Abstract:
420 Técnicas para ajustar las variables de codificacion de un dispositivo de codificacion. En respuesta a una solicitud para redimensionar un segmento de datos, un modulo de codificacion ajusta al menos una variable de codificacion utilizada para codificar uno o más segmentos de datos subsiguientes tales que los segmentos de datos subsiguientes están codificados a una velocidad de bits que es diferente a la velocidad de bits en el cual los segmentos de datos subsiguientes hubieran sido codificados de no haber existido una solicitud para redimensionar. En algun punto, el modulo de codificacion reajusta las variables de codificacion utilizadas para codificar los segmentos de datos tales que los segmentos de datos subsiguientes están codificados para lograr un resultado de codificacion deseado. Por ejemplo, el modulo de codificacion puede reajustar las variables de codificacion después de un período de tiempo o puede ajustar de manera incremental las variables de codificacion hasta que las variables de codificacion dan lugar a lograr el resultado de codificacion deseado.
Abstract:
The disclosure generally relates to Internet of Things (IoT) device social networking, and in particular to an IoT device publish-subscribe messaging model and automatic IoT device social network expansion. For example, IoT devices from different networks may publish status data that relates to certain topics, wherein the published status updates may be managed in a distributed manner at each IoT network. Furthermore, IoT devices interested in published data can subscribe to data relating to certain topics, which may be used to dynamically adjust actions that the subscribing IoT devices may take. Furthermore, IoT devices can employ common social networking capabilities (e.g., refer, follow, like, publish, subscribe, etc.) to interact with other IoT devices and find relevant information from other IoT devices that can be used to improve performance and effectiveness.
Abstract:
The disclosure relates to collaborative intelligence and decision-making in an Internet of Things (IoT) device group. In particular, various IoT devices in the group may be interdependent, whereby a decision that one IoT device plans may impact other IoT devices in the group. Accordingly, in response to an IoT device planning a certain decision (e.g., to transition state or initiate another action), the IoT devices in the group may collaborate using distributed intelligence prior to taking action on the planned decision. For example, a recommendation request may be sent to other IoT devices in the group, which may then analyze relationships within the group to assess potential impacts associated with the planned decision and respond to approve or disapprove the planned decision. Based on the responses received from the other IoT devices, the IoT device may then determine whether to take action on the planned decision.
Abstract:
Methods and apparatuses for optimizing performance using data from an Internet of Things (IoT) device with analytics engines. The method receives, from a requesting Internet of Things (IoT) device, a request for trend data of physical resource consumption based at least in part on a portion of received data from at least one of a plurality of IoT devices. The method retrieves, from memory of an analytics engine, at least the portion of the received data. The method calculates, in a calculator of the analytics engine, the trend data based on at least the portion of the received data. The method transmits, to the requesting IoT device, the calculated trend data, wherein the requesting IoT device adjusts parameters in an IoT device using the calculated trend data.
Abstract:
Aspects provide for an advertising insertion notification in real-time streaming media services, which provides for advertisement insertion at the wireless device level. The advertising insertion notification is generated at the broadcaster level and transmitted to the wireless devices in the real-time stream prior to the occurrence of an advertisement slot. The advertising insertion notification notifies the wireless device of the start time and duration of an advertisement insertion slot. In some aspects, the advertising insertion notification may indicate the source of the advertisements, such as from local wireless device storage, a dedicated advertisement channel or the like. Additionally, in some other aspects, the advertising insertion notification may include advertisement selection criteria that may be used to determine which advertisement should be inserted in the associated advertisement insertion slot.
Abstract:
An aspect enables context aware actions among heterogeneous Internet of Things (IoT) devices. An IoT device receives data representing a context of each of a first set of IoT devices, receives data representing a current state of each of a second set of IoT devices, and determines an action to perform at a target IoT based on the received data. An aspect verifies an implied relationship between a first user and a second user by detecting an interaction between a first user device belonging to the first user and a second user device belonging to the second user, storing information related to the interaction in a first interaction table associated with the first user device, assigning a relationship identifier to the second user based, at least in part, on the information related to the interaction, and determining whether or not the assigned relationship identifier is correct.
Abstract:
The described apparatus and methods define a predetermined scheme or syntax for an application-specific Universal Resource Identifier (URI) operable to deep link to a specified point, portion, or view of a target client application executable on a wireless device. Accordingly, the described application-specific URI can be used to deep link from one point to another in the same client application, or to deep link from one client application to another client application.
Abstract:
In general, this disclosure describes techniques for exchanging information between a plurality of encoder modules and a multiplex module to combine segments of data from the encoder modules with an improved overall quality. In particular, the encoder modules associate their respective segments of data with quality and rate information and send at least the quality and rate information associated with the segments of data to the multiplex module. The multiplex module analyzes the quality and rate information to determine whether the segments of data that encoder modules desire to include in the current superframe fit within the available bandwidth of a transmission channel. If the multiplex module determines the plurality of segments of data do not fit within the available bandwidth, the multiplex module selects one or more of the segments to be resized based on the quality and rate information received from the encoder modules.
Abstract:
The disclosure relates to a recommendation engine that may monitor, aggregate, filter, and otherwise process relevant information associated with a user Internet of Things (IoT) environment to provide personal and context-aware recommendations based on relevant real-time knowledge about various IoT devices and other items in the IoT environment. For example, the recommendations may be generated based on ranked associations between the user and the various items in the IoT environment, which may be determined from profiles, states, usage patterns, proximities, and other contextually relevant information about the IoT environment. Furthermore, the recommendations may be uploaded to a recommendation data server, shared with friends, or otherwise used to provide similar recommendations to other users, and in a similar respect, the recommendations may be based on information stored on the recommendation data server and/or recommendations provided to friends or other users having similar profiles to the user.
Abstract:
An aspect enables context aware actions among heterogeneous Internet of Things (IoT) devices. An IoT device receives data representing a context of each of a first set of IoT devices, receives data representing a current state of each of a second set of IoT devices, and determines an action to perform at a target IoT based on the received data. An aspect verifies an implied relationship between a first user and a second user by detecting an interaction between a first user device belonging to the first user and a second user device belonging to the second user, storing information related to the interaction in a first interaction table associated with the first user device, assigning a relationship identifier to the second user based, at least in part, on the information related to the interaction, and determining whether or not the assigned relationship identifier is correct.