1194 results about "Modelling analysis" patented technology

Nonlinear generalized dynamic regression analysis system and method of the present invention preferably uses all available data at all time points and their measured time relationship to each other to predict responses of a single output variable or multiple output variables simultaneously. The present invention, in one aspect, is a system and method for predicting whether an intervention administered to a patient changes the physiological, pharmacological, pathophysiological, or pathopsychological state of the patient with respect to a specific medical condition. The present invention uses the theory of martingales to derive the probabilistic properties for statistical evaluations. The approach uniquely models information in the following domains: (1) analysis of clinical trials and medical records including efficacy, safety, and diagnostic patterns in humans and animals, (2) analysis and prediction of medical treatment cost-effectiveness, (3) the analysis of financial data, (4) the prediction of protein structure, (5) analysis of time dependent physiological, psychological, and pharmacological data, and any other field where ensembles of sampled stochastic processes or their generalizations are accessible. A quantitative medical condition evaluation or medical score provides a statistical determination of the existence or onset of a medical condition.

A process and device for detecting colon cancer by classifying and annotating clinical features in video data containing colonoscopic features by applying a probabilistic analysis to intra-frame and inter-frame relationships between colonoscopic features in spatially and temporally neighboring portions of video frames, and classifying and annotating as clinical features any of the colonoscopic features that satisfy the probabilistic analysis as clinical features. Preferably the probabilistic analysis is Hidden Markove Model analysis, and the process is carried out by a computer trained using semi supervised learning from labeled and unlabeled examples of clinical features in video containing colonoscopic features.

The present invention provides systems and methods for facilitating financial advising and planning for a user using a portfolio reconciler module. In accordance with an exemplary embodiment of the present invention, the system includes a portfolio integration module for facilitating integration of a user's goals, assets, savings, and risk tolerance to facilitate analyzing and developing a customized strategy for financial portfolio planning of the user. A portfolio reconciler module in communication with the portfolio integration module facilitates comparison of the customized strategy to other strategies and projected user financial decisions in order to further facilitate the financial portfolio planning of the user. A stochastic modeling module in communication with the portfolio integration module and the portfolio reconciler module for facilitating use of data from the portfolio integration module and the portfolio reconciler module in a stochastic modeling analysis using a synchronous stationary bootstrap sampling method to facilitate creation of a proposed situation portfolio for the user. A simulator module in communication with the portfolio integration module, the portfolio reconciler module, and the stochastic modeling module for facilitating forecasting the effects of the proposed situation portfolio on the user's portfolio, and monitoring, simulating, designing, and testing the portfolio integration module, the portfolio reconciler module, and the stochastic modeling module.

The present invention provides systems and methods for facilitating financial advising and planning for a user using a simulator module. In accordance with an exemplary embodiment of the present invention, the system includes a portfolio integration module for facilitating integration of a user's goals, assets, savings, and risk tolerance to facilitate analyzing and developing a customized strategy for financial portfolio planning of the user. A portfolio reconciler module in communication with the portfolio integration module facilitates comparison of the customized strategy to other strategies and projected user financial decisions in order to farther facilitate the financial portfolio planning of the user. A stochastic modeling module in communication with the portfolio integration module and the portfolio reconciler module for facilitating use of data from the portfolio integration module and the portfolio reconciler module in a stochastic modeling analysis using a synchronous stationary bootstrap sampling method to facilitate creation of a proposed situation portfolio for the user. A simulator module in communication with the portfolio integration module, the portfolio reconciler module, and the stochastic modeling module for facilitating forecasting the effects of the proposed situation portfolio on the user's portfolio, and monitoring, simulating, designing, and testing the portfolio integration module, the portfolio reconciler module, and the stochastic modeling module.

The present invention provides systems and methods for facilitating financial advising and planning for a user using a stochastic modeling module. In accordance with an exemplary embodiment of the present invention, the system includes a portfolio integration module for facilitating integration of a user's goals, assets, savings, and risk tolerance to facilitate analyzing and developing a customized strategy for financial portfolio planning of the user. A portfolio reconciler module in communication with the portfolio integration module facilitates comparison of the customized strategy to other strategies and projected user financial decisions in order to further facilitate the financial portfolio planning of the user. A stochastic modeling module in communication with the portfolio integration module and the portfolio reconciler module for facilitating use of data from the portfolio integration module and the portfolio reconciler module in a stochastic modeling analysis using a synchronous stationary bootstrap sampling method to facilitate creation of a proposed situation portfolio for the user. A simulator module in communication with the portfolio integration module, the portfolio reconciler module, and the stochastic modeling module for facilitating forecasting the effects of the proposed situation portfolio on the user's portfolio, and monitoring, simulating, designing, and testing the portfolio integration module, the portfolio reconciler module, and the stochastic modeling module.

The invention relates bridge structure safety evaluation technology by means of combining vibration measuring and structural model analysis techniques for bridge erosion evaluation and pre-warning monitoring applications. This technology can also be applied for long-term bridge structure monitoring and safety evaluation as well as judgment and evaluation of rail structure abnormality.

A method of predicting earth stresses in response to changes in a hydrocarbon-bearing reservoir within a geomechanical system includes establishing physical boundaries for the geomechanical system, acquiring logging data from wells drilled, and acquiring seismic data for one or more rock layers. The well and seismic data are automatically converted into a three-dimensional digital representation of one or more rock layers within the geomechanical system, thereby creating data points defining a three-dimensional geological structure. The method also includes (a) applying the data points from the geological structure to derive a finite element-based geomechanical model, and (b) initializing a geostatic condition in the geomechanical model, and then running a geomechanics simulation in order to determine changes in earth stresses associated with changes in pore pressure or other reservoir characteristics within the one or more rock layers.

The stereo in-situ ecological urban water system repairing process tackles polluted water via the quantitative analysis on the water. The technological scheme includes physical simulation and mathematic model analysis, microbe inoculation and culture, constituting refluxing ecological filter bed, purification with biocarrier, artificial aeration, purifying upper water, pre-treatment in the blow down port, establishing water ecological system balance, perfecting water environment data, etc. The present invention realizes the comprehensive tackling of urban water system.

A system for correctly evaluating a price distribution and a risk distribution for a financial product or its derivatives introduces a probability density function generated with a Boltzmann model at a higher accuracy than the Gaussian distribution for a probability density. The system has an initial value setup unit and an evaluation condition setup unit. Initial values include at least one of price, price change rate, and the price change direction of a financial product. The evaluation conditions include at least time steps and the number of trials. The Boltzmann model analysis unit receives the initial values and the evaluation conditions, and repeats simulations of price fluctuation, based on the Boltzmann model using a Monte Carlo method. A velocity / direction distribution setup unit supplies the probability distributions of the price, price change rate, and the price change direction for the financial product to the Boltzmann model analysis unit. A random number generator for a Monte Carlo method employed in the analysis by the Boltzmann model, and an output unit displays the analysis result. A dealing system applies the financial Boltzmann model to option pricing, and reproduces the characteristics of Leptokurcity and Fat-tail by linear Boltzmann equation in order to define risk-neutral and unique probability measures. Consequently, option prices can be evaluated in a risk-neutral and unique manner, taking into account Leptokurcity and Fat-tail of a price change distribution.

The present invention discloses a method for analyzing structure safety, and the method uses valid vibration measurement signals to obtain mutual feedbacks for a structural model analysis and a calibrated structural model to simulate a disaster situation to obtain the critical force exertion and deformation scale of a structure. The method is applied to capture the stability index of the structure to analyze the structure safety or applied for a structure safety evaluation or a health monitoring, or even for a structure multi-hazards safety determination.

A method of distributing load amongst two or more computer system resources. The method includes distributing load to the system resources in accordance with their modeled response times and a predetermined Service level Agreement (SLA) associated with each system resource. By modeling the response time of each resource, load can be distributed with a view to maintaining response times within a predetermined Service level Agreement (SLA). The response time may be modeled by analytical modeling, which uses a queuing network model for predicting the response time, typically along with other parameters such as, utilization, throughput and queue length.

The invention discloses a shield construction method of digging three parallel tunnels under a trunk railway, which belongs to the field of tunnel construction technology. The construction method of the invention comprises the procedure that: the model analysis on each construction sequence and method is made by a three-dimensional finite element and the shield construction sequence is selected; to select the reinforcement project of the railway bed is selected according to the influence degree of the dynamic stress, the load-carrying structural model is adopted to calculate and decide the shield area reinforcing bars enhancement project under the dynamic load of the railway train; the construction parameters are selected according to the test results and the performance of the shield machine, the front earth pressure is reasonably set , the synchronizing mortar injection is enhanced, the forward digging speed and the axis deviation are strictly controlled, the secondary mortar injection is made, the foam or mud is filled by utilizing a pre-embedded injection hole; the strict monitoring measures to monitor the shield construction process is adopted so that the construction unit can adjust the construction parameters in time and guarantee the construction safety. The invention not only guarantees the construction quality and the construction safety of the project but also creates good economic benefit.

The invention discloses a position recommendation system based on a knowledge base. The position recommendation system based on the knowledge base comprises a human resource proprietary knowledge base construction module, a talent information crawling module, an information extraction, fusion and comparison module and a position recommendation module, wherein the human resource proprietary knowledge base construction module is used for constructing a proprietary knowledge base relevant to human resources; the talent information crawling module is used for crawling and integrating personal information related to an applicant; the information extraction, fusion and comparison module is used for analyzing and processing data obtained by fetching and is used for mapping and comparing talent requirements and positions so as to carry out modeling analysis on user demands; and the position recommendation module is used for carrying out position query on a user to be recommended and carrying out recommendation according to relevancy, interest and the information of a circle of friends. The proprietary knowledge base is established by aiming at a specific field, i.e. the human resources, and the knowledge base is effectively utilized to realize on-line precise position recommendation for users.

An analytic apparatus and method is provided for diagnosis, prognosis and biomarker discovery using transcriptome data such as mRNA expression levels from microarrays, proteomic data, and metabolomic data. The invention provides for model-based analysis, especially using kernel-based models, and more particularly similarity-based models. Model-derived residuals advantageously provide a unique new tool for insights into disease mechanisms. Localization of models provides for improved model efficacy. The invention is capable of extracting useful information heretofore unavailable by other methods, relating to dynamics in cellular gene regulation, regulatory networks, biological pathways and metabolism.

The invention relates to the technical field of man-machine interaction, and discloses an information processing method and device for realizing intelligent question answering. The information processing method comprises the following steps of: carrying out sentence segmentation on question text information to obtain a user question; and searching a standard question most similar to the user question and corresponding answer information from a QA library on the basis of a question similarity. Compared with the existing keyword retrieval-based question answering method, the method disclosed by the invention does not need to require the users to have keyword decomposition ability, is automatic in the whole process and is capable of greatly enhancing the user experience and improving the search effect and the pertinence and effectiveness of answers. Meanwhile, through fusing natural language understanding technologies such as sentence model analysis, lexical analysis and lexical meaning extension, and carrying out comprehensive calculation on multi-dimensional similarity, the method is capable of improving the correctness of a final sentence similarity in a Chinese automatic question answering process, and enabling a Chinese intelligent question answering system to be possible.

The invention provides a teaching quality evaluation system based on human face analysis, which belongs to the technical field of intelligent detection and analysis and solves the technical problem of modeling analysis between the teaching quality and classroom performance of a student. According to the teaching quality evaluation system based on human face analysis, the following several parts are included: S1, a human face recognition attendance module, S2, human face posture analysis, S3, facial expression analysis, S4, building of the relationship between the classroom performance and the evaluated teaching quality based on big data analysis, S4, a teaching quality evaluation method based on classroom performance, and S6, a teaching quality feedback mechanism based on big data analysis. The teaching quality evaluation system based on human face analysis has the advantages that through modeling analysis, the teaching quality is improved, and the teaching quality evaluation can be quantized.

The present invention discloses a hypersonic flight vehicle adaptive fault-tolerant control method of considering attack angle constraint which is used to solve the technical problem that a conventional hypersonic flight vehicle control method is poor in practicality. The method of the technical scheme is characterized by limiting a flight vehicle attack angle within a given range to guarantee the normal work of a scramjet engine; aiming at the fault case of an actuator, giving out a robust adaptive adjusting and controlling strategy, and utilizing a redundancy control mechanism to effectively compensate the influence brought by the failure to guarantee the safety of a system. Aiming at the model uncertainty, the method of the present invention combines the amplitude limiting design and a Barrier type lyapunov function to give out a controller, thereby being able to guarantee that the attack angle can be restrained within the given range, and guaranteeing the normal work of the scramjet engine. By using a neural network to learn and process the model uncertainty to substitute for the linear parameterization processing, the model analysis is simplified, and the actual application is convenient. Aiming at the fault case of the actuator, the redundancy control mechanism is utilized to compensate the influence brought by the faults effectively and adaptively, thereby being good in practicality.

The invention provides an imaging analysis system of a data model. The imaging analysis system of the data model is used for carrying out analysis processing of data models in an online analytical processing system. The imaging analysis system of the data model comprises a model acquisition unit, a model analysis unit, an identification generation unit and a model generation unit, wherein the model acquisition unit is used for acquiring the built data model, the model analysis unit is used for analyzing a fact table, a dimension table and an incidence relation between the fact table and the dimension table according to the building mode of the data model, wherein the fact table and the dimension table correspond to the data model, and the identification generation unit is used for respectively generating pixel identifications which correspond to the fact table, the dimension table and the incidence relation, the model generation unit is used for using all pixel identifications to generate a pixel model so as to display the pixel model. The invention further provides an imaging analysis method of the data model. According to the technical scheme of the imaging analysis system of the data model and the imaging analysis method of the data model, parts of entities in the data model and incidence relations among the entities can be described, and meanwhile the imaging analysis system of the data model and the imaging analysis method of the data model also can carry out retrospect analysis of sources of data models based on an image described, and thus visualized analysis of the data models is achieved.

The invention discloses a service platform integration method based on big data. The method comprises the following steps: (1) acquiring multi-source heterogeneous data; (2) integrating the acquired multi-source heterogeneous data, and storing the integrated data in an Hbase database; (3) using Hive to perform ETL treatment on the integrated data which is stored in the Hbase database, and storing in the Hbase database, cleaning the data which is stored in the Hbase database, to obtain clean data, and storing the clean data in the Hbase database; (4) based on an Hadoop technology, performing modeling analysis on the obtained clean data, and storing an analysis result in an Hive database; (5) using a service-oriented architecture based on SOA to establish a data exchange and shared service bus, and then based on the service bus, establishing a data exchange architecture, and through the data exchange architecture, pushing the analysis result which is stored in the Hive database to a business application system database. The method effectively reduces communication cost and time cost, and improves data effective utilization rate.

This framework provides for the creation, (re)use, and management of Domain specific Code Units as basic building block for Domain neutral Visual Programming environments. Code Units are Application Programming Interfaces (API). Users create and maintain Code Units definitions (including implementations, visual representations and / or standard Model representations for Model based development) for specific programming Domain and they or others can then use or extend the created Code Units both through the code and / or the provided visual programming on the said Domain. The semantics of “instrumented”, thus fully integrate-able to Visual environment Code Units applied to different programming Domains provide support for very rich, location transparent (i.e.—both local and remote “discovered” Code Units are supported), easy to implement and minimal “usage” footprint Visual Design and Development, two-way code generation, and generated program execution, representations of Code Units instances as Visual Entities and Models, Model Transformations and Model Analyses.

The invention relates to a trajectory data-based signal intersection periodic flow estimation method. The method comprises the following steps that: 1) the trajectory point data of sampled vehicles are acquired, and the key point information of the vehicles entering and leaving a queue is obtained; 2) a fitting method is adopted to estimate the queuing waves and evanescent waves of vehicle queuing, and the intersection point of the queuing waves and the evanescent waves is taken as the flow estimated value of queuing vehicles; 3) the density distribution function of full-cycle flow is obtainedaccording to the flow estimated value, and the proportion of non-stop vehicles in the full-cycle flow; and 4) a full-cycle flow estimation problem is transformed into a parameter estimation problem based on the Poisson distribution and M3 distribution of the non-queuing vehicles according to the density distribution function of the full-cycle flow, and a maximum likelihood estimation method is used to perform estimation, and the maximum-likelihood expectation-maximization method is adopted to perform solving, and the estimated value of the arrival flow of each cycle can be obtained. Comparedwith the prior art, the method of the present invention has the advantages of the fusion of model analysis and statistical analysis, the full use of trajectory information, wide applicability and thelike.

The invention discloses a time sequence analysis-based storm surge disaster early warning system, which comprises a database server, an early warning prediction model analysis module, an assistant decision making system, a Web server and a management user, wherein the database server stores historical monitoring data, real-time monitoring data, basic geographic information data, emergency plan data, related calculation model data and early warning data; the monitoring data and the early warning data are time sequence data; the early warning prediction model analysis module is mainly used for preprocessing the data, piecewise linearly expressing the time sequence data to fulfill dimension reduction and compression aims, performing similarity matching on the time sequence data and the historical monitoring data, and performing disaster early warning according to a similarity matching result; and the assistant decision making system displays assistant decision making information on the basis of geographical graphic information, and displays the assistant decision making information to a client of the management user through the deployed Web server.

Disclosed are improved methods, systems, and computer program products for predicting performance, manufacturability, and reliability (PMR) using concurrent model analyses for electronic designs. Various embodiments of the present invention disclose a method for predicting PMR with concurrent process model analysis in which a method with concurrent model(s) generate a design for the one or more layers in the electronic circuit. The method then analyzes the impact of the processes or techniques for feature geometric characteristic predictions or PMR evaluations, based upon the concurrent models. Results may be reported to the users, or the method may modify the designs to accommodate the variations and determines one or more parameters based upon the concurrent models. One embodiment determines the impact of concurrent model on one or more of performance, manufacturability, and reliability criteria.

The invention provides an electromagnetic transient state simulating method of a double-fed wind power generation set system with a variable speed and a constant frequency, relates to a wind power generation system, and in particular relates to a method for the modeling analysis of a double-fed wind power generation set system by using computer programs. The method comprises the following steps: establishing a wind power model to simulate the wind power absorbed by a wind turbine; establishing a wind turbine shafting model; establishing a propeller pitch control system model; establishing an electrical simulation model of a double-fed asynchronous induction motor; establishing a controller model of a frequency converter on the side of a power grid and the frequency converter on the side of a rotor; establishing a double-fed wind turbine stand-alone infinity system model by using a wind power generation set simulation module; setting a simulated operation condition and a failure state of the power generation set system; and carrying out an electromagnetic transient simulation, thereby verifying the setting value and the rationality of the protective system. According to the invention, the detailed models conforming to the physical properties of the double-fed wind power generation set system with the variable speed and the constant frequency are established to carry out simulations on the electromagnetic transient state and the electromechanical transient state, so that the dynamic properties of a wind turbine under various failure and working conditions are investigated. Therefore, the simulations of the wind turbine in large-scale power grids are realized possibly.

The invention relates to a regulation and storage design and model verification method for mountain parks built on the basis of sponge city concept. The method comprises following steps: A. determining the annual runoff volume control rate of a mountain park; B. initially bringing up LID module control indexes according to the annual runoff volume control rate of a mountain park; C. calculating the regulation and storage volume of each LID module according to the LID module control indexes, adjusting the LID module control indexes so that the regulation and storage volume of gray regulation and storage devices is no more than a preset value and obtaining the regulation and storage volume of the LID module; D. module layout; E. model analysis. The method puts the idea of sponge city into practice comprehensively; the construction of mountain parks and the building of sponge city are integrated; the design method of constructing sponge parks is further fulfilled so as to realize natural accumulation, penetration and purification of rainwater by the mountain parks.

A system and method for modeling technology to predict accurately water-oil relative permeability uses a type of artificial neural network (ANN) known as a Generalized Regression Neural Network (GRNN) The ANN models of relative permeability are developed using experimental data from waterflood core test samples collected from carbonate reservoirs of Arabian oil fields Three groups of data sets are used for training, verification, and testing the ANN models Analysis of the results of the testing data set show excellent correlation with the experimental data of relative permeability, and error analyses show these ANN models outperform all published correlations

The invention discloses a channel sandstone reservoir identification method. The method includes: acquiring seismic response features of channel sand by performing forward modelling on reservoirs, and determining channel-sand seismic identification marks of different geologic bodies; extracting corresponding seismic attributes according to the channel sand seismic identification marks, and determining a channel boundary; under an isochronous stratigraphic frame, determining sedimentary periods of the channel sand by the aid of the stratal slice technique; determining the thickness of the channel sand according to the statistical fitting relation of the real well-drilling sand thickness and the seismic attributes. According to the method, the channel sand identification and description technology is created by going deep into seismic attribute extraction and analysis, utilizing the reservoir of the fixed well, reservoir calibration results and statistical analysis of well drilling and combining forward model analysis results. Channel sandstone reservoirs of ultra-deep layers, thin sand layers and narrow channels can be identified and described accurately, and influence of seismic resolution is less.

The invention relates to a cross-time multi-dimensional abnormal data monitoring method and system. The method includes: collecting Web logs and OLA log queries to obtain website information, delivery advertisement information and user information; cleaning obtained heterogeneous data by employing Python in a Spark environment, generating an electronic table corresponding to each dimension, and preparing modeling analysis; establishing a normal advertisement click behavior model by employing a GBDT algorithm; conducting a modeling analysis on an abnormal data sample by employing a support vector machine, and establishing an abnormal advertisement click behavior model; and generating a cheating click monitoring model, and deploying an online anti-cheating model. According to the method and system, the problems of fusion analysis of various heterogeneous data and small sample classification accuracy are solved by employing machine learning and cloud computing technologies through monitoring of cheating Internet advertisement traffic, subsequent Internet advertisement click data can be recorded and analyzed in a whole machine learning chain, the anti-cheating model is improved, and the accuracy of advertisement delivery can be better achieved.

Disclosed is an improved method, system, and computer program product for timing closure with concurrent models for fabrication, metrology, lithography, and / or imaging processing analyses for electronic designs. Some embodiments of the present invention disclose a method for timing closure with concurrent process model analysis in which a design tool with such concurrent models generates a design for the one or more interconnect levels. The method or system then analyzes the effects of the concurrent models to predict feature dimension variations based upon the concurrent models. The method or system then modifies the design files to reflect the variations and determines one or more parameters based upon the concurrent models. One embodiment then determines the impact of concurrent models upon the electrical and timing performance.

A safety-analysis system for a complex system such as an aircraft includes a system modeler and model-analysis system. The system modeler is configured to receive component fault-based models of respective components of which a system is composed, such as from a library of component fault-based models in storage. The component fault-based models include transfer functions expressed as fault trees each of which describes behavior of a respective component in an event of a failure of the respective component or of an input to the component. The system modeler is also configured to assemble the component fault-based models into a system fault-based model of the system, with the system fault-based model including a transfer function expressed as an assembly of the fault trees of the component fault-based models. The model-analysis system, then, is configured to perform a safety analysis using the system fault-based model.