569 results about "Scenario based" patented technology

The present invention relates to a motion input device for portable terminal and an operation method using the same. A motion input device of a portable terminal of the present invention includes a sensor unit configured to collect a sensor signal from at least one sensor; an operation recognition unit configured to generate a motion signal corresponding to an operation of portable terminal based on the sensor signal; a scenario preparation unit configured to generate an input scenario based on at least one motion signal; and a scenario mapping unit configured to detect, in a scenario database, a standards scenario corresponding to the input scenario, and to generate an input signal corresponding to the standards scenario.

A method for probabilistic record linkage includes providing a record pair comprising a plurality of fields, providing a plurality of scenarios, each scenario relating to a distribution of patterns among a plurality of attribute statuses, and comparing the record pair to determine a record difference. The method includes determining a probability of a status for each of a plurality of attributes based on the distance metric of the plurality of fields, wherein each field corresponds to a respective attribute, wherein the field is observable and the attribute is hidden, determining a probability of each scenario based on the probability of the status for each attribute and the Bayesian net representing the probabilistic model on the relationship between scenarios and attributes, and outputting a probability of duplication or non-duplication of the record pair determined from the probabilities of the plurality of scenarios.

System and method for creating a scene graph. A data flow diagram is created in response to input, including displaying a first plurality of nodes on a display which are executable to create at least a portion of the scene graph, and connecting the nodes to create the data flow diagram, where the nodes are connected to specify data flow among the plurality of nodes. The data flow diagram is executed to create the scene graph. The scene graph specifies a plurality of objects and relationships between the objects, e.g., via an object hierarchy, and is usable in rendering a graphical image of the plurality of objects, e.g., a 3D scene. The scene graph is stored in a memory medium. At least one render node may be included in the data flow diagram which receives the scene graph as an input and renders the image based on the scene graph.

A system and method for rapid processing of scene-graph-based data and/or programs is disclosed. In one embodiment, the system may be configured to utilize a scene graph directly. In another embodiment, the system may be configured to generate a plurality of structures and thread that manage the data originally received as part of the scene graph. The structures and threads may be configured to convey information about state changes through the use of messaging. The system may include support for messaging between threads, messaging with time and/or event stamps, epochs to ensure consistency, and ancillary structures such as render-bins, geometry structures, and rendering environment structures.

The present invention relates to an Internet enabled, interactive financial portfolio risk modeling system. The system operates online, in a collaborative computing environment between the user and the portfolio development system. The portfolio generating system models the user's personal investment parameters into a user profile in terms of the user risk tolerance level, user investment style and user bull/bear attitude. The system further calculates Value At Risk (VAR) values for the user. The system filters various securities based on their VAR and Beta values and present two list of filtered securities, with opposing Beta values, matching the user profile. The present invention enables the user to swap securities in and out of his existing portfolio and receive an analysis of the effect of the swap on his portfolio. The model also generates an ideal portfolio based on the user profile. The present invention presents the user with an estimated value of his portfolio, based on a regression formula as well as a possible best and worst scenario based on statistical formulas particularly to computer implemented, Internet based financial modeling systems.

The invention provides a real-time voice recognition system and method. The real-time voice recognition method includes the steps of: collecting current voice and current scene information of a current user; constructing a current scene language model corresponding to the current user; judging the type of the current scene according to the current scene information, and searching a static language model corresponding to the type of the current scene from static language models corresponding to different scene types which are constructed according to historical scene information; and calling a universal language model, and recognizing voice of the current user based on a hybrid and acoustic model of the universal language model, the searched static language model and the scene language model corresponding to the current user. The real-time voice recognition method constructs language models in an offline and online combination manner based on various scene information, and thus can effectively improve the accuracy rate of voice recognition.

A system and method for rapid processing of scene-graph-based data and/or programs is disclosed. In one embodiment, the system may be configured to utilize a scene graph directly. In another embodiment, the system may be configured to generate a plurality of structures and thread that manage the data originally received as part of the scene graph. The structures and threads may be configured to convey information about state changes through the use of messaging. The system may include support for messaging between threads, messaging with time and/or event stamps, epochs to ensure consistency, and ancillary structures such as render-bins, geometry structures, and rendering environment structures.

A system and method for rapid processing of scene-graph-based data and/or programs using a render bin is disclosed. In one embodiment, the system may be configured to generate a plurality of structures and thread that manage the data originally received as part of the scene graph. The structures and threads may be configured to convey information about state changes through the use of messaging. The system may include support for messaging between threads, messaging with time and/or event stamps, epochs to ensure consistency, and ancillary structures such as render-bins, geometry structures, and rendering environment structures. One of the structures may be a render bin that may be used to implement parallel rendering.

A method for processing high dynamic range (HDR) images by selecting preferred tone mapping operators and gamut mapping algorithms based on scene classification. Scenes are classified into indoor scenes, outdoor scenes, and scenes with people, and tone mapping operators and gamut mapping algorithms are selected on that basis. Prior to scene classification, the multiple images taken at various exposure values are fused into a low dynamic range (LDR) image using an exposure fusing algorithm, and scene classification is performed using the fused LDR image. Then, the HDR image generated from the multiple images are tone mapped into a LDR image using the selected tone mapping operator and then gamut mapped to the color space of the output device such as printer.

Predetermined three-dimensional video parameter settings may be dynamically adjusted based on scene content. One or more three-dimensional characteristics associated with a given scene may be determined. One or more scale factors may be determined from the three-dimensional characteristics. The predetermined three-dimensional video parameter settings can be adjusted by applying the scale factors to the predetermined three-dimensional video parameter settings. The scene may be displayed on a three-dimensional display using the resulting adjusted set of predetermined three-dimensional video parameters.

A system and method for rapid processing of scene-graph-based data and/or programs is disclosed. In one embodiment, the system may be configured to utilize a scene graph directly. In another embodiment, the system may be configured to generate a plurality of structures and threads that manage the data originally received as part of the scene graph. The structures and threads may be configured to convey information about state changes through the use of messaging. The system may include support for messaging between threads, messaging with time and/or event stamps, epochs to ensure consistency, and ancillary structures such as render-bins, geometry structures, and rendering environment structures. A master control thread may be utilized to manage the allocation of resources and the timing of thread execution.

The invention provides an automobile automatic driving test case generation method based on scenes and tasks, and the method comprises the following steps: 1), selecting typical traffic behaviors in acomplex and multi-element road traffic scene, and constructing a test task library; 2) defining terms of a traffic scene and related elements thereof, describing concepts, attributes and hierarchicalrelationships of scene elements, and constructing an ontology model of the road traffic scene; 3) generating a traffic scene based on the traffic scene model and the traffic behavior task library, the traffic scene being generally composed of a plurality of traffic participants, a specific time-space road environment and a traffic scene, and generally including a plurality of driving tasks; and 4) further describing a traffic scene in detail by defining a parameter range and correlation of variables in the state space, and selecting representative discrete values for combination by applying boundary value analysis, equivalence class division and other methods in software testing to generate a plurality of test cases.

A computerized method and apparatus for providing a borrower with a choice of products relating to new debts or changes to a portfolio of debts. The method can include collecting borrower information using a user interface, building scenarios of debt products currently available to the borrower, evaluating the scenarios of debt products using (i) payment models for the scenarios determined based on interest and loan information and (ii) the borrower information, and selecting one or more of the scenarios based on the evaluation of the scenarios.

Methods and systems for scenario-based process modeling are described. In one example embodiment, a system for scenario-based process modeling can include a scenario module, a deviations module, a parallel tasks module, and a workflow generation engine. The scenario module is to receive a series of tasks to define a standard process flow. The deviations module is to receive a deviation from the standard process flow. The parallel tasks module is to enable identification of one or more parallel tasks. The workflow generation engine is to generate a workflow model based on the standard process flow, deviation, and one or more parallel tasks.

Devices, systems and methods are provided to communicate using mobile or wireless devices having a plurality of interactive applications, wherein each application is useable interactively with other applications. Thus, a user is enabled to utilize multiple applications interactively on a single mobile device, with each application providing intelligent feedback to an application server as to the use habits of the user with regard to that application. Further, the applications server provides a level of intelligence back to each mobile device creating an ongoing intelligent feedback loop.

A mission-based cyber training platform allows both offensive and defensive oriented participants to test their skills in a game-based virtual environment against a live or virtual opponent. The system builds realistic virtual environments to perform the training in an isolated and controlled setting. Dynamic configuration supports unique missions using a combination of real and/or virtual machines, software resources, tools, and network components. Game engine behaves in a manner that will vary if participant attempts to replay a scenario based upon alternate options available to the engine. Scoring and leader boards are used to identify skill gaps/strengths and measure performance for each training participant. A detailed assessment of a player's performance is provided at the end of the mission and is stored in a user profile/training record.

The invention relates to a multi-perception emergency training system for a petrochemical fire scenario, which mainly solves the problems of insufficient interaction and low scenario perceptibility in the prior art. The multi-perception emergency training system for the petrochemical fire scenario based on a B/S architecture comprises a 3D driving engine, a thermal flux sensor module, an equipment operation module, a basic knowledge database module, a scenario database module, a desktop deduction, examination and evaluation module, a server and a client computer. The system well solves the above problem, and can be used for multi-perception emergency training of petrochemical fire scenarios.