Abstract: Devices, systems, and methods for power plant facilities are disclosed herein. A power plant facility includes a gas turbine; and a power generator that generates electricity from power supplied by the gas turbine. The power plant facility can also include at least one post-combustion capture unit that generates a CO2-rich stream from the combustion products of the gas turbine; and a sequestration compression unit that compresses and conveys at least one CO2-rich stream from a post-combustion capture unit, towards a sequestration site.

Abstract: Devices, systems, and methods for liquefied natural gas production facilities are disclosed herein. A liquefied natural gas (LNG) production facility includes a liquefaction unit, a gas turbine, and a hydrogen generation unit. The liquefaction unit condenses natural gas vapor into liquefied natural gas. The hydrogen generation unit generates hydrogen. At least a portion of the hydrogen formed in the hydrogen generation unit is combusted, along with hydrocarbons, as fuel in the gas turbine.

Abstract: Devices, systems, and methods for liquefied natural gas production facilities are disclosed herein. A liquefied natural gas (LNG) production facility includes a liquefaction unit that condenses natural gas vapor into liquefied natural gas; an electric-driven compression system for the refrigerant(s) in power to the liquefaction unit; and a sequestration compression unit configured to compress and convey at least one CO2-rich stream towards a sequestration site, thereby reducing the overall emissions from the LNG facility.

Abstract: Devices, systems, and methods for liquefied natural gas production facilities are disclosed herein. A liquefied natural gas (LNG) production facility includes a liquefaction unit, a gas turbine, and a hydrogen generation unit. The liquefaction unit condenses natural gas vapor into liquefied natural gas. The hydrogen generation unit generates hydrogen. At least a portion of the hydrogen formed in the hydrogen generation unit is combusted, along with hydrocarbons, as fuel in the gas turbine.

Abstract: A method for determining an adverse vehicle event, including: sampling sensor data an onboard vehicle system coupled to an ego-vehicle; at the onboard vehicle system, extracting a set of event parameters from the sensor data, wherein the vehicle event data is associated with a vehicle event occurring within the time interval; computing a loss probability based on the set of event parameters in response to the loss probability exceeding a threshold probability, transforming the set of event parameters into insurance claim data; and automatically transmitting the insurance claim data to an endpoint, wherein the endpoint is determined based on the participant identifier.

Abstract: Devices, systems, and methods for power plant facilities are disclosed herein. A power plant facility includes a gas turbine; and a power generator that generates electricity from power supplied by the gas turbine. The power plant facility can also include at least one post-combustion capture unit that generates a CO2-rich stream from the combustion products of the gas turbine; and a sequestration compression unit that compresses and conveys at least one CO2-rich stream from a post-combustion capture unit, towards a sequestration site.

Abstract: A method for determining an adverse vehicle event, including: sampling sensor data an onboard vehicle system coupled to an ego-vehicle; at the onboard vehicle system, extracting a set of event parameters from the sensor data, wherein the vehicle event data is associated with a vehicle event occurring within the time interval; computing a loss probability based on the set of event parameters in response to the loss probability exceeding a threshold probability, transforming the set of event parameters into insurance claim data; and automatically transmitting the insurance claim data to an endpoint, wherein the endpoint is determined based on the participant identifier.

Abstract: Devices, systems, and methods for liquefied natural gas production facilities are disclosed herein. A liquefied natural gas (LNG) production facility includes a liquefaction unit and a gas turbine. The liquefaction unit condenses natural gas vapor into liquefied natural gas. Fuel to the gas turbine contains at least about 90% hydrogen by volume.

Abstract: Devices, systems, and methods for liquefied natural gas production facilities are disclosed herein. A liquefied natural gas (LNG) production facility includes a liquefaction unit that condenses natural gas vapor into liquefied natural gas; an electric-driven compression system for the refrigerant(s) in power to the liquefaction unit; and a sequestration compression unit configured to compress and convey at least one CO2-rich stream towards a sequestration site, thereby reducing the overall emissions from the LNG facility.

Abstract: A method for determining an adverse vehicle event, including: sampling sensor data an onboard vehicle system coupled to an ego-vehicle; at the onboard vehicle system, extracting a set of event parameters from the sensor data, wherein the vehicle event data is associated with a vehicle event occurring within the time interval; computing a loss probability based on the set of event parameters in response to the loss probability exceeding a threshold probability, transforming the set of event parameters into insurance claim data; and automatically transmitting the insurance claim data to an endpoint, wherein the endpoint is determined based on the participant identifier.

Abstract: Probe location candidates for parasitic extraction are identified from geometric elements on a probe layer. The probe layer is a physical layer of a layout design for a circuit design predetermined for placing one or more new probes. The probe location candidates are geometric elements on the probe layer within a boundary of an area having a predetermined size and covering an original probe location or having a distance from the original probe location less than a predetermined value. Moreover, the probe location candidates are conductively connected to the original probe location. One or more new probe locations on the probe location candidates are selected based on predetermined criteria. From the layout design, a parasitic resistance value for parasitic resistance between a geometric element representing a circuit pad or another device pin and the new one or more probe locations is extracted.

Abstract: The present invention is directed to a novel bag for storage, transportation and spread of organic matter for landscaping and gardening. The bag comprises at least two handles and a plurality of perforations for the controlled flow of organic matter. The organic matter can be mulch or composite.

Abstract: A method for determining an adverse vehicle event, including: sampling sensor data an onboard vehicle system coupled to an ego-vehicle; at the onboard vehicle system, extracting a set of event parameters from the sensor data, wherein the vehicle event data is associated with a vehicle event occurring within the time interval; computing a loss probability based on the set of event parameters in response to the loss probability exceeding a threshold probability, transforming the set of event parameters into insurance claim data; and automatically transmitting the insurance claim data to an endpoint, wherein the endpoint is determined based on the participant identifier.

Abstract: Probe location candidates for parasitic extraction are identified from geometric elements on a probe layer. The probe layer is a physical layer of a layout design for a circuit design predetermined for placing one or more new probes. The probe location candidates are geometric elements on the probe layer within a boundary of an area having a predetermined size and covering an original probe location or having a distance from the original probe location less than a predetermined value. Moreover, the probe location candidates are conductively connected to the original probe location. One or more new probe locations on the probe location candidates are selected based on predetermined criteria. From the layout design, a parasitic resistance value for parasitic resistance between a geometric element representing a circuit pad or another device pin and the new one or more probe locations is extracted.

Abstract: A method for determining an adverse vehicle event, including: sampling sensor data an onboard vehicle system coupled to an ego-vehicle; at the onboard vehicle system, extracting a set of event parameters from the sensor data, wherein the vehicle event data is associated with a vehicle event occurring within the time interval; computing a loss probability based on the set of event parameters in response to the loss probability exceeding a threshold probability, transforming the set of event parameters into insurance claim data; and automatically transmitting the insurance claim data to an endpoint, wherein the endpoint is determined based on the participant identifier.

Abstract: A method for determining event data including: sampling a first data stream within a first time window at a first sensor of an onboard vehicle system coupled to a vehicle, extracting interior activity data from the first data stream; determining an interior event based on the interior activity data; sampling a second data stream within a second time window at a second sensor of the onboard vehicle system; extracting exterior activity data from the second image stream; determining an exterior event based on the exterior activity data; correlating the exterior event and the interior event to generate combined event data; automatically classifying the combined event data to generate an event label; and automatically labeling the first time window of the first data stream and the second time window of the second data stream with the combined event label to generate labeled event data.

Abstract: A method for determining event data including: sampling a first data stream within a first time window at a first sensor of an onboard vehicle system coupled to a vehicle, extracting interior activity data from the first data stream; determining an interior event based on the interior activity data; sampling a second data stream within a second time window at a second sensor of the onboard vehicle system; extracting exterior activity data from the second image stream; determining an exterior event based on the exterior activity data; correlating the exterior event and the interior event to generate combined event data; automatically classifying the combined event data to generate an event label; and automatically labeling the first time window of the first data stream and the second time window of the second data stream with the combined event label to generate labeled event data.

Abstract: A method for determining an adverse vehicle event, including: sampling sensor data an onboard vehicle system coupled to an ego-vehicle; at the onboard vehicle system, extracting a set of event parameters from the sensor data, wherein the vehicle event data is associated with a vehicle event occurring within the time interval; computing a loss probability based on the set of event parameters in response to the loss probability exceeding a threshold probability, transforming the set of event parameters into insurance claim data; and automatically transmitting the insurance claim data to an endpoint, wherein the endpoint is determined based on the participant identifier.

Abstract: A method for determining event data including: sampling a first data stream within a first time window at a first sensor of an onboard vehicle system coupled to a vehicle, extracting interior activity data from the first data stream; determining an interior event based on the interior activity data; sampling a second data stream within a second time window at a second sensor of the onboard vehicle system; extracting exterior activity data from the second image stream; determining an exterior event based on the exterior activity data; correlating the exterior event and the interior event to generate combined event data; automatically classifying the combined event data to generate an event label; and automatically labeling the first time window of the first data stream and the second time window of the second data stream with the combined event label to generate labeled event data.