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359 results about "Database index" patented technology

A database index is a data structure that improves the speed of data retrieval operations on a database table at the cost of additional writes and storage space to maintain the index data structure. Indexes are used to quickly locate data without having to search every row in a database table every time a database table is accessed. Indexes can be created using one or more columns of a database table, providing the basis for both rapid random lookups and efficient access of ordered records.

System and methods for recognizing sound and music signals in high noise and distortion

A method for recognizing an audio sample locates an audio file that most closely matches the audio sample from a database indexing a large set of original recordings. Each indexed audio file is represented in the database index by a set of landmark timepoints and associated fingerprints. Landmarks occur at reproducible locations within the file, while fingerprints represent features of the signal at or near the landmark timepoints. To perform recognition, landmarks and fingerprints are computed for the unknown sample and used to retrieve matching fingerprints from the database. For each file containing matching fingerprints, the landmarks are compared with landmarks of the sample at which the same fingerprints were computed. If a large number of corresponding landmarks are linearly related, i.e., if equivalent fingerprints of the sample and retrieved file have the same time evolution, then the file is identified with the sample. The method can be used for any type of sound or music, and is particularly effective for audio signals subject to linear and nonlinear distortion such as background noise, compression artifacts, or transmission dropouts. The sample can be identified in a time proportional to the logarithm of the number of entries in the database; given sufficient computational power, recognition can be performed in nearly real time as the sound is being sampled.
Owner:APPLE INC

Database system and method for data acquisition and perusal

A data acquisition and perusal system and method including a database selection module, a database index generator module and a search module. The database selection module enables selection of a plurality of files for inclusion into at least one selectable database. The database index generator module enables generation of a searchable index of the data contained in the selectable database. The search module enables a search to be performed of the searchable index according to search criteria. The data acquisition and perusal system and method may also allow users to view, acquire, and generate single- or multiple-data sources locally or remotely, and allow users to compile, index, modify, and append the data sources according to default or user defined criteria. The data acquisition and perusal system and method may also selectively acquire and display data contained within remote databases depending upon the user's access permissions to such databases. Such a system allows for the capture of HTML data which is automatically indexed without human intervention and has the ability to automatically and accurately locate or “pinpoint,” and highlight specific text or groups of text designated by the user within the resulting database. Such a system contains a link module that enables custom links to be defined between selected terms of selected files of the selectable database including the custom links so that the searchable index includes only valid links.
Owner:INTEGRATED DATA CONTROL

System and methods for recognizing sound and music signals in high noise and distortion

A method for recognizing an audio sample locates an audio file that most closely matches the audio sample from a database indexing a large set of original recordings. Each indexed audio file is represented in the database index by a set of landmark timepoints and associated fingerprints. Landmarks occur at reproducible locations within the file, while fingerprints represent features of the signal at or near the landmark timepoints. To perform recognition, landmarks and fingerprints are computed for the unknown sample and used to retrieve matching fingerprints from the database. For each file containing matching fingerprints, the landmarks are compared with landmarks of the sample at which the same fingerprints were computed. If a large number of corresponding landmarks are linearly related, i.e., if equivalent fingerprints of the sample and retrieved file have the same time evolution, then the file is identified with the sample. The method can be used for any type of sound or music, and is particularly effective for audio signals subject to linear and nonlinear distortion such as background noise, compression artifacts, or transmission dropouts. The sample can be identified in a time proportional to the logarithm of the number of entries in the database; given sufficient computational power, recognition can be performed in nearly real time as the sound is being sampled.
Owner:APPLE INC

Protein secondary mass spectrometric identification method based on probability statistic model

InactiveCN102495127AMore identificationThe result of the identification method is excellentMaterial analysis by electric/magnetic meansProtein DatabasesMass number
The invention discloses a protein secondary mass spectrometric identification method based on a probability statistic model. The method comprises the following steps of: firstly, virtualizing an enzymolysis protein database array, and establishing a peptide section database and a peptide section database index for peptide sections processed by the enzymolysis according to the mass number of the peptide sections; secondly, finding out standby peptide sections meeting the requirements from the peptide section database according to a nuclear-cytoplasmic ratio of parent ions in an experiment map to be analyzed, and generating a theoretical map meeting the requirements by all the standby peptide sections; thirdly, removing isotopes and noises from the experiment map to be analyzed; matching the processed experiment map to be analyzed and the theoretical map of each standby peptide section and grading, and selecting the standby peptide section with the highest score as an identification result of the experiment map; and finally, carrying out whole false positive control according to all the experiment map identification results. According to the invention, the quantity of effective massspectrums and the quantity of the protein peptide sections are higher than those of an existing algorithm; and the method has the advantages of capability of dynamically selecting peaks and fast operation speed.
Owner:JINAN UNIVERSITY
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