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1156 results about "Random sequence" patented technology

The concept of a random sequence is essential in probability theory and statistics. The concept generally relies on the notion of a sequence of random variables and many statistical discussions begin with the words "let X₁,...,Xₙ be independent random variables...". Yet as D. H. Lehmer stated in 1951: "A random sequence is a vague notion... in which each term is unpredictable to the uninitiated and whose digits pass a certain number of tests traditional with statisticians".

Method of and system for dynamic automated test case generation and execution

An automated system that randomly generates test cases for use in hardware or software quality assurance testing, wherein a given test case comprises a sequence (or “chain”) of discrete, atomic steps (or “building blocks”). A particular test case (i.e., a given sequence) has a variable number of building blocks. The system takes a set of test actions (or even test cases) and links them together in a relevant and useful manner to create a much larger library of test cases or “chains.” The chains comprise a large number of random sequence tests that facilitate “chaos-like” or exploratory testing of the overall system under test. Upon execution in the system under test, the test case is considered successful (i.e., a pass) if each building block in the chain executes successfully; if any building block fails, the test case, in its entirety, is considered a failure. The system adapts and dynamically generates new test cases as underlying data changes (e.g., a building block is added, deleted, modified) or new test cases themselves are generated. The system also is tunable to generate test sequences that have a given (e.g., higher) likelihood of finding bugs or generating errors from which the testing entity can then assess the system operation. Generated chains can be replayed easily to provide test reproducibility.
Owner:HITACHI VANTARA LLC

Methods for Amplifying a Complete Genome or Transcriptome

InactiveUS20140274811A1Eliminates misprimingReduces misprimingLibrary creationDNA preparationNucleotidePolymerase L
The present invention provides methods for amplifying a complete genome or transcriptome. The genome or transcriptome is prepared as a set of target nucleic acids and mixed with a first primer. The first primer comprises a target-binding region having a first random sequence of about 6 to about 9 nucleotides and a tag sequence that contains one or more non-natural nucleotides. The first primer is annealed to the target nucleic acids and extended by polymerase to produce a first duplex nucleic acid. The target nucleic acid is removed from the first nucleic acid. A second primer is annealed to the first nucleic acid having a second random sequence of about 6 to about 9 nucleotides and a tag sequence that contains one or more non-natural nucleotides. The second primer is extended by polymerase to produce a second duplex nucleic acid. The second nucleic acid contains a tag sequence on one terminus and a complement of the tag sequence on the other. The first nucleic acid is removed from the second nucleic acid. A third primer is annealed to the second nucleic acid having the same sequence as the tag sequence or a portion thereof and at least one of the non-natural nucleotides of the tag sequence. The third primer is extended by polymerase to produce a third duplex nucleic acid. The second nucleic acid is removed from the third nucleic acid. The third primer is annealed to the second nucleic acid and the third nucleic acid. The third primer is extended by polymerase. Repeating these last three steps thereby results in amplification of the genome or transcriptome.
Owner:AEGEA BIOTECH

Protecting images with an image watermark

A robust means of watermarking a digitized image with a highly random sequence of pixel brightness multipliers is presented. The random sequence is formed from ‘robust-watermarking-parameters’ selected and known only by the marker and/or the marking entity. A watermarking plane is generated having an element array with one-to-one element positional correspondence with the pixels of the digitized image being marked. Each element of the watermarking plane is assigned a random value dependent upon a robust random sequence and a specified brightness modulation strength. The so generated watermarking plane is imparted onto the digitized image by multiplying the brightness value or values of each pixel by its corresponding element value in the watermarking plane. The resulting modified brightness values impart the random and relatively invisible watermark onto the digitized image. Brightness modulation is the essence of watermark imparting. Detection of an imparted watermark requires knowing the watermarking plane with which the watermark was imparted. Regeneration of the watermarking plane requires knowledge of the robust-marking-parameters used in its formulation. This is generally only known to the marker and/or marking entity. Once regenerated, the watermarking plane is used together with a verifying image located in a ‘visualizer’ to demonstrate the existence of the watermark. The process of watermark detection is enhanced by application of a blurring filter to the marked image before detection is attempted.
Owner:RPX CORP

Establishing method of uncertainty mid-term and long-term hydrological forecasting model

InactiveCN101604356AReveal detailed variation characteristicsReduce blindnessOpen water surveyPhysical realisationMain sequenceBusiness forecasting
The invention discloses an establishing method of an uncertainty mid-term and long-term hydrological forecasting model, comprising the following steps: using a wavelet analysis (WA), an artificial neural network (ANN) and a hydrological frequency analysis (HFA) in combination to establish the uncertainty mid-term and long-term hydrological forecasting model; dividing the original sequence into two sections of a main sequence and a random sequence on the basis that WA is used to reveal multiple time dimension variation characteristics of the hydrological sequences, adopting ANN for analogue forecasting on the main sequence and hydrological frequency analysis on the random sequence and overlapping the results of the two sections to be a final forecasting value. The model is used for the mid-term and long-term hydrological forecasting in the Yellow River estuary area, and compared with the traditional method, the results show that the model can reveal the time and frequency structures and variation characteristics of the sequences, has high forecast value result precision and acceptance rate, can quantitatively analyze and describe the impact of hydrological uncertain factors on the forecasting result and can obtain the analogue forecasting value of different frequencies to corresponding hydrological sequences.
Owner:NANJING UNIV

Training sequence frame timing synchronized method based on pseudo-random sequence modulation based

The invention discloses a training sequence frame timing synchronized method based on pseudo-random sequence modulation, which can be applied in an orthogonal frequency division multiplexing system or a single carrier frequency domain equalization system, and comprises the following steps: (1) carrying out an energy detection by using the relevance of the front part and the back part of a training sequence at a receiving terminal; (2) taking the certain range around the peak position of the energy detection as a rough synchronization timing range; (3) in the rough synchronization timing range, using a local frame leading sequence generated by the receiving terminal to carry out the cross-correlation with a receiving sequence, according to the peak position of the cross-correlation, determining the position of the local frame accurate synchronization timing, wherein the first half part of the leading training sequence is gained by modulation of cascade sequence of self-correlation of a plurality of constant amplitude zero values by adopting the pseudo-random modulation sequence, and the second half part thereof is inverse operation of the first half part. The method can gain higher timing accuracy by using the pseudo-random modulation sequence to carry out the complex fine synchronization.
Owner:INST OF ACOUSTICS CHINESE ACAD OF SCI
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