74results about How to "Eliminate redundant data" patented technology

A vehicle navigation system for use with a traffic information broadcast system which transmits traffic data relating to primary road segments and a communication system which transmits traffic data relating to road segments in a local geographic area. A broadcast receiver receives the broadcast traffic data from the broadcast system and stores the received data. A communication transmitter, when activated, transmits a data request to the communication system. A communication receiver receives the local traffic data from the communication system in response to the data request while a processor displays traffic information on a display screen corresponding to the received broadcast traffic data and the received local traffic data. The local traffic data includes both traffic information relating to local road segments as well as non-traffic temporal events, such as weather, and time-related events which affect traffic flow. A database of historic traffic flow for the road segments is periodically updated to reflect new traffic data.

An electronic and transducer device can be attached, adhered, or otherwise embedded into or upon a removable oral appliance or other oral device to form a two-way communication assembly. The device contains a motion sensor to detect external forces imposed on the user such as an explosion, for example. The information is stored for medical treatment, among others. In another embodiment, the device provides an electronic and transducer device that can be attached, adhered, or otherwise embedded into or upon a removable oral appliance or other oral device to form a medical tag containing patient identifiable information. Such an oral appliance may be a custom-made device fabricated from a thermal forming process utilizing a replicate model of a dental structure obtained by conventional dental impression methods. The electronic and transducer assembly may receive incoming sounds either directly or through a receiver to process and amplify the signals and transmit the processed sounds via a vibrating transducer element coupled to a tooth or other bone structure, such as the maxillary, mandibular, or palatine bone structure.

A vehicle navigation system for use with a traffic information broadcast system which transmits traffic data relating to primary road segments and a communication system which transmits traffic data relating to road segments in a local geographic area. A broadcast receiver receives the broadcast traffic data from the broadcast system and stores the received data. A communication transmitter, when activated, transmits a data request to the communication system. A communication receiver receives the local traffic data from the communication system in response to the data request while a processor displays traffic information on a display screen corresponding to the received broadcast traffic data and the received local traffic data. The local traffic data includes both traffic information relating to local road segments as well as non-traffic temporal events, such as weather, and time-related events which affect traffic flow.

A method for removing redundant data from a backup storage system is presented. In one example, the method may include receiving the application layer data object, selecting a de-duplication domain from a plurality of de-duplication domains based at least in part on a data object characteristic associated with the de-duplication domain, determining that the application layer data object has the characteristic and directing the application layer data object to the de-duplication domain.

The invention discloses a rough-set-based data fusion method for a wireless multimedia sensor network. The wireless multimedia sensor network can be flexibly deployed in an area of interest of a user to sense richer multimedia information such as audios and videos. However, power is supplied to nodes of the wireless multimedia sensor network by batteries, and the hardware power consumption of the nodes for acquiring and transmitting the multimedia information is far higher than that of the conventional nodes, so that how to save the energy of the nodes to maximally prolong the life cycle of the network becomes one of main difficulties and challenges for the design and the implementation of the wireless multimedia sensor network. For such a problem, the invention provides a rough-set-based data fusion scheme for the wireless multimedia sensor network. According to the scheme, an optimal network topology structure is constructed, cluster head nodes are selected according to certain rules, and a data fusion tree is constructed among the cluster head nodes, so that acquired information can be forwarded along an optimal fusion path to reduce the energy consumption of the nodes in data transmission; and redundancy is eliminated by using an indiscernibility relation of a rough set theory to obtain reduced information, the reduced information is more accurate, and the data volume of the reduced information is greatly reduced compared with a raw data volume, so that the energy of the nodes is further saved, and the life cycle of the whole network is prolonged.

The invention belongs to the technical field of radars, and discloses a radar high-resolution range profile target recognition method based on an iMMFA (infinite max-margin factor analysis) model so as to improve classification performance of the radar and reduce solving complexity of the model. The method comprises steps: radar high-resolution range profiles of M categories of targets; feature extraction is carried out on each radar high-resolution range profile; an iMMFA model is built; an initial value of each parameter of the iMMFA model is set, according to a Gibbs sampling rule, after a preheating process of I0 times of iteration, sampling values of each parameter at T0 times are stored respectively; a final FA model, a final TSB-DPM model and a final LVSVM classifier are determined, and a final iMMFA model is formed; a radar high-resolution range profile of a test target is acquired, and feature extraction is carried out on the radar high-resolution range profile of the test target; and according to a clustering label of a test hidden variable as described in the description, a target category to which the test target belongs is determined.

The invention provides an identified association graph self-optimization mechanism based on deep learning, and the mechanism combines a knowledge graph technology and a deep learning technology, carries out the identification processing of continuously collected data through a deep learning model, and then adds the data to an association graph. Data processing is carried out through a plurality ofdistributed data storage nodes and distributed computing nodes in the association graph, and a series of global iterations are carried out through three parts of local computing, communication unitsand fence synchronization on the basis of a block synchronization parallel computing model. Self-adaptive dynamic optimal allocation of computing resources is realized according to the resource utilization rate, the processing performance and the locality of the data of the system. And carrying out continuous disambiguation analysis and clustering calculation on the data added into the associationgraph to carry out continuous simplification and correction so as to realize continuous self-optimization of the association graph.

A multi-layered data model for determining image choice across a set of audience-specific documents comprising language, regional, regulatory and / or cultural differences. Enables generation of audience-specific documents with audience specific images and audience-specific image placement based on inheritance of images and image metadata associated with hierarchical audiences. For data entry, enables a user to rapidly determine if images in an audience specific document conform to the expectations or requirements of an intended audience. The data entry and edit interface distinguishes between current and inherited audience levels through the use of color or any other mechanism that allows a user to quickly identify data that is missing and needs to be populated, changed or remain unchanged if the inherited image or image title or placement is suitable for the given audience. Documents are generated to any number of media types such as HTML, XML and paper.

Technologies are described herein for providing efficient backup of multiple versions of a data file using data de-duplication. A CDP module copies blocks of data of a specific block size from a current version of the data file to a master file maintained in a backup location for the data file. Only blocks of data not matching a unique data block already in the master file are copied. The CDP module then creates an anterior file in the backup location for the current version of the data file containing an ordered list of references to the unique data blocks in the master file. The order of the list of references is based on the order of occurrence of each unique data block in the modified version of the data file. Finally, the CDP module creates a posterior file in the backup location for the current version of the data file containing any remaining block of data in the data file that is less than the specific block size.

Described are embodiments of an invention for identifying chunk boundaries for optimization of fingerprint-based deduplication in a computing environment. Storage objects that are backed up in a computing environment are often compound storage objects which include many individual storage objects. The computing device of the computing environment breaks the storage objects into chunks of data by determining a hash value on a range of data. The computing device creates an artificial chunk boundary when the end of data of the storage object is reached. When an artificial chunk boundary is created for the end of data of a storage object, the computing device stores a pseudo fingerprint for the artificial chunk boundary. If a hash value matches a fingerprint or a pseudo fingerprint, then the computing device determines that the range of data corresponds to a chunk and the computing system defines the chunk boundaries.

The invention relates to a method and a device for processing data of a liquid crystal display. The method for processing data comprises the following steps: receiving the (n+1)th line of actual data; reading the nth line of actual data in a buffer memory; carrying out xor operation of the (n+1)th line of actual data and the nth line of actual data; and generating the (n+1)th line of xor data and sending the xor data to a data driver. The device for processing data comprises a signal receiver, a data path, a first data receiver, a first data buffer memory, a xor processor and a data transmitter, wherein the xor processor is respectively connected with the first data receiver and the first data buffer memory and used for generating xor data of own line through the xor operation. The invention eliminates redundant data, effectively reduces the data variable quantity in data transmission between a time schedule controller and the data driver and decreases the electromagnetic interference of the liquid crystal display to the utmost extent.

An interface for indicating the presence of inherited values in a document. The interface enables a user to rapidly determine if an audience specific document conforms to the expectations or requirements of an intended audience. The interface distinguishes between current, primary and secondary audience layer values through the use of color or any other mechanism that allows a user to quickly identify data that is missing and needs to be populated, changed or remain unchanged if the inherited data is suitable for the given audience. Using the interface, users can determine at a glance what information is inherited and what level of inheritance that information is from. Before generating an audience specific document targeted at a particular media type, an audience hierarchy may be created and utilized for entry and edit of data for a desired audience.

Audience specific documents targeted at a plurality of media types are generated by accessing data from a multi-layered data model comprising an audience hierarchy. When obtaining a data value for a particular audience, if that value does not exist for that audience then the audience hierarchy may be utilized to find the data value for an inherited audience. By adding regional, cultural or regulatory subdivisions within the audience hierarchy and inheriting large portions of existing audience specific data entries, a large number of audience specific documents may be generated with a minimal amount of data entry required. Audiences may be specified in a given order for traversal within the hierarchy and displayed in a data entry and editing application utilizing visual characteristics to inform a user if the value for a particular piece of data is inherited from another layer or utilized from the particular layer in use.

Audience specific document targeted at a particular media type are generated by accessing data from an audience hierarchy. When obtaining a data value for a particular audience, if that value does not exist for that audience then the audience hierarchy may be utilized to find the data value for an inherited audience. By adding regional, cultural or regulatory subdivisions within the audience hierarchy and inheriting large portions of existing audience specific data entries, a large number of audience specific documents may be generated with a minimal amount of data entry required. Audiences may be specified in a given order for traversal within the hierarchy and displayed in a data entry and editing application utilizing visual characteristics to inform a user if the value for a particular piece of data is inherited from another layer or utilized from the particular layer in use. Audience specific documents may be masked and accessed by payment.

One or more embodiments of the invention enable a user to create multiple non-redundant views using metadata targeted at a specific audience that comprises language, regional, regulatory and / or cultural specific values. The word “audience” for the purposes of this specification means a group of document consumers such as people or computers that are associated with a language, country, region, regulation or culture. Audience specific data therefore is data targeted at a specific audience and audience specific metadata is related to the descriptive information related to the data, such as a table name or a field name for example. At least one embodiment of the invention makes use of rule-based inheritance in providing metadata values via layers that comprise audience specific data.

The invention provides a multi-viewpoint video fractal coding compressing and uncompressing method based on objects and belongs to the technical field of three-dimensional video coding. A large amount of data of a multi-viewpoint three-dimensional video is compressed efficiently to be stored and transmitted. In a coding process, an interested object in a video is obtained through an automatic partition method and compressed and coded through fast disparity estimation and a method of combining pentagon motion estimation forecast and fractal codes, and data redundancy is effectively reduced. A forecast structure K-L-C-R-S specific to a video of five viewpoints of K, L, C, R and S is provided, namely viewpoints R and L are forecasted through a viewpoint C, the viewpoints S and K are forecasted through the viewpoints R and L respectively, and initial frames of the five viewpoints all use I frame. Decoding viewpoint sequences are the same, and loop filtering is used for removing a blocking effect. Under the condition that a good video decoding quality is obtained, coding speed and compression ratio are greatly increased, high flexibility is obtained, and a foundation is laid for real-time application for multi-viewpoint video coding.