11results about How to "Improve traversal" patented technology

The invention discloses a large model assistant dynamic output rectification method and system in a network target range. The method comprises the following steps: receiving a character string output by a large model, and adding the character string into a cache list; when the length of the character string in the cache list reaches a preset threshold value, searching a user-defined tag in the current cache list, when the state of the hit starting tag is true, searching an ending tag, and otherwise, searching the starting tag; according to a tag hit result, generating a value returned by tag searching, and updating the cache list; setting a rendering state of the browser according to the current hit start label state; if the tag hit result is true, turning over a hit start tag state; finally returning a tuple containing a value to be displayed and a corresponding rendering state aiming at each time of inputting a character string; and continuously receiving the output content of the large model and dynamically displaying the output content. The output content of the large model can be rectified in real time, and the user experience is improved.

This invention discloses an energy-saving method and system based on data sensing, belonging to the field of energy-saving optimization technology. The method includes: using a sensor array to collect raw multi-source sensor data, performing data preprocessing and feature extraction to generate room occupancy status and a state vector; based on the room occupancy status, inputting the state vector into a macroscopic decision-making agent constructed based on a reinforcement learning algorithm to generate an optimal dynamic weight coefficient vector; based on the optimal dynamic weight coefficient vector, using an improved Hippo optimization algorithm to solve a multi-objective optimization function to generate an optimal equipment control parameter vector; executing the optimal equipment control parameter vector, returning to the sensor data acquisition step, calculating the immediate reward value after the decision, and updating the macroscopic decision-making agent using the corresponding state transition data. This invention solves the problems of poor flexibility, low optimization accuracy, and difficulty in balancing multiple objectives in existing energy-saving control strategies.

The present application discloses a method and system for temperature compensation of an optical fiber gyroscope, and relates to the field of temperature compensation. The method comprises: introducing chaotic disturbance and Gaussian variation mechanism into a sand cat swarm optimization algorithm to obtain an improved sand cat swarm optimization algorithm; optimizing a BP neural network using the improved sand cat swarm optimization algorithm to obtain a BP neural network optimization model; constructing a temperature error model based on the BP neural network optimization model; obtaining the temperature, temperature change rate and temperature-varying zero bias measurement value of an optical fiber gyroscope under variable temperature conditions; inputting the temperature and temperature change rate of the optical fiber gyroscope into a temperature error model to obtain a temperature error prediction value; and obtaining a temperature-compensated optical fiber gyroscope zero bias based on the temperature-varying zero bias measurement value and the temperature error prediction value. The present application can improve the accuracy of temperature compensation of an optical fiber gyroscope.

The present invention discloses an OTN network route search method, system and storage medium based on a graph database, which uses a starting OTN device node and a terminating OTN device node as user side, access side and core backbone network nodes respectively to search for paths of other core backbone network nodes according to set conditions, and respectively summarizes and forms corresponding route sets, and then performs path screening, group cutting and splicing, and intermediate path search and connection on the paths in the two route sets, so as to obtain a representative route search result set connecting the starting OTN device node and the terminating OTN device node. The present invention can realize OTN network entity relationship mapping route search based on a graph database, effectively reduce the resource consumption of graph database calculation during OTN network route search, and improve the efficiency, accuracy and traversal performance of OTN network route search based on a graph database.

The invention provides a mechanical arm continuous picking sequence optimization method under visual guidance, and relates to the field of intelligent picking equipment, and the method comprises the steps: S1, firstly, constructing a spatial heterogeneous visual positioning system, and carrying out the target recognition and positioning of tomato fruits; then, three-dimensional coordinates of tomato fruit centroids are obtained, and a coordinate set of the tomatoes capable of being picked is obtained; s2, determining an objective function of an optimal path for the space traveling salesman problem, and performing optimization through an improved sparrow algorithm; and S3, starting a picking mechanical arm to realize sequential harvesting. According to the method, the optimal picking sequence of the tomato fruits can be effectively obtained, the purposes of reducing the length of the motion path of the mechanical arm and prolonging the response time are achieved, and therefore continuous picking of dwarf and close planting type fruit and vegetable crops with high efficiency, high precision, high success rate, low cost and low time consumption is achieved.

The application discloses a kind of multi-objective sled dog protection optimization method and system based on myxomycete dynamic weight, it is related to power distribution network relay protection technical field, including: obtaining fault current to establish action response characteristic model and sensitivity index, construct anti-time limit overcurrent protection double-objective optimization function;Global optimization is carried out using improved multi-objective sled dog algorithm, population is initialized by Piecewise chaotic mapping, dynamic weight is adaptively distributed by introducing myxomycete algorithm in local search stage, and individual position is updated in combination with local difference disturbance strategy;The solution set is objectively and comprehensively evaluated using entropy weight TOPSIS strategy and the optimal compromise setting value is output.The optimization method effectively resolves the conflict that traditional protection is difficult to consider both speed and sensitivity, and effectively guarantees the safe and reliable operation of the distribution network with distributed power supply.

The present invention discloses an automatic test circuit for a variable bit width memory in a programmable logic, including an address data generator, a bit width selector and a variable bit width comparator; the address data generator is used to automatically generate a 15-bit sequence that can automatically flip address signals and data, write enable signals, and transmit them to the bit width selector; after the bit width selector receives the signal from the address data generator, it converts the received signal according to the bit width selection situation, and transmits the converted signal to each memory to be tested; the variable bit width comparator is used to receive the output data signal from the memory to be tested, convert the signal according to the selected bit width, and compare the converted signal, and output the result after obtaining the test result. The present invention can use less circuit structures to realize automatic full traversal test of programmable logic embedded memory, and can select a suitable bit width for testing according to the memory width, and has high test efficiency and flexibility.

The application discloses a ship cross section structure optimization method based on an improved bee colony algorithm. First, the discrete structure model is converted into a continuous optimization model based on a component library index, thereby laying a foundation for application of the bee colony algorithm. Secondly, in order to solve the latitude explosion caused by high-dimensional optimization, a uniformized Logistic mapping is designed for component section size initialization, so as to improve the randomness and ergodicity of the decision space. Since the bee colony algorithm has the problem of being good at exploration but poor at exploitation, the individual goodness and algorithm degree are considered, and the dynamic leading bee search and follower following strategy are respectively reconstructed, so as to balance the search ability of the algorithm and enhance the optimization quality. Finally, based on the section modulus sensitivity analysis, the continuous value obtained through iteration is normalized, so as to meet the actual engineering requirements. The method can adaptively adjust the global search and local search tendency of each individual, improves the efficiency and result precision of the ship structure optimization, and has practical value.

The invention discloses a fiber-optic gyroscope temperature compensation method and system, and relates to the field of temperature compensation, and the method comprises the following steps: introducing chaotic disturbance and Gaussian mutation mechanisms into a salmons swarm optimization algorithm to obtain an improved salmons swarm optimization algorithm; optimizing the BP neural network by adopting an improved salat swarm optimization algorithm to obtain a BP neural network optimization model; constructing a temperature error model based on the BP neural network optimization model; acquiring the temperature, the temperature change rate and the variable temperature zero offset measurement value of the fiber-optic gyroscope under the variable temperature condition; inputting the temperature and the temperature change rate of the fiber-optic gyroscope into a temperature error model to obtain a temperature error predicted value; and obtaining the zero offset of the fiber-optic gyroscope after temperature compensation based on the variable temperature zero offset measured value and the temperature error predicted value. The precision of temperature compensation of the fiber-optic gyroscope can be improved.

The present disclosure provides a pseudo-random number generator and a pseudo-random number generation method. The pseudo-random number generator comprises: a signal mapping circuit configured to map a plurality of input signals using a chaotic model to obtain a plurality of chaotic signals having a four-wing chaotic state; a signal sampling circuit electrically connected to the signal mapping circuit and configured to sample the plurality of chaotic signals to obtain a plurality of state variables corresponding to each chaotic signal in the plurality of chaotic signals; and a signal operation circuit electrically connected to the signal sampling circuit and configured to perform an integer operation on the plurality of state variables corresponding to each chaotic signal to obtain a plurality of groups of random numbers corresponding to the plurality of chaotic signals respectively, each group of random numbers in the plurality of groups of random numbers comprising a plurality of random numbers.

This invention discloses a multi-degree-of-freedom control system based on surface micro-electrical signals, comprising: an electromyography (EMG) signal acquisition module for acquiring surface EMG signals; a signal preprocessing module for preprocessing the acquired EMG signals; a feature extraction module for calculating the optimal parameters of multi-scale permutation entropy using a particle swarm optimization algorithm for the preprocessed signals; and based on the optimal parameters, performing multi-scale permutation entropy feature extraction on the preprocessed EMG signals to obtain feature data of the EMG signals; a signal classification module for classifying the EMG signals according to the feature dataset; and a feature matching module for matching the classified signals with preset actions. This invention solves the problem of limited application scenarios and efficiency of existing surface EMG signal-controlled robotic arms, which is caused by the low degree of freedom of the robotic arm.