205 results about "Very large database" patented technology

A computer program embodied in a computer readable medium in a mobile station MS includes instructions to display a first identifier, such as a song title, associated with a first media (music or video) file and a second identifier identified with a second media file. The first identifier indicates that the first media file is stored in the MS and the second identifier indicates that the file is not stored within the MS. Five such identifiers are disclosed, with functionality to up/download the media files one or more at a time from a PC or a networked server. Playlists and albums may be similarly indicated in their identifiers. The user is enabled to create and edit playlists on the MS without regard to what media files are stored on the MS. The MS may store file identifiers for the database maintained on the PC, a large-scale database maintained at a media service server, or a portion thereof. A mobile station is also described.

In a computerized system, a method of organizing a plurality of documents within a dataset of documents, wherein a plurality of documents within a class of the dataset each includes one or more citations to one or more other documents, comprising creating a set of fingerprints for each respective document in the class, wherein each fingerprint comprises one or more citations contained in the respective document, creating a plurality of clusters for the dataset based on the sets of fingerprints for the documents in the class, assigning each respective document in the dataset to one or more of the clusters, creating a descriptive label for each respective cluster, and presenting one or more of the labeled clusters to a user of the computerized system or providing the user with access to documents in at least one cluster.

A method of organizing a set of recognition models of known objects stored in a database of an object recognition system includes determining a classification model for each known object and grouping the classification models into multiple classification model groups. Each classification model group identifies a portion of the database that contains the recognition models of the known objects having classification models that are members of the classification model group. The method also includes computing a representative classification model for each classification model group. Each representative classification model is derived from the classification models that are members of the classification model group. When a target object is to be recognized, the representative classification models are compared to a classification model of the target object to enable selection of a subset of the recognition models of the known objects for comparison to a recognition model of the target object.

A method for operating a sleep phase actigraphy synchronized alarm clock that communicates with a remote sleep database, such as an internet server database, and compares user physiological parameters, sleep settings, and actigraphy data with a large database that may include data collected from a large number of other users with similar physiological parameters, sleep settings, and actigraphy data. The remote server may use “black box” analysis approach by running supervised learning algorithms to analyze the database, producing sleep phase correction data which can be uploaded to the alarm clock, and be used by the alarm clock to further improve its REM sleep phase prediction accuracy.

A software system automatically and dynamically generates a fully functional user interface (UI) based upon, and connected directly to, an underlying data model (as instantiated within a relational database management system (RDBMS)). The UI derives from an automated interrogation of the RDBMS, and comprises all mode displays (e.g., browse, search, edit, add) for all tables, and a full complement of mechanisms—integrated directly into the mode displays—for representing, navigating, and managing relationships across tables, regardless of the complexity of the underlying RDBMS schema. It utilizes a hierarchical “context stack” for suspending the working state of a particular table while “drilling down” to work with related-table information and return relevant changes to the base table. The embodiment further provides methods to enhance and extend the internal representation of table structures, constraints, relationships, and—special requirements (“business rules”) for improved revelation of the schema structure through external interrogation.

Methods and systems for searching a database that includes a plurality of records. Each record includes one or more tokens. The one or more tokens include one or more letters, numbers, or symbols. The system includes a user interface that when activated by a user generates at least one of a query symbol or a string of query symbols. A processing device compares the generated query symbol or string of query symbols to the stored records. An output device presents the record or records having tokens that match the generated query symbol or a string of query symbols based on the comparison. The user interface includes two or more input keys. Each input key is associated with a query symbol and the number of input keys is less than the number of distinct letters, characters, and symbols.

This invention provides a system method for search and displaying text-based documents, based upon user-input search terms that organizes and displays documentary search results in a series of clusters of documents that have been sorted in a manner that relates to the general relevance of those documents to the search terms. In particular, this system and method allows for the searching of large databases of related documents by utilizing citations between those documents to improve search efficiency as well as visualization of search results. The document databases (DD) are used to generate a document connectivity index (DCI), of which a copy is stored on (or remotely accessed by) the client computer. The client issues a search request to a DD server, which returns a list of matching documents. The client compares this list against the DCI to generate a sorted list of document clusters. Using a graphical interface, the user can view and navigate these clusters to identify and view documents of interest. The clusters can be displayed as nodes in which each document is a node and the selected (or, by default, highest ranking) document/node is centered on the screen with linked documents placed around it with appropriate link lines (the surrounding node-and-link display). Each node can be activated to re-centered the nod-and-link display and show the underlying document text body.

Methods and systems for partitioning and dynamically merging a database index are described. A database index includes a single first-level index partition stored in a data cache. As the first-level index partition in the data cache reaches a predetermined size, it is copied to secondary storage and a new index partition is generated in the data cache. When the number of index partitions in secondary storage reaches some predetermined number, the index partitions are merged to create a single index partition of a higher level in a hierarchy of index partitions having an exponentially increasing size with each increase in level within the hierarchy.

An Internet-based system for collecting, managing and serving consumer product-related information over the Internet. The system comprises a database management subsystem for storing and managing information representative of (i) a plurality of trademarks placed on or used in connection with a plurality of consumer products, and (ii) a plurality of Uniform Resource Locators (URLs) symbolically linked to the trademarks and specifying the location of a plurality of Web documents stored in one or more Internet-based information servers, by manufacturers, their agents and/or third parties, and contain particular kinds of information related to consumer products on which the trademarks are placed and used in commerce. A trademark/URL information server accesses one or more URLs from the database management subsystem in response to a request placed therewith by a consumer-operated client computer subsystem. Each manufacturer uses a manufacturer-managed client computer subsystem to transmit to the database management subsystem, information representative of a plurality of symbolically linked trademarks and URLs. Each consumer uses a consumer-operated client computer subsystem to access one or more URLs from the database management subsystem in response to a request transmitted to the trademark/URL information server. The accessed URLs are then used to access and display Web documents specified by the URLs and containing consumer product related information. Using the present invention, large databases containing symbolically linked trademarks and URLs can be created and managed, so that corresponding consumer product related information on the World Wide Web (WWW) can be reliably accessed and displayed by consumers using trademarks.

Content-based clustering, recognition, classification and search of high volumes of multimedia data in real-time. The invention is dedicated to real-time fast generation of signatures to high-volume of multimedia content-segments, based on relevant audio and visual signals, and to scalable matching of signatures of high-volume database of content-segments' signatures. The invention can be implemented in any applications which involve large-scale content-based clustering, recognition and classification of multimedia data, such as, content-tracking, video filtering, multimedia taxonomy generation, video fingerprinting, speech-to-text, audio classification, object recognition, video search and any other application requiring content-based signatures generation and matching for large content volumes such as, web and other large-scale databases.

A voice recognition system has a vehicle unit, which is a communication terminal, and a voice recognition server. The voice recognition server recognizes a voice signal received from the vehicle unit. A sound characteristic of a communication channel for providing communication between the vehicle unit and the server requires to be adjusted so that the server properly recognizes the voice signal. A test pattern signal is used for adjusting the sound characteristic. The vehicle unit adjusts the sound characteristic based on the test pattern signal. Therefore, the server does not require a large database for the sound characteristic adjustment because it is performed by the vehicle unit.

A method for fast and efficient record retrieval in large databases using cyclical redundancy check (CRC) computations as hash functions. Two hash values are computed for each record's key using the CRC-CCITT and CRC-16 generator polynomials. The two CRC values then are combined into a four-byte composite hash value that represents a binary signature of the record's key. Alternately, a single CRC-32 value can be used as a four-byte hash value. In most cases, this four-byte hash value uniquely identifies the record's key. An index file is constructed using a hybrid search method, part hash table and part linear search. The index file is searched to find a match for the four-byte hash value and the record's offset is obtained. The record's offset is used to retrieve the record from the database.

A computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling is disclosed. The present invention includes a method for using the Internet to obtain information, including, reading a data record stored in a field of data, searching a database for information describing the data record, condensing the information describing the data record into a value description, associating the value description with the data record, and augmenting the field of data with the value description associated with the data. The present invention also includes a computerized system for augmenting data from a source database with data from a reference database to generate an augmented database that can be used for predictive modeling and data mining to conduct searches of data in the augmented database.

Features are preprocessed (204) to minimize classification error in a Support Vector Machines (200) used to identify patterns in large databases. Pre-processing (204) is performed to constrain features used to train (210) the SVM learning machine. Live data (226) is collected and processed (232) with SVM.

A plurality of ECG Superscore formulae, created from multiple parameter ECG measurements including those from advanced ECG techniques, can be optimized using additive multivariate statistical models or pattern recognition procedures, with the results compared against a large database of ECG measurements from individuals with known cardiac conditions and/or previous cardiac events. Superscore formulae utilize multiple ECG parameters and accompanying weighting coefficients and allow data obtained from any given patient to be used in calculating that patient's ECG Superscore results. ECG Superscores have retrospectively optimized accuracy for identifying and screening individuals for underlying heart disease and/or for determining the risk of future cardiac events. They thus have greater predictive value than that of any conventional or advanced ECG measurement alone or of any non-optimized combinations of conventional or advanced ECG measurements that have been used in the past. Ongoing optimization of ECG Superscore diagnostic and predictive accuracy may be realized through the iterative adjustment of Superscore formulae based on the incorporation of data from new patients into the database and/or from longitudinal follow-up of the disease and cardiac event status of existing patients.

A method and a system for maintaining coherence of cache contents in a multi-tiered architecture of servers are described. This includes a front tier of satellite servers, each operating a local cache, and a middle tier of central servers each operating a central cache. Central servers interface with databases through database servers to retrieve the data elements used to construct objects and store them in central caches. Once constructed, objects are attributed a time-to-live (TTL) and stored in central caches then, forwarded to the satellite servers where they are stored in local caches before being delivered to the software applications that have requested them. They are invalidated when outdated and reconstructed from a central server from where they are forwarded to all central caches and to the local caches where they are needed.

The invention discloses an on-line monitoring system for a direct-current power supply and a storage battery, which comprises an on-line monitor, a monitoring centre, a user terminal, a monitoring network and a management network, wherein the on-line monitor consists of a CPU, a storage battery voltage and internal resistance test unit, a direct-current charger characteristic test unit, a power supply unit, a communication unit, an input-output unit, a fault alarm unit, a reset unit and a storage unity, monitors a field storage battery and the direct-current charger online and transmits monitoring data to the monitoring centre through the monitoring network; the monitoring centre is a large-scale server, which receives the monitoring data transmitted from the on-line monitor and performs storage management on the monitoring data in a large-scale database mode; the system responses various commands of the user terminal, and receives the commands of the user terminal to perform various controls on the on-line monitor installed on-site.

Embodiments of the present invention provide a spoken language interface to an information database. A plurality of word N-grams from each entry in the information database may be generated. A corresponding probability score for each word N-gram included in the plurality of word N-grams may also be generated. Any one word N-gram from the plurality of word N-grams may be included in a distorted version of the entry generated based on a transformation rule. Duplicate word N-grams from the plurality of word N-grams generated from each entry in the information database may be identified. Corresponding probability scores for the identified duplicate word N-grams may be accumulated. One of the duplicate word N-grams and the corresponding accumulated probability score may be stored in a grammars database.

A hash-CAM (H-CAM) which may work with a controller and a memory containing a database of either search values and associate content or associate content by itself The H-CAM includes at least one set of paired hash units and CAM units and at least one logic unit. The CAM units hold values known to cause hash collisions in the respectively paired hash units, and the logic unit prioritizes the hash and CAM unit outputs to a single address value usable to access the memory and obtain a search result at the controller that is not the result of a hash collision. The H-CAM may optionally include a search data storage to store the search values, so that they need not be stored in the memory, and a comparator to determine and handle newly determined hash collisions.