1454 results about "Data reconstruction" patented technology

Provided are a method, system, and program for constructing data including reconstructing data organized in a data organization type, such as a Redundant Array of Independent Disks (RAID) organization, for example, which permits data reconstruction In one embodiment, blocks of data are transferred from a stripe of data stored across storage units, such as disk drives in a RAID array, to a logic engine of a storage processor, bypassing the cache memory of the storage processor. A store queue performs a logic function, such as Exclusive-OR, on each block of data as it is transferred from the disk drives, to reconstruct a block of data from the stripe. The constructed block of data may be subsequently transferred to a disk drive of the RAID array to replace a lost block of data in the stripe of data across the RAID array or to replace an old block of parity data.

The method of the present inventive concept is configured to utilize Operating System data structures related to memory-mapped binaries to reconstruct processes. These structures provide a system configured to facilitate the acquisition of data that traditional memory analysis tools fail to identify, including by providing a system configured to traverse a virtual address descriptor, determine a pointer to a control area, traverse a PPTE array, copy binary data identified in the PPTE array, generate markers to determine whether the binary data is compromised, and utilize the binary data to reconstruct a process.

Approaches to three-dimensional (3D) data reconstruction are presented. The 3D data comprises 2D images. In some embodiments, the 2D images are directionally interpolated to generate directionally-interpolated 3D data. The directionally-interpolated 3D data are then segmented to generate segmented directionally-interpolated 3D data. The segmented directionally-interpolated 3D data is then meshed. In other embodiments, a 3D data set, which includes 2D flow images, is accessed. The accessed 2D flow images are then directionally interpolated to generate 2D intermediate flow images.

A method for reconstructing an ear canal from optical coherence tomography (OCT) scan data of an ear comprises extracting frame numbers and line numbers of interference intensities corresponding to one or more markers on an OCT scan guide, receiving reference frame numbers and lines numbers for one or more markers, determining a starting position and direction for the OCT ear scan from the ear scan marker frame and line numbers and the reference marker frame and line numbers, for each scan line, finding a pixel number of a maximum interference intensity value, and determining an offset distance of said pixel from said scan guide, and reconstructing a surface of the ear canal from the distance offset data.

On the first storage device side, when data is written in a first volume, a journal of such data is transmitted to a second storage device; on the second storage device side, a snapshot of a second volume and the respective journals are stored; on the second storage device side, the first volume is rebuilt at a rebuilding time according to a rebuilding order; on the second storage device side, data of an address rewritten from the rebuilding time onward is transmitted as difference data to the first storage device; and on the first storage device side, the first volume is rebuilt at the rebuilding time based on the difference data.

A method for reconstructing a high quality image from undersampled image data is provided. The image reconstruction method is applicable to a number of different imaging modalities. Specifically, the present invention provides an image reconstruction method that incorporates an appropriate prior image into the image reconstruction process. Thus, one aspect of the present invention is to provide an image reconstruction method that requires less number of data samples to reconstruct an accurate reconstruction of a desired image than previous methods, such as, compressed sensing. Another aspect of the invention is to provide an image reconstruction method that produces a time series of desired images indicative of a higher temporal resolution than is ordinarily achievable with the imaging system. For example, cardiac phase images can be produced with high temporal resolution (e.g., 20 milliseconds) using a CT imaging system with a slow gantry rotation speed.

Systems, methods, and computer-readable storage media for performing a visual rewind operation in an image editing application may include capturing, compressing, and storing image data and interaction logs and correlations between them. The stored information may be used in a visual rewind operation, during which a sequence of frames (e.g., an animation) depicting changes in an image during image editing operations is displayed in reverse order. In response to navigating to a point in the animation, data representing the image state at that point may be reconstructed from the stored data and stored as a modified image or a variation thereof. The methods may be employed in an image editing application to provide a partial undo operation, image editing variation previewing, and/or visually-driven editing script creation. The methods may be implemented as stand-alone applications or as program instructions implementing components of a graphics application, executable by a CPU and/or GPU.

Embodiments of the present invention relate to a Surrounding Neighbors based Autocalibrating Partial Parallel Imaging (SNAPPI) approach to MRI reconstruction. Several 2D PPI reconstruction methods may be provided by applying SNAPPI to recover the partially skipped k-space data along two PE directions separately or non-separately, in k-space or in the hybrid k-space and image-space.

The present invention discloses a 3D (three-dimensional) convolutional neural network based human body behavior recognition method, which is mainly used for solving the problem of recognition of a specific human body behavior in the fields of computer vision and pattern recognition. The implementation steps of the method are as follows: (1) carrying out video input; (2) carrying out preprocessing to obtain a training sample set and a test sample set; (3) constructing a 3D convolutional neural network; (4) extracting a feature vector; (5) performing classification training; and (6) outputting a test result. According to the 3D convolutional neural network based human body behavior recognition method disclosed by the present invention, human body detection and movement estimation are implemented by using an optical flow method, and a moving object can be detected without knowing any information of a scenario. The method has more significant performance when an input of a network is a multi-dimensional image, and enables an image to be directly used as the input of the network, so that a complex feature extraction and data reconstruction process in a conventional recognition algorithm is avoided, and recognition of a human body behavior is more accurate.

The invention discloses a user data reconstruction attack method oriented to deep federal learning, which can reconstruct private data of a specific user and consider that attacks are implemented by amalicious server, so that negative effects are prevented from being introduced into an original shared model compared with a conventional attack method which can only reconstruct category representation data. Furthermore, the method introduces a multi-task generative adversarial model to simulate the distribution of user data, and the model is used for training the authenticity and category of aninput sample and the identification of the user identity to which the model belongs, so that the quality of the generated sample is improved. In order to better distinguish different users, the method introduces an optimized user data representative calculation method to describe user characteristics participating in federal learning, and the method is used for supervising training of a generative adversarial model. For an existing federal learning architecture concerning privacy protection, privacy leakage can be caused by a data reconstruction attack based on a multi-task generative adversarial model provided by the invention.

A system and method for tomographic image reconstruction using truncated limited-angle projection data that allows exact interior reconstruction (interior tomography) of a region of interest (ROI) based on the linear attenuation coefficient distribution of a subregion within the ROI, thereby improving image quality while reducing radiation dosage. In addition, the method includes parallel interior tomography using multiple sources beamed at multiple angles through an ROI and that enables higher temporal resolution.

The invention provides a self-adaptive EEG signal ocular artifact automatic removal method, which belongs to the technical field of biological information and is mainly used in a pretreatment process for acquiring an EEG signal. The method comprises: performing real-time empirical mode decomposition (EMD) of collected EEG data having ocular artifacts; performing Hilbert transform of all obtained mode components to obtain a instantaneous frequency; according to the time-frequency property of the ocular artifacts in the EEG signal and the statistical property of the empirical mode components, performing the threshold filtering of all obtained mode components; and performing data reconstruction by using all mode components obtained after filtration. The method solves the manual screening problem of the empirical mode components having the ocular artifacts, thereby automatically removing the ocular artifacts from the EEG signal.

On disk failure, the storage system migrates only those disk blocks that included allocated data, and treats unallocated disk blocks as being logically zero when possible. When there is no spare disk, the source data block is logically set to zero and parity is recalculated for the RAID stripe associated with the source data block. When there is a spare, unallocated blocks on the spare are logically or physically set to zero upon migration. Write operations for the failed disk are redirected to other non-failing disks, and a record of which in-use disk blocks have been thus “migrated” to those other non-failing disks in maintained. Unused disk blocks are proactively set to zero. A target mirror copy is created using information regarding allocated disk blocks, by copying those blocks including allocated data or parity, and by clearing at the mirror those blocks not including any allocated data or parity.

A method for imaging objects in a highly scattering turbid medium comprises: using a group of sources and detectors to generate a plurality of emergent energy waves from the medium, determining the intensity data of the emergent energy waves and processing the intensity data by using an image reconstruction algorithm. Arrangement of sources-detectors may be in parallel (transmission and/or backscattering) geometry or in cylinder geometry. The reconstruction algorithm is a novel hybrid dual Fourier tomographic algorithm for a fast 3D image reconstruction. The forward models are the radiative transfer model based on the cumulant solution of the radiative transfer equation or the diffusion model based on the approximate diffusion equation.

In various embodiments, a high-density solid-state storage unit includes a plurality of flash cards. Each flash card has a flash controller that incorporates one or more resources for facilitating compression and decompression operations. In one aspect, data reduction and data reconstruction operations can be performed in-line as data is stored to and retrieved from flash memory. In another aspect, data reduction and data reconstruction operations can be performed as a service. Any one of the plurality of flash cards can be used to provide data reduction or data reconstruction services on demand for any type of data, including system data, libraries, and firmware code.

A computer system for the indexing of data in which a heuristic determination function is applied to predict an efficient index updating approach. The system is able to update an index relating to a first data set by incrementally updating the index or by a rebuild of the index at the completion of the addition of a second set of data to the first set of data. The system applies a heuristic determination function to the characteristics of the first set of data, its index, and the second set of data, to predict whether an incremental update or a rebuild update of the index will result in a more efficient rebuild of the data. The system applies this approach to a restore and rollforward recovery or a data load operation to improve the efficiency of these operations.

The present invention relates to an image reconstruction device (12) for an X-ray apparatus and a method for local 3D reconstruction of an object area of an examination object (7) from 2D image data of several 2D X-ray images of the examination object (7) registered in chronological order with different known projection geometries using the X-ray apparatus. With the method a location in the object area under consideration is selected from one of the 2D X-ray images. The positions of the selected location are determined in at least some of the 2D X-ray images and a spatial motion of the selected location between the registrations of the 2D X-ray images is calculated from the positions obtained, taking the known projection geometries into consideration. The calculated motion is then annulled by modifying the 2D image data in the 2D X-ray images and a 3D image dataset of at least the object area is reconstructed from the modified 2D image data. The method and the image reconstruction device enable a 3D image of a moving locally bounded object area to be reconstructed in a simple way without motion artifacts.

Fault tolerance in a redundant array of disk drives is degraded when error conditions exist in the array. Several methods for rebuilding data of the array to remove the degradation are described. Data rebuilding for entire disk drives and partial data rebuilds of disk drives are described. All rebuild methods tend to reduce the negative affect of using array resources for the data rebuild. In one method rebuilding occurs during idle time of the array. In a second method rebuilding is interleaved between current data area accessing operations of the array at a rate which is inversely proportional to activity level of the array. In a third method, the data are rebuilt when a data area being accessed is a data area needing rebuilding.

The present invention provides a disk fault processing method in a disk array system and a data reconstruction method, including: the disk of the disk array generates read-write faults; the fault data block is located, the residual correction data of the fault disk is retained, the fault information table is checked, the strip of the faulty data block whether existing other fault data blocks or not is judged, if yes, the disk array system is provided to a ''read-only mode'', forbidding user execute write operation, if not, the position information of the fault data block is recorded in the fault information table, then whether a redundancy data disk existing in the disk array system or not is judged, if not, entering in the ''degradation'' operation mode, otherwise, the fault data block is processed with data reconstruction, recovering the fault data.

A method and system for producing synthesizer and MIDI control data and for reconstructing and reproducing a signal from data collected by sensors coupled to a string instrument comprising a plurality of sensors coupled to the string instrument and a control unit that is associated with the plurality of sensors. The sensors are adapted to collect temporal and spatial data referring to performer's actions and to the sound generation process of the string instrument, specifically as to string deflection along time, while the control unit is adapted to process the data and generate a signal corresponding to the sound characteristics of the performer's playing and actions on the string instrument.

A method for reconstructing a time series of images from data acquired with a medical imaging system is provided. Data is acquired with the medical imaging system, and a set of image blocks that defines the location and size of each of a plurality of image blocks in the image domain is then selected. The acquired data and selected image block set are then used to jointly estimate a plurality of images that form a time series of images while promoting locally-low rank structure in the images.

The invention discloses an agricultural drought grade monitoring method based on a temperature vegetation drought index (TVDI). The method comprises the following steps of: 1, data preparation; 2, land surface temperature (LST) data reconstruction; 3, construction of crop plantation area normalized difference vegetation index-land surface temperature (NDVI-LST) feature space; 4, TVDI calculation; and 5, drought grade monitoring based on the TVDI. The invention brings forward an LST data reconstruction method based on multi-year background values and area fluctuation values, a cultivated land area multi-year NDVI-LST feature space is constructed for crops, the TVDI is calculated, a crop drought grade monitoring model based on a supervision classification idea is designed for drought grade remote sensing monitoring, the model can quite accurately reflect drought threat degrees of the crops under difference conditions in real time, and the method has great significance in monitoring, early warning and prevention of agricultural disasters.