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34results about How to "Fast and efficient identification" patented technology

Multilevel semantic feature-based face feature extraction method and recognition method

The invention discloses a multilevel semantic feature-based face feature extraction method and recognition method. The method includes the following steps that: 1) organ areas of each image in a facial image set A are divided; 2) bottom-level features of each organ are extracted and clustered; two clusters are extracted from clustering results and are adopted as positive and negative samples, and the positive and negative samples are trained in a paired combination manner such that a classifier set can be obtained, and the results of discrimination which is performed on the bottom-level features by the classifier set are united so as to obtain the middle-level features of the organ; the images in the A are the classified according to tags; any two classifications are selected from classification results of the tags and are adopted as positive and negative samples, and the positive and negative samples are trained in a paired combination manner such that a classifier set can be obtained, and the results of classification and discrimination which are performed on all the middle-level features in the A by the classifier set are united so as to obtain high-level features of the tags; the bottom-level features, the middle-level features and the high-level features are adopted to construct face features of the images; face features Vq are generated for any image q to be searched; and the face features Vq are matched with the face features in the A, and query results are returned. With the multilevel semantic feature-based face feature recognition method and recognition method adopted, recognition accuracy and stability can be improved.
Owner:BEIJING KUANGSHI TECH

Simultaneous tracing of multiple phone/data cables

For tracing multi-conductor cable runs from multiple phone/data locations throughout a building or complex to a junction facility where the cables need to be systematically identified and connected to a terminal panel, rapid tracing and identification are accomplished by deploying a large number of special low-cost senders, e.g. a set of forty eight senders, connecting as many senders as required to energize every cable at each location via its standard modular jack. Each sender delivers a unique identification signal, e.g. a spoken number from 1 to 48, energizing a corresponding phone cable and/or data cable. With all of the cables thusly energized simultaneously and distinguishably, a technician working with a proximity probe in the junction facility can rapidly identify and tag and/or connect all the cables in an uninterrupted session, without requiring the usual assistant and intercom link, and with no time wasted probing unenergized cables. For larger systems beyond the tracing capability of the set number of senders, a range switch provides three additional extension ranges with unique identification numbers to preserve a numerical sequence when more than one session is required. As an optional refinement, one or more of the senders may be further equipped to enable wire-mapping of all active conductors in the cables.
Owner:HOUCK RICHARD H

PSE meat screening method based on near infrared spectrum

ActiveCN104655585AQuick Online ScreeningNo damageMaterial analysis by optical meansLongissimus dorsiInfrared
The invention discloses a PSE meat screening method based on a near infrared spectrum. The method comprises the following steps: acquiring a near infrared spectrum of a to-be-detected meat sample of the slaughtered pork longissimus dorsi by using a near-infrared spectrograph, and preprocessing the acquired near infrared spectrum of the to-be-detected meat sample; and screening the PSE meat by virtue of the average spectrum of a normal meat sample, the average spectrum of a PSE meat sample, the normal meat sample threshold value and the PSE meat sample threshold value in a PSE meat qualitative analysis model based on the near infrared spectrum, wherein the meat sample is a normal meat sample when the distance between the spectrum of the to-be-detected meat sample and the average spectrum of the normal meat sample is smaller than the normal meat sample threshold value, and the meat sample is a PSE meat sample when the distance between the spectrum of the to-be-detected meat sample and the average spectrum of the PSE meat sample is smaller than the PSE meat sample threshold value. The method is high in speed, high-efficiency and high in identification rate, and the meat is not damaged. A novel scientific, standard and rapid method for screening PSE meat on line in a slaughter house is provided.
Owner:NANJING AGRICULTURAL UNIVERSITY

Primer composition for identifying ecotype of indica subspecies of rice and use thereof

The invention discloses a primer composition for identifying the ecotype of indica subspecies of rice and use thereof. The primer composition disclosed by the invention comprises the following primer pairs: a primer pair rm 216 consisting of DNAs represented by sequences 1 and 2, a primer pair rm225 consisting of DNAs represented by sequences 3 and 4, a primer pair rm235 consisting of DNAs represented by sequences 5 and 6, a primer pair rm25 consisting of DNAs represented by sequences 7 and 8, a primer pair rm 23 consisting of DNAs represented by the sequences 9 and 10, a primer pair rm 244 consisting of DNAs represented by sequences 11 and 12, a primer pair rm 253 consisting of DNAs represented by sequences 13 and 14, a primer pair rm 267 consisting of DNAs represented by sequences 15 and 16, a primer pair rm 296 consisting of DNAs represented by sequences 17 and 18, a primer pair rm 223 consisting of DNAs represented by sequences 19 and 20 and a primer pair rm 258 consisting of DNAsrepresented by sequences 21 and 22. The primer composition discloses by the invention can be used for identifying the ecotype of the indica subspecies of rice, has the advantages of quickness, convenience, high efficiency, high sensitivity, high identifying capacity, accurate and reliable result and the like.
Owner:CHINA AGRI UNIV

Primer composition for identifying rice indica subspecies ecotype and its application

The invention discloses a primer composition for identifying the ecotype of indica subspecies of rice and use thereof. The primer composition disclosed by the invention comprises the following primer pairs: a primer pair rm 216 consisting of DNAs represented by sequences 1 and 2, a primer pair rm225 consisting of DNAs represented by sequences 3 and 4, a primer pair rm235 consisting of DNAs represented by sequences 5 and 6, a primer pair rm25 consisting of DNAs represented by sequences 7 and 8, a primer pair rm 23 consisting of DNAs represented by the sequences 9 and 10, a primer pair rm 244 consisting of DNAs represented by sequences 11 and 12, a primer pair rm 253 consisting of DNAs represented by sequences 13 and 14, a primer pair rm 267 consisting of DNAs represented by sequences 15 and 16, a primer pair rm 296 consisting of DNAs represented by sequences 17 and 18, a primer pair rm 223 consisting of DNAs represented by sequences 19 and 20 and a primer pair rm 258 consisting of DNAsrepresented by sequences 21 and 22. The primer composition discloses by the invention can be used for identifying the ecotype of the indica subspecies of rice, has the advantages of quickness, convenience, high efficiency, high sensitivity, high identifying capacity, accurate and reliable result and the like.
Owner:CHINA AGRI UNIV

A face feature extraction method and recognition method based on multi-level semantic features

The invention discloses a multilevel semantic feature-based face feature extraction method and recognition method. The method includes the following steps that: 1) organ areas of each image in a facial image set A are divided; 2) bottom-level features of each organ are extracted and clustered; two clusters are extracted from clustering results and are adopted as positive and negative samples, and the positive and negative samples are trained in a paired combination manner such that a classifier set can be obtained, and the results of discrimination which is performed on the bottom-level features by the classifier set are united so as to obtain the middle-level features of the organ; the images in the A are the classified according to tags; any two classifications are selected from classification results of the tags and are adopted as positive and negative samples, and the positive and negative samples are trained in a paired combination manner such that a classifier set can be obtained, and the results of classification and discrimination which are performed on all the middle-level features in the A by the classifier set are united so as to obtain high-level features of the tags; the bottom-level features, the middle-level features and the high-level features are adopted to construct face features of the images; face features Vq are generated for any image q to be searched; and the face features Vq are matched with the face features in the A, and query results are returned. With the multilevel semantic feature-based face feature recognition method and recognition method adopted, recognition accuracy and stability can be improved.
Owner:BEIJING KUANGSHI TECH CO LTD
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