Samsung Electronics Co., Ltd.

Exxonmobil Upstream Research Company

Musa Maharramov

Sergio Perdices-Gonzalez

Partha Sarathi Routh

Brian R Patton

Marc Estruch Tena

Jun Yeon Cho

Mohammad J Abu Saude

Thomas Brenner

Ganglin Chen

Dean N Reading

William Augustus Workman

David H Johnston

Tiberiu A Andronescu

Paul Hsiao

Jose Marcel C Santos

In one embodiment, a method for controlling air quality in an unenclosed kitchen environment by a ventilation system includes determining an environmental state of the kitchen environment based on sensor data from sensors associated with the ventilation system, determining a current air quality of the kitchen environment based on the sensor data, determining adjustments for system-boundaries or air-manipulating devices associated with the ventilation system based on the current air quality and the environmental state, wherein the adjustments are configured to facilitate a target air quality of the kitchen environment; and adjusting the system-boundaries or air-manipulating devices associated with the ventilation system based on the determined adjustments.

Systems and methods for real-time adaptive air quality and pollution control in food processing and other thermal processing environments

In one embodiment, a method includes by an electronic device: receiving sensor data indicative of a touch input from sensors of a human interface-device (HID) of the electronic device, where the touch input occurs at a set of actual coordinates with respect to the HID, and where the sensor data indicates the touch input occurs at a set of detected coordinates with respect to the HID, determining a context associated with the touch input, determining, by one or more generative models, context-dependent statistics to apply a delta change to the set of detected coordinates, where the context-dependent statistics are based on the context associated with the touch input, and where the one or more generative models comprises one or more system parameters and one or more latent parameters, and determining a set of time-lapsed predicted coordinates of the touch input with respect to the HID based on the delta change.

Systems and methods for using statistical inference to enhance the precision of sparsified capacitive-touch and other human-interface devices

Provided is a method for determining convergence in full wavefield inversion (FWI) of 4D seismic (time-lapse seismic: 3D seismic surveys acquired at different times with the first survey termed as the baseline and subsequent surveys termed as monitors). FWI applied to field seismic data includes iteratively solving for subsurface property models and model difference between monitor and baseline. Iteration occurs until the model difference is sufficiently converged. Rather than determining convergence by examining an entire subsurface region of the models and/or the model difference, subparts of the subsurface region models and/or the model difference are examined in order to determine convergence. For example, different regions behave differently, include the target reservoir region (where hydrocarbon is present) and the background region that is outside the target reservoir region. Thus, transforming the subregions of the models and/or the model difference and analyzing the transformations may indicate convergence of the overall model difference.

Method for determining convergence in full wavefield inversion of 4D seismic data

Growing community of inventors

The Woodlands, TX, United States of America

Musa Maharramov