110 results about "Standard sequence" patented technology

A method and apparatus enrolls a user for voice recognition by prompting the user to speak a social security number or other number. A voiceprint is extracted from the social security number. Additional sequences of numbers are generated so that the total number of times each decimal digit appears in the social security number or the additional sequences meets or exceeds a threshold value. The user is then prompted to speak the additional sequences and the voiceprint extracted from the social security number is refined to include the additional information received from the responses to the prompts for the sequences. A standard sequence may also be prompted and a voiceprint of the standard sequence compared with the voiceprints of other users speaking the same standard sequence to identify the level of differentiation between the user's voice and other user's voices. If the comparison determines the level of differentiation is low, the user may be prompted to speak his or her social security number again and / or the same or additional sequences and the user's voiceprint further refined from these additional responses.

The invention provides a method for detecting and quantifying the amount of target molecules, such as nucleic acids or proteins in a sample. The target molecules are first recognized and bounded by target-specific probes, generally nucleic acids or proteins that bind specifically to the targets, each of which is labeled with a short single-stranded nucleic acid probe, either DNA or RNA, with distinct molecular weight. This label is called an oligonucleotide mass tag. One or several standard oligonucleotide sequences can be designed with similar sequence but distinct molecular weight to those oligonucleotide mass tags. Then the oligonucleotide mass tags associated with bounded probes and the standard sequences are co-amplified using a pair of common primers. The presence and / or amount of each oligonucleotide mass tag, which corresponds to the amount of corresponding target molecule, is determined by a primer extension reaction and quantification of the primer extension product.

The invention discloses a standard gene type database of drug action related genes and a construction method of the standard gene type database. The construction method comprises the following steps: comparing the corresponding special sequence of mutation information with the human whole genome group standard sequence to obtain the corresponding relation between the special sequence and the human whole genome group standard sequence; and according to the corresponding relation, converting the gene type into the standard gene type corresponding to the human whole genome group standard sequence. On the basis, the invention discloses a drug action related gene typing method and a drug action detection method. The database provides a unified standard for drug action related gene typing and a more accurate basis for clinical medication. The gene typing and drug action detection method covers 48 human drug action related genes and can carry out multi-sample detection on all the known mutation sites and the corresponding drug information at the same time. The gene typing method can detect unknown polymorphic sites, and lays the foundation of researching and finding new polymorphic sites affecting the drug action.

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 parting method of leucocyte antigen gene of human being, comprising the following steps of: (1) extracting genome DNA to be tested by a regular technology, and amplifying a destination gene fragment to be analyzed by using PCR amplification primer: 2,3,4 exon of HLA-A, 2,3,4 exon of HLA-B and exon on the locus 2 of HLA-DRB; and (2) amplifying the PCR output obtained in the step (1) by using sequencing primer, amplifying the exon, sequencing the amplified exon and comparing the sequencing result with the standard sequence in a database to determine the gene parting result. As the 2,3,4 exon of HLA-A, 2,3,4 exon of HLA-B and exon on the locus 2 of HLA-DRB are effectively amplified as a result of optimized combination of the HLA gene sequencing kit and the test condition, and the corresponding exon is sequenced, the invention solves the problem that effective parting can not be performed when certain allelic gene nucleotide is located outside an amplification area during further parting, thereby improving the parting resolution and accuracy of the HLA gene.

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 power transformer fault diagnosis method and diagnosis device. The method comprises the following steps that the fault type is acquired and the dissolved gas sample in oil is clear so as to establish a fault standard sequence; a sample matrix including the sample to be tested is established by integrating the fault standard sequence and an improved three-ratio method; the kernel function type is determined and the corresponding parameters of a kernel fuzzy clustering algorithm are initialized; a membership matrix is solved through the kernel fuzzy clustering algorithm by iteration; and the membership value of the sample to be tested is obtained according to the membership matrix, and the final fault type of the sample to be tested is determined through comparison of the membership value. According to the diagnosis method, the accuracy and the reliability of sample division clusters can be enhanced so that the range of application is wider, and the accuracy of internal potential fault diagnosis of the power transformer can be effectively enhanced.

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.

One embodiment of the present invention sets forth a technique for controlling mode switches in hardware. The resource manager includes an “is mode possible” function that evaluates a given mode in conjunction with the limitations of the hardware to determine if the given mode is feasible. The display driver is configured to call this function to validate a proposed mode before generating commands specifying the state changes for the display heads. The display software interface hardware module within the GPU processes these commands and follows a standard sequence of steps to implement the mode switch. The steps may include interrupts to the resource manager to re-validate the proposed mode, again calling the “is mode possible” function, or perform operations that are not yet supported in the hardware. Advantageously, controlling mode switches in hardware enables less error-prone, more efficient, and more discerning mode switches relative to controlling mode switches in software.

The invention provides a technical scheme to provide an HCM (Hypertrophic Cardiomyopathy) genotyping method and a kit. The method comprises the following steps of: a, carrying out a gene mutation test on genes MYH7 (Myosin Heavy Chain 7), MYBPC3 (Myosin Binding Protein C 3) and TNNT2 (Troponin 2) in a sample DNA (Deoxyribonucleic Acid), wherein the gene mutation test comprises PCR (Polymerase Chain Reaction) amplification sequencing of MYH7, MYBPC3 and TNNT2 gene exons; and b, comparing sequences obtained by amplification in the step a with a standard sequence of a database to determine a genotyping result. The invention has the beneficial effects of: (1) assisting the early diagnosis: finding out asymptomatic generation sufferers and non-generation sufferers in family members; and (2) assisting to guide the selective birth so as to eliminate the spread of the HCM in the family.

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.

The invention discloses a portable tester for a transponder transmission module.In the static parking conditions of the EMU, a spectrum analyzer, an oscilloscope, an arbitrary signal generator, and anetwork analyzer can be used to test the parameters such as output signal strength and frequency of the transponder transmission module, transponder message receiving function (set the order, strength, time of message transmission according to the standard sequence), interference signal immunity of the transponder transmission module and antenna impedance. In dynamic condition, the parameters of operating underbody environmental disturbance can be tested by the spectrometer and the oscilloscope connected with transponder transmission module antenna cable.

The invention provides a method for detecting and quantifying the amount of target molecules, such as nucleic acids or proteins in a sample. The target molecules are first recognized and bounded by target-specific probes, generally nucleic acids or proteins that bind specifically to the targets, each of which is labeled with a short single-stranded nucleic acid probe, either DNA or RNA, with distinct molecular weight. This label is called an oligonucleotide mass tag. One or several standard oligonucleotide sequences can be designed with similar sequence but distinct molecular weight to those oligonucleotide mass tags. Then the oligonucleotide mass tags associated with bounded probes and the standard sequences are co-amplified using a pair of common primers. The presence and / or amount of each oligonucleotide mass tag, which corresponds to the amount of corresponding target molecule, is determined by a primer extension reaction and quantification of the primer extension product.

The invention discloses a method for learning and practicing characters on an electronic device. The method comprises the steps of: 1, pre-constructing or generating a standard character font library, wherein the standard character font library comprises information of strokes of characters written according to standard sequences; 2, obtaining a vector curve of input strokes; 3, comparing the similarity of the vector curve and corresponding stoke transect lines in the information of the strokes; 4, judging whether the similarity is in a preset acceptable range, if not, displaying a current standard stoke and a corresponding stroke transect line, if yes, determining that the current written stroke is right; and 5, judging whether the current input stroke is the final stroke, if yes, ending, and if not, continuously executing the step 2. The method and system for learning and practicing characters on the electronic device can help people write the characters and deepen the memory of the characters.

The invention discloses a method for generating a Fourier coefficient-based symbolic category set of a multivariate time sequence. The method comprises the steps of: acquiring multivariate time sequence data; pre-processing the multivariate time sequence data to obtain a standard sequence of which a mean value of gaussian distribution is 0 and a variance is 1; performing piecewise processing on the multivariate time sequence through a PAA (Piecewise Aggregate Approximation) algorithm to obtain piecewise information of each sequence; performing DFT (Discrete Fourier Transform) on piecewise dataof the each sequence to obtain a trend characteristic in a sequence piece represented by a Fourier coefficient; performing symbolic representation on the sequence pieces of the multivariate time sequence through an SAX (Symbolic Aggregate Approximation) method, and enabling a symbol and the Fourier coefficient corresponding to the each sequence piece to form a complete symbolic category set of the sequence piece. The method of the invention has the beneficial effects that: dimensionality reduction can be performed on high-dimensional mass multivariate time sequence data, and advantages of theSAX can be maintained; and dimensionality reduction is performed through a frequency-domain filtering method, thus invariance of an Euclidean distance can be maintained.

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).

The invention discloses a burst signal frequency deviation correction method applied to satellite phones. The method comprises the steps that signals are received, and data caching is carried out on the signals; local standard sequences are generated, and shaping filtering is carried out on the local standard sequences; sliding correlation is carried out on the cached signals and local sequences obtained after shaping filtering, and the initial positions of burst signals are found according to correlation peaks; according to the obtained initial positions of the burst signals, a complete set of burst signals are taken out of a cache, and phase difference calculation of corresponding points of the burst signals and the local standard sequences is carried out; the phase difference slope is worked out according to N corresponding points received continuously, phase jump removal and glitch removal are carried out on an obtained slope curve, linear processing is carried out on a slope curve obtained after phase jump removal and glitch removal, and then a frequency deviation estimated value is obtained. The method eliminates dependence on channel estimation in the prior art and is accurate in frequency deviation estimation.

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 discloses a method for detecting the cycle prefix length in a time division duplex system, which comprises the steps of: broadcasting synchronization information by a system through a base station, wherein the synchronization information comprises a master synchronization signal and an auxiliary synchronization signal, and at least one orthogonal frequency division multiplexing (OFDM) symbol is arranged between the master synchronization signal and the auxiliary synchronization signal; capturing synchronization information of the system by a terminal unit to detect the master synchronization signal and determine the position of the master synchronization signal; obtaining two auxiliary synchronization signal sequences from the synchronization information of the system by the terminal unit based on the determined master synchronization signal position and respectively in accordance with conditions of short cycle prefix and long cycle prefix; and carrying out correlation of the obtained two auxiliary synchronization signal sequences respectively with an auxiliary synchronization signal standard sequence determined in advance and judging the length of the cycle prefix based on relevant result, both by the terminal unit. By adopting the technical proposal, the method for detecting the cycle prefix length in the time division duplex system can acquire better detecting property.

The invention discloses a detection method and a detection device of the brightness response error rate of a medical display device, and relates to the technical field of error detection. The objective of the invention is to achieve detection of the brightness response error rates of medical display devices. The method comprises steps of outputting a P value sequence to a medical display device so as to acquire a measurement sequence corresponding to the P value sequence; calculating a JND value sequence corresponding to the P value sequence; calculating a brightness standard value corresponding to each JND value on a GSDF curve so as to obtain a standard sequence consisting of M brightness standard values; and according to a standard sequence and the measurement sequence, calculating the error rate sequence.

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.

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 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.

The object of the present invention is to offer a method for analyzing primary structure change of nucleic acid which has quantifiability, which has a high degree of sensitivity and reproducibility, and which can be conducted rapidly and at low cost. The method of analysis of primary structural change of nucleic acid of the present invention includes a process for obtaining a reference nucleic acid having a standard sequence and a target sequence, each sequence being bound by a first ligand that differs depending on type of the sequence to which it binds, and being bound by a second ligand; a process for specifically binding first ligands to receptors supported on a carrier, thereby immobilizing standard sequences and target sequences on the carrier; a process for specifically binding labeled receptors to the second ligands in said nucleic acids which have been immobilized; a process for detecting labels to detect standard sequences and target sequences; a process for obtaining the ratio of standard sequences in the reference nucleic acid and subject nucleic acid, calculating a coefficient which corrects detection values of target sequences, and conducting correction; and a process for confirming an increase / decrease in the quantity of target sequences in the subject nucleic acid relative to target sequences in the reference nucleic acid.