检索结果-内蒙古大学图书馆

Functional plastic films:nano-engineered composite based flexible microwave antennas with near-unity relative visible transmittance

引用

Light(Advanced Manufacturing) 2024年第2期5卷 95-105页

作者： Cheng Zhang Liang Zhu Chengang Ji Zhilu Ye Nabeel Alsaab Minye Yang Yuhui Hu Pai-Yen Chen L.Jay Guo School of Optical and Electronic Information&Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan430074China Department of Electrical and Computer Engineering University of Illinois at ChicagoChicagoIL 60607USA Department of Electrical Engineering and Computer Science University of MichiganAnn ArborMI 48109USA

Microwave antennas are essential elements for various applications,such as telecommunication,radar,sensing,and wireless power *** antennas are conventionally manufactured on rigid substrates using opaque materials,such as metal strips,metallic tapes,or epoxy pastes;thus,prohibiting their use in flexible and wearable devices,and simultaneously limiting their integration into existing optoelectronic ***,we demonstrate that mechanically flexible and optically transparent microwave antennas with high operational efficiencies can be readily fabricated using composite nanolayers deposited on common plastic *** composite nanolayer structure consists of an ultra-thin copper-doped silver film sandwiched between two dielectric films of tantalum pentoxide and aluminum *** material and thickness of each constituent layer are judiciously selected such that the whole structure exhibits an experimentally measured averaged visible transmittance as high as 98.94%compared to a bare plastic substrate,and simultaneously,a sheet resistance as low as 12.5Ω/*** representative types of microwave antennas are implemented:an omnidirectional dipole antenna,unidirectional Yagi-Uda antenna,low-profile patch antenna,and Fabry-Pérot cavity *** devices exhibit great mechanical flexibility with bending angle over 70°,high gain of up to 13.6 dBi,and large radiation efficiency of up to 84.5%.The proposed nano-engineered composites can be easily prepared over large areas on various types of substrates and simultaneously overcome the limitations of poor mechanical flexibility,low electrical conductivity,and reduced optical transparency usually faced by other constituent materials for flexible transparent microwave *** demonstrated flexible microwave antennas have various applications ranging from fifth-generation and vehicular communication systems to bio-signal monitors and wearable electronics.

关键词： Optically transparent antenna Flexible microwave antenna Transparent conductor Ultra-thin silver Doped silver Wearable optoelectronics

来源：评论

学校读者我要写书评

暂无评论

Ge_(0.92)Sn_(0.08)/Ge multi-quantum-well LEDs operated at 2-μm-wavelength on a 12-inch Si substrate

引用

Photonics Research 2023年第10期11卷 1606-1612页

作者： SHAOTENG WU LIN ZHANG RONGQIAO WAN HAO ZHOU KWANG HONG LEE QIMIAO CHEN YI-CHIAU HUANG XIAO GONG CHUAN SENG TAN School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore State Key Laboratory of Superlattices and Microstructures Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China Applied Materials Inc.SunnyvaleCalifornia 95054USA Department of Electrical and Computer Engineering National University of SingaporeSingapore 117576Singapore

The development of an efficient group-IV light source that is compatible with the CMOS process remains a significant goal in Si-based ***,the Ge Sn alloy has been identified as a promising candidate for realizing Si-based light ***,previous research suffered from a small wafer size,limiting the throughput and *** overcome this challenge,we report the successful growth of Ge Sn/Ge multiple-quantum-well(MQW)p-i-n LEDs on a 12-inch(300-mm)Si *** the best of our knowledge,this represents the first report of semiconductor LEDs grown on such a large *** MQW LED epitaxial layer is deposited on a 12-inch(300-mm)(001)-oriented intrinsic Si substrate using commercial reduced pressure chemical vapor *** mitigate the detrimental effects of threading dislocation densities on luminescence,the Ge Sn/Ge is grown *** to the high crystal quality and more directness in the bandgap,enhanced electroluminescence(EL)integrated intensity of 27.58 times is demonstrated compared to the Ge *** MQW LEDs exhibit EL emission near 2μm over a wide operating temperature range of 300 to 450 K,indicating hightemperature *** work shows that Ge Sn/Ge MQW emitters are potential group-IV light sources for large-scale manufacturing.

关键词： quantum emitter overcome

来源：评论

学校读者我要写书评

暂无评论

Efficient and Unique Learning of The Complex Receiver Structure of Galileo E5 AltBOC Using an Educational Software in Matlab 4

Efficient and Unique Learning of The Complex Receiver Struct...

引用

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

作者： Ali, Irfan Khan, Subhan Ali, Mumtaz Mujeeb, Kashif Sukkur Iba University Computer Systems Engineering Department Sindh Sukkur Pakistan School of Electrical & Information Engineering University of Sydney Sydney Australia

ISBN: (纸本)9798350335316

In this paper, a unique and efficient method for learning the complex receiver structure of Galileo E5 AltBOC (Alternative Binary Offset Carrier) is presented. The methodology involves a software application designed in Matlab, which demonstrates the steps required to design a software receiver for Galileo E5 signal. The software application covers key concepts related to the Galileo E5 signal, such as signal acquisition, signal tracking, navigation data extraction, power spectral density (PSD) of the AltBOC (15,10), Fast Fourier Transform (FFT) of the E5a and E5b signals, and implementation of the subcarrier used for the AltBOC (15,10). Additionally, this paper presents a novel approach for extracting navigation data using the prompt channel of carrier tracking from the code loop discriminator. © 2023 IEEE.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

ETAG: An Energy-Neutral Ear Tag for Real-Time Body Temperature Monitoring of Dairy Cattle 23

ETAG: An Energy-Neutral Ear Tag for Real-Time Body Temperatu...

引用

29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023

作者： Vu, Hien Chung, Hanwook Choi, Christopher Kim, Younghyun Department of Electrical and Computer Engineering College of Engineering Wisconsin Embedded Systems and Computing Laboratory University of Wisconsin-Madison MadisonWI60032179 United States

ISBN: (纸本)9781450399906

Heat stress, caused by a warming climate and the increasingly high milk-producing dairy cattle, is one of the major threats to the well-being of dairy cattle as well as the economic, environmental, and social sustainability of dairy farming around the world. Timely identification of cows under heat stress is crucial to improving animal welfare, preventing milk production losses, and preserving water and energy for *** paper presents a smart ear tag, named eTag, and an associated system that can read a passive microchip temperature sensor subcutaneously injected into the animal with minimal discomfort. It features a lightweight design using a single coil shared for microchip scanning and wireless charging. eTag is autonomously recharged by a wireless charger over the head during daily milking sessions, enabling perpetual operation without battery replacement after deployment. The real-world performance of the proposed system was examined intensively in a three-week deployment on seven lactating Holstein cows. We demonstrate that eTag can reliably collect accurate body temperature in real time while maintaining a positive energy flow. The deployment of eTag will enable the timely detection of heat stress and facilitate precision control of barn cooling systems. © 2023 ACM.

关键词： Energy harvesting

来源：评论

学校读者我要写书评

暂无评论

Robust Multi-Graph Contrastive Network for Incomplete Multi-View Clustering

引用

IEEE Transactions on Multimedia 2025年 27卷 2747-2759页

作者： Xue, Zhe Li, Yawen Guan, Zhongchao Li, Wenling Liang, Meiyu Zhou, Hai Beijing University of Posts and Telecommunications Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia School of Computer Science Beijing100876 China Beijing University of Posts and Telecommunications School of Economics and Management Beijing100876 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China

Food categorization is pivotal in numerous aspects of everyday life, assisting in the selection of food, managing diets, and addressing essential survival requirements. By leveraging the complementary information of various views, multi-view learning usually achieves superior performance compared to the single-view learning methods. However, characterized by the unrestrained openness of internet platforms and potential inconsistencies in food data collection processes, multi-view features often suffer from data loss, resulting in incomplete multi-view food data. Conventional multi-view clustering methods often falter in effectively capitalizing on the diverse correlations contained in food data, and exhibit limitations in dealing with the noise and irregularities pervading different views. Addressing these challenges, this paper presents the Robust Multi-Graph Contrastive network (RMGC) for multi-view food clustering. RMGC artfully combines multi-view representation learning with multi-graph contrastive regularization, creating a cohesive framework to manage incomplete multi-view data. By developing a multi-view encoding network, RMGC seamlessly blends various views into a cohesive representation, astutely assessing the significance of each view. More importantly, the proposed robust multi-graph contrastive regularization enhances the precision of the learned representation and successfully counteracts the noise and unreliability in multi-view data. The experiments conducted across several multi-view datasets manifest the effectiveness of RMGC, showing its superiority over existing methods. Our method not only making an advancement in food categorization but also contributes to the broader field of multi-view learning, offering innovative solutions for handling incomplete and noisy multi-view data. © 1999-2012 IEEE.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Quantitative comparison between reflection and transmission modes for the inspection of composite materials using pulsed thermography 45

Quantitative comparison between reflection and transmission ...

引用

Thermosense: Thermal Infrared Applications XLV 2023

作者： Alhammad, M. Avdelidis, N.P. Ibarra-Castanedo, C. Torbali, M.E. Zolotas, A. Maldague, X.P.V. School of Aerospace Transport and Manufacturing Cranfield University United Kingdom Universite Laval Computer Vision and Systems Laboratory Department of Electrical and Computer Engineering Quebec CityG1V 0A6 Canada

ISBN: (纸本)9781510661868

Composite materials have extensively been used in the aerospace industry. There are several inspection methods to ensure the safety of these composites;pulse thermography (PT) is one of the most promising ones. Both reflection and transmission modes of PT could be applied. However, few studies reveal the advantages and disadvantages of these two modes. This paper presents a quantitative comparison of pulsed thermal imaging in two modes of reflection and gradual heat transfer in carbon fibres. Experimental work was conducted on carbon fibre-reinforced plastic (CFRP) samples with different thicknesses and thermal images were recorded in both modes. Thermal images were further processed using statistical analysis and machine learning algorithms. Comparing the results from both modes, there is a marked improvement in the accuracy when the reflection mode is employed. © 2023 SPIE.

关键词： Nondestructive examination

来源：评论

学校读者我要写书评

暂无评论

Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning

Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Lea...

引用

2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Zhang, Songge Tu, Haoyu Li, Zuguang Liu, Shengbo Li, Shaofeng Wu, Wen Shen, Xuemin Sherman Peking University School of Electronic and Computer Engineering Shenzhen China Frontier Research Center Peng Cheng Laboratory Shenzhen China Department of Electrical and Computer Engineering Sun Yat-Sen University Guangzhou China Shenzhen China Department of Electrical and Computer Engineering University of Waterloo ON Canada

ISBN: (纸本)9798350345384

Federated learning (FL) and split learning (SL) are two machine learning paradigms that can distributedly train artificial intelligence (AI) models while guaranteeing client privacy. FL can parallelly train AI models based on clients' dataset, but it suffers from considerable communication overhead for model uploading and imposes a significant on-device computation workload. SL can mitigate the computation workload of the devices by offloading part of the AI model training to an edge server, but it suffers from long training delay for a large number of clients. To address these challenges, in this paper we present a cluster-based hybrid split federated learning (Cluster-HSFL) scheme by integrating FL and SL paradigms. This scheme can reduce training latency and alleviate on-device computational constraints while preserving accuracy performance. We establish a testbed for the Cluster-HSFL scheme based on the NVIDIA Jetson series hardware. The experimental results demonstrate that the Cluster-HSFL surpasses FL and SL by 6.3× and 1.8×, respectively, in terms of delay performance. Our results provide insight into the practical performance of the Cluster-HSFL scheme and can help guide future experimental research on SL in resource-limited wireless networks. © 2023 IEEE.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

A low-fabrication-temperature, high-gain chip-scale waveguide amplifier

引用

Science China(Information Sciences) 2022年第6期65卷 247-255页

作者： Bo WANG Peiqi ZHOU Xingjun WANG Yandong HE State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsSchool of Electronics Engineering and Computer Science Peking University Institute of Microelectronics School of Electronics Engineering and Computer Science Peking University Frontier Science Center for Nano-optoelectronics Peking University Peking University Yangtze Delta Institute of Optoelectronics Peng Cheng Laboratory

The increasing prevalence of integrated on-chip optoelectronic devices has identified serious issues regarding inter-device transmission and coupling losses, highlighting an urgent need for on-chip waveguide amplifiers to compensate for these losses. Compared with other Er-based optical materials, erbium silicate is ideally suited to high-efficiency on-chip amplifiers and lasers because of its extremely high Er3+concentration(1022cm-3). Nevertheless, erbium silicate must be annealed above 1000℃ to crystallize and activate the Er3+, which damages other on-chip optoelectronic components and is not conducive to device ***, we report a low-fabrication-temperature, high-luminescence-efficiency gain material by adding Bi2O3to an erbium-ytterbium silicate mixed film. Our experiments demonstrate that the proposed film crystallizes at 600℃ while the activation of Er3+is also achieved, which is the lowest activation temperature of on-chip waveguide amplifier to our knowledge. This material forms the basis for a new chip-scale waveguide amplifier design, with a theoretical multi-energy-level model of Bi-Er-Yb in the mixed thin films used to analyze its signal enhancement properties. We achieve a peak on-chip gain of 23 dB in a 3.3-mm-long waveguide under the pump and signal powers of 300 mW and 1 μW, respectively. These results highlight the potential of the proposed material for realizing on-chip amplifiers and lasers for large-scale nanophotonic integrated circuits.

关键词： photonic circuit integration low fabrication temperature high gain rare earth material waveguide amplifier

来源：评论

学校读者我要写书评

暂无评论

Descreening of Dispersed-dot Halftone Images with Generative Adversarial Networks 28

Descreening of Dispersed-dot Halftone Images with Generative...

引用

IS and T International Symposium on Electronic Imaging: 28th Color Imaging: Displaying, Processing, Hardcopy, and Applications, COLOR 2023

作者： Choi, Baekdu Allebach, Jan P. Electronic Imaging Systems Laboratory School of Electronic and Computer Engineering Purdue University West LafayetteIN47907 United States

Halftoning a continuous-tone image inherently results in loss of information, which makes the inverse process, descreening, a challenging problem. Current state-of-the-art descreening algorithms have two issues: first, they mostly are PSNR-oriented reconstruction algorithms, which tend to generate piecewise smooth images that do not appear realistic due to their lack of texture. Furthermore, these algorithms are typically trained with halftone images generated from the Floyd-Steinberg error diffusion algorithm, which is not an optimal choice since the algorithm is known to generate visible artifacts in the halftone image. We address these issues by the following: first, we propose a GAN-based descreening algorithm that generate descreened images with abundant texture resulting in more realistic appearance. In the GAN generator, we use residual in residual dense blocks (RRDBs) which are known to perform well in image reconstruction tasks. For the discriminator, we use a U-net to process the image features in multiple resolutions. Next, we propose using the direct binary search (DBS) algorithm instead of Floyd-Steinberg error diffusion for generating the halftone images, since it is known to generate halftone images without visible artifacts. Both qualitative and quantitative comparisons show that our algorithm outperforms state-of-the-art descreening algorithms significantly. © 2023, Society for Imaging Science and Technology.

关键词： Textures

来源：评论

学校读者我要写书评

暂无评论

Digital Twins for Creating Virtual Models of Solar Photovoltaic Plants

Digital Twins for Creating Virtual Models of Solar Photovolt...

引用

2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023

作者： George, Deborah Venayagamoorthy, Ganesh K. Clemson University Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering ClemsonSC29634 United States

ISBN: (纸本)9781665430654

Amidst the challenges posed by the high penetration of distributed energy resources (DERs), particularly a number of distributed photovoltaic plants (DPVs), in modern electric power distribution systems (MEPDS), the integration of new technologies and frameworks become crucial for addressing operation, management, and planning challenges. Situational awareness (SA) and situational intelligence (SI) over multi-time scales is essential for enhanced and reliable PV power generation in MEPDS. In this paper, data-driven digital twins (DTs) are developed using AI paradigms to develop actual and/or virtual models of DPV s, These DTs are then applied for estimating and forecasting the power outputs of physical and virtual PV plants. Virtual weather stations are used to estimate solar irradiance and temperature at user-selected locations in a localized region, using inferences from physical weather stations. Three case studies are examined based on data availability: physical PV plant, hybrid PV plants, and virtual PV plants, generating real-time estimations and short-term forecasts of PV power production that can support distribution system studies and decision-making. © 2023 IEEE.

关键词： - AI digital twin distributed energy resources power distribution systems virtual systems weather stations

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：