Autonomous optimization of intra-train communication network

A system for dynamically adjusting a configuration of an intra-train communication network includes an electronic device and a computer-readable storage medium. The computer-readable storage medium has one or more programming instructions that, when executed, cause the electronic device to receive one or more parameters values associated with a train consist, determine whether a potentially adverse condition that would affect intra-train communication for the train consist is anticipated based on at least a portion of the received parameters, in response to determining that the potentially adverse condition is anticipated, identify one or more updated network parameter settings that will assist in maintaining intra-train communication of the train consist during an occurrence of the potentially adverse condition by executing a machine learning model, and implement the identified one or more updated network parameter settings.

Machine learning techniques for automated software testing configuration management

Various embodiments are directed to performing automated software testing configuration management operations. In one embodiment, a method is provided. The method includes generating a graph data structure including nodes representing test steps across test cases of a software testing data object for a software application platform and including segments each connecting two nodes and representing test cases having the two represented test steps. The method further includes receiving a query describing a testing change and generating extracted features from the query. The method further includes generating test outcome requirements and graph portions of the graph data structure relevant to the testing change using supervised machine learning models and the extracted features. The method further includes generating, in response to the query, an updated graph data structure and a change report indicating the relevant test outcome requirements and performing prediction-based actions using the updated graph data structure and the change report.

Method of rendering using a display device

One embodiment is directed to a system for enabling two or more users to interact within a virtual world comprising virtual world data, comprising a computer network comprising one or more computing devices, the one or more computing devices comprising memory, processing circuitry, and software stored at least in part in the memory and executable by the processing circuitry to process at least a portion of the virtual world data; wherein at least a first portion of the virtual world data originates from a first user virtual world local to a first user, and wherein the computer network is operable to transmit the first portion to a user device for presentation to a second user, such that the second user may experience the first portion from the location of the second user, such that aspects of the first user virtual world are effectively passed to the second user.

Systems, methods, and devices for unmanned vehicle detection

Systems, methods, and apparatus for detecting UAVs in an RF environment are disclosed. An apparatus is constructed and configured for network communication with at least one camera. The at least one camera captures images of the RF environment and transmits video data to the apparatus. The apparatus receives RF data and generates FFT data based on the RF data, identifies at least one signal based on a first derivative and a second derivative of the FFT data, measures a direction from which the at least one signal is transmitted, analyzes the video data. The apparatus then identifies at least one UAV to which the at least one signal is related based on the analyzed video data, the RF data, and the direction from which the at least one signal is transmitted, and controls the at least one camera based on the analyzed video data.

Method and Apparatus for Using a Probe UE to Measure Interference Using Dynamic Time Division Duplex (TDD) Configuration

A probe device and method for measuring TDD interference from neighboring networks in an Enterprise Network (EN). The probe device is situated on a campus of an EN in a position for measuring TDD interference between a neighboring wireless network. The probe device measures TDD interference data and provides it to an Enterprise Network and Orchestrator, which determines the TDD configuration used by neighboring networks, and can take action to mitigate or resolve interference effects from neighboring networks. The probe UE has a TDD measurement unit that may include an SIB Measurement unit for receiving broadcast SIBs signals from neighboring networks, a UL SINR Measurement Unit, a DL SINR Measurement Unit, and a UL RSSI Measurement Unit. The probe device may be positioned in a fixed location in an Enterprise Network campus, and connected to an external power supply.

STAIR-CLIMBING MACHINES, SYSTEMS INCLUDING STAIR-CLIMBING MACHINES, AND METHODS FOR USING STAIR-CLIMBING MACHINES TO PERFORM TREATMENT PLANS FOR REHABILITATION

A computer-implemented system may include a stair-climbing machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and processing structure configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac-related event; generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability that a cardiac intervention will occur; and transmit the treatment plan to cause the stair-climbing machine to implement the one or more exercises.

Systems, methods, and devices for electronic spectrum management

Methods for tracking a signal origin by a spectrum analysis and management device are disclosed. Signal characteristics of other known emitters are used for obtaining a position of an emitter of a signal of interest. In one embodiment, frequency difference of arrival technique is implemented. In another embodiment, time difference of arrival technique is implemented.

SHARED SPECTRUM RESOURCE ALLOCATION IN OPEN RADIO ACCESS NETWORKS

Wireless communications systems and methods related to communicating control information are provided. A method of wireless communication performed by a wireless node may include receiving, from a network node of a first network operator, a first consideration for shared spectrum resources, receiving, from a network node of a second network operator, a second consideration for the shared spectrum resources, and transmitting an indication of a resource allocation to at least one of the network node of the first network operator or the network node of the second network operator. The resource allocation for the shared spectrum resources may be based on the first consideration and the second consideration.

APPARATUS AND METHODS FOR RECEIVING DISCHARGED URINE

A system suitable for collecting and transporting urine away from the body of a person or animal may include an assembly having a fluid impermeable casing having a fluid reservoir at a first end, a fluid outlet at a second end, and a longitudinally extending fluid impermeable layer coupled to the fluid reservoir and the fluid outlet and defining a longitudinally elongated opening between the reservoir and the outlet. The assembly can further include a fluid permeable support disposed within the casing with a portion extending across the elongated opening, and a fluid permeable membrane disposed on the support and covering at least the portion of the support that extends across the elongated opening, so that the membrane is supported on the support and disposed across the elongated opening. The assembly can further include a tube having a first end disposed in the reservoir and a second, fluid discharge end.

DISTINGUISHING USER-INITIATED ACTIVITY FROM APPLICATION-INITIATED ACTIVITY

Distinguishing user-initiated activity from application-initiated activity, including: gathering first information generated by a browser extension of a browser executed on a user device, wherein the first information describes activity associated with the browser; gathering second information generated by a client application executed on the user device, wherein the second information describes activity associated with the user device; and determining whether a user has deviated from normal activity by determining, based on the first information, whether at least a portion of the activity described in the second information comprises user-initiated activity or browser-initiated activity.