Abstract: Disclosed is a system for retinal imaging. The type of image to be captured is selected by a user. Corresponding fixation stimulus is displayed on a fixation screen of the disclosed device for the subject to fix their gaze on. The device comprises illumination sources and, illumination optics and imaging optics, a 3-D accelerometer, and a camera. Signal from the 3-D accelerometer, and the video of the eye of the subject captured by camera are used by a computing device that uses AI techniques to vary the position of the fixation stimulus to obtain a stabilized image of the eye of the subject. The position of the fixation stimulus is varied to compensate for the movement of the handheld device to obtain a stabilized retinal image. Once stabilized, the image is captured.

Abstract: Systems for cluster computing. A method for detection and remediation of degraded nodes in a cluster commences upon measuring operational aspects of the nodes in the cluster, then determining, based on the measurements and other factors, a suspect set of nodes comprising one or more suspect nodes from the nodes in the cluster that have measurements that are determined to be outliers with respect to remaining nodes that are determined not to be the outliers. A density-based spatial clustering analysis is performed over the suspect set and remediation actions are initiated when results of the density-based spatial clustering analysis identifies a suspect node as being a degraded node.

Abstract: Systems and methods for high availability computing systems. Systems and methods include disaster recovery of two-node computing clusters. A method embodiment commences upon identifying a computing cluster having two nodes, the two nodes corresponding to a first node and a second node that each send and receive heartbeat indications periodically while performing storage I/O operations. One or both of the two nodes detect a heartbeat failure between the two nodes, and in response to detecting the heartbeat failure, one or both of the nodes temporarily cease storage I/O operations. A witness node is accessed in an on-demand basis as a result of detecting the heartbeat failure. The witness performs a leadership election operation to provide a leadership lock to only one requestor. The leader then resumes storage I/O operations and performs one or more disaster remediation operations. After remediation, the computing cluster is restored to a configuration having two nodes.

Abstract: Systems for cluster computing. A method for detection and remediation of degraded nodes in a cluster commences upon measuring operational aspects of the nodes in the cluster, then determining, based on the measurements and other factors, a suspect set of nodes comprising one or more suspect nodes from the nodes in the cluster that have measurements that are determined to be outliers with respect to remaining nodes that are determined not to be the outliers. A density-based spatial clustering analysis is performed over the suspect set and remediation actions are initiated when results of the density-based spatial clustering analysis identifies a suspect node as being a degraded node.

Abstract: Systems and methods for high availability computing systems. Systems and methods include disaster recovery of two-node computing clusters. A method embodiment commences upon identifying a computing cluster having two nodes, the two nodes corresponding to a first node and a second node that each send and receive heartbeat indications periodically while performing storage I/O operations. One or both of the two nodes detect a heartbeat failure between the two nodes, and in response to detecting the heartbeat failure, one or both of the nodes temporarily cease storage I/O operations. A witness node is accessed in an on-demand basis as a result of detecting the heartbeat failure. The witness performs a leadership election operation to provide a leadership lock to only one requestor. The leader then resumes storage I/O operations and performs one or more disaster remediation operations. After remediation, the computing cluster is restored to a configuration having two nodes.