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49results about How to "Shorten data length" patented technology

Radio frequency identification two-way authentication method based on ellipse curve

The invention discloses a radio frequency identification two-way authentication method based on an ellipse curve and aims at mainly solving the problems of limited label storage resources, excessively-high calculation complexity and poor communication security of the existing RFID and a SQL interference module. The radio frequency identification two-way authentication method comprises the steps of (1), sending identity information to a label through a reader; (2), reading a session key kvz in per-stored data according to the identity of the reader through the label, encrypting relative authentication information by using the session key and sending an encryption result to the reader; (3), decrypting the relative authentication information by using a key value K through the reader and sending a random number and the session key to the label; (4), checking accuracy of the random number through the label after receiving information sent by the reader and sending an intermeddle value to the reader; and (5), finishing a final authentication process through the reader by using the intermeddle value. Through the method, the two-way authentication of the label and the reader is realized; calculation amount and occupied resources of the label are reduced; the communication safety is ensured; and the method is better applicable to an RFID (Radio Frequency Identification Device) system with limited resources.
Owner:西安电子科技大学昆山创新研究院 +1

Power system frequency calculation method of windowing spectral line interpolation

The invention provides a power system frequency calculation method of windowing spectral line interpolation. The method includes the following steps that 1, voltage sampling data of ten continuous sampling cycles of a public connection point are obtained through a voltage measurement circuit; 2, time domain windowing function processing is conducted on the voltage sampling data; 3, local discrete Fourier transformation is conducted on the data obtained after windowing, and voltage amplitude values of specific harmonic wave times are obtained; 4, for the calculated specific voltage amplitude values, interpolation is conducted between the two adjacent maximal amplitude values; 5, calculation is conducted through a polynomial curve fitting method, a frequency coefficient is obtained, and thus fundamental wave frequency of a power grid is determined. By means of the method, a blackman window function is applied to N sampling points, local discrete Fourier transformation (DFT) is only conducted on designated harmonic frequency , it is proved through experiments that by means of the method, the spectrum leakage inhibition effect is good, the calculation speed is high, the calculation process is simple, precision is high, universality is high, and the method can be used for high-precision electric energy metering and electric energy quality analysis.
Owner:BEIJING PICOHOOD TECH

Packet loss rate calculation method, server and computer readable storage medium

ActiveCN110505123AReduce transfer volumeAvoid hogging bandwidthError preventionData switching networksTraffic volumeFEC protocol
The embodiment of the invention relates to the technical field of communication, and discloses a packet loss rate calculation method, a server and a computer readable storage medium. In the invention,the packet loss rate calculation method is applied to a first agent end based on a forward error correction (FEC) protocol, and comprises the following steps: determining a maximum serial number, a minimum serial number and the number of received messages in FDP format messages received in a sampling period, wherein the message in the FDP format is sent by the second agent end and comprises a serial number field, and the serial number field comprises serial number information of the message; calculating a first packet loss rate according to the maximum serial number, the minimum serial number, the number of the messages and a preset constraint relationship among the maximum serial number, the minimum serial number, the number of the messages and the packet loss rate, wherein the first packet loss rate is the packet loss rate of the second agent end. In the embodiment of the invention, the packet loss rate can be calculated without sending the detection message, the calculation processof the packet loss rate is simplified, the detection message is prevented from occupying the bandwidth, and the flow consumption is reduced.
Owner:CLOUDMINDS SHANGHAI ROBOTICS CO LTD

Method for realizing integral frequency deviation estimation of receiver

The invention discloses a method for realizing integral frequency deviation estimation of a receiver. The method comprises the following steps of: compensating decimal frequency deviation of a time domain training sequence in a received signal; extracting the time domain training sequence of the received signal according to a set extraction interval; extracting a local training sequence according to the same set interval; transforming the time domain training sequence which is subjected to time extraction into a frequency domain training sequence through FFT (Fast Fourier Transform) according to data length after the time extraction; multiplying the frequency domain training sequence by the extracted shift local training sequence to obtain a frequency domain multiplication result; and transforming the frequency domain multiplication result back to a time domain through IFFT (Inverse Fast Fourier Transform). Each peak value is determined for different shift values; and the shift value corresponding to the maximum peak value is an estimated integral frequency deviation value. By adopting the method, integral frequency deviation estimation can be quickly and accurately realized, and operation and hardware realization complexity in a frequency deviation estimation algorithm can be effectively reduced.
Owner:SHANGHAI HUAHONG INTEGRATED CIRCUIT

Adaptive data reduction method based on piecewise transient recognition

The invention discloses an adaptive data reduction method based on piecewise transient recognition, which comprises the following steps of: A, determining the number of segments and the length of eachsegment of reduced data according to the total data length and the reduced target length; b, establishing proportionality coefficients of a segmentation method and a transient method; c, according tothe proportionality coefficient, adopting a segmentation method for each segment of signals, and obtaining screened data and corresponding timestamps; d, according to the proportionality coefficient,adopting a transient method for each section of signal to obtain screened data and a corresponding timestamp, wherein the step D and C are not sequential; and E, integrating the data obtained by thesegmentation method and the transient method of each section of signal to obtain reduced data. According to the method, the trend information in the signal is extracted by adopting a segmentation method, the mutation information in the signal is extracted by adopting a transient method, and the data length is shortened on the basis that the information of the overall trend in the signal and the information of the key mutation signal are reserved by matching the two modes according to the proportionality coefficient.
Owner:HANGZHOU ANMAISHENG INTELLIGENT TECH CO LTD

Fractional order system identification method based on Legendre wavelet multi-resolution analysis

The invention discloses a fractional order system identification method based on Legendre wavelet multi-resolution analysis. The method comprises the following steps that firstly, Legendre wavelet orders are selected in the interval of [0,1]; secondly, an operation matrix of Legendre wavelet integration is derived by utilizing a block pulse function integral matrix; the input signal and the outputsignal of the system are expanded in the form of Legendre wavelet; the wavelet multi-fraction analysis characteristic is utilized, output signals are continuously decomposed, high-frequency information is discarded, the data length is reduced, and finally, system parameters and orders are solved in a cyclic fractional order integral mode by adopting a least square method and taking an IAE index as a target function. According to the method, the problems that parameter estimation is slow and a noise pollution system cannot be identified due to single dimension, high order and multiple coefficients of a traditional Legendre wavelet integral operation matrix identification method are effectively solved, the system identification speed is increased, and the influence of noise on the identification precision is reduced.
Owner:XIAN TECHNOLOGICAL UNIV
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