Abstract: A method for determining a safe state for a vehicle includes disposing a camera at a vehicle and disposing an electronic control unit (ECU) at the vehicle. Frames of image data are captured by the camera and provided to the ECU. An image processor of the ECU processes frames of image data captured by the camera. A condition is determined via processing at the image processor of the ECU frames of image data captured by the camera. The condition includes a shadow present in the field of view of the camera within ten frames of image data captured by the camera or a damaged condition of the imager within two minutes of operation of the camera. The ECU determines a safe state for the vehicle responsive to determining the condition.

Abstract: A method for determining a safe state for a vehicle includes disposing a camera at a vehicle and disposing an electronic control unit (ECU) at the vehicle. Frames of image data are captured by the camera and provided to the ECU. An image processor of the ECU processes frames of image data captured by the camera. A condition is determined via processing at the image processor of the ECU frames of image data captured by the camera. The condition includes a shadow present in the field of view of the camera within ten frames of image data captured by the camera or a damaged condition of the imager within two minutes of operation of the camera. The ECU determines a safe state for the vehicle responsive to determining the condition.

Abstract: A method for determining a safe state for a vehicle includes disposing a camera at a vehicle and disposing an electronic control unit (ECU) at the vehicle. Image data is captured via the camera and provided to the ECU. An image processor of the ECU processes captured image data. A condition is determined via processing at the image processor of the ECU captured image data. The condition comprises a shadow present in the field of view of the camera within ten frames of captured image data or a damaged condition of the imager within two minutes of operation of the camera. The condition is indicative of a condition where processing of captured image data degrades in performance. The ECU determines a safe state for the vehicle responsive to determining the condition.

Abstract: A computing system may include a fail-safe learning engine configured to access camera data captured by multiple cameras positioned within an environment during a learning phase, generate training data based on the camera data captured by the multiple cameras, and construct a human detection model using the training data. The computing system may also include a fail-safe trigger engine configured to access camera data captured by the multiple cameras positioned within the environment during an active phase, and the camera data captured during the active phase may include a target object. The fail-trigger engine may further be configured to provide, as an input to the human detection model, the camera data that includes the target object and execute a fail-safe action in the environment responsive to the determination, provided by the human detection model, indicating that the target object is a human.

Abstract: A method for providing cybersecurity to an industrial system having multiple components includes monitoring communications across the components of the system and detecting a deviation in an expected communication state in a first component. Upon detection of a deviation, communication states of at least one other component in the system is observed. If a deviation is also detected in the other component, then the deviation is deemed to be unauthorized. If no other deviations are detected in other components, the original deviation is deemed to be benign. Detecting a deviation includes comparing an expected communication state based on a baseline to the current communication state, the communication state may be based on a communication's content or a pattern of communication actions.

Abstract: Methods and systems are provided for evaluating robustness of engineering components. An example method includes receiving an engineering problem definition for a multidimensional engineering domain of an engineering component, in which the engineering problem definition includes a description of a plurality of engineering features of the engineering component. Executing an optimal stratified sampling algorithm that obtains a plurality of probabilistic samples from the multidimensional engineering domain. Selecting optimal combinations of higher fidelity models, reduced order models and response surfaces for execution of the probabilistic samples. Executing the probabilistic samples using the selected combinations to determine a respective engineering response for each engineering feature of the plurality of engineering features.

Abstract: Approaches for processing captured image to detect facial portion of a user within the captured image are described. In an example, a facial image from the processed captured image may be derived. Based on the derived facial image, determining a set of specular features and texture-based feature vector. Based on the specular features and the texture-based feature vector, whether the facial image is of a facial substitute or not may be ascertained.

Abstract: In a computer-implemented method for upgrading a fault tolerant hyper-converged infrastructure in an environment with no additional physical infrastructure, a workload domain having a plurality of hosts is chosen for an upgrade. One or more conflict groups are calculated for each host, and a physical host in the workload domain is selected. A number and a size of one or more nested hosts is determined and a different nested host is created in a management cluster for each of the one more conflict groups in the physical host. A communication network provides communication between a virtual machine (VM) on the different nested host and a VM in the physical host. The physical host is put into a maintenance mode, upgraded, and then returned from the maintenance mode to an operational mode.

Abstract: Technical solutions are described for performing sensitivity analysis for engineering systems in spatial-temporal domain. An example method includes receiving a set of process parameters and retrieving a multidimensional dataset containing historical values of the process parameters and corresponding output values. The method further includes selecting a sampling algorithm to divide the multidimensional dataset into multiple subspaces, and selecting multiple samples (xi), one sample from each subspace. The method further includes perturbing the samples, computing a first effect (EEi) on an output value (y), and computing a second effect (SEEii) of perturbing a pair of samples (xi and xj) on the output value. The method further includes computing a sensitivity coefficient of the process parameters on the output value using the second effect for xi and xj, the first effect for xi, and the first effect for xj. An automatic visualization scheme for the global sensitivity results is also provided.

Abstract: In a computer-implemented method for using a nested host manager in a hyper converged infrastructure to streamline the upgrade process for one or more hosts in a workload domain, a first workload domain having one or more hosts is chosen, and at least one host of the one or more hosts is designated for an upgrade. The resource allotment of the at least one host is evaluated and a nested host having a comparable resource allotment is selected and provided in a second workload domain. Communication is redirected from the at least one host to the nested host. The at least one host is placed in a maintenance mode, updated, and returned to an operational mode.

Abstract: Systems and methods herein can provide virtual resource management for hyper-converged infrastructures. In an example, a method can include identifying an overloaded cluster requesting at least one resource, the overloaded cluster including a hypervisor on a virtual machine. The method can further include identifying an additional cluster having a free resource corresponding to the requested resource. The method can include instantiating a nested host on the additional cluster, the nested host being configured to provide the free resource and the nested hosted comprising an additional hypervisor that manages an additional virtual machine. Further, the method can include registering the nested host with the overloaded cluster such that the overloaded cluster is authorized to use the free resource.

Abstract: A method for determining a safe state for a vehicle includes disposing a camera at a vehicle and disposing an electronic control unit (ECU) at the vehicle. Image data is captured via the camera and provided to the ECU. An image processor of the ECU processes captured image data. A condition is determined via processing at the image processor of the ECU captured image data. The condition comprises a shadow present in the field of view of the camera within ten frames of captured image data or a damaged condition of the imager within two minutes of operation of the camera. The condition is indicative of a condition where processing of captured image data degrades in performance. The ECU determines a safe state for the vehicle responsive to determining the condition.

Abstract: A system for treating an aneurysm comprises an elongate flexible shaft and an expandable member. An expandable scaffold is disposed over the expandable member and may be expanded from a collapsed configuration to an expanded configuration. A double-walled filling structure is disposed over the scaffold and has an outer wall and an inner wall. The filling structure is adapted to be filled with a hardenable fluid filing medium so that the outer wall conforms to an inside surface of the aneurysm and the inner wall forms a substantially tubular lumen to provide a path for blood flow. In the expanded configuration the scaffold engages the inner wall of the filling structure. A tether is releasably coupled with the filling structure and the flexible shaft thereby constraining axial movement of the structures relative to each other.

Abstract: A power module is disclosed that includes a housing with an interior chamber wherein multiple switch modules are mounted within the interior chamber. The switch modules comprise multiple transistors and diodes that are interconnected to facilitate switching power to a load. In one embodiment, at least one of the switch modules supports a current density of at least 10 amperes per cm2.

Abstract: In one example implementation according to aspects of the present disclosure, a computer-implemented method includes identifying, by a processing device, a transition feature of the object based at least in part on point cloud data corresponding to the object. The method further includes performing, by the processing device, a geometric analysis on the transition feature of the object based at least in part on a curvature deviation. The method further includes generating a fitted parametric surface for the object based at least in part on the transition feature of the object and results of the geometric analysis on the transition feature of the object.

Abstract: A vertical field-effect transistor (FET) device includes a monolithically integrated bypass diode connected between a source contact and a drain contact of the vertical FET device. According to one embodiment, the vertical FET device includes a pair of junction implants separated by a junction field-effect transistor (JFET) region. At least one of the junction implants of the vertical FET device includes a deep well region that is shared with the integrated bypass diode, such that the shared deep well region functions as both a source junction in the vertical FET device and a junction barrier region in the integrated bypass diode. The vertical FET device and the integrated bypass diode may include a substrate, a drift layer over the substrate, and a spreading layer over the drift layer, such that the junction implants of the vertical FET device are formed in the spreading layer.

Abstract: Approaches for processing captured image to detect facial portion of a user within the captured image are described. In an example, a facial image from the processed captured image may be derived. Based on the derived facial image, determining a set of specular features and texture-based feature vector. Based on the specular features and the texture-based feature vector, whether the facial image is of a facial substitute or not may be ascertained.

Abstract: A vision system for a vehicle includes a camera configured to be disposed at a vehicle so as to have a field of view exterior of the vehicle. A processor is operable to process image data captured by the camera. The vision system determines conditions where processing of captured image data degrades in performance due to environmental conditions. The vision system, responsive to a determined condition, determines a safe state for image processing of captured image data for that determined condition. A failsafe algorithm, responsive to processing of image data captured by the camera and responsive to the determined condition, and in accordance with the determined safe state for that determined condition, determines true negatives and avoids false positives and false negatives.

Abstract: A network appliance deployed in a visibility fabric may intelligently drop certain low priority traffic to avoid indiscriminate dropping of data packets across all flow maps during periods of high congestion. More specifically, the network appliance may determine the data packets of a flow map should be dropped based on priority measures assigned on a per-flow map basis. Such a technique enables the network appliance to drop low priority traffic and forward high priority traffic downstream. Also introduced herein are techniques for metering traffic in order to gain better control over the traffic that is forwarded to an egress port of a network appliance. Because a network tool connected to the egress port can become easily overwhelmed, the network appliance may filter the traffic based on the priority of the flow maps to ensure that the network tool does not receive more traffic than can be handled.

Abstract: A power metal-oxide-semiconductor field-effect transistor (MOSFET) includes a substrate, a drift layer over the substrate, and a spreading layer over the drift layer. The spreading layer includes a pair of junction implants separated by a junction gate field effect (JFET) region. A gate oxide layer is on top of the spreading layer. The gate contact is on top of the gate oxide layer. Each one of the source contacts are on a portion of the spreading layer separate from the gate oxide layer and the gate contact. The drain contact is on the surface of the substrate opposite the drift layer.