Abstract: Embodiments of methods and apparatus for providing distributed airborne wireless communications are provided herein. In some embodiments, an airborne wireless service area includes: an airborne fleet, comprised of a plurality of aircraft, wherein the airborne fleet is configured to transmit a plurality of first beams at a first radio frequency (RF), wherein the plurality of first beams are characterized by corresponding first frequency band, channel, bandwidth, transmission format, uneven angular field intensity distribution, and boundaries, wherein neighboring first beams have an overlap region, and wherein at least one of the following characteristics is different between the neighboring first beams: frequency band, channel, or transmission format; and a plurality of first communication cells defined by respective boundaries of the plurality of first beams, wherein each of the first communication cells are characterized by their size, shape, and position.

Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.

Abstract: Digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. The plurality of digital images each capture the object for inclusion as part of generating digital content, e.g., a webpage, a thumbnail to represent a digital video, and so on. In one example, digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. As a result, the service provider system may select a digital image of an object from a plurality of digital images of the object that has an increased likelihood of achieving a desired outcome and may address the multitude of different ways in which an object may be presented to a user.

Abstract: Implementations described and claimed herein provide systems and methods for identification of connection areas in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing connection type and a collection of network sites including the connection type is generated from the customer set. An overlay of customer sites without the connection type may be applied to the collection of network sites to generate an intersection of non-connected customer sites within the collection of network sites including the connection type. The intersection provides an indication of underserviced sites connection to the telecommunication network for potential network growth.

Abstract: System and methods are disclosed for capturing license plate (LP) information of a vehicle in relative motion to a camera device. In one example, the camera system detects the LP in multiple frames, then aligns and geometrically rectifies the image of the LP by scaling, warping, rotating, and/or performing other functions on the images. The camera system may optimize capturing of the LP information by executing a temporal noise filter on the aligned, geometrically rectified images to generate a composite image of the LP for optical character recognition. In some examples, the camera device may include an image sensor, such as a high dynamic range (HDR) sensor, modified to set long and short exposures of the HDR sensor to capture frames of a vehicle's LP, but without consolidating the images into a composite image. The camera system may set optimal exposure settings based on detected relative speed of the vehicle.

Abstract: Client identifier watermarks in media signals are disclosed. An example apparatus to watermark a multilayered file includes a watermark storage to store media identifiers. The example apparatus also includes an encoder to encode a first bit sequence in the media file on a first encoding layer of a multilayered watermark, the first bit sequence to include a client identifier of a client associated with the media file, and encode a second bit sequence in the media file on a second encoding layer of the multilayered watermark, the second bit sequence to include a media identifier to identify media corresponding to the media file.

Abstract: In one embodiment, a method includes receiving a first image depicting a context including one or more persons having one or more respective poses, receiving a second image depicting a target person having an original pose, where the target person is to be inserted into the context depicted in the first image, generating a target segmentation mask specifying a new pose for the target person in the context of the first image based on the first image, generating a third image depicting the target person having the new pose based on the second image and the target segmentation mask, and generating an output image based on the first image and the third image, the output image depicting the one or more persons having the one or more respective poses and the target person having the new pose.

Abstract: A communication device. The communication device comprises a transceiver comprising an antenna; and a system-on-chip. The system-on-chip comprises a central processing unit (CPU) and a non-transitory memory comprising a micro-kernel of a fifth generation (5G) core network that when executed by the CPU, causes the micro-kernel to begin executing instructions of the micro-kernel in a trusted security zone (TSZ) execution mode, create virtualized network functions (VNFs) of a core network in the TSZ execution mode, wherein the virtualized network functions are associated with a 5G core network, instantiate a 5G communication network using the antenna and the 5G core network in response to creating the VNFs of the core network, receive requests from subscribers of the 5G communication network, and connect the subscribers to the 5G communication network in response to receiving the requests from subscribers of the 5G communication network.

Abstract: A method for determining the measurement value of a measurement quantity of a substance using a color indicator, the color indicator having at least one indicator field having previously been brought into contact with the substance, is characterized in that the color indicator and a color reference are visually sensed, the color reference having at least two reference fields of different colors, that an intermediate value of the measurement quantity is obtained with computer assistance based on the captured color values of the reference fields and the indicator field, and that the measurement value of the substance is obtained from this intermediate value.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.

Abstract: A second RAN node (2) sends to a radio terminal (3), via a first RAN node (1), an indication of available on-demand system information that is available in a cell of the second RAN node (2). It is thus, for example, possible to enabling notifying a UE of an indication about on-demand system information available in a cell served by a secondary gNB of Inter-RAT dual connectivity between E-UTRA and NR, or available in a cell served by a target gNB of Inter-RAT handover from E-UTRA to NR.

Abstract: This application provides a method including: receiving first configuration information of an SRS resource from a network device, where the first configuration information includes a repetition factor of the SRS resource, and the repetition factor of the SRS resource is a quantity N of positions at which the SRS resource is mapped to a same subcarrier and mapped to at least one continuous symbol in one time unit, where N?1 and is an integer; determining at least one first frequency domain resource to which the SRS resource is mapped in a first time unit.

Abstract: There is provided a visual localization method comprising: (a) transmitting data representative of one or more detected visual features from a mobile device to a server; (b) estimating the location of the mobile device at the server based on the visual features received from the mobile device; (c) transmitting reference data associated with the estimated location from the server to the mobile device; and (d) the mobile device determining its location based on the reference data received from the server.

Abstract: To generate a prediction image in which an outline of an object is clear and existence of the object is easily recognized, the image prediction system that generates a future prediction image and includes a gaze unit, a working memory unit, a control unit, and a generation model unit. The gaze unit controls a region including an object included in an observation image as a first gaze region. The working memory unit controls the first gaze region as a second gaze region when a difference in the first gaze region between the observation image and a prediction image is equal to or less than a predetermined value. The generation model unit generates prediction images of the first gaze region and the second gaze region. The control unit integrates the prediction image of the first gaze region and the prediction image of the second gaze region to generate a prediction image.

Abstract: Systems for communicating over a network and between two or more network connected devices. In particular, the disclosure reveals systems which may utilize multicast communication protocols to facilitate secure communication among one or more network connected devices. A system for secured messaging may include a network system including a first server, a second server and a first node. Further, the first server is configured to authenticate the first node for secure multicast messaging, and the second server is configured to authenticate the first node for secure multicast messaging.

Abstract: Apparatus, devices, systems, methods, and articles of manufacture are disclosed for watermarking with phase shifting. Example watermark decoding apparatus disclosed herein are to identify watermark components in a media signal, determine a phase shift pattern associated with the watermark components in the media signal, the phase shift pattern based on one or more phase references, and detect a symbol of a watermark based on the phase shift pattern, the watermark associated with the watermark components in the media signal.

Abstract: An information sharing platform of providing bidirectional vehicle state information between a driver and a vehicle, the information sharing platform may include a communication controller which collects measured data and vehicle Controller Area Network (CAN) information by sensors installed to components capable of diagnosing a vehicle state; and a graphic controller which provides a driver with diagnosis result output information that is generated based on a predetermined selection criterion among the components through Deep Learning based diagnosis using big data having the collected data.

Abstract: To provide a learning apparatus and an inferring apparatus that can prevent problems such that a computation amount increases, efficiency of a learning process decreases, and an inferring result does not have high accuracy. A learning apparatus and an inferring apparatus include a predictable area determining unit that determines whether target data has a predictable area in which an inferring result of an inferring process can be easily predicted. In the learning apparatus and the inferring apparatus, predetermined data processing is performed on a data area that is determined to be a predictable area, data required to infer an area that is not a predictable area is output to a machine learning model, and data processing is performed in an average time shorter than that of the inferring process.

Abstract: Systems and methods for determining predictive model types are provided. A method may include generating a predictive model for a web page of a web site, wherein the web page includes a configuration defining one or more objects presented with the web page, and wherein each object is associated with a predictive model. The method may include determining one or more predictive model types that are associated with the predictive model, determining one or more performance indicators that correspond to each determined predictive model type, wherein performance indicators represent one or more benefits to a website, selecting a predictive model type of the predictive model out of the one or more predictive model types, wherein the predictive model type is selected based on a performance indicator corresponding to the selected predictive model type, and determining a configuration of the web page using the selected predictive model type of the predictive model.

Abstract: Disclosed are systems, methods and computer-readable media for controlling and managing the identification and provisioning of resources within an on-demand center as well as the transfer of workload to the provisioned resources. One aspect involves creating a virtual private cluster within the on-demand center for the particular workload from a local environment. A method of managing resources between a local compute environment and an on-demand environment includes detecting an event associated with a local compute environment and based on the detected event, identifying information about the local environment, establishing communication with an on-demand compute environment and transmitting the information about the local environment to the on-demand compute environment, provisioning resources within the on-demand compute environment to substantially duplicate the local environment and transferring workload from the local-environment to the on-demand compute environment.