870results about How to "Universally applicable" patented technology

The invention discloses a resource scheduling method under a Hadoop-based multi-job environment, which includes: (1) collecting the three-party monitoring information of cluster loads, a Hadoop platform and hardware in real time; (2) collecting the job execution monitoring information of a user on each computing node of a cluster in real time; (3) gathering the three-party monitoring data of the cluster, modeling to evaluate the computing capabilities of the nodes, and dividing the nodes of the cluster into superior computing nodes and inferior computing nodes; (4) if the nodes are the superior computing nodes, then starting a job task resource demand allocation policy based on similarity evaluation; (5) if the nodes are the inferior computing nodes, then returning to a default resource demand allocation policy of the Yarn. The resource scheduling method under the Hadoop-based multi-job environment solves the problem of resource fragments caused by oversize job resource demand division granularity in conventional resource schedulers of the Yarn, can comprehensively take the heterogeneity of cluster nodes and jobs into consideration, and increases the execution concurrency of the cluster by reasonably and effectively allocating the node resources, thus increasing the execution efficiency of the multiple jobs of the Hadoop cluster.

A process for the preparation of a catalyst system includes the steps of combining a support material with a first composition which includes at least one aluminoxane in a first solvent to provide an aluminoxane loaded support; and, contacting the aluminoxane loaded support with a second composition which includes at least one metallocene compound, a second solvent, and a cocatalyst, wherein the cocatalyst includes a second portion of the at least one aluminoxane alone or in combination with an ionic compound and/or a Lewis acid.

The invention relates to a chromatic confocal technique method and arrangement for the rapid three-dimensional measurement, in particular, of object shape, more particularly of a tooth in the jaw of a human being with an array of polychromatic point light sources, a planar detector matrix, arranged before means for lateral spectral separation and an objective for object illuminating and recording. According to the invention, spectral defined reference light bundles are generated also using components of the arrays of point light sources for chromatic calibration, wherein said reference light bundles are injected into the detection beam path via a reference bean path for chromatic lateral separation and then focused on the detector matrix as reference image points. Spectral reference points are calculated at the detector matrix positions and sub-matrices for spectral analysis of object light are digitally stored with pixel accuracy by means of the above positions which then serve for obtaining measurement points such that the detector matrix may be completely filled out with oblong sub-matrices, the planar array is arranged on the planar detector matrix rotated about an acute angle to the spectral axis, wherein the rotation is carried out about the optical axis (OA) of the arrangement, such that a connecting line of point light sources on projection thereof in the plane of the detector matrix includes an acute angle there with the spectral axis, the λ-axis.

The invention discloses a chlorophyll calculating method based on remote-sensing images and a water ecological model. The method comprises the steps of 1, based on remote-sensing image data, data preprocessing like radiometric calibration, atmospheric correction and image cropping and fusing is conducted; 2, a remote-sensing water quality inversion model is constructed, and respective inversion ofindexes like water temperature and chlorophyll concentration is achieved; 3, various index concentrations and future weather change which are obtained through inversion of the remote-sensing images are regarded as input conditions of the water ecological model, and the chlorophyll concentration dynamic change process of a water area environment is simulated within a future duration caused by change like nutritive substance conversion and algae growth and death under a future weather change condition. The chlorophyll calculating method is applicable to water environment monitoring and predicting, and has popularity and high calculation precision, chlorophyll concentration prediction and simulation of a large area of a drainage basin are achieved in real time under the condition of the limited monitoring site, and an integrated chlorophyll concentration predicting system integrating the remote-sensing images and the water ecological model can be formed.

The invention relates to a digital beam tracking method for a molecular matrix of a satellite mobile communication phased-array antenna. The digital beam tracking method is characterized by comprising the following steps: dividing a phased array into 4 quadrants, namely the first quadrant, the second quadrant, the third quadrant and the fourth quadrant, according to the rectangular coordinate system, wherein the beam direction of each unit in each quadrant is controlled by united phased control logic; each quadrant comprises a power combiner (1), power dividers (2) and a tracking and receiving module (3); signals of the 4 quadrants share a tracking signal processing module (6) and a power combiner (4); power synthesis is independently carried out to the signal of each quadrant by the respective sub-array power combiner (1) to form the power-synthesized signal; then each quadrant respectively divides the power-synthesized signal into two signals by the power divider (2) of each quadrant. The digital beam tracking method can stably and reliably track the satellite under high-speed movement shaking conditions of a carrier.

The invention provides a reliability assessment method for a distribution network including a photovoltaic power supply, comprising the following steps: establishing a multimode reliability model of the photovoltaic power supply and determining the power and the probability of each mode of the multimode reliability model; adopting an FMEA (failure mode and effect analysis) method to analyze all failures of the distribution network so as to obtain reliability indexes of all loads of the distribution network and the first class of reliability indexes of the photovoltaic power supply influenced by the distribution network; and determining the second class of reliability indexes of the photovoltaic power supply in accordance with the multimode reliability model and determining the reliabilityindexes of the distribution network in accordance with the reliability indexes of the all loads. The reliability assessment method is used to assess the distributed photovoltaic power supply reasonably and provides reliable judgment basis for the capacity that the distributed photovoltaic power supply accesses to the distribution network and position selection.

The invention discloses a method for rapidly detecting a car logo in videos and images, relating to an image processing system and aiming to provide a universally applicable method for rapidly detecting a car logo in videos and images on the basis of determining license plate coordinate information in the conventional license plate detection technology. The method for rapidly detecting the car logo in the videos and images comprises the steps of: (1) coarsely positioning the car logo; (2) pre-processing and filtering an image; (3) performing highlighting processing on a filtering result of the image to remove noise points from the image; (4) binarizing the image subjected to the highlighting processing; (5) selecting a binary image; and (6) extracting a car logo region exactly. According to the method for detecting and locating the car logo, provided by the invention, in a real-time video sequence, no only are short processing time and high accuracy rate achieved, but also no parameter information is contained. Thus, the method can be applied to various traffic occasions.

The invention provides an image classification method and apparatus based on multi-core learning classifier fusion. The method comprises steps of: S1, establishing a sample library which includes different types of samples; S2, performing feature extraction on the different types of samples and obtaining kernel functions corresponding to the different types of samples according to feature extraction results; S3, synthesizing the obtained kernel functions to establish a multi-core model; S4, training the multi-core model to obtain a plurality of classifiers; S5, using an Adaboost algorithm to assign different weights to the plurality of classifiers obtained in the S4 so as to fuse the plurality of classifiers to obtain a target classifier; and S6 classifying the images to be classified by using the target classifier to obtain a classification result. The image classification method of the present invention can improve the accuracy of image classification.

The invention provides a maximum power point tracking method based on efficient adaptive perturbation and observation. By the aid of the maximum power point tracking method, the problem that the step size used in a traditional perturbation and observation method in the photovoltaic-battery maximum power point tracking technology is difficult to balance, completely adaptive perturbation can be realized, and tracking speed, stability precision and universality of a system are high. The maximum power point tracking method with a basic principle includes that computing continuous output power values of a photovoltaic array according to filtered voltage and current signals; generating error signals according to changes among power signals; generating adaptive perturbation voltage values via a PI (proportional plus integral) controller; and finally generating a reference value of voltage of the photovoltaic array according to the basic principle of perturbation and observation. An error signal of an actual value and the reference value of the voltage of the photovoltaic signal is computed, and a duty cycle signal d required by a DC/DC converter is generated by another PI controller, so that on and off time of each power switch tube of a phase-shift full-bridge converter is controlled, power outputted by the photovoltaic array is adjusted, and the maximum power output point of the photovoltaic array can be tracked.

A step-motion actuator using piezoelectric material to launch a flight mass which, in turn, actuates a drive pawl to progressively engage and drive a toothed wheel or rod to accomplish stepped motion. Thus, the piezoelectric material converts electrical energy into kinetic energy of the mass, and the drive pawl and toothed wheel or rod convert the kinetic energy of the mass into the desired rotary or linear stepped motion. A compression frame may be secured about the piezoelectric element and adapted to pre-compress the piezoelectric material so as to reduce tensile loads thereon. A return spring may be used to return the mass to its resting position against the compression frame or piezoelectric material following launch. Alternative embodiment are possible, including an alternative first embodiment wherein two masses are launched in substantially different directions, and an alternative second embodiment wherein the mass is eliminated in favor of the piezoelectric material launching itself.

The invention relates to a continuous production device and method of orientation nanometer fiber yarns. The continuous production device comprises a yarn bobbin (6), a yarn guiding pipe (5) and a receiver (4); the yarn bobbin (6) is driven by a motor (2) to rotate and is located above the yarn guiding pipe (5); the yarn bobbin (6) and the yarn guiding pipe (5) are perpendicular to each other; the yarn guiding pipe (5) and the motor (2) are fixed on a rotating shaft of a motor (1); the receiver (4) is driven by a motor (3) to rotate; the axes of the motor (1) and the motor (3) are located on the same straight line. According to the continuous production device and method of the orientation nanometer fiber yarns, the continuous production of the nanometer fiber yarns is achieved and the application in the biological, textile, material and electronic fields of nanometer fibers is expanded.

The invention provides a measurement system and measurement method utilizing non-freezing model ice to obtain the ship model resistance in trash ice. First, by selecting non-freezing model ice from a conventional towing pool to replace frozen model ice in an ice pool, so that the towing pool without a low temperature environment is equipped with the condition of simulating ice trash working conditions; and then a unique buoy fence structure is designed on the surface of the towing pool to achieve simulation of an ice trash channel, and a force cell is used to realize measurement of the ship model resistance at different speeds. In addition, the invention adopts the means of firstly measuring the resistance of the open water and measuring the resistance at a very low speed (0.02m/s) under the floating ice condition, elements such as the open water resistance, the floating ice resistance and the clear ice resistance are separated, and the resistance performance of a corresponding ship model and a real boat in the working condition of trash ice is forecast. The measurement system and measurement method of the invention provides a new idea for measurement of the ship model resistance in the trash ice in a condition that now ice pool facilities in china are not perfect.

The invention discloses a seepage simulation method for constructing a coal body based on finite element-discrete element CT (Computer Tomography). The method comprises the following steps: performing industrial CT scanning to obtain a three-dimensional data body of the coal body, performing three-dimensional reconstruction, and removing an ''island block'' to obtain a general three-dimensional geometric model which can be called by simulation software; writing a coal body fracture discrimination algorithm by a discrete element simulation method, and determining whether the coal body is deformed, even fractured under the action of hydraulic pressure stress; meanwhile, realizing migration of coal body fragments formed after fracture in the coal body along with moisture flow based on an finite element simulation method by a mobile grid method; and performing numerical simulation of a moisture seepage pressure field, a seepage speed field and a coal body moisture increment at the same time in order to reveal deformation and fracture phenomena of the coal body and a migration rule of moisture in a water injection process of a porous medium coal bed to the maximum extent.

The invention discloses a method for preparing full-spectrum fluorescent carbon dots by using a one-pot method, wherein aniline is used as a precursor and is added with an organic acid, and growing isperformed in an organic solvent by a solvothermal method to obtain carbon dots with different fluorescence. According to the method, aniline and an organic acid are added into an organic solvent according to a certain ratio, and growing is performed through a solvothermal method at a reaction temperature of 120-250 DEG C for 2-48 hours to obtain carbon dots with different fluorescence; and afterthe reaction, the reaction kettle is naturally cooled to room temperature, and filtering is performed by using a 220 nm filtering membrane to obtain a carbon dot solution. According to the invention,the emission peak wavelength of the carbon dot synthesized by the method is 450-700 nm, the fluorescence emission peak of the carbon dot is hardly changed along with the change of the excitation wavelength, and the carbon dot has the characteristics of high fluorescence quantum yield and stable fluorescence intensity; and the preparation method has the advantages of simple synthesis steps, short period and high yield.

The invention discloses a frequency domain interpolation electric power harmonic wave analysis method based on discrete Fourier transform. The method comprises the following steps: (1) conducting time domain continuous signal discretization; (2) selecting an appropriate cosine-class window to weight a discrete sampling sequence according to measuring requirements; (3) performing fast Fourier transform on the sequence; (4) finding the two longest spectral lines close to harmonic waves in the form of spectrum peak searching, and calculating a spectrum value ratio between the two lines; (5) obtaining a frequency deviation according to a Newton interpolation method; and (6) further solving the amplitude, frequency and initial phase of sub-harmonic waves on the basis of the obtained frequency deviation. A fast interpolation based on table look-up is independent of a window function. The method is universally applied, and can be combined with any window function to conduct harmonic wave analysis. Meanwhile, no complex operation exits, the computational complexity is low, and the method is easy to realize in an embedded system.

The invention discloses a method for predicting the volume content of corrosion pores in a carbonate reservoir. The method comprises the following steps: step 1, obtaining physical parameters of the carbonate reservoir; step 2, based on the physical parameters obtained in the step 1, calculating the bulk modulus and shear modulus of saturated rock of an actually-measured carbonate reservoir; step 3, calculating the bulk modulus and shear modulus of a rock matrix of the carbonate reservoir and the bulk modulus of a pore fluid; step 4, establishing a dual-pore-medium critical porosity model, and calculating the bulk modulus and shear modulus of a rock framework of the carbonate reservoir; step 5, calculating the bulk modulus and shear modulus of saturated rock of the carbonate reservoir through a Geissmann equation; step 6, comparing the bulk modulus and shear modulus of saturated rock of the carbonate reservoir with the bulk modulus and shear modulus of saturated rock of the actually-measured carbonate reservoir, and calculating an error; and step 7, modifying the set volume content of corrosion pores, performing the step 4 to the step 6 in sequence, calculating an error corresponding to the set corrosion pore condition, and obtaining an optimal volume content of corrosion pores.