30results about How to "Flexible description" patented technology

The invention discloses a document flow information processing method and a device based on a format file and particularly discloses the following technical proposal: the file flow information of the format file is acquired, which is the file content structure information in the format file and/or the file layout self-adaptive presentation information in the format file; the file content of the format file is divided into content blocks according to the acquired file flow information; the content block division result information of the format file is described; the file flow information based on the format file after content block division is described, according to the content block division result information. Therefore, the file flow information for describing the format file is more practical and applicable, and any content of the format file can be flexibly described in file flow information, with more accurate description scope; besides, the file flow information processing is more flexible and simplified.

The invention belongs to programmable component structure technology field, specially a local programmable logic array wiring resource structure and modeling method which supports the crutch line. The wiring resource structure of the invention includes: programmable interconnected line, uniform switch matrix, input and output multi path selector array and logic unit. It breaks the limit of level and uprightness interlinkage resource, introduces the concept of crutch line, makes the wiring path not pass the programmable switch, it gives attention to speed and agility. The description of wiring line resource, the interconnected line is distributed to the repeated unit then integral interconnected resource is described by describing an interconnected line resource in a repeated unit. This describing method is very flexible, the kind, amount, proportion of interconnected resource can be changed conveniently, and any switch array can be generated.

The invention provides an excitation inrush current simulation method and device for an ultra-high voltage transformer under a condition of no-load closing. The excitation inrush current simulation method comprises the following steps: on the basis of the transitional area between the linear area and the non-linear area of the non-hysteresis curve, non-hysteresis magnetization intensity indicated by Langvin function is corrected; the corrected non-hysteresis magnetization intensity is utilized to establish a J-A magnetic hysteresis model; the parameters of the J-A magnetic hysteresis model are recognized; an analysis is conducted on the ultra-high voltage transformer and the differential magnetic susceptibility equation is determined; through the J-A magnetic hysteresis model and the differential magnetic susceptibility equation, the excitation inrush current of the ultra-high voltage transformer under the empty charging condition is determined. The excitation inrush current simulation method and device for the ultra-high voltage transformer under the condition of non-load losing correct the non-hysteresis magnetization intensity, enable the transitional area between the linear area and saturation area of the non-hysteresis curve to be closer to a true value and accurately simulate the magnetization characteristics of the transformer; moreover, the special construction of the ultra-high voltage transformer is considered and the excitation inrush current of the ultra-high voltage transformer under the condition of empty charging is simulated. Errors in the simulation are reduced.

The invention discloses a dynamic consistency control method in a massive data environment, comprising the following steps of: (1) carrying out initialization work on an environment by a main thread; (2) starting to monitor a read-write request, which is sent by a client-side, by a service node; (3) when the service node receives a data read-write request task sent by the client-side, firstly reading an operation type of the request task; (4) reading a deviation type of the request task and reading a deviation value of the request task; comparing a read result with an existing threshold value and then putting the read result to the tail part of a corresponding array; and (5) returning back to the step (2) and continuously monitoring requests sent by the client-side. According to the dynamic consistency control method provided by the invention, the difficulty that an existing key assignment type database cannot be used by different applications due to the difference between consistency requirements of service data can be overcome. Therefore, a user only needs to care about indexes and values of operated data to the consistency and does not need to spend a great deal of efforts to redevelop one set of the key assignment type database which only meets own service requirements.

The invention relates to a method for de-noising of a balanced morphology filter image optimized by a particle swarm, comprising the following steps of: firstly, defining an unit structure element of a zero square matrix, a balanced erosion operation and a balanced expansion operation; secondly, updating speeds and positions of particles by a particle swarm optimization technology after a peak signal-to-noise ratio is taken as a cost function, so as to enable a transformed value of the global optimum particle position to be as the size of the unit structure element; and finally, performing the balanced erosion operation on an image by the optimized unit structure element, then performing the balanced expansion operation, and outputting the image after the balanced expansion operation. The method for de-noising of the balanced morphology filter image optimized by the particle swarm, disclosed by the invention, overcomes the inherent shortages in an extreme value operation used by the present morphology, can adaptively obtain the size of the unit structure element according to the degree of pollution on the image caused by noise and effectively remove pulse noise in the image, as well as can be widely used in the fields of image processing, licence plate information extracting, edge detecting etc.

The invention discloses a method and device for achieving the structural description in a video monitoring system. According to the invention, a multilayer data structure is employed, wherein the multilayer data structure consists of an intelligent metadata flow, intelligent metadata, a metadata module, and attribute information, thereby achieving the structural description through the multilayer data structure. Based on the structural description through the multilayer data structure, the method can find a specific target in a large number of video files more easily and quickly, so as to carry out the intelligent applications, such as video search and positioning, and video abstract display. Moreover, the attribute information of each metadata module in the multilayer data structure can comprise one or any combination of time and space attributes, motion type attributes, detection type attributes and semi-structural attributes, thereby enabling the structural description achieved through the method to be more flexible and to be easier to expand.

The invention relates to a secondary de-noising image processing method. The method comprises the following steps of: firstly, defining a zero matrix unit structure element, and processing an image f through morphology operation to obtain a corresponding peak signal to noise ratio (PSNR); then updating the speed and position of particles through a particle swarm optimization technology by taking the peak signal to noise ratio as a cost function, and taking a transformed value of the optimized particle position as the size of the structure element; and finally performing morphology operation on the image f by using the structure element so as to obtain an optimal output image. By the method, the shortcoming caused by adopting extremum operation in the conventional morphology is overcome; the size of the structure element can be self-adaptively acquired according to the noise pollution degree of the image; impulse noise in the image can be effectively removed; and the method can be widely used in the fields of image processing, license information extracting and edge detecting.

The invention discloses a multi-attribute decision-making system based on an image fuzzy set. The multi-attribute decision-making system is characterized in that an acquisition module acquires a decision matrix from an input end; a data judgment module performs standardized judgment on the decision matrix; a normalization processing module acquires a non-normalized decision matrix from the data judgment module and performs normalization processing; a relative value calculation module calculates the image blurring relative closeness of each scheme; an absolute value calculation module calculates the image blurring absolute closeness of each scheme; a fusion calculation module calculates the image fuzzy comprehensive closeness of each scheme; a decision-making module obtains the image fuzzycomprehensive closeness of each scheme from the fusion calculation module, and determines the scheme with the maximum image fuzzy comprehensive closeness as the optimal scheme after sequencing the advantages and disadvantages of the schemes; and a display module obtains the optimal scheme from the decision module and displays the optimal scheme.

The invention provides a data product metadata providing device and method, and the device comprises a user interaction module which is used for receiving data demand information inputted according to a preset field requirement; the data product description module is used for describing the data product by utilizing the hierarchical associated polymorphic information and matching the data demand information with the hierarchical associated polymorphic information to determine port information of the data product; the user interaction module is also used for acquiring and outputting data product metadata according to the port information; wherein the predetermined field requirement is determined according to the polymorphic information associated with the hierarchy; wherein the element type of the polymorphic information comprises data provider information; wherein under the condition that the product form of the data product is a data file or a data source service, the polymorphic information comprises field value coefficients, and the sum of all the field value coefficients in the polymorphic information meets a set standard. Through the scheme, data product transaction can be facilitated.

The invention discloses an image blurring multi-attribute decision-making method based on bidirectional projection. The image blurring multi-attribute decision-making method includes the steps: basedon a TOPSIS method, constructing an image fuzzy relative closeness formula based on bidirectional projection; in a multi-attribute decision problem, constructing an image fuzzy weight absolute regularprojection model and an image fuzzy absolute closeness formula based on bidirectional projection by considering the relationship between the scheme and an image fuzzy absolute positive ideal solutionand the relationship between the scheme and an image fuzzy absolute negative ideal solution; fusing the image blurring relative closeness formula and the image blurring absolute closeness formula based on bidirectional projection, and establishing an image blurring comprehensive closeness formula; and finally, sequencing the advantages and disadvantages of the scheme set by utilizing the values of the image fuzzy comprehensive closeness degrees of the schemes, and determining the scheme with the maximum image fuzzy comprehensive closeness degree as the optimal scheme, thereby realizing accurate analysis and decision.

The invention provides a coating random multiphase two-dimensional physical model modeling method, which comprises the following steps of: constructing a coating two-dimensional multi-scale random medium, intercepting a lubricating phase and pore position coordinate from a total node on the coating two-dimensional multi-scale random medium by a threshold intercepting method, and taking residual nodes as a matrix position coordinate to obtain a coating two-dimensional multiphase two-dimensional physical model. And obtaining a random multiphase two-dimensional physical model of the coating. In addition, the invention provides a coating performance evaluation method, which comprises the following steps of: constructing the coating random multiphase two-dimensional physical model by the coating random multiphase two-dimensional physical model modeling method; and based on the random multiphase two-dimensional physical model of the coating, performing numerical simulation by adopting a finite element method to obtain coating performance parameters, and evaluating the coating performance.