Abstract:
A stochastic method and apparatus schedules airtime in a radio communication system having a plurality of transmission protocols. At a queue measurement time airtimes are measured (402) that are required for transmitting messages stored in queues (222) corresponding to the plurality of transmission protocols. A corresponding plurality of estimated arrival rates are determined (404) equal to estimated rates of increase of the plurality of airtimes due to arriving traffic. An objective function is structured (408) equal to a sum of penalties corresponding to the plurality of transmission protocols, the penalties dependent upon the plurality of airtimes and the plurality of estimated arrival rates, and further dependent upon an optimal airtime allocation decision. The optimal airtime allocation decision is derived (410) by minimizing the objective function, and then airtime is allocated (412) among the plurality of transmission protocols in accordance with the optimal airtime allocation decision.
Abstract:
A method and apparatus controls zone registrations in a radio communication system providing radio coverage to a portable subscriber unit (122, 1200) within a plurality of zones (402). A fixed portion (102) of the radio communication system cooperates with the portable subscriber unit (122, 1200) to adjust at least one registration variable in a memory of the portable subscriber unit (122, 1200) for moderating the zone registrations. The portable subscriber unit (122, 1200) then moderates the zone registrations to a limited number in accordance with the at least one registration variable.
Abstract:
Embodiments adjust device error radiuses associated with inferred device positions produced by positioning systems. Inferred beacon positions and associated beacon radiuses are accessed for beacons in a beacon fingerprint from an observing computing device. The beacon radiuses are associated with a pre-defined confidence level (e.g., an in-circle percentage). A Kalman filter is applied to at least one of the beacons using the inferred beacon positions and the beacon radiuses associated therewith to infer a device position for the computing device and to compute a device error radius for the inferred device position. The computed device error radius is adjusted as a function of the quantity of beacons input to the Kalman filter to achieve the pre-defined confidence level.
Abstract:
Selecting devices from which to receive data for adjusting the performance of a positioning system. The positioning system infers the location of the devices based on beacons observed by the devices. The performance of the positioning system is compared to performance targets. One or more of the devices are selected based on the comparison. Data collection from the devices is adjusted to affect performance of the positioning system (e.g., improved or reduced). For example, if the positioning system predicts positions poorly for a particular area, data collection from selected devices within the particular area may be increased.
Abstract:
Determining semantics for locations based on user data such as user activities and/or user communications. The user data is captured and analyzed to identify keywords including locations. Location data describing the locations is obtained and associated with the user and keywords. The associations represent user context for the locations. The associations are used to deliver services and/or products to the user at various times such as when user approaches or enters a particular location.
Abstract:
Estimating positions of beacons based on spatial relationships among neighboring beacons. Beacon reference data defining positions of beacons is stored from beacon fingerprints observed by devices (e.g., enabled with global positioning system receivers). For a received beacon fingerprint having at least one beacon for which the beacon reference data is missing (e.g., from a device without a GPS receiver), beacons in the received beacon fingerprint for which beacon reference data is available are identified. Based on these identified beacons, the missing beacon reference data is calculated. In some embodiments, a set of spatially diverse beacons is selected from the identified beacons prior to calculating the beacon reference data.
Abstract:
Estimating positions of beacons based on spatial relationships among neighboring beacons. Beacon reference data defining positions of beacons is stored from beacon fingerprints observed by devices (e.g., enabled with global positioning system receivers). For a received beacon fingerprint having at least one beacon for which the beacon reference data is missing (e.g., from a device without a GPS receiver), beacons in the received beacon fingerprint for which beacon reference data is available are identified. Based on these identified beacons, the missing beacon reference data is calculated. In some embodiments, a set of spatially diverse beacons is selected from the identified beacons prior to calculating the beacon reference data.
Abstract:
Generate tags for content from metadata pre-filtered based on context. A plurality of data items is accessed. Each of the data items has metadata. A context for a user is determined (e.g., at a moment of content capture). One or more of the data items are selected based on the determined context. Upon receipt of content, the received content is compared with the selected data items to identify matches. Metadata is selected from the metadata associated with the matching data items. The selected metadata is associated with the captured content.
Abstract:
Determining semantics for locations based on user data such as user activities and/or user communications. The user data is captured and analyzed to identify keywords including locations. Location data describing the locations is obtained and associated with the user and keywords. The associations represent user context for the locations. The associations are used to deliver services and/or products to the user at various times such as when user approaches or enters a particular location.
Abstract:
Software code sections can include at least one calling procedure (110) and a called procedure (140). The called procedure can include an interpreted code body (144). Execution of the interpreted code body can require the use of an associated interpreter. The software code sections can also include prologue (142) associated with the called procedure. The prologue can be invoked by the at least one calling procedure and can responsively actuate the interpreted code body causing programmatic actions defined within the interpreted code body to execute. Execution of the prologue does not require use of an interpreter. In one embodiment, the interpreted code body of the called procedure can execute upon a platform having an application binary interface (115). The prologue can actuate the interpreted code body according to specifications of the application binary interface.