117 results about "Factor method" patented technology

Methods for determining statistical models for predicting disease risks of a population are provided. Two types of data associated with members of the population are collected. The data may include both genetic and non-genetic types of data. A candidate statistical model is selected for calculating the disease risk. The model has a plurality of parameters and is a function of only one of the two types of data. A data weight is determined for each member of the population. Members having like data of the other type have like weights. The parameters of the model are optimized by fitting the collected data to the model taking into account of the weights.

Method and apparatus for determining local impedance factors in an electromagnetic energy system for treating patients is disclosed. Respective measurement signals are sent through a patient treatment zone and a local impedance factor is estimated based upon the measurement signals. The estimated impedance factor is used to determine appropriate therapeutic levels of energy for patient treatment.

The invention discloses a cloud computing based real-time mass user behavior analyzing method and system. User behaviors and context data are collected by a client end in real time and pre-processed and clustered on the basis of a MapReduce model; ontology data are subjected to reasoning, and latest interests of users are analyzed in real time; a track recurrence algorithm on the basis of a user behavior context is provided for track filling; interest similarity of users is computed by a cosine factor method, an interest similarity matrix is established; a Markov transfer matrix and a collaborative filtering based Markov recommendation model are established to realize effective and precise recommendation. The user behaviors and context information are subjected to model establishment via ontology, and semantic-level sharing and reusing of large-scale behavior information are achieved via an Hbase (hadoop database) based ontology memory mode. Technologies of cloud-computing, the ontology, reasoning and knowledge discovering are combined, and problems in instantaneity, efficiency, large-scale memorizing and intelligentization in mass user behavior analysis are solved.

Method and system for periodically measuring the junction temperature of a semiconductor device. The junction exited by at least two sequential predetermined currents of different magnitudes the voltage response of the junction to the at least two currents is measured and the temperature of the junction is calculated, while substantially canceling ohmic effects, by using the voltage response and a correction factor obtained by periodically. Whenever desired, the junction is exited by a set of at least four sequential different currents having known ratios. The voltage response to the set is measured and the correction factor is calculated by using each voltage response to the set.

The invention discloses a system failure early warning method based on a baseline model and the Bayesian factor. The system failure early warning method based on the baseline model and the Bayesian factor can be applied to a dynamic complex system and particularly applied to early detection and warning of aerospace vehicle equipment failure. The method includes: using the multivariate state estimation technique to excavate the system 'individuation' baseline model on the basis of system state monitoring data; and using an actual measurement value of a system state parameter to subtract a baseline value so as to obtain a deviation value of a state parameter, analyzing a deviation value sequence by the aid of a Bayesian factor method, monitoring abnormalities of a sequence structure, and timely giving out failure early warning. The system failure early warning method based on the baseline model and the Bayesian factor solves the problems that dynamic complex system performance parameter deviation value dispersion is large, failure early characteristics are easily buried in noise, warning can be given out at the early stage of system failure, and sensitivity and robustness of the monitoring system are improved. Besides, the baseline model is easy to implement from the perspective of engineering, and the method is high in university and capable of meeting the requirements of the dynamic system on real-time monitoring.

The invention relates to a multidimensional data based detecting method of traffic abnormal spots. According to the method, for flow, speed and lane occupancy ratio data of each section, obtained by a microwave apparatus in a continuous period, historical jam probability of each section is calculated according to the speed data, positive and negative anomalies of each section are defined through comparing recent traffic state index values, anomaly degree is calculated for each section with the negative anomaly by means of a density-based local anomaly factor method, and weighted anomaly degrees are calculated according to positive and negative anomaly factors and are ranked. The method has the advantages that multi-index data is utilized, the uniformity in sample spatial data distribution is considered, local limitedness of the density-based local anomaly factor method is avoided the use of the features of traffic data, road abnormal spots can be effectively detected, the traffic administration is helped command the road traffic, service efficiency of roads is adjusted and optimized, and the method features high universality, high feasibility, high reliability and high applicability.

The invention discloses a geosynchronous orbit constellation orbit determination method based on ground station / satellite link / GNSS combined measurement. The method comprises the steps of (1) establishing the state equation of a GSO constellation orbit determination system in a centralized structure, (2) establishing the measurement equation of the GSO constellation orbit determination system in a centralized structure, (3) carrying out combined optimization of a ground station for orbit determination and GNSS measurement combination, (4) determining the filtering method for realizing orbit parameter estimation according to the above established GSO constellation combined orbit determination system model based on ground station / satellite link / GNSS, and (5) carrying out the concrete realization of a GSO constellation orbit determination method based on ground station / satellite link / GNSS in the centralized structure. According to the method, the combined distribution optimization strategy of ground station and GNSS measurement is established based on a precision factor, and the calculation amount is reduced while the orbit determination precision is ensured.

The invention discloses a polycrystal geometric modeling method. The polycrystal geometric modeling method comprises the steps that an MATLAB is utilized to generate a polycrystal pretexture, and a vertex coordinate value and marshalling sequence index value of each crystal face of each crystalline grain are gained; according to the obtained vertex coordinate value and the marshalling sequence index value, a geometric model of polycrystals are constructed in an ANSYS; then a grain orientation random factor method is adopted to generate each crystalline grain with random orientation, and aftera material parameter is given to each crystalline grain, mechanical model of a body-centered cubic polycrystal microstructure is obtained. The polycrystal geometric modeling method has the advantagesthat the problem that the coordination of unit attribution of every two adjacent crystalline grains is considered when unit attribution seed points are divided during modeling is solved; the implantation of a cohesion layer with the thickness is considered more conveniently, the use range of the model is expanded, and a foundation is laid for the subsequent research and optimization of BCC metal polycrystals.

A life settlement method is provided for fractionalizing a life insurance policy in response to economic circumstances of an insured having a life expectancy. The method may include the steps of determining a settlement payout goal in response to the economic circumstances of the insured; determining a policy market value of the life insurance policy in response to the life expectancy of the insured; calculating a settlement percentage in response to the settlement payout goal and the policy market value, the settlement percentage being representative of a percentage of the life insurance policy being assignable by the insured; and calculating a settlement payout in response to the settlement percentage, the settlement payout being payable to the insured in exchange for assignment of the settlement percentage.

Disclosed is a two-factor method for protecting access to content, device functionality accounts and the like through portable devices. A master device may facilitate a subordinate device's access to the on-line account by situating the master device in close proximity to the unauthorized user's portable device. Once within close proximity of one another, the devices may exchange information that may eventually allow the subordinate device to access an account, an application or the like.

The invention relates to a distinguishing method of the inrush current blocking of a transformer, which comprises the following steps: 1) judging whether the transformer is in no-load closing; 2) when the transformer is in load closing, adopting a conventional method to judge whether the protection blocking is started or not, when the transformer is in no-load closing, adopting a wave form factor method to judge the failure or the inrush current, if the judging result is inrush current, starting the protection blocking, and if the judging result is failure, opening the protection blocking. The method can judge the symmetrical inrush current better, and solves the problem that the differential protection to the symmetrical inrush current is easy to malfunction when the transformer air-drops.

The invention discloses a method for identifying baijiu of different brands by combining a three-dimensional fluorescence spectrum and a parallel factor, belonging to the technical field of baijiu identification. The method disclosed by the invention comprises the following steps: (1) obtaining the three-dimensional fluorescence spectrum data of baijiu of different brands by using a fluorescence spectrophotometer; (2) establishing an identification model of baijiu of different brands, namely decomposing the spectrum data by utilizing a parallel factor method, thus obtaining a loading matrix and a concentration score, and by taking the concentration score as input of a support vector machine, establishing an identification model of the brands of the baijiu; and (3) predicting the brands of the baijiu, specifically, for the predicted sample, performing testing to obtain the three-dimensional fluorescence spectrum data, and obtaining the concentration score by utilizing a genetic algorithm and by keeping the loading matrix invariable, inputting the concentration score into the identification model and outputting the predicted brand value. According to the method disclosed by the invention, a complicated chemical separation process is avoided, the method has the advantages of rapidness, safety, simplicity in operation, low price, nondestructive property and the like, and the identification model of baiju in different places of origin can be further established.

The invention belongs to the field of lithium battery model identification, and discloses an RLS lithium battery model parameter online identification method based on a variable forgetting factor, which comprises the following steps: acquiring lithium battery performance parameter information; Establishing a second-order lithium battery equivalent circuit model, and deducing a model identificationvector equation; Obtaining the OCV-SOC characteristic curve of the battery at different temperatures, and fitting the relationship expression of OCV-SOC; Calculating parameters of the model equationat the current moment according to an RLS method of the variable forgetting factor; Updating the forgetting factor value at the next moment; And collecting voltage and current values at the next moment, and enabling the second-order RC equivalent circuit model to be subjected to online parameter identification at the next moment by utilizing an updated forgetting factor RLS method. The method canquickly converge to a real value; And for time-varying lithium battery model parameters, compared with an RLS method of a fixed forgetting factor, the method has the on-line tracking capability of higher convergence rate and higher identification precision.

The invention discloses a method for detecting an infrared motion target in real time for background adaptive estimation. The method comprises the following steps of: (1) initializing a background model BG (0); (2) inputting a kth-frame original infrared image Xorg (k), wherein k is equal to 1, 2 to K; (3) restraining a space domain non-uniformity noise and a time domain random noise of the kth-frame original infrared image Xorg (k), and outputting an image Xdeal (k) which is subjected to noise restraint; (4) registering the image Xdeal (k), and outputting a registered kth-frame infrared image Xreg (k); (5) updating the background model, namely updating a background model BG (k) of the kth-frame infrared image by using an adaptive forgetting factor method; (6) performing difference operation on the kth-frame infrared image Xorg (k) and the background model BG (k), and outputting a difference operation result Xout (k); and (7) calculating the optimum segmentation threshold value Thopt of a target and a background in the Xout (k) according to a maximum inter-class variance theory to finish detection of the motion target. The method has the advantages that: by image pro-processing, the problem of over-sensitivity in noise and scene change in the conventional background difference method is effectively solved, and the detection probability of the target is improved.

A method is proposed for real-time economic dispatch in power system operation, especially in systems that include renewable power sources that may cause heavy deviations from a generation schedule due to their uncertain outputs. According to the method an optimal generation schedule is obtained based on forecasted load data. This schedule has to be adjusted if the actual load and renewable energy source outputs unexpectedly deviate from the forecasted value. An algorithm employed in the method is capable of dictating generation adjustments which minimize total generation costs. The algorithm is a modification of the base point and participation factor method. It differs from existing methods in that a precise model of transmission losses is adopted in the algorithm to achieve higher accuracy in optimization. The proposed method also has significant advantage in execution speed so that it is suitable for real-time operation.

The invention discloses a parameter optimization method considering inverter stability under a weak power grid for an LCL filter. The method comprises the following steps of S1, building an inverter grid-connected output impedance model; S2, analyzing influence of power grid impedance on stability of an inverter grid-connected system; S3, building a multi-target LCL filter parameter optimization model considering power grid impedance influence; S4, solving the optimization model by employing an improved compressibility factor method-based particle swarm optimization algorithm; and S5, optimizing the LCL filter parameter. The optimization model is suitably used for designing the LCL filter parameter under the weak power grid or a multi-inverter intensive connection condition, standard satisfaction is introduced into an estimation index, the optimization degree is quantitatively evaluated, much-aspect indexes such as filtering performance and economic cost can be compatible very well, and integral optimization on LCL filter and current ring parameters is achieved; and by the method, theoretical basis is provided for stability analysis of inverter intensive connection under a new energy station, and guidance is provided for designing the grid-connected inverter parameter under the weak power grid.

Methods and compositions are provided for lineage predetermination of cellular transplants including through liposome mediated transfection with aqueous protein extracts from populations of differentiated mammalian cells, or cellular fractions thereof, wherein the differentiated mammalian cells are enriched in one or more of adipocytes, chondrocytes, endothelial cells, hepatocytes, cardiomyocytes, smooth muscle cells, skeletal muscle cells, cardiac pacemaker cells, Schwann cells, pancreatic islet cells, hematopoietic cells, myeloblasts, neurons, and osteoblasts.

The invention discloses a multi-modal process fault detection method based on a local neighbor standardization matrix, and relates to an industrial process fault detection method. The method enables historical data at a normal state to serve as a training set of modeling data, and carries out multi-mode process modeling and fault detection through employing a local neighbor standardization matrix method. The method comprises the steps: carrying out the preprocessing of unequal-length batch data through employing a local weighting algorithm, determining the maximum retainable length of the unequal-length batch data in the training set, and reconstructing lost data points of the unequal-length batch data through weighing and k-neighbor information; constructing a main local neighbor standardization matrix for an equal-length training set, carrying out modal clustering through employing a K-means algorithm, and eliminating off-cluster samples at all modals through employing a local off-cluster factor method. The method can prevent information loss from affecting the modal clustering effect of a multi-modal process, eliminates off-cluster points, and enables the fault diagnosis result of a multi-modal intermittent process to be more accurate through the construction of the main local neighbor standardization matrix.

Authorizing remote access points for use in a network: A remote access point contains identity information established during manufacturing; this identity information may be in the nature of a digital certificate which can be used to establish a secure connection between networked entities. After the remote access point is provisioned to communicate securely to a controller using its TCP / IP address provided by a user, the remote access point is put into an un-authorized state by the controller pending further authorization. The user is presented with a secure captive portal page authenticating the end-user. This authorization may be through entering a user name and password, through presenting a certificate, through two-factor methods, or other methods known to the art. User's authentication credentials are verified by the controller. Optionally this verification can be performed using a per-user certificate. After the remote access point has been authorized, the controller marks it verified as a fully functional node, and saves this state. The user performing the authorization is associated with the remote access point, and may be used to monitor the usage and potentially revoke the authorization. The remote access point is provisioned with the current provisioning parameters for the remote access point as configured by the IT administrator for the end user, so that each remote access point can have unique per-user configuration applied.

The invention relates to a line source time domain electromagnetic response numerical calculation method based on meshless method, particularly a numerical simulation which can overcome dependence on mesh in the conventional numerical calculation method and is suitable for time domain electromagnetic surveying under complex terrain. In the line source time domain electromagnetic response numerical calculation method based on meshless method, based on a governing equation and a definite condition which the transient electromagnetic method satisfies, a generic function of a two-dimensional line source boundary value problem is established, essential boundary conditions are loaded through a penalty method, a paraxial approximate equation is provided to eliminate reflected waves at truncated boundaries, time discretization is carried out through a Crack-Nicolson format, and a recurrence equation is obtained. Based on an isoparametric element thought, units with regular shape in local coordinates are discretized to be irregular solving objects of which nodes are distributed at random. The recurrence equation is solved through a LU decomposition method, and finally, a field value of each node in a solving region is obtained. Calculation result shows that, with the method provided by the invention, a shape function has good smoothness, simulation precision is high, maximum error is not more than 1*10<-3>, and electromagnetic method high-accuracy numerical calculation is realized.

Methods and apparatus for implementing power management systems using a peak demand factor are described and disclosed herein. An exemplary method includes gathering load samples from a site, generating a plurality of peak demand factors based on the load samples, performing an analysis to determine feasible demand reduction based on the peak demand factors, such as by plotting the demand reduction against the peak demand factors and finding one or more points at which demand reduction is particularly advantageous, selecting a maximum percentage of peak reduction matched with a peak demand factor, and implementing a power management system corresponding to the selected peak demand factor. Embodiments disclosed may provide means for quickly determining a superior peak demand reduction strategy or configuration for a site, thereby reducing the time and labor costs of excessive experimentation presently used to implement demand management systems.

Methods and apparatus for determining transport block sizes for relaying backhaul subframes from a relay node to a donor base station are described. A transport block size may be adjusted at a relay node by an adjustment factor. The adjustment factor may be based on parameters such as propagation delay between the relay node and donor base station, a multiplexing configuration of control and data information in a relay node subframe, a switching time in a relay node subframe between a downlink and an uplink partition of the subframe, and / or other channel or configuration characteristics.

The invention belongs to the technical field of slope stability evaluation, and discloses a slope stability determination method for a slope geomechanical model and the application thereof. A safety coefficient expression established by the method can reflect two factors of overload and strength reduction. The method is a multi-factor method and more accords with engineering practice. The method comprises the steps of deriving an expression of an overload method safety coefficient Ksp according to a lifting instability failure principle; obtaining an expression of a slope strength reserve coefficient Kss according to the weakening principle of the mechanical parameters of the slope structural plane, wherein Kss is related to the weakening degree of the mechanical parameters of the structural plane; and deriving a comprehensive method test safety coefficient expression Ksc = Ksp * Kss. Meanwhile, according to a deformation process control theory, slope deformation initial damage featurepoints and slope sliding surface penetration feature points are proposed to serve as two control feature points of a slope comprehensive method model test when the slope is overloaded and the strength of the slope is reduced, and serve as a basic basis for calculating a comprehensive method safety coefficient.

This invention is a closs certification system to finger print and soundprint, by standard normalization factor method to normalize the indentified result of the fingerprint and soundprint certification of a common area to combine the two values to a new judging vector quantity to train the sample vector first to get the support vector to judge the results by mixing algorithm to get the final result by the method of support vector machine with the advantage of close identity certificating by multicharacters of living things (fingerprint, soundprint) to mix with the method of support vector machine to conbine the two identification results to raise the fault to learnce, lowering uncertainty and increasing the reliability of identifying the decision.

A body type factor method for quantizing the type of human body features that the type factor relative to the vector surface of human body is used for the digitalizing the kind and recognition of human body's types. Its measuring device is composed of base, upper and lower rollers, perforated rotary disk, vertical hollow measuring scale, and horizontal measuring scale. It can be used to optimize the design of clothes.

The invention discloses a multi-factor method for rapidly evaluating soil corrosivity. Establishment of an evaluation criterion comprises the following steps of: acquiring information of different soil samples in a region, screening key factors influencing soil corrosivity from multiple soil corrosivity factors by applying a factor analysis method, and judging the soil corrosivity grade by applying a fuzzy cluster analysis method. The invention provides a multi-factor soil corrosivity evaluating method of combining the factor analysis method and the fuzzy cluster analysis method, and the workload required for evaluating the soil corrosivity and the time required for evaluation can be greatly reduced, and the evaluation result is more approximate to the actual result and is more scientific, and a novel method is provided for deeply researching the relation between soil corrosivity factors and accusatively and rapidly evaluating the soil corrosivity.

The invention discloses a multi-feature fusion-based online academic report classification method. The method is characterized by comprising the steps of (1) collecting and building an academic report database and coarsely classifying an academic report into certain subjects homogenous with an organizer according to organizer information of the academic report in the database; (2) building a database of researchers in various fields around the country, matching the database with reporter information in the academic report and determining classification; (3) extracting a keyword in a data header of the academic report; (4) carrying out synonym feature expansion on the extracted keyword; (5) carrying out text classification on obtained features after synonym expansion; and (6) synthesizing the classification result to obtain the final classification result of the academic report. The academic report is classified through a multi-factor method, so that the classification speed and accuracy are ensured.