Michael D Rodgers

US Patent:

20220366296, Nov 17, 2022

Filed:

May 13, 2021

Appl. No.:

17/319599

Inventors:

- Redwood Shores CA, US
Shreyas Ravindranath - Bangalore, IN
Ganesh Kumar Gupta - Bangalore, IN
Michael Patrick Rodgers - Lake Oswego OR, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06N 20/00
G06K 9/62
G06F 11/14

Abstract:

Techniques for configuring autosave triggers in a computing environment based on environment and data conditions are disclosed. A system trains a machine learning model based on data attributes and environmental attributes to generate autosave value triggers for a computing environment. The autosave value triggers are triggered by different conditions. For example, one autosave trigger may be triggered when an error condition is detected. Another may be triggered when a certain number of operations are performed. The machine learning model generates autosave trigger values scores for one or more autosave triggers. The system may implement the autosave triggers in the computing environment based on the autosave trigger values.

US Patent:

20210303773, Sep 30, 2021

Filed:

Mar 29, 2021

Appl. No.:

17/216010

Inventors:

- Redwood Shores CA, US
Michael Patrick Rodgers - Lake Oswego OR, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 40/14
G06F 40/103

Abstract:

Layouts for elements of a flowchart or flow diagram may use recursive algorithms that trace along each parent-child pathway to ensure that child elements always occur after parent elements in a horizontal spacing. Vertical spacing requirements may then be calculated for each element, along with a vertical space above a center line and a vertical space below a center line for each element. These vertical spacing requirements may then be used by a recursive algorithm to assign vertical positions to each of the elements. The vertical spacing may ensure that lanes created for each branch element are not crossed by later elements in the process flow, which ensures that connections between elements may be clearly distinguished from each other.

US Patent:

20210042966, Feb 11, 2021

Filed:

Aug 6, 2019

Appl. No.:

16/533314

Inventors:

- Redwood Shores CA, US
Michael Patrick Rodgers - Lake Oswego OR, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06T 11/00
G06F 3/0481
G06T 1/60
G06F 17/22
G06F 17/21
G06F 16/583

Abstract:

To dynamically re-color scalable graphic images in web applications, a server may send an image filename to a web application operating on a client device. Before displaying the image, the client device may send a request back to the server identifying the image and providing color codes for the image. The server may load an image file for the identified image and replace generic placeholders in the image file with the color codes sent from the client device. The re-colored image file may then be sent back to the client device for display. The server may receive subsequent requests to re-color the image using different color codes in response to user inputs at the client device, such as clicking or hovering over the image.

US Patent:

20200110577, Apr 9, 2020

Filed:

Dec 5, 2019

Appl. No.:

16/704554

Inventors:

- Redwood Shores CA, US
Michael Patrick Rodgers - Lake Oswego OR, US

Assignee:

Oracle International Corporation - Redwood Shores CA

International Classification:

G06F 3/16
G10L 25/78
H04R 29/00
G06N 20/00

Abstract:

Techniques for user-adaptive volume selection are disclosed. A system receives audio input that includes a user request to a virtual assistant. The system determines one or more sound characteristics corresponding to the audio input, and applies the sound characteristic(s) to a volume selection model. The volume selection model selects a volume level based on the sound characteristic(s). The system plays an audio response to the user's request at the selected volume level. Subsequently, the system receives user input to modify output volume to a different volume level. Based on the user input, the system calibrates the volume selection model. When the system receives another audio input, the system analyzes the other audio input to determine one or more sound characteristics of the other audio input. The system uses the calibrated volume selection model to select a volume level for an audio response to the other audio input.