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1953results about How to "Reduce input" patented technology

Output method, system and server of recommendation information

The invention discloses an output method, system and server of recommendation information. The method comprises the following steps of: extracting user action data in a predetermined statistic period from a user action database; classifying the user action data according to commodity identifications to obtain a time sequence about interestingness of each commodity in the statistic period; computing a purchase peak probability of the commodity according to the time sequence about interestingness; when receiving a command of outputting the recommendation information, sorting the purchase peak probability according to an order from high to low, and outputting the recommendation information of the commodity according to a sorting result. The method provided by the invention automatically computes the purchase peak probability of the commodity on time dimension according to the user action data, thereby improving the recommendation accuracy of a recommendation system and reducing the transmission quantity of unnecessary data in the network; since the recommendation information is automatically modified and output by a server, and the computation capability of the server is sufficiently used, the information input quantity and computation resource of the recommendation system can be reduced when the recommendation information is adjusted according to the purchase peak probability.
Owner:ALIBABA GRP HLDG LTD

Analogue circuit fault diagnosis neural network method based on particle swarm algorithm

The invention discloses a neural network method for diagnosing analog circuit failures which is based on a particle swarm algorithm, and comprises the following steps: imposing an actuating signal to an analog circuit to be tested, measuring an actuating response signal in the testing nodes of the circuit, extracting the candidate signal of failure characteristics by implementing noise elimination and then wavelet packet transformation on the measured actuating response signal, extracting the failure characteristics information by further implementing orthogonal principal component analysis and normalization processing on the candidate signal of failure characteristics, and sending the failure characteristics information as samples to the neural network for implementing classification. The method adopts the particle swarm algorithm instead of a gradient descent method in traditional BP algorithms, thus leading the improved algorithm to be characterized in that the algorithm avoids the local minimum problem and has better generalization performance. The BP neural network method for diagnosing the analog circuit failures which is optimized on the basis of particle swarm can obviously reduce iteration times in the algorithm, improve the precision of network convergence, and improve diagnosis speed and precision.
Owner:HUNAN UNIV

Brain tumor segmentation network and segmentation method based on U-Net network

The invention discloses a brain tumor segmentation network and segmentation method based on a U-Net network. The tail of a contraction path of the segmentation network is connected with a spatial pyramid pooling structure; hole convolution of different scales is introduced into a network jump connection part of the segmentation network; an Add operation and original input are adopted to form a residual block with hole convolution; a receptive field of shallow feature information in the contraction path is expanded; fusing with an expansion path of a corresponding stage is carried out. The segmentation method comprises the following steps: cutting and preprocessing a training data set, then constructing a brain tumor segmentation network DCU-Net based on a U-Net network, then inputting a preprocessed two-dimensional image into a segmentation model for feature learning and optimization, obtaining an optimal parameter model of the segmentation model, and finally inputting a to-be-segmented test data set image into the segmentation model for tumor region segmentation. According to the method, the problems of over-segmentation and under-segmentation in brain tumor segmentation can be effectively solved, and the brain tumor segmentation precision is improved.
Owner:HENAN UNIVERSITY OF TECHNOLOGY

Successive approximation analog-to-digital converter with pre-loaded SAR registers

A SAR converter having enhanced performance by virtue of effectively pre-loading the SAR's most significant bits with a value that makes the associated DAC output almost equal to the signal to be converted. A normal SAR conversion is then completed with the SAR bits that have not been pre-loaded. The value used to pre-load the most significant bits of the SAR is preferably obtained from a low-resolution, high-speed converter, such as a flash. The range of DAC bits used in the normal SAR part of the conversion may be increased such that errors up to a certain magnitude in the high-speed converter can be corrected. Reducing power consumption of a SAR system can be readily accomplished by reducing comparator supply voltage. For a SAR converter architecture using a CAPDAC array or CAPDAC (capacitor array DAC), fairly large variations in comparator input voltage can be expected under these circumstances. If the input voltage variation becomes too large, damage to the comparator input devices can occur, or inaccuracies may develop. In one embodiment of the invention, the most significant bits are provided by sampling the input signal through a flash ADC that does not suffer from the input voltage restriction described above.
Owner:ANALOG DEVICES INC

Induction method of three-dimensional (3D) online induction system for mechanical equipment dismounting

InactiveCN102789514AAugmented reality inductionImprove high universalityInput/output for user-computer interactionGraph readingInduction motor3d design
The invention discloses an induction method of a three-dimensional (3D) online induction system for mechanical equipment dismounting. The induction system comprise an eyeglass-type augmented reality helmet, a hand position tracking device and a computer, wherein the augmented reality helmet is provided with two display screens and two cameras; and wireless communication can be realized among the augmented reality helmet, the hand position tracking device and the computer. An induction method for realizing the three-dimensional online induction system for mechanical equipment dismounting comprises the following steps of: 1, transforming a virtual assembly model; 2, initializing the induction system; 3, recognizing the dismounting purpose; 4, generating induction information; 5, overlapping the induction information; and 6, repeating the steps 3-5 until the online product induction is finished. The method disclosed by the invention has the characteristics of accurate induction information, strong universal capability and convenience in carrying, and can be used for realizing the 3D online induction driven by requirements of operators, current situations of tasks and dismounting history and realizing the integration of product 3D design and dismounting induction.
Owner:QINGDAO TECHNOLOGICAL UNIVERSITY
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