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16475 results about "Data processing system" patented technology

A data processing system is a combination of machines, people, and processes that for a set of inputs produces a defined set of outputs. The inputs and outputs are interpreted as data, facts, information etc. depending on the interpreter's relation to the system.

Data processing system and method

A powerful, scaleable, and reconfigurable image processing system and method of processing data therein is described. This general purpose, reconfigurable engine with toroidal topology, distributed memory, and wide bandwidth I/O are capable of solving real applications at real-time speeds. The reconfigurable image processing system can be optimized to efficiently perform specialized computations, such as real-time video and audio processing. This reconfigurable image processing system provides high performance via high computational density, high memory bandwidth, and high I/O bandwidth. Generally, the reconfigurable image processing system and its control structure include a homogeneous array of 16 field programmable gate arrays (FPGA) and 16 static random access memories (SRAM) arranged in a partial torus configuration. The reconfigurable image processing system also includes a PCI bus interface chip, a clock control chip, and a datapath chip. It can be implemented in a single board. It receives data from its external environment, computes correspondence, and uses the results of the correspondence computations for various post-processing industrial applications. The reconfigurable image processing system determines correspondence by using non-parametric local transforms followed by correlation. These non-parametric local transforms include the census and rank transforms. Other embodiments involve a combination of correspondence, rectification, a left-right consistency check, and the application of an interest operator.
Owner:INTEL CORP

Method and apparatus for storing information in a data processing system

A method for storing data from a data source in a storage device of a data repository by reading all source allocation units, restructuring the data into data units having a size corresponding to the repository allocation units, and generating a hash value for the data of each data unit read from the data source. For each data unit, a data table is searched for a table entry having a matching hash value wherein each table entry contains the hash value of a data unit stored in a repository allocation unit and a repository allocation unit pointer to the corresponding repository allocation unit. When the hash value of a data unit does not match any hash value of any table entry in the data table, the data of the data unit is written into a newly allocated repository allocation unit a new table entry is written to the data table. When the hash value of a data unit matches the hash value of a data entry in the data table, the data of the corresponding repository allocation unit and is compared with the data of the data unit. If the data of the data unit matches the repository allocation unit, the data unit is discarded. If the data of the data unit does not match the corresponding repository allocation unit, the data unit is written into a newly allocated repository allocation unit and a new table entry is inserted into the data table.
Owner:CHRYSALIS STORAGE

System and methods providing automatic distributed data retrieval, analysis and reporting services

InactiveUS6944662B2Increasing computationalIncreasing storage burdenMultiple digital computer combinationsWebsite content managementData processing systemPush and pull
A data processing system includes a network containing of a set of connected devices, where individual ones of the connected devices include a data processor that executes a program for connecting to and disconnecting from the network and for maintaining a first list descriptive of other connected devices and a second list descriptive of at least some user-defined services published by individual ones of publisher connected devices that form a first sub-set of the connected devices. Individual ones of the publisher connected devices maintain a third list descriptive of an individual one or individual ones of registered service subscriber connected devices that form a second sub-set of connected devices. The publisher connected devices provide a service output to registered service subscriber connected devices upon an occurrence of at least one predetermined triggering event, which may be a push trigger, a pull trigger, or a combination of push and pull triggers. A given one of the connected devices may be a member of only the first sub-set of connected devices, or may be a member of only the second sub-set of connected devices, or may be a member of both the first sub-set of connected devices and the second sub-set of connected devices. The set of connected devices are logically organized into a plurality of clusters each having a top level connected device (TLCD), where the plurality of TLCDs are coupled together in a ring for propagating system administration information between the plurality of clusters. Services remain operative even after the connected device on which they initially reside becomes inoperative. This is accomplished by migrating the publication function to at least one other connected device when a current publisher's connected device becomes inoperative for any reason. A backup of last resort is referred to as a persistent connected device.
Owner:TAIWAN SEMICON MFG CO LTD

Noninvasive measurement system

The noninvasive measurement system provides a technique for manipulating wave data. In particular, wave data reflected from a biological entity is received, and the reflected wave data is correlated to a substance in the biological entity. The wave data may comprise light waves, and the biological entity may comprise a human being or blood. Additionally, a substance may comprise, for example, a molecule or ionic substance. The molecule may be, for example, a glucose molecule.
Furthermore, the wave data is used to form a matrix of pixels with the received wave data. The matrix of pixels may be modified by techniques of masking, stretching, or removing hot spots.
Then, the pixels may be integrated to obtain an integration value that is correlated to a glucose level. The correlation process may use a lookup table, which may be calibrated to a particular biological entity. Moreover, an amplitude and phase angle may be calculated for the reflected wave data and used to identify a glucose level in the biological entity.
The glucose level may be displayed on a monitor attached to the computer. The computer may be a portable, self-contained unit that comprises a data processing system and a wave reflection capture system. On the other hand, the computer may be attached to a network of other computers, wherein the reflected wave data is received by the computer and forwarded to another computer in the network for processing.
Owner:STI MEDICAL SYST
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