40 results about "M Components" patented technology

A method of evaluating a tetrahedral linear interpolation function utilizes a table preparation process and a linear interpolating process. In the table preparation process, values v and domain points p of the function are related by two tetrahedral interpolation variables denoted as a matrix T and a vector t, as follows: v=t+pT. The coordinates of p include n components, and the value v includes m components. The matrix T includes n rows and m columns, as it must to relate p to v. If the value of the function is scalar, t is also a scalar, and T is a vector of n elements. From the coordinates of the (n+1) domain input points and the function values v at these points, the values of variables t and T are computed and stored in a table. The linear interpolation procedure of the invention uses the values tabulated for t and T to calculate an approximation for the components of the function value v at a given p. The function arguments are stored in a first array of n elements denoted as p[i], and the calculated approximations are to be stored in a second array of m elements denoted as v[j]. The approximations for the array v[j] may be calculated according to the following equation:

The present invention introduces a method, device and a computer program for removing artifacts present in individual channels of a multichannel measurement device. At first, a basis is generated defining an n-dimensional subspace of the N-dimensional signal space, where n is smaller than N, where using in the definition of the n-dimensional basis a physical model of a Signal Space Separation method, or a statistical model based on the statistics of recorded N-dimensional signals. Thereafter, a combined (n+m)-dimensional basis is formed by adding m signal vectors to the n-dimensional basis, each of these m signal vectors representing a signal present only in a single channel of the N-channel device. After this the recorded N-dimensional signal vector is decomposed into n+m components in the combined basis, and finally, components corresponding to the m added vectors in the combined basis are subtracted from the recorded N-dimensional signal vector.

A method for performing optical constellation conversion, according to which each received symbol from a constellation of input symbols is optically split into M components and each component is multiplied by a first predetermined different complex weighing factor, to achieve M firstly weighted components with different amplitudes. Then a nonlinear processor optically performs a nonlinear transform on each M firstly weighted components, so as to obtain M outputs which are linearly independent, Finally, a linear processor optically performs a linear transform to obtain a new converted constellation by optically multiplying, in the complex plane, each of the M outputs by a second predetermined different complex weighing factor, to achieve M secondly weighted components and then summing the M secondly weighted components.

There is provided a system and method of operating a multiple-input multiple-output (MIMO) receiver with N antennas in a wireless communication system. The method includes measuring N vectors, each vector defining channel transfer coefficients between M antennas of a transmitter and a corresponding antenna of the receiver. Additionally, a vector in a linear space generated by the N measured vectors is selected and quantized values of less than M components of the selected vector are fed back to the transmitter.

A method for determining r error detection bits of a word of m bits to be coded, including the step of calculating the product of a vector with m components representative of said word of m bits to be coded and of a parity check matrix. The parity check matrix includes a pattern matrix that may be repeated in said parity check matrix, and said pattern being chosen so that a sum modulo 2 of any two columns of said sub-matrix does not give as a result another column of said sub-matrix. Another method determines a syndrome using r error detection bits determined by the above method.

The invention provides a multi-component 3D printing extruded material, made by mixing N components, with N>/=2; the N components include refractory material powder, a dispersant and water; at least one of the N components also include a thickening time control agent; any m ones of the N components also include a binder; at least one of the rest N-m components also include a curing agent. The multi-component 3D printing extruded material has the advantages that shelf life of the material can be extended and serial products having different curing times or different temperature conditional applications can be provided.

In one embodiment, a method of monitoring a network. The method includes: receiving, from each host of a set of two or more hosts of the network, a corresponding vector of M components constructed based on data packets received at the host during a time period, M being an integer greater than 1; and, based on the constructed vectors, using an expectation-maximization algorithm to estimate a cardinality distribution for the hosts in the set, wherein constructing a vector includes updating a component of the vector of the corresponding host in response to the corresponding host receiving a data packet, the updating including selecting the component for updating by hashing one or more fields of the data packet received by the corresponding host.

The invention relates to a calibration method of reference extracts. Each of n batches of reference extracts comprises m components. The calibration method comprises the following steps: preparing the extracts into solutions, and separating and detecting the solutions by chromatography; injecting samples of different volumes and performing linear regression on each component to obtain a regression equation; computing a signal mass ratio of the same component in the reference extracts of different batches according to the equation to obtain a m-ary linear equation set of n lines, wherein the equation set have Cn<m> roots; and counting the roots, wherein when relative standard deviation is lower than an acceptable discrimination error R, the calibration is successful. The calibration method can be used for successfully solving the problem that a reference substance is not easily available, provides a scientific and reasonable standard setting thought for traditional Chinese medicine and natural medicine, also provides a mixed reference substance for accurately quantifying related substances in chemical medicine, and further remedies the defect of operation of defining the purity of reference substances by a normalization method.

The invention provides a method for computing the maloperation rate of a nuclear power station system. Based on the MooN architecture of the Markov principle, namely when M components among N components of the nuclear power station are under a normal working condition, the nuclear power station system is capable of working normally, and the state space diagram of the nuclear power station related system and a nuclear power station system failure frequency steady-state expression as shown in the description are established, wherein lambda refers to the maloperation failure rate and mu refers to the repair rate. When a processing and maintenance policy changes, no computational model needs to be re-established and only related parameters are modified to obtain the result after the adjustment of the maintenance policy.

The embodiment of the invention provides an information processing method and an electronic device. When a record application program is installed on the electronic device, M components used for being embedded into a first application program are generated, wherein M is an integer larger than or equal to 1. The M components have the incidence relation with the record application program. When the M components are embedded into the first application program, the method comprises the steps: when the first application program runs, displaying a first graphical interface corresponding to the first application program through a display unit, wherein the first graphical interface comprises the M components; obtaining a first triggering operation for the first component of the M components; responding to the first triggering operation, and directly collecting first data contents in the first graphical interface; storing the collected first data contents; outputting at least one part of the first data contents in the second component of the M components in the first graphic interface. According to the information processing method and the electronic device, information transmission is facilitated.

The invention discloses a brain signal online denoising method in a nuclear magnetic resonance environment. The method comprises the steps of 1) conducting high-pass filtering on collected brain electrical signals; 2) conducting up-sampling on the filtered signals and synchronizing the brain electrical signals with markers sent by a fMRI device; 3) constructing a sliding window to construct a noise template Atau for preliminary denoising; 4) slicing a signal Sh mixed with noise into a slice with a length of T*w points, fitting the noise template with slice date through least squares to obtainfitting parameters ytau, and subtracting ytau*Atau from the Sh to obtain a signal Sr with residual artifacts; 5) conducting PCA on the signal Sr, sorting each component according to degree of relevance, taking the largest m components as an optimal base betaj(j=1,2,...,m) of gradient noise, fitting the optimal base with the Sr through the least squares to obtain fitting parameter aj(j=1,2,...,m),subtracting N from the Sr, and conducting denoising through the construction of a gradient noise template and denoising through the PCA to eventually eliminate the gradient noise. The brain signal online denoising method in the nuclear magnetic resonance environment has the advantages that real-time denoising can be conducted on the signals to meet demands of data processing speed of an online experiment.

The invention provides a lubricant composition for glass fiber reinforced engineering plastic. The lubricant composition for the glass fiber reinforced engineering plastic is prepared from, by mass, 10%-60% of components A, 10%-60% of components B and 5%-35% of components C, and the sum of mass percent of the component A, the components B and the components C equal to 100; the components A adopt one kind or multiple kinds of glyceride with a general formula (I), the components B adopt pentaerythritol ester, and the components C adopt organic silicon wax, wherein R1 and R2 represent an independent C8-C20 ester group or hydroxide radical, and at least one of R1 and R2 is the C8-C20 ester group. The invention further provides a preparation method of the lubricant composition for the glass fiber reinforced engineering plastic. The lubricant composition for the glass fiber reinforced engineering plastic is high in universality, convenient to use and capable of effectively reducing the glass fiber revealed phenomena of the glass fiber reinforced engineering plastic and improving surface gloss.

The invention discloses a crude oil nonlinear optimization blending method based on an expanded initialization range. The method comprises the steps of expanding a formula range of m components participating in blending crude oil to generate an expanded formula range, generating 3m groups of initial mass ratios in an expanded formula upper limit range, an expanded formula lower limit range, a reduced formula range and the expanded formula range, thus carrying out optimization solution to obtain an optimized formula of component crude oil and calculating the feasibility of each optimized formula solution, forming feasible optimized formula solutions of the component crude oil into a set of optimized formula solutions, and selecting an optimal group of solutions as a final formula of the component crude oil according to the magnitude of a target function value in a crude oil nonlinear blending optimization algorithm. According to the crude oil nonlinear optimization blending method basedon partition initialization, the problem of easily falling into a local extremum or causing no solution of optimization when a nonlinear blending rule is used in an optimized property target in a crude oil online blending process is solved.

A method for determining r error detection bits that can be associated with a word of m bits to be coded, including the step of calculating the product of a vector with m components representative of the word of m bits to be coded and of a parity control matrix of dimension r×m. The parity control matrix is such that each column of matrix includes an odd number of “1s” greater than or equal to three. The present invention also relates to a method for determining a syndrome.

A receiving medium comprising N components is assigned to a channel comprising N components respectively and provided along the circumference around which a rotating frame rotates. At a position facing said receiving medium corresponding to the rotation, the transmission medium of M components (M>2N, N represents an integer more than 2) are arranged separately in a line along the circumference of the rotating frame in a state such as charge-coupling. A signal generation device produces the signal containing data relating to an object obtained by detection of the X-ray detector device, which is for example, a carrier signal modulated with the data. In addition, for example, when the transmission medium is rotated according to the carrier signal to face any of the receiving medium, a switching device transmits the signal from the channel to one of the corresponding receiving medium, and when the interval between the two adjacent transmission medium passes through said receiving medium, the switching device switches the signal from said generation device according to said rotation, such that the signal from the same channel may be transmitted to the two adjacent transmission medium.

Due to this switching, a signal containing the data from the X-ray detector device distributed to each channel can be transmitted continuously to the stationary frame without fail.

Error detection and correction codes are provided. For a word of m bits that is to be coded, a vector with m components, each component corresponding to a bit of the word, is formed. The vector is multiplied, using a computing circuit, by a parity control matrix. The parity control matrix includes at least one couple of complementary lines.

A method for determining r error detection bits of a word of m bits to be coded, including the step of calculating the product of a vector with m components representative of the word of m bits to be coded and of a parity control matrix. The parity control matrix includes at least two consecutive complementary columns. The present invention also relates to a method for determining a syndrome, as well as a coding and decoding circuit.

An image encoding device includes: a prediction processing unit (22) for performing prediction processing for m component values among N components constituting a quantized block; a first CBP judgment unit (23) for judging presence/absence of a non-zero component in (N-m) components among the N components in the first operation mode and judging presence/absence of a non-zero component in (N-n) components among the N components in the second operation mode; a CBP judgment unit (24) for judging presence/absence of a non-zero component for m components after the subjected to the prediction processing by the prediction processing unit (22) in the first operation mode and judging presence/absence of a non-zero component for n components in the second operation mode; and a CBP generation unit (25) for generating a CBP code indicating whether all the components of the block are zero or not according to the judgment result of the first and the second judgment units (23, 24).

An inorganic reaction system comprising a lead-bismuth-tellurium composition of Formula (I): Pb a -Bi b -Te c -M d -O e , wherein 0 < a, b, c and d ‰¤ 1, a + b + c + d = 1, 0 ‰¤ d ‰¤ 0.5, a:b is between about 5:95 and about 95:5, a:c is between about 10:90 and about 90:10, b:c is between about 5:95 and about 95:5, (a+b):c is between about 10:90 and about 90:10, e is a number sufficient to balance the Pb, Bi, Te, and M components, and M is one or more additional elements.