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352 results about "Data level" patented technology

Data Levels of Measurement. A variable has one of four different levels of measurement: Nominal, Ordinal, Interval, or Ratio. (Interval and Ratio levels of measurement are sometimes called Continuous or Scale).

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

Multi-level ONO flash program algorithm for threshold width control

Methods of programming a wordline of multi-level flash memory cells (MLB) having three or more data levels per bit corresponding to three or more threshold voltages are provided. The present invention employs an interactive program algorithm that programs the bits of the wordline of memory cells in two programming phases, comprising a rough programming phase and a fine programming phase to achieve highly compact Vt distributions. In one example, cell bit-pairs that are to be programmed to the same program pattern are selected along a wordline. Groups of sample bits are chosen for each wordline to represent each possible program level. The sample bits are then programmed to determine a corresponding drain voltage at which each sample group is first programmed. This fast-bit drain voltage (Fvd) for each program level essentially provides a wordline specific program characterization of the Vt required for the remaining bits of that wordline. In the rough programming phase, the bits of core cells are then programmed from a starting point that is relative to (e.g., slightly less than or equal to) the fast-bit Vd and according to a predetermined Vd and Vg profile of programming pulses. The bits of the complementary bit-pairs are alternately programmed in this way until the Vt of the bits attains a rough Vt level, which is offset lower than the final target threshold voltage level. Then in the second fine programming phase, the bits of the MLB cells of the wordline are further programmed with another predetermined Vd and Vg profile of programming pulses until the final target threshold voltage is achieved. The Vd and Vg profiles of programming pulses may further be tailored to accommodate the various bit-pair program pattern combinations possible. In this way, the bits of each wordline are fine-tune programmed to a data state to achieve a more precise Vt distribution, while compensating for the effects of complementary bit disturb.
Owner:LONGITUDE FLASH MEMORY SOLUTIONS LTD

Semiconductor memory device and data write method thereof

A semiconductor memory device including a memory cell array and a sense amplifier, wherein the memory cell array includes: a plurality of information cells, in each of which either one of multi-level data is written; a first reference cell with the same structure and the same connection state as the information cell, in which a reference data level is written for generating a first reference current; and a second reference cell, which serves for generating a second reference current used for setting the lowest data level of the multi-level data and for setting the reference data level of the first reference cell.
Owner:KIOXIA CORP

Transaction data-based anti-fraud monitoring method and device

The invention provides a transaction data-based anti-fraud monitoring method, which comprises the following steps of: receiving a business transaction request submitted by a client through a client terminal; verifying legality of the business transaction request; if the verification is passed, performing data evaluation on the current business transaction request of the client and a previously stored transaction data file of the client to determine an evaluation value of the current business transaction request; comparing the determined evaluation value with a predetermined threshold value; and determining that the current business transaction request is suspicious fraudulent transaction if the determined evaluation value exceeds the predetermined threshold value. The invention also provides a corresponding device. By implementing the method and the device provided by the invention, the security of business transaction can be improved on the data level of business transaction data analysis.
Owner:CHINA CONSTRUCTION BANK

Hierarchical multi-source data fusion method for pipeline linkage monitoring network

The invention discloses a hierarchical multi-source data fusion method for a pipeline linkage monitoring network, which comprises the following steps: carrying out data level preprocessing for various primary linkage detection signals acquired by a sensor at a common node of the monitoring network by using wavelet transformation, and extracting leakage-sensitive characteristic parameters; establishing a characteristic level data fusion model based on an ant colony neural network, processing the leakage characteristic parameters extracted by various sensors on the node, and constructing an elementary probability assignment function of evidence according to the output result of the ant colony neural network; and carrying out evidence synthesis at a cluster-head node according to an evidence combination rule, and making final decisions according to a maximum trust value method. The invention provides the hierarchical multi-source linkage detection data fusion method from the data level and characteristic level to decision level, and solves the multi-source data processing problem of the pipeline linkage monitoring network; and the method utilizes the linkage detection information acquired by various sensors in the network so as to effectively improve the accuracy rate of leakage identification.
Owner:BEIHANG UNIV

Semiconductor memory device

A semiconductor memory device includes: first and second cell arrays each having a plurality of memory cells; and a sense amplifier circuit for reading out data of the first and second cell arrays, wherein plural information cells and at least one reference cell are set in each of the first and second cell arrays, one of four data levels L0, L1, L2 and L3 (where, L0<L1<L2<L3) being written into the information cell, reference level Lr (where, L0<Lr<L1) being written into the reference cell to used for detecting the data level of the information cell, and wherein the sense amplifier circuit detects a cell current difference between the information cell and the reference cell simultaneously selected from the first and second cell arrays.
Owner:KK TOSHIBA

Data level disaster-tolerant method and system and production center node

ActiveCN101741536ASpeed ​​up data backupImprove reliabilityError preventionData capacityDependability
The invention discloses a data level disaster-tolerant method. The method comprises the following steps of: performing snapshot process on data generated through the operation of an application program to generate snapshot mirror data; performing local data de-duplication on the snapshot mirror data to generate the data processed through the local data de-duplication and the corresponding index data; performing global data de-duplication on the data processed through the local data de-duplication and the corresponding index data to generate the data processed through the global data de-duplication and the index data; and transmitting the data processed through the global data de-duplication and the index data to a backup center node. The invention also discloses a data level disaster-tolerant system and a production center node, which can reduce the capacity of the data transmitted between the production center node and the backup center node and the requirement on network bandwidth performance so as to realize the data level disaster tolerance more rapidly and effectively and enhance the reliability and availability of the disaster-tolerant system.
Owner:ZTE CORP

Road vision detection method combined with laser point cloud data

The invention discloses a road vision detection method combined with laser point cloud data, belongs to the field of unmanned driving, and solves the problem of multi-sensor fusion in the prior art. The method comprises the steps of performing data-level fusion on the point cloud data and the image data; performing road division on each frame of image in the image data, and performing conversion after division to obtain an illumination-invariant space image; according to the M estimation sample consistency, performing plane fitting on the point cloud data after data level fusion to obtain a point cloud data coarse division result; performing road feature extraction on each frame of image, the illumination-invariant space image and the point cloud data coarse division result of the image data after data level fusion and the point cloud data after data level fusion corresponding to each frame of image; respectively sending the extracted road features into two random forests for training,and obtaining probability output of each pixel point and probability output of each point cloud data; and constructing each point cloud-image mixed conditional random field to obtain a road area. Themethod is used for road vision detection.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Quantitative adulteration detection method for peanut oil based on multiple-source spectroscopic data fusion

ActiveCN104807803AComprehensive Internal Characteristic InformationComprehensively reflect internal feature informationRaman scatteringNon destructiveQuantitative model
The invention discloses a quantitative adulteration detection method for peanut oil based on multiple-source spectroscopic data fusion. The quantitative adulteration detection method comprises the following steps: oil sample preparation; spectrum acquisition: respectively acquiring Raman spectrograms and near-infrared spectrograms of all adulterated oil samples; spectroscopic data fusion: performing data level fusion on the preprocessed Raman spectrograms and the preprocessed near-infrared spectrograms to obtain a fusion spectrogram; quantitative adulteration model establishment: extracting characteristic wavelengths of the fusion spectrogram, and establishing a quantitative peanut oil sample adulteration model through a multivariate quantitative calibration method; model verification: analyzing samples to be detected. The detection method performs data fusion on the edible oil spectrograms of two spectrums, has good complementarity, can reflect the inner characteristic information of edible oil more comprehensively, and is quick, convenient, efficient, non-destructive, free from preprocessing, high in accuracy, and strong in applicability.
Owner:WUHAN POLYTECHNIC UNIVERSITY

Distributed storage method based on KEY-VALUE pair

The invention particularly relates to a distributed storage method based on a KEY-VALUE pair. The distributed storage method based on the KEY-VALUE pair comprises an operation receiving layer, a cache searching layer and an operation processing layer, wherein after receiving user data, the operation receiving layer of a server completes splicing of the key-value pair through internal data organization; a bottom layer is divided into different data levels for disk landing and is meanwhile responsible for analyzing and reading following data; since the access of the key value pair belongs to lightweight database type operation without metadata, and is appended to write in, time consumption brought by disk landing of random small files can be avoided. According to the distributed storage method based on the KEY-VALUE pair, the bottom layer storage is modified to be a key-value pair mode, so that the whole storage cluster can more quickly and efficiently process the small files, and IO loss caused by frequent addressing along with small file random write-in in a traditional distributed storage or local storage mode is avoided, and the storage efficiency under such scene is greatly improved.
Owner:INSPUR GROUP CO LTD
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