83 results about "Sequence transformation" patented technology

In certain example embodiments of this invention, there is provided systems and/or methods for processing BAM-related data to predict when events of interest are about to happen and/or to identify the root causes of, or at least data correlated with, such events of interest. In certain example embodiments, key performance indicators (KPIs) are gathered and gardened. The gardening process may identify KPI values of interest (e.g., based on a Z-factor analysis thereof across one or more collection intervals). The gardened KPIs may be processed using a time-series transform (e.g., a Fast Fourier Transform), matched to one of a plurality of predefined waveforms, and fed into a dynamic Naïve Bayesian Network (NBN) for prediction. The gardened data also may be used to determine the relevance of the KPI for root causes of problems (e.g., based on a chi-square analysis).

Provides effective use of architecture-specific instructions. There is provided a compiler including: a target partial program detecting unit for detecting, from among a partial programs of the program to be optimized, a partial program including instructions corresponding to all instructions included in the pattern to be replaced as a partial program to be optimized; an instruction sequence transforming unit for transforming, in the partial program to be optimized, instructions other than those instructions corresponding to instructions included in the pattern to be replaced and those instructions having execution dependencies different from the pattern to be replaced, so that dependencies between instructions included in the partial program to be optimized match the pattern to be replaced; an instruction sequence replacing unit for replacing the partial program to be optimized transformed by the instruction sequence transforming unit with a target instruction sequence determined in accordance with the pattern to be replaced.

The invention relates to a receiving end equilibrium method and system based on frequency domain communication channel estimation. The method comprises the following steps: training sequences with flat spectrum characteristics are inserted into signals at the transmitting terminal, the received training sequences are transformed into the frequency domain at the receiving end through fast Fourier transformation, the transfer function of a communication channel is obtained through dividing the ideal spectrum corresponding to the frequency domain, and then the reciprocal of the transfer function is taken and is transformed into the time domain through the fast Fourier transformation so as to obtain time domain filter tapping coefficient; thereafter, filtering is performed to data signals in the time domain through utilizing the time domain filter tapping coefficient, so that signaling equilibrium is realized. The system includes various modules realizing the corresponding functions. The method and the system combine characteristic of avoidance in cost caused by inserting cyclic prefix/suffix of time domain equilibrium and the characteristic of simple communication channel estimation of the frequency domain equilibrium; on the condition that the optical fiber dispersion is smaller or the dispersion is compensated by other arithmetic, the phase noise compensation is efficiently performed; the arithmetic complexity is small; the calculation time can be saved.

The invention discloses an infrared thermal image defect feature extraction method based on multi-objective optimization. The method includes: selecting the transient thermal response of pixel pointsin the thermal image sequence transformation step, and classified by FCM, obtaining the category of transient thermal response of each pixel point, and then considering the pixel value (temperature value) similarity of each class pixel point and the pixel point of the same kind, considering the difference between the pixel point (temperature point) and the pixel point (temperature point) of different types, constructing the corresponding multi-objective function, and obtaining the dimension reduction result of thermal image sequence by using the multi-objective evolutionary algorithm based ondecomposition; Finally, carrying out the feature extraction of infrared thermal image by using pulse coupled neural network, and extracting the defect features of infrared thermal image. Through the above steps, the accurate selection of representative pixel points (temperature points) is realized, and the precision of defect feature extraction is ensured.

The invention discloses a single-phase phase-locked loop. The single-phase phase-locked loop comprises a phase discriminator, a loop filter and a voltage-controlled oscillator, wherein the phase discriminator comprises a Clark transformation part, a positive sequence transformation part and a Park transformation part, a voltage input signal and two zero signals are sent to the Clark transformation, an output signal of the Clark transformation and the output angular frequency of the phase-locked loop are sent to an input end of the sequence transformation together, an output signal of the positive sequence transformation and an output phase of the phase-locked loop are sent to the Park transformation together, and an output signal of the Park transformation is an output signal of the phase discriminator; and an output end of the phase discriminator is connected with an input end of the loop filter, and the output signal of the loop filter is sent to an input end of the voltage-controlled oscillator after being added with an initial value. The phase-locked loop having the advantages of simple algorithm, low cost and high phase locking accuracy, not only can accurately track the phase and the amplitude of a power grid when the phase of the power grid varies, but also can rapidly and accurately track the phase of the power grid when the frequency of the power grid varies.

The invention relates to method and apparatus for generating modulation symbols according to a second symbol mapping scheme by a symbol mapping unit being adapted to generate symbols according to a first symbol mapping scheme, wherein the first and second symbol mapping schemes define different mappings of data words of a stream to modulation symbols of a modulation scheme according to the respective symbol mapping scheme. Further, the invention relates to a method and apparatus for generating a mapping of data words to modulation symbols of a square 16 QAM constellation, the modulation symbols being representable by an inphase component and quadrature component. One aspect of the invention is the introduction of a bit sequence transformer unit transforming the data words to be mapped to modulation symbols prior to mapping thereby changing the Hamming distance properties of the mapping. Another aspect of the invention is the generation of a new AICO (Antipodal Inverted COnstellation) mapping scheme.

This invention provides a CQI pilot multiplex method based packeting including: a transmission end converts a generated pilot sequence to a frequence domain then carries out mapping of sub-carriers in terms of the following mode: distributing DM pilot frequences crossly on two short blocks of a sub-frame on a frequency domain and interval of sub-carries of DM pilot freequency on each short block is the same, dividing CQI pilot frequency to several sets to be distributed on the preserved sub-carriers on two short blocks and the numbers and intervals of the sub-carriers of each set of CQI pilot. This invention also provides a CQI pilot multiplexing device based on packeting including a mapping unit of a transmission end used in mapping sub-carriers of pilot frequency after converting the generated pilot sequence to the frequency domain.

The invention discloses a silicon slice optimal scheduling method, which comprises the following steps: a, acquiring a macro transmission sequence; b, converting the macro transmission sequence into a plurality of sub task sequences; c, when a task is run, selecting at least one sub task from each sub task subsequence; d, according to preset rules, on the premise of smooth execution, executing a sub task with the highest priority; and e, repeating the steps c and d and completing the transmission and processing of silicon slices. In the invention, on the basis of the macro transmission sequence, a lower layer micro transmission sequence execution policy is optimized, so the concurrency of the execution of the sub tasks is improved, the execution efficiency of Job is improved and consequently yield of a machine is increased.

The invention relates to a time domain distance testing method and device. The method comprises steps that a set of equal-interval test signals is sent to a to-be-tested device to acquire reflection signals; the reflection signals are received, and simulation signal filtering of the reflection signals is carried out to filter far-end noise and stray signals; the reflection signals after filteringare converted into digital signals; digital signal filtering of the digital signals is carried out to filter near-end noise and stray signals; time domain windowing of the reflection signals after filtering of the digital signals is carried out; the reflection signals after time domain windowing are transformed to a frequency domain; amplitude and phase of the frequency domain reflection signals are solved; whether the amplitude and the phase of all the reflection signals are acquired is determined, if yes, the amplitude and the phase of all the reflection signals form a frequency domain complex number sequence; the frequency domain complex number sequence is transformed to a time domain to acquire time domain impact response, and the peak point position of the time domain impact responseis calculated; the maximum time delay distance is calculated according to the peak point position of the time domain impact response.

Described is a system for predicting system trajectories toward critical transitions. The system transforms a set of multivariate time series of observables of a complex system into a set of symbolic multivariate time series. Then pair-wise time series of a transfer entropy (TE) measure are determined, wherein the TE measure quantifies the amount of information transfer from a source to a destination in the complex system. An associative transfer entropy (ATE) measure is determined which decomposes the pair-wise time series of TE to associative states of asymmetric, directional information flows, wherein the ATE measure is comprised of an ATE+ influence class and a ATE− influence class. The system estimates ATE+, TE, and ATE− trajectories over time, and at least one of the ATE+, TE, and ATE− trajectories is used to predict a critical transition in the complex system.

The invention relates to an intelligent decision making technology, and discloses a virtual anchor generation method, which comprises the steps of splitting an original audio into phonemes and performing vectorization to obtain a phoneme sequence vector, performing first sequence transformation on the phoneme sequence vector by using a bidirectional long short-term memory network to obtain a mouth shape feature sequence, and performing second sequence transformation on the mouth shape feature sequence to obtain a mouth shape feature sequence, obtaining a human face expression parameter, carrying out iterative optimization on a 3D human face model according to the human face expression parameter to obtain an initial human face model, carrying out adversarial training on the initial human face model by utilizing a trained adversarial network to obtain a standard human face model, and inputting an audio to be processed into the standard human face model to obtain a virtual anchor video. The invention further relates to a block chain technology, and the phonemes can be stored in block chain nodes. The invention furthermore provides a virtual anchor generation apparatus and device, and a storage medium. According to the method and the device, the problems that the mouth speaking action of the virtual anchor is discontinuous and the difference of audios of different crowds is not considered can be solved.

The invention discloses a determination method for a shape shifting robot attitude transformation optimal path. According to the determination method for the shape shifting robot attitude transformation optimal path, the graph theory is introduced on the attitude control of a shape lifting robot, an attitude transformation problem is converted into a graph theory related problem, accordingly, according to the attitude transformation complexity weight minimum principle, when the optimal attitude transformation path is obtained, a control system can send a corresponding driving order to a motor of each joint of the shape shifting robot, so that the shape shifting robot can transform the joint turning angles of the shape shifting robot in sequence according to the optimal attitude transformation path, the reasonable sequence transformation of the attitude of the shape shifting robot is achieved, the interconversion between different attitudes is achieved, for different environment conditions, the attitude transformation of the shape shifting robot can be achieved stably, efficiently and reasonably, and therefore the good environmental suitability is achieved.

A system for digital image recognition which combines sparse correlation with image pyramiding to reduce the number of pixels used in correlation provides effective recognition of a reference image template (100) without exhaustive correlation of all pixels in the reference image template (100). An optimal sparse pixel set (112) is selected from the pixels of the reference image template (100) by correlating the reference image template (100) against a search image scene (102) which is to be searched. Such a sparse pixel set includes those pixels which are optimal in defining the correlation sensitive features of the reference image template (100). By terminating the accumulation of sparse pixels at an optimal point, performance is maximized without compromising accuracy of recognition. The resultant optimal sparse pixel set is then correlated against the pixels in the search image scene through a series of transformations to find a match of the reference image template (100) within the search image scene (102).

This invention discloses an AR model method and a device for reducing mean power ratio of the OFDM system, which converts the parallel input sequences of the OFDM modulation signals to signals similar to white noises to reduce its self-correlation so as to reduce the PAPR of the OFDM system and complexity of computation, in which, an AR model mapping device is added at the sending end and an inverse AR model mapping device is added at the receiving end and the AR model mapping device includes an AR model unit, a mean power regulating parameter unit, a function transferring unit, a difference equation unit, a sideband information combination unit and a combining unit, the inverse AR model mapping device includes a separating unit, a sideband information splitting unit, a function transferring unit and a difference equation unit, which only needs one time of IFFT conversion and linear transformation to reduce the mean power ratio of a system peak so as to reduce the complexity of the system.

The invention discloses a method, device and system for preventing large batch of data from being captured. The method comprises the following steps: acquiring at least one piece of address information according to a first request; carrying out sequence transformation on each piece of address information according to a self-defined system manner so as to obtain a corresponding sequence code; carrying out inverse sequence transformation on the basis of a second request which comprises a sequence code so as to obtain address information corresponding to the sequence code in the second request; and acquiring corresponding data information according to the address information corresponding to the sequence code in the second request and displaying the data information in a webpage. According to the method, device and system disclosed in the invention, self-defined system transformation is carried out on the address information, so that the address information of the webpage can be prevented from being acquired in sequence; and the types and sequence of characters in the sequence code are self-defined, so that large batch of data cannot be captured under the condition of not knowing the system sequence and then the cracking difficulty is increased. If the self-defined system is updated at regular intervals, the cracking difficulty can be furthermore increased and then the leakage of large batch of data information can be prevented.

The invention relates to the technical field of computer data security, in particular to an in-vehicle data secure monitoring method. The method comprises: S1: acquiring n wheel speed data v at a time interval T, marking the n wheel speed data as {v1, v2, and the like, vn} (n is an element of a set [20, 100]), and storing the wheel speed data v in a to-be-detected data cache; S2: performing related sequence transformation on the wheel speed data v; and S3: abnormal detection: according to the step of related sequence transformation, determining that a first-order related sequence M1 and a second-order related sequence M2 during uniform-speed driving of a vehicle are same. The invention provides the in-vehicle data secure monitoring method; and by effectively monitoring the security of the wheel speed data in an in-vehicle network, whether abnormal falsified wheel speed data is mixed in normal data is effectively detected, so that the security of information in the in-vehicle network is ensured.

The invention discloses a nondestructive detection method for improving the void detection precision of a CRTS III-type track slab. The nondestructive detection method comprises the following steps: (a) arranging a plurality of measuring points on the track slab, and knocking the whole track slab point by point along the measuring points; (b) receiving an impact elastic wave signal generated afterknocking the track slab; (c) carrying out number sequence transformation and frequency spectrum analysis, and extracting a reflection signal of the bottom surface of the track slab and a reflection signal of the bottom surface of self-compacting concrete; (d) judging the void degree according to the ratio of a mean value of reflected energy of the bottom surface of the track slab to a mean valueof reflected energy of the bottom surface of the self-compacting concrete. The invention aims at providing a nondestructive detection method for improving the void detection precision of the CRTS III-type track slab, solving the problem that in a detection method in the prior art, a peak value after reflected energy averaging is not obvious and an extreme energy value cannot completely reflect that a real reflection position and a repeatability test result are different, and achieving the purpose of improving the reliability and the repeatability of a test result.

The invention provides a method for realizing fine timing synchronization estimation of an OFDM (Orthogonal Frequency Division Multiplexing) system. The method comprises the following steps of: seeking for an approximate position of a time domain training sequence in a received signal by using a maximum correlation algorithm and taking the time domain training sequence out; setting an extraction interval and extracting the time domain training sequence of the received signal according to the interval; extracting a local training sequence according to the set interval; transforming the time domain training sequence which is subjected to time extraction into a frequency domain training sequence through FFT (Fast Fourier Transform) according to data length after the time extraction; multiplying the frequency domain training sequence by the extracted shift local training sequence and transforming the frequency domain multiplication result back to a time domain through IFFT (Inverse Fast Fourier Transform); and seeking for each peak value for different shift values, wherein the time position corresponding to the maximum peak value is an estimated fine synchronization numerical value. By adopting the technical solution provided by the invention, large frequency deviation can be confronted and quick and accurate fine timing synchronization estimation can be realized; and meanwhile, operation and hardware realization complexity in a fine synchronization estimation algorithm can be effectively reduced.