2331 results about "Data identification" patented technology

Systems and methods for managing electronic data are disclosed. Various data management operations can be performed based on a metabase formed from metadata. Such metadata can be identified from an index of data interactions generated by a journaling module, and obtained from their associated data objects stored in one or more storage devices. In various embodiments, such processing of the index and storing of the metadata can facilitate, for example, enhanced data management operations, enhanced data identification operations, enhanced storage operations, data classification for organizing and storing the metadata, cataloging of metadata for the stored metadata, and/or user interfaces for managing data. In various embodiments, the metabase can be configured in different ways. For example, the metabase can be stored separately from the data objects so as to allow obtaining of information about the data objects without accessing the data objects or a data structure used by a file system.

The invention discloses a system for enhancing trust in transactions, most particularly in remote transactions between a plurality of transactional parties, for instance a seller and buyer(s) of goods and/or services over a public computer network such as the internet. Trust is disclosed to be a multivalent commodity, in that the trust that is to be enhanced relates to information about the subject matter of the transactions (e.g., the suitability of the goods and services sold), the bona fides of the supplier of the goods and services, the appropriateness of a pricing structure for a particular transaction or series of transactions, a quantum of additional transactional value that may be imparted to the transactional relationship, security of information exchange, etc. An important contributor to trust for such aspects of the transaction is disclosed to be the use of highly-secure steganographic computer processing means for data identification, authentication, and transmission, such that confidence in the transaction components is enhanced. By providing an integrated multivalent system for enhancing trust across a variety of categories (for a variety of transaction species, including those in which the need for trust is greater on the part of one party than of another, as well as those in which both require substantial trust enhancement), the invention reduces barriers to forming and optimizing transactional relationships.

The various embodiments herein include operate to identify, consolidate, and reduce redundant backup data storage. One embodiment includes storing data blocks and first signatures of data chunks of each stored data block, the first signature of each data chunk including a reference to a storage location of the data chunk within a stored data block, the stored data blocks including data blocks of previous and recent backup sessions. Some embodiments further include storing second signatures in a second signature repository, where the second signatures are calculated based on determined boundaries of the first signatures from previous backup sessions. At least one of the second signatures is calculated based on at least two first signatures, and in the range of 32 to 64 first signatures in some embodiments. Some embodiments may identify data chunks of the recent backup session present in the stored data blocks prior to the recent backup session.

The invention relates to data identification, in particular to a bimodal face authentication method with a living body detection function and a system. The authentication method of the invention comprises the following steps: A. establishing a database of visible light training images and near-infrared training images of known faces; and B. simultaneously collecting visible light images and near-infrared images of the heads of people to be authenticated. The invention also provides a bimodal face authentication system with a living body detection function. The invention has the beneficial effects that combined identification with the bimodal characteristics of face near-infrared images and face visible light images is adopted, as a result, the identification and authentication accuracy is improved, identification failure in the case of major changes of faces is avoided; and in addition, a living body detection module is utilized to effectively prevent personators from using photos or models to deceive others.

The invention discloses a method and a device for data identification based on a multitask deep neural network. The method comprises the following steps of: step 1, establishing the multitask deep neural network; step 2, regarding the two adjacent layers of the multitask deep neural network as a limited Boltzman machine, and pre-training the multitask deep neural network by a method of training layer by layer without supervision from bottom to top, so as to obtain an initial connection weight between the adjacent layers; step 3, minimizing a target function about the network weight with supervision by virtue of a back propagation algorithm, so as to obtain an optimized network weight; and step 4, inputting to-be-identified data in the multitask deep neural network with the optimized network weight, so as to obtain an output layer node value, thus obtaining the type of the to-be-identified data according to the output layer node value. In the method, relevance among different labels is excavated by virtue of the neural network, so that a high image labelling accuracy can still be ensured in large-scale image labelling with a high label quantity.

Disclosed herein is an image displaying method for a head-mounted type display unit which includes a frame of the glasses type for being mounted on the head of an observer, an image display apparatus attached to the frame, and a control section for controlling image display of the image display apparatus. The image display apparatus includes an image forming apparatus, and an optical apparatus. The image displaying method includes the steps of: storing a data group configured from a plurality of data in a storage section; adding a data identification code to each of the data; sending a designation identification code and display time information at predetermined intervals of time; and reading out the data whose data identification code coincides with the received designation identification code from the storage section and controlling the image forming apparatus to display an image based on the read out data.

The present invention discloses a double-layer defense method facing a power system false data injection attack, comprising an upper-layer defense policy and a lower-layer defense policy. In the upper-layer defense policy, based on internal defense means of a power system, methods such as bad data identification, injected power detection, and the like are mainly comprised, and injected false datais preliminarily detected, to generate attack space; and in the lower-layer defense policy, based on redundancy measurement defense means, a configuration position of a measurement apparatus is optimized by using a two-person zero-sum game theory according to an attack range that can be defended by the measurement apparatus, to make the measurement apparatus to implement an optimal defense capability on an attack behavior that is not detected by the upper-layer policy. The double-layer defense method facing a power system false data injection attack is used to assist a defender in establishinga power system security defense counterattack system.

The invention discloses a data read-write method and a distributed storage system. A specific implementation way of the method comprises the following steps: receiving a processing request, including a data identification of fragment data on the fragment data, transmitted by a client by a fragment server; on the basis of a hash table, for indicating a corresponding relationship between the data identification of the fragment data and a data index, loaded to an internal memory in advance, processing the processing request to obtain a processing result; and transmitting the processing result to the client. Reading and writing of the data is achieved through the hash table loaded to the internal memory; the processing time of a reading request on the data is close to the ultimate performance of a distributed file system; and the time consumed by a writing request on the data is close to the time consumed for writing the distributed file system in an additional writing manner, so that the performance of the distributed storage system is improved; meanwhile, the data are stored only by the distributed file system; the distributed storage system has the reliability same as that of the distributed file system; and the reliability of the distributed storage system is improved.

The invention discloses a storage system and a method based on a solid state medium. The storage system comprises at least one identification method of cold-hot data, the identification method is used for identifying the state of a logic page, and the state at least comprises a cold data state and a hot data state; the identification method comprises the following steps: if the logic page is updated for one or multiple times by a host in a preset time, judging that the logic page is in the hot data state; otherwise, if the logic page is not updated by the host for a long time, and the updating is carried out for one or multiple times to the storage physical address of the logic page by the action of a garbage recycle and abrasion balancing unit, judging that the logic page is in the cold data stage. According to the storage system and the method based on the solid state medium, the performances (reading and writing speeds and bandwidth) of the solid state storage can be improved, and the purpose of achieving maximal service life of the solid state storage system is realized by the reduction of the written data.

The invention discloses a method for detecting a bot network and a system thereof, which belong to the field of computer security. The method comprises the following steps: first, extracting IRC protocol data from a network data packet; then, matching the protocol data with feature codes in a data feature bank to acquire a bot network data packet; dividing the bot network data packet, and linking the bot network data packets from the same bot network; finally, determining a control server, a bot computer and a bot network control computer from the same bot network according to the divided bot network data packets, thereby describing the topology of the bot network. The system comprises a network data analysis module, a bot network data identification module and a bot network data deep dig module. Compared with the prior art, the invention can analyze and defense the whole bot network integrally, and has the advantages of better defense effect, wider defense range, higher efficiency and better traceability.

An application integration driver infrastructure for facilitating the use of a distributed directory running in a computer network is provided. The infrastructure can transform specific directory events into a vendor-neutral data identification system and then use vendor-neutral transformation technologies to transform the neutral data identification into a specific application's data format, and vice-versa. The infrastructure receives an event from the distributed directory into a markup language generation system, such as an extensible markup language (“XML”) generator. The XML generator converts the event into XML data and provides the XML data to a transformation processing system, such as an extensible transformation language (“XSLT”) processor. The XSLT processor transforms the XML data to a predetermined format. The format can be dictated by a stylesheet provided to the XSLT processor, the stylesheet being responsive to requirements of a computer application. The transformed data is then provided to the application for the application to use in a conventional manner. The application may use an application shim to convert the transformed data into a native application program interface (“API”) for the application.

An embodiment of the invention discloses a processing method and a processing device of buried-point data, a server and a client. The processing method comprises the steps that: the client obtains application interactive data according to a preset buried-point policy, and generates buried-point data according to the application interactive data, wherein the buried-point data comprises a buried-point unique identifier generated according to a predetermined method; the client transmits the buried-point data to the server; the server associates the buried-point unique identifier in the buried-point data with a determined service scene identifier, and generates mapping relation data; the client transmits buried-point data to be identified to the server; and the server performs identification conversion operation from the buried-point unique identifier to a service scene based on the mapping relation data. By utilizing the processing method, the processing device, the server and the client, the buried-point data identification conversion operation can be simplified, the terminal buried-point error rate and the conversion error rate of converting the buried-point data into the service scene by the server are decreased, the manual point burying, identification and check costs are reduced, and the processing efficiency and identification effect of the buried-point data are improved.

The invention relates to a device and a method for acquiring product coded identifier information. The device comprises a data acquisition unit, a data identification unit and a control unit, wherein the data acquisition unit is positioned above a convey belt and comprises an image device, a lighting device and a position photoelectric switch; the image device is used for photographing product coded identifier to obtain image data; the lighting device is used for irradiating the product coded identifier; the position photoelectric switch is used for sensing the position of the product on the convey belt; the data identification unit is used for identifying and processing the image data acquired by the data acquisition unit to obtain the product coded identifier information and storing the information and is also connected with the image device and the control unit respectively through a data line; and the control unit is used for controlling the data acquisition unit, and connected with the data identification unit, the image device, the lighting device and the position photoelectric switch respectively through data lines. The invention also provides the method for acquiring the product coded identifier information.

The invention discloses a power system load data identification and recovery method. Firstly, according to user historical load data, the number of clusters and initial cluster centers of sample data are determined on the basis of the hill climbing method; secondly, the final cluster center and the characteristic curve of the historical load data are obtained on the basis of the fuzzy C-means clustering algorithm; thirdly, each kind of load characteristic curve is processed, and the feasible region interval where normal data of the load curve is located is obtained; fourthly, according to correlation coefficients with the load characteristic curves, the category to which a to-be-tested load curve belongs is determined; finally, on the basis of the feasible region interval and the to-be-tested load curve whose category is judged, bad data of to-be-tested load data is identified and corrected. According to the method, the fuzzy C-means algorithm serves as the basis, the hill climbing function method is used, the number of clusters and the initial cluster centers are determined at the same time to improve clustering efficiency, and the initial cluster center determination problem and identification effect judgment randomness problem of bad data are solved.

The invention provides a voice controlled television which comprises a voice data processing module, a voice data identification module, and a control module. The voice data processing module is for receiving voice data acquired and transmitted by a voice data acquisition module and for converting the voice data to voice data in string format when a voice identification search function is started; the voice data identification module is for identifying the voice data in string format as corresponding text information; and the control module is for performing corresponding search with a network according to the text information and for transmitting the search results to a display module of the television to display the search results. Correspondingly, the invention further provides a voice controlled television system and a method for controlling the television through voice. With the adoption of the invention, the operation of a user is simplified, and the television is intelligent and humane.

A method of geodetic information acquisition and a computer program product having computer code for performing the method are provided. The method includes identifying a file having multiple records, where the records contain spatially referenced data. The records are classified into header records and data records. Each data record is divided into fields. Patterns of fields consistent with sets of the data records are identified. The records are associated with a format based on the patterns of fields. At least some of the spatially referenced data is extracted from the records according to the format.

The invention discloses a method for processing a terminal scheduling request, a system thereof and a device thereof. The method comprises the following steps that a scheduling server receives a scheduling request sent by a terminal, wherein the scheduling request comprises the data identification of a terminal request, then the network protocol IP address of the terminal which sends a scheduling request is determined, the state information of the terminal is obtained according to the identified IP address, according to the determined state information, a specified amount of content distribution nodes (CDN) is distributed for the terminal, the terminal selects one node to process data request of the terminal from the distributed content distribution nodes (CDN), wherein the content distribution nodes are nodes which store data corresponding to the data identification. Compared with the prior art, according to the scheme, the scheduling server can distribute a plurality of content distribution nodes for the terminal according to the state information of the terminal, the terminal selects one node to process data request of the terminal, and the efficiency of the distributing the content distribution nodes is raised.

The invention provides a method for data synchronization of multi-application systems for unifying user authentication, which comprises that: a first application system verifies identification of a user, if the authentication is passed, the first application system stores user authentication information to generate unique identification of the user authentication information; a data operation request initiated by the first application system is received, corresponding data operation is executed according to the data operation request, and corresponding data operation information is recorded into a trigger event table; the data operation information in the trigger event table is converted according to the data identification requirement of a second application system, and is sent to the second application system; and the second application system extracts the user authentication information for the user authentication according to the unique user identification of the user, and the corresponding data operation is executed according to the converted data operation information and a synchronous operation result is returned if the user is lawful. The method can simply and flexibly realize the user synchronous logon and data synchronous operation between a plurality of application systems, and improves the efficiency and the safety.

The invention relates to a system for identifying the relationship among a user group and users by the aid of user feature data, which comprises a user data warehouse, an intermediate data acquisition and storage device, a feature data acquisition and storage device, a feature data identification and analysis device and a display output device, wherein the user data warehouse is used for storing original user data; the intermediate data acquisition and storage device is used for extracting data related to user features from the user data warehouse; the feature data acquisition and storage device is used for acquiring the user data processed by the intermediate data acquisition and storage device and converting the acquired user data into the user feature data; the feature data identification and analysis device is used for analyzing and processing the user feature data stored by the feature data acquisition and storage device and identifying the relationship among the user group and the users; and the display output device is used for outputting corresponding results. The invention further discloses a method for identifying the relationship among the user group and the users by the aid of the user feature data. The system and the method realize identification of the user features and the relationship.

The invention relates to a robust state estimation method in an electric power system based on exponential type objective function, belonging to the field of electric power system dispatching automation. The method comprises the following steps: building a new state estimation mathematical model of the exponential type objective function according to the electric network model of the actual electric network and real-time measuring data; estimating the busbar voltage and phase angle of the electric network, thus calculating the active power and reactive power of the circuit, a transformer, a generator, loads and other devices. The invention can automatically realize that the impact of measurement with big errors on the objective function tends to zero, while the impact of correct measurement on the objective function tends to one. Therefore, the state estimation algorithm proposed in the invention can process in the absence of bad data identification, thus the invention has convenient realization and high computing efficiency; furthermore, if the system is absent of bad data, the estimated performance in the invention is similar to the classical weighted least squares method.