40 results about "Possibility distribution" patented technology

A system, method, and computer program product for classifying a target structure in an image into abnormality types. The system has a scanning mechanism that scans a local window across sub-regions of the target structure by moving the local window across the image to obtain sub-region pixel sets. A mechanism inputs the sub-region pixel sets into a classifier to provide output pixel values based on the sub-region pixel sets, each output pixel value representing a likelihood that respective image pixels have a predetermined abnormality, the output pixel values collectively determining a likelihood distribution output image map. A mechanism scores the likelihood distribution map to classify the target structure into abnormality types. The classifier can be, e.g., a single-output or multiple-output massive training artificial neural network (MTANN).

An explicit assumption of continuity is used to generate a fuzzy implication operator, which yields an envelope of possibility for the conclusion. A single fuzzy rule A B entails an infinite set of possible hypothese A′B′ whose degree of consistency with the original rule is a function of the “distance” between A and A′ and the “distance” between B and B′. This distance may be measured geometrically or by set union / intersection. As the distance between A and A′ increases, the possibility distribution B* spreads further outside B somewhat like a bell curve, corresponding to common sense reasoning about a continuous process. The manner in which this spreading occurs is controlled by parameters encoding assumptions about (a) the maximum possible rate of change of B′ with respect to A′ (b) the degree of conservatism or speculativeness desired for the reasoning process (c) the degree to which the process is continuous of chaotic.

A dynamic power consumption controlling method using the depth of stacking for multithreading prediction is suitable for supplying power to the battery. The method includes various idle mode components of low power consumption and uses the devices of multi-task imbedded system. The method includes the following steps: step one: using the cluster mode of operating request to describe the characteristics of the sequence Phi of operating request by a single thread to the components and devices; step 2: using two-stage hashtable to predict the probability distribution of the request interval under single thread mode; step 3, taking the thread as an independent request source and grouping the request source according to the task to which the thread belong and the entry address of the thread; step 4: calculating, according to the possibility distribution of the idle time of the components or devices, the optimum overtime threshold kopt and the optimum power consumption mode sopt under multiple power consumption modes and single thread. The method improves the effective hit rate for prediction and further reduces the power consumption for the idle consumption-manageable components.

The invention discloses a method of constructing a pronouncing dictionary, so as to solve the problem that the quality of the pronouncing dictionary constructed according to the prior art is poor. The method comprises steps: acoustic-phonetic features of a target vocabulary are inputted to a phonetic recognition decoder, wherein the pronouncing dictionary in the phonetic recognition decoder comprises the target vocabulary and a candidate pronouncing phoneme sequence of the target vocabulary; according to the candidate pronouncing phoneme sequence outputted by the phonetic recognition decoder, the possibility distribution of the target vocabulary corresponding to the outputted candidate pronouncing phoneme sequence is determined; according to the possibility distribution, correct pronouncing phoneme sequence for the target vocabulary is selected from the outputted candidate pronouncing phoneme sequence; and according to the correct pronouncing phoneme sequence, the pronouncing dictionary is constructed. The invention also discloses a device for constructing the pronouncing dictionary.

The invention relates to a carbonylation acetic anhydride production synthetic reaction kettle explosion analyzing method based on fuzzy fault tree. According to the explosion analyzing method, a fault tress is firstly constructed for the explosion accident of the carbonylation acetic anhydride production synthetic reaction kettle, with the application of the fuzzy fault tree theory, fuzzy reliability analysis is performed on the carbonylation acetic anhydride production synthetic reaction kettle according to the fuzzy information obtained through statistics of the actual operating state of onsite equipment and the expert experience, so that the possibility distribution of fuzzy probability of the explosion accident of the carbonylation acetic anhydride production synthetic reaction kettle is worked out; and structural importance analysis is carried out on the possibility distribution by the structure importance coefficient approximate value method, the weighted structural importance analyzing method which sorts and grades the bottom events of the fault tree is utilized to determine the most principal factor which affects the system, so the invention provides a new method and a new approach for the safety analysis of the system.

An explicit assumption of continuity is used to generate a fuzzy implication operator, which yields an envelope of possibility for the conclusion. A single fuzzy rule A B entails an infinite set of possible hypothese A′B′ whose degree of consistency with the original rule is a function of the “distance” between A and A′ and the “distance” between B and B′. This distance may be measured geometrically or by set union / intersection. As the distance between A and A′ increases, the possibility distribution B* spreads further outside B somewhat like a bell curve, corresponding to common sense reasoning about a continuous process. The manner in which this spreading occurs is controlled by parameters encoding assumptions about (a) the maximum possible rate of change of B′ with respect to A′ (b) the degree of conservatism or speculativeness desired for the reasoning process (c) the degree to which the process is continuous of chaotic.

The invention provides a sub-channel distribution method based on conflict threshold value limitation. According to the method, a concept of a conflict threshold value aiming at a distribution principle of a main user occupied authorized frequency spectrum and an authorized sub-channel idle state is introduced to analyze characteristics of self data packets and the idle state of a channel of a secondary user; access channels are selected as few as possible when the conflict threshold values are met, so that the possibility of the conflict of the secondary user and a main user is reduced. According to the sub-channel distribution method disclosed by the invention, the conflict threshold value is combined with an effective throughput capacity; sub-channels with the minimum quantity meeting self data requirements are selected according to the size of a sending data packet of each sub-channel and an idle possibility distribution parameter, so that more secondary users send out data, the conflict possibility of the main user is reduced, the effective throughput capacity of a network is increased, and the stability of a cognitive OFDM (Orthogonal Frequency Division Multiplexing) network is kept.

The invention discloses a method for integrating virtual light and real light of a video scene. The method comprises the following steps of: extracting video key frames from videos according to equal time intervals, establishing each clue by using the sky, the ground, and a vertical surface in images of the video key frames as clues respectively, then calculating and deducing to obtain a probability distribution map of the sun position, deducing to obtain the possibility distribution map of the sun position in the scene of the video key frames by using the sub position possibility obtained according to the video sky, the ground and the vertical surface, and generating a sparse radiancy map of the video scene key frames; and correcting an illumination estimation result of video non-key frames by an illumination parameter filtering algorithm by using the illumination estimation result of the video key frames, and integrating the virtual light and the real light of the video scene. By the method, the lighting effect of generating the virtual and real light integration video is effectively smoothed.

The invention relates to a multi-remote sensing image fusion denoising method based on a DS evidence theory. The method particularly comprises the following steps: multiple remote sensing images at the same position at a certain time period are selected, and four noise models are built for each image; statistical analysis of data is carried out on the four noise models, and the possibility that each pixel point under each mode is the noise is obtained as basic possibility distribution for the DS evidence theory; a DS evidence theory fusion rule is used for fusing four evidences into one evidence, and the possibility that each pixel point in each image is the noise is obtained; the DS evidence theory fusion rule is repeatedly used, information of the multiple remote sensing images is fused, and a total evidence for fusion of the multiple remote sensing images is obtained; and finally, according to the evidence, a confidence interval is calculated, a well-designed decision rule is used for denoising, and a fused and denoised image is obtained. The method of the invention has the advantages that with the help of rich information sources, edge texture details of the remote sensing image can be better kept while denoising is realized.

The invention provides a full Bayes features extraction method for synthesizing an aperture radar object, which can adaptively estimate the quantity of the attribute scattering centers and parameters of the attribute scattering centers. The full Bayes feature extraction method for synthesizing aperture radar object comprises steps of receiving a attribute scattering center model of a radar echo signal, determining distribution of posterior probability that each unknown characteristic parameters is subordinated to, establishing a whole layered Bayes model, determining unite posteriori possibility distribution of all unknown parameters in the attribute scattering center model, determining suggestion distribution of each unknown parameter, performing sampling on each unknown characteristic parameter, obtaining N sampling values of each unknown characteristic parameter, generating a Markov chain of the unknown characteristic parameter according to the N sampling values of each unknown characteristic parameters, and determining an estimation value of each unknown characteristic parameter.

The invention relates to the field of mobile robot track tracing, in particular to a robot track tracing method based on a Skinner operant conditioning automata. According to the robot track tracing method, firstly, an operation and state set of a robot is established, a possibility set from corresponding states to operations is established, and the sets are uniformly distributed; secondly, one operation is selected randomly, the corresponding position change is calculated, an orientation function is calculated according to a distance from a target track, action possibility distribution is adjusted based on an operant conditioning theory according to the orientation function, and a system entropy is calculated; thirdly, when the system entropy is close to a minimum value, studying is finished. At the moment, a possibility matrix is optimal. According to the robot track tracing method, operant conditioning behaviors of humans and animals can be well simulated, the intelligent level of robots can be improved to endow the robots with relatively strong abilities of self-learning, self-organization and self-adaption, self-control on condition parameters can be realized, and track tracing can be successfully carried out.

The invention discloses a fuzzy identification method for identifying cracks of a deep drawn part, which comprises the following steps of: firstly preprocessing an acquired original acoustic emission signal; and then extracting a characteristic parameter of the preprocessed acoustic emission signal on the basis of a local wave time frequency domain local energy characteristic extraction method; carrying out automatic recombination by a genetic algorithm to generate an optimal characteristic parameter which is used as a characteristic parameter for identifying the cracks of the deep drawn part; if the optimal characteristic parameter does not comply with the normal distribution, converting the optimal characteristic parameter into a probability variable complying with the normal distribution; solving a possibility distribution function and corresponding possibility, as well as a membership function of the probability variable according to the probability consistency principle and the possibility theory, and finally carrying out fuzzy diagnosis. The fuzzy identification method eliminates the defects in state identification by using a traditional method in which the characteristic parameter is presumed to comply with the normal distribution, can accurately differentiate normal state from crack state, effectively improve the rate of identification on crack characteristics, greatly shorten diagnosis time and realize high-precision diagnosis.

The invention provides a reliability design method and device of a buried pipe of a ground source heat pump, which are applicable to the technical field of ground source heat pumps. The method comprises the following steps: determining random parameter properties of a buried pipe system of the ground source heat pump; determining the possibility distribution of random parameters; establishing a reliability index of the buried pipe system of the ground source heat pump; establishing a function state model; calculating the reliability of the buried pipe system of the ground source heat pump according to the function state model. According to the reliability design method and device, an energy consumption random model and a distribution rule are established according to the factors including the structure of a building, a building design, structure form selection and the like; under the restriction conditions of the reliability index and an economy index, the buried pipe is designed and calculated according to an energy consumption index and the random heat transmission performance of the buried pipe and rock soil by considering the size of the buried pipe, backfill materials and environment conditions, so that a reliable scheme is provided for the design of the buried pipe of the ground source heat pump.

The invention relates to a method and a device for optimizing adaptability of a distribution network scheme. A new automatic adaptability adjustment method suitable for the reasonable scale of a large scale is built, the basic weight of each index is determined, a time probability distribution model is built, a given time scale is used to calculate the time weight vector which is used as a difference weight, the two weights are subjected to linear weighting to obtain a comprehensive weight value of the index; and probability values are assigned to multiple scenes, and the comprehensive scheme score is determined by the comprehensive weight, the index score and the possibility distribution. Finally, the schemes are ranked according to the comprehensive score, and the optimal scheme is determined.

The invention relates to a transformer station intelligent alarm model method for big data and a cloud environment. The method is technically characterized by comprising the following steps: a data obtaining phase; data cleaning; data aligning; data calculation and data display. The data calculation comprises inputting historical data after the cleaning and aligning to multiple calculation algorithms, calculating a probability of failure of each device, and by use of corresponding relations of families where the devices belong to, calculating probabilities of other devices of the families, wherein relations between input data and device defects and device faults can be automatically learned through each algorithm. According to the invention, through a mode for the big data and the cloud environment, an alarm information total amount is automatically counted and monitored, an alarm information trend is analyzed and monitored, causes of alarm amount abnormal growth points are determined, and distribution of failure probability of each device of a whole network is analyzed. The method provided by the invention can be widely applied to an electric power company and a transformer station.

The invention discloses a station area grid theoretical line loss calculation method giving consideration to line impedance and load uncertainty based on a fuzzy flow algorithm, and the method comprises the steps: firstly inputting a network structure, impedance membership degree information and load membership degree information, and carrying out the parameter initialization; secondly solving the value range of each fuzzy variable at a membership degree of zero through an alpha-cut set method; thirdly solving the maximum value of network loss in the value range through a genetic algorithm; fourthly solving the minimum value of network loss in the value range; fifthly substituting the value of the variable at the membership degree of one, and calculating the corresponding network power loss through a three-phase flow algorithm; finally obtaining the possibility distribution of network loss through the solved maximum and minimum values of network loss at all membership degrees.

A dynamic power consumption controlling method using the depth of stacking for multithreading prediction is suitable for supplying power to the battery. The method includes various idle mode components of low power consumption and uses the devices of multi-task imbedded system. The method includes the following steps: step one: using the cluster mode of operating request to describe the characteristics of the sequence Phi of operating request by a single thread to the components; step 2: using two-stage hashtable to predict the probability distribution of the request interval under single thread mode; step 3, taking the thread as an independent request source and grouping the request source according to the task to which the thread belong and the entry address of the thread; step 4: calculating, according to the possibility distribution of the idle time of the components, the optimum overtime threshold kopt and the optimum power consumption mode sopt under multiple power consumption modes and single thread. The method improves the effective hit rate for prediction and further reduces the power consumption for the idle consumption-manageable components.

The invention relates to an application method of a fuzzy support vector machine in telephone traffic prediction, and aims to obtain a new kernel function to be applied in the telephone traffic prediction by adding priori knowledge described by a linguistic variable or fuzzy set to a design of the kernel function. The application method comprises the following steps of: firstly obtaining a membership function in a first component of a fuzzy rule of a TSK (Takagi-Sugeno-Kang) model by a fuzzy C-means clustering algorithm; secondly identifying a second component parameter of the TSK model by an epsilon insensitive loss function; and finally obtaining a fuzzy membership kernel function through a current kernel function and the membership function or probability distribution function by a kernel trick. According to the application method of the fuzzy support vector machine in the telephone traffic prediction, provided by the invention, a great number of comparison experiments are developed by taking a mean-square error as a performance index for balancing a regression effect, thus the FMK (Fuzzy Membership Kernel Function) has better robustness.

A timing calibration circuit and a timing calibration method for a time-interleaved analog-to-digital converter (ADC) are provided. The timing calibration circuit includes a correlation unit, an adaptive filter and a delay cell. The correlation unit generates a first correlation coefficient according to a first zero-crossing possibility distribution between a first digital data and a second digital data, and generates a second correlation coefficient according to a second zero-crossing possibility distribution between the second digital data and a third digital data. The adaptive filter generates a predicted time skew according to a difference between the first correlation coefficient and the second correlation coefficient. The delay cell calibrates a clock signal of the ADC according to the predicted time skew.

A method for evaluating the structural health status of a shield tunnel in soft soil is provided. Combined with the possibility theory, the complex and changeable mapping relationship between monitoring data and shield tunnel structure health status is described, which reflects the influence of human bounded rationality on evaluation results in the evaluation process, and provides more accurate and rapid structural safety evaluation results for a shield tunnel in soft soil. The method comprises the steps: the health status of a shield tunnel and its possible distribution are determined, the index system and reference distribution function of shield tunnel structure health evaluation in soft soil area are determined, indicators are monitored, the possibility distribution function of monitoring data and its mapping function with the index reference distribution function are constructed, a profit and loss matrix is constructed, a value function is calculated, a weighting function is constructed, the comprehensive foreground value is calculated according to the value function and weighting function, and finally, the health status grade of the shield tunnel structure in soft soil is obtained according to the foreground theory.

The invention discloses a regional energy system optimization method based on type II fuzzy chance constraint, belonging to the field of energy system optimization dispatching. The method comprises the steps of: A, building an optimization model with the minimum regional energy system cost as the objective and with various kinds of constrains as constraint conditions; B, constructing type II fuzzyparameters according to the method for determining weights and the parameter possibility distribution, constructing random parameter according to the parameter probability distribution, and converting the type II fuzzy parameters and the random parameters into deterministic parameters through a type II fuzzy reduction method based on critical values and an opportunity constraint method, and solving the model; C, choosing different default probabilities of the energy system and substituting the probabilities into the model for solving, and obtaining the relationship between system default probability and system cost, energy purchase, energy supply and pollutant emission. The invention can optimize the regional energy system under the condition of multiple uncertainties, and provides an optimal energy purchase, energy supply and pollutant emission scheme.

The invention belongs to the field of assessment of actual projects of large buildings, public facilities, precision equipment and the like, and particularly relates to a data possibility-reliabilitydistribution-based type-II prediction set security assessment method. The method comprises the steps of firstly defining type-II prediction sets and related concepts based on possibility and reliability distribution, and proposing a similarity measurement method for the type-II prediction sets; secondly, according to an assessment demand, determining a heterogeneous data security level scale, establishing joint distribution, and performing fusion on type-II distribution for to-be-assessed heterogeneous data by utilizing a weighted fusion method; and finally, calculating similarity measure between the fusion distribution and the security level scale, determining the position of a centroid in the projection surface of a joint scale, and judging a security level. An experimental result showsthat by applying the method to the judgment of the security level of a tailing dam, the granularity of an assessment result can be effectively reduced, the misjudgment problem is reduced, and the convenience is provided for accurate interpretation of the security level of a dam body.

The invention discloses an improved method of a fault tree analysis method for safety assessment in an electrical power system. The improved method comprises the following steps: 1) in accordance with the fault tree analysis method, firstly establishing a top event, and then analyzing each reason event layer by layer, including an elementary event and a non-elementary event, and establishing a fault tree on the basis; 2) performing the membership value assessment on all elementary events and performing the value assessment on the characteristic value of the top event through research, statistics and analysis; 3) giving the membership of each none-elementary event corresponding to each elementary event by utilizing a weighted average method according to the membership assessed value of each elementary event obtained in step 2); 4) giving the membership of the top event by utilizing the weighted average method according to the membership of each non-elementary event obtained in step 3); 5) comparing the membership of the top event in step 4) with the characteristic value of the top event in step 2), and judging whether the top event occurs or not and the likelihood of occurrence of the top event. The fault tree analysis method is improved by applying possibility distribution in fuzzy mathematics, and all possible factors are better taken into account, so that the results are scientific, accurate and comprehensive and specific.

The embodiment of the invention provides a hospital guidance method, a hospital guidance device and a machine readable storage medium, which belong to the field of computers. The hospital guidance method comprises steps: the information of a patient is determined; according to the information of the patient, the possibility distribution of registrable departments of the patient is determined; in either of the following conditions, if only one department is included in the possibility distribution, the patient is informed of the department, and if at least two departments are included in the possibility distribution, questions which need to be answered by the patient are generated according to the possibility distribution; and according to the answers to the questions which need to be answered by the patient, the possibility distribution of departments is changed, question regeneration according to the changed possibility distribution of departments and change of the department possibility distribution according to the answers to the regenerated questions are repeated, and finally, the registration department of the patient is determined. Thus, the hospital guidance process is smoother and more intelligent, the hospital guidance efficiency is improved, and the hospital guidance experience of the patient is enhanced.

The invention discloses a power grid structure planning method, which comprises the following steps of: representing a power grid load by using a fuzzy method, calculating a triangular membership function, and substituting the solved triangular membership function into a power flow calculation formula to obtain possibility distribution of power grid fuzzy power flow; then superposing the conventional load flow calculation and the state increment fuzzy increment, solving functions of each state variable and an output variable, and obtaining possibility distribution of state variables such as power, voltage, current, phase angle and the like; and then determining constraint conditions, active and reactive economic constraints, economic constraints and maximum load constraints of grid planning, and carrying out grid planning by taking minimum investment construction cost, minimum network loss and maximum distributed power supply capacity of the to-be-accessed network as targets.

Methods and systems for improving the uniformity of a tire are provided. More particularly, a magnitude of a uniformity parameter can be obtained for each tire in a set of a plurality of tires. The magnitudes associated with the set of tires can be transformed according to a probability distribution function (e.g. a Weibull distribution function) to obtain a set of transformed magnitudes. Parameters associated with a probability distribution function can be estimated based at least in part on the transformed magnitudes. Parameters associated with the probability distribution function can be used to determine data indicative of a measurement error in the uniformity measurements attributable to a measurement process harmonic. The data indicative of the measurement error can be used to correct uniformity measurements obtained for tires and to modify tire manufacture based at least in part on the corrected measurements.

The invention discloses an image based outdoor illumination environment reconstruction method, which comprises the steps of extracting video key frames from video according to equal time intervals, using the sky, the ground and a vertical surface in images of the video key frames as clues respectively, estimating a possibility distribution diagram of the sun position which is calculated and deduced by each clue, deducing a possibility distribution diagram of the sun position in a scene of the video key frames by combining the sun position possibility obtained according to the video sky, the ground and the vertical surface, and generating a sparse radiance diagram of the video scene key frames; and correcting an illumination estimation result of video non-key frames by using an illumination estimation result of the video key frames through an illumination parameter filtering algorithm, and realizing virtual light and real light integration of the video scene. According to the method, the lighting effect of generating the virtual and real light integration video is effectively smoothed.

The invention discloses a fuzzy volume Kalman filtering-based single-station passive navigation method. The method comprises the steps of: establishing a fuzzy passive navigation model through a fuzzypossibility distribution method; and on the basis of the fuzzy passive navigation mode, importing a volume Kalman filtering algorithm to form a fuzzy volume Kalman filtering algorithm, and carrying out filtering correction on system state to carry out high-precision positioning navigation. According to the method, the fuzzy passive navigation model is established through importing the fuzzy method; the model preferably utilizes expert experiences and requires fewer priori knowledges, so that an exact analysis model does not need to be established; through further combining the advantages of the volume Kalman filtering algorithms in the aspects of high dimension and non-linearity, the problems that systems are uncertain and system models cannot be correctly established can be effectively solved, and the problem of high nonlinearity and high-order state in passive navigation can be effectively solved, thereby improving the applicability of passive navigation under complicated conditions.

The invention relates to a posture estimation method of a four-rotor aircraft based on evidence fusion. The method provided by the invention comprises the following steps: establishing a state equation and an observation equation of postures of the four-rotor aircraft, wherein state and observation noises are modeled to be a triangular possibility distribution function; converting the function into noise evidences, and substituting the noise evidences into the state equation and the observation equation, so as to generate three evidences describing states of the aircraft after being compounded with an actual observed value; realizing the evidence fusion by using an evidence combination rule; recursively spreading the three evidences in continuous times through a section mapping tool; weighing reliability assignment included in the fused evidences, so as to obtain an estimated value of the posture of the aircraft. The method provided by the invention has no need of meeting the steep requirements that the probability distribution of the state and observation noises are known, and only needs to define the noise to be bounded and can be described by using the simple triangular function. The practicability in actual posture estimation can be improved. Compared with the existing typical method, the method has higher estimation precision.