Abstract: Example embodiments are directed to providing periodic vertiport usage and capacity data exchange. A cloud service system generates, based on historical data, a flight operation set that comprises a simulation of flight operations for time buckets in the future, where the simulation of flight operations include transportation services between vertiports. The system then receives, within a predetermined time period of the time buckets, real-time data including weather forecasts and actual demand for transportation services. The real-time data is analyzed to determine any deviations from the flight operation set for the time buckets. The system then presents the flight operation set including any deviations. Additionally, the system receives, after the time buckets has passed, real-time data indicating actual flight operations, compares the real-time data to the flight operation set to identify deltas, and provides the deltas as feedback to refine the generating of future flight operation sets.

Abstract: Smart fans are described that can be used in any application in which a flow of a fluid, such as air, is required. In two specific applications, one or more of the fans can be used to conduct a blower door test or a duct leakage test. However, the smart fans described herein can be used in other applications.

Abstract: Example embodiments are directed to systems and methods for providing cloud service to an onboard aerial vehicle system, A cloud service system accesses a flight related data. Using the flight related data, the cloud service system generates flight operations in a format of an avionics system on an aerial vehicle. A communication link is established over a communication network between the cloud service system and the aerial vehicle and the generated flight operations is transmitted to the aerial vehicle as digital data sent as data packets. The cloud service system then monitors, in real time, the aerial vehicle during a flight, wherein the monitoring comprises receiving and storing in-flight data from the aerial vehicle and the in-flight data is data reconstructed from a plurality of data packets received from the aerial vehicle. The cloud service system determines, based on the received in-flight data, whether to update the flight operations.

Abstract: A method of tracking flash memory in a storage system is provided. The method includes initializing a bad blocks threshold value and marking one or more planes or logical unit numbers (LUNs) of flash memory as bad, responsive to determining that bad blocks in the one or more planes or LUNs meet the bad blocks threshold value. The method includes adjusting the bad blocks threshold value, responsive to exceeding a threshold number or rate of retiring planes or LUNs of flash memory, and repeating the marking and the adjusting, with the bad blocks threshold value capped at a maximum threshold value.

Abstract: A method of tracking flash memory in a storage system is provided. The method includes initializing a bad blocks threshold value and marking one or more planes or logical unit numbers (LUNs) of flash memory as bad, responsive to determining that bad blocks in the one or more planes or LUNs meet the bad blocks threshold value. The method includes adjusting the bad blocks threshold value, responsive to exceeding a threshold number or rate of retiring planes or LUNs of flash memory, and repeating the marking and the adjusting, with the bad blocks threshold value capped at a maximum threshold value.

Abstract: Example embodiments are directed to generating an optimized network of flight paths and an operations volume around each of these flight paths. A network system creates a source network of paths, whereby the source network comprises a set of possible paths between two locations. The network system assigns a cost for traversing each edge of each path of the source network and aggregates the cost for traversing each edge of each path to obtain a cost for each path of the source network. Based on the cost for each path, the network system identifies a path having the lowest cost, whereby the path having the lowest cost is the optimized route between the two locations. The network system then generates an operations volume for the optimized route. The operations volume represents airspace surrounding the optimized route. The operations volume is transmitted to a further system for use.

Abstract: Smart fans are described that can be used in any application in which a flow of a fluid, such as air, is required. In one application, a blower door panel is provided that may include a fan or smart fan. The blower door panel includes an air impermeable membrane and a frame secured to the air impermeable membrane. The frame includes a plurality of frame members, and at least one of the frame members includes a first frame portion and a second frame portion, in which the first frame portion and the second frame portion are slidably attached to each other to allow the first frame portion and the second frame portion to longitudinally slide relative to one another between a collapsed configuration. The frame member includes a one-way self-locking length controller that selectively controls relative longitudinal movements between the first frame portion and the second frame portion.

Abstract: Example embodiments are directed to generating an optimized network of flight paths and an operations volume around each of these flight paths. A network system creates a source network of paths, whereby the source network comprises a set of possible paths between two locations. The network system assigns a cost for traversing each edge of each path of the source network and aggregates the cost for traversing each edge of each path to obtain a cost for each path of the source network. Based on the cost for each path, the network system identifies a path having the lowest cost, whereby the path having the lowest cost is the optimized route between the two locations. The network system then generates an operations volume for the optimized route. The operations volume represents airspace surrounding the optimized route. The operations volume is transmitted to a further system for use.

Abstract: Systems and methods for battery-based aircraft performance are provided. An example computer-implemented method includes accessing, by a computing system, flight plan data for a first flight. Based on the flight plan data, the computing system can compute a first expected power demand on the aircraft's battery system for the first flight. The computing system can access initial battery state data of the aircraft. The computing system can compute, using a battery model, a first capability output based the first expected power demand and the initial battery state. The first capability output can be indicative of a range/ToF of the aircraft for the first flight. The computing system can determine an ability of the aircraft to perform the first flight based on the first capability output and generate an itinerary accordingly. The computing system can transmit, over a network, instructions associated with implementing the itinerary for performance by the aircraft.

Abstract: Smart fans are described that can be used in any application in which a flow of a fluid, such as air, is required. In two specific applications, one or more of the fans can be used to conduct a blower door test or a duct leakage test. However, the smart fans described herein can be used in other applications.

Abstract: A method provides a supply current (303) for high-voltage consumers (114), in which a battery-electric vehicle has a charging power unit with a high-voltage intermediate circuit (110) for charging a high-voltage battery (102). The high-voltage intermediate circuit (110) includes a high-capacity charging device (106), at least one bi-directional power output stage (112a, 112b) having a connection to the high-voltage battery (102), and at least one high-voltage consumer (114). The high-voltage intermediate circuit (110) has a high intermediate circuit capacity at least through the charging device (106). The bi-directional power output stage (112, 112b) is actuated with a pulse width modulation, and, through the at least one bi-directional power output stage (112a, 112b), a supply current (303) is provided from the high-voltage battery (102) to the high-voltage consumer (114) via the high-voltage intermediate circuit (110). The supply current (303) is smoothed due to the high intermediate circuit capacity.

Abstract: Disclosed are embodiments for employing off board sensors to augment data used by a ground based autonomous vehicle. In some aspects, the off-board sensors may be positioned on another autonomous vehicle, such as an aerial autonomous vehicle (AAV). The disclosed embodiments determine uncertainty scores associated with ground regions. The uncertainty scores indicate a need to reimage the ground regions. An AAV may be tasked to reimage a region having a relatively high uncertainty score, depending on a cost associated with the tasking.

Abstract: Example embodiments are directed to generating an optimized network of flight paths and an operations volume around each of these flight paths. A network system creates a source network of paths, whereby the source network comprises a set of possible paths between two locations. The network system assigns a cost for traversing each edge of each path of the source network and aggregates the cost for traversing each edge of each path to obtain a cost for each path of the source network. Based on the cost for each path, the network system identifies a path having the lowest cost, whereby the path having the lowest cost is the optimized route between the two locations. The network system then generates an operations volume for the optimized route. The operations volume represents airspace surrounding the optimized route. The operations volume is transmitted to a further system for use.

Abstract: A method of failure detection in a storage system is performed by the storage system. The method includes detecting a failure in a nonvolatile random access memory device that is in or coupled to a storage device having storage memory. The storage system has multiple NVRAM devices and multiple storage devices that have storage memory. The method includes taking a portion or all of the NVRAM device offline. Taking a portion or all of the NVRAM device offline is responsive to detecting the failure. Taking a portion or all of the NVRAM device off-line is while keeping online the storage memory of the storage device, sufficient ones of the NVRAM devices, and sufficient ones of the storage devices to provide reliable access to data and metadata in the storage system.

Abstract: Example embodiments are directed to generating an optimized network of flight paths and an operations volume around each of these flight paths. A network system creates a source network of paths, whereby the source network comprises a set of possible paths between two locations. The network system assigns a cost for traversing each edge of each path of the source network and aggregates the cost for traversing each edge of each path to obtain a cost for each path of the source network. Based on the cost for each path, the network system identifies a path having the lowest cost, whereby the path having the lowest cost is the optimized route between the two locations. The network system then generates an operations volume for the optimized route. The operations volume represents airspace surrounding the optimized route. The operations volume is transmitted to a further system for use.

Abstract: Example embodiments are directed to systems and methods for providing cloud service to an onboard aerial vehicle system, A cloud service system accesses a flight related data. Using the flight related data, the cloud service system generates flight operations in a format of an avionics system on an aerial vehicle. A communication link is established over a communication network between the cloud service system and the aerial vehicle and the generated flight operations is transmitted to the aerial vehicle as digital data sent as data packets. The cloud service system then monitors, in real time, the aerial vehicle during a flight, wherein the monitoring comprises receiving and storing in-flight data from the aerial vehicle and the in-flight data is data reconstructed from a plurality of data packets received from the aerial vehicle. The cloud service system determines, based on the received in-flight data, whether to update the flight operations.

Abstract: Example embodiments are directed to providing periodic vertiport usage and capacity data exchange, A cloud service system generates, based on historical data, a flight operation set that comprises a simulation of flight operations for time buckets in the future, where the simulation of flight operations include transportation services between vertiports. The system then receives, within a predetermined time period of the time buckets, real-time data including weather forecasts and actual demand for transportation services. The real-time data is analyzed to determine any deviations from the flight operation set for the time buckets. The system then presents the flight operation set including any deviations. Additionally, the system receives, after the time buckets has passed, real-time data indicating actual flight operations, compares the real-time data to the flight operation set to identify deltas, and provides the deltas as feedback to refine the generating of future flight operation sets.

Abstract: A method of failure detection in a storage system is performed by the storage system. The method includes detecting a failure in a nonvolatile random access memory device that is in or coupled to a storage device having storage memory. The storage system has multiple NVRAM devices and multiple storage devices that have storage memory. The method includes taking a portion or all of the NVRAM device offline. Taking a portion or all of the NVRAM device offline is responsive to detecting the failure. Taking a portion or all of the NVRAM device off-line is while keeping online the storage memory of the storage device, sufficient ones of the NVRAM devices, and sufficient ones of the storage devices to provide reliable access to data and metadata in the storage system.

Abstract: A dynamic denial of service (DDoS) mitigation system comprising a BGP address family exchange connected to at least one DDoS mitigation route reflector, and at least one DDoS mitigation route reflector being an address family identifier specific route reflector, where each DDoS mitigation route reflector advertises BGP content in a first address family to the BGP family exchange. The BGP address family exchange translates the BGP content from the first address family to a destination address family and announces the translated content to a destination route reflector, and wherein the destination address family includes a flow specification diversion route.

Abstract: Disclosed are embodiments for employing off board sensors to augment data used by a ground based autonomous vehicle. In some aspects, the off-board sensors may be positioned on another autonomous vehicle, such as an aerial autonomous vehicle (AAV). The disclosed embodiments determine uncertainty scores associated with ground regions. The uncertainty scores indicate a need to reimage the ground regions. An AAV may be tasked to reimage a region having a relatively high uncertainty score, depending on a cost associated with the tasking.