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

A method and structure for predicting traffic on a network, includes a receiver which receives data related to traffic on at least a portion of a network. A calculator calculates a traffic prediction 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 provides a portable hydraulic oil particle and moisture detection device, characterized in that: the device comprises a bidirectional plunger pump (8), an automatic particle counting sensor (10), and a moisture sensor (12) connected with an oil outlet pipe, and the bidirectional plunger pump (8), the automatic particle counting sensor (10) and the moisture sensor (12) are successively connected through high pressure flexible pipes; the device is provided with an embedded microprocessing system (11), the embedded microprocessing system (11) is connected with the moisture sensor (12), a display screen and a printer through data lines; a motor-driven electric device (9) controls the bidirectional plunger pump (8) to work. The portable hydraulic oil particle and moisture detection device overcomes the problem that a hydraulic oil detector only can detect particle or moisture, combines off-line and one-line application together, can be directly accessed in a hydraulic system to realize the simultaneous detection of hydraulic oil particle and moisture, and has the advantages of convenient operation, high precision, lasting stability, and the like.

The invention relates to a calculation method of the sub-synchronous oscillation mode attenuation coefficients based on Prony algorithm, and mainly aims at solving the problem in extracting key modal parameters as modal frequency and attenuation coefficients from sub-synchronous signals. The calculation method is based on the Prony algorithm, takes shafting rotating speed signal of high sensitivity as input signals, employs least square fit, greatly eliminates influence of noise signals, requires no filtering, reserves all data information, is capable of extracting multiple modal information, and thus, extracts attenuation coefficients of different modes accurately and rapidly.

The invention discloses a high-speed paper counter based on image sensor. The paper counter comprises a photoelectric integration module, a data transmission module, a data processing module, a man-machine interface and a power supply module, which match and are connected with each other. The photoelectric integration module comprises a linear image sensor; the data processing module comprises an A/D conversion chip capable of receiving the image information sent by the linear image senor and converting original image information into digital information; the data processing module comprises a universal programmable input output port capable of carrying out data exchange with the A/D conversion chip and the data processing module is connected with the man-machine interface through a transmission line; the power supply module is electrically connected with the photoelectric integration module, the data transmission module, the data processing module and the man-machine interface. The counter does not comprise any part concerning mechanical action and the counting process consequently does not comprise any mechanical action with convenient operation. The counter is applicable to counting paper with a thickness from 0.05mm to 10mm and the softness degree of a counting object does not affect the counting speed and accuracy of the counter.

The present invention discloses a non-destructive detection method for the martensite change amount in an austenite stainless steel, wherein the phase change products of the austenite stainless steel are paramagnetic epsilon-martensite and ferromagnetic alpha'-martensite, and based on the austenite stainless steel material with the deformation amount of less than 15%, the detection method specifically comprises that the ferromagnetic alpha'-martensite content in the austenite stainless steel is measured through a ferrite meter and the value is recorded as x, and the martensite change amount in the austenite stainless steel is obtained through the following function relation formula f(x)=1.67x+1.48, wherein the f(x) is the martensite change amount and includes the total content of the epsilon-martensite and the alpha'-martensite, and x is the alpha'-martensite content measured through the ferrite meter. With the method of the present invention, the value of the martensite change amount in the austenite stainless steel can be accurately and rapidly calculated in the practical application, such that the measurement time and the measurement cost of the enterprise are saved, and the foundation is established for the application of the austenite stainless steel material in the low temperature environment.

The invention discloses a novel rapid bidirectional reflection distribution function testing system and method. An optical aperture is formed in the top of a hemispherical testing darkroom; a testinglight source is arranged just above the optical aperture; multiple photoelectric detectors are tightly arranged on the inner spherical surface of the hemispherical testing darkroom; all the photoelectric detectors are connected with a signal processing system; a four-dimensional working turntable is arranged in the hemispherical testing darkroom; a to-be-tested sample is arranged on the four-dimensional working turntable by virtue of a sample supporting component; the four-dimensional working turntable drives the horizontal plane and the vertical plane of the to-be-tested sample to rotate; after light beams of the testing light source come into the to-be-tested sample via the optical aperture after collimation; incident light are scattered via the to-be-tested sample, the scattered light signal is received by the photoelectric detectors, the photoelectric detectors output signals to the signal processing system to process so as to obtain the bidirectional reflection distribution function of the to-be-tested sample. According to the system and method disclosed by the invention, rapid measurement of the bidirectional reflection distribution function of the sample in a 2Pi hemispherical space range can be realized, and the measurement accuracy is high.

The invention discloses an energy consumption metering method and device and an electric appliance. The energy consumption metering method comprises the following steps of acquiring working data of aunit, judging whether the working data contains electric meter electric quantity data or not, if not, inputting operation data in the working data into a preset energy consumption metering model to obtain a power consumption calculation value, and taking the power consumption calculation value as actual power consumption, and if so, correcting the preset energy consumption metering model accordingto the operation data in the working data and the electric meter electric quantity data by taking the electric meter electric quantity data as actual power consumption. According to the method, the energy consumption metering model is continuously corrected and optimized in the operation process of the electric appliance, and the actual power consumption of the electric appliance is accurately and quickly metered.

The invention belongs to the field of gene expression profile classification, discloses a gene expression profile distance measurement method based on deep learning, and belongs to mining and application of deep learning on biological big data. Firstly, a convolutional neural network model suitable for gene characteristic metric learning is designed to extract data characteristics, then the distance between the data is calculated by applying an improved cosine distance, and finally, the good performance of the method is measured through the classification effect of a classification algorithm.According to the method, the similarity between different gene expression profiles can be quickly and efficiently measured, and data is provided for subsequent researches such as gene classification,clustering, differential expression analysis and compound screening. Compared with a traditional gene enrichment method, the method has the advantages that the distance measurement effect between thedata is obviously improved, the manual intervention during gene expression profile analysis can be effectively reduced, the overfitting phenomenon easily generated by a conventional deep network is avoided, and the method has relatively high mobility.

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.