Abstract: Disclosed is an object tracker (106) having an imaging unit (202) and a light detection and ranging (LIDAR) unit (204). The imaging unit (202) is configured to capture one or more images of space around the object tracker (106) to search for a resident space object (RSO) (102a) in the space. Upon detection of the RSO (102a), the imaging unit (202) determines a first set of attributes of the RSO (102a). The LIDAR unit 204 is configured to activate upon receipt of the first set of attributes from the imaging unit (202) such that the LIDAR unit (204) emits, based on the first set of attributes, a laser beam towards the RSO (102a) to determine a second set of attributes of the RSO (102a).

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: According to an embodiment herein, a method of fabricating (100) a proton dosimeter (200) including; filing off (104) a frontal surface of a light emitting diode (LED) (120) and a frontal surface of a light-to-frequency converter (LFC) (124); exposing a plurality of first sensitive zone (122) of the LED (120) and a plurality of second sensitive zone (123) of the LFC (124); bonding (108) the plurality of first sensitive zones (122) and the plurality of second sensitive zones (123) by acrylic glue; wrapping (110) the sensitive zone interface of the LED (120) and the LFC (124) in a metal foil (111) and a polymer tape (113); and filling a gap between the metal foil (111) and a plurality of terminal leads (115) of the LED (120) and the LFC (124) with acrylic polymer aliquots (125)

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.