Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently dispatching vehicles to a vehicle service center to progress vehicles at a predefined rate through sequential stations of the vehicle service center. The disclosed systems can analyze services associated with vehicles. Based on the services, the disclosed systems can determine how to order, within a virtual queue, vehicles corresponding to the services. For example, the disclosed systems can predict a complexity associated with a service for a vehicle, and in turn, determine whether adding the vehicle to the service queue will allow the vehicle to move through a set of sequential stations in accordance with the predefined progression rate. In response, the disclosed systems can dispatch the vehicle, refrain from dispatching the vehicle, or otherwise dynamically respond to enable the vehicle to move through the set of sequential stations in accordance with the predefined progression rate.

Abstract: There is provided an electrical power system comprising: a DC voltage source, a DC electrical network, a DC to AC to DC converter having a primary side connected to the DC voltage source and a secondary side connected to the DC electrical network, and a controller configured to control the DC to AC to DC converter, wherein the controller is configured to: monitor an electrical current or voltage between the DC voltage source and the DC electrical network; determine, based on the monitored electrical current or voltage, whether the DC electrical network is in a fault condition; and increase a switching frequency of the primary side of the DC to AC to DC converter in response to a positive determination that the DC electrical network is in a fault condition.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently dispatching vehicles to a vehicle service center to progress vehicles at a predefined rate through sequential stations of the vehicle service center. The disclosed systems can analyze services associated with vehicles. Based on the services, the disclosed systems can determine how to order, within a virtual queue, vehicles corresponding to the services. For example, the disclosed systems can predict a complexity associated with a service for a vehicle, and in turn, determine whether adding the vehicle to the service queue will allow the vehicle to move through a set of sequential stations in accordance with the predefined progression rate. In response, the disclosed systems can dispatch the vehicle, refrain from dispatching the vehicle, or otherwise dynamically respond to enable the vehicle to move through the set of sequential stations in accordance with the predefined progression rate.

Abstract: A gas turbine engine for an aircraft comprises, in axial flow sequence, a compressor module, a combustor module, and a turbine module, with a first electric machine being rotationally connected to the turbine module. The first electrical machine is configured to generate a maximum electrical power PEM1 (W), and the gas turbine engine is configured to generate a maximum dry thrust T (N); and a ratio S of: S = ( Maximum ? Electrical ? Power ? Generated = P E ? M ? 1 ) ( Maximum ? Dry ? Thrust = T ) is in a range of between 2.0 and 10.0.

Abstract: Provided herein are methods and systems for improved core sample analysis. At least one image of a core sample may be analyzed to determine structural data associated with the core sample (e.g., attributes of the core sample). A machine learning model may analyze the at least one image and determine one or more attributes associated with the core sample. An output image may be generated. The output image may be indicative of the one or more attributes associated with the core sample.

Abstract: Multi-engine aircraft power and propulsion systems and methods of restarting an engine of a multi-engine aircraft during fight are provided. One such method comprises: determining a condition to the effect that a flame in the combustion equipment of the second gas turbine engine has been extinguished; responsive to the determination, supplying electrical power from the electrical energy storage system to one or more of the electric machines of the second gas turbine engine and operating said one or more electric machines as motors to limit a reduction in a speed of the one or more spools of the second gas turbine engine following extinguishment of the flame in its combustion equipment; and restarting the second gas turbine engine by relighting the combustion equipment of the second gas turbine engine.

Abstract: In one embodiment, a method includes receiving a ride request from a user computing device associated with a user, wherein the ride request requests a user pick-up at a geographic location, determining one or more preferred items of the user, identifying, from a group of vehicles located in the geographic location, a vehicle that comprises an in-vehicle vending apparatus with an inventory that includes one or more of the preferred items of the user, and sending an instruction to a computing device of the vehicle for traveling to the geographic location for the user pick-up.

Abstract: An aircraft gas turbine engine includes a heat exchanger module, and a core engine. The core engine includes an intermediate-pressure compressor, high-pressure compressor, and high and low-pressure turbines. The high-pressure compressor rotationally connects to the high-pressure turbine by a first shaft, and the intermediate-pressure compressor rotationally connects to the low-pressure turbine by a second shaft. The heat exchanger module fluidly communicates with the core engine by an inlet duct. The heat exchanger module includes a central hub and multiple heat transfer elements extending radially from the hub and spaced in a circumferential array, for heat energy transfer from a first fluid within the elements to an inlet airflow passing over a surface of the elements prior to airflow entry into an inlet to the core engine. The gas turbine engine further includes a first electric machine rotationally connected to the first shaft, and positioned downstream of the heat exchanger module.

Abstract: The disclosure relates to an electrical power system for providing a stabilised DC voltage to a power bus. Example embodiments include an electrical power system comprising: a DC power bus having first and second DC power bus terminals; an electrical storage unit having first and second terminals, the second terminal connected to the second DC power bus terminal; a DC:DC converter having first and second DC:AC converters and a transformer connected between the first and second DC:AC converters, the first DC:AC converter connected between the first terminal of the electrical storage unit and the first DC power bus terminal; and a controller connected to control a switching operation of one or both of the first and second DC:AC converters.

Abstract: An electrical power system including: an electrical power source, a power electronics converter, an electrical network, a current limiting diode and a controllable circuit interruption device, wherein: the current limiting diode is configured to limit a fault current passing between the electrical power source and the electrical network in a fault condition; and the controllable circuit interruption device is configured to interrupt the fault current in response to a determination that the electrical power system is in the fault condition.

Abstract: Provided herein are methods and systems for improved core sample analysis. At least one image of a core sample may be analyzed to determine structural data associated with the core sample (e.g., attributes of the core sample). A machine learning model may analyze the at least one image and determine one or more attributes associated with the core sample. The machine learning model may generate a segmentation mask. An output image may be generated. A user may interact with the output image and provide one or more user edits. The one or more user edits may be provided to the machine learning model for optimization thereof.

Abstract: Provided herein are methods and systems for improved core sample analysis. At least one image of a core sample may be analyzed to determine structural data associated with the core sample (e.g., attributes of the core sample). A machine learning model may analyze the at least one image and determine one or more attributes associated with the core sample. The machine learning model may generate a segmentation mask. An output image may be generated. A user may interact with the output image and provide one or more user edits. The one or more user edits may be provided to the machine learning model for optimization thereof.

Abstract: In one embodiment, a method includes receiving a request from a user computing device associated with a user for one or more items from an in-vehicle vending apparatus during a ride. The method also includes sending information associated with the user to start a vending session using the in-vehicle vending apparatus. The method also includes receiving an indication that the user associated with the user computer device accessed the in-vehicle vending apparatus. The method also includes determining that the user associated with the user computing device is the only user associated with the ride, determining that the user associated with the user computing device is one of a plurality of users associated with the ride, or determining that the user associated with the user computing device is associated with the in-vehicle vending apparatus.

Abstract: A battery case for housing a battery and a method of fabricating such a battery case are provided. The battery case may be a battery case for an aircraft. The battery case comprises an enclosure having a cavity for housing the battery. An internal surface of the enclosure facing the cavity includes a protective lining comprising cork and a phenolic binder.

Abstract: In one embodiment, a method includes initiating a vending session using an in-vehicle vending apparatus to provide a user access to one or more items, the vending session being initiated by determining that the user is associated with a ride. The method also includes determining that the vending session has ended, which may be determined by determining that the in-vehicle vending apparatus is closed, and determining the one or more items that were taken by the user. The method also includes identifying one or more items taken from the in-vehicle vending apparatus during the vending session based on sensor data from the in-vehicle apparatus. The method also includes sending a confirmation of the one or more items taken to the user.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently dispatching vehicles to a vehicle service center to progress vehicles at a predefined rate through sequential stations of the vehicle service center. The disclosed systems can analyze services associated with vehicles. Based on the services, the disclosed systems can determine how to order, within a virtual queue, vehicles corresponding to the services. For example, the disclosed systems can predict a complexity associated with a service for a vehicle, and in turn, determine whether adding the vehicle to the service queue will allow the vehicle to move through a set of sequential stations in accordance with the predefined progression rate. In response, the disclosed systems can dispatch the vehicle, refrain from dispatching the vehicle, or otherwise dynamically respond to enable the vehicle to move through the set of sequential stations in accordance with the predefined progression rate.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently and dynamically managing a vehicle service center. For example, a vehicle service system analyzes information associated with vehicles scheduled for service at a vehicle service center comprising a set of sequential stations. Based on the analyzed information, the vehicle service system can determine an allocation of tasks and an allocation of resources for each station. In turn, the disclosed systems can customize, for display on display devices within the vehicle service center, task allocation user interfaces in accordance with a task allocation. Further, the vehicle service system can monitor a completion progress for the task allocation and, based on the completion progress, generate an adjusted task allocation for the given stage of progression.

Abstract: In one embodiment, a method includes receiving a request from a user computing device associated with a user for one or more items from an in-vehicle vending apparatus during a ride. The method also includes sending information associated with the user to start a vending session using the in-vehicle vending apparatus. The method also includes receiving an indication that the user associated with the user computer device accessed the in-vehicle vending apparatus. The method also includes determining that the user associated with the user computing device is the only user associated with the ride, determining that the user associated with the user computing device is one of a plurality of users associated with the ride, or determining that the user associated with the user computing device is associated with the in-vehicle vending apparatus.

Abstract: In one embodiment, a method includes receiving a request from a user computing device associated with a user for one or more items from an in-vehicle vending apparatus during a ride. The method also includes sending information associated with the user to start a vending session using the in-vehicle vending apparatus. The method also includes receiving an indication that the user associated with the user computer device accessed the in-vehicle vending apparatus. The method also includes determining that the user associated with the user computing device is the only user associated with the ride, determining that the user associated with the user computing device is one of a plurality of users associated with the ride, or determining that the user associated with the user computing device is associated with the in-vehicle vending apparatus.

Abstract: In one embodiment, a method includes receiving a request from a user computing device associated with a user for one or more items from an in-vehicle vending apparatus during a ride. The method also includes sending information associated with the user to start a vending session using the in-vehicle vending apparatus. The method also includes receiving an indication that the user associated with the user computer device accessed the in-vehicle vending apparatus. The method also includes determining that the user associated with the user computing device is the only user associated with the ride, determining that the user associated with the user computing device is one of a plurality of users associated with the ride, or determining that the user associated with the user computing device is associated with the in-vehicle vending apparatus.