42 results about "Arbitrary distribution" patented technology

A system and method of determining a master node in a computer system having a plurality of nodes includes establishing a hierarchy of master nodes from the plurality of nodes, wherein the master node synchronizes the plurality of nodes in the computer system with a clock value and determining the master node from the hierarchy of master nodes. A system and method of synchronizing a plurality of nodes in a computer system includes determining a master node from the plurality of nodes, sending a clock value from the master node to neighbor nodes of the master node, synchronizing a node clock in each node receiving the clock value if a predetermined period of time has elapsed in each receiving node, distributing a node clock value from each synchronized node to neighbor nodes of the synchronized node, and repeating synchronizing and distributing, wherein synchronizing a node clock in each node receiving the clock value includes each node receiving the node clock value.

The invention discloses a preparation method of a magneto-rheological elastomer with programmable magneto-deformation, which comprises the following steps: a, printing magnetic short fibers with specific distribution and orientation on a magnetic wire rod through a 3D printer, and applying a magnetic field in the printing process to regulate and control the magnetic domains of the short fibers; and b, packaging the magnetic short fibers printed in the step a by using silicone rubber, and curing to prepare a magneto-rheological elastomer material with anisotropic magnetic moment inside. The magnetic short fibers with arbitrary distribution and orientation can be printed by using the 3D printer; therefore, the magnetic moment of the magneto-rheological elastomer under the magnetic field canbe designed, any magneto-deformation property can be obtained, the programmable deformation driving capacity of the magneto-rheological elastomer is achieved by designing the magnetic moment in the magneto-rheological elastomer, and the magneto-rheological elastomer is endowed with rich driving capacity.

The invention discloses a method for calculating a probabilistic power flow of a hybrid power grid with consideration of correlation high-dimensional random variables. The method comprises: determining a probability distribution type and a parameter according to historical data of random variables in a hybrid power grid and calculating a correlation matrix RX between the random variables; transforming the random variables conforming to random distribution to a standard Gaussian distribution domain and calculating a correlation matrix RZ between the standard Gaussian distribution based on the correlation matrix RX between the random variables; according to the correlation matrix RZ, calculating a covariance matrix PZZ between the standard Gaussian distribution; determining a proportional expansion coefficient alpha in disposal of the random variables conforming the standard Gaussian distribution by an STUT algorithm; selecting a sample point Z in the standard Gaussian distribution domain; carrying out inverse transform on the sample point Z to a multidimensional arbitrary distribution domain; carrying out hybrid power grid deterministic power flow calculation group by group by using2n+1 groups of sample points in the multidimensional arbitrary distribution domain as input amounts; and acquiring a calculation result of the probabilistic power flow analysis of the hybrid power grid. Therefore, a problem of high-dimensional random variables with relevant correlations in the actual AC-DC hybrid power grid probabilistic power flow analysis is solved; the weak link during the actual AC-DC hybrid power grid running process is discovered timely; and the reliability and safety of the grid running are improved.

The invention discloses an automatic pickup method of an earthquake preliminary wave based on mean shift clustering analysis. The method comprises the steps of: preprocessing earthquake data, converting waveform information into point density information, performing clustering on preprocessed records, giving a channel with a higher signal-to-noise ratio to serve as an initial channel for startingpickup, optimizing clustering centers corresponding to the preliminary wave according to the principle of minimum time difference starting from the initial channel, processing a record obtained from single shot by using a MeanShift clustering algorithm in view of the characteristic that the amplitude of the preliminary wave is the highest, optimizing the clustering result, and obtaining a corresponding first arrival time to serve as an automatic pickup result. According to the automatic pickup method disclosed by the invention, a probability density distribution function of sample data does not need to be known in advance, dependence is completely made on the calculation of sample points, certain convergence is performed in the case that the sampling is sufficient, and density estimationcan be performed on data complying with arbitrary distribution.

The invention discloses a cause-and-effect structure learning method based on flow characteristics. The method comprises following steps of 1: generating and distributing any new characteristic in a flow manner; 2: carrying out a correlation analysis on each of newly generated characteristics; 3: carrying out a redundancy verification analysis on a characteristic set; 4: carrying out searching orientation based on each of the characteristics; 5: repeating steps of 1-4 until the numbers of the generated characteristics exceed a limit value, finally obtaining a corresponding cause-and-effect structure. According to the invention, a cause-and-effect structure relation can be found in linearly randomly distributed data with flow characteristics and time complexity of learning is reduced, thereby satisfying timeliness requirements of online learning.

Arbitrary numerical distributions are presented for use in devices having limited processing and storage capabilities by having the device accept strings of arbitrarily distributed numbers from a source outside of the device. In one embodiment, a master controller creates a table of values which follow the desired minimum, maximum, mean, and standard deviation, etc. of the particular desired statistical distribution required. The created table is then communicated to the limited capacity device and can be used whenever a distribution of random values is required. The master controller could have one of several slave devices associated with it in the system. In another embodiment, where the storage capability of the device is large enough to store a table of values with sufficient different entries to create a distribution of satisfactory “randomness” for the particular application, a random number generator within the device is used to select the order of presentation of the table of values.

The invention discloses a method for obtaining equivalent laser spots with any shape and energy section based orthogonal acoustic-optic deflectors. According to the method, due to the use of two acoustic-optic deflectors which are mutually-orthogonally arranged, a laser beam is enabled to be scanned in the orthogonal direction and is focused to obtain finely-focused equivalent laser spots; in addition, the shapes of the equivalent laser spots and the laser scanning density are effectively controlled, so that any distribution of the shapes and the energy sections of the equivalent laser spots is realized; and the method not only can be used for producing a three-dimensional microstructure, but also can be used for high-precision processing of the surfaces of workpieces.

The invention discloses an optical orientation device for achieving arbitrary distribution through single exposure and a preparation method of an optical element. The optical orientation device comprises a light source, a linear polarized membrane, a pixelate electrically-controlled phase delay device and a phase delay wave plate which are placed sequentially in space, wherein the light source isused for providing light required for optical orientation exposure; the linear polarized membrane is used for changing the light emitted by the light source into linear polarized light of which the polarization direction is parallel to the direction of a linear polarized membrane transmitting axis; the phase delay of each pixel of the pixelate electrically-controlled phase delay device is respectively controlled by corresponding voltage and used for generating the phase delay with arbitrary picture distribution; and a phase retarder is used for generating non-pixelated phase delay. The opticalorientation device for achieving the arbitrary distribution through the single exposure and the preparation method of the optical element have the advantages that the relative optical axis directionsof the linear polarized membrane, pixelate electrically-controlled phase delay device and phase delay wave plate and a phase delay value of each phase delay device are designed, polarization graphs with arbitrary shapes can be generated, and corresponding arrangement contours are formed on a polarization sensitive medium.

The present invention relates to a lighting device enabling arbitrary distribution of light, which includes: a hollow receptacle having a cover to be opened or closed; a pivot part mounted in a fixing hole provided in the bottom of the receptacle so as to be tilted and pivoted; a light module part connected through an adjustment shaft to the pivot part, the light module part being tilted and pivoted by the pivot part so as to control the distribution of light; and a fixing part for adjusting the pivot part to be fixed or to be tilted and pivoted. The present invention enables a plurality of light modules to be separately adjusted to control the distribution of light, and provides fixing means for fixing the positions of the light modules thus adjusted, so that the distribution of light may be controlled regardless of the installed position of the lighting device, thereby preventing light from penetrating into surrounding buildings.

The invention discloses a value resolving method of a fault correlation voting system reliability mathematic model. The method comprises the following steps: step one, obtaining the fault correlation voting system reliability mathematic model; step two, simplifying a reliability formula; step three, performing elimination on equivalent time; step four, arranging multiple integrals in the reliability formula into repeated integrals; and step five, applying a pseudo fixed value Gauss method to the multiple integrals in the reliability formula to obtain resolutions of the multiple integrals, and finally substituting the resolutions into the reliability formula to obtain fault correlation voting system reliability. The method provided by the invention is applied to a fault correlation voting system comprising random distribution forms of non exponent distribution and expands the application scope of an analytic method. The method starts from a value resolving method, does not require vast data for simulation, and can effectively improve the calculation speed and precision.

The invention discloses a gravity forward acceleration method in a spherical coordinate system. The method comprises the steps of dividing a global three-dimensional model into a series of non-overlapped spherical shell units; respectively establishing a corresponding octree structure for an observing point and the spherical shell units; for aiming at each observation point octree cell, respectively dividing the spherical shell unit octree (source octree) cell to a near field and a far field; respectively calculating the gravity parameters of the near field and the far field; calculating a near field integration based on a Gaussian value integration formula of the spherical shell unit included in the near field, and obtaining a near field gravity parameter; based on the observation point octree and the source octree, adopting an adaptive multilayer rapid multipolar sub-algorithm for calculating a far field integration, and obtaining a far field gravity parameter; calculating the summation of the near field gravity parameter and the far field gravity parameter which are calculated, and obtaining an observation point gravity parameter. According to the gravity forward acceleration method, gravity forward calculation can be performed on satellite gravity observation points which are randomly distributed based on spherical shell dividing, thereby greatly improving satellite gravityforward calculation efficiency.

The invention provides a random variable sampling simulation method, which comprises the following steps of: dividing an area, enclosed by a probability density curve of a random variable X and a horizontal coordinate axis, into n vertical bars with equal width, calculating an empirical cumulative distribution function FX (xi) of the random variable X; obtaining a sample value x of the random variable X by a linear interpolation method according to the empirical cumulative distribution function FX (xi) of the random variable X. According to the random variable sampling simulation method, the sampling simulation can be carried out only knowing the probability density curve of the random variable, the inverse function of the cumulative distribution function of random variable is not required, and the method is suitable for sampling simulation of random variable of arbitrary distribution type, and has the advantages of wider application range and stronger applicability to practical problem analysis.

The invention relates to a power system uncertainty time-domain simulation method based on an improved sparse probability allocation method. The method mainly comprises the following steps: 1) puttingforward an improved sparse probability allocation method based on a Kronrod extension method; and 2) performing uncertainty quantization of power system time-domain simulation by the improved sparseprobability allocation method. Compared with the prior art, the method disclosed by the invention has the advantages that the quantity of required samples is reduced greatly under the condition of keeping the calculation accuracy of an uncertainty quantification result; the uncertainty time-domain simulation speed is increased; adaptation to random distribution of uncertainty parameters can be realized; and the influences of uncertainty parameters such as the wind speed of a wind power plant, the load demand and a failure occurrence position in time-domain simulation on a simulation result canbe considered comprehensively.

The invention proposes an electromagnetic vector-sensor linear array de-coherent multiple signal classification (MUSIC) parameter estimating method. M electromagnetic vector-sensor linear arrays distributed randomly on the y axis receive K coherent narrow bands and the electromagnetic signals of a stable far-field; the arrays obtain synchronous sampling data for N times; according to the rotation invariant feature of the sub-matrixes, the data covariance matrixes before and after the transform and the data covariance matrixes before and after the transform are obtained; based on the data covariance matrixes before and after the transform, the data covariance matrix after the de-coherent is obtained; singular value decomposition is performed to the data covariance matrix after the de-coherent to obtain the signal subspace and noise subspace; the noise subspace is used to construct the MUSIC spatial spectrum; and through the one-dimensional MUSIC spectrum peak, the arrival angle is searched and obtained. The method of the invention is combined with the use of space rotation de-coherent and the thought of the smooth sliding of a previous and after item, which means that on the premise of no loss of the array aperture, the precision of parameter estimation is increased greatly, and the method holds true for both uniform and non-uniform linear arrays.

The invention provides a method for solving the steady state probability of a polymorphic system under a general distribution, which can establish a system state equation for a system of arbitrary distribution and give a method for obtaining the steady state probability of the system. The transition of system state is described as a generalized Markov process by using the supplementary variable method, and the state equation of the system is transformed into an ordinary differential equation according to the characteristic that the system state does not change according to the absolute time inthe steady state. Combined with the boundary conditions and initial conditions of the system, the equations are solved preliminarily, the important parameters of the system state equation are extracted by using the generalized integral mean value theorem, and the system state equation is transformed by means of the equivalence relations among the parameters. The generalized probability equation is obtained by using the total probability formula and solved by using the least square method. This method can significantly reduce the difficulty of obtaining the steady-state solutions of state probabilities of multi-state systems and has certain universality. It is suitable for solving the problems of system state analysis and maintenance strategy optimization in the fields of reliability engineering and mechanical engineering.

The invention discloses a detection method of SPAD (soil and plant analyzer development) indexes of tea leaves, and the detection method comprises the following steps: (1) collecting single band spectra images of to-be-detected tea leaves in six characteristic wavelengths, and the six characteristic wavelengths being 409nm, 428nm, 496nm, 506nm, 530nm, 1000nm; (2) on the basis of the linear relations of the gray value and the reflectivity of the single band spectra images, converting the single band spectra images of the step (1) into reflectivity images; (3) according to a formula, calculating to obtain the SPAD index of each pixel point in the reflectivity images of the tea leaves. The detection method can rapidly detect the SPAD indexes of the tea leaves in random space distribution to obtain the spatial distribution information of the SPAD indexes of the tea leaves.

The invention provides a grouping-based user selection method in a heterogeneous network. The method mainly comprises the following steps: setting multiple grouping vectors according to a micro cell in a heterogeneous network, calculating the direction deviation between the interference channel vectors of a macro base station to users in the micro cell and the grouping vectors, and grouping the users in the micro cell according to the direction deviation; selecting one benchmark user from each user group in the micro cell, and selecting candidate users other than the benchmark user from each user group according to the relationship between the interference channel vector of the macro base station to the benchmark user and the interference channel vectors of the macro base station to the other users in the user group; and selecting service users in the micro cell from the benchmark users and the other candidate users. Users optimizing the system performance can be selected to provide service under arbitrary distribution of users. Cross-layer interference to users in a heterogeneous network can be reduced, and the performance of the heterogeneous network system can be improved.

The invention discloses an inter-axle torque global active allocation in-time four-drive system. The inter-axle torque global active allocation in-time four-drive system comprises a power input shaft,a front axle, a rear axle, a first planetary gear train, a second planetary gear train, a TV control motor, an input chain wheel and an output chain wheel. The first planetary gear train comprises afirst sun wheel, a first planet wheel, a first planet carrier and a first inner gear ring. The second planetary gear train comprises a second sun wheel, a second planet wheel, a second planet carrierand a second inner gear ring. The TV control motor is provided with a hollow output shaft, the rear axle is sleeved with the hollow output shaft in a hollow mode, and the hollow output shaft is connected with the second inner gear ring through a reducing mechanism. The input chain wheel is fixedly connected with the power input shaft. The output chain wheel and the input chain wheel achieve powertransmission through a transmission chain therebetween, and the output chain wheel is fixedly connected with the front axle. The inter-axle torque global active allocation in-time four-drive system can realize the function of arbitrary distribution of torque between the front and rear axles.

The invention discloses an inter-axle torque global active allocation in-time four-drive system. The inter-axle torque global active allocation in-time four-drive system comprises a power input shaft,a front axle, a rear axle, a first planetary gear train, a second planetary gear train, a third planetary gear train, a TV control motor, an input chain wheel and an output chain wheel. The first planetary gear train comprises a first sun wheel, a first planet wheel, a first removable planet carrier and a first inner gear ring, and a hollow shaft arranged on the rear axle in a sleeving mode is arranged on the first planet carrier. The second planetary gear train comprises a second sun wheel, a second planet wheel, a second planet carrier and a second inner gear ring. The third planetary geartrain comprises a third sun wheel, a third planet wheel, a third planet carrier and a third inner gear ring. The TV control motor is provided with a hollow output shaft, the rear axle is sleeved withthe hollow output shaft in a hollow mode, and the hollow output shaft is connected with the third inner gear ring through a reducing mechanism. The input chain wheel is fixedly connected with the power input shaft. The output chain wheel and the input chain wheel achieve power transmission through a transmission chain therebetween, and the output chain wheel is fixedly connected with the front axle. The inter-axle torque global active allocation in-time four-drive system can realize the function of arbitrary distribution of torque between the front and rear axles.