Abstract: A dynamically deployable, low visibility pneumatic cofferdam for flood mitigation is disclosed. The cofferdam includes a first planar component, a second planar component, an inflatable hermetic airbag sandwiched therebetween, and connection members attached to the first planar component, a second planar component to form a cofferdam unit. The connection members are adjustable to apply and maintain a desired amount of pressure on the airbag to enable a watertight seal to be formed. The cofferdam units may be sized and designed to sealingly mate adjacent cofferdam units in a variety of configurations to form watertight seals. The cofferdam units may also be sized and designed to attach to seawalls, flood walls, sidewalks, or other infrastructure. When in a deployed state, the height of the cofferdam may be adjusted to a desired height to provide flood mitigation. When in an undeployed state, the cofferdam remains in a substantially flat and unobtrusive position.

Abstract: A furnace includes a gas burner exposed to a heat-exchange tube. An inducer is fluidly coupled to the heat-exchange tube and configured to induce draft air through the heat-exchange tube. A regulator is fluidly coupled to the gas burner. A rollout shield is disposed adjacent to the gas burner. A rollout switch is disposed in the rollout shield. The rollout switch is electrically coupled to the regulator. At least one vent is formed through the rollout shield adjacent to the rollout switch. The vent provides a path for a rollout flame to the rollout switch. The at least one vent is disposed on at least two sides of the rollout switch.

Abstract: A remote surveillance apparatus and method comprising a camera coupled to a support structure and configured to capture video data and transmit the captured video data, a router bound to a public internet protocol (IP) address of a data center computing device external to the remote surveillance apparatus using a virtual private network (VPN), the router being configured to receive the captured video data, and wirelessly retransmit the captured video data, via a modem, to a requesting computing device external to the remote surveillance apparatus in response to a request originating at the requesting computing device that is addressed to the public IP address of the data center computing device and subsequently directed to the router by the data center computing device.

Abstract: Embodiments of the disclosure provide a micromachined mirror assembly for controlling directions of optical signals in an optical sensing system. The micromachined mirror assembly includes a micro mirror and at least one piezoelectric actuator. The micro mirror is suspended over a substrate by at least one beam mechanically coupled to the micro mirror, and the at least one piezoelectric actuator is mechanically coupled to the at least one beam and is configured to drive the micro mirror via the at least one beam. The at least one piezoelectric actuator is configured to drive the micro mirror to tilt around a first axis based on a first electrical signal applied to the at least one piezoelectric actuator. The first electrical signal causes a piezoelectric material of the at least one piezoelectric actuator to expand in a first direction in parallel with the first axis.

Abstract: A method includes accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: A security system for a building has multiple lock modules. Each lock module is associated with a particular door and has an unlocked position that allows the particular door to open and a locked position that prevents the particular door from opening. Each lock module includes a door status signal and a controller. The door status signal includes a unique identifier for the particular door associated with the lock module and a status that identifies when the lock module is in the locked position. The controller transmits the door status signal for the lock module. A lock module command signal received by at least some of the lock modules directs at least some of the lock modules to reposition to either the unlocked position or the locked position.

Abstract: A remote surveillance apparatus and method comprising a camera movably coupled to a mast and configured to capture video data and transmit the captured video data, a router configured to receive the captured video data and wirelessly retransmit the captured video data, via a modem, to a user computing device in response to a request from the user computing device, and an enclosure coupled to the mast and housing the router and the modem.

Abstract: A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: A system includes a processing device and memory device storing instructions that result in accessing a first dataset including aerial imagery data, accessing a second dataset including property boundary data, and identifying property boundaries associated with a geographic area. A plurality of artificial-intelligence (AI) models are applied to the datasets to identify and compute information of interest. Based on the first dataset and constrained by the property boundaries, a building detection model can be applied to identify a building footprint, and a tree detection model can be applied to identify one or more trees. An estimated distance can be determined between each of the trees and a nearest portion of the building footprint as separation data, which can be compared to a defensible space guideline to determine a defensible space adherence score. A wildfire risk map can be generated, including the defensible space adherence score associated with the geographic area.

Abstract: A security system for a building includes a plurality of lock modules. Each lock module is associated with a particular door and has an unlocked position and a locked position. Each lock module includes a lock bar, an actuator, and a controller. The lock bar has a first position that allows the particular door to open and a second position that extends from a door frame, a wall, or a floor surface adjacent to the particular door to prevent the particular door from opening. The actuator moves the lock bar between the first and second positions. The controller is operably connected to the actuator and transmits a door status signal that uniquely identifies the particular door. A lock module command signal received by the plurality of lock modules directs the plurality of lock modules to reposition to either the unlocked position or the locked position.

Abstract: A security system for a building has multiple lock modules. Each lock module is associated with a particular door and has an unlocked position that allows the particular door to open and a locked position that prevents the particular door from opening. Each lock module includes a door status signal and a controller. The door status signal includes a unique identifier for the particular door associated with the lock module and a status that identifies when the lock module is in the locked position. The controller transmits the door status signal for the lock module. A lock module command signal received by at least some of the lock modules directs at least some of the lock modules to reposition to either the unlocked position or the locked position.

Abstract: Payment providers interact with an online service provider using a standard interface provided by the online service provider for different payment providers. A payment provider can invoke the interface of the online service provider to add credits for a user of the online service provider. The online service provider allows users to make purchases using credits. The online service provider authorizes purchases made by the user based on credits available for the user or based on a history of payments from the user. The online service provider sends an invoice based on the purchases to the payment provider. The payment provider can be any system that can invoke the interface provided by the online service provider. For example, the payment provider can be a financial institution, another user, or a business that provides credits to the user for performing actions that benefit the business.

Abstract: Systems and methods for automatically ascertaining an estimated amount of damage to a plurality of objects at a location by utilizing one or more Unmanned Aerial Vehicle (UAV), e.g., “drone” devices to capture imagery of the location and utilizing Artificial Intelligence (Al) logic modules to analyze the captured imagery.

Abstract: Certain aspects of the present disclosure provide techniques for concurrently performing inferences using a machine learning model and optimizing parameters used in executing the machine learning model. An example method generally includes receiving a request to perform inferences on a data set using the machine learning model and performance metric targets for performance of the inferences. At least a first inference is performed on the data set using the machine learning model to meet a latency specified for generation of the first inference from receipt of the request. While performing the at least the first inference, operational parameters resulting in inference performance approaching the performance metric targets are identified based on the machine learning model and operational properties of the computing device. The identified operational parameters are applied to performance of subsequent inferences using the machine learning model.

Abstract: This invention is directed to a compound of formula (I): wherein R1, R2 and R3 are as defined herein, a pharmaceutical composition comprising the compound, intermediates and processes for making said compounds, and the use of the compound to treat allergic and/or inflammatory disorders, particularly disorders such as allergic rhinitis, asthma, chronic obstructive pulmonary disease (COPD) and age-related macular degeneration (AMD).

Abstract: A furnace includes a gas burner exposed to a heat-exchange tube. An inducer is fluidly coupled to the heat-exchange tube and configured to induce draft air through the heat-exchange tube. A regulator is fluidly coupled to the gas burner. A rollout shield is disposed adjacent to the gas burner. A rollout switch is disposed in the rollout shield. The rollout switch is electrically coupled to the regulator. At least one vent is formed through the rollout shield adjacent to the rollout switch. The vent provides a path for a rollout flame to the rollout switch. The at least one vent is disposed on at least two sides of the rollout switch.

Abstract: A method and apparatus for facilitating payment transactions in multiple currencies between participants is provided. In one embodiment, an option is provided to a user to select a currency in which to make a payment. An indication of the selected currency in which to make the payment is received. A determination is made as to whether the selected currency is a primary currency of an account of the user. Based on the selected currency being different from the primary currency of the account of the user, the payment is converted to the selected currency.

Abstract: Embodiments predict biochemical recurrence (BCR) or metastasis by accessing a set of images of a region of tissue demonstrating cancerous pathology, including a tumor region and a tumor adjacent benign (TAB) region, the set of images including a first stain type image, and a second stain type image; segmenting cellular nuclei represented in the first and second image; generating a combined feature set by extracting at least one feature from each of a tumor region and TAB region represented in the first image, and a tumor region and TAB region represented in the second image, providing the combined feature set to a machine learning classifier; receiving, from the classifier, a probability that the region of tissue will experience BCR or metastasis; and generating a classification of the region of tissue as likely to experience BCR or metastasis, or unlikely to experience BCR or metastasis.

Abstract: Systems and methods for automatically ascertaining an estimated amount of damage to a plurality of objects at a location by utilizing one or more Unmanned Aerial Vehicle (UAV), e.g., “drone” devices to capture imagery of the location and utilizing Artificial Intelligence (Al) logic modules to analyze the captured imagery.

Abstract: Systems and methods for automatically ascertaining an estimated amount of damage to a plurality of objects at a location by utilizing one or more Unmanned Aerial Vehicle (UAV), e.g., “drone” devices to capture imagery of the location and utilizing Artificial Intelligence (AI) logic modules to analyze the captured imagery.