264results about How to "Improve results" patented technology

The present invention relates to a method for closed-loop controlling a processing operation of a workpiece, comprising the steps of: (a) recording a pixel image at an initial time point of an interaction zone by means of a camera, wherein the workpiece is processed using an actuator having an initial actuator value; (b) converting the pixel image into a pixel vector; (c) representing the pixel vector by a sum of predetermined pixel mappings each multiplied by a corresponding feature value; (d) classifying the set of feature values on the basis of learned feature values into at least two classes of a group of classes comprising a first class of a too high actuator value, a second class of a sufficient actuator value and a third class of a too low actuator value at the initial time point; (e) performing a control step for adapting the actuator value by minimizing the error e_t between a quality indicator y_e and a desired value; and (f) repeating the steps (a) to (e) for further time points to perform a closed-loop controlled processing operation.

A method of film deposition in a chemical vapor deposition (CVD) process includes (a) providing a model for CVD deposition of a film that defines a plurality of regions on a wafer and identifies one or more film properties for at least two regions of the wafer and at least one deposition model variable that correlates with the one or more film properties; (b) depositing a film onto a wafer using a first deposition recipe comprising at least one deposition recipe parameter that corresponds to the at least one deposition variable; (c) measuring a film property of at least one of the one or more film properties for the deposited film of step (b) for each of the at least two regions of the wafer and determining a film property; (d) calculating an updated deposition model based upon the film property of step (c) and the model of step (a); and (e) calculating an updated deposition recipe based upon the updated model of step (d) to maintain a target film property. The method can be used to provide feedback to a plurality of deposition chambers or to control film properties other than film thickness.

The invention provides an expression search engine which comprises a communication module and an expression index module, wherein the communication module is used for receiving expression labeling information containing expression pictures and corresponding labeling texts; and the expression index module is used for generating an expression index file according to the expression labeling information. Compared with the prior art, the invention has the advantages that the expression search engine and an expression management system are used for acquiring the labeling information of expressions and establishing an index, so that sets of relevant expressions can be quickly researched through the labeling information of the expressions while an expression research service is provided, and a research result list can be returned, thereby the quantity of recalled effective results and the researching accuracy are improved, and the qualities of returned expressions are improved; and in addition, the expression picture sets can be sequenced through relevant coefficients, thus a user can quickly find out interested pictures from the research result list, and thereby the using convenience of the user is improved, and the network flow is saved.

The invention discloses a substation load model parameter prediction method based on daily load curves. The substation load model parameter prediction method comprises the steps of: firstly, carrying out load prediction by utilizing substation and user daily load data provided by a power distribution network automation platform, so as to obtain daily load curves of a substation and various kinds of typical users in a to-be-predicted day; secondly, identifying typical user composition proportion according to the obtained daily load curves of the substation and various kinds of typical users in the to-be-predicted day, so as to obtain various kinds of typical user composition proportions of the substation in the to-be-predicted day; thirdly, forming proportional weight by utilizing typical equipment element parameters and typical equipment to obtain load model parameters of the typical users; finally, and combining the load model parameters of the typical users with the various kinds of typical user composition proportions to form proportional comprehensive weight, so as to obtain substation comprehensive load model parameters in the to-be-predicted day. The load model parameters predicted by adopting the substation load model parameter prediction method can satisfy accurate power grid simulating calculation requirements, can increase simulating calculation results and decision-making accuracy, and can improve economical efficiency and security of a power grid.

The present invention relates to a method for controlling a processing operation of a workpiece by means of a Reinforcement Learning (RL) agent unit, comprising the steps of: (a) observing an interaction zone in the workpiece by means of at least one radiation sensor to generate at least one sensor signal s_t, wherein the workpiece is processed using an actuator having an initial actuator value a_t; (b) determining a basis function Φ(s_t) from the set of sensor signals s_t; (c) determining a reward function r_t giving the probability of good results of the processing operation; (d) choosing a next actuator value a_t+1 on the basis of a policy π depending on the reward function r_t and the basis function Φ(s_t); and (e) repeating the steps (a) to (d) for further time points to perform a RL controlled processing operation.

An analyser comprises microscope, smear automatic placing device and control system, lightening system, computer, display, planar array CCD and data collection system, focusing device, automatic objective table, three-dimensional movable control system, electric-tuning light filter and its controller. The method includes a) program of collecting multioptical spectrum image and comprehensive processing program to carry on process from low power to high power for smear, and b) program of processing frow low power to high power to comprehensive and analysis for obtaining optical spectrum image.

The invention relates to a liquid fertilizer used for eggplant based on biogas slurry and its application method, which comprises the following steps by weight: 70-90 parts of biogas slurry, 10-15 parts of ammonium nitrate, 3-5 parts of dipotassium hydrogen phosphate, 5-8 parts of potassium chloride, 1-3 parts of calcium nitrate, 0.8-1.5 parts of ferrous sulphate, 0.5-0.8 parts of magnesium chloride, 0.2-0.5 parts of zinc sulfate, 0.5-1.5 parts of boric acid, 0.3-0.5 parts of manganese sulfate and 0.2-0.5 parts of ammonium molybdate. According to the invention, the biogas slurry which is obtained by anaerobic fermentation of livestock and poultry excrement and crop straw through a methane tank, the nutrient composition required by the growth of the eggplant can be scientifically added to prepare the liquid fertilizer. The liquid fertilizer has the advantages of comprehensive nutrition, sufficient raw material source, low cost and safe environmental protection. The liquid fertilizer is diluted by using clear water, and is taken as an eggplant foliar fertilizer for spraying or a nutrient solution for soilless culture, and can obviously improve the growth property of the eggplant, the incidence of disease is reduced, and the output is increased to more than 14%. The liquid fertilizer solves the problems of difficult application, difficult transportation and environmental pollution due to secondary discharge.

The invention discloses an ultrasonic laser composite dressing device for a superabrasive grinding wheel. The ultrasonic laser composite dressing device is mainly formed by an ultrasonic vibration dressing system, a laser transmitting system and a lathe bed. A laser transmitter transmits energy to a laser focusing head with a focusing head fixing and adjusting device through optical fibers, laser beams are focused during work to heat the rotating grinding wheel in front of a dressing point at proper energy density for proper heating time, an ultrasonic generator transmits an ultrasonic frequency signal to an ultrasonic transducer, the ultrasonic frequency signal is converted into mechanical vibration through the transducer to be transmitted to an amplitude-change pole, waves, generating longitudinal vibration, of the amplitude-change pole will be decomposed at the position, where a diamond slot is formed, of the small end, the vibration type involves longitudinal vibration and bending vibration, composite elliptical ultrasonic vibration is formed at the point of a diamond dressing stylus for dressing, and after the dressing stylus completely disengages from the grinding wheel, the dressing stylus will be moved to the position where dressing is started for the next time and starts dressing for the next round. In the dressing process, under the recombination action of ultrasonic vibration and laser auxiliary heating, removal of partial materials of the grinding wheel is changed from brittle removal into plastic removal, cutting force is reduced, abrasion to the dressing stylus is reduced, and the dressing efficiency and dressing result are improved.

The invention discloses a tsunami motion forecasting method based on multi-hierarchy interaction, which comprises the following steps: 1) generating hierarchical grids according to the position of an actual tsunami source, establishing corresponding relation between the grids and spherical coordinates, and establishing an interaction mechanism of the hierarchical grids; 2) carrying out sector and square combined dispersion on a tsunami motion equation, setting initial conditions and boundary conditions according to actual conditions, and solving a wave equation to compute flux change of tsunami motion; and 3) setting an initial sea level height field according to the height of a sea level, establishing an interaction mechanism of particles and the grids in the process of tsunami motion, establishing updating and iterating rules of the particles, and then, forecasting the height of tsunami through interaction of the particles and the grids. The method can quickly and vividly forecast the tsunami propagation phenomenon and solves the problems that the existing simulation method only pays attention to numerical simulation, the simulation result is not visual, the computing efficiency is too slow, and the like. The method has certain practical value in the fields of disaster prevention, tsunami early warning, virtual simulation etc.

Products for dying keratin fibers comprising, in a cosmetically acceptable carrier, at least one oxidation dye precursor and at least one alkanolamine, the product containing at least one zwitterionic surfactant according to formula (I)

The invention discloses a strawberry special-purpose fertilizer and its preparation method and use. The strawberry special-purpose fertilizer comprises: by weight, 23.5 to 25.1% of urea, 20.2 to 22.1% of ammonium sulfate, 7.8 to 8.2% of monoammonium phosphate, 35.3 to 36.5% of potassium sulfate, 1% of magnesium sulfate, 0.8 to 1.0% of copper sulfate, 0.9 to 1.0% of ferrous sulfate, 0.9% of zinc sulfate and 4.2 to 9.6% of peat. The preparation method comprises the following steps of weighing the raw materials according to the weight ratio, mixing, crushing, putting the crushed raw materials into a stirrer, and uniformly mixing to obtain the strawberry special-purpose fertilizer which is powder. The strawberry special-purpose fertilizer is developed according to strawberry nutritional characteristics in growth and according to special requirements on a soil environment and a fertilizer, has obvious effects of promoting good growth of strawberries, improving strawberry quality and reducing a cost, and provides an important technical support for healthy development of a strawberry industry.

The invention provides a multi-objective optimization sampling based hydrologic model uncertainty analysis method. The method specifically comprises the steps of 1) constructing a likelihood objective function by adopting a plurality of judgment standards; 2) clearly determining a value range and a prior distribution form of a hydrologic model parameter, and performing sampling by adopting an improved non-dominated sorting genetic algorithm epsilon-NSGAII; 3) analyzing the uncertainty of a hydrologic model; and 4) estimating a prediction uncertainty range of the hydrologic model. The method has the beneficial effects that multiple criteria are used as the judgment standards of a sampling effect, so that the sampling effect can be comprehensively reflected; the sampling is carried out by adopting the improved non-dominated sorting genetic algorithm epsilon-NSGAII, an elitist strategy is used, and non-dominated samples with low congestion degree are reserved only, so that the sampling efficiency, the parameter uncertainty and a flood prediction result can be effectively improved; and in flood control scheduling and risk control processes, the method can provide important reference information for decision makers.

The invention discloses a pulsating load temporary blocking fracture simulation device and method. The pulsating load temporary blocking fracture simulation device comprises displacement pumps, intermediate containers, a pulsating load generation device, a simulation wellbore, simulation cracks, a device for measuring the amount of a temporary blocking agent, devices for measuring the amount of atemporary blocking agent at the positions of the simulation cracks and a control center, wherein the displacement pumps are connected with the input ends of the intermediate containers, the output ends of the containers are connected with the input end of the pulsating load generation device, and the output end of the pulsating load generation device is connected with the simulation wellbore whichis connected with the simulation cracks; the simulation wellbore is further connected with the device for measuring the amount of the temporary blocking agent, the simulation cracks are connected with the devices for measuring the amount of the temporary blocking agent at the positions of the simulation cracks respectively, and the displacement pumps, the pulsating load generation device, the device for measuring the amount of the temporary blocking agent and the devices for measuring the amount of the temporary blocking agent at the positions of the simulation cracks are separately connectedwith the control center.

The invention discloses a building method for hybrid high-yield tea-oil trees and relates to the technical field of economic forest plantation. A hybrid row with interplanted hybrid plants is arranged at intervals of each two to five rows of tea-oil trees in the tea-oil tree forest; a hybrid plant is planted at intervals of each two to five tea-oil trees in the hybrid row; the rest is conducted as the same. A building process comprises steps of first, selecting a forest land, second, applying fertilizers to the land, third, tidying the forest land soil after fertilizer application, fourth, digging caves, fifth, transplanting and sixth, managing the forest, wherein the second step comprises primary fertilizer application, second fertilizer application and third time fertilizer application. The building method is characterized by improving pollination conditions and increasing tea-oil tree yield; and the method can be applied to novel tea-oil hybrid forest planted in barren hills suitable for forestation with gradient of 15 degrees.

The invention discloses a running-state monitoring method for an electric reactor in a high-voltage power capacitor device assembly, and belongs to the technical field of substation-device on-line monitoring. The running-state monitoring method is characterized by including the following steps that 1001, starting is carried out; 1002, a voltage signal of a substation-bus voltage transformer is obtained; 1003, the running voltage of a high-voltage parallel electric reactor is obtained; 1004, a current signal of a line-discharging-switch-cabinet current transformer is obtained; 1005, inductive reactance and the reactance rate of the electric reactor are obtained; 1006, the change rates of the inductive reactance and the reactance rate of the electric reactor are obtained; 1007, the step 1008 is carried out in the serious state, otherwise the step 1009 is carried out; 1008, a tripping order is emitted; 1009, the step 1010 is carried out in the abnormal state, otherwise the step 1011 is carried out; 1010, alarm is carried out; 1011, running continues to be carried out. On-line monitoring of the electric reactor is achieved, the defect that the reliability is poor when powering-off detection is carried out in the prior art is overcome, and the working safety of the electric reactor and the working safety of the high-voltage power capacitor device assembly are greatly improved.

By forming a protection layer on the back side of a substrate prior to any process sequences, which may deposit material or material residues on the back side, the respective back side uniformity may be significantly enhanced, thereby also increasing process efficiency of subsequent back side critical processes, such as lithography, back end of line processes and the like. In one illustrative embodiment, silicon carbide may be used as a material for forming a respective protection layer.

The invention discloses a fault diagnosis capability analysis method based on a hybrid diagnosis Bayesian network, and relates to the technical field of fault diagnosis methods. The method comprises the following steps: performing fault probability correlation correction: performing fault probability correlation correction on a component based on two criterion selection of whether reliability datais deficient and whether fault mode fault probability credibility is higher than a function fault probability; Establishing and reasoning a hybrid diagnosis Bayesian network model: selecting a construction mode of the hybrid diagnosis Bayesian network model based on a fault probability correlation correction result, and carrying out hybrid diagnosis Bayesian network model modeling and reasoning;Fault diagnostic capability indicator calculation. According to the method, the accuracy of fault diagnosis analysis modeling and the credibility of a testability index prediction result are improved.