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123 results about "Exponential decay" patented technology

A quantity is subject to exponential decay if it decreases at a rate proportional to its current value. Symbolically, this process can be expressed by the following differential equation, where N is the quantity and λ (lambda) is a positive rate called the exponential decay constant: dN/dt=-λN. The solution to this equation (see derivation below) is: N(t)=N₀e⁻λᵗ, where N(t) is the quantity at time t, and N₀ = N(0) is the initial quantity, i.e. the quantity at time t = 0.

Method for determining detection efficiency of internal exposure HPGe detector based on CT data

The invention relates to a method for determining the detection efficiency of an internal exposure HPGe detector based on CT data. Based on different energy gamma ray full-energy peak detection efficiency measuring data, Monte Carlo particle transport numerical values are adopted for computing, so that geometrical parameters of a detector sensitive area are adjusted, and the geometrical parameters of the detector sensitive area are obtained; the Monte Carlo particle transport numerical values are adopted for computing, so that the corresponding differential detection efficiency distribution of different energy gamma rays on the surfaces of the detector in different discrete areas and different discrete angle phase spaces is solved; based on CT medical image data of a human body to be detected, a voxel model of human anatomy structural features and a voxel model of an interesting organ or area are established, and the interesting organ or area serves as a source area; an exponential decay formula is used for solving the direct-through gamma ray share from a source area voxel to a surface element on the surface of the detector, and established differential detection efficiency distribution data are used for obtaining the detector full-energy peak detection efficiency specific to the source area through the multiple integral.
Owner:HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI

Power system fault signal detection and waveform identification method based on optimization algorithm

ActiveCN103675544AAccurate estimateAccurate waveform parameter identification resultsElectrical testingElectric power systemDigital signal
The invention discloses a power system fault signal detection and waveform identification method based on the optimization algorithm. The power system fault signal detection and waveform identification method includes the following steps: firstly, collecting power system signal data through a current transformer, connecting the current transformer with a data collecting card, converting the power system signal data through the data collecting card into digital signals, sending the digital signals to an upper computer, then, estimating fundamental components (including the amplitudes, the frequency and the phases), harmonic components (including the amplitudes, the frequency and the phases of harmonic waves), and exponential decay direct current deviations (including amplitudes and time constants), and a fault initial point with the optimization algorithm on the upper computer, and finally reconstructing power system signals according to the estimated parameters, wherein the optimization objective is that the least square variance error between the reconstructed signals and actually-measured signals is minimum. According to the power system fault signal detection and waveform identification method, the signal parameters under the fault-free condition and the fault condition can be accurately estimated; detection of the fault initial point and recognition on fault signal waveforms are carried out at the same time, and the two tasks can be completed in a sampling window with the long half-circle through the optimization algorithm.
Owner:SOUTH CHINA UNIV OF TECH

Remote sensing sub-pixel map-making method based on integrated pixel level and sub-pixel level spatial correlation characteristics

The invention discloses a remote sensing sub-pixel map-making method based on integrated pixel level and sub-pixel level spatial correlation characteristics. The method includes the steps that firstly, a frequently-used pixel level spatial correlation characteristic description method (a spatial attraction model) is utilized for extracting pixel level spatial correlation characteristics from soft classification information (category proportions) of a neighborhood pixel easily and rapidly without iteration; secondly, a widely-used sub-pixel level spatial correlation characteristic description method (an exponential decay model) is utilized for extracting sub-pixel level spatial correlation characteristics from a sub-pixel map-making iteration result; then, the spatial correlation characteristics of the pixel level and the sub-pixel level are normalized and fused to obtain the integrated spatial correlation characteristic value used for determining the sub-pixel categorical attribute; finally, the optimal spatial layout of the sub-pixel with the largest sum of all the category spatial correlation characteristic values in mixed pixels is obtained according to the integrated spatial correlation characteristic value through a classical binary branching-bounding integer programming algorithm. The remote sensing sub-pixel map-making method is high in calculation speed and simulation precision.
Owner:INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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