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1298results about How to "Small amount of calculation" patented technology

License plate detection method based on deep learning

The invention discloses a license plate detection method based on deep learning, comprising the following steps: using a fast-rcnn algorithm to train an RPN convolution neural network and a fast-rcnn convolution neural network; building an image library with marks and tags as a sample set; using the trained RPN convolution neural network to process the images in the sample set to get a rough license plate area; sending a rough license plate box to the trained fast-rcnn convolution neural network for judgment; and judging whether the rough license plate area is an optimal license plate area according to the output vector of the fast-rcnn convolution neural network, and if the rough license plate area is an optimal license plate area, taking the rough license plate area as a final license plate area. According to the invention, a multi-scale and multi-proportion reference box is adopted in training of the RPN convolution neural network, so detection of license plates with unconventional scale and proportion is promoted effectively. The RPN convolution neural network and the fast-rcnn convolution neural network share convolution layer parameters, so the whole system is simpler, less amount of calculation is needed, and the rate of missed detection is lower. Moreover, the real-time requirement of the system can be satisfied.
Owner:CHENGDU XINEDGE TECH

Large slanting view angle machine-carried SAR beam bunching mode imaging method based on non-uniform sampling

InactiveCN101430380ALarge squint angleSmall amount of calculationRadio wave reradiation/reflectionPhysicsRange gate
The invention discloses an imaging method by a large squint angle airborne SAR spotlight mode based on non-uniform sampling. Based on an analysis of azimuth signals characteristics of targets at different azimuths on the same range gate under the condition of a large squint angle, the method enlarges the azimuth imaging range output by effective focuses by a non-uniform interpolation resampling processing method. In the method, a data acquisition model under the large squint angle is equated with a right side looking data acquisition model of increment motion compensation. The method comprises the following steps: firstly, performing cubic phase compensation in an original data field, then performing range walk correction on a time domain and range migration correction on a 2D frequency domain, completing azimuth compression by the non-uniform interpolation resampling method, and finally, completing autofocus processing by a phase gradient autofocus algorithm. Compared with the prior art, the method can help process a larger squint angle, and has the advantages of small calculation amount and easy real-time processing. The method can be applicable to the conventional radar systems without a function of tracing Dechirp demodulation by a scene center.
Owner:BEIHANG UNIV +1

Commodity recommendation method and system based on video content

The invention provides a commodity recommendation method and system based on video content to solve the problem that the accuracy of commodity recommendation results is low. The method comprises the steps that keyframes are extracted from target video; object detection is conducted to each keyframe according to objectivity of objects, and the detected objects serve as candidate objects of each keyframe; commodity identification is conducted to the candidate objects of each keyframe through a convolutional neural network model, and commodities of each keyframe are obtained; keyword mapping is conducted to the commodities of each keyframe, and corresponding commodity tags are obtained to serve as the commodity tags of each keyframe; the commodity tags of each keyframe are determined as commodity recommendation information of the target video, and the commodity recommendation information is output. According to the commodity recommendation method and system based on the video content, the video content is taken into consideration when commodity recommendation is conducted, the video content is analyzed, and the obtained commodity recommendation information is closely bound up with the content of the target video, so that the accuracy of the the commodity recommendation results is improved.
Owner:BEIJING QIYI CENTURY SCI & TECH CO LTD

Advertisement putting method and system

InactiveCN103440584AWeakening the forecasting processSmall amount of calculationMarketingAd servingClick-through rate
An embodiment of the invention discloses an advertisement putting method and system. The method and system aim to resolve the problems that calculating pressure of an advertisement putting server is large, response time is long, and advertisement putting speed is low. The method comprises the steps that historical click rates of various dimension characteristics of all candidate put advertisements are calculated, and weight of all the dimension characteristics is calculated according to the historical click rates of all the dimension characteristics; the dimension characteristics is less than advertisement putting characteristics; click rate prediction calculation is conducted on the historical click rates of all the dimension characteristics and the weight of all the dimension characteristics to obtain click rate prediction values of all the candidate put advertisements; the click rate prediction values of all the candidate put advertisements are mapped into advertisement click rates of all the candidate put advertisements, and advertisement putting is conducted according to the advertisement click rates of all the candidate put advertisements. As overmany advertisement putting characteristics do not need to be considered, calculating amount of the advertisement putting server is reduced, processing pressure of the advertisement putting server is relieved, and the response speed of the advertisement putting server is improved.
Owner:BEIJING IZP NETWORK TECH CO LTD

Identification method of image target of synthetic aperture radar based on noise independent component analysis

InactiveCN101908138AOvercome influenceSmall amount of calculationCharacter and pattern recognitionRadio wave reradiation/reflectionInverse synthetic aperture radarImage denoising
The invention relates to an identification method of image targets of a synthetic aperture radar based on noise independent component analysis, belonging to the technical filed of synthetic aperture radar image target identification. The method comprises the following steps: firstly, preprocessing input images of an original training sample of the synthetic aperture radar to ensure that the images conform to whitening and zero mean normalization and the probability density of image noise complies with Gaussian distribution; secondly, performing logarithm noise independent component analysis on the preprocessed training sample and a real-time measurement sample to be identified, extracting the independent component characteristics of the images to be identified; and finally, identifying the sample to be identified by an independent component analysis method. The independent component characteristics extracted by the method of the invention are more suitable for classification, thus eliminating the image denoising process necessarily to be carried out in the preprocessing stage in an ideal ICA algorithm, improving the robustness of the algorithm on abnormal data, improving the instantaneity and reliability of SAR image target identification, and being suitable for SAR image characteristic extraction and automatic target identification.
Owner:BEIHANG UNIV

Target tracking method based on fusion of forward looking camera and millimeter wave radar

The invention relates to a target tracking method based on the fusion of a forward looking camera and a millimeter wave radar. The method comprises the following steps: 1) jointly calibrating the forward looking camera and the millimeter wave radar; 2) tracking the dynamic target according to the millimeter wave radar measurement, using the Kalman filter to update the state of a detected target state, and obtaining the tracking track of the millimeter wave radar to the target; 3) obtaining the position and the speed information of the target through the forward looking camera, tracking the dynamic target, using the Kalman filter to update the state of the detected target state, and obtaining the tracking track of the forward-looking camera to the target; 4) fusing the tracking target stateof the millimeter wave radar and the forward looking camera. According to the target tracking method based on the fusion of the forward looking camera and the millimeter wave radar, compared with theprior art, the defects of single sensor miss detection, false detection, tracking failure, and state detection inaccuracy are compensated by tracking the targets detected by two different sensors, and the safety of an intelligent car is increased by using the redundant information.
Owner:TONGJI UNIV

Decomposition calculating method of optimal power flow of power system with unified power flow controller

Disclosed is a decomposition calculating method of the optimal power flow of a power system with a unified power flow controller. The method is characterized by comprising the following steps of firstly obtaining steady-state operating parameters required by the power flow calculation of the power system; secondly, determining the mounting position and the control parameter range of the unified power flow controller; thirdly, based on network equivalence, equalizing the branches of the unified power flow controller to two PQ nodes containing control targets; fourthly, utilizing taboo research to perform multiple optimal power flow calculation to determine an active control target of the unified power flow controller; and fifthly, calculating the control parameters according to the obtained control target of the unified power flow controller and the operation state of the system. The decomposition calculating method of the optimal power flow system with the unified power flow controller can equivalently decompose the optimal power flow calculation problem of the power system with the unified power flow controller into a two-layer optimization problem through network, can perform the optimal power flow calculation of the power system more effectively and more reliably, and has engineering use value.
Owner:SHENYANG POLYTECHNIC UNIV

Commodity recommendation optimizing method and system based on collaborative filtering

The invention provides a commodity recommendation optimizing method based on collaborative filtering. The commodity recommendation optimizing method comprises the steps that tag types corresponding to commodities are set according to received setting instructions; the internet behavior data information of a user is acquired, and the attention value of the user on each commodity in the commodities is determined according to the internet behavior data information; the tag types corresponding to the commodities are determined to determine the values of the attention of the user to the tag types corresponding to the commodities; according to the attention values, a user recommendation group which the user belongs to is determined; commodity recommendation is carried out on the user according to the attention values of the other users in the recommendation group on the commodities. Correspondingly, the invention further provides a commodity recommendation optimizing system based on collaborative filtering. According to the technical scheme, tags are introduced in the commodity recommendation optimizing method based on collaborative filtering, due to the fact that the number of the tags is far smaller than the number of the commodities, calculation of the pertinence of the user and the commodities is greatly reduced, the calculation quantity is reduced, and meanwhile the recommendation accuracy is guaranteed.
Owner:CITEN COMM TECH TIANJIN

Simple method for detecting phase sequence of three-phase industrial-frequency alternating current and detection device

InactiveCN101788615ASmall amount of calculationSimple system structurePhase sequence/synchronism indicationPhysicsTesting equipment
The invention discloses a simple method for detecting the phase sequence of three-phase industrial-frequency alternating current and a detection device. In the invention, the zero-crossing rising edges of the three-phase voltage are respectively sampled, measured at a single point and compared by using the principle of phase time difference of the three-phase industrial-frequency alternating current, and the phase sequence and phase position of the three-phase industrial-frequency alternating current are judged by calculating the phase time difference. The method comprises the following steps: measuring the voltage rise zero-crossing point of any phase (defined as A) of the three-phase alternating current, and starting to calculate time with a clock by using the rising edge zero-crossing point of the Phase A as the reference point; then sequentially measuring the voltage rise zero-crossing points of the other two phases, and measuring the time differences T1 and T2 between the phase position rise zero-crossing point and the reference point of each of the two phases; and judging Phase B and Phase C through calculation. The method can measure three-phase industrial-frequency alternating current. The integrated multifunctional detection device has the advantages of miniaturization, systematization, simple structure and small calculated quantity, and can reduce the labor intensity of electrical installation and maintenance personnel.
Owner:CHINA NON-FERROUS METALS PROCESSING TECH CO LTD
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