76results about How to "Avoid imperfection" patented technology

An anatomical compression system to facilitate a faster rehabilitation of a patient after a liposuction treatment or other treatment for enhancing the body shape. The anatomical system comprises a plurality of compression pads designed with a form-fitting shape for fitting perfectly predetermined body areas to apply properly compression forces to said body areas on which a liposuction treatment has been performed. The compression pads have one or more reinforcement sections specially disposed at specific locations to overlie body areas so as to cause compression to said body areas traumatized after a liposuction surgery. The objective of compressing the affected body areas is to minimize the amount of swelling following the liposuction surgery and therefore control the volume of the treated area to reach a desirable result.

The tracker is formed by a structure (3) bearing a platform (1) carrying the solar panels (2) that varies both the azimuth and elevation orientation thereof in order to track the sun. This movement is achieved by means of two actuators (4) connected respectively to fixed points (P1^o, P2^o) on the ground and other vertices (P1, P2) of the platform (1), thereby causing the platform to rotate around a central support point “O” of the same. The distances (D1, D2) between the points which join the actuators (4) have a one-to-one relation with the rotation angles (β, α) of the platform (1) around both perpendicular axes: an oblique fixed axis (O-Cl) and another axis (0-Az) that angularly varies the inclination thereof with respect to the first.

The invention provides an emergency aid decision making system based on a GIS and a BIM. According to the method, a GIS and a BIM are combined to realize interconnection and mutual homogeneity on a data level, a unified multi-scale open-pit mine area three-dimensional display platform is constructed, an emergency rescue management system based on the GIS is constructed, BIM model pipeline data isfused, and a risk management and emergency rescue aid decision making system is constructed. According to the method, two spatial information technologies of GIS and BIM are combined, interconnectionand mutual homogeneity of the two technologies on the data level are achieved, quantitative analysis is conducted on the strip mine area, and a designer is assisted in planning the strip mine area. Original data of a project site can be well stored for a designer, and the data can have a good supporting effect on later-period management such as planning, construction and operation maintenance.

The invention relates to a specific group discovery and expansion method based on microblog data, and belongs to the field of social network analysis and data mining. The specific group discovery and expansion method comprises the following specific steps: collecting relevant group information; carrying out information integration and mapping; aiming at text data to carry out characteristic extraction; calculating a user similarity degree; carrying out the self-detection of a category group; and extracting the attributes of the specific group, judging a category, and carrying out group expansion. The specific group discovery and expansion method artfully avoids the problem that group identification can not be carried out since data is sparse or incomplete when a network model is used, inputs large-scale data calculation and is high in stability.

The invention provides a new energy relay protection intelligent checking and early warning system based on the OCR technology. The system comprises a constant value identification module, a parameterchecking module and a constant value checking module which are connected in sequence, wherein the constant value identification module is used for carrying out information acquisition of a relay protection constant value list based on the OCR technology to obtain a constant value list in a standard data format, the parameter checking module is used for collecting and checking each parameter and constructing an anti-error mechanism, and the constant value checking module is used for performing checking and early warning of the constant value outputted by the constant value identification module. The system is advantaged in that granular information collection of the relay protection constant value list is performed based on the OCR technology, accuracy of the constant value is controlled from a source of the device, problems existing in relay protection constant value setting in a station are solved, by setting intelligent checking, an early warning function is realized, the safety risk of the relay protection setting value is reduced, efficient and safe network access operation of new energy is powerfully guaranteed, and problems in network-related setting value checking in the prior art are solved.

The present invention discloses a method for extracting expression information of characters in calligraphy work, belonging to the field of image processing. According to the method, a color space in the calligraphy work to be processed is converted, then the type of the calligraphy work to be processed, which has been converted, is distinguished according to a first channel threshold, and processing is performed according to a distinguishing result indicating that the converted calligraphy work to be processed is a tablet image or a copybook image, so as to obtain an image of character profile information in the tablet image and images of character profile and expression information as well as stamp profile and expression information in the copybook image. The method of the present invention avoids the defect of uncomplete character information caused by edge detection in the prior art, increases detail expression of the detected character information, and improves convenience for research of calligraphy works.

A method and apparatus of calibrating I/Q mismatch of a communication circuit is disclosed. The disclosure employs I/Q test signals respectively including different frequency components to calibrate the frequency-dependent I/Q mismatch existing in the communication system.

The invention discloses an artificial intelligence prediction evaluation method and device, a computer readable storage medium and electronic equipment. A prediction result is obtained by inputting test data into a to-be-evaluated artificial intelligence model; the prediction result is compared with a standard result of the test data to obtain an evaluation result of the artificial intelligence model to be evaluated; and the prediction result and the standard result both comprise a plurality of parameter indexes, so that the artificial intelligence model to be evaluated can be comprehensivelyevaluated, the situation that the evaluation result is incomplete and non-objective due to a single parameter index is avoided, and the evaluation accuracy is further improved.

In order to solve the problems of imperfect surface defect detection information, low precision, low efficiency and the like, the invention provides a defect detection method based on a polarization structured light imaging technology and an improved Mask RCNN. The method comprises the following steps: firstly, combining polarization processing with structured light three-dimensional imaging to obtain a high-definition two-dimensional physical graph and three-dimensional space information of an object; performing median filtering processing on the two-dimensional physical graph; secondly, on the basis of a Mask RCNN target recognition method, adding a K-means algorithm to carry out clustering analysis on a training set, adding branches with side edge connection from top to bottom to an original FPN structure, and combining lower-layer high-resolution features and upper-layer high-resolution features to generate a new feature map; detecting an image with defects by utilizing the improved Mask RCNN network, and classifying, positioning and segmenting the defects; finally, obtaining a series of information such as the type, position, length, width, depth and area of the defect throughdata arrangement, achieving quantification of defect data, and the object surface defect detection precision and efficiency are effectively improved.

The present invention provides a vision measuring method of crankshaft crank eccentricity. The method comprises the steps of (1) making a standard shaft and calibrating a camera parameter, (2) obtaining a crankshaft part image, (3) analyzing and extracting crankshaft part image axis characteristic, (4) calculating a crankshaft crank eccentricity parameter, (5) repeating step (3) and step (4), completing the obtainment of the crank eccentricity parameters of ten groups of different crankshaft pose images, removing a maximum one and a minimum one in ten static data, and taking the average value of the remaining data as a final crank eccentricity value. The present invention also provides a vision measuring device of crankshaft crank eccentricity. The device comprises a rectangular-shaped frame formed by aluminum profile and a vertical camera and a horizontal camera arranged on the frame. According to the method and the device, the measurement time of the crank eccentricity is reduced, the measurement accuracy of the crank eccentricity is raised, the processing efficiency of a crankshaft production line is improved, and the measurement cost of the crank eccentricity is reduced at the same time.

The invention discloses an electric adjusting device with a scale regulator. The device comprises a threaded sleeve head, a joint, an upper cover, a shell and a gear transmission mechanism, wherein one end of the joint is clamped with one end of the threaded sleeve head, and the other end of the joint is arranged on the upper cover; the other end of the threaded sleeve head is connected with an electrically-adjustable antenna control port; the shell is fixed at the periphery of the bottom of the upper cover; the shell and the upper cover form a cavity which is used for supporting the gear transmission mechanism; the gear transmission mechanism is positioned in the cavity; one end of the gear transmission mechanism is inserted into a bottom hole of the electrically-adjustable antenna control port to control electrical downtilt, and the other end of the gear transmission mechanism drives a scale ring to rotate and indicates the electrical downtilt. The electric adjusting device with the scale regulator has the advantages that under the condition of small overall dimension, manual electric adjustment and angle indication functions of an electrically-adjustable antenna can be realized, angle reading accuracy is improved, an angle reading range is expanded, the working reliability and maintainability of the electrically-adjustable antenna are improved, and the electrical downtilt can be easily adjusted.

The invention discloses a graphene electricity and heat conductive coating and a preparation method thereof. The graphene electricity and heat conductive coating is composed of the following components in parts by weight: 1-10 parts of graphene, 2-5 parts of carbon nano tubes, 2-5 parts of sodium silicate, 1-3 parts of paint oil, 1-3 parts of tung oil, 0.3-1.5 parts of maleic anhydride, 3-5 partsof a dispersing agent, 1-3 parts of acrylic resin, 0.05-0.5 part of a composite drier, 1-3 parts of a coupling agent, 0.2-1 part of silicon dioxide, 0.2-1 part of a composite additive, 0.5-2 parts ofmodified cellulose, 1.5-2 parts of zeolite powder, 1-8 parts of heat-conducting metal powder and 40-60 parts of ethanol. The graphene electricity and heat conductive coating prepared by spraying and printing can be applied to the fields of semiconductor materials, conductive and heat-conducting composite materials and the like, and has relatively strong application value.

The invention discloses a high-efficiency uniform feeding, sieving and crushing system for polysilicon and monocrystalline silicon and a method thereof. The system comprises a material cabin, a feeding machine, a crushing machine, an electronic valve, an accumulation amount detecting device and a control sub-system. The feeding machine comprises a feeding box, a vibrating motor and a screen mesh.The feeding box is provided with a box opening facing an upper discharging hole. One end of the screen mesh is positioned below the box opening; and the other end of the screen mesh faces a discharging end. The vibrating motor is used for moving a silicon material to the other end of the screen mesh in one direction to fall into a lower discharging hole. The accumulation amount detecting device isused for detecting the accumulation amount of the silicon material. The control sub-system is used for reducing the opening/closing frequency or opening/closing amplitude of the electronic valve whenthe accumulation amount is greater than a first preset accumulation amount, and increasing the opening/closing frequency or opening/closing amplitude of the electronic valve when the accumulation amount is smaller than a second preset accumulation amount. According to the high-efficiency uniform feeding, sieving and crushing system for the polysilicon and monocrystalline silicon and the method thereof, the silicon material uniformly falls into the crushing machine for crushing; the overall production efficiency of crushing is improved; the rejection rate of the silicon material is reduced; and the particle size of the finally crushed silicon material is more uniform.

The invention relates to the field of novel electrothermal mateirals, and specifically relates to a graphene water-borne electrothermal film coating and a preparation method thereof. The coating comprises the following components: 40-60wt% of water-borne resin, 3-15wt% of nano graphene, 0.5-2.5wt% of mixture of calcium sulfate whisker and hydrogenated castor oil, 0.5-1.5wt% of polyaniline, 0.5-1.5wt% of polythiophene, 0.5-1.5wt% of a flatting agent, 0.5-1.5wt% of a defoaming agent, and 30-40wt% of water, totalling 100%. According to the coating, the mixture of calcium sulfate whisker and hydrogenated castor oil is added, so that the nano graphene can be prevented from agglomeration in the solution, and moreover, the defects of poor lapping of graphene laminates and incomplete power conducting and heat transferring network can be avoided, and as a result, the power conducting performance and the heating performance of the product can be improved.

The invention discloses a Mura defect detection method and a Mura defect detection device. The method comprises the following steps: executing multiple different image enhancement processing on a training sample image to obtain multiple training sample enhanced images corresponding to the training sample image; inputting the training sample enhanced image into a convolutional neural network modelfor training, and outputting a classification model; performing multiple image enhancement processing the same as the training sample image on the to-be-detected test sample image to obtain multiple test sample enhanced images; and inputting the enhanced image of the test sample into the classification model, and outputting a defect detection result. According to the method and device, multiple Mura defects can be effectively detected at the same time.

The invention discloses an intelligent positioning anti-theft system based on GPRS and the GPS and a signal transmission method of the intelligent positioning anti-theft system and belongs to the field of electronic detection communication. The Intelligent positioning anti-theft system based on the GPRS and the GPS comprises three parts, namely an intelligent positioning anti-theft host, a user terminal system and an article positioning system; the intelligent positioning anti-theft host is composed of a sensing unit, a conversion unit, a control unit, a communication unit and a power supply unit; the user terminal system is composed of a signal receiving and transmitting unit and a display operating unit, and the display operating unit comprises an alarm system; the article positioning system is an independent system solely composed of a positioning unit which has a communication function; signal transmission can be conducted in a mode of dual-bank one-way and manual two-way interaction communication or dual-bank one-way and automatic two-way interaction communication or dual-bank manual/automatic two-way interaction communication or signal transmission communication achieved through series connection closing of the three constituent parts. The intelligent positioning anti-theft system is low in cost, convenient to use, stable and reliable.

The invention belongs to the technical field of image recognition systems, and particularly relates to a northeast black fungus disease and insect pest image recognition system based on deep learning.The system comprises a camera module, a network data transmission module, a computer terminal, a data processing module, a deep learning image recognition module, a classification result processing module and an output module. The camera module is in electrical output connection with the network data transmission module; the network data transmission module is in electrical output connection withthe computer end; the computer terminal is in electrical output connection with the data processing module; the data processing module is in electrical output connection with the network data transmission module; the network data transmission module is in electrical output connection with the classification result processing module; and the classification result processing module is in electricaloutput connection with the output module. By means of the agaric disease and insect pest detection system and method, a more complete agaric disease and insect pest data set can be obtained, the over-fitting degree of the model is effectively avoided, and the training model can have better robustness and good detection performance.