Abstract: An accumulator including an enclosure extending around and along a first axis, an inlet port for a refrigerating fluid, and an outlet port for a refrigerating gas, a suction tube for the refrigerating gas, and a deflector mounted in the enclosure, the deflector including a deflector wall having a generally inverted bowl or bell shape centred on a second axis parallel to the first axis and defining at least one first internal cavity in which the inlet of the suction tube is located, the deflector wall further having a first passage for the suction tube, the deflector further including a filtration wall closing the first internal cavity and having a second passage for the suction tube.

Abstract: An illustrative cloud-based air-gapped data storage management (destination) system obtains authorized access to other (source) systems' backup copies, replicates those copies within the destination system, parses supplemental metadata included in the source backup copies, and integrates the replica copies into the destination system as though natively created there. Replica copies are integrated as backup copies without first restoring the source backup copies to a native data format. The source system lacks knowledge of or connectivity with the destination system, thus maintaining an “air gap” between the systems. The destination system preferably operates in a cloud computing environment. The destination system uses supplemental metadata from the replica copies to re-create or mimic the source's computing environment and to restore backed up data from the replica copies.

Abstract: A system for processing patient data associated with a joint of a patient. The system including a computing device executing instructions to provide a bone model of the joint that is representative of the joint of the patient in a first pose. The instructions further including rearranging the bone models relative to each other to mimic a second pose of the joint of the patient from at least one image or model representative of the joint of the patient in the second pose. The instructions further including planning a joint replacement procedure with the bone models after rearranging the plurality of bone models to mimic the second pose of the joint of the patient from the at least one image or model representative of the joint of the patient in the second pose.

Abstract: A method of operating a three-dimensional (3D) metal object manufacturing apparatus selects operational parameters for operation of the printer to form conductive metal traces on substrates with dimensions within appropriate tolerances and with sufficient conductive material to carry electrical currents without burning up or becoming too hot. The method identifies the material of the substrate and the bulk metal being melted for ejection and uses this identification data to select the operational parameters. Thus, the method can form conductive traces and circuits on a wide range of substrate materials including polymeric substrates, semiconductor materials, oxide layers on semiconductor materials, glass, and other crystalline materials.

Abstract: Enhanced training data representative of possible inputs is used to train a machine learning system. For example, a machine learning system to determine identity based on an image of a human palm may be trained using enhanced training data comprising images. The enhanced training data may comprise source images that have been modified to appear to depict synthetic artifacts that attempt to simulate human palms, augmented images of dirty hands, and so forth. A synthetic artifact image may be produced by selectively removing some data from a source image. An augmented image may be produced by selectively blending the source image with features extracted from sample images. These images may then be used as training data to train the machine learning system.

Abstract: Methods are presented herein for a reduced state machine that describes nodes and relationship dynamics representing real network elements (networking devices and software processes) in a computer/data network, and abstracted logical items. Logical states of networking features of the network elements are reflected in the graph, while configuration data is stored for completeness. A method called a “Versioner Algorithm” is provided to record the temporal history of a node and its state over time within the node's metadata itself, while recorded relationships represent logical relations between observed nodes. A method is also provided to time-travel back to observe a historical view of the network. Further still, a method is provided to a difference of two historical topologies and return that data in human-readable or machine consumable form.

Abstract: Techniques for fingerprint encoded gesture initiation of device actions are described and are implementable to perform a variety of functionality based on touch-based gestures that are fingerprint encoded. For instance, a mobile device receives an input including a touch-based gesture. The mobile device generates fingerprint identity information based on the touch-based gesture, such as by a fingerprint sensor area that is operable to detect a pattern of a fingerprint in contact with the fingerprint sensor area. Based on the fingerprint identity information, the mobile device determines that the fingerprint identity information is associated with a user of the mobile device. The mobile device then performs an action that corresponds to the touch-based gesture, e.g., based on a shape of the gesture. In one example, the action includes display of a customized user interface associated with a user profile that corresponds to the touch-based gesture.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a user equipment (UE) in a wireless communication system is provided. The method includes detecting triggering of a first random access channel (RACH) procedure running on a primary stack at the UE upon detection of a RACH trigger condition on the primary stack, while the UE is connected to at least one cell, detecting triggering of a second RACH procedure while the first RACH procedure is ongoing in the UE, wherein the second RACH procedure is different from the first RACH procedure, enabling a dual active protocol stack (DAPS) capability to initiate a secondary stack for handling the second RACH procedure, performing the first RACH procedure on the primary stack and the second RACH procedure on the secondary stack, simultaneously, and disabling the secondary stack upon successful completion of the second RACH procedure.

Abstract: A network management system includes a memory configured to store a machine learning model and processing circuitry in communication with the memory. The processing circuitry is configured to receive network data from a plurality of network devices of an internal network managed by the network management system. The internal network may be connected to an external network isolated from the network management system. Additionally, the processing circuitry is configured apply the machine learning model to detect, based on the network data, a network failure within the external network and perform a corrective action to remediate the network failure within the external network.

Abstract: A network management system instructs a first network device to obtain one or more parameters related to a Wireless Area Network (WAN) link between the first network device and a second network device. The network management system executes a machine learning system configured to apply, to the one or more parameters related to the WAN link, a machine learning model trained with parameters of links to predict bandwidths of the links, to predict a maximum bandwidth of the WAN link. The network management system outputs an indication of the predicted maximum bandwidth of the WAN link.

Abstract: Techniques for measuring a monument, including obtaining a set of two or more images of a monument environment, detecting a set of markers in the set of images, wherein the set of markers are positioned on a plane level with respect to gravity by a leveling device, and wherein the leveling device is configured to automatically level the markers, generating a virtual representation of the monument environment with respect to gravity, mapping the monument to a virtual representation, determining one or more slopes and dimensions of the monument based on the mapped monument and the gravity plane, and outputting the one or more slopes and dimensions of the monument.

Abstract: Disclosed herein are methods and systems for analyzing a cross-sectional feature of a structural element on a semiconductor wafer to determine whether an isolated or a systemic failure to reach preselected parameters occurred.

Abstract: Circuitry and methods for implementing one or more Keccak permutation instructions are described. In certain examples, a hardware processor (e.g.

Abstract: A semiconductor device including a contact plug formed in a contact hole using a multi-stage contact etch process. The semiconductor device comprises a source/drain region over a semiconductor substrate, an oxide layer extension extending from the source/drain region toward a gate dielectric layer, and a contact plug extending through a dielectric layer over the source/drain region, the contact plug extending through a first etch stop layer and a second etch stop layer to a horizontal remaining portion of the oxide layer extension.

Abstract: A projector system for a head up display within a vehicle includes a vehicle vector graphics projector adapted to project a second graphical image onto the inner surface of the windshield of the vehicle, the second graphical image having a greater brightness than the first graphical image and including at least one vehicle tell-tale, and a calibration system adapted to test and calibrate a displayed tell-tale within the second graphical image.

Abstract: Techniques for improved Keccak execution resilient to physical side-channel attacks are described. In some examples, a Keccak round datapath includes a first path including a theta step, a rho step, a pi step, and an iota step to process a masked version of the 1600-bit input state, a second path including a theta step, a rho step, and a pi step to process a mask 1600-bit input state, and a masked chi step shared by the first path and second path.

Abstract: Systems and methods for reconciling location based on multiple computing device signals. For example, the computing system can obtain location datasets associated with freight carrier services from computing sources. The computing system can determine an expected signal pattern for a location associated with a freight transportation service. The computing system can determine, for each computing source, a confidence score. The confidence score can represent the probability that the respective location dataset is associated with a load being transported for a freight transportation service. The computing system can determine a primary location dataset based on the confidence scores. The computing system can perform actions based on the primary location dataset.

Abstract: In one embodiment, a receiver includes: an analog front end (AFE) circuit to receive and process an incoming radio frequency (RF) analog signal comprising a packet; an analog-to-digital converter (ADC) coupled to the AFE circuit to receive and digitize an analog signal based on the RF analog signal into a digital signal; a packet detector coupled to the ADC to detect the packet based on the digital signal; and a computation circuit coupled to the packet detector. The computation circuit may be configured to determine a received signal strength indicator (RSSI) value based at least in part on a portion of a preamble of the packet.

Abstract: Techniques are described for managing network traffic based on anomaly data. The anomaly data can be collected from network devices. A controller can identify, based on the anomaly data, identifiers, classifications, severities, and other characteristics, can be utilized to generate risk weights associated with the devices. The risk weights can be generated based on numbers of occurrences of the anomalies and the severities. Estimated risk scores associated with the devices can be generated based on the risk weights and anomaly frequencies associated with the classifications of the anomalies. The servers and the controllers can exchange communications with the devices to control the devices, and traffic associated therewith, based on the estimated risk scores.

Abstract: A composition comprising S-metolachlor (S-MOC). sulfentrazone. metribuzin, and N. N-dimethyl lactamide. preferably wherein the composition is an Emulsion Concentrate (EC).