33results about How to "Accurate and fast calculation" patented technology

The invention provides a dynamic light modulation display control method and device of a backlight source. The method comprises that backlight statistical values of different backlight areas are determined according to the grayscale of an image to be displayed; segmental displacement is carried out according to the backlight statistical values to determine backlight set values; a backlight sourcediffusion and transmission parameter of a backlight module is obtained; according to the backlight source diffusion and transmission parameter and the backlight set values of the different backlight areas, the equivalent backlight brightness of each pixel point is calculated; a corresponding compensation image is calculated according to the equivalent backlight brightness of the different pixel points; and the backlight module is controlled to lighten the backlight source according to the backlight set values, and a liquid crystal panel is controlled to display images according to compensationimages. Thus, the backlight brightness is adjusted properly, the equivalent backlight of each pixel point is calculated accurately, the corresponding LCD compensation image is obtained, and a displayeffect the same with or even better than full backlight display can be realized.

The invention provides a method for identification of traffic lane boundary. Firstly the microwave signal is received, and the noise reduction is treated for the microwave signal. Then the frequency domain information is employed to calculate the legal set of closed interval, in order to form the frequency span information. Finally, the probability density function model is employed to calculate the frequency span information in order to identify the traffic lane boundary.

A method and apparatus for predicting traffic on a transportation network where real time data points are missing. In one embodiment, the missing data is estimated using a calibration model comprised of historical data that can be periodically updated, from select links constituting a relationship vector. The missing data can be estimated off-line whereafter it can be used to predict traffic for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network. The invention further discloses a method for in-vehicle navigation; and a method for traffic prediction for a single lane.

A method for acquiring backlight diffusion transmission parameter, a display control method and a display control device are provided. The method includes: selecting a plurality of backlight sources respectively arranged at different backlight regions of a display device and measuring a light diffusion data for each of the plurality of backlight sources, where the light diffusion data includes luminance values of a plurality of pixel points of a screen of the display device and a distance between a position of each pixel point and a position of a certain backlight source of the plurality of backlight sources in the case that only the certain backlight source is turned on; preprocessing the light diffusion data to determine effective pixel points of the plurality of pixel points; fitting the light diffusion data of the effective pixel points, to obtain a point spread function y=ƒ(x) indicating a relationship between y representing a diffusion luminance value and x representing a diffusion distance, where y representing a diffusion luminance value is a luminance value of each pixel point, and x representing a diffusion distance is a distance between a position of the each pixel point and a position of a certain backlight source of the plurality of backlight sources; and determining the point spread function y=ƒ(x) as the backlight diffusion transmission parameter.

The invention belongs to the field of gene expression spectrum classification, discloses a gene expression spectrum distance measurement method based on deep learning, and belongs to the mining and application of deep learning on biological big data. First, a convolutional neural network model suitable for gene feature metric learning is designed to extract the characteristics of the data, and then the distance between the data is calculated by using the improved cosine distance, and finally the classification effect of the classification algorithm is used to measure the performance of the method excellent. This method can quickly and efficiently measure the similarity between different gene expression profiles, and provide data for subsequent studies such as gene classification, clustering, differential expression analysis, and compound screening. Compared with the traditional gene enrichment method, this method significantly improves the distance measurement effect between data, and can effectively reduce the manual intervention in gene expression profile analysis, avoiding the over-fitting phenomenon that is easy to occur in conventional deep networks. This method has strong transferability.

The invention relates to a device and method for the compressor preheating control. Specifically speaking, the invention detect the internal temperature of the compressor without the detecting unit for the special monitoring compressor internal temperature; the invention adjusts the compressor coil and the heating time according to the detected internal temperature of the compressor; so that the electric engine stator coil installed in the compressor uses the lost heat after connecting the current. The tri-phase inverter compressor preheating device provided by the invention comprises a current instruction potion for periodically changing the instruction current according to the predetermined instruction current pattern; a current control potion for generating the instruction voltage fro tracking the instruction current; a main control potion for calculating the internal temperature of the compressor according to the instruction current of at least two phases and the instruction voltage after sampling the instruction current and the instruction voltage, and controlling preheating according to the calculating temperature.

The invention discloses an energy consumption measurement method, a device and an electrical appliance. The energy consumption measurement method comprises the following steps: collecting the working data of the unit; judging whether the working data contains the electricity meter electricity data; if not, inputting the operation data in the working data into a preset The calculated value of power consumption is obtained from the energy consumption metering model, and the calculated value of power consumption is used as the actual power consumption; Preset energy metering models. The present invention continuously corrects and optimizes the energy consumption metering model during the operation of the electrical appliance, so as to achieve accurate and fast metering of the actual power consumption of the electrical appliance.

The invention discloses a method for determining the volume and joint number of jointed rock mass based on drilling camera technology, which is applied to the technical field of rock mass integrity assessment and includes the following steps: S1. Selecting a surface area per unit area on the surface of the rock mass to be tested ; S2, measure the rock mass surface joint number Js of the surface area of ​​the unit area, the joint spacing H and the inclination angle θ of the joint and the horizontal roadway; S3, drill holes on the surface area of ​​the unit area, and measure the number of joints inside the rock mass Jc; S4. Comparing the joint spacing H measured in step S2 with the sine and cosine values ​​of the joint inclination angle θ to determine the volumetric joint number Jv of the rock mass. The present invention comprehensively considers the internal joint Jc and the surface joint Js to calculate the volume joint Jv, the consideration factors are more comprehensive, and the calculation is more accurate and fast.

The present invention provides an over-drive value generating apparatus, which includes: a measuring module utilized to measure a plurality of brightness values shown by using a plurality of first-eye gray scales in every n scales and a plurality of second-eye gray scales in every n scales; an interpolation module utilized to linearly interpolate the brightness values into N×N brightness values which consist of N first-eye gray scales respectively corresponding to N second-eye gray scales; a calculating module utilized to calculate N×N crosstalk values of the N first-eye gray scales respectively switching to the N second-eye gray scales; and a determining module utilized to determine a first over-drive gray scale and a second over-drive gray scale. The present invention further provides a method for generating over-drive values.

The invention discloses a method for identifying a home station. The method comprises: obtaining the real data of the home station of the first subway PSAM card and the first PSAM transaction data having a matching relationship within a first period of time; using the real data of the home station of the first subway PSAM card Create a characteristic user table with the first PSAM transaction data; obtain the second PSAM transaction data in the second period and divide the second PSAM transaction data to obtain each transaction flow data; use the characteristic user table to vote on the transaction flow data, Obtain the attribution site data of the PSAM card of the second subway that matches each transaction flow data. The method can accurately and quickly calculate the PSAM card attribution site. The invention also discloses a home site identification device, equipment and a readable storage medium, which have corresponding technical effects.