168 results about "Consistency analysis" patented technology

The present invention features a qualitative method to detect independent motion revealed in successive frames of a compressed surveillance MPEG video stream using linear system consistency analysis without decompression of the stream, identifying the segments containing independent motion in a real-time or faster manner, for the retrieval of these segments. The linear system is constructed using the macroblocks of MPEG compressed video frames. The normal flow value of the macroblock is obtained by taking the dot product between the macroblock gradient vector, computed by averaging the four block gradient vectors, and the motion vector of this macroblock. The normal flow value is filtered for inclusion in the linear system, and the statistic of the matrices of the resulting linear system is determined, filtered to screen out false negatives and outliers, and used to determine the presence or absence of independent motion.

The invention discloses a state of charge (SOC)-based power battery pack equalizing charge and discharge control method and device. The method comprises the steps as follows: charge and discharge data of power batteries are obtained; the charge and discharge data comprise terminal voltage, current and temperature of the power batteries; each power battery comprises a single battery; a mathematic model for calculating the SOC of each power battery is established on the basis of an ELM method; with charge and discharge data as inputs of the mathematic models, the SOC data of the power batteries are determined according to outputs of the mathematic models; a consistency analysis is carried out on power battery packs according to the SOC data of the power batteries; and an on / off state of a switch tube of an equalizer circuit is controlled when the power battery packs are not consistent according to an equalizing control strategy, so that energy transfer of the power batteries is achieved. According to the method, the current state of charge of each battery can be relatively accurately and rapidly predicted; and the equalization accuracy and the equalization power are effectively improved.

The present invention provides a distributed fusion recognizing method of wireless sensor network. Firstly each node of the wireless sensor network is established with a respective elementary probability distribution model, a sensor reliability analysis model, an uncertainty analysis model and a consistency analysis model. Then these node enabled by the target is executed with estimation to the elementary probability distribution function and sensor reliability analysis. Each node is executed with a time fusion in order to realize result synchronization. A modality fusion should be executed to the node which is equipped with a plurality of types of sensors. Then through analyzing the uncertainty to the recognizing result, the on-line self-adopting selection is executed. When the fusion center receives the element probability distribution and sensor reliability parameter transmitted by the selected node, the consistency analysis is executed. The information fusion is executed combining the reliability of sensor, and the uncertainty and consistency of result, and in this way the distributed fusion recognizing is realized.

The invention discloses a deep neural network-based text consistency analysis method. After a section of text is input, a distributed method is adopted to translate each word in sentences into vectorsto form distributed sentence matrices, the words repeatedly appearing in the adjacent sentences are counted, and repeated information of the adjacent sentences is added through a manner of expandingdimensionality of the matrices; a convolutional neural network is utilized to learn distributed representations of the sentences, and important features of logic, semantics, syntax and the like in thesentences are extracted to form sentence vectors; and similarity degrees between the adjacent sentence vectors are calculated to add context association contents, finally, a neural network is continuously trained, and probability of text consistency is output. The method is characterized in that complex artificial feature extraction operations do not need to be carried out, external resources arealso not relied on, and compared with existing consistency analysis technology, the method provided by the invention has a great improvement in an accuracy rate, and has a better practical value.

The invention relates to a decision support system in the artificial intelligence field and discloses a group opinion qualitative analytical tool in the system of the hall for workshop of metasynthetic engineering, which overcomes the decentralized thinking of a specialist group and is based on an automatic questionnaire, and a realization method, wherein, the analytical tool comprises a searched object unit, a questionnaire template management unit, a questionnaire template design unit, a questionnaire generating unit, a questionnaire distribution unit and an analysis module unit. The method (1) of the invention determines a problem analyzing framework and searches a corresponding questionnaire template; (2) the questionnaire template is customized according to a special problem; (3) finally the basic consistency of group opinions is achieved by carrying out analysis and processing to questionnaire results, and a result summary is output in a visual form. The tool of the invention provides effective group opinion measurement divergence degree for users, guides the users to blend the questionnaire result summary and opinion consistency analysis so as to achieve the basic consistency of the group opinions, can carry out different analysis to different problems and finally displays the opinions of the specialist group in a visual mode.

The invention discloses a horizontal well track optimization method based on RS three-dimensional sensitivity seismic attribution analysis. The core of the method is extraction of three-dimensional seismic attribution, RS three-dimensional sensitivity seismic attribution analysis, while-drilling seismic attribution correlation consistency analysis and horizontal well track optimization design. The method integrates multiple disciplines such as logging, seism, geology and rock physics, a rough set (RS) analysis technology, a seism multi-attribution technology, a three-dimensional seismic attribution sensitivity analysis technology, a horizontal well geosteering analysis technology and a track optimization technology are comprehensively combined, the method is suitable for horizontal well track optimization design, while-drilling tracking and other important links in a horizontal well developing stage, and the reliability and the real-time guidance of horizontal well section prediction analysis are effectively improved.

The invention provides a human face living body detection method, belongs to the technical field of human face identification, and solves the problems of low human face living body detection efficiency and accuracy in the prior art. The method comprises the steps of obtaining a color image and a depth image of a to-be-detected target; determining normalized human face images corresponding to the color image and the depth image; by performing correlation analysis on the normalized human face images corresponding to the color image and the depth image, determining a correlation feature of the color image and the depth image; by performing depth consistency analysis on the normalized human face image corresponding to the depth image, determining a depth consistency feature of the depth image;and according to the correlation feature and the depth consistency feature, performing human body living body detection on the to-be-detected target. According to the method, the human body living body detection is performed in combination with color information and space information in the images of the to-be-detected target, so that the living body detection accuracy is improved.

The invention discloses an answer selection method and system for allowing a reading robot to perform reading comprehension, which can improve the accuracy of answer selection while a robot performs reading comprehension. The answer selection method for allowing a reading robot to perform reading comprehension includes: positioning a paragraph associated with a question; adopting a bag of words model to extract a sentence having the most matching words with options as evidence materials; analyzing the semantic consistency of the options and the evidence materials; and selecting an optimal answer to the question according to the consistency analysis result. The answer selection method and system can applied to the reading robot, and can intelligent answer the selected question through automatic analysis and deduction.

The invention relates to a modeling and data privacy protection method based on a data map, an information map and a knowledge map, and belongs to the field of intersection of distributed calculationand software engineering. The modeling and data privacy protection method is mainly used for carrying out feasibility analysis, integrity analysis, consistency analysis and redundancy analysis on a demand of a user and extracting corresponding data stream, information stream, knowledge stream and control stream in each step of analysis to map to the data map, the information map and the knowledgemap. Then, on the basis of the demand of the user, data resources are classified into implicit and explicit cases according to existence of the data resources in a search space; and for implicit and explicit information privacy resources, the data privacy resources are converted into other types of privacy resources according to a sequence of influence sizes and all the related typed privacy resources are stored into a privacy space to carry out protection.

The invention discloses a method for predicting a protein structure from local to global on the basis of a knowledge spectrum. The method comprises the following steps: for a query sequence, obtaining a high-quality fragment library through a multi-feature seamless threading method, and obtaining distance spectrum knowledge between residues through statistic consistency analysis on the basis of the fragment library; dividing the query sequence into several segments of structures according to residue information recorded in a distance spectrum; carrying out fragment assembling on each segment of structure to obtain relatively low energy and to ensure that the space distance between adjacent residues approaches to a predicted distance in the distance spectrum; carrying out fragment assembling on the unsegmented structures and calculating the global energy to obtain a metastable-state conformation with low energy and more reasonable structure. The method disclosed in the invention is relatively good in conformation space sampling ability and high in prediction precision.

A method of modeling includes quantifying a co-operative strength value for a plurality of pairs of variables, and identifying a clique of at least three variables based on a graph of the co-operative strength values of a plurality of pairs of variables. The method also includes selecting a first pair of variables of the plurality of pairs of variables having a high co-operative strength value. A second clique may also be identified. A model of the first clique and a model of the second clique are made. The outputs of these models are combined to form a combined model which is used to make various decisions with respect to real time data.

A method of modeling includes quantifying a co-operative strength value for a plurality of pairs of variables, and identifying a clique of at least three variables based on a graph of the co-operative strength values of a plurality of pairs of variables. The method also includes selecting a first pair of variables of the plurality of pairs of variables having a high co-operative strength value. A second clique may also be identified. A model of the first clique and a model of the second clique are made. The outputs of these models are combined to form a combined model which is used to make various decisions with respect to real time data.

The invention relates to a time-shifting-logging-based method for building an initial model with a seismic facies constraint. The method comprises: well seismic calibration is carried out by using an interpreting layer and data after time-shifting logging, a seismic spatial relation is established by combining seismic data, and a consistency analysis is carried out on a well seismic calibration result and the seismic spatial relation; a seismic data isochronal stratigraphic frame is established by using the interpreting layer and data after time-shifting logging, wherein the seismic data isochronal stratigraphic frame is established by carrying out guiding and tracking by using an inclination angle obtained by seismic calculation and subdividing a small layer; and on the constraint of the isochronal stratigraphic frame, interpolation is carried out by using the calibrated logging data and the seismic spatial relation to obtain an initial model. According to the invention, deposition distribution cab be reflected well and the basis can be established well for better and accurate inversion.

The invention discloses a simulation and test result consistency analysis system and method, and relates to the field of computer simulation analysis application. Through the system and the method, the consistency of batch simulation results and test results can be quickly analyzed, and further the credibility of a simulation model is assessed; and meanwhile, based on the system and the method, test point arrangement can be performed based on the simulation model, values of existing test data are fully mined, simulation model correction is performed based on consistency analysis result guidance, the technical level and the pre-test capability of simulation analysis are gradually improved, effective combination of ''test guidance by simulation and simulation confirmation by test'' is trulyrealized, and repetition of structure design is avoided.

A battery pack cycle test consistency analysis system is designed based on a battery pack cycle test consistency analysis method. The system comprises a reference voltage difference calculation unit,a data storage unit, a data reading unit, a data calculation unit and a drawing unit. The reference voltage difference calculating unit is used for calculating a reference voltage difference requiredby different battery packs in consistency analysis. The data storage unit is used for recording test data of the battery packs according to a preset time interval and format. The data storage unit isused for reading the recorded data. The data calculation unit is used for calculating the voltage difference of a single battery in the battery packs and comparing the voltage difference with a reference voltage difference to obtain a consistent conclusion. The drawing unit is used for drawing a single voltage distribution curve. A fixed SOC difference allowable range is used, and the dynamic consistent of the battery packs can be more accurately reflected dynamically formulating the voltage difference range of each SOC.

The present invention relates to a method and a system for importing data into a database table with constraints consistency analysis and customized merge parameters. The method includes providing the table with data identities and a primary key assigned to each of the data identities. A temporary copy of the table is generated and contains at least one data identity to be merged into the table. The table structure of the table and the table structure of the temporary copy are determined. A temporary copy of a new column is created and contains a final primary key of the related data identity for its transfer into the table, thereby assigning the same primary key to the data identity in the temporary copy if the data exists already in the table. A new primary key is assigned to the data identity in the temporary copy if the data identity is not present yet in the table. The data identities in the table that are present in the temporary copy are locked and an update function for the data identities having the same primary key in both the table and the temporary copy are executed. An import function for the data identities having a newly assigned primary key comprised in the new column of the temporary copy is also executed. The locked data identities are unlocked after the successful execution of the updating and the importing function.

The invention discloses a classification risk evaluation method of lamination defects of plastic packaging devices. The method comprises the steps of carrying out quality consistency analysis on the devices, and checking the surface quality and internal quality of the devices; according to a preset sample size, sampling in batches of the devices which pass the quality consistency analysis, so as to obtain one device to be evaluated; determining the type of the lamination defect of the device to be evaluated by using an ultrasonic scanning microscopy method; carrying out a moisture sensitivity rating test to determine the moisture sensitivity level of the device to be evaluated; determining the grade of the lamination defect of the device to be evaluated according to the type of the lamination defect and the moisture sensitivity level; carrying out an interface fatigue acceleration test on the device to be evaluated; generating a evaluation conclusion of the device to be evaluated according to a test result of the interface fatigue acceleration test. The method has the advantages of clear process, clear and definite criteria and easy implementation; the obtained evaluation result has an intuitive guiding value for the use of a user.

The present invention features a qualitative method to detect independent motion revealed in successive frames of a compressed surveillance MPEG video stream using linear system consistency analysis without decompression of the stream, identifying the segments containing independent motion in a real-time or faster manner, for the retrieval of these segments. The linear system is constructed using the macroblocks of MPEG compressed video frames. The normal flow value of the macroblock is obtained by taking the dot product between the macroblock gradient vector, computed by averaging the four block gradient vectors, and the motion vector of this macroblock. The normal flow value is filtered for inclusion in the linear system, and the statistic of the matrices of the resulting linear system is determined, filtered to screen out false negatives and outliers, and used to determine the presence or absence of independent motion.

The invention discloses a PPG-based non-contact non-invasive heart rate and respiration measuring method. The method comprises the following steps: step 1, image acquisition; step 2, region of interest ROI acquisition; step 3, ICA and consistency analysis; step 4, change signal acquisition; step 5, Gaussian filtering processing and multi-scale analysis; and step 6, fast Fourier transform. According to the method, a novel time domain heart rate and respiratory value signal extraction scheme based on a histogram statistics thought is used, noise information contained in obtained time domain signals is reduced, and the accuracy of heart rate detection is enhanced; a Gaussian filtering denoising method is innovatively used, so that the robustness of the system is greatly improved; Overlays isconstructed for an algorithm with a large calculation amount, and hardware acceleration is carried out at a PL end; and the PS end utilizes a time overlapping method to improve algorithm parallelism,realizes portability of hardware of the low-performance FPGA, and meets the requirements of real-time heart rate and respiratory value calculation on high frame number of a video.

A method for determining a mobility state of a mobile device is provided. A first estimated location of the mobile device is determined based on a first predictor set by generating a first location probability distribution associated with the first predictor set. A second estimated location of the mobile device is determined based on a second predictor set by generating a second location probability distribution associated with the second predictor set. A third estimated location of the mobile device is determined based on the first and second predictor sets and based on a combined first location probability distribution and second location probability distribution. A consistency analysis of the calculated first, second and third estimated locations is performed for the first and second predictor sets to determine the mobility state of the mobile device.

The invention provides an autonomous controllability detection method and system for mixed-source software. The method and system are used for solving the problem that in the prior art, whether the mixed-source software has autonomous controllability or not cannot be detected. The method comprises the steps of importing source codes, analyzing the source codes and judging whether a test is executed or not; And dynamically executing tracking and consistency analysis. For uncovered functions, variables and codes, or for differences between the codes and design description documents, software developers need to give reasonable explanations and codes which cannot be explained and are judged to be non-autonomous development. From two aspects of code static analysis and dynamic execution, for the inconsistent places and redundant codes, if reasonable explanation cannot be given, it is judged that the software does not have autonomous controllability. The method is easy to operate and high inpracticability, whether the software is developed autonomously or not can be rapidly and accurately detected, and therefore the software covering the autonomously-controllable coat is found out, andpotential risks caused by non-autonomously-controllable software are effectively prevented.

The invention provides a processing method and device of marketing, power distribution and dispatching integration data of an electric power system and relates to the technical field of marketing, power distribution and dispatching integration of the electric power system. The processing method comprises steps of: carrying out real-time monitoring on a PMS2.0 system, a data center system, a marketing service application system, a basic data platform system and a data transfer process between all systems and generating data transfer monitoring result data; according to the data transfer monitoring result data, determining abnormal problems of the data transfer monitoring result data and positioning the abnormal problems of the data transfer monitoring result data; carrying out base data analysis, integration analysis, consistency analysis and service stipulation analysis on the abnormal problems of the data transfer monitoring result data, carrying problem classification on the abnormal problems of the data transfer monitoring result data, and generating abnormal problem attribution classification results; and according to the abnormal problem attribution classification results and a preset problem solving corresponding relation, determining a processing object of the abnormal problem of each data transfer monitoring result data.

The invention relates to a typed resource demand modeling and information resource privacy protection method based on a data map, an information map and a knowledge map, and belongs to the field of intersection of distributed calculation and software engineering. The typed resource demand modeling and information resource privacy protection method is mainly used for carrying out feasibility analysis, integrity analysis, consistency analysis and redundancy analysis on a demand of a user and extracting corresponding data stream, information stream, knowledge stream and control stream in each step of analysis to map to the data map, the information map and the knowledge map. Then, on the basis of the demand of the user, information resources are classified into implicit and explicit cases according to existence of the information resources in a search space; and for implicit and explicit information privacy resources, the information privacy resources are converted into other types of privacy resources according to a sequence of influence sizes and all the related typed privacy resources are stored into a security space to carry out protection.

The invention relates to an unmanned aerial vehicle-trolley formation control method under an all-weather condition. The method comprises the following steps: firstly, constructing a topological structure of an unmanned aerial vehicle-trolley patrol formation, and establishing a state space model of an unmanned aerial vehicle-trolley patrol formation control system on the basis of a Markov model by considering four typical weather conditions and influences of system internal faults and nonlinear interference; by adopting a communication protocol triggered by an adaptive event, communication congestion is relieved, energy consumption is reduced, and a corresponding closed-loop system model is obtained by introducing a control protocol. Then, random stability analysis and consistency analysis are carried out on the closed-loop formation system by utilizing a random analysis method; and finally, solving a feedback gain matrix of the formation control system by using a linear matrix inequality method to obtain a parameter value of the controller. The invention provides an effective control method for all-weather unmanned aerial vehicle-trolley patrol formation.

The invention discloses a novel photovoltaic group string online fault diagnosis system in an integrated inverter scheme. The system comprises a collection module, a storage module and an analysis module, wherein the analysis module comprises a basic constraint analysis module, a current deviation analysis module, a threshold value analysis module and a voltage-current deviation consistency analysis module. The invention also discloses a novel photovoltaic group string online fault diagnosis system in the integrated inverter scheme. The method comprises the following steps: collecting the operating data of each group string; judging whether the operating data meet basic constraint conditions or not; carrying out analysis on the current deviation of each group string; judging whether the operating data of each group string reach preset threshold values or not; analyzing voltage-current deviation consistency and judging group string faults. The method has higher sensitivity and lower false alarm rate for voltage type faults occupying more than 90% of photovoltaic module faults, and the diagnosis result is stable and reliable; the method is simple to implement, small in one-time analysis range, short in inspection cycle, few in occupied resources, low in hardware requirement and convenient for large-scale popularization.

The invention, which belongs to the field of studying of the diagenetic numerical value simulation technology of the low-permeability-tight reservoirs, provides an analytical method for the evolutionhistory of 3D permeability of a sandstone reservoir. The method comprises the following steps that: well selection and data arrangement are carried out; a rock physics model including six types of lithofacies of coarse sandstone, medium sandstone, fine sandstone, siltstone, chiltern conglomerate and mudstone is established in a low-permeability-tight reservoir, and distribution of the six types oflithofacies at a target segment is evaluated by using combined scales of six kinds of welllogging curves; on the basis of a sandstone particle size, a rock density, and mineral constituents, six lithofacies types approximating geological actual situation are made; a porosity-depth and porosity- permeability mathematical equation based on magnetic resonance imaging and reservoir physical data is implanted and thus a 3D permeability evolution history of the six lithofacies types at the target segment is reproduced under the 3D burial history and thermal history constraints; and an overall 3D permeability evolution history of the target segment is evaluated by combining the percentage compositions of the six lithofacies types. Moreover, the consistency analysis of a practically measured permeability value and a simulated permeability value is carried out.

The invention relates to a wind generating set performance assessment method based on the correlation analysis. The method comprises the following steps that firstly, data are collected through a big-data platform; secondly, a generating set to be analyzed is determined; thirdly, the set in which correlation needs to be determined is subjected to the correlation analysis through different unit wind speeds with time as the sequence; fourthly, a correction unit is selected, and the relative power generating amounts of the correction unit are obtained; and fifthly, the average value of the relative power generating amounts is solved, when the relative power generating amount of the generating set to be analyzed is lower than the average power generating amount (k*100)%, the performance of the generating set to be analyzed is not good enough, and the generating set to be analyzed is in urgent need of rectification, wherein k is a constant. According to the wind generating set performance assessment method, a multi-level correlation and consistency analysis method is utilized, the related unit is determined, the influence of complex wind conditions on the performance assessment is eliminated, the relative power generating amount of the related unit is directly applied to serve as the assessment standard, the influence of good and bad wind resources on power generating is eliminated, and the assessment result is more reliable.

The embodiment of the invention discloses an annotation data quality evaluation method and device, a computer device and a storage medium. The method comprises the following steps: acquiring at leastone annotation sample to be processed; respectively carrying out annotation accuracy analysis on the at least one annotation sample; performing annotation consistency analysis on the at least one annotation sample; and generating an annotation quality evaluation result of the annotation sample according to the accuracy analysis result and the consistency analysis result. According to the embodiment of the invention, the quality of the annotation data can be accurately evaluated, the labor cost is reduced, and the evaluation efficiency is improved.

The invention discloses a coordinated control method for units based on regulation performance consistency analysis. For the problems that regional power grid frequency-modulation units are various in types and large in regulation performance difference, the regulating characteristic differences of automatic generation control (AGC) regulating units are fully considered, so that a dynamic grouping coordinated control strategy based on regulation performance consistency analysis is provided. Through screening and marshalling the units with relatively consistent regulating characteristics, the regulating tasks of different time scales are assumed according to the difference of the regulation performance, so that the frequency modulation resources of the power grid are effectively utilized; and coordinated and optimal regulation and control of the frequency modulation resources are realized.

The invention belongs to the technical field of network security. The invention particularly relates to a malicious program recognition method and device based on icon representation and software behavior consistency analysis. The method comprises the following steps of: obtaining a sample; collecting known classification normal software data; extracting known normal software icon resource data and import table API data, constructing a CNN deep learning model, respectively training icons and import table API information, establishing an icon classification model and a software classification model, and obtaining a software program routine information base according to icon classification and software behavior classification information; Performing structure analysis on the sample to be tested, extracting icon resource data and import table API function data, testing through a CNN deep learning model, and obtaining icon classification and software behavior classification information ofthe sample to be tested; And judging the behavior consistency of the classification of the to-be-tested sample icons and the software behavior classification according to the test result. Automatic and batched malicious program rapid detection is achieved, and malicious program codes disguised through software similar icons and the like are effectively recognized.