483 results about "Evaluated data" patented technology

A system and method for accurately and reliably determining and recording the time, date and location where a medication is used, and a system and method for transmitting, collecting, and using that data to improve clinical care, disease management, and public health surveillance. The device allows information concerning drug usage, including the time, date and location of use, to be transmitted to a remote network computer system so that the data can be evaluated to determine current impairment and future risk, and to identify changes in the frequency, timing, or location of medication usage indicative of change in disease control or management, and to examine spatial, temporal or demographic patterns of medication use or absence of use among individuals and groups. In addition, the device may further be configured to transmit signals indicative of its status, condition or other results to the remote network computer system.

A sensing system for use in monitoring the structural health of a structure such as a polymeric matrix composite structure is provided. The system includes a sensor formed from a conductive ink containing carbon nanofibers and a polymeric resin, and a data acquisition system for acquiring and evaluating data from the sensor. The conductive ink may be applied directly to the structure to be monitored in the form of a grid pattern. Damage to the structure may be detected by measuring changes in resistance values detected from the sensor.

A method and system to evaluate data efficacy across an enterprise is disclosed. The method includes the step of indexing a set of data sources that include at least one of structured and unstructured data artifacts. The method further includes accessing the indexing on the one or more data sources with a computer. The method further includes the step of generating a plurality of analytics about the data sources based on the indexing, wherein the analytics include a plurality of: a document originality analytic, a corpus storage volume analytic, a data source ingest analytic, a document type analytic, and an analysis analytic. The method further includes displaying, on a display device, an interactive visualization of results based on the analytics, wherein the visualization comprises at least one of: a histogram, a graph, a timeline, a panel, a list, a chart, a popup, and a table.

A data system 102 permits bus encoding based on frequency of the bus; an encoding scheme may be implemented to avoid undesirable frequency conditions such as a resonant condition that may lead to degradation in system performance. The device or integrated circuit will typically include an encoder; in one embodiment, the encoder is a data bus inversion (DBI) circuit that selectively inverts all lines of a data bus. A detector that may include a band-pass or stop-band filter that, for example, evaluates data for transmission on the bus to detect frequency, for example, a predetermined frequency or a frequency range. The detector provides a control signal for the encoder to selectively apply an encoding scheme as a function of frequency.

A fluid treatment system is provided, the system including a fluid treatment cartridge for treating fluid passing therethrough. The cartridge has an inlet through which untreated fluid enters the cartridge and an outlet from which treated fluid exits the cartridge. The cartridge also has a radio frequency identification (RFID) tag for storing data. The fluid treatment system also includes a connection manifold configured to detachably support the fluid treatment cartridge. The connection manifold has an inlet flow path for directing untreated fluid to the inlet of the cartridge and an outlet flow path for directing treated fluid from the outlet of the cartridge, and a data sensor for reading data stored on the RFID tag. Data stored on the RFID tag can be read by the data sensor and evaluated. Use of the fluid treatment system can be deterred based upon the evaluated data.

A driver assistance system includes a sensor that detects objects and / or characteristics of objects in the surroundings of a motor vehicle, and an object recognition unit that evaluates data from the sensor to produce object information, and determines a confidence value indicating the probability of accuracy thereof. If the confidence value is greater than a minimum threshold but less than a predefined threshold, then the system displays the object information to the driver, who confirms or rejects it, e.g. by actuating or not actuating an operating element. Upon confirmation by the driver, the system begins or continues to perform a driver assistance function based on the object information. Upon rejection by the driver, the system does not perform or discontinues the driver assistance function based on the object information. If the confidence value exceeds the predefined threshold, then the system autonomously performs the driver assistance function.

This invention features a method of delivering information over one or more information delivery networks, the method including: monitoring the actions of a user on the one or more networks to obtain observed user data relating to a desired behavior modification; obtaining user supplied data relating to the desired behavior modification; evaluating the observed user data and the use supplied data to generate tailored information for progressing a user towards the desired behavior modification; presenting the tailored information to the user over at least one of the networks; and repeating steps a), b), c) and d) until the desired behavior modification is achieved. The user is continually provided with re-tailored information resulting from an iterative process of obtaining and evaluating data that progresses the user towards a desired behavior modification. The desired behavior modification can be, for example, the cessation of smoking.

A method and computer system for dynamically selecting an optimal lock mode in a multiprocessor environment. The method determines a quantity of read-side and write-side acquisitions, and evaluates the data to determine an optimal lock mode for efficiently operating the computer system while maintaining reduced overhead. The method incorporates data received from the individual units within a central processing system, the quantity of write-side acquisitions in the system, and data which has been subject to secondary measures, such as formatives of digital filters. The data subject to secondary measures includes, but is not limited to, a quantity of read-side acquisitions, a quantity of write-side acquisitions, and a quantity of read-hold durations. Based upon the individual unit data and the system-wide data, including the secondary measures, the operating system may select the most efficient mode of operation from among the locking modes available. Accordingly, efficiency of a computer system may be enhanced with the ability to selectively choose an optimal locking mode based upon selected and calculated parameters.

Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

A method for accelerated object detection or for accelerated object attribute detection, wherein a first information item is acquired by a vehicle-to-X communication device, and describes at least one object or at least one object attribute in an evaluated data form. A second information item is acquired by at least one individual sensor or by a sensor group, and describes the at least one object or the at least one object attribute in sensor raw data form, and an object detection algorithm and / or an object attribute detection algorithm is applied to sensor raw data of the second information item. The method is defined in that a threshold value of the object detection algorithm or of the object attribute detection algorithm for detecting the at least one object or at least one object attribute described by the first information item is reduced in the sensor raw data of the second information item.

A system for on-site collection of evaluation data at a vehicle repair site installation is disclosed. Generally the system includes a mobile computing tool wirelessly connected to a database, a workflow operations guiding module that runs on the mobile computing tool, an evaluation module, a comparison module, a data-mining module, a certification module, a legal compliance module, and a repair procedure compliance module. As a vehicle is repaired, the workflow operations guiding module prompts a coach with questions. The evaluation module performs a quantitative analysis of the answers provided by the coach and the comparison module compares the result of the quantitative analysis against aggregated or averaged information. The certification module compares information from the comparison module against predetermined certification criteria and the data mining module identifies correlations, trends or patterns in collected data by the system.

The present invention addresses the deficiencies of the related art by providing a tier-based data storage solution. Specifically, the present invention evaluates the data contained in database tables by analyzing several metrics for the data, and creating a valuation score. The valuation score is used to determine the storage tier that would meet the performance and availability requirements of the database with the goal of reducing the costs associated with storing that data. The metrics that are used to evaluate database tables include (among others): table purpose, data retention, disk requirements, data criticality, data relevance, and desired performance. As such, the present invention will develop a data (lifecycle) storage plan for each set of data. This storage plan not only identifies an initial storage tier where the data should be stored, but also identifies, if, when and to where the data should be moved thereafter.

This disclosure describes systems and methods for monitoring and evaluating data associated with ventilatory parameters to detect expiratory airflow limitation in a ventilated patient. For example, a ventilator may monitor flow and / or pressure during ventilation of the patient. Based on the flow and / or pressure measurements, or ventilatory data derived therefrom, the ventilator may calculate expiratory resistance. Moreover, the ventilator may trend expiratory resistance over time to produce an expiratory resistance waveform. In embodiments, the ventilator may calculate the slope of the expiratory resistance waveform during an initial part of exhalation. If the slope of the expiratory resistance waveform during the initial part of exhalation breaches a defined slope threshold, the ventilator may determine that the patient exhibits expiratory airflow limitation.

An under vehicle inspection system is disclosed. The under vehicle inspection system comprises a vehicle undercarriage inspection platform, a plurality of sensors mounted on the vehicle undercarriage inspection platform, and a data analysis element receiving and evaluating data captured by the plurality of sensors. The plurality of sensors scans the undercarriage of a vehicle by moving relative to the vehicle undercarriage inspection platform.

A system and method for accurately and reliably determining and recording the time, date and location where a medication is used, and a system and method for transmitting, collecting, and using that data to improve clinical care, disease management, and public health surveillance. The device allows information concerning drug usage, including the time, date and location of use, to be transmitted to a remote network computer system so that the data can be evaluated to determine current impairment and future risk, and to identify changes in the frequency, timing, or location of medication usage indicative of change in disease control or management, and to examine spatial, temporal or demographic patterns of medication use or absence of use among individuals and groups. In addition, the device may further be configured to transmit signals indicative of its status, condition or other results to the remote network computer system.

A display panel test apparatus includes: an image pickup part which picks up an image from a target display panel; a jig including a receiving part which receives the target display panel, a fixing part which fixes the image pickup part, and an adjusting part which adjusts an image pickup angle of the image pickup part; a pattern generating part which provides the target display panel with a test pattern; a defect extracting part which analyzes test image data provided from the image pickup part using a defect extracting algorithm and extracts display defect information, where the defect extracting algorithm includes different settings corresponding to different types of display defects; and a control part which generates evaluated data corresponding to a viewing angle of the target display panel using the image pickup angle of the image pickup part and the display defect information.

A method for evaluating data includes defining a list of data categories, determining a relative sensitivity to each data category, determining one or more classifiers for each of the data categories, receiving a plurality of data items to be valued, determining one of the data categories for each of said plurality of data items according to the one or more classifiers, and determining a respective sensitivity for each of said plurality of data items.

A non-volatile memory device programs memory cells in each row in a manner that minimizes the coupling of spurious signals. A control logic unit programs the cells in a row using a set of bit state assignments chosen by evaluating data that are to be written to the cells in the row. The control logic unit performs this evaluation by determining the number of cells in the row that will be programmed to each of a plurality of bit states corresponding to the write data. The control logic unit then selects a set of bit state assignments that will cause the programming level assigned to each bit state to be inversely proportional to the number of memory cells in the row that are programmed with the bit state. The selected set of bit states is then used to program the memory cells in the row.

The invention relates to a medical unit comprises a 3D radar array for the detection of positional or movement data of objects in an examination space and a processing unit for the evaluation of the detected data, with the processing unit being connected to the medical unit and to the 3D radar array, and with the evaluated data being used to control the medical unit or for post-processing data acquired by the medical diagnostic or therapeutic unit. The invention also relates to a method for improving examination or treatment workflows with the medical unit, comprising: detecting positional or movement data of objects in the examination space by the 3D radar array; generating control commands for the medical unit based on the detected data; and post-processing image or spectroscopy data received by the medical based on the detected data. The medical unit is a medical diagnostic or therapeutic unit.

A method for evaluating data is based on a computational model, the computational model comprising model data, a training function and a prediction function. The method includes training the computational model by: receiving training data and training result data for training the computational model, and computing the model data from the training data and the training result data with the training function. The method includes predicting result data by: receiving field data for predicting result data; and computing the result data from the field data and the model data with the prediction function. The training data may be plaintext and the training result data may be encrypted with a homomorphic encryption algorithm, wherein the model data may be computed in encrypted form from the training data and the encrypted training result data with the training function. The field data may be plaintext, wherein the result data may be computed in encrypted form from the field data and the encrypted model data with the prediction function.

An under vehicle inspection system is disclosed. The under vehicle inspection system comprises a vehicle undercarriage inspection platform, a sensor mounted on sensor carriage, and a data analysis element receiving and evaluating data obtained by the sensor.

In one embodiment, a system includes a performance monitoring facility of a database adapted for measuring performance of the database regularly, a data protection manager for controlling a backup operation of the database on a storage subsystem, logic adapted for providing an interface between the performance monitoring facility of the database and the data protection manager, logic adapted for starting the backup operation while informing the performance monitoring facility about the starting of the backup operation, logic adapted for continuously evaluating performance of the database to determine when a predefined performance criterion is violated, and logic adapted for sending information from the performance monitoring facility to the data protection manager to cause compliance with the predefined performance criterion in response to the predefined performance criterion being violated.

An apparatus for processing 3D data, including data storage, memory and processing. 3D data is stored in the memory means and the processing is configured to evaluate the 3D data with respect to a first function of time in a first evaluation mode and with respect to a second function of time in a second evaluation mode.

A method for identifying an occlusion in a breathing tube of a ventilator system is disclosed herein. The method includes obtaining data related to a respiratory signal, transferring the data to a processor, and implementing the processor to evaluate the data in a manner adapted to automatically identify the presence of an occlusion in the breathing tube. A corresponding ventilator system is also disclosed.

A non-volatile memory device programs memory cells in each row in a manner that minimizes the coupling of spurious signals. A control logic unit programs the cells in a row using a set of bit state assignments chosen by evaluating data that are to be written to the cells in the row. The control logic unit performs this evaluation by determining the number of cells in the row that will be programmed to each of a plurality of bit states corresponding to the write data. The control logic unit then selects a set of bit state assignments that will cause the programming level assigned to each bit state to be inversely proportional to the number of memory cells in the row that are programmed with the bit state. The selected set of bit states is then used to program the memory cells in the row.

A wireless receiver including a receive chain, a synchronization processor, a memory, a combiner and a soft decision processor. The synchronization processor determines a frequency response of the wireless channel using synchronization data transmitted in the wireless channel. The memory stores a compensation vector indicative of a frequency response of receive chain filtering. The combiner combines the compensation vector with the wireless channel frequency response to provide a compensated frequency response. The soft decision processor uses the compensated frequency response to evaluate data decisions. The compensation vector is based on measurement or estimation of the frequency response of the receive chain. The combiner may be based on multiplication or addition. The wireless receiver may include an FEQ. The synchronization processor generates FEQ coefficients for programming the FEQ taps. The FEQ provides an equalized data value and a compensated frequency response value to the soft decision processor for each sub-carrier.

A system for on-site collection of evaluation data at a vehicle repair site installation is disclosed. Generally the system includes a mobile computing tool wirelessly connected to a database, a workflow operations guiding module that runs on the mobile computing tool, an evaluation module, a comparison module, a data-mining module, a certification module, a legal compliance module, and a repair procedure compliance module. As a vehicle is repaired, the workflow operations guiding module prompts a coach with questions. The evaluation module performs a quantitative analysis of the answers provided by the coach and the comparison module compares the result of the quantitative analysis against aggregated or averaged information. The certification module compares information from the comparison module against predetermined certification criteria and the data mining module identifies correlations, trends or patterns in collected data by the system.