Abstract: A microservice node can store first raw satellite data, associated with a first satellite constellation, in a first electronic file in a first data store, can combine the first electronic file and one or more second electronic files, associated with the first satellite constellation, into a first compressed electronic file, and can store the first compressed electronic file in a second data store. The first raw satellite data and second raw satellite data can be received during a particular time period. The second data store can include a second compressed electronic file that includes third raw satellite data associated with a second satellite constellation. The microservice node can receive a request from a client device, can combine the first compressed electronic file and the second compressed electronic file into a third compressed electronic file based on the request, and can transmit the third compressed electronic file to the client device.

Abstract: A method, a device, and a non-transitory storage medium each provide an object recognition service that identifies an object within an image or a video. An object is identified according to a general classification based on a domain-based inference model, and is subsequently further identified according to a sub-classification of the general classification based on another domain-based inference model. The domain-based inference models are hierarchical. The object recognition of the object may be used in support of end user services.

Abstract: A device may receive, from a client device, a request with a single packet authorization (SPA) packet that includes data identifying a universal client device identifier. The device may generate a shared key associated with the universal client device identifier, and may determine that the SPA packet matches a comparison message authentication code (MAC) generated based on the shared key. The device may provide, based on the SPA packet matching the comparison MAC, a MAC associated with the SPA packet to the client device to enable the client device to validate the device.

Abstract: A microservice node can store first raw satellite data, associated with a first satellite constellation, in a first electronic file in a first data store, can combine the first electronic file and one or more second electronic files, associated with the first satellite constellation, into a first compressed electronic file, and can store the first compressed electronic file in a second data store. The first raw satellite data and second raw satellite data can be received during a particular time period. The second data store can include a second compressed electronic file that includes third raw satellite data associated with a second satellite constellation. The microservice node can receive a request from a client device, can combine the first compressed electronic file and the second compressed electronic file into a third compressed electronic file based on the request, and can transmit the third compressed electronic file to the client device.

Abstract: A microservice node can store first raw satellite data, associated with a first satellite constellation, in a first electronic file in a first data store, can combine the first electronic file and one or more second electronic files, associated with the first satellite constellation, into a first compressed electronic file, and can store the first compressed electronic file in a second data store. The first raw satellite data and second raw satellite data can be received during a particular time period. The second data store can include a second compressed electronic file that includes third raw satellite data associated with a second satellite constellation. The microservice node can receive a request from a client device, can combine the first compressed electronic file and the second compressed electronic file into a third compressed electronic file based on the request, and can transmit the third compressed electronic file to the client device.

Abstract: A device determines, based on location verification data that has been received, that the device is indoors at a first geographic location. The device determines a base measured barometric pressure, and an initial floor that the device is located on in a structure that includes the first geographic location. The device determines an adjusted measured barometric pressure for a second geographic location based on a second measured barometric pressure for the second geographic location and one or more reference barometric pressures that are associated with a reference location. The device determines an altitude for the second geographic location based on the base measured barometric pressure and the adjusted measured barometric pressures. The device causes a server to predict a floor that the device is located on at the second geographic location and to provide floor data that identifies the floor to an interface that is accessible to the device.

Abstract: A device may receive, from a client device, a request with a single packet authorization (SPA) packet that includes data identifying a universal client device identifier. The device may generate a shared key associated with the universal client device identifier, and may determine that the SPA packet matches a comparison message authentication code (MAC) generated based on the shared key. The device may provide, based on the SPA packet matching the comparison MAC, a MAC associated with the SPA packet to the client device to enable the client device to validate the device.

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to receive a request for quantum random numbers from a client device. The processor may be further configured to establish a secure communication channel with the client device; obtain a stream of quantum random numbers from a quantum random number generator appliance; and provide a set of quantum random numbers from the obtained stream of quantum random numbers to the client device via the established secure communication channel.

Abstract: A device may receive, from a client device, a request with a single packet authorization (SPA) packet that includes data identifying a universal client device identifier (UID), a counter, a first one-time password generated based on a first shared key, the UID, and the counter. The device may generate a second shared key associated with the UID, and may compare the SPA packet to a comparison message authentication code (MAC) generated based on the second shared key, the UID, and the counter. The device may determine whether the SPA packet matches the comparison MAC, and may validate the client device when the SPA packet matches the comparison MAC. The device may provide a MAC associated with the SPA packet to the client device to enable the client device to validate the device for a secure communication based on establishing a pre-master key with the client device.

Abstract: A device may receive, from a client device, a request with a single packet authorization (SPA) packet that includes data identifying a universal client device identifier (UID), a counter, a first one-time password generated based on a first shared key, the UID, and the counter. The device may generate a second shared key associated with the UID, and may compare the SPA packet to a comparison message authentication code (MAC) generated based on the second shared key, the UID, and the counter. The device may determine whether the SPA packet matches the comparison MAC, and may validate the client device when the SPA packet matches the comparison MAC. The device may provide a MAC associated with the SPA packet to the client device to enable the client device to validate the device for a secure communication based on establishing a pre-master key with the client device.

Abstract: A device determines, based on location verification data that has been received, that the device is indoors at a first geographic location. The device determines a base measured barometric pressure, and an initial floor that the device is located on in a structure that includes the first geographic location. The device determines an adjusted measured barometric pressure for a second geographic location based on a second measured barometric pressure for the second geographic location and one or more reference barometric pressures that are associated with a reference location. The device determines an altitude for the second geographic location based on the base measured barometric pressure and the adjusted measured barometric pressures. The device causes a server to predict a floor that the device is located on at the second geographic location and to provide floor data that identifies the floor to an interface that is accessible to the device.

Abstract: A method, a device, and a non-transitory storage medium each provide an object recognition service that identifies an object within an image or a video. An object is identified according to a general classification based on a domain-based inference model, and is subsequently further identified according to a sub-classification of the general classification based on another domain-based inference model. The domain-based inference models are hierarchical. The object recognition of the object may be used in support of end user services.

Abstract: A computer device may include a memory storing instructions and processor configured to execute the instructions to receive a request for quantum random numbers from a client device. The processor may be further configured to establish a secure communication channel with the client device; obtain a stream of quantum random numbers from a quantum random number generator appliance; and provide a set of quantum random numbers from the obtained stream of quantum random numbers to the client device via the established secure communication channel.

Abstract: A device determines, based on location verification data that has been received, that the device is indoors at a first geographic location. The device determines a base measured barometric pressure, and an initial floor that the device is located on in a structure that includes the first geographic location. The device determines an adjusted measured barometric pressure for a second geographic location based on a second measured barometric pressure for the second geographic location and one or more reference barometric pressures that are associated with a reference location. The device determines an altitude for the second geographic location based on the base measured barometric pressure and the adjusted measured barometric pressures. The device causes a server to predict a floor that the device is located on at the second geographic location and to provide floor data that identifies the floor to an interface that is accessible to the device.

Abstract: A method, a device, and a non-transitory storage medium each provide an object recognition service that identifies an object within an image or a video. An object is identified according to a general classification based on a domain-based inference model, and is subsequently further identified according to a sub-classification of the general classification based on another domain-based inference model. The domain-based inference models are hierarchical. The object recognition of the object may be used in support of end user services.

Abstract: A microservice node can store first raw satellite data, associated with a first satellite constellation, in a first electronic file in a first data store, can combine the first electronic file and one or more second electronic files, associated with the first satellite constellation, into a first compressed electronic file, and can store the first compressed electronic file in a second data store. The first raw satellite data and second raw satellite data can be received during a particular time period. The second data store can include a second compressed electronic file that includes third raw satellite data associated with a second satellite constellation. The microservice node can receive a request from a client device, can combine the first compressed electronic file and the second compressed electronic file into a third compressed electronic file based on the request, and can transmit the third compressed electronic file to the client device.

Abstract: A method, a device, and a non-transitory storage medium each provide an object recognition service that identifies an object within an image or a video. An object is identified according to a general classification based on a domain-based inference model, and is subsequently further identified according to a sub-classification of the general classification based on another domain-based inference model. The domain-based inference models are hierarchical. The object recognition of the object may be used in support of end user services.

Abstract: A computer device may include logic configured to generate a virtualized environment for a customer; receive a request to provide a route reflector service for the customer; and generate a virtual route reflector on the generated virtualized environment, in response to receiving the request to provide the route reflector service for the customer. The logic may further be configured to establish a Virtual Private Network (VPN) or secure tunnel connection between the generated virtual route reflector and a client router associated with a customer network via a cloud center access system, wherein the cloud center access system connects a cloud center system that includes the computer device to a provider network that includes the client router; and establish a Border Gateway Protocol (BGP) session between the client router and the generated virtual route reflector using the established VPN or secure tunnel connection.

Abstract: A smart shopping container and supporting network perform object recognition for items in a retail establishment. A network device receives a signal from a user device to associate a portable container with a retail application being executing on the user device. The network device receives, from the container, images of a holding area of the container. The images are captured by different cameras at different positions relative to the holding area and are captured proximate in time to detecting an activity that places an object from the retail establishment into the holding area. The network device generates a scene of the holding area constructed of multiple images from the different cameras and identifies the object as a retail item using the scene. The network device associates the retail item with a stock-keeping unit (SKU) and creates a product list that includes an item description for the object associated with the SKU.

Abstract: A computer device may include logic configured to generate a virtualized environment for a customer; receive a request to provide a route reflector service for the customer; and generate a virtual route reflector on the generated virtualized environment, in response to receiving the request to provide the route reflector service for the customer. The logic may further be configured to establish a Virtual Private Network (VPN) or secure tunnel connection between the generated virtual route reflector and a client router associated with a customer network via a cloud center access system, wherein the cloud center access system connects a cloud center system that includes the computer device to a provider network that includes the client router; and establish a Border Gateway Protocol (BGP) session between the client router and the generated virtual route reflector using the established VPN or secure tunnel connection.