Abstract: Systems and methods include receiving a request, in a cloud system from a first device, to access a second device; determining if the first device is permitted to access the second device; if the first device is not permitted to access the second device, notifying the first device the second device does not exist; and, if the first device is permitted to access the second device, stitching together connections between the cloud system, the first device, and the second device to provide access to the second device for the first device, wherein the connections are implemented through the cloud-based system.

Abstract: In order to use zero trust network resources distributed across multiple gateways, an agent is deployed on an endpoint of an enterprise network. The agent maps requests for specific applications to corresponding gateways. The agent may also multiplex or otherwise aggregate communications among different network applications and gateways in order to provide seamless, transparent access to the distributed resources at a single endpoint, and/or within a single interface.

Abstract: This disclosure relates generally to method and system for predicting distance of gazed objects using IR camera. Eye tracking technology is widely used to study human behavior and patterns in eye movements. Existing gaze trackers focus on predicting gaze point and hardly analyzes distance of the gazed object from the gazer or directly classify region of focus. The method of the present disclosure predicts gazed objects distance using a pair of IR cameras placed on either side of a smart glass. The gaze predictor ML model predicts distance at least one gazed object positioned from eye of each subject during systematic execution of a set of tasks. From each pupillary information of each pupil a set of features are extracted which are utilized to classify the gazed object of the subject based on the distance into at least one of a near class, an intermediate class, and a far class.

Abstract: Systems and methods for generating decision trees are described. In some embodiments, a computer-implemented method to generate a machine learning decision tree may include accessing data to generate the decision tree, the data comprising a plurality of categorical variables; determining an event rate for each of the plurality of categorical variables generating a recursive tree comprising one or more nodes for the plurality of categorical variables via, for each of the one or more nodes: determining a node split for the one or more nodes based on the event rate for each of the plurality of category variables, the node split to split each of the one or more nodes into two nodes, and determine an encoder based on the node split for each level of the recursive tree; and generating the decision tree using a plurality of encoders comprising the encoder for each level of the recursive tree.

Abstract: A method includes obtaining k-space data acquired by an MRI scanner from a single channel body coil utilizing a multi-shot EP-DWI pulse sequence and sampling the k-space data for a plurality of shots so that for each shot both a central k-space is fully sampled to form a central calibration region and an outer k-space is partially sampled by a factor equal to a number of shots. The method includes reconstructing an initial fully sampled k-space estimate for each shot utilizing both partial Fourier constant sampling and projection on convex sets reconstruction, wherein the plurality of shots is treated as a plurality of channels for filling in missing k-space for a respective shot. The method includes utilizing a low-rank regularization algorithm in an iterative manner to generate a reconstructed image for each shot, wherein the initial fully sampled k-space estimate for each shot is utilized as an initial guess.

Abstract: A method of a user equipment (UE) for establishing a session with one or more Stand-alone Non-Public Networks (SNPNs) includes first sending a service request to a SNPN network entity while the UE is in an idle mode, monitoring a response to the service request based on a first timer and a counter, initiating a second timer in response to determining that the counter exceeds a threshold count, receiving an indication of a change in a current SNPN, or an update associated with a selected entry of the current SNPN, stopping the second timer, and second sending the service request to the SNPN network entity for connection with a new SNPN, or the current SNPN with the update, the second sending being performed in response to determining that the second timer has stopped, and the second sending being performed while the UE remains in the idle mode.

Abstract: An apparatus, a computer-implemented method, and a system for controlling maintenance of canary files. An apparatus includes a canary file module that determine access frequency of files and migrates one or more of the files responsive to the access frequency. At least a portion of said module includes one or more of hardware circuits, programmable hardware devices and executable code, the executable code stored on one or more computer readable storage media.

Abstract: Systems, methods, articles of manufacture, and computer program products to generate decision trees are described. In some embodiments, a computer-implemented method to generate a machine learning decision tree model may include, via at least one processor of a computing device, determining a set of numeric variables for each of the plurality of categorical variables, determining an event rate for each of the plurality of categorical variables, determining, using training data, a plurality of splits for assigning the plurality of categorical variables to nodes of the machine learning decision tree model, wherein the plurality of splits comprises a plurality of multi-categorical splits assigning multiple of the plurality of categorical variables to a single node based on the event rate, and accessing data to generate the machine learning decision tree model comprising a plurality of nodes, at least a portion of the nodes assigned one of the plurality of multi-categorical splits.

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support automated optimization of product management systems. In embodiments, automated optimization of component tools of the product management system is provided by automated evaluation and optimization of associated rules and metadata. In embodiments, metadata and rules may be associated to each other by an assessment engine. A recommendation engine may then identify non-compliant metadata, may determine a condition of the rule, and/or may generate recommendations for the rules based on the non-compliant metadata. Automated optimization of the product management system may include automated creation and mapping of decomposition relationships between commercial products and technical products. In embodiments, input data may be parsed into a set of object with unique attribute fields, which may then be validated.

Abstract: The present application discloses a method, system, and computer system for providing access to data. The method includes receiving, by a data manager service from a data requesting service, a request using an identifier for a high-level data object to access a set of data associated with the high-level data object, determining, by the data manager service, low-level data object(s) corresponding to the set of data based on the identifier for the high-level data object, determining whether a user associated with the request has permission to access at least a subset of the low-level data object(s), and in response to determining that the user associated has permission to access the at least the subset of the low-level data object(s), generating, by the data manager service, a uniform resource locator (URL) via which the at least the subset of the one or more low-level data objects is accessible by the user.

Abstract: In one aspect, a method includes receiving video content comprising a first data portion comprising parameters that control a visual appearance of frames of video content presented by a content-presentation device. The content-presentation device is communicatively coupled to a light unit that is (i) present in a viewing area of the content-presentation device and (ii) configured to provide ambient light in the viewing area. The method also includes extracting, from the received video content, a second data portion, separate from the first data portion, specifying one or more light control parameters that a controller associated with the light unit is configured to interpret as instructions for controlling the light unit. The method also includes transmitting the extracted second data portion to the controller to facilitate the controller controlling the light unit according to the specified one or more light control parameters.

Abstract: Systems and methods for facilitating validation of datasets are disclosed. A system may include a processor. The system may include a data validator implemented via the processor to receive an input dataset including a component metadata. The data validator may perform, using an validation model and through a rules engine, validation of information in the component metadata to obtain a validation dataset. The validation may enable to predict at least one invalid feature in the component dataset. The system may include an insight generator implemented via the processor to generate, based on the validation datasets, automated insights pertaining to mitigation of the at least one invalid feature. In an embodiment, the automated insights may be stored in a distributed ledger to facilitate an authenticated storage of the automated insights. The authenticated storage may be facilitated by a network comprising a plurality of nodes.

Abstract: A surgical camera system comprising: a camera head including a housing; an image sensor within the housing; and the housing including a liquid lens therein for focusing an image received in the housing prior to transmission of the image to the image sensor, and a fixed solid lens adjacent the liquid lens.

Abstract: Disclosed are system, methods and non-transitory computer readable mediums for performance tracking, which can include an omnidirectional locomotion system (configured with one or more virtual reality games, omnidirectional treadmill and a sensor array), a leaderboard development interface; and a leaderboard creation GUI configured to create a leaderboard GUI. In some instances, the sensor array is attached to a user within the omnidirectional treadmill. In other instances, the sensor array is located on or within the omnidirectional treadmill.

Abstract: Briefly, embodiments of a system, method, and article for receiving a request, via a user interface, from a first backend system on a central exchange. The request may be for a determination of a schema for documentation produced by a second backend system on the central exchange. The second backend system may engage in one or more transactions with the first backend system. The first backend system may be integrated with the central exchange. The schema for the documentation generated by the second backend system over the central exchange may be automatically determined. Rules for transactions with the second backend system may be automatically determined. The schema and rules for the second backend system may be automatically combined. The integration package may be automatically generated and deployed within a conversion layer of the first backend system.

Abstract: Methods are provided for visualizing end-to-end path traversed by a hybrid media traffic flow. Specifically, the methods involve obtaining at least one hybrid flow record that includes information about a source of a traffic flow prior to performing a network address translation for the traffic flow. The traffic flow traverses from the source, along a path in a network, to a destination. The method further involves generating a merged flow data record in which at least two flow data records are merged based on the at least one hybrid flow record. The at least two flow data records include a unicast flow data record and a multicast flow data record based on the traffic flow traversing along the path in the network. The method further includes providing an end-to-end visibility of the path traversed by the traffic flow based on the merged flow data record.

Abstract: Methods are provided for path tracing and visibility for tenant routed multicast (TRM) flows including validating the TRM flows based on path tracing on various layers including overlay and underlay. Specifically, the methods involve obtaining at least one tenant flow data record for a tenant routed multicast traffic flow that traverses from a source, along a path in a network, to at least one destination. The at least one tenant flow data record includes underlay encapsulation information and tenant information. The methods further involve generating a merged flow data record in which the tenant information of a tenant incoming interface flow record is mapped to the underlay encapsulation information based on the at least one tenant flow data record and providing an end-to-end visibility of the path traversed by the tenant routed multicast traffic flow including a tenant path and an underlay path based on the merged flow data record.

Abstract: Methods and apparatus for capturing, communicating and using image data to support virtual reality experiences are described. Images, e.g., frames, are captured at a high resolution but lower frame rate than is used for playback. Interpolation is applied to captured frames to generate interpolated frames. Captured frames, along with interpolated frame information, are communicated to the playback device. The combination of captured and interpolated frames correspond to a second frame playback rate which is higher than the image capture rate. Cameras operate at a high image resolution but slower frame rate than images could be captured with the same cameras at a lower resolution. Interpolation is performed prior to delivery to the user device with segments to be interpolated being selected based on motion and/or lens FOV information. A relatively small amount of interpolated frame data is communicated compared to captured frame data for efficient bandwidth use.

Abstract: An adder with first and second majority gates. For a 1-bit adder, output from a 3-input majority gate is inverted and input two times to a 5-input majority gate. Other inputs to the 5-input majority gate are same as those of the 3-input majority gate. The output of the 5-input majority gate is a sum while the output of the 3-input majority gate is the carry. Multiple 1-bit adders are concatenated to form an N-bit adder. The input signals are driven to first terminals of non-ferroelectric capacitors while the second terminals are coupled to form a majority node. Majority function of the input signals occurs on this node. The majority node is then coupled to a first terminal of a non-linear polar capacitor. The second terminal of the capacitor provides the output of the logic gate. A reset mechanism initializes the non-linear polar capacitor before addition function is performed.