Abstract: A user-to-entity communication channel is established for providing increased information regarding entities to the general population. Ambassadors for a entity are identified and selected based on location history of devices for which location reporting is authorized. The ambassadors may provide information regarding the entity to the public through the communication channel. Communications between the users and ambassadors may be reported to the entity owner for analysis by the entity owner.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for tracking proximities of devices and/or objects. In one embodiment, the system operates by determining whether a plurality of devices of a tethered segment are inside or outside a predefined area. The system also operates by determining that a first device of the plurality of devices is outside of the predefined area based at least partially on the determination of whether the plurality of devices are inside or outside the predefined area. The system further operates by transmitting at least one alert notification to at least one device based at least partially on the determination that the first device is outside the predefined area, wherein the alert notification identifies the first device outside the predefined area.

Abstract: In order to implement the foregoing object, an exemplary embodiment of the present disclosure discloses a video retrieval method performed by a computing device. The video retrieval method may include: segmenting one or more video data into two or more unit video data; encoding, by one or more encoders comprised in a machine learning enabled key frame detection module, two or more unit video data; generating one or more key frame detection vectors for each of the two or more unit video data based on the result of the encoding; and generating feature vector of one or more retrieval video data based on a combination of one or more vectors among the key frame detection vectors.

Abstract: Provided are a transmission method and device, and a computer readable storage medium. The transmission method includes: receiving, by a terminal, indication information of a maximum transmission block size (TBS) supported by a data transmission, and determining the maximum TBS supported by the data transmission according to the indication information; and determining, by the terminal, a TBS supported by the data transmission according to the maximum TBS supported by the data transmission.

Abstract: A customer analysis apparatus (10) includes an image acquisition unit (110) and an image processing unit (120). The image acquisition unit (110) acquires a first image generated by a first image capture unit (22) and a second image generated by a second image capture unit (24). The image processing unit (120) processes the first image and the second image. More specifically, the image processing unit (120) generates product information indicating a product (50) taken out from a product shelf (40), by processing the first image and the second image. Further, the image processing unit (120) generates customer attribute information of a customer taking out the product (50), by processing the first image. Then, the image processing unit (120) causes a result storage unit (130) to store the product information and the customer attribute information in association with each other.

Abstract: A computer-implemented method for tracking with visual object constraints includes receiving a lingual constraint and a video. A word embedding is generated based on the lingual constraint. A set of features is extracted for one or more frames of the video. The word embedding is cross-correlated to the set of features for the one or more frames of the video. A prediction indicating whether the lingual constraint is in the one or more frames of the video is generated based on the cross-correlation.

Abstract: A method for authenticating a base station involves a user device sending an authentication request to the base station upon connection to the base station. The authentication request is based on a core network signalling protocol. The user device waits a predetermined amount of time for a response to the authentication request signal and disconnects from the base station if a response is not received or if the response is determined to be inauthentic. The Access Control Class (ACC) of the user device is changed to a different ACC after disconnecting from the base station.

Abstract: A method at a computing device for finding an association between data objects in a structure, the method including selecting a coordinate location from a grid, the grid defining locations within the structure; finding whether a data object having a data object type is located at the coordinate location; when the data object is located at the coordinate location, associating the data object with other data objects at the coordinate location; and when the data object is not located at the coordinate location: determining through an explicit association that the data object at a second location services the first location; and associating the data object with the coordinate location.

Abstract: This disclosure relates to the 5th generation (5G) or pre-5G communication system for supporting a higher data rate after the 4th generation (4G) communication system such as Long Term Evolution (LTE). The method for operating the core network in a wireless communication system according to this disclosure comprises the processes of determining the content to store in the terminal based on the location information of the terminal, transmitting the content transmission command to the base station so as to transmit the content to the terminal in response to the determination, checking whether the terminal has entered the overload cell, and forming a D2D communication link between the terminal and another adjacent terminal when it is identified that the terminal has entered the overload cell.

Abstract: Methods and systems for detecting malfunctioning on-board telematics units in vehicles. A computing device may receive a first and second geofence location for a vehicle from a fleet management system. The computing device may determine whether it received a third location from an on-board telematics unit of the vehicle within a time period between receiving the first geofence location and receiving the second geofence location. The computing device may determine that the on-board telematics unit associated with the vehicle is in a state of anomaly in response to determining that the third location was not received from the on-board telematics unit of the vehicle within a time period between receiving the first geofence location and receiving the second geofence location.

Abstract: Disclosed herein is a method of operation of a wireless device to provide service gap control in a wireless communication system, comprising: receiving a service gap parameter from a network entity in a mobility management sublayer non-access stratum message, the service gap parameter being indicative of a value for a service gap timer for the wireless device; and enforcing the service gap parameter at the wireless device in a non-access stratum layer. Also disclosed herein is a method of operation of a core network entity in a core network of a wireless communication system to provide service gap control, comprising: obtaining a service gap parameter for a wireless device, the service gap parameter being indicative of a value for a service gap timer for the wireless device; and sending by the core network entity the service gap parameter to the wireless device via a mobility management sublayer non-access stratum message.

Abstract: A novel system and method for determining a viewing frustum for a wide angle camera system employs multiple detection sub-systems to detect the presence or occurrence of events and/or objects of interest within the entire captured field of view of the system and processes the results of those detection sub-systems in accordance with a Hierarchy of Interest to select a viewing frustum for providing a de-warped view of interest to a viewer. The Hierarchy of Interest can be predefined, or selected from a set of Hierarchies of Interest and/or can be adaptive is response to feedback from a viewer.

Abstract: A method for detecting medical images implemented in an electronic device includes obtaining at least one image to be detected; obtaining a reconstructed image by inputting the at least one image to be detected as a target image into a pre-trained variational autoencoder model; determining a target area according to pixel values of pixels in the reconstructed image and the target image; obtaining a feature area and a lesion category of the feature area by inputting the target image into a pre-trained convolutional neural network model; when there is a feature area corresponding to the target area in the target image, determining a lesion area and a corresponding lesion category based on the target area and the feature area, and generating a detection result of the image to be detected.

Abstract: A wireless network may include network equipment such as base stations that operate within cells and that communicate with user equipment (UE) devices. The network equipment may harvest anonymized data from the UE devices and may generate connection counts based on the anonymized data. The network equipment may estimate the total population of each cell based on the connection counts, may generate a maximum number of individuals allowed in the cells under a social distancing guideline, and may compare the estimated total population of the cells to the maximum number of individuals. Cells having an estimated total population that exceeds the maximum number of individuals may be labeled as cells having poor social distancing. Information may be provided to a UE device identifying these cells to allow a user to make informed decisions on where to travel without exposing private information to the network.

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: 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: 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: 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: 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: 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.