108 results about "Fuzzy method" patented technology

The invention provides a vision-guided trajectory planning method on the basis of a Delta robot joint space. The method is applied to the optimal time motion of a Delta robot. The method comprises the following steps: solving a kinematic relation of the Delta robot; establishing an inverse kinematical equation for a motion from an end effector to each joint; acquiring a target position through an industrial intelligent camera; updating the target position on real time through an encoder; dividing a working area of the Delta robot into 9*13 subareas; planning the motion route of each joint at different areas through a B spline offline; maintaining smooth and continuous speed, acceleration and jerk; reducing the impact of a servo motor to a mechanical structure; improving the typical particle swarm optimization; speeding up to search time nodes with optimal solution by the fractional order particle swarm optimization in order to avoid local optimal solution; then performing the two-dimensional fuzzy method to select the optimal time node corresponding to the working area of the robot on line, and thus finishing control.

The invention discloses an embedded real-time scheduling method based on fuzzy multiple features of a task. Through initialization and the adjustment of a task scheduling priority, a task with a highest scheduling priority is selected to run according to a corresponding policy so as to carry out task scheduling, and compared with a conventional drive method of a shortest deadline distance, the method can realize a quite low deadline miss ratio and is particularly suitable for the existing embedded communication equipment. Compared with conventional embedded real-time system scheduling, the invention not only considers the factor of the multiple features of the task, but also adapts to the characteristic of uncertain running environment of communication network application by a fuzzy method. The method considers guaranteeing an important task to be preferentially run as far as possible so as to reduce the probability of missing a deadline and also considers that when the deadline of a general task is closer, the general task is put into run as soon as possible so as to improve the utilization rate of the whole system.

The invention discloses an electroencephalogram signal recognition fuzzy system and method with the transfer learning ability. In a traditional intelligent recognition method, a training set and a testing set of a model are assumed to conform to the same data distribution, and therefore the good classification performance can be obtained only when data in a training domain and data in a testing domain conform to the same distribution. The electroencephalogram signal recognition fuzzy method helps epileptic electroencephalogram signal recognition under the transfer learning environment by means of the transfer learning strategy. The 0-order TSK type fuzzy system modeling technology with the direct-pushing type transfer learning ability is built based on the fuzzy system. The technology has the transfer learning ability and is not confined to the assumption of the uniform data distribution of the training domain and the testing domain, a certain difference is allowed to exist between the data in the training domain and the data in the testing domain, the good performance is kept on the condition of the same data distribution of the training domain and the testing domain, and the recognition effect of the finally-obtained model under the diversified electroencephalogram signal recognition problems is greatly improved.

The invention relates to a laser image linear feature extraction method. On the basis of a split-and-merge method, the efficiency of the method is improved through adaptive neighbor point set detection, line segment cutting is carried out with the use of a split-and-merge fuzzy method to improve the sensitivity of the method to parameters, and finally, a least square method is adopted to fit parameters under a polar coordinate system of each line segment in an environment. The method comprises the four major steps of neighbor point set detection, line segment cutting, least square linear fitting and linear fitting error calculation. The method implementation result shows that: when a line segment contains a large number of points, the result is accurate, the vast majority of line error is very small, the polar radius error is less than 1mm, the angle error is less than 0.01rad, and the fitting effect is good. Compared with a traditional straight line extraction method, the linear feature extraction method based on the laser sensor has the following advantages: (1) the number of iteration times of the method is reduced and the efficiency of the method is improved; (2) the robustness of the method is greatly improved; and (3) the line segment extraction precision is improved.

The disclosure relates to a background fuzzy method and apparatus and a terminal device. The method comprises: obtaining a plurality of windows contained in an application; determining a background window and a foreground window in the windows; performing fuzzy processing on the background window; and superposing the foreground window and the background window subjected to the fuzzy processing to obtain a user interface of the application, and displaying the user interface of the application. According to the scheme, the background window is subjected to the fuzzy processing, so that the contrast of a background and a foreground of the user interface is increased; and the foreground is obvious to display and relatively high in readability, so that foreground information can be clearly and effectively showed for users and user experience is improved.

The invention discloses a rapid detection fuzzy method of a face in a street view image. The method comprises the following steps of: removing a region which does not contain a face region; detecting a standby region of the face according to an Adaboost detection algorithm of a Harr-like characteristic; setting a certain restriction condition according to shape and color characteristics of the face to remove a non-face region; and carrying out smooth fuzzy treatment in horizontal and vertical directions on all the face regions to obtain a result image. According to the rapid detection fuzzy method disclosed by the invention, a skin color detection method based on bayesian statistics and a human shoulder image detection method based on an HOG (Histogram of Oriented Gradient) characteristic are introduced to remove the non-face region; and a rapid and robust face detection algorithm is provided based on the Harr-like characteristic and the shape and skin color characteristics of the face region. According to the rapid detection fuzzy method disclosed by the invention, horizontal and vertical templates are ingeniously utilized to carry out the smooth fuzzy treatment on the face region, so that the fuzzy effect is guaranteed and the processing speed is greatly improved.

An AHP-entropy weight method-based channel traffic safety risk assessment method disclosed by the present invention comprises the following steps of S1 determining the channel traffic safety risk factors, based on the three factors of the ship, the environment and the management, constructing a channel traffic safety risk assessment index system which is divided into a target layer, a criterion layer and an index layer; S2 according to an AHP method, calculating the weight of the index layer relative to the target layer, and verifying the overall consistency, and then calculating the index weight according to an entropy weight method, and carrying out the combination weighting calculation according to a CWM method to obtain the index comprehensive weight; S3 determining a channel traffic safety risk level characteristic value according to a variable fuzzy method. According to the present invention, by constructing the channel traffic safety risk assessment index system, the safety riskassessment aiming at the channel water area is realized, based on the risk assessment results, the management and control resources are distributed reasonably, and finally, the channel traffic accidents are reduced and avoided.

The invention discloses a red paddy soil fertility evaluation method with relative yield considered. The method comprises the following steps: (1) main indicators for paddy soil fertility quality evaluation are defined and classified, and 13 evaluation indicators are divided to five classes; (2) a calculation method is defined: a, membership is calculated, b, the weight coefficient of each singlefertility quality indicator is calculated, and c, a comprehensive fertility indicator is calculated; and (3) result accuracy is defined. According to the evaluation method with relative yield considered provided in the invention, the contradiction between a soil fertility level and rice yield performance when the traditional FUZZY method is used to evaluate the soil fertility can be solved, for example, a high soil fertility indicator is acquired by FUZZY, however, due to unreasonable management, the rice yield is low, or, a low soil fertility indicator is acquired by FUZZY, however, due to anenhanced management level, the rice yield is high. Compared with the FUZZY method, the method with the yield considered is more credible, accurate and subjective, and the application prospect is wide.

The invention relates to a fuzzy query method, which comprises the following steps of: creating a global indexes for a database table based on the mapping relationship between preset index values and data items; sequencing the global indexes; obtaining query keywords, and finding an index interval matched with a query keyword by interval dichotomy; and obtaining the index values in the index interval, obtaining the data items corresponding to the index values based on the mapping relationship, and returning the data items as query results. With the fuzzy query method and system, the low time complexity advantage of a binary search method can be well utilized, and the higher retrieval speed can be exchanged at the expense of a small amount of space complexity, thus the retrieval efficiency is improved.

The present invention discloses an adaptive image fusion method based on chromaticity coordinates. The realization processes of the method comprise firstly obtaining the chromaticity coordinate mean values of a foreground image and a background image; secondly, modifying the R, G and B values of each pixel in the foreground image according to the chromaticity coordinate mean values of the foreground image and the background image; then utilizing a Gauss fuzzy algorithm to obtain the weighting coefficients of the edges of the foreground image, and carrying out the gradient weighted fusion on the foreground image and the background image at the foreground edges. According to the algorithm given out by the present invention, the brightness and the chromaticity of the foreground image can be adjusted adaptively according to the background image, on the condition that the foreground and background colors and brightness have greater difference, the situations that the synthetic images are clear, and the foreground color and brightness do not distort, can be kept, and the situation that the edge synthesis of the foreground image is excessively natural can be guaranteed by utilizing a Gauss fuzzy method to obtain the weighting coefficients of the edges of the foreground image and utilizing the gradient weighted fusion processing. Relative to a Poisson image fusion algorithm, the method of the present invention has a lower calculation complexity and can be widely used in some mobile terminal programs of limited hardware resources.

The invention relates to a parallel system designing and performance optimizing technology of a high-performance computer, in particular to a parallel application performance vulnerability analyzing method and system based on fuzzy rule reasoning. The analyzing method comprises the steps of: firstly, abstracting various conditions causing low efficiency of parallel program performance to obtain a parallel program performance characteristic mode, and constructing a parallel program performance vulnerability characteristic mode reasoning rule base; secondly, extracting trace file characteristics by adopting a reset-based parallel trace analyzing method, and recognizing required characteristics to generate a characteristic file; and finally, introducing a fuzzy mathematical method into production rule definition and reasoning, automatically searching a characteristic mode of an event trace by adopting a fuzzy method-based matching mechanism, realizing matching and finding of the characteristic mode, finding and positioning a parallel program performance vulnerability, and providing aid decision making for the work of further optimizing the performance of the parallel system of the computer. The system mainly comprises a reasoning machine module, a knowledge base, a characteristic extraction module, a synthesis database and a user interface module.

The invention discloses a vehicle anti-collision early warning method based on an analytic hierarchy process and grey fuzziness. The problem that the safety distance is not accurate in the prior art is mainly solved. The method comprises the implementation steps that first, an analytic hierarchy process structure of a vehicle safety distance is established, and the weight vectors of all levels of influence factors are calculated; second, a grey fuzzy method is used for calculating the evaluation value of an index level influence factor; third, the accelerated speed of a vehicle and the reaction time of a driver are corrected according to the evaluation value of the index level influence factor; fourth, a kinematic formula of the vehicle is used for calculating the absolute safety distance and the relative safety distance of the vehicle; fifth, early warning levels are divided according to the absolute safety distance, the relative safety distance and the vehicle distance detected by a sensor. According to the vehicle anti-collision early warning method based on the analytic hierarchy process and the grey fuzziness, the influences of human factors, vehicle factors, road factors and environment factors on the vehicle safety distance are comprehensively considered, an anti-collision early warning of the vehicle is given out, and the accuracy of the vehicle safety distance and the safety of vehicle traveling are improved.

The invention provides an engine fault diagnosis method based on tensor tucker decomposition fuzzy control. Data in an existing diesel engine ECU are integrated to form third order tensioners; a tensor tucker decomposition thought is utilized, feature extraction is carried out by using Tucker decomposition of a tensor of HOSVD-ALS to obtain a core tensor and a horizontal slice matrix Bm thereof; and data normalization processing is performed on the data of the core tensor horizontal slice matrix Bm, reasoning operation is performedon the two processed tensors by adopting a fuzzy method to obtain an output quantity matrix, and defuzzification is performed on the output quantity matrix to obtain an accurate output quantity matrix, thereby realizing fault diagnosis on short circuit, open circuit and failure of the diesel engine sensor.

The invention relates to a target tracking control method for a flexible mechanical arm based on reachable set estimation. The method comprises the steps that firstly, a human-simulation mechanical arm flexible motion system is established, and a neutral II-type T-S fuzzy method is used for establishing a non-linear dynamic system of the flexible human-simulation mechanical arm; in consideration that a fuzzy subordinating degree function of a neutral II-type T-S fuzzy system is difficult to accurately obtain, middle values of the upper and lower boundaries of the fuzzy subordinating degree function of a fuzzy system are taken as a controller fuzzy subordinating degree function; based on a reachable set estimation method, a neutral II-type T-S fuzzy controller is designed so that a target tracking error of the human-simulation mechanical arm can be controlled within an allowable error range. According to the target tracking control method for the flexible mechanical arm based on reachable set estimation, the neutral II-type T-S fuzzy controller designed in the method can control the target tracking error of the human-simulation mechanical arm within the allowable range, and the method has wide market prospects.

The invention provides an evaluation method for an elevator safety protection system based on a hierarchy-fuzzy method. The method comprises: firstly, recognizing risk factors of the elevator safety protection system, then hierarchical analysis is conducted through an analytic hierarchy process, and the weights of all criterion floors and index floors are calculated; secondly, on the basis of pre-risk analysis, further analyzing the component by applying a failure mode and an influence analysis method to judge the risk degree of the component so as to construct a risk membership matrix; According to the elevator safety protection system risk assessment method based on the fuzzy comprehensive evaluation, the risk degree of the elevator safety protection system can be visually, comprehensively and quantitatively determined, and suggestions are given according to the actually measured risk index values of the elevator safety protection system.

The invention discloses an anonymous method for preventing an attack of a labeled neighbor in social network dynamic release. A design algorithm based on neighbor label similarity is used for distributing nodes into proper groups, meanwhile neighbor structure and degree information of the nodes in the same group in an original social network is also considered, an used StruSim method is improved based on the algorithm, and thus the privacy requirement is met; structural similarity of the nodes in the group is improved to be ready for an next operation, and thus a social network chart after t moment grouping is acquired by using the method. The chart structure is changed by a random disturbing method, edges are randomly added or deleted, then a fuzzy method is used, each edge has the corresponding probability of existing in the social network, so that the probability of an attacker for uniquely determining an individual with a sensitive label is not more than 1 / l. According to the method, only the labeled neighbor information with the sensitive label is disturbed, so that the quantity of undetermined charts is reduced, and data availability is improved.

The invention discloses an interval type-2 fuzzy geographic area topological relation determining method based on an IT2 FS (interval type-2 fuzzy set). A topological relation analysis system is constructed by adopting multi-scale remotely sensed data and a fuzzy geographic entity model. The distribution range of fuzzy geographic targets is extracted from the multi-scale remotely sensed data. However, the distribution range cannot be accurately defined and can only be expressed by adopting a fuzzy method. An interval type-2 fuzzy mathematical model is used for expressing the possible distribution range of the geographic targets. An interval type-2 fuzzy topological relation computing system consists of an interval type-2 fuzzy geographic area extraction module, an interval type-2 fuzzy boundary extraction module and an interval type-2 fuzzy position topological relation computing module. The multi-scale remotely sensed data enters the system, the fuzzy distribution range is extracted and the boundary area of the distribution range is extracted. The interval type-2 fuzzy position topological relation computing module conducts analysis by using the fuzzy distribution range, the boundary area and data such as houses and towns to obtain a fuzzy analysis result, so as to realize the computation of the fuzzy position topological relation.

The invention relates to a comprehensive evaluation method for a natural gas combined cooling, heating and power system, which is used for comprehensive evaluation of multiple natural gas combined cooling, heating and power system schemes. The method includes the following steps: establishing a layered evaluation model, including The target layer, the first index layer and the second layer index layer; determine the weight matrix of the first layer index and the weight matrix of the second layer index of each group of second layer index; obtain the index value of each second layer index in the system plan to be evaluated, according to the fuzzy method Determine the second-level indicator evaluation matrix corresponding to each group of second-level indicators; obtain the first-level fuzzy comprehensive evaluation set according to the weight matrix of each second-level indicator weight matrix and the corresponding second-level indicator evaluation matrix, and then obtain the first-level index evaluation matrix; The second-level fuzzy comprehensive evaluation set is calculated by the layer index weight matrix and the first-layer index evaluation matrix, and the second-level fuzzy comprehensive evaluation set is the comprehensive evaluation value of each system program to be evaluated. Compared with the prior art, the evaluation result of the present invention is objective and reliable.

The invention provides a power quality comprehensive evaluation method and device based on an intuitionistic fuzzy theory, so as to solve the technical problem that in the current fuzzy method, the common defects in the case of fuzzy concept processing by various kinds of membership functions are that the fuzzy characteristics of each evaluation index relative to each quality level are not depicted in details, the membership of the index relative to the whole qualified range is only calculated generally, the power quality level is determined according to a normalized quantized value, the maximum membership principle conceals the difference between two memberships, and judgment deviation is caused to be over large.

The invention provides an electric power system model and data quality evaluation method based on a multilayer fuzzy method. The method includes: obtaining electric power system basic information through acquisition of an electric power system basic model and data; establishing a multilevel evaluation index factor set of the electric power system basic information; performing weight distribution on the multilevel evaluation index factor set to obtain a multilevel evaluation index system; performing fuzzy mathematical calculation on the multilevel evaluation index system to obtain a fuzzy comprehensive assessment result; and assessing the electric power system basic model and the data. According to the method, the influence of the lack of basic information on the overall data quality evaluation is effectively avoided, the present situation that the state estimation cannot flexibly evaluate the electric power system basic data quality with multiple angles is solved, accurate and effective evaluation results and correction schemes are provided for the electric power system model and data quality, the completeness, the correctness, and the accuracy of an original model and the data re improved, and stable operation of an electric power system is guaranteed.

The invention aims to provide an active impact-resistant fuzzy method suitable for a complicated vibration isolation system of a power plant. The method comprises the following steps: an acceleration signal at a base of the power plant is collected, and whether the system is impacted is judged; when the value of the acceleration of the base exceeds a set threshold value, an impact active control module is entered; the input acceleration signal and a signal of the rate of change of the acceleration are fuzzified; according to the obtained result, by searching a fuzzy control rule table, a fuzzy output value of a control signal is obtained; a defuzzification interface is completed by using a triangular membership function of the control signal, and an impact control signal is obtained; the impact control signal is input into an active vibration absorber after being subjected to power amplification by a power amplifier, and when the value of the acceleration of the base and the rate of change of the acceleration are both less than set threshold values, the impact response is ended. With the adoption of the method, the system can have stronger impact-resistant capability, the response time is short, the instantaneity requirement of the impact control is met; and after the method is used, the impact-resistant capability of the complicated vibration isolation system can be effectively improved.

The invention discloses a fuzzy Skyline real-time parking recommendation method with a privacy protection function. The method comprises the following steps: 1, a roadside traffic facility RSU collects fuzzy parking lot and traffic information of the surrounding in real time; 2, a user sends a parking query request to the RSU, the query request comprises three default requirements, namely, the parking stall obtaining possibility, the parking lot reaching time and the charging standard, and a recommendation result return path based on the user is established according to a query message and theRSU; and 3, a fuzzy language variable comparison operation operator based on s-norm operation in the fuzzy method is defined, the RSU performs skyline information fusion by utilizing the fuzzy language variable comparison operator, and a result is returned to the user. The method is good in privacy protection effect, high in real-time performance and easy to implement and apply.

The invention discloses a fault-tolerant control method for a car active front wheel steering system. The fault-tolerant control method comprises the followi.kng steps that first, based on an ideal car front wheel steering system dynamic model, the ideal car front wheel steering system dynamic model is taken as a reference model in the car operation process and used for outputting actual motion state information, including the car transverse speed, the yaw angle speed, the centroid side slip angle and transverse tire force, of a car; and second, the mass of the car is changed with the number of passengers, the value of the mass of the car is fluctuated in a certain range, and thus uncertain parameters existing in the car model are processed through a Takagi-Sugeno method, namely a T-S fuzzy method. The fault-tolerant control method has the advantages of being simple in structure, small in operation amount, convenient to implement and the like; and through combination of front wheel steering angle control and yaw moment control, the control effect of the fault-tolerant control method is superior to a control method in a single mode, through compound control, on the one hand, the good steering angle precision can be ensured, and on the other hand, the good control effect can be obtained.

The invention discloses a three-class six-stage water resource bearing state early warning method based on a variable fuzzy method. The method comprises the following steps of establishing a water resource bearing state early warning index system, constructing a multi-factor comparison matrix, calculating an index weight through an analytic hierarchy process, measuring the bearing state of a waterresource system by using a variable fuzzy method idea, and obtaining an evaluation result of the water resource bearing state; and grading the evaluation results, and obtaining an early warning result of the water resource bearing state according to the bearing states of different years and the change trend conditions of the bearing states. According to the method, an analytic hierarchy process is adopted, and the subjective judgment and reasoning of a decision maker can be closely associated; secondly, based on a variable fuzzy method, the evaluation result is prevented from being too abstract, the evaluation result value is not consistent with the connotation of the water resource bearing state, a basis is provided for determining the direction for improving the water resource bearing state and making improvement measures, and the method has very high practicability and wide applicability.

The invention discloses a time-domain-to-weight driver-automatic driving system flexible take-over method. The flexible take-over method of the automatic driving system judges the degree of hazard through a fuzzy evaluation index, and then gradually shifts the intention of a driver to the intention of an automatic driving controller through change of the weight in the time domain, so as to realizesmooth take-over from the automatic driving controller to the driver. The flexible take-over method of the automatic driving system includes the following steps: 1) designing an MPC (Model PredictiveControl) automatic driving controller; 2) based on the fuzzy law, evaluating the degree of hazard of a vehicle: using a fuzzy method to establish a fuzzy law of a vehicle hazard index Gamma, a driving environment hazard index and a driver operation hazard index, and obtaining a three dimensional map for the vehicle hazard index Gamma for Eroad and Edriver; determining the driving environment hazard index and the driver operation hazard index in real time, and using the three dimensional map to obtain a vehicle hazard index; and 3) implementing flexible take-over of the driver-automatic driving system.

The invention discloses an evaluation method for a maritime traffic safety monitoring capability based on an entropy weight method and a variable fuzzy method. The method comprises the following stepsthat S1) evaluation factors of the maritime traffic safety monitoring capability are determined, and an evaluation index system for the maritime traffic safety monitoring capability is constructed from the factors of labor, apparatus and management; S2) index weights are calculated according to the entropy weight method; and S3) a lever characteristic value of the maritime traffic safety monitoring capability is determined according to the variable fuzzy method. According to the evaluation method, the evaluation factors of the maritime traffic safety monitoring capability are formed to evaluate the capability, and monitoring resources are distributed reasonably based on a monitoring capability evaluation result.

The invention discloses a fuzzy comprehensive evaluation method for peak shaving potential of an aggregation group power supply. The method comprises the following steps of S1, determining peak shaving capability indexes of various types of power supplies, a1, determining a peak shaving potential index of the conventional power supply unit, wherein the index is based on the maximum and minimum technical output alpha g = Pg of the unit, wherein max-Pg, min, Pg, max, Pg and min are the maximum technical output and the minimum technical output of the unit g respectively, and a2, determining a high-energy load peak regulation potential index, optimizing the output of the thermal power and hydropower peak regulation unit by adding the high-energy load of the negative power supply, and absorbingwind and light curtailment electric quantity. According to the method, quantitative characterization is carried out on the peak regulation capacity of each type of power supply by using a fuzzy method, and on the basis, the peak regulation potential index, the output change amplitude, the output adjustment rate, the unit start-stop time and the peak regulation economy of the aggregated group power supply are proposed by considering the total capacity proportion of each power supply capacity in the group power supply.

The embodiment of the invention discloses a three-dimensional trapezoid fuzzy method for calculating the power generation of a water-cooled photovoltaic photothermal integrated system, and the method is used for solving a technical problem that a calculation method of daily power generation of a new energy user distributed photovoltaic power generation system does not comprehensively consider uncertainty and randomness of influence factors and the applicability, practicality and application of the calculation method are difficult to satisfy in the prior art. The method of the embodiment of the invention comprises the steps of introducing a generalized three-dimensional trapezoid fuzzy set concept and a calculation method in considering uncertainty, randomness and fuzziness of sunlight intensity, a sunshine duration, a sunshine shadow, a sunshine angle of inclination and the like, and calculating the power generation of the water-cooled photovoltaic-photothermal power generation system based on fuzzy probability analysis with an assumption that the parameters of the sunlight intensity, the sunshine duration, the sunshine shadow, the sunshine angle of inclination and the like and a user battery energy storage event obey a generalized three-dimensional trapezoid fuzzy distribution rule.