CPC Class G05B

A method for determining process window limiting patterns based on aberration sensitivity associated with a patterning apparatus. The method includes obtaining (i) a first set of kernels and a second set of kernels associated with an aberration wavefront of the patterning apparatus and (ii) a design layout to be printed on a substrate via the patterning apparatus; and determining, via a process simulation using the design layout, the first set of kernels, and the second set of kernels, an aberration sensitivity map associated with the aberration wavefront, the aberration sensitivity map indicating how sensitive one or more portions of the design layout are to an individual aberrations and an interaction between different aberrations; determining, based on the aberration sensitivity map, the process window limiting pattern associated with the design layout having relatively high sensitivity compared to other portions of the design layout.

A smart circuit breaker may provide a smart-circuit-breaker power monitoring signal that includes information about power consumption of devices connected to the smart circuit breaker. The smart-circuit-breaker power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart circuit breaker, (ii) identify devices receiving power from the smart circuit breaker, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

Autonomous vehicle methods and systems are described herein for communicating with an autonomous or semi-autonomous vehicle to remotely control operation of the vehicle, to detect and remove unauthorized passengers, to deliver loads, to receive registration information for the vehicle, to provide accessibility information to the vehicle, and/or to receive sensor or other environmental data to integrate with an electronic game or other extended reality experience.

Method and computing device for inferring via a neural network environmental data of an area of a building based on visible and thermal images of the area. A predictive model generated by a neural network training engine is stored by the computing device. The computing device determines a visible image of an area based on data received from at least one visible imaging camera. The computing device determines a thermal image of the area based on data received from at least one thermal imaging device. The computing device executes a neural network inference engine, using the predictive model for inferring environmental data based on the visible image and the thermal image. The inferred environmental data comprise geometric characteristic(s) of the area, an occupancy of the area, a human activity in the area, temperature value(s) for the area, and luminosity value(s) for the area.

A servo driving method of the present invention to drive a stepping motor driven by a predetermined driving pulse, by a servo control method, is comprising a setting step of setting a driving mode of the stepping motor switchable at least between a first driving mode, in which the stepping motor is driven with a relatively large current, and a second driving mode, in which the stepping motor is driven with a relatively small current, and a switching step of switching the driving mode between the first driving mode and the second driving mode when a predetermined mode switching information is given. Thereby, it becomes possible to reduce the power consumption by supplying power efficiently to the stepping motor.

Aspects of this invention relate to an adjustable bed that may include one or more articulating portions, and may include one or more components, including an air inflatable mattress associated with the adjustable bed frame, a programmable logic controller, a remote memory storage facility, a remote storage location of user preferences, a cell phone remote control, a modular control device, an air purification facility, a power outlet controller, a Bluetooth remote control, an ultra wide band remote control, a wireless USB remote control, and the like.