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12225 results about "Data conversion" patented technology

Data conversion is the conversion of computer data from one format to another. Throughout a computer environment, data is encoded in a variety of ways. For example, computer hardware is built on the basis of certain standards, which requires that data contains, for example, parity bit checks. Similarly, the operating system is predicated on certain standards for data and file handling. Furthermore, each computer program handles data in a different manner. Whenever any one of these variables is changed, data must be converted in some way before it can be used by a different computer, operating system or program. Even different versions of these elements usually involve different data structures. For example, the changing of bits from one format to another, usually for the purpose of application interoperability or of capability of using new features, is merely a data conversion. Data conversions may be as simple as the conversion of a text file from one character encoding system to another; or more complex, such as the conversion of office file formats, or the conversion of image formats and audio file formats.

Parser translator system and method

A parser-translator technology allows a user to specify complex test and/or transformation statements in a high-level user language, to ensure that such test and/or transformation statements are well-formed in accordance with a grammar defining legal statements in the user language, and to translate statements defined by the user into logically and syntactically correct directives for performing the desired data transformations or operations. Using the parser-translator technology, a user can focus on the semantics of the desired operations and need not be concerned with the proper syntax of a language for a particular system. Instead, grammars (i.e., data) define the behavior of a parser-translator implementation by encoding the universe of statements (e.g., legal test and/or transformation statements) and by encoding translations appropriate to a particular data processing application (e.g., a data conversion program, etc.). Some parser-translator implementations described herein interface dynamically with other systems and/or repositories to query for information about objects, systems and states represented therein, and/or their respective interfaces. Some grammars described herein encode sensitivity to an external context. In this way, context-sensitive prompting and validation of correct specification of statements is provided. A combination of parser technology and dynamic querying of external system state allows users to build complex statements (e.g., using natural languages within a user interface environment) and to translate those complex statements into statements or directives appropriate to a particular data processing application.
Owner:VERSATA

System and method for improving clinical decisions by aggregating, validating and analysing genetic and phenotypic data

The information management system disclosed enables caregivers to make better decisions, faster, using aggregated genetic and phenotypic data. The system enables the integration, validation and analysis of genetic, phenotypic and clinical data from multiple subjects who may be at distributed facilities. A standardized data model stores a range of patient data in standardized data classes that encompass patient profile information, patient symptomatic information, patient treatment information, and patient diagnostic information including genetic information. Data from other systems is converted into the format of the standardized data classes using a data parser, or cartridge, specifically tailored to the source system. Relationships exist between standardized data classes that are based on expert rules and statistical models. The relationships are used both to validate new data, and to predict phenotypic outcomes based on available data. The prediction may relate to a clinical outcome in response to a proposed intervention by a caregiver. The statistical models may be inhaled into the system from electronic publications that define statistical models and methods for training those models, according to a standardized template. Methods are described for selecting, creating and training the statistical models to operate on genetic, phenotypic and clinical data, in particular for underdetermined data sets that are typical of genetic information. The disclosure also describes how security of the data is maintained by means of a robust security architecture, and robust user authentication such as biometric authentication, combined with application-level and data-level access privileges.
Owner:NATERA

Remote anomaly diagnosis and reconfiguration of an automatic data collection device platform over a telecommunications network

The invention provides a system and method for remotely diagnosing and repairing a plurality of Automatic Data Collection (“ADC”) device platforms. A remote service technician utilizes a computing system having browsing software that communicates with a network of ADC platform devices. Diagnostic queries for particular ADC devices may be retrieved by the browsing software from a diagnostic server that sends Hypertext Mark-Up Language (“HTML”) documents, Dynamic Hypertext Mark-Up Language (“DHTML”) documents, and / or Extensible Mark-Up Language (“XML”) documents containing appropriate diagnostic applets. The remote technician sends diagnostic queries to a Simple Network Management Protocol (“SNMP”) master agent at the ADC device platform, and a translator translates the diagnostic queries sent to the ADC device platform into a format suitable for reception by its ADC devices in order to effect anomaly diagnosis and functionality restoration. Another translator translates data received from the ADC device into the SNMP format for transmission to the remote service technician in order for the remote service technician to perform diagnostic analysis. The SNMP master agent communicates with the remote computing system using the Transmission Control Protocol (“TCP”), the User Datagram Protocol / Internet Protocol (“UDP / IP”), and / or the User Datagram Plus Protocol (“UDP+”). The ADC platform device may also utilize a wireless communication system for communicating with the remote service technician.
Owner:INTERMEC IP CORP

Passive physiological monitoring (P2M) system

Passive Physiological monitoring apparatus and method have a sensor for sensing physiological phenomenon. A converter converts sensed data into electrical signals and a computer receives and computes the signals, and outputs computed data for real-time interactive display. The sensor is a piezoelectric film of polyvinylidene fluoride. A band-pass filter filters out noise and isolates the signals to reflect data from the body. A pre-amplifier amplifies signals. Signals detected include mechanical, thermal and acoustic signatures reflecting cardiac output, cardiac function, internal bleeding, respiratory, pulse, apnea, and temperature. A pad may incorporate the PVDF film and may be fluid-filled. The film converts mechanical energy into analog voltage signals. Analog signals are fed through the band-pass filter and the amplifier. A converter converts the analog signals to digital signals. A Fourier transform routine is used to transform into the frequency domain. A microcomputer is used for recording, analyzing and displaying data for on-line assessment and for providing realtime response. A radio-frequency filter may be connected to a cable and the film for transferring signals from the film through the cable. The sensor may be an array provided in a MEDEVAC litter or other device for measuring acoustic and hydraulic signals from the body of a patient for field monitoring, hospital monitoring, transport monitoring, home, remote monitoring.
Owner:HOANA MEDICAL

Method and apparatus for interleaved processing of direct and indirect texture coordinates in a graphics system

InactiveUS7002591B1Efficient implementationIncrease in texture mapping hardware complexityCathode-ray tube indicators3D-image renderingPattern recognitionProcessing
A graphics system including a custom graphics and audio processor produces exciting 2D and 3D graphics and surround sound. The system includes a graphics and audio processor including a 3D graphics pipeline and an audio digital signal processor. The graphics pipeline renders and prepares images for display at least in part in response to polygon vertex attribute data and texel color data stored as a texture images in an associated memory. An efficient texturing pipeline arrangement achieves a relatively low chip-footprint by utilizing a single texture coordinate / data processing unit that interleaves the processing of logical direct and indirect texture coordinate data and a texture lookup data feedback path for “recirculating” indirect texture lookup data retrieved from a single texture retrieval unit back to the texture coordinate / data processing unit. Versatile indirect texture referencing is achieved by using the same texture coordinate / data processing unit to transform the recirculated texture lookup data into offsets that may be added to the texture coordinates of a direct texture lookup. A generalized indirect texture API function is provided that supports defining at least four indirect texture referencing operations and allows for selectively associating one of at least eight different texture images with each indirect texture defined. Retrieved indirect texture lookup data is processed as multi-bit binary data triplets of three, four, five, or eight bits. The data triplets are multiplied by a 3×2 texture coordinate offset matrix before being optionally combined with regular non-indirect coordinate data or coordinate data from a previous cycle / stage of processing. Values of the offset matrix elements are variable and may be dynamically defined for each cycle / stage using selected constants. Two additional variable matrix configurations are also defined containing element values obtained from current direct texture coordinates. Circuitry for optionally biasing and scaling retrieved texture data is also provided.
Owner:NINTENDO CO LTD
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