediction errors, maintaining low bit error rates, and meeting the stringent requirements of 6G V2X com

关键词： 6G mobile communication Accuracy Vehicle dynamics Vehicle-to-everything Predictive models Sensors Collaboration Laser radar Feature extraction Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

One-port CSRR Structure for Dielectric Characterization of Lossy Materials

One-port CSRR Structure for Dielectric Characterization of L...

引用

European Conference on Microwave

作者： Matko Martinic Maede Chavoshi Dominique Schreurs Tomislav Markovic Bart Nauwelaers Department of Electrical Engineering WaveCore Division KU Leuven Belgium Department of Electronics Microelectronics Computer and Intelligent Systems Faculty of Electrical Engineering and Computing University of Zagreb Croatia

In this study, a one-port structure developed around a complementary split ring resonator (CSRR) is presented for the dielectric characterization of high-loss materials. A novel high-quality method is proposed based on impedance matching of the CSRR structure. Impedance matching was achieved by tuning the length of the transmission line between the CSRR cell and an open circuit. In this work, the fabricated device was tested using various concentrations of water-ethanol mixtures. Finally, the complex permittivity was extracted by determining the input impedance of the device at the frequency at which the minimum $\vert S_{11}\vert$ occurs in the frequency range from 2.175 GHz to 2.225 GHz. The results show excellent agreement with the complex permittivity obtained using a commercially available dielectric probe set.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Frequency multiplexed emission from cavity-enhanced T centers

Frequency multiplexed emission from cavity-enhanced T center...

引用

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

作者： Komza, Lukasz Zhang, Xueyue Tang, Yu-Lung Song, Hanbin Sipahigil, Alp Department of Physics University of California Berkeley BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA94720 United States Department of Materials Science and Engineering University of California Berkeley BerkeleyCA94720 United States

To enable efficient s pin-photon interfaces with T centers, cavity-enhanced emission is essential. We build an integrated photonics platform demonstrating cavity-enhanced emission from multiple T centers across distin... 详细信息

ISBN: (纸本)9781957171395

关键词： Photonic integrated circuits

来源：评论

学校读者我要写书评

暂无评论

Enhancing Distribution System Resilience: A First-Order Meta-RL algorithm for Critical Load Restoration

Enhancing Distribution System Resilience: A First-Order Meta...

引用

IEEE International Conference on Smart Grid Communications (SmartGridComm)

作者： Zain ul Abdeen Xiangyu Zhang Waris Gill Ming Jin The Bradley Department of Electrical and Computer Engineering Virginia Tech Blacksburg VA USA National Renewable Energy Laboratory Golden CO USA

ISBN: (数字)9798350318555

ISBN: (纸本)9798350318562

The increasing frequency of extreme events and the integration of distributed energy resources (DERs) into modern grids have elevated the need for resilient and efficient critical load restoration strategies in distribution systems. However, the stochastic nature of renewable DERs, limited energy resource availability and the intricate nonlinearities inherent in complex grid control problem make the problem challenging. Although reinforcement learning (RL) and warm-start RL methods have shown promising results, their performance often falls short in rapidly adapting to new, unseen situations and typically requires exhaustive problem-specific tuning. To address these gaps, we propose a First-Order Meta-based RL (FOM-RL) algorithm within an online framework for adaptive and robust critical load restoration. By harnessing local DERs as the enabling technology, FOM-RL allows the RL agent to swiftly adapt to new unseen scenarios by leveraging previously acquired knowledge of different tasks. Experimental results provide evidence that proposed algorithm learns more efficiently and showcases generalization capabilities across diverse set of operational scenarios. Moreover, a rigorous theoretical analysis yields a tight sublinear regret bound, sensitive to temporal variability, with a task-averaged optimality gap bounded by ${\mathcal{O}}\left({\frac{{{V_M} + {D^ * }}}{{\sqrt T M}}}\right)$. These results suggest that optimality improves with task similarity and an increased number of tasks M, reaffirming the efficacy and scalability of the proposed approach in addressing the complexities of critical load restoration in distribution systems.

关键词： computers Renewable energy sources Fault tolerance Energy resources Scalability Reinforcement learning Smart grids Distributed power generation Complexity theory Tuning

来源：评论

学校读者我要写书评

暂无评论

A Feasibility Study on Novel View Synthesis of Underwater Structures using Neural Radiance Fields

A Feasibility Study on Novel View Synthesis of Underwater St...

引用

OCEANS

作者： Yuen Min Too Hari Vishnu Mandar Chitre Bharath Kalyan Luyuan Peng Rajat Mishra Acoustic Research Laboratory Tropical Marine Science Institute National University of Singapore Department of Electrical & Computer Engineering National University of Singapore

ISBN: (数字)9798350362077

ISBN: (纸本)9798350362084

We explore Neural Radiance Fields (NeRFs) for synthesizing novel views of underwater structures. This learning-based approach relies on a sparse set of camera views to model the 3D geometry of underwater structures and scenes. Real-world underwater scenes exhibit significant temporal variations, introducing challenges in maintaining visual consistency. We investigate three NeRF implementations: 1) nerfacto, which rep-resents the baseline; 2) nerfacto with transient embed dings and 3) nerfacto with a robust loss, which are designed to deal with scene inconsistencies. We evaluate these implementations using datasets collected in 1) a controlled environment and 2) a real underwater setting. The modified implementations consistently outperform the original nerfacto across both datasets. The performance im-provements are particularly pronounced in the dataset obtained from the real underwater setting where scene inconsistencies are more prevalent. This underscores the importance of robustifying NeRF implementations to ensure consistent performance in the challenging underwater environments.

关键词： Underwater structures Visualization Solid modeling Three-dimensional displays Oceans Neural radiance field Cameras

来源：评论

学校读者我要写书评

暂无评论

Low-latency Secure Integrated Sensing and Communication with Transmitter Actions

Low-latency Secure Integrated Sensing and Communication with...

引用

IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Truman Welling Onur Günlü Aylin Yener Department of Electrical and Computer Engineering The Ohio State University USA Information Theory and Security Laboratory (ITSL) Linköping University Sweden

ISBN: (数字)9798350393187

ISBN: (纸本)9798350393194

This paper considers an information theoretic model of secure integrated sensing and communication, represented as a wiretap channel with action dependent states. This model allows securing part of a transmitted message against a sensed target that eavesdrops the communication, while enabling transmitter actions to change the channel statistics. An exact secrecy-distortion region is given for a physically-degraded channel. A finite-length achievability region is established for the model using an output statistics of random binning method, giving an achievable bound for low-latency applications.

关键词： Transmitters Wireless networks Surveillance Forensics Oral communication Reliability theory Integrated sensing and communication Distortion measurement Low latency communication Eavesdropping

来源：评论

学校读者我要写书评

暂无评论

A Design and Implementation of Water Heater Model Plant with Temperature Estimation Model for IOT Studies 7

A Design and Implementation of Water Heater Model Plant with...

引用

7th International Conference on Vocational Education and electrical engineering, ICVEE 2024

作者： Pradhana, Anak Agung Surya Funabiki, Nobuo Kotama, I Nyoman Darma Desnanjaya, I Gusti Made Ngurah Radhitya, Made Leo Mahajaya, Nyoman Sarasuartha Okayama University Graduate School of Environmental Life Natural Science and Technology Okayama Japan Okayama University Department of Electrical and Communication Engineering Okayama Japan Institute of Business and Technology Indonesia Department of Computer System Engineering Denpasar Indonesia Institute of Business and Technology Indonesia Department of Informatic Technology Denpasar Indonesia Institut Teknologi Dan Bisnis Stikom Departement of Magister Information Systems Denpasar Indonesia

ISBN: (纸本)9798331505103

This study presents the development of an Internet of Things (IoT) system for a water heater model, focusing on enhancing reliability during sensor malfunctions that could disrupt operations. Using the SEMAR IoT platform, the system efficiently collects and analyzes data, while the integration of the Holt-Winter algorithm ensures accurate temperature estimates, even with unreliable or missing sensor data. The algorithm successfully auto-calibrates sensors, predicts temperature at specific time intervals based on real sensor behavior, and fills in missing data during sensor failures. Tests show strong correlations between estimated and actual temperatures, allowing uninterrupted operation. This solution offers a flexible, cost-effective alternative to traditional redundancy, ensuring system reliability during sensor failures. Future research will explore alternative predictive models and conduct real-world testing to validate the system's resilience under complex conditions. © 2024 IEEE.

关键词： Temperature measurement

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the 2022 IEEE Open Conference of electrical, Electronic and Information Sciences (eStream' 2022): Organizers Foreword

Proceedings of the 2022 IEEE Open Conference of Electrical, ...

引用

2022 IEEE Open Conference of electrical, Electronic and Information Sciences, eStream 2022

作者： Navakauskas, Dalius Paulikas, Sarunas Sledevic, Tomyslav Udris, Dainius Vilnius Tech Department of Electronic Systems Vilnius03227 Lithuania Vilnius Tech Department of Computer Science and Communications Technologies Vilnius03227 Lithuania Vilnius Tech Department of Electrical Engineering Vilnius03227 Lithuania

ISBN: (纸本)9781665450485

We are very glad to welcome our colleagues-young scientists, researchers and practitioners to the 9-Th IEEE Open Conference of electrical, Electronic and Information Sciences (eStream'2022), held in Vilnius Gediminas Technical Univer-sity (VILNIUS TECH),Vilnius, Lithuania, on 21 April 2022. The eStream conferences aim to disseminate the research achievements between worldwide groups of scientists and engineers working in different areas of sciences to reach more tight relationships and generate new ideas for joint projects or other means of collaboration. © 2022 IEEE.

关键词： Conferences Collaboration

来源：评论

学校读者我要写书评

暂无评论

Hybrid Germanium-on-Zinc Selenide Waveguides for Longwave Infrared Integrated Photonics

Hybrid Germanium-on-Zinc Selenide Waveguides for Longwave In...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Chao Dong Dingding Ren Jens Høvik Md Istiak Khan Astrid Aksnes Bjørn-Ove Fimland David Burghoff Department of Electrical and Computer Engineering University of Texas at Austin Austin USA Department of Electrical Engineering University of Notre Dame Notre Dame USA Department of Electronic Systems Norwegian University of Science and Technology (NTNU) Trondheim Norway

We demonstrate a silicon-free germanium-on-zinc selenide (GOZ) platform for integrated longwave infrared photonics, achieving transparency from $2\ \mu \mathrm{m}$ to $14 \ \mu \mathrm{m}$ and optical losses of ju... 详细信息

ISBN: (纸本)9798350369311

关键词： Optical losses Integrated optics Waveguide lasers Electro-optical waveguides Photonics

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：