Abstract: An assessment and control method, system and device for time-energy efficiency of CNC machine tools. The method comprises: comprehensively analyzing the influence of factors of the startup rate and extra startup frequency of a CNC machine tool on the energy efficiency of the CNC machine tool, and constructing a mathematical model of the time-energy efficiency of the CNC machine tool and the startup rate and extra startup frequency of the CNC machine tool. The time-energy efficiency of the CNC machine tool is monitored to realize the overlimit warning function for the time-energy efficiency of the CNC machine tool to finally control the time-energy efficiency of the CNC machine tool within a target range. The present invention analyzes the influence of the downtime loss of the CNC machine tool on the energy efficiency of the CNC machine tool, and can realize overlimit warning for time-energy efficiency of the CNC machine tool.

Abstract: According to embodiments of the present invention, a sweat sensing device is provided. The sweat sensing device includes a continuous piece of hydrophilic paper including a first region for receiving sweat, a second region opposite the first region, and a third region therebetween; a flexible hydrophobic film having an opening; and a sensor unit. The hydrophobic film and the hydrophilic paper are arranged adjacent to each other with the opening aligned to and exposing the second region. The sensor unit is configured to facilitate a measurement based on the diffused sweat. The hydrophobic film and the hydrophilic paper are collectively folded in a stacked manner such that the sensor unit is sandwiched between the third and second regions. The hydrophilic paper is adapted for the received sweat to diffuse laterally along the hydrophilic paper. According to further embodiments, a method for forming the sweat sensing device is also provided.

Abstract: The present disclosure provides a measurement system and a measurement method related to the field of measurement techniques, the measurement system comprising: a light source configured to produce an original beam, wherein a return beam is formed by the original beam returning from a measured area of a measured object; an optical assembly configured to obtain a pending beam based on the return beam, wherein at least part of the pending beam acts as a first beam; a first detection device configured to obtain first detection information based on the first beam; a mobile device configured to move the optical assembly and the measured object with respect to each other in a direction of an optical axis of the optical assembly; and a processing system configured to determine an actual distance between the optical assembly and a fixed plane of the measured object at each first moment according to the first detection information at each first moment of a plurality of first moments.

Abstract: An intermediate car electric coupler control circuit for a subway vehicle includes a coupling state relay, a power supply circuit for a decoupling electromagnetic valve, a first power supply circuit for an electric coupler control relay, a second power supply circuit for an air path and electric coupler module control electromagnetic valve, and a third power supply circuit for a bus control contactor. A coupler coupling operation is performed exactly according to a sequence of a mechanical coupling, an air path conduction, an electric coupler extension, and a medium- and low-voltage bus closing, wherein contacts of electric couplers are prevented from being damaged. A coupler decoupling operation is performed exactly according to a sequence of a contact heavy-current removal, an electric coupler withdrawal, an air path disconnection and a mechanical decoupling, wherein the contacts are prevented from being damaged by a heavy current arcing and a discharge.

Abstract: A method for correcting a robot is provided. The method includes: providing a correction device, wherein the correction device comprises a jig wafer; grabbing and/or transferring the jig wafer by using the robot to obtain collected data; determining, based on the collected data, whether the robot needs to be corrected; and in response to that the robot needs to be corrected, obtaining a compensation value according to the collected data, and correcting the robot based on the compensation value.

Abstract: A method may include obtaining an image of a subject and determining a plurality of image blocks in the image. The method may also include extracting grayscale features from each of the plurality of image blocks and determining, based on the grayscale features, a segmentation threshold. The method may further include segmenting, based on the segmentation threshold, the image.

Abstract: Disclosed in the present disclosure are a beverage maker, and a method and device for controlling a beverage brewing process, which belong to the field of small household appliances. A brewing unit of the beverage maker includes a pressurizing member for generating pressure in the brewing unit in the beverage brewing process, and a pipe supplying water to the brewing unit is provided with a flowmeter. The method includes: supplying water to the brewing unit in response to a start signal of current beverage brewing, and obtaining state change information of the flowmeter, where the state change information is configured to indicate a rotational speed change trend of the flowmeter in a current beverage brewing process.

Abstract: An atomization core includes: a substrate; and a heating element in contact with the substrate, the heating element including SS316L heating wires and two electrode connecting portions. The SS316L heating wires heat an aerosol generation substrate. The two electrode connecting portions are electrically connectable to a power supply. The two electrode connecting portions are arranged at an interval. The SS316L heating wires are bent and extend to be connected to the two electrode connecting portions.

Abstract: The present disclosure provides a method for automated image acquisition and imaging processing. The method may include obtaining imaging information of an object. The method may include determining, based on the imaging information, at least target device positioning information of an imaging device. The method may include causing, based on the target device positioning information of the imaging device, the imaging device to be positioned to perform the image acquisition. The method may include providing, based on the inspection information, guidance information, the guidance information being configured to guide positioning of the object. The method may also include obtaining a target image from an imaging operation by the imaging device. Further, the method may include determining a target image processing algorithm of a medical image.

Abstract: A region-of-interest extraction method and an apparatus, and a device, a system and a storage medium are provided. The region-of-interest extraction method is applied to an X-ray imaging system. The X-ray imaging system includes a detector and an array X-ray source, the array X-ray source includes a plurality of X-ray sources having different projection angles, and imaging regions corresponding to the plurality of X-ray sources are formed on the detector.

Abstract: Methods of implementing a standard deconvolution on a graphics processing unit, the standard deconvolution being representable as a direct convolution between an input tensor to the standard deconvolution and each of a plurality of a sub-filters, each sub-filter of the plurality of sub-filters comprising a subset of weights of a filter of the standard deconvolution.

Abstract: Methods of implementing a sparse submanifold deconvolution on a graphics processing unit, the sparse submanifold deconvolution being representable as a direct convolution between an input tensor to the sparse submanifold deconvolution and each of a plurality of a sub-filters, each sub-filter of the plurality of sub-filters comprising a subset of weights of a filter of the sparse submanifold deconvolution.

Abstract: Methods of implementing a sparse submanifold convolution on a graphics processing unit. The methods include: receiving, at the graphics processing unit, an input tensor in a dense format; identifying, at the graphics processing unit, active positions of the input tensor; performing, at the graphics processing unit, an indexed unfold operation on the input tensor based on the identified active positions to generate an input matrix comprising elements of the input tensor in each active window of the input tensor; and performing, at the graphics processing unit, a matrix multiplication between a weight matrix and the input matrix to generate an output matrix that comprises elements of an output tensor of the sparse submanifold convolution based on the active windows. The methods may further comprise performing, at the graphics processing unit, an indexed fold operation on the output matrix based on the active windows to generate an output tensor in a dense format.

Abstract: Methods of implementing a standard convolution on a graphics processing unit. The methods include: receiving, at the graphics processing unit, an input tensor in a dense format; identifying, at the graphics processing unit, active positions of the input tensor; performing, at the graphics processing unit, an indexed unfold operation on the input tensor based on the identified active positions of the input tensor to generate an input matrix comprising elements of the input tensor in each non-zero window of the input tensor; and performing, at the graphics processing unit, a matrix multiplication between a weight matrix and the input matrix to generate an output matrix that comprises elements of an output tensor of the standard convolution based on the non-zero windows of the input tensor.

Abstract: Methods of implementing a sparse submanifold convolution using a neural network accelerator. The methods include: receiving, at the neural network accelerator, an input tensor in a sparse format; performing, at the neural network accelerator, for each position of a kernel of the sparse submanifold convolution, a 1×1 convolution between the received input tensor and weights of filters of the sparse submanifold convolution at that kernel position to generate a plurality of partial outputs; and combining appropriate partial outputs of the plurality of partial outputs to generate an output tensor of the sparse submanifold convolution in sparse format.

Abstract: A method may include obtaining an original image. The method may also include determining a plurality of decomposition coefficients of the original image by decomposing the original image. The method may also include determining at least one enhancement coefficient by performing enhancement to at least one of the plurality of decomposition coefficients using a coefficient enhancement model. The method may also include generating an enhanced image corresponding to the original image based on the at least one enhancement coefficient.

Abstract: The present disclosure relates to systems and methods for image reconstruction. The systems may obtain one or more projection images of an object and a first reconstruction image corresponding to the one or more projection images. The systems may determine, for each of the one or more projection images, an initial range of a target region on the projection image based on the first reconstruction image. The target region may be a low-gray region generated on the projection image by a substance with an X-ray attenuation coefficient greater than a predetermined threshold. The systems may determine, within the initial range, the target region on the projection image. The systems may generate a three-dimensional (3D) image of the object based at least on target regions corresponding to the one or more projection images.