检索结果-内蒙古大学图书馆

arXiv 2022年

作者： Zhu, Guangxu Lyu, Zhonghao Jiao, Xiang Liu, Peixi Chen, Mingzhe Xu, Jie Cui, Shuguang Zhang, Ping Shenzhen Research Institute of Big Data Shenzhen518172 China Shenzhen518172 China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing100871 China Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral Gables33146 United States State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China Peng Cheng Laboratory Shenzhen518066 China

Pushing artificial intelligence (AI) from central cloud to network edge has reached board consensus in both industry and academia for materializing the vision of artificial intelligence of things (AIoT) in the sixth-generation (6G) era. This gives rise to an emerging research area known as edge intelligence, which concerns the distillation of human-like intelligence from the huge amount of data scattered at wireless network edge. In general, realizing edge intelligence corresponds to the process of sensing, communication, and computation, which are coupled ingredients for data generation, exchanging, and processing, respectively. However, conventional wireless networks design the sensing, communication, and computation separately in a task-agnostic manner, which encounters difficulties in accommodating the stringent demands of ultra-low latency, ultra-high reliability, and high capacity in emerging AI applications such as auto-driving. This thus prompts a new design paradigm of seamless integrated sensing, communication, and computation (ISCC) in a task-oriented manner, which comprehensively accounts for the use of the data in the downstream AI applications. In view of its growing interest, this article provides a timely overview of ISCC for edge intelligence by introducing its basic concept, design challenges, and enabling techniques, surveying the state-of-the-art development, and shedding light on the road ahead. Copyright © 2022, The Authors. All rights reserved.

关键词： Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Low-loss hybrid plasmonic TM-pass polarizer using polarization-dependent mode conversion

引用

Photonics Research 2020年第7期8卷 1197-1202页

作者： Ruixuan Chen Bowen Bai Zhiping Zhou State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China Peking University Shenzhen Research Institute Shenzhen 518057China Nano-optoelectronics Frontier Center of Ministry of Education Peking UniversityBeijing 100871China

A low-loss hybrid plasmonic transverse magnetic(TM)-pass polarizer has been demonstrated utilizing polarization-dependent mode *** advantage of the silicon hybrid plasmonic slot waveguide(HPSW),the unwanted transverse electric(TE)fundamental mode can be efficiently converted first to a TM higher-order mode and then suppressed by a power combiner,while the retained TM fundamental mode can pass through with negligible *** the HPSW feature both strong structural asymmetry and a small interaction area in the cross-section between the metal and optical field,the optimized insertion loss of the device is as low as 0.4 d *** the wavelength of 1550 nm,the extinction ratio is 28.3 d B with a moderate footprint of 2.38μm×10μ*** the entire C band,the average reflection of the TE mode is suppressed below-14 d B,and the extinction ratio is over 18.6 d *** work provides another more efficient and effective approach for better on-chip polarizers.

关键词： polarization polarizer pass

来源：评论

学校读者我要写书评

暂无评论

Narrow-linewidth optical frequency comb reference to a fiber delay line

Narrow-linewidth optical frequency comb reference to a fiber...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： Haochen Tian Fei Meng Baike Lin Shiying Cao Zhanjun Fang Youjian Song Minglie Hu Ultrafast Laser Laboratory Key Laboratory of Opto-Electronic Information Technical Science of Ministry of Education School of Precision Instrument and Opto-Electronics Engineering Tianjin University Tianjin China National Institute of Metrology Beijing China Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Engineering and Computer Science Peking University Beijing China

A fully-stabilized Er:fiber optical frequency comb referenced to a km-long fiber delay line is presented. The comb mode’s fractional frequency stability is at 10 −12 level in 12.8 ms. The absolute linewidth is 587 Hz.

关键词： Phase measurement Laser noise Laser mode locking Measurement by laser beam Delay lines Lasers and electrooptics Optical harmonic generation

来源：评论

学校读者我要写书评

暂无评论

Fiber optic jerk sensor in monitoring earthquake response of high-rise building 27

Fiber optic jerk sensor in monitoring earthquake response of...

引用

27th International Conference on Optical Fiber Sensors, OFS 2020

作者： Zhang, Wentao Huang, Wenzhu Zhao, Bin Zhang, Jianxiang Li, Zhengbin Li, Li Li, Fang College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing China State Key Laboratory of Transducer Technology Institute of Semiconductors Chinese Academy of Sciences Beijing China College of Civil Engineering Tongji University Shanghai China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing China Institute of Geophysics China Earthquake Administration Beijing China

This paper proposed an earthquake response monitoring technique of high-rise buliding using fiber optic jerk sensor. The results show that the fiber optic jerk sensor can monitor the jerk response of different seismic... 详细信息

ISBN: (纸本)9781557523075

关键词： Fiber optics

来源：评论

学校读者我要写书评

暂无评论

Lightweight Task-Oriented Semantic communication Empowered by Large-Scale AI Models

引用

IEEE Transactions on Vehicular Technology 2025年

作者： Liu, Chuanhong Guo, Caili Yang, Yang Chen, Mingzhe Quek, Tony Q. S. Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing100876 China Beijing University of Posts and Telecommunications Beijing Laboratory of Advanced Information Networks School of Information and Communication Engineering Beijing100876 China University of Miami Department of Electrical and Computer Engineering Institute for Data Science and Computing Coral GablesFL United States Singapore University of Technology and Design Dept. of Information Systems Technology and Design 487372 Singapore

Recent studies have focused on leveraging large-scale artificial intelligence (LAI) models to improve semantic representation and compression capabilities. However, the substantial computational demands of LAI models pose significant challenges for real-time communication scenarios. To address this, this paper proposes utilizing knowledge distillation (KD) techniques to extract and condense knowledge from LAI models, effectively reducing model complexity and computation latency. Nevertheless, the inherent complexity of LAI models leads to prolonged inference times during distillation, while their lack of channel awareness compromises the distillation performance. These limitations make standard KD methods unsuitable for task-oriented semantic communication scenarios. To address these issues, we propose a fast distillation method featuring a pre-stored compression mechanism that eliminates the need for repetitive inference, significantly improving efficiency. Furthermore, a channel adaptive module is incorporated to dynamically adjust the transmitted semantic information based on varying channel conditions, enhancing communication reliability and adaptability. In addition, an information bottleneck-based loss function is derived to guide the fast distillation process. Simulation results verify that the proposed scheme outperform baselines in term of task accuracy, model size, computation latency, and training data requirements. © 1967-2012 IEEE.

关键词： NP-hard

来源：评论

学校读者我要写书评

暂无评论

Photonic-based fully integrated microwave instantaneous frequency measurement

Photonic-based fully integrated microwave instantaneous freq...

引用

Asia communications and Photonics Conference and Exhibition (ACP)

作者： Yuansheng Tao Zihan Tao Haowen Shu Ming Jin Xingjun Wang State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing China Frontier Science Center for Nano-optoelectronics Peking University Beijing China Peking University Yangtze Delta Institute of Optoelectronics Nantong China Peng Cheng Laboratory Shenzhen China

We demonstrate the first photonic-based fully integrated microwave instantaneous frequency measurement system, showing a wideband measurement range of 2–34 GHz and an ultralow estimation error of 10.85 MHz.

ISBN: (纸本)9781957171005

关键词： Microwave measurement Estimation error Electronic warfare Measurement uncertainty Asia Microwave communication Frequency estimation

来源：评论

学校读者我要写书评

暂无评论

Demonstration of an on-chip TE-pass polarizer using a silicon hybrid plasmonic grating

引用

Photonics Research 2019年第3期7卷 289-293页

作者： BOWEN BAI FENGHE YANG ZHIPING ZHOU State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Peking University Shenzhen Research Institute

An on-chip, high extinction ratio transverse electric(TE)-pass polarizer using a silicon hybrid plasmonic grating is proposed and experimentally demonstrated. Utilizing plasmonics to manipulate the effective index and mode distribution, the transverse magnetic mode is reflected and absorbed, while the TE mode passes through with relatively low propagation loss. For a 6-μm-long device, the measurement result shows that the extinction ratio in the wavelength range of 1.52 to 1.58 μm varies from 24 to 33.7 dB and the insertion loss is 2.8–4.9 dB. Moreover,the structure exhibits large alignment tolerance and is compatible with silicon-on-insulator fabrication technology.

关键词： TE-pass polarizer using silicon hybrid plasmonic grating transverse magnetic mode

来源：评论

学校读者我要写书评

暂无评论

Finding transport network configurations using supervised machine learning

Finding transport network configurations using supervised ma...

引用

45th European Conference on Optical communication (ECOC 2019)

作者： Tobias Enderle Institute of Communication Networks and Computer Engineering University of Stuttgart Stuttgart Germany

ISBN: (纸本)9781839531859

We propose a machine learning-based approach using a random forest for the fast computation of optimized transport network routing configurations. An evaluation in a 7-node network shows that our approach achieves competitive results in terms of solution quality and computation time compared to an exact ILP solution.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural networks

引用

IEEE Transactions on Wireless communications 2025年

作者： Liu, Mengbing Huang, Chongwen Alhammadi, Ahmed Renzo, Marco Di Debbah, Merouane Yuen, Chau Nanyang Technological University School of Electrical and Electronics Engineering 639798 Singapore Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China Zhejiang Provincial Key Laboratory of Multi-Modal Communication Networks and Intelligent Information Processing Hangzhou310027 China Technology Innovation Institute Masdar City Abu Dhabi United Arab Emirates Université Paris-Saclay CNRS Laboratoire des Signaux et Systèmes CentraleSupélec 3 Rue Joliot-Curie Gif-sur-Yvette91192 France King’s College London Centre for Telecommunications Research – Department of Engineering LondonWC2R 2LS United Kingdom Khalifa University KU6G. Research Center Department of Computer and Information Engineering Abu Dhabi127788 United Arab Emirates University Paris-Saclay CentraleSupelec Gif-sur-Yvette91192 France

Reconfigurable intelligent surface (RIS) is emerging as a promising technology for next-generation wireless communication networks, offering a variety of merits such as the ability to tailor the communication environment. Moreover, deploying multiple RISs helps mitigate severe signal blocking between the base station (BS) and users, providing a practical and efficient solution to enhance the service coverage. However, fully reaping the potential of a multi-RIS aided communication system requires solving a non-convex optimization problem. This challenge motivates the adoption of learning-based methods for determining the optimal policy. In this paper, we introduce a novel heterogeneous graph neural network (GNN) to effectively leverage the graph topology of a wireless communication environment. Specifically, we design an association scheme that selects a suitable RIS for each user. Then, we maximize the weighted sum rate (WSR) of all the users by iteratively optimizing the RIS association scheme, and beamforming designs until the considered heterogeneous GNN converges. Based on the proposed approach, each user is associated with the best RIS, which is shown to significantly improve the system capacity in multi-RIS multi-user millimeter wave (mmWave) communications. Specifically, simulation results demonstrate that the proposed heterogeneous GNN closely approaches the performance of the high-complexity alternating optimization (AO) algorithm in the considered multi-RIS aided communication system, and it outperforms other benchmark schemes. Moreover, the performance improvement achieved through the RIS association scheme is shown to be of the order of 30%. © 2002-2012 IEEE.

关键词： Beamforming

来源：评论

学校读者我要写书评

暂无评论

Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform

arXiv

引用

arXiv 2022年

作者： Ma, Qian Gao, Wei Xiao, Qiang Ding, Lingsong Gao, Tianyi Zhou, Yajun Gao, Xinxin Yan, Tao Liu, Che Gu, Ze Kong, Xianghong Abbasi, Qammer H. Li, Lianlin Qiu, Cheng-Wei Li, Yuanqing Cui, Tie Jun Institute of Electromagnetic Space Southeast University Nanjing210096 China School of Automation Science and Engineering South China University of Technology Guangzhou510641 China State Key Laboratory of Millimeter Wave Southeast University Nanjing210096 China Center of Intelligent Metamaterials Pazhou Laboratory Guangzhou510330 China Research Center for Brain-Computer Interface Pazhou Lab Guangzhou510330 China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore University of Glasgow James Watt School of Engineering GlasgowG12 8QQ United Kingdom State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics Peking University Beijing100871 China

Brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled vision and promise for assisting patients in need to better their interaction with the surroundings. Inspired by the BCI-based rehabilitation technologies for nerve-system impairments and amputation, we propose an electromagnetic brain-computer-metasurface (EBCM) paradigm, regulated by human's cognition by brain signals directly and non-invasively. We experimentally show that our EBCM platform can translate human's mind from evoked potentials of P300-based electroencephalography to digital coding information in the electromagnetic domain non-invasively, which can be further processed and transported by an information metasurface in automated and wireless fashions. Directly wireless communications of the human minds are performed between two EBCM operators with accurate text transmissions. Moreover, several other proof-of-concept mind-control schemes are presented using the same EBCM platform, exhibiting flexibly-customized capabilities of information processing and synthesis like visual-beam scanning, wave modulations, and pattern encoding. © 2022, CC BY.

关键词： Electrophysiology

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：