Abstract: Embodiments of the present application disclose a wireless communication method, a terminal device, and a network device. The method includes: determining, by a terminal device, according to information of a spatial location of the terminal device, an identity of a communication sub-zone of the terminal device, where the spatial location of the terminal device includes altitude of the terminal device in a communication zone, and the communication zone includes at least one communication sub-zone in terms of the spatial location; and performing, by the terminal device, sidelink communication on a target resource pool corresponding to the identity of the communication sub-zone of the terminal device. The method, the terminal device, and the network device in the embodiments of the present application help to reduce the probability of conflict for a terminal device when performing sidelink communication.

Abstract: Satellite echoing for geolocation and mitigation of Global Navigation Satellite System (GNSS) denial are provided herein, where an example method comprises: transmitting, by a processing device, an echo message along a communication path having a communication satellite and a target device with an unknown distance to the communication satellite; receiving, by the processing device, a return of the echo message from the communication satellite over the communication path; determining, by the processing device, a time of travel of the echo message associated with only a single traversal of a portion of the communication path that is between the communication satellite and the target device; calculating, by the processing device, a distance between the communication satellite and the target device based on the time of travel; and performing, by the processing device, one or more actions based on the distance between the communication satellite and the target device.

Abstract: Methods, systems, and devices for wireless communications are described. A first user equipment (UE) may determine its position by receiving locations from one or more other UEs capable of network-based positioning. For example, a second UE may determine its location using network-based positioning and may transmit its location information to the first UE. The first UE may determine its location based on the received location information (e.g., by calculating a weighted average of different locations, by setting its location to be the same as the received location). In some cases, the first UE may receive location information from other UEs during or after a discovery process with other UEs. In some other cases, the first UE may receive messages (e.g., periodic safety messages) from the other UEs, and the messages may each include location information of the respective other UEs.

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: The invention relates to a method for monitoring a passenger of a vehicle in which the geographic position of the vehicle is recorded, and a viewing direction of the passenger is recorded by means of a eye-tracking device. A data memory is accessed in which objects and geographic positions assigned to them are saved and, by using the recorded geographic position of the vehicle, it is detected whether one of the objects is located in the environment of the vehicle, and whether the object in the environment of the vehicle was perceived by the passenger depending on the recorded viewing direction of the passenger, the recorded geographic position of the vehicle, and the geographic position of the detected object in the environment of the vehicle.

Abstract: An airflow detection apparatus (1) includes an airflow detection apparatus (1) that detects an airflow in a painting booth, and includes a thread-like member (2) installed inside the painting booth, an image capture device (4) capable of generating image data obtained by capturing an image of the thread-like member (2), and a calculation device capable of performing calculation processing on the image data. The thread-like member (2) is installed in the painting booth in a mode in which at least a portion thereof is suspended. The calculation device specifies a portion corresponding to the thread-like member (2) in the image data, and detects an airflow based on a position of the portion.

Abstract: A system is disclosed. The system has a housing, one or more compartments, each of the one or more compartments including a compartment door disposed at a first side of the housing, an operator door that selectively opens to allow access to a cavity that accesses the one or more compartments, and closes to block access to the one or more compartments, an electronic lock configured to selectively lock and unlock the operator door, the electronic lock including an operator interface, an ultraviolet lighting device disposed in at least one of the one or more compartments, computing memory having associated therewith code, and a processor communicatively coupled with the computing memory, configured to execute the code and to control the ultraviolet lighting device to selectively emit ultraviolet lighting in an interior of the at least one of the one or more compartments.

Abstract: A system for template invariant information extraction. The system comprises of processor, a first neural network model and a second neural network model. The processor is configured to recognize and extract entities and location of the entities in the input document using the first neural network model. The processor is further configured to classify whether the input document belongs to at least a template of the documents of the first training dataset using the second neural network model. The second neural network model comprises a linear classifier configured to generate a plurality of confidence scores for the input document corresponding to a unique template of the documents of the first training dataset. A threshold value to classify the input document belonging to template of the documents of the first training dataset is determined, Classification is done by comparing the confidence score with the threshold value.

Abstract: The present disclosure relates to mobile communications technologies, and in particular, to a mobile communication method, apparatus, and device. The method includes: receiving, by user equipment UE, a non-access stratum NAS security mode command message from a mobility management entity MME, where the NAS security mode command message carries first verification matching information used to verify UE capability information received by the MIME; determining, by the UE based on the first verification matching information, whether the UE capability information received by the MME is consistent with UE capability information sent by the UE to the MIME; and if the UE capability information received by the MME is consistent with the UE capability information sent by the UE to the MME, sending, by the UE, a NAS security mode complete message to the MME.

Abstract: Sensor data are received from a multiplicity of sensors, wherein the multiplicity of sensors image a common scene using a multiplicity of measurement modalities. For each sensor of the multiplicity of sensors, at least one corresponding feature is determined in the respective sensor data and corresponding performance specification data are also obtained. In addition, mutual correspondence analysis between the features of the sensor data is carried out taking into account the corresponding performance specification data. Sensor fusion is also carried out on the basis of the correspondence analysis.

Abstract: A method includes identifying a first image. The method also includes determining a distribution based at least partially upon an intensity of each pixel in the first image. The method also includes determining that the distribution is bimodal. The method also includes dividing the first image to produce a second image in response to determining that the distribution is bimodal. The second image includes a plurality of first pixels and a plurality of second pixels. The method also includes determining that a horizon is defined between the plurality of first pixels and the plurality of second pixels.

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: Systems and methods dynamically adjust an available range for editing an attribute in an image. An image editing system computes a metric for an attribute in an input image as a function of a latent space representation of the input image and a filtering vector for editing the input image. The image editing system compares the metric to a threshold. If the metric exceeds the threshold, then the image editing system selects a first range for editing the attribute in the input image. If the metric does not exceed the threshold, a second range is selected. The image editing system causes display of a user interface for editing the input image comprising an interface element for editing the attribute within the selected range.

Abstract: An image processing apparatus includes a change detection unit configured to detect phase changes in multiple predetermined directions from among phase changes in a luminance image in units of mutually different resolutions, and a reliability estimation unit configured to estimate reliability of the detected phase change based on temporal amplitude change information in the multiple directions determined in the luminance image. The reliability estimation unit may estimate the reliability using an amplitude change of multiple resolutions and using a value of an amplitude change equal to or greater than a predetermined threshold value among images having multiple resolutions. The reliability may become a greater value as the amplitude change becomes larger.

Abstract: An information processing method includes the following executed by a computer: acquiring a first image and object data of an object appearing in the first image, extracting a portion of the first image that corresponds to a difference between the object data and an object detection result obtained by inputting the first image to a trained model, the trained model receiving an image as input to output an object detection result, acquiring a second image that includes a portion corresponding to the same object data as object data corresponding to the extracted portion of the first image, reflecting an image based on the extracted portion of the first image in the portion of the acquired second image that corresponds to the same object data, and generating training data for the trained model.

Abstract: Disclosed is a light field technology-based unmanned aerial vehicle monitoring system. Said unmanned aerial vehicle monitoring system comprises: a first camera, configured to continuously obtain image information in a monitored area; a second camera, the second camera being a light field camera including a compound eye lens, and being configured to obtain, when it is determined that the obtained image information is of an unmanned aerial vehicle, light field information of the unmanned aerial vehicle; a vertical rotating platform and a horizontal rotating platform arranged perpendicular to each other, wherein the first camera and the second camera can rotate synchronously under the control of the vertical rotating platform and the horizontal rotating platform; and a computer processor, configured to calculate depth information of the unmanned aerial vehicle by means of the obtained light field information so as to obtain the position of the unmanned aerial vehicle.

Abstract: An indoor positioning method based on image visual features is disclosed. A Wi-Fi signal strength value of a Wi-Fi tag is matched with a signal strength list to obtain a first location of a first Wi-Fi tag with the greatest matching degree. A SURF descriptor of an image of the Wi-Fi tag is matched with SURF descriptors recorded in the signal strength list to discover an image of a Wi-Fi tag with the greatest matching degree, thereby obtaining a second location of a second Wi-Fi tag corresponding to the image of the Wi-Fi tag with the greatest matching degree. A three location of a three Wi-Fi tag is obtained according to a homography matrix corresponding to the image of the Wi-Fi tag with the largest matching degree. Positioning information of the mobile device is obtained according to the first location, the second location and the third location.

Abstract: The disclosure provides data transmission methods and apparatuses. One example method includes when the terminal device needs to perform the cross-network movement, the terminal device sends a message to a network element of a network accessed by the terminal device, to notify that the terminal device is to perform the cross-network movement from a source network to a target network. Therefore, during the movement of the terminal device, a network side pauses transmission of user plane data of the terminal device, and buffers data that is not sent before the terminal device performs the cross-network movement. After accessing the target network, the network side sends the buffered data to the terminal device.

Abstract: The purpose of the present invention is to provide a hazard prediction method that can perform hazard prediction activities so as to prevent accidents, regardless of skills and personalities of workers.

Abstract: Provided is a device that includes: a monitoring camera that is arranged at an entrance where an electric lock, which can read a unique ID of each key to be used, is installed, a detection unit configured to detect an operation of the electric lock, and a control unit configured to associate the unique ID of a used key with image data captured by the monitoring camera when an operation of the electric lock has been detected.