118results about How to "Improve tuning efficiency" patented technology

The invention discloses a GAMMA curve adjusting method based on deep learning. The method comprises the steps of acquiring a second initial brightness value or/and a second initial chromatic value of a target GAMMA tie poing of an OLED module, and comparing the second initial brightness value or/and the second initial chromatic value with each initial brightness value or/and each first initial chromatic value, thereby obtaining the first initial brightness value or/and the first initial chromatic value with least error with the second initial brightness value or/and the second initial chromatic value; and setting the first initial brightness value or/and the first initial chromatic value with the least error as the RGB register configuration value of a target GAMMA tie point. According to the method and the device, through classification learning on the relation between the initial brightness value or/and the initial chromatic value and the RGB register configuration value, a high-precision data model can be supplied for quick adjustment for the GAMMA curve of the OLED module, thereby satisfying a requirement for high quality and high efficiency of an OLED module production line.

The invention discloses a user session recommendation method based on a deep neural network. The method comprises steps as follows: collecting shopping website log data, reconstructing commodity webpages browsed by user sessions, and generating a training set D', a cross validation set V' and a test set T'; extending all the sessions so as to generate a training set D, a cross validation set V and a test set T; setting neutral network parameters and generating a deep neutral network model; training a neutral network and performing parameter adjustment with an automatic parameter adjusting framework based on the genetic algorithm; calculating the correct rate of the model on the test set T; calculating a path compression ratio. With the adoption of the method, the recommendation accuracy can be significantly improved, the problem about difficulty in neutral network parameter adjustment is solved, the algorithm for automatically adjusting network related configuration is provided on the basis of the genetic algorithm, and the network parameter adjustment efficiency is greatly improved. The method is applicable to online shopping websites to recommend commodities which users may buy to the users while the online shopping websites interact with the users.

The invention relates to an aim detecting structure, which comprises an aim picture on the basic plate, and a frame with known width on the periphery of said picture. The invention can be used in COG (Chip-On-Glass) technique, that with the aim mark of chip, after COG pressing, judging the deflection amount via the relative position of aim mark and the frame; therefore, the invention can directly calculate the deflection after compressing chip to adjust the machine after COG process.

The invention discloses an urban traffic signal optimization method and an urban traffic signal optimization system. The method comprises the following steps of judging whether a current urban fragmented region is reasonable or not according to the signal period duration, the spatial position and the traffic flow of an intersection on a trunk; judging whether an urban fragmented region control strategy is reasonable or not when the current urban fragmented region is judged to be reasonable; if the urban fragmented region control strategy is judged to be reasonable, determining whether an optimized space exists in the coordination of road sections or not; if no optimized space exists in the coordination of road sections, judging whether the intersection needs to be optimized or not; if theintersection needs to be optimized, carrying out the signal control, the traffic organization and the traffic order optimization on the intersection. In this way, the traffic signal optimization is carried out on the whole city level. The traffic jam can be relieved. Meanwhile, the signal optimization can be performed specifically. The optimization efficiency of the optimal technical personnel isimproved, and the ordered development of signal optimization work is guaranteed.

The present invention discloses a method of adaptively switching sound effect output channels and a terminal, and belongs to the terminal technology field. The method is applied to the sound effect processing of the terminal, the terminal comprises a sound effect output channel adaptive switching module, and the method of adaptively switching the sound effect output channels by the sound effect output channel adaptive switching module comprises the steps of removing a first sound effect output channel which is a current sound effect output channel; obtaining a to-be-switched second sound effect output channel; switching the sound effect output channel from the first sound effect output channel to the second sound effect output channel; playing the sound source data via the second sound effect output channel. According to the method of adaptively switching the sound effect output channels and the terminal of the present invention, the purpose sound effect output channel can be switched to real-timely and accurately, the sound effect real-time response processing is guaranteed, and the tone tuning efficiency and the auditory experience of the terminal are improved.

The embodiment of the invention discloses a hyper-parameter determination method, device and equipment. The method comprises the steps of taking a value of each hyper-parameter of a classification model to form a preset number of numerical value combinations; taking a value of a hyper-parameter in the numerical value combination as a value of a hyper-parameter of a classification model, obtaininga plurality of evaluation indexes of the classification model, obtaining a corresponding weight according to a preset weight rule, and finally determining an optimal hyper-parameter of the classification model from the mapping relation by establishing a mapping relation between the numerical value combination and the weight.

The invention provides a novel multifunctional mobile phone middle frame polishing-grinding machine. A Y-axis movable platform is provided with a water spraying device and five sets of clamping devices, the water spraying device comprises a draining groove, a water spraying pipe and a draining pipe which are mounted on a Y-axis movable platform, a U-shaped arm is provided with six sets of polishing wheel sets, two third motors and a rotating shaft, and the six sets of polishing wheel sets are evenly mounted on the U-shaped arm through mounting seats; and the polishing wheel sets comprise polishing wheels and protective covers arranged on the polishing wheels, the rotating shaft is provided with driving gears, each mounting seat is provided with a driven gear, the driving gears are connected with the driven gears through belts, the polishing wheels are mounted on the two sides of the driven gears correspondingly, and the third motors can drive the six sets of polishing wheel sets to dosynchronous polishing movement. The novel multifunctional mobile phone middle frame polishing-grinding machine has the advantages that dry polishing and waxing and polishing can be conducted, meanwhile, wet polishing can also be conducted, polished products are good in consistency and high in machine adjusting efficiency, the quality is ensured, the procedure is easy to control, the structure is simple, and wax adding is even.

A steering control method and apparatus of a motor-driven power steering system, ma include setting, by a controller, a virtual steering model including a reaction force apparatus provided between a steering wheel and a rack gear; inducing, by the controller, a state equation for the virtual steering model, the state equation representing momentum of the steering wheel, the reaction force apparatus, and the rack gear as state variables of the state equation; determining, by the controller, target steering torque acting in the reaction force apparatus through numerical integration of the state equation; and feedback-controlling, by the controller, a steering motor control amount to the motor-driven power steering system to bring a steering torque of the motor-driven power steering system into agreement with the target steering torque.

The invention discloses a method for the computer aided design of a microwave filter. The method comprises the following steps of: 1) determining the size of a resonator according to the center frequency of the filter; 2) determining a group of standard delay amounts Gamma1, Gamma2, ..., GammaN according to the bandwidth and order N of the filter; 3) simulating a single-port network consisting ofan input port and a first-order resonator, and regulating the physical size of the first-order resonator to make the port delay characteristic of the network meets Gamma1; 4) adding a second-order resonator, and regulating the physical sizes of the first-order and second-order resonators to make the port delay of the network meets Gamma2; 5) by parity of reasoning, obtaining the physical sizes ofa half of resonators; and 6) mirroring the resonators with the regulated physical sizes to obtain the sizes of the other half of resonators to finish the design of the filter. In the method, the delay characteristic of the single-port filter is utilized, and the method has the advantages of small calculated amount and high efficiency as well as high center frequency and bandwidth setting accuracy, and is particularly suitable for the computer aided design (CAD) of the high-order microwave filter.

The embodiment of the invention discloses a hyper-parameter determination method and device, computer equipment and a storage medium. According to the embodiment of the invention, the method comprisesthe steps: obtaining a hyper-parameter group of at least one to-be-trained model, wherein the to-be-trained model belongs to a target model type, the hyper-parameter group comprises hyper-parametersof at least one dimension, and the hyper-parameters of each dimension indicate model structure features of the to-be-trained model under each dimension; distributing the target hyper-parameter group to a target hyper-parameter evaluation node in the distributed cluster; through the target hyper-parameter evaluation node, adopting the target hyper-parameter set to perform model training on a targetto-be-trained model, wherein the target to-be-trained model is a to-be-trained model corresponding to the target hyper-parameter set; performing model evaluation on the trained model to obtain a hyper-parameter evaluation result of each hyper-parameter group; based on the hyper-parameter evaluation result, selecting an optimal hyper-parameter group of the target model type from the hyper-parameter groups. According to the scheme, the hyper-parameters can be efficiently determined by improving the hyper-parameter tuning efficiency.

The embodiment of the invention discloses a model training method and device, an electronic device and a readable storage medium. The method comprises the steps of obtaining the first training data and the second training data, training a plurality of basic models based on the first training data, determining the model parameters of each basic model, and determining a basic model used in a combined model and the corresponding combination coefficients of the used basic model through a greedy algorithm based on the second training data. According to the technical scheme, the base model used in the combined model and the corresponding combination coefficient of the used base model can be automatically determined, the parameter adjusting efficiency in the model training process can be improved, and the accuracy and the objectivity of the model are improved.

The invention provides an axial fine adjustment and tensioning shaft, and belongs to the technical field of testing tools. The axial fine adjustment and tensioning shaft comprises a tensioning assembly, an axial fine adjustment assembly and a motor transmission shaft. The tensioning assembly comprises a tensioning hand wheel, a tensioning mandrel, a guide taper sleeve, a telescopic taper sleeve, a loosening cylinder, a tensioning mandrel front supporting seat and a tensioning mandrel rear supporting seat. The axial fine adjustment assembly comprises an axial fine adjustment hand wheel and a fine adjustment mandrel. The tensioning assembly is connected with the axial fine adjustment assembly. The fine adjustment assembly is connected with the motor transmission shaft. The tensioning mandrel and the fine adjustment mandrel are coaxially sleeved together and can synchronously generate axial displacement, the fine adjustment mandrel is connected with the axial fine adjustment hand wheel, the tensioning hand wheel is connected with the tensioning mandrel, and the loosening cylinder is connected with a spring pull ring arranged on the tensioning mandrel in a sleeving manner. The outer portion of the tensioning mandrel is sleeved with the guide taper sleeve, a loosening movable plate is arranged on the outer portion of the loosening barrel and is connected with the spring pull ring, and the telescopic taper sleeve is connected with the loosening cylinder. One end of the fine adjustment mandrel penetrates into and is connected with the motor transmission shaft.

A level bar with a hinting function comprises a bar body; at least one level bubble device is disposed on the bar body; at least one hollow part is disposed in the bar body; an induction device, a controller, and a sounding device; the controller is respectively connected with the induction device and the sounding device; the induction device comprises an independent sensor for detecting an angle of the bar body with the level line; the independent sensor does not contact the level bubble device; the controller receives the information of the angle of the bar body with the level line transmitted by the independent sensor; if the angle information is within a preset range, the sounding device is triggered to generate a sound. The invention not only can determine whether the angle of a surface to be detected with the level line is a preset angle by conventional level bubble centering, but also provides another set of independent determination tools, wherein the independent sensor is set to detect the angle of the bar body with the level line, and the controller determines whether the angle is within a preset range; the invention is convenient for use and high in precision.

The invention provides a galvanometer motor comprising a magnetic conductive machine shell, a coil assembly, a rotor assembly and a grating encoder, and one end of the magnetic conductive machine shell is provided with a unique complete installation face; the coil assembly comprises a wire and a framework, the framework is fixed in the magnetic conductive machine shell, and the wire is wound on the framework to form a coil; the rotor assembly penetrates through the framework in the height direction of the magnetic conductive machine shell and can swing relative to the framework. The grating encoder comprises a coded disc and a receiver, and the coded disc and the receiver are both located on the mounting surface. According to the technical scheme, the installation convenience of the grating encoder is improved.

The invention discloses an error correction method and system for arc corner machining equipment. The arc corner equipment comprises a milling cutter, and the error correction method of the arc cornermachining equipment comprises the steps: setting initial operation parameters according to a preset machining program, wherein the initial operation parameters comprise clamping parameters, size inspection standards, the cutting direction of the cutting cutter and the correction direction; acquiring predetermined detection data in product processing, wherein the predetermined detection data comprises the actual milling diameter of the milling cutter; analyzing the detection data, and calculating correction parameters according to a predetermined correction model; distributing the correction parameters to corresponding processing equipment; correcting the machining parameters of the corresponding machining equipment according to the correction parameters; according to the machining direction and the correction direction of the machining equipment and the correction parameters, judging the abnormality of the machining equipment, so the time and labor required for machine adjustment of the machining equipment are reduced, and the machine adjustment efficiency is improved.

The invention provides a screen printing plate alignment method for an elliptical printing machine and an alignment system. The alignment system is arranged on the elliptical printing machine and involves screen printing plates, visual assemblies, a miniature industrial personal computer, a display, a position adjusting assembly, bedplates and a cross beam. The alignment system in the scheme adopts a modular design, is compact in structure, saves space, is small in size, and can be directly arranged on the basis of an original elliptical machine; due to the fact that the screen printing plate position alignment system operates together with the other bedplates, each elliptical printing machine only needs to be provided with one screen printing plate position alignment system (except the screen printing plates), and the manufacturing cost of the whole device is greatly reduced; and device data parameters are completely quantified, so that common employees can be qualified for operation through simple training, and requirements on operators are reduced.

The invention provides a piano rhythm calibration apparatus based on a chord vibration signal and an application method, which can increase the toning efficiency of a piano and improve the quality ofthe piano. The piano rhythm calibration apparatus comprises two calibration supports and a signal acquisition apparatus, wherein a ball screw is arranged between the two calibration supports, the ballscrew is provided with a nut pair I and a nut pair II, a movable supporting plate I is arranged outside the nut pair I, a movable supporting plate II is arranged outside the nut pair II, the movablesupporting plate I is provided with a lower pressing plate, the movable supporting plate II is provided with a traction plate, the lower pressing plate is connected with the traction plate by virtue of a traction wire, and the lower part of the lower pressing plate is provided with a lower pressing block. The piano rhythm calibration apparatus is provided with the lower pressing block, piano keysare pressed by the lower pressing block to vibrate chord, and the lower pressing block is returned after pressing the piano keys, so that the consistence of the pressing force at every time can be ensured.

The invention relates to a data processing method and device, computer equipment and a storage medium and relates to the technical field of computers, according to the embodiment of the invention, thesample data can be automatically acquired from the database; the parameter adjustment step and the model training step are executed, and the trained model can be used for executing the data processing step, so that on one hand, the automation of the data processing process is realized, the labor cost is reduced, the data processing efficiency is improved, personal errors are avoided, and the dataprocessing accuracy is improved; another aspect, exploring through an initial value, an exploring direction, a step length and the like of the hyper-parameter; determining and obtaining a target candidate value in an explored target range, and taking the target candidate value as an initial value to continue exploring; the method is advantaged in that the hyper-parameter exploration range is expanded, the process of searching the optimal hyper-parameter exploration direction is accelerated, a condition that the optimal hyper-parameter cannot be found because of improper exploration boundary setting is avoided, parameter adjustment accuracy and efficiency are improved, and integral data processing accuracy and efficiency are improved.