Research on data extraction technology of physiological index based on BCG signal of human heart shock

2021 ◽  
Author(s):  
Yibing Song ◽  
Mengfang Zha ◽  
Qiang Wang ◽  
Fang Liu
Keyword(s):  
Human Heart ◽  
Data Extraction ◽  
Extraction Technology ◽  
Physiological Index

A Method of Web Information Automatic Extraction Based on XML

2010 ◽  
Vol 20-23 ◽  
pp. 178-183
Author(s):  
Jun Hua Gu ◽  
Jie Song ◽  
Na Zhang ◽  
Yan Liu Liu
Keyword(s):  
High Speed ◽  
Data Extraction ◽  
Rule Base ◽  
Accurate Information ◽  
Extraction Technology ◽  
Web Information ◽  
Xpath Expression ◽  
Data Translation ◽  
Using Data ◽  
The Web

With the increasingly high-speed of the internet as well as the increase in the amount of data it contains, users are finding it more and more difficult to gain useful information from the web. How to extract accurate information from the Web efficiently has become an urgent problem. Web information extraction technology has emerged to solve this kind of problem. The method of Web information auto-extraction based on XML is designed through standardizing the HTML document using data translation algorism, forming an extracting rule base by learning the XPath expression of samples, and using extraction rule base to realize auto-extraction of pages of same kind. The results show that this approach should lead to a higher recall ratio and precision ratio, and the result should have a self-description, making it convenient for founding data extraction system of each domain.

scholarly journals Web News Data Extraction Technology Based on Text Keywords

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Kun Zhang
Keyword(s):  
Data Extraction ◽  
Extraction Process ◽  
Network News ◽  
Good Effect ◽  
Keyword Extraction ◽  
Extraction Technology ◽  
Research Fields ◽  
Extraction Algorithm ◽  
Key Phrases ◽  
Web News

In order to shorten the time for users to query news on the Internet, this paper studies and designs a network news data extraction technology, which can obtain the main news information through the extraction of news text keywords. Firstly, the TF-IDF keyword extraction algorithm, TextRank keyword extraction algorithm, and LDA keyword extraction algorithm are analyzed to understand the keyword extraction process, and the TF-IDF algorithm is optimized by Zipf’s law. By introducing the idea of model fusion, five schemes based on waterfall fusion and parallel combination fusion are designed, and the effects of the five schemes are verified by experiments. It is found that the designed extraction technology has a good effect on network news data extraction. News keyword extraction has a great application prospect, which can provide the basis for the research fields of news key phrases, news abstracts, and so on.

scholarly journals Network Attack Characteristics of Automatic Data Extraction Technology

2013 ◽  
Vol 765-767 ◽  
pp. 1245-1248
Author(s):  
Pu Tian Yin ◽  
Rao Zheng Chan ◽  
Qin Zheng
Keyword(s):  
Feature Extraction ◽  
Data Extraction ◽  
Present Situation ◽  
Development Trend ◽  
Important Research ◽  
Security Technology ◽  
Extraction Technology ◽  
Automatic Data ◽  
Network Attack ◽  
Automatic Feature Extraction

attack automatic feature extraction technology is an important research of network security technology. From the network present situation research proceed with, to attack the automatic feature extraction technology for definition and classifycation, and for each category of technology are introduced in detail, and presents several attacks of automatic feature extraction technology, finally to present these technical deficiencies and the possible development trend are discussed.

scholarly journals Research on Grid Data Model Fusion Based on Big Data Extraction Technology

2020 ◽  
Vol 1616 ◽  
pp. 012005
Author(s):  
Zhao Ruifeng ◽  
Li Shiming ◽  
Liu Yang ◽  
Li Bo ◽  
Lu Jiangang
Keyword(s):  
Big Data ◽  
Data Model ◽  
Data Extraction ◽  
Grid Data ◽  
Extraction Technology ◽  
Model Fusion

Exit-surface wave reconstruction using a focal series

1992 ◽  
Vol 50 (2) ◽  
pp. 988-989
Author(s):  
W.J. de Ruijter ◽  
M.R. McCartney ◽  
David J. Smith ◽  
J.K. Weiss
Keyword(s):  
Surface Wave ◽  
Spherical Aberration ◽  
Data Extraction ◽  
High Sensitivity ◽  
Geometric Distortion ◽  
Variation Method ◽  
Objective Lens ◽  
Immediate Reconstruction ◽  
Exit Surface ◽  
Electron Microscopes

Further advances in resolution enhancement of transmission electron microscopes can be expected from digital processing of image data recorded with slow-scan CCD cameras. Image recording with these new cameras is essential because of their high sensitivity, extreme linearity and negligible geometric distortion. Furthermore, digital image acquisition allows for on-line processing which yields virtually immediate reconstruction results. At present, the most promising techniques for exit-surface wave reconstruction are electron holography and the recently proposed focal variation method. The latter method is based on image processing applied to a series of images recorded at equally spaced defocus.Exit-surface wave reconstruction using the focal variation method as proposed by Van Dyck and Op de Beeck proceeds in two stages. First, the complex image wave is retrieved by data extraction from a parabola situated in three-dimensional Fourier space. Then the objective lens spherical aberration, astigmatism and defocus are corrected by simply dividing the image wave by the wave aberration function calculated with the appropriate objective lens aberration coefficients which yields the exit-surface wave.

40 MicroRNAs in the human heart: a clue to fetal gene reprogramming in heart failure

2007 ◽  
Vol 6 (1) ◽  
pp. 3-3
Author(s):  
T THUM ◽  
P GALUPPO ◽  
S KNEITZ ◽  
C WOLF ◽  
L VANLAAKE ◽  
...  
Keyword(s):  
Heart Failure ◽  
Human Heart
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