Abstract: Disclosed are a method, a device and a non-transitory storage medium. The method includes: deploying a detection satellite to fly in one detection orbital plane opposite to the satellites in the large-scale constellation, to sequentially detect satellites flying in one target orbital plane of the large-scale constellation in a manner that an approach distance between the detection satellite and a satellite being detected is within a set detection distance, transmitting the detection satellite from the one detection orbital plane to another detection orbital plane in virtue of Earth oblateness perturbation, so as to sequentially detect satellites flying in another target orbital plane of the large-scale constellation in a manner that the approach distance between the detection satellite and a satellite being detected is within the set detection distance, and stopping the detection satellite from detecting until all satellites of the large-scale constellation have been detected.

Abstract: A method for determining a wavefront parameter of a patterning process. The method includes obtaining a reference performance (e.g., a contour, EPE, CD) of a reference apparatus (e.g., a scanner), a lens model for a patterning apparatus configured to convert a wavefront parameter of a wavefront to actuator movement, and a lens fingerprint of a tuning apparatus (e.g., a to-be-matched scanner). Further, the method involves determining the wavefront parameter (e.g., a wavefront parameter such as tilt, offset, etc.) based on the lens fingerprint of the tuning apparatus, the lens model, and a cost function, wherein the cost function is a difference between the reference performance and a tuning apparatus performance.

Abstract: Embodiments of the disclosure provide an image processing method and apparatus, a computer-readable medium, and an electronic device. The image processing method includes: extracting a feature map of a target image; dividing the feature map into target regions; determining weights of the target regions according to feature vectors of the target regions; and generating a feature vector of the target image according to the weights of the target regions and the feature vectors of the target regions.

Abstract: An adaptive seat massage system and a method of controlling the same include a massage module providing a massage function in a plurality of regions of a seat; a pressure measurement module detecting pressure applied to the seat by a user in the regions of the seat and transmits pressure measurement signal corresponding to respective regions among the plurality of regions; and a control module determining whether to operate the massage module in at least one region based on the pressure measurement signal received from the pressure measurement module, determining, when the massage module is operated in the at least one region, an operating mode of the massage module in the at least one region based on the pressure measurement signal, and transmitting a control signal corresponding to the determined operating mode to the massage module to control an operation of the massage module in the at least one region.

Abstract: The disclosure provides a display substrate, a manufacturing method thereof and a display device. The display substrate has a plurality of subpixel regions. The display substrate includes a base substrate and a pixel definition layer on the base substrate. The pixel definition layer defines a plurality of subpixel openings and each of the subpixel openings occupies one subpixel region. The display substrate further includes a functional medium layer on a side of the pixel definition layer away from the base substrate. The functional medium layer includes a first portion covering side surfaces of the subpixel opening and a second portion covering a top surface of the pixel definition layer. In the same subpixel region, surface energy of the first portion is greater than surface energy of the second portion.

Abstract: At least one computer processor can replace visual words of an unsupervised machine learning classification model with visual objects of an image. At least two co-occurring single visual objects adjacent to each other in pixels of the image can be combined to obtain a compound visual object. The unsupervised machine learning classification model can be augmented to model the image as a mixture of subjects, where each subject is represented through placements of the visual objects in a mixture of concentric spheres centering on a mixture of intersections on a mixture of horizontal layers. At least one processor can learn latent relationships between the placements of the visual objects in a three-dimensional space depicted in the image and image semantics. Learning the latent relationships trains the unsupervised machine learning classification model to perform image subject classification through the placements of the visual objects in a new image.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for dynamic update of a computer program in memory. According to the method, one or more processors obtain incremental information, the incremental information specifying an incremental update to at least one section of at least one target function in a computer program. One or more processors identify, based on the incremental information, the at least one target function to be updated from the computer program. One or more processors generate at least one updated copy of the at least one target function by updating the at least one section of the at least one target function based on the incremental information. One or more processors update the computer program based on the at least one updated copy of the at least one target function while the computer program is running.

Abstract: Please replace the abstract originally filed with the following: A display panel and a display device. Because the pixel distribution density in a second display subarea (A12) is lower than that in a first display subarea (A11), the quantities of sub-pixels (pix) connected to scanning lines are not completely the same; a sub-pixel row having the greatest quantity of sub-pixels (pix) in the display panel is taken as a reference sub-pixel row, the quantity of the sub-pixels (pix) of the reference sub-pixel row is taken as a reference value, a sub-pixel row having the quantity of sub-pixels (pix) smaller than the reference value is taken as a compensation sub-pixel row, and a scanning line connected to the compensation sub-pixel row is taken as a first scanning line; the display panel is provided with load compensation units corresponding to at least part of the first scanning lines, and the load compensation units are located in the second display subarea.

Abstract: In a method for configuring and managing a Time Sensitive Networking (TSN) network, a network packet is regularly captured and parameters are extracted. The parameters are submitted to a distributed learning model for matching an application according to the parameters, and a network requirement of the application is obtained. Such obtained network requirements are uploaded to a centralized network configuration (CNC) through a message transmission protocol, and a configuration of the network requirement is calculated through the CNC. The configuration calculated by the CNC is received and delivered to a TSN switch, causing the TSN switch to dynamically update the network configuration accordingly.

Abstract: An electronic device component including a thermoset composite material is described herein. The electronic device component may be a structural component of the housing and define an exterior surface of the housing. The electronic device component may also be transparent to radio-frequency signals.

Abstract: An electronic device component including a thermoset composite material is described herein. The electronic device component may be a structural component of the housing and define an exterior surface of the housing. The electronic device component may also be transparent to radio-frequency signals.

Abstract: A method for predicting an aging state of a device battery with at least one electrochemical unit includes providing a temporal operating variable profile of an operating variable of a device battery, determining successive cycles from the temporal operating variable profile, respectively assigning the determined cycles to predetermined cycle profiles so that a sequence of cycle profiles is obtained, determining a frequency distribution of transitions in the obtained sequence of cycle profiles in the form of a hidden Markov model, creating a predicted sequence of cycle profiles by successively, randomly selecting cycle profiles according to the frequency distribution of the transitions, assigning profile operating variable profiles assigned to the cycle profiles to the predicted sequence of cycle profiles to obtain a predicted operating variable profile, and determining a predicted aging state or a predicted aging state profile based on the predicted operating variable profile using a predetermined aging stat

Abstract: A charging case for a pair of wireless earphones comprising: a housing having a peripheral wall that defines a shell; a frame insert coupled to the housing and extending into the shell, the frame insert having one or more insert walls that define first and second pockets sized and shaped to accept first and second wireless earphones, respectively, wherein the one or more insert walls cooperate with the housing primary wall to define a sealed chamber within the charging case; a lid coupled to the housing and operable between a closed position in which the lid covers the first and second pockets and an open position in which the first and second pockets are exposed; a speaker module disposed within the sealed chamber, the speaker module comprising an audio driver having a diaphragm that separates a front volume of the audio driver from a back volume of the audio driver and a speaker vent disposed within the back volume; one or more first openings formed through the peripheral wall and opening into the front vol

Abstract: A detachable headband for a headphone system can incorporate a headband identification circuit that stores or encodes a headband identification parameter value. When the headband becomes attached to an ear cup, the headband can transmit the headband identification parameter value to the ear cup.

Abstract: Geologic modeling methods and systems disclosed herein employ fault face parameterization to constrain and improve the transformation of a faulted physical space geologic model into an unfaulted depositional space geologic model. An illustrative embodiment includes: associating a seismic image with each face of at least one fault in a subsurface region; determining a correspondence map between the seismic images for said at least one fault; parameterizing the faces using the correspondence map to match parameter value assignments for corresponding portions of the faces; creating a displacement map that draws together matching parameter values to align the corresponding portions of the faces; applying the displacement map to the geologic model to create a design space model; modifying the design space model; applying the displacement map in reverse to the modified design space model to obtain a modified geologic model; and outputting the modified geologic model.

Abstract: A detachable headband for a headphone system can incorporate a headband identification circuit that stores or encodes a headband identification parameter value. When the headband becomes attached to an ear cup, the headband can transmit the headband identification parameter value to the ear cup.

Abstract: In a method for configuring and managing a Time Sensitive Networking (TSN) network, a network packet is regularly captured and parameters are extracted. The parameters are submitted to a distributed learning model for matching an application according to the parameters, and a network requirement of the application is obtained. Such obtained network requirements are uploaded to a centralized network configuration (CNC) through a message transmission protocol, and a configuration of the network requirement is calculated through the CNC. The configuration calculated by the CNC is received and delivered to a TSN switch, causing the TSN switch to dynamically update the network configuration accordingly.

Abstract: The inventive concepts provide a three-dimensional (3D) image sensor, based on structured light (SL), having a structure in which difficulty in a manufacturing process of a wiring layer is decreased and/or an area of a bottom pad of a capacitor is increased. The 3D image sensor includes: a pixel area including a photodiode in a semiconductor substrate and a gate group including a plurality of gates; a multiple wiring layer on an upper portion of the pixel area, the multiple wiring layer including at least two wiring layers; and a capacitor structure between a first wiring layer on a lowermost wiring layer of the multiple wiring layer and a second wiring layer on the first wiring layer, the capacitor structure including a bottom pad, a top pad, and a plurality of capacitors, wherein the bottom pad is connected to the first wiring layer.

Abstract: Connector inserts and connector receptacles that have a small form factor and where when a connector insert and connector receptacle are mated, the connector insert can rotate and articulate relative to an electronic device housing the connector receptacle. The connector receptacle can be connected to components in the electronic device through a flexible circuit board having an amount of slack or excess length to allow the connector receptacle and the connector insert to rotate relative to the connected components. A bearing supporting the connector receptacle can articulate about an axis to allow the connector receptacle and connector insert to articulate relative to the connected components. The bearing can further support a locking mechanism to lock the connector insert in place in the connector receptacle.

Abstract: The present invention discloses a shader auto-simplifying method and system based on a rendering instruction flow, the method including: obtaining a rendering instruction flow, extracting a target shader from the rendering instruction flow, and creating a simplifying shader differing from the target shader in code only; intercepting a current frame of a rendering instruction comprising a rendering initiating instruction of the target shader as a particular frame; obtaining time consumed by the simplifying shader by measuring time needed for rendering the particular frame with the simplifying shader; obtaining error(s) of the simplifying shader by measuring a pixel difference value between a rendering frame drawn by the simplifying shader and the particular frame when a rendering instruction corresponding to the particular frame is executed; and screening an optimal simplifying shader according to the time consumed by the simplifying shader and the error of the simplifying shader.