Matthew Tyler Preston

US Patent:

52784479, Jan 11, 1994

Filed:

Jan 16, 1992

Appl. No.:

7/821678

Inventors:

Sutee Vongfuangfoo - Sunnyvale CA
Matthew Preston - San Jose CA

Assignee:

LSI Logic Corporation - Milpitas CA

International Classification:

H01L 2304

US Classification:

257727

Abstract:

Damage to the package body and external leads of a leaded semiconductor device assembly is prevented by a carrier assembly. The carrier assembly includes a rigid bottom (lower) plate positively supporting the package body and providing a bottom cover for the external leads. A semi-rigid top (upper) plate positively holds the package body against the bottom plate, prevents movement of the package body with respect to the carrier assembly, and covers the external leads. Fasteners are provided for securing the upper plate to the lower plate, preferably at the four corners of the plates. In this manner, a durable "sandwich" structure is created, with the package disposed between the lower and upper plates and the body and leads well protected against damage.

US Patent:

20190304026, Oct 3, 2019

Filed:

Mar 27, 2019

Appl. No.:

16/367153

Inventors:

- San Francisco CA, US
David Jerome Tobias - San Mateo CA, US
Jason Renwick Janofsky - San Marcos CA, US
Matthew Tyler Preston - Oakland CA, US
Taylor Caitlyn Dohmeier - San Francisco CA, US

International Classification:

G06Q 40/08
G06N 20/00
G06Q 50/16
G06K 9/00
G06K 9/62

Abstract:

A structure evaluation system is disclosed. In one implementation, an image of the structure is obtained. The image is analyzed. An annotation is generated for the image for a plurality of specific attributes predictive of a loss risk. The annotation may include a set of fields for the specific attributes. In one example, a trained machine learning model is used to generate the specific attributes. The annotations are aggregated to form a signal indicative of a loss risk. In one example, the signal is a score. In some examples, a recommendation is generated for monitoring or remediating the loss risk.