John W Slater

US Patent:

41791355, Dec 18, 1979

Filed:

Jan 13, 1978

Appl. No.:

5/869041

Inventors:

John Slater - Stanford CA

International Classification:

B62K 1112

US Classification:

280276

Abstract:

A suspension system for the front wheel of a motorcycle wherein a fork that carries the front wheel is connected to the frame in a manner that the steering axis of the fork in response to front wheel deflection by bumps is displaced parallel to itself relative to the frame. A specific example of such a suspension mechanism is a double A-arm connection. Handlebars are rotatably mounted to the frame. A connection between the handlebars and the fork is made in a manner so only rotation of the handlebars will cause rotation of the fork about its steering axis, and the connection does not affect suspension movement of the wheel relative to the frame. Examples of the steering connection are a folding bar and a hydraulic system.

US Patent:

20210336980, Oct 28, 2021

Filed:

May 10, 2021

Appl. No.:

17/316465

Inventors:

- San Francisco CA, US
Ping Yan - San Francisco CA, US
John Slater - San Francisco CA, US
Wei Deng - Sunnyvale CA, US

International Classification:

H04L 29/06
H04L 12/24
G06F 16/22
G06F 16/23

Abstract:

Techniques for user behavior anomaly detection. At least one low-variance characteristic is compared to an expected result for the corresponding low-variance characteristics to determine if the low-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the low-variance characteristic not being within the first pre-selected range of the expected results. At least one high-variance characteristic is compared to an expected result for the corresponding high-variance characteristics to determine if the high-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the high-variance characteristic not being within the first pre-selected range of the expected results. Access is provided if the low-variance and the high-variance characteristics are within the respective expected ranges.

US Patent:

20180337937, Nov 22, 2018

Filed:

May 19, 2017

Appl. No.:

15/600562

Inventors:

- San Francisco CA, US
Ping Yan - San Francisco CA, US
John Slater - San Francisco CA, US
Wei Deng - Sunnyvale CA, US

International Classification:

H04L 29/06
G06F 17/30
H04L 12/24

Abstract:

Techniques for user behavior anomaly detection. At least one low-variance characteristic is compared to an expected result for the corresponding low-variance characteristics to determine if the low-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the low-variance characteristic not being within the first pre-selected range of the expected results. At least one high-variance characteristic is compared to an expected result for the corresponding high-variance characteristics to determine if the high-variance characteristic(s) is/are within a pre-selected range of the expected results. A security response action is taken in response to the high-variance characteristic not being within the first pre-selected range of the expected results. Access is provided if the low-variance and the high-variance characteristics are within the respective expected ranges.