Abstract: Satellite relaying for geolocation and mitigation of GNSS denial are provided, where a method comprises: receiving, by a processing device from a communication satellite along a communication path, a message initiated at a transmission time by a transmitting device, the communication path having a target device with an unknown distance to the communication satellite; determining, by the device, a reception time upon receiving the message; determining, by the device, a time of travel of the message associated with only traversal of a portion of the communication that is path between the communication satellite and the target device based on a difference between the transmission time and the reception time; calculating, by the device, a distance between the communication satellite and the target device based on the time of travel; and performing, by the device, one or more actions based on the distance between the communication satellite and the target device.

Abstract: An aviation connectivity gateway module for remote access to an aircraft's systems and remotely offloading its aircraft data. The module broadly comprises a CPU, a first set of communication elements, a second set of communication elements, a memory, a battery, an IMU, a GPS module, and a number of antennas. The module responds to remote prompts and offloads aircraft data when the aircraft is powered off. An aviation connectivity gateway module for complete BVLOS cellular network connectivity broadly comprises a CPU, a set of electronic connectors, a memory, an IMU, a GPS module, a first cellular connectivity element, a second cellular connectivity element, and a number of antennas. The module switches between the first cellular communication element and the second communication element based a status of the aircraft.

Abstract: A method is provided for supporting an aircraft approaching a runway on an airfield. The method includes receiving a sequence of images of the airfield, captured by a camera onboard the aircraft approaching the runway. For at least one image of the sequence of images, the method includes applying the image(s) to a machine learning model trained to predict a pose of the aircraft relative to the runway. The machine learning model is configured to map the image(s) to the pose based on a training set of labeled images with respective ground truth poses of the aircraft relative to the runway. The pose is output as a current pose estimate of the aircraft relative to the runway for use in at least one of monitoring the current pose estimate, generating an alert based on the current pose estimate, or guidance or control of the aircraft on a final approach.

Abstract: Disclosed herein are apparatuses and methods for providing evacuation guidance. An implementation may determine a last known location of a person in an environment under evacuation. An implementation may calculate, for the person, an exit time for evacuating the environment based on an amount of time needed by the person to exit the environment starting from the last known location. An implementation may monitor whether the person has evacuated the environment. An implementation may determine whether a current time has passed the exit time. An implementation may transmit an alert to a device of the person in response to determining that the current time has passed the exit time and that the person has not evacuated the environment.

Abstract: Methods and devices useful in performing precise indoor localization and tracking are provided. By way of example, a method includes locating and tracking, via a first wireless electronic device, a plurality of other wireless electronic devices within an indoor environment. Location ambiguity mitigation is performed using characteristics of signals received by a reference node used to generate a radio frequency map of electronic devices.

Abstract: Real-time light-detection and ranging point decimation is provided. A system of a vehicle can allocate, based on a resolution for data points, a region in the memory for a tree data structure. The region can have a fixed-size for a duration of a flight performed by the vehicle. The system can receive, subsequent to allocating the region in the memory, first points captured by a sensor of the vehicle at a first resolution, and convert the points to second points having a second resolution that is less than the first resolution. The system can then provide, for storage in the region in the memory, the tree data structure that stores the second points. The tree data structure can be used in a terrain map generation function.

Abstract: A method, a neural network, and a computer program product are provided that optimize training of neural networks using homomorphic encrypted elements and dropout algorithms for regularization. The method includes receiving, via an input to the neural network, a training dataset containing samples that are encrypted using homomorphic encryption. The method also includes determining a packing formation and selecting a dropout technique during training of the neural network based on the packing technique. The method further includes starting with a first packing formation from the training dataset, inputting the first packing formation in an iterative or recursive manner into the neural network using the selected dropout technique, with a next packing formation from the training dataset acting as an initial input that is applied to the neural network for a next iteration, until a stopping metric is produced by the neural network.

Abstract: State of the art deep network based Universal Lesion Detection (ULD) techniques inherently depend on large number of datasets for training the systems. Moreover, these system are specifically trained for lesion detection in organs of a Region of interest (RoI) of a body. Thus, requires retraining when the RoI varies. Embodiments herein disclose a method and system for domain knowledge augmented multi-head attention based robust universal lesion detection. The method utilizes minimal number of Computer Tomography (CT) scan slices to extract maximum information using organ agnostic HU windows and a convolution augmented attention module for a computationally efficient ULD with enhanced prediction performance.

Abstract: Systems and methods for detecting and monitoring areas of water damage or water management problems in a property are described. Monitoring devices can be deployed at different locations of a property to obtain sensor data and image data regarding the environmental conditions in potentially problematic areas of the property. An image obtained by the monitoring devices can be processed and compared with reference images or other image data that is filtered in a different manner that the image to identify portions of the image in which water damage or water management problems exist.

Abstract: A system for projecting dots onto a three-dimensional image is configured to activate multiple pseudo-random dot projectors sequentially. Each pseudo-random dot projector includes an illumination source and a wavefront modulating element (WME) located along an optical axis in a path traversed by radiation produced by the illumination source. The system is configured to form images of dots in the projection plane along the optical axis. The system may also include controlling circuitry configured to perform a sequential projection operation on the plurality of pseudo-random dot projection systems to produce a temporal sequence of images and aggregate and process the temporal sequence of images to produce a high-resolution depth image of the three-dimensional surface.

Abstract: A method and system for optimizing optical flow for images based on a residual field and a displacement field are provided. The method includes: obtaining reference images; estimating an initial optical flow field from the reference images by using an optical flow estimation method; obtaining an optical flow optimization model, where the optical flow optimization model includes an image encoder, an optical flow encoder, a first decoder, and a sub-decoder; inputting any image of the reference images and the initial optical flow field into the optical flow optimization model to output the residual field and the displacement field; superimposing the initial optical flow field and the residual field to obtain a preliminarily optimized optical flow field; and resampling the preliminarily optimized optical flow field by using the displacement field to obtain an optimized optical flow field.

Abstract: Disclosed is a vehicle-mounted ranging system and method. The vehicle-mounted ranging system has a communication transceiver configured to wirelessly communicate with at least one external communication transceiver and a plurality of ultra-wideband (UWB) transceivers configured to transmit and receive ranging pulses to and from at least one external UWB transceiver associated with the at least one external communication transceiver. A controller is interfaced between the communication transceiver and the plurality of UWB transceivers.

Abstract: Described herein are systems and methods for generating a watch list of users who pose specific security threats to a store. The method can include retrieving, by a computer system from a data store, case files that document activity that poses a security threat by a user at the store, predicting, based on applying prediction models to the case files, future activity associated with the case files, determining threat scores for the case files based on the predicted future activity, ranking the case files into a candidate list from highest to lowest threat score, generating a watch list for the store that includes a subset of the ranked case files based on which case files pose a greatest current threat to the store, generating summary videos for each case file in the watch list, and transmitting the watch list and summary videos to a user device.

Abstract: Systems and methods for detecting predetermined events occurring during delivery of an ordered product to a delivery address is provided. Upon receipt of a customer order, delivery of the ordered product is assigned to a delivery driver/vehicle which includes a stand-alone communication device disposed in the delivery vehicle. As the delivery trip begins, various position and acceleration information is collected by the communication device, processed to determine whether a predetermined driving event has occurred, and stored. This information is transmitted periodically to a processing system for eventual communication to a home location store associated with the delivery order. Additional processing of the delivery trip data may occur to enable a review of the delivery trip and any detected events along the delivery path.

Abstract: A multifunction wireless device having at least one of multimedia functionality and smartphone functionality, the multifunction wireless device including an upper body and a lower body, the upper body and the lower body being adapted to move relative to each other in at least one of a clamshell, a slide, and a twist manner. The multifunction wireless device further includes an antenna system disposed within at least one of the upper body and the lower body and having a shape with a level of complexity of an antenna contour defined by complexity factors F21 having a value of at least 1.05 and not greater than 1.80 and F32 having a value of at least 1.10 and not greater than 1.90.

Abstract: A computing system obtains a document that includes text. The computing system identifies a fact referenced in the text of the document, where the fact includes a fact name and a fact value. The computing system determines a topic of the document based upon the text of the document. The computing system identifies a factoid stored in a data store based upon the topic and the fact name, where the factoid includes the fact name and a second fact value, and further where the factoid has been generated based upon second text of a second document. While the document is being displayed to a user, the computing system causes a message to be displayed to the user, where the message prompts the user to accept or reject replacement of the fact value in the document with the second fact value.

Abstract: A network management system (NMS) is configured to control roaming in a wireless network using a variable mobility threshold. For a first wireless device associated with a current location, the NMS obtains at least one performance metric of a first wireless signal received by the first wireless device at the current location from a first AP of a plurality of APs, compares the at least one parameter of the first wireless signal to at least one performance metric of a second wireless signal received by at least one other wireless device at the current location from a second AP of the plurality of APs, and triggers a roaming operation of the first wireless device from the first AP to the second AP if the comparison satisfies a mobility threshold that varies based on the at least one performance metric of the first wireless signal.

Abstract: This invention provides a system and method for determining the location and characteristics of certain surface features that comprises elevated or depressed regions with respect to a smooth surrounding surface on an object. A filter acts on a range image of the scene. A filter defines an annulus or other perimeter shape around each pixel in which a best-fit surface is established. A normal to the pixel allows derivation of local displacement height. The displacement height is used to establish a height deviation image of the object, with which bumps, dents or other height-displacement features can be determined. The bump filter can be used to locate regions on a surface with minimal irregularities by mapping such irregularities to a grid and then thresholding the grid to generate a cost function. Regions with a minimal cost are acceptable candidates for application of labels and other items in which a smooth surface is desirable.

Abstract: According to one embodiment, a grain size estimation device includes an acquisition unit that acquires a captured image of a surface segment of an object inducing metal; and an estimation unit that estimates a grain size of the surface segment of the object indicated in the acquired image, based on a predictive model generated by machine learning using images of metal surfaces and grain sizes in the metal surfaces as training data.

Abstract: The present invention includes a system for providing a mobile-based crowdsourcing platform configured to provide an intuitive and semi-automated means of collecting and managing user-driven data by leveraging text messages. The crowdsourcing platform is configured to leverage a Short Message Service (SMS) communication system for generating and transmitting command text messages to mobile devices of users of the service. The command text messages essentially elicit or otherwise train/educate the user's mobile device to automatically transmit requested data back to the crowdsourcing platform, the requested data including the location or position of the user within a given environment.