An electronic device includes a memory, at least one camera module, and a processor operatively connected to the memory and the at least one camera module. The processor is configured to, while acquiring first recording data by using the at least one camera module, detect at least one designated gesture input on the basis of at least a part of the acquired first recording data. The processor executes a function corresponding to the detected gesture input. The processor creates and stores a second recording data in the memory. The second recording data includes data remaining after excluding, from the acquired first recording data, recording data corresponding to a time interval from the detection initiation time point of the detected gesture input to detection termination time point of same.

A method and device for monitoring luminous intensity of display pixel is provided. The device includes self-luminous LED display, optical glue, photo-detecting array film and processing chip. The optical glue is attached to lower surface of the self-luminous LED display. The photo-detecting array film is disposed under the optical glue. The self-luminous LED display includes display pixels. Each display pixel includes a luminescent layer. The refractive index of the optical glue is smaller than that of the cover glass. The device uses the optical glue to filter the reflected light in the effective area corresponding to each display pixel. After that, the processing chip calculates the luminous intensity of the display pixel according to the first reflected optical signal detected by the photo-detecting array film. When it is determined that the luminous intensity of the display pixel is not changed in the preset period, a feedback signal is transmitted.

Aspects of the present disclosure relate to a stand break detection system. In some embodiments, the stand break detection system includes a sensor and a data processing system. The sensor may measure a movement of drill pipe as it is tripped out of a wellbore. The processor may execute instructions stored in a memory to receive measured movement data from the sensor and identify a stand break associated with one or more drill pipes using the measured movement data.

Provided is an electronic equipment offering a plurality of controllable functionalities and that receives information designating a functionality selected amongst this plurality of controllable functionalities. The electronic equipment also receives a plurality of recordings of a same group of at least one user input for this selected functionality. The electronic equipment also applies a trained neural network model on this received plurality of recordings to recognize an input pattern. The electronic equipment also associates this recognized input pattern with this selected functionality, and stores this association in a memory. The electronic equipment also controls this selected functionality based on this stored association.

The current invention concerns a computer-implemented method, a computer system, and a computer program product for the semantic classification of an entity in a building information model (BIM). The BIM comprises multiple target entities. Update data is obtained. For each target entity, geometric information about the target entity is obtained from the BIM. For each target entity, an initial probability distribution of semantic classification is determined based on the obtained geometric information about the target entity. Relative geometric information about the target entities is obtained from the BIM. For each target entity, an updated probability distribution of semantic classification is determined based on the obtained relative geometric information, the initial probability distributions of all target entities, and the update data. For each target entity, a semantic classification is selected based on the updated probability distribution of the target entity.

A display screen, comprising a panel (1), a light-emitting plate (2), a light blocking film (3) and an image sensor (4) that are stacked sequentially. The light blocking film (3) is provided with a light-transmitting imaging pinhole (31); the light-emitting plate (2) is provided with a plurality of light-emitting units (21) and a circuit network (22) for driving each of the light-emitting units (21), wherein the circuit network (22) divides the light-emitting plate (2) into a plurality of light-transmitting regions (23), and a light path is formed by the panel (1), the light-transmitting region (23) corresponding to a position of the imaging pinhole and the imaging pinhole (31); alternatively, the light-emitting plate (2) is a plane light-emitting plate which is light-transmissive, and a light path is formed by the panel (1), the plane light-emitting plate and the imaging pinhole (31); and a part of light projected by the light-emitting plate (2) toward the panel (1) is reflected by a target object located on or outside the panel (1), and then irradiated onto the image sensor (4) through the light path. According to the principle of pinhole imaging, the light passing through the imaging pinhole (31) can image on the image sensor (4), thereby enabling the display screen to have both a display function and an image acquisition function.

A device for processing data sequences by means of a convolutional neural network is configured to carry out the following steps: receiving an input sequence comprising a plurality of data items captured over time using a sensor, each of said data items comprising a multi-dimensional representation of a scene, generating an output sequence representing the input sequence processed item-wise by the convolutional neural network, wherein generating the output sequence comprises: generating a grid-generation sequence based on a combination of the input sequence and an intermediate grid-generation sequence representing a past portion of the output sequence or the grid-generation sequence, generating a sampling grid on the basis of the grid-generation sequence, generating an intermediate output sequence by sampling from the past portion of the output sequence according to the sampling grid, and generating the output sequence based on a weighted combination of the intermediate output sequence and the input sequence.

A method for autonomously maneuvering a tow vehicle towards a trailer positioned behind the tow vehicle is provided. The method includes receiving one or more images from one or more cameras positioned on a back portion of the tow vehicle. The method also includes identifying a trailer representation within the one or more images. The trailer representation being indicative of the trailer positioned behind the tow vehicle. The method also includes setting a vertical center of the trailer representation as a target. The method also includes determining a first steering wheel angle to turn the tow vehicle such that the vehicle autonomously maneuvers in a direction towards the target. The method also includes transmitting instructions to a drive system causing the tow vehicle to maneuver based on the first steering wheel angle.

The present invention provides a method and a system for quickly eliminating signal spikes of structural health monitoring in civil engineering, including the following steps: (1) quickly identifying, by using a threshold method, a spike position in a time domain; (2) extracting spike features in a time-frequency domain through wavelet transform for a signal within a set range near the spike position; and (3) eliminating spike feature components in wavelet coefficients, and effectively eliminating a spike through inverse wavelet transform. The method and system combine the advantages of a high calculation speed of a time domain method and high resolution of a time-frequency domain method, which can make an algorithm fast and accurate. In addition to eliminating a spike, the method and system also retain wanted signal components, and have good applicability to structural health monitoring signals in civil engineering with complex time-frequency characteristics and a large amount of data.

An electronic device according to various embodiments comprises: a display; an image sensor disposed under the display configured to receive second information based on first information corresponding to light reflected from a subject being converted by passing through the display; a memory; and a processor operatively coupled to the display, the image sensor, and the memory, wherein the display may include: a light emitting unit including a plurality of light emitting diodes for generating light, a TFT layer on which a plurality of thin film transistors (TFTs) are mounted, and a conductive line electrically connected to the plurality of thin film transistors; the first information may be converted into second information by passing through the light emitting unit, the TFT layer, and the conductive line; and the processor may store the second information in the memory.