34results about How to "Smoothing" patented technology

A method for smoothing the laundry wrinkled during a washing process in the washing machine is disclosed. When a command signal for smoothing wrinkles of the laundry in the washing machine is inputted, water supplied in the washing machine is heated to generate steam and then the generated steam is injected to the laundry in the washing machine while rotating a drum of the washing machine. Thus, wrinkles of the laundry can be smoothed in the washing machine without causing a trouble of ironing.

This invention discloses a method and a device for calibrating channel quality instructions and dispacthing user data, the principle is that when a base station down high speed packet accesses the dispatched user data, it calibrates the channel quality instruction fed back by the user device then determines the transmission format of the data corresponding to the calibrated channel quality instruction and finally dispatches the user data to transmit them based on said determined transmission format, which carries out adaptive calibration to the channel quality instructions fed back by a user device to guarantee that the initial transmission BER, the statistic BER or residual BER will get the designed target value so as to fully utilize the gain brought with the adaptive modulation code and mixed automatic re-transmission requirement technology accessed by the down high speed packet.

This invention discloses one method and system to reduce transmission band width, wherein the system comprises sort property generation module, sort property mapping module and transmission control module; the invention method comprises the following steps: setting data sort strategy, data property and relative transmission strategy; generating each type of transmission agreement package according to sort strategy; determining each sort of transmission agreement property values according to each data property; transmitting and adjusting each kind of transmission package relative to different transmission strategy and transmission package property values.

The invention discloses a control system and method for automatically adjusting voice frequency setting according to an external environment. The control system comprises an external noise sampling module, a noise analyzing module and a voice frequency control module. The external noise sampling module is used for acquiring the noise of the external environment and sending the sampled external environment noise to the noise analyzing module. The noise analyzing module is used for receiving the external environment noise sampled by the external noise sampling module, judging the level of the noise and sending the level of the noise to the voice frequency control module. The voice frequency control module is used for receiving noise level information sent by the noise analyzing module and controlling the volume of voice frequency according to the level of the noise. According to the control system and method, the related voice frequency function and application of a mobile phone is automatically adjusted by detecting the sound of the external environment, a user can smoothly process content related to the sound when using the mobile phone in a mobile environment, and user-friendly and convenient service is provided.

The invention relates to a method and device for automatically switching a digital audio broadcasting (DAB) signal and a frequency modulation (FM) signal. The method comprises the following steps of: decoding the DAB signal and the FM signal and caching; acquiring the time difference between a DAB decoded signal and a decoded FM signal according to the power of the decoded FM signal, the power ofthe DAB decoded signal and signal quality information; and selecting the DAB decoded signal or the decoded FM signal serving as a switching signal according to the signal quality information and the time difference, or mixing the DAB decoded signal with the decoded FM signal to obtain a switching signal. According to the method and the device, time different is calculated by using power for acquiring corresponding DAB signal and FM signal, and automatic switching is performed; moreover, smoothing is performed to make sound continuous in the process.

The invention discloses a three-dimensional scattered point cloud smoothing denoising method of anisotropic diffusion filtering. A tensor matrix structure tensor matrix is obtained by tensor voting ona sampling point and effective neighboring points thereof, eigenvalues and eigenvectors are solved, according to the eigenvalues and eigenvectors of the structure tensor matrix, local characteristicsof the sampling point are analyzed, the eigenvalues of a diffusion tensor matrix are designed according to different geometric feature information of the sampling point, diffusion rates are designedaccording to the different geometric feature information so that the diffusion rates in different principal feature directions are different, a modified diffusion tensor matrix is reconstructed, finally, the reconstructed diffusion tensor is substituted into a three-dimensional diffusion anisotropic filtering equation for differential solution, and after a certain number of iterations, a filteringfactor is obtained for smoothing noise. The method can effectively remove noise of the scattered point cloud and maintain feature information of an original model at the same time, thereby avoiding excessive smoothing and local distortion.

The invention discloses an eye fundus image based three-dimensional model building method for a retinal vessel. According to the method, a skeleton image and a vessel edge image of the retinal vessel are obtained respectively, then a vessel radius corresponding to each central point on a skeleton is calculated according to the skeleton image and the vessel edge image, then balls are drawn with the central points as ball centers and the vessel radiuses as the radiuses, union is solved, and a three-dimensional module of the retinal vessel is obtained. In order to ensure that a three-dimensional model is closer to a real vessel, the vessel radius obtained through calculation is optimized, that is, the three-dimensional model is built according to the optimized vessel radius. Correspondingly, the invention further provides an eye fundus image based three-dimensional model building device for the retinal vessel.

The embodiment of the invention discloses a method for realizing stable display of a 5G signal. The method comprises the following steps: switching a main node by a dual-connection network, releasinga secondary cell group bearer, starting a first timer, and displaying the 5G signal; judging that the first timer is overtime, detecting that radio resource control is in an idle state, starting a second timer, and displaying a 5G signal; judging that the second timer is overtime, detecting that the radio resource control is in a connected state, querying the number of data radio bearers, and displaying a signal type according to the number; and detecting that the radio resource control is in an idle state, querying a 5G cell information database, and displaying a signal type according to the5G cell information. According to the scheme, the time of the timers can be flexibly adjusted, and the signal icons can be updated more efficiently and timely by using a plurality of timers; and moreover, by judging the number of the data radio bearers and the 5G cell information, the smoothing processing of the 5G signal is realized in a continuous environment with a continuously changing network, so that a user can better experience 5G.

The invention discloses an ISP color interpolation method and device based on an adaptive Gaussian kernel, and the method comprises the steps: S1, obtaining the original data of a to-be-processed image, and respectively obtaining R, G and B channel pixels after RGB channel separation; s2, traversing each to-be-interpolated pixel point on the G channel, respectively calculating correlation information between each to-be-interpolated pixel point and a neighborhood, and generating an adaptive Gaussian kernel; s3, performing interpolation on each pixel point to be interpolated according to the generated adaptive Gaussian kernel to obtain an interpolated G channel; and S4, respectively interpolating the R channel and the B channel to obtain the interpolated R channel and B channel, and fusing the R channel and B channel to obtain the interpolated RGB data. The method and device can sense the edge region and the non-edge region in the image and reserve the edge information of the image, aresimple in implementation method, are low in calculation complexity, are high in execution efficiency, and are good in color fidelity effect.

The invention provides a voice recognition model training method and device and a voice recognition method and device. The voice recognition model training method comprises the steps: acquiring a voice sample pair; obtaining a first sample vector of the first voice sample and a second sample vector of the second voice sample through a full connection layer of the voice recognition model; calculating a loss value of the speech recognition model according to the similarity between the first sample vector and the second sample vector and the sample pair label; and according to the loss value of the speech recognition model, training the speech recognition model until a training stop condition is met, and obtaining a trained speech recognition model. According to the method, the loss value of the speech recognition model based on the sample pair is introduced, and the loss value enables the speech recognition model to have the capability of accurately extracting the speech content information, so that when the to-be-recognized keywords are newly added, the speech recognition model does not need to be retrained, and only a small amount of standard speech of the keywords needs to be prepared.

The invention discloses a game commodity recommendation method and device, and electronic equipment. The method comprises the steps of obtaining payment feature data of a user; performing logarithm normalization processing on the payment feature data to obtain a feature probability value of the payment feature data; and determining a preference label corresponding to the payment feature data according to an interval section where the feature probability value is located in a preset interval, so as to send corresponding commodity recommendation information to the user according to the preference label.

The invention discloses a method for testing the peel strength of a solid electrolyte membrane, relates to the technical field of new energy lithium secondary batteries, and solves the problem of pooroverall application effect caused by complex operation and low data accuracy of a method for measuring the peel strength of the solid electrolyte membrane. The method comprises the following steps: step 1, respectively adhering adhesive tapes to a composite pole piece coated with a solid electrolyte membrane according to MD and TD directions; step 2, gently removing bubbles between the adhesive tapes and the composite pole piece by hands, and rolling back and forth by using a rubber roller to ensure that the pressure of each sample preparation is stable so as to obtain a sample; step 3, cutting the sample into sample strips with the same width along the outer edges of the adhesive tapes by using an art knife and a steel ruler; and step 4, lightly stripping one ends of the adhesive tapes to separate the solid electrolyte membrane adhered to the adhesive tapes from the composite pole piece, respectively clamping the adhesive tapes and the composite pole piece by using a clamp, and carrying out a peel strength test. The invention is simple to operate, good in repeatability, high in data accuracy and good in stability.

The invention discloses a phase smoothing processing method and device and a computer readable storage medium. The phase smoothing processing method comprises the steps of: acquiring the signal amplitude of a current sampling point in a phase signal; when it is determined that the signal amplitude of the current sampling point is smaller than a preset amplitude threshold, acquiring a difference value between a phase value of the current sampling point and a phase value of a first sampling point; and when the difference between the phase value of the current sampling point and the phase value of the first sampling point is greater than a preset first threshold, updating the phase value of the current sampling point. According to the scheme, the frequency of phase signal hopping can be reduced.

The invention discloses a roll shaft type flattening and troweling device for panel concrete. The roll shaft type flattening and troweling device comprises a truss, and walking devices of the same structure are arranged at the two ends of the truss respectively; the truss can move vertically along the walking devices, and the walking devices can walk along a slope surface; roll shafts are arrangedon the lower portion of the truss and arranged on the truss through brackets; the roll shafts are connected with a speed reducer arranged on the truss. The concrete panel is integrally flattened andtroweled, construction efficiency is high, safety is high, and costs are low.

Coupling elements of a slide fastener or stringer thereof manufactured by cutting and forming a multiplicity of coupling elements from a linear material of copper or a copper alloy and fixing the coupling elements as spaced with a prescribed interval to the longitudinal edge of a fastener tape are immersed in an acidic treating liquid containing hydrogen peroxide, sulfuric acid, phosphoric acid, a surfactant, and an aliphatic alcohol to effect acid treatment thereby smoothing the outer surfaces of the coupling elements. The acid-treated outer surfaces of the coupling elements of the slide fastener or stringer thereof may be further subjected to a rustproofing treatment. The rustproofed outer surfaces of the coupling elements may be further subjected to a clear coating treatment. The acid-treated outer surfaces of the coupling elements may be further plated.

The invention discloses a production line of a steel wire reinforced composite pipe. According to the production process of the composite pipe, the production line sequentially comprises a core pipe extruder, a first cooling box, a first traction machine, a steel wire winding machine, a glue layer extruder, a gluing mold, a first cold air ring, a coating mold, an outer layer extruder, a second cold air ring, a second cooling box, a second traction machine and a cutting machine, wherein the steel wire winding machine is driven by a longitudinal driving device to longitudinally slide. By means of the production line, the steel wire winding machine can longitudinally move in the running direction of the pipe in the production process of the composite pipe, so that even if the traction speed of a core pipe is increased, the relative speed between first and second pay-off assemblies and the core pipe is reduced, and enough reel changing time is ensured.

The invention relates to the technical field of crime line tool trace automatic comparison methods and more specifically relates to a method for accurately positioning and extracting lines in a line tool trace image. The method for accurately positioning and extracting lines in a line tool trace image comprises following steps: S1. inputting a line tool trace image; S2. determining a comparison line; S3. calculating gray level projection of line traces on the comparison line; S4. performing edge second derivative calculation; S5. line area calculating; S6. line optimization and line center position calculating; S7. line extraction. Compared with the prior art, the method for accurately positioning and extracting lines in a line tool trace image is reasonable and efficient. By means of the method, lines in a line tool trace two-dimension image can be quickly and accurately positioned and extracted, which lays foundation for tool trace computer automatic comparison and reduces influence of man-induced factors by artificial comparison.

The invention discloses a quantification dynamic threshold generation method of three strapdown inertial measurement units. The method comprises the following steps: generating trajectory data with an error model through a Monte carlo shooting method according to a design concept of a data window; calculating an average data value of N sample data in sequence by means of recursion with a step length of 1 and using the average data value as a data value of the Mth sample data of new sample data, and generating the new sample data; and calculating occurrence probabilities of the new sample data, and estimating a threshold confidence interval lastly. When a device performs outputting in a pulse form, a threshold can be generated effectively, and smooth processing can be performed on data through stacking of windows, so that the production accuracy is increased, and an algorithm is simple and efficient.