Abstract: A network analysis tool receives network flow information and uses deep learning—machine learning that models high-level abstractions in the network flow information—to identify dependencies between network assets. Based on the identified dependencies, the network analysis tool can discover functional relationships between network assets. For example, a network analysis tool receives network flow information, identifies dependencies between multiple network assets based on evaluation of the network flow information, and outputs results of the identification of the dependencies. When evaluating the network flow information, the network analysis tool can pre-process the network flow information to produce input vectors, use deep learning to extract patterns in the input vectors, and then determine dependencies based on the extracted patterns. The network analysis tool can repeat this process so as to update an assessment of the dependencies between network assets on a near real-time basis.

Abstract: A network analysis tool receives network flow information and uses deep learning—machine learning that models high-level abstractions in the network flow information—to identify dependencies between network assets. Based on the identified dependencies, the network analysis tool can discover functional relationships between network assets. For example, a network analysis tool receives network flow information, identifies dependencies between multiple network assets based on evaluation of the network flow information, and outputs results of the identification of the dependencies. When evaluating the network flow information, the network analysis tool can pre-process the network flow information to produce input vectors, use deep learning to extract patterns in the input vectors, and then determine dependencies based on the extracted patterns. The network analysis tool can repeat this process so as to update an assessment of the dependencies between network assets on a near real-time basis.

Abstract: A surgical tray retains surgical instruments adjacent an operating area or surgical field. The surgical tray comprises a base portion, and outer wall, a compartment for retaining surgical instruments defined by the base portion and at least a portion of the outer wall, and a plurality of clips spaced apart along the outer surface of the outer wall for securing the surgical tray to a surgical drape adjacent the operating area. The compartment includes a plurality of dividing walls having grooves for separating and retaining surgical instruments to enable members of an operating team to quickly and easily grasp surgical instruments in the surgical tray.

Abstract: A control linkage is disclosed for a vehicle such that the vehicle's transmission can be connected to a shift lever located in an isolated cab structure. Movement of the shift lever will obtain corresponding shifting of gear ratios within the transmission. The control linkage permits such shifting while compensating for relative motion between the cab structure and the transmission. The control linkage includes a rotatable shaft which is secured between the cab structure and the transmission and which is also capable of angularly moving relative to both structures. A sleeve is positioned about the support shaft and is secured to it so that both can rotate simultaneously. Extending radially outward from the sleeve is a pair of arms, both of which contain a spherical attachment member positioned adjacent to their outer ends. Attached to these spherical connections are first and second rods which are aligned approximately perpendicular to the support shaft.