Thomas D Vaughan

US Patent:

42955572, Oct 20, 1981

Filed:

Mar 17, 1977

Appl. No.:

5/778412

Inventors:

Roland Etzold - Mountain View CA
Julius S. Impellizzeri - New York NY
Thomas W. Vaughan - Mountain View CA

Assignee:

Elmendorf Research, Inc. - Palo Alto CA

International Classification:

B65G 4714

US Classification:

198382

Abstract:

Wood strands are oriented into parallelism with the aid of a number of adjacent, generally parallel spaces defined by relatively thin, elongated guide members having flat sides with the longitudinal axes of the guide members extending substantially parallel to a support surface below the spaces for receiving the parallel, oriented wood strands. Each pair of adjacent guide members are moved in opposite directions to turn strands which span the guide members until the strand falls into the space therebetween. In one form of the invention, certain of the guide members have yielding projections on their upper margins and the other guide members have positive projections on their upper margins, each yielding projection having a pair of inclined end edges and each positive projection having end edges generally perpendicular to the longitudinal axis of the corresponding guide member. In another form of the invention, each guide member has spaced, yielding and positive projections with a positive projection being between each pair of adjacent yielding projections, respectively. In both forms of the invention, the yielding projections serve to raise wood strands which span the distance between three or more guide members; whereas, the positive projections operate to turn the strands until they fall between the guide members.

US Patent:

20210357764, Nov 18, 2021

Filed:

Jan 11, 2019

Appl. No.:

16/476410

Inventors:

- Mountain View CA, US
Andreas Ulbrich - Mountain View CA, US
Thomas A. Vaughan - Mountain View CA, US
Zhe Wang - Mountain View CA, US
Evgeny Skvortsov - Mountain View CA, US

International Classification:

G06N 5/00
G06N 20/20
G06N 5/02
G06F 16/22
G06F 16/28

Abstract:

Methods, systems, and computer readable medium for reducing inconsistencies in output between an original model and a new model. The method includes receiving an original model and a new model, mapping structures of the new model to structures of the original model, classifying each structure of the new model as belonging to a group of the original model, an unused group not in the original model, a subset of a group of the original model, or a merged set of a first and a second, different group of the original model, generating a merged model based on the mapping and classifying, and classifying a unique entities, using the merged model, by applying consistent hashing to each of the unique entities.