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140 results about "Group Label" patented technology

Image analysis

A method for the automated analysis of digital images, particularly for the purpose of assessing the presence and severity of cancer in breast tissue based on the relative proportions of tubule formations and epithelial cells identified in digital images of histological slides. The method includes the step of generating a property co-occurrence matrix (PCM) from some or all of the pixels in the image, using the properties of local mean and local standard deviation of intensity in neighbourhoods of the selected pixels, and segmenting the image by labelling the selected pixels as belonging to specified classes based upon analysis of the PCM. In this way relatively dark and substantially textured regions representing epithelial cells in the image can be distinguished from lighter and more uniform background regions Other steps include identifying groups of pixels representing duct cells in the image based on intensity, shape and size criteria, dilating those pixels into surrounding groups labelled as epithelial cells by a dimension to correspond to an overall tubule formation, and calculating a metric based on the ratio of the number of duct pixels after such dilation to the total number of duct and epithelial pixels. Other uses for the method could include the analysis of mineral samples containing certain types of crystal formations.
Owner:QINETIQ LTD

Content putting method and device of advertising screen

InactiveCN107679899APrecise deliverySolve the problem that it is impossible to target specific audiences accuratelyMarketingTerminal equipmentCrowds
The invention discloses a content putting method and device of an advertising screen. The content putting method includes acquiring corresponding user information through inquiring a group data serveraccording to terminal device information; determining group labels in a period according to the user information and acquiring environment labels in the period according to the environment information of the advertising screen in the period; acquiring advertisement material having a matching degree greater than a matching threshold value and putting the advertisement material onto the advertisingscreen. By adopting the technical scheme provided by the invention, the group labels in the period are determined through the user information and the advertisement material having the matching degree greater than the matching threshold value is acquired and put on the advertising screen, so that a problem of an outdoor advertising screen in incapability of accurate putting of advertisement material for specific audiences is solved, accurate advertisement putting is performed when triggering conditions such as environment scene factors of the advertising screen, external weather factors, audience group factors and real time advertisement owner factors are met, and advertising effect and conversion rate are improved effectively.
Owner:上海维智卓新信息科技有限公司

Knowledge graph-based precise-recommendation technology of offline medicine retail

The invention provides knowledge graph-based precise-recommendation technology of offline medicine retail. The technology is based on a medicine knowledge graph. The graph mainly includes entities ofdiseases, Chinese and Western medicine, people groups, health products and the like and association relationships among the entities. The association relationships mainly include contraindication relationships, interaction relationships, inclusion relationships, adjoining relationships, assistance relationships, affiliation relationships and the like. A people group set is generated through a people group label generation algorithm based on density clustering, and contains people group category labels and medicine commodities belonging to all the labels; then a target user is labeled accordingto a medicine combination bought by the user; and finally, interest degrees of the user are calculated according to a label, and a recommendation result list is generated. The technology can solve the problems which are of sparseness and single categories of user data and are encountered by medicine retail enterprises in precise recommendation, and the medicine knowledge graph on which the technology is based can also solve the problem of particularity of the medicine commodities and the problem of medicine field knowledge lacking of users. The technology can satisfy most precise-recommendation service demand in an offline medicine retail environment, and has very high market competitiveness and broad application prospects.
Owner:HUNAN UNIV

Image analysis

A method for the automated analysis of digital images, particularly for the purpose of assessing the presence and severity of cancer in breast tissue based on the relative proportions of tubule formations and epithelial cells identified in digital images of histological slides. The method includes the step of generating a property co-occurrence matrix (PCM) from some or all of the pixels in the image, using the properties of local mean and local standard deviation of intensity in neighbourhoods of the selected pixels, and segmenting the image by labelling the selected pixels as belonging to specified classes based upon analysis of the PCM. In this way relatively dark and substantially textured regions representing epithelial cells in the image can be distinguished from lighter and more uniform background regions Other steps include identifying groups of pixels representing duct cells in the image based on intensity, shape and size criteria, dilating those pixels into surrounding groups labelled as epithelial cells by a dimension to correspond to an overall tubule formation, and calculating a metric based on the ratio of the number of duct pixels after such dilation to the total number of duct and epithelial pixels. Other uses for the method could include the analysis of mineral samples containing certain types of crystal formations.
Owner:QINETIQ LTD

Lightweight RFID group label authentication method based on cloud database

The invention provides a lightweight RFID group label authentication method based on a cloud database, aiming at solving the technical problem that a shared key of the cloud database and a group label to be authenticated has update desynchronization and increasing the efficiency and accuracy of authentication at the same time. The method comprises the following implementation steps: (1) a reader broadcasts an authentication request to a group label to be authenticated; (2) the group label to be authenticated gives a response, and the reader forwards the response to the cloud database; (3) the cloud database verifies the identities of the reader and the group label to be authenticated; (4) the cloud database eliminates illegal invalid labels and sends the legal label information to the group label to be authenticated; (5) the group label to be authenticated authenticates the cloud database; (6), the group label to be authenticated eliminates the illegal invalid labels; (7) the cloud database updates the shared key; and (8) the authenticated group label updates the shared key and verifies a key authentication message. According to the lightweight RFID group label authentication method provided by the invention, the two-way authentication between the cloud database and the group label to be authenticated can be realized, and high safety can be achieved.
Owner:XIDIAN UNIV

Bioanalytical assay

The present invention relates to a nanoparticle comprising a specific binding reactant, said nanoparticle being useful for determining an analyte to which analyte or complex comprising said analyte said binding reactant is specific. Characteristic for the nanoparticle is that the diameter of said nanoparticle is less than 200 nm, said nanoparticle is coated with multiple said specific binding reactants to the extent that the affinity constant of said nanoparticle towards said analyte essentially exceeds that of free said binding reactant towards said analyte and/or the association rate constant between said nanoparticle and said analyte essentially exceeds the association rate constant between free said binding reactant and said analyte; and said nanoparticle comprises a detectable feature. The invention also relates to biochemical assays using said nanoparticle. The assay further relates to a proximity based homogenous assay comprising a first group labeled with an energy donating compound (donor) and a second group labeled with an energy accepting compound (acceptor), wherein the donor is luminescent and has a long excited state lifetime and the acceptor is luminescent having a short or long excited state lifetime or the acceptor is non-luminescent, and the increase or decrease, respectively, in the energy transfer from the donor to the acceptor resulting from shortening or lengthening, respectively, of the distance between said groups, is measured. Characteristic for the assay is that the donor is a nanoparticle.
Owner:INNOTRAC DIAGNOSTISC

Online prediction method and system for remaining service life of hard disk equipment

The invention discloses an online prediction method and system for the remaining service life of hard disk equipment, and belongs to the technical field of computer storage. According to the invention, SMART information and I/O state information of hard disk equipment are taken as the basis; remaining service life online prediction of the hard disk equipment is carried out, SMART data records reliability indexes of multiple hard disk operation states, I/O state information comprises time consumed by an I/O request on the hard disk equipment, and time irrelevant to the service life of the harddisk equipment is removed; based on the collected I/O state information, a plurality of derivative variable attributes are generated, and the derivative variables are strongly related to the service life of the hard disk and reflect the internal relation between the hard disk state information and faults; group label assignment is adopted, the training effect is prevented from being affected by using temporary variables with large changes, a bidirectional long-short-term memory neural network is selected as a prediction model, a current value is reasonably predicted in combination with front and back hidden layers, the root mean square error and the average absolute error are effectively reduced, and therefore the hard disk life prediction precision is improved.
Owner:HUAZHONG UNIV OF SCI & TECH

RFID group label authentication protocol based on Hash function

ActiveCN110190965ARandom number increaseUser identity/authority verificationHash functionAnonymity
The invention discloses an RFID group label authentication protocol based on a Hash function. The RFID group label authentication protocol comprises the following steps: step 1, a reader sends an inquiry request message to a label in a reading range of the reader; step 2, the reader sends the response messages of all the tags to a background database; step 3, the background database determines a group identifier and an invalid identifier of the label according to the label response message sent by the reader, and selects one group identifier; 4, the background database authenticates all the labels in the selected group; 5, the group label authenticates the background database; and step 6, the group identifier is updated by the group label and the background database. A one-way hash function is adopted to encrypt a message needing to be transmitted, and a random number is used to randomize the transmitted message, so that anonymity and non-traceability of the label are realized; and meanwhile, the new and old group identifiers are stored in the background database, so that the method can well resist the desynchronization attack. A timeout retransmission mechanism is adopted to ensure that the response messages of all the tags in the group are received, and the integrity of the tags in the group is ensured.
Owner:XIDIAN UNIV
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