241 results about "Grade system" patented technology

The invention discloses pearl real-time detection and grading system based on machine vision which includes: computer vision recognition component which is equipped under the charging conduit of pearl charging device, and pearl sorting device is equipped under the computer vision recognition component. Using the computer vision technology, collecting image of sequential free-falling pearl surface, sending the collected image to DSP and computers and other hardware apparatus to dealing, then distinguishing the pearl classification standard instantaneously through the dealing results, last sending the distinguishing information to sorting device to achieving classification of pearl with different characteristics automatically using devices. It can get pearl whole surface image, can complete the testing of whole apparent quality index such as pearl size, shape, smooth, defect and color, etc. simultaneously, achieve the rapid real-time detection and grading. The system can adapt to different classification speed, and the structure is simple, adaptability is strong.

The invention discloses a system and method for calculating driving risks and assisting automobile insurance pricing based on multi-source data. The system includes an intelligent mobile internet terminal and a remote server connected with each other; a plurality of data sensing acquisition units and applications are installed in the intelligent mobile terminal; and the remote server is provided with a risk model algorithm system and includes a scene driving risk analysis sub module, a distracted driving model recognition sub module, a user travel behavior analysis sub module and a driving behavior evaluation and grading system sub module. According to the system and method of the invention, data acquired by the intelligent mobile internet terminal and road traffic information acquired by the remote server are analyzed, and the scores of the sub modules are calculated, and automobile insurance pricing is carried out according to the scores. With the system and method of the invention adopted, based on multi-source data acquisition and fusion, the driving behaviors of users are analyzed, and the travel habits, driving habits and driving risks of the drivers can be effectively calibrated, and therefore, theoretical basis and technical support can be provided for driving behavior-based automobile insurance pricing models.

A system that compares, ranks, sorts and grades animals into groups of like kinds according to previously determined predicted maximum values. The system uses a single method such as multi-dimensional single voxel(s) of MR, NMR, MRI, ultrasound, C.A.T. scan, CT scan, P.E.T. scan, or a combination of these, or any equivalent internal measuring device, on a single occasion, to evaluate the animal and determine a number of days the animal must be fed to reach a maximum value. The system also combines internal evaluation with an external animal evaluation system to refine the number of days remaining for the animal to reach a maximum value, and the system, when used in a feedlot, will direct the animal to a feed pen based on the number of days remaining for the animal to reach maximum value.

The invention relates to a detection and grading system for tenderness of fresh beef based on multispectral imagery, which belongs to the technical field of detection of food quality. In a dark box, the lens of a CCD industrial camera is aligned with the center of a table board of a height-adjustable objective table, two multispectral light source assemblies are symmetrically arranged at a left sidewall and a right sidewall of the dark box respectively through two light source fixing supports, and a large power LED array on each of multispectral light source assemblies is composed of LEDs of 6 kinds of wave bands; during detection, a sample to be detected is put on the table board of the height-adjustable objective table, the LEDs of 6 kinds of wave bands alternately radiate in order, the CCD industrial camera acquires multispectral images of the sample to be detected, a multispectral beef sample reflection image in an interested area of a lean meat part is extracted through computer image processing, and therefore, marbling of beef is extracted, and evaluation and grading of content of marbling of the beef are carried out, and tenderness of the beef is predicted. The detection and grading system provided by the invention is applicable to companies dealing with cutting, marketing, processing and import and export of fresh beef and to market supervision by quality and technical supervision departments.

The invention discloses a device for automatically carefully sorting and grading shrimps. The device comprises a feeding system, a sorting channel, an image collecting system, a grading system and an image processing system; the feeding system is used for outputting to-be-sorted shrimps to the sorting channel in a single row; the sorting channel consists of a buffering channel and a sampling channel which are sequentially connected, the sampling channel is divided into a plurality of single-row channels, the buffering channel is internally provided with a plurality of direction adjusters, and used for separating raw material shrimps, output by the feeding system, into singles, and adjusting the posture of each raw material shrimp entering single-row channel; the image collecting system is used for collecting images of the raw material shrimps; the grading system comprises spray nozzles corresponding to single-row channels, and the spray nozzles are controlled by the image processing system and used for blowing the shrimps to enter different receiving tanks; the image processing system is used for analyzing the images, grading the image of each shrimp, and emitting the signal for controlling the grading system according to the graded results. The invention further discloses a method for automatically carefully sorting and grading shrimps.

A process and equipment for an automated lumber end-scan system includes a conveyer to carry sawn lumber in a direction transverse to the axis of the boards, a light source to illuminate at least one butt end of each board as it passes by a scanning region, at least one digital camera to capture an image of each end face, and a processing unit to convert the digital signal into useable information. The digital signal is analyzed to obtain information about both natural and manufacturing defects that might be present at the end of the lumber and also to obtain further information about the properties of the lumber from the location of the pith, the growth rings and the grain pattern. This information may be used to augment the analysis of defects present in the entire board for determination of the final grade within an automatic lumber grading system. The system can also be used on a stand-alone basis and integrated into a non-automated grading area as a grader assist device.

A method of three dimensional measurement, evaluation, and grading system for fabric / textile structure / garment appearance, based an values P and Q, is carried out using a fixed digital camera positioned above a piece of the fabric, shining at least two different parallel light beams from inclined directions onto the surface of the fabric and capturing different reflected images of the surface with the camera. The captured images are analysed to derive certain parameters relevant to the appearance. In particular, values of P+Q may be used in a grading evaluation, where P and Q are summations of the surface gradients for a plurality of evenly distributed points in an x direction and in a y direction of the surface, respectively.

The invention discloses a hyper text transfer protocol (HTTP)-analysis-based uniform resource locator (URL) automatically classifying and grading system and an HTTP-analysis-based URL automatically classifying and grading method. The system comprises an HTTP request / response message preprocessor, an HTTP request message resolving server, an HTTP response message resolving server, a switch, an HTTP storage and correlation server and an HTTP grading and classifying server, wherein the HTTP request / response message preprocessor is used for distributing an HTTP request / response message image data flow; the HTTP request message resolving server is used for recombining the HTTP request message image data flow; the HTTP response message resolving server is used for recombining the HTTP response message image data flow; the HTTP storage and correlation server is used for storing message information; and the HTTP grading and classifying server is used for automatically classifying and grading URLs. The method comprises the following steps of: preprocessing an HTTP message image data flow to acquire the HTTP request / response message image data flow, and distributing the HTTP request / response message image data flow; recombining the request / response message image data flow, and storing the message information which is extracted from recombined data; correlating the stored information; and classifying and grading the URLs according to correlated information. By the system and the method, the URLs can be efficiently classified and graded.

The disclosure described herein is directed to a computerized system and method of grading and authenticating collectibles utilizing digital imaging devices and processes to provide an objective, standardized, consistent high-resolution grading of collectible objects, such as but not limited to sport and non-sport trading cards. The disclosure eliminates the subjectivity present in the human grading process and overcomes the inherent limitations of the human eye.

The invention discloses a Chinese reading difficulty grading method and system based on machine learning. In the grading method, training samples can be updated in real time so that the feature that language changes along with times is taken into consideration and therefore the Chinese difficulty grading table and the word frequency table can be updated. The introduction of features such as semantic, sentences, texts and subjects makes it more objective by using the above features, sentence length and word length as the index of complexity and therefore structural property can be accurately reflected. By using feature set to make up for the lack of a few shallow local linguistic features, it can reflect the real process of reading comprehension and classify the reading difficulty level more accurately. By this method, the reading difficulty grading technique can be applied to Chinese, which accords with the language characteristics of Chinese. The grading system comprises a text obtaining unit, a constructing unit and a training and predicting unit, which realizes the same beneficial effects of the grading method for Chinese text reading difficulty.

A system that compares, ranks, sorts and grades animals or carcasses into groups of like kinds according to previously determined predicted maximum values. For live animals, the system uses magnetic resonance imaging (MRI) on a single occasion to evaluate the animal and determine a number of days the animal must be fed to reach a maximum value. For carcasses, the system evaluates the carcass to grade the quality and quantity of meat the carcass will provide. The system also combines MRI imaging with a three-dimensional system to refine the number of days remaining for the animal to reach a maximum value, and the system, when used in a feedlot, will direct the animal to a feed pen based on the number of days remaining for the animal to reach maximum value.

A milling machine adapted to remove milled material from a road. The milling machine may include a CAN based grade system operatively connected to a sensor and a milling drum, and a CAN Bus adapter operatively connected to the CAN based grade system. The milling machine may include a programmable logic controller operatively connected to the CAN Bus adapter. The milling drum selectively removes the milled material from the road, and the sensor provides a signal to the CAN based grade system, and the milling drum is positioned based on data from the CAN based grade system.

The present invention provides a method and a system for increased efficiency during grading and / or batching. Partial batches are formed based on their characteristics and the fact that the items (1) forming a partial batch have appropriate and desired characteristics. The items (1) are then transported jointly to its destination where they form an intermediate or final batch. The present invention therefore provides a method for grading and batching items with increased efficiency. The method of the present invention is applicable to the devices and processing lines of modern item processing such as food processing lines and grading systems such as cabin grading etc.

The embodiment of the invention provides a marked word classifying and grading method and a marked word classifying and grading system. The method comprises the following steps of: a, acquiring a marked word-containing classifying and grading machine model; b, extracting the features of a newly-marked word; and c, calculating by using the machine model according to the extracted features of the newly-marked word so as to determine the classification and grading of the newly-marked word. In the embodiment of the invention, the existing search keywords and advertising auction words are classified, graded and counted and the machine model is established, so that new keywords or auction words are automatically recognized, analyzed and evaluated by a machine and a set of marked word classifying and grading method and a set of marked word classifying and grading system are realized.

The embodiment of the invention provides a machine learning model and an establishing method thereof. The method comprises the following steps of: a1, acquiring a sample library of conventional target words; a2, performing positive and negative sample classification on the conventional target words for classifying the conventional target words into at least one positive sample and at least one negative sample; a3, performing feature extraction on the positive sample and the negative sample; and a4, forming the machine learning model according to the extracted features of the positive sample and the negative sample. In the method of the embodiment of the invention, the machine learning model is established by performing classified and graded statistics on conventional search keywords and advertising auction words, so as to automatically identify, analyze and evaluate new keywords or auction words by a machine; and therefore, a classified and graded method and a classified and graded system for the target words are realized.

The invention relates to a wrist-mounted sleep monitoring system. The wrist-mounted sleep monitoring system comprises a wrist-mounted sleep quality monitor, an intelligent cellphone module and a background server analyzing system. The wrist-mounted sleep quality monitor is communicated with the background server analyzing system through the intelligent cellphone module. A sleep quality analyzing module is embedded in the intelligent cellphone module which judges sleep hierarchies according to monitoring data of the wrist-mounted sleep quality monitor. The background server analyzing system stores user monitoring data transmitted by the intelligent cellphone module for a long time, sets up a grading system and grades sleep according to various indexes every day. The background server analyzing system is of a B / S and C / S mixed structure, and users can be supported to inquire information by accessing to the Internet through PCs (personal computers) or through cellphone APPs (applications). By the wrist-mounted sleep monitoring system, the users are urged to adjust bad work and rest habits according to monitoring information and analysis results.

The invention relates to a construction process for blowing-filling sludge and reclaiming land from sea and a device thereof. The device comprises a sludge dehydrating and grading system A, a solidification treatment system B and an improved slurry paving system C. The construction process comprises the following process flows: (1) in a designated area, blowing-filling the slurry discharged according to a common blowing-filling process or by an overflow device to a designated level to form a foundation slurry layer; (2) paving a permeable isolating layer e on the surface of the foundation slurry layer; (3) feeding sludge slurry a into the sludge dehydrating and grading system A to make the coarse concentrated slurry with low water content and coarse grain diameter enter a slurry and curing agent mixing device; (4) conveying a curing agent of a curing agent storage device to the slurry and curing agent mixing device through a curing agent conveying device; (5) stirring the slurry and the curing agent, and evenly stirring a mixture of the slurry and the curing agent through a discharge device to form modified slurry to be conveyed to a required place; and (6) adopting the paving system to pave the modified slurry to the designated thickness on the permeable isolating layer e layer by layer.

The double nozzle atomizing aluminum powder production process includes the following steps: smelting aluminum ingot in aluminum smelting furnace with two heating silicon carbon rods, atomizing the liquid aluminum in double nozzle atomizing chamber, blowing high temperature and high pressure nitrogen with air compressor into the atomizing chamber to cooling liquid aluminum into aluminum grains, grading in a grading system comprising three stages centrifugal grading machine and one cyclonic collector, and circulating through a circulating system comprising double balance tank and double blower. The present invention has greatly raised production capacity, saving in investment and low production cost.

The invention provides a metal ultrafine atomizing, crushing and grading system, comprising a metal smelting furnace, a metal hydrogen-discharging and heating furnace, a metal atomizing device, a fluidized bed depolymerization grader, a second precise grader, at least one collector, a filter and a compressor. The invention also provides a metal atomizing device, comprising a crucible, a spray disc, a spray cover and a cylindrical spray cylinder, wherein a circle of evenly distributed inclined holes is respectively arranged on at least two circumferences with different diameters of the spray disc; each inclined hole is provided with a Laval nozzle; and the extension line of each Laval nozzle is intersected with the central axis of the spray disc at the same point. Through the airflow with ultrasonic velocity, ultralow temperature and large velocity pressure generated by the nozzle in the metal atomizing device, the liquid metal or alloy is directly crushed, or rapidly cooled into atomized powder and then depolymerized by a fluidized bed and precisely graded by the precise grader to obtain metal fine powder and ultrafine powder with finer granularity, more even granularity and better granularity sphericity.

The invention belongs to the technical field of ore dressing and particularly relates to a specularite dust ore dressing technology. The specularite dust ore dressing technology is characterized by comprising an ore grinding and grading system and a magnetic separation and dressing system. The grade of input raw ore is 33%, and the granularity is 0-15 mm. The specularite dust ore dressing technology comprises specific steps that firstly, specularite dust ore passes through two segments of continuous closed circuits for grinding until specularite is dissociated from gangue monomers, wherein the ball mill-cyclone-fine screen closed circuit is adopted for each segment of ore grinding; the products of which the grading size is 0.074 mm, the grade is 33% and the productivity is 100% in the two segments of closed circuits for grinding are fed into a medium-intensity magnetic separator, a roughing vertical-ring high-intensity magnetic separator, a concentration vertical-ring high-intensity magnetic separator, a roughing flat-ring high-intensity magnetic separator, a concentration vertical-ring high-intensity magnetic separator and two segments of scavenging flat-ring high-intensity magnetic separators for magnetic separation. The grade of final iron ore concentrate can be improved to 50%-52%, and the recovery rate can be increased to 70%-72%. Accordingly, economic benefits of a dressing plant are greatly increased, and the loss of iron resources is lowered.

The invention provides an automatic fruit grading system based on fusion of multiple classifiers. The automatic fruit grading system comprises a plurality of image capturing units, a feature extracting unit, a plurality of fruit classifying units and a fusing unit, wherein the image capturing units are respectively used for capturing image information of a same fruit; the feature extracting unit is used for analyzing the image information provided by the image capturing units so as to obtain the feature information of the fruit; each of the fruit classifying units is used for classifying the fruit by adopting a respective predetermined neural network classifier according to the obtained feature information of the fruit; and the fusing unit is used for fusing the classifying results of the fruit classifying units on the basis of a predetermined fusion strategy so as to obtain a grade result of the fruit. The automatic fruit grading system has a simple and stable structure and can be applied to more industrial fields of agricultural fruit production.

The invention discloses a fresh oil tea fruit grading and shelling cleaner and method. The fresh oil tea fruit grading and shelling cleaner comprises a grading system, a shelling system and a cleaning system, wherein the grading system is a of nested structure including a fixed outer cylinder and a movable inner cylinder, the inner wall of the inner cylinder is provided with a guiding helix, round array holes are distributed in the cylindrical wall, the diameters of the array holes are increased in the motion direction of the helix, partition plates corresponding to diameter partition zones of the array holes are arranged in the outer cylinder, and low points in the areas among the partition plates are provided with corresponding-sized round holes. The shelling system is of a combined structure including a fixed cylinder and a disc-shaped knife board, the cylinder is free of an upper end cover to facilitate feeding, blades or a protruding structures are distributed on the knife board, and gaps distributed in an array mode are formed in a base plate of the cylinder facilitate discharging. The cleaning system is designed to be of a toothed smooth roll structure, the toothed smooth roll is arranged at a certain angle and rotate reversely, and the shell-seed separating purpose is achieved by combining a screen. The fresh oil tea fruit grading and shelling cleaner is mainly used for fresh oil tea fruit grading, shelling and cleaning.

The invention relates to a method and means of grading students. This invention is a software application utilizing profiling techniques that when combined or imbedded with available knowledge on the human learning experience will individually evaluate each student based on their current ability and capacity to learn, by subject. Student's tests are graded electronically against their personal ability and capability profile for grade. The profile system software is applicable to many learning situations requiring a measured outcome.

The invention provides a near space atmosphere environment detector and an operating method thereof. The detector comprises a load grade system and a booster grade system; the booster grade system comprises a rocket body structure, a booster grade control subsystem and a booster grade power mechanism; the booster grade control subsystem is used for detecting the attitude and motion information of the rocket body structure when the load grade system is separated, and then controls the operation of the booster grade power mechanism according to the attitude and motion information of the rocket body structure, and therefore backward-thrust braking is provided to make the rocket body structure land in the vertical direction; the load grade system comprises a payload bay carried with an environment detection instrument, a load grade control subsystem and a load grade power mechanism; the load grade control subsystem is used for controlling the load grade power mechanism to operate in dependence on detected attitude, height, motion and guidance information, control of flying trajectories of the payload bay, the load grade control subsystem and the load grade power mechanism is achieved, and at least two times of skip flying is achieved.

The invention provides a coal-gas-circulation coal whole-size-grading pyrolytic coupling hot-pressing formed coke preparation technique and system. Raw coal is divided into slack coal and pea coal by a raw coal preheating grading system; the coal gas generated by the method is used as a heat source for slack coal pyrolysis in a slack coal pyrolyzing furnace, and pyrolytic coal gas generated by slack coal pyrolysis is used as a heat source for pea coal pyrolysis; hot semicoke obtained after the slack coal and pea coal pyrolysis is used as a raw material for preparing the hot-pressing formed coke; and tar slag collected at the coal pyrolysis section is used instead of part of the adhesive for preparing the hot-pressing formed coke. The coal pyrolysis technique and hot-pressing formed coke preparation technique are coupled to produce the formed coke, thereby implementing graded utilization of coal and coke making of mill coal, saving the rare coke resources for the nation, and implementing high added value utilization of the product semicoke. The tar slag generated at the coal pyrolysis section is used as part of the adhesive instead of part of high-price coal pitch, thereby achieving the goal of waste reutilization. By using the hot semicoke as the raw material, the formed coke is formed under hot conditions, so that the heat utilization efficiency is high.

The invention discloses a medical image grading method and system based on a deep convolutional neural network. The method comprises the steps that an original fundus image is automatically partitioned into an optic disk image and an optic cup image; image green channel components are extracted; a histogram is utilized to correct extracted grayscale images in a balanced mode; the two features of acup-to-disk ratio and optic nerve fiber layer defects are extracted respectively; a deep convolutional neural network algorithm is used to train multiple sub-classifiers; and the sub-classifiers arecombined, and a final classification result is obtained through voting. By the adoption of the technical scheme, classification accuracy is remarkably improved, it is beneficial for reducing misdiagnosis, and therefore the practical value of the classifiers is raised.

The invention provides a wet method roller type disintegrating mill and a grading closed-circuit process thereof. The wet method roller type disintegrating mill comprises a millstone, milling rollers, a motor, a hydraulic system, a rocker arm, a striker plate and a material receiving groove. The milling rollers are located on the upper surface of the millstone and make contact with the millstone. The milling rollers are connected with the rocker arm. The rocker arm is connected with the hydraulic system. The millstone is connected with the motor through a transmission device. A grading device is connected to a material receiving pipe. The invention further provides an application method for the wet method roller type disintegrating mill. According to the wet method roller type disintegrating mill provided by the invention, the characteristics of a dry method roller type disintegrating mill and the process characteristics of wet method grading are combined, disintegrating milling is conducted through the high-pressure rollers under the condition that the water content of slurry concentration is 30%-70%, a wind grading system of the dry method roller type disintegrating mill is removed, and primary wet method grading is conducted through a baffle or a screen plate in the mill. The wet method roller type disintegrating mill and the grading closed-circuit process thereof are capable of meeting the beneficiation process technical requirements, improving the disintegrating milling efficiency and reducing the power consumption and steel consumption of disintegrating milling.

A system that compares, ranks, sorts and grades animals or carcasses into groups of like kinds according to previously determined predicted maximum values. For live animals, the system uses magnetic resonance imaging (MRI) on a single occasion to evaluate the animal and determine a number of days the animal must be fed to reach a maximum value. For carcasses, the system evaluates the carcass to grade the quality and quantity of meat the carcass will provide. The system also combines MRI imaging with a three-dimensional system to refine the number of days remaining for the animal to reach a maximum value, and the system, when used in a feedlot, will direct the animal to a feed pen based on the number of days remaining for the animal to reach maximum value.

A grading system (10) for grading marine animals such as fish (12) by size includes a receptacle (14) for holding a volume of water (16) and the fish (12). The receptacle (14) includes a landing (18) through which fish can enter and exit the receptacle (14). A grader (20) is supported to rotate through the water (16) about a horizontal axle (22). The grader (20) includes a first panel (24a) which is provided with a plurality of openings (26a) in the form of gaps between parallel radially extending rods (28). The panel (24a) has an outer peripheral edge (30) constituted by two radial edges (32a) and a lateral outer edge (34a) extending between the radial edges (32a). The outer peripheral edge (30) contacts or is sufficiently close to an inside surface (36) of the receptacle (14) to prevent the passage of fish (12) between the edge (30) and an inside surface (36) of the receptacle (14). As grader (20) is rotated in a clockwise direction (D) about the axle (22) to a first grading position where the lateral edge (34a) is adjacent the landing (18), the panel (24a) sweeps through the receptacle. The fish which are sufficiently small are able to pass through the openings (26a) leaving the larger fish in front of the panel (24a). When the grader (20) reaches the first position, the only fish (12) in advance of the panel (24a) are those which are too big to pass through the openings (26a). These are now directed through the landing (18) out of the receptacle (14).

The invention relates to a high-pressure rolling and magnetic-gravity separation process for lean hematite. The high-pressure rolling and magnetic-gravity separation process for lean hematite is characterized by comprising the following steps that after raw ore particles with the particle size of 0-300 mm are subjected to the coarse crushing and intermediate crushing screening operation, the product particle size is 0-35 mm; after the particles pass through a high-pressure roll mill and a wind grading system, the large-particle-size products subjected to wind grading return to the high-pressure roll mill, the small-particle-size products subjected to wind grinding and with the 200-mesh sieve sieving rate being 90%-95% are fed to the technical procedures with low intensity magnetism, high intensity magnetism and a centrifugal machine so as to be graded; concentrate obtained through low intensity magnetic separation and concentrate obtained through the centrifugal machine are combined into final concentrate with the grade being 66.5%-67.5% and the yield being 27%-29%; and the grade of tailings of high intensity magnetic separation is 8.3%-8.8%, the grade of tailings of two-stage scavenging centrifuge is 16%-18%, and the tailings of high intensity magnetic separation and the tailings of two-stage scavenging centrifuge are combined into final tailings with the grade being 10.50%-11% and the yield being 61%-63%. The high-pressure rolling and magnetic-gravity separation process for lean hematite has the advantages that original fine crushing operation and two-stage grinding operation are omitted, the products with the 200-mesh sieve sieving rate being 90%-95% can be directly obtained by the adoption of the high-pressure roll mill and the wind grading system, the process structure is simplified, and the ore separation cost is reduced significantly.