Mechanical impulse system for myotatic reflex investigation

1984 ◽  
Vol 22 (5) ◽  
pp. 458-460 ◽  
Author(s):  
H. Vermariën ◽  
L. Maes ◽  
F. Vereecke
Keyword(s):  
Impulse System ◽  
Mechanical Impulse

scholarly journals MECHANICAL IMPULSE RESPONSE AS A MEASURE OF TOMATO FRUIT MATURITY

HortScience ◽  
1994 ◽  
Vol 29 (7) ◽  
pp. 739g-739
Author(s):  
D. Chrz ◽  
N. Maness ◽  
D. Chen ◽  
M. Stone
Keyword(s):  
Tomato Fruit ◽  
Fruit Weight ◽  
Agricultural Experiment Station ◽  
Impulse System ◽  
Fruit Maturity ◽  
Essential Components ◽  
Agricultural Experiment ◽  
Technology Grant ◽  
A Site ◽  
Mechanical Impulse

A mechanical impulse system for determining tomato fruit maturity and size was tested, for development of a rapid, nondestructive fruit testing instrument. Fruit were grouped into various maturity categories, ranging from immature green to red, and impulse spectra were obtained at a site over the locule at marked locations. Resistance to puncture was measured on the locular side of the pericarp wall at the same locations. A sonic resonant frequency band was weakly correlated with fruit maturity category. Stronger correlations existed with pericarp puncture resistance and fruit weight. A description of essential components and utilization of the instrument for fruit firmness determination will be presented. Supported by OCAST (Oklahoma Center for the Advancement of Science and Technology) grant AR2-069, USDA grant 92-34150-7190 and the Oklahoma Agricultural Experiment Station.

MECHANICAL IMPULSE MEASUREMENTS CLOSE TO EXPLOSIVE CHARGES

1962 ◽  
Author(s):  
J. M. Dewey ◽  
O. T. Johnson ◽  
J. D. Patterson ◽  
II
Keyword(s):  
Explosive Charges ◽  
Mechanical Impulse

scholarly journals Knocking and Listening: Learning Mechanical Impulse Response for Understanding Surface Characteristics

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 369 ◽  
Author(s):  
Semin Ryu ◽  
Seung-Chan Kim
Keyword(s):  
Intelligent System ◽  
Surface Characteristics ◽  
Machine Learning Techniques ◽  
Test Accuracy ◽  
Learning Approaches ◽  
Well Test ◽  
Mechanical Responses ◽  
Learning Techniques ◽  
The Impact ◽  
Mechanical Impulse

Inspired by spiders that can generate and sense vibrations to obtain information regarding a substrate, we propose an intelligent system that can recognize the type of surface being touched by knocking the surface and listening to the vibrations. Hence, we developed a system that is equipped with an electromagnetic hammer for hitting the ground and an accelerometer for measuring the mechanical responses induced by the impact. We investigate the feasibility of sensing 10 different daily surfaces through various machine-learning techniques including recent deep-learning approaches. Although some test surfaces are similar, experimental results show that our system can recognize 10 different surfaces remarkably well (test accuracy of 98.66%). In addition, our results without directly hitting the surface (internal impact) exhibited considerably high test accuracy (97.51%). Finally, we conclude this paper with the limitations and future directions of the study.

MP-01.10 In vitro Comparison of Two New Mechanical Impulse Lithotripsy Devices

Urology ◽  
2011 ◽  
Vol 78 (3) ◽  
pp. S30
Author(s):  
C. Keil ◽  
A. Hegele ◽  
R. Hofmann ◽  
P. Olbert
Keyword(s):  
Mechanical Impulse ◽  
In Vitro Comparison

A continuous profile of sea ice and freshwater ice thickness by impulse radar

Polar Record ◽  
1974 ◽  
Vol 17 (106) ◽  
pp. 31-41 ◽  
Author(s):  
K. J. Campbell ◽  
A. S. Orange
Keyword(s):  
Feasibility Study ◽  
Sea Water ◽  
Time Profile ◽  
Ice Thickness ◽  
Water Ice ◽  
Shallow Subsurface ◽  
Impulse System ◽  
Chart Recorder ◽  
Single Trace ◽  
Subbottom Profiling

For several years. Geophysical Survey Systems, Inc has been using an impulse radar system as a shallow subsurface exploration tool for engineering applications. Recently this system has been applied to the measurement of ice thicknesses both on sea-water and fresh-water ice. In the course of a feasibility study performed in December 1972, thebasic operating parameters and limitations of the tool when operated on ice were determined. Following the feasibility study, operational surveys were performed totalling approximately 11 crew-months and covering in excess of 1 500 km of survey route at several locations in the Canadian Arctic. The technique is known as Electromagnetic Subsurface Profiling (ESP), and it can be considered the electromagnetic equivalent of the single-trace acoustic profiling methods used for marine subbottom profiling. In practice, ice-thickness profiling is done by towing a sled-mounted antenna behind a tracked vehicle containing the impulse system (Fig 1). Real-time profile data are displayed graphically on a strip-chart recorder. The data may also be recorded on magnetic tape for later processing and playback.

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