292results about How to "Less restrictive" patented technology

The invention discloses a pixel driving chip and method and a pixel structure. By means of the pixel driving chip and method and the pixel structure, voltage compensation higher in controllability and better in flexibility is achieved. The pixel driving chip comprises a control module, an acquisition module, a calculation module, a storage module, a compensation module and an output module, wherein the control module is used for generating and outputting a voltage drive signal and controlling a driving transistor to be in the corresponding test state; the acquisition module is used for acquiring the source electrode test voltage of the driving transistor in the test state; the calculation module is used for calculating a voltage compensation parameter according to the source electrode test voltage, wherein the voltage compensation parameter is the voltage drop, corresponding to the power source voltage, of the threshold voltage of the driving transistor and/or a source electrode of the driving transistor; the storage module is used for storing the voltage compensation parameter; the compensation module is used for conducting voltage compensation on a source data signal by means of the stored voltage compensation parameter, so that a target data signal is obtained; the output module is used for outputting the target data signal to a grid electrode of the driving transistor. By means of the pixel driving chip and method and the pixel structure, flexibility and controllability of voltage compensation are improved.

The invention discloses a preparation method of a super-hydrophobic super-oleophobic polymer nano-coating. The polymer nano-coating is a film of a fluorine-containing acrylate-based polymer and has anano-structure. The preparation method is an initiating chemical vapor deposition method and comprises putting a base into a reaction chamber, vacuumizing the reaction chamber to a vacuum state, feeding a precursor comprising an initiator, a crosslinking agent and a monomer into the chamber, and making pressure, a heat source temperature, a distance between a heat source and a base, and a base temperature reach to preset values, wherein the initiator gas molecules in the chamber can crack at a high temperature into primary radicals and the primary radicals and a monomer adsorbed on the surfaceof the sample undergo an in-situ polymerization reaction to produce a polymer film. Through adjustment of conditions, the nano-topography of the nano-coating is adjusted. The super-hydrophobic super-oleophobic polymer nano-coating prepared through the preparation method has excellent super-hydrophobic super-oleophobic effects and can be used in the fields of electronic devices, medical equipment,bio-bionics, textiles and garments.

A smart watch capable of wireless charging includes a bezel which functions as a smart function operation circuit and a touchable display and a wrist band connected to the bezel. The bezel is separated from a power receiving coil.

The invention discloses a composite powered calcium sulfate sewage treatment agent and a method for preparing the same. The sewage treatment agent comprises the following materials in weight portion: 5 to 10 portions of tartaric acid, 3 to 5 portions of malic acid, 60 to 70 portions of calcium sulfate, 10 to 15 portions of magnesium carbonate, 10 to 20 positions of calcium carbonate, 10 to 20 portions of ferric chloride, 10 to 20 portions of calcium oxide and 2 to 3 portions of polyacrylamide. The method is to mix the materials. Compared with the prior art, the sewage treatment agent and the method have the advantages of multifunction, high efficiency, environment protection, quick sewage treatment speed, short treatment time, broad-spectrum and high-efficiency removal of various pollutants and harmful substances and strong adaptively to the sewage muddiness, wide pH value range and wide water temperature change of the sewage. The sewage treatment agent and the method have high alkalization degree, small corrosion, convenient production and no pollution in the production process, simple product package, convenient transportation and low composite cost.

The invention discloses a double-conjugation pumping modulating signal all-optical regeneration device based on an optical frequency comb. The all-optical regeneration device comprises a pumping laser device, the optical frequency comb, a photodecomposition multiplexer, a first coupler, erbium-doped optical fibers, a second coupler, a first section of HNLF, a wavelength selective switch, a second section of HNLF and a light bandpass filter. The device can be used for phase position regeneration of various degraded QPSL signals (including DQPSK) in a high-speed optical fiber communication network, so that influence on performance of an optical communication system by phase noise is reduced, the all-optical relay transmission distance is improved, and the error rate of a receiver is reduced. The invention further discloses a double-conjugation pumping modulating signal all-optical regeneration method based on the optical frequency comb. The double-conjugation pumping modulating signal all-optical regeneration device has the advantages of being concise in structure, stable in performance, easy to operate, remarkable in regeneration effect and the like.

The invention discloses a dimensional and planar object pose recognition method, which does not need the prior matching information of any object point and image point. In the method, the pose is calculated based on a plane point set, which is independent of the geometric shape of a planar object; the ambiguity problem under the calculation of the pose of the planar object is solved through the calibration of Tsai planar targets. As no additional diagnostic information is needed in the method, the conditional restrictions of computing the poses of dimensional and planar objects are reduced; the application scope of computing poses is widened; the method is very robust in blocked and confused environment under the circumstance of noise with different levels, which is very valuable in application.

The application relates to the field of landform segmentation and identification technologies, in particular, to a machine-vision-based land use planning method and system, and an electronic device. The method comprises: collecting landform image data of a target area; constructing a convolutional neural network model based on a regional convolution neural network branch and an object area full-convolution branch; inputting the collected landform image data into the convolutional neural network model based on a regional convolution neural network branch and an object area full-convolution branch, extracting landform features of all landform objects in the landform image data by the convolutional neural network model, carrying out landform object classification and landform region segmentation based on the landform features; and determining landform composition of the target area based on the landform object classification and landform region segmentation results and carrying out land use planning on the target area. Therefore, lots of manual outdoor surveying and mapping work is reduced; the restrictions of application scenes are reduced; the application range is extended; and therecognition accuracy is improved.

The invention provides a large-amplitude free vibration wind tunnel test device with three degrees of freedom, and belongs to the technical field of wind tunnel test devices for bridges. The large-amplitude free vibration wind tunnel test device which is a large-amplitude free vibration wind tunnel test device with three degrees of freedom coupling for bridges comprises a rigid test model, a rigidround bar, a rigid suspension arm, arc blocks with grooves, light high-strength strings, linear extension springs, fixed pulleys and a bearing. The large-amplitude free vibration wind tunnel test device has the advantages that the problem of incapability of guaranteeing the linear vertical rigidity, the linear torsional rigidity and the linear lateral rigidity due to down warping of lateral springs horizontally arranged in the traditional vibration test device with three degrees of freedom and lateral tilting of vertical springs under large-amplitude conditions can be effectively solved by the aid of the large-amplitude free vibration wind tunnel test device; the large-amplitude free vibration wind tunnel test device is simple and is convenient to mount, initial attack angles are easy toadjust, down warping and tilting of the springs are prevented in vibration procedures, accordingly, the linear rigidity and stable vibration frequencies of systems still can be guaranteed even in large-amplitude vibration procedures, and research on the three-dimensional nonlinear pneumatic characteristics of the bridges becomes possible under large-amplitude conditions.

The invention relates to a coal and rock identification method based on laser scanning. The reflectivity of the coal surface to scanning laser beams from different distances and the reflectivity of the rock surface to scanning laser beams from different distances are measured through the laser scanning technology respectively, and the three-dimensional morphology information of the surfaces of a coal sample and a rock sample scanned by lasers is acquired in real time; the changing relation between the distance and the reflectivity of laser scanning of standard coal and standard rock is established, and reflectivity correction coefficients corresponding to different surface three-dimensional morphologies of the standard coal and the standard rock from different distances are determined; a characteristic database for the distance and reflectivity of laser scanning corresponding to the standard coal and the standard rock with different surface three-dimensional morphologies is established, while on-site coal and rock objects are identified, the actually measured characteristic values of the surfaces of the coal and rock objects are compared with the coal and rock standard characteristic data measured earlier, and thus the coal and rock type can be identified fast in real time. The method has the advantages of being simple, high in calculation speed, automation degree and accuracy rate and suitable for identifying the coal and rock types in complex environments.

The invention relates to the technical field of harbor transportation management, in particular to a harbor anchored ship monitoring method and system and electronic equipment. The harbor anchored ship monitoring method comprises the steps of a, acquiring harbor anchored ship data through a camera shooting device; b, constructing a neural network model based on 'a full convolutional network + a regional target network branch'; c, inputting the harbor parked data into the neural network model based on 'the full convolutional network + the regional target network branch', wherein the neural network model based on 'the full convolutional network + the regional target network branch' conducts ship object regional segmenting and ship type classification according to the harbor anchored ship data, and the harbor anchored ship state is calculated according to the ship object regional segmenting result and the ship type classification result. By means of the harbor anchored ship monitoring method and system and the electronic equipment, the congesting state of a current harbor dock can be automatically and accurately evaluated, limiting conditions of an application scene are smaller in quantity and are more intelligent and more convenient, and the harbor anchored ship monitoring method and system are conveniently and widely applied.

The invention provides on a quadrotor unmanned aerial vehicle parameter identification method based on an extreme value search algorithm, relates to the field of system identification, and aims to solve the problem that a quadrotor unmanned aerial vehicle physical parameter is unknown or cannot be accurately measured. The method comprises the steps that a dynamic model of a quadrotor unmanned aerial vehicle is established through mechanism modeling, and relevant parameters needing to be identified are selected according to the established model; an objective function of the quadrotor unmannedaerial vehicle parameter identification is established based on the extreme value search algorithm; two sets of excitation signals are input into the model, gradient information of the unmanned aerialvehicle parameter identification objective function is extracted through the extreme value search algorithm, and is searched along a negative gradient direction until reaching near an extreme value,and a corresponding model parameter is obtained. The quadrotor unmanned aerial vehicle parameter identification method based on the extreme value search algorithm has the advantages that priori knowledge of un-dependent parameter is provided, different from an existing method for using a quadrotor unmanned aerial vehicle model to perform approximate linearization, an accurate unmanned aerial vehicle nonlinearity model parameter can be obtained; the closed-loop multi-parameter identification has fewer restricted conditions, and coupled input data can be identified.

The invention discloses a nonlinear system robust self-adaption tracking and controlling method based on unknown target traces. The nonlinear system robust self-adaption tracking and controlling method based on the unknown target traces comprises the following steps: step one, establishing a mathematic model of a multi-input and multi-output nonlinear system which has actuator faults; step two, establishing a model for estimating the ideal trace of the unknown target, wherein an estimated target trace obtained by the model is close to an ideal target trace; and step three, designing a robust self-adaption fault-tolerant controller. By the nonlinear system robust self-adaption tracking and controlling method based on unknown target traces, the estimated unknown target trace can be obtained, and is clear to the ideal target trace; 'virtual control gain' is subjected to matrix decomposition skillfully by the designed controller, so that limitation to conditions of a gain matrix in other control methods is greatly reduced; and finally, under the conditions that the system simultaneously has actuator faults, parameter uncertainty and external interferences and the tracked target trace is unknown, asymptotic tracked steady-state performance can still be obtained, and therefore, a closed-loop control system has robust self-adaption effect on an uncertain model and unknown interference.

The invention relates to a blue screen image matting method based on chroma overflowing processing. The blue screen image matting method is characterized by comprising the following specific steps: dividing a foreground image to be subjected image matting into a non-transparent region, a semi-transparent region and a full-transparent region, and displaying a region division result; calculating based on a sampled Alpha value; calculating the Alpha value of each point of the foreground image; loading a background image used for being synthesized with the foreground image; synthesizing the foreground image and the background image; calculating a RGB color value of each pixel point of the synthesized image; and carrying out the chroma overflowing processing on each pixel point of the synthesized image. According to the method, only simple input needs to be carried out before photographing, namely the image matting and the chroma overflowing processing can be automatically finished; with regard to the image with the more serious chroma overflowing phenomenon, the more satisfied effect can be obtained.

The invention discloses a method for determining initial prestress distribution of a cable-pole tensile structure, belonging to the field of architectural design and structural design of space structure. The method comprises the following steps of: a first step of giving the geometry and topology relation of the cable-pole tensile structure and calculating the balanced matrix of the cable-pole tensile structure; a second step of calculating the self-stress mode number of the cable-pole tensile structure; a third step of determining a target function in the optimizing method; a fourth step of randomly generating c groups of self-stress mode combination coefficients and thereby obtaining c initial prestress distributions, using the gradient method to optimize and thereby obtaining c groups of final initial prestress distributions, then comparing stiffness matrix quadratic form minimum characteristic roots corresponding to the c groups of final distributions of initial prestress and taking the data with the largest stiffness matrix quadratic form minimum characteristic root as the final result, wherein the value of c is integers greater than 100; and a fifth step of judging whether the cable-pole tensile structure with the selected initial prestress distribution satisfies the stability condition.