Abstract: The present disclosure discloses an image processing device including: a receiving module configured to receive a voice signal and an image to be processed; a conversion module configured to convert the voice signal into an image processing instruction and determine a target area according to a target voice instruction conversion model, in which the target area is a processing area of the image to be processed; and a processing module configured to process the target area according to the image processing instruction and a target image processing model. The examples may realize the functionality of using voice commands to control image processing, which may save users' time spent in learning image processing software prior to image processing, and improve user experience.

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: The present disclosure provides a computing method that is applied to a computing device. The computing device includes: a memory, a register unit, and a matrix computing unit. The method includes the following steps: controlling, by the computing device, the matrix computing unit to obtain a first operation instruction, where the first operation instruction includes a matrix reading instruction for a matrix required for executing the instruction; controlling, by the computing device, an operating unit to send a reading command to the memory according to the matrix reading instruction; and controlling, by the computing device, the operating unit to read a matrix corresponding to the matrix reading instruction in a batch reading manner, and executing the first operation instruction on the matrix. The technical solutions in the present disclosure have the advantages of fast computing speed and high efficiency.

Abstract: The present disclosure discloses an image processing device including: a receiving module configured to receive a voice signal and an image to be processed; a conversion module configured to convert the voice signal into an image processing instruction and determine a target area according to a target voice instruction conversion model, in which the target area is a processing area of the image to be processed; and a processing module configured to process the target area according to the image processing instruction and a target image processing model. The examples may realize the functionality of using voice commands to control image processing, which may save users' time spent in learning image processing software prior to image processing, and improve user experience.

Abstract: A pulse hydrogen supply system for a proton exchange membrane fuel cell is provided. The system comprises a fuel cell, a high-pressure hydrogen bottle, a first pressure relief valve, an ejector, a steam-water separator, a first pressure control valve, a first pressure sensor, a high-pressure vessel, a first electromagnetic valve, a low-pressure vessel, a diaphragm pump, and a second electromagnetic valve. The high-pressure hydrogen bottle, the first pressure relief valve, the first pressure control valve, the ejector and the first pressure sensor are sequentially arranged on a gas inlet pipeline; the high-pressure vessel and the first electromagnetic valve are sequentially arranged on a branch pipeline; the second electromagnetic valve, the low-pressure vessel and the diaphragm pump are sequentially arranged on a first output loop; and the first output pipeline and the gas inlet pipeline form a loop.

Abstract: The present disclosure discloses an image processing device including: a receiving module configured to receive a voice signal and an image to be processed; a conversion module configured to convert the voice signal into an image processing instruction and determine a target area according to a target voice instruction conversion model, in which the target area is a processing area of the image to be processed; and a processing module configured to process the target area according to the image processing instruction and a target image processing model. The examples may realize the functionality of using voice commands to control image processing, which may save users' time spent in learning image processing software prior to image processing, and improve user experience.

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: The disclosure provides a data processing device and method. The data processing device may include: a task configuration information storage unit and a task queue configuration unit. The task configuration information storage unit is configured to store configuration information of tasks. The task queue configuration unit is configured to configure a task queue according to the configuration information stored in the task configuration information storage unit. According to the disclosure, a task queue may be configured according to the configuration information.

Abstract: Provided are an integrated circuit chip apparatus and a related product, the integrated circuit chip apparatus being used for executing a multiplication operation, a convolution operation or a training operation of a neural network. The present technical solution has the advantages of a small amount of calculation and low power consumption.

Abstract: A multistorey garage for buses includes: an elevator platform; an elevator transmission system; a vehicle supporting plate; a charging device; and a steel cable set. The elevator platform is positioned on a ground floor of the multistorey garage. The elevator platform includes a storage and retrieval device and a safety leveling device. The elevator transmission system is positioned on a top floor of the multistorey garage. The elevator transmission system and the elevator platform are arranged symmetrically with respect to a horizontal central axis of the multistorey garage. The steel cable set is connected to the elevator transmission system, a counterweight, and the elevator platform. In the multistorey garage, a vehicle supporting plate is provided in each parking space. The charging device is mounted at the vehicle supporting plate. Also provided is a method of using the multistorey garage for buses.

Abstract: A method for identifying sunny and rainy moments by utilizing multiple characteristic quantities of high-frequency satellite-ground links is provided. The method may include the following steps of: extracting multiple characteristic quantities including standard deviation, trend, maximum value, minimum value, average value, skewness, kurtosis and information entropy; selecting an optimal time window through adjustment; and finally realizing the identification of the sunny and rainy moments by utilizing a classification algorithm. According to the method for identifying the sunny and rainy moments, sunny and rainy periods can be accurately distinguished by utilizing the signals of the high-frequency satellite-ground links, and real-time monitoring of large-range sunny and rainy distribution conditions is achieved.

Abstract: An unmanned aerial vehicle (UAV) control method includes a takeoff process, a following process and a landing process, wherein the takeoff process includes the following steps: unlocking the UAV, and detecting the current horizontal position of the UAV in the horizontal direction and the current altitude of the UAV in the vertical direction; determining whether the current horizontal position and the current altitude meet takeoff criteria, and controlling the UAV to bounce off and enter into a takeoff state if the determination result is positive. The system provided by the present disclosure employs the above-mentioned method to control a UAV. The method and system provided by the present disclosure meet three functional requirements for a UAV on a moving base platform, namely, stable takeoff, following process and accurate landing, thus decrease the difficulties in the use of a UAV on a moving platform.

Abstract: The present disclosure provides a signal processing device, including a signal collector, an instruction converter, and a processor. Examples of the present disclosure may achieve precise recognition of users' intentions and bring operational conveniences to users.

Abstract: The present disclosure provides a computing method that is applied to a computing device. The computing device includes: a memory, a register unit, and a matrix computing unit. The method includes the following steps: controlling, by the computing device, the matrix computing unit to obtain a first operation instruction, where the first operation instruction includes a matrix reading instruction for a matrix required for executing the instruction; controlling, by the computing device, an operating unit to send a reading command to the memory according to the matrix reading instruction; and controlling, by the computing device, the operating unit to read a matrix corresponding to the matrix reading instruction in a batch reading manner, and executing the first operation instruction on the matrix. The technical solutions in the present disclosure have the advantages of fast computing speed and high efficiency.

Abstract: The present disclosure provides a computation device including: a computation module for executing a neural network computation, and a power conversion module connected to the computation module, for converting input data and/or output data of the neural network computation into power data. The present disclosure further provides a computation method. The computation device and method of the present disclosure may reduce the cost of storage resources and computing resources, and may increase the computation speed.

Abstract: Disclosed are an information processing method and a terminal device. The method comprises: acquiring first information, wherein the first information is information to be processed by a terminal device; calling an operation instruction in a calculation apparatus to calculate the first information so as to obtain second information; and outputting the second information. By means of the examples in the present disclosure, a calculation apparatus of a terminal device can be used to call an operation instruction to process first information, so as to output second information of a target desired by a user, thereby improving the information processing efficiency. The present technical solution has advantages of a fast computation speed and high efficiency.

Abstract: Disclosed are an information processing method and a terminal device. The method comprises: acquiring first information, wherein the first information is information to be processed by a terminal device; calling an operation instruction in a calculation apparatus to calculate the first information so as to obtain second information; and outputting the second information. By means of the embodiments in the present disclosure, a calculation apparatus of a terminal device can be used to call an operation instruction to process first information, so as to output second information of a target desired by a user, thereby improving the information processing efficiency.

Abstract: A method for producing an epoxyalkane includes the step of separating a stream containing an epoxyalkane and an extracting agent in a separation column having a column kettle reboiler. A part of a stream in the column kettle of the separation column enters an extracting agent purifier and is treated to obtain a gas phase light fraction that returns to the separation column and a liquid phase heavy fraction that is subjected to a post-treatment. The method can be used in the industrial production of an epoxyalkane.