38results about How to "Increase the number of iterations" patented technology

The invention discloses a hydrothermal economical scheduling method based on an improved quantum particle swarm algorithm, and the method comprises the steps: building a hydrothermal economical scheduling mathematic model comprising a cascade reservoir; setting system parameters, and generating an initial population; carrying out the constraint handling of the initial population through employing a constraint handling method, and enabling each particle in the initial population to meet the system constraint; calculating the adaptability value of each particle, and updating the individual optimal value of each particle and the global optimal value of all particles; calculating the positions of particles according to a position calculation formula of the improved quantum particle swarm algorithm; judging whether an end condition is met or not: stopping the iteration and outputting the optimal value if the end condition is met, or else, carrying out returning. The method can find a solution which is high in robustness, is high in convergence speed, and is better in adaptability value.

A password-based key derivation function includes a sub-function that gets executed multiple times based on an iteration count. A key derivation module computes the iteration count dynamically with each entered password. The iteration count is computed as a function of the password strength. Specifically, the weaker the password, the higher the iteration count; but the stronger the password, the smaller the interaction count. This helps strengthen weaker passwords without penalizing stronger passwords.

The control voltage for a VCO (voltage controlled oscillator) is produced in a phase locked loop which in turn is controlled by a computer (40) including an integrated analog circuit (42). First the oscillator control voltage is set to a predetermined value. Then, voltage varying steps are performed. For performing these steps, the circuit includes a main frequency divider and a reference frequency divider both functioning as counters. The beginnings of the counting of each divider are synchronized with each other. The oscillator control voltage is increased by a predetermined voltage difference or increment when the reference divider completes its counting period prior to the main divider completing its counting. The oscillator control voltage is decreased by a predetermined voltage difference or decrement when the main divider finishes its counting period prior to the reference divider finishing its count.

The invention discloses a ship power system fault diagnosis method, which is a fault diagnosis method for preprocessing fault acquisition signals on the basis of learning vector quantization network prediction to achieve higher precision. Feature values of fault signals are extracted through wavelet transform to serve as input of a learning vector quantization network, fault classification is achieved in the process, and a trained model is used for diagnosing faults. According to the method, the fault diagnosis of the ship power system is realized, the diagnosis accuracy of the optimized algorithm is obviously improved, and the neural network training times and errors are reduced. Compared with a common ship power system fault diagnosis method, the reliability and practicability of ship power system fault diagnosis are enhanced, and the speed and effectiveness of fault diagnosis are improved.

The invention discloses an electric vehicle travel planning method based on multi-target optimization, generally comprising the following steps: (1) a travel planning problem model is established; (2) drivers provide travel information; and (3) an optimal scheme is solved based on a timed multi-target ant colony optimization algorithm. The problem model comprises a road network model, a vehicle model, and travel target and travel constraint definition. Travel information includes: not providing any information, providing constraint information, and providing optimization goal and constraint information. The ant colony optimization algorithm includes the steps of pheromone initialization, route transfer probability calculation, travel scheme search, air conditioner use determining, travel scheme ranking, pheromone updating, and loop optimization. A dynamic stochastic road network model is used to describe the traffic environment and plan the travel of electric vehicles, and target characteristics corresponding to different travel schemes can be reflected. The ant colony optimization algorithm ensures that a multi-target and multi-constraint optimized electric vehicle travel scheme is generated as the number of iterations increases.

The invention discloses a method for realizing general demodulation of different modulating signals. The method comprises the following steps: firstly, using the direct numerical frequency synthesis method to generate two routes of local orthogonal carrier signals by expanding the rotation mode under the circumferential coordinate in the coordinated rotation digital computer (CORDIC) algorithm of a convergence domain to synthesize equidirectional subcircuit data xI (t) and orthogonal subcircuit data xQ (t) with receiver terminal output signals; then filtering secondary harmonic components by a low pass filter; afterwards, inputting two routes of signals into a general demodulation module of the vector mode under the circumferential coordinate in the CORDIC algorithm of the convergence domain; finally, selecting a square root operation value or an arc tangent operation value according to different modulation modes to obtain demodulation information by filtering or differencing. In the invention, various modulation modes are integrated in the same hardware, so that the method has the characteristics of good flexibility and outstanding versatile performance; and meanwhile, the complex arithmetic operation is transformed into the displacement and add operation, as a result, the method can greatly reduce the complexity of hardware realization and has good carrier frequency mismatching resistance property.

The invention discloses a free-form surface profile tolerance evaluation method based on CMM scanning measurement, and the method comprises the following steps: (1) obtaining an original measurement point data set of a measured piece through a scanning type three-coordinate measuring machine, calculating the deviation between points in the original measurement point data set and the surface of a design model of the measured piece, and drawing a deviation curve; (2) decomposing the deviation curve into three parts by utilizing wavelet decomposition, and extracting key points; (3) positioning the key points by using an SQP algorithm according to the mathematical model of the contour error of the free-form surface, and optimizing six parameters in the transformation matrix T to obtain a positioning key point set; And (4) calculating a deviation between the positioning key point and the surface of the tested piece design model by using a curved surface segmentation method, and obtaining acontour error according to the maximum deviation. According to the method, key points are extracted from a deviation curve through wavelet decomposition to simplify the calculation process, then the key points are positioned through the SQP algorithm, and the deviation between the positioning key points and the surface of a model is calculated through a curved surface segmentation method.

The invention discloses a hydrothermal economical scheduling method based on an improved quantum particle swarm algorithm, and the method comprises the steps: building a hydrothermal economical scheduling mathematic model comprising a cascade reservoir; setting system parameters, and generating an initial population; carrying out the constraint handling of the initial population through employing a constraint handling method, and enabling each particle in the initial population to meet the system constraint; calculating the adaptability value of each particle, and updating the individual optimal value of each particle and the global optimal value of all particles; calculating the positions of particles according to a position calculation formula of the improved quantum particle swarm algorithm; judging whether an end condition is met or not: stopping the iteration and outputting the optimal value if the end condition is met, or else, carrying out returning. The method can find a solution which is high in robustness, is high in convergence speed, and is better in adaptability value.

The invention discloses a hardware architecture and a decoding method for forward error correction (FEC) decoding in a DMB-T modem chip. The hardware architecture comprises 8 parallel FEC data processing modules, each of which comprises an LDPC data processing module and a BCH data processing module; an input data serial / parallel conversion module is used for receiving input data; the LDPC data processing module is used for realizing the iterative computation during LDPC decoding; an LDPC state controlling module is used for controlling computation enable of the LDPC data processing module and the controlling enable of an LDPC_SRAM memorizer; the BCH data processing module is used for realizing BCH verification and BCH correction; and a BCH state controlling module controls the computation enable of the BCH data processing module and the controlling enable of the BCH SRAM memorizer. The method can efficiently decrease the complexity of realizing the hardware of forward error correction, and improve the forward error correction performance. The invention is applicable to all systems needing LDPC encoding, in particular modem chips of DMB-T digital terrestrial broadcasting.

The invention provides a simple and effective multi-parameter optimization algorithm without interval limitation, in particular to an optimization design algorithm of a superconducting magnet external magnetism shielding coil, which is used for the design of the superconducting magnet external magnetism shielding coil. The invention changes all parameters related to the design of the superconducting magnet external magnetism shielding coil one by one according to the optimization results on the basis of an initial value, in addition, constraint conditions are taken into consideration during the result evaluation, and the coefficients are regulated and changed according to the condition whether the results are optimized or not, so the optimization of the design parameters is realized.

The invention provides an image recognition method and device, a storage medium and electronic equipment. The image recognition method comprises the steps of obtaining a first image and a second imageof a target area; wherein the acquisition conditions of the first image and the second image are different; determining a difference image based on the heterogeneity information of the first image and the second image; carrying out FCM calculation and secondary classification on the difference image to obtain an initial label field image; and identifying changes in the second image relative to the first image based on the difference image and the initial label field image. The edge continuity and the region integrity of the obtained difference image are good, the probability that when an ICMRF algorithm is used for calculating the difference image, iteration frequency is increased, and the difference image is prone to falling into the local optimal solution is reduced, the change of the second image compared with the first image can be accurately recognized, and then the accuracy of the change region is improved.

The invention relates to an image edge detecting algorism based on cell automata. It calculates the second derivative of image by simulating the physics diffusion model, and realizes the exact solution for the second derivative of image, and restrains pseudo-zero point by lengthen the iteration time, the operation steps are: (1) simulating the physics diffusion equation; (2) calculating the second derivative of image; (3) searching the pseudo-zero point and determining the edge. The invention overcomes the disadvantage that the second derivative is sensitive for noise, and improves greatly the anti-noise capability, improves the accuracy of solving the second derivative, and improves the accuracy of detecting edge.

The invention relates to a method for controlling and / or regulating a hydraulic system (1) of a transmission, wherein hydraulic oil is delivered by a pump (3), wherein a hydraulic network model (2) is used to control and / or regulate the pump (3). The hydraulic system (1) can thus be controlled or regulated efficiently, ie the network model (2) has at least one hydraulic resistor (RH1, RH2, RH3, RH4, RH5, RH6, RHS1, RHS3), wherein the calculation is performed via the resistor ( RH1 , RH2 , RH3 , RH4 , RH5 , RH6 , RHS1 , RHS3 ), wherein the pump ( 3 ) is controlled and / or regulated depending on the calculated volume flow.