Absolute Measurement of Signal Strength on Magnetic Recordings: Phase II

1957 ◽  
Vol 66 (3) ◽  
pp. 119-122 ◽  
Author(s):  
Robert Schwartz
2013 ◽  
Vol 117 (29) ◽  
pp. 6332-6345 ◽  
Author(s):  
Byungmoon Cho ◽  
Vivek Tiwari ◽  
Robert J. Hill ◽  
William K. Peters ◽  
Trevor L. Courtney ◽  
...  

1955 ◽  
Vol 64 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Robert Schwartz ◽  
Sheldon I. Wilpon ◽  
Frank A. Comerci

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 269 ◽  
Author(s):  
Nasir Abbas ◽  
Mu’azu Ramat Abujiya ◽  
Muhammad Riaz ◽  
Tahir Mahmood

Cumulative sum control charts that are based on the estimated control limits are extensively used in practice. Such control limits are often characterized by a Phase I estimation error. The presence of these errors can cause a change in the location and/or width of control limits resulting in a deprived performance of the control chart. In this study, we introduce a non-parametric Tukey’s outlier detection model in the design structure of a two-sided cumulative sum (CUSUM) chart with estimated parameters for process monitoring. Using Monte Carlo simulations, we studied the estimation effect on the performance of the CUSUM chart in terms of the average run length and the standard deviation of the run length. We found the new design structure is more stable in the presence of outliers and requires fewer amounts of Phase I observations to stabilize the run-length performance. Finally, a numerical example and practical application of the proposed scheme are demonstrated using a dataset from healthcare surveillance where received signal strength of individuals’ movement is the variable of interest. The implementation of classical CUSUM shows that a shift detection in Phase II that received signal strength data is indeed masked/delayed if there are outliers in Phase I data. On the contrary, the proposed chart omits the Phase I outliers and gives a timely signal in Phase II.


Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 4041 ◽  
Author(s):  
Ethan J. Weathersby ◽  
Clement J. Gurrey ◽  
Jake B. McLean ◽  
Benjamin N. Sanders ◽  
Brian G. Larsen ◽  
...  

The purpose of this research was to create a thin ferrous polymer composite to be used as a target for inductive sensing in limb prosthetics. Inductive sensors are used to monitor limb-to-socket distance in prosthetic sockets, which reflects socket fit. A styrene–ethylene–ethylene/propylene–styrene (SEEPS) polymer was mixed with iron powder at three concentrations (75, 77, 85 wt%), and thin disk-shaped samples were fabricated (0.50, 0,75, 1.00 mm thickness). For 85 wt% samples of 0.50 mm thickness, which proved the best combination of high signal strength and low target volume, inductive sensor sensitivity ranged from 3.2E5 counts/mm at 0.00–1.00 mm distances to 7.2E4 counts/mm at 4.00–5.00 mm distances. The application of compressive stress (up to 425 kPa) introduced an absolute measurement error of less than 3.3 μm. Tensile elasticity was 282 kPa, which is comparable to that of commercial elastomeric liners. Durability testing in the shoe of an able-bodied participant demonstrated a change in calibration coefficient of less than 3.8% over two weeks of wear. The ferrous polymer composite may facilitate the development of automatically adjusting sockets that use limb-to-socket distance measurement for feedback control.


2001 ◽  
Vol 120 (5) ◽  
pp. A280-A280
Author(s):  
S HANAUER ◽  
P MINER ◽  
A KESHAVARZIAN ◽  
E MORRIS ◽  
B SALZBERG ◽  
...  

2005 ◽  
Vol 173 (4S) ◽  
pp. 360-360
Author(s):  
Peter E. Clark ◽  
Diana Stindt ◽  
M. Craig Hall ◽  
Michele Harmon ◽  
James F. Lovato ◽  
...  

2006 ◽  
Vol 37 (7) ◽  
pp. 28
Author(s):  
SHERRY BOSCHERT
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document