Abstract: A flow field identification method of artificial intelligence fish simulation system uses cluster server parallel sampling to obtain continuous flow field time series information data. After preprocessing the data, the method uses the lateral line perceptron of recurrent neural network or convolutional neural network based on long time series to continuously acquire data, train and iterate. Finally, the method can identify the flow field sequence data signal with time series property, wherein, the perceived flow field signals include but are not limited to velocity, pressure and vorticity, and the experimental results are continuously filled into the experimental database, which will have the effect of memory transplantation on the artificial fish and reduce the occurrence of repetitive errors. The method identifies the flow field of an artificial intelligence fish simulation system, which can fully reflect the characteristics of the flow field from the aspects of amplitude, frequency, and wavelength.

Abstract: Disclosed are a display panel and a display apparatus, wherein the display panel includes a plurality of first signal lines extending along a first direction and a plurality of pixel units arranged in an array in the first direction and a second direction; at least one pixel unit among the plurality of pixel units includes a component group and a drive chip configured to drive the component group to emit light; the component group includes K light emitting elements, and the drive chip includes K signal channel terminals, K is a positive integer greater than or equal to 2; for a pixel unit in a j-th row and an i-th column, cathodes of the K light emitting elements are electrically connected with an i-th first signal line, and an anode of an s-th light emitting element is electrically connected with an s-th signal channel terminal of the drive chip.

Abstract: The present application provides a full-process automatic control system and method based on a sludge double recirculation Anaerobic-Anoxic-Oxic (AOA) process. The system includes an anaerobic tank, an aerobic tank, an anoxic tank, a sedimentation tank, a monitoring system, an aeration system, a sludge discharge system, and a control system. The anaerobic tank, the aerobic tank, the anoxic tank, and the sedimentation tank are sequentially communicated. A sludge reflux port of the sedimentation tank is communicated with the anaerobic tank and the anoxic tank through a first sludge reflux pipe and a second sludge reflux pipe respectively. The monitoring system includes a water inlet flowmeter, a Chemical Oxygen Demand (COD) analyzer, NH3-N analyzers, a Dissolved Oxygen (DO) monitor, Mixed Liquor Suspended Solid (MLSS) analyzers, a gas flowmeter, a first reflux sludge flowmeter, a second reflux sludge flowmeter, and a sludge level meter that are all in communication connection with the control system.

Abstract: An array substrate and a driving method therefor, and a display apparatus are disclosed. The array substrate includes: a base substrate; and a plurality of pixels located on the base substrate, where the plurality of pixels are arranged in an array in a first direction and a second direction. At least one pixel of the plurality of pixels includes: sub-pixels, and a pixel driving chip for driving each sub-pixel in the pixel. The array substrate further includes: a plurality of addressing signal lines located on the base substrate, where the addressing signal lines are coupled to addressing signal ends of pixel driving chips of a row of the pixels arranged in the first direction; and a plurality of data lines located on the base substrate, where the data lines are coupled to data signal ends of pixel driving chips of a column of the pixels arranged in the second direction.

Abstract: Systems, apparatuses and methods include technology that identifies data that is to be transferred from a first device to a second device. The technology classifies the data into a category from a plurality of categories, selects a compression scheme from a plurality of compression schemes based on the category and compresses the data based on the compression scheme.

Abstract: Embodiments of the present disclosure provide an electronic device and a display driving method. The electronic device includes a plurality of device groups and a plurality of driving elements; a first terminal of at least one device group among the plurality of device groups is coupled with a positive signal line, a second terminal of at least one device group among the plurality of device groups is coupled with an output terminal of any one of the plurality of driving elements, and a reference voltage terminal of any one of the plurality of driving elements is configured to be coupled with a reference signal line.

Abstract: Disclosed in the present application are a projection device and a method for the projection device. A projection device comprises a light modulation assembly, a lens, a distance sensor, an image collection device and a controller. The method comprises: in response to a start-up instruction for a projection device, starting the projection device; detecting whether there is a blocking object between the projection device and a projection surface according to the positional relationship between a lens, a distance sensor and an image collection device on a first plane and a distance measurement value of the distance sensor, wherein the first plane is a plane on the projection device that is parallel to the projection surface during projection, and the projection surface is used for receiving and displaying projection content, which is projected by a light modulation assembly.

Abstract: A pixel unit includes N light-emitting devices and a pixel driving chip. The pixel driving chip includes: a data signal terminal used to receive a data signal; a power supply signal terminal used to receive a power supply signal; and N signal channel terminals being in one-to-one correspondence with the N light-emitting devices. A first electrode of a first light-emitting device in the N light-emitting devices is configured to be coupled to the power supply signal terminal, a second electrode of an n-th light-emitting device in the N light-emitting devices is coupled to a first electrode of an (n+1)-th light-emitting device and an n-th signal channel terminal in the N signal channel terminals; N is a positive integer greater than 1, and n is a positive integer greater than or equal to 1 and less than or equal to N.

Abstract: A device including at least one processor, and an analog-to-digital (ADC) circuit, wherein the at least one processor is configured to generate an excitation signal and provide the excitation signal to a crystal in a pierce oscillation configuration, wherein after providing the excitation signal, the ADC circuit is configured to obtain as input a signal output from the crystal and convert the signal to a digital output; the at least one processor is configured to compare the digital output of the ADC circuit to a plurality of thresholds and based on the comparisons is further configured to drive the crystal to cause the crystal to operate as a pierce oscillator and to generate a clock signal from at least of one of the comparisons.

Abstract: A circuit substrate includes a base substrate, traces, a protective layer, and an electronic device. The traces are provided on the base substrate. The protective layer is provided on the traces, and has openings each exposing a portion of a trace, the portion serving as a conductive pattern. The electronic device includes a chip and multiple bumps provided on the chip. The conductive pattern is connected to at least one of the bumps on the chip. The conductive pattern includes a first portion and a second portion connected to each other. An orthographic projection of the chip on the base substrate covers an orthographic projection of the first portion on the base substrate, and is non-overlapping with an orthographic projection of the second portion on the base substrate. The total area of conductive patterns connected to the chip is less than an area of the chip.

Abstract: An array substrate and a driving method therefor, and a display apparatus are disclosed. The array substrate includes: a base substrate; and a plurality of pixels located on the base substrate, where the plurality of pixels are arranged in an array in a first direction and a second direction. At least one pixel of the plurality of pixels includes: sub-pixels, and a pixel driving chip for driving each sub-pixel in the pixel. The array substrate further includes: a plurality of addressing signal lines located on the base substrate, where the addressing signal lines are coupled to addressing signal ends of pixel driving chips of a row of the pixels arranged in the first direction; and a plurality of data lines located on the base substrate, where the data lines are coupled to data signal ends of pixel driving chips of a column of the pixels arranged in the second direction.

Abstract: A device including at least one processor, and an analog-to-digital (ADC) circuit, wherein the at least one processor is configured to generate an excitation signal and provide the excitation signal to a crystal in a pierce oscillation configuration, wherein after providing the excitation signal, the ADC circuit is configured to obtain as input a signal output from the crystal and convert the signal to a digital output; the at least one processor is configured to compare the digital output of the ADC circuit to a plurality of thresholds and based on the comparisons is further configured to drive the crystal to cause the crystal to operate as a pierce oscillator and to generate a clock signal from at least of one of the comparisons.

Abstract: A computing system can input first relative location embedding data into an interaction transformer model and receive, as an output of the interaction transformer model, motion forecast data for actors relative to a vehicle. The computing system can input the motion forecast data into a prediction model to receive respective trajectories for the actors for a current time step and respective projected trajectories for the actors for a subsequent time step. The computing system can generate second relative location embedding data based on the respective projected trajectories from the second time step. The computing system can produce second motion forecast data using the interaction transformer model based on the second relative location embedding. The computing system can determine second respective trajectories for the actors using the prediction model based on the second forecast data.

Abstract: A computing system can input first relative location embedding data into an interaction transformer model and receive, as an output of the interaction transformer model, motion forecast data for actors relative to a vehicle. The computing system can input the motion forecast data into a prediction model to receive respective trajectories for the actors for a current time step and respective projected trajectories for the actors for a subsequent time step. The computing system can generate second relative location embedding data based on the respective projected trajectories from the second time step. The computing system can produce second motion forecast data using the interaction transformer model based on the second relative location embedding. The computing system can determine second respective trajectories for the actors using the prediction model based on the second forecast data.

Abstract: A computing system can be configured to input data that describes sensor data into an object detection model and receive, as an output of the object detection model, object detection data describing features of the plurality of the actors relative to the autonomous vehicle. The computing system can generate an input sequence that describes the object detection data. The computing system can analyze the input sequence using an interaction model to produce, as an output of the interaction model, an attention embedding with respect to the plurality of actors. The computing system can be configured to input the attention embedding into a recurrent model and determine respective trajectories for the plurality of actors based on motion forecast data received as an output of the recurrent model.

Abstract: A disk hub is configured to retain a magnetic recording medium including an annulus shape and a layer configured for magnetic recording. The disk hub includes a base plate portion for supporting an inner diameter area of the magnetic recording medium and a stem portion on the base plate portion. The stem portion includes a frustoconical portion on the base plate portion and a top portion on the frustoconical portion. At least the top portion of the stem portion includes a material with a hardness less than that of stainless steel. The disk hub can reduce surface damages (e.g., scratches) on the media surface during media testing.

Abstract: The present disclosure provides a growth method of a high-temperature phase lanthanum borosilicate crystal, where the high-temperature phase lanthanum borosilicate crystal is a ?-La1-yLnyBSiO5 crystal prepared by a high-temperature flux method; a composite flux system is (La1-yLny)BO3—LiMoO4—SiO2—B2O3, and (La1-yLny)BO3, LiMoO4, SiO2, and B2O3 in the system have molar percentages of x1, x2, x3, and x4, respectively; 0<x1<0.3, 0.7?x2<1, 0<x3<0.3, x1+x2+x3=1, x1:x4=2:1 to 4:1. In the present disclosure, a difficulty is overcome in the crystal growth of ?-LaBSiO5 due to phase transition. The crystal is an optical function material that does not undergo the phase transition during annealing and can exist stably at room temperature. The crystal is widely used in laser, terahertz, and other fields.

Abstract: The invention relates to inhibitors of glucosylceramide synthase (GCS) useful for the treatment of metabolic diseases, such as lysosomal storage diseases, either alone or in combination with enzyme replacement therapy, and for the treatment of cancer.

Abstract: A computing system can input first relative location embedding data into an interaction transformer model and receive, as an output of the interaction transformer model, motion forecast data for actors relative to a vehicle. The computing system can input the motion forecast data into a prediction model to receive respective trajectories for the actors for a current time step and respective projected trajectories for the actors for a subsequent time step. The computing system can generate second relative location embedding data based on the respective projected trajectories from the second time step. The computing system can produce second motion forecast data using the interaction transformer model based on the second relative location embedding. The computing system can determine second respective trajectories for the actors using the prediction model based on the second forecast data.

Abstract: A computing system can be configured to input data that describes sensor data into an object detection model and receive, as an output of the object detection model, object detection data describing features of the plurality of the actors relative to the autonomous vehicle. The computing system can generate an input sequence that describes the object detection data. The computing system can analyze the input sequence using an interaction model to produce, as an output of the interaction model, an attention embedding with respect to the plurality of actors. The computing system can be configured to input the attention embedding into a recurrent model and determine respective trajectories for the plurality of actors based on motion forecast data received as an output of the recurrent model.