46results about How to "Shorten fitting time" patented technology

The invention discloses a hearing aid self-fitting method based on a deep learning network. Through building a comprehensive patient information bank and through deeply analyzing the patient and the fitting process, an effective strategy in the fitting process is found out, a new intelligent hearing aid self-fitting model is thus built, and the fitting efficiency is improved. The deep learning network is introduced, through a large amount of data training, the network is made to have artificial intelligence, voice information consistent with the hearing loss characteristics of the patient canbe quickly generated according to the basic information of the patient, the input gains can be adjusted automatically according to the evaluation feedback of the patient, the fitting time is greatly shortened, and the satisfaction of the user is improved.

The invention discloses a Markov Chain Monte Carlo automatic history matching method and system based on t-distribution that gets initial static parameters of oil reservoirs by t-distribution, applies history matching method based on Markov Chain Monte Carlo and calls oil reservoir value simulation software to static parameters of oil reservoirs to make iterative optimization to make predicted production dynamics approximate true values as much as possible and get optimized static parameters of oil reservoirs and oil reservoir value models. The Markov Chain Monte Carlo automatic history matching method and system based on t-distribution, first of all, gets initial static parameters of oil reservoirs by t-distribution before applying Monte Carlo method based on Markov Chain to constantly optimize model permeability and other static parameters of oil reservoirs to match actual dynamics in production, get oil reservoir value models as approximate to true models as possible, reduce matching time, enhance history matching efficiency and precision, and enable predicted results of dynamic forecast of oil field development by Monte based on Markov Chain to get closer to actual production.

The invention discloses a virtual fitting system based on augmented reality, comprising a first camera unit, a clothes model forming unit, a human body model forming unit, a model synthesis unit, a live-action rendering unit, a second camera unit, and a display unit. The output end of the first camera unit is connected to the input ends of the clothes model forming unit and the human body model forming unit. The output ends of the clothes model forming unit and the human body model forming unit are connected to the input end of the model synthesis unit. The output ends of the model synthesis unit and the second camera unit are connected to the input end of the live-action rendering unit. The output end of the live-action rendering unit is connected to the input end of the display unit. By synthesizing a clothes 3D model and a human body 3D model into a 3D effect model, a person can know the corresponding effect of clothes that the person tries on, and the fitting time is reduced. By combining the live-action rendering effect and the 3D effect model, the reality effect of virtual fitting is enhanced.

The invention relates to a portable tile chamfering cutting machine which comprises a left side plate, a right side plate, a front horizontal plate, a back plate, a working platform, a cutting machine slide guide rail, a handheld cutting machine, a horizontal connecting rod, a tile supporting rod, a horizontal limiting rod, a lug base, an angle-adjusting bolt and a hinge, wherein slopes are arranged on the front end faces of the left side plate and the right side plate; the front horizontal plate is fixedly connected with the slopes at the front ends of the left side plate and the right side plate; the back plate is connected between the left side plate and the right side plate; the working platform is fixedly mounted on the top end faces of the left side plate and the right side plate; the cutting machine slide guide rail is moveably mounted on the working platform; the handheld cutting machine is moveably mounted on the cutting machine slide guide rail; the lower horizontal connecting rod is connected with the front horizontal plate through the hinge; the tile supporting rod is mounted on the horizontal connecting rod; the horizontal limiting rod is moveably mounted on the tile supporting rod; the angle-adjusting bolt is mounted on the lug base. The portable tile chamfering cutting machine has the advantages of adjustable chamfering angle and feeding position, suitability for tiles in different sizes and materials, simple and convenient operation and stable and reliable quality.

The present application discloses a fast iterative line-circle optimal fitting method, which comprises: constructing candidate fitting results according to all data points; iteratively optimizing thecandidate fitting results; selecting an optimal curve. The candidate fitting results are obtained by full traversal in a basic search space to obtain a set of curves containing the optimal curve or the curves near the optimal curve and with the smallest error; the iterative optimization utilizes the prior knowledge that the outlier removed from the optimal fitting result must be the farthest datapoint to the curve, and iteratively modifies the outlier in the candidate fitting result, so that the candidate fitting result becomes stable and the RMS error is further reduced. Screening the optimal curve is to compare the RMS error of the iteratively optimized fitting curves and screen is the curves with the smallest error as the best fitting results. The line-circle optimal fitting method provided by the present application greatly shortens the fitting time, and the fitting process is non-random, so that the global optimal fitting result can be obtained quickly, stably and accurately.

The invention discloses a system for rapidly reading a point cloud document. The system is used for establishing N threads with multiple task processing ability; the point cloud document is divided into N segments of point cloud documents, and the N segments of point cloud documents are rapidly read in parallel and are respectively stored into N arrays; coordinate values of an X axis, a Y axis, a Z axis corresponding to each point in each segment of point cloud document are intercepted; coordinate axes are mutually transformed according to the selection of users for the coordinate axes; the coordinate values corresponding to the coordinate axes are replaced with the set values according to user set; all the arrays of the N threads are combined into a coordinate array; and a point cloud picture is drawn according to the coordinate values of the X axis, the Y axis and the Z axis of each point in the coordinate array. The invention also provides a method for rapidly reading the point cloud document. With the adoption of the method and the system for rapidly reading the point cloud document, the generality of reading the point cloud document can be improved; and the cloud data is processed before the point cloud picture is drawn.

The invention relates to a protein structure prediction method and device based on a multi-task time domain convolutional neural network. The method comprises the steps of: obtaining a target gene sequence and a protein database; establishing a DNA RNAamino acid ternary sequence data set corresponding to each protein according to the genetic code table and a protein database; establishing a multiple regression equation according to the residue depth and physicochemical properties of amino acids in the protein database to obtain statistical depth characteristics of each protein; clustering theternary sequence data set and mapping the ternary sequence data set into a multi-dimensional feature vector; taking the multi-dimensional feature vector and the statistical depth feature of the protein as the input of a multi-task time domain convolutional neural network, and training the multi-task time domain convolutional neural network; and predicting the protein structure by utilizing the statistical depth characteristics of the protein. According to the invention, the statistical depth characteristics of the protein are combined with the multi-task time domain convolutional neural network, so that the complexity of the model is reduced, and the generalization and the fitting degree are improved.

The invention discloses a method for extracting physical parameters of a resistance model, which comprises the following steps: step 1, manufacturing a plurality of resistors, and testing the length,width and resistance value of each resistor; 2, selecting physical parameters of that resistance model, wherein the number of the physical parameters of the resistance model is three, namely, normalized square resistance, corrected line length and corrected line width; 3, setting an accumulated error function of the resistance, the equation is described in the description; 4, a genetic algorithm is used to extract the normalized square resistor, and the values of the line length and the line width are corrected. The resistance cumulative error function is used as the fitness function in the genetic algorithm flow. The invention can effectively reduce parameter fitting error and fitting time.

The invention discloses a device for automatically sticking marble on a floor. The device comprises a first working block, wherein two sets of marble conveying mechanisms symmetrical about an inner space of a first working cavity are arranged inside the first working cavity, and each marble conveying mechanism comprises a first transmission motor fixed to the inner wall of the left side of the first working cavity. According to the device, the marble is carried, coated with cement, flatly laid and the like in an electric transmission and hydraulic transmission mode, cement is manufactured by acement stirring mechanism arranged inside the device at the same time while the marble is carried, after the back surface of the marble is coated with cement by the device, the marble is automatically flatly laid on the floor, whether the surface of the marble is horizontal or not is detected, and horizontal adjustment is carried out on a non-horizontal place to achieve the overall horizontal laying effect.

A decoration leveling assembly and a house decoration structure are disclosed. The decoration leveling assembly comprises a leveling pole, and a leveling disc; an axial end of the leveling pole is adapted to abut against a to-be-decorated portion; the leveling disc is provided with a sleeve and a wing extending radially outward, wherein the leveling disc is fixedly disposed on the sleeve; the leveling pole is fixedly inserted into the sleeve, a position of the leveling disc relative to the sleeve in the axial direction is adjustable, and the wing is suitable for being in contact with a surfaceof a decoration main material orienting to the to-be-decorated portion. By adjustment of the position of the leveling pole relative to the leveling disc in the axial direction, the axial end of the leveling pole abuts against the surface of the to-be-decorated portion, so that the wing of the leveling disc is in contact with the surface of the decoration main material, and a gap between the decoration main material and the to-be-decorated portion can be changed, thereby enabling the decoration main material to be disposed vertically or horizontally. A method is simple and convenient to operate, even a less experienced decoration worker can better complete installation of the decoration main material. At the same time, decoration time can also be saved, and the construction cost is reduced.

The invention relates to a photoacoustic spectrum identification method and device for characteristic gas in transformer oil. The method comprises the following steps: acquiring a plurality of photoacoustic spectrums of target characteristic gas under different excitation light sources, different temperatures, different concentrations and different pressures; performing image enhancement on each photoacoustic spectrum, removing spectral lines of which the absorption intensity is lower than a threshold value, performing segmented sampling and smooth filtering on each photoacoustic spectrum in sequence, and constructing a photoacoustic spectrum data set; mapping the temperature, the concentration, the pressure, the shape of an absorption spectral line, the position of the absorption spectralline, the intensity of the spectral line and a peak absorption coefficient of the target characteristic gas into a multi-dimensional vector by utilizing a principal component analysis method when thephotoacoustic effect occurs; and training a convolutional neural network by utilizing the characteristics and the photoacoustic spectrum data set and applying the convolutional neural network to photoacoustic spectrum identification. According to the method, a traditional spectrum processing method and the convolutional neural network are combined to recognize the characteristic information of the characteristic gas of the photoacoustic spectrum, the recognition speed is high, the accuracy is high, and the method can adapt to various working environments.

The invention relates to the technical field of building decoration, and provides a combined door frame capable of being fast installed and an installing method of the combined door frame. The combined door frame comprises a first door decoration line, a first door pocket, a second door pocket and a second door decoration line, wherein each of the first door decoration line, the first door pocket, the second door pocket and the second door decoration line is in a long strip shape; the first door decoration line, the first door pocket, the second door pocket and the second door decoration line are sequentially matched and connected through grooves and bulges; one side, far away from the first door pocket, of the first door decoration line and one side, far away from the second door pocket, of the second door decoration line are fixedly connected with a wall body; and one side of the first door pocket is provided with a first groove used for accommodating a door. The door frame has the advantages that the customization is not needed; mass production is realized; the cost is greatly reduced; the bulges of the second door packet can be cut according to the actual thickness of the wall body; the applicability to the wall bodies with different thicknesses can be realized; the adaptability is high; and the customization period of a suit door is reduced. The combined door frame can be applicable to the wall body with the thickness being 105 to 165mm.

The invention relates to an inner tension wall which comprises a wall body and multiple tension parts located in the wall body. The multiple tension parts can be configured so as to abut against the position between environment objects. The inner tension wall is simple in structure and capable of being rapidly demounted and mounted, and therefore the decoration time can be greatly reduced, the decoration cost is saved, and use of labor and material resources is reduced.

The invention relates to a multi-test-surface building component fire resistance test device. A main body structure is formed by fixing a furnace top steel structure, a furnace top right side wall steel structure, a left side wall steel structure and a bottom steel structure; a plurality of fire resistance die blocks are respectively on surfaces of the furnace top steel structure, the right side wall steel structure, the left side wall steel structure and the bottom steel structure in the main body structure to form equipment fire resistance protection layers; each fire resistance die block isfixed on the corresponding steel structure by an anchoring part; a front frame of the main body structure is a front test surface; a rear frame is a rear test surface; a rectangular hole at the top of the main body structure is a top test surface; four flue ports are respectively formed on the bottom surface of the main body structure; combination and measurement control systems are respectivelyfixed outside the left side wall steel structure and the right side wall steel structure; and the combination and measurement control systems at the left side and the right side respectively consist of seven combustion groups. The multi-test-surface building component fire resistance test device disclosed by the invention has three top, front and rear test surfaces, and has functions of accuratelycontrolling a temperature, saving energy and reducing emission, carrying out a fire resistance test on a plurality of vertical and horizontal test pieces and the like.

The invention relates to the technical field of decoration equipment, and discloses a decoration guniting screeding device convenient to maintain. The device comprises a base, the outer side of the base is movably connected with a conical gear, the interior of the conical gear is movably connected with a screw, the outer side of the screw is movably connected with a support, one end of the supportis movably connected with a fixed block, the interior of the fixed block is movably connected with a first connecting shaft, the outer side of the first connecting shaft is movably connected with a first connecting rod, the interior of the first connecting rod is movably connected with a second connecting shaft, according to the decoration guniting screeding device convenient to maintain, throughconnection of a conical gear and a first gear, the problem that at present, building wall plastering commonly uses cement mortar manual screeding, and rapid work cannot be achieved is solved, the condition that the manual grinding work efficiency is low can be avoided, the guniting construction engineering quality is not affected, practicability is high, reliability is high, decoration cost is reduced, the decoration time is effectively shortened, raw materials of cement, sand and the like can be saved, and the construction efficiency is high.

The invention discloses a Markov Chain Monte Carlo automatic history matching method and system based on t-distribution that gets initial static parameters of oil reservoirs by t-distribution, applies history matching method based on Markov Chain Monte Carlo and calls oil reservoir value simulation software to static parameters of oil reservoirs to make iterative optimization to make predicted production dynamics approximate true values as much as possible and get optimized static parameters of oil reservoirs and oil reservoir value models. The Markov Chain Monte Carlo automatic history matching method and system based on t-distribution, first of all, gets initial static parameters of oil reservoirs by t-distribution before applying Monte Carlo method based on Markov Chain to constantly optimize model permeability and other static parameters of oil reservoirs to match actual dynamics in production, get oil reservoir value models as approximate to true models as possible, reduce matching time, enhance history matching efficiency and precision, and enable predicted results of dynamic forecast of oil field development by Monte based on Markov Chain to get closer to actual production.

The invention discloses a multi-effect building wall facade assembly, which belongs to the technical field of building parts and includes a main frame and auxiliary equipment. The middle part of the inner frame of the main frame is vertically fixed with a central column, and one vertical side of the main frame is bolted to the A clamping structure is fixed, and a fixing component is embedded on the other side. A layered truss is welded and fixed in a horizontal position in the frame of the main frame, and an adsorption component is fixed through the bottom surface of the main frame. The top of the main frame On both sides of the surface, a central pin shaft is inserted through the horizontal plane projection area of ​​the clamping structure and the fixed assembly. The clamping structure includes a splint and a clamping roller. A rotating mandrel is combined, and the center of the cylindrical surface of the clamping roller is penetrated with a pin shaft through hole. The invention reduces the difficulty of changing the space span of home decoration, and a single device can be used in multiple scenarios, thereby improving the adaptability of products.

The invention discloses a method for optimizing an N (N is greater than or equal to 20) primary color spectrum fitting target spectrum. The invention aims to solve the problem that primary color spectrums of each column influence each other. Other primary color spectrum ranges influenced by each column of spectrums are accurately counted by utilizing the half width; when a certain column of spectrums is adjusted, other spectrums of which the peak wavelengths are in the half-width range of the column of spectrums are synergistically adjusted; therefore, the calculated amount is reduced to the maximum extent while the accuracy is improved, the fitting time is shortened, the fitting precision is improved, and the synthesized spectrum meets the requirements that the general color rendering index Ra is larger than or equal to 95, the special color rendering indexes R1 to R15 are larger than or equal to 95, and the color temperature deviation delta Tc is smaller than or equal to 10 K.

The invention discloses a laying device for ground and wall floors and a using method. The device comprises a bearing assembly, adsorption parts, a plurality of roller shafts and tracks for driving the bearing assembly to move, wherein the adsorption parts and the roller shafts are arranged on the bearing assembly; when the laying device is used, the floors are paved on the adsorption parts of thebearing assembly firstly; then a conveyor belt rotates to drive the roller shafts to flatten the plane; the conveyor belt rotates to drive the adsorption parts to rotate above the ground, and the floors are flatly laid on the plane; and finally, the conveyor belt rotates to drive the roller shafts to extrude the floors. When the laying device for the floors is used, the floor laying speed is greatly improved, the engineering construction safety is improved, the building and house decoration time is shortened, and the implementation process is simple and efficient.

The invention relates to the technical field of packaged stand pipe kits, in particular to a packaged stand pipe kit. The kit includes prefabricated boards, prefabricated plastic holes are formed in the prefabricated boards, the prefabricated boards are fixedly connected with the prefabricated plastic holes, and duct corners are arranged between the two prefabricated boards. According to the kit,the design is reasonable, structures are ingenious, and through the coordination between the structures, relative to brick laying, the space can be greatly saved, the thickness of the prefabricated boards is only 2 cm, transportation of plane boards is more convenient than the transportation of L-shaped prefabricated boards, the boards can be transported to a site and mounted at any time, the decoration time can be shortened, plastic hole positions are prefabricated in the prefabricated boards, the boards are convenient to mount with the duct corners and rivets, and the mounting time is saved.Due to the fact the prefabricated boards of 2 cm are made of cement, punching on the spot is difficult, drills and time can be wasted, the duct corners are mounted on the surfaces of the prefabricated boards, the rivets are convenient to mount through errors of hollow positions during adjusting and mounting, good market competitiveness can be achieved, and the kit is worth recommending.

The invention discloses an electrochemical parameter prediction method and device, electronic equipment and a readable storage medium, and the method comprises the steps: constructing an equivalent circuit of a to-be-detected component, and dividing the full-band impedance data of the to-be-detected component into low-band impedance data, middle-band impedance data and high-band impedance data; collecting medium-frequency-band impedance data and high-frequency-band impedance data of the component to be detected; determining a convergent machine learning model, inputting the medium-frequency-band impedance data and the high-frequency-band impedance data into the convergent machine learning model, and predicting to obtain initial electrochemical parameters; and determining target electrochemical parameters of each circuit element in the equivalent circuit according to the initial electrochemical parameters. According to the method, the prediction efficiency is improved while the prediction precision of the electrochemical parameters is improved.

The invention relates to an integral partition wall. The integral partition wall comprises one or more wall blocks and a tension component, wherein the tension component penetrates through the one ormore wall blocks to be supported between environmental objects; the tension component has a first state and a second state; in the first state, a tension exits between the tension component and the environmental objects; and in the second state, no tension exists between the tension component and the environmental objects. The integral partition wall is simple in structure and capable of being assembled and disassembled rapidly, so that the decoration time can be greatly reduced, the decoration cost is saved, and the consumptions of manpower and material resources are reduced.

The invention relates to an automatic reservoir history fitting system based on transfer learning. The automatic reservoir history fitting system comprises a data reading module, a population reinitialization module, an optimization module, an analog calculation module, a comparative judgment module and an output module. The data reading module reads an optimization result of an existing oil reservoir, outputs the optimization result to the population reinitialization module, calculates to obtain an initial population of a new oil reservoir, outputs the initial population to the optimization module, outputs an optimized result to the simulation calculation module, obtains oil reservoir production simulation data, and outputs the oil reservoir production simulation data to the comparison and judgment module; when the error between the simulation data and the observation data meets the requirement, an optimization result is output to an output module, and system operation is completed; if the error does not meet the requirement, optimization is performed again. According to the method, the experience of historical fitting model adjustment in an old instance oil reservoir model can be used for reference, the initial population closer to the optimization result is constructed according to the fitting experience of the existing model, and the method can be integrated with any evolutionary optimization algorithm and is more suitable for being applied to practical engineering problems.

An embodiment of the invention discloses a light trough and a mounting method thereof. The light trough comprises a first vertical frame plate, a second vertical frame plate, a first mounting plate and a veneer, two opposite sides of the first vertical frame plate are fixedly connected with a wall and the first mounting plate, two opposite sides of the second vertical frame plate are fixedly connected with the veneer and the first mounting plate, a mounting groove for mounting a light is formed in the first mounting plate, and the second vertical frame plate is positioned between the mountinggroove and the first vertical frame plate. The light trough can be modularly mounted, decoration processes can be simplified, technical requirements on constructors can be lowered, manpower cost is reduced, painting is omitted, pollution can be decreased, and environmental protection is benefited.

The invention relates to a wall surface which comprises a frame and one or more hanging objects hung on the first side of the frame. The frame is detachably mounted between environment objects. The wall surface is simple in structure and can be quickly dismounted and mounted, and thus decoration time can be greatly shortened, the decoration cost is saved, and consumption of manpower and material resources is reduced.

The present invention relates to a protein structure prediction method and device based on a multi-task time-domain convolutional neural network, the method comprising: acquiring a target gene sequence and a protein database; establishing a DNA-corresponding protein for each protein according to a genetic code table and a protein database RNA-amino acid ternary sequence data set; establish a multiple regression equation according to the residue depth and physicochemical properties of amino acids in the protein database to obtain the statistical depth characteristics of each protein; cluster and map the ternary sequence data set It is a multi-dimensional feature vector; the multi-dimensional feature vector and the statistical depth feature of the protein are used as the input of the multi-task time-domain convolutional neural network, and the multi-task time-domain convolutional neural network is trained; the protein structure is predicted using the statistical depth feature of the protein . The present invention combines statistical depth features of proteins with multi-task time-domain convolutional neural networks, reduces the complexity of the model, and improves the generalization and fitting degree.

The invention mainly provides a nano-film heating plate which is low in cost, simple in structure and easy to use and an automatic production line process of the nano-film heating plate. The nano-film heating plate is used as a cheap and easy-to-use heating building material and can be used only by reserving an electric wire on each floor during decoration, the decoration time is shortened, and environmental pollution is reduced. And the designed automatic production line process can reduce the manufacturing cost and improve the production efficiency. In the production process, the automatic production line completes the production processes of automatic feeding of the nano-film heating plate, hole site nano-film laser removal through laser, solder paste spraying, conductive copper column positioning and laser welding, visual inspection and AB insulation paste pouring, and has the advantage of rapidly completing the production efficiency of the nano-film heating plate.

The invention discloses a manufacturing method of tiles with a seam beautifying function. The manufacturing method of the tiles with the seam beautifying function specifically comprises the first stepof preparation of a forming mold, wherein the forming mold comprises an outer mold body, an inner mold body is arranged in the outer mold body, and connecting columns are arranged at the top of the inner mold body; lugs are arranged at the top and one side of the inner mold body, and grooves are formed in the bottom and the other side of the inner mold body; a limiting strip is arranged at the bottom end of the inner side of the inner mold body, and a forming groove is formed in the inner side of the inner mold body; and a top cover is arranged at the top of the outer mold body, a bottom cover is arranged at the bottom of the outer mold body, and handles are fixedly arranged on the two sides of the outer mold body. According to the manufacturing method of the tiles with the seam beautifying function, the outer sides of tile base materials are directly filled with a seam beautifying agent to produce the finished tiles with seam beautifying layers, so that the problems of large workload, complex process and the like in the seam beautifying agent filling process are effectively solved, the decoration time is shortened, and users can move in houses as soon as possible.