Hyrum J Anderson

US Patent:

39659674, Jun 29, 1976

Filed:

Feb 12, 1975

Appl. No.:

5/549234

Inventors:

David P. Jentzsch - Sandy UT
Hyrum T. Anderson - Salt Lake City UT
Lee J. Olsen - Salt Lake City UT

Assignee:

Rubber Engineering, Inc. - Salt Lake City UT

International Classification:

E01B 728

US Classification:

104275

Abstract:

A portable crossover of high strength elastomeric material, such as polyurethane resin, which is placed upon the ground in the path of a high tonnage earth moving vehicle. A cable, supplying electrical power to an electric excavator, is placed in a U-shaped channel or recess and a strip insert of elastomeric material is placed over the cable thereby preventing debris from damaging the cable or causing subsequent removal of the cable to be difficult. The crossover is shaped particularly to provide ramps on each side for the vehicle to engage and has central load-carrying shoulders which restrict central deflection of the crossover, under the wheels of the vehicle, such that vehicle load is not imposed on the cable. A towbar, of rigid plate material or a cable or chain fixedly joins one end of the crossover whereby a tow vehicle may connect to and relocate a crossover from place to place as needed, upon removal of the cable from the channel.

US Patent:

20180322634, Nov 8, 2018

Filed:

May 2, 2017

Appl. No.:

15/585039

Inventors:

- Orem UT, US
Ralph Yarro, III - Orem UT, US
Benjamin P. Cahoon - Orem UT, US
Richard Boyd Smith - Orem UT, US
Hyrum S. Anderson - Orem UT, US

Assignee:

TechCyte, Inc. - Orem UT

International Classification:

G06T 7/11
G06K 9/62

Abstract:

Systems, methods, and devices for classifying or detecting mold samples or training computer models (such as neural networks), are disclosed. A method includes obtaining a microscopy image of a mold sample. The method includes determining a classification of the mold sample based on non-image data corresponding to the mold sample. The method further includes training a computer model based on the microscopy image and a label indicating the classification.