Abstract: A system for predicting injuries includes a plurality of sensors configured to generate sensor data and an apparatus having an input-output interface and a processor coupled to the input-output interface and wherein the processor is coupled to a memory, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations including receiving the sensor data, applying analytics to the sensor data, based on the applying step, predicting a likely injury, and transmitting a report based on the predicting step.

Abstract: In one example, a processor may receive a first request to process a first task, the first request including a first estimated central processing unit utilization for the first task and a first estimated memory utilization for the first task and receive central processing unit capacities and memory capacities of a plurality of sub-data routers including at least a first sub-data router. The processor may further determine that the first sub-data router has a lowest central processing unit capacity from among the plurality of sub-data routers that is sufficient to accommodate the first estimated central processing unit utilization for the first task and determine that the first sub-data router has a memory capacity that is sufficient to accommodate the first estimated memory utilization for the first task. The processor may then assign the first task to the first sub-data router.

Abstract: In one example, a processor may receive a first request to process a first task, the first request including a first estimated central processing unit utilization for the first task and a first estimated memory utilization for the first task and receive central processing unit capacities and memory capacities of a plurality of sub-data routers including at least a first sub-data router. The processor may further determine that the first sub-data router has a lowest central processing unit capacity from among the plurality of sub-data routers that is sufficient to accommodate the first estimated central processing unit utilization for the first task and determine that the first sub-data router has a memory capacity that is sufficient to accommodate the first estimated memory utilization for the first task. The processor may then assign the first task to the first sub-data router.

Abstract: A system for predicting injuries includes a plurality of sensors configured to generate sensor data and an apparatus having an input-output interface and a processor coupled to the input-output interface and wherein the processor is coupled to a memory, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations including receiving the sensor data, applying analytics to the sensor data, based on the applying step, predicting a likely injury, and transmitting a report based on the predicting step.

Abstract: A system for predicting injuries includes a plurality of sensors configured to generate sensor data and an apparatus having an input-output interface and a processor coupled to the input-output interface and wherein the processor is coupled to a memory, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations including receiving the sensor data, applying analytics to the sensor data, based on the applying step, predicting a likely injury, and transmitting a report based on the predicting step.

Abstract: Devices, methods, computer-readable media, and systems for determining an identity of a food are disclosed. For example, a method may receive at least one property of at least one component in a sample of a food from an intra-oral device including a spectrometer, the at least one property obtained via the spectrometer, compares the at least one property to a plurality of food signatures, and determines the identity of the food based upon the comparing. In another example, a system may include an intra-oral device and a wireless device. The intra-oral device may include a spectrometer for measuring at least one property of at least one component in a sample of a food. The wireless device may include a processor for receiving the at least one property, comparing the at least one property to a plurality of food signatures, and determining the identity of the food based upon the comparing.

Abstract: A mobile emergency response network may be utilized to respond to emergencies. Emergency response resources may be selected and deployed through the use of network communications between user equipment and network elements. In an example configuration, a mobile emergency response network may receive emergency data, determine an emergency is occurring, determine a resource requirement for the emergency, identify a mobile device associated with a user who meets the resource requirement, and send a request to the mobile device.

Abstract: Devices, methods, computer-readable media, and systems for determining an identity of a food are disclosed. For example, a method may receive at least one property of at least one component in a sample of a food from an intra-oral device including a spectrometer, the at least one property obtained via the spectrometer, compares the at least one property to a plurality of food signatures, and determines the identity of the food based upon the comparing. In another example, a system may include an intra-oral device and a wireless device. The intra-oral device may include a spectrometer for measuring at least one property of at least one component in a sample of a food. The wireless device may include a processor for receiving the at least one property, comparing the at least one property to a plurality of food signatures, and determining the identity of the food based upon the comparing.

Abstract: A system for predicting injuries includes a plurality of sensors configured to generate sensor data and an apparatus having an input-output interface and a processor coupled to the input-output interface and wherein the processor is coupled to a memory, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations including receiving the sensor data, applying analytics to the sensor data, based on the applying step, predicting a likely injury, and transmitting a report based on the predicting step.

Abstract: Devices, methods, computer-readable media, and systems for determining an identity of a food are disclosed. For example, a method may receive at least one property of at least one component in a sample of a food from an intra-oral device including a spectrometer, the at least one property obtained via the spectrometer, compares the at least one property to a plurality of food signatures, and determines the identity of the food based upon the comparing. In another example, a system may include an intra-oral device and a wireless device. The intra-oral device may include a spectrometer for measuring at least one property of at least one component in a sample of a food. The wireless device may include a processor for receiving the at least one property, comparing the at least one property to a plurality of food signatures, and determining the identity of the food based upon the comparing.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to supplement network coverage with a fleet of autonomous drones are disclosed. Example methods disclosed herein include configuring a first drone with information specifying a size and a target location associated with the coverage area. Disclosed example methods also include, when the first drone reaches the target location, monitoring for communication signals to determine whether a first coverage zone provided by the first drone and a second coverage zone provided by a second drone in a fleet of drones overlap. Disclosed example methods further include autonomously adjusting a position of the first drone to maintain overlapping of the first coverage zone provided by the first drone with the coverage area, but to reduce an amount of overlap of the first coverage zone with the second coverage zone.

Abstract: Aspects of the subject disclosure may include, for example, receiving registration information indicating a plurality of registered communication devices in proximity to a set-top box, the plurality of registered communication devices being registered according to a communication exchange between the set-top box and each of the plurality of registered communication devices, identifying a group of users associated with the plurality of registered communication devices, and determining characteristics for the group of users according to the identifying of the group of users, correlating the characteristics for the group of users, selecting a directed advertisement according to the correlating of the characteristics, and providing the directed advertisement to the set-top box for presentation. Other embodiments are disclosed.

Abstract: Devices, methods, computer-readable media, and systems for determining an identity of a food are disclosed. For example, a method may receive at least one property of at least one component in a sample of a food from an intra-oral device including a spectrometer, the at least one property obtained via the spectrometer, compares the at least one property to a plurality of food signatures, and determines the identity of the food based upon the comparing. In another example, a system may include an intra-oral device and a wireless device. The intra-oral device may include a spectrometer for measuring at least one property of at least one component in a sample of a food. The wireless device may include a processor for receiving the at least one property, comparing the at least one property to a plurality of food signatures, and determining the identity of the food based upon the comparing.

Abstract: A method includes dispatching a drone to a site. The drone includes audio/visual equipment. The method includes logging a plurality of timestamped locations of the drone and receiving, from the audio/visual equipment, site data captured by an on-site operator of the audio/visual equipment. The method includes correlating a portion of the site data with at least one of the timestamped locations of the drone.

Abstract: Devices, methods, computer-readable media, and systems for determining an identity of a food are disclosed. For example, a method may receive at least one property of at least one component in a sample of a food from an intra-oral device including a spectrometer, the at least one property obtained via the spectrometer, compares the at least one property to a plurality of food signatures, and determines the identity of the food based upon the comparing. In another example, a system may include an intra-oral device and a wireless device. The intra-oral device may include a spectrometer for measuring at least one property of at least one component in a sample of a food. The wireless device may include a processor for receiving the at least one property, comparing the at least one property to a plurality of food signatures, and determining the identity of the food based upon the comparing.

Abstract: Devices, methods, computer-readable media, and systems for determining an identity of a food are disclosed. For example, a method may receive at least one property of at least one component in a sample of a food from an intra-oral device including a spectrometer, the at least one property obtained via the spectrometer, compares the at least one property to a plurality of food signatures, and determines the identity of the food based upon the comparing. In another example, a system may include an intra-oral device and a wireless device. The intra-oral device may include a spectrometer for measuring at least one property of at least one component in a sample of a food. The wireless device may include a processor for receiving the at least one property, comparing the at least one property to a plurality of food signatures, and determining the identity of the food based upon the comparing.

Abstract: Aspects of the subject disclosure may include, for example, receiving registration information indicating a plurality of registered communication devices in proximity to a set-top box, the plurality of registered communication devices being registered according to a communication exchange between the set-top box and each of the plurality of registered communication devices, identifying a group of users associated with the plurality of registered communication devices, and determining characteristics for the group of users according to the identifying of the group of users, correlating the characteristics for the group of users, selecting a directed advertisement according to the correlating of the characteristics, and providing the directed advertisement to the set-top box for presentation. Other embodiments are disclosed.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to supplement network coverage with a fleet of autonomous drones are disclosed. Example methods disclosed herein include configuring a first drone with information specifying a size and a target location associated with the coverage area. Disclosed example methods also include, when the first drone reaches the target location, monitoring for communication signals to determine whether a first coverage zone provided by the first drone and a second coverage zone provided by a second drone in a fleet of drones overlap. Disclosed example methods further include autonomously adjusting a position of the first drone to maintain overlapping of the first coverage zone provided by the first drone with the coverage area, but to reduce an amount of overlap of the first coverage zone with the second coverage zone.

Abstract: A mobile emergency response network may be utilized to respond to emergencies. Emergency response resources may be selected and deployed through the use of network communications between user equipment and network elements. In an example configuration, a mobile emergency response network may receive emergency data, determine an emergency is occurring, determine a resource requirement for the emergency, identify a mobile device associated with a user who meets the resource requirement, and send a request to the mobile device.

Abstract: Aspects of the subject disclosure may include, for example, receiving registration information indicating a plurality of registered communication devices in proximity to a set-top box, the plurality of registered communication devices being registered according to a communication exchange between the set-top box and each of the plurality of registered communication devices, identifying a group of users associated with the plurality of registered communication devices, and determining characteristics for the group of users according to the identifying of the group of users, correlating the characteristics for the group of users, selecting a directed advertisement according to the correlating of the characteristics, and providing the directed advertisement to the set-top box for presentation. Other embodiments are disclosed.