8 results about "Guess value" patented technology

The embodiment of the invention provides a calculation method and device for boundary parameters of a supercritical fluid heat exchanger, computer equipment and a medium, and relates to the technical field of fluid mechanics and heat transfer science calculation.The method comprises the following steps that design parameters and target working conditions of the heat exchanger are obtained; calculating to obtain the single section length of each infinitesimal section; based on the initial inlet pressure guess value, according to the length of the single section and the pressure and the temperature of the infinitesimal section i, the pressure and the temperature of the infinitesimal section i + 1 are obtained through calculation, the difference value between the outlet calculation pressure and the target outlet pressure is calculated, and the difference value serves as a pressure error; if the pressure error is greater than the convergence tolerance, updating the inlet pressure guess value by adopting a numerical iteration method, and performing iteration again based on the inlet pressure guess value after iteration; otherwise, iteration is terminated, and the final inlet pressure value and the final outlet temperature value are output. According to the scheme, the calculation efficiency and accuracy of solving the inlet pressure and the outlet temperature of the supercritical fluid heat exchanger under the given target outlet pressure are improved.

The invention provides an initial guess value model calculation method for steady-state simulation calculation of the overall performance of an engine, and the method comprises the steps: extracting a specific performance parameter conversion table and a thermodynamic calculation independent variable parameter table according to a simulation calculation result of a full-envelope working condition; initial guess value calculation is carried out, and a target variable value is given; assigning a low-pressure conversion rotation speed initial value and calculating a target variable to obtain a calculated target variable value; calculating the target variable deviation of the given target variable value and the calculated target variable value, judging whether the target variable deviation meets the error precision or not, and calculating an initial guess value parameter according to the low-pressure conversion rotating speed initial value if the precision requirement is met; and if the precision requirement is not met, correcting the low-pressure conversion rotating speed to obtain a corrected low-pressure conversion rotating speed value, and repeating the steps until the low-pressure conversion rotating speed value with the target variable deviation meeting the error precision is obtained. And according to the low-voltage conversion rotating speed value, interpolating to obtain a specific performance parameter conversion table, and calculating an initial guess value parameter.

A method for generating a property representation of a substance is described. The method comprises: obtaining portions of one or more nuclear magnetic resonance (NMR) data of the substance, where each NMR data portion comprises one or more NMR datasets, each NMR dataset comprising intensity data and relaxation data; processing each NMR data portion into a multi-dimensional distribution of a fitting data set by performing a plurality of fits of a function, where the function includes at least 3 fitting parameters; and generating a characteristic representation of the substance from the fitting data set. The processing includes applying at least one initial guess value. Each set of fitting data comprises data embedded with at least one subset of fitting data comprising an apparent longitudinal relaxation time (T1 *), an associated apparent transverse relaxation time (T2 *) and an associated intensity (M0), preferably said function being a function of a model representing the obtained NMR data portion.

The invention relates to a method for monitoring transient thermal boundary conditions of a membrane water wall, which comprises the following specific steps of: establishing a local linear heat transfer model by drawing up discrete points of convective heat transfer coefficients, and calculating a sensitivity coefficient; setting initial values of heat flow radiated towards the fire side and fluid temperature in the pipe; establishing a temperature prediction model; rolling optimization is adopted to obtain a thermal boundary condition compensation quantity component; a weighting coefficient is constructed based on the unexposed side heat insulation boundary condition deviation; weighting the comprehensive compensation amount and correcting a guess value to obtain a radiation heat flow and fluid temperature monitoring result; and meanwhile, discrete points are weighted to output a convective heat transfer coefficient. According to the method, the monitoring rate is remarkably increased, the hysteresis effect is reduced, the dynamic response is enhanced, nonlinear changes are accurately processed, and the engineering practicability is high.

The invention belongs to the field of information security, and relates to a side channel collision analysis method based on deep learning. The method comprises the following steps: firstly, collecting waveforms leaked when a password device encrypts a random plaintext, positioning operation fragments related to keys in the waveforms, grouping the keys according to corresponding parts, and normalizing the length; waveform fragments corresponding to different partial keys are spliced end to end to form'partial waves', and corresponding plaintext fragment XOR results are used as labels to construct a training data set. And training the data set by using the convolutional neural network, and recovering the XOR relationship among partial keys by recording the tag corresponding to the highest recall rate. And repeating the above steps to obtain the XOR relationship of all the partial keys, randomly selecting a possible value of one partial key, calculating a complete key guess value, and carrying out encryption verification to determine a real key. According to the method, the features are directly extracted from the original waveform, manual sample screening or complex preprocessing is not needed, the anti-noise capability is high, and the implementation complexity of side channel analysis is remarkably reduced.

This invention relates to a method for real-time torso position estimation in a gun-holding posture based on gradient descent learning, belonging to the field of computer technology. The method includes: acquiring and preprocessing inertial measurement data from the firearm; fusing angular velocity and acceleration data to calculate the absolute posture of the firearm; adjusting the initial guess value for the current frame based on the continuity characteristics of human motion; setting the torso position as the variable to be optimized; calling the human skeleton and firearm model; and transforming the coordinates layer by layer through a homogeneous transformation matrix to obtain the predicted position and posture; constructing a cost function with dynamic weights; iteratively adjusting the torso position parameters using a gradient descent algorithm until the total cost falls within a preset threshold range; outputting the optimal torso position for the current frame and passing it to the next frame as the initial value, combined with motion trend correction. This method achieves accurate and real-time estimation of the torso position in a gun-holding posture, adapting to individual differences and dynamic movements of different users, and improving the synchronization and naturalness of virtual character postures and real movements.

The invention provides a biomass combined heat and power generation water balance method, a processor, a medium and a product. The method is used for solving the technical problems that in the prior art, a water balance calculation method is low in efficiency, poor in automation degree, difficult to process complex circulation dependence and high in integration cost. The invention provides a biomass combined heat and power generation water balance method which is used for calculating water balance in a combined heat and power generation system and comprises the following steps that a set of system parameters of the combined heat and power generation system are received, and the system parameters at least comprise a main steam demand value and a value of a first loss rate associated with a target flow variable; setting an initial guess value for the target flow variable; and iteratively executing a recursive calculation process, and calculating one or more additional flow variables of the system based on the final convergence value and the system parameters to complete the water balance calculation.

According to the functional gradient concrete interface layer chloride ion diffusion coefficient inversion method and device, a functional gradient concrete chloride ion diffusion physical model is constructed, chloride ion diffusion coefficients of an external hydrophobic layer and an internal structure layer and an inversion target calibration value are initialized, and a foundation is laid for the inversion process. Then, setting an initial search space and error tolerance of an interface layer chloride ion diffusion coefficient as convergence conditions, adopting a numerical search algorithm to calculate an intermediate value of the search space as a guess value, performing erosion diffusion simulation based on the value, and judging convergence through error comparison; and if not, iteratively adjusting the search space and the guess value until an error requirement is met, and then outputting an inversion result. According to the method, accurate and efficient inversion of the diffusion coefficient of the chloride ions of the interface layer is realized, the difficulty of direct measurement is overcome, the accuracy and the reliability of determination of the diffusion coefficient of the chloride ions of the concrete interface layer are remarkably improved, and meanwhile, the experiment cost and the time overhead are reduced.