Abstract: To monitor hydraulic fracturing operations, an acoustic insulation tool acoustically insulates a wellhead installed at a surface of a wellbore. Multiple acoustic sensors attached to the wellhead sense acoustic signals generated responsive to operation of hydraulic fracturing components. The components perform hydraulic fracturing operations within the wellbore. The acoustic insulation tool acoustically insulates the wellhead from acoustic signals generated by sources other than the hydraulic fracturing components. The multiple acoustic sensors transmit the sensed acoustic signals to a computer system. Using the received acoustic signals, the computer system monitors the hydraulic fracturing operations performed within the wellbore.

Abstract: A device may receive, from a client device, a request with a single packet authorization (SPA) packet that includes data identifying a universal client device identifier. The device may generate a shared key associated with the universal client device identifier, and may determine that the SPA packet matches a comparison message authentication code (MAC) generated based on the shared key. The device may provide, based on the SPA packet matching the comparison MAC, a MAC associated with the SPA packet to the client device to enable the client device to validate the device.

Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing roles of a distributed networked enterprise computing environment. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize role graphs to assess the role structure of a distributed enterprise computing environment.

Abstract: A customizable router manages traffic between application programming interfaces (APIs) of microservice applications (apps) that make up various features of a website. Various datastores may also be used to store information, such as information related to certain products, pricing, users, etc. In order for the website to function properly, the microservice apps communicate with one another and with the datastores. The customizable router is used to manage and route traffic between the microservice apps and/or datastores. The customizable router may, for example, route a universal resource indicator (URI) request for a webpage of a website to particular versions or revisions of a microservice app based on rules established for the customizable router. For example, a certain percentage of traffic may be routed to a first version of a microservice app, while a different percentage of traffic may be routed to a second version of the microservice app.

Abstract: Technologies disclosed herein facilitate identification of a trip route from an origin of a user to a desired destination of the user, wherein the trip route includes multiple transportation modalities, at least one of which is an autonomous vehicle (AV), and dispatching of the AV to a pickup location for the user in connection with providing transportation to the user along a portion of the identified trip route.

Abstract: Systems and methods for embodiments of graph based and machine learning artificial intelligence systems for generating access item recommendations in an identity management system are disclosed. Embodiments of the identity management systems disclosed herein may utilize a graph based approach, a machine learning based approach, and hybrid combinations thereof for generating access item recommendations.

Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing identities or entitlements of a distributed networked enterprise computing environment. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize the peer grouping of an identity graph (or peer grouping of portions or subgraphs thereof) to identify roles from peer groups or the like.

Abstract: A wireless transceiver circuit with an impedance matching network within an integrated circuit is disclosed. In some embodiments, the impedance matching network utilizes an inductor, having two portions, disposed on two different metal layers of the integrated circuit. The first end of the first portion of the inductor is in communication with an antenna. The second end of the second portion is in communication with a low noise amplifier for receiving signals and a power amplifier for transmitting RF signals. The second end of the first portion is connected to the first end of the second portion using a via. In another embodiment, the two portions are disposed on the same metal layer, wherein one portion is disposed within the other with a gap separating the two portions. These configurations require less space than using two separate inductors and also have a low coupling coefficient.

Abstract: A wireless transceiver circuit with an impedance matching network within an integrated circuit is disclosed. In some embodiments, the impedance matching network utilizes an inductor, having two portions, disposed on two different metal layers of the integrated circuit. The first end of the first portion of the inductor is in communication with an antenna. The second end of the second portion is in communication with a low noise amplifier for receiving signals and a power amplifier for transmitting RF signals. The second end of the first portion is connected to the first end of the second portion using a via. In another embodiment, the two portions are disposed on the same metal layer, wherein one portion is disposed within the other with a gap separating the two portions. These configurations require less space than using two separate inductors and also have a low coupling coefficient.

Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize artificial intelligence approaches for determining health indicators for the identity management state of an enterprise. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize one or more components to generate signals associated with the identity management state of an enterprise based on a network identity graph and evaluate feature spaces of these input signals from these components based on a global objective function or the like.

Abstract: A system includes one or more sensors to detect unintended forward and reverse rotation of rotating machinery. The system also includes a monitoring system consisting of a processor, memory, display and communication interface. The processor receives signals from the sensors. The processor determines unintended rotation when the pattern of received signals match with the conditions defined in the processor. The processor generates a notification signal of “Unintended Rotation” on the display. The notification signal is also sent to the operator workstation to alert the operating personnel. The notification history is also stored in the system memory. The system is also configured to initiate automatic action to stop the unintended rotation and protect the machinery components from unintended rotation. The action may include closing the suction and discharge valve and starting the lubrication system to lube the bearings of the rotating machinery and the motor.

Abstract: Systems and methods for embodiments of artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may support the correlation of identities from authoritative source systems and accounts from non-authoritative source systems using artificial intelligence techniques.

Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing identities or entitlements of a distributed networked enterprise computing environment. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize the peer grouping of an identity graph (or peer grouping of portions or subgraphs thereof) to identify roles from peer groups or the like.

Abstract: Systems and methods for embodiments of a graph based artificial intelligence systems for identity management are disclosed. Embodiments of the identity management systems disclosed herein may utilize a network graph approach to analyzing roles of a distributed networked enterprise computing environment. Specifically, in certain embodiments, an artificial intelligence based identity management systems may utilize role graphs to assess the role structure of a distributed enterprise computing environment.

Abstract: A method for identifying aircraft faults, comprising: receiving a dataset comprising a plurality of low priority messages and a plurality of high priority messages, each low priority message identifying a minor aircraft fault and each high priority message identifying a major aircraft fault; for each low priority message, generating an embedding vector which maps the low priority message in an embedding space; for each high priority message, generating an embedding vector which maps the high priority message in the embedding space; providing, to a machine learning unit, the embedding vector for each low priority message of the plurality of low priority messages and the embedding vector for each high priority message of the plurality of high priority messages; and obtaining, from the machine learning unit, a probability of a target high priority message occurring based on each low priority message of the plurality of low priority messages.

Abstract: Technologies disclosed herein facilitate identification of a trip route from an origin of a user to a desired destination of the user, wherein the trip route includes multiple transportation modalities, at least one of which is an autonomous vehicle (AV), and dispatching of the AV to a pickup location for the user in connection with providing transportation to the user along a portion of the identified trip route.

Abstract: Systems and methods for artificial intelligence systems for identity management systems are disclosed. Embodiments may perform outlier detection and risk assessment based on identity management data, including one or more property graphs or peer groups determined from those property graphs, to determine identity management artifacts with ‘abnormal’ patterns when compared to other related identity management artifacts.

Abstract: Technology to provide link aware streaming adaptation is disclosed. In an example, a mobile device can include one or more processors configured to: process a manifest file for an HTTP adaptive stream that is received at the mobile device from a node; determine a physical layer goodput of the mobile device with the node for the HAS; identify a segment throughput estimate for the HAS; and select a representation in the manifest file for a selected period based, on the physical layer goodput for the HAS and the segment throughput for the HAS.

Abstract: A microservice node can store first raw satellite data, associated with a first satellite constellation, in a first electronic file in a first data store, can combine the first electronic file and one or more second electronic files, associated with the first satellite constellation, into a first compressed electronic file, and can store the first compressed electronic file in a second data store. The first raw satellite data and second raw satellite data can be received during a particular time period. The second data store can include a second compressed electronic file that includes third raw satellite data associated with a second satellite constellation. The microservice node can receive a request from a client device, can combine the first compressed electronic file and the second compressed electronic file into a third compressed electronic file based on the request, and can transmit the third compressed electronic file to the client device.