检索结果-内蒙古大学图书馆

作者： Shuang Hu Li Huang Feng Bai Jun Zhang School of Computer Science and Technology Wuhan University of Science and Technology Intelligent Information Processing and Real-time Industrial System Hubei Key Laboratory Institute

At present, machine learning is quite popular, and tensorflow framework is also very popular. This system takes the plan management system as the practice platform, realizes the data analysis function through the machine learning understanding and the key point. Most of the current market are planning management system, but there is no self-analysis ability, need to base on data, there are limitations. Firstly, the system collects training data such as weight, body fat rate and so on, then builds a deep learning neural network, and finally runs the model to realize plan analysis, so as to help users analyze the feasibility of the plan and provide suggestions for users, and the analysis results will be displayed through processing.

关键词： Tensorflow Data Analysis and Planning Analysis Management System Based on Tensorflow Machine Learning Algorithms

来源：评论

学校读者我要写书评

暂无评论

realization of fixed-point SAR imaging based on embedded GPU

Realization of fixed-point SAR imaging based on embedded GPU

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： HuiXing Li ZiXin Gao BingYi Li Yi Zhuang Xie Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Institute of Radio Measurement Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Aiming at the problem of insufficient memory in the real-time processing of SAR imaging on embedded TX2, this paper studies a design optimization scheme of fixed-point imaging algorithm on TX2. In order to ensure the accuracy, this paper only performs fixed-point processing on the FFT. According to the characteristics of the algorithm, the memory multiplexing method is adopted to effectively reduce the occupation of the work area buffer. A large number of registers are used to improve computing performance. The results show that the fixed-point FFT processing scheme can achieve a hundred times faster than the Intel Xeon CPU, and the memory footprint is less.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Complex Network Community Detection by Improved Nondominated Sorting Genetic Algorithm

Complex Network Community Detection by Improved Nondominated...

引用

作者： Wen-jun LIU Bin CHEN School of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

Aimed at the problems of low solution precision and easy to be trapped into local optima by single objective evolutionary algorithm, a self-adaptive multi-objective optimization algorithm based on nondominated sorting genetic algorithm II(NSGA2) and Label Propagation Algorithm(LPA) is proposed. The algorithm takes Kernel K-means(KKM) and Ratio Cut(RC) as the objective functions. Two new crossover operator and the improved mutation operator is used to achieve the evolution of the population. We conducted simulation experiments in the computer-generated networks and the real-world networks environment. The results show that compared with other community detection algorithms, our algorithm has the advantages of high resolution and strong search ability, and it can effectively identify the community structure in complex networks.

关键词： Complex networks Community detection NSGA2 LPA Modularity

来源：评论

学校读者我要写书评

暂无评论

An improved RUDP for data transmission in embedded real-time system

An improved RUDP for data transmission in embedded real-time...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Yingying Chen Shanqing HU Xingming LI Ce Wang Zhe Chen Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of technology Beijing China Beijing Racobit Electronic Information Technology Co. Ltd Beijing China Academy of Broadcasting Science Internet Technology Institute Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

At present, the Ethernet has been widely used for data transmission in embedded real-time systems, including TCP (Transmission Control Protocol) and UDP (User Datagram Protocol). However, as embedded real-time systems continue to increase the requirements of transmission speed and reliability, TCP and UDP have not been able to meet the requirements. TCP is a stream-based, connection-oriented communication protocol, so the reliability of TCP is good. But its design is complicated, it occupies a lot of system resources, and the transmission speed of TCP is low. In contrast, UDP is non-connection-oriented protocol, so it is unreliable communication protocol. Both of them limit the Ethernet applying in embedded real-time systems. In order to meet the requirements of real-time, reliability and algorithm simplicity of embedded systems, this paper proposed an improved Reliable User Datagram Protocol (RUDP), which offers a solution to satisfy these requirements. It is valid on the real demonstration that the proposed method can offer a higher speed than TCP without package loss.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A modified imaging interval selection method based on joint time-frequency analysis for ship ISAR imaging 12

A modified imaging interval selection method based on joint ...

引用

12th European Conference on Synthetic Aperture Radar, EUSAR 2018

作者： Li, Gen Zhang, Tianyi Li, Yong Ding, Zegang Ke, Meng Radar Research Lab School of Information and Electronics Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab School of Information and Electronics Beijing Institute of Technology China

ISBN: (纸本)9783800746361

Selecting proper imaging intervals where the ship rotation vector is constant is a very simple method to obtain high-quality ship inverse synthetic aperture radar (ISAR) images. However, existing imaging interval selection methods are usually based on traversal or iteration, which means that they are time-consuming and complex. Thus, to realize imaging interval selection simply and effectively, a modified imaging interval selection method based on joint time-frequency analysis (JTFA) is proposed in paper. Compared with the traditional range-Doppler algorithm (RDA), the proposed method just has one added step of JTFA. real data processing results validate the effectiveness and superiority of the proposed method. © VDE VERLAG GMBH Â Berlin Â Offenbach.

关键词： Ships

来源：评论

学校读者我要写书评

暂无评论

The Verification System of Sliding Spotlight Mode SAR Imaging based on SoPC

The Verification System of Sliding Spotlight Mode SAR Imagin...

引用

Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Shankang Hu Yizhuang Xie Jie Lian Bingyi Li Beijing Institute of Remote Sensing Equipmentt BeiJing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China Beijing Institute of Radio Metrology and Measurement Beijing China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Aiming at the application background of sliding spotlight mode Synthetic Aperture Radar (SAR) imaging processing, this paper builds a System-on-a-Programmable-Chip-based (SoPC-based) sliding spotlight mode SAR imaging verification system, which uses software and hardware collaborative design method to complete algorithm-to-hardware mapping and can quickly and truly perform in FPGA or ASIC. Finally, we analyzed the implementation of the imaging prototype system and the imaging results. For the generation of correlation factors, this paper hierarchically decomposes the factor generation operation to realize the time division multiplexing of the operation unit, in order to reduce resource consumption. At the same time, a variable point Fast Fourier Transformation (FFT) processor based on a variable radix-2 3 multiplexing butterfly unit is designed and implemented. Combining these two parts with other modules enables the entire sliding spotlight mode imaging process. On the basis of keeping the error of the result small, the overall resource consumption is greatly reduced. The 1024~32768 point FFT is implemented by the top-level configurable method, and the operation delay is reduced by more than 20% compared with the Xilinx FFT IP core. The final imaging time is reduced to seconds, and the imaging results meet the requirements. Subsequent compatibility design for other SAR imaging modes also can be achieved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Partial Discharge Pattern Recognition Based on Synchrosqueezing Wavelet Transform and Multi-Scale Characteristic Parameters

Partial Discharge Pattern Recognition Based on Synchrosqueez...

引用

作者： Quan GU Wen-bo WANG Qi DI Long QIAN Min YU Yun-yu JIN School of Science Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Key Laboratory of Digital Mapping and Land Information Application Engineering

Aiming at the high dimension of the characteristic of partial discharge and its high sensitivity to noise, firstly, the Synchrosqueezing wavelet transform is used to decompose the four typical partial discharge signals of transformers to overcome the defects of spectrum aliasing and energy leakage between real wavelet packet decomposition sub-bands.;Then, using the difference of energy and complexity of PD signals at different decomposition scales, the parameters of multi-scale energy and multi-scale energy spectrum entropy are used as the feature quantity of discharge type identification;Finally, the extracted features support vector machine classifier for discharge pattern recognition. Experimental results show, the proposed method can achieve better recognition than EMD and wavelet packet decomposition, and proves the effectiveness of the proposed method.

关键词： Synchronous squeezing wavelet transformer Partial discharge Multi-scale energy multi-scale sample entropy

来源：评论

学校读者我要写书评

暂无评论

Application of Image processing technology in Building Surface Crack Detection 6

Application of Image Processing Technology in Building Surfa...

引用

2019 6th International Conference on Advanced Composite Materials and Manufacturing Engineering, ACMME 2019

作者： Xiong, Xin Huang, Li Tian, Jinrong Infrastructure and Logistics Management Wuhan University of Science and Technology Wuhan Hubei430081 China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan Hubei430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan Hubei430081 China Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan University of Science and Technology Wuhan Hubei430081 China

The phenomenon of cracks on the surface of buildings is widespread. The existence of cracks affects the normal use of buildings, shortening the service life, seriously damaging the structure of buildings, resulting in safety accidents. Therefore, regular detection and reinforcement of cracks on the surface of buildings is a necessary link to ensure safety. At present, the detection of building surface cracks is mainly carried out by manpower with means of equipment assisted. However, there are some problems in manpower detection, such as high manpower consumption, low *** paper presents a method of detecting and inspecting cracks on building surface based on image processing technology in machine vision, which includes image gray transformation, image denoising etc. Curve fitting and least square method are used to obtain crack parameters, so as to improve the inspecting efficiency and realize the automation of building surface inspection. © Published under licence by IOP Publishing Ltd.

关键词： Curve fitting

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis of SOFC Stack Based on Neural Network Algorithm

引用

Energy Procedia 2019年 158卷 1798-1803页

作者： Tao Xue Xiaolong Wu Yuanwu Xu Suwen Jing Zehua Li Jianhua Jiang Zhonghua Deng Xiaowei Fu Li Xi School of Automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology Wuhan 430074 China College of Computer Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan 430065 China

To realize the commercialization of SOFC, it must be ensured that it can work efficiently and stably. SOFC fault diagnosis becomes an essential part of the research. Due to the strong coupling of faults in the stack, this paper uses neural network algorithm to detect and diagnose faults. The simulation results verify that through the diagnosis of the test sample, the recognition rate of the test sample by the network is found to be 95%, which explains the neural network fault diagnosis model established in this paper on identifying the normal working state of the stack, the electrode stacking of the stack, and the gas leakage fault of the stack has good effectiveness and accuracy.

关键词： SOFC fault diagnosis neural network

来源：评论

学校读者我要写书评

暂无评论

Multi-dimensional spectral super-resolution with prior knowledge via frequency-selective Vandermonde decomposition and ADMM

arXiv

引用

arXiv 2019年

作者： Li, Yinchuan Wang, Xiaodong Ding, Zegang School of Information and Electronics Beijing Institute of Technology Beijing100081 China Electrical Engineering Department Columbia University New YorkNY10027 United States Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing100081 China

This paper is concerned with estimation of multiple frequencies from incomplete and/or noisy samples based on a low-CP-rank tensor data model where each CP vector is an array response vector of one frequency. Suppose that it is known a priori that the frequencies lie in some given intervals, we develop efficient super-resolution estimators by exploiting such prior knowledge based on frequency-selective (FS) atomic norm minimization. We study the MD Vandermonde decomposition of block Toeplitz matrices in which the frequencies are restricted to lie in given intervals. We then propose to solve the FS atomic norm minimization problems for the low-rank spectral tensor recovery by converting them into semidefinite programs based on the MD Vandermonde decomposition. We also develop fast solvers for solving these semidefinite programs via the alternating direction method of multipliers (ADMM), where each iteration involves a number of refinement steps to utilize the prior knowledge. Extensive simulation results are presented to illustrate the high performance of the proposed methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Optical resolving power

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：