1664 results about "Missing data" patented technology

The present invention is directed to a method for inferring/estimating missing values in a data matrix d(q, r) having a plurality of rows and columns comprises the steps of: organizing the columns of the data matrix d(q, r) into affinity folders of columns with similar data profile, organizing the rows of the data matrix d(q, r) into affinity folders of rows with similar data profile, forming a graph Q of augmented rows and a graph R of augmented columns by similarity or correlation of common entries; and expanding the data matrix d(q, r) in terms of an orthogonal basis of a graph Q×R to infer/estimate the missing values in said data matrix d(q, r) on the diffusion geometry coordinates.

A latency reduction method for read operations of an array of N solid-state storage devices having n solid-state storage devices for data storage and p solid-state storage devices for storing parity data is provided. Utilizing the parity generation engine fault tolerance for a loss of valid data from at least two of the N solid-state storage devices, the integrity of the data is determined when N−1 of the solid-state storage devices have completed executing a read command. If the data is determined to be valid, the missing data of the N^th solid-state storage device is reconstructed and the data transmitted to the requesting processor. By that arrangement the time necessary for the N^th solid-state storage device to complete execution of the read command is saved, thereby improving the performance of the solid-state memory system.

Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. Such improved scanners can use image analysis techniques, such as interpolation between partial fingerprint images to correct for missing data, or discarding redundant partial fingerprint image data, to produce adequate fingerprint images even when the finger has not been applied to the sensor using an optimum technique.

Systems and methods are disclosed for employing matching techniques for cross-platform monitoring. A content sequence is produced for determining network content accessed at certain times by a computer registered to a particular user. Another content sequence is produced for determining media exposure at certain times for a portable user device registered to the same user. The content sequences are then processed and compared in a resolution server to validate the content sequences against each other, and to populate either or both sequences with missing data.

A method and apparatus are provided for filling a gap of missing data using source specified data. The method includes analyzing a first set of data representative of utility consumption for a plurality of days to determine clusters of days of the week having similar utility consumption. The method further includes generating an individual profile of utility consumption for each cluster, and copying data from at least one individual profile into the gap to form a second set of data without any gaps. A system for filling a gap of missing data using source specified data includes a microprocessor programmed to copy data from at least one individual profile into the gap, and to adjust the copied data up or down to account for local trend information adjacent to the gap.

A method and apparatus are described including determining a number of clips to be streamed, requesting a selection of a mesh cache server to meet quality of service requirements for streaming the determined number of clips, establishing a streaming route responsive to the mesh cache server selection, receiving the number of streamed clips from the selected mesh cache server if the request is granted, joining a peer-to-peer network, downloading a next clip via the peer-to-peer network, requesting a selection of a mesh cache server to meet quality of service requirements for complimentary streaming any data missing from the next clip, receiving any data missing from the next clip via complimentary streaming if the request for complimentary streaming is granted and continuing to download any missing data of the next clip that has at least one of not passed its playback deadline and not been requested via complimentary streaming.

A user interface may be designed to receive conflicting data from multiple data sources during a merger of legacy computer systems. The interface automatically validates the conflicting data against each other to generate a final data set for review. Summary information for each data set can be displayed in a single interface such that the summary data sets are individually selectable and provide an overview of the data merger process for each data set. By drilling down through the summary data, the user interface can display individual data sets where data conflicts can be resolved, missing data can be provided, and duplicate data can be eliminated. When the merger process is complete, the interface can translate the data set into a standardized format that can be exported to form generation modules to generate, for example, a welcome letter based on the translated data set.

The invention provides a method and a system for predicting cardiovascular and cerebrovascular disease risks. The method comprises the following steps: step 1, defining problems of cardiovascular and cerebrovascular disease prognosis risk prediction, step 2, collecting health medical data of cardiovascular and cerebrovascular disease patients; step 3, preprocessing data, including data integration, data cleaning, and processing missing data; step 4, constructing features and selecting features, identifying potential risk factors; step 5, the identified risk factors and rehabilitation outcomes forming an input-output sample set, inputting the input-output sample set to a random forest algorithm for model training, and evaluating prediction performance of a model. The method and the system can obtain health medical data of cardiovascular and cerebrovascular disease patients, the data being required by a clinician input model, and a predicted rehabilitation outcome of a patient in a certain time period in future is obtained through the model. The method and the system can preferably predict prognosis risks, so as to realize personalized accurate rehabilitation treatment.

An apparatus, system, and method are disclosed for reconfiguring an array of solid-state storage elements protected using parity data. The storage element error module determines that one or more storage elements are unavailable to store data (“unavailable storage elements”). The storage element resides in an array with N number of storage elements storing a first ECC chunk and P number of storage elements storing first parity data. The reconfigure data read module reads data from storage elements other than the unavailable storage elements. The data regeneration module uses the first parity data to regenerate missing data from the first ECC chunk. The data reconfiguration module creates a second ECC chunk. The new configuration storage module stores a portion of the second ECC chunk and associated second parity data on (N+P)−Z number of storage elements, wherein 1≦Z≦P.

A adaptive filter interpolation method and system for the demosaicing of color images. In general, input pixels are input in a Bayer-mosaiced pattern (only one color per pixel), and output pixels are in full RGB mode (three color values per pixel). For each pixel location, in raster scan order, the processing steps can be summarized as follows. Following a regular raster scanning order (from left to right and top to bottom), for each pixel location horizontal and vertical gradients are first computed (whose computation depends on the available color for that pixel), and from those the appropriate interpolation filters are chosen from a small set of predetermined filters. Then, the chosen filters are applied to interpolate the missing data.

An apparatus for routing data packets includes a network interface, a memory, a general purpose processor and a flow classifier. The memory stores a flow structure. Every packet in one flow has identical values for a set of data fields in the packet. The memory stores instruction that cause the processor to receive missing flow data and to add the missing flow to the flow structure. The apparatus forwards a packet based on the flow. The flow classifier determines a particular flow and whether it is already stored in the flow structure. If not, then the classifier determines whether that flow has already been sent to the processor as missing data. If not, then the classifier stores into a different data structure data that indicates the flow has been sent to the processor but is not yet included in the flow data structure, and sends missing data to the processor.

A method and apparatus for predicting traffic on a transportation network where real time data points are missing. In one embodiment, the missing data is estimated using a calibration model comprised of historical data that can be periodically updated, from select links constituting a relationship vector. The missing data can be estimated off-line whereafter it can be used to predict traffic for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network. The invention further discloses a method for in-vehicle navigation; and a method for traffic prediction for a single lane.

A method, data processing system and computer program product enables efficient transfer of a virtual machine from a first data processing system (DPS) to a second DPS using a combination of Transmission Control Protocol (TCP) and Uniform Data Protocol (UDP). A virtual machine migration (VMM) utility identifies all memory pages of the first virtual machine. The VMM utility notifies the second DPS via TCP of the scheduled transfer of the virtual machine. The VMM utility copies and transfers the memory pages of the virtual machine to the second DPS via UDP. When all expected components of the virtual machine are not received by the second DPS and/or memory data is modified within the memory pages during the migration, the VMM utility combines the missing data and the modified data and transfers the final components of the virtual machine using TCP. Execution of the virtual machine resumes on the second DPS.

Systems and methods for automated segmentation of anatomical structures, such as the human heart. The systems and methods employ convolutional neural networks (CNNs) to autonomously segment various parts of an anatomical structure represented by image data, such as 3D MRI data. The convolutional neural network utilizes two paths, a contracting path which includes convolution/pooling layers, and an expanding path which includes upsampling/convolution layers. The loss function used to validate the CNN model may specifically account for missing data, which allows for use of a larger training set. The CNN model may utilize multi-dimensional kernels (e.g., 2D, 3D, 4D, 6D), and may include various channels which encode spatial data, time data, flow data, etc. The systems and methods of the present disclosure also utilize CNNs to provide automated detection and display of landmarks in images of anatomical structures.

This invention relates generally to a packet recovery algorithm for real-time (live) multi-media communication over packet-switched networks, such as the Internet. Such multi-media communication includes video, audio, data or any combination thereof. More specifically, the invention comprises a forward error correction (FEC) algorithm that addresses both random and burst packet loss and errors, and that can be adjusted to tradeoff the recoverability of missing packets and the latency incurred. The transmitter calculates parity packets for the rows, columns and diagonals of a block of multi-media data packets using the exclusive or (XOR) operation and communicates the parity packets along with the multi-media data packets to the receiver. The receiver uses the parity packets to recover missing multi-media data packets in the block. The FEC algorithm is designed to be able to recover long bursts of consecutive missing data packets. If some parity packets are missing, they too can be recovered using an extra single parity packet, so that they can be used to recover other missing data packets. The invention applies to both one-way real-time streaming applications and two-way real-time interactive applications, and to both wired and wireless networks. The invention retains backwards compatibility with existing standards governing FEC for professional video over IP networks.

In a sensor network system comprising a sensor terminal and a management server, the sensor terminal transmits observation data acquired using the sensor, the management server has a latest data storage manager which manages the latest observation data among observation data received from the sensor terminal, a history data storage manager which manages the history of the observation data from any time when data was received from the sensor terminal to the latest observation data, and a missing data manager which manages missing history data, and compensates the missing history data based on a predetermined rule, and when a request for such observation data is received, at least one of the latest observation data managed by the latest data storage manager, and history data wherein the missing data has been compensated and managed by the history data storage manager, is output according to the type of request.

Computer-implemented methods and systems for retrieving potential real estate leads such as expired MLS listings, for-sale-by-owner properties, and foreclosures are described. Expired listings and/or the other leads may be automatically updated, by scanning several electronic sources to discover owner information and when a property is sold or listed/re-listed with a real estate agent. Missing data from the listings may be identified and completed where possible. Moreover, the systems and methods search for and supplement the leads with supplemental information such as property tax data, population demographics, recent comparable sales in the area, et cetera.

The recovery of data during programming, such as in the case of a broken word-line, is considered. The arrangement described assumes that k pages may be corrupted when the system finishes programming a block. Then these corrupted pages can be recovered using an erasure code. In order to recover any k pages, the system will compute and temporarily store k parity pages in the controller. These k parity pages may be computed on-the-fly as the data pages are received from the host. Once programming of the block is finished, a post-write read may be done in order to validate that the data is stored reliably. If no problem is detected during EPWR, then the parity pages in the controller may be discarded. In case a problem is detected, and data in up to k pages is corrupt on some bad word-lines, then the missing data is recovered using the k parity pages that are stored in the controller and using the other non-corrupted pages that are read from the block of the memory array and decoded. Once the recovery is complete the block can be reprogrammed and the temporary parity pages in the controller may be discarded upon successfully reprogramming.

A machine for processing continuous glucose monitoring data and issuing an alert if hypoglycemia is imminent has three modules: (a) a pre-processing module that receives and modulates continuous glucose monitoring data by reducing noise and adjusting for missed data points and shifts due to calibration; (b) a core algorithm module that receives data from the pre-processing module and calculates a rate of change to make a hypoglycemia prediction, and determine if hypoglycemia is imminent; and (c) an alarm mode module that receives data from the core algorithm and issues an audio or visual alert or warning message or a negative feedback signal to an insulin delivery device if hypoglycemia is imminent.

Various embodiments of the present invention relate generally to systems and methods for artificially rendering images using viewpoint interpolation and/or extrapolation. According to particular embodiments, a transformation between a first frame and a second frame is estimated, where the first frame includes a first image captured from a first location and the second frame includes a second image captured from a second location. An artificially rendered image corresponding to a third location positioned on a trajectory between the first location and the second location is then generated by interpolating a transformation from the first location to the third location and from the third location to the second location and gathering image information from the first frame and the second frame by transferring first image information from the first frame to the third frame based on the interpolated transformation and second image information from the second frame to the third frame based on the interpolated transformation. The first image information and the second image information are then combined. If an occlusion is created by a change in layer placement between the first frame and second frame, this occlusion is detected and missing data is replaced to fill the occlusion.

A method and system updates a network of sensors remotely through the use of a communication link. The sensors to be updated as well as data files to perform the updating are selected at a base station. The selected sensors are notified of the upcoming update by the base station and may accept or reject the update. The sensors that approve the update then receive data files through the communication link. The sensors notify the base station of any missing data files, which are then retransmitted to all sensors that may be missing data files from the first transmission. After the sensors receive all data files, the update is initiated.

The invention discloses a credit score management method and system based on a block chain. Block chains are created for all school servers and are de-centered trust-free novel data frameworks, all participating schools are provided with one block chain to form a league chain, and scores and credits of all students in all the schools are stored, so that the server of each school has one complete set of data; when the server of a certain school is attacked or misses data, the data of the other schools are not influenced; moreover, recovery and rebuilding can be performed according to the data of other schools, so that the attack resistance of the whole block chain is ensured, and unified management for the credits and scores of the students in all the schools is realized.