76results about How to "Less error" patented technology

Data errors in non-volatile memory inevitably increase with usage and with higher density of bits stored per cell. The memory is configured to have a first portion operating with less error but of lower density storage, and a second portion operating with a higher density but less robust storage. Input data is written and staged in the first portion before being copied to the second portion. An error management provides checking the quality of the copied data for excessive error bits. The copying and checking are repeated on a different location in the second portion until either a predetermined quality is satisfied or the number or repeats exceeds a predetermined limit. The error management is not started when a memory is new with little or no errors, but started after the memory has aged to a predetermined amount as determined by the number of erase / program cycling its has experienced.

Morphing or fitting a brain atlas to a diagnostic image data set of the patient, or to a patient registered to the brain atlas, is enhanced using measurements of one or more physical characteristics of the brain taken with the aid of an instrument as it is being inserted into the brain. The measurements are then compared against known physical characteristics of certain brain structures, thus permitting correlation of the measured physical characteristic to a brain structure. The brain atlas then may be morphed or deformed so that the identified brain structure in the atlas is at or near the position at which the measurement was taken, as known from the tracked position of the instrument.

Data errors in non-volatile memory inevitably increase with usage and with higher density of bits stored per cell. The memory is configured to have a first portion operating with less error but of lower density storage, and a second portion operating with a higher density but less robust storage. An error management provides reading and checking the copy after copying to the second portion. If the copy has excessive error bits, it is repeated in a different location either in the second or first portion. The reading and checking of the copy is accelerated by reading only a sample of it. The sample is selected from a subset of the copy having its own ECC and estimated to represent a worst error rate among the copy it is sampling. One embodiment has the sample taken from one bit of each multi-bit memory cell of a group.

Data errors in non-volatile memory inevitably increase with usage and with higher density of bits stored per cell. For acceptable quality assurance, conventional error correction codes (“ECC”) have to correct a maximum number of error bits up to the far tail end of a statistical population. The present memory is configured to have a first portion operating with less error but of lower density storage, and a second portion operating with a higher density but less robust storage. If excessive error bits (at the far tail-end) occur after writing a group of data to the second portion, the data is adaptively rewritten to the first portion which will produce less error bits. Preferably, the data is initially written to a cache also in the first portion to provide source data for any rewrites. Thus, a more efficient ECC not requiring to correcting for the far tail end can be used.

An apparatus including circuitry configured to detect and correct an ECC error in a non-targeted portion of a load access to a first data in a memory. An ECC error check circuit is configured to convey a first indication in response to detecting an error in a non-targeted first portion of the first data. A microcode unit is coupled to receive the first indication that the ECC check circuit has detected the ECC error and in response to the indication dispatch a first microcode routine stored by the microcode unit. The first microcode routine includes instructions which, when executed, correct the ECC error in the first portion. Correction of the error in the first portion does not include cancellation of data corresponding to the load access.

A system and method of processing an image including black text data and non-black text data are described. The system and method use a parametric analysis for discrimination of halftones, texts, and photographs. The parametric analysis provides results that track measurable image metrics without the inherent risk of errant decision making during classification. The creation of symbolic representations is intrinsically a classification process that is subject to error. It represents a fundamental departure from fuzzy logic image segmentation. In the parametric analysis, no pattern matching, no auto-correlation, no screening parameter calculation, and no conventional edge detector (such as a high pass filter) are used.

A wave energy converter (WEC) system includes first and second bodies which can move relative to each other in response to waves and a power-take-off (PTO) device coupled between the two bodies to convert their relative motion into energy. A sensor is used to sense selected characteristics of an incoming wave and produce signals which are applied to a control computer for predicting the impact of the incoming waves on the WEC. Simultaneously, signals indicative of the actual conditions (e.g. the velocity) of the WEC are also supplied to the control computer which is programmed to process the predicted and actual information in order to generate appropriate signals (forces) to the components of the WEC such that the average wave power captured by the PTO is maximized.

Data errors in non-volatile memory inevitably increase with usage and with higher density of bits stored per cell. For acceptable quality assurance, conventional error correction codes (“ECC”) have to correct a maximum number of error bits up to the far tail end of a statistical population. The present memory is configured to have a first portion operating with less error but of lower density storage, and a second portion operating with a higher density but less robust storage. If excessive error bits (at the far tail-end) occur after writing a group of data to the second portion, the data is adaptively rewritten to the first portion which will produce less error bits. Preferably, the data is initially written to a cache also in the first portion to provide source data for any rewrites. Thus, a more efficient ECC not requiring to correcting for the far tail end can be used.

An imaging device includes a casing, a defined a field of view, and light sources on the casing. Each light source has a field of illumination configured to illuminate a respective distinct sector of the FOV at a higher intensity than the other sectors. Accordingly, any partial shadow or visible partial shadow around a front image can be reduced or eliminated completely.

A method of controlling a robot system including an articulated robot and a control device is provided. The articulated robot includes links connected by joints, motors configured to drive the joints respectively, and detection devices configured to detect rotation amounts of the joints respectively. The control device controls the motors. The method includes the steps of, by the control device, recording movement information of the joints based on outputs of the detection devices; when detecting an abnormality in the operation of the articulated robot, determining presence or absence of a failure in the articulated robot based on the movement information recorded in at least a period from before detection of the abnormality until detection of the abnormality; and specifying a failure portion of the articulated robot if it is determined that there is a failure in the articulated robot in the step of determining.

A method for correcting a voice recognition error and a broadcast receiving apparatus applying the same are provided. The method for correcting the voice recognition error includes, receiving a user's spoken command, recognizing the user's spoken command and determining text corresponding to the user's spoken command, if a user command to correct the determined text is input, displaying a text correction user interface in which a morpheme of the determined text and an indicator are associated with each other, and correcting the morpheme of the determined text by selecting the associated indicator of the text correction UI. Accordingly, the broadcast receiving apparatus exactly corrects the misrecognized word with a word desired by the user.

Methods and devices are disclosed which apply an excitation-emission matrix (EEM) to a heterogeneous, two-dimensional sample, allowing a considerably larger number of emitting, e.g. fluorescent, labels to be used simultaneously. This may be accomplished by employing a spectroscopic method of excitation-emission matrices which allows discrimination of species with similar emission spectra, and also allows positive identification of energy transfer between emitting species. The methods and devices may employ a novel excitation-light scanning technique which allows imaging of the emission from the heterogeneous sample both in two spatial dimensions (length and width) and in two spectral dimensions (excitation and emission wavelength). This light scanning technique maximizes the throughput of excitation light, increasing the sensitivity and hence the reading speed of the instrument.

Provided are a decoder and decoding method wherein decoding is performed in consideration of input message characteristics. The decoder includes a fixed information checking unit for checking whether input data corresponds to fixed information; and a Branch Metric Calculation (BMC) unit for allowing the fixed information checking unit to check whether the input data corresponds to the fixed information upon receiving the input data, and if the input data corresponds to the fixed information, for computing branch metrics for a path by the use of the fixed information. Accordingly, error correction is improved.

A sensor for structural health monitoring includes a tri-axis microelectromechanical systems (MEMS) accelerometer and a tri-axis MEMS gyrometer. Sampled 3D accelerometer data and 3D gyrometer data are processed using integration and sensor fusion to produce an estimate of 3D rotation of the sensor device and an estimate of 3D displacement of the sensor device expressed in a global reference frame. The sensor measurements may also be corrected using structural model information. Optionally, the sensor may include a tri-axis MEMS magnetometer and use the 3D magnetometer data to increase the accuracy of the estimates. The sensor transmits the estimates wirelessly to a central unit for assessing structural damage.

Data errors in non-volatile memory inevitably increase with usage and with higher density of bits stored per cell. For acceptable quality assurance, conventional error correction codes (“ECC”) have to correct a maximum number of error bits up to the far tail end of a statistical population. The present memory is configured to have a first portion operating with less error but of lower density storage, and a second portion operating with a higher density but less robust storage. If excessive error bits (at the far tail-end) occur after writing a group of data to the second portion, the data is adaptively rewritten to the first portion which will produce less error bits. Preferably, the data is initially written to a cache also in the first portion to provide source data for any rewrites. Thus, a more efficient ECC not requiring to correcting for the far tail end can be used.

A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R_L, R_U, and R_V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture / graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.

Machine learning models typically are based on processing large-volume datasets, and datasets are preprocessed so that the machine learning can provide sound results. In building a model, certain example embodiments generate meta-features for each of a number of independent variables in an accessed portion of the dataset. The meta-features are provided as input to pre-trained classification models. Those models output, for the independent variables, indications of one or more appropriate missing value imputation operations, and one or more appropriate other preprocessing data cleansing related operations. The data in the dataset is transformed by selectively applying the missing value imputation operation(s) and the other preprocessing operation(s), in accordance with the independent variables associated with the data, thereby performing the preprocessing in an automated and programmatic way that helps improve the quality of the built model. Ultimately, queries received over a computer-mediated interface can be processed using the built machine learning model.

Data errors in non-volatile memory inevitably increase with usage and with higher density of bits stored per cell. The memory is configured to have a first portion operating with less error but of lower density storage, and a second portion operating with a higher density but less robust storage. Input data is written and staged in the first portion before being copied to the second portion. An error management provides checking the quality of the copied data for excessive error bits. The copying and checking are repeated on a different location in the second portion until either a predetermined quality is satisfied or the number or repeats exceeds a predetermined limit. The error management is not started when a memory is new with little or no errors, but started after the memory has aged to a predetermined amount as determined by the number of erase / program cycling its has experienced.

A color ID card for color matching that includes: a matching card; and a to-be-matched card for color matching with the matching card. Wherein, the matching card and the to-be-matched card are both printed with a color ID pattern that is a combination of colors corresponding to, on a digit basis, an identification number of identifying a matching object.

The optical performance monitoring apparatus includes a first optical distributor for distributing a WDM optical signal branched from an optical transmission line, a plurality of wavelength selectors, each for selecting a predetermined wavelength optical signal from the optical signal distributed, a plurality of first optical detectors, each for detecting power of the predetermined wavelength optical signal for a corresponding one of channels selected by the wavelength selectors; and a signal processor for measuring the power for each channel of the WDM optical signal, a total ASE noise power, and an optical signal-to-noise ratio for each channel from the digital value.

An image producing method is provided. The method includes acquiring regular-interval parallel-beam projection data whose intervals in a channel direction are the same and parallel to each other in a plurality of view directions by applying interpolation processing in a view direction, rearrangement processing, and interpolation processing in the channel direction to fan-beam projection data, and reconstructing an image by applying back projection processing to the acquired regular-interval parallel-beam projection data, wherein the interpolation processing in the view direction includes interpolation processing which is performed along a curve or a first straight line made by deforming or rotating a second straight line parallel to the view direction so as to be proximate to a trajectory drawn by dots corresponding to a desired position in a Scan Field Of View region on a sinogram of the collected fan-beam projection data in the plurality of views.

Disclosed is a method of restoring a client device following failure of the client device, the client being connectable to a network comprising a server device. The method comprises saving to the server device a configuration state of the client device, the saved configuration state comprising client network interface configuration information, and a file of the client device. The method further comprises, following failure of the client computer, recording on a medium bootable on the client device program instructions for configuring the client device according to the saved configuration state, booting the client device from the bootable medium, configuring a network interface of the client device in accordance with the program instructions and the saved configuration state and restoring the file to the client device by copying over the network.

A method of estimating the true uptake of a tracer in a physiological image acquired with a physiological image modality that has limited spatial resolution comprises: co-registering an anatomical image volume and the physiological image volume such that both image volumes have corresponding voxels; segmenting the anatomical image volume into a number of non-overlapping anatomical regions; combining each of the segmented anatomical regions with a function representative of the limited spatial resolution of the physiological image modality to generate a blurred anatomical region volume for each of the segmented regions; assuming the physiological image in each voxel to be a linear sum of the image intensities of the corresponding voxels in the blurred region volumes in that voxel; estimating, for each voxel, a value representative of the contribution to that voxel from each blurred region volume based on the uptake measured by the physiological image for that voxel and for nearby voxels; and using the estimated values for the voxels to estimate a true uptake of the tracer in each voxel and to thereby establish a corrected physiological image volume.

A bracket for supporting a structural element, such as a precast concrete beam, on a concrete pile or similar support structure in a building includes a first support part (1) which is cast at least partly into the concrete pile. The first support part (1) includes a bracket part (5) for supporting the structural element so that the structural element bears against the concrete pile. The bracket part (5) is movably fastened to the first support part (1), which is cast at least partly into the concrete pile, such that the position of the bracket part (5) with regard to the concrete pile can be changed.

A wave energy converter (WEC) system includes first and second bodies which can move relative to each other in response to waves and a power-take-off (PTO) device coupled between the two bodies to convert their relative motion into energy. A sensor is used to sense selected characteristics of an incoming wave and produce signals which are applied to a control computer for predicting the impact of the incoming waves on the WEC. Simultaneously, signals indicative of the actual conditions (e.g. the velocity) of the WEC are also supplied to the control computer which is programmed to process the predicted and actual information in order to generate appropriate signals (forces) to the components of the WEC such that the average wave power captured by the PTO is maximized.

An encoder for encoding an audio signal has: an analyzer configured for deriving prediction coefficients and a residual signal from an unvoiced frame of the audio signal; a gain parameter calculator configured for calculating a first gain parameter information for defining a first excitation signal related to a deterministic codebook and for calculating a second gain parameter information for defining a second excitation signal related to a noise-like signal for the unvoiced frame; and a bitstream former configured for forming an output signal based on an information related to a voiced signal frame, the first gain parameter information and the second gain parameter information.

Data errors in non-volatile memory inevitably increase with usage and with higher density of bits stored per cell. The memory is configured to have a first portion operating with less error but of lower density storage, and a second portion operating with a higher density but less robust storage. An error management provides reading and checking the copy after copying to the second portion. If the copy has excessive error bits, it is repeated in a different location either in the second or first portion. The reading and checking of the copy is accelerated by reading only a sample of it. The sample is selected from a subset of the copy having its own ECC and estimated to represent a worst error rate among the copy it is sampling. One embodiment has the sample taken from one bit of each multi-bit memory cell of a group.