CPC Class H04W

A method for masking content to be displayed on the electronic device is provided. The method includes receiving, by a processor in the electronic device, the content to be displayed on the electronic device, determining, by the processor, that at least one portion of the content is objectionable content based on a semantic signature of a content filter, and masking, by the processor, the at least one portion of the content displayed on the electronic device based on the detection.

Embodiments of the invention are directed to methods, systems and devices for providing sensitive user data to a mobile device using an encryption key. For example, a mobile application on a mobile device may receive encrypted sensitive user data from a mobile application server, where the user sensitive data is encrypted with a key from a token server computer. The mobile application may then request that the encrypted payment information be sent to the token server. The mobile device may then receive a payment token associated with the payment information from the token server.

A location based situation awareness system comprises: an antenna located on the processing machine, the antenna is configured to generate a wireless field; an interrogator coupled to the antenna; an identification tag located on the mobile device, the interrogator is configured to scan the identification tag in the wireless field; a data collector located on the processing machine, the data collector is configured to collect a real-time data of the processing machine; and a broker server coupled to the interrogator and the data collector, the broker server is configured to update the real-time data of the processing machine into the mobile device having the identification tag in the wireless field by a selected one of a plurality of push protocols.

An electronic device, system, and method for sending and receiving a communication relating to a beverage bottle to and from an electronic device, in which the electronic device may include a receiving portion including an aperture configured to receive a neck of a beverage container; a processor; memory; wireless communication circuitry; at least one actuator; and at least one indicator. The electronic device may be configured to attach to the neck of the beverage container via the receiving portion. The wireless communication circuitry may be configured to receive a wireless communication. The processor may be configured to activate the at least one indicator in response to the communication.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training and deploying machine-learned identification of radio frequency (RF) signals. One of the methods includes: determining an RF signal configured to be transmitted through an RF band of a communication medium; determining first classification information that is associated with the RF signal, and that includes a representation of a characteristic of the RF signal or a characteristic of an environment in which the RF signal is communicated; using at least one machine-learning network to process the RF signal and generate second classification information as a prediction of the first classification information; calculating a measure of distance between (i) the second classification information that was generated by the at least one machine-learning network, and (ii) the first classification information associated with the RF signal; and updating the at least one machine-learning network based on the measure of distance.

A system and method for location centric activity leveraging convergence control of vectors having both a time and space domain. Additionally, the system executes the control of mobile and dynamic resources by controlling the dispatch of primary tasks with intermediate secondary tasks to enhance system efficiency and effectiveness. The location convergence of multiple mobile resources is vital to the realization of high-accuracy location determination and therefore high-accuracy inference and contextual relevance.