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120 results about "Linear growth" patented technology

When an object, organism or group of organisms grows, it increases in size. Linear growth refers to a change in size that proceeds at the same rate over time.

Consistency maintenance device for multi-kernel processor and consistency interaction method

The invention discloses a consistency maintenance device for a multi-kernel processor and a consistency interaction method, mainly solving the technical problem of large directory access delay in a consistency interaction process for processing read-miss and write-miss by a Cache consistency protocol of the traditional multi-kernel processor. According to the invention, all kernels of the multi-kernel processor are divided into a plurality nodes in parallel relation, wherein each node comprises a plurality of kernels. When the read-miss and the write-miss occur, effective data transcription nodes closest to the kernels undergoing the read-miss and the write-miss are directly predicted and accessed according to node predication Cache, and a directory updating step is put off and is not performed until data access is finished, so that directory access delay is completely concealed and the access efficiency is increased; a double-layer directory structure is beneficial to conversion of directory storage expense from exponential increase into linear increase, so that better expandability is achieved; and because the node is taken as a unit for performing coarse-grained predication, the storage expense for information predication is saved compared with that for fine-grained prediction in which the kernel is taken as a unit.
Owner:XI AN JIAOTONG UNIV

Method for calculating parabolic wake flow model of wind power unit by influence of considering turbulence intensity

The invention belongs to the technical field of microcosmic location selection of a wind power plant, and particularly relates to a method for calculating a parabolic wake flow model of a wind power unit by considering influence of turbulence intensity. The method comprises the following steps of S1, assuming that the radius of a wake flow region is linearly increased and the radius of a wake flow region close to the back part of a wind wheel is the same as that of the wind wheel, and calculating the radius r of a wake flow region in the position of a back axial distance x of the wind wheel; S2, assuming that a wind velocity in the position of the back axial distance x of the wind wheel is uniformly distributed in a radial direction, and obtaining a uniform wind velocity v* according to mass conservation; S3, according to the mass conservation and the uniform wind velocity v*, obtaining a wind velocity v of any point on a horizontal plane of the height of a hub; S4, considering an influence of the turbulence intensity of the wake flow region on a wake flow recovery coefficient k, and by referring to an empirical formula for calculating additional turbulence intensity of blade rotation, obtaining a calculation formula of the wake flow recovery coefficient k; and S5, substituting the wake flow recovery coefficient k into the calculation formula of the window velocity v, thereby obtaining an empirical wake flow model of wind velocity distribution of the wake flow region of the wind power unit.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +2

Petroleum well drilling engineering accidents early-warning system based on layered fuzzy system

The present invention discloses an oil drilling engineering accident early warning system based on a hierarchy fuzzy system. First, a stimulant database for oil drilling engineering accident early warning is created; second, an input variable for oil drilling engineering accident early warning; third, the characteristic information of input signals is analyzed; fourth, a structural model of the hierarchy fuzzy system is created; fifth, an interval mapping and a hierarchy fuzzy reasoning of a unified model are done for the input variable in the third step; sixth, the output quantity of the oil drilling engineering accident early warning system is confirmed; seventh, the self-adjustment of the early warning result is done. The present invention has the advantages that the hierarchy fuzzy system is used to translate the excessive physical variable in the oil drilling engineering accident early warning system into a hierarchy system formed by connecting hierarchically with a reduced dimensionality fuzzy unit, and make the regular number of the fuzzy system increase with the number of the input variable linearly, thereby putting an end to the phenomenal of dimension calamity, and realizing the purpose of early warning for the oil drilling engineering accident accurately, efficiently and conveniently.
Owner:ZHENGZHOU UNIV +1

Image recognizing method and system based on neural network

The invention relates to an image recognizing method and system based on a neural network. The method includes the steps of firstly, collecting images of training samples and types of the training samples to set up a training sample set; secondly, setting original values of preset neural network parameters; thirdly, training the neural network according to the training sample set; fourthly, recognizing and classifying the images to be classified through the trained neural network, wherein the neural network comprises an input layer, an intermediate variable layer and an output layer, nodes of the intermediate variable layer include excitation type variable nodes of each output nerve cell node and suppression type variable nodes of each output nerve cell node, each node of the intermediate variable layer is connected with one of input nerve cell nodes of the input layer through a variable weight, and the variable weights include variable long-term weights and variable short-term weights. The required calculation amount from the input layer to the output layer is in direct proportion to the number of times of inputting the samples, namely, the calculation amount grows in a linear mode, and due to the method and system, the calculation amount is greatly reduced, and the recognition efficiency is improved.
Owner:SHENZHEN INST OF ADVANCED TECH

Baseband pre-distortion power amplifier linearization method based on one-way feedback and non-iterative technique

The invention discloses a baseband pre-distortion power amplifier linearization method based on one-way feedback and a non-iterative technique, belonging to the technical field of electronics and relating to a power amplifier linearization technique. Two orthogonal training sequences of linearly increased amplitudes are input into a power amplifier successively, and an improved look-up table is constructed by an I path feedback signal sequence output by power amplifier; the input signals of the whole power amplifier system calculates and looks for corresponding look-up table values by the amplitudes, then corresponding pre-distortion process is carried out on the I path and Q path baseband input signals, and the input signals after pre-distortion are output to the power amplifier after D / A conversion, filtration and up-conversion, thus obtaining the output signals which show linear amplification with the baseband input signals of the whole power amplifier system. The whole pre-distortion process can be realized in a digital processing chip (comprising DSP or FPGA). Compared with the prior art, the method does not need arctangent or inverse cosine calculation and does not need coordinate transformation, thus reducing calculation amount, increasing calculation efficiency and ensuring the system structure to be simpler.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
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