Abstract: Systems and processes are disclosed to preserve data integrity during a storage controller failure. In some examples, a storage controller of an active-active controller configuration can back-up data and corresponding cache elements to allow a surviving controller to construct a correct state of a failed controller's write cache. To accomplish this, the systems and processes can implement a relative time stamp for the cache elements that allow the backed-up data to be merged on a block-by-block basis.

Abstract: The disclosed computer-implemented method may include accessing defect identification data that identifies defects in frames of video content. The method may also include generating, as part of the interactive user interface, an interactive element that presents the frames of video content. The method may further include generating, as part of the interactive user interface, another interactive element that presents selectable metadata items associated with the identified defects in the frames of video content. At least one of the selectable metadata items may include an associated user interface action. Then, upon receiving an input selecting one of the selectable metadata items, the method may include performing the associated user interface action. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A computer device may include a processor configured to obtain key performance indicator (KPI) values for KPI parameters associated with at least one device and compute a set of historical statistical values for the obtained KPI values associated with the network device. The processor may be further configured to provide the KPI values and the computed set of historical statistical values to an anomaly detection model to identify potential anomalies; filter the identified potential anomalies based on a designated desirable behavior for a particular KPI parameter to identify at least one anomaly; and send an alert that includes information identifying the at least one anomaly to a management system or a repair system associated with the device. The computer device may further determine a root cause KPI parameter for the identified at least one anomaly and include information identifying the determined root cause KPI parameter in the alert.

Abstract: An exemplary pushbutton mechanism is configured for use with a lockset including a spindle and a plunger extending into the spindle, and generally includes a first component, a second component, and a cam interface. The first component is configured for rotational coupling with the plunger and for axial coupling with the spindle, and is rotatable between a locking orientation and an unlocking orientation. The second component is configured for rotational coupling with the spindle and for axial movement relative to the first component and the spindle, and is axially movable between a depressed position and a projected position. The cam interface is configured to correlate rotation of the first component with axial displacement of the second component.

Abstract: A releasable restraint for an evacuation system includes a plug body and a socket body. A ball, a plunger, a first spring member, and an adjustable fastener are disposed at least partially within the plug body. A spring force of the first spring member is adjustable in response to moving the adjustable fastener with respect to the plug body. The first spring member urges the plunger against the ball, and in response, the ball extends through a sidewall of the plug body and at least partially through a sidewall of the socket body to lock the plug body to the socket body. In response to a tensile force applied to the releasable restraint, the ball is configured to retract at least partially into the plug body, against the urging of the first spring member, to release the socket body from the plug body.

Abstract: A system includes a processor and memory. The memory stores a model database including models and a classification database including classification scores corresponding to an input. The memory stores instructions for execution by the processor. The instructions include, in response to receiving a first input from a user device of a user, determining, for the first input, classification scores for classifications by applying the models to the first input. Each model determines one of the classification scores. The instructions include storing the classification scores as associated with the first input in the classification database and identifying the first input as within a first classification in response to a first classification score corresponding to the first classification exceeding a first threshold. The instructions include transmitting, for display on an analyst device, the first input based on the first classification to a first analyst queue associated with the first classification.

Abstract: The present invention is a mechanical ventilation device which delivers intermittent positive pressure ventilation by compressing AMBU. As the device uses existing AMBU for the ventilation, it is intended to automate the process of hand ventilation and will hence keep the costs and skill requirement low. Due to usage of the AMBU and simple mechanics, it is easy to manufacture and maintain the device.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving receipt data associated with an entity. Policy questions associated with the entity are associated with at least one policy question answer that corresponds to a conformance or a violation of a policy selected by the entity. For each policy question, a machine learning policy model is identified for the policy question that includes, for each policy question answer, receipt data features that correspond to the policy question answer. The machine learning policy model is used to automatically determine a selected policy question answer to the policy question by comparing features of extracted tokens to respective receipt data features of the policy question answers that are included in the machine learning policy model. In response to determining that the selected policy question answer corresponds to a policy violation, an audit alert is generated.

Abstract: A method for selectively changing an activation status of an access point in a wireless system is described. The wireless system includes a plurality of wireless access points having at least one device for extending wireless signal coverage coupled thereto and a controller. The controller is configured to change the activation status of the at least one extender coupled to the one or more of the plurality of wireless access points based on connection quality of a user device to the wireless system.

Abstract: A retrofit module configured for use with a door closer having a pinion. The retrofit module generally includes a case, an output shaft, a motor, and a control assembly. The output shaft is rotatably mounted in the case, and is configured for rotational coupling with the pinion. The motor is mounted to the case, and is operable to rotate the output shaft in a door-opening direction. The control assembly is mounted to the case, and is configured to operate the motor to drive the output shaft in the door-opening direction in response to an actuating signal.

Abstract: A community mapping platform may receive an image that depicts a community layout of a community and may process, using a computer vision model, the image to identify a unit, of the community, that is depicted in the image (e.g., based on identifying a text string and/or a polygon in the image). The community mapping platform may determine sets of community geographical coordinates for a set of reference locations of the community and may map the sets of community geographical coordinates to corresponding reference pixel locations of the image. The community mapping platform may determine, using a geographical information system, unit geographical coordinates of the unit based on the reference pixel locations and may perform an action associated with the unit geographical coordinates.

Abstract: An example controller device that manages a plurality of network devices includes one or more processors implemented in circuitry and configured to: determine that configuration of one or more network devices of the plurality of network devices is to be updated; determine dependencies between types of resources provided by the network devices; construct a directed acyclic graph (DAG) representing the dependencies, the DAG having nodes representing the corresponding types of resources of the network devices of the plurality of network devices; sort the nodes of the DAG according to a grouped topological sort into a plurality of hierarchical levels according to the dependencies; and submit queries for two or more resources of the network devices at a common level of the plurality of hierarchical levels in parallel to determine resources of the determined types of resources of the two or more resources to configure the two or more network devices.

Abstract: Methods for determining a unit load device (ULD) door status are disclosed herein. An example method includes capturing a set of image data featuring the ULD. The example method further includes segmenting the set of image data to identify a top portion of the ULD, and determining an amplitude of the top portion of the ULD. The example method further includes determining the ULD door status based on whether the amplitude of the top portion of the ULD exceeds an amplitude threshold.

Abstract: A system and method are disclosed that leverage multi-factor authentication features of a service provider and intelligent call routing to increase security and efficiency at a customer call center. Pre-authentication of customer support requests reduces the potential for misappropriation of sensitive customer data during call handling. A contactless card uniquely associated with a client may provide a second factor of authentication to reduce the potential for malicious third-party impersonation of the client. Pre-authorized customer support calls are intelligently and efficiently routed in a manner that reduces the opportunity for malicious call interference and information theft.

Abstract: Three-dimensional (3D) imaging systems and methods are disclosed for determining vehicle storage areas and vehicle door statuses. A 3D-depth camera captures 3D image data of one or more vehicle storage areas. A 3D data analytics application (app) analyzes a first 3D image dataset of the 3D image data to determine a first depth measurement corresponding to a first vehicle storage area. The 3D data analytics app further analyzes a second 3D image dataset of the 3D image data to determine a second depth measurement. The 3D data analytics app detects a depth-change event based on the second depth measurement differing from the first depth measurement by more than a predefined depth-change threshold value. The 3D analytics app assigns, based on the depth-change event, an open door status to a new second vehicle storage area and a closed door status to the previous first vehicle storage area.

Abstract: Techniques are described for compressing image data for transmission to a computer system of a remote operator controlling a vehicle. A visual representation of a surrounding environment is generated from one or more images captured at the vehicle. One or more regions of interest in the visual representation are identified based at least on information received from the computer system of the remote operator, the information indicating a direction or area of focus of the remote operator. Regions of interest can be compressed to a lesser extent than regions located outside the regions of interest. The compressed visual representation is transmitted to the computer system for decompression and, ultimately, display on one or more display devices viewed by the remote operator.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving receipt data associated with an entity. Policy questions associated with the entity are associated with at least one policy question answer that corresponds to a conformance or a violation of a policy selected by the entity. For each policy question, a machine learning policy model is identified for the policy question that includes, for each policy question answer, receipt data features that correspond to the policy question answer. The machine learning policy model is used to automatically determine a selected policy question answer to the policy question by comparing features of extracted tokens to respective receipt data features of the policy question answers that are included in the machine learning policy model. In response to determining that the selected policy question answer corresponds to a policy violation, an audit alert is generated.

Abstract: In various embodiments, a defective pixel detection application automatically detects defective pixels in video content. In operation, the defective pixel detection application computes a first set of pixel intensity gradients based on a first frame of video content and a first neighborhood of pixels associated with a first pixel. The defective pixel detection application also computes a second set of pixel intensity gradients based on the first frame and a second neighborhood of pixels associated with the first pixel. Subsequently, the defective pixel detection application computes a statistical distance between the first set of pixel intensity gradients and the second set of pixel intensity gradients. The defective pixel detection application then determines that the first pixel is defective based on the statistical distance.

Abstract: Three-dimensional (3D) imaging systems and methods are described for implementing virtual grading of package walls in commercial trailer loading. The 3D imaging systems and methods comprise capturing, by a 3D-depth camera, 3D image data of a vehicle storage area. A package wall is determined, based on the set of 3D image data and by a 3D data analytics application (app) executing on one or more processors communicatively coupled to the 3D-depth camera, a package wall within the vehicle storage area. A wall grade is assigned to the package wall, where the package wall is defined within the set of 3D image data by a plurality of packages each having a similar depth dimension, and wherein the package wall has a wall height.

Abstract: Three-dimensional (3D) imaging systems and methods are disclosed for detecting and dimensioning a vehicle storage area. A 3D-depth camera captures 3D image data comprising one or more 3D image datasets of the vehicle storage area during corresponding one or more image capture iterations. A 3D data analytics application (app) executing on one or more processors communicatively coupled to the 3D-depth camera and for each one or more image capture iterations, updates a number of planar regions detected within the one or more 3D image datasets. The 3D data analytics app further assigns a vehicle storage area type to the vehicle storage area based on the number of planar regions detected by the 3D analytics app over the one or more image capture iterations.