检索结果-内蒙古大学图书馆

arXiv 2020年

作者： Hu, Liangchen Zhang, Wensheng School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing101408 China

With the dramatic increase of dimensions in the data representation, extracting latent low-dimensional features becomes of the utmost importance for efficient classification. Aiming at the problems of unclear margin representation and difficulty in revealing the data manifold structure in most of the existing linear discriminant methods, we propose a new discriminant feature extraction framework, namely Robust Locality-Aware Regression (RLAR). In our model, we introduce a retargeted regression to perform the marginal representation learning adaptively instead of using the general average inter-class margin. Besides, we formulate a new strategy for enhancing the local intra-class compactness of the data manifold, which can achieve the joint learning of locality-aware graph structure and desirable projection matrix. To alleviate the disturbance of outliers and prevent overfitting, we measure the regression term and locality-aware term together with the regularization term by the L2,1 norm. Further, forcing the row sparsity on the projection matrix through the L2,1 norm achieves the cooperation of feature selection and feature extraction. Then, we derive an effective iterative algorithm for solving the proposed model. The experimental results over a range of UCI data sets and other benchmark databases demonstrate that the proposed RLAR outperforms some state-of-the-art approaches. Copyright © 2020, The Authors. All rights reserved.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

Network Parameter Generation for One-Shot Object Detection

Network Parameter Generation for One-Shot Object Detection

引用

2019 IEEE International Conference on Unmanned Systems, ICUS 2019

作者： Wang, Kang Zhao, Jiajia Wang, Yang Zhou, Shuigeng Fudan University Shanghai Key Lab of Intelligent Information Processing School of Computer Science Shanghai200433 China Beijing Electro-Mechanical Engineer Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Nanchang University School of Information Engineering 330031 China

ISBN: (纸本)9781728137926

Recent object detection models have achieved satisfactory performance by deep learning with large-scale annotated datasets. However, these models often perform poorly when the training examples are not sufficient enough, especially for one-shot object detection where there is only one training example of each target class. In this paper, we propose a network parameter generation framework for effective one-shot object detection. By leveraging the semantic relationship between the source-domain and the target-domain (new classes), our framework can generate network parameters for the new classes directly. Furthermore, we develop two implementation schemes for this framework: weighting-based parameter generation and regression-based parameter generation. These two schemes use different information to construct the relationship and transfer knowledge from the source-domain to the target-domain. Experiments on the PASCAL-OSCD benchmark show that our methods can significantly boost the performance of one-shot object detection. © 2019 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

A molecular computing model using 3D Dumbbell DNA origami 2

A molecular computing model using 3D Dumbbell DNA origami

引用

2nd International Conference on Biological Information and Biomedical engineering, BIBE 2018

作者： Yang, Jing Chen, Kuiting Li, Xiang Zhang, Cheng School of Control and Computer Engineering North China Electric Power University Beijing China Institute of Software School of Electronics Engineering and Computer Science Peking University Beijing China

ISBN: (纸本)9783800747276

Recently, DNA assembly based nano-devices have been developed to accomplish certain functions such as molecular messages sensing, detecting and logic computing. It has been proved to be a novel hot topic on molecular biology. In this paper, we utilize DNA to construct a logical computing device using a dumbbell-shaped origami structure, where cocaine-detecting biosensor cooperating with fluorescence probe was also established. The important roles of dumbbell-shaped structure in the model are as follows: the core structure of the model and linking components to effectively im-prove the local concentration of the substrate. Notably, the increase of local concentration can greatly improve the effi-ciency of the reaction, thus shortening the reaction time of the logic gates and molecular sensors. Compared to the exist-ing logic computing models which mainly use oligonucleotides to realize calculating functions, the superiority of our design is that the DNA nicking enzymes are also introduced to perform computing functions. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： DNA

来源：评论

学校读者我要写书评

暂无评论

Wide-angle giant photonic spin Hall effect

arXiv

引用

arXiv 2022年

作者： Chen, Zhihao Chen, Yu Wu, Yaodong Zhou, Xinxing Sun, Handong Low, Tony Chen, Hongsheng Lin, Xiao Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control Ministry of Education Synergetic Innovation Center for Quantum Effects and Applications School of Physics and Electronics Hunan Normal University Changsha410081 China International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology Engineering Technology Research Center for 2D Material Information Function Devices and Systems of Guangdong Province Institute of Microscale Optoelectronics Shenzhen University Shenzhen518060 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China International Joint Innovation Center ZJU-UIUC Institute The Electromagnetics Academy at Zhejiang University Zhejiang University Haining314400 China

Photonic spin Hall effect is a manifestation of spin-orbit interaction of light and can be measured by a transverse shift δ of photons with opposite spins. The precise measurement of transverse shifts can enable many spin-related applications, such as precise metrology and optical sensing. However, this transverse shift is generally small (i.e. δ/λ -1, λ is the wavelength), which impedes its precise measurement. To-date proposals to generate giant spin Hall effect (namely with δ/λ > 102) have severe limitations, particularly its occurrence only over a narrow angular cone (with a width of ∆0 70◦ by exploiting the interface between free space and uniaxial epsilon-near-zero media. The underlying mechanism is ascribed to the almost-perfect polarization splitting between s and p polarized waves at the designed interface. Remarkably, this almost-perfect polarization splitting does not resort to the interference effect and is insensitive to the incident angle, which then gives rise to the wide-angle giant photonic spin Hall effect. Copyright © 2022, The Authors. All rights reserved.

关键词： Polarization

来源：评论

学校读者我要写书评

暂无评论

Towards additive manufacturing oriented geometric modeling using implicit functions

引用

Visual Computing for Industry,Biomedicine,and Art 2018年第1期1卷 95-110页

作者： Qingde Li Qingqi Hong Quan Qi Xinhui Ma Xie Han Jie Tian School of Engineering and Computer Science University of HullHull HU67RXUK Software School Xiamen UniversityXiamenChina School of Computer Science and Control Engineering North University of ChinaTaiyuanChina Intelligent Bioinformatics Systems Division Institute of AutomationThe Chinese Academy of SciencesBeijingChina

Surface-based geometric modeling has many advantages in terms of visualization and traditional subtractive manufacturing using computer-numerical-control cutting-machine ***,it is not an ideal solution for additive manufacturing because to digitally print a surface-represented geometric object using a certain additive manufacturing technology,the object has to be converted into a solid ***,converting a known surface-based geometric representation into a printable representation is essentially a redesign process,and this is especially the case,when its interior material structure needs to be *** specify a 3D geometric object that is ready to be digitally manufactured,its representation has to be in a certain volumetric *** this research,we show how some of the difficulties experienced in additive manufacturing can be easily solved by using implicitly represented geometric *** surface-based geometric representation is subtractive manufacturing-friendly,implicitly described geometric objects are additive manufacturing-friendly:implicit shapes are 3D printing *** implicit geometric representation allows to combine a geometric shape,material colors,an interior material structure,and other required attributes in one single description as a set of implicit functions,and no conversion is *** addition,as implicit objects are typically specified procedurally,very little data is used in their specifications,which makes them particularly useful for design and visualization with modern cloud-based mobile devices,which usually do not have very big storage ***,implicit modeling is a design procedure that is parallel computing-friendly,as the design of a complex geometric object can be divided into a set of simple shape-designing tasks,owing to the availability of shape-preserving implicit blending operations.

关键词： Additive manufacturing 3D printing-friendly CAD Implicit function Isosurface Level-set Function-based shape modeling Implicit modeling

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Dual-Hop Mixed FSO/mmWave Systems

Performance Analysis of Dual-Hop Mixed FSO/mmWave Systems

引用

IEEE International Conference on Communications Workshops, ICC

作者： Yan Zhang Jiayi Zhang Liang Yang Dinh-Thuan Do Bo Ai School of Electronic and Information Engineering Beijing Jiaotong University Beijing China College of Computer Science and Electronic Engineering Hunan University Changsha China Faculty of Electrical and Electronics Engineering Ton Duc Thang University Ho Chi Minh City Vietnam State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China

ISBN: (数字)9781728174402

ISBN: (纸本)9781728174419

The combination of free-space optical (FSO)-based backhaul links and millimeter wave (mmWave)-based access links is considered as a key enabling technique to provide enhanced mobile broadband in ultra dense networks. In this paper, the generalized end-to-end performance of a dual-hop mixed FSO/mmWave relaying system is evaluated. The FSO link is assumed to follow the Gamma-Gamma fading with pointing error impairments, while the mmWave link experiences the fluctuating two-ray fading. Both heterodyne detection and indirect modulation/direct detection are accounted for in the FSO link. Using both amplify-and-forward and decode-and-forward relaying schemes, novel closed-form expressions for the outage probability and average bit error probability (BER) are derived in terms of bivariate Fox's H-functions. Furthermore, an asymptotic analysis for the outage probability and the average BER is provided to show the diversity order and other important engineering insights. Finally, the accuracy of our derived results is validated through Monte-Carlo simulations.

关键词： Radio frequency Fading channels Signal to noise ratio Relays Optical transmitters Power system reliability Probability

来源：评论

学校读者我要写书评

暂无评论

Short-term Wind Power Prediction Method Based on Wavelet Packet Decomposition and Improved GRU 1

Short-term Wind Power Prediction Method Based on Wavelet Pac...

引用

1st International Conference on Advanced Algorithms and control engineering, ICAACE 2018

作者： Zu, X.R. Song, R.X. School of Control and Computer Engineering North China Electric Power University Beijing102206 China

Accurately predicting wind power in wind farms is of great significance to ensure the safe and stable operation of the power system. A novel short-term wind power forecasting method (WPD-GRU-SELU) based on wavelet packet decomposition (WPD) and improved gated recurrent unit (GRU) is proposed. Firstly, this method uses WPD to decompose the time series of wind power into several sub-sequences with different frequencies. Then the sub-sequences of different frequency components are predicted by using the improved GRU neural network, which uses the scaled exponential linear units(SELU) as the activation function to squash the hidden states to calculate the output. Finally, the output datum of GRU neural networks are reconstructed to obtain the complete wind power predicting results. Experiments illustrate that the WPD-GRU-SELU model have a more accurate forecast to the short-term wind power prediction compared with other RNN models. © Published under licence by IOP Publishing Ltd.

关键词： Wavelet decomposition

来源：评论

学校读者我要写书评

暂无评论

Temperature prediction of combustion layers for 660MW ultra supercritical unit through the VIP-SR

Temperature prediction of combustion layers for 660MW ultra ...

引用

2018 IEEE International Conference on Information and Automation, ICIA 2018

作者： Li, Xinli Zhu, Yun Yang, Guotian Liu, He School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9781538680698

The temperature of furnace is the key to the safety of boiler and energy conservation. In this paper, the prediction modeling of temperature of different combustion layers (bottom, middle and upper) are proposed based on the variable importance in the projection(VIP) of partial least square (PLS) combined with stepwise regression (SR) for the 660MW ultra supercritical unit. The temperature of different combustion layers are measured through the infrared temperature measurement devices. The variables are selected by using the variable importance in the projection, which are important factors of affecting the temperature. Combined with stepwise regression method, the temperature prediction models of three layers are established in the low load operation of boiler. At the same time, temperature modeling using support vector machines (SVM) is compared with VIP-SR method. According to the operation data of power plant, the simulation results have shown the effectiveness of the proposed method. © 2018 IEEE.

关键词： Combustion

来源：评论

学校读者我要写书评

暂无评论

Data-Driven Modeling & Analysis of Dynamic Wake for Wind Farm control: A Comparison Study

Data-Driven Modeling & Analysis of Dynamic Wake for Wind Far...

引用

Chinese Automation Congress (CAC)

作者： Zhenyu Chen Bart M Doekemeijer Zhongwei Lin Zhen Xie Zongming Si Jizhen Liu Jan-Willem van Wingerden State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control Computer and Engineering North China Electric Power University Beijing China Delft Center for Systems and Control (DCSC) Faculty of Mechanical Maritime and Materials Engineering (3mE) Delft University of Technology The Netherlands CHN ENERGY (Shandong) New Energy Co. Ltd Jinan PR China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

For the study of wind farm and wake effect, the steady-state wake models like FLORIS were proposed and used during wind farm operations to achieve higher wind power utilization and conversion. However, the dynamic performance of the wake should also be involved in favor of better optimizations. In this paper, a data-driven analysis and modeling method, dynamic mode decomposition (DMD), is used to construct dynamic flow model with high-fidelity flow data. Two DMD-derived models are constructed based on flow data in three-dimensional and two-dimensional spaces, respectively. The obtained models and respective flows are compared in the time and frequency domain. Results show that both models have apparent differences in the frequency domain, but the dominant wake characteristics' consistency is maintained.

关键词： Wind turbines Wind farms Analytical models Mathematical model Computational modeling Solid modeling Wind speed

来源：评论

学校读者我要写书评

暂无评论

A Data Fusion Algorithm and Simulation Based on TQMM 11th

A Data Fusion Algorithm and Simulation Based on TQMM

引用

11th EAI International Conference on Simulation Tools and Techniques, SIMUTools 2019

作者： Zhang, Ke Wang, Zeyang Li, Huiling School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Science and Technology on Electronic Information Control Laboratory Chengdu610000 China Sichuan Jiuzhou Electronic Technology Co. Ltd. Mianyang621000 China School of Communication and Information Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9783030322151

Asynchronous data fusion is more practical than synchronous data fusion, the model of track-to-track fusion in this case has been established and the concept of Track Quality with Multiple Model (TQMM) was put forward, furthermore a data fusion algorithm is proposed, in which the TQMM is used to assign weights, to improve tracking precision in asynchronous multi-sensor data fusion system. The simulation results show that the algorithm has a better tracking performance compared with original algorithms. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2019.

关键词： Sensor data fusion

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：