89results about How to "The solution method is simple" patented technology

A preparation (10, 11,12,13) to be fixed to a natural tooth part or tooth, in particular for the replacement of a load-bearing tooth part, is for example a filling for a drilled-out tooth (1), a crown, bridge or prosthesis to be placed on a tooth stub, or a tooth pin to be fixed in a tooth root for fastening an artificial tooth, a bridge or a prosthesis. The preparation has surface regions which consist of a material with thermoplastic properties. The preparation (10, 11, 12,13) is designed in a manner such that it has oscillation properties with such low damping losses that for a liquefaction of the material with thermoplastic properties by way of oscillations there are local stress concentrations required, and in a manner such that such stress concentrations only occur in the region of the preparation surface. The preparation is positioned on a suitably prepared natural tooth part in a manner such that the material with the thermoplastic properties is in contact or may be brought into contact with the dentin surface and / or enamel surface. The preparation is then made to mechanically oscillate and is simultaneously pressed against the natural tooth part, whereby the material with the thermoplastic properties is at least partly liquefied and brought into intimate contact with the dentin or enamel surface in a manner such that after solidification it forms a positive fit and / or material fit connection. Teeth restored with such preparations have a high stability and a long life, which in particular is attributed to the fact that the thermoplastic material, in contrast to cements used for the same purpose, shrinks less and has the ability to relieve internal stress by creeping.

The invention provides a characteristic relay method for relative position and attitude based on multi-vision. The method comprises the following steps: step 1. calculating position coordinates of the observed and extracted target characteristic points under a tracking spacecraft coordinate system by virtue of stereoscopic vision three-dimensional reconstruction to finish relative position calculation; step 2. establishing a coordinate system at each moment by virtue of any three points in the observed four characteristic points, and calculating an attitude matrix of every two coordinate systems; and step 3. calculating the attitude of the target body coordinate system at the current moment relative to the tracking spacecraft coordinate system, namely finishing the relative attitude relay calculation of a non-cooperative target. According to the method disclosed by the invention, the calculation of the relative position and attitude of non-cooperative targets such as spacecraft and space debris can be finished.

The invention discloses a three-dimensional figure probe device and measuring method. The device comprises an illumination projecting module, a reference imaging module, a probe imaging module and a control processing module. The illumination projecting module is used for generating probe beams and reference beams, and projecting the probe beams to the surface of a sample to be detected. The reference imaging module comprises a reference plane and is used for collecting the reference beams projected to the reference plane so as to generate reference light intensity distribution signals. The probe imaging module is used for probe reflected light and diffraction light on the surface of the sample to be detected so as to generate probe light intensity distribution signals. The control processing module is used for carrying out the intensity correlation operation on the probe light intensity distribution signals and the reference light intensity distribution signals, and surface appearance parameters of the sample to be detected are obtained. By means of a traditional imaging probe mode, the zero-level reflected light and various levels of diffraction light of a silicon wafer to be detected are collected, space light filtering is not needed, and the light use efficiency is improved. The illumination of a large visual field is achieved, probe light spots can cover a plurality of surface appearances, and the detecting efficiency is improved.

The invention provides a finite-thrust driven spacecraft automatic-rendezvous trajectory planning method on the basis of convex optimization technology. The finite-thrust driven spacecraft automatic-rendezvous trajectory planning method includes building a mathematic model for describing relative motions of two spacecrafts, then executing an automatic-rendezvous trajectory planning algorithm, and finally considering the limitation of the finite thrust in automatic-rendezvous. According to the convex optimization technology, the problem about automatic-rendezvous trajectory planning is optimized and solved, and accordingly the global optimality is guaranteed. Besides, by an efficient solving method, the finite-thrust driven spacecraft automatic rendezvous trajectory planning method is a trajectory planning algorithm with high real-time performance.

The invention discloses segmented variable-coefficient iron loss model for fine analysis of loss of an alternating-current motor and belongs to the technical field of loss calculation and analysis of the alternating-current motor. The model is shown in the specification. According to the model, loss data of silicon steel sheets are measured actually at a series of frequencies and in magnetic density and analyzed in combination of a classical binomial model, eddy-current loss increase caused by magnetic circuit saturation and magnetic hysteresis loss increase caused by harmonic magnetic fields are considered, four additional loss coefficients changing with the magnetic density and the frequencies in a segmented manner are introduced in an eddy-current item and a magnetic hysteresis loss item, and accordingly, the model is established. The main coefficients in the model change with magnetic density amplitudes and frequencies, besides, magnetic hysteresis loss and eddy-current loss caused by fundamental waves and harmonic magnetic fields can be accurately separated by means of the model, and the fine analysis of the iron loss can be realized.

A display panel includes a substrate, a partition formed on the substrate and defining a plurality of openings, a plurality of color filters formed in the openings and having a substantially uniform thickness within each respective opening, and a spacer formed on the partition. The color filters and the spacer are formed through inkjet printing. The color filters have the substantially uniform thickness by the partition having a height which is greater than the thickness of the color filters during the inkjet printing. The height of the partition may be in a range of about 1.5 to about 2 times the thickness of the color filter.

The invention discloses a geomagnetic field prediction method based on a long-short term memory (LSTM) model recurrent neural network. Compared with a spherical harmonic analysis method, the geomagnetic field prediction method has the advantages of simple structure, few parameters to be solved, and simple solving method. The recurrent neural network adopts a long-short term memory model structure,the processing of the temporal relationship of geomagnetic field data is enhanced, and the rule of the variation of the geomagnetic field data over time can be effectively predicted. The complicatedprocessing of the original geomagnetic field data is not required, the geomagnetic field data do not need to be pre-processed spectrally and statistically, and the processing of the data is facilitated. For periodic characteristics of the geomagnetic field data, the length of time of training samples and test samples is selected, on this basis, the structure of the recurrent neural network is designed, so that the neural network can effectively analyze the periodic characteristics of the geomagnetic field, and the prediction accuracy of the geomagnetic field is greatly improved.

The invention discloses a model for calculating the iron loss of a switched reluctance motor, and belongs to the technical field of the calculation and analysis of the iron loss of the switched reluctance motor. The model is a variable coefficient binomial calculation model; according to the model, by conducting the data analysis of the actually measured loss value of a ferromagnetic material under the conditions of different frequency and magnetic field intensity, the laws of a few key parameters such as hysteresis loss coefficient and eddy current loss coefficient varying with the magnetic induction intensity and frequency can be obtained, thus the iron loss of the ferromagnetic material at the time of sinusoidal alternating magnetization can be calculated. According to the magnetic induction intensity waveform non-sinusoidal special situation in the switched reluctance motor, the finite element method calculation is applied to obtain the waveforms of the tangential direction and radial direction magnetic induction intensity, changing with time, of each part of a motor, the Fourier decomposition is applied to decompose an non-sinusoidal magnetic induction intensity waveform into a list of sinusoidal waveforms, the variable coefficient binomial calculation model is adopted to calculate the iron loss of harmonic waves in each time, then the accumulation and summation is conducted so as to obtain a harmonic wave unit quality iron loss model after accumulating for (i)n( / i) times.

The invention discloses a collaborative filtering method based on integration of fuzzy weight similarity measurement and clustering. According to a user-item scoring matrix R<m x n>, three different similarity matrixes FCOS, FCOR and FADJ of users are respectively calculated by using fcos, fcor and fadj, and then according to a k-means algorithm and a cluster number kcluster, all users are clustered. A nearest neighbor set s (Ui) of users is determined and then scores are calculated and predicted by using r<i,c>; according to the above-mentioned strategy, the steps are repeated till scores of all user are predicated. By adopting the fuzzy similarity clustering IBCF\UBCF of the invention, the searching accuracy of the neighbor set s (Ui) is obviously improved; by fuzzifying score values and score deviations, the evaluation is closer to the real evaluation of the users to items; by adding fuzzy weight wc during similarity calculation, the similarity between the users tends to be more accurate and thus the performance of a recommender system is improved.

The invention provides a planar three-degrees-of-freedom space robot inverse kinematics solution method. First, a general planar three-degrees-of-freedom space robot is equivalent to a ground fixed base robot using a virtual mechanical arm method; then, the self-motion characteristics of the planar three-degrees-of-freedom space robot are analyzed, and the geometric relational expression between joint angles of the equivalent space robot is deduced under the condition that the initial base attitude angle and the end manipulator position are given; and finally, all combinations composed of three joint angles, namely, all kinematics inverse solutions, are obtained. Through the method, all kinematics inverse solutions can be calculated out simply and efficiently under the condition that the position of an end manipulator of a planar three-degrees-of-freedom redundant space robot is given, and thus, robot path planning problems related to obstacle avoidance, singular avoidance, joint limit avoidance and other optimization indexes can be studied.

The invention relates to the field of the gait optimization control for a biped robot and particularly relates to a model predictive control-based trust region-SQP method for the gait optimization of the biped robot. Based on the nonlinear model predictive control technology, the trust region-SQP method is adopted to realize the superlinear convergence rate and the global convergence fast-solving optimal control, so that the optimal movement gait of the biped robot is realized. Since the nature of an objective function is poor, a significant amount of time is spent in determining a searching step length. Therefore, the real-time performance is invalid. According to the technical scheme of the invention, based on the nonlinear model predictive control technology, a robot dynamics model is converted into a non-linear optimization model, and the trust region-SQP method having fast convergence characteristics is provided. In this way, the optimal control, which realizes the real-time performance, is solved. The method overcomes the defect that the real-time performance cannot be realized during the solving process of a traditional controller. The method can be applied to multi-degree-of-freedom biped robots and provides references for the real-time control solutions of multi-degree-of-freedom biped robots.

A dynamic unlocking method and an electronic apparatus using the same method are proposed. The method includes the following steps: recording an unlocking password combination including at least one unlocking password, where each unlocking password is characterized by a touch operation initiating from a specific icon and sliding toward a specific direction along a specific path by a specific distance; displaying an unlocking screen including a plurality of predetermined icons, where the predetermined icons are randomly arranged on the specific path; receiving at least one unlocking input performed on the predetermined icons; when the at least one received unlocking input completely matches the unlocking password combination, unlocking the electronic apparatus.

The invention discloses an oil-water relative permeability curve calculation method based on machine learning. The oil-water relative permeability curve calculation method comprises the following steps: establishing a model representing characteristics of an oil-water relative permeability curve; pretreating an oil-water relative permeability curve sample; training a sample and an inspection modelby adopting a neural network Turing machine; and predicting an oil-water relative permeability curve. The oil-water relative permeability curve is obtained by utilizing a machine learning calculationmethod, the speed is high, the cost is low, dynamic and static factors such as oil-water viscosity, porosity, permeability, a pore structure, mineral components, a sedimentary facies belt and displacement conditions are considered, the method conforms to actual mine field application, and a new idea is provided for research of the oil-water relative permeability curve.

The invention belongs to the technical field of image processing, provides a three-dimensional CT image segmentation method based on a multi-view separation convolutional neural network, and mainly relates to three-dimensional automatic segmentation of a skeleton in the CT image by using a novel convolutional neural network. The method aims to solve the problems that a neural network using three-dimensional convolution is too large in model, too high in running memory occupation amount and incapable of running on a small-video-memory-capacity display card or embedded device. Meanwhile, in order to improve the capability of the convolutional neural network for utilizing the three-dimensional space context information, a multi-view separation convolution module is introduced, the context information is extracted from the multi-view sub-images of a three-dimensional image by using a plurality of two-dimensional convolution, and the multi-level fusion is carried out, so that the extractionand fusion of the multi-view and the multi-scale context information are realized, and the segmentation precision of the skeleton in the three-dimensional CT image is improved. The average accuracy of the improved network structure is obviously improved, and the number of model parameters is obviously reduced.

A liquid crystal display according to an exemplary embodiment of the present invention includes a first insulating substrate, a first subpixel electrode on the first insulating substrate, an organic insulator on the first subpixel electrode and having a first contact hole, and a second subpixel electrode on the organic insulator, and connected to the first subpixel electrode through the first contact hole. Accordingly, one thin film transistor is disposed in each pixel thereby improving the aperture ratio of the liquid crystal display, and the same data signal is applied to the first and second subpixel electrodes through one thin film transistor such that side visibility may be increased through a simple driving method.

The invention provides an airplane automatic airdropped material guiding method for aiming at a movable object, wherein the method relates to the field of material airdropping by an airplane. A to-be-corrected angle deviation and a to-be-corrected distance deviation of a carrying airplane are obtained through a center-of-mass motion differential equation set. After the carrying airplane continuously perform correction of the angle deviation and the distance deviation, the carrying airplane drops the material, thereby finishing an airdropping task. The airplane automatic airdropped material guiding method is advantageous in that a relatively simple model and easy equation set resolving are realized; the airplane automatic airdropped material guiding method can be used for performing a dropping guiding task in various conditions of material airdropping by transporters, helicopter maritime rescue, etc.; a resolving method of the invention is suitable for various conditions and conditions of fixed target, movable target, windy environment and no-wind environment can be resolved through the resolving method. High adaptability and simple resolving method are realized. Convenient calculation through a simple iterative method is realized. An on-airplane computer can quickly calculate a result. Furthermore the airplane automatic airdropped material guiding method has relatively high precision.

A synaptic transistor based on a metal nano-sheet and a method thereof are provided. A self-assembled floating gate layer is formed. The floating gate layer prevents leakage of electric charges transmitted from a channel layer, and also temporarily stores the transmitted electric charge. Thus, the synaptic transistor may be used as an effective memory for storing.

The invention discloses a single-camera vision measurement method using a concentric circle target for measuring the position posture and rotating angle of an object. The purpose is to determine the center image point position and position posture of a concentric circle rapidly and accurately. The concentric circle target is fixed to the object to be measured in parallel with a rotating shaft, a digital camera is used for shooting the target surface, and an image processing method of sub-pixel precision is used for processing a picture to obtain an equation of two ovals of an image surface; a resolving method that the coefficient of the equation of the ovals is utilized for solving the posture of the concentric circle is created; two chords of the ovals are utilized for creating a resolving method for solving the center image point position of the circle; the auxiliary characteristic diameter of the concentric circle is utilized for creating a resolving method for solving the focal length J of the camera with the pixel being a unit; in the resolving process, calculation is easy, precise and rapid; a computer simulation experiment result shows that the resolving methods are correct and practicable; the method can be used for calibrating angular displacement sensors of ailerons, wing flaps, a diving rudder and a rudder on a plane at an airport.

In an npn-type HBT, each of an emitter layer and a collector layer is formed of AlGaN and a base layer is formed of GaN. The emitter layer is in contact with a nitrogen polarity surface of the base layer and the collector layer is in contact with a gallium polarity surface of the base layer. An electric charge is generated at each interface due to a spontaneous polarization and a piezo polarization generated in each of the layers. Because of the electric charge, an internal field is generated so as to accelerate electrons in the base layer.

The invention, which belongs to the technical field of motor detection, discloses a motor running detection system and detecting method for a new energy automobile. The detecting system comprises a solar power supply module, a power detecting module, a motor parameter detecting module, a main control module, a fault detection module, an energy compensation module, a warning module, a data storagemodule, and a display module. When the fault detection module detects a locked-rotor fault of a motor, a torque output of a motor controller is stopped timely, so that an IGBT driving module and a motor of the motor controller are protected safely and reliably; and the energy compensation module establish connection between user ravel information and a power supply requirement of a vehicle-mountedpower source and thus power supply is carried out timely by a reserve power supply under the condition of insufficient solar battery power during the full process of working of the vehicle, so that aproblem of sudden insufficient power supply of the vehicle under the condition of not carrying out determination by the user in advance is solved.

The invention provides a method for determining rotational angular velocity of the earth by utilizing a fiber-optic gyroscope. The method is used for determining the rotational angular velocity of the earth by utilizing a fiber-optic gyroscope with a three-axis orthogonal fiber-optic gyroscope. The method specifically comprises the following steps: installing an instrument, inputting an initial condition, determining the angular velocity value by the three-axis orthogonal fiber-optic gyroscope, and resolving the rotational angular velocity of the earth according to the formula shown in the description, namely, firstly obtaining the rotational angular velocity of the earth Omega Xe measured by the fiber-optic gyroscope X at a station point, and then similarly resolving the corresponding components of rotational angular velocity of the earth Omega Ye and Omega Ze by a fiber-optic gyroscope Y and a fiber-optic gyroscope Z, and finally resolving the vector sum of Omega Xe, Omega Ye and Omega Ze according to the formula is shown in the description, thus obtaining the final rotational angular velocity of the earth Omega e.

A method for simulating the coordinated operation production of multi-province power grids, the method includes the following steps: 1) calculating the independent operation condition production simulation operation mode of each province, and obtaining power exchange curve with an external power grid; 2) according to the production simulation calculation results, calculating the positive and negative regulation capacity that each province can provide to other provinces s under the condition that the starting mode of the thermal power unit is unchanged; 3) according to the power exchange demand and the positive and negative regulation ability of each province and region under the independent operation condition, adopting the quadratic programming model to solve the coordinated operation mode of multiple provinces and regions; 4) gradually increasing the transmission capacity of each province, repeatedly solving the multi-provincial coordination optimization model in the step 3), and calculating the coordinated operation mode of the multi-provincial power grid under different transmission capacity constraint of each provincial section. The method can be used to simulate the coordinated operation and production of multi-provincial power grids adapted to the dispatching mode of provinces in China. It is suitable for the dispatching mode arrangement of power grids in China and thedetermination of the power of provincial tie lines.

The invention discloses an optimization method for separating a target in a complex mixture by simulated moving bed chromatography. The optimization method comprises the following steps: firstly, determining interfering components of the target in an SMB separation system and imparting concentrations of the interfering components; then, establishing a single-column chromatography model; then establishing an SMB chromatography model in combination with a node model; finally, calculating with the SMB chromatography model, optimizing operation conditions for separating the target from the complex mixture. The optimization method provided by the invention only establishes the single-column chromatography model with an ideal chromatographic model of single-component adsorption isotherm for the target and the interfering components to solve a problem that numerous parameters cannot be measured, adopts difference scheme iteration to respectively solve the single-column chromatography model and the SMB chromatography model to realize advantages of simple dissolving method, good stability and relatively high accuracy, and only needs 2-5 experimental points to establish the SMB chromatography model which can guide the practice of SMB chromatographic separation of complex mixture.

PCT No. PCT / JP96 / 00148 Sec. 371 Date Sep. 30, 1997 Sec. 102(e) Date Sep. 30, 1997 PCT Filed Jan. 26, 1996 PCT Pub. No. WO96 / 23766 PCT Pub. Date Aug. 8, 1996The present invention is a process for producing an unsaturated nitrile such as acrylonitrile or methacrylonitrile by ammoxidation of an organic compound such as propylene, isobutene or tertiary butanol. The process comprises carrying out the ammoxidation such that the organic acid / unreacted ammonia ratio in an ammoxidation product gas is controlled to remain within the range from 0.8 to 3.0 inclusive in a reactor, introducing the ammoxidation product gas into a quench tower, and reacting in the tower the unreacted ammonia with the organic acid produced in a reactor, to fix the unreacted ammonia as an ammonium salt of the organic acid.

A spirobifluorene compound and a perovskite solar cell including the spirobifluorene compound are disclosed. More particularly, a spirobifluorene compound which can be used as a hole transport material of a perovskite solar cell is disclosed. A perovskite solar cell including the spirobifluorene compound as a hole transport material is further disclosed.

In a method for production of documents with a hologram and a document with a hologram, wherein, in a first step, a hologram is exposed in a photographic film and, in a second step, the photographic film is applied to a document support, the individualisation of the holograms first occurs during the gluing or after the gluing to the printed personal document or to the protective film provided for the surface protection of the document. It is thus possible to produce in a secure and economical fashion documents with individual holographic information of greater visibility and with further novel security features.

The invention relates to the field of tunnel structure deformation observation technology, and particularly to a large circle shield tunnel diameter resolving method. The resolving method is characterized by comprising the following steps of acquiring large circle shield tunnel section scanning point information by means of three-dimensional laser scanning technology; processing a left cannel diameter convergence value, fitting arc segment scanning data, fitting linear segment scanning data and calculating left channel convergence value; similarly processing a right channel diameter convergence value; and performing calculation according to the diameter convergence value of the left channel, the diameter convergence value of the right channel and a middle baffle wall thickness designed value. The large circle shield tunnel diameter resolving method has advantages of high suitability for diameter resolving of the large circle shield tunnel, wide application range, simple resolving method and high precision of the diameter convergence value which is obtained through resolving.

The invention provides a component hole axis measurement method. The component hole axis measurement method comprises steps that S1, a simulation shaft is selected, and a diameter of the simulation shaft is smaller than a diameter of a measured component hole; S2, at least three non-collinear mark points are set on the simulation shaft, and a three-dimensional visual sensor is employed to track and measure the mark points; S3, a mark point coordinate system is established on the simulation shaft, and a relationship between an axis direction Vpi<rightarrow> of the simulation shaft and the mark point coordinate system is calibrated; S4, the selected simulation shaft is gradually assembled to the measured component hole, when the simulation shaft is inserted into the measured component hole at any depth di, the simulation shaft is obliquely turned around the axis of the measured component hole to a maximum allowable deviation angle thetai, thetai=sigma / di, and n groups of maximum simulation shaft allowable deviation angles thetai and corresponding axis directions Vpi<rightarrow> of the simulation shaft 2 are then acquired; and S5, on the basis of the data acquired in the step S4, an objective function described as the specification is constructed, and an optimal solution Vh<rightarrow> is solved when the objective function is the minimum. The method has advantages of convenient operation, high measurement precision and low cost.