Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

433 results about "High level expression" patented technology

Fine granularity vehicle multi-property recognition method based on convolutional neural network

The invention relates to a fine granularity vehicle multi-property recognition method based on a convolutional neural network and belongs to the technical field of computer visual recognition. The method comprises the steps that a neural network structure is designed, including a convolution layer, a pooling layer and a full-connection layer, wherein the convolution layer and the pooling layer areresponsible for feature extraction, and a classification result is output by calculating an objective loss function on the last full-connection layer; a fine granularity vehicle dataset and a tag dataset are utilized to train the neural network, the training mode is supervised learning, and a stochastic gradient descent algorithm is utilized to adjust a weight matrix and offset; and a trained neural network model is used for performing vehicle property recognition. The method can be applied to multi-property recognition of a vehicle, the fine granularity vehicle dataset and the multi-propertytag dataset are utilized to obtain more abstract high-level expression of the vehicle through the convolutional neural network, invisible characteristics reflecting the nature of the to-be-recognizedvehicle are learnt from a large quantity of training samples, therefore, extensibility is higher, and recognition precision is higher.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Front vehicle parameter identification method based on multitask convolution nerve network

The invention discloses a vehicle multiparameter identification method based on a multitask convolution nerve network. The method comprises the following steps of designing and training of a convolution nerve network structure; and vehicle parameter identification based on the convolution nerve network. In the invention, through the convolution nerve network, original data is converted into an abstract high-level expression through a simple and nonlinear model. Therefore, in the convolution nerve network, a recessive character reflecting an essence of an object to be identified can be learned from a lot of training samples. Compared to a shallow learning classifier, by using the method, high expandability is possessed, identification of various kinds of objects in a traffic environment is satisfied and identification precision is high. When being applied to the complex traffic environment, the method has a high anti-environment interference capability. In the invention, the convolution nerve network is applied to multiparameter identification of a vehicle; the trained convolution nerve network is used to identify a type characteristic, pose information and a vehicle light state of the vehicle in an image so that predictable performance of a potential vehicle behavior is enhanced.
Owner:DALIAN UNIV OF TECH

High-density fermentation and purification process for recombination high temperature-resistant hyperoxide dismutase

The present invention provides a high density fermentation and a purification process of a recombination high temperature resistance superoxide dismutase, the construction method of the invention includes: using gene coded for SOD in a thermophilic bacteria as a template, designing specific primer amplification target gene having restriction enzyme sites, after double digestion, connecting to plasmid vector pET28a after the same double digestion, constructing a recombinant plasmid, named for pSOD, transforming plasmid pSOD to competence escherichia coli BL21(DE3) by chemical transformation method, obtaining strain having high SOD yield after screening, completing the construction of SOD engineering bacteria; the fermentation process includes four steps of first order seed culture, secondary order feed culture, batch fermentation and induced expression, fermentation product SOD is finally obtained; the fermentation process realizes high level expression of SOD, the expression of the target protein is more than 60% of the bacterial protein total; SOD has excellent thermal stability and heat resistance, the expression product accounts for more than 60% of the whole proteins, and fully soluble protein, avoiding any trouble in the course of inclusion body renaturation; the purification process is simple, having high yield, lower cost, the final product SOD has high purification, high activity and strength stability.
Owner:YANGTZE DELTA REGION INST OF TSINGHUA UNIV ZHEJIANG +1
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products