An ultrasonic communication system for biotelemetry in extremely shallow waters

2008 ◽  
Author(s):  
Gregory S. Parsons ◽  
Shaolin Peng ◽  
Alexander G. Dean
Keyword(s):  
Communication System ◽  
Shallow Waters ◽  
Ultrasonic Communication

Modeling of a two‐transducer through‐wall ultrasonic communication system.

2010 ◽  
Vol 127 (3) ◽  
pp. 1953-1953
Author(s):  
Sebastian Roa Prada ◽  
Kyle R. Wilt ◽  
Henry A. Scarton ◽  
Gary J. Saulnier ◽  
Jonathan D. Ashdown ◽  
...  
Keyword(s):  
Communication System ◽  
Ultrasonic Communication

Finite Element Modeling and Simulation of a Two-Transducer Through-Wall Ultrasonic Communication System

2009 ◽  
Author(s):  
K. R. Wilt ◽  
H. A. Scarton ◽  
S. Roa-Prada ◽  
G. J. Saulnier ◽  
J. D. Ashdown ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Communication System ◽  
Continuous Wave ◽  
Transmitted Beam ◽  
Element Modeling ◽  
Reflected Wave ◽  
Physical Measurements ◽  
Metal Vessel ◽  
Ultrasonic Communication

A finite element simulation of a through-wall ultrasonic communication system which permits data to be transferred from the inside of a sealed metal vessel to the outside without the need for physical penetrations is introduced. Two transducers are aligned axially on either side of a thick solid stainless steel wall. The outside transducer is forced with a continuous sinusoidal voltage at the crystal’s nominal 1 MHz longitudinal resonant frequency, launching a wave into the wall. The transmitted beam is partially reflected off of the inside of the wall where the inside transducer is located. The amplitude of the reflected wave is modulated by switching the electrical impedance placed across the leads of the inside transducer. The reflected wave is received at the outside transducer and the continuous wave amplitude is sensed to detect the transmitted data bits. The system is modeled and simulated using a commercial finite element modeling package. A coupled stress-strain and piezoelectric analysis is performed using an axisymmetric geometry. The model represents an existing system from which physical measurements were taken. Excellent correlation between the model and system were observed and the model has been used to further optimize the communication system.

AAC Decision-Making and Mobile Technology: Points to Ponder

2014 ◽  
Vol 23 (2) ◽  
pp. 104-111 ◽  
Author(s):  
Mary Ann Abbott ◽  
Debby McBride
Keyword(s):  
Decision Making ◽  
Mobile Technology ◽  
Communication System ◽  
Augmentative And Alternative Communication ◽  
Evaluation Process ◽  
Decision Making Process ◽  
Alternative Communication ◽  
Ipod Touch ◽  
Feature Match

The purpose of this article is to outline a decision-making process and highlight which portions of the augmentative and alternative communication (AAC) evaluation process deserve special attention when deciding which features are required for a communication system in order to provide optimal benefit for the user. The clinician then will be able to use a feature-match approach as part of the decision-making process to determine whether mobile technology or a dedicated device is the best choice for communication. The term mobile technology will be used to describe off-the-shelf, commercially available, tablet-style devices like an iPhone®, iPod Touch®, iPad®, and Android® or Windows® tablet.

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