Abstract: Resiliently impactable control masts and related methods are disclosed. An example control panel includes a post to support a control box for the control panel. The example control panel also includes a deflection system including: an anchor to support the post, the anchor couplable to a platform; a shaft to extend upward from the anchor along a length of the post; and a shock absorbing body adjacent the shaft, the shock absorbing body to absorb at least some of an impact with the control panel.

Abstract: A telescope mechanism for a steering column includes a jacket. The telescope mechanism also includes a telescope actuator housing mounted to the jacket. The telescope mechanism further includes a capture bracket positioned on the telescope actuator housing and mechanically fastened to the jacket on a first side of the telescope actuator housing and on a second side of the telescope actuator housing.

Abstract: A telescope mechanism for a steering column includes a jacket. The telescope mechanism also includes a telescope actuator housing mounted to the jacket. The telescope mechanism further includes a capture bracket positioned on the telescope actuator housing and mechanically fastened to the jacket on a first side of the telescope actuator housing and on a second side of the telescope actuator housing.

Abstract: A transaction is conducted between a merchant site and a customer's electronic device using a payment processor. The merchant site is associated with a client-side application and a server-side application. The client-side application executes on the customer's electronic device. The client-side application electronically sends payment information retrieved from the customer's electronic device to the payment processor. The client-side application does not send the payment information to the server-side application. The payment processor creates a token from the payment information sent by the client-side application. The token functions as a proxy for the payment information. The payment processor electronically sends the token to the client-side application. The client-side application electronically sends the token to the server-side application for use by the server-side application in conducting the transaction.

Abstract: Railcar ramp systems and related methods are disclosed. An example railcar ramp system includes a carriage slidably coupled to a platform via a track guide. A ramp mover assembly is pivotally coupled to the carriage. The ramp mover assembly positionable between a stored position and an active position. In the active position, the ramp mover to enable movement of the carriage in a lateral direction along the track guide.

Abstract: An edge node has a central processing operable to gather sensor node data via a sensor and store at least part of the sensor node data locally in a public region of a persistent storage. The edge node backs up duplicate portions of the sensor node data to public storage regions of peer-edge nodes. The edge node receives private data from a host that is coupled to the edge computing node and the peer edge nodes, and stores the private data in a private region of the persistent storage. The private region is protected from the peer edge nodes using distributed key management.

Abstract: A transaction is conducted between a merchant site and a customer's electronic device using a payment processor. The merchant site is associated with a client-side application and a server-side application. The client-side application executes on the customer's electronic device. The client-side application electronically sends payment information retrieved from the customer's electronic device to the payment processor. The client-side application does not send the payment information to the server-side application. The payment processor creates a token from the payment information sent by the client-side application. The token functions as a proxy for the payment information. The payment processor electronically sends the token to the client-side application. The client-side application electronically sends the token to the server-side application for use by the server-side application in conducting the transaction.

Abstract: A distributed video management system for distributed processing and storage of captured video data. The distributed video management system includes a plurality of video cameras that each communicate video data to a respective one of a plurality of camera nodes. Each camera node includes a camera manager for processing video data received at the camera node. The camera nodes are in operative communication with storage resources for storage of the video data in a logical storage volume for the system according to a storage policy. The storage policy may include multiple phases with data pruning for controlled reduction of the size of video data stored on disk. The distributed system may also generate and maintain a ledger or database regarding the captured and stored video data to correlate the video data with system metadata and/or analytical metadata regarding the video data.

Abstract: A distributed video management system for video surveillance that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter. As such, the system may provide for load balancing of the processing of video data from the video cameras with reference to the allocation parameter. The change in allocation parameter may be due to a number of potential contexts, including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The allocation parameter may be continually monitored to allocate video cameras to camera nodes in the system for enhanced system performance in view of potentially changing conditions.

Abstract: A system, article, and method of wireless data transmission for virtual or augmented reality head mounted displays.

Abstract: A distributed video management system that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter including selectively dropping at least one camera from the system based on a priority of the camera. The change in allocation parameter may be due to a number of potential contexts including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The disconnection or “dropping” of a camera may be temporary in response to an increase in computational load on the system. The use of priority values of the cameras may allow for sufficient camera coverage to be provided by the system while maintaining processing of video data from higher priority cameras.

Abstract: A distributed video management system for video surveillance that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter. As such, the system may provide for load balancing of the processing of video data from the video cameras with reference to the allocation parameter. The change in allocation parameter may be due to a number of potential contexts, including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The allocation parameter may be continually monitored to allocate video cameras to camera nodes in the system for enhanced system performance in view of potentially changing conditions.

Abstract: A distributed video management system for distributed processing and storage of captured video data. The distributed video management system includes a plurality of video cameras that each communicate video data to a respective one of a plurality of camera nodes. Each camera node includes a camera manager for processing video data received at the camera node. The camera nodes are in operative communication with storage resources for storage of the video data in a logical storage volume for the system according to a storage policy. The storage policy may include multiple phases with data pruning for controlled reduction of the size of video data stored on disk. The distributed system may also generate and maintain a ledger or database regarding the captured and stored video data to correlate the video data with system metadata and/or analytical metadata regarding the video data.

Abstract: A distributed video management system for video surveillance that allows for adaptive transport mechanisms and/or real-time transport mechanisms for delivery of data to a client. The adaptive transport mechanism may include processing video data at distributed camera nodes for delivery to a client at least in part based on a characteristic of the request. In certain contexts, a low-latency real-time transport mechanism may be used to deliver video data to the client. In this regard, the real-time transport mechanism may facilitate decoding of the video data at the client using a standard web browser without requiring extensions, plug-ins, or other software to be installed for use with the native functionality of the browser.

Abstract: A distributed video management system that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter including selectively dropping at least one camera from the system based on a priority of the camera. The change in allocation parameter may be due to a number of potential contexts including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The disconnection or “dropping” of a camera may be temporary in response to an increase in computational load on the system. The use of priority values of the cameras may allow for sufficient camera coverage to be provided by the system while maintaining processing of video data from higher priority cameras.

Abstract: Video analysis in a distributed video management system in which video data from a given camera is sent to at least two distributed camera nodes for simultaneous processing of video data by the distributed camera nodes. In some examples, the respective camera nodes may execute video analysis modules that each apply a different video analysis module to the video data. Video data may, by default, be provided to a first camera node. In turn, upon detection of a trigger, video data may be provided to a second camera node. The trigger may be periodic or, for example, in response to metadata generated by the first video analysis module of the first camera node. In turn, versatile and robust video analysis may be performed by the distributed video management system.

Abstract: An edge node has a central processing operable to gather sensor node data via a sensor and store at least part of the sensor node data locally in a public region of a persistent storage. The edge node backs up duplicate portions of the sensor node data to public storage regions of peer-edge nodes. The edge node receives private data from a host that is coupled to the edge computing node and the peer edge nodes, and stores the private data in a private region of the persistent storage. The private region is protected from the peer edge nodes using distributed key management.

Abstract: One or more networks each include a plurality of sensor nodes operable to communicate public data with each other. Each of the plurality of sensor nodes is operable to gather sensor node data and store the sensor node data locally on the sensor node. Duplicate portions of the sensor node data are distributed to the public data of others of the plurality of sensor nodes via the public data paths for backup storage. The system includes a host that is coupled to individually communicate private data with each of the plurality of sensor nodes. Each of the sensor nodes protects the private data from others of the sensor nodes using distributed key management to ensure distributed encryption.

Abstract: Implementations of the disclosure describe automatically scaling up physical resources in a computing infrastructure. A method of the disclosure includes determining a change to implement in a physical configuration of a cluster in view of utilization of individual virtual resources and individual physical resources in the cluster, the change indicating one or more actions to be performed to modify a non-provisioned physical resource in view of a cluster type of the cluster, and performing, by a processing device without user interaction, an action to implement the change, wherein the change comprises adding the non-provisioned physical resource to the cluster.