30 results about "Algorithm transformation" patented technology

The invention relates to a deep defect quantifying method based on an eddy rotating probe signal. The method comprises the steps of 1, acquiring a calibrated defect impedance variation vector signal; 2, performing differential treatment for the defect signal; 3, normalizing the signal; 4, forming a calibration quantifying curved line; 5, acquiring an actual signal; 6, performing deep defect quantifying for the actual signal through the calibration quantifying curved line. With the adoption of the method, the problem of failure of quantifying of a rotating probe can be solved; the algorithm transformation is performed to solve the drifting problem of an absolute signal.

The invention discloses a mixed type scheduling method and system for a cloud platform wide node scientific workflow. The method comprises the following steps that: when each scheduling stage is initialized, utilizing bond energy algorithm transformation to construct a task into a task multilayer clustering tree structure; in a global initialization stage, utilizing the bond energy algorithm transformation and basic dichotomy multi-layer division to construct scheduling resources into a cloud resource multilayer tree structure; according to the mapping deadline of a task group and the each-dimension resource distribution of scheduled resources, carrying out a mapping operation on the node of a task subtree in the multilayer clustering tree structure and the node in a cloud resource multilayer tree structure; at the scheduling tail of the stage, judging whether the amount of tasks which finish the mapping operation exceeds a set threshold value or not; and if the amount of tasks which finish the mapping operation exceeds the set threshold value, classifying tasks which do not finish mapping to a next scheduling stage, and re-distributing the deadline of residual tasks. By use of themethod or the system, the scheduling method of the dynamic scheduling and the static scheduling of dual features is fused, and the energy cost optimization of a cloud resource provider is realized onthe basis of meeting user execution time requirements.

The invention mainly relates to the field of non-contact large rotary mechanical high-speed rotating blade parameter measurement technologies and intelligent fault diagnosis systems, in particular to a method for automatically and synchronously positioning the high speed blades \by directly transforming and matching signals output by the conventional non-contact sensor. The method is suitable for a parameter non-contact online measurement system for most of rotary mechanical rotor blades. In order to fulfill the aim, the technical scheme provided by the invention is that: a device for automatically and synchronously positioning the high-speed rotating blades comprises a non-contact sensor for measuring a blade arrival signal, a high-precision blade tip timing module for receiving the signal output by the non-contact sensor to obtain a blade arrival time sequence {t}, and a signal processing module for performing algorithm transformation to obtain an included angle sequence {phi}. The method and the device are mainly applied to large rotary mechanical high-speed rotating blade parameter measurement occasions.

The invention belongs to the information safety field, which relates to an encryption method based on algorithm transformation. The password (encryption) algorithm is uncertain and changeable, some calculation components in the password algorithm are random and one of n functions or calculation methods, some structures of the algorithm are uncertain, or the order of some calculation components is changeable, and all the uncertainties are determined by one part of data in the key. The encryption method has the following advantages: because the uncertain algorithm, the password analysis is very difficult, which caused by leakage of the algorithm information; the current password analysis aims at the certain algorithm, so when the algorithm is uncertain, the password analysis is difficult to execute, simultaneously the types of the algorithm are diversified; and the calculation quantity is not greatly increased, so the key space is greatly improved under the condition that the calculation quantity is not obviously increased, and the uncertainty and the complexity of the password system are improved to improve the safety.

The invention discloses a compiling method and device suitable for a storage and calculation integrated computer device, computing equipment and a storage medium. The compiling method comprises the steps of obtaining operation information of a to-be-compiled algorithm; converting the to-be-compiled algorithm into a first intermediate representation according to the operation information, the firstintermediate representation comprising operator operations executed by the storage and calculation integrated computer device; mapping the first intermediate representation into a second intermediaterepresentation, wherein the second intermediate representation comprises a corresponding relationship between hardware information and operator operation of the storage and calculation integrated computer device; and according to the hardware information, compiling the to-be-compiled algorithm into instruction information identified by the storage and calculation integrated computer device, so that the storage and calculation integrated computer device executes the instruction information. According to the compiling method, the operation information can be compiled into an instruction which can be directly executed by the storage and calculation integrated computer device, so that the effect of performing accelerated operation on various algorithms by utilizing the storage and calculationintegrated computer device can be realized.

The invention discloses a nonlinear underwater image gain algorithm for hyperbolic tangent deformation function transformation. The problems of obvious noise pollution, low contrast ratio, low brightness, low saturation, color distortion and the like of underwater optical images due to water transparency, light and the like can be obviously improved through algorithm transformation of the invention. Firstly, an underwater grating image file is read as matrix data, three layers of matrix data of RGB three channels are extracted respectively, a hyperbolic tangent deformation-based function with an expansion coefficient k is constructed, the gain degree and the key gain color gradation range can be controlled through the appropriate expansion coefficient k, and a hyperbolic tangent deformation function is constructed; the function is used to carry out gain transformation on three layers of matrix data of three channels of RGB, and then the three color channels are merged and converted into a new image. The underwater optical image is processed through the algorithm, the contrast and brightness of the underwater image are improved, important color gradation is reasonably redistributed, and the dark area and the color gradation are improved while detail information of the image is reserved and even enhanced.

The invention is adaptable to the technical field of automation of electronic design, and provides a method for algorithm transformation. The method includes converting a C-language program or flowchart of the C-language program into a state graph, simplifying the state graph to obtain the simplified state graph including control logic and arithmetic logic, separating the arithmetic logic from the simplified state graph, implementing the arithmetic logic through hardware and determining the implemented result as a data path, separating the control logic from the simplified state graph, implementing the control logic through hardware and determining the implemented result as a controller, and implementing the data path and the controller by hardware description language HDL. Since the C-language is converted into the state graph to construct the data path and the controller which are implemented by the HDL, poor universality in conversion from the C-language to the HDL hardware implementation is overcome.

The invention provides a system for saving and analyzing log data, and the system comprises a log data compression and conversion part which is used for compressing high-frequency data appearing in the log data or using a conversion function to compress the high-frequency data to obtain a new log data structure and storing the new log data structure; a log analysis part used for rearranging, iteratively accessing and sequencing the converted log data by using a specified algorithm; and a log data decompression and restoration part that restores the original log data using inverse transformation of the algorithm transformation used by the log data compression and conversion section. Logs are stored by utilizing the hash table through an optimized storage structure, so that the processing time of the business logs can be greatly shortened, and the optimization problem of query and analysis of big data is solved.

The invention belongs to the technical field of FPGA hardware algorithm acceleration, and discloses an algorithm acceleration method and system for large number modular exponentiation, a medium, a device and application. The system comprises a Montgomery algorithm module, an R-L mode modular exponentiation algorithm module, a top layer module, a serial port communication module, a modular exponentiation state control module, a modular multiplication state control module and a modular multiplication operation module. According to the present invention, various operations are completed through various functional modules and the corresponding design schemes, the form of converting an algorithm into modules is solidified into the functional modules on various circuits, and higher stability and compatibility are achieved; by utilizing the parallelism of an FPGA, the large number modular exponentiation algorithm is greatly accelerated; a special low-complexity Montgomery operational circuit is used for real-time processing, so that the characteristics of high density, high reliability and low power consumption are realized; a IP core is packaged, and the algorithm has the very good transportability and high flexibility.

The invention provides an algorithm conversion method and system in a heterogeneous many-core processor, and the technical scheme of the method comprises the steps: predefining a data structure of a C + + algorithm recognition library in a main core of the heterogeneous many-core processor, predefining a statement recognition rule and a grammar mapping rule for converting a C + + algorithm into a C language, and carrying out the grammar analysis of a C + + source code through an ANTLR technology, forming an abstract syntax tree; traversing the abstract syntax tree, analyzing a C + + algorithm definition file, and constructing an algorithm recognition library according to a data structure of a predefined C + + algorithm recognition library; traversing the abstract syntax tree again, and mapping a C + + source code algorithm statement to a libcstl based on a C language according to a syntax mapping rule; and reconstructing the C + + source code algorithm statement according to the grammar rule of the libcstl, and converting the C + + algorithm into the libcstl of the C language. The problems that an existing STL algorithm is complex in implementation and complex and time-consuming in reconstruction, and a manual writing mode is low in efficiency and high in cost are solved.

The invention relates to a parameter issuing method, device and equipment for ultrasonic equipment and a computer storage medium, and the method comprises the steps: receiving an adjustment instruction, and converting the adjustment instruction into parameter data according to a preset algorithm; putting the parameter data into a pre-registered linked list, and triggering an adjustment identifier corresponding to the parameter data in the linked list; and traversing the adjustment identifier in the linked list, and issuing the parameter data corresponding to the triggered adjustment identifier to a scanning controller of the ultrasonic equipment. According to the invention, the algorithm conversion of the adjustment instruction is separated from the input and output control, so that the parameter data issuing efficiency is improved.

The invention relates to the technical field of antenna signal detection, and provides a low-complexity signal detection method and system, and the low-complexity signal detection method employs a layered updating mode, and is more beneficial to the design and implementation of a high-throughput hardware architecture. And meanwhile, through algorithm transformation or approximation, the algorithm and implementation complexity is effectively reduced. In the interference elimination process, the constellation point characteristics are utilized, operation is carried out on an operand with a smaller bit width, a critical path during hardware implementation is effectively shortened, and implementation complexity is reduced; in the constellation matching process, a new reliability measurement method is provided by utilizing the characteristics of a quadratic function, so that the number of required multiplication and addition operations is reduced by half respectively; a signal detection method is reconstructed into initialization and iteration steps so as to reduce the processing period, and multiplication, addition and sorting operations required in the initialization process are completely eliminated through an approximation method.

The invention provides a method for measuring the rotation speed based on fusion of several kinds of characteristic data. The method comprises: collecting more than one kind of motor rotation speed characteristic data; processing the rotation speed characteristic data by using an autocorrelation function to obtain a periodic signal of a data waveform; carrying out algorithm transformation to obtain a frequency corresponding to the data waveform; and inputting the corresponding frequency into a data fusion prediction model for fusion to obtain a rotation speed of the motor. In addition, the invention also provides an apparatus for measuring the rotation speed based on fusion of several kinds of characteristic data. The apparatus includes a sensor module, a display module and a main controlmodule. According to the invention, the rotation speed is calculated based on fusion of several kinds of characteristic data; the stability and accuracy of the rotation speed measurement are improved;and a problem of the mounting trouble of the existing device is solved.

A method for ascertaining features in an environment of at least one mobile unit for implementation of a localization and/or mapping by a control unit. In the course of the method, sensor measurement data of the environment are received, the sensor measurement data received are transformed by an alignment algorithm into a cost function and a cost map is generated with the aid of the cost function, a convergence map is generated based on the alignment algorithm. At least one feature is extracted from the cost map and/or the convergence map and stored, the at least one feature being provided in order to optimize a localization and/or mapping. A control unit, a computer program, and a machine-readable storage medium are also described.

The invention provides a hyperspectral image reconstruction method based on a regional dynamic depth expansion neural network. The method comprises the following steps: S1, simulating a true value image of hyperspectral data; s2, performing mask coding on the true value image to obtain an aliasing image; s3, performing data preprocessing on the aliasing image, and inputting the aliasing image into a deep expansion neural network for training; the deep expansion neural network comprises a region weight generation module, a threshold iterative algorithm transformation module and a pixel-level adaptive threshold module; and S4, performing spectral image reconstruction by using the trained deep expansion neural network. According to the method, the deep expansion neural network based on regional dynamics is adopted to dynamically guide generation of the reconstruction transform domain according to the regionalization features of the aliasing image, the image reconstruction quality in snapshot compression spectral imaging is effectively improved, the method is more convenient and flexible in network training and practical use, computing resources are saved, and time consumption is reduced.

A JavaScript obfuscation method based on syntax tree AST editing comprises the following steps that JavaScript source codes are compressed to remove redundant codes, and an AST syntax tree is generated through analysis; traversing the AST syntax tree, and editing and converting the grammar in the AST syntax tree; creating an array array A, extracting a character string of the AST syntax tree, and converting the character string into a data dictionary of a two-dimensional array through a specific algorithm; a decoding method is created, and the decoding method and the random redundancy method are randomly inserted into the array A in the previous step; creating a self-execution method funtionF, transmitting the parameters of the two-dimensional array array A as arguments into the self-execution method funtionF, and combining the decoding method with the self-execution method funtionF to generate a new AST syntax tree; all character string nodes in the original AST syntax tree are converted into a decoding method Function H; the original AST syntax tree is inserted into the new AST syntax tree to replace all digits and variables, and the new AST syntax tree of a brand new structure is obtained; the new AST syntax tree is restored into the JavaScript code, and after blank space line feed compression is removed, the JavaScript code is output to obtain an obfuscated code.