Nike, Inc.

Battelle Memorial Institute

Karsten Manufacturing Corporation

Nexceris Innovation Holdings, LLC

Nike Innovate C.v.

Bradley Charles Glenn

Douglas Anthony Thornton

Jeffrey Alan Hadden

John T Stites

Jeremy N Snyder

James S Thomas

Daniel Alan Roberts

Daniel John Simpson

Jason Wayne Black

James Henry Saunders

Eric L Rehberg

Arthur Parker Molinari

Chad Edward Bouton

Nicholas A Leech

Gaurav Sharma

Barry Hindin

Caroline M Markworth, Legal Representative

Alan J Markworth

Stephen Randall Cummings

Nicholas Brannigan Frank

Eric Rehberg

James H Saunders

Jeremy Snyder

This disclosure relates to systems and methods for monitoring and classifying released gases in an enclosed system having a gas source, by a gas sensor that has been a priori pre-trained to distinguish an off-gas event (OGE) or a thermal run off event (TRE) from non-OGE interfering gases release. The pre-training utilizes one of a machine learning (ML) or a deep learning (DL) algorithm to pre-train the gas sensor to detect a plurality of known gas analyte to generate sensor signals with respective unique characteristics, extracting features from the sensor signals to establish a decision boundary or an estimated probability of a false positive release of the OGE or the TRE from the non-OGE type of interfering gas release. The established decision boundaries or probability distributions are implemented as candidate model for field deployment to classify the released gases to distinguish whether OGE or TRE takes place.

Systems and methods for monitoring a gas analyte

An aggregation comprises: loads that draw electricity, and a hierarchy including a root dispatch engine at the top of the hierarchy, downstream dispatch engines each servicing downstream points comprising further downstream dispatch engines or loads, and the loads at the bottom of the hierarchy. Each downstream dispatch engine sends draw dispatches to its downstream points such that the total draw computed by summing the draw dispatches equals a draw dispatch received by the downstream dispatch engine from the dispatch engine above it in the hierarchy. The sent draw dispatches also satisfy downstream point draw constraints communicated to the downstream dispatch engine from its downstream points. In a method, a baseline long-term draw dispatch is determined for the aggregation, and the baseline long-term draw dispatch is modulated over a shorter time interval based on a short-term draw requirement to determine a draw dispatch for the aggregation.

Hierarchical operational control of aggregated load management resources

The present disclosure relates generally to systems, methods, and devices for closed loop deep brain stimulation. In particular, a neural signal is measured and provided to software. The software includes a feature generator and a brain network model that takes the neural signal and estimates other neural signals that are not directly measured, and operates as a model of the brain. The software determines a stimulation signal to be sent to stimulating electrodes. Estimated signals by the brain network model are continuously compared to actual signals from the brain. The closed loop feedback system advantageously allows for electrical stimulation levels and patterns to be continuously updated while delivered to a patient.

Closed loop deep brain stimulation systems and methods

Golf performance and equipment characteristics may be determined by analyzing the impact between a golf ball and an impacting surface. In some examples, the impacting surface may be a golf club face. The impact between the golf ball and the surface may be measured based on sound and/or motion sensors (e.g., gyroscopes, accelerometers, etc.). Based on motion and/or sound data, various equipment-related information including golf ball compression, club head speed and impact location may be derived. Such information and/or other types of data may be conveyed to a user to help improve performance, aid in selecting golf equipment and/or to insure quality of golfing products.

Impact and sound analysis for golf equipment

A golf club head having accelerometer and gyroscope sensors measuring swing motion acceleration and angular rate values. Inputs of force and torque to the golf club head during the swing motion may be unknown, such that a system of motion equations may be used to calculate functions for the unknown input force and torque, as well as roll angle and pitch angle for the golf club head, and compensate for gyroscope bias, without using static leveling processes.

Golf clubs and golf club heads having a plurality of sensors for detecting one or more swing parameters

A water heater that includes a cylindrical storage tank, at least one heating element, and at least one temperature sensor is modeled using a one-dimensional model that includes: a vertical stack of disks representing the water volume in the cylindrical storage tank, and a stack of annular segments surrounding the vertical stack of disks. The stack of annular segments represents the cylindrical wall of the cylindrical storage tank. The one-dimensional model may be used by a condition-based maintenance system comprising an electronic data processing device configured to detect a failure mode present in the water heater based on an output of the water heating model component. Some illustrative failure modes include insulation disturbance, heating element failure, excessive sediment buildup, or a drip tube rupture.

Estimation of unknown states for an electric water heater with thermal stratification and use of same in demand response and condition-based maintenance

A golf club having a sensor that is releasably connected is disclosed, where the sensor comprises a plurality of inertial measurement units. Each inertial measurement unit is able to measure linear accelerations along three orthogonal axes and angular rates of rotation along the same three orthogonal axes. Each inertial measurement unit is positioned such that at least two of the axes of each inertial measurement unit are oriented differently. Additionally, a process may be implemented by a processor to expand the measurement range of the sensor.

A golf club having a sensor that is removably connected at one or more positions of the golf club where the sensor comprises an inertial measurement unit including an accelerometer capable of measuring linear accelerations in three orthogonal axes and a gyroscope capable of measuring an angular rate of rotation around the same axes. The sensor may further comprise a processor which may perform instructions to detect the impact of the golf club with a golf ball and determine the start of the golf swing without any additional input from the user. The sensor may further have a power management system to extend the life of the power source.

Golf clubs and golf club heads having a sensor

Swing analysis system using angular rate and linear acceleration sensors

Golf club heads having sensors configured to measure one or more swing parameters are provided. The golf club head may include several gyroscopes and accelerometers. In one embodiment, the club head contains three gyroscopes that measure angular rate data along different orthogonal axes. At least one gyroscope may an analog gyroscope. Accelerometers may provide data regarding the three orthogonal axes associated with the gyroscopes. The club head may further include software and/or hardware that perform computer-executed methods for determining one or more swing parameters. Exemplary club heads may include a display device for displaying an output of the swing parameter(s). Further aspects of the invention relate to novel methods and algorithms for calculating measurements relating to the swing parameters.

Golf clubs and golf club heads having digital lie and/or other angle measuring equipment

Growing community of inventors

Columbus, OH, United States of America

Bradley Charles Glenn