检索结果-内蒙古大学图书馆

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

eLight 2022年第1期2卷 132-142页

作者： Qian Ma Wei Gao Qiang Xiao Lingsong Ding Tianyi Gao Yajun Zhou Xinxin Gao Tao Yan Che Liu Ze Gu Xianghong Kong Qammer HAbbasi Lianlin Li Cheng‑Wei Qiu Yuanqing Li Tie Jun Cui Institute of Electromagnetic Space Southeast UniversityNanjing 210096China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China State Key Laboratory of Millimeter Wave Southeast UniversityNanjing 210096China Center of Intelligent Metamaterials Pazhou Laboratory Guangzhou 510330China Research Center for Brain-Computer Interface Pazhou LabGuangzhou 510330China Department of Electrical and Computer Engineering National University of SingaporeSingaporeSingapore University of Glasgow James Watt School of EngineeringGlasgow G128QQUK State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsPeking UniversityBeijing 100871China

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 *** 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 *** 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 *** wireless communications of the human minds are performed between two EBCM operators with accurate text ***,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.

关键词： communication computer surface

来源：评论

学校读者我要写书评

暂无评论

Space-Air-Ground Integrated Network (SAGIN) for 6G: Requirements, Architecture and Challenges

引用

China Communications 2022年第2期19卷 90-108页

作者： Huanxi Cui Jun Zhang Yuhui Geng Zhenyu Xiao Tao Sun Ning Zhang Jiajia Liu Qihui Wu Xianbin Cao School of Electronic and Information Engineering Beijing Key Laboratory for Network-Based Cooperative Air application ManagementBeihang UniversityBeijing 100191China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081China China Mobile Research Institute Beijing 100053China Department of Electrical and Computer Engineering University of WindsorONCanadaN9B 3P4 National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology the School of CybersecurityNorthwestern Polytechnical UniversityXi’anShaanxi710072China College of Electronics and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210007China

As the fifth-generation(5G)mobile communication network may not meet the requirements of emerging technologies and applications,including ubiquitous coverage,industrial internet of things(IIoT),ubiquitous artificial intelligence(AI),digital twins(DT),etc.,this paper aims to explore a novel space-air-ground integrated network(SAGIN)architecture to support these new requirements for the sixth-generation(6G)mobile communication network in a flexible,low-latency and efficient ***,we first review the evolution of the mobile communication network,followed by the application and technology requirements of *** the current 5G non-terrestrial network(NTN)architecture in supporting the new requirements is deeply *** that,we proposes a new flexible,low-latency and flat SAGIN architecture,and presents corresponding use ***,the future research directions are discussed.

关键词： 6G AI DT SAGIN NTN Network architecture

来源：评论

学校读者我要写书评

暂无评论

An Effective Personality Recognition Model Design using Generative Artificial Intelligence based Learning Principles

An Effective Personality Recognition Model Design using Gene...

引用

Computing and Data Science (ICCDS), International Conference on

作者： G. Jenifa Padmapriya. K Sevanthi P K. Karthika V. Samuthira Pandi Deepak Arumugam Department of Computer Science and Engineering (Artificial Intelligence) Madanapalle Institute of Technology and Science Andhra Pradesh India Department of Computer Science and Engineering RMD Engineering College Chennai India Department of AI & DS S.A. Engineering College (Autonomous) Chennai Tamil Nadu India Department of Civil Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Tamil Nadu India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai

ISBN: (数字)9798350365337

ISBN: (纸本)9798350365344

Personality recognition from textual data plays a crucial role in various applications such as social media analysis, recommendation systems, and personalized marketing. In this study, we propose an effective personality recognition model leveraging Generative Artificial Intelligence based Learning Principles (GAILP), which combines DenseNet feature extraction from user profile images with text-based features extracted using Natural Language Processing (NLP) techniques. The model is implemented in Python, utilizing popular libraries such as TensorFlow, Scikit-learn, and NLTK. We evaluate the performance of the proposed model on a Myers-Briggs Personality Type Dataset obtained from Kaggle, containing self-reported MBTI types and associated textual data. Experimental results demonstrate the effectiveness of the GAILP model, achieving an accuracy of over 97% in personality recognition tasks. Our findings highlight the importance of integrating visual and textual cues for accurate personality recognition and underscore the potential of GAILP-based approaches in this domain.

关键词： Visualization Accuracy Image recognition Generative AI Learning (artificial intelligence) Feature extraction Natural language processing

来源：评论

学校读者我要写书评

暂无评论

Efficient Model Training in Edge Networks with Hierarchical Split Learning

引用

IEEE Transactions on Mobile Computing 2025年

作者： Zhang, Songge Wu, Wen Song, Lingyang Shen, Xuemin Peking University Shenzhen Graduate School School of Electronic and Computer Engineering Shenzhen518055 China Pengcheng Laboratory Frontier Research Center Shenzhen518055 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Xiangtan University Hunan Institute of Advanced Sensing and Information Technology Xiangtan China University of Waterloo Department of Electrical and Computer Engineering WaterlooN2L 3G1 Canada

In this paper, we propose an efficient model training scheme, named Group-based Hierarchical Split Learning (GHSL), which can accelerate the artificial intelligence (AI) training process in edge networks in a "first-sequential-then-parallel" manner. Specifically, the proposed scheme hierarchically splits an AI model into a user-side and server-side model, while dividing a number of users into multiple groups. Users in each group train user-side models with the interaction of the shared server-side model sequentially;different groups perform the above training process parallelly;the AI models of each group are aggregated into a global model. We also carry out the convergence analysis for the proposed scheme over non-independent and identically distributed data, which reveals that the convergence rate depends on user grouping. Furthermore, we propose a data-driven two-stage user grouping algorithm to minimize the overall training delay, taking user resource heterogeneity and the black-box training process into account. The proposed algorithm first utilizes the Gaussian process regression approach to determine the number of groups, and then employs the coalition game theory to determine the optimal user grouping decision. Comprehensive simulation results demonstrate that the proposed scheme can reduce training delay, user-side computational workload, and communication overhead by up to 19%, 53%, and 54%, respectively, comparing to state-of-the-art benchmarks. © 2002-2012 IEEE.

关键词： Game theory

来源：评论

学校读者我要写书评

暂无评论

Nanophotonic neural probe enabled light-sheet light-field fluorescence imaging microendoscope

Nanophotonic neural probe enabled light-sheet light-field fl...

引用

2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Ding, Peisheng Wahn, Hannes Chen, Fu-Der Luo, Xianshu Lo, Guo-Qiang Poon, Joyce K.S. Sacher, Wesley D. Max Planck Institute of Microstructure Physics Weinberg 2 Halle06120 Germany Department of Electrical and Computer Engineering University of Toronto 10 King's College Road TorontoONM5S 3G4 Canada Advanced Micro Foundry Pte Ltd 11 Science Park Road Singapore Science Park II 117685 Singapore

We demonstrate a lensless volumetric imaging microendoscope for deep-brain fluorescence microscopy. It consists of a nanophotonic neural probe for light-sheet illumination and an image fiber bundle for light-field flu... 详细信息

ISBN: (纸本)9781957171258

关键词： Nanophotonics

来源：评论

学校读者我要写书评

暂无评论

Brain Region Knowledge Based Dual-Stream Transformer for EEG Emotion Recognition

引用

IEEE Transactions on Consumer Electronics 2025年

作者： Lin, Yichuan Xu, Geng-Xin Liang, Haotian Wang, Yishan Wan, Feng Li, Ye Southern University of Science and Technology Shenzhen518055 China Research Center for Biomedical Information Technology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Hangzhou Institute of Advanced Technology Chinese Academy of Sciences China Department of Electrical and Computer Engineering The Faculty of Science and Technology The Centre for Cognitive and Brain Sciences The Centre for Artificial Intelligence and Robotics Institute of Collaborative Innovation University of Macau China

In consumer electronics, affective computing allows devices to recognize and respond to the emotional states of individuals, thereby enhancing personalization and satisfaction. Electroencephalogram (EEG)-based emotion recognition methods have garnered attention for their capability to provide real-time, objective insights into emotional and cognitive states. Existing research mainly focuses on extracting temporal and spectral features from EEG signals for emotion recognition. However, electrode shifts may occur across different experiments during data acquisition, resulting in models with limited robustness and constrained classification performance. To address this challenge, this paper introduces a Brain Region Knowledge based Dual-Stream network (BRKDSnet) for emotion recognition. It employs a dual-stream architecture to effectively fuse the temporal, spectral, and spatial features of EEG signals. By incorporating prior brain region partition knowledge, it efficiently aggregates channel features into distinct brain region features. Such a brain region based partition mitigates noise issues caused by electrode shifts during user wearing in consumer electronic applications, and leading to learn more robust feature representations. The experiments conducted on the widely used emotion recognition datasets SEED and SEED-IV shows that BRKDSnet achieves state-of-the-art results, with accuracies of 97.81% (improved by 0.64%-3.57% compared to existing works) and 90.76% (improved by 3.13%-11.39%) respectively. Finally, through analysis of the visualization results, it is found that EEG channels located in the temporal lobe contributed the most to emotion recognition classification, which also provides the potential for future applications in wearable devices. © 2025 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Microwave-Induced Cooling in Double Quantum Dots: Achieving Millikelvin Temperatures to Reduce Thermal Noise around Spin Qubits

arXiv

引用

arXiv 2024年

作者： Vashaee, Daryoosh Abouie, Jahanfar Department of Materials Science & Engineering North Carolina State University RaleighNC27606 United States Department of Electrical & Computer Engineering North Carolina State University RaleighNC27606 United States Department of Physics Institute for Advanced Studies in Basic Sciences Zanjan45137-66731 Iran

Spin qubits in gate-defined quantum dots are emerging as a leading technology due to their scalability and long coherence times. However, maintaining these qubits at ultra-low temperatures typically requires complex cryogenic systems. This paper proposes a novel gate-defined double quantum dot (DQD) cooling system using microwave-induced state depopulation and phonon filtering to achieve local temperatures below 10 mK at a bath temperature of 1 K. The system utilizes microwave-induced state depopulation and phonon filtering, combined with fast cyclic detuning of the quantum dot on-site energies and Rabi oscillations, to efficiently transfer thermal populations to the ground state, thereby surpassing natural thermal transition rates. The cooling cycle involves adjusting gate potentials to drive the system through adiabatic and diabatic transitions, complemented by microwave pulses resonant with specific energy level differences. This mechanism continuously pumps population from excited states into the ground state, effectively reducing the system's temperature. Numerical calculations demonstrate the feasibility of achieving these low local temperatures, with detailed analysis showing the sensitivity of cooling performance to detuning energy, magnetic field strength, and diabatic return time. Copyright © 2024, The Authors. All rights reserved.

关键词： Semiconductor quantum dots

来源：评论

学校读者我要写书评

暂无评论

Cavity Quantum Electrodynamics with Quantum Dots in Aperiodic Photonic Devices

Cavity Quantum Electrodynamics with Quantum Dots in Aperiodi...

引用

2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Trojak, Oliver J. Gorsky, Sean Sgrignuoli, Fabrizio Pinheiro, Felipe A. Song, Jin Dong Negro, Luca Dal Sapienza, Luca Advanced Research Centre University of Glasgow GlasgowG11 6EW United Kingdom Department of Electrical and Computer Engineering Boston University MA02215 United States Instituto de Fisica Universidade Federal do Rio de Janeiro RJ Rio de Janeiro21941972 Brazil Korea Institute of Science and Technology Seoul136791 Korea Republic of

We experimentally show that aperiodic photonic devices, composed of freestanding GaAs membranes embedding single InAs/GaAs quantum dots, allow controlling the spontaneous emission of single photons, with lifetime modi... 详细信息

ISBN: (纸本)9781957171258

关键词： Photonic devices

来源：评论

学校读者我要写书评

暂无评论

Design of Digital Phase Frequency Detector in ADPLL RF Transceiver

Design of Digital Phase Frequency Detector in ADPLL RF Trans...

引用

Agrosystem engineering, Technology & Applications (AGRETA), IEEE International Conference on

作者： Abdul Khaliq Jahariah Sampe Fazida Hanim Hashim Huda Abdullah Noor Hidayah Mohd Yunus Muhammad Abuzar Baqir Institute of Microengineering & Nanoelectronics Universiti Kebangsaan Malaysia Bangi Malaysia Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Bangi Malaysia Advanced Telecommunication Technology Communication Technology Section Universiti Kuala Lumpur Malaysia Electrical & Computer Engineering Department COMSATS University Islamabad Sahiwal Punjab Pakistan

ISBN: (数字)9798350373660

ISBN: (纸本)9798350373677

CMOS technology advancements have significantly enhanced smart farming monitoring system (SFMS) miniaturization and efficiency, especially in transceivers using All-Digital Phase-Locked Loops (ADPLLs). The ADPLL's phase-frequency detector (PFD) evaluates two digital inputs to identify frequency and phase errors. A time-to-digital converter (TDC), typically used by the PFD block, has high power usage and slow phase-frequency acquisition. Therefore, the study aims to minimize the high-power consumption and improve the fast phase-frequency acquisition of traditional Phase-Frequency Detectors (PFDs) by developing a Verilog HDL-optimized digital PFD explicitly designed for ultra-low power ADPLLs. The simulation results revealed a duty cycle of 34.2%, no frequency difference, and a time difference of 0.05 ns, suggesting accurate phase error detection and correction. The PFD's fast response time and minimal dead zone impact assure fast phase lock, which is crucial for SFMS in real-time. Furthermore, the ultra-low power and fast locking range required by the Verilog-simulated PFD design make it ideal for SFMS applications. This research highlights how improved PFD designs may develop high-performance, low-power ADPLL transceivers.

关键词： Smart agriculture Radio frequency Time-frequency analysis Low power electronics Phase frequency detectors Transceivers Real-time systems Time factors Hardware design languages Monitoring

来源：评论

学校读者我要写书评

暂无评论

A nonconvex framework for structured dynamic covariance recovery

引用

The Journal of Machine Learning Research 2022年第1期23卷 9056-9146页

作者： Katherine Tsai Mladen Kolar Oluwasanmi Koyejo Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL University of Chicago Booth School of Business Chicago IL Department of Computer Science Beckman Institute for Advanced Science and Technology and Statistics University of Illinois at Urbana-Champaign Urbana IL

We propose a flexible, yet interpretable model for high-dimensional data with time-varying second-order statistics, motivated and applied to functional neuroimaging data. Our approach implements the neuroscientific hypothesis of discrete cognitive processes by factorizing covariances into sparse spatial and smooth temporal components. Although this factorization results in parsimony and domain interpretability, the resulting estimation problem is nonconvex. We design a two-stage optimization scheme with a tailored spectral initialization, combined with iteratively refined alternating projected gradient descent. We prove a linear convergence rate up to a nontrivial statistical error for the proposed descent scheme and establish sample complexity guarantees for the estimator. Empirical results using simulated data and brain imaging data illustrate that our approach outperforms existing baselines.

关键词： dynamic covariance structured factor model alternating projected gradient descent time series data functional connectivity

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：