197 results about "Identification scheme" patented technology

The content metadata directory system connects consumers of identified content to managed metadata databases and other digital resources. The system manages links between identifiers in content objects and metadata sources. It supports a variety of different type of content identifiers and allows for overlap among different content identification schemes. One method of associating a content object with metadata uses a combination of a content identifier and a bounding identifier to enable handling of disparate sets of content identifiers for content objects with potentially conflicting content identifiers. The method receives a content identifier for a content object from among a set of content identifiers and provides a unique bounding identifier for the set of content identifiers. This unique bounding identifier is used in combination with the content identifier to form a globally unique identifier for the content object. This globally unique identifier is associated with a metadata source, which enables routing of a user to the metadata source.

In an integrated circuit (IC) adapted for use in a stack of interconnected ICs, interrupted through-silicon-vias (TSVs) are provided in addition to uninterrupted TSVs. The interrupted TSVs provide signal paths other than common parallel paths between the ICs of the stack. This permits IC identification schemes and other functionalities to be implemented using TSVs, without requiring angular rotation of alternate ICs of the stack.

The embodiment of the invention discloses an automatic identification system and method for commodities based on image feature matching, which are used in the field of information systems and are used for overcoming the defect of the traditional bar code process for commodity feature identification in a commodity sales system so as to provide an accurate real-time commodity feature identification scheme. The system comprises an image processing unit and a commodity information system, wherein the image processing unit is used for collecting the image data of the current commodity in real time and processing the image data of the current commodity to extract image feature information; the commodity information system is used for storing the image feature information of the commodity, and looking up and matching the image feature of the current commodity according to the image feature information of the commodity, which is collected in real time, and the current commodity is identified. In the automatic identification system, the image processing unit is used for collecting commodity images, processing and communicating, the commodity price is synchronously identified by the image identification process, and thus the automatic identification system has the advantages of high identification speed, high precision and favorable popularization and application values.

The invention provides for robust efficient distributed generation of RSA keys. An efficient protocol is one which is independent of the primality test "circuit size", while a robust protocol allows correct completion even in the presence of a minority of arbitrarily misbehaving malicious parties. The disclosed protocol is secure against any minority of malicious parties (which is optimal). The disclosed method is useful in establishing sensitive distributed cryptographic function sharing services (certification authorities, signature schemes with distributed trust, and key escrow authorities), as well as other applications besides RSA (namely: composite ElGamal, identification schemes, simultaneous bit exchange, etc.). The disclosed method can be combined with proactive function sharing techniques to establish the first efficient, optimal-resilience, robust and proactively-secure RSA-based distributed trust services where the key is never entrusted to a single entity (i.e., distributed trust totally "from scratch"). The disclosed method involves new efficient "robustness assurance techniques" which guarantee "correct computations" by mutually distrusting parties with malicious minority.

The invention belongs to the filed of visual navigation, and discloses a cooperative target designing and locating method for unmanned aerial vehicle autonomous landing. The method is based on the principle of being simple in structure and convenient to identify, having direction guidance, and facilitating accurate locating under the affine transformation condition, the shape, size, color, position arrangement and radiation band and power of the cooperative target are designed, and then an identification scheme of the cooperative target is designed. The identification scheme comprises 5000-meter far distance naval vessel position detection, 1000-meter middle distance runway plane locating and 500-meter near distance vessel landing position locating. By means of the cooperative target designing and locating method, safety and success rate of unmanned aerial vehicle autonomous landing can be improved, and the designed cooperative target is convenient to identify and locate and high in robustness. By means of computer view, the cooperative target can be fast identified, and unmanned aerial vehicle autonomous landing is achieved.

The invention relates to a friction parameter identification method for an aerial remote-sensing inertial stabilization platform. The friction parameter identification method comprises the following steps of: establishing a LuGre friction model of the inertial stabilization platform based on the analysis of sinusoidal response curves of systems; and obtaining parameters of the LuGre friction model by respectively designing parameter identification schemes to three frame systems of the inertial stabilization platform and utilizing a two-step-identified and dynamic-parameter-optimized friction parameter identification method. According to the friction parameter identification method, the parameters of the LuGre friction model can be accurately obtained, the friction moment compensation can be realized, and the control precision and the stabilization precision of the systems of the inertial stabilization platform can be improved; the friction parameter identification method can be widely applied to the systems of various remote-sensing inertial stabilization platforms.

The invention discloses a pedestrian abnormal behavior identification method based on 3D convolution. The pedestrian abnormal behavior identification method comprises the steps of S1, creating a dataset containing abnormal behaviors such as fighting, dog walking and falling; S2, in combination with the latest video behavior identification scheme, constructing a 3D convolutional neural network considering both precision and speed; S3, preprocessing the images in the data set, and sending the preprocessed images into a 3D convolutional neural network to obtain a video abnormal behavior recognition model; And S4, inputting a tested pedestrian monitoring video, and outputting an abnormal behavior type. According to the identification method provided by the invention, the lightweight 2D convolutional network MobileNet idea is migrated to the 3D network, so that the calculation cost can be reduced on the basis of maintaining the identification performance; Meanwhile, a self-adaptive poolinglayer and a sparse time sampling strategy are adopted, so that a large amount of redundant information and fuzzy noise contained in continuous frames can be reduced.

The geometric cost-semantic identification cost amalgamated off-line hand-written Chinese character segmentation method belongs to the field of character identification technology. Said method includes the following steps: firstly, analyzing row image of inputted off-line hand-written Chinese character, extracting stroke segment, combining stroke segments into subcharacter block, at the same time giving out subcharacter blocks combined geometric cost, utilizing these geometric costs to generate several possible candidate segmentation methods, evaluating every method by using binary syntactic model of language to obtain semantic-identification cost of every segmentation method, finally integrating geometric and semantic identification costs to obtain optimum segmentation identification scheme.

Systems and/or methods for storing and/or retrieving assets in connection with an extremely large scale computer storage system are provided. An asset catalog may comprise a plurality of asset catalog entries stored according to at least one schema and corresponding to a plurality of assets. A storage architecture may be capable of storing the plurality of assets, with the storage architecture comprising a storage locator and a federator. An item identification scheme may be capable of providing identifiers to reference, locate, and/or access said assets and/or said asset catalog entries stored in the asset catalog in the storage architecture. The computer storage system may be scalable essentially without limitation while maintaining asset storage and retrieval flexibility and substantially obsolescence-proof survivability of assets.

The invention provides technology which is simple and convenient to operate and can easily maintain and expand a bar code acquired by a mobile phone and discloses a method and a device for acquiring the bar code from a browser of the mobile phone, wherein the mobile phone comprises a functional part capable of acquiring the bar code. The method comprises the following steps that: a page server sends a page code (S12) to the browser, wherein the page code comprises a command for indicating the browser to call the functional part to acquire the bar code; and the browser receives a page code (S14), judges that the command is triggered (S18), and calls the functional part to acquire a bar code (S20) according to the command. Preferably, the command is realized by a uniform resource identity scheme. According to the method and the device, the related application of the bar code and hypertext markup language (HTML) pages and the like are conveniently and easily developed; adjustment and expansion of application and service functions can be realized by upgrading the page code on the server, so that the maintenance and upgrading of the mobile phone are avoided; and a user directly acquires the bar code by using the browser, the learning threshold is low, the bar code is acquired quickly and conveniently, and the user experience is improved.

The invention belongs to the field of artificial intelligence, and discloses a certificate information identification method, device and equipment, and the method comprises the steps: obtaining to-be-identified image information of a to-be-identified certificate of a user through a camera; determining the certificate type of the to-be-identified certificate; when the certificate type of the to-be-identified certificate is in the mature database, calling a mature certificate identification scheme corresponding to the certificate type of the to-be-identified certificate from the mature database,and identifying the to-be-identified image information; when the certificate type is not in the mature database, calling a certificate identification prediction model corresponding to the certificatetype of the to-be-identified certificate from the immature database, and identifying the to-be-identified image information; And adding the identified certificate information to the information dataof the corresponding user. The certificate type identified by the scheme is relatively comprehensive, manual participation is not needed in the identification process, the certificate identification time is saved, and the certificate identification efficiency is improved.

An insertion and identification scheme between the main unit of a Personal Digital Assistant (PDA) or handheld device and an option pack. Upon insertion, the hardware interface invokes a device manager on the main unit that interrogates the option pack on its features without significantly impacting battery life. The interrogation includes data on drivers, applications, configuration and miscellaneous requirements of the option pack. This identification process allows the option pack to store information, drivers and applications on the option pack, so the main unit does not have to use its memory to store information on a large number of option packs. Further, the insertion scheme provides a means of checking the power availability in the main unit before allowing the option pack to fully power-on.

The invention provides an identification method and a device of a cheating application program. The method comprises obtaining current behavior characteristic information produced by the cheating application program to be identified during operation, and identifying the cheating application program according to the current behavior characteristic information, wherein the type of the current behavior characteristic information corresponds to the type of the cheating application program. By adopting the technical scheme, the problems that cheating application program identification schemes have difficulty in identifying cheating application programs and are likely to make erroneous judgment in relevant technologies are solved, so that precise identification of cheating application programs is realized.

The invention, which relates to the field of the anti-spam mail technology, discloses a user communication behavior-based identification method, identification system, and filter system of a spam mail. The method comprises the following steps that: e-mail addresses of an addresser and an addressee of a received e-mail are extracted; according to the e-mail addresses of the addresser and the addressee, whether a user communication coefficient of the addresser relatively to the addressee exists is searched in a user communication coefficient database, wherein the user communication coefficient is constructed based on the user communication behavior and expresses a connection degree between the addresser and the addressee; if the corresponding user communication coefficient exists, whether the e-mail is a spam mail for the addressee is determined according to the user communication coefficient. According to the user communication behavior-based spam mail identification scheme, the easy avoidance can be prevented; the individual communication relation of the user is fully considered; and the accuracy of identification and filtering of the spam mail is improved.

The invention provides a multi-robot synergistic system static stiffness real-time performance evaluation method without additional devices. The method comprises the steps that based on a robot kinematics transfer matrix and a robot end operation stiffness matrix, a robot joint stiffness identification scheme is established and implemented, and accurate robot practical joint stiffness is acquired; by employing robot system software to feed back real-time joint angles, a robot jacobian matrix is established, and a multi-robot synergistic system overall stiffness matrix is formed through the robot jacobian matrix and joint stiffness parameters identified by a robot; robot real-time stiffness is subjected to visual characterization through robot stiffness matrix ellipsoids, and the maximum value of system stiffness matrix characteristic values is selected as an evaluation index for carrying out robot stiffness evaluation; finally, through a GUI design interface, a stiffness performance evaluation visual interface is designed based on a double-KUKA KR-16 robot synergistic system.

A client machine writes to and reads from a virtual disk on a remote storage platform using a storage protocol. Metadata is generated and is stored in replicas on different metadata nodes of the storage platform. A modified log-structured merge tree is used to store and compact string-sorted tables of metadata. During file storage and compaction, a consistent file identification scheme is used across all metadata nodes. A fingerprint file is calculated for each SST file on disk that includes hash values corresponding to regions of the SST file. To synchronize, the fingerprint files of two SST files are compared, and if any hash values are missing from a fingerprint file then the key-value-timestamp triples corresponding to these missing hash values are sent to the SST file that is missing them in the SST file is compacted with the missing triples to create a new version of the SST file. The other fingerprint file is then analyzed the same way.

The invention relates to an inventory management system based on a strategy module. The system comprises an image collection unit, an image identification unit, calculation equipment and a strategy unit, wherein the image identification unit responds to the state of goods held by an access mechanism to identify the change of at least one inventory position of a goods shelf around the absolute position of the access mechanism and/ or positioned on a preset relative position; the calculation equipment judges a corresponding relationship between the changes of the goods and the inventory positionto generate inventory information; the calculation equipment records the inventory information of each type of goods in the historical information of each type of goods in a certain period; in addition, after analysis is carried out on the basis of the historical information and the inventory information, the inventory state information of each type of goods is obtained; and the strategy unit triggers and regulates the collection scheme of the image collection unit and/ or the identification scheme of the image identification unit on the basis of the inventory state information.

The embodiment of the invention discloses a table identification method and device, equipment and a medium, and relates to the field of data processing technologies and cloud computing. The table identification method comprises the following steps: detecting a table on a target picture to obtain a candidate table identification result; extracting a merging feature of the candidate table identification result, and determining to-be-merged rows in the candidate table identification result by utilizing the merging feature; extracting direction features of the to-be-merged rows, and determining amerging direction of the to-be-merged rows by utilizing the direction features; and according to the to-be-merged rows and the merging direction of the to-be-merged rows, adjusting the candidate tableidentification result to obtain a target table identification result. According to the embodiment of the invention, the problem that the identification result is inaccurate in the existing table identification scheme is solved, and the table identification accuracy is improved.

A method for simultaneously reading a serial number and/or other information from multiple colliding RF signals from RF identification tags (1-5) requires minimal additional logic in the tag's processor and provides for a powerful and rapid sorting and identification scheme. This technique employs a primary communication channel and multiple secondary channels, A locator or reader unit (6) interrogates the tags (1-5), which respond with an RF signal. Upon receiving multiple signals, the locator or reader unit (6) commands the RFID tags (1-5) and requires them to transmit another response, which is transmitted in one of the secondary channels based on a portion of their unique serial identification number, thereby forcing the tags (1-5) to sort in the secondary channels. These secondary channels are assigned using a portion of the unique serial identification numbers for the tags. The reader (6) then detects an acknowledgment in the occupied secondary channels and commands a tag (1-5) in a particular channel to move to the primary channel. Once the signal is transmitted in the primary channel, the reader (6) reads the identification number. If there is further collision, the collided tags are returned to the secondary channel and sorted again using a different portion of their ID number. This process continues until all the tags (1-5) are sorted and identified. Once the tags (1-5) are all sorted, the tags (1-5) are assigned yet another channel distinct from the secondary channels that are used for sorting.

The invention provides a fingerprint identification method, device and terminal. The fingerprint identification method comprises the following steps: acquiring m pieces of fingerprint sliding image sequences; splicing m pieces of fingerprinting image sequences into fingerprint images S1, S2, ..., Sm; the fingerprint templates T1, T2, ..., Tn are obtained by matching the fingerprint image with the fingerprint templates T1, T2, ..., Tn. The invention combines sliding registration and pressing recognition, sliding registration and then merging the acquired fingerprint image sequence into large fingerprint images S1, S2, ..., Sm, and then fingerprints used for pressing recognition are cut out in these fingerprint images. The user can finish the registration of the fingerprint template by sliding the finger at the time of registration, and only need to press the fingerprint once to complete the fingerprint recognition, and the organic integration of the prior art fingerprint identification scheme is realized.

The invention provides an unmanned aerial vehicle identity identification method and a management platform system. The unmanned aerial vehicle identity identification method comprises steps that two-dimensional code information used for indicating an unmanned aerial vehicle identity is acquired; the two-dimensional code information is decoded, and the identity identification code of the unmanned aerial vehicle is acquired; the identity identification code is parsed to acquire the identity information of the unmanned aerial vehicle; the identity information is matched with the identity information corresponding to the various unmanned aerial vehicles pre-stored in a record database; when the matching succeeds, the successful unmanned aerial vehicle identity identification is determined; when the matching fails, the failed unmanned aerial vehicle identity identification is determined. By adopting an unmanned aerial vehicle identity identification scheme provided by the invention, illegal flight and disordered flight are effectively struck, and the legal flight of the unmanned aerial vehicle is guaranteed.

The invention discloses an identification method of DFIG wind farm equivalent parameter. The identification method includes the following steps: firstly, a volume weighting method is used to equate parameters of wind speed, wind turbines and electric generators in a wind farm roughly; Then whether a DFIG wind farm equivalent parameter is a dominant parameter or a non-dominant parameter is determined by using a sensitivity analysis method; Then the volume weighting method continues to be used to obtain an equivalent result of the non-dominant parameters, the equivalent result is taken as an initial value and the dominant parameters are optimized and identified by using genetic algorithm, and an optimized result of the equivalent parameters is acquired. The identification method is a final identification scheme of parameters equivalence, which can obtain a more accurate equivalent model of DFIG wind farm and further improve the credibility of simulation results.