Abstract: One embodiment provides a method comprising acquiring, via one or more microphones of a device in a spatial area, a signal representing at least one echo of an ultrasound emitted via one or more loudspeakers of the device. The method further comprises applying digital signal processing to the signal to determine a signal-to-noise ratio (SNR) of the signal, and estimating one or more properties of a moving reflector in the spatial area based on the SNR of the signal.

Abstract: A method includes generating one or more graphs representing automatic content recognition (ACR) data associated with a computing device; identifying one or more paths representing at least a portion of the one or more graphs; training one or more models based on inputting the one or more paths into one or more machine-learning algorithms; producing one or more embeddings from the one or more models; and clustering the one or more embeddings to provide at least one cluster corresponding to a behavioral profile associated with the computing device.

Abstract: Software for a distributed streaming platform launches an application that runs on a streaming platform, in real time or near real time rather than offline. The application is structured as a directed acyclic graph (DAG) with instances of operators as nodes and streams as edges between nodes. The software receives an indication that a first instance of an operator is I/O bound. A stream connects the first instance of an operator to a second instance of another operator in a single container provided by the streaming platform. The software then transmits the indication to the application and receives a request to combine the first instance with the second instance into a single third instance of an operator. The software creates the third instance and re-initiates the stream using a recovery policy.

Abstract: Technologies are generally described for automatically reconnecting a security principal to cloud services through correlation of security principal identifier attributes. A new security principal for a user may be detected and automatically reconnected to the user's cloud based services. An administrator for the security domains may specify a value of a unique security principal metadata attribute for the original security principal in a customizable security principal metadata attribute in the new security principal in the same or new security domain. A secondary verification metadata attribute may optionally be specified to ensure the correct security principal is reconnected to the user's cloud based resources. The correlation between the original security principal for the user and the new security principal may be used to reconnect the user's cloud resources.

Abstract: Technologies are generally described for automatically reconnecting a security principal to cloud services through correlation of security principal identifier attributes. A new security principal for a user may be detected and automatically reconnected to the user's cloud based services. An administrator for the security domains may specify a value of a unique security principal metadata attribute for the original security principal in a customizable security principal metadata attribute in the new security principal in the same or new security domain. A secondary verification metadata attribute may optionally be specified to ensure the correct security principal is reconnected to the user's cloud based resources. The correlation between the original security principal for the user and the new security principal may be used to reconnect the user's cloud resources.