154 results about "Model development" patented technology

The invention discloses a design method for a distributed hydrological model by using a grid as an analog unit, which is called as ESSI for short. The design method comprises the following steps of: obtainment of a distributed parameter: converting vector data into grid data; generalization of a watershed hydrological process: establishing a universal runoff generating type for the grid; design of a runoff generating process: respectively computing the water-quantity distributing condition of each part according to different prior-period soil water conditions; design of a flow collecting process: respectively designing a Muskingum-Cunge method, a delay algorithm and a riverway segmentation Muskingum method for the flow collecting process computation of the model under different conditions; and model development and integration. The invention not only can finish the watershed hydrological process simulation at an arid region and a humid region, but also can realize the short-term flood forecast and the long-term rainfall-runoff process simulation and prediction of a watershed by using modularization and integration ideas as means, thereby providing scientific reference bases for deeply learning about the physical mechanism of water circulation by people, reducing the drought and water-logging disasters and reasonably developing and utilizing water resources.

The present invention discloses a software development tool that includes a model development interface, an aspect design tool, and a model transformation engine. The model development interface can permit a developer to graphically design at least one software model. The aspect design tool for the model development interface can be configured to permit a user to specify at least one aspect to be applied to a model of the model development interface. The model transformation engine can transform a model of the model development interface having at least one aspect defined via the aspect design tool into automatically generated aspect code integrated with base language code.

Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, and in which the project includes a series of user choice points and actions or parameter settings that govern the generation of the model based on rules, which direct the user to select and apply an optimal model.

A method of developing a model of a computer program represents the system requirement conditions and events as a set of positions and transitions, maps the system requirements in a table of positions with position and optionally transition designations, tags one or more significant positions in the including any conditional positions, and creates a reference designation associating alternative conditions with their respective conditional positions. A universal software test development method can be applied to the model by mapping the conditions to a set of positions including a starting position which has no input, a terminal position which has no output, and intermediate positions between the starting position and the terminal position, and generating from the set of positions a table of positions, associating each positions with an expression of the position representing the corresponding system requirements. Both the model development method and the test development method can be implemented automatically by computer software, and the test development method allows for automated development of test documentation. These methods can thus be applied for the verification and validation of computer software.

Examples relate to systems for authoring and executing predictive models. A computer system includes a model development context analyzer configured to store a set of derived modeling knowledge generated at least in part from a plurality of modeling operations performed using at least a first predictive model authoring tool. The system is configured to, receive a modeling context indicating at least a modeling operation being performed, determine, from the modeling context, at least one element of an ontology, the ontology defining at least one attribute of a plurality of modeling operations, query the set of derived modeling knowledge using the at least one element of the ontology to identify at least one record of the set of derived modeling knowledge associated with the at least one element of the ontology, identify at least one suggested model parameter associated with the modeling context, and provide the at least one suggested model parameter.

A system and method for selecting a training data set from a set of multidimensional geophysical input data samples for training a model to predict target data. The input data may be data sets produced by a pulsed neutron logging tool at multiple depth points in a cases well. Target data may be responses of an open hole logging tool. The input data is divided into clusters. Actual target data from the training well is linked to the clusters. The linked clusters are analyzed for variance, etc. and fuzzy inference is used to select a portion of each cluster to include in a training set. The reduced set is used to train a model, such as an artificial neural network. The trained model may then be used to produce synthetic open hole logs in response to inputs of cased hole log data.

The present invention discloses a software development tool that includes a model development interface, an aspect design tool, and a model transformation engine. The model development interface can permit a developer to graphically design at least one software model. The aspect design tool for the model development interface can be configured to permit a user to specify at least one aspect to be applied to a model of the model development interface. The model transformation engine can transform a model of the model development interface having at least one aspect defined via the aspect design tool into automatically generated aspect code integrated with base language code.

A model development system provides tools for developers to define reusable, object oriented components and views for collecting and displaying data from multiple sources, and for incorporating such reusable components and views into an informational model. Using the system, a developer can create a reusable component, create multiple instances of that component, and connect each such instance to one or more corresponding back-end data sources. The developer can also define one or more associated views that specify how data collected by the component from the back-end data sources is to be displayed. Many different components and views may be defined and deployed to build an informational model of a business entity, such as a business that operates processing or manufacturing plants in various locations.

A method for halting malware includes: monitoring plural file system events with a system driver to detect an occurrence of a file system event having a predetermined file type and log event type; triggering a listening engine for file system event stream data of a file associated with the detection of the file system event, the file system event stream data indicating data manipulation associated with the file due to execution of a process; obtaining one or more feature values for each of plural different feature combinations of plural features of the file based on the file system event stream data; inputting one or more feature values into a data analytics model to predict a target label value based on the one or more feature values of the plural different feature combinations and agnostic to the process; and performing a predetermined operation based on the target label value.

A discrete event simulation (DES) and method of model development provide affordable, accurate, pre-validated, reusable and portable models and simulations that capture the complexity, interdependencies and stochastic nature of the operations and support (O&S) of weapons systems. A model of the O&S problem is created based on a service use profile (SUP) that describes a logical structure of delivery, maintenance, deployment, testing policy, infrastructure and logistics constraints. That model is translated into a DES, preferably using a “toolkit” including common attributes for the weapons and pre-validated common blocks and sub-models that define higher level functionality. The DES calculates a time-based prediction of weapons availability, maintenance activities, and spare parts stock over a life cycle of the weapons system.

A model development system provides tools for developers to define reusable, object oriented components and views for collecting and displaying data from multiple sources, and for incorporating such reusable components and views into an informational model. Using the system, a developer can create a reusable component, create multiple instances of that component, and connect each such instance to one or more corresponding back-end data sources. The developer can also define one or more associated views that specify how data collected by the component from the back-end data sources is to be displayed. Many different components and views may be defined and deployed to build an informational model of a business entity, such as a business that operates processing or manufacturing plants in various locations.

The invention discloses a model development and simulation test system for a rail transit automatic pilot system. In the system, a data analysis subsystem is used for analyzing actual operating data of a train so as to abstract a train model parameter and input the train model parameter into a train model subsystem; an automatic pilot subsystem is used for calculating a train operating target curve according to line data and a line operating requirement, outputting a control command to the train model subsystem according to the deviation of train operating data and target data and responding to a command of manual operation; and the train model subsystem is used for forming a train model to be simulated, performing the corresponding operation on the train model according to the control command, calculating the operating data of the train according to environmental data and then feeding back the operating data of the train. The system can realize the actual simulation test for the automatic pilot system and can realize the model development and the simulation test of an urban rail transit automatic pilot system which are suitable for most of rail transit automatic pilot systems.

The invention discloses a multi-type air defense weapon mixed firepower group target assignment optimization method. According to the states and the indexes of different types of air defense weapons in the firepower group and the real-time air attack target detection information, the air target threat degree, the interception time, the interception possibility, the interception times, the interception efficiency-cost ratio and the like can be used as optimization indexes, air targets in need of interception are assigned to the air defense weapons in the firepower group, and different optimal interception policies with the maximum reduction of the air target threat degree, the shortest interception time, the largest interception possibility, the maximum interception times, the highest interception efficiency-cost ratio and the like can be realized. The method can be applied to target assignment software design and target assignment simulation model development and the like for a multi-type air defense weapon mixed firepower group tactical command and control system.

Development of domain-specific analytic applications having predefined data mining models, including identifying a business problem to be solved; selecting a data mining algorithm appropriate for solving the business problem; defining data schema for use as inputs and outputs to and from the mining algorithm, the data schema including input data schema and output data schema; and defining a mining model based on the data schema to solve the business problem; whereby a domain-specific analytic application is developed, the analytic application having at least one predefined data mining model, the analytic application having the capabilities of: populating the input data schema with sample historical data; production training the mining model using the sample historical data in the input data schema, whereby a production trained mining model is created; and production scoring production data using the production trained mining model, production scoring further comprising applying the production trained mining model to production data.

This invention provides method and system for measuring changes in the brain activity of an individual by functional brain imaging methods for investigative purposes, e.g., detecting and assessing whether an individual is being truthful or deceptive, and / or whether an individual has a prior knowledge of a certain face or object. The invention combines recent progress in medical brain imaging, computing and neuroscience to produce an accurate and objective method of detection of deception and concealed prior knowledge based on an automated analysis of the direct measurements of brain activity. Applying the paradigm developed from the deception model, and applying it to an individual viewing media information (e.g., audiovisual messages or movies, or announcements), the data is used to interpret the effect of the information on that individual. This permits the effective manipulation of the content of the media segments to achieve maximal desired impact in target populations or on specific individuals.

The invention relates to a layered design method of a model-based automatic transmission software development platform. The software development platform is divided into three layers, namely a model application layer, a hardware abstraction layer and a bottom-layer driving layer, wherein the hardware abstraction layer is used for jointing the model application layer and the bottom-layer driving layer; an automatic transmission control strategy is characterized by modelling, emulating and testing by a model development tool, automatically generating C codes and converting the C codes into an application layer software module to form the model application layer; the model application layer carries out data exchange by using the hardware abstraction layer and realizes access of bottom-layer platform data and corresponding operation by a joint function; the bottom-layer driving layer carries out controller area network (CAN) driving, analogue / digital conversion, digital input and output, and own function and state monitoring of the platform; and the bottom-layer driving layer executes the corresponding operation by function call of the hardware abstraction layer, and processes and updates data in real time.

The invention designs a confrontation simulation and efficiency evaluation system based on equipment parameterization. According to the system, a simulation model development module supports a simulation service component architecture, an engineering management and operation guide control module adopts a distributed simulation guide control technology, a simulation resource management tool is adopted to uniformly manage and deploy models, scenarios and parameter resources in a simulation resource library, and the models, scenarios and parameter resources are deployed on a target node in a distributed simulation network; the simulation platform loads and operates various simulation resources through the simulation execution engine, and the efficiency assessment module adopts custom data management and efficiency assessment technologies. The system is used for an equipment confrontation simulation and efficiency evaluation software system in a large-scale combined action scene, solves the problems of universalization, platformization and expandability of a confrontation simulation system, supports full-life-cycle whole-process development, and can process simulation and evaluation tasks related to multiple types of simulation objects and multiple action scenarios.

A method of model development for use in underwriting group life insurance for a policy period includes collecting medical claims data for the group to be underwritten, where each medical claim being related to a particular employee of the group. Morbidity categories are provided that categorize the medical claims in the medical claims data. A conditional probability model is developed and applied to the morbidity categories for each employee in the group using his medical claims, thereby calculating the expected conditional probability for each employee dying during the policy period. For each employee, an estimate of the expected life claim cost is estimated using an index of the life coverage to salary. Combining the expected conditional probability for each employee dying during the policy period with the estimate of the expected claim cost of death gives an estimate of the group's total life exposure.

The invention discloses a platform-spanning simulation model development method. The method comprises the following steps: carrying out standardized processing on a simulation model; storing a logic rule of a simulation code into a template file; configuring simulation model development information by a user according to a standardized simulation model template; recording user input information in a user interaction process and analyzing; meanwhile, generating a data dictionary and file mapping relation capable of translating macros in the simulation model template; translating the corresponding template file according to the data dictionary and file mapping relation of the macros to obtain a target code file. According to the technical scheme, the function of a WIZARD customization tool under development environments including Microsoft VC6.0, VS2008 and the like can be replaced and the dependence on the development environments is avoided; automatic generation of a model code framework of various platform and compiler versions can be supported and the platform-spanning problem of the development of the simulation model is solved.

A design modelling system for operating on disparate data models in a single application is provided. The design modelling system comprises at least one source file defining a source data model, a modelling development environment module for consuming source files, and an internal generic data model transformed from the source data model in accordance with direction provided by elements of consumed source files.

The invention provides a test system for a vehicle acoustical power. The test system includes a noise sensor, a pulse signal sensor and a signal acquisition device. The noise sensor is installed on an acoustical-power to-be-tested part of a vehicle. The pulse signal sensor is installed at the position of a vehicle crankshaft belt pulley. Both of the noise sensor and the pulse signal sensor are connected with the signal acquisition device through wire harnesses. The test system is capable of carrying out acoustical power test on main noise sources at different parts under a real-vehicle state, such as engine acoustical power, gas vent nozzle acoustical power and tyre acoustical power and the like. The test system reflects fully the acoustical power levels of the main noise sources under a real-vehicle operating work condition so that defects of current acoustical-power bench testing are compensated for. The test system is capable of obtaining effective comparison data and has a significance effect on a vehicle model development period and comparison work of noise levels of a competitive-product vehicle and a bench marking vehicle; and the whole set of system is convenient to arrange and a test method and a data processing method are simple and easy to use.

An automated model development tool can be used for automatically developing a model (e.g., an analytical model). The automated model development tool can perform various automated operations for automatically developing the model including, for example, performing automated operations on variables in a data set that can be used to develop the model. The automated operations can include automatically analyzing the predictor variables. The automated operations can also include automatically binning (e.g., combining) data associated with the predictor variables to provide monotonicity between the predictor variables and one or more output variables. The automated operations can further include automatically reducing the number of predictor variables in the data set and using the reduced number of predictor variables to develop the analytical model. The model developed using the automated model development tool can be used to identify relationships between predictor variables and one or more output variables in various machine learning applications.

The invention relates to a reusable simulation model interface design and butt joint method and device, a medium and computer equipment. The method comprises the steps of obtaining a simulation modelheader file or a model description file from a working space, and generating a simulation model frame according to the simulation model header file or the model description file; according to the simulation model frame, generating a simulation model tree to be displayed in a model operation interface; receiving model modification data input by the corresponding simulation model tree, modifying thesimulation model frame according to the model modification data, and obtaining a reusable simulation model; when a data output instruction input by the corresponding simulation model tree is received, obtaining the model file according to the reusable simulation model and performing display in the model operation interface. The model data editing operation is performed in a visual model editing interface, the reusable simulation model frame can be rapidly constructed and generated, a model developer does not need to pay attention to code details of reusable model development norms, more energy can be put in model function development, and the model design and butt-joint efficiency and reusability are improved.

A high-precision offset printing method applies production standardized digital methods and means to create model development software so as to eliminate errors resulting from different used equipment and materials, is quite convenient and effective for operation of error correction and is an innovation and development of control theories of an offset printing technology. The technical architecture of the high-precision offset printing method includes a high-precision screening color separation technology, a high-density printing reproduction technology, a high-saturation printing reproduction technology, a long-contrast-level reproduction technology, a color management control technology and high-precision offset printing technical standards. Printed matters produced by applying the high-precision offset printing technology have the advantages of high precision, bright color, strong stereoscopic impression, good light impression and the like, technical indexes of the high-precision offset printing method conform to current international and national standard systems, index value exceeds standard expectations, quality bottlenecks of the traditional offset printing technology are broken through, and the offset technology portion makes up defects of existing printing theories and technologies.

Techniques are disclosed for managing development of a model set comprised of one or more object models by a plurality of model developers. Each model developer may be considered an interested party. For example, when a model developer changes an area of the model, that person becomes the most interested party in other changes made to the same area. An automated mechanism is provided to track changes made to the model set and informs interested parties as changes are made or after changes are made to the model based on a weighting system. In one embodiment, the weighting system may be based on a distance from the changed portions and on the amount of time since a party last made a change to the same area.

The invention provides a meteorological data numerical forecasting cloud sharing platform comprising a shared service platform for transmitting, processing, storing and sharing numerical forecasting massive data; a public intelligence platform for implementing model development and release technology; and a sub-center platform for implementing localized data processing and accessing a processing result by a user. The invention further discloses a data sharing method. According to the meteorological data numerical forecasting cloud sharing platform and the data sharing method provided by the invention, around the core target of improving the accuracy and refinement level of numerical forecasting, demand traction is maintained, innovation driving is strengthened, and an intensive numerical forecasting grid data application business system with regional high-resolution numerical forecasting system as the core is established in an intensive and standardized development mode by using the cloud technology, the mass data, the internet +, intelligence and other information techniques.

The invention belongs to the field of superalloy additive manufacturing, and particularly relates to a technique for integrally and quickly forming an special-shaped rudder shaft of an aircraft. An overall special-shaped rudder shaft structure formed by selective laser melting fully utilizes the characteristics of high flexibility and rapid response of an additive manufacturing technology. By means of a reasonable process supporting structure and a placement position, the integrated forming of the special-shaped rudder shaft is achieved. A selective laser melting forming process is rapid in solidification, grains of an alloy structure are refined, and the strength and plasticity of parts far exceed a traditional manufacturing process; secondly, the rapid forming method simplifies production process and improves production efficiency. Compared with the traditional manufacturing process, production cycle for rapid forming of the single-piece rudder shaft is shortened by 50%, the utilization rate of materials is increased by 30%, the processing cost is reduced by 30%, and model development demands are effectively ensured.

The invention relates to a method for matching a power system and a drive system based on vibration performance. The method includes the steps that the rigid body mode of the power system, the drive system, the main speed reducing ratio and the mode of a rear axle system are matched reasonably, the rigid body mode of the power system cannot stimulate the drive system mode, and the exciting force frequency below the main speed reducing ratio cannot stimulate the mode of the rear axle system. The method is mainly and specifically used for automobile model development at the earlier stage. Due to the fact that a practical entire automobile does not exist in entire automobile development, checking can only be achieved through simulation, CAE simulated analysis is conducted on the power system and the drive system, a mode distribution table is planned, the power system and the drive system are matched reasonably, and the phenomena that the rigid body mode of the power system stimulates the drive system mode, and the exciting force frequency below the main speed reducing ratio stimulates the mode of the rear axle system so that resonance can happen are avoided. The entire automobile NVH performance is improved, the development cycle is shortened, and the development cost of an automobile is lowered.

The invention discloses a time sequence-based missing data supplementing method and system. The method comprises the following steps of: 1) obtaining history data required by a basic model by a data obtaining and processing module, carrying out feature extraction on history data of each time point in the history data, and generating data columns corresponding to the history data of the time points, wherein the time points are time units for forming a time sequence; 2) constructing the basic model by a basic model development module according to the data columns of the history data and a data column of to-be-predicted data, so as to carry out fitting on the data to achieve regression prediction, wherein the basic model is B(k)=(XTX+kI)-1XTY; and 3) training the basic model by utilizing thedata columns of the history data and carrying out prediction supplementation on the data column of the to-be-predicted data by using the trained basic model. According to the method and system, required data can be automatically supplemented in a precision range required by businesses, so as to achieve the aim of advanced prediction.