Discrimination Between Damaging and Non-Damaging Impact Events on Composite Structure using SHM Sensor Signal Analysis

2011 ◽  
Author(s):  
Ryan John ◽  
Ian Read ◽  
Jim McFeat
Keyword(s):  
Composite Structure ◽  
Signal Analysis ◽  
Sensor Signal ◽  
Impact Events

scholarly journals Sensor, Signal and Image Informatics

2006 ◽  
Vol 15 (01) ◽  
pp. 57-67 ◽  
Author(s):  
T. Aach ◽  
H. Witte ◽  
T.M. Lehmann
Keyword(s):  
Data Acquisition ◽  
Signal Analysis ◽  
Emission Computed Tomography ◽  
Biomedical Data ◽  
Data Handling ◽  
Sensor Signal ◽  
Biomedical Signal ◽  
Time Frequency ◽  
Image Informatics ◽  
Recent Trends

SummaryThe number of articles published annually in the fields of biomedical signal and image acquisition and processing is increasing. Based on selected examples, this survey aims at comprehensively demonstrating the recent trends and developments.Four articles are selected for biomedical data acquisition covering topics such as dose saving in CT, C-arm X-ray imaging systems for volume imaging, and the replacement of dose-intensive CTbased diagnostic with harmonic ultrasound imaging. Regarding biomedical signal analysis (BSA), the four selected articles discuss the equivalence of different time-frequency approaches for signal analysis, an application to Cochlea implants, where time-frequency analysis is applied for controlling the replacement system, recent trends for fusion of different modalities, and the role of BSA as part of a brain machine interfaces. To cover the broad spectrum of publications in the field of biomedical image processing, six papers are focused. Important topics are content-based image retrieval in medical applications, automatic classification of tongue photographs from traditional Chinese medicine, brain perfusion analysis in single photon emission computed tomography (SPECT), model-based visualization of vascular trees, and virtual surgery, where enhanced visualization and haptic feedback techniques are combined with a sphere-filled model of the organ.The selected papers emphasize the five fields forming the chain of biomedical data processing: (1) data acquisition, (2) data reconstruction and pre-processing, (3) data handling, (4) data analysis, and (5) data visualization. Fields 1 and 2 form the sensor informatics, while fields 2 to 5 form signal or image informatics with respect to the nature of the data considered.Biomedical data acquisition and pre-processing, as well as data handling, analysis and visualization aims at providing reliable tools for decision support that improve the quality of health care. Comprehensive evaluation of the processing methods and their reliable integration in routine applications are future challenges in the field of sensor, signal and image informatics.

Magnetic sensor signal analysis

2002 ◽  
Vol 15 (1-4) ◽  
pp. 349-352 ◽  
Author(s):  
Yukiyasu Shigeta ◽  
Seiji Hayano ◽  
Yoshifuru Saito
Keyword(s):  
Signal Analysis ◽  
Magnetic Sensor ◽  
Sensor Signal

Detection and measurement of aroma compounds with the electronic nose and a novel method for MOS sensor signal analysis during the wheat bread making process

2021 ◽  
Vol 127 ◽  
pp. 90-98 ◽  
Author(s):  
Marek Gancarz ◽  
Urszula Malaga-Toboła ◽  
Anna Oniszczuk ◽  
Sylwester Tabor ◽  
Tomasz Oniszczuk ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Signal Analysis ◽  
Aroma Compounds ◽  
Wheat Bread ◽  
Sensor Signal ◽  
Bread Making ◽  
Novel Method ◽  
Mos Sensor

scholarly journals Analysis of Whistlers Registration Data Obtained by Ssan System on Subauroral Station in Yakutsk

2018 ◽  
Vol 62 ◽  
pp. 02004
Author(s):  
Rustam Karimov ◽  
Vladimir Mochalov ◽  
Anastasia Mochalova ◽  
Lena Tarabukina ◽  
Vyacheslav Argunov ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Signal Analysis ◽  
Low Frequency ◽  
Operational Mode ◽  
Sensor Signal ◽  
Opposite Hemisphere ◽  
Very Low Frequency ◽  
Registration Data ◽  
Geophysical Processes ◽  
Magnetosphere Plasma

Since from November 2017 to August 2018, synchronous registration of atmospherics and whistlers at the radiophysical station “Oibenkyol”, began in the operational mode within the network SSAN/VLF (“Sensor signal analysis network/Very low frequency”). The classification and the characteristics of the registered whistlers are carried out. The correlation analysis of the number of the whistlers registered by the SSAN/VLF with the number of lightning registered by the WWLLN is used to determine the location of lightning sources of whistlers in the opposite hemisphere in the magnetoconjugate point at South of Australia. Thus, the SSAN/VLF make possible the distance monitoring of the dynamics of the various geophysical processes changes. The large number of registered nose whistlers allow performing the statistical analysis of processes occurring in the magnetosphere’ plasma.

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