39results about How to "Implementation description" patented technology

The invention provides a modeling method for a dynamic model of a modular multi-level convector. The method comprises the following steps of establishing an upper bridge single submodule switch period average model and an upper bridge arm single submodule small signal communication model; establishing an upper bridge arm switch period average model and an upper bridge arm small signal communication model; establishing a lower bridge arm switch period average model and a lower bridge arm small signal communication model; establishing a lower bridge single submodule switch period average model and a lower bridge arm single submodule small signal communication model; and establishing a modular multi-level convector switch period average module and a modular multi-level convector small signal module. The established dynamic model of the modular multi-level convector facilitates analysis on a dynamic property and a frequency response characteristic of the modular multi-level converter, facilitates cascade control strategy design of the device, and achieves description of internal state quantity.

The invention discloses a waist device with hip joint parameter measurement applicable to an exoskeleton auxiliary support robot. The waist device is of a bilaterally symmetrical structure, the waistline width of a waist can be adjusted by different combinations of three sets of small holes formed in a left adjusting block and a right adjusting block; connection between each adjusting block and a waist bent plate and free left-right swing of the waist are achieved by two pairs of clamping plates and two rotating shafts; front-back swing of a thigh is achieved through the bent plate connected with a hip joint, and the measurement of the swing amplitude of the thigh is achieved by an angular displacement sensor. Connection between a flexing rod and a thigh expansion rod is of a spherical hinge structure, so that the thigh can swing more flexibly in random direction, the waist device is suitable for being worn by a human body, can keep moving flexible and is simple in structure. The exoskeleton auxiliary support robot provided with the waist device provided by the invention can help a user to support loaded weight.

The invention discloses an image sorting method based on local colors and distribution characteristics of characteristic points, which mainly solves the problem of the poor effectiveness of image characteristic description and the ambiguity in image understanding in the prior art. The method comprises the following steps of: firstly, performing scale normalization and rotation normalization on the image, and detecting characteristic points; then, dividing the normalized image into a series of fan-shaped sub-regions with unequal acreage according to the distribution of the characteristic points, and extracting the local colors and the space distribution characteristics of the characteristic points in each sub-region, generating a characteristic vector, measuring the similarity and orderingthe sub-regions; taking the image as a multi-instance package to obtaining characteristics of a target image through a multi-instance learning method; and finally, recalculating the similarity, and outputting the sorting result. The method not only improves the effectiveness of the image characteristic description, but also reduces the ambiguity in the process of sorting out the images, so that the method can sort out internet images more accurately, and can be used for searching image information in the internet.

The invention discloses a method for compensating a system in real time by using a hysteresis inversion model in the technical field of control, which comprises the following steps: acquiring input and output signals of a hysteresis system in real time, establishing a hysteresis model for one-to-one mapping between the input and output of the hysteresis system and determining parameters of the established hysteresis model; establishing the hysteresis inversion model of the system according to the input and output signals and the established hysteresis model, obtaining an analytical expression of the hysteresis inversion model and determining the parameters of the hysteresis inversion model; and designing a hysteresis inversion model compensation controller according to the analytical expression of the established hysteresis inversion model and realizing the real-time compensation of the system by using the hysteresis inversion model so as to fulfill the aim of eliminating hysteresis nonlinearity and realize the linearity of the input and output signals. The method has the advantages of simple form, fewer required parameters and favorableness for the real-time design of the hysteresis compensation controller; and a practicable compensation scheme is provided for the high-speed and high-bandwidth positioning and tracking application of the hysteresis system comprising an intelligent material driver.

The invention relates to the field of computer assistance, and provides a false tooth restoration scheme design method and system based on data decision. The method comprises the following steps: S1,establishing a dentition condition database and a false tooth restoration scheme database; S2, detecting the conditions of all the current teeth to obtain detected current dentition data; S3, analyzing the data of the flag bits of each tooth number in sequence according to the collected current dentition data, and analyzing all the flag bits to obtain a preliminary denture restoration numbering scheme; And S4, further determining whether secondary data adjustment and scheme alternative need to be carried out or not, and obtaining a final false tooth repair design scheme. According to the technical scheme provided by the invention, the digital logic basis of false tooth design is favorably provided from the perspective of data analysis and decision making; A scheme for automatically designing denture restoration is established through a data decision method, a pre-restoration recommendation scheme is automatically given, clinicians are assisted in scheme making and correction, and the workload of large hospital doctors is reduced.

The invention relates to a gesture recognition method based on an image space pyramid bag of features. The method comprises the following steps of carrying out gesture division of an image with a gesture; extracting and describing features of the divided gesture image; using extracted features to train a histogram intersection core support vector machine; obtaining a gesture type to which a feature vector of the gesture image belongs according to the support vector machine, in order to achieve gesture recognition. The method combines a space pyramid algorithm and a bag of features algorithm, and describes features of overall quantity and distribution of feature points of the gesture image. By means of the histogram intersection core support vector machine, classification of gesture features is achieved, and gesture recognition is achieved further. In addition, the rate of recognizing gestures of multiple similar types is improved.

The invention relates to a universal on-machine non-contact calibration method for eccentric parameters of a milling cutter. The method comprises the following steps of establishing a universal geometrical parameter representing mathematic model of an integral milling cutter and a machine clamped milling cutter; then carrying out quantitative description on the eccentric state of a tool by means of three states such as spin axis deflection, geometrical axis deflection and end edge eccentricity of the tool and seven independent parameters; and carrying out non-contact measurement on a target distance of a cutter tooth segment of the tool mounted on a spindle of a machine tool by using an electrical vortex sensor to obtain variable quantities of actual cutting diameters of cutting points ofdifferent blades on different cutter teeth of the tool at different axial heights so as to calibrate the eccentric parameters (including geometrical axis deflection of side edge, spin axis deflectionof the side edge and end edge eccentricity of the tool) of the tool in a rotating state of the spindle by combining a numerical optimization method. The method is better in universality and accuracy,can calibrate the eccentric state of the tool quickly and accurately on-machine, and is convenient to use in an enterprise machining site.

In order to solve the problems that an existing remote sensing image description method cannot make full use of annotations in a database and cannot be effectively applied in some complex scenes, theinvention provides a remote sensing image description method based on joint potential semantic embedding. The method comprises the following steps: 1) constructing a training sample set and a test sample set; 2) carrying out joint expression on an original remote sensing image in the training sample set and a corresponding labeled text; 3) learning a potential semantic space; and 4) generating description of the remote sensing image. According to the method, joint text feature extraction is carried out on five annotated texts describing an original remote sensing image, information in different annotated texts is synthesized, and contents contained in the original remote sensing image are completely corresponding to the greatest extent; adding constraint expression to obtain a sample pairwith the closest distance between the combined text feature and the remote sensing image feature; and finally, the remote sensing image is jointly described by using five annotations contained in thejoint text features, so that the remote sensing image is more sufficiently described.

The invention provides an object data organization method. According to the natural attribute of an object, a to-be-described object is classified into a corresponding class so as to distribute a predefined categorical attribute corresponding to a related class to a data record, and the data record is related with the natural attribute of the to-be-described object to complete instantiation. The instantiated data record of the to-be-described object is subjected to data updating, the unstructured data related with the to-be-described object is defined as membership information of the to-be-described object in a measuring point, and the membership information containing the unstructured data is stored in a database in which the corresponding data record is located based on time attributes and / or spatial attributes. By enriching data of data members, various complicated functions can be achieved in the process that a user monitors and manages system configuration, the method is a technical solution with a perfect combination of the structural data and the unstructured data, and the technical solution is achieved by means of configuration, and various professional products are fused without the use of an advanced language programming mode.

The invention discloses an animation data organization method based on sketch interaction. The method comprises the steps of (1) establishing a sketch cognitive model for animation data sketch representation and building a sketch user interface for animation data management based on the sketch cognitive model, (2) defining the relationship between animation data based on a semantic net model and aresource description framework RDF by the sketch user interface and establishing an interaction primitive describing the relationship of the animation data, (3) establishing a context model of the animation data based on the semantic relationship between the context-awareness technology and the animation data, (4) editing the context model of the animation data by the sketch user interface to realize the organization of the animation data. The animation data is efficiently described and organized, an efficient interaction mode is provided for the retrieval and reuse of the animation data during animation creation, and the process of interactive animation generation is accelerated.

The invention provides a quantitative analysis result output method and apparatus of esophagus cancer lymph node metastasis. The quantitative analysis result output method of esophagus cancer lymph node metastasis includes the steps: establishing a lymph node database, performing image analysis and feature recognition on the data in a training set, calculating the likelihood ratio, and estimatingthe pre-test probability; using the data after image analysis and feature recognition and the likelihood ratio to perform index screening, and using the preliminary screening data and the estimated pre-test probability to calculate the post-test probability; establishing a discrimination model according to the preliminary screening data and the post-test probability; substituting the data in the test set into the discrimination model, and if the expected goal is achieved, establishing a quantitative analysis model for esophageal cancer lymph node metastasis; if the expected goal is not achieved, correcting the discrimination model and testing again until the expected goal is achieved, and establishing a quantitative analysis model for esophageal cancer lymph node metastasis; and substituting the lymph node data of the lymph node to be analyzed into the analysis model, obtaining a quantitative analysis result of esophageal cancer lymph node metastasis of the lymph node to be analyzed through calculation and outputting the quantitative analysis result.

The invention discloses an XML-based multi-source heterogeneous data integration system. The system comprises an application service layer, a data service interface layer, a data source integration layer and a database system layer; the application service layer realizes expansion of different user applications through an interface provided by the data service interface layer; the data service interface layer realizes real-time interaction operation with the data source integration layer and acquisition of feedback result data, and provides a proper API for the outside; the data source integration layer is used for shielding specific implementation details of distributed data source acquisition operation and responding to an operation request proposed by the data service interface layer; and the database system layer is actually composed of a plurality of relational databases with adjacent or non-adjacent physical positions and is used for providing multi-source heterogeneous data information required by the system.

The embodiment of the invention provides a customer label configuration method and system, a readable storage medium and an electronic device. The method comprises the steps of obtaining the target basic index data from a plurality of basic index data according to an analysis demand, and configuring the customer label information of a customer based on a label template and the target basic index data; according to the analysis demand, obtaining the target base indicator data, and according to the target basic index data and the label template and the target basic index corresponding to the analysis demand, configuring to obtain the customer label information of the customer, so that the individuation of the customer label configuration is realized, and the obtained customer label information accurately indexes the operation data of the customer so as to describe the operation condition of the customer.

The invention discloses an embedded software defect repairing method based on access behavior perception. The embedded software defect repairing method comprises the following steps of modeling on symptoms of equipment access defects; classifying equipment access defects, and constructing a repair template; clustering the code snippets related to hardware equipment access; carrying out defect statement positioning on the source program to be repaired; judging whether the code contains an equipment access behavior or not; for the code containing the equipment access behavior, judging whether the behavior characteristics of the code have defect symptoms or not, determining a defect type, and selecting a repair template according to the defect type; comparing the defect code with the clustering result, and calculating the distance between the defect code and each clustering center; selecting a category of which the clustering center is closest to the defect code as a repair material code,and synthesizing a candidate repair patch code; and sorting the repaired code segments according to the behavior similarity. According to the method, automatic repair of embedded software defects canbe realized according to equipment access behavior characteristics.

The embodiment of the invention provides a frame insertion method and device. The method comprises the following steps: determining a frame insertion position between a first image frame and a second image frame; and determining deformation information between the first image frame and the second image frame and shielding information between the first image frame and the second image frame according to the first image frame and the second image frame. And determining an intermediate image frame between the first image frame and the second image frame according to the frame insertion position, the deformation information, the first image frame and the second image frame. And determining a frame insertion image frame corresponding to the frame insertion position according to the shielding information and the intermediate image frame, and inserting the frame insertion image frame at the frame insertion position. According to the method and the device, each frame insertion position is processed according to the deformation information and the shielding information between the image frames to determine the frame insertion image frame corresponding to each frame insertion position between the first image frame and the second image frame, so that the frame insertion effect of performing frame insertion on the image frames can be effectively ensured.

The invention discloses a weight adaptive pose estimation method based on point-line fusion. According to the method, a point-line fusion algorithm is used for carrying out feature extraction and matching on the environment, and description of the environment is achieved. By using the point-line fusion algorithm, the adaptability and robustness to the environment are improved, and the descriptiveproperty to the environment is also improved while the environment characteristics can be stably extracted in various complex environments. A region division and region growth mode is adopted to adaptto distribution conditions and density degrees of point features and line feature endpoints, and then weight distribution of the point features and the line feature endpoints in a grid after growth is adjusted in a self-adaptive mode, so that the influence of uneven feature distribution on pose estimation is reduced to the greatest extent. According to the method, the reprojection error of the line feature is calculated by calculating the distances from the two endpoints of the projection line segment to the corresponding detection straight lines, so that the calculation of the reprojection error of the line feature is divided into two parts, the two endpoints do not interfere with each other in different grids, and the description precision of the reprojection error of the line feature is improved.

The invention discloses an image approximation based on extended smoothlets (ExSoothlets) transformation. The smoothlets transformation realizes a description on a transition zone by employing a translation edge curve along a horizontal or vertical direction. However, in actual applications, many edges cannot be obtained by horizontal or vertical translation; and at this moment, the smoothlets is difficult to express an image accurately. According to the image approximation method disclosed by the invention, the ExSoothlets transformation is realized by establishing a more generalized curve model and defining a direction function of the transition zone. The ExSoothlets translates the curve according to the direction function; and parameters of the transition zone are determined by distances from points inside the transition zone to the edge curve. Compared with the smoothlets transformation, the image approximation method disclosed by the invention can express the image better; and the image approximation accuracy is improved.

The invention relates to method for estimating the parameters of ZnO-varistor-equivalent circuit model based on FDS, belonging to the technical field of lightning arrester model. The method comprisesthe following steps. S1: The measuring instrument of frequency domain dielectric spectroscopy (FDS) and the ZnO varistors are prepared as a part of the experiment platform. S2: The parameters are properly set on the measuring instrument of frequency domain dielectric spectrum. S3: The FDS of the ZnO varistors are measured multiple times until the final results are obtained. S4: The complex impedance of the equivalent model is calculated using ZnO-varistor-equivalent polarized circuit model. S5: The parameter function of the equivalent model is optimized based on the measured FDS data of ZnO varistors and the results calculated by the model. S6: The iterative calculation on the optimized parameter function is performed using genetic algorithm to finalize the parameter estimation for the equivalent model. The method of the invention satisfactorily describes the dielectric response of ZnO varistors, and remediates the insufficient explanations by R C parallel model and the IEEE model on the microscopic behavior of ZnO varistors in terms of polarization and electric conductance among others.

The invention relates to an integrated automation substation monitoring system based on an SCD model and method. The system comprises a human-computer interaction module, a network communication module and a monitoring module, wherein the human-computer interaction module is used for acquiring the integrated automation substation SCD model and display of a detection result; the network communication module is used for connecting the human-computer interaction module and an integrated automation substation information monitoring interface; and the monitoring module is connected with the networkcommunication module for comparing the SCD model and a real-time MMS message acquired from the integrated automation substation information monitoring interface to acquire a monitoring result and sending the monitoring result to the human-computer interaction module through the network communication module. In comparison with the prior art, quick and convenient monitoring on the integrated automation substation can be realized, and the monitoring result is accurate.

The invention discloses a foot device with ankle joint parameter measurement suitable for an exoskeleton auxiliary supporting robot. The foot device is characterized in that plane hooke two-DOF (Degree Of Freedom) structures of ankle joints are realized due to the matching of upper supports, lower supports, two rotating shafts and four bearings, wherein the lower supports are arranged on soles, the lower supports are provided with angular displacement sensors, thus rotating angles of the ankle joints can be measured, and the measuring requirement of a robot on angular displacements of the ankle joints can be met; shank telescopic rods are inserted into the upper supports, front and rear rotating shafts, bearing end covers and bearings are fixedly arranged in lugs of the upper supports, the front and rear rotating DOF of ankles can be realized, and the angle measuring can be realized through the angular displacement sensors which are arranged on the front and rear rotating shafts; left and right rotating shafts are inserted into the lower supports for being fixed, the axes of the front and rear rotating shafts are maintained to be vertical to the axes of the left and right rotating shafts, and the left and right swinging DOF of the ankles can be realized; pressure sensors are arranged among front feet, rear feet and the soles, the front feet and the rear feet are fixedly connected with the soles, the soles are in contact with the ground, plantar pressure is changed when a person walks, a walking intention of the person can be judged through the detecting of the pressure sensors, and the good control of the exoskeleton auxiliary supporting robot can be realized.

The present invention discloses a method and a device for achieving numerical simulation of soil. The method comprises the following steps: obtaining a two-dimensional scanned image of a soil sample;obtaining a three-dimensional image of the soil by carrying out three-dimensional reconstruction on the two-dimensional scanned image, and displaying a porous medium three-dimensional structure of thesoil through the three-dimensional image of the soil; obtaining the three-dimensional distribution of mineral composition in the porous medium three-dimensional structure of the soil, according to the radiation attenuation change indicated via a pixel point in the two-dimensional scanned image; and further adopting the Boltzmann grid method to accurately simulate the permeability coefficient andthe flow distribution of the pollutant NAPL, thereby obtaining a soil structure and achieving the description of the soil. Hereon, due to the two-dimensional scanned image of the soil sample and three-dimensional reconstruction therewith, the permeability coefficient and the flow distribution of the pollutant NAPL can be accurately simulated based on the obtained soil three-dimensional real structure, so that the soil can be described accurately and quickly. The method and the device for achieving numerical simulation of soil are easy to popularize and apply, and further assist in the soil remediation technology.

The invention discloses an image sorting method based on local colors and distribution characteristics of characteristic points, which mainly solves the problem of the poor effectiveness of image characteristic description and the ambiguity in image understanding in the prior art. The method comprises the following steps of: firstly, performing scale normalization and rotation normalization on the image, and detecting characteristic points; then, dividing the normalized image into a series of fan-shaped sub-regions with unequal acreage according to the distribution of the characteristic points, and extracting the local colors and the space distribution characteristics of the characteristic points in each sub-region, generating a characteristic vector, measuring the similarity and orderingthe sub-regions; taking the image as a multi-instance package to obtaining characteristics of a target image through a multi-instance learning method; and finally, recalculating the similarity, and outputting the sorting result. The method not only improves the effectiveness of the image characteristic description, but also reduces the ambiguity in the process of sorting out the images, so that the method can sort out internet images more accurately, and can be used for searching image information in the internet.

The invention discloses an animation data organization method based on sketch interaction. The method comprises the steps of (1) establishing a sketch cognitive model for animation data sketch representation and building a sketch user interface for animation data management based on the sketch cognitive model, (2) defining the relationship between animation data based on a semantic net model and aresource description framework RDF by the sketch user interface and establishing an interaction primitive describing the relationship of the animation data, (3) establishing a context model of the animation data based on the semantic relationship between the context-awareness technology and the animation data, (4) editing the context model of the animation data by the sketch user interface to realize the organization of the animation data. The animation data is efficiently described and organized, an efficient interaction mode is provided for the retrieval and reuse of the animation data during animation creation, and the process of interactive animation generation is accelerated.

The invention discloses an image approximation based on Extended Smoothlets (ExSmoothlets) transformation. The Smoothlets transformation is to realize the description of the transition zone along the horizontal or vertical direction by using translational edge curves. However, in practical applications, many edges cannot be obtained by horizontal or vertical translation. At this time, it is difficult for Smoothlets to accurately express the image. The invention realizes the ExSmoothlets transformation by establishing a more generalized curve model and defining a transition zone direction function. ExSmoothlets translates the curve according to the direction function, and the parameters of the transition zone are determined by the distance from the point inside the transition zone to the edge curve. Compared with the Smoothlets transformation, the invention can better express the image and improve the image approximation accuracy.

The invention discloses a large and small leg device with knee joint parameter measurement suitable for an exoskeleton auxiliary support robot. The device uses a hydraulic cylinder to drive the knee joint, which improves the response speed and bearing capacity of the exoskeleton auxiliary support robot; The rod is connected with the thigh, and the lower leg is connected with the foot through the telescopic rod. One end of the hydraulic cylinder is connected to the thigh through a bracket, a pin shaft and a joint bearing, and the piston rod end is connected to the lower leg through a hydraulic cylinder connector. The knee joint is the connecting part between the thigh and the lower leg. The sensor is used to measure the angular displacement of the knee joint to realize the exoskeleton. Follow the motion control of the human knee joint. In the robot designed by the present invention, only the knee joint is controlled by the hydraulic cylinder, and the rest of the joints are used to adapt to the requirements of human leg joint movement, including the hip joint, ankle joint and plantar structure where sensors are installed, and also include the side swing of the waist, thigh ball joints etc. The robot of the present invention simulates the structural characteristics of the human body, is suitable for wearing by the human body, maintains flexible movement, has a simple structure, and can help users support the load weight.