39results about How to "Features" patented technology

The present invention provides a stator coil for a rotating electrical machine comprising a stator core and a coil formed by winding an enamel wire in a slot of the stator core, wherein the stator coil is characterized in that the enamel wire is coated with a cured substance of a first insulation wax containing a polyester resin, and the coil is coated with a cured substance of a second insulation wax containing epoxy acrylate resin. The stator coil for a rotating electrical machine has a high fixing strength of an insulating layer, is capable of preventing thermal deterioration of the enamel wire, and has favorable pressure resistance over a long period of time.

The invention discloses a method and device for classifying character strings, and belongs to the technical field of computer communication. The method includes the steps that character strings to be classified are acquired; multiple classification features are extracted from the character strings to be classified; normalization processing is carried out on the classification features, and multiple normalized classification features are obtained; through a classification model obtained through offline training, the character strings to be classified are classified according to the normalized classification features, and a classification result of the character strings to be classified is obtained. The device comprises an acquisition module, a first extraction module, a normalization module and a classification module. According to the method and the device, through the classification model obtained through offline training, the character strings to be classified are classified according to the normalized classification features, the classification result of the character strings to be classified is obtained, classification can be automatically achieved without manual work, and thus the efficiency is quite high.

The invention relates to a method for establishing a load sensitivity controlled axial plunger pump virtual prototype. The method comprises the following steps of: 1, establishing a kinetic model of an axial plunger pump in kinetic simulation software, and establishing a hydraulic system model of the axial plunger pump in hydraulic system simulation software; 2, establishing a software interface by using correlated condition variants and parameters associated with each other in the simulation process of the kinetic model and the hydraulic system model as transfer parameters between the two models; and 3, performing real-time data transmission and united simulation by using the software interface between the kinetic model and the hydraulic system model. By using a hydraulic-mechanical coupling united simulation technology in the method, advantages of the kinetic simulation software on the simulation aspect of a mechanical system and the hydraulic system simulation software on the simulation aspect of a control system are fully exerted; and by united simulation, accuracy of the simulation result of the axial plunger pump virtual prototype is improved, the experiment cost is reduced, the experiment efficiency is improved, and the design time is shortened.

The invention relates to the field of computer technology, and particularly to a point cloud data processing method, a point cloud data processing device, a point cloud rendering method and a point cloud rendering device, wherein the point cloud data processing method comprises the steps of constructing an octree structure of original point cloud data based on a spatial characteristic of the original point cloud data, wherein the octree structure comprises leaf nodes and non-leaf nodes; equally dividing the non-leaf nodes into a plurality of spatial blocks according to the spatial structure; and performing traversal of each spatial block in a plurality of spatial blocks, and if the point cloud data is included in the spatial block, extracting the point cloud data of one point cloud, thereby obtaining the non-leaf node after extraction. Through performing extraction processing on the non-leaf node of the octree structure, rendering efficiency is improved in performing screen rendering by means of the point cloud data of the non-leaf node. Furthermore, because the point cloud which is obtained through extraction is uniformly dispersed in the spatial block which comprises the point cloud, a problem of characteristic covering caused by over-concentration in an extraction result, and the characteristic of the original point cloud can be well represented.

The invention relates to a method for identifying the flow type of soft grain two-phase turbulence based on artificial intelligence, comprising the following steps: 1), collecting the pressure signals of the soft grain two-phase turbulence; 2), extracting and analyzing the pressure signal characteristics: carrying out multi-level division on a frequency band by using a small wave packet method, further decomposing a high-frequency part without dispersed multiple resolution ratios, adaptively selecting corresponding frequency bands according to the characteristics of the analyzed signals so asto match the corresponding frequency bands with signal frequency spectrums; and 3), training and identifying flow type samples composed of defined characteristic parameters by using a probabilistic neural network, wherein learning samples are characteristic vectors of information entropy of a small wave packet after normalization according to a relationship between a probabilistic neural network structure and the learning samples, determining the structure of the probabilistic neural network for flow type identification as well as carrying out relative set on the network and learning training, and identifying the samples with different flow types by using the probabilistic neural network. The method has high veracity, good applicability and high reliability, and can effectively meet on-line identification requirements.

Embodiments of the present application provide audio data classification methods, training methods and devices, media, and computer equipment. Wherein the method includes: determining the text feature data corresponding to the audio data; determining the weight of each feature in the text feature data based on the audio data, and using the weight of each feature to weight the text feature data to obtain weighted Text feature data; classifying the audio data in combination with the weighted text feature data. The technical solutions in the embodiments of the present application can improve the accuracy of audio data classification.

The embodiment of the invention discloses a method and a device for generating a cartoonlike figure image. The method for generating the cartoon figure image comprises the following steps: a figure image is acquired; a facial feature point set is obtained by processing the acquired figure image; a facial component cartoon template is selected according to the shape of the facial feature point set; the cartoonlike figure image is generated by assembling the chosen facial component cartoon template according to the relative position of the facial feature point set; the facial feature point set comprises a facial organ feature point set and / or a facial outline point set; and the facial component cartoon template comprises a facial organ template and / or a facial shape template. As the technical scheme provided by the invention makes full use of facial feature information in the figure image, the generated cartoonlike image can better reflect facial features of the figure. Moreover, the invention can effectively avoid facial position disproportion and facial feature disproportion.

The invention discloses an electroencephalogram relaxing degree identifying method and an electroencephalogram relaxing degree identifying device based on multi-space signal characteristics. The electroencephalogram relaxing degree identifying method comprises the following steps: extracting signal waves from electroencephalogram sequence signals to be processed; acquiring the sampling point number of the signal waves and the points with the amplitudes being smaller than the amplitude threshold value in each second and with the maximal amplitude absolute values, calculating the average value of the amplitudes, calculating the probability density of the amplitude according to the sampling point number and the average value of the amplitudes, thus obtaining the characteristic quantity in the time domain space; calculating the phase space distribution density of the signal waves, thus obtaining the characteristic quantity in the phase space; calculating the energy of the signal waves, calculating the center frequency of each signal wave according to the energy and the frequency range of each brain wave, thus obtaining the characteristic quantity in the frequency domain space; and carrying out classified identification according to the characteristic quantity in the time domain space, the characteristic quantity in the phase space and the characteristic quantity in the frequency domain space, thus obtaining the electroencephalogram relaxing degree. With the method and the device, the characteristics in different spaces of the each brain wave can be comprehensively extracted, and thus the accurate identification for the electroencephalogram relaxing degree can be realized.

The invention discloses an annular PN junction. The annular PN junction adopts a step PN junction; a round step surface sunken part is formed in the center position of the PN junction surface, and a step structure is formed by the round step surface sunken part and the periphery; the annular PN junction is embedded in the upper surface of a substrate, and the bottom part of the annular PN junction and the upper surface of the substrate are positioned in the same flat surface; an oxidation layer is grown on the edge of the upper surface of the substrate, and the oxidation layer covers the annular PN junction; an aluminum layer is arranged above the bottom part of the annular PN junction, and the aluminum layer covers the edge of the oxidation layer. A constant-current diode applying the structure of the annular PN junction has a constant-current characteristic, and the breakdown voltage of the constant-current diode breaks through that of existing products by more than twice.