84 results about "Fuzzy logic algorithm" patented technology

A method, and corresponding system, for identifying e-mail messages as being unwanted junk or spam. The method includes converting the outputs of a set of e-mail classification tools into a standardized format, such as a probability having a value between zero and one. The standardized outputs of the classification tools are then input to a voting mechanism which uses a voting algorithm based on fuzzy logic to combine the standardized outputs into a single classification result. The use of a fuzzy logic algorithm creates a more useful result as the classifier results are not merely averaged. In one embodiment, the single classification result is itself a probability that is provided to a spam classifier or comparator that functions to compare the single classification result to a spam threshold value and based on the comparison to classify the e-mail message as spam or not spam.

A method for protecting a network from an attack includes measuring a property of traffic entering the network, and analyzing the property using at least one fuzzy logic algorithm in order to detect the attack.

The invention discloses a gait phase detection apparatus with ankle joint angle self-rectification function, which comprises a shank fixing mechanism, a ankle joint angle control mechanism, a ankle joint angle measuring mechanism and a thenar pressure measuring footwear. The invention can control ankle joint motor rotation angle according to thenar pressure signal, regulate ankle joint angle for foot drop patient in weight reduction walking training, prevent the damage to foot due to the towing and impacting caused by foot drop, and improve the dorsiflexion ability of foot drop patient; a pressure sensor and an angle sensor collects thenar pressure signal and ankle joint angle signal timely, an upper computer performs fuzzy logic algorithm to realize to detect gait phase smoothly and submissively. patient with walking ability defects or normal person with some degree of gait deformity can wear the invention while walking, detect the gait phase information in walking, estimate gait recovery degree scientifically, and optimize gait training strategy.

The invention provides an intelligent wheelchair outdoor navigation method based on coordinated control. The method is characterized by acquiring external environment information by a GPS (global positioning system) and ultrasonic sensors, firstly adopting a control method based on behaviors to coordinate with a fuzzy logic algorithm to design behavior modules with different functions, secondly adopting a neural network algorithm to design a behavior coordination controller, and realizing the autonomous navigation function with higher intelligence through the coordinated control of the behavior modules. The method has the advantages that the cost of the outdoor navigation system can be lowered; and the real-time property and the robustness of the system can be improved.

The invention discloses a NRIET X-band radar cooperative networking analysis method. The method comprises the steps that data are collected; the data quality is controlled; a distance weight interpolation technology is used, and a three-dimensional cressman interpolation method is used to perform lattice interpolation on radar echo, radial wind and each polarization; three-dimensional data networking is carried out; for a three-dimensional wind field inversed by a dual Doppler radar, the inversed wind field is constrained by a mass continuous equation, and the three-dimensional wind field is acquired by repeatedly iteratively solving the equation; the vertical velocity w is acquired by the mass continuous equation, and a trace boundary condition is used to adjust a vertical motion field, wherein the upper boundary of the mass continuous equation is set to integrate down; based on a radar product reflectivity algorithm, a combined reflectivity puzzle product and an echo top puzzle product are generated; through Z-R relationship, quantitative precipitation is estimated to acquire a rain intensity product; a texture classification method is used to identify a precipitation stratus convection region; and a fuzzy logic algorithm is used to recognize the phase state of precipitation particles in each region at different stages of a precipitation process.

A process for the custom design and automated, custom manufacture of golf clubs. According to a first embodiment, a computer user interface, preferably a graphical user interface (GUI), guides a user's selection of preferred golf club design parameters. According to a second embodiment, input data about a golfer's style of play and golf club performance needs are captured from data collection systems, and analyzed by black box algorithms, preferably fuzzy logic algorithms, to infer golf club design parameters. After preferences for, or inferences about, golf club design parameters are developed in accordance with the two embodiments, a computer aided (CA) system is used to design and manufacture the desired golf clubs.

The invention relates to a control method of a finished series hybrid power electric vehicle based on fuzzy logic, belonging to the technical field of control of hybrid power electric vehicles. A required working state of a drive motor is divided into seven areas according to an expert control principle, engineer experience, vehicle working area characteristics and the working characteristics of the drive motor; a working state of a power battery is divided into seven areas according to the characteristics of the power battery; an output state of an engine is divided into three to five fuel economy and low discharge points according to the working performance of the engine; the fuel economy and low discharge points of the engine are output by adopting a fuzzy logic algorithm and adopting the charge state of the power battery and the required powder of the drive motor as input variables according to the change of the input variables, and the engine, the power battery and the drive motor are operated in an efficient area. The invention can reduce the working participation time of the battery and an energy drive chain, improve the energy-saving effect of the finished vehicle, the economy and the discharge performance of the engine and prolong the service lives of the finished vehicle and all components.

The invention relates to an indoor four-rotor unmanned aerial vehicle 360-degree three-dimensional obstacle avoidance system and belongs to the control science and control engineering field. When a four-rotor unmanned aerial vehicle cruises indoors to perform tasks such as rescue and relief work, problems can be brought to the flight of the four-rotor unmanned aerial vehicle caused by relatively complex indoor environment, weak GPS signals and difficulty in deploying peripherals, and in order to solve the above problems, the four-rotor unmanned aerial vehicle 360-degree three-dimensional obstacle detection and obstacle avoidance decision making device is designed. An STM32f103 is adopted as a core processor, and the number and the positions of ultrasonic sensors are reasonably configured, so that a model for acquiring surrounding environment information is constructed, and therefore, three-dimensional obstacle detection can be realized. When the four-rotor unmanned aerial vehicle performs a task, the obstacle avoidance decision making system performs Kalman filtering processing on acquired obstacle distance values and thereafter, performs data fusion based on directions, and performs obstacle avoidance decision making based on fused data through a fuzzy logic algorithm, and sends an obstacle avoidance decision to a flight controller through a serial port; and the flight controller controls the flight attitude of the unmanned aerial vehicle to complete an obstacle avoidance task.

The invention is suitable for the intelligent robot technology field, and provides a method of an intelligent robot of automatically planning paths. The method is characterized in that after a to-be-reached destination position is received by the intelligent robot, the path planning mode is switched on; by taking the current position of the intelligent robot as the start point, the intelligent robot is used to calculate the position of the next step by adopting the fuzzy logic algorithm; the intelligent robot can move from the current position to the position of the next step according to the calculated position of the next step; the intelligent robot is used to determine whether the position of the next step is the destination position; when the position of the next step is not the destination position according to the determination result, the process of taking the current position as the start point, and calculating the position of the next step by adopting the fuzzy logic algorithm can be carried out again; the operation can be ended until the position of the next step is the destination position according to the determination result. According to the invention, the defect of the conventional security robot of inability of planning the paths automatically can be overcome, and the technical scheme of planning the paths simply and effectively can be provided, and the intelligentization of the intelligent robot can be improved.

A method is provided for enterprise management and bundling of radio, outdoor and entertainment inventory to achieve maximum revenue on perishable products. An electronic data-mart 110 or central information storage and data processing system is established to collect influencing factors for the probability and price sensitivity of a particular advertising buyer 120. The data-mart 110 also collects business rules for inventory scaling, available inventory to sell, budget (goal) information, advertiser payment history, and station performance data to feed to a scenario planner 130. Once three or more variables exist, inventory and pricing fuzzy logic algorithms create scenario plans to present the most profitable bundle of offerings. The scenarios are typically pre-approved although presented to the local business units 150 for an abnormality failsafe. Once processed by the local business units 150, the scenarios are presented to the advertising buyer 120. Negotiations typically take place which cause for the process to restart. The main systems that interact to build these scenarios are: an enterprise data-mart 110, a scenario planner 130, a performance measure system 170, a rate or yield management subsystem 160, a traffic and accounts receivable system 180 and a similarly configured local inventory booking system 190. A business rules engine provides the local rule definitions for scaling inventory and price to provide for the most profitable combination.

The invention discloses a hybrid power system energy management method based on a fuzzy logic algorithm. The vehicle power need and the power distribution combination are automatically calculated in real time, and the fuel economy of the vehicle is improved on the premise of guaranteeing the dynamic property and meeting different user needs. The technical scheme comprises the following steps: performing system self-check; sending an access signal to an energy source controller and a drive motor controller by a vehicle control unit, and obtaining signal data; judging whether the signal data is complete; calculating the vehicle need power and the vehicle power system accessory power by the vehicle control unit according to the signal data, and calculating each energy source output power in real time through a fuzzy logic algorithm; adjusting and correcting the energy source output power calculated in real time by the fuzzy logic algorithm to obtain a power distribution combination; sending the output power distribution result to each energy source controller through a CAN bus based on the power distribution combination by the vehicle control unit to finish real-time adjustment of each energy source output power of a power system by the vehicle control unit.

The invention makes a request of protecting a handover decision-making method based on fuzzy logic and TOPSIS algorithms. The method comprises two steps of handover candidate user screening and target network selection. At the handover user screening stage, a fuzzy logic algorithm is used for processing user mobile information to obtain a handover suitability degree; and a handover candidate user is selected by combining RSS, a user type, and the user handover suitability degree, and a handover candidate user set is constructed. At the target network selection stage, multi-cell selection is carried out by using an optimization objective function, wherein the objective function considers a cell load, a handover cost, and a network performance comprehensively and the network performance is obtained by processing the RSS, a time delay, mobility support, and energy consumption comprehensively by using a TOPSIS algorithm, and the function aims at realizing cell load equilibrium, network cost minimization, and network performance optimization; and then an optimal cell is selected based on the optimization function and is used as a handover target network. Therefore, the user requirement can be guaranteed and the network equilibrium can be realized.

The present invention includes a method and apparatus for the detection and analysis of information-containing signals in chromatographic data using iterative blind deconvolution and fuzzy logic algorithms. The invented method analyzes chromatographic data from a wide variety of sources of DNA sequencing information, including gel and capillary electrophoresis. Autoradiograms, single-fluor, four-lane and four fluor, single lane fluorescent chromatographic data are suitable sources of unprocessed input data. The output from the invented base calling method includes called (identified) sequence data and quality values for the called bases.

The invention discloses a compatibility capturing method of a multi-mode GNSS (Global Navigation Satellite System) combination receiver. The capturing method comprises the following steps of: carrying out corresponding capture process on a satellite signal within coherent integration accumulation time and non-coherent integration accumulation time; adopting a fuzzy logic algorithm in the capture process, dynamically adjusting the coherent integration accumulation time and the non-coherent integration accumulation times according to a carrier-to-noise ratio and a carrier speed; and within the coherent integration accumulation time, carrying out the secondary sampling on a middle frequency signal of the acquired satellite signal, i.e. all data are decomposed into a plurality of groups, and the data points in each group are at one pseudo-random code element, and subsequently the Fourier transform, the Fourier inversion, the DCT (Discrete Cosine Transformation), the IDCT (Inverse Discrete Cosine Transform), the mode value square and threshold judgment process are carried out. With the adoption of the capturing method, the defects that signals cannot be captured as an existing capturing method is low in sensitivity and likely to be interfered are overcome, and satellite signals can be captured normally when a GNSS signal is shielded and strong environment noise exists.

An elevator system (20) includes a controller (36) that uses one of a plurality of fuzzy logic algorithms for assigning an elevator car (22-28) to service a passenger request. A disclosed example uses a passenger's desired destination as indicated by the passenger service request prior to the passenger entering an elevator car. A disclosed example includes multiple fuzzy logic algorithms, each corresponding to a particular relationship between an elevator car's current assignments, a passenger's desired destination, a source landing of the passenger's request, or a combination of them.

The invention discloses a processing control method of small holes of an electric spark, belongs to the field of electric spark processing and relates to a processing control method of small holes of an electric spark based on the fuzzy logic algorithm. The method comprises the following steps of: establishing a closed loop control system of small holes of the electric spark firstly, taking the spark/arc rates and short circuit rates in any analytical period as the input variable of a processing control system of the small holes of the electric spark, using a processing fuzzy discrimination algorithm of the small holes of the electric spark to determine a fuzzy set of the spark/ arc rates and short circuit rates, adopting a servo feed strategy in the analytical period obtained by the processing control rules of the small holes of the electric spark based on the fuzzy logic as the output of the control system, and finally setting the output variables by using the processing impact factor to determine the processing control method of the small holes of the electric spark in the current analytical period. The method realizes the high accuracy of the processing control of the small holes of the electric spark. The processing efficiency is improved significantly; the calculating amount is small, the operation cycle is short and the control strategy is simple and practical, thus ensuring the timeliness of the processing control.

A system and method for making use of formative assessment data collected is disclosed that identifies clusters of students and concurrently determines the characteristics of the student clusters. A decomposition of the data is performed with spectral theories of graphs and fuzzy logic algorithms to identify the clusters of students, clusters of assessment data and relationships between them. An actionable output is presented to teachers for the evaluation of educational progress.

The invention provides a hydrogen control method for a proton exchange membrane fuel cell system for a vehicle. The method comprises the following steps of acquiring anode inlet hydrogen pressure and cathode inlet hydrogen pressure of a fuel cell stack, and calculating target hydrogen pressure; calculating a pressure deviation between the target hydrogen pressure and the actually measured hydrogen pressure; designing a hydrogen control calculation model, and inputting the pressure deviation and the variation of the pressure deviation into the hydrogen control calculation model to calculate a hydrogen control quantity; and inputting the calculated hydrogen control quantity into an actuator for hydrogen control. A fuzzy logic PI algorithm is adopted, fuzzy logic can be adjusted at any time according to experience of engineers, control is more flexible, and adaptability is higher; feedforward compensation is adopted, and compared with a traditional PID control algorithm, by using the method of the invention, hydrogen pressure fluctuation can be further reduced, and the hydrogen pressure control precision is improved; and a fuel cell hydrogen flow mathematical model and a differential pressure physical model do not need to be established, the tedious process of model identification is avoided, a response speed is higher, and robustness is higher too.