Google Inc.

Palantir Technologies Inc.

Guangdong Oppo Mobile Telecommunications Corp., Ltd.

Boa Technology Inc.

Kevin Chen

Mark Elliot

Michael Joseph Nickel

Ramya Bhagavatula

Kristoffer John Donhowe

Samuel Y Chang

Jeffrey Gleeson

Robert Fink

Jared Newman

Michael Nazario

Lynn Cuthriell

Jakob Juelich

Divyanshu Arora

Mingyu Kim

Matthew Cheah

Justin Uang

Stephen Uhler

Olga Irzak

Ross Koningstein

James Schmalzried

Hannah Korus

Mark Kerns

Jesse Daniel Cotterman

Brett Vladika

Rapheal Kaplan

Ian Loic McKellar

Thomas Playford

Anna Hetman

Kurt Adelberger

Taylor James DiTallo

Tushar Narayan

Matt Stepanian

Matt Zwiesler

Hannah McDermott

Andrea Kilness

Melissa Norrish

Benjamin Sample

Karl Wurm

John Figueiredo

Broc Waring

Chris Sagui

Daniel Feeney

Phillip Horne

William Wandling

An article of footwear, such as a shoe or boot, includes a sole, an upper, and one or more guides that are coupled or attached with the upper. The one or more guides are configured and arranged to route or direct a tension member along a path about the footwear. The footwear also includes a panel having a fixed end that is attached to a first side of the upper and a free end that is positioned opposite the fixed end. The panel extends from the first side of the upper toward a second side of the upper. The panel is positionable over at least one guide of the one or more guides to cover and conceal the at least one guide from external view.

Footwear configurations

A computer system is disclosed that provides classification-based access controls at the dataset row-level. The system may perform operations including: ingesting a dataset, wherein the dataset comprises a table of rows and columns; determining a column of the table that includes permissions information; applying parsing rules to the column to determine, for each row of the table, a list of permissions markings; receiving, from a user, a request to access the dataset; and in response to receiving the request: determining a permissions policy associated with the user; determining an evaluated policy associated with the user based on the permissions policy; filtering the table based on applying the evaluated policy associated with the user to the permissions markings of each row of the table; and providing the user access to the filtered table.

Row-level permissioning based on evaluated policies

Techniques for performing an emissions demand response event are described. In an example, a power control server system receives an emissions rate forecast for a predefined future time period. Using the emissions rate forecast, an emissions rate event is identified during the predefined future time period. Based on the plurality of emissions rate event, an emissions demand response event is generated during the predefined future time period. The power control server system then causes a power controller to modify an energy consumption by an electronic device in accordance with the generated emissions demand response event.

Managing emissions demand response event generation

A method includes receiving a first image, receiving a motion dataset, determining a motion level, determining an initialization state, and determining a tracking level. In a first condition, the method includes generating a first image pyramid, detecting a plurality of features in the first image pyramid using a first detector threshold, and generating a first set of detected keypoints from the plurality of features. In a second condition, the method includes generating a second image pyramid, detecting the plurality of features in the second image pyramid using a second detector threshold, the second detector threshold being less restrictive than the first detector threshold, and generating a second set of detected keypoints. In a third condition, the method includes detecting the plurality of features in the first image according to the first detector threshold and generating a third set of detected keypoint.

Method and system for implementing adaptive feature detection for vSLAM systems

A computer-implemented method comprises obtaining a first build task for building first source code in a first programming language of a plurality of programming languages; retrieving, by the processor, the first source code based on the first build task; building the first source code into one or more artifacts and one or more job specifications; storing the one or more artifacts in a cache shared across a cluster; and initializing an application module on the cluster based on the first programming language, the application module configured to receive a job specification of the one or more job specifications and execute a data transformation job using a reference to a location in the cache.

Extensible data transformation authoring and validation system

Techniques for performing an emissions demand response (EDR) event are described. In an example, a cloud-based HVAC control system may obtain a first emissions rate forecast and generate an EDR event with a start time and end time based on the first emissions rate forecast. The EDR event may then be transmitted to a thermostat and stored in a memory of the thermostat. At the start time, the thermostat may commence controlling an HVAC system according to the EDR event. After the start time and prior to the end time, the cloud-based HVAC control system may obtain a second emissions rate forecast and generate a modified EDR event with a modified end time. The modified EDR event may be transmitted to the thermostat before the end time and/or the modified end time whereupon the thermostat may control the HVAC system accordingly until the modified end time is reached.

Dynamic adaptation of emissions demand response events

Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system obtains a history of emissions rates. Based on the history of emissions rates, a future time period of predicted high emissions is identified. An emission demand response event participation level of an account mapped to a thermostat is determined for the future time period of predicted high emissions. The emissions demand response event participation level may be one of a plurality of emissions demand response event participation levels. based on the emissions demand response event participation level of the account, an emissions demand response event is generated during the future time period of predicted high emissions. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

Managing user account participation in emissions demand response events

Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system receives an emissions rate forecast for a predefined future time period. Using the emissions rate forecast, a plurality of emissions differential values are created for a plurality of points in time during the predefined future time period. The emissions differential values represent a change in predicted emissions over time. Based on the plurality of emissions differential values and a predefined maximum number of emissions demand response events, an emissions demand response event is generated during the predefined future time period. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system obtains an emissions rate forecast for a predefined future time period. Using the emissions rate forecast, a future emissions rate event during the predefined future time period is identified. The future emissions rate event comprises an indication of predicted magnitude and a time period when a predicted emissions rate will be at an increased or decreased level. A confidence value indicating a certainty of the future emissions rate event occurring as predicted is determined. Based on the identified future emissions rate event and the confidence value, an emissions demand response event having a start time and an end time during the future emissions rate event is generated. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

Managing emissions demand response event intensity

Data transformation in a distributed system of applications and data repositories is described. The subsystems for the overall framework are distributed, thereby allowing for customization to require only isolated changes to one or more subsystems. In one embodiment, a source code repository is used to receive and store source code. A build subsystem can retrieve source code from the source code repository and build it, using one or more criteria. By building the source code, the build subsystem can generate an artifact, which is executable code, such as a JAR or SQL file. Likewise, by building the source code, the build subsystem can generate one or more job specifications for executing the executable code. In one embodiment, the artifact and job specification may be used to launch an application server in a cluster. The application server can then receive data transformation instructions and execute the data transformation instructions.

A system and machine-implemented method of wireless network access are provided. First network credentials for a first wireless network hosted by a wireless-enabled device are received from a server. A first network connection with the wireless-enabled device in the first wireless network is established based on the first network credentials. Second network credentials for a second wireless network are provided to the wireless-enabled device via the first network connection. A second network connection with the wireless-enabled device in the second wireless network is established based on the second network credentials.

Wireless network access

A device or arrangement may be configured to receive a temperature limit such as an acceptable maximum temperature as well as a tolerance measure such as a number of acceptable events, the events causing the temperature to be outside of the temperature limit. An air comfort device may be operated based on the received temperature limit and the tolerance measure. A potential cost value may be provided based on a temperature limit and tolerance measure. A temperature limit and tolerance measure may be calculated based on a target cost value such that the arrangement may modify a temperature limit and/or tolerance measure to achieve the target cost value.

Soliciting user input for thermostat control

Growing community of inventors

Menlo Park, CA, United States of America

Kevin Chen