2392results about "Analogue computers for electric apparatus" patented technology

An energy distribution may include a server and one or more databases. The system may communicate with an energy provider to receive energy provider data, at least one information collector to receive information collector data such as individualized energy usage data, customer preferences, and customer or location characteristics, and the one or more databases for receiving data for optimization. The system may calculate a cost of service or avoided cost using at least one of the individualized energy usage data and a system generation cost at a nearest bus. The system may also forecast individualized demand by end-use, individualized demand by location, energy prices, or energy costs. The system may optimize energy distribution, energy use, cost of service, or avoided cost using the forecasted individualized demand by end-use, the forecasted individualized demand by location, the forecasted energy prices, and the forecasted energy costs.

Embodiments of the present invention provide power flow analysis and may process electrical power distribution system data in real time to calculate load, current, voltage, losses, fault current and other data. The power flow analysis system may include a detailed data model of the electrical power distribution system, and may accept a variety of real time measurement inputs to support its modeling calculations. The power flow analysis system may calculate data of each of the three distribution system power phases independently and include a distribution state estimation module which allows it to incorporate a variety of real time measurements with varying degrees of accuracy, reliability and latency.

A method and apparatus for managing, modeling, predicting, allocating and utilizing resources and bottlenecks in a computer network managing, predicting and displaying of capacity, allocating and utilizing of resources, as well as actual and potential performance-degrading resource shortages in a computer network, is provided. Specifically, exemplary implementations of the present invention provide a method, system and apparatus for calculating, detecting, predicting, and presenting resource allocation, utilization, capacity bottlenecks and availability information, in a computer network, particularly in a virtualized computer environment.

Identifying a security breach caused when a computer-based software application uses a computer-based web browser application, including identifying at least one function within a computer-based software application that causes a computer-based web browser application to access data from a source that is external to the software application, at least partially replacing the data with malicious content that is configured to cause a predefined action to occur when the malicious content is accessed by the web browser application, where the predefined action is associated with a known security breach when the predefined action occurs subsequent to the malicious content being accessed by the web browser application, causing the software application to perform the function, and determining whether the predefined action is performed.

An MPC adaptation and tuning technique integrates feedback control performance better than methods commonly used today in MPC type controllers, resulting in an MPC adaptation/tuning technique that performs better than traditional MPC techniques in the presence of process model mismatch. The MPC controller performance is enhanced by adding a controller adaptation/tuning unit to an MPC controller, which adaptation/tuning unit implements an optimization routine to determine the best or most optimal set of controller design and/or tuning parameters to use within the MPC controller during on-line process control in the presence of a specific amount of model mismatch or a range of model mismatch. The adaptation/tuning unit determines one or more MPC controller tuning and design parameters, including for example, an MPC form, penalty factors for either or both of an MPC controller and an observer and a controller model for use in the MPC controller, based on a previously determined process model and either a known or an expected process model mismatch or process model mismatch range. A closed loop adaptation cycle may be implemented by performing an autocorrelation analysis on the prediction error or the control error to determine when significant process model mismatch exists or to determine an increase or a decrease in process model mismatch over time.

A method and apparatus for inspecting a photolithography mask for defects is provided. The inspection method comprises providing a defect area image to an image simulator wherein the defect area image is an image of a portion of a photolithography mask, and providing a set of lithography parameters as a second input to the image simulator. The defect area image may be provided by an inspection tool which scans the photolithography mask for defects using a high resolution microscope and captures images of areas of the mask around identified potential defects. The image simulator generates a first simulated image in response to the defect area image and the set of lithography parameters. The first simulated image is a simulation of an image which would be printed on a wafer if the wafer were to be exposed to an illumination source directed through the portion of the mask. The method may also include providing a second simulated image which is a simulation of the wafer print of the portion of the design mask which corresponds to the portion represented by the defect area image. The method also provides for the comparison of the first and second simulated images in order to determine the printability of any identified potential defects on the photolithography mask. A method of determining the process window effect of any identified potential defects is also provided for.

A network security modeling system which simulates a network and analyzes security vulnerabilities of the network. The system includes a simulator which includes a network vulnerabilities database and a network configuration module having network configuration data. The simulator determines vulnerabilities of the simulated network based on the network configuration data and the vulnerabilities database.

A quantitative risk assessment system (QRAS) builds a risk model of a system for which risk of failure is being assessed, then analyzes the risk of the system corresponding to the risk model. The QRAS performs sensitivity analysis of the risk model by altering fundamental components and quantifications built into the risk model, then re-analyzes the risk of the system using the modifications. More particularly, the risk model is built by building a hierarchy, creating a mission timeline, quantifying failure modes, and building/editing event sequence diagrams. Multiplicities, dependencies, and redundancies of the system are included in the risk model. For analysis runs, a fixed baseline is first constructed and stored. This baseline contains the lowest level scenarios, preserved in event tree structure. The analysis runs, at any level of the hierarchy and below, access this baseline for risk quantitative computation as well as ranking of particular risks. A standalone Tool Box capability exists, allowing the user to store application programs within QRAS.

A simulation system is described for computing the overall signal generated in a substrate by a digital system comprising a plurality of gates associated with the substrate, wherein each gate is configured to perform a switching event. Output of a transistor-level model is compared with output of a lumped circuit model for each gate and the substrate, and signal contributions from each gate and switching event are determined based on the comparison. The system determines switching event signals for each of the plurality of gates. The signal contributions and the switching event signals are combined, and a combined lumped circuit model is derived based on a combination of lumped circuit models of the plurality of gates. The overall signal is computed based on the combined gate signal contributions and switching event signals, which are configured as an input to the combined lumped circuit model.

The debug system described in this patent specification provides a system that generates hardware elements from normally non-synthesizable code elements for placement on an FPGA device. This particular FPGA device is called a Behavior Processor. This Behavior Processor executes in hardware those code constructs that were previously executed in software. When some condition is satisfied (e.g., If . . . then . . . else loop) which requires some intervention by the workstation or the software model, the Behavior Processor works with an Xtrigger device to send a callback signal to the workstation for immediate response.

A method for optimal insertion of buffers into an integrated circuit design. A model representative of a plurality of circuits is created where each circuit has a receiving node coupled to a conductor and a source. A receiving node is selected from the modeled plurality of circuits and circuit noise is calculated for the selected receiving node utilizing the circuit model. If the calculated circuit noise exceeds an acceptable value an optimum distance is computed from the receiving node on the conductor for buffer insertion. In a multi-sink circuit merging of the noise calculation for the two receiving circuits must be accomplished. If an intersection of conductors exists between the receiving node and the optimum distance a set of candidate buffer locations is generated. The method then prunes inferior solutions to provide an optimal insertion of buffers.

Methods and systems are provided for partitioning and distributing the model processing of a graphical model to provide an executable form of the graphical model. The methods and systems determine tasks of the model processing that can be processed separately and concurrently from other tasks. A distribution scheme for distributing the model processing tasks is determined that considers the characteristics of the model processing tasks in view of the characteristics of available computing resources. Variations of partitioning and distributing the model processing tasks can be determined to provide for distributed processing in an optimized or desired manner. The results of the distributed processing of the model processing tasks are obtained and combined to provide an executable form for the graphical model.

A network troubleshooting framework is described. In an implementation, a method includes generating a first estimation of network performance by a simulator based on network settings obtained from a network, estimating the new performance under an alternative setting by providing the alternative setting to the network simulation and observing the simulation output, repeating the procedure for other alternative settings, and suggesting the alternative setting that improves network performance.

An apparatus and method of generating an application for a control system. A control process is defined by a physical model and a topological model. An application generator utilizes the physical and topological models to generate an application for the control system.

A system and method for planning placement of virtual machines VMs in a computing environment comprising a set of hosting machines HM. The method includes constructing a bipartite directed graph-based model that represents both a current and a target placement states, both including virtual machine nodes v in VM and nodes h in HM. Using a technique of graph pruning, the method iteratively generates a plan for achieving a desired target placement starting from the current placement without temporarily violating any policy or resource constraint. The application of the pruning algorithm to VM deployment automation necessarily defines a new model. The methodology employed safely manages concurrent changes in a datacenter, so that the environment can adjust faster to changing constraints. Furthermore, the present invention allows detection of migration cycles, caused by deadlocked combinations of capacity and policy constraints, and resolving them.