Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: A computer-implemented method includes obtaining a video of a subject, the video including a plurality of frames; generating, based on the plurality of frames, a plurality of optical flows; and encoding the plurality of optical flows using an autoencoder to obtain a movement-based biomarker value of the subject.

Abstract: Embodiments described herein are directed to employing an aggregation of participant sensor coverage areas to determine if there are missing coverage areas or unwanted overlapping coverage areas. If there are missing coverage areas, then at least one participant is instructed to modify its sensor coverage area to at least partially cover the missing coverage area. Conversely, if at least one participant has a sensor that is providing unwanted overlap of other sensor coverage areas, then that participant may be instructed to stop using that sensor, utilize that sensor for other data transmission purposes, or modify the coverage area to be non- or less-overlapping.

Abstract: Seamless connectivity utilizing multi-domain security by storing a global key on each participant computing devices. When a participant computing device tries to connect to a network, the network sends encryption keys for that network in response to that participant computing device providing the global key and not being blacklisted. The participant computing device can then connect to the network using that network's encryption key. A meta-message container is generated for the message based on a next participant in a route from the transmitting participant to the destination participant. One or more series of one or more line items are generated for the message, with each line item being tagged tag with network information. The line items are encrypted based on the network information. The meta-message container and the encrypted series of line items are then transmitted to the next participant.

Abstract: A method includes: obtaining, by a computer, subject response data including audio data, video data, or audio-video data of a subject's response to one or more stimuli presented to the subject over a defined time period; extracting at least one subject descriptor from the subject response data as a function of time, the at least one subject descriptor including data characterizing involuntary or voluntary action of the subject in response to the one or more stimuli; deriving, from the at least one subject descriptor, a first biomarker characterizing a behavior of the subject in response to the one or more stimuli, in which a value of the first biomarker is indicative of a severity of a disease in the subject; and outputting a disease severity level for the disease as a function of the value of the first biomarker.

Abstract: Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: A Functional Training System (FTS) is provided and includes a system container, wherein the system container includes a container front, a container rear, a container first side, a container second side, a container bottom, and a container top, wherein the container front, container rear, container first side, container second side, container bottom, and container top define a container cavity. The FTS further includes an exercise structure, wherein the exercise structure includes a platform connector, wherein the platform connector is non-perpendicularly and securely associated with at least one of the container front, container rear, container first side, container second side, container bottom, and container top, and wherein when the exercise structure is securely associated with at least one of the container front, container rear, container first side, container second side, container bottom, and container top, the exercise structure is supported by the system container.

Abstract: Embodiments for providing a wearable device are generally described herein. A wearable device may include a processor having memory and communicatively coupled to a plurality of display areas; and an orientation sensing module communicatively coupled to the processor to determine at least one of an orientation and a location of at least one of the plurality of display areas with respect to a point of view of a user; wherein the processor provides a function for at least one of the plurality of display areas based on the determined at least one of the orientation and the location of at least one of the plurality of display areas by the orientation sensing module.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: Embodiments described herein are directed to a tracking objects using a cognitive heterogeneous ad hoc mesh network. Participant objects transmit notification signals to inform other participant objects in line-of-sight of their position and movement. The participants also utilize echoes of the notification signals to detect and estimate the position and movement of non-participant objects. Participant objects can then share this positional information with one another to refine the estimated position and movement of non-participant objects. The position of each other participant and non-participant object is updated based on an individualized update rate that dynamically changes based on the distance and velocity of closure between the participant and the other participant or non-participant object.

Abstract: Systems and methods are disclosed herein for providing improved cache structures and methods that are optimally sized to support a predetermined range of late stage adjustments and in which image data is intelligently read out of DRAM and cached in such a way as to eliminate re-fetching of input image data from DRAM and minimize DRAM bandwidth and power. The systems and methods can also be adapted to work with compressed image data and multiple LSR processing engines.

Abstract: A linear motor conveyor system and method for lubrication including: a linear motor track comprising a first guide rail and a second guide rail, wherein the first guide rail has a shaped profile and the second guide rail has a flat profile; at least one moving element provided to the linear motor track comprising a first bearing having a shaped profile with a first bearing surface of polymer configured to engage the first guide rail and a second bearing having a flat profile with a second bearing surface configured to engage the second guide rail; and a lubrication system provided to one of the track and the at least one moving element and configured to provide a lubricant between the first guide rail and the first bearing surface.

Abstract: Methods and systems are provided for an engine component assembly having one or more fastener retention apparatuses. In one example, a system may include each of the one or more fastener retention apparatuses including a rigid limiter and an integrated fastener retention feature adhered to an inner surface of an interior passage of the rigid limiter. Further, one or more fasteners may be held captive by each of the one or more fastener retention apparatuses capturing one fastener of the one or more fasteners.

Abstract: Certain aspects of the present disclosure introduce transmit chain asymmetry to meet tighter specifications of a band on one side of a spectrum while sacrificing emissions margin of a band on the opposite side of the spectrum. One example apparatus generally includes a distortion module configured to generate an input signal, and an amplifier coupled to the distortion module and configured to generate an amplified signal based on the input signal. In certain aspects, the input signal is generated such that a power of the amplified signal at a first bandwidth is skewed relative to a power of the amplified signal at a second bandwidth, the first and second bandwidths being adjacent to a main channel bandwidth of the amplified signal.

Abstract: Disclosed are various embodiments for image assisted delivery. A computing device may identify a delivery location based at least in part on an image file received from a first client device. The computing device may then generate a series of directions from a current location of a second client device to the delivery location. The computing device may subsequently send the series of directions to the second client device. Finally, the computing device may send the image file received from the first client device to the second client device.

Abstract: Techniques for providing a contextual voice user interface that enables a user to query a speech processing system with respect to the decisions made to answer the user's command are described. The speech processing system may store speech processing pipeline data used to process a command. At some point after the system outputs content deemed responsive to the command, a user may speak an utterance corresponding to an inquiry with respect to the processing performed to respond to the command. For example, the user may state “why did you tell me that?” In response thereto, the speech processing system may determine the stored speech processing pipeline data used to respond to the command, and may generate output audio data that describes the data and computing decisions involved in determining the content deemed responsive to the command.