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15440results about How to "Improve computing efficiency" patented technology

Method for accelerating convolution neutral network hardware and AXI bus IP core thereof

The invention discloses a method for accelerating convolution neutral network hardware and an AXI bus IP core thereof. The method comprises the first step of performing operation and converting a convolution layer into matrix multiplication of a matrix A with m lines and K columns and a matrix B with K lines and n columns; the second step of dividing the matrix result into matrix subblocks with m lines and n columns; the third step of starting a matrix multiplier to prefetch the operation number of the matrix subblocks; and the fourth step of causing the matrix multiplier to execute the calculation of the matrix subblocks and writing the result back to a main memory. The IP core comprises an AXI bus interface module, a prefetching unit, a flow mapper and a matrix multiplier. The matrix multiplier comprises a chain type DMA and a processing unit array, the processing unit array is composed of a plurality of processing units through chain structure arrangement, and the processing unit of a chain head is connected with the chain type DMA. The method can support various convolution neutral network structures and has the advantages of high calculation efficiency and performance, less requirements for on-chip storage resources and off-chip storage bandwidth, small in communication overhead, convenience in unit component upgrading and improvement and good universality.

Personalized news recommendation device and method based on news content and theme feature

InactiveCN102831234AAccurate grasp of interestAccurate and personalized news recommendationSpecial data processing applicationsPre treatmentTopic model
The invention discloses a personalized news recommendation device and method based on news content and theme feature. The recommendation device is equipped with seven modules, namely a news capturing module, a pre-treatment module, a theme model training module, a theme model predicting module, a user model building module, a news recommendation module and a recommendation treatment module. The recommendation method comprises the following steps: building an personalized user model with the theme model and a relevant named entity noun sequence to express the interest preference of the user reading news, and calculating weight and converting the theme feature vector of users so as to reduce the influence of hot themes and single news content on the user interest, thereby effectively overcoming the defects of concentrated user interest and insufficient diversity of recommendation results. In a recommendation output stage, an initial recommendation news list is treated, a theme grouping process based on the personalized user model is added on the basis of currently repeating data deleting and redundancy filtering, and news texts are reordered again according to the aging weight so as to recommend the accurate, diversified and novel personalized news.

A three-dimensional wire frame structure method and system fusing a binocular camera and IMU positioning

The invention relates to a three-dimensional wire frame structure method and system fusing a binocular camera and IMU positioning. On the basis of binocular vision, the invention initializes and fusesinertial measurement information by using a divide-and-conquer strategy, implements tracking, positioning and drawing, and can robustly run in indoor and outdoor environments and complex motion conditions. On the basis of accurate positioning, 3D wireframe reconstruction and iterative optimization are carried out based on the posture of the key frame. Linear segments are matched by local featuresand spatial geometric constraints and back-projected into three-dimensional space. Through the angle and distance constraints, the straight line segments are divided into different sets. Based on thegrouping results, the fitting region is determined and the straight line segments are merged. Finally, a 3-D wireframe structure is output. The invention fuses multi-source information to improve thestability and robustness of the system on the traditional vision-based positioning and mapping method. At the same time, line information is added to the key frame to sparsely express the structuralcharacteristics of the three-dimensional environment, which improves the computational efficiency.

Method and apparatus for computing over a wide area network

A cluster computer system including multiple network accessible computers that are each coupled to a network. The network accessible computers implement host computer programs which permits the network accessible computers to operate as host computers for client computers also connected to the network, such that input devices of the client computers can be used to generate inputs to the host computers, and such that image information generated by the host computers can be viewed by the client computers. The system also includes a cluster administration computer coupled to the multiple network accessible computers to monitor the operation of the network accessible computers. A method for providing access to host computers by client computers over a computer network includes receiving a request for a host computer coupled to a computer network from a client computer coupled to the computer network, wherein the relationship of the host computer to the client computer is to be such that after the client computer becomes associated with a host computer, an input device of the client computer can be used to generate inputs to the host computer, and such that image information generated by the host computer can be viewed by the client computer. Next, a suitable host computer for the client computer is determined, and the client computer is informed of the network address of the suitable host computer.

Automatic sorting system for household refuse

Disclosed is an automatic sorting system for household refuse. The system comprises a refuse target identification unit, a refuse sorting control unit, a mechanical arm and a sampling camera which is mounted at the fixed position of a conveying belt for conveying household refuse; the sampling camera shoots the household refuse on the conveying belt in real time and transmits obtained optical images to the refuse target identification unit; the refuse target identification unit receives the optical images in real time and displays the images, according to the characteristics of presorted target refuse, the optical images are treated, targets in the images are identified, and target posture information frames are obtained, and are input into the refuse sorting control unit; and the refuse sorting control unit judges whether a target enters the working section of the leisure mechanical arm or not according to the input target posture information frames and the opposite position of the mechanical arm and the conveying belt, the posture information of the target entering the working section of the mechanical arm is converted into a mechanical arm coordinate system and sent to the corresponding mechanical arm, and the corresponding mechanical arm is controlled to grab the corresponding target.

Three-level midpoint potential balance control method based on zero sequence voltage injection

The invention provides a three-level midpoint potential balance control method based on zero sequence voltage injection, which is a control method capable of effectively controlling the balance of the midpoint potential in a high-power diode clamped three-level inverter. The control method comprises: collecting to obtain voltage values and three-phase output current values of two capacitors on the two sides of a direct current bus through voltage and current sampling circuits, calculating the voltage difference of two capacitors, judging whether the midpoint level is balanced and judging the relation of the three-phase output current and midpoint current during vector output under multi-carrier wave PWM modulation policy, calculating to generate a three-phase modulation voltage by using a zero sequence voltage injection method according to a zero sequence voltage selection principle, comparing with carrier waves to generate a needed switching sequence so as to achieve the purpose of controlling the midpoint level balance in the three-level inverter. The invention not only controls the midpoint level effectively, but also has the advantages of simple control method and strong robustness, and can ensure the inverter to work stably in a total range.

Prospective interpolation system for compressing and smoothening small segment paths

The invention provides a prospective interpolation system for compressing and smoothening small segment paths. The prospective interpolation system comprises a path smoothening module, a curve scanning and segmenting module, a bidirectional acceleration module, a speed planning module and an interpolation module, wherein the path smoothening module is used for extracting small segment coordinate information in codes by reading information of G01 segments of numerical control codes G, conducting calculation according to the coordinate information and conducting path compression and smoothening on small segments; the curve scanning and segmenting module, the bidirectional acceleration module and the speed planning module complete S-shaped speed planning tasks with limited jerk; the interpolation module is used for generating discrete interpolation points according to planning speed obtained through calculation; the interpolation points can be stored and used for position closed-loop control. The prospective interpolation system is high in calculation efficiency in the whole process, small in calculation quantity, simple in programming realization and capable of being further applied to a high-speed and high-precision numerically-controlled machine tool.

Method for autonomously localizing robots on basis of laser radar

The invention discloses a method for autonomously localizing robots on the basis of laser radar. The method includes randomly generating N particles to form particle swarms around initial locations ofthe robots, and updating the particle swarms according to robot real-time movement distances and real-time rotation angles measured by sensors of the robots at current operation moments of the robots; computing the superposition quantity of point cloud of the laser radar and obstacles of maps for each particle to use the superposition quantity as a score of the particle, computing weighted position and posture average values of the particle swarms by the aid of the score, which is used as a weight, of each particle and utilizing the weighted position and posture average values as AMCL (adaptive Monte Carlo localization) estimation positions and posture; utilizing the AMCL estimation positions and posture as initial values, acquiring scanned and matched positions and posture by the aid ofscanning and matching algorithms on the basis of Gauss-Newton iterative processes and utilizing the scanned and matched positions and posture as the optimal positions and posture of the robots at thecurrent operation moments; re-sampling the particle swarms by the aid of AMCL algorithms to ultimately obtain the global optimal positions and posture of the robots during operation. The global optimal positions and posture of the robots are used as localization results. The method has the advantage that the localization convergence rate can be greatly increased, and the localization precision andthe localization stability can be greatly enhanced.

Simulating method of forming process of unconventional oil and gas reservoir hydraulic fracturing complex fracture net

The invention discloses a simulating method of the forming process of an unconventional oil and gas reservoir hydraulic fracturing complex fracture net. The method includes the steps of a, reestablishing natural fracture distribution, estimating the properties of natural fractures, obtaining rock mechanical information and stratum stress information of a stratum from log data or a geological model, and obtaining a data file related to the well factory construction process; b, inputting the obtained parameters in an established natural fractured reservoir fracturing model coupling a well cylinder, fractures and the stratum; c, conducting numerical value solving on the model to obtain after-fracturing information such as fracture forms, opening degree distribution and pressure intensity distribution; d, analyzing the fracturing effect through a model calculating result, and making a preparation for numerical value simulation of the later-period production process. The fractured reservoirfracturing numerical value simulating method coupling the well cylinder flowing, the fracture deformation expanding, the multi-state natural fractures and the flowing of fluid in the fractures can quantitatively analyze the form of the unconventional reservoir segmented volume fracture net and is an effectively means for evaluating and optimizing the fracturing scheme.

Image classification method capable of effectively preventing convolutional neural network from being overfit

The invention relates to an image classification method capable of effectively preventing a convolutional neural network from being overfit. The image classification method comprises the following steps: obtaining an image training set and an image test set; training a convolutional neural network model; and carrying out image classification to the image test set by adopting the trained convolutional neural network model. The step of training the convolutional neural network model comprises the following steps: carrying out pretreatment and sample amplification to image data in the image training set to form a training sample; carrying out forward propagation to the training sample to extract image features; calculating the classification probability of each sample in a Softmax classifier; according to the probability yi, calculating to obtain a training error; successively carrying out forward counterpropagation from the last layer of the convolutional neural network by the training error; and meanwhile, revising a network weight matrix W by SGD (Stochastic Gradient Descent). Compared with the prior art, the invention has the advantages of being high in classification precision, high in rate of convergence and high in calculation efficiency.

Multi-target detection method based on short-time Fourier transform and fractional Fourier transform

The invention discloses a multi-target detection method based on short-time Fourier transform and fractional Fourier transform, which belongs to the technical field of the radar target detection. The method comprises the following steps that the short-time Fourier transform is firstly used for conducting the primary detection on a signal, then a binaryzation method is used for processing a primary detection result, phase position of the signal is kept in the processing, the fractional Fourier transform is used for detecting a signal after being restored by the short-time Fourier transform, by adopting multiple methods for combined processing, advantages of overcoming phenomenon that a strong signal side lobe presses a weak signal main lobe, improving the signal-to-noise ratio of the signal to be detected, and solving the problem of the large false alarm possibility which is caused by adopting traditional method to detect the signal at the low signal-to-noise ratio can be realized; and meanwhile, an image contrast method and a gradual elimination method are adopted, multiple strong signals and weak signals with different or identical frequency modulation rates can be detected by utilizing the space and power strength information of the signal, so that the detection probability and the calculation efficiency can be further improved, easiness in project realization is realized, and the method is worth of being adopted and popularized.
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