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

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 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 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 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.