检索结果-内蒙古大学图书馆

Optical Wireless Integrated Sensing and Communication Based on Optical Phased Array: Performance Metric and Optimal Beamforming

学校读者我要写书评

暂无评论

IEEE Transactions on Wireless Communications 2025年

作者： Wen, Yunfeng Yang, Fang Song, Jian Han, Zhu Tsinghua University Department of Electronic Engineering Beijing100084 China State Key Laboratory of Widegap Semiconductor Optoelectronic Materials and Technologies Beijing100084 China Tsinghua University Shenzhen International Graduate School Shenzhen518055 China University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

Optical wireless integrated sensing and communication (OW-ISAC) is emerging as a crucial technology to complement and augment its radio-frequency counterpart. In this paper, we propose an optical phased array (OPA)-based OW-ISAC framework to enable concurrent multi-user communication and environment imaging. The optical beamforming and atmospheric propagation are first elaborated to introduce the principles of OPA-based OW-ISAC. In addition, the investigation into the multi-beam property, direct detection scheme, and sensing task of imaging for OW-ISAC yields dedicated signal-to-interference-plus-noise ratio and contrast metrics for communication and sensing sub-systems, respectively. Moreover, the precoding matrices and photodiode orientations are jointly optimized to achieve optimal beamforming. Subsequently, numerical simulations illustrate the relationships between communication and sensing performance metrics. Furthermore, the proposed OW-ISAC scheme is substantiated in a realistic scenario with the optimized beamforming. The demonstrated high-precision sensing and reliable communication capabilities of OPA-based OW-ISAC can serve plentiful future applications in the era of connection and intelligence. © 2002-2012 IEEE.

关键词： Optical communication

Revolutionizing Neurological Diagnostics: Integrating 6G Technology with Deep Learning for Enhanced Detection of Multiple Sclerosis and Myelitis

学校读者我要写书评

暂无评论

Revolutionizing Neurological Diagnostics: Integrating 6G Tec...

Telecommunications Conference (ITC-Egypt), International

作者： Rana M. NourEldeen Rahma A. Elshshtawy Omnia A. Elgohary Fatma Alzahraa A. Wahba Marco K. Attia Zeinab B. Abo elazm Mohamed G. Khattap Hend Galal Eldeen Mohamed Ali Hassan Mariam Mostafa Nayra Ibrahim Reem Ramadan Yomna Refaat Mennatallah Khaled Ali Maher Mohamed Abd Elaziz Ahmed Gamal Abdellatif Ibrahim Radiology and Medical Imaging Faculty of Applied Health Sciences Galala University Suez Egypt Biomedical Informatics Faculty of Computer Science and Engineering Galala University Suez Egypt Artificial Intelligence Science Program Faculty of Computer Science and Engineering Galala University Suez Egypt Department of Electronics and Electrical Communications Engineering Air Defense College Alexandria Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

This paper proposes an alternative detection frame-work for multiple sclerosis (MS) and idiopathic acute transverse myelitis (ATM) within the 6G-enabled Internet of Medical Things (IoMT) environment. The developed framework relies on the implementation of a deep learning technique known as Dense Convolutional Networks (DenseNets) in the 6G-enabled IoMT to enhance prediction performance. To validate the performance of DenseNets, we compared it with other deep learning techniques, including Convolutional Neural Networks (CNN) and MobileNet, using real-world datasets. The experimental results show the high performance of DenseNets in predicting MS and ATM compared to other methods, achieving an accuracy of nearly 90 %.

关键词： 6G mobile communication Deep learning Multiple sclerosis Accuracy Internet of Medical Things Telecommunications Convolutional neural networks

High thermoelectric power factor in Ni-Fe alloy for active cooling applications

学校读者我要写书评

暂无评论

arXiv 2025年

作者： Li, Shuai Das, Sree Sourav Wang, Haobo Bati, Sujit Balachandran, Prasanna V. Shiomi, Junichiro Floro, Jerrold A. Zebarjadi, Mona Department of Materials Science and Engineering University of Virginia CharlottesvilleVA22904 United States Electrical and Computer Engineering Department University of Virginia CharlottesvilleVA22904 United States Department of Physics University of Virginia CharlottesvilleVA22904 United States Department of Mechanical Engineering University of Tokyo Tokyo Japan

Metallic thermoelectric materials are promising candidates for active cooling applications, where high thermal conductivity and a high thermoelectric power factor are essential to maximize effective thermal conductivity. While metals inherently possess high thermal and electrical conductivities, they typically exhibit low Seebeck coefficients. In this work, we create a database and apply machine learning techniques to identify metallic binary alloys with large Seebeck coefficients. Specifically, we identify Ni-Fe as a promising candidate for active cooling. We then fabricate Ni-Fe ingots and demonstrate thermoelectric power factor values as high as 120 μW/cm·K2 at 200 K for these stable alloys, which are composed of cost-effective and abundant elements. Furthermore, we show that the effective thermal conductivity of these alloys, under small temperature differences, can exceed that of pure copper at temperatures above 250 K. Copyright © 2025, The Authors. All rights reserved.

关键词： Iron alloys

Ultralow Energy van der Waals InSe PN junction heterostructure photodetector for NIR applications

学校读者我要写书评

暂无评论

Ultralow Energy van der Waals InSe PN junction heterostructu...

CLEO: science and Innovations, S and I 2022

作者： Dong, Chaobo Patil, Chandraman Wang, Hao Krylyuk, Sergiy Davydov, Albert Dalir, Hamed Sorger, Volker J. Department of Electrical and Computer Engineering George Washington University WashingtonDC20052 United States Optelligence LLC Upper MarlboroMD20772 United States Materials Science and Engineering Division National Institute of Standards and Technology GaithersburgMD20899 United States

We show a self-driven indium selenide (InSe) p-n heterojunction photodetector with a threefold increase in responsivity at 980 nm over a photoconductor detector based on p- or n-doped regions. © Optica Publishing... 详细信息

ISBN: (纸本)9781557528209

关键词： Photons

Merging toroidal dipole bound states in the continuum without up-down symmetry in Lieb lattice metasurfaces

学校读者我要写书评

暂无评论

arXiv 2023年

作者： Zhu, Guodong Yang, Sen Ndukaife, Justus C. Vanderbilt Institute of Nanoscale Science and Engineering Vanderbilt University NashvilleTN37235 United States Interdisciplinary Materials Science Vanderbilt University NashvilleTN37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University NashvilleTN37235 United States Vanderbilt Institute of Nanoscale Science and Engineering Department of Electrical Engineering and Computer Science Vanderbilt University NashvilleTN37235 United States

The significance of bound states in the continuum (BICs) lies in their potential for theoretically infinite quality factors. However, their actual quality factors are limited by imperfections in fabrication, which lead to coupling with the radiation continuum. In this study, we present a novel approach to address this issue by introducing a merging BIC regime based on a Lieb lattice. By utilizing this approach, we effectively suppress the out-of-plane scattering loss, thereby enhancing the robustness of the structure against fabrication artifacts. Notably, unlike previous merging systems, our design does not rely on the up-down symmetry of metasurfaces. This characteristic grants more flexibility in applications that involve substrates and superstrates with different optical properties, such as microfluidic devices. Furthermore, we incorporate a lateral band gap mirror into the design to encapsulate the BIC structure. This mirror serves to suppress the in-plane radiation resulting from finite-size effects, leading to a remarkable ten-fold improvement in the quality factor. Consequently, our merged BIC metasurface, enclosed by the Lieb lattice photonic crystal mirror, achieves an exceptionally high-quality factor of 105 while maintaining a small footprint of 26.6×26.6 um. Our findings establish an appealing platform that capitalizes on the topological nature of BICs within compact structures. This platform holds great promise for various applications, including optical trapping, optofluidics, and high-sensitivity biodetection, opening up new possibilities in these fields. Copyright © 2023, The Authors. All rights reserved.

关键词： Energy gap

Entanglement-Enhanced Neyman-Pearson Target Detection

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Ward, William Hariri, Abdulkarim Zhang, Zheshen Applied Physics Program University of Michigan Ann ArborMI48104 United States Department of Electrical Engineering and Computer Science University of Michigan Ann ArborMI48104 United States

Quantum illumination (QI) provides entanglement-enabled target-detection enhancement, despite operating in an entanglement-breaking environment. Existing experimental studies of QI have utilized a Bayesian approach, assuming that the target is equally likely to be present or absent before detection, to demonstrate an advantage over classical target detection. However, such a premise breaks down in practical operational scenarios in which the prior probability is unknown, thereby hindering QI's applicability to real-world target-detection scenarios. In this work, we adopt the Neyman-Pearson criterion in lieu of the error probability for equally likely target absence or presence as our figure of merit for QI. We demonstrate an unconditional quantum advantage over the optimal classical-illumination protocol as benchmarked by the receiver operating characteristic, which examines detection probability versus false-alarm probability without resorting to known prior probabilities. Our work represents a critical advancement in adapting quantum-enhanced sensing to practical operational settings. © 2024, CC BY.

关键词： Quantum entanglement

Graphene based Ris for thz Wireless Communication

学校读者我要写书评

暂无评论

Graphene based Ris for thz Wireless Communication

International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Azib Ahmed Mohaira Ahmad Sajjad Ur Rehman Lixia Yang School of Electrical Enginnering and Computer Science National University of Sciences and Technology Islamabad Pakistan Department of Electrical Engineering Namal University Mianwali Pakistan Information Materials and Intelligent Sensing Laboratory of Anhui Province Anhui University Hefei China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

Recent research endeavors have been dedicated to innovative wireless hardware designs and connection concepts aimed at fulfilling the ambitious objectives of 6th Generation (6G) wireless communications. The inclusion of Terahertz (THz) technology in modern infrastructure holds immense potential for shaping 6G networks, offering amplified throughput, extended coverage, heightened security, and improved positioning while reducing power consumption. The demand for efficient control over THz waves has grown alongside the advancements in wireless domain. Reconfigurable Intelligent Surfaces (RIS) have garnered a lot of attention as a means of regulating electromagnetic waves. In this study, we investigate the utilization of a RIS employing graphene-based materials to control THz waves, with a specific focus on enhancing reflection performance and enabling beam steering. Our proposed RIS design entails a periodic array of graphene stacked over a grounded substrate.

关键词： Wireless communication 6G mobile communication Graphene Reconfigurable intelligent surfaces Throughput Reflection Communication system security Integrated circuit modeling Frequency control Terahertz communications

Development of a dual-spectroscopic system to rapidly measure diisopropyl methyl phosphonate (DIMP) decomposition and temperature in a reactive powder environment

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Borah, Preetom Alemohammad, Milad Foster, Mark Weihs, Timothy P. Department of Materials Science and Engineering Johns Hopkins University BaltimoreMD21218 United States Hopkins Extreme Materials Institute Johns Hopkins University BaltimoreMD21218 United States Department of Electrical and Computer Engineering Johns Hopkins University BaltimoreMD21218 United States

The development of systems to measure and optimize emerging energetic material performance is critical for Chemical Warfare Agent (CWA) defeat. In order to assess composite metal powder efficacy on CWA simulant defeat, this study documents a combination of two spectroscopic systems designed to monitor the decomposition of a CWA simulant and temperature rises due to combusting metal powders simultaneously. The first system is a custom benchtop Polygonal Rotating Mirror Infrared Spectrometer (PRiMIRS) incorporating a fully customizable sample cell to observe the decomposition of Diisopropyl Methyl Phosphonate (DIMP) as it interacts with combusting composite metal particles. The second is a tunable diode laser absorption spectroscopy (TDLAS) used to monitor increases in background gas temperatures as the composite metal powders combust. The PRiMIRS system demonstrates a very high signal to noise ratio (SNR) at slow timescales (Hz), reasonable SNR when operating at faster timescales (100 Hz), and capabilities of resolving spectral features with a FWHM resolution of 15 cm−1. TDLAS was able to monitor temperature rises between room temperature and 230 ± 5C while operating at 100 Hz. For testing, liquid DIMP was inserted in a preheated stainless steel (SS) cell to generate DIMP vapor and (Al–8Mg):Zr metal powders were ignited in a SS mount with a resistively heated nichrome wire at one end of the cell. The ignited particles propagated across the cell containing DIMP vapor. The path averaged gas temperature in the preheated SS cell rises rapidly (100 ms) and decays slowly ( © 2024, CC BY.

关键词： Zirconium compounds

Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection

学校读者我要写书评

暂无评论

arXiv 2024年

作者： Lee, Saehyung Mok, Jisoo Park, Sangha Shin, Yongho Jung, Dahuin Yoon, Sungroh Department of Electrical and Computer Engineering Seoul National University Korea Republic of Qualcomm Korea YH Seoul Korea Republic of School of Computer Science and Engineering Soongsil University Korea Republic of Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of

In our study, we explore methods for detecting unwanted content lurking in visual datasets. We provide a theoretical analysis demonstrating that a model capable of successfully partitioning visual data can be obtained using only textual data. Based on the analysis, we propose Hassle-Free Textual Training (HFTT), a streamlined method capable of acquiring detectors for unwanted visual content, using only synthetic textual data in conjunction with pre-trained vision-language models. HFTT features an innovative objective function that significantly reduces the necessity for human involvement in data annotation. Furthermore, HFTT employs a clever textual data synthesis method, effectively emulating the integration of unknown visual data distribution into the training process at no extra cost. The unique characteristics of HFTT extend its utility beyond traditional out-of-distribution detection, making it applicable to tasks that address more abstract concepts. We complement our analyses with experiments in out-of-distribution detection and hateful image detection. Our codes are available at https://***/Saehyung-Lee/HFTT © 2024, CC BY.

关键词： Data assimilation