55results about How to "Precision advantage" patented technology

The methods and apparatuses of the present invention provides for powering and maneuvering (forward, reverse and steering) systems for amphibious vehicle, marine vessel or ground vehicle operation and control. An improved propulsion system may incorporate the use of electric motors combined with impellers which use positive and negative magnetic torque applications and allows for new control strategies when used in water or on the ground. More precise control of the motoring and steering forces is provided which is suitable for use in a variety of amphibious, marine vessels or ground vehicle applications. Various types of electric drive motor/generators may be incorporated for use therein. Intelligent motion control systems may provide for improved vehicle control that can provide motive force and braking force in a precisely controlled manner that significantly improves performance and has faster control dynamics incorporating a fully integrated electrical braking and maneuvering system.

The invention provides a bridge bearing disease identification method based on transfer learning between convolutional neural networks. The method comprises the steps that bridge bearing disease photos are acquired, and label information is assigned to each photo; an image processing method is used to increase the volume of data used for training the convolutional neural networks; all pictures ina training set and a test set are scaled to color pictures of a predetermined size, and image preprocessing is carried out; a convolutional neural network model which is trained on other data sets isacquired; and a knowledge transfer method is used to acquire a convolutional neural network model with the function of automatic bridge bearing disease identification. According to the automatic bridge bearing disease identification method based on the convolutional neural networks, the convolutional neural networks trained in a knowledge transfer mode have obvious advantages in accuracy and convergence speed; the volume of data required for training the neural networks is greatly reduced; and the method is of practical significance for bridge bearing diseases with complex disease scenes and difficult data collection.

A pneumatically operated projectile launching device preferably comprises an electro-pneumatic flow distribution mechanism that receives and directs compressed gas to a pneumatic mechanism to open a bolt.

The invention relates to a multidimensional telemetry data intelligent interpretation method based on a corrected ELM prediction model, and aims to solve the problems that satellite parts are abnormaland miss being detected due to existing abnormal data which does not exceed a threshold value, criterion rules in a traditional method cannot be changed once being input, the flexibility is poor, a slow change trend of the data cannot be tracked, and a large amount of false alarms are generated once the data exceeds the preset threshold value. The specific process comprises the steps of 1, building A ELM single-step prediction models, and outputting A target parameters of a current time point by the A ELM single-step prediction models; 2, predicting target parameter prediction values of the current time point on the basis of historical real target parameters; 3, obtaining A corrected target parameter values of the current time point; and 4, judging whether a sample is normal or not. The method is used in the field of multidimensional telemetry data intelligent interpretation methods.

A laser beam is generated, having a irradiance level sufficient to be divided, is transmitted through a beam splitter that optically processes the beam to divide it into multiple beams having a predetermined irradiance. The multiple beams are further optically transformed to provide an annular irradiance distribution. The annular beams are applied to a target to perform a drilling operation.

The invention relates to a strip steel surface defect detection method based on deep learning. According to the method, the local information of the surface of the strip steel is extracted through a defect judgment and defect classification double-flow network model. The comprehensive analysis is conducted in combination with a scale pyramid, a similar heat map is obtained. Finally, the types andpositions of defects are obtained at the same time. The defect judgment and defect classification double-flow network model comprises defect judgment branches and defect classification branches. Compared with the prior art, the method has the advantages of being small in calculation amount, high in calculation efficiency, high in robustness, low in labeling cost, high in precision, low in equipment cost and the like.

The invention discloses a Gaussian error function circuit applied to neural networks. The Gaussian error function circuit comprises three squarers, two multipliers, two multiplier-adders, two dot product digital signal processors, an adder, a derivation DSP, and an exponent DSP. The DSPs are Design Ware floating-point DSPs from Synopsys. The circuit has a simple structure, uses DSPs easy to obtain, and is easy to implement. Compared with the traditional Taylor expansion method implementation scheme, the circuit has very obvious advantages in terms of precision, area and speed, and especially, the precision is at least two orders of magnitude higher. Meanwhile, the circuit can be implemented using a Verilog code, and has nothing to do with any specific process, so that the circuit can be applied to different processes very easily and is of very strong portability. The Gaussian error function circuit can be applied to the design of various hardware circuits related to neural networks as a soft-core IP.

A module for amplifying a signal light with a remote excitation-light, includes (a) a first optical input/output line through which a signal light is transmitted, (b) a second optical input/output line through which a signal light is transmitted, (c) an optical amplifier which amplifies a signal light on receipt of an excitation light transmitted through the first or second optical input/output line, (d) a bypass circuit which allows the signal light to bypass the optical amplifier, (e) a first optical connector which optically connects the first optical input/output line to the optical amplifier, and further optically connects the first optical input/output line to the bypass circuit, and (f) a second optical connector which optically connects the second optical input/output line to the optical amplifier, and further optically connects the second optical input/output line to the bypass circuit.

The invention discloses a surface albedo remote sensing model capable of considering practical skylight distribution influence. In a construction process, skylight angle distribution influence under an atmosphere condition and a multi-reflection mechanism between a surface and atmosphere are considered. A model user needs to carry out inversion on a surface BRDF (Bidirectional Reflectance Distribution Function) model through obtained multi-angle reflectivity data which is about a ground target and is observed by a spatial sensor; a geometric angle relationship between a sun incidence and sensor observation is used for calculating a BRDF model function; through the optical characteristic parameter, which is obtained by field measurement or satellite observation inversion, of atmospheric aerosol and the contents of ingredients including moisture, ozone and the like, surface-air coupling radiation transmission calculation is implemented to obtain input parameters including a diffusion total ratio parameter, a skylight angle distribution function, an atmospheric sphere albedo and the like which are required by the surface albedo remote sensing model in a descending irradiance field, and meanwhile, collineation and diffusion albedo and diffusion albedo under under the skylight angle distribution influence are calculated.

A light-emitting module, notably for a motor vehicle, including a translucent or transparent material body having an entry face for light rays produced by one or more light sources, a first reflection face with an edge for cutting off the rays coming from the entry face, a second reflection face for reflecting toward the exit face rays coming from the first reflection face, and an exit face for the light rays in an exit beam along an optical axis of the light emitting module. The invention also relates to a headlight including at least one such light-emitting module.

The invention relates to the field of medical devices, in particular to a full-automatic blood type analyzer. The blood type analyzer includes a control system, a working region, a supporting region located below the working region, the supporting region is internally provided with a circuit board module, the working region is provided with a suction head module, a sample module and a micro column card module in sequence in the X axis direction from left to right, a reading device is arranged between the suction head module and the sample module, the sample module is next to a piercing module, the micro column card module is next to a centrifugal module, the upper portion of the working region is provided with a X directional cross beam arm module, and the two sides of the working region are provided with Y directional sliding rails matched with the X directional cross beam arm module, so that the X directional cross beam arm module can slide forward and backward in the Y axis direction. Compared with the prior art, a gantry type moving beam structure is adopted by the full-automatic blood type analyzer, the structure has the advantages in the aspect of the running speed, the stability and the accuracy over a common cantilever structure adopted by a current blood type analyzer, and the design of four-channel sampling can effectively improve the running speed of equipment.

Disclosed is a gaming machine. The gaming machine determines a priority attraction-in ranking depending on an internal winning combination and a type of a symbol, for each of the symbols arranged on the reels, compares the priority attraction-in rankings related to each of the symbols ranging from a symbol located at a predetermined position to symbols within a predetermined range, when the stop operation is detected, and stops rotation of the reels when a symbol having the highest priority attraction-in ranking reaches the predetermined position.

The invention provides a pretreatment method for determining multiple pesticide residues in seasoning vegetable based on modified magnetic-nanometer material, and belongs to the technical field of thepesticide detection. The pretreatment method comprises the following steps: performing first mixing on seasoning vegetable pulp and acetonitrile; adding moisture scavenger, Fe3O4-PLS, PSA, C18 and graphitized carbon black in the first mixed solution to perform second mixing, thereby obtaining a second mixed solution; performing magnetic separation on the second mixed solution, and collecting supernate; and filtering the supernate, wherein the obtained filtrate is used for subsequent multiple pesticide residue analysis. By adding the Fe3O4-PLS in the same system, the purifying material and thewater removal material can be separated from the purified solution, two-step method in the pretreatment method is translated into one-step method, and the pretreatment effect is greatly improved; andthe accuracy and the recycling rate are improved by adjusting the purification material combination.

The invention discloses a kit for detecting trace drugs in sewage by using a time-resolved fluorescence immunochromatography technology, and an application of the kit. The kit comprises a kit body; and an aptamer affinity column, a time-resolved fluorescent microsphere freeze-drying tube and an immunochromatographic test strip are arranged in the kit body. According to the kit, a time-resolved fluorescent microsphere is used for marking an antibody, the half-life period of fluorescence is long, the product stability is relatively high, and the normal-temperature storage is facilitated; the detection limit reaches 50ng/L, so that accurate detection of the drugs is realized; small molecules such as the to-be-detected drugs, namely, methylamphetamine and the like in the sewage are enriched and concentrated through the aptamer affinity column, so that the sewage detection sensitivity of the test strip is improved, and the practical sewage detection sensitivity can reach 5ng/L according tothe effect of concentration by 10 times; the kit has obvious advantages in the aspects of inter-assay variations and the precision of the test strip, and is sufficient in reaction and higher in sensitivity; the operation is simple and convenient; and the test strip is simple and convenient to use and operate, and does not need to be operated by professionals.

The invention provides a method for repairing a bone tissue by utilizing 3D printing double-component hydrogel. The method comprises the following steps: spraying out hydrogel A and hydrogel B througha double-spray-head 3D printer, and performing reaction to generate calcium silicate in situ in a deposition process, thereby realizing bone repair; the hydrogel A is prepared from the following components in parts by weight: 40-50 parts of methacryloyl glycinamide hydrogel, 10-15 parts of monetite, 13-18 parts of calcium sulfate, 0.3-0.6 part of a nonionic surfactant and 16.4-36.7 parts of ethylacetate; and the hydrogel B is prepared from the following components in parts by weight: 22-30 parts of silicon dioxide gel, 18-26 parts of silicic acid, 25-32 parts of polylactic acid staples, 0.2-0.5 part of a zwitterionic surfactant and 11.5-34.8 parts of ethanol. The method can effectively realize precise and compact bone repair through reactive crystallization of the double-component gel which can be stored for a long time independently, is high in curing rate of repaired bones, is good in adhesion property, is good in biocompatibility, and greatly improves the bone injury heal effect;and moreover, the whole repair method is simple to operate, adopts easily available raw materials, is low in cost, and can be popularized and applied.