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7 results about "Identification technology" patented technology

Method for performing cross breeding on water chestnut and Dongkui waxberry for waxberry cultivating variety

ActiveCN104026001AAchieve hybridizationWidely used in germplasm innovationPlant genotype modificationWater ChestnutsGenotype determination
The invention discloses a method for performing cross breeding on water chestnut and Dongkui waxberry for waxberry cultivating variety. The method comprises the following steps: by taking water chestnut as a female parent and taking male flower of Dongkui waxberry as a male parent, pollinating during water chestnut full-blossom period; collecting seeds after the fruits are ripened, storing the seeds at the temperature of 5 DEG C, seeding to obtain F1 plants; and screening true hybrid plants from the F1 plants. Intervarietal cross breeding between the waxberry cultivating varieties such as water chestnut and Dongkui waxberry is realized for the first time, true hybrid plants with certain genotypes are obtained, and a novel technological approach is provided for breeding novel waxberry variety. Moreover, the filial generation is subjected to hybrid identification by amplifying specific expression SSR markers of the F1 generation, the identification process is simple and rapid and the cost is low, the identification result is stable and reliable, and the gap of the molecular biological identification technology of waxberry intervarietal hybridization is filled.
Owner:ZHEJIANG UNIV +1

Fingerprint direction feature obtaining method based on striped pattern

InactiveCN107506742ACancel noiseEliminate the effect of gray compensation valueMatching and classificationPattern recognitionValue restriction
The present invention provides a fingerprint direction feature obtaining method based on a striped pattern, and relates to the fingerprint automatic identification technology, etc. The method comprises three portions consisting of fingerprint image preprocessing, obtaining of three-dimensional single-base signals and obtaining of direction information. A fingerprint image is taken as a typical striped pattern, namely two-dimensional demodulated frequency modulation and amplitude modulation signals; two radian transition operators are employed to perform analysis solution of fingerprint signals to obtain three-dimensional single-base signals corresponding to the fingerprint signals; and according to the property of the single-base signals, the fingerprint direction information is obtained under polar coordinates. Compared to a traditional method, the fingerprint direction feature obtaining method based on the striped pattern eliminates the influence of noise and gray compensation values, has high anti-noise performance, and increases the credibility of a calculation result; and moreover, the operation of obtaining the fingerprint direction information in a frequency domain can directly eliminate the amplitude information in the fingerprint signals to obtain direction information representing the fingerprint uniqueness, avoid the problem that the modulation signals are not continuous in direction caused by the cosine function value restriction and reduce the unnecessary processing links so as to reduce the time cost of the identification system and effectively improve the identification efficiency of the system.
Owner:HARBIN UNIV OF SCI & TECH

Knowledge graph hyponymy relation identification method based on mode expansion and BERT classification and storage device

ActiveCN112417161AReduce complexityReduce labor inputNatural language data processingNeural architecturesConcept recognitionText recognition
The invention relates to the technical field of text recognition, in particular to a knowledge graph hyponymy relation recognition method based on pattern expansion and BERT classification and a storage device. The knowledge graph hyponymy relation recognition method based on pattern expansion and BERT classification comprises the steps: extracting potential hyponymy relation pairs from external data based on pattern expansion, and forming a hyponymy relation model training seed corpus in combination with a preset resource library; obtaining a to-be-predicted hyponymy data set, and predictingthe to-be-predicted data set based on the BERT-Attention-Bi-LSTM model to obtain a hyponymy prediction result; and further processing the hyponymy relationship prediction result through a preset ruleto obtain a final hyponymy relationship prediction result. The method greatly reduces the complexity and labor investment of rule compilation, has stronger realizability compared with another mainstream statistics-based hyponymy concept identification method, and can provide technical support for the construction of various professional knowledge maps.
Owner:FUJIAN YIRONG INFORMATION TECH
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