scholarly journals Tank 49H Solids Disturbance Analysis

2021 ◽  
Author(s):  
Michael Poirier
Keyword(s):  
Disturbance Analysis

Inner Disturbance Analysis of RW and CMG

2008 ◽  
Author(s):  
Shigemune Taniwaki ◽  
Masaki Takahashi ◽  
Katsuhiko Izawa
Keyword(s):  
Disturbance Analysis

scholarly journals Disturbance Analysis in the Classification of Objects Obtained from Urban LiDAR Point Clouds with Convolutional Neural Networks

2021 ◽  
Vol 13 (11) ◽  
pp. 2135
Author(s):  
Jesús Balado ◽  
Pedro Arias ◽  
Henrique Lorenzo ◽  
Adrián Meijide-Rodríguez
Keyword(s):  
Laser Scanning ◽  
Ambient Noise ◽  
Point Clouds ◽  
Density Variation ◽  
Density Reduction ◽  
Manual Intervention ◽  
Point Density ◽  
Disturbance Analysis ◽  
Street Furniture

Mobile Laser Scanning (MLS) systems have proven their usefulness in the rapid and accurate acquisition of the urban environment. From the generated point clouds, street furniture can be extracted and classified without manual intervention. However, this process of acquisition and classification is not error-free, caused mainly by disturbances. This paper analyses the effect of three disturbances (point density variation, ambient noise, and occlusions) on the classification of urban objects in point clouds. From point clouds acquired in real case studies, synthetic disturbances are generated and added. The point density reduction is generated by downsampling in a voxel-wise distribution. The ambient noise is generated as random points within the bounding box of the object, and the occlusion is generated by eliminating points contained in a sphere. Samples with disturbances are classified by a pre-trained Convolutional Neural Network (CNN). The results showed different behaviours for each disturbance: density reduction affected objects depending on the object shape and dimensions, ambient noise depending on the volume of the object, while occlusions depended on their size and location. Finally, the CNN was re-trained with a percentage of synthetic samples with disturbances. An improvement in the performance of 10–40% was reported except for occlusions with a radius larger than 1 m.

scholarly journals Sleep disturbance analysis between Parkinson disease and vascular parkinsonism: PDSS-2 and PSQI based study

2021 ◽  
Vol 4 ◽  
pp. 100219
Author(s):  
Yuthim Oktiany Ranteallo ◽  
Yudy Goysal ◽  
Muhammad Iqbal Basri ◽  
Andi Kurnia Bintang ◽  
Muhammad Akbar
Keyword(s):  
Parkinson Disease ◽  
Sleep Disturbance ◽  
Vascular Parkinsonism ◽  
Disturbance Analysis

Commissioning and Control of the AMB Supported 3.5 kW Laboratory Gas Blower Prototype

2013 ◽  
Vol 198 ◽  
pp. 451-456 ◽  
Author(s):  
Rafał P. Jastrzębski ◽  
Alexander Smirnov ◽  
Katja Hynynen ◽  
Janne Nerg ◽  
Jussi Sopanen ◽  
...  
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Induction Motor ◽  
Industrial Applications ◽  
Magnetic Bearing ◽  
Active Magnetic Bearing ◽  
Sensor Calibration ◽  
Full Potential ◽  
Disturbance Analysis ◽  
And Control

This paper presents the practical results of the design analysis, commissioning, identification, sensor calibration, and tuning of an active magnetic bearing (AMB) control system for a laboratory gas blower. The presented step-by-step procedures, including modeling and disturbance analysis for different design choices, are necessary to reach the full potential of the prototype in research and industrial applications. The key results include estimation of radial and axial disturbance forces caused by the permanent magnet (PM) rotor and a discussion on differences between the unbalance forces resulting from the PM motor and the induction motor in the AMB rotor system.

Interference Disturbance Analysis Enables Single-Cell Level Growth and Mobility Characterization for Rapid Antimicrobial Susceptibility Testing

Nano Letters ◽  
2018 ◽  
Vol 19 (2) ◽  
pp. 643-651 ◽  
Author(s):  
David Volbers ◽  
Valentin K. Stierle ◽  
Konstantin J. Ditzel ◽  
Julian Aschauer ◽  
Joachim O. Rädler ◽  
...  
Keyword(s):  
Single Cell ◽  
Antimicrobial Susceptibility ◽  
Susceptibility Testing ◽  
Antimicrobial Susceptibility Testing ◽  
Single Cell Level ◽  
Cell Level ◽  
Disturbance Analysis

Time-Frequency Analysis Method in the Transient Power Quality Disturbance Analysis Application

2014 ◽  
Vol 700 ◽  
pp. 99-102
Author(s):  
Meng Da Li ◽  
Yu Bo Duan ◽  
Yan Wang
Keyword(s):  
Power Quality ◽  
Signal Interference ◽  
Time Frequency ◽  
Quality Signal ◽  
Power Quality Disturbance ◽  
Analysis Application ◽  
Disturbance Analysis ◽  
Realistic Significance ◽  
Transient Power Quality

This paper uses the method of S transformation to test the starting time, the end of the time, frequency and amplitude characteristics of common transient power quality signal disturbance. Through error analysis and simulation show that this method can accurately determine the disturbance occurred time and duration, and the identification and determination of disturbance can be simple and intuitive. It has the practical value and realistic significance to power quality signal interference analysis.

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