Comparing Temporal Behavior of Phrases on Multiple Indexes with a Burst Word Detection Method

2009 ◽  
pp. 502-509 ◽  
Author(s):  
Hidenao Abe ◽  
Shusaku Tsumoto
Keyword(s):  
Detection Method ◽  
Temporal Behavior ◽  
Word Detection

scholarly journals Improved New Word Detection Method Used in Tourism Field

2017 ◽  
Vol 108 ◽  
pp. 1251-1260 ◽  
Author(s):  
Wei Li ◽  
Kun Guo ◽  
Yong Shi ◽  
Luyao Zhu ◽  
Yuanchun Zheng
Keyword(s):  
Detection Method ◽  
Word Detection

Video Copy Detection Based on Fusion of Spatio-Temporal Features

2013 ◽  
Vol 347-350 ◽  
pp. 3653-3661
Author(s):  
Wei Bao ◽  
Li Xin Ji ◽  
Shi Lin Gao ◽  
Xing Li ◽  
Li Xiong Liu
Keyword(s):  
Detection Method ◽  
Temporal Behavior ◽  
Bag Of Visual Words ◽  
Video Copy Detection ◽  
Copy Detection ◽  
Visual Words ◽  
Temporal Features ◽  
Surf Features ◽  
Spatio Temporal ◽  
Frequency Vectors

A video copy detection method based on fusion of spatio-temporal features is proposed in this paper. Firstly, trajectories are built and lens boundaries are detected by SURF features analyzing, then normalized histogram is used to describe spatio-temporal behavior of trajectories, the bag of visual words is constructed by trajectories behavior clustering, word frequency vectors and SURF features with behavior labels are extracted to express spatio-temporal content of lens, finally, duplicates are detected efficiently based on grade-match. The experimental results show the performance of this method is improved greatly compared with other similar methods.

Solid-phase immunoelectron microscopy for rapid diagnosis of enteroviruses

1984 ◽  
Vol 42 ◽  
pp. 226-227 ◽  
Author(s):  
K. Pegg-Feige ◽  
F. W. Doane
Keyword(s):  
Electron Microscopy ◽  
Cell Culture ◽  
Immunoelectron Microscopy ◽  
Detection Method ◽  
Solid Phase ◽  
Protein A ◽  
Plant Viruses ◽  
Rapid Diagnosis ◽  
Virus Diagnosis ◽  
Antiviral Antibody

Immunoelectron microscopy (IEM) applied to rapid virus diagnosis offers a more sensitive detection method than direct electron microscopy (DEM), and can also be used to serotype viruses. One of several IEM techniques is that introduced by Derrick in 1972, in which antiviral antibody is attached to the support film of an EM specimen grid. Originally developed for plant viruses, it has recently been applied to several animal viruses, especially rotaviruses. We have investigated the use of this solid phase IEM technique (SPIEM) in detecting and identifying enteroviruses (in the form of crude cell culture isolates), and have compared it with a modified “SPIEM-SPA” method in which grids are coated with protein A from Staphylococcus aureus prior to exposure to antiserum.

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

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