On the activity detection with incomplete acceleration data using iterative KNN classifier

2016 ◽  
Author(s):  
Gamze Uslu ◽  
Sebnem Baydere
Keyword(s):  
Activity Detection ◽  
Knn Classifier ◽  
Acceleration Data

Signal Activity Detection of Offset-QPSK in Colored Gaussian Noise

2011 ◽  
Vol E94-A (11) ◽  
pp. 2226-2229
Author(s):  
Sayed Jalal ZAHABI ◽  
Mohammadali KHOSRAVIFARD ◽  
Ali A. TADAION ◽  
T. Aaron GULLIVER
Keyword(s):  
Gaussian Noise ◽  
Activity Detection ◽  
Signal Activity ◽  
Colored Gaussian Noise

Novel method for low level Sr-90 activity detection in seawater by combining oxalate precipitation and chelating resin extraction

2017 ◽  
Vol 51 (2) ◽  
pp. 193-197 ◽  
Author(s):  
Hirofumi Tazoe ◽  
Hajime Obata ◽  
Masatoshi Tomita ◽  
Shinya Namura ◽  
Jun Nishioka ◽  
...  
Keyword(s):  
Chelating Resin ◽  
Activity Detection ◽  
Low Level ◽  
Oxalate Precipitation ◽  
Novel Method

Distribution of Speed and Acceleration on a Tread Wear Course

1981 ◽  
Vol 9 (1) ◽  
pp. 19-25 ◽  
Author(s):  
G. S. Ludwig ◽  
F. C. Brenner
Keyword(s):  
Traffic Safety ◽  
Highway Traffic ◽  
National Highway Traffic Safety ◽  
Level Crossings ◽  
Acceleration Level ◽  
Longitudinal Acceleration ◽  
Acceleration Data ◽  
National Highway

Abstract Belted bias and radial Course Monitoring Tires were run over the National Highway Traffic Safety Administration tread wear course at San Angelo on a vehicle instrumented to measure lateral and longitudinal accelerations, speed, and number of wheel rotations. The data were recorded as histograms. The distribution of speed, the distributions of lateral and longitudinal acceleration, and the number of acceleration level crossings are given. Acceleration data for segments of the course are also given.

Deep Learning Techniques for Koala Activity Detection

2018 ◽  
Author(s):  
Ivan Himawan ◽  
Michael Towsey ◽  
Bradley Law ◽  
Paul Roe
Keyword(s):  
Deep Learning ◽  
Activity Detection ◽  
Learning Techniques

Speaker Activity Detection and Minimum Variance Beamforming for Source Separation

2018 ◽  
Author(s):  
Enea Ceolini ◽  
Jithendar Anumula ◽  
Adrian Huber ◽  
Ilya Kiselev ◽  
Shih-Chii Liu
Keyword(s):  
Source Separation ◽  
Minimum Variance ◽  
Activity Detection
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