99 results about "Propagator" patented technology

The system describes a collaborative machine social network system with several elements. There is at least one system participant which communicates with the network. The participant's communications include short bursts of information not directed to a particular recipient but rather the network as a whole. The network further includes propagator nodes and integrator nodes to process communications from participants.

A fire control system for a boost phase threat missile includes sensors for generating target-missile representative signals, and a multi-hypothesis track filter, which estimates the states of various target hypotheses. The estimated states are typed to generate hypotheses and their likelihoods. The states, hypotheses and likelihoods are applied to a multihypothesis track filter, and the resulting propagated states are applied to an engagement planner, together with the hypotheses and likelihoods. The engagement planner initializes the interceptor(s). Interceptor guidance uses the initialization and the propagated states and typing information to command the interceptor.

A migration method using hybrid one-way and full-way (HOF) wave equation propagation. The HOF method extrapolates seismic wavefields in less complex media with a one-way wave equation propagator and extrapolates seismic wavefields in extremely complex media with a full-way wave equation propagator. For prestack depth migration, the HOF extrapolates source-side and receiver-side wavefields independently. Frequency-space domain and time-space domain imaging conditions are applied to the one-way and the full-way extrapolated wavefields, respectively. A suitable amplitude matching factor is introduced to combine the one-way and full-way images. The HOF method is a cost-effective migration that produces superior image quality with less noises and less computational resources.

The invention belongs to the field of exploration geophysics and particularly relates to an elastic seismic wave field forward modeling method. The seismic forward modeling method includes the steps of firstly, according to the principle of wave field vector decomposition, decomposing a seismic wave field into a longitudinal wave field and a transverse wave field and respectively calculating corresponding propagation matrixes of the longitudinal wave field and the transverse wave field; secondly, according to the principle of low-rank decomposition, decomposing the propagation matrixes to obtain propagators of vector longitudinal wave and vector transverse wave so as to reduce calculation amount of numerical simulation to improve calculation efficiency; and thirdly, coupling updated records of the vector longitudinal wave and the vector transverse wave acquired after the numerical simulation so as to obtain a forward modeling result of the seismic wave field. The calculation precision is high due to the fact that the propagation matrixes include compensations to medium parameter and numerical simulation parameter. Numerical dispersion of seismic wave field records acquired by the forward modeling method is nearly eliminated and stability of the numerical simulation is high; accordingly, the forward modeling method is a high-precision elastic wave field numerical simulation method.

A laser irradiation apparatus is provided with a laser oscillator, an articulated beam propagator in which a plurality of pipes are connected to each other in an articulated portion, and a course change means of a laser beam in the articulated portion. At least one pipe of the plurality of pipes includes a transfer lens for suppressing stagger of a laser beam in a traveling direction, in each pipe. The articulated portion produces degree of freedom in disposition of a laser oscillator, and the transfer lens enables suppression of change in beam profile.

The invention discloses a multi-component seismic data least squares reverse time migration imaging method and system. The method conducts modification on the basis of the elastic wave reverse time migration method, directly with the multi-component data as input, under the framework of inversion, employs different wave-field propagators and new imaging conditions at different steps of migration so as to achieve multi-component seismic data migration imaging based on inversion. According to the invention, the thought of inversion is introduced to elastic wave reverse time migration, compared with regular elastic wave reverse time migration, a prestack depth migration profile having high precision, high resolution, high signal to noise ratio, and amplitude preservation can be acquired. The method can effectively overcome lineups destructive interference caused by transverse wave polarity-reversal, and can effectively eliminate migration illusion caused by crosstalk among longitudinal and transverse waves while longitudinal and transverse wave vector characteristics, amplitude and phase characteristics are maintained in entirety. The method increases imaging precision, is applicable to multi-component seismic data migration of all kinds of complex medium models, has clear imaging profiles, and is easy for later-stage geology interpretation.

Slowness dispersion characteristics of multiple possibly interfering signals in broadband acoustic waves as received by an array of two or more sensors are extracted without using a physical model. The problem of dispersion extraction is mapped to the problem of reconstructing signals having a sparse representation in an appropriately chosen over-complete dictionary of basis elements. A sparsity penalized signal reconstruction algorithm is described where the sparsity constraints are implemented by imposing a l₁ norm type penalty. The candidate modes that are extracted are consolidated by means of a clustering algorithm to extract phase and group slowness estimates at a number of frequencies which are then used to reconstruct the desired dispersion curves. These estimates can be further refined by building time domain propagators when signals are known to be time compact, such as by using the continuous wavelet transform.

Names of signals are propagated through a circuit design inside tuples, with each tuple including at least a signal name and a sequential depth. A tuple being propagated is added to a list of zero or more tuples currently identified with a circuit element, unless a tuple of the same signal name is already present in the list. If already present in the list, then propagation of that tuple is stopped. Propagation of tuples may also be stopped depending on user-defined limits, e.g. on sequential depth. Tuple propagation may be used, depending on the embodiment, to identify features of interest in the circuit design, e.g. (a) a point of convergence of differently clocked signals, (b) location of gray coders, and (c) location of synchronizers, by appropriate identification of circuit elements from which tuple propagation is to start, and by appropriate checks on lists of tuples that result from tuple propagation.

Collision probability analysis for spherical objects exhibiting linear relative motion is accomplished by combining covariances and physical object dimensions at the point of closest approach. The resulting covariance ellipsoid and hardbody are projected onto the plane perpendicular to relative velocity by assuming linear relative motion and constant positional uncertainty throughout the brief encounter. Collision potential is determined from the object footprint on the projected, two-dimensional, covariance ellipse. To accommodate nonlinear motion in accordance with the disclosed embodiments, the dimension associated with relative velocity is reintroduced by segmenting the collision tube volume into a plurality of mitered tube sections modeled as bundles of parallelepipeds in Mahalanobis space. Disclosed embodiments compute the probability of each parallelepiped as the combined object passes through the space, and sums. The method is not dependent on a specific motion propagator and is designed to handle any object shape by using pixel files of the object images.

A method for efficient propagation of link state advertisements in densely interconnected OSPF networks is disclosed for reducing the number of duplicate LSAs propagated during a flooding event. The efficient propagation method includes calculating an LSA propagation subgraph which is used by a node which receives an LSA to determine which links to propagate the LSA upon. This allows a significant reduction in the LSAs which traverse the network during a flooding event. The reduction in LSAs is particularly useful for reducing network convergence times associated with flooding events. In addition, a system is disclosed for performing the method in both a centralized and dispersed manner.

The invention relates to processing seismic data that includes signals from at least two sources and typically three or four sources where source separation is necessary for geophysical analysis. Specifically, the present invention is a process for correcting data prior to inversion where the correction is provided to correct for the filtering effect of the earth. The earth is a non-homogenous seismic propagator that causes distortions of wavelets of seismic energy related to the source and receiver azimuth and offset that makes the identification of source specific data within the composite data harder to identify. Computing an earth response and correcting for the effects of the earth on the wavelets provides for more resolution and more clarity in the resulting data and better geophysical interpretation.

The present invention discloses basic watermark facility, and is one digital work copyright protecting system based on digital watermark. The user purchased legal digital work has two CA signature watermarks embedded, one identifying the publisher and the other identifying the purchaser. When illegal copying is found out with the network detector or memory medium based on movable deputy, the illegal propagator may be determined based these two watermark. The copyright information watermark of the publisher includes the publisher ID and the work ID, the digital fingerprint of the purchaser includes the purchaser ID, and these two watermarks are random sequence produced with the corresponding ID and through CA signature. The present invention uses the correlated concept of PKI system for tracing illegal copying and is simple, practical, reliable and expandable.

The invention belongs to the array signal processing technical field and relates to a co-prime area array-based two-dimensional direction of arrival quick estimation method. The co-prime area array-based two-dimensional direction of arrival quick estimation method includes the following steps that: of: array manifold matrixes are constructed on the basis of an x-axis and a y-axis respectively according to a co-prime area array model, two uniform sparse area arrays are combined so as to form the co-prime area array model; the covariance matrixes of the received signals of the sub-arrays are solved, the propagation operator matrixes of the arrays are constructed on the basis of the x-axis and the y-axis; a PM (Propagator Method) is adopted to solve the twiddle factor matrixes of the sub-arrays along the x-axis and y-axis on the basis of block processing performed on the array manifolds; and angle ambiguity is eliminated through using the co-prime theory of planar arrays, and the azimuthsand pitch angles of the arrays are solved. With the method of the invention adopted, low-complexity, high-precision and fuzzy-free joint estimation of the pitch angles and azimuth angles under the co-prime area array model can be realized.

The invention provides an efficient robust self-adapting beam forming method of broadband. The method is applied to the field of wireless communication and comprises steps as follows: performing fast fourier transform (FFT) to received data of an array to obtain the received data on different frequency points and a covariance matrix of the received data of each frequency point; choosing a central frequency point as a reference frequency point; using a propagator thought to respectively performing matrix partitioning on the covariance matrix of each frequency point and the covariance matrix of the central frequency point so as to obtain a propagator of each frequency point and the propagator of the central frequency point; constructing a focusing transformation matrix, focusing the propagators of different frequency points onto the same reference frequency point to obtain the final propagator estimation and noise subspace; and combining with a feature space method to configure a broadband beam forming algorithm weight vector to realize robust self-adapting beam forming of the broadband. In comparison with a traditional coherent signal subspace method, the method does not need any singular value or feature value decomposition, does not need a diagonal loading technique, and can reflect a good performance with respect to an environment having low snapshots and strong desired signals. Particularly, the method has stronger robustness and reduces the complexity under a condition that the desired signal estimation has a certain error.

A method of mining data to discover activity patterns within the data is described. The method includes receiving data to be mined from at least one data source, determining which of a number of specified interests and constraints are associated with the mining process, selecting corresponding mining agents that combine search algorithms with propagators from the specified constraints, and finding any activity patterns that meet the specified interests and constraints.

To provide a numerical simulation apparatus capable of executing a numerical simulation with high speed and precision by reducing computational complexity. A numerical simulation apparatus (100) that executes a numerical simulation using a wave function which is a solution of a time dependent Schrödinger equation includes: a real time evolution calculation unit (106) that calculates a second wave function while evolving the second wave function from an initial time in increments of a predetermined time period, the second wave function being obtained by applying a central difference approximation in a real-space finite-difference method to a first wave function expressed using a propagator, and being expressed using a Bessel function; and a calculation result storage unit (108) that stores a calculation result of the second wave function obtained at each time by the time evolution calculation unit (106) while evolving the second wave function in increments of the predetermined time period.

The invention discloses a multi-spherical array multiband sound source rapid orientation method, and belongs to the technical field of sound source orientation and detection. A frequency space domainmodel of a multi-spherical array sound field is established based on discrete Fourier transform; a spherical harmonic domain model of the multi-spherical array sound field is constructed based on spherical Fourier transform; the spherical harmonic coefficient corresponding to the maximum modal intensity of each spherical harmonic order is selected so as to obtain the spherical harmonic coefficientafter fusion of the multi-spherical array; the frequency-dependent component of the spherical harmonic coefficient is removed and the spherical Fourier transform component only including the angle-dependent component is obtained; the cross spectrum of the spherical Fourier transform component is constructed, the spherical Fourier transform component or the cross spectrum thereof are blocked and the estimation value of the propagator is obtained through combination of the linear regression method; an orthogonalized noise subspace is constructed based on the estimation value of the propagator,and the spatial spectrum of the direction of arrival is obtained by using mutual orthogonalization of the signal and the noise; and the incident sound source direction is scanned, and the sound sourcedirection corresponding to the maximum peak in the spatial spectrum is the direction-of-arrival angle of the sound source.

A computer implemented method including a numerical model of a region of the earth modeling the acoustic behavior of that region. The method implements an acoustic wave propagator allowing the simulation of the propagation of pure P-waves in transversal isotropic media. The propagator can be applied to applications such as seismic forward modeling, reverse time migration and other two-way wave-equation based applications.

The invention discloses an AIDS (acquired immune deficiency syndrome) personnel behavior analysis method based on deep learning. The method comprises the following steps: acquiring user behavior data;and based on the user behavior data, analyzing the multi-dimensional space-time information of the user, and constructing a user behavior portrait. Behavior portraying is performed on the AIDS patient based on network, geographic position and social communication behavior analysis, and descriptive label attributes for the user are constructed in multiple dimensions such as network, geographic position and social communication. The label attributes are utilized to describe and outline the real personal characteristics of the AIDS patient in multiple aspects, and are used for describing relatedcharacteristics, behaviors and preferences. Potential social communication rules of AIDS crowds are discovered, high-risk AIDS crowds, potential AIDS propagators and AIDS propagation paths are discovered, and the AIDS intervention link work is assisted to be intervened in advance.

The invention provides a computer-implemented method for generating a solution to a constraint satisfaction problem (CSP). The method operates to implement various steps that include defining the CSP problem by a set of variable having finite domains, and constraints defined over the variables, solving the CSP by assigning values to said variables that are consistent with the constraints and debugging the CSP solution. The debugging of the CSP solution is carried out by iteratively executing a propagator to reduce the variable domain. Augmenting the constraints is carried out to supply an explanation for particular values assigned to the variables, and constraints defined over the variable utilized in the solution.

Disclosed is an apparatus for image classification. The apparatus comprises a converter and a forward propagator. The converter is configured to retrieve a convolutional neural network with a plurality of convolutional layers and a plurality of pooling layers connected to the convolutional layers. The forward propagator is configured to feed an image into the convolutional neural network to predict classes of all pixels in the image. The convert further comprises first and second converting units. The first converting unit is configured to insert all-zero rows and columns to the convolutional kernel of the convolutional layers such that every two neighboring entries are separated from each other. The second converting unit is configured to insert unmasked rows and columns to the pooling kernel of the pooling layers such that every two neighboring entries are separated from each other. The apparatus also comprises a backward propagator to update the convolutional kernels in the converted convolutional neural network. The present application also discloses a method for image classification.