Abstract: The present invention provides a swarm manufacturing platform, based on a swarm 3D printing and assembly (SPA) platform as a model for future smart factories, consisting of thousands of IoT-based mobile robots performing different manufacturing operations with different end effectors (e.g., material deposition, energy deposition, pick and place, removal of materials, screw driving, etc.) and real-time monitoring. The swarm manufacturing platform transforms a 1-D factory into a 2-D factory with manufacturing robots that can move across the 2-D factory floor, work cooperatively with each other on the same production jobs, and re-configure in real-time (i.e., the manufacturing robots can be digitally controlled to move, re-group, calibrate, and work on a new job in real-time).

Abstract: A guy plate for introducing tensile forces into the substrate by means of threaded rods, with a base plate anchored on the bottom, having a number of threads distributed in a planar manner with different inclinations, through which the threaded rods are screwed, wherein the base plate consists of a bend profile repeatedly bent parallel to its longitudinal extension, deflecting upwards at an angle out of the surface of the base plate.

Abstract: A screwing-in system for inserting a threaded rod in the axial direction into a substrate, having a drive machine which rotationally drives a drive sleeve, it being possible to insert the threaded rod into the drive sleeve arranged on the drive machine, which drive sleeve can be connected to the threaded rod in a form-fitting manner and thus rotationally drives the threaded rod, wherein a component provided with an internal thread is fixed between the drive machine and the substrate, which component converts the rotational movement of the drive sleeve into a translational movement of the threaded rod, wherein the screwing-in machine is mounted on a carriage which is movable relative to the component.

Abstract: A computer-implemented method of managing computer vulnerabilities is disclosed. The method comprises detecting one or more processes running on a particular computing system during a particular period of time including now; and determining a set of active vulnerabilities that are associated with the one or more processes from a plurality of vulnerabilities. The method also comprises determining, for each vulnerability of the set of active vulnerabilities, context metadata related to a process or an application associated with the vulnerability, including how often the application has been executed, for how long the process has run, or when in the particular period of time the process was, is, or will be running. The method further comprises ranking the set of active vulnerabilities based on the context metadata for each active vulnerability to obtain a ranked order; and transmitting information related to the ranking to a device.

Abstract: Techniques for selectively remediating vulnerabilities for assets of a computing system is disclosed. The vulnerability management system identifies “active” vulnerabilities associated with “active” computing assets that have been determined to be currently running, or to have been recently run, on the system using system call data. By limiting remediation to vulnerabilities associated with software packages of active computing assets, remediation/mediation efforts can be focused on vulnerabilities that may be currently exploited for the system. The list of active vulnerabilities identified for a system may be updated in real time based on continued monitoring of runtime operations of the system. Additional context metadata may be associated with the active vulnerabilities to allow for further prioritization of vulnerability management activities.