Abstract: By analyzing the apps on a portable computing device 500, the communication modes used by the portable computing devices 500 and the communication requirements of the apps at a given time, an ideal communication mode given a certain mix of apps operating on a portable computing device 500 at a given point in time may be determined.

Abstract: Described herein are techniques for implementing intelligent network slicing. Such techniques may include receiving data usage information associated with at least one user and generating, using the data usage information, a predicted usage model for the at least one user. Upon identifying an upcoming predicted usage event from the predicted usage model, the techniques may further include determining a current status of a core network and upon determining, based on the current status of the core network, that the core network is inadequate to handle the upcoming predicted usage event, instantiating a new network slice within the core network configured to handle the upcoming predicted usage event. Upon identifying network traffic associated with the upcoming predicted usage event, the techniques comprise routing that network traffic through the new network slice.

Abstract: Techniques for controlling software over-the-air (OTA) updates based on SIM eligibility for a device are discussed herein. The device may include a 5G SA capable device with 5G features that may not be enabled yet. To enable support for a new 5G feature, the system may update the SIM profile on the SIM card to indicate infrastructure support and the firmware to enable function calls for the new 5G feature. However, the SIM profile has to include infrastructure support before enabling function calls for the new 5G feature; otherwise, an incorrect firmware update may cause the device to cease functioning. The present system may include OTA components on a device server to connect with a network API on the carrier server and perform SIM profile checks before transmitting firmware updates to an OTA agent on the device.

Abstract: Techniques for automatically selecting device tests for testing devices configured for operation in wireless communication networks, based upon maintenance releases (MRs) received from original equipment manufacturers. When an MR with changes for a device is received, the MR may be analyzed in order to determine what the changes pertain to with respect to the device. The changes may be clustered with respect to requirements for the changes and a knowledge base may be consulted by a recommendation engine in order to determine candidate tests for testing the MR. The candidate tests may be based upon previous tests, failed tests and, relevant tests. Based at least in part on the identified previous tests, failed tests and relevant tests, one or more tests may be selected for testing devices with respect to the newly received MR.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a network feature tester are disclosed. In one aspect, a method includes the actions of selecting computing devices that are configured to communicate with a wireless carrier network based on the computing devices having a common characteristic. The actions further include identifying a subset of the computing devices that are likely to communicate with a same base station of the wireless carrier network during a first period of time and a second period of time. The actions further include determining first monitoring data during the first period of time. The actions further include adjusting a characteristic of the same base station. The actions further include determining second monitoring data during the second period of time. The actions further include determining an effect that adjusting the characteristic has on the wireless carrier network.

Abstract: Described herein are techniques that may be used to automate testing of services on mobile devices using visual analysis. In some embodiments, a machine learning model is trained using interaction data received from a number of mobile devices by correlating user selections with visual elements (e.g., icons). During execution of a testing routine on a mobile device, screenshots are obtained of a screen of the mobile device and provided to the machine learning model. An action is generated based on the provided screenshot that simulates a user action (e.g., a user touch on the screen of the mobile device) at a location of an icon or other visual element associated with the testing routine.

Abstract: A device and a method for authenticating a user. The method includes selecting the phrase key from a plurality of phrase keys. The method also includes receiving, from a target service a file that includes parsed data based on speech recognition processing of a phrase spoken by a user. Additionally, the method includes sending a notification the target service, upon a determination that the parsed data matches a phrase key. The method further includes receiving a set of user credentials from the target service and sending the set of user credentials to the virtual assistant device.

Abstract: By analyzing the apps on a portable computing device 500, the communication modes used by the portable computing devices 500 and the communication requirements of the apps at a given time, an ideal communication mode given a certain mix of apps operating on a portable computing device 500 at a given point in time may be determined

Abstract: Provided are a bovine rotavirus fusion protein and calf diarrhea multivalent vaccine. The bovine rotavirus fusion protein contains a VP6 fragment, wherein the VP6 fragment contains an amino acid sequence as represented by SEQ ID NO. 4, and at least one loop region of the following (a)˜(c) is substituted with an antigenic epitope derived from bovine coronavirus and/or an antigenic epitope derived from E. coli: (a) amino acid residues of sites 168-177, with an amino acid sequence as represented by SEQ ID NO. 1; (b) amino acid residues of sites 194-205, with an amino acid sequence as represented by SEQ ID NO. 2; and (a) amino acid residues of sites 296-316, with an amino acid sequence as represented by SEQ ID NO. 3, The bovine rotavirus fusion protein contains a plurality of antigenic epitopes, and can enable a host to generate a plurality of antibodies after immunizing the host.

Abstract: A cloud computing server includes a memory, a processor, and a communication unit. The memory is configured to store a plurality of activities, a plurality of actions, and an association model that associates the plurality of activities with the plurality of actions. The processor is configured to determine an activity from the plurality of activities by determining a similarity between an upcoming activity and one of the plurality of activities and identify an action based on the activity and the association model. The communication unit is configured to transmit the identified action to a user equipment (UE).

Abstract: An apparatus and method for generating an alert on a mobile terminal based on signal strength of the mobile terminal are provided. The method includes measuring a signal strength with which the mobile terminal communicates with a network, determining whether the measured signal strength is less than a predefined signal strength threshold, and if the measured signal strength is less than the predefined signal strength threshold, generating an alert indicating that the signal strength of the mobile terminal is low.

Abstract: A device and a method for authenticating a user. The method includes selecting the phrase key from a plurality of phrase keys. The method also includes receiving, from a target service a file that includes parsed data based on speech recognition processing of a phrase spoken by a user. Additionally, the method includes sending a notification the target service, upon a determination that the parsed data matches a phrase key. The method further includes receiving a set of user credentials from the target service and sending the set of user credentials to the virtual assistant device.

Abstract: A payment server configured to share payments among occupants of a vehicle. The payment server receives a payment request comprising a payment amount and a vehicle identification, accesses a database record associated with the vehicle identification, the record including an identification and seat position of each vehicle occupant as determined from a mobile device of each occupant, and identifies the vehicle driver. The server transmits to an in-vehicle infotainment (IVI) system a first billing message associated with the payment request, the IVI system displaying the first billing message on a screen of an IVI head unit. The first billing message offers the driver an option to share the payment amount with a second occupant of the vehicle.

Abstract: A system, apparatus, and method for managing applications as Internet of Things (IoT) objects includes an IoT server, a computing device, and an IoT application. The IoT server and the computing device communicate via a network. The computing device has an IoT interface and an IoT-enabled application with an RPC interface. The IoT interface uses the RPC interface to communicate with the IoT-enabled application. The IoT interface communicates with the IoT server or the IoT application using an IoT protocol. The IoT interface operates the IoT-enabled application as an IoT device in the system.

Abstract: A digital handwriting system that includes an electronic device and a method of using the same. The present disclosure teaches a method that includes identifying content stored on the electronic device to be projected onto a surface; identifying occurrence of a touch event of an accessory; capturing an image of the touch event to determine initial position data indicating an initial position of the accessory relative to the projected content; receiving movement tracking data indicating movement of the accessory; and updating the content using the initial position data and the movement tracking data. Various embodiments may further include using an inertial movement unit (IMU) disposed in an electronic accessory for determining movement tracking data of the accessory. Moreover, updating the content may include updating the projected content in real-time.

Abstract: A method for collecting diagnostic data in a wireless communication network. The method comprises storing previously measured results of the diagnostic data for improving quality of the wireless communication network, determining a spatiotemporal correlation model based on the previously measured results of the diagnostic data in accordance with a data collection strategy, and collecting new diagnostic data based on the determined spatiotemporal correlation model and the data collection strategy.

Abstract: An embodiment of this disclosure provides an apparatus including a communications unit and at least one processor. The communications unit is configured to communicate with a client device in the system. The at least one processor is coupled to the communications unit. The at least one processor configured to monitor a rule in the system. The rule controls the client device. The at least one processor is also configured to, responsive to the rule for the client device being triggered, determine whether an anomaly exists in the system. The at least one processor is also configured to, response to the anomaly existing, determine whether an override action is available for the anomaly. The at least one processor is also configured to, responsive to the override action being available, override the rule.

Abstract: A method, system, and vehicle for locating an occupant within the vehicle. The method includes receiving motion data of a seatbelt for a seat in the vehicle and receiving motion data of a wearable device of the occupant. The method also includes comparing the seatbelt motion data with the wearable device motion data from a same period of time and identifying that the occupant is located at the seat in the vehicle based on a result of the comparison. The method may also include associating the occupant with the vehicle based on location information of the vehicle and location information of the wearable device of the occupant. Additionally, the method may include identifying personalization options for the occupant at the seat based on a user profile of the occupant in response to identifying that the occupant is located at the seat.

Abstract: A method, apparatus, and computer readable medium for managing a voice call in a wireless communication network. The method comprises collecting crowd-sourced data for a voice over long-term evolution (VoLTE) call quality metrics and contexts associated with a VoLTE call. The VoLTE call quality metrics and contexts comprise non-device information and device information. The method further comprises identifying accessible information based on the device information and the non-device information, predicting VoLTE call quality using the collected crowd-sourced data and the accessible information, and determining whether to place the voice call as or switch the voice call to a VoLTE call or a circuit-switched voice call based on comparison of the predicted VoLTE quality to a predetermined threshold.

Abstract: A cloud computing server includes a memory, a processor, and a communication unit. The memory is configured to store a plurality of activities, a plurality of actions, and an association model that associates the plurality of activities with the plurality of actions. The processor is configured to determine an activity from the plurality of activities by determining a similarity between an upcoming activity and one of the plurality of activities and identify an action based on the activity and the association model. The communication unit is configured to transmit the identified action to a user equipment (UE).