35 results about "Specific labelling" patented technology

An in vivo method for labelling a protein having an N-terminal cysteine is disclosed. A probe comprising a thioester group and a detectable label is introduced into a cell expressing the N-terminal cysteine protein, allowing for the N-terminal cysteine to cleave the thioester bond and resulting in the label being covalently attached to the N-terminus of the protein by an amide bond.

Methods and systems for the negotiation of a population of RFID tags with improved security is provided. In one aspect, tags are singulated without using information that directly identifies the tags in the tag population. A key is generated to identify each RFID tag of the population of RFID tags. The generated key does not include bits identifying an item with which the particular RFID tag is associated. An algorithm is operated to identify one or more tags in the population of RFIDs tags using the generated keys. In another aspect, frequency hopping and / or spread spectrum techniques are used to provide improved security while negotiating tags. In another aspect, the reader causes the tags to scroll series of bits back to the reader for each bit sent to the tags to provide improved security.

The invention discloses a multi-label classifier constructing method based on cost-sensitive active learning. Specific label information of each sample is directly used, an initial classifier is trained on a marked set, then, learning is performed on a non-marked set through a current classifier, a certain number of sample-label pairs of non-marked samples largest in misclassification cost are selected, real label values of the selected sample-label pairs are marked and added into the marked set, and a training sample set and the classifiers are updated. According to the method, target misclassification cost can be achieved with a small number of iteration times, and learning efficiency is greatly improved; sampling granularity is shrunk to the sample-label pairs, cost for marking samples is greatly reduced, and more remarkable effect is achieved in multi-label classification with a large label number.

The invention relates to a short message confidential communication method and system based on cell phone digital fingerprint verification. The method comprises 1 that a sender inputs a cell phone number, a message, and a password, then encrypts the message and cell phone in a layered way, and transits an encrypted data packet to a message server; 2 that the server 1) decrypts a first layer after receiving the data packet in order to derive the cell phone number and saves the encrypted message data packet in a database, 2) generates a temporary page link and sends the link to a assigned cell phone number via a short message gateway, and 3) displays the decrypted message on the temporarily-generated page for a user to read; and 3 that a receiver, after receiving a short message equipped with a specific label, clicks the link, inputs the set password and may read the message after decryption succeeds. The method and system achieve protection of short message reading and time limit in reading. The page is automatically destroyed after reading and the link is permanently invalid. Thus, the message is destroyed and communication content safety is improved.

An encrypted database management system includes: a client terminal which includes a column encrypting unit that uses an encrypting key and a group generator to encrypt data of columns indicated by specific labels of externally input tables, and output it, an intra-label projection request unit that generates an intra-label key from encrypting key and label, and outputs it, and an inter-label projection request unit that generates an inter-label projection key from encrypted key, label, and intra-label key; and a database server which includes an intra-label projection unit that generates an intra-label comparison value by the action of label and intra-label key on data of columns of specific labels of encrypted tables, an inter-label projection unit that generates an inter-label comparison value by the action of the inter-label projection key on intra-label comparison value, and an encrypted table natural join unit that conducts natural joining using intra-label comparison value.

A hand-held portable reader and labeling device for interrogating data storage cartridges of the type containing an in-built memory chip having information stored describing details of data contained on the data storage medium is disclosed. The reader-labeling device comprises a processor, random access memory, printer, display, keypad, operating system, transponder, receiver and battery power supply. By scrolling a menu display, key parameters describing a data cartridge can be accessed quickly and efficiently without the need to access the data storage medium itself. A cartridge media specific label may be rapidly printed for attachment to a data storage cartridge.

The present invention therefore provides new cyanine dye reagents and methods that afford direct attachment of the cyanine dye reporter to either the N-terminus or C-terminus of a synthetic or recombinant peptide or protein and their derivatives, in a site-specific manner, coupled with purification of the resultant labelled molecule.

The invention relates to a method for establishing and searching data labels for an industrial signal source. The method overcomes the defects of difficulty of data extracting among large scale of industrial signal source of prior art. The method includes the following steps: defining industrial signal attributes of the industrial signal source, performing standardized processing on basic attributes of a plurality of industrial signal source; marking the industrial signal sources with labels, marking the industrial signal sources with business labels and specific label; establishing a multidimensional label, associating the multidimensional label information with basic attributes of the industrial signal sources; and searching the multidimensional label, based on the selecting conditions of the multidimensional label, searching industrial signal source that meets requirements. The method of the invention provides all types of labels for the industrial signal source, facilitates different users' data observation, analyze data from all kinds of angles so as to realize multidimensional observation and comparative analysis on the industrial signal data.

A method of generating at least one training data set including steps of: (a) a computing device acquiring (1) an original image and (ii) an initial synthesized label generated by using an original label and a bounding box corresponding to an arbitrary specific object (b) the computing device supporting a CNN module to generate a first synthesized image and a first synthesized label by using the original image and the initial synthesized label, wherein the first synthesized label is created by adding a specific label to the original label at a location in the original label corresponding to a location of the bounding box in the initial synthesized label, and wherein the first synthesized image is created by adding a specific image o to the original image at a location in the original image corresponding to the location of the bounding box in the initial synthesized label.

The present invention provides reagents and methods that afford direct attachment of a fluorescent acridone or quinacridone dye to either the N-terminus or C-terminus of a synthetic or recombinant peptide or protein, and their derivatives, in a site-specific manner, coupled with purification of the resultant labelled molecule.

A robotic labeling system for packages includes a package database management system including a package database storing package data and a package labeling controller communicatively coupled to the package database management system. The robotic labeling system includes a package locating system receiving locating inputs from the package labeling controller for locating the packages at a labeling station and a package identification system having a scanning device scanning an identification tag on the package to determine the package identification and orientation. The robotic labeling system includes a label application system having a labeling device and label applicator that prepares and applies a shipping label and a customer specific label to the package based on the content data stored in the package database. The robotic labeling system may verify the applied labels based on the scanned data on the package and either discharging or rejecting the package based on the scanned data.

The invention provides a cloud file management method based on a structured label and taking an object as a core, and the method comprises the following steps: S101, determining a target object, decomposing the object into a structured label tree group, and carrying out the structured label configuration of the object; s102, decomposing the file into a structured label tree group according to thecharacteristics of the file, and performing structured label configuration on the file; s103, associating the file with one or more specific label nodes in the object label configuration to form object-file label association configuration, and storing the object-file label association configuration in a database; and S104, establishing a file cloud management platform, managing objects, files andlabel data through the file cloud management platform, and jointly searching label names through a plurality of keywords to obtain a file set taking the input keywords as themes, thereby achieving thepurpose of multi-dimensional classified management of the files. According to the method, reliable file cloud platform management is adopted to meet the requirement for file integrated management, and the requirements for reliability, safety, uniqueness and the like of file management are met.

Disclosed herein are methods of expressing a heterologous nucleic acid sequence, such as a sequence encoding a detectable protein, in a primary neuron (or plurality of primary neurons) and other neurons that are monosynaptically connected to the primary neuron (or plurality of primary neurons). Such methods involve viruses (such as, rabies viruses) defective for transsynaptic transport (TST-defective virus) and in situ complementation of the defect in a manner that permits only monosynaptic transport of the TST-defective virus. The TST-defective virus and, therefore, any heterologous nucleic acid sequence it carries in its genome, are not transmitted to neurons that are not monosynaptically connected to the primary neuron (or plurality of primary neurons). Also disclosed are methods of targeting a TST-defective virus to a genetically defined primary neuron (or plurality of primary neurons). The disclosed technology enables far more specific labelling and / or manipulation of neural networks than has previously been possible.

The invention brings forward a flow table quantity optimization method for SDN in-band control network. S witches in the network are grouped, a specific label identifier is allocated to each group, and label forwarding of the control network is realized by changing a matching domain of a flow table from an IP address to a label, so that the flow table quantity of the in-band control network is reduced. The flow table quantity optimization method of the SDN in-band control network is mainly composed of a grouping algorithm module, a label distribution module and a label forwarding module. Thegrouping algorithm module achieves grouping of the switches according to the hop count from the controller, the label distribution module distributes a label to each group according to the grouping situation, and the label forwarding module generates a flow table for label forwarding. According to the invention, the problem of excessive control flow tables in a large-scale network is solved, and the use efficiency of switch flow table resources is improved.

The invention discloses a manganese metal organic framework (MOF) biological composite material and application thereof in detection of food-borne pathogenic bacteria. The manganese MOF biological composite material is formed by carrying out covalent coupling on Mn-MOF-74 nanometer microspheres and a specific biological recognition material; and the particle size of the Mn-MOF-74 nanometer microspheres is 200 to 300 nm. The manganese MOF biological composite material disclosed by the invention is an impedance type electrochemical immunosensor, which is sensitive in electrochemical impedance signal response, stable in structure and capable of specifically recognizing a target pathogenic bacterium-listeria monocytogenes, wherein Mn-MOF-74 crystals are uniform in size, good in biocompatibility and easy to modify; the prepared manganese MOF biological composite material has specific labelling capability on target bacteria and is easily reduced by hydrogen peroxide to generate manganese ions with good conductivity; and a listeria monocytogenes electrochemical detection technology developed by using the biological composite material has the advantages of simple operation, low detection limit and efficient and rapid detection process.

This invention is a functionalized diamond crystal with high dispersibility in high ionic strength solution and / or with specific targeting ability, which comprise a diamond crystal and a fatty acid layer. The fatty acid layer works a surfactant and provides a specific targeting feature for the diamond crystal. The feature of the surfactant makes the diamond crystal being easily dispersed in biological surrounding (e.g., phosphate saline buffer) and the feature of specific targeting ability provides the diamond crystal with specific recognizing specific targets. This invention allows researchers to use diamond crystal as a marker for specific labelling.

The invention relates to a gateway protection method and a data labeling method. In the gateway protection method, a legal user passes login verification of an authentication server, and the authentication server marks a specific label on an access request data packet sent by a user terminal and sends the access request data packet to a security gateway server; the domain name resolution server performs domain name resolution on the access request data packet, sends the resolved domain name information to the security gateway server, and sends an interception notification to the security gateway server if the resolution fails. And when the security gateway server works, the received access request data packet sent by any user terminal is verified, and the access with no specific label or illegal user domain name in the access request data packet is intercepted. Through dual authentication of the domain name and the identity tag, only the access request data packet which contains a specific tag and has a legal domain name can pass through the gateway, so that the gateway protection reliability is improved.

A method of site specific labelling of an interferon molecule is provided. The method comprises the steps: a) providing a label molecule comprising a PEG moiety having an aldehyde or ketone moiety; b) providing an interferon molecule having a C terminal hydrazide moiety; and c) allowing the aldehyde or ketone moiety of the PEG moiety to react with the C terminal hydrazide of the interferon molecule to form a labelled interferon molecule, which comprises a PEG moiety attached to the C terminus of the interferon molecule via a hydrazone bond. Interferon molecules labelled using such a method are also described.

The invention discloses an error intercepted word screening method and system based on an n-gram model, and relates to the technical field of network security. The method comprises the steps: acquiring audio translation text data intercepted based on an intercepted word under a specific label; processing the text data through the n-gram model, and screening out data which is not stored in the specific label from the text data as backspacing information; and determining a sentence containing the error intercepted word according to the backspacing information. The method is suitable for interception of forbidden words and sensitive words, especially for interception of the forbidden words and the sensitive words of audio translation text data, can quickly find out mistakenly intercepted sentences and mistakenly intercepted words, and can improve and optimize a forbidden word bank subsequently according to the obtained mistakenly intercepted words; therefore, the interception accuracy of the corresponding intercepted words and the overall interception accuracy are improved.

The invention discloses a hierarchical label extraction method based on a bidirectional Transformer model. The hierarchical label extraction method comprises the following steps: obtaining a feature vector through unsupervised pre-training text data; further adjusting and optimizing the feature vector by using a bidirectional Transformer model; in combination with a multi-layer label knowledge base system, performing supervised training on the nested Multi-Class classification model by utilizing softmax and a manual labeling label; and finally, outputting a hierarchical prediction label. According to the invention, a bidirectional Transformer model is adopted, and multi-level labels are combined and nested into a multi-class classification model for learning and training. According to the method, the learning of the multi-level classification labels of the text is realized, and the method can be used for automatic labeling (a plurality of specific labels in a certain field) of the network public opinion text and case analysis (layer-by-layer deepening of case skills) in a police service platform, so that the three-dimensional labeling of the text data is realized.

The invention discloses a batch processing method, system and equipment for simulating industrial high-frequency data and a storage medium. The batch processing method comprises the steps that a plurality of label points are sequenced in advance, the label points are used for being written into a data memory, and label sequencing numerical values are performed to form a set; the input data correspond to the label points in the set, and the input data are listed into a set in parallel; timing the input data, counting the time interval, calculating to obtain the data transmission rate value of the data aiming at the specific label point, and further calculating the data input rate average value; and calculating the consumed time according to a specified label value and data needing to be input through the calculated average rate value; counting the numerical value rates of different label points, and calculating the write-in rate, so as to calculate the time for the input data in the later period to provide reference for external operators.

The present invention proposes a method for optimizing the number of flow tables in an SDN in-band control network. In this method, switches in the network are grouped, and each group is assigned a specific label identifier. By changing the matching field of the flow table from an IP address to a label, The label forwarding of the control network is realized, and the number of flow tables of the in-band control network is reduced. The method for optimizing the number of flow tables in the SDN in-band control network is mainly composed of a grouping algorithm module, a label distribution module, and a label forwarding module. Labels are assigned to the group, and the label forwarding module generates a flow table for label forwarding. The invention solves the problem of too many control flow flow tables in a large-scale network, and improves the use efficiency of switch flow table resources.

A robotic labeling system includes a package locating system and a package identification system identifying a package orientation. The robotic labeling system includes a label application system having first and second label printers and first and second label applicators. The label printers are both capable of printing a shipping label and a customer specific label. The first label applicator applies a first label (either the shipping label or the customer specific label) to a first side of the package while the second label applicator applies a second label (other of the shipping label or the customer specific label) to a second side of the package different than the first side. The printing and application of the labels is based on the orientation of the package.

The invention discloses a real-time displacement measurement method based on a monocular camera. The method comprises the steps that firstly, a monocular camera arrangement position and a label pasting position are determined according to a measurement environment; the monocular camera is utilized to identify, capture and frame-select a specific label and to calculate the height of a rectangular frame; when the label moves, a tracker is used for tracking the label, the actual movement distance of the label is calculated according to the proportional relation between the height of the rectangular frame in the actual environment and the height of the rectangular frame captured by the monocular camera, and the displacement of the label is displayed in real time; and when real-time displacement measurement is carried out on the label in a night environment, the displacement measurement is carried out on the label by using a night camera carrying an infrared light supplementing module. According to the method provided by the invention, a monocular vision displacement measurement mode is effectively optimized, and stable measurement in a non-contact and night environment is realized.