Abstract: A method and system for quality control of a digital facility based on machine learning. The system connects a plurality of elements associated with a plurality of regions of the digital facility. The system allocates a unique identity to the plurality of elements. The system receives a set of data associated with the plurality of regions. The system collects a set of data associated with a plurality of micro descriptors. The system processes the second set of data to discover a plurality of patterns. The system predicts issues associated with the plurality of elements. The system assigns high severity issue to the one or more severe issues. The system stores information associated with the digital facility. The system updates the patterns associated with the plurality of elements. The system recommends characteristic parameters to the plurality of elements. The system notifies manpower associated with the digital facility.

Abstract: A method and system for quality control of a facility based on Internet of things. The system obtains data of the facility from plurality of architectural sources. The system creates a digital replica of the facility and defines plurality of control point levels for each region of the plurality of regions. The system allocates plurality of smart devices based on plurality of micro-descriptors. The system collects data associated with the facility and deciphers the data into one or more matrix. The system analyzes data with the pre-defined standard quality matrix in real time. The system assigns a degree of severity of the identified one or more issues. The system apprises one or more workforces associated with the facility to resolve the one or more issues including high degree of severity and the plurality of smart devices to take action to resolve the one or more issues.

Abstract: A centralized barcode system is described. The centralized barcode system includes a barcode generation system configured to create a customized barcode by creating a new barcode or enhancing an existing barcode.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for identifying compromised computing devices in a computer network. A threat detection engine can gather network data describing performance of a secured computer network. The secured computer network can include a set of computing devices. The threat detection server can apply a set of threat detection algorithms to the network data to yield threat detection data for the secured computer network. The threat detection engine can then calculate, based on the threat detection data, a threat value for at least a first computing device from the set of computing devices. The threat value can indicate an estimated likelihood that the first computing device has been compromised and/or the severity of the compromise. The threat detection server can then present a visual representation of the threat value for at least the first computing device from the set of computing devices.

Abstract: A centralized barcode system is described. The centralized barcode system includes a barcode generation system configured to create a customized barcode by creating a new barcode or enhancing an existing barcode.

Abstract: The present invention collects raw packet data related to network traffic flow over the course of time. By combining metadata from the application layer and/or session layer with user and device identity data as well as indicators of a network threat that are received from threat feeds, information concerning pre-existing or post-mortem network incidents may be identified. Based on the nature of a particular network threat and a collective history of network traffic flow over the course of time, analytics may allow for identification of compromised users, files, and network nodes. Such an identification may in turn allow for removal, rehabilitation, or further investigation.

Abstract: A centralized barcode system is described. The centralized barcode system includes a barcode generation system configured to create a customized barcode by creating a new barcode or enhancing an existing barcode.

Abstract: A centralized barcode system is described. The centralized barcode system includes a barcode generation system configured to create a customized barcode by creating a new barcode or enhancing an existing barcode.

Abstract: An activation detector for fast-neutrons has a yttrium target exposed to a neutron source. Fast-neutrons which have energy in excess of 1 MeV (above a threshold energy level) generate gamma rays from a nuclear reaction with the yttrium, the gamma rays having an energy level of 908.96 keV, and the resultant gamma rays are coupled to a scintillator which generates an optical response, the optical response of the scintillator is coupled to a photomultiplier tube which generates an electrical response. The number of counts from the photomultiplier tube provides an accurate indication of the fast-neutron flux, and the detector is exclusively sensitive to fast-neutrons with an energy level over 1 MeV, thereby providing a fast-neutron detector which does not require calibration or the setting of a threshold.