Jeffrey A Weldon

US Patent:

20100271003, Oct 28, 2010

Filed:

Sep 3, 2008

Appl. No.:

12/681760

Inventors:

Kenneth J. Jensen - Berkeley CA, US
Alexander K. Zettl - Kensington CA, US
Jeffrey A. Weldon - Oakland CA, US

Assignee:

THE REGENTS OF THE UNIVERSITY OF CALIFORNIA - Oakland CA

International Classification:

G01R 27/04
H03H 9/24

US Classification:

324 7649, 333200

Abstract:

A fully-functional radio receiver fabricated from a single nanotube is being disclosed. Simultaneously, a single nanotube can perform the functions of all major components of a radio: antenna, tunable band-pass filter, amplifier, and demodulator. A DC voltage source, as supplied by a battery, can power the radio. Using carrier waves in the commercially relevant 40-400 MHz range and both frequency and amplitude modulation techniques, successful music and voice reception has been demonstrated. Also disclosed are a radio transmitter and a mass sensor using a nanotube resonator device.

US Patent:

20180146878, May 31, 2018

Filed:

Jun 27, 2016

Appl. No.:

15/580249

Inventors:

- Pittsburgh PA, US
Shawn Kelly - Pittsburgh PA, US
Jeffrey Weldon - Pittsburgh PA, US

International Classification:

A61B 5/0478
G06F 19/12
A61B 5/04
A61B 5/00

Abstract:

The present invention relates to a method of taking biopotential measurements, with the ability to perform in high-density sensing applications. The invention is a hierarchical referencing method for the electrodes in the biopotential measurement system that is able to recover potential at each location with respect to a global reference with smaller requirements on ADC resolution, and thus with lower power and area requirements as compared to current systems.

US Patent:

20160125288, May 5, 2016

Filed:

Nov 3, 2015

Appl. No.:

14/931592

Inventors:

- Pittsburgh PA, US
Abhishek Anil Sharma - Pittsburgh PA, US
Thomas Christopher Jackson - Pittsburgh PA, US
Jeffrey Arthur Weldon - Pittsburgh PA, US

Assignee:

CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Profit Corporation - Pittsburgh PA

International Classification:

G06N 3/04
G06F 21/44

Abstract:

The disclosure describes the use of a neural network circuit, such as an oscillatory neural network or cellular neural network, to serve as a physically unclonable function on an integrated circuit or within an electronic system. The manufacturing process variations that impact the initial state of the neural network parameters are used to provide the unique identification for the physically unclonable function. A challenge signal to the neural network results in a response that is unique to the circuits process variations. The neural network is designed such that there are random variations among manufactured circuits, but that the specific instance variations are sufficiently deterministic with respect to circuit aging and environmental conditions such as temperature and supply voltage.