检索结果-内蒙古大学图书馆

arXiv 2023年

作者： Lei, Chunyu Chen, C.L. Philip Guo, Jifeng Zhang, Tong The Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information The School of Computer Science and Engineering South China University of Technology Guangzhou510006 China The Brain and Affective Cognitive Research Center Pazhou Lab Guangzhou510335 China

Deep learning generally suffers from enormous computational resources and time-consuming training processes. Broad Learning system (BLS) and its convolutional variants have been proposed to mitigate these issues and have achieved superb performance in image classification. However, the existing convolutional-based broad learning system (C-BLS) either lacks an efficient training method and incremental learning capability or suffers from poor performance. To this end, we propose a convolutional broad learning system (ConvBLS) based on the spherical K-means (SKM) algorithm and two-stage multi-scale (TSMS) feature fusion, which consists of the convolutional feature (CF) layer, convolutional enhancement (CE) layer, TSMS feature fusion layer, and output layer. First, unlike the current C-BLS, the simple yet efficient SKM algorithm is utilized to learn the weights of CF layers. Compared with random filters, the SKM algorithm makes the CF layer learn more comprehensive spatial features. Second, similar to the vanilla BLS, CE layers are established to expand the feature space. Third, the TSMS feature fusion layer is proposed to extract more effective multi-scale features through the integration of CF layers and CE layers. Thanks to the above design and the pseudo-inverse calculation of the output layer weights, our proposed ConvBLS method is unprecedentedly efficient and effective. Finally, the corresponding incremental learning algorithms are presented for rapid remodeling if the model deems to expand. Experiments and comparisons demonstrate the superiority of our method. Copyright © 2023, The Authors. All rights reserved.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

A Computationally Efficient Target Localization Algorithm in Underwater Wireless Sensor Networks

A Computationally Efficient Target Localization Algorithm in...

引用

International Conference on Computers, Communications, and systems (ICCCS)

作者： Xiaojun Mei Huafeng Wu Dezhi Han Xinqiang Chen Jiangfeng Xian Bing Han College of Information Engineering Shanghai Maritime University National Engineering Research Center of Ship & Shipping Control System Shanghai Ship and Shipping Research Institute Co. Ltd Shanghai China Merchant Marine College Shanghai Maritime University Shanghai China Institute of Logistics Science and Engineering Shanghai Maritime University Shanghai China Hubei Key Laboratory of Inland Shipping Technology Wuhan University of Technology Wuhan China

Localization is of paramount importance for underwater wireless sensor networks (UWSNs). However, achieving accurate location is infeasible, especially in the highly dynamic underwater environment. The acoustic signal may suffer hybrid loss, including path and absorption loss, which dramatically degrades the localization accuracy. Even though some localization methods have been proposed, the trade-off between accuracy and computational complexity cannot be well balanced. In this context, the paper proposes a computationally efficient method that investigates the localization problem in the alternating nonnegative constrained least squares (ANCLS) framework after linearization operation. The potential solutions are divided into two groups, wherein the optimal one is filtered under the constraint by exchanging the variables from one to another. A block principal pivoting-based localization (BPPL) method is then presented to estimate the target's location. Simulations reveal that the computational complexity and the localization accuracy of BPPL are competitive compared with the state-of-the-art methods in different scenarios.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions

arXiv

引用

arXiv 2024年

作者： Zhu, Xiang Ruan, Guangchun Geng, Hua Liu, Honghai Bai, Mingfei Peng, Chao The Department of Automation Tsinghua University Beijing10084 China Beijing National Research Center for Information Science and Technology Tsinghua University Beijing10084 China MIT BostonMA02139 United States The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical & Electronic Engineering North China Electric Power University Beijing102206 China The School of Automation Engineering University of Electronics and Technology of China Chengdu611731 China

Microgrid serves as a promising solution to integrate and manage distributed renewable energy resources. In this paper, we establish a stochastic multi-objective sizing optimization (SMOSO) model for microgrid planning, which fully captures the battery degradation characteristics and the total carbon emissions. The microgrid operator aims to simultaneously maximize the economic benefits and minimize carbon emissions, and the degradation of the battery energy storage system (BESS) is modeled as a nonlinear function of power throughput. A self-adaptive multi-objective genetic algorithm (SAMOGA) is proposed to solve the SMOSO model, and this algorithm is enhanced by pre-grouped hierarchical selection and self-adaptive probabilities of crossover and mutation. Several case studies are conducted to determine the microgrid size by analyzing Pareto frontiers, and the simulation results validate that the proposed method has superior performance over other algorithms on the solution quality of optimum and diversity. Copyright © 2024, The Authors. All rights reserved.

关键词： Multiobjective optimization

来源：评论

学校读者我要写书评

暂无评论

Sparse Large-Scale Fading Decoding in Cell-Free Massive MIMO systems

Sparse Large-Scale Fading Decoding in Cell-Free Massive MIMO...

引用

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

作者： Shuaifei Chen Jiayi Zhang Emil Bjornsont Ö zlem Tuğ fe Demir Bo Ai School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing China Department of Computer Science KTH Royal Institute of Technology Kista Sweden

ISBN: (数字)9781665494557

ISBN: (纸本)9781665494564

Cell-free massive multiple-input multiple-output (CF mMIMO) systems are characterized by having many more access points (APs) than user equipments (UEs). A key challenge is to determine which APs should serve which UEs. Previous work has tackled this combinatorial problem heuristically. This paper proposes a sparse large-scale fading decoding (LSFD) design for CF mMIMO to jointly optimize the association and LSFD. We formulate a group sparsity problem and then solve it using a proximal algorithm with block-coordinate descent. Numerical results show that sparse LSFD achieves almost the same spectral efficiency as optimal LSFD, thus achieving a higher energy efficiency since the processing and signaling are reduced.

关键词： Fading channels Wireless communication Spectral efficiency Signal processing algorithms Massive MIMO MIMO Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

A global-scale multidecadal variability driven by Atlantic multidecadal oscillation

引用

National science Review 2020年第7期7卷 1190-1197页

作者： Young-Min Yang Soon-Il An Bin Wang Jae Heung Park Department of Atmospheric Science Key Laboratory of Meteorological Disaster of Ministry of Education Joint International Research Laboratory of Climate and Environment Change Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters and Earth System Modeling Center Nanjing University of Information Science and Technology Department of Atmospheric Sciences and International Pacific Research Center University of Hawaii Department of Atmospheric Sciences and Irreversible Climate Change Research Center Yonsei University Division of Environmental Science and Engineering Pohang University of Science and Technology

Observational analysis shows that there is a predominant global-scale multidecadal variability(GMV) of sea-surface temperature(SST). Its horizontal pattern resembles that of the interdecadal Pacific oscillation(IPO) in the Pacific and the Atlantic multidecadal oscillation(AMO) in the Atlantic Ocean, which could affect global precipitation and temperature over the globe. Here, we demonstrate that the GMV could be driven by the AMO through atmospheric teleconnections and atmosphere–ocean coupling *** reveal a strong negative correlation when AMO leads GMV by approximately 4–8 *** experiments using a climate model driven by observed AMO signals reveal that the tropical Atlantic warm SST anomalies of AMO initiate anomalous cooling in the equatorial central-eastern Pacific through atmospheric teleconnections. Anticyclonic anomalies in the North and South Pacific induce equatorward winds along the coasts of North and South America, contributing to further cooling. The upper-ocean dynamics plays a minor role in GMV formation but contributes to a delayed response of the IPO to the AMO forcing. The possible impact of the GMV on AMO was also tested by prescribing only Pacific SST in the model; however, the model could not reproduce the observed phase relationship between the AMO and the GMV. These results support the hypothesis that the Atlantic Ocean plays a key role in the multidecadal variability of global SST.

关键词： global-scale multidecadal variability Atlantic multidecadal oscillation atmospheric teleconnection interdecadal Pacific oscillation

来源：评论

学校读者我要写书评

暂无评论

Uplink Control information Based Clustered Access and Discontinuous Reception Management for mMTC

引用

IEEE Communications Letters 2025年第6期29卷 1380-1384页

作者： Wang, Shao-Di Wang, Chang-Long Wang, Hui-Ming Zhou, Feng Leung, Victor C. M. Xidian University Key Laboratory of Electronic Information Countermeasure and Simulation Technology of Ministry of Education Xi’an710071 China Xi’an Jiaotong University School of Information and Communication Engineering Ministry of Education Key Lab for Intelligent Networks and Network Security Xi’an710049 China Shenzhen MSU BIT University Artificial Intelligence Research Institute Shenzhen518172 China Shenzhen University College of Computer Science and Software Engineering Shenzhen518060 China The University of British Columbia Department of Electrical and Computer Engineering VancouverBCV6T 1Z4 Canada

Uplink control information (UCI) and discontinuous reception (DRX) play important roles for massive machine type communication (mMTC). Despite their standalone significance, a conspicuous gap exists in comprehensively exploring the synergy between UCI and DRX concerning both energy conservation and latency reduction for mMTC. In this letter, we propose a UCI-based clustered access and DRX management (UCADM) scheme that strikes a balance between these two critical performance metrics, reducing energy usage while preserving low latency in uplink-downlink interaction for mMTC. Specifically, we present a strictly feasible solution for the proposed UCADM scheme by using the spectral radius and the constraint projection, which can effectively solve DRX switching operations as indicated by scheduling information from UCI. Simulation results confirm the effectiveness of our scheme. © 1997-2012 IEEE.

关键词： information management

来源：评论

学校读者我要写书评

暂无评论

Deep Reservoir Computing for 100 Gbaud PAM6 IM/DD Transmission Impairment Mitigation

Deep Reservoir Computing for 100 Gbaud PAM6 IM/DD Transmissi...

引用

2023 Optical Fiber Communications Conference and Exhibition, OFC 2023

作者： Han, Mengyao Wang, Muguang Fan, Yuchuan Salgals, Toms Louchet, Hadrien Schatz, Richard Gruen, Markus Pittala, Fabio Krüger, Benjamin Dippon, Thomas Zhang, Lu Yu, Xianbin Spolitis, Sandis Bobrovs, Vjaceslavs Popov, Sergei Pang, Xiaodan Ozolins, Oskars Ministry of Education Beijing Jiaotong University Institute of Lightwave Technology Key Lab of All Optical Network & Advanced Telecommunication Network Beijing100044 China KTH Royal Institute of Technology Department of Applied Physics Stockholm106 91 Sweden RISE Research Institutes of Sweden Kista164 40 Sweden Riga Technical University Institute of Telecommunications Riga1048 Latvia Keysight Technologies GmbH Böblingen Germany Zhejiang University College of Information Science and Electronic Engineering Zhejiang Lab Hangzhou China Riga Technical University Communication Technologies Research Center Riga1048 Latvia

We experimentally evaluate a deep Reservoir Computing (RC)-based post-equalization for 100 Gbaud PAM6 IM/DD transmissions. It achieves ∼1 dB higher sensitivity than DFE, and ∼50% implementation complexity reduction ... 详细信息

ISBN: (纸本)9781957171180

关键词： Pulse amplitude modulation

来源：评论

学校读者我要写书评

暂无评论

A Robust Agatston Score for Coronary Artery Calcium Scoring from Non-ECG-Gated CT with Different Reconstruction Kernels

A Robust Agatston Score for Coronary Artery Calcium Scoring ...

引用

IEEE International Symposium on Biomedical Imaging

作者： Shuo Zhang Xinmei Su Quanlong Feng Zifeng Wu Zhenghua Xu State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Health Sciences and Biomedical Engineering Hebei University of Technology China DeepWise AI Lab Beijing China School of Information and Electronics Beijing Institute of Technology Beijing China College of Land Science and Technology China Agricultural University Beijing China

A coronary artery calcium score (CACS) is a vital measure to screen individuals at risk for early coronary heart disease. However, as the main evaluation system of CACS, the Agatston score computed from CT images via HU-thresholding may vary significantly even for the same individual as the protocol of image acquisition changes (e.g., reconstruction kernels). This may harm the compatibility of CACS, when evaluated in different health facilities at different times. To tackle this issue, we propose the robust Agatston score (RAS), wherein we predict the calcification level per pixel via deep learning, rather than directly thresholding the HU value from CT images, as we do for the classic Agatston score. In this way, we make the CACS more robust to the change of acquisition protocols, and let the comparison among CACS from various sources easier. Experimental results show that our method can improve the CACS level accuracy from 64.21% to 95.78%. Code is available at https://***/lucas-dw/ras.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Electronic Nose Based on the Integration of MEMS Multi-Sensor and CMOS Circuit

Electronic Nose Based on the Integration of MEMS Multi-Senso...

引用

IEEE International Conference on Micro Electro Mechanical systems

作者： Xiawei Yue Jiachuang Wang Fangyu Zhao Pingping Zhang Heng Yang Tiger H. Tao Nan Qin State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai China School of Graduate Study University of Chinese Academy of Sciences Beijing China Suzhou Huiwen Nanotechnology Co. Ltd. Jiangsu China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing China School of Physical Science and Technology ShanghaiTech University Shanghai China Shanghai Research Center for Brain Science and Brain-Inspired Intelligence Shanghai China Neuroxess Co. Ltd. (Jiangxi) Nanchang Jiangxi China 2020 X-Lab Shanghai Institute of Microsystem and Information Technology

This paper reports a new design of electronic nose based on MEMS (Micro Electromechanical system) multi-sensor and CMOS (Complementary Metal Oxide Semiconductor) circuit. An array of multiple gas sensors integrated with temperature and moisture sensing channels are fabricated on a single chip. Silicon below the suspended membrane is etching completely through the wafer. The chip is then flipped and bonded to CMOS device. It not only simplifies the integration technology with CMOS chip, but also improve the conductivity of the connection. This design shows its potential for precise and rapid response of environment gas sensing and opens new opportunities for the fabrication of electronic nose and future development of bionic olfactory microsystems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

SP3: Enhancing Structured Pruning via PCA Projection

arXiv

引用

arXiv 2023年

作者： Hu, Yuxuan Zhang, Jing Zhao, Zhe Zhao, Chen Chen, Xiaodong Li, Cuiping Chen, Hong School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering MOE China Engineering Research Center of Database and Business Intelligence MOE China Tencent AI Lab Tencent Beijing China School of Computer Science and Technology Xi'an Jiaotong University Xi'An China

Structured pruning is a widely used technique for reducing the size of pre-trained language models (PLMs), but current methods often overlook the potential of compressing the hidden dimension (d) in PLMs, a dimension critical to model size and efficiency. This paper introduces a novel structured pruning approach, Structured Pruning with PCA Projection (SP3), targeting the effective reduction of d by projecting features into a space defined by principal components before masking. Extensive experiments on benchmarks (GLUE and SQuAD) show that SP3 can reduce d by 70%, compress 94% of the BERTbase model, and maintain over 96% accuracy and outperform other methods that compress d by 6% in accuracy at the same compression ratio. SP3 has also proven effective with other models, including OPT and Llama. Our data and code are available at ours repo. © 2023, CC BY.

关键词：

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：