944results about How to "Lower quality requirements" patented technology

The invention discloses a locomotive license automatic identifying method and a realizing device thereof for shooting video in real time under a complex background; wherein, the identifying steps include: (1) locating a movement multi-target locomotive body area; (2) capturing a candidate license area image; (3) capturing a real license edge point; (4) capturing the smallest license area; (5) dividing characters and removing non-character images;(6) normalizing the character images and extracting the original coarse gridding characteristics of the character images; (7) using a trained BP neutral network for realizing the accurate identification of the license characters. The device for realizing the locomotive license automatic method includes a pick-up device and a computer; the pick-up device is connected with the computer by an IEEE1394 cable. The invention is suitable for the automatic identifying method and the realizing device thereof for dividing and identifying the locomotive licenses which are not interfered by the shoot traffic video image quality under a complex background with good identifying effects to the characters.

The invention proposes a crack identifying method based on deep learning convolutional neural network, and the method comprises the following specific steps: A) collecting an image building, training and verifying database; B) establishing a deep learning convolution neural network; and C) using the image database in A to train the completed deep learning neural network in B.

The invention discloses a method for generating virtual multi-viewpoint images based on depth image layering, which comprises the following steps: (1) preprocessing depth images to be processed; (2) layering the preprocessed depth images so as to obtain layered depth images; (3) selecting depth layers focused by camera arrays, and determining prospect layers and background layers; (4) layering two dimensional images to be processed so as to obtain layered two dimensional images; (5) calculating valves of parallax errors corresponding to the two dimensional image layers corresponding to various depth layers; (6) expanding the layered two dimensional images so as to obtain expanded layered two dimensional images; (7) obtaining the virtual two-dimensional images of various virtual viewpoint positions by using a weighted level translation algorithm. By using the method of the invention, virtual multi-viewpoint images required by a multi-viewpoint auto-stereoscopic display system can be generated rapidly and effectively without parameters of a virtual multi-viewpoint camera array model, and the method has good fault-tolerant capacity to the input depth images.

The invention belongs to the computer vision and intelligent identification technology field and especially relates to a cow face identification method based on a convolutional neural network and a classifier model. A last hidden layer of the convolutional neural network is a fully-connected layer containing 32, 64, 128, 256 or 512 nerve cells and is used for extracting a characteristic. And then, the classifier model is used to complete identification of a cow individual. When there is a newly-added cow, image data of the cow only needs to be collected, the data is input into a convolutional neural network model, and a characteristic is extracted and is added to an original classification model so that identification can be performed; and the convolutional neural network model does not need to be retrained. In the invention, the convolutional neural network model of a 64-dimension characteristic extraction layer is selected, sparsity is used to express a classification model, training data 24000 pictures and test data 6000 pictures of 30 cows, which are randomly selected, are tested, and a result shows that identification time is shortened through using the method; average time consuming for identifying each cow is shortened to 0.00022s; and an identification rate reaches more than 99%.

The invention discloses a method for partial reference evaluation of wireless videos based on space-time domain feature extraction, which relates to a method for evaluating video quality. On the basis of performing profound understanding and detailed analysis on the existing video objective quality evaluation model, by combining visual characteristics of human eyes, the invention provides the method for the partial reference evaluation of the wireless videos based on the space-time domain feature extraction to improve the conventional SSIM model. The method takes the fluency of the time domain and the structural similarity and the definition of the space domain of the videos as main evaluation indexes, and under the condition of ensuring the evaluation accuracy, the method extracts characteristic parameters of ST domains (the space domain and the time domain), establishes a new evaluation model, reduces the reference data needed by the evaluation and lowers the computational complexity to ensure that the evaluation model is suitable for evaluating the quality of wireless transmission videos in real time.

The invention discloses a three-dimensional correction reconstruction method of a rotary C-arm X-ray generator. The three-dimensional correction reconstruction method comprises the following steps that a correction die body is placed in a scanning area of the rotary C-arm X-ray generator; rotary scanning is conducted on the correction die body through the rotary C-arm X-ray generator so as to obtain a projected image sequence of the correction die body; according to projected images of the correction die body, the projection positions of steel balls are marked automatically, and the inclination angle and the central-point offset of each projected image of the correction die body are calculated; after the inclination angles and the central-point offsets are obtained, inclination correction and central-point offset correction are conducted on the projected images obtained through normal scanning of the rotary C-arm X-ray generator; by means of the FDK reconstruction algorithm, three-dimensional reconstruction is conducted on the corrected projected images. According to the three-dimensional correction reconstruction method, the projected-image correction method is used so that geometric scanning parameters of the rotary C-arm X-ray generator can be obtained rapidly and stably, and three-dimensional scanning supporting three-dimensional volume data reconstruction is completed.

The invention discloses a whole process management and control-based environment sampling management system and method. The system comprises an environment sampling whole process management system, a laboratory data management system, a background database management system, one or more embedded system secondary development-based field sampling handheld management terminals, one or more cloud information distribution systems, one or more directed wireless data reception/transmission ends, one or more remote sampling terminals and one or more remote sampling tools, wherein the one or more cloud information distribution systems are supplied to the public for accessing environment sampling test data and reports, and the one or more directed wireless data reception/transmission ends are used for field short-distance data transmission. According to the system and method disclosed by the invention, the whole process management and control in an environment sampling process can be realized by utilizing technological means such as real-time video uploading, two-dimensional code encryption and task pushing.

The invention relates to a preparation method for a zirconium-contained rare-earth composite oxide. At a certain ratio, rare earth (cerium, yttrium, praseodymium or terbium) is mixed with zirconium to burden, or rare earth (cerium, yttrium, praseodymium or terbium) and zirconium are mixed with at least one of other metal ions (aluminum, barium, magnesium, strontium, titanium, manganese, ferrum, copper and hafnium) to burden. A magnesium bicarbonate or/ and calcium bicarbonate aqueous solution prepared from raw materials of magnesium or/ and calcium minerals or oxides and hydroxides by at least one working procedure of roasting, digesting, mixing size, carbonizing and the like can serve as a precipitator to carry out precipitation so as to obtain at least one of rare earth and zirconium composite carbonate and subcarbonate, and the at least one of rare earth and zirconium composite carbonate and subcarbonate is further roasted to obtain a zirconium-contained rare-earth composite oxide product. In the preparation method, cheap calcium or/ and magnesium minerals or low-purity oxides and hydroxides can serve as initial raw materials to replace common chemical industry precipitators, such as ammonia water, ammonium bicarbonate, sodium carbonate, sodium hydroxide and the like, substances, such as magnesium, calcium, carbon dioxide and the like can be effectively circulated and utilized so as to greatly lower the production cost of the zirconium-contained rare-earth composite oxide, such as ceria-zirconia, yttrium zirconium, praseodymium zirconium, terbium zirconium and the like. In addition, in the production technology disclosed by the invention, no ammonia nitrogen wastewater, high-salinity wastewater and the like are generated, carbon dioxide greenhouse gas emission amount is reduced, the preparation technology is environmentally-friendly, and environment pollution is avoided.

The invention relates to a method for growing a group III nitride nanometer material, which comprises the following steps of: (1) epitaxially growing a GaN template, a SiO2 layer and a Ni metal film on a substrate in sequence; (2) enabling the Ni metal film to form self-organized nanometer Ni particles by using a two-step rapid thermal annealing method; (3) and etching the SiO2 layer by a dry method by using the self-organized nanometer Ni particles as a mask to form a SiO2 nanometer column; (4) etching the GaN template by the dry method by using the self-organized nanometer Ni particles and the SiO2 nanometer column formed by etching as masks to form GaN nanometer column array; (5) removing the SiO2 nanometer column and the nanometer Ni particles by using a BOE solution to obtain the GaN nanometer column array; and (6) growing the InN or InGaN group III nitride semiconductor material on the GaN nanometer column array, the side wall thereof and the bottom of the nanometer column array.

The invention belongs to a producing and cooling technique of rolled steel, relating to a cooling method of a heavy and medium plate controlled rolling intermediate blank, which can be realized by both a single-stand heavy and medium plate roll and a double-stand heavy and medium plate roll. The cooling method comprises the following steps of: transmitting a roughly rolled intermediate blank with the thickness range of 30-110 mm in an austenite recrystallization zone into an intermediate controlled cooling zone from a transmission roller way for rapidly cooling to 800-950 DEG C, and then transmitting the intermediate blank into the roll for rolling in a non- recrystallization zone after short-time air cooling and temperature evening. In the intermediate cooling process, an upper collecting pipe and a lower collecting pipe with high density or ultra-high density are adopted to impact, jet and cool the intermediate blank, and specific technological parameters are accurately controlled by a computer. Water is cooling water for the roll with the pressure of 0.3-1.0 MPa in a common water circulating system for workshops. The intermediate cooling holding time is 30-70% shorter than that of the conventional process so that the production efficiency is improved, and due to austenite grain refinement after intermediate controlled cooling, the mechanical properties of a steel plate can be improved.

The invention relates to an electric power plant condenser high pressure water shooting flow online washing robot technology that cleans the electric power plant condenser by high pressure water shooting flow. Setting the mechanism arm locating device and high pressure soft tube into the condenser by using the combination method and install structure of locating mechanism arm orientation device formed by extending mechanism arm and rotating mechanism arm, high pressure soft tube manage device, and high pressure spray head control device, locates the spray head on the rotating mechanism arm by computer control system, sends to the inner of the condenser copper pipe, and cleans the dirt in the inner of the condenser copper pipe by high pressure water shooting flow. The generating set needs not stop while cleaning. The invention has advantage of simple structure, no pollution and high reliability.

The invention discloses an intelligent marking method and system of objective questions. The method comprises the following steps: obtaining an answer sheet image; carrying out gray-scale processing on the answer sheet image to obtain a gray-scale image; according to an answer sheet template parameter, segmenting the answering area of the gray-scale image to obtain answering area sub-images; extracting the filling characteristic of each option in each sub-image, wherein the filling characteristic is used for describing the filling degree of the single option; on the basis of a statistic model and the filling characteristic, identifying the option to obtain the filling degree score of the option; and according to the filling degree score of the option, determining the filled option. The accuracy of option answer judgment can be improved.

The invention provides a cloud end meter reading method and device. The method includes acquiring meter reading information including a meter type and a meter image; according to the meter type, performing identification on a number area in the meter image and obtaining valid meter reading. Compared with a traditional method of identifying a meter image taken at the meter side, the method providedby the invention has lower requirements for quality of the meter image, pretreatment including binaryzation, denoising and the like on the meter image is not required before identification, the application range is wider. Besides, identification on the meter image is performed on a cloud end meter reading platform side, the operation capability is higher and the method is suitable for more complex and more accurate algorithms. Especially for mechanical meters with number rotation instead of number hopping, identification is more accurate.

An efficient calcium thioaluminate type bulking agent, an improvement on CAS-type one, features that the lime stone, gypsum and bauxite are first calcined in rotary kiln to prepare clinker, which is them mixed with gypsum and ground while lime stone is added to generate CAS-type bulking agent. Its advantages are high performance and low content of alkali.

The invention discloses a multi-rotor plant protection unmanned aerial vehicle, belonging to the technical field of unmanned aerial vehicles. The multi-rotor plant protection unmanned aerial vehicle comprises an undercarriage, a body, a rack, arms, a main rotor, an auxiliary rotor, a spray system and a control system, wherein the body is arranged above the undercarriage and connected with the undercarriage; the rack is arranged above the body and connected with the body; the arms are mounted on the rack; even number of arms are provided and symmetrically distributed on the rack; an engine is arranged at the upper part of the rack; the main rotor is connected with an output shaft of the engine; an motor is arranged on each arm; an output shaft of each motor is connected with the corresponding auxiliary rotor; a spoiler is arranged on each arm; the spoilers are used for offsetting the anti-torque effect generated by the rotation of the main rotor; the control system, the engine and the motors are all connected with a power supply; and the control system controls the working states of the main rotor, the auxiliary rotors and the spray system. In the invention, gasoline-electric hybrid power is adopted, the whole structure is simplified, the structure is simple, and the time of endurance is long.

The invention provides a method and a system for analyzing a fault root cause. The method comprises the following steps that: according to the time attribute of each piece of data in a dataset, carrying out sorting, and segmenting the dataset according to a preset time window to obtain multiple groups of sub-datasets; according to an Apriori algorithm, obtaining a frequent item set and an association rule in the dataset, wherein the frequent item set contains a certain quantity of data with a strong association relationship; and according to the time attributes of the data in the frequent itemset, carrying out sorting, matching the data which ranks higher with adjoint warning cause data pre-stored in a warning cause database in sequence, if the data which ranks higher is successfully matched with the adjoint warning cause data pre-stored in the warning cause database, removing the data which ranks higher from the dataset, and continuously carrying out comparison from a next data itemuntil the data which fails to be matched and ranks higher is taken as the root cause of the data of which the time sequence ranks at the bottom in the frequent item set. The method is suitable for thefull-dimension monitoring scene of an IT (Information Technology) system, the pressure of operation and maintenance personnel is released, and the quality requirements of the operation and maintenance personnel are lowered.

The invention discloses an answer sheet information collection method and device. The method comprises the steps of obtaining answer sheets with the information to be collected, starting the photographing function of the device and obtaining pre-manufactured answer sheet template layout drawings; displaying the answer sheet template layout drawings corresponding to the answer sheets on the photographing interface; guiding a user to carry out photographing adjustment according to the answer sheet template layout drawings so that the answer sheet template layout drawings displayed on the photographing interface can be aligned with the answer sheets with the information to be collected; photographing the answer sheets to obtain the information of the answer sheets. According to the answer sheet information collection method and device, the information of the answer sheets can be easily and conveniently obtained, and the adaptability of the method and device is improved.

The invention discloses a side-by-side package separating device and method. The method is characterized by firstly dispersing and opening a gap, then photographing by applying an image recognition algorithm, and identifying a position relationship between adjacent packages so as to specifically separate the packages at a foremost position one by one; and realizing high-speed separation and single-queue conveying of batch packages, realizing a maximum rate of subsequent single code scanning operation, reducing an omission ratio and improving efficiency of overall sorting operation. The separation method comprises the following steps of dispersion, dispersing the packages arriving at a dispersion device from a conveying line through an angle difference existing in a conveying direction, wherein a gap is reserved between the adjacent packages; detection and recognition, photographing and recognizing the detected packages through a visual recognition device, and obtaining a three-dimensional size and real-time position data of each package; separating, applying different conveying speeds to the identified adjacent packages through a separating device; identifying that a first packageat a front position arrives at a side-approaching device at a higher speed, and so on; and single row queuing, forwardly conveying the different packages arriving at the side-approaching device in sequence in a single-row queue mode.

The invention relates to the technical field of mixed gas separation, in particular to a method and a device for separating combined oxygen and nitrogen absorbed together by temperature change. The device comprises at least two absorption towers filled with absorbent, a heating and heat exchange device which heats and cools the absorbent in the absorption towers, pipelines supplying raw material gas to each absorption tower, a pipeline taking out the product gas from each absorption tower, a pipeline for recycling and exchange of gas components and energy between the absorption towers so as to transfer the gas kinetic energy and heat of the absorption tower which absorbs saturatedly to the other absorption tower, an oxygen and nitrogen product gas cushion tank, washing pipelines introducing the oxygen product gas to the feeding end of each absorption tower, and washing pipelines for introducing the nitrogen gas product to the discharging end of each absorption tower. The separating method provided by the invention can obtain two kinds of high-purity products, namely oxygen and nitrogen, at the same time by adopting a single absorption and separating process, and therefore meets the requirement of astronauts on the aerospace oxygen. The device system can be integrated highly, and the size and weight of the device system meet the requirements of the future aerospace craft on oxygen and nitrogen extraction development and the requirements of the onboard equipment.

The invention relates to a method for evading co-channel interference through deflection antenna pointing and a satellite communication system. The method comprises the following steps: arranging morethan one space-borne antenna on an NGEO communication satellite; determining a constellation configuration of the NGEO satellite communication system, and ground user type and distribution, and selecting variables to describe the normal orientation of the space-borne antenna of the NGEO satellite communication system; according to an interference protection regulation for the GEO satellite systemof ITU, selecting a group of indexes alpha for balancing the interference degree of the satellite communication system to the GEO satellite system; determining a group of indexes beta for balancing link quality of the satellite communication system; establishing a nonlinear optimization model of the normal orientation of the phased array antenna according to the indexes alpha and the indexes beta; and solving optimal variables through iterations and outputting a set of optimal phased array antenna deflection pointing setting scheme. The method for evading co-channel interference through deflection antenna pointing and the satellite communication system in the present invention ensure own communication link quality and reliability requirements, so that the satellite system can coexist effectively with the GEO satellite system at the same frequency.

The invention discloses an identification method and device of device states of pressing plates of a transformer station. The method comprises steps of acquiring initial acquisition images of pressingdevices of a transformer station; extracting a to-be-identified image region corresponding to a signal pressing plate device from the initial acquisition images; carrying out depth reconstruction onthe to-be-identified image region so as to generate relative depth information; according to the relative depth information obtained through calculation, carrying out graph theory segmentation; segmenting the to-be-identified image region into foregrounds and backgrounds; and inputting the segmented to-be-identified image region into a pre-trained neural network classifier, and outputting workingstate information of the pressing plate devices in the to-be-identified image region. According to the invention, in a way of depth information reconstruction, the foregrounds and the backgrounds of the graph theory segmentation are determined; by use of the graph theory segmentation, images are segmented; by use of the trained neural network, the segmented images are identified; requirements on quality of illumination and images are quite low; quite high robustness is achieved in onsite light ray interference; and identification accuracy is quite high.

The invention relates to a preparation method of high-viscosity-index lubricating oil base oil, which is characterized by comprising the following steps of, firstly, contacting raw materials with to a dewaxing solvent to obtain dewaxed oil and oil-bearing wax, wherein the raw materials are vacuum gas oil and/or light deasphalting oil; secondly, contacting the dewaxed oil with a hydrotreating catalyst in the presence of hydrogen to obtain a hydrotreating product; thirdly, contacting the oil-bearing wax with a first hydrofining catalyst in the presence of the hydrogen to obtain a first hydrofining product; fourthly, mixing the first hydrofining product and the hydrotreating product, and sequentially contacting the mixture to a hydroisomerization catalyst and a second hydrofining catalyst in the presence of the hydrogen to obtain a second hydrofining product; and fifthly, cutting the second hydrofining product to obtain a lubricating oil base oil product. In the preparation method of the lubricating oil base oil, intermediate base raw materials with low wax content can be adopted to produce the lubricating oil base oil which has the viscosity index up to above 120 and the high yield of 60-70 percent.

The invention discloses a YIG (Yttrium Iron Garnet) band rejection filter based on a planar resonant coupling structure and a fabrication method of the YIG band rejection filter. The filter comprises a YIG band rejection filter and a driver, wherein the YIG band rejection filter comprises a resonant cavity, a planar resonant coupling structure, a permanent-magnet biasing magnetic path and an excitation coil, the planar resonant coupling structure is arranged in the resonant cavity, and the permanent-magnet biasing magnetic path provides a stable magnetic field for the resonant cavity. With the adoption of a mode of arranging a YIG thin film on a front surface of GGG (Gadolinium gallium garnet) glass and photoetching a coplanar waveguide circuit on the YIG thin film by sputtering, the planar resonant coupling structure is formed, a traditional spherical three-dimensional coupling structured YIG band rejection resonant coupling structure is substituted, and the technical defect existing in the traditional structure is also overcome. In the processing technology, The YIG thin film is first photoetched to a required shape according to a product shape needed to fabricate, and then the GGG glass is cut along appearance; and the defect of edge breakage or damage of the YIG thin film easily caused by directly cutting the YIG thin film based on a GGG substrate is overcome.

The invention provides a method for producing computer-to-plate (CTP) lining paper, which is characterized in that: the lining paper is produced by using a common multi-cylinder long mesh paper machine, and the production process comprises the following steps: pulp beating, pulp proportioning, paper manufacturing with pulps, surface sizing, press polish and rewinding to produce base paper, then carrying out subsequent press polish treatment on the base paper to produce finished paper; the CTP lining paper is produced from paper pulps which are made of hardwood pulps and softwood pulps, chemical additive cationic starch, cationic dispersed rosin size and auxiliary sizing agent aluminum sulfate serving as raw materials. In the method, the cationic dispersed rosin size is used and the auxiliary sizing agent aluminum sulfate is added for two times on a proportioning pool and at an outlet of a fan pump, so that the problem of producing the CTP lining paper by using cationic dispersed rosin acid sizing technology is successfully solved. The pH value of the water extract of the produced base paper is kept within a range of 5.2 to 5.8, so that the key indicator of the paper, namely, the pH value of the water extract of the paper, meets the quality requirement on the CTP lining paper.

The invention discloses a method for detecting a ship in an aerial image of an unmanned aerial vehicle based on deep learning. The method comprises the steps that firstly, aerial images of unmanned aerial vehicles including military ships and civil ships are collected and marked, and a ship database is obtained; Then, the obtained ship database is sent to a deep learning network for training untilthe network converges; And finally, a ship target in the aerial image of the unmanned aerial vehicle is detected by using the trained deep learning network and the weight file, and outputting a detection result. The method has better accuracy and robustness, effectively solves the problem of small target detection in the aerial image of the unmanned aerial vehicle, also solves the problems of environmental interference, illumination influence and low accuracy of ship detection in a traditional image processing algorithm, and can be suitable for ship detection in different scenes.

The present invention discloses a multi-zone damage detection method based on Lamb wave signal correlation coefficients, by arranging of a sensor array in the structure, a monitoring area is divided into two basic monitoring units, and the basic monitoring units are identified by the method based on signal correlation coefficients for further monitoring area damage imaging. The damage signal arrival time can be extracted only by knowing of a rough Lamb wave propagation velocity in the structure without use of complex signal processing method and noise removal technique, the quality requirement of the signal is low, and environmental requirement of the structure is reduced.