110 results about "Standard sequence" patented technology

A system for pattern dependent equalization has an equalizer bank and a detector. The equalizer bank has a plurality of equalizers, which are each tuned to a selected data pattern. The detector may be a standard sequence detector or a modified Viterbi detector, which calculates the branch metric using a pattern dependent equalized output and a pattern-dependent target. A method of decoding data uses a pattern dependent equalizer bank. The pattern dependent equalizer bank processes a segment of a bit sequence to produce an equalized pattern-dependent output for each equalizer in parallel. The detector then detects the bit sequence using the branch metric calculation to select the smallest accumulated path metric.

The invention discloses a voice recognition method and device, computer equipment and a storage medium. The method includes: obtaining voice data input by a user according to an original text, segmenting voice data into voice fragments for recognition and conversion processing to obtain converted statements and conversion sequence numbers, creating variable storage space for each converted statement, preprocessing the original text to obtain a standard statement and a standard serial number, segmenting each converted statement to obtain a character string to be matched to be used for being matched with the standard statement, storing the standard sequence number of the successfully matched standard statement in the variable storage space for analysis and processing, storing the obtained voice fragments that are wrongly converted and the standard sentence in a voice library as a data set, and training a voice recognition model based on the data set, so that the trained voice recognitionmodel performs error correction on detected voice data. The technical scheme of the invention can enhance a voice error correction capability of the voice recognition model, and improve the accuracyrate of the voice recognition model.

A method for increasing the integration level of superconducting electronic circuits, comprising fabricating a series of planarized electrically conductive layers patterned into wiring, separated by planarized insulating layers, with vias communicating between the conductive layers. Contrary to the standard sequence of patterning from the bottom up, the pattern of vias in at least one insulating layer is formed prior to the pattern of wiring in the underlying conductive layer. This enables a reduction in the number of planarization steps, leading to a fabrication process which is faster and more reliable. In a preferred embodiment, the superconductor is niobium and the insulator is silicon dioxide. This method can provide 10 or more wiring layers in a complex integrated circuit, and is compatible with non-planarized circuits placed above the planarized wiring layers.

The invention discloses an HLA (human leukocyte antigen) gene specific PCR (polymerase chain reaction) amplification primer, an HLA typing method and an HLA typing kit. A sequence of the PCR amplification primer comprises a primer sequences shown as SEQ ID No. (sequence identification number) 1-2, 3-4, 5-6, 7-8 and 9-10. The HLA gene typing method comprises the steps that the HLA gene specific PCR amplification primer is used for conducting PCR amplification and purification on sample DNA (deoxyribonucleic acid); a gene exon sequencing primer is used for conducting sequencing PCR amplification, purification and sequencing on an HLA gene amplification product, the sequence of the HLA gene amplification product is compared with a standard sequence; and the type of the HLA gene is determined. The HLA gene typing kit comprises the PCR amplification primer and the sequencing primer. A qualitative leap in aspects of detection flux, data quality, cost control and the like is achieved; data is more reliable and realer; and the problem that typing cannot be conducted when nucleotide of certain alleles is positioned outside an amplification area is solved.

The invention discloses a bacterial nucleic acid sequencing identification method based on a DNA bar code. Common bacterial contaminants in a medicine production environment can be effectively and accurately identified. The bacterial nucleic acid sequencing identification method comprises the steps that 1, a monoclonal bacterial strain is obtained through culture; 2, a genome DNA of the monoclonal bacterial strain obtained in the step 1 is extracted; 3, PCR is performed by using a general nucleic acid sequencing primer to amplify a specific sequence of nucleic acids; 4, a PCR product is extracted and purified; 5, a nucleic acid sequence of the PCR product obtained in the step 4 is determined; 6, a sequence analysis software is applied to perform sequence splicing, positioning is performed by using a general nucleic acid sequencing primer pair, a primer region is removed, and a DNA sequence of a corresponding fragment is obtained; 7, the DNA sequence of the corresponding fragment in the step is imported into a DNA bar code standard sequence core database or a GenBank database for sequence comparison, and bacteria are identified.

The invention relates to a time sequence approximate match-based big data abnormal state detection method and system. The method comprises the following steps: partitioning a to-be-detected time sequence into multiple sets according to a data range of the to-be-detected time sequence and a preset partitioning coefficient, and expressing the to-be-detected time sequence through a one-dimensional to-be-detected sequence consisting of numbers of sets where data points are located; expressing a standard time sequence by a one-dimensional standard sequence in the same way; performing Harsh calculation on the one-dimensional to-be-detected sequence and the one-dimensional standard sequence; calculating Jaccard coefficients of the one-dimensional to-be-detected sequence and the one-dimensional standard sequence, and judging that the time sequence with the Jaccard coefficient less than a preset threshold value is a sequence in an abnormal state. According to the time sequence approximate match-based big data abnormal state detection method, by combination of set-based time sequence partitioning and Harsh calculation, the calculation amount of the Jaccard coefficients is reduced; furthermore, the sequence can be further partitioned from coarse to fine, so that the whole calculation speed is guaranteed, and the abnormal state detection precision is also guaranteed.

The invention discloses a fast video detection method and device based on video fingerprints, which can identify the consistency between simply edited video and a homogenous video, thereby automatically controlling an infringing video which is repeatedly uploaded by a user, and reducing labor cost. The technical scheme provides the method which comprises the following steps of decoding an input video to obtain YUV (luma and chroma) components; performing dimension division for the Y components of the kth frame after the video is converted, obtaining an N*M array, wherein the dimension of each frame is N*M; calculating a center-of-mass gradient direction of the array for each block in the array, and obtaining a three-dimensional fingerprint vector of the kth frame; obtaining a fingerprint sequence according to the calculated three-dimensional fingerprint vector of the kth frame; matching the fingerprint sequence with a pre-extracted standard sequence vector of an object video, and identifying whether the input video and the target video are homogenous.

The invention discloses a breakdown detection system and a method for a concrete mixing plant. According to the breakdown detection system and the method for the concrete mixing plant, an information obtaining device is used for obtaining an operation starting signal and an operation achieving signal sent from the equipment of the concrete mixing plant and generating into an operating production sequence; a breakdown detection device is used for comparing the operating production sequence with a preset operating standard sequence; when the error between the operating production sequence and the preset operating standard sequence is larger than a preset breakdown threshold value, the device is judged to be broken down. The breakdown detection system and the method for the concrete mixing plant can generate into the production sequence, dynamically compare the production sequence with the standard sequence, warns potential breakdowns and displays occurred breakdowns by working out the error between the production sequence and the standard sequence, enable the breakdowns to be conveniently judged and enable the production sequence to be visually observed.

The invention, relating to a method of recognizing whether an input video is a 3:2 drop-down film mode or a common interlacing scan video, claims a method for detecting video signals in film mode, aiming at the defects of fixed threshold in existing technology, un-adaptation of video with great fluctuation of field difference and the existence of video signals with a little movement information. The method for detecting film modes of the invention is based on that every seven continuous input fields of the interlacing signals in film mode all contain a pair of copying fields which are totally the same in theory; a 5bits sequence is obtained by counting diversity of a field difference which is the nearest to the homopolar filed in the seven continuous fields; the sequence is compared with a standard sequence group in film mode; current field is judged to be the video filed in film mode if they are the same, otherwise, current field is judged to be a filed not in film mode. The invention is mainly used in de-interlacing process field of television signals.

It is an object to provide a sequence allocating method that, while maintaining the number of Zadoff-Chu sequences to compose a sequence group, is configured to make it possible to reduce correlations between different sequential groups. This method comprises the steps of setting a standard sequence with a standard sequence length (Nb) and a standard sequence number (rb) in a step (ST101), setting a threshold value (Xth(m)) in accordance with an RB number (m) in a step (ST103), setting a sequence length (N) corresponding to RB number (m) in a step (ST104), judging whether ]r/N-rb/Nb]<=Xth(m) is satisfied in a step (ST106), including a plurality of Zadoff-Chu sequences with a sequence number (r) and a sequence length (N) in a sequence group (rb) in a step (ST107) if the judgment is positive, and allocating the sequence group (rb) to the same cell in a step (ST112).

A nonvolatile memory device includes a memory cell array, a voltage generator, and a control circuit. The voltage generator generates word-line voltages to be applied to the memory cell array. The control circuit generates control signals that control the voltage generator in response to a command and an address. The control circuit includes a hacking detection circuit. The hacking detection circuit disables an operation of the nonvolatile memory device when a hacking is detected, wherein the hacking is detected when an access sequence of the command and the address does not match a standard sequence of the nonvolatile memory device a consecutive number of times.

The invention relates to a telephone traffic prediction method based on periodic dependence. The method comprises steps of collecting background data of a telephone traffic center; carrying out preprocessing to obtain telephone traffic; extracting features of periodic dependence of telephone traffic in different time units, adding feature dimensions to the extracted features, inputting all the features and corresponding target values into an algorithm model, obtaining a stable model after training, and inputting telephone traffic prediction request data into the model to obtain telephone traffic prediction. The method does not depend on a standard sequence model, the periodic dependency relationship of the telephone traffic in different time units is fully considered, and the change trendof the telephone traffic in different time periods can be well reflected; based on big data analysis, model training is carried out by using a machine learning algorithm, the telephone traffic in thefuture time period can be predicted more accurately, and the telephone traffic in each time period in the future for a long time can be predicted.

The invention discloses a method for determining the content of an additive in lithium ion battery electrolyte, and the method comprises the following steps of firstly, manufacturing and obtaining a plurality of standard sequence batteries; secondly, charging each standard sequence battery at constant current, and measuring voltage and capacity; thirdly, drawing a capacity differential curve of each standard sequence battery to obtain a reaction peak position and integrating to obtain reaction peak height and peak area data; fourthly, drawing a scatter diagram of the standard sequence battery,and fitting to obtain a quantitative relation between the quality of the additive and the reaction peak area or peak height data; fifthly, as for the electrolyte to be measured having the additive tobe measured, manufacturing electrolyte battery to be measured; and sixthly, drawing a capacity differential curve of the electrolyte battery to be measured to obtain the reaction peak position, integrating to obtain reaction the peak height and peak area data, and calculating the quality of the additive with the content to be measured. The method for determining the content of the additive in lithium ion battery electrolyte can accurately and reliably measure the content of the additive in the lithium ion battery electrolyte.

The invention discloses a molecular identification method and system for eucaryon source components. The method comprises the steps that a whole-genome shotgun method sequence of test material DNA is used as input data to be input; the input data is subjected to feature calculation; a standard sequence pre-stored in a database is used to query input data features, and a comparison result of the input data features and the standard sequence is obtained; and species determination is performed according to the comparison result. The molecular identification method and system are wide in application range and high in universality.