68 results about "Binary large object" patented technology

A method, system, and computer program product for determining storage locations for data objects is provided. The method includes providing user-selectable options for assigning storage locations for data objects, which is based upon a minimum threshold size of the data objects defined for a storage group. The options are implemented via a binary large object storage structure (LSS)-enablement indicator. The storage locations are further defined by a view associated with storage groups within an administrative table. Upon receiving a request to store a data object that exceeds the minimum threshold size, the method includes retrieving the selected options from the LSS-enablement indicator. If the LSS-enablement indicator is enabled for a portion of the storage groups, the method includes determining whether a view for the data table of the second storage subsystem for the assigned storage group exists via the administrative table. If the view exists, the data object is stored in the second storage subsystem. Otherwise, the data object is stored in the first storage subsystem.

An automated data processing system includes a relational database engine, storage devices having a database table, registry and binary large objects created and updated by the relational database engine and a user defined function engine retrieving data elements stored in the binary large objects. The registry includes data element classifications. The database table includes relational information of the data elements, the data element classifications and pointers to the binary large objects, and the relational database engine creates and updates the binary large objects based on the database table and the registry.

A content management system is provided including a server computer and a client computer. The server includes a data repository and a stored procedure. The disclosed methodology provides a way of handling parameter passing of structured data for stored procedures in the system. The system is capable of both encoding data into a structured data format and decoding data from the structured data format. The structured data format employs a binary large object (BLOB) and character large object (CLOB) to achieve handling of fixed length binary data and variable length character data. Advantageously, the stored procedure interface need not be rewritten and customized for each stored procedure in the server.

The present application relates to a system for location measurement and night-time forward vehicle detection using a single multi-exposure camera and method thereof which use a long exposure and short exposure frame images among four exposure methods of a multi-exposure camera and applies a binarization method which use a local adaptive threshold value, and also applies a BLOB (Binary Large Objects) matching method which detects an identical candidate BLOB from a different exposure frame image thereby, enables further accurate detection and location measurement of a forward vehicle during night-time drive.

A geographic database is defined using hierarchical data trees and updated by changing selected portions of a data tree. A device defines a binary large object (BLOB) including map data as a first data tree and an update to the map data as a second data tree. The device computes a difference between the first data tree and the second data tree. The difference may include the data and links that are being updated. The device generates an update script including a sequence of edit operations needed to update the map data. The device may communicate the update script to a navigation device, which is configured to execute the update script to perform the update on a local version of the map data.

The invention discloses a security architecture for using host memory in the design of a secure element, wherein embodiments of a security architecture for securely storing applications, such as Near Field Communication (NFC) applications, in host memory of a mobile device are provided. The mobile device includes a host application processor, a non-volatile memory, a NFC controller, and an embedded Secure Element (eSE). The eSE is configured to encrypt code and state data associated with a NFC application; store the code and the state data, after having been encrypted, in the non-volatile memory as a binary large object (blob); load the blob from the non-volatile memory in response to an action performed by the host application processor or the NFC controller; decrypt and authenticate the code and the state data; and execute the code to exchange data with a contactless communication device via the NFC controller. The non-volatile memory is external to the eSE.

The invention relates to a foolproof monitoring method for an automated device and a foolproof monitoring device for the automated device. The method comprises the steps of: collecting working condition images of a field device in real time; generating a working condition template of the field device and extracting working condition characteristics of the field device; preprocessing; model matching; difference calculation; BLOB (Binary Large Object) analysis; template comparison; I/O (Input/Output) and communication; and generating a GUI (Graphical User Interface) interface. The device comprises an image sensor, a 3G/4G modulator-demodulator, WI-FI/GPS (Wireless Fidelity)/(Global Positioning System), DSP/ARM (Digital Signal Processor)/(Advanced RISC Machines) processor, an SD (Secure Digital) memory card, a field programmable module, a touch display, a Flash controller, a NORFlash, a NANDFlash, an IO module, and a serial communication module.

Embodiments of the present invention address deficiencies of the art in respect to structured content storage and provide a novel and non-obvious method, system and computer program product for managing structured content stored in a BLOB. In an embodiment of the invention, a performance optimized structured content management system can include a content repository, a content manager configured to provide access to structured content in the content repository and multiple different performance optimized containers disposed in the content repository. Each of the containers can store a portion of the structured content, and each of the containers can include a flattened form of original structured content in a primary binary large object (BLOB) and a parsed form of the original structured content in a secondary BLOB, the parsed form of the original structured content in the secondary BLOB indexing the flattened form of the original structured content in the primary BLOB.

The invention discloses an earthquake precursor data compression storage and decompression technology, and relates to a storage and data usage mode of earthquake precursor sampling data of China in a database. By directly performing binary compression and decompression on the earthquake precursor sampling data in a memory of a computer, the disc occupancy rate of the data can be greatly reduced, meanwhile, an effect of encryption can also be achieved; the technology is particularly suitable for binary compression and storage of earthquake precursor data of high sampling rate to further increase the usage efficiency of the database. The invention provides a technology for performing binary compression and storage on the earthquake precursor sampling data; the compression and the decompression of the earthquake precursor data are both directly realized in the memory of the computer; the compressed binary data is stored in a binary large object (BLOB) field of the database; and when the data is used, the compressed binary data is taken out of the database field, and then the compressed binary data is reduced by performing inverse operation of decryption and decompression, so that the defects of quickly increased disc space, low disc utilization rate, long network transmission time, poor data confidentiality and the like caused by direct storage of text data in the conventional precursor database are made up.

The invention relates to an automatic examination paper generating device and method based on binary large object (BLOB) storage and enhanced RichEdit control, which relates to an automatic examination paper generating device based on BLOB storage and enhanced Richedit control, and solves the problems of the existing examination paper generating system that a complex object is not supported, the form and flexibility of examination content are poor, and the formation detail of the examination paper is not complete. The automatic examination paper generating device is characterized in that a user database stores all user information; a subject database stores all subject names; an examination question database stores examination question content and relevant information of each examination question; a subject information database stores relevant information of examination subjects; a system management module provides a system management function; a BLOB conversion module realizes the conversion of rich text format (RTF) data stream and a BLOB; an RTF stream lead-in/lead-out module is used for leading in and leading out the RTF stream; and an examination paper generation module is used for extracting examination questions from the examination question database to generate the examination paper. The device and the method are suitable for automatically generating the examination paper.

Embodiments include methods, apparatus, and systems for storage device data encryption. One method includes encrypting data on a storage device with a key and then transmitting the key to a cryptographic module that encrypts the key to form a Binary Large Object (BLOB). The BLOB is transmitted to an array controller that is coupled to the storage device which stores the BLOB.

The invention discloses a multivariate big data fusion method and system based on a BLOB (Binary Large OBject). The method comprises the following steps that: 1) on the basis of an RDF (Resource Description Framework) data model, creating an RDF-B data model, adopting a triple form by the RDF-B model to express the attribute of each resource and the attribute value of the attribute, wherein the attribute value comprises the attribute value of a BLOB type, and the attribute value of the BLOB type comprises data contents, length, abstracts and symbol information; and 2) generating a triple for the received data by the RDF-B data model, and storing the triple into a front-end storage system, wherein if the data is of a BLOB type, the RDF-B data model generates a tetrad< handle, length, abstract and symbol> according to the attribute value of the BLOB type in the triple corresponding to the data as the attribute value of the triple information of the data, then, the triple of the data is stored into the front-end storage system, and the data contents are stored into a rear-end storage system according to the handle.

Provided is a method for executing a query in a DBMS. The method may include: receiving a query statement for requesting BLOB data serialized to a binary large object (BLOB) type and stored in a pivot table; determining name information for one or more columns generated as a result of a pivot operation included in respective pivot columns of the pivot table by querying a pivot name table for the pivot table; determining internal storage type information of the pivot table by querying a pivot meta table for the pivot table; and generating output information for the BLOB data corresponding to the query statement based on the determined name information and internal storage type information.

The invention relates to a method for supporting structured and unstructured big data fusion. The method includes the steps: creating a multi-element big data fusion model supporting BLOB (binary large object) attribute values based on an attribute graph data model; generating N-element group data from received data by the multi-element big data fusion model supporting the BLOB attribute values; judging that the generated N-element group data are of a BLOB type and storing the BLOB type attribute values at a first preset position; fusing structured and unstructured big data at the first presetposition by controlling mapping between a handle and the data content of the corresponding BLOB type attribute value. The method provides a management model STRUNS for supporting structured and unstructured multi-element data fusion and an implementation system for the STRUNS. The method can be used for integrated management and uniform query of multi-element heterogeneous data including a text type, a Boolean type, a numeric type, a time type and the BLOB type, and a theoretical model and a practical system are provided for big data fusion management. The invention further relates to a device for supporting structured and unstructured big data fusion.

The invention discloses a visual inspection method for an SIM (Subscriber Identity Module), and the method comprises the following steps of: irradiating the front side and back side of the SIM by using a light source, and acquiring a front side image or a back side image of the SIM; carrying out threshold segmentation on the front side image or the back side image to obtain a plurality of connected regions, marking the connected regions by using a BLOB (Binary Large Object) analysis method, and calculating characteristic parameters of the connected regions of the front side image; and when the difference between the characteristic parameters of the connected regions of the front side image or the back side image and a standard characteristic parameter is smaller than a preset threshold value, determining that the front side or back side of the SIM as a good product. By utilizing the visual inspection method, the front side and back side of the SIM can be comprehensively inspected so as to achieve the purpose of inspecting whether the SIM quality meets the quality requirements.

A computing device may identify a series of bits representative of a first binary large object (BLOB) for navigation data including road segments and road attributes. The computing device duplicates each bit of the series of bits a predetermined number of times to form a first bit string. The first bit string is larger than the series of bits by a factor of the predetermined number. The computing device performs a binary difference of the first bit string to a second bit string representative of a second BLOB. A result of the binary difference is stored in a navigation patch file.

The invention discloses a file processing method, which is used when downloading function of a browser is disabled; the method comprises the following steps: sending a file downloading request to a server, wherein the file downloading request carries an identification of a to-be-downloaded file, and the identification of the to-be-downloaded file is used for determining the to-be-downloaded file by the server; receiving a binary stream of the to-be-downloaded file sent by the server; converting the binary stream of the to-be-downloaded file into a binary large object file; and writing the binary large object file to a memory. According to the file processing method provided by the embodiment of the invention, the downloading of the file can be finished without depending on the browser when the downloading function of the browser is disabled; and thus, the user experience is improved.

The invention provides a method and a device for processing binary system long-object fluidized data. The device comprises a database management module, an object resource management module, an object conversion module and a display module; the database management module obtains the binary system long-object fluidized data from a database; the object resource management module obtains an object resource corresponding to the binary system long-object fluidized data; the object conversion module converts the binary system long-object fluidized data into a memory object through the object resource, and the display module displays the memory object according to the type of the memory object. By the method and device, the object resource corresponding to the BLOB (binary large object) fluidized data is obtained, so that the BLOB can be smoothly analyzed into the memory object by utilizing the object resource and displayed according to the type, and the BLOB data can be smoothly analyzed and displayed through the scheme under various complicated business scenarios.

The invention discloses a method and device for processing BLOB (Binary Large Object) type data and an intelligent card. The method comprises the following steps of: when a record needing to include BLOB type data is determined to be created in a database table, setting BLOB fields in the created record; storing data needing to include the BLOB type data into a BLOB file independent of the database table, and storing corresponding information of the BLOB file in the BLOB fields; when a request on processing the created record is received, searching the corresponding BLOB file of the information according to the corresponding information of the stored BLOB file in the BLOB fields in the created record; and processing data in the created record according to the searched BLOB file. By adopting the method provided by the embodiment of the invention, the BLOB type data can be processed in databases with low memory capacity, such as an embedded database, and the like.