A robust and accurate breakpoint detection method for line-structured laser scanner

2019 ◽  
Vol 118 ◽  
pp. 52-61 ◽  
Author(s):  
Xiao-Qia Yin ◽  
Wei Tao ◽  
Yu Feng ◽  
Hong-Wei Yang ◽  
Qiao-Zhi He ◽  
...  
Keyword(s):  
Detection Method ◽  
Laser Scanner ◽  
Breakpoint Detection

scholarly journals Research on breakpoint area detection of computer communication network transmission data based on cloud framework

2021 ◽  
Vol 2083 (4) ◽  
pp. 042045
Author(s):  
Shichuang Zheng ◽  
Jiajun Li ◽  
Shuai Chen ◽  
Yujia Liang ◽  
Jiangtao Lin
Keyword(s):  
Communication Network ◽  
Detection Method ◽  
Distribution Characteristics ◽  
Time Saving ◽  
Computer Communication ◽  
Transmission Data ◽  
Cloud Framework ◽  
Breakpoint Detection ◽  
Network Transmission ◽  
Computer Communication Network

Abstract Traditional detection method of data breakpoint in computer communication network has some disadvantages, such as time consuming, etc. Firstly, the data of computer transmission breakpoints are stored based on cloud framework, and the density distribution characteristics of the region are extracted according to the breakpoint data. Then the optimal data breakpoint detection path is selected. Finally, the similarity of each data breakpoint is detected by the computer, so that the detection of data breakpoints is realized by computer. After experiments, the data breakpoint detection is realized, the results show that the designed method can detect data breakpoints accurately, which is time-saving and has a certain significance of popularization.

scholarly journals Laser Scanner Calibration Dependency On the Line Detection Method

2015 ◽  
Vol 21 (6) ◽  
Author(s):  
Ago Molder ◽  
Olev Martens ◽  
Tonis Saar ◽  
Raul Land
Keyword(s):  
Detection Method ◽  
Laser Scanner ◽  
Line Detection ◽  
Scanner Calibration

A Person Detection Method Using 3D Laser Scanner – Proposal of Efficient Grouping Method of Point Cloud Data –

2015 ◽  
Vol 27 (4) ◽  
pp. 374-381 ◽  
Author(s):  
Kento Hosaka ◽  
◽  
Tetsuo Tomizawa
Keyword(s):  
Point Cloud ◽  
Detection Method ◽  
Laser Scanner ◽  
Experimental Results ◽  
Point Cloud Data ◽  
Shape Features ◽  
Person Detection ◽  
Cloud Data ◽  
Grouping Method ◽  
Individual Objects

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/07.jpg"" width=""300"" /> Our proposed method</div> The purpose of this study is to develop a system for detecting target persons using a 3D laser scanner. The system consists of two parts -- one for grouping and one for determining targets. The grouping part effectively segments individual objects by using two-step grouping. The target part determines target persons for grouping results using shape features. Experimental results showed that our proposed system detects targets as well as existing methods do and that our proposed method performs more quickly than existing methods do. </span>

scholarly journals Terrestrial Laser Scanning (TLS) as a detection method of the natural river valley microtopography – case study of the Upper Biebrza

2014 ◽  
Vol 46 (4) ◽  
pp. 276-278 ◽  
Author(s):  
Marcin Brach ◽  
Jarosław Chormański
Keyword(s):  
Laser Scanning ◽  
Detection Method ◽  
Laser Scanner ◽  
Digital Terrain Model ◽  
Terrestrial Laser Scanning ◽  
River Valley ◽  
Gis Analysis ◽  
Terrain Model ◽  
Digital Terrain

Abstract Terrestrial Laser Scanning (TLS) as a detection method of the natural river valley microtopography - case study of the Upper Biebrza. This paper concerns the use of Terrestrial Laser Scanning (TLS) methods and the Geographic Information Systems (GIS) analysis to determine microtopography of a natural river valley, case study of the upper Biebrza valley. The scientific problem analyzed in this paper is a morphology of the selected segments of the valley covered by sedge ecosystems which in natural stage form a characteristic tussocks from their root systems. In order to capture the microtopography it was necessary to remove vegetation from the selected areas, and then, for a five typical location, registration of its structure using the laser scanner. As a result the point cloud was generated for each of the selected area and after GIS analysis the microtopography was obtained in form of digital terrain model (DTM). The DTM of each area represents valleys microstructure possible to obtain by use of TLS (TLS DTM), is usually not registered by the Airborne Laser Scanning (ALS), and is the main reason of inaccuracy of the DTM obtained based on ALS. The resulting TLS DTM has been processed by various filtering methods to lower the noise and fill the voids from blocking the laser beam by a tussocks. Finally, this allowed to determine the spatial structure of each measurement field.

scholarly journals Laser Scanner Calibration Dependency On the Line Detection Method

2015 ◽  
Vol 21 (6) ◽  
Author(s):  
Ago Molder ◽  
Olev Martens ◽  
Tonis Saar ◽  
Raul Land
Keyword(s):  
Detection Method ◽  
Laser Scanner ◽  
Line Detection ◽  
Scanner Calibration

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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