203 results about "Integration algorithm" patented technology

The invention relates to a tag noise correction based crowd-sourced tagging data quality improvement method. The method comprises the following steps: running a tag integration algorithm in an initial crowd-sourced tagging data set to form a data set after tag integration, and estimating tagger quality and integrated tag quality information of samples in the process; performing multi-round K-fold cross validation by utilizing the data set after tag integration, and constructing a high-quality data set; determining a tag noise set in combination with the tagger quality and the tag quality of the samples by utilizing a prediction probability of a class tag of each sample in the multi-round K-fold cross validation process; and training a classification model by utilizing the high-quality data set generated in the multi-round K-fold cross validation process, and performing prediction and replacement on the class tag of each sample in the tag noise data set by using the model. With the tag noise correction method, the quantity of potential noise tag samples in the data set after original tag integration is reduced, so that the data quality is improved.

The invention discloses a high-temperature creep deformation prediction and creep damage analysis method for a high-chrome steel component. The method comprises the following steps of: establishing a theoretical model, determining material parameters, designing a numerical integration algorithm, carrying out the secondary development of finite element software, carrying out the creep damage analysis of the component and the like. Compared with an existing technical scheme, the method disclosed by the invention is characterized in that a great improvement is carried out, the accurate prediction of the creep behavior and the creep damage of the high-chrome steel component can be realized, and therefore, the method has an important application value in the fields of the security design and the residual life evaluation of high-temperature high-pressure components in a supercritical generator set.

The invention discloses a manifold pre-integration-based visual inertial milemeter posture estimation method and device. After finishing the initialization of the visual inertial milemeter system, themethod comprises: visual inertial data alignment, visual optical flow position posture calculation, inertial pre-integration, visual and inertial joint optimization, window marginalization and aboveprocess repetition so that continuous estimation of camera postures is realized. Compared with the single visual milemeter system, the manifold pre-integration-based visual inertial milemeter system has a higher positioning precision, effectively utilizes inertial information in the milemeter system based on the manifold pre-integration algorithm, inhibits noise propagation of the system and reduces the influence of the inertial zero drift on the positioning accuracy of the milemeter.

An automated method and system for autocontouring organs and other anatomical structures in CT and other medical images employs one or more contouring techniques, depending on the particular organs or structures to be contoured. In a preferred embodiment, an edge-based technique is employed to contour one or more organs. A multiple hypothesis testing technique can be employed to improve the accuracy of the resulting contour. Independent algorithms can be employed for contouring multiple organ in a given region, such as the male pelvic region. An integration algorithm can be employed to combine the results of the independent algorithms to improve accuracy further.

The present invention provides a data mining and package data marking method, comprising: obtaining the original data to be marked; using the integration algorithm to perform classification and package distribution of the original data; obtaining the package marking result, and using the integration algorithm to perform automation checking of the packaging mark result, screening the problem marking result, and marking the problem marking result; outputting the package marking result through the checking, wherein the result includes a problem marking result. The problem marking result can be found in all the package marking results, and are marked to facliate checking and modulation of the problem marking result so as to greatly facilitate find the problem marking result, improve the ouput result marking quality and effectively reduce the marking cost.

A fault-tolerant timeout protocol for distributed sensor arrays and networks in which each sensor has a plurality of backup nodes, each of which is operable to send priority information which includes the product of the time needed for the backup node to transmit sensor information to a base station and the number of tasks offered to the backup node. In another embodiment, the base station stores the two values and calculates their product. In both cases, the lowest resulting value is used by the base station to select the backup node, which then sends backup sensor information. Another aspect of the present invention is a fault-tolerant sensor integration algorithm. The algorithm creates an abstract sensor defined as an interval having values above and below the reading of an associated physical sensor, and finds a range of values common to more than half of the abstract sensors. The algorithm obtains an output value based on the common range of values, and identifies the correct sensors, possibly faulty sensors, and faulty sensors by identifying the abstract sensors that include, respectively, (a) all of the common range, (b) part of the common range, and (c) none of the common range. A further aspect of the invention is a multi-hop information forwarding method for a wireless network. According to this method, a data source node transmits a signal to neighboring nodes among a plurality of distributed nodes, and each neighboring node which receives the signal from the source node transmits a reply signal which includes a weighted sum of factors including an energy factor and a distance factor for the neighboring node, the energy factor being indicative of the neighboring node's energy level and the distance factor being indicative of its distance from the source node. A forwarding node is selected on the basis of the weighted sums, and the source node transmits a data packet to the selected forwarding node, where the data packet is received and retransmitted either to a data sink node, e.g., a base station, or to another forwarding node.

The invention discloses a dynamic MEMS (micro-electromechanical systems) inertial attitude measuring system based on a self-adaptive robust integration algorithm, and provides a sensing system for measuring an attitude angle of an inertial space at high accuracy under a dynamic acceleration environment. The dynamic MEMS inertial attitude measuring system comprises an MEMS inertial unit, a magnetometer, a data integration computer, and a synchronous sampling and data communication unit, wherein the MEMS inertial unit is used for collecting the angular speed and acceleration of a sensor in the inertial space; the magnetometer is used for collecting the component information of an earth magnetic field; the data integration computer is used for operating the self-adaptive data integration algorithm; the synchronous sampling and data communication unit is used for obtaining the data of the synchronous sensor, and transmitting to other equipment on a bus through a digital interface. The dynamic MEMS inertial attitude measuring system has the advantages that the problem of low attitude accuracy due to the easy influence by the acceleration in the existing MEMS inertial attitude measuring system is solved; a high-accuracy attitude measuring system with small size and low cost is realized.

The invention discloses a video emotion identification method based on emotion significant feature integration. A training video set is acquired, and video cameras are extracted from a video. An emotion key frame is selected for each video camera. The audio feature and the visual emotion feature of each video camera in the training video set are extracted. The audio feature is based on a word package model and forms an emotion distribution histogram feature. The visual emotion feature is based on a visual dictionary and forms an emotion attention feature. The emotion attention feature and the emotion distribution histogram feature are integrated from top to bottom to form a video feature with emotion significance. The video feature with emotion significance is sent into an SVM classifier for training, wherein the video feature is formed in the training video set. Parameters of a training model are acquired. The training model is used for predicting the emotion category of a tested video. An integration algorithm provided by the invention has the advantages of simple realization, mature and reliable trainer and quick prediction, and can efficiently complete a video emotion identification process.

The invention relates to a method for planning the disassembly of electromechanical products. The method comprises the following steps: the three-dimensional CAD model of a product is loaded, and data information of parts to be dismounted is read, thereby constructing the information graph model of feasibility for dismounting the product; the given dismounting precedence relation of partial components is judged and defined; with the combination of the defined dismounting precedence relation, the information graph model of dismounting practicability is solved by utilizing the integration algorithm of ant colony optimization, so as to obtain a product dismantlement scheme. The invention further discloses a corresponding system and a method for managing disassembly information of electromechanical products and a system thereof. The technical scheme of the invention is characterized in that the analysis and evaluation for planning performance can be realized through an intelligent optimization algorithms and part of human-computer interaction work, so as to help a designer to improve the product disassembly recyclability and prolong the traditional product design chain; and the process file of the dismantlement scheme is encapsulated By utilizing RFID label, so as to guide disassembly and recovery process of product when the life cycle is ended.

The invention relates to a drilling speed increase evaluation method based on drill stem-drill bit-rock-shaft system full-scale drilling simulation. According to the technical scheme, the method comprises the following steps: firstly, establishing a finite element model based on drill stem-drill bit-rock-shaft system full-scale drilling simulation, then, analyzing and solving the established model according to the explicit integration algorithm, and finally, evaluating the drilling speed increase according to established evaluation criteria. The process of establishing the finite element model comprises the following steps: establishing a grid model of all components, defining the physical properties of the components and the constitutive relation and breaking failure criteria of rock, establishing a drill tool and well wall random contact and impact model and a drill bit and rock interaction model, and defining boundary conditions. According to the method, the real-time drilling and rock breaking process is simulated with drill bit rock breaking as the boundary conditions of the lower end of the drill stem, and therefore simulation results are closer to the reality, and references are provided for on-site drilling design, drilling parameter optimization, drill bit model selection and drilling speed increase evaluation.

The invention discloses a network intrusion detection method based on ambiguity and ensemble learning. The method comprises the following steps: S1, from original traffic data, extracting basic characteristic data which can reflect traffic characteristics; S2, preprocessing the extracted basic characteristic data; S3, taking the preprocessed basic characteristic data as a training sample set, andrandomly dividing the training sample set for many times to obtain several training sample subsets; S4, according to data in each training sample subset, constructing and training several base classifiers through an ambiguity-based semi-supervised ELM algorithm; S5, combining all the well trained base classifiers through an integration algorithm, obtaining a final intrusion detection model, and performing network intrusion detection. With the method provided by the invention, problems, such as overlong training time for constructing the model and failure in well adaptation to detection of attacks of new types, in the prior art are solved, and the method provided by the invention can perform rapid training and improve capability of identifying the attacks of new types.

The invention discloses a joint uplink and downlink load distribution method based on reinforced inter-cell interference coordination. Access of uplink and downlink nonsymmetric channels is considered, and the transmission rate of a user is improved. A UM-ABS protocol is disclosed, a traditional ABS protocol is redesigned. Downlink silence of a macro eNB in an almost blank subframe is changed into uplink transmission capable of configuring a micro-user, the utilization rate of the ABS is effectively increased, and system capacity is improved. A relaxation-integration algorithm is disclosed, so that the user can effectively have access to the micro eNB or a micro station. Meanwhile, a UM-ABS protocol is well configured, and time resources of uplink and downlink transmission are effectively distributed. The joint uplink and downlink load distribution method based on reinforced inter-cell interference coordination improves load balance of a system and capacity of the system, improves the transmission rate of the user, and enables performance of the whole system to be greatly improved.

The invention discloses an electric car and a control method and system of a PTC electric heater for the electric car. The control method comprises the following steps that the work current of the PTC electric heater is detected; the work current is sampled to acquire the sample values of the current, and the current sample value in each sampling period is subjected to integral computation to acquire the computed power of the PTC electric heater; within each switching period of a power switching tube, whether the computed power reaches the target power of the PTC electric heater or not is judged; if the computed power reaches the target power of the PTC electric heater, the PTC electric heater is controlled to stop heating by controlling the power switching tube so that the heating amount of the PTC electric heater within each switching period can be kept consistent with the heating amount corresponding to the target power. According to the method, the current integration algorithm is adopted for controlling the power switching tube, therefore, overall output heat equalization is achieved, comfort is greatly improved, and electromagnetic interference and switching losses can be reduced.

The invention discloses a system for monitoring dynamic energy consumption and the driving range of an electric automobile. The system is technically characterized in that in the driving process of the automobile, 100-kilometer energy consumption of the automobile in every five seconds is obtained through an integration algorithm, mean value calculation is conducted on several groups of 100-kilometer energy consumption data, a relatively stable and accurate 100-kilometer energy consumption value is finally obtained, and the circumstance that energy consumption display of an instrument dithers is avoided; in a driving range calculation method, influences, produced on discharge performance of a battery, of the battery temperature, the State of Charge (SOC) and the State of Health (SOH) are taken into consideration, and calculation for the driving range of the automobile is made to be more accurate and closer to the actual condition. By means of the calculation methods of the 100-kilometer energy consumption and the driving range, the phenomenon that the 100-kilometer energy consumption dithers can be avoided, and the relatively accurate driving range can be obtained. Effectiveness of the methods is validated through a real automobile, and the methods are applicable to the pure electric automobile needing to use a power battery.

The invention relates to an online checking method for a high-tension current transformer, which can check the high-tension current transformer in the field operation with high accuracy. The online checking method is characterized in that in a return circuit of the high-tension current transformer to be checked, a high-accuracy pincerlike hollow coil based on a PCB (Printed Circuit board) is connected in series, so that the high-tension current transformer is used as a standard current transformer, the signal of the high-tension side is digitized and transmitted to the low-tension side through fiber transmission, the output value of the standard current transformer and the output value of the checked high-tension current transformer at the synchronized instant are compared through an external synchronous trigger signal, the digital integration algorithm and error theory algorithm are realized by using a virtual instrument in a checking platform, so that the accuracy of the checked high-tension current transformer in the field operation is checked, the cost of interruption is reduced, and the checking period of the high-tension current transformer is shortened.

The invention discloses a geometric algorithm for a high-speed circuit transition curve, which adopts a McConnell transition curve calculation formula and is characterized in that a Simpson integration algorithm is introduced into the McConnell transition curve calculation formula; an angle of declination of a random point on the transition curve is calculated; and each coordinate of the transition curve is calculated by the angle of declination. According to the invention, the Simpson integration algorithm is introduced into the McConnell transition curve calculation formula and curve integral adopts a Simpson iteration method; a calculation error is not influenced by the length of a calculation route or an account step; the defects that in a conventional offset method, an accumulated error is increased along with increase of the calculated length and the error is increased along with increase of the iteration step size are overcome; and the geometric algorithm is beneficial for controlling calculation accuracy. The McConnell curve integration algorithm adopted by the geometric algorithm overcomes the defects of a conventional McConnell curve offset iteration method and creates beneficial conditions for accuracy control of automatic paving of a newly constructed high-speed circuit curved surface machinery.

The invention discloses a system and a method for detecting access control strategy collisions in a collaborative environment. Firstly the problem of semantic isomerism of access control strategy used by each region in the collaborative environment among mutually-operated regions based on role mapping is solved, and on the basis, the problem of the access control strategy collisions in the collaborative environment is solved; therefore, the system and the method are particularly suitable for use in a collaborative environment with semantic isomerism. The technology adopts an improved strategy integration algorithm based on semantic integration and a strategy collision detection algorithm based on subgraph isomorphism as main algorithms. The main activities of the detection technology for the access control strategy collision in the collaborative environment comprise strategy pre-processing, multi-region strategy integration and strategy collision detection activity. The invention can detect the access control strategy collisions caused by mutual operation among regions by role mapping, so as to avoid the safety problems of unauthorized access and the like.

The invention discloses a C&C domain name identification method based on domain name features. The method comprises the following steps: S1, generating a quantitative index for judging domain name categories specific to given domain names based on the qualitative features of the domain names; S2, randomly extracting a part of domain names from the given domain names to be input into a training data set, inputting the rest domain names into a testing data set, and generating a domain name category judging model based on the training data set with a decision tree integration algorithm; S3, judging the domain name categories of the rest domain names in the testing data set with the generated domain name category judging model, comparing the domain name categories of the rest domain names in the testing data set with the practical categories of the rest domain names, and calculating the prediction performance index of the domain name category judging model; S4, correcting the domain name categories judged by the domain name category judging model; and S5, generating the statistics result of a single domain name based on the corrected domain name categories. Through adoption of the C&C domain name identification method, a C&C domain name can be found accurately, and the high landing property, feasibility and comprehensibility of the model are enhanced.

The invention provides a practical decoupling electromagnetic transient state modeling method for describing the nonlinear magnetic saturation property of a super / extreme-high voltage magnetically controlled shunt reactor (MCSR), comprising the steps of: providing a transient equivalent reactance algorithm on the basis of a dynamic magnetic resistance idea under AC / DC mixed excitation; reflecting the real-time dynamic change property of the saturated equivalent reactance under the condition of the AC / DC mixed excitation; accurately describing the magnetizing and demagnetizing effect of network side AC current on a reversely series-wound DC excitation saturation magnetic circuit in two main magnetic circuits of the super / extreme-high voltage magnetically controlled shunt reactor (MCSR); describing nonlinear magnetic circuit property with arc hyperbolic functions; decoupling a coupling magnetic circuit equation; differencing transient equivalent reactance by an implicit trapezoid integration algorithm with damping; and establishing an electromagnetic transient state model. The invention not only accurately reflects the continuously smooth regulation property of the saturated magnetic circuit of the super / extreme-high voltage magnetically controlled shunt reactor (MCSR) and prevents the numerical oscillation of piecewise linearization algorithm, but also can meet the requirements of real-time / faster-than-real-time simulation computation under the condition of large-range continuous regulation.

The invention discloses a binocular vision positioning method and system in a dynamic environment applied to the technical field of robot positioning. The method comprises the following steps of extracting image feature points, distinguishing the feature points on the moving object points and the feature points on the non-moving object points in a mode of clustering the feature points. The featurepoints on the moving object can be effectively eliminated so that elimination of feature points on a static dynamic attribute object is avoided, more available feature points are reserved, and poseswhich are closest to IMU data and are estimated based on different feature point sets are screened through an inter-frame pose transformation matrix obtained through an IMU pre-integration algorithm,so that some external points such as feature points belonging to a moving object are effectively eliminated. According to the poses and depth estimation method integrating monocular motion vision andbinocular stereoscopic vision, the estimation precision can be effectively improved.

The invention discloses a voice emotion recognition system and method based on machine learning. The voice emotion recognition system comprises a recording noise reduction module, a punctuating module, a speaker recognition module, a feature extraction module and an emotion recognition module. The punctuating module is used for receiving recording data transmitted by the recording noise reductionmodule and cutting the recording data into fragments according to relevant features of the phonetics. The speaker recognition module is used for receiving the fragments transmitted by the punctuatingmodule, classifying the fragments through a machine learning algorithm and recognizing a speaker according to classification. The feature extraction module is used for receiving the fragments transmitted by the punctuating module, extracting the frequency spectrum features and the Mel-frequency cepstral coefficients from the fragments, and extracting the fragment features after processing the frequency spectrum features and the Mel-frequency cepstral coefficients. The emotion recognition module is used for receiving the fragment features generated by the feature extraction module, training emotion prediction models through the machine learning algorithm, and integrating prediction results of all the models through an integration algorithm. The voice emotion recognition system and method have the beneficial effect of being effectively represented in the Chinese language environment and the actual production environment of customer service telephones well.

The invention discloses a fault identification method of a switch machine based on clustering integration, which comprises the following steps: step 1, preprocessing power data of a switch machine: processing power data of the switch machine by using DTW dynamic time adjustment; step 2, generating a base clustering member by collocating a data feature set and a base clustering algorithm; obtaining3 base clustering members by adopting a hierarchical condensed hierarchical clustering algorithm based on hierarchical clustering and a density-based DBSCAN, DPCA as a base clustering algorithm; step3, constructing the data mining framework of switch machine fault based on a clustering ensemble algorithm. A W-VOTE clustering integration algorithm based on weighted votes is adopted to realize analysis, mining and fault diagnosis of switch machine fault data. Without prior knowledge, the method has the characteristic of more comprehensive fault diagnosis, higher fault identification accuracy and visual fault identification.

The invention discloses a white light LED communication indoor positioning system and method. The system comprises a transmitting center control platform, multiple groups of transmitters, a receiver and a background resolving platform. According to the positioning method, a technology of calculating distance through time division and optimization of optical transmission length of time is employed. The transmitting center control platform transmits time division messages to different transmitters through a power carrier technology; the transmitters modulate messages into direct current pulse signals and couple the direct current pulse signals with an LED drive reference power supply to drive LED lights to transmit optical signals; the receiver obtains information such as the transmission length of time and strength of the optical signals and transmits the information to the background resolving platform; and the background resolving platform resolves a coordinate position of the receiver through adoption of an optimization integration algorithm and a feedback closed loop self-adaptive calibration system and loads the coordinate position on a map, thereby realizing positioning. The system is high in positioning precision, low in cost and simple and convenient in operation and is easy to commercialize.

The invention discloses a ground nephogram identifying method solving the problem of insensitiveness in illumination. An Retinex algorithm is applied to reduce or eliminate the influence of sun light on a nephogram sample and obtain an enhanced nephogram image sample, so that the relevant characteristics of illumination invariants can be extracted easily, and the identifying rate of the nephogram can be increased; a clustering algorithm is applied to separate a cloud target from a background, and only the characteristic of the cloud target is extracted, and the characteristic value is computed for the identification of the cloud, so that the identifying accuracy is increased; an AdaBoost integration algorithm is applied to integrate a plurality of independent categorizers trained through the adoption of an SVM learning algorithm, parameters of the SVM algorithm are reasonably adjusted during the process of training data to enable the trained categorizers to have diversity, so that the nephogram identifying accuracy is increased, and the generalization performance is improved to a large extent.

The invention discloses an analytical calculation method of an airway shortcut from a measurement and control station to a sub-satellite point. The method includes the steps: transforming orbit parameters of a current time point according to an earth-satellite orbit theory, and acquiring six orbit elements; transforming a coordinate of the measurement and control station into a coordinate under ageocentric orbit ascending node coordinate system; calculating a false waypoint according to the coordinate of the measurement and control station under the geocentric orbit ascending node coordinatesystem; performing extrapolation calculation according to the false waypoint and an analytical algorithm based on an intermediary orbit theory to obtain an orbit parameter of a satellite in the falsewaypoint; returning the orbit parameter of the satellite in the false waypoint to the first step to perform iteration calculation once to obtain a true waypoint; calculating an airway shortcut value through the true waypoint. According to the calculation method, compared with the prior art, the shortcoming of long calculation time of an existing integration algorithm can be overcome on the premiseof ensuring accuracy, and the airway shortcut can be rapidly and accurately calculated.

The invention discloses a recommendation method and system based on a generative adversarial network and double clustering, and belongs to the technical field of computer application. The method comprises the following steps: firstly, reading the incomplete evaluation data set of a user-project establishing an incomplete evaluation data set of a project, then constructing a generative adversarialnetwork consisting of a generative network and a discriminant network, then predicting and filling missing evaluation values by utilizing the trained generative network, finally carrying out double clustering, and carrying out corresponding project group recommendation on different user groups according to sub-clusters obtained by the double clustering. According to the recommendation method and system, the trained generation network is used for filling the missing evaluation value, and the defects that a traditional method for filling the missing evaluation value such as the mean value (or the number of people) and linear interpolation is low in precision and large in error are overcome; And the filled complete evaluation data is clustered by using the double-clustering integration algorithm, so that the clustering result is more effective than that of a single double-clustering algorithm, the pertinence of a project group recommended to a specific user group is stronger, and the recommendation effect is improved.

The invention provides a matrix exponent-based parallel calculation method for an electromagnetic transient simulation graphic processor. A to-be-researched overall electromagnetic transient simulation model of a power system is built under a state analysis framework; and electromagnetic transient rapid simulation of the power system is achieved by combining the data parallelism of a matrix exponent algorithm and the performance advantages of parallel calculation of the graphic processor. The matrix exponent-based parallel calculation method reserves good numerical precision and rigid processing capacity of a matrix exponential integration method, has general modeling and simulation capabilities of nonlinear links of power system elements, and achieves high efficiency of a matrix exponential integration algorithm in the field of large-scale electromagnetic transient simulation for the power system by high parallelism characteristic of data of the matrix exponent integration algorithm. Parallel calculation of the simulation graphic processor of the electromagnetic transient model of the general power system is achieved on the basis of the matrix exponential operation under a state analysis framework; and the calculation speed of the matrix exponent-based electromagnetic transient simulation method is improved.

The invention discloses a visual inertia odometer method based on IMU pre-integration. The visual inertia odometer method comprises the steps of acquiring visual and IMU sensor data of a carrier undera fixed coordinate system; constructing a system state vector and an error vector, and establishing an IMU motion equation and an error state equation; constructing a discretization system covariancematrix, executing zero-order quaternion integration by IMU measurement to calculate the rotation of the IMU at the current moment, and executing an IMU pre-integration algorithm to calculate the position and speed of the IMU at the current moment; augmenting the system state vector, and augmenting the system covariance matrix; establishing a measurement model of a camera sensor; constructing a system observation model through camera observation; and executing system filtering updating to obtain a pose of the carrier. According to the invention, the positioning precision of the visual inertiaodometer in a filtering mode can be improved.

The invention belongs to the field of navigation satellite applications and data processing, in particular to a new GNSS observation value data compression and decompression method which comprises the compression and the decompression of rough coordinates and antenna height information in GNSS observation values, the compression and the decompression of time data based on a sexagesimal system, the compression and the decompression of satellite numbers based on the sexagesimal system, the compression of the GNSS observation values based on the sexagesimal system and the recurrence differentialalgorithm, and the integration of the GNSS observation values based on the sexagesimal system and the recurrence integration algorithm.