Abstract: Systems and methods are provided for management of network segments that cross geographic regions and/or other types of network divisions in a cloud-based network environment. A cloud-based network provider's geographically-dispersed network infrastructure may serve as the core of a client's private wide area network, and the client may define isolated segments to which other networks (virtual private clouds, virtual private networks, etc.) may be attached. The various segments may remain logically isolated from each other even when implemented across some or all of the same regions—and using the same physical and/or virtual routing components—as other segments of the same client and/or other clients.

Abstract: Example gesture matching mechanisms are disclosed herein. An example machine readable storage device or disc includes instructions that, when executed, cause programmable circuitry to at least: prompt a user to perform gestures to register the user, randomly select at least one of the gestures for authentication of the user, prompt the user to perform the at least one selected gesture, translate the gesture into an animated avatar for display at a display device, the animated avatar including a face, analyze performance of the gesture by the user, and authenticate the user based on the performance of the gesture.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: Example gesture matching mechanisms are disclosed herein. An example machine readable storage device or disc includes instructions that, when executed, cause programmable circuitry to at least: prompt a user to perform gestures to register the user, randomly select at least one of the gestures for authentication of the user, prompt the user to perform the at least one selected gesture, translate the gesture into an animated avatar for display at a display device, the animated avatar including a face, analyze performance of the gesture by the user, and authenticate the user based on the performance of the gesture.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: An example apparatus is disclosed herein that includes a memory and at least one processor. The at least one processor is to execute instructions to: select a gesture from a database, the gesture including a sequence of poses; translate the selected gesture into an animated avatar performing the selected gesture for display at a display device; display a prompt for the user to perform the selected gesture performed by the animated avatar; capture an image of the user performing the selected gesture; and perform a comparison between a gesture performed by the user in the captured image and the selected gesture to determine whether there is a match between the gesture performed by the user and the selected gesture.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: Smart apparel for monitoring athletics and associated systems and methods are disclosed. An example apparatus includes a data interface to access first motion data and second motion data generated by the smart apparel, the first motion data associated with a first joint on a body and the second motion data associated with a second joint on the body; a motion data fuser to fuse the first motion data and the second motion data; an analytics determiner to process the fused first and second motion data to identify a progression of a motion based activity; and a display organizer to generate a graphical display representing the progression of the motion based activity.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: An example apparatus is disclosed herein that includes a memory and at least one processor. The at least one processor is to execute instructions to: select a gesture from a database, the gesture including a sequence of poses; translate the selected gesture into an animated avatar performing the selected gesture for display at a display device; display a prompt for the user to perform the selected gesture performed by the animated avatar; capture an image of the user performing the selected gesture; and perform a comparison between a gesture performed by the user in the captured image and the selected gesture to determine whether there is a match between the gesture performed by the user and the selected gesture.

Abstract: A mechanism is described to facilitate gesture matching according to one embodiment. A method of embodiments, as described herein, includes selecting a gesture from a database during an authentication phase, translating the selected gesture into an animated avatar, displaying the avatar, prompting a user to perform the selected gesture, capturing a real-time image of the user and comparing the gesture performed by the user in the captured image to the selected gesture to determine whether there is a match.

Abstract: Methods, devices, and systems for generating an incident dossier are described herein. One device includes a memory, and a processor configured to execute executable instructions stored in the memory to import data associated with an incident associated with a site, wherein the data is in a number of different forms, receive a number of user inputs associated with the incident, and generate an incident dossier based on the data associated with the incident and the number of user inputs, wherein the incident dossier includes a timeline of the incident, a report of the incident, and a damage assessment of the incident.

Abstract: Methods, devices, and systems for generating an incident dossier are described herein. One device includes a memory, and a processor configured to execute executable instructions stored in the memory to import data associated with an incident associated with a site, wherein the data is in a number of different forms, receive a number of user inputs associated with the incident, and generate an incident dossier based on the data associated with the incident and the number of user inputs, wherein the incident dossier includes a timeline of the incident, a report of the incident, and a damage assessment of the incident.

Abstract: A mechanism is described to facilitate gesture matching according to one embodiment. A method of embodiments, as described herein, includes selecting a gesture from a database during an authentication phase, translating the selected gesture into an animated avatar, displaying the avatar, prompting a user to perform the selected gesture, capturing a real-time image of the user and comparing the gesture performed by the user in the captured image to the selected gesture to determine whether there is a match.

Abstract: Methods, devices, and systems for generating an incident dossier are described herein. One device includes a memory, and a processor configured to execute executable instructions stored in the memory to import data associated with an incident associated with a site, wherein the data is in a number of different forms, receive a number of user inputs associated with the incident, and generate an incident dossier based on the data associated with the incident and the number of user inputs, wherein the incident dossier includes a timeline of the incident, a report of the incident, and a damage assessment of the incident.

Abstract: Methods and systems are disclosed for preprocessing video display pixel data. A preprocessor is provided with a selectable gamma correction mode and a selectable palette lookup mode. In palette lookup mode, a LUT memory area is used for performing a palette lookup for each of the red, green, and blue components of video pixel data, concatenating the paletted red, green, and blue components, and outputting paletted preprocessed pixel data. In gamma correction mode, the preprocessor uses the same LUT memory area for performing gamma correction on each of the red, green, and blue components of video pixel data, concatenating the gamma-corrected red, green, and blue components, and outputting a gamma-corrected preprocessed pixel data.

Abstract: Methods and systems are disclosed for preprocessing video display pixel data. A preprocessor is provided with a selectable gamma correction mode and a selectable palette lookup mode. In palette lookup mode, a LUT memory area is used for performing a palette lookup for each of the red, green, and blue components of video pixel data, concatenating the paletted red, green, and blue components, and outputting paletted preprocessed pixel data. In gamma correction mode, the preprocessor uses the same LUT memory area for performing gamma correction on each of the red, green, and blue components of video pixel data, concatenating the gamma-corrected red, green, and blue components, and outputting a gamma-corrected preprocessed pixel data.