A Software Version for Getting Frequency Shifts on Infant Cry Pitch

2015 ◽  
pp. 611-614
Author(s):  
R. Gámez de la Rosa ◽  
D. I. Escobedo Beceiro ◽  
F. Sanabria Macias
Keyword(s):  
Frequency Shifts ◽  
Infant Cry

Axial-power-shape induced frequency shifts in BWR stability measurements

Kerntechnik ◽  
2010 ◽  
Vol 75 (4) ◽  
pp. 158-163
Author(s):  
H. Nylén
Keyword(s):  
Frequency Shifts ◽  
Stability Measurements

scholarly journals Patch antenna sensor for wireless ice and frost detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ryan Kozak ◽  
Kasra Khorsand ◽  
Telnaz Zarifi ◽  
Kevin Golovin ◽  
Mohammad H. Zarifi
Keyword(s):  
Resonant Frequency ◽  
Patch Antenna ◽  
Wide Band ◽  
Power Lines ◽  
Ice Thickness ◽  
Ice Accretion ◽  
Robust Method ◽  
Frequency Shifts ◽  
Resonant Amplitude ◽  
Recorded Data

AbstractA patch antenna sensor with T-shaped slots operating at 2.378 GHz was developed and investigated for wireless ice and frost detection applications. Detection was performed by monitoring the resonant amplitude and resonant frequency of the transmission coefficient between the antenna sensor and a wide band receiver. This sensor was capable of distinguishing between frost, ice, and water with total shifts in resonant frequency of 32 MHz and 36 MHz in the presence of frost and ice, respectively, when compared to the bare sensor. Additionally, the antenna was sensitive to both ice thickness and the surface area covered in ice displaying resonant frequency shifts of 2 MHz and 8 MHz respectively between 80 and 160 μL of ice. By fitting an exponential function to the recorded data, the freezing rate was also extracted. The analysis within this work distinguishes the antenna sensor as a highly accurate and robust method for wireless ice accretion detection and monitoring. This technology has applications in a variety of industries including the energy sector for detection of ice on wind turbines and power lines.

scholarly journals A review of infant cry analysis and classification

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Chunyan Ji ◽  
Thosini Bamunu Mudiyanselage ◽  
Yutong Gao ◽  
Yi Pan
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Signal Analysis ◽  
Future Research ◽  
Prosodic Features ◽  
Infant Cry ◽  
Machine Learning Classification ◽  
Machine Learning Classifiers ◽  
Learning Classifiers ◽  
Processing Techniques

AbstractThis paper reviews recent research works in infant cry signal analysis and classification tasks. A broad range of literatures are reviewed mainly from the aspects of data acquisition, cross domain signal processing techniques, and machine learning classification methods. We introduce pre-processing approaches and describe a diversity of features such as MFCC, spectrogram, and fundamental frequency, etc. Both acoustic features and prosodic features extracted from different domains can discriminate frame-based signals from one another and can be used to train machine learning classifiers. Together with traditional machine learning classifiers such as KNN, SVM, and GMM, newly developed neural network architectures such as CNN and RNN are applied in infant cry research. We present some significant experimental results on pathological cry identification, cry reason classification, and cry sound detection with some typical databases. This survey systematically studies the previous research in all relevant areas of infant cry and provides an insight on the current cutting-edge works in infant cry signal analysis and classification. We also propose future research directions in data processing, feature extraction, and neural network classification fields to better understand, interpret, and process infant cry signals.

scholarly journals Off-the-grid recovery of time and frequency shifts with multiple measurement vectors

2021 ◽  
Vol 183 ◽  
pp. 108016
Author(s):  
Maral Safari ◽  
Sajad Daei ◽  
Farzan Haddadi
Keyword(s):  
Frequency Shifts ◽  
Multiple Measurement ◽  
Multiple Measurement Vectors

Infant Cry Classification Using Semi-supervised K-Nearest Neighbor Approach

2020 ◽  
Author(s):  
Amany Mounes Mahmoud ◽  
Sarah Mohamed Swilem ◽  
Abrar Saeed Alqarni ◽  
Fazilah Haron
Keyword(s):  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Infant Cry

scholarly journals Behavior, size, and body condition predict susceptibility to management and reflect post-treatment frequency shifts in an invasive snake

2020 ◽  
Vol 21 ◽  
pp. e00834
Author(s):  
Melia G. Nafus ◽  
Amy A. Yackel Adams ◽  
Scott M. Boback ◽  
Shane R. Siers ◽  
Robert N. Reed
Keyword(s):  
Body Condition ◽  
Post Treatment ◽  
Frequency Shifts ◽  
Treatment Frequency
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