31results about How to "Reduce the number of selections" patented technology

The invention discloses a human-computer interface for predicting user input in real time, which is used for the input of information and can slide a very short distance on a small area to quickly input the information. If the inside of an angle cell directed by directional information input by a user comprises more than one morpheme, the angle cell is automatically expanded and amplified, and each morpheme in the angle cell is separately placed into the new angle cell obtained by the amplification respectively; the angle cell can be progressively expanded in a plurality of layers so that thecombinations of the morphemes with longer units are conveniently input; the first morpheme inputs some a morpheme in the angle cell by means of expanding the angle cell; the other morphemes from the second morpheme are directly and continuously input into the angle cells in a scoring way; and if the morpheme combinations input into a plurality of angle cells can be determined as a few of the morpheme combinations, the morpheme combinations are directly displayed on a circle for the selections of users.

The embodiment of the invention discloses a method and a device for pushing information. One specific embodiment of the method comprises the following steps: for an information set in at least two information sets, respectively setting numerical values belonging to a first preset interval for each piece of information in the information set, so that at least two numerical values in the numerical values respectively corresponding to each piece of information in the information set are uniformly distributed in sub-intervals of the first preset interval; selecting information with the corresponding numerical value belonging to a second preset interval from an information total set composed of the at least two information sets to serve as candidate information, obtaining a candidate information set, and the second preset interval being a sub-interval of the first preset interval; and selecting information from the candidate information set as to-be-pushed information, and pushing the to-be-pushed information. According to the embodiment, flexible selection of information in different information sets is realized, and the selection frequency required for obtaining the candidate information set is reduced.

The invention discloses a method for reducing the common-mode voltage of an SVPWM motor. S1: Obtain the voltage under the static voltage coordinate system from the previous stage control link; S2: Apply the voltage under the static voltage coordinate system in step S1 to select the action vector voltage; S3 : select the inverse vector voltage; S4: recalculate the inverse vector voltage time according to the inverse vector voltage determined in step S3; S5: determine the switching point of the sector vector. In the present invention, the voltage opposite to the action vector in SVPWM is used to replace the zero vector, which is used to suppress the excessively high common-mode voltage of SVPWM. When the SVPWM is driving the motor, the excessively large common-mode voltage exists to break down the insulating oil film and cause a short circuit between shafts, even burning The hidden danger of bad motors, rapid common-mode voltage changes will also produce strong electromagnetic interference, affecting the stable operation of other nearby devices, reducing the size of the common-mode voltage can effectively prevent the motor from being damaged when the common-mode voltage is too high. The damage of the motor can prolong the life of the motor, improve the operating efficiency of the motor, and reduce the failure rate.

The invention relates to a farmland wireless self-organizing network topology density correlation path selecting and optimizing method. The method includes the steps that firstly, node energy is calculated, voting is carried out, and cluster heads are determined; secondly, nodes within a preset threshold value are received by the cluster heads and added, and clustering operation is carried out; thirdly, nodes corresponding to which clustering operation is not completed become intra-cluster sub-nodes according to a pre-established method; fourthly, energy advantage nodes are selected from the intra-cluster sub-nodes to serve as fake cluster heads; fifthly, reverse scattering and networking are carried out according to the cluster heads and the fake cluster heads; sixthly, environment information collecting and reporting are carried out on all nodes through a networking route; seventhly, whether a cluster head arrives at an energy approximating target or not is judged; eighthly, if a cluster head arrives at the energy approximating target, the next round is marked to carry out cluster head election, collection of the current round ends, and otherwise collection of the round ends. By means of the method, clustering efficiency is improved, cluster head selection frequency is lowered, and overall network energy efficiency is improved.

The invention discloses an image texture feature extraction method based on a nested triangular structure, relating to a brand new gray different triangle matrix (GDTM). By extracting the gray difference of the nested triangle vertexes of the image at different positions and angles, counting the frequency of the gray difference, and performing normalization calculation to obtain a triangle matrix. The GDTM can reflect the distribution features of the brightness change, can reflect the comprehensive information of the image in different directions and different interval brightness changes, and is the image brightness change second-order statistic characteristic based on a triangle geometry structure. The texture characteristic quantity calculated on the basis of the invention can visually and effectively represent the image texture condition, compared with the conventional texture statistic feature extraction method such as the grey level cooccurrence matrix, the image texture feature extraction method provided is less in calculated quantity, is resistant to illumination change and RST change, can improve the description effect of large textures, and is an effective image texture feature extraction method.

The invention discloses a design method for a pipeline passing through a reverse fault with a vibration peak value of more than 0.4 g, including: (1) selecting a reverse fault and a pipeline; (2) measuring the fault dip angle α of the reverse fault, and calculating the surface of the reverse fault respectively Vertical dislocation amount D CV and the surface level dislocation D CH ; (3) Select the intersection angle β between the pipeline and the fault according to H; (4) Use the formula ΔX=D CH cosβ calculates ΔX and uses the formula ΔY=D CH sinβ calculates ΔY; (5) use the formula Calculate ΔL c ; (6) Using the formula Calculate ΔL; (7) compare whether ΔL is less than or equal to ΔL c , yes, it is determined that the designed pipeline is suitable for installation in the reverse fault, otherwise, repeat steps (1), (5), (6) until ΔL is less than or equal to ΔL c . The invention has reasonable design method and reliable pipeline design, and can ensure that pipelines installed in reverse faults under different conditions have good seismic resistance.

The invention discloses a method and device for selecting a sampling clock and relates to the technical field of communication. The method and device for selecting the sampling clock reduces the number of selecting times of the sampling clock, improves data sampling accuracy and further improves the working efficiency of a system. The method for selecting the sampling clock comprises the steps of acquiring all current clock configuration values which can be used for sampling data accurately, adding adjusting values to first weights corresponding to all the stored clock configuration values respectively, generating second weights corresponding to the clock configuration values respectively, replacing the first weights to the second weights and carrying out storage, judging whether all the second weights corresponding to the clock configuration value respectively are identical or not, if the fact that not all the second weights corresponding to the clock configuration values respectively are identical is confirmed, selecting a maximum value from the second weights corresponding to the clock configuration values respectively, and determining the clock configuration value corresponding to the selected maximum value to be the current sampling clock. The method and device for selecting the sampling clock is mainly applied to the selecting process of the sampling clock.

The invention provides a self-adaption input method based on a chapter document. Compared with a conventional input method, the self-adaption input method has the advantage that a current knowledge domain of a user is automatically sensed based on a user local document. The self-adaption input method comprises the following steps: firstly, automatically establishing a fundamental data set by a system, establishing corresponding domain data sets in different knowledge domains, perceiving corresponding domains according to character information input by a user and automatically switching to a current domain data set by the system, increasing a specific gravity of the domain data set through adjusting a weight relationship between the domain data sets and the fundamental data set, realizing automatic perception and parameter adjustment among different knowledge domains; with the increase of input information, continuously updating the corresponding field data sets, and extracting high-frequency word string dynamic populating fundamental data set information in the field data sets. According to the self-adaption input method, the information input by the user is more intelligently known, the selection times is reduced, the accuracy of first-time selection is increased, and the rate of coincident code is remarkably reduced.

The application belongs to the technical field of aircraft manufacturing, and in particular relates to a method for selecting a measurement point for the shape of an aircraft wing frame, which includes the following steps: Step 1. Establish a spline model of the shape of the wing frame; Step 2. Method for measuring points on the spline Extract the vector direction; Step 3. Determine and supplement according to the spline fitting accuracy; Step 4. Find the set of measurement points on the skeleton shape surface. The method for selecting measurement points for the shape of an aircraft wing frame proposed by the invention can reduce the number of measurement points selected under the premise of ensuring fitting accuracy, thereby improving measurement efficiency. It can be extended and applied to other parts that have clearance value measurement requirements in the process of aircraft assembly.