31 results about "Glowworm" patented technology

The invention provides a backlight adjustment method and a backlight adjustment circuit. In the low gray level, a PWM signal generated by a PWM signal generating circuit controls a backlight drive circuit to adjust a first LED lamp string and a second LED lamp string to give out light alternately. Compared with the prior art, the method and the circuit provided by the invention has the advantages that only one LED lamp string gives out light at the same moment, therefore, the power dissipation of a backlight module can be reduced, and the electric quantity can be saved; meanwhile, due to the vision persistence effect of the eyes, when the first LED lamp string and the second LED lamp string give out light alternately, the phenomenon that one part of the backlight area is bright and the other part of the backlight area is dark is avoided, the glowworm effect is avoided, and the display quality is promoted.

The invention relates to an antenna array spare construction method based on a quantum glowworm search mechanism. The antenna array spare construction method comprises the following steps: establishing an antenna spare array model, and determining a key parameter, which corresponds to the quantum glowworm search mechanism, of the antenna spare array model; substituting a quantum glowworm position into a fitness function to obtain a fitness value of the quantum glowworm position, and confirming a local optimal position and a global optimal position in a glowworm group; updating the fluorescein value and the learning neighborhood of each quantum glowworm; updating a quantum glowworm quantum position and the quantum glowworm position; updating the dynamic decision domain radius of the quantum glowworm; calculating the fitness value under a new quantum glowworm position, and confirming the local optimal position and the global optimal position in a quantum glowworm group again; and if a maximum iteration is achieved, outputting the global optimal position, and mapping to obtain a spare antenna array form.

The invention relates to fireworks powder, and particularly relates to fireworks powder with a twinkling effect. Novel fireworks glowworm powder mainly comprises 60-70 parts of black powder, 5-10 parts of sulfur, 3-10 parts of barium nitrate, 3-10 parts of barium carbonate, 5-15 parts of fine aluminum dross, 3-10 parts of copper oxide and 5-10 parts of glutinous rice flour in parts by weight. Compared with the prior art, the fireworks glowworm powder has the advantages that 1. when the glowworm powder burns, a light yellow twinkling effect is generated; and 2. twinkling flower patterns are tiny, and the twinkling effect is intense.

The invention discloses a circuit breaker reliability evaluation method based on a glowworm optimization algorithm. The circuit breaker reliability evaluation method comprises the following steps: determining a main fault mode of the circuit breaker; establishing a circuit breaker fault tree; establishing a fuzzy judgment matrix between the fault factors of the circuit breaker; converting a fuzzy consistency qualification used for solving each fault factor weight into a constrained optimization problem; according to an established constraint programming problem equation, importing the glowworm optimization algorithm to solve the severity weight of each fault factor; and establishing a circuit breaker reliability evaluation model to carry out reliability evaluation and obtain a circuit breaker reliability evaluation result. When the fuzzy judgment matrixes are inconsistent, circuit breaker reliability evaluation can be carried out, and the practicability of the method is improved. In addition, when the circuit breaker reliability evaluation method calculates the severity weight of each fault factor, the glowworm optimization algorithm is introduced. Compared with the traditional calculation method, the circuit breaker reliability evaluation method has the advantages of being high in convergence precision and high in convergence speed and can more simply and quickly realize circuit breaker reliability evaluation.

The invention discloses a 3D-handwritten-recognition SVM classifier nuclear-parameter selection method which improves a position update formula of glowworms in a GSO (Glowworm Swarm Optimization) algorithm and introduces lightness features in an individual movement process so that accuracy and convergence of the algorithm are improved significantly and thus an optimal SVM nuclear function parameter is selected and a classifier excellent in performance is constructed. Through use of the method, a better 3D-handwritten-recognition system can be constructed and the identification rate of the 3D-handwritten-recognition system is improved effectively.

The invention relates to the technical field of photovoltaic grid connected, and discloses a glowworm improved algorithm for photovoltaic maximum power point tracing under partial shadow. The algorithm is characterized by comprising the following steps that a mathematical model under the circumstance of photovoltaic array shadow is constructed, and a mathematical expression of the outputting powerP of a photovoltaic array is obtained; a fluorescein value represents the outputting power P of the photovoltaic array, the position of a glowworm represents the outputting voltage U of the photovoltaic array, through the specific values of difference values of the optimal target values and the worst function values when the iteration is t and t-1, the variable step size factor s (t) is defined,and the variable step size factor is utilized to replace the fixed step size of a traditional glowworm algorithm; Matlab simulation software is utilized to compare convergence conditions of the improved variable step size glowworm algorithm and the traditional fixed step size glowworm algorithm, and the convergence speed of the initial iteration and the stability of the late iteration can be effectively improved.

The invention provides a route planning method based on a multi-target glowworm swarm algorithm and belongs to the technical field of route planning. The method includes: modeling a route planning problem, initializing the multi-target glowworm swarm algorithm, updating the glowworm position, determining a non-inferior solution set, updating an external archived file, judging whether a preset maximum iteration number is achieved or not, and determining a Pareto optimal route. The basic glowworm swarm algorithm is improved based on the Pareto dominant conception, and global searching and parallel computing capacities of the glowworm swarm algorithm are well used. Multiple route performance indexes are considered simultaneously during planning, a group of Pareto optimal solution sets can be obtained by planning once, and high flexibility is achieved. Further, the route panning method is different from traditional route planning methods for a single target and route planning methods of using a weighing method to convert multiple targets into the single target, and can better meet practical requirements of route planning.