Abstract: An exemplary method of displaying an intraoperative image of a surgical site comprises: receiving a plurality of images captured by a plurality of in-light cameras integrated into one or more surgical light units illuminating the surgical site, wherein the plurality of images capture the surgical site from a plurality of different perspectives; identifying an obstruction to the surgical site in an image of the plurality of images; responsive to identifying the obstruction, generating a composite image based on a set of the plurality of images, wherein the composite image excludes the obstruction; and displaying the composite image as the intraoperative image of the surgical site.

Abstract: Techniques described herein relate to a method for performing threat simulations. The method includes preparing a multi-cloud infrastructure (MCI) for live data collection, wherein: the MCI includes components, a first component of the components is associated with a first cloud service provider, and a second component of the components is associated with a second cloud service provider; obtaining, after the preparing, live data from the MCI; generating a prediction using the live data and a prediction model, wherein the prediction specifies whether the live data indicates that there is a threat within the MCI; making a first determination that the prediction indicates a threat associated with the MCI has been identified; and in response to the first determination: performing threat remediation using the prediction and a diagnostic repository.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for extracting and tracing ridges at junctions, including confluences, corners, and terminals. For example, the disclosed systems generate, from a digital image, a pixel ridge using a distance transform and a depth-first traversal of pixels in the digital image. In some embodiments, the disclosed systems determine a junction within the pixel ridge by segmenting the pixel ridge into logical branches. In certain embodiments, the disclosed systems classify the junction as a confluence based on determining that the junction is made up of at least a threshold number of incident branches within the pixel ridge. In some embodiments, the disclosed systems reconstruct the confluence by detecting a region of deformity for the confluence and replacing pixels in the region of deformity with extrapolated pixels connecting incident branches.

Abstract: Embodiments of a device and method are disclosed. In an embodiment, a method of communications involves at a wireless sensor deployed at a customer site, associating with a wireless access point (AP) using a fixed service set identifier (SSID), at the wireless sensor, transmitting an authentication request to an authentication server through the wireless AP, where the authentication request contains a certificate that is stored in the wireless sensor, and at the wireless sensor, receiving an authentication response from the authentication server through the wireless AP in response to the authentication request.

Abstract: Embodiments of a device and method are disclosed. In an embodiment, a method of communications involves at a cloud authentication server, receiving an authentication request of a wireless sensor deployed at a customer site through a wireless access point (AP) to which the wireless sensor is associated, where the authentication request contains a certificate that is stored in the wireless sensor, at the cloud authentication server, performing an authentication operation to determine whether a tenant corresponding to the certificate matches a tenant corresponding to the wireless AP to which the wireless sensor is associated, and at the cloud authentication server, transmitting an authentication response to the wireless sensor through the wireless AP in response to the authentication operation.

Abstract: A system can maintain a group of priority queues for messages, wherein respective existing messages are assigned to respective priority queues of the group of priority queues based on a first policy. The system can change from the first policy to a second policy with respect to the group of priority queues, wherein the changing is performed independently of disrupting delivery of the existing messages. The system can assign respective new messages to the respective priority queues based on the second policy. The system can, based on changing to the second policy, re-order the respective existing messages of the respective priority queues from respective rears of the respective priority queues to respective fronts of the respective priority queues. The system can deliver at least some of the respective existing messages and at least some of the respective new messages from the respective priority queues.

Abstract: A system can receive a group of data packets originated by at least one edge device. The system can decrypt respective data packets of the group of data packets, to reconstruct a file that is represented by the group of data packets. The system can extract a contextual value of the file. The system can input the respective contextual values and a defined rulebook to a retrieval-augmented generation system, wherein the defined rulebook comprises rules applicable to traffic routing in a human-readable format, and wherein the retrieval-augmented generation system outputs a priority for transmission of the group of data packets. The system can transmit the group of data packets to a destination based on the priority and the defined rulebook.

Abstract: Turbofan gas turbine engines and methods are provided. The engines include a fan assembly having an engine rotor hub with fan blades extending radially therefrom configured for rotation of the fan blades, a fan housing structure encircling the fan assembly and including an inner ring that defines an exposed inner surface of the fan housing structure that includes a radially protruding section that defines a recess facing the fan blades and encircling tips thereof, a fan containment structure within the fan housing structure positioned circumferentially around the fan assembly and axially encircling the radially protruding section, and a reinforcing structure fixed to or integrated with an annular portion of the inner ring that is configured to provide greater impact resistance to the forward end of the radially protruding section relative to an aft end thereof.

Abstract: A method for message prioritization includes obtaining, by a message prioritization service, data comprising a first set of messages, each message in the data being associated with communication between a production environment and a data protection system. In response to obtaining the data, the method further includes: performing a data pre-processing on the data to obtain processed data and to identify features, performing a data partitioning of the processed data to obtain a training set and a testing set, performing a model training on the training set using the features by applying a k-nearest neighbors (KNN) algorithm on the training set to obtain a trained model, and deploying the trained model in a data protection system to perform message prioritization of messages.

Abstract: A container load balancer process helps schedule backups of containerized data based on defined attributes and historical data. Containers are classified using a KNN-based classifier based on attributes. A tagger component assigns a priority tag to each container. A monitor monitors an assignment of backup tasks to proxies for the backing up step, and a load balancer determines if the assignment distributes backup loads within a defined performance tolerance, and adjusts the assignment if not. A backup server then backs up the container data in an order determined by the classifying and the assignment or adjusted assignment.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for detecting and tracing ridges in digital images using a ridge detection process that includes a depth-first traversal algorithm. For example, the disclosed systems determine, for a digital image, a distance transform defining distances of foreground pixels from background pixels depicted in the digital image. In some embodiments, the disclosed systems generate a preliminary ridge for the digital image by using a depth-first traversal starting at an initial pixel indicated by the distance transform and growing based on local distance transform comparisons among the foreground pixels of the digital image. In certain embodiments, the disclosed systems also generate a final ridge from the preliminary ridge by removing spurious pixels included in ridge flares.

Abstract: An optical device is configured for scanning a light beam on a surface of a workpiece arranged in the device. The light beam transformed by the workpiece is guided toward a fixed position and according to a fixed orientation with respect to the optical device. The device comprises a deflector configured to produce a deflected beam at a chosen angle and also receiving the transformed beam, a first focusing optic optically disposed between the deflector and the workpiece, a second focusing optic optically disposed between the workpiece and the deflector, and at least one reflecting optic for guiding the scanning beam from the first focusing optic to the second focusing optic.

Abstract: An access control device monitors devices on a local area network and transmits alerts to a premises operator upon detection of any failures based on monitored operational data. The access control device transmits alerts to relevant device maintenance vendors regarding failures. Vendor alerts may be automatic or may be instigated by the premises operator. The vendor may be provided temporary remote access to one or more devices on the premises LAN for troubleshooting, remote repair, or configuration purposes without port forwarding by a network access device. Access rights may be time limited or cease upon completion of a maintenance activity by the vendor, and may be retracted at any time by the premises operator. The access control device limits network access of the vendor to only permitted devices; no other devices on the network are visible to or accessible by the vendor.

Abstract: Techniques described herein relate to a method for performing threat simulations. The method includes preparing a multi-cloud infrastructure (MCI) for live data collection, wherein: the MCI includes components, a first component of the components is associated with a first cloud service provider, and a second component of the components is associated with a second cloud service provider; obtaining, after the preparing, live data from the MCI; generating a prediction using the live data and a prediction model, wherein the prediction specifies whether the live data indicates that there is a threat within the MCI; making a first determination that the prediction indicates a threat associated with the MCI has been identified; and in response to the first determination: performing threat remediation using the prediction and a diagnostic repository.

Abstract: The backup schedule for a group of routine or known clients and data objects is generally defined by default backup policies and priorities, and such policies and data assets demand resources of the system. The resource allocation among data assets being processed is analyzed and reallocated (tuned) as necessary to ensure that critical data assets are provided with the necessary resources for their protection operations. Embodiments use a machine learning (ML) model that would identify the resource consumption for the all the running policies to smartly allocate the optimal number of resources based on the criticality of the data object and their policies.

Abstract: A container prioritization process helps schedule backups of containerized data based on defined attributes and historical data. Containers are classified using a KNN-based classifier based on attributes. A tagger component assigns a priority tag to each container. Containers are backed up by a backup server through a schedule based on the priority tags of the containers. New containers are automatically classified and tagged within the prioritization schedule using the KNN-based classifier.

Abstract: Embodiments provide methods and systems for facilitating scheduled payment transactions to users via an application provided by the server system, the application available on the user device. The method performed by the server system includes receiving a transaction request message from the user device, the transaction request message includes scheduled transaction instruction provided by the user in natural language format. The method includes authenticating the user based on a plurality of user authentication factors received from the user at pre-defined time intervals. In an embodiment, the server system is configured to train a data model using ML algorithms by learning the plurality of user authentication factors based on which the user is automatically authenticated by the server system. Upon successful authentication, the method includes parsing the transaction request message to determine a scheduled transaction instruction.

Abstract: Techniques for granularly classifying and protecting data are disclosed. A service accesses data comprising a first data unit and a second data unit. Based on an analysis of the data, the service assigns the first data unit a first sensitivity level and the second data unit a second sensitivity level. The first sensitivity level is a relatively higher sensitivity level as compared to the second sensitivity level, resulting in the data, as a whole, comprising data with multiple disparate sensitivity levels. The service selects a first encryption algorithm for application against the first data unit and selects a second, different encryption algorithm for application against the second data unit. The service applies the first encryption algorithm to the first data unit and applies the second, different encryption algorithm against the second data unit, resulting in the data being subjected to multiple different encryption algorithms.

Abstract: A dynamic replication service using a data change metric to select an optimum cloning method that reduces latency of data copying. A model is trained using historical data of backup operations of the saveset to establish past data change metrics for corresponding replication services processing the saveset. The best cloning method for the replication service is selected by using a calculated data change rate of the data saveset, as expressed as a number of bytes changed per unit of time, from among a plurality of different cloning methods based on the data change rate. The service executes the selected cloning method for the replication service to copy the data for storage or further processing.

Abstract: A bearing assembly includes an inner race to receive a rotating component having an axis of rotation, and at least one bearing element coupled to the inner race. The at least one bearing element is to rotate with the inner race along the axis of rotation. The bearing assembly includes an outer race coupled to the at least one bearing element, and a bearing housing coupled to the outer race and to be coupled to a static structure. The bearing housing includes a first frangible portion to release upon receipt of a moment load greater than a moment threshold and a second frangible portion to release upon receipt of a radial load greater than a radial threshold.