Abstract: A system is described including a mobile device that receives a user request to initiate a phone call to an entity associated with an interactive-voice-response (IVR) interface of an IVR system. The system obtains information about a hierarchy of options associated with the interactive-voice-response system and causes a graphical user interface (GUI) for navigating the hierarchy of options associated with the interactive-voice-response system to be displayed at the mobile device. The system converts user inputs associated with the GUI to inputs recognized by the IVR system and the mobile device outputs, to the entity, the converted inputs and other information required by the entity to perform an operation based on the inputs. In response, the system updates the GUI based on additional information received from the IVR system.

Abstract: A mobile device is configured to perform a method for continuing a Real-time Text (RTT) session during a handover from a first radio access network to a second radio access network. The method includes, after detecting a handover from the first radio access network to the second radio access network during the RTT session between the mobile device and another device, estimating a sequence number associated with the second radio access network after the handover and continuing the RTT session on the second radio access network based on the estimated sequence number.

Abstract: A transformable Unmanned Aerial Vehicle (UAV), can operate as a coplanar hexacopter or as an omnidirectional multirotor based on different operation modes. The UAV has 100% force efficiency for launching or landing tasks in the coplanar mode. In the omnidirectional mode, the UAV is fully actuated in the air for agile mobility in six degrees of freedom (DOFs). Models and control design are developed to characterize the motion of the transformable UAV. Simulation results are presented to validate the transformable UAV design and the enhanced UAV performance, compared with a fixed structure.

Abstract: A transformable Unmanned Aerial Vehicle (UAV), can operate as a coplanar hexacopter or as an omnidirectional multirotor based on different operation modes. The UAV has 100% force efficiency for launching or landing tasks in the coplanar mode. In the omnidirectional mode, the UAV is fully actuated in the air for agile mobility in six degrees of freedom (DOFs). Models and control design are developed to characterize the motion of the transformable UAV. Simulation results are presented to validate the transformable UAV design and the enhanced UAV performance, compared with a fixed structure.

Abstract: A transformable Unmanned Aerial Vehicle (UAV), can operate as a coplanar hexacopter or as an omnidirectional multirotor based on different operation modes. The UAV has 100% force efficiency for launching or landing tasks in the coplanar mode. In the omnidirectional mode, the UAV is fully actuated in the air for agile mobility in six degrees of freedom (DOFs). Models and control design are developed to characterize the motion of the transformable UAV. Simulation results are presented to validate the transformable UAV design and the enhanced UAV performance, compared with a fixed structure.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to label incoming phone calls. A method to label an incoming phone call includes detecting the incoming phone call associated with a caller identifier (ID), determining a location associated with the call, and analyzing a call header of the call to determine one or more call characteristics. The method further includes determining, based on the location and the call characteristics, if the location is spoofed and determining, based on the caller ID and the call characteristics, if an access network associated with the call is spoofed. The method further includes applying a trained machine learning model to determine whether the call is a robocall. The method further includes assigning a label to the call that indicates whether the call is a spoofed call or is the robocall and sending the label to a callee device associated with the call.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to label incoming phone calls. A method to label an incoming phone call includes detecting the incoming phone call associated with a caller identifier (ID), determining a location associated with the call, and analyzing a call header of the call to determine one or more call characteristics. The method further includes determining, based on the location and the call characteristics, if the location is spoofed and determining, based on the caller ID and the call characteristics, if an access network associated with the call is spoofed. The method further includes applying a trained machine learning model to determine whether the call is a robocall. The method further includes assigning a label to the call that indicates whether the call is a spoofed call or is the robocall and sending the label to a callee device associated with the call.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to label incoming phone calls. A method to label an incoming phone call includes detecting the incoming phone call associated with a caller identifier (ID), determining a location associated with the call, and analyzing a call header of the call to determine one or more call characteristics. The method further includes determining, based on the location and the call characteristics, if the location is spoofed and determining, based on the caller ID and the call characteristics, if an access network associated with the call is spoofed. The method further includes applying a trained machine learning model to determine whether the call is a robocall. The method further includes assigning a label to the call that indicates whether the call is a spoofed call or is the robocall and sending the label to a callee device associated with the call.

Abstract: A mobile device receives an invitation to commence a media session. The invitation may be from a legitimate caller or from a spoofing caller. The mobile device checks parameters using templates to evaluate a consistency of the invitation with respect to a database in the mobile device. The templates include session protocol, network topology, routing, and social templates. Specific template data includes standardized protocol parameters, values from a database of the mobile device and phonebook entries of the mobile device. Examples of the parameters include capabilities, preconditions, vendor equipment identifiers, a hop counter value and originating network information. The originating network information may be obtained from the database by first querying an on-line database to determine a network identifier associated with caller identification information in the invitation.

Abstract: Methods and apparatus are disclosed to measure mobile broadband market share. A disclosed example method involves invoking an adapter query on a computing device in response to detecting a request for Internet services, identifying a plurality of available adapters on the computing device based on the adapter query, and determining whether the computing device includes a mobile broadband service provider based on which one of the plurality of available adapters is servicing the request for Internet services.

Abstract: A system is described including a mobile device that receives a user request to initiate a phone call to an entity associated with an interactive-voice-response (IVR) interface of an IVR system. The system obtains information about a hierarchy of options associated with the interactive-voice-response system and causes a graphical user interface (GUI) for navigating the hierarchy of options associated with the interactive-voice-response system to be displayed at the mobile device. The system converts user inputs associated with the GUI to inputs recognized by the IVR system and the mobile device outputs, to the entity, the converted inputs and other information required by the entity to perform an operation based on the inputs. In response, the system updates the GUI based on additional information received from the IVR system.

Abstract: Example methods and apparatus to measure market statistics are disclosed. A disclosed example method includes identifying, by executing an instruction with a processor, a household including self reported data stored in a data source, retrieving, by executing an instruction with the processor, an Internet protocol (IP) address from the household, identifying, by executing an instruction with the processor, a hostname label based on a reverse resolve of the IP address, determining whether the hostname label matches the self reported data, with the processor, and when the hostname label matches the self reported data, correcting, by executing an instruction with the processor, an error metric of the data source by adjusting a weight value associated with the self reported data.

Abstract: Example methods and apparatus to measure market statistics are disclosed. A disclosed example method includes identifying, by executing an instruction with a processor, a household including self reported data stored in a data source, retrieving, by executing an instruction with the processor, an Internet protocol (IP) address from the household, identifying, by executing an instruction with the processor, a hostname label based on a reverse resolve of the IP address, determining whether the hostname label matches the self reported data, with the processor, and when the hostname label matches the self reported data, correcting, by executing an instruction with the processor, an error metric of the data source by adjusting a weight value associated with the self reported data.

Abstract: Methods and apparatus are disclosed to measure mobile broadband market share. A disclosed example method involves invoking an adapter query on a computing device in response to detecting a request for Internet services, identifying a plurality of available adapters on the computing device based on the adapter query, and determining whether the computing device includes a mobile broadband service provider based on which one of the plurality of available adapters is servicing the request for Internet services.

Abstract: A mobile device receives an invitation to commence a media session. The invitation may be from a legitimate caller or from a spoofing caller. The mobile device checks parameters using templates to evaluate a consistency of the invitation with respect to a database in the mobile device. The templates include session protocol, network topology, routing, and social templates. Specific template data includes standardized protocol parameters, values from a database of the mobile device and phonebook entries of the mobile device. Examples of the parameters include capabilities, preconditions, vendor equipment identifiers, a hop counter value and originating network information. The originating network information may be obtained from the database by first querying an on-line database to determine a network identifier associated with caller identification information in the invitation.

Abstract: Example methods and apparatus to measure market statistics are disclosed. A disclosed example method includes identifying, by executing an instruction with a processor, a household including self reported data stored in a data source, retrieving, by executing an instruction with the processor, an Internet protocol (IP) address from the household, identifying, by executing an instruction with the processor, a hostname label based on a reverse resolve of the IP address, determining whether the hostname label matches the self reported data, with the processor, and when the hostname label matches the self reported data, correcting, by executing an instruction with the processor, an error metric of the data source by adjusting a weight value associated with the self reported data.

Abstract: Example methods and apparatus to collect broadband market data are disclosed. A disclosed example method includes selecting a panelist household, the panelist household subscribing to at least one broadband service delivered via a modem, and identifying an Internet protocol (IP) address assigned to the modem by an Internet service provider (ISP). The example method also includes retrieving a range of IP addresses associated with the ISP, selecting a random subset of IP addresses from the range of IP addresses, and testing each of the IP addresses from the random subset to determine an activity status of each IP address.

Abstract: Example methods and apparatus to measure market statistics are disclosed. A disclosed example method includes retrieving a service penetration value from a managed data source, retrieving an Internet protocol (IP) address from a convenience data source, and identifying a household identification number associated with the retrieved IP address. The example method also includes retrieving household data associated with the household identification number, verifying a service provider name provided by the convenience data source, and adjusting a weight value of the retrieved household data when the service provider name provided by the convenience data source is different than a current service provider name. Additionally, the example method includes calculating service provider flow share based on the adjusted weight value and the service penetration value, and generating a report including the calculated service provider flow share.

Abstract: Methods and apparatus are disclosed to measure mobile broadband market share. A disclosed example method involves invoking an adapter query on a computing device in response to detecting a request for Internet services, identifying a plurality of available adapters on the computing device based on the adapter query, and determining whether the computing device includes a mobile broadband service provider based on which one of the plurality of available adapters is servicing the request for Internet services.

Abstract: Methods and apparatus are disclosed to measure mobile broadband market share. A disclosed example method involves receiving first information indicative of a first network interface device used at a first time, receiving second information indicative of a first Internet protocol (IP) address used at the first time, and identifying an instance of mobile broadband data card Internet access when the first network interface device is a broadband data card and the first IP address is associated with a first broadband Internet service provider (ISP).