Abstract: Systems and methods are described herein for real-time data processing and for emergency planning. Scenario test data may be collected in real-time based on monitoring local or regional data to ascertain any anomaly phenomenon that may indicate an imminent danger or of concern. A computer-implemented method may include filtering a plurality of different test scenarios to identify a sub-set of test scenarios from the plurality of different test scenarios that may have similar behavior characteristics. A sub-set of test scenarios is provided to a trained neural network to identify one or more sub-set of test scenarios. The one or more identified sub-set of test scenarios may correspond to one or more anomaly test scenarios from the sub-set of test scenarios that is most likely to lead to an undesirable outcome. The neural network may be one of: a conventional neural network and a modular neural network.

Abstract: Systems and methods are described herein for real-time data processing and for emergency planning. Scenario test data may be collected in real-time based on monitoring local or regional data to ascertain any anomaly phenomenon that may indicate an imminent danger or of concern. A computer-implemented method may include filtering a plurality of different test scenarios to identify a sub-set of test scenarios from the plurality of different test scenarios that may have similar behavior characteristics. A sub-set of test scenarios is provided to a trained neural network to identify one or more sub-set of test scenarios. The one or more identified sub-set of test scenarios may correspond to one or more anomaly test scenarios from the sub-set of test scenarios that is most likely to lead to an undesirable outcome. The neural network may be one of: a conventional neural network and a modular neural network.

Abstract: Systems and methods are described herein for real-time data processing and for emergency planning. Scenario test data may be collected in real-time based on monitoring local or regional data to ascertain any anomaly phenomenon that may indicate an imminent danger or of concern. A computer-implemented method may include filtering a plurality of different test scenarios to identify a sub-set of test scenarios from the plurality of different test scenarios that may have similar behavior characteristics. A sub-set of test scenarios is provided to a trained neural network to identify one or more sub-set of test scenarios. The one or more identified sub-set of test scenarios may correspond to one or more anomaly test scenarios from the sub-set of test scenarios that is most likely to lead to an undesirable outcome. The neural network may be one of: a conventional neural network and a modular neural network.

Abstract: Systems and methods are described herein for real-time data processing and for emergency planning. Scenario test data may be collected in real-time based on monitoring local or regional data to ascertain any anomaly phenomenon that may indicate an imminent danger or of concern. A computer-implemented method may include filtering a plurality of different test scenarios to identify a sub-set of test scenarios from the plurality of different test scenarios that may have similar behavior characteristics. A sub-set of test scenarios is provided to a trained neural network to identify one or more sub-set of test scenarios. The one or more identified sub-set of test scenarios may correspond to one or more anomaly test scenarios from the sub-set of test scenarios that is most likely to lead to an undesirable outcome. The neural network may be one of: a conventional neural network and a modular neural network.

Abstract: Devices, methods, and systems for generating a three dimensional building management system are described herein. One method includes inputting, into a three dimensional graphics rendering engine, building information modeling data associated with a building, inputting, into the three dimensional graphics rendering engine, real time building management system data associated with the building, and generating, by the three dimensional graphics rendering engine, a three dimensional building management system for the building based on the building information modeling data and the real time building management system data.

Abstract: Devices, methods, and systems for generating a three dimensional building management system are described herein. One method includes inputting, into a three dimensional graphics rendering engine, building information modeling data associated with a building, inputting, into the three dimensional graphics rendering engine, real time building management system data associated with the building, and generating, by the three dimensional graphics rendering engine, a three dimensional building management system for the building based on the building information modeling data and the real time building management system data.

Abstract: Devices, methods, and systems for generating a three dimensional building management system are described herein. One method includes inputting, into a three dimensional graphics rendering engine, building information modeling data associated with a building, inputting, into the three dimensional graphics rendering engine, real time building management system data associated with the building, and generating, by the three dimensional graphics rendering engine, a three dimensional building management system for the building based on the building information modeling data and the real time building management system data.

Abstract: Devices, methods, and systems for generating a three dimensional building management system are described herein. One method includes inputting, into a three dimensional graphics rendering engine, building information modeling data associated with a building, inputting, into the three dimensional graphics rendering engine, real time building management system data associated with the building, and generating, by the three dimensional graphics rendering engine, a three dimensional building management system for the building based on the building information modeling data and the real time building management system data.

Abstract: A method of applying thin metal sensitizing deposits to the exposed silicon areas of a silicon substrate having areas of exposed silicon and silicon oxide, including the steps of immersing the silicon substrate in a basic, aqueous solution containing a metal salt of the metal to be deposited, particularly a nickel, cobalt, or platinum salt, and thereafter reducing the metal ion of the salt to the elemental metal by use of the exposed silicon as the reducing agent.

Abstract: A method of fabricating a semiconductor device comprises steps for forming recesses which can be used in the subsequent visual alignment of photomasks. The novel recess forming steps are so linked with a conventional processing step that the total number of steps required for the formation of the recesses is reduced. The present method is particularly adaptable to the fabrication of unisurface silicon controlled rectifiers wherein a doped isolation-type grid is formed to define each device.

Abstract: Regions of high resistivity, with respect to the surrounding material, are designed into a semiconductor device at points where hot-spots have been observed. A device made in this manner has very good second breakdown characteristics. One application is in large area junction transistors having an interdigitated base-emitter configuration.