Abstract: A method for detecting and modeling objects in space using LIDAR is disclosed. The method includes transmitting a laser beam to detect at least one object in space. Further, the method includes detecting one or more data related to at least one object. The detection is based upon the principle of reflection of the object in a vacuum. Further, said one or more data related to at least one object obtained from the detection unit is processed. Further, one or more information is determined from the processed data related to at least one object. The one or more information is mapped corresponding to the related at least one object. The method further comprises measuring one or more parameters associated with at least one of the mapped objects and modeling the measurement data related to at least one of the mapped objects.

Abstract: A system of remote nodes may be divided into sets of partner nodes. One remote node becomes a partner of another remote node. As partners, the nodes agree to monitor each other's health and report anomalies, such as a failure of one of the nodes, to a monitoring server. The nodes do so using a persistent communication link, such as an open socket. Using the described techniques, the monitoring load of a system is distributed in part away from the monitoring server and to the nodes themselves. This may reduce the resources required of the monitoring server. At the same time, since nodes are now being monitored by partner nodes that are likely to be closer than the monitoring server, and/or on account of the monitoring being performed via a persistent communication link, certain failures can be detected in real-time or near real-time.

Abstract: A system of remote nodes may be divided into sets of partner nodes. One remote node becomes a partner of another remote node. As partners, the nodes agree to monitor each other's health and report anomalies, such as a failure of one of the nodes, to a monitoring server. The nodes do so using a persistent communication link, such as an open socket. Using the described techniques, the monitoring load of a system is distributed in part away from the monitoring server and to the nodes themselves. This may reduce the resources required of the monitoring server. At the same time, since nodes are now being monitored by partner nodes that are likely to be closer than the monitoring server, and/or on account of the monitoring being performed via a persistent communication link, certain failures can be detected in real-time or near real-time.