Abstract: A phase-change heat exchanger and a heat exchange core thereof are provided according to the present application, which include an evaporator and a condenser which is in communication with the evaporator and is located above the evaporator, and at least one of the evaporator and the condenser is inclined in the housing. In the actual use, since at least one of the evaporator and the condenser is inclined in the housing, a space in a thickness direction of an inner cavity of a housing of the phase-change heat exchanger can be fully utilized, a span in a connection direction between the evaporator and the condenser can be reduced, and thus an overall volume of the phase-change heat exchanger can be reduced.

Abstract: Disclosed is an electric vehicle load aggregation method based on continuous tracking of wind power curve, including: constructing an electric vehicle load consumption wind power curve aggregation model to obtain an electric vehicle call result, and calculating the abandoned wind power through the electric vehicle call result; optimizing the abandoned wind power quantity by energy storage equipment to obtain the abandoned wind power quantity after energy storage adjustment and optimization, setting the energy storage power and capacity configuration, and constructing a wind power curve continuous tracking model after energy storage adjustment and optimization; and solving the charging and discharging power of the energy storage equipment in each time period based on the wind power curve continuous tracking model after the energy storage adjustment and optimization, and calculating the cost of output aggregation.

Abstract: A speak includes a housing, a diaphragm, a first vibrating assembly, and a second vibrating assembly. The housing has an accommodating groove. The diaphragm is relatively arranged in the accommodating groove. The diaphragm includes a first diaphragm part and a second diaphragm part. The second diaphragm part is arranged around the first diaphragm part. The first vibrating assembly is arranged on the first diaphragm part, for driving the first diaphragm part. A movable space is formed between the first diaphragm part and the bottom of the accommodating groove. The second vibrating assembly is on the peripheral side of the movable space. The first vibrating assembly vibrating through piezoelectric means.

Abstract: An inverter is provided according to the present disclosure. The inverter is configured with a first direction and a second direction, the first direction and the second direction are vertical to each other, and a length of the inverter in the first direction is greater than a length of the inverter in the second direction; the inverter comprises a direct current device and an inversion alternating current device, and the direct current device and the inversion alternating current device are arranged along the first direction and electrically connected; wherein the direct current device and the inversion alternating current device are arranged alternately; or the inversion alternating current device is arranged collectively and the direct current device is arranged on an outside of the alternating current device.

Abstract: A decoder decodes a bitstream of a video and determines decoding parameters of a current picture in the video; determines, according to the decoding parameters of the current picture, reconstructed data of a second picture component of the current picture based on the reconstructed data of the first picture component by using a prediction model; determines decoded data based on the reconstructed data of the first picture component and the reconstructed data of the second picture component. An encoder determines identification information of a current picture in a video; codes reconstructed data of a first picture component; the encoder skips encoding of the reconstructed data of the second picture component, in response to the identification information indicating using the prediction model for determining the reconstructed data of the second picture component; and signals coded bits into a bitstream of the video.

Abstract: The application discloses a picture prediction method, an encoder, a decoder and a computer storage medium. The method includes determining a prediction mode parameter of a current block; determining a reconstructed value of a first colour component of the current block and a value of a reference colour component of the current block, in response to the prediction mode parameter indicating determining a prediction value of the current block by using an attention-based artificial neural network model (ANNM) mode; and predicting, according to the reconstructed value of the first colour component of the current block and the value of the reference colour component of the current block, a second colour component of the current block, to determine a prediction value of the second colour component of the current block.

Abstract: A channel measurement method includes: receiving a plurality of reference signals in a plurality of first frequency domain units in a same time domain unit, where the plurality of reference signals may be respectively precoded by using precoding matrices corresponding to the first frequency domain units in which the plurality of reference signals are located, and precoding matrices corresponding to at least two different first frequency domain units in the plurality of first frequency domain units are different; generating a precoding matrix indicator (PMI) based on the plurality of reference signals, where the PMI indicates a plurality of codewords corresponding to a plurality of second frequency domain units, the plurality of second frequency domain units and the plurality of first frequency domain units belong to a same frequency domain resource, and the plurality of codewords may be used for determining a downlink channel; and sending the PMI.

Abstract: The present disclosure provides a method and apparatus for determining an attribute value of an obstacle in vehicle infrastructure cooperation. The method includes: acquiring vehicle-end data collected by at least one sensor of an autonomous driving vehicle; acquiring vehicle wireless communication V2X data transmitted by a roadside device; and fusing, in response to determining that an obstacle is at an edge of a blind spot of the autonomous driving vehicle, the vehicle-end data and the V2X data to obtain an attribute estimated value of the obstacle.

Abstract: A test and measurement instrument including a signal generator configured to generate a waveform to be sent over a cable to a device under test (DUT) and a real-time waveform monitor (RTWM) circuit. The RTWM is configured to determine a propagation delay of the cable, capture a first waveform, including an incident waveform and a reflection waveform at a first test point between the signal generator and the DUT, capture a second waveform including at least the incident waveform at a second test point between the signal generator and the DUT, determine a reflection waveform and the incident waveform based on the first waveform and the second waveform, and determine a DUT waveform based on the incident waveform, the reflection waveform, and the propagation delay. The DUT waveform represents the waveform generated by the signal generator as received by the DUT.

Abstract: An apparatus: obtains K downlink channel weight matrices based on K pieces of downlink channel information sent by K UEs, where the downlink channel information is fed back by the UE in response to a preset reference signal sent by the base station, the downlink channel weight matrix is an NT×rank-dimensional matrix, and rank is a quantity of signal streams received by the UE; obtains K×rank first initial phase difference matrices and K×rank second initial phase difference matrices based on the K downlink channel weight matrices and a first polarization direction and a second polarization direction of transmit channels of the base station; obtains a cell initial phase difference matrix based on the K×rank first initial phase difference matrices and the K×rank second initial phase difference matrices; and implements initial phase correction of the transmit channels based on the cell initial phase difference matrix.

Abstract: A computing system includes a host computing device and a slave computing device. The host computing device comprises a host processor, a host device memory and a host address mapping management. The host address mapping management manages a system memory page table, and converts, in response to a data access request from a processing process run on the host processor, requested virtual addresses into host device physical addresses based on the system memory page table to allow the processing process to access corresponding host storage units. The slave computing device includes a slave processor callable by the host processor to assist the host processor in running the processing processes, a slave device memory and a slave address mapping management unit.

Abstract: Embodiments of the disclosure provide a method, apparatus, system, and storage medium for performing an EDA task. The method comprises: reconstructing the EDA task into a plurality of subtasks that are executed according to a given process, the plurality of subtasks comprising a first subtask and a second subtask; determining a plurality of computing resources corresponding to the plurality of subtasks, the plurality of computing resources comprising a first computing resource corresponding to the first subtask and a second computing resource corresponding to the second subtask; and invoking the plurality of computing resources according to the given process to execute the plurality of subtasks.

Abstract: A prediction method for charging loads of electric vehicles with consideration of data correlation includes: collecting historical data of the charging loads of the electric vehicles; carrying out data correlation analysis on the historical data of the charging loads of the electric vehicles, and real-time data, and calculating correlation coefficients between the historical data of the charging loads of the electric vehicles and the real-time data; based on the correlation coefficients, selecting historical data of the charging loads of the electric vehicles, which has high correlation, as data of the charging loads of the electric vehicles, which is used for prediction; and predicting the historical data of the charging loads of the electric vehicles, serving as the data of the charging loads of the electric vehicles, which is used for prediction, by adopting an LSTM algorithm, to obtain prediction results.

Abstract: A method for optimizing dispatching of charging loads of electric vehicles to promote wind power consumption includes: acquiring blocked electric quantity of wind power at a peak down-regulation period; acquiring a curve of disorderly charging loads of the electric vehicles; establishing a model for optimizing the charging loads of the electric vehicles to promote wind power consumption, wherein an objective function of the model refers to that the electric vehicles participate in wind power consumption to minimize the remaining blocked quantity of the wind power, and the total charging cost of the electric vehicles is lowest, and acquiring constraint conditions of the model; and solving the optimization model by adopting an adaptive mutation particle swarm optimization algorithm, to obtain the target charging/discharging electric quantity and the target charging/discharging power of the electric vehicles.

Abstract: A device and method for controlling the audio level of a device are provided. The device includes a housing, a roll unit mounted such that it is able to rotate in the housing, a flexible, touch-sensitive display configured to be rolled on the roll unit around a roll axis so that a first, curved portion of the display forms a side screen bent around the roll unit, and a second, planar portion of the display forms a front screen, wherein the area of the front screen changes according to a rotation of the roll unit, and a controller configured to adjust, in response to detecting a predefined multi-touch gesture on the side screen, an audio output volume of the device.

Abstract: Disclosed is a prediction method and device for a clearing price of an auxiliary service for peak regulation, including: acquiring continuous N days of historical data of clearing prices of an auxiliary service market for peak regulation and respectively moving data of original clearing prices forwards by 1, 2, . . . k days, so as to obtain D?1, D?2 . . . D?k data columns; performing first-round training and prediction by adopting a BP (Back Propagation) neural network, a BP neural network optimized by a PSO (Particle Swarm Optimization) algorithm and an LSSVM (Least Square Support Vector Machine), and forming a BP-expansion column, a PSO_BP-expansion column and an LSSVM-expansion column; training the BP neural network by taking first N?k days of time points and D?1, D?2 . . . D?k clearing prices, the BP-expansion column, the PSO_BP-expansion column, the LSSVM-expansion column and the original clearing prices as training data; and performing prediction for the clearing price.

Abstract: The present application pertains to a processing device or a distributed processing system using the processing device.