Abstract: The technology includes methods, a system, and a computer readable medium for predicting the time to failure of an electronic component, by generating a finite element model of the component, developing a microstructure-based failure model for each representative volume element associated with each node in the finite element model, and calculating a time to failure of the component from the shortest predicted time to failure of any node when a value of a stress variable is applied to the microstructure-based failure model of each node. The technology further includes methods, system, and a medium programmed to predict failure of a system that includes an electronic component, based on predicting time to failure of the component.

Abstract: The technology includes methods, a system, and a computer readable medium for predicting the failure of an electronic device during design of the device, by receiving data associated with the device, the data including data indicative of a device response to a specific load on the system while the device is in operation, and predicting potential failure of the device using a probabilistic model and the data, wherein the probabilistic model utilizes at least one of fast probability methods and simulation techniques.

Abstract: A method for simulating a physical property of a component model comprising a computer accessible construction model of a technical structure, by automatically generating a mesh of a component model. The component model is first described by a fine mesh of finite elements, and, based on the fine mesh, a fine natural frequency of the component model is determined. The component model is then described by a coarse mesh of finite elements, and based on the coarse mesh, a coarse natural frequency of the component model is determined. In this context, for example, the deviation of the coarse natural frequency from the fine natural frequency is used as a measure for the quality of the coarse mesh.

Abstract: Computer implemented methods and systems using a multidimensional Monotonic Lagrangian Grid (MLG) to sort and order locations of aircraft, are used for simulating, controlling, and optimizing aircraft traffic systems. The MLG is combined with algorithms for collision detection and resolution, separation assurance, and updating aircraft trajectories, and applied to test cases of the air transportation system. Physical locations describing aircraft traffic moving in complex paths are stored into a data structure of the multidimensional MLG algorithm. The moving aircraft traffic platforms are sorted and ordered on a grid structure in real space and in an indexing space, causing a monotonic mapping between indices of the grid structure and locations describing the plurality of moving aircraft. Computer operations using data stored in the multidimensional MLG determine control strategies for aircraft separation assurance and optimum routes to circumvent blockages in transport paths.

Abstract: Techniques for constructing and using models in accordance with service level management are disclosed. In one aspect of the invention, a technique for constructing a model (e.g., a system model) representative of a resource for use in managing a service associated with the resource, comprises the following steps/operations. A set of resource metrics is obtained in accordance with a resource abstract model (RAM) associated with the resource. Then, a model representative of the resource is constructed based on at least a portion of the set of resource metrics obtained from the resource abstract model.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. (original) The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: In one embodiment, the invention is a method for modeling electrical behavior of a packaged module having multiple integrated circuits (ICs), such as a multi-chip module (MCM). The method includes: (a) identifying one or more pin groups in the module, wherein a pin group comprises two or more buffers connected together and to a package-external pin, and (b) generating one or more corresponding unified behavioral models for the one or more pin groups based on the characteristics of the buffers of the one or more pin groups. The behavioral models are part of an integrated behavioral model file in accordance with the I/O buffer information specification (IBIS) standard.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. (original) The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: A method for estimating a probability of failure of a least-squares ambiguity decorrelation adjustment (LAMBDA) method is provided. The LAMBDA method is used for estimation of double difference carrier phase integer ambiguity. A plurality of condition sets are selected. Each condition set comprises a probability of failure (Pboot-fail) for a boot-strap method of estimation of the double difference carrier phase integer ambiguity, a number of space vehicles (Nsv), and a ratio test tolerance for the LAMBDA method. A plurality of Monte Carlo simulations are run on the plurality of condition sets to obtain a plurality of result sets. Each result set comprises a probability of lambda fail (P?-fail) and a probability of lambda reject (P?-reject) for one condition set of the plurality of condition sets. A lookup table is created with the plurality of result sets. A value of P?-fail for given values of P?-reject, Pboot-fail, and Nsv is estimated through employment of the lookup table.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: The method of modeling fluid flow over porous blocks utilizes heat transfer and fluid flow equations and a discretization numerical method to model heat transfer rates in a square cavity containing a pair of porous blocks. Fluid flow and heat transfer are modeled within a square cavity having an inlet and an outlet formed therethrough. The inlet and outlet are positioned opposite one another along a diagonal of the square cavity. A laminar airflow is introduced at the cavity inlet while a constant heat flux is maintained in the pair of porous blocks.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: Techniques for emulating operating system jitter on a platform using a given trace are provided. The techniques include calculating a scale factor, wherein the scale factor is equal to a maximum of measured overhead of introducing synthetic jitter on the platform and a resolution of one or more timer calls on the platform, scaling up each of one or more jitter values and each of one or more gaps between each of one or more jitter instances in the trace and an execution period of a benchmark parallel application using the scale factor, introducing synthetic jitter using each of the one or more scaled jitter values and each of the one or more scaled gaps from the trace while running the benchmark parallel application for the scaled execution period to emulate operating system jitter on a platform, and scaling down one or more final time measurements from the benchmark parallel application by the scale factor.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.

Abstract: A system and method for viewing models and model variables within a sophisticated modeling environment is disclosed. The system provides varying levels of insight into a modeling infrastructure to help the user understand model and model variable dependencies, usage, distribution, and/or the like. The method includes storing model and model variable data within a relational database system, receiving a request from a user interfacing with the system via a web interface, extracting search criteria and presentation preferences from the request, formulating and executing one or more queries on the database to retrieve the required data, formatting the data in accordance with the request, and retuning the data to the requesting user in the form of a web page.