165results about How to "Avoid manual adjustments" patented technology

This invention discloses one method and device based on environment noise test and volume adjusting, which comprises the following steps: presetting play volume zone or value range; storing play audio wave data and collected outer audio wave data; comparing the data and then comparing the result with preset play volume zone value range; adjusting the volume according to compare result.

The invention provides a method and equipment for controlling the hardware operating state of an intelligent terminal. The method comprises the steps that (A), an application program operating in a foreground is detected; (B), hardware state configuration information corresponding to the detected application program is obtained, and the hardware state configuration information indicates the preset hardware operating state of the intelligent terminal; (C), the preset hardware operating state of the intelligent terminal is controlled according to the obtained hardware state configuration information. According to the scheme, the power consumption of the intelligent terminal can be effectively reduced.

The invention provides electronic equipment and a display method, wherein the electronic equipment comprises at least one display unit used for displaying an image; a first determining unit used for determining a target object in the image and determining a spatial display region of the target object; at least one image collecting unit used for collecting eye images of a user; a second determining unit used for determining a first visible region of the user according to the eye images; a judging unit used for judging whether the spatial display region of the target object and the first visible region meet a first predetermined relation; and an adjusting unit used for adjusting the spatial position of the target object if the spatial display region of the target object and the first visible region do not meet the first predetermined relation, so that the spatial display region of the target object and the first visible region are enabled to meet a second predetermined relation. The electronic equipment of the invention can automatically adjust the displayed target object to the visible region of the user.

The invention provides a photographing method and a photographing device and relates to the technical field of photographing. The method comprises the steps of determining a composition template; obtaining a target object in a preview image; photographing the preview image to obtain an original image after a photographing object in the preview image; adjusting the original image according a presetcomposition policy for the target object in the composition template when the target object satisfies a preset condition; and taking the adjusted original image as a target image. According to the embodiment of the invention, the original image is adjusted according to the composition policy for the target object in the composition template, the adjusted target object and original image satisfy acertain aesthetic rule, and the adjusted original image is taken as the target image, so the target image also satisfies the certain aesthetic rule. The target image satisfying the certain aestheticrule can be photographed rapidly and accurately, and a user does not need to manually adjust the preview image.

The invention relates to a remote sensing image matching method and device, and belongs to the technical field of remote sensing image data processing. According to the method, firstly, an improved VGG16 model is adopted to carry out feature extraction, so that extracted feature points have enough abstraction and relatively high positioning precision; then key point screening is carried out on theextracted feature maps to avoid interference of the feature maps with unremarkable features, so that the matching accuracy is improved, and the data processing efficiency is also improved; meanwhile,a dynamic adaptive distance method is adopted to screen to-be-screened matching pairs, automatic configuration is carried out according to data characteristics, high-quality matching pairs can be screened out, and the matching performance of the heterologous remote sensing image is improved. A plurality of groups of different-source remote sensing images are used for testing the method, results show that the method has high adaptability and robustness, the remote sensing image matching method and device are superior to a DELF algorithm in the aspects of adaptability, the number of matching points, distribution, efficiency and the like, and the robust matching performance of the different-source remote sensing images and the remote sensing images with large differences is improved.

The invention relates to a three-dimensional cellular automaton based lightweight model and optimizing method, comprising operation steps: firstly, performing space dividing on an input network model with an octree, then according to design demands, establishing neighborhood information based cellular evolution, then, defining the relation that a neighborhood information based cellular automaton combines with FEA feedback information based finite element analysis, establishing FEA analysis feedback evolution, and generating a lightweight structure based on two evolution rules. A feedback based optimizing strategy is established, simulated information can be fed back to a design flow, and a drive structure is optimized to change macro attributes of a design target. Finally, the generated lightweight model is subjected to surface recreating and related parameters verifying, and an experiment proves that the invention is very suitable for establishing a 3D (three-dimensional) printing lightweight model.

The invention discloses a federated learning method and devicebased on evolutionary computation, equipment and a readable storage medium. The method comprises the following steps of: determining hyper-parameters of a first group corresponding to the first equipment in a hyper-parameter set, whereinthe equipment in the first group performs federated learning based on the hyper-parameters of the first group; obtaining a first sub-target model corresponding to the first group, receiving performance indexes of a second sub-target model sent by a plurality of pieces of second equipment, performingiterative evolution calculation based on the performance indexes of the first sub-target model, the performance indexes of the plurality of second sub-target models and the hyper-parameter set, wherein the first equipment and the plurality of second equipment determine respective initial model parameters based on the target hyper-parameters, and the first equipment and the plurality of second equipment perform federated learning based on the respective initial model parameters to obtain a target model. The performance of the federated learning model is remarkably improved while the hyper-parameter optimization efficiency in federated learning is improved.

The invention discloses a high-spectral image sharpening method based on probability matrix decomposition, and belongs to the field of remote sensing image processing. The method is characterized in that the method comprises the steps: carrying out the preprocessing of two inputted images based on the hypothesis that a pixel spectrum vector of a high-resolution high-spectral image is just formed by the linear superposition of a few of vectors with the hidden spectrum features according to one low-resolution high-spectral image and one high-resolution high-spectral image and the frequency response matrix, decomposition matrix dimensions and algorithm iteration number, corresponding to the high-spectral images, of a multispectral camera, wherein the low-resolution high-spectral image and the high-resolution high-spectral image are taken at the same height in the same target region at the same time; listing mathematical equations of the two processed images and a to-be-solved high-resolution high-spectral image, and building a Bayesian model; calculating the posteriori probability distribution of the decomposition matrix, and obtaining a matrix with the hidden spectrum features in the decomposition matrix, and solving the mean value of linear superposition vectors corresponding to the two images after preprocessing, thereby obtaining the to-be-solved high-resolution high-spectral image. The method greatly reduces the time consumption of calculation while improving the sharpening precision, and is easy to adjust.

The invention provides a vehicle sun visor intelligent adjustment system and method based on a front-view camera, and belongs to the technical field of vehicle sun visor adjustment. The vehicle sun visor intelligent adjustment system based on the front-view camera includes a sun visor, a clock, a GPS sensor, a first processing unit, a power unit, and a first control unit. The first processing unitobtains the real-time position of the sun in the sky according to the real-time time information and the real-time position information of the vehicle, obtains the sunlight real-time illuminating angle of the sunlight relative to the windshield of the vehicle according to the real-time position of the sun and the real-time position information of the vehicle, and calculates a sunlight-shielding preset position according to the real-time sunlight illuminating angle. The first control unit receives the preset sun visor angle information of the first processing unit and instructs the power unitto adjust the sun visor so that the sun visor moves to the sunlight-shielding preset position. The system and method achieves automatic operation and improve the efficiency of adjustment.

The invention discloses a double-probe same-point measurement scanning probe microscopy which uses an XY or XYZ piezoelectric scanner, and an XY or XYZ piezoelectric scanner which has an enhanced X location range or is additionally provided with XY inertia stepping to deliver a sample measuring point from a first probe to vicinity of a second probe, and realize re-measurement of the second probe to a first probe measurement point by looking for marks. Two independent Z-shaped localizers are used for adjusting the distance between the two probes and the sample, which causes each probe to not interfere the measurement of the other probe. Compared with the same-point measurement technologies of the existing mobile probes, the design is not provided with a degree of long-range freedom, the distance between the two probes is allowed to be longer, and different probes are also allowable, therefore, the control and the fabrication are greatly simplified, and given data are more comprehensive, reliable, significance is wider and deeper, and the scanning probe microscopy is especially suitable for the studies of phase change, reaction kinetics and interdiscipline.

The embodiment of the invention provides a voice output method for a mobile terminal and the mobile terminal. The method comprises the steps of receiving a voice signal when it is detected that the mobile terminal carries out a voice call; measuring spatial location information of the mobile terminal; searching a first target audio parameter corresponding to the spatial location information; and adjusting the voice signal according to the first target audio parameter. In this way, according to the embodiment of the method and the mobile terminal, when it is detected that the mobile terminal carries out the voice call, the voice signal is received; the fitting first target audio parameter is searched through the spatial location information of the mobile terminal; the voice signal is output according to the first target audio parameter; the voice call is carried out by adapting to the operation habit of a user in real time; therefore, the playing effect of the voice signal is improved; moreover, the output of the voice signal is adjusted automatically; the manual adjustment operation of the user is avoided; and the operation simplicity is improved.

The invention discloses a photographing processing method and device, a terminal and a storage medium, and belongs to the field of image processing. The method comprises the following steps of acquiring a target image containing a facial image, and sending the target image to a server; receiving target shooting information sent by the server; and sending a prompt signal according to the target shooting information. The terminal sends target image containing the facial image to the server, the server determines a target facial form corresponding to the facial image and feeds the target shootinginformation corresponding to the target facial form back to the terminal, and the terminal prompts a user; the terminal can prompt the user to shoot angle information, so that non-directional manualadjustment of a selfie angle of the user is avoided, and thus the selfie efficiency of the user is improved.

The invention discloses a balanced display method for a flat-plate X-ray image. The method includes the following steps of firstly, inputting an original image, segmenting the original image into a plurality of regions according to the differences of pixel point grey values so as to generate a mask image; secondly, reading in the original image and the mask image, sequentially conducting noise estimation, gain estimation and local contrast ratio estimation, and synthesizing the estimation results into algorithm parameters; thirdly, conducting Laplacian pyramid decomposition on the original image to obtain a residual error image, sequentially conducting gamma conversion and histogram conversion on the residual error image according to the algorithm parameters obtained in the second step, and then conducting Laplacian pyramid composition to generate an intermediate image; fourthly, constructing an adjustment curve, mapping the intermediate image into a result image according to the adjustment curve, calculating the optimized window width value and the optimized window position value, and displaying the result image on a display. By means of the balanced display method, target characteristics, at different scales, in the image can be effectively enhanced, and automatic optimal balanced display is achieved for the image.

The present invention discloses a display device and a method. The device comprises an application layer, a service layer and a driving layer. The application layer is used for managing the relationship between the application of a mobile terminal and the display color space of the application. The service layer comprises a color management service module configured to determine the current display color space according to the current management mode. The driving layer comprises a display module used for receiving the instruction of the color management service module. After receiving the instruction of the color management service module, the display module is driven to display the current content according to the determined type of the current display color space. The invention also discloses a display method. According to the technical scheme of the invention, users are prevented from manually adjusting the color space when display contents are diversified. Therefore, the user experience of the mobile terminal is improved.

The invention discloses a processing method of touch response and an electronic terminal, the processing method of touch response is applied to the electronic terminal, and the electronic terminal comprises a touch sensing device. When an operation body carries out a first input operation on the electronic terminal, a first touching area of the first input operation is obtained through the touch sensing device, and a response point of the first touching area is determined as a first point of the touch sensing device according to a first response strategy. The processing method of touch response comprises the following steps: obtaining an adjustment order; responding the adjustment order; adjusting the first response strategy and generating a second response strategy; obtaining a second touching area of a second input operation through the touch sensing device when the operation body carries out the second input operation on the electronic terminal; and determining a response point of the second touch area as a second point of the touch sensing device according to the second response strategy, the first input operation is the same as the second input operation, and the first point is different from the second point.

The invention discloses an automatic production line for a concrete pipe pile. The automatic production line comprises a bottom frame, a vertical rod is fixedly connected to the left side of the top of the bottom frame, and a transmission assembly is arranged at the top of the bottom frame. According to the automatic production line for the concrete pipe pile, a grooved wheel and a belt are connected in a rotating mode, a curved frame pushes a supporting groove to enable a first round roller to abut against a pipe pile mold, so that the automatic transmission effect on the pipe pile mold can be achieved, then integrated machining is facilitated, axial rotary adjustment can be carried out on the pipe pile mold, and then the use convenience and practicability are improved; and racks are connected in a meshing mode, a flow dividing box and a bracket are correspondingly arranged, so that the flow dividing box can drive a spray head to swing in the axial direction in a reciprocating mode, then release agent spraying or water washing can be carried out on the pipe pile mold according to use requirements during transmission of the pipe pile mold, in addition, the spraying uniformity is better, omission is avoided, then the cleanliness of the pipe pile mold is improved, the demolding effect is better, and then the pipe pile quality is improved.

The invention provides a virtual necklace try-on method and device, electronic equipment and a storage medium, and relates to the technical field of virtual try-on. The method comprises the steps of obtaining posture information of a user in a to-be-detected image, and cutting and obtaining a neck area image of the to-be-detected image according to the posture information of the user; adopting a preset deep learning model to obtain position information of each chain feature point in the neck region image; mapping the position information of each chain feature point in the neck region image into a to-be-detected image. Therefore, the position information of each chain feature point in the to-be-detected image can be acquired, and the try-on position of the necklace in the to-be-detected image can be dynamically adjusted according to the position information, so that a user does not need to manually adjust the position of the necklace, and the try-on of the user is facilitated.

The invention discloses an intelligent electric meter chip image binarization processing method based on an adaptive mixed threshold. The method comprises the following steps: S1, preprocessing an original image to obtain a grayscale image; s2, calculating a global threshold Tg according to the gray value of the whole gray image; s3, calculating a stroke width corresponding to each pixel point inthe grayscale image, adaptively calculating a window width corresponding to each pixel, and calculating a local threshold Tw of each pixel according to a pixel value in each window; s4, combining theglobal threshold Tg and the local threshold Tw to calculate a mixed threshold T; and S5, performing binarization operation on the grayscale image according to the mixed threshold T to obtain a binarized image. Compared with the prior art, the processing method provided by the invention improves the traditional local threshold method for the problem of non-uniform brightness of the chip image of the intelligent electric meter, and performs weighted addition on the global threshold and the local threshold, thereby solving the problem that the local threshold algorithm does not consider the overall effect of the image.

The invention provides an equipment control method, an equipment control device and equipment. The method comprises the following steps of determining that the condition of opening a VR (Virtual Reality) work mode is met, wherein the VR work mode is a predefined work mode for regulating a specified influence factor into a non-influence factor, and the specified influence factor is a factor influencing the operation of intelligent equipment and VR equipment; switching the work mode of the intelligent equipment into the VR work mode; and regulating the specified influence factor into the non-influence factor in the VR work mode. The equipment control method, the equipment control device and the equipment have the advantages that in the VR work mode, the specified influence factor can be regulated to the non-influence factor, so that the influence of the influence factor on the operation of the intelligent equipment and the VR equipment can be avoided; and the immersion of a user is improved.

The invention relates to a frictionless inertia step scanner, which is characterized in that an expander pulls a sheet to a base, one end of a XYZ piezoelectric scanning tube is fixed on the base while another end supports the sheet and generates pressure. When in use, the invention adds a Z extension signal and a slow XY signal, quickly evacuates the two signals to process the XY evacuation in the Z retraction and use the Z-axis inertia force of the sheet to eliminate the XY-axis friction force, repeats and generates XY-axis step without friction interference. The invention has high large-scale step positioning precision and small-scale scanning and positioning functions, which leads in two independent Z-axis positioning devices to adjust the distance between two probes and sample, uses frictionless inertia step scanning device to accurately feed the test point of the first probe on the sample into the scanning range of the second probe, to realize one-point scanning dual-probe microscope, with complete, reliable and effective data.

The embodiment of the invention relates to a lighting effect handling method and device as well as a terminal and a computer readable storage medium. The method comprises the following steps: acquiring a weather state of a shot environment where a to-be-processed image is located; according to a preset mapping relation between the weather state and lighting effect, determining a lighting effect handling model of the to-be-processed image; and according to the determined lighting effect handling model, performing lighting effect handling on the to-be-processed image. By virtue of the method, lighting effect of an image can be automatically adjusted according to different weather states of a shot scene, and lighting effect parameters are avoided from being frequently and manually adjusted, so that a lighting effect handling way is simpler and more convenient, and the lighting effect of the processed image is more vivid.