31 results about "Robust analysis" patented technology

A system and method for automatically analyzing an object for malware is described. Operating one or more virtual machines, the system and method provide an analysis environment variation framework to provide a more robust analysis of an object for malware. The multi-application, multi-plugin processing framework is configured within a virtual machine, where the framework generates a plurality of processes for analyzing the object for malware and each of plurality of processes is configured with a different application and plug-in combination selected based in part on a type of object being analyzed.

The invention discloses a microminiature unmanned aerial vehicle longitudinal control method with random delay of a distributed network, and belongs to the field of flying control technology. The method includes firstly setting up an unmanned aerial vehicle longitudinal system model and designing a flying control system without network delay, secondly carrying out random robustness analysis and design on the flying control system on the condition of different network random delay, ensuring a gain scheduling strategy of the flying control system, and lastly carrying out closed-loop six-free-degree freedom nonlinear Monte-Carlo simulation verification. According to the control method, deterioration of quality of the flying control system due to network delay is relieved, and stability of the distributed type system can be strengthened. Through utilization of the random robust analysis and design method and the gain scheduling strategy based on linear interpolation, the obtained control has the advantages of being simple, and facilitating engineering realization. Control quality of an original system can be well maintained on the condition of changes of large network delay.

A robust object segmentation method for analysis of biological activity receives an input image and performs segmentation confidence mapping using the input image to generate segmentation confidence map output. A thresholding is performed using the object segmentation confidence map to generate a high confidence object mask output. An object segmentation confidence mapping method for analysis of biological activity receives an input image and performs segmentation decision to create segmentation decision result. A difference operation is performed to generate the segmentation decision result. A confidence mapping is performed using the difference result to generate segmentation confidence. An object level robust analysis method for biological activity receives an input image and performs object segmentation using the input image to create object segmentation result. A robust object feature measurement is performed to generate robust object feature result. An FOV level robust analysis method for biological activity receives a plurality of object feature results and performs robust FOV summary feature extraction to create robust FOV summary features. A FOV regulated feature extraction is performed to generate FOV regulated features. A FOV regulated feature extraction method for biological activity receives a plurality of object feature results and performs control object selection using the plurality of object feature results to generate control objects output. A FOV regulated feature extraction is performed to generate FOV regulation features output. An object feature FOV regulation is performed using the plurality of object feature results and the FOV regulation features to generate FOV regulated object features output. A sample level robust analysis method for biological activity receives a plurality of FOV feature results and performs robust sample summary feature extraction to create robust sample summary features. A sample regulated feature extraction is performed to generate sample regulated features. An assay level robust analysis method for biological activity receives a plurality of sample feature results and performs robust assay summary feature extraction to create robust assay summary features. An assay regulated feature extraction is performed to generate assay regulated features.

Systems and methods for telemetric communication between a handheld programmer and an implantable medical device are disclosed. A preferred embodiment comprises a user-friendly, color, touch-sensitive screen that allows the user to visually observe and control the handheld's operation. The handheld further comprises an internal and / or external analytical means to provide robust analytical capabilities. Some embodiments of a system disclosed herein can be configured as a component of an Advanced Patient Management System that helps better monitor, predict and manage chronic diseases.

A system and method for automatically analyzing an object for malware is described. Operating one or more virtual machines, the system and method provide an analysis environment variation framework to provide a more robust analysis of an object for malware. The multi-application, multi-plugin processing framework is configured within a virtual machine, where the framework for configuring a plurality of processes for analyzing the object for malware and each of plurality of processes is configured with a different application and plug-in combination selected based in part on a type of object being analyzed and operating concurrently with each other.

The present invention provides a novel biosensor and measuring method. The novel biosensor of the present invention comprises an electrode having a nanopore structured and catalytically active cyclodextrin attached thereto. The biosensor of the present invention has demonstrated robust analytical performance for direct glucose measurement without mediators or without using native enzyme, which is especially beneficial in the hypoglycemia range.

A tissue measurement device can provide for rapid, robust analysis of large volumes of plant tissue samples in the field. The tissue measurement device measures tissue samples in a liquid state. The tissue measurement device uses a spectrometer to determine an absorbance spectrum over a range of wavelengths. The absorbance spectrum provides information about the properties of the tissue sample. Tissue samples may be mixed with various extractants or reagents to further improve the accuracy of measurements or allow measurement of a wider variety of nutrients or properties. The tissue measurement device may also take calibration measurements to improve the measurement of tissue sample properties.

A method and system enables efficient and robust analysis of pharmacokinetic data. The method includes providing data of a plurality of pharmacokinetic time activity curves (TACs), wherein each pharmacokinetic TAC corresponds to a portion of the pharmacokinetic data; generating a first set of parameters of a pharmacokinetic mode!, the first set of parameters providing a first estimate of kinetic parameters of a first pharmacokinetic TAG of the plurality of pharmacokinetic TACs; and associating the first set of parameters with a second pharmacokinetic TAG of the plurality of pharmacokinetic TACs, wherein the first set of parameters additionally provides a first estimate of kinetic parameters of the second pharmacokinetic TAG.

The invention belongs to the field of control, and provides a design method for a robust fault detection filter (RFDF) on the basis of a parameter-dependent Liapunov function method. A PDLF method is introduced into robust fault detection of a linear time-constant system with convex polyhedron non-determinacy. During processing of the RFDF design, the problem is distinguishing faults and other interference, which is remarkably different from robust analysis and control. An H_ / H infinite normal form is adopted, which comprises two phases: (1) an optimal RFDF design method of a residual error generator with certain interference attenuation and maximum fault sensitivity, and (2) a method for designing a threshold value for a residual error generated by estimation.

The invention relates to a face shield identification method for identifying a face in front of an ATM. The method comprises the following steps: the ATM sends a trigger signal to start real-time video acquisition and identification function after an ATM user inserts a bank card; during identification, firstly a moving area is collected by using a background modeling technology, and accurate robust analysis and judgment are performed on four face characteristic shield conditions. If the face characteristic shield conditions pass the detection, reliability verification can be further performed so as to guarantee the detection accuracy; the detection results are fed back to the ATM by communication network; the ATM decides whether to allow the ATM user to withdraw money. The method disclosed by the invention can ensure that the face information of the ATM user is clearly recorded whenever the ATM user withdraws money, prevents failed identification caused by incomplete face information during a video tracing process, prevents embezzling of bank cards, guarantees the safety of the bank cards and further improves the safety protective capability of a traditional ATM.

The invention relates to the technical field of reliability and robustness analysis, and puts forward a decomposition method for structure mechanism failure probability sensitivity on the basis of a Copula function. The method comprises the following steps that: showing a multidimensional variable joint distribution function as a Copula function form so as to establish a relational expression, which is disclosed in the following diagram, of the multidimensional random variable joint distribution function and a marginal probability density function, wherein fX(x) is a joint probability densityfunction, C(u1,...,un) is the Copula function, and fXi(xi) is the marginal probability density function; and on the basis of the relational expression, decomposing the structure mechanism failure probability sensitivity into a sum of independent sensitivity and relevant sensitivity. By use of the method, the Copula function is introduced to describe the joint probability distribution of an input variable, the failure probability sensitivity is decomposed into the independent sensitivity and the relevant sensitivity so as to separate the influences of variable dependency and independence independently for the calculation of the failure probability sensitivity, and a technical method obtained by searching provides a theoretical basis for design personnel to measure the functions of input variable dependency and independence in the analysis of the failure probability sensitivity.

The invention discloses a modeling method of a formation stochastic control system for missile autonomous formation with multiplicative noise, and belongs to the technical field of aircraft formationnavigation, guidance and control. The modeling method takes the formation stochastic control system for missile autonomous formation as a research object, and the obtains a stochastic system model forformation control by performing analysis and modeling on the formation stochastic interference and introducing stochastic factors into a formation model. For the control problem of the formation stochastic model for missile autonomous formation, the modeling method uses an estimator to estimate the system state, and uses a stochastic robust analysis and design method (SRAD) to optimize the estimator and controller of the formation stochastic model, so that the parameters of the controller can meet the requirements of stability and performance.

Methods, systems and devices for identifying, classifying, modeling, and responding to mobile device behaviors may include using lightweight processes to monitor and analyze various conditions and device behaviors to detect an instance of a non-benign behavior, increasing a level of security or scrutiny to identify other instances of non-benign behavior, and notifying select computing devices of the increased security risk so that they may also increase their security / scrutiny levels. For example, a computing device may be configured to perform a first type of analysis operations (e.g., lightweight analysis operations) to determine whether there is an increased security risk, and perform a second type of analysis operations (e.g., robust analysis operations) in response to determining that there is an increased security risk to determine whether there are additional security risks that are different from the security risk detected via the performance of the first type of analysis operations.

The invention discloses a noise suppressing method capable of keeping a multi-spectral image thin-wire structure. The noise suppressing method includes the following steps of a, robust analysis of the partial direction, wherein under the condition of pulse noise interference, the partial direction of the edge and the thin-wire structure in a multi-spectral image is obtained; b, building of a partial weighting template, wherein the weights of all pixels in a neighborhood are determined according to the partial direction; c, direction weighted vector median filtering, wherein the weighting distance is calculated according to the weights, the weighting distance sum is calculated firstly, then the pixels are ranked according to the weighting distance sum, and the pixel value with the smallest weighting distance sum is found and serves out output. Pulse noise can be suppressed, the thin-wire structure in the image can be effectively kept, and the noise suppressing method is particularly suitable for noise reduction and characteristic strengthening of images and data with multiple channels like common colorful natural scene images, multi-spectral remote sensing images, medical multi-spectral images and seismic exploration data volumes.

A data model and associated systems and methods enable comprehensive and robust analysis based on a member-, employee-, and branch-centric data model. The data model is integrated in a manner in which common data entities for member, branch, employee and time, are related centrally to other data entities. This data structure enables breadth in reporting and analysis. The data model also provides depth in analysis and insight that may be gained from the data quickly, in real-time and without manual manipulation. Automation of reporting and analysis processes is also supported.

The invention relates to the technical field of analogue simulation methods, in particular to a stamping covering part springback analysis and compensation method based on AutoForm software. The stamping covering part springback analysis and compensation method comprises the steps that simulation analysis and sigma robustness analysis are conducted on a covering part tool body, and an optimized full-process scheme and an optimized clamping scheme are obtained through repeated iterative adjustment; a springback compensation result of the tool body is obtained according to the full-process scheme and the clamping scheme; a reconstructed tool body profile is redrawn according to a compensated tool body profile exported by the AutoForm software; and press deflection compensation work is conducted according to the reconstructed tool body profile and press equipment parameters, and final die machining data are obtained after compensation is completed. According to the stamping covering part springback analysis and compensation method based on the AutoForm software, the sigma robustness analysis process is introduced into a traditional springback compensation analysis method, the reasonable fluctuation conditions of various key elements in actual production are fully considered, thus the process scheme closer to the real condition is obtained, and the formability problems of cracking, wrinkling and the like are avoided.

The invention relates to the technical field of system robustness analysis and optimization design, in particular to an anti-icing cavity structure reliability design method, which comprises the stepsof establishing a structure model of an anti-icing cavity, and editing the structure model according to a preset value set for a preset structure variable to obtain at least one to-be-selected structure model; performing numerical simulation on the at least one to-be-selected structure model to determine an initial structure model; based on the influence of each preset structure variable on the failure probability of the initial structure model, determining a main optimization variable and an auxiliary optimization variable in the preset structure variables; and determining the value ranges of the main optimization variable and the auxiliary optimization variable according to a preset rule, and performing optimization design on the initial structure model based on the value ranges. According to the method provided by the embodiment of the invention, the initial structure model can be optimized in a targeted manner, so that better anti-icing and deicing effects are obtained.