Abstract: A method and system of globally monitoring space weather conditions, use an imager, including one or more telescopic instruments and one or more processors, containing computer program code. The imager is configured on a platform; and positioned in the near Earth space environment, where, based on the executed computer program code, the imager compiles information about space weather conditions, by directly detecting electron emissions on a global basis. Network interfaces coupled with the imager provide, over a communications network, a plurality of communications and information, about space weather conditions, between the imager and a plurality of operational space assets and operational Earth assets. The plurality of communications and information about space weather conditions includes signals and information which automatically alert the plurality of operational space assets and operational Earth assets of effects of a solar wind.

Abstract: A method and system of globally monitoring space weather conditions, use an imager, including one or more telescopic instruments and one or more processors, containing computer program code. The imager is configured on a platform; and positioned in the near Earth space environment, where, based on the executed computer program code, the imager compiles information about space weather conditions, by directly detecting electron emissions on a global basis. Network interfaces coupled with the imager provide, over a communications network, a plurality of communications and information, about space weather conditions, between the imager and a plurality of operational space assets and operational Earth assets. The plurality of communications and information about space weather conditions includes signals and information which automatically alert the plurality of operational space assets and operational Earth assets of effects of a solar wind.

Abstract: A similarity transform method of providing parameterized representation of physical or engineering functions for use in retrieving the engineering or physical functions from data, comprising (a) obtaining samples of the functions from data, numerical simulations, or analytic models, (b) extracting generic function shape information from the samples, (c) embedding the function shape information in a parametric discrete grid-based function representation model (forward model); (d) fitting data with the forward model; and (e) retrieving the function from the fitted forward model. The similarity transform method provides a framework for extracting generic function shape information, in the form of non-dimensional shape function, from data, numerical simulations, or analytic model. Thus, the present invention facilitates analysis of general characteristics of a physical or engineering variable, in terms of the dependence of the variable on other variables or parameters.

Abstract: A similarity transform method of providing parameterized representation of physical or engineering functions for use in retrieving the engineering or physical functions from data, comprising (a) obtaining samples of the functions from data, numerical simulations, or analytic models, (b) extracting generic function shape information from the samples, (c) embedding the function shape information in a parametric discrete grid-based function representation model (forward model); (d) fitting data with the forward model; and (e) retrieving the function from the fitted forward model. The similarity transform method provides a framework for extracting generic function shape information, in the form of non-dimensional shape function, from data, numerical simulations, or analytic model. Thus, the present invention facilitates analysis of general characteristics of a physical or engineering variable, in terms of the dependence of the variable on other variables or parameters.

Abstract: A similarity transform method of providing parameterized representation of physical or engineering functions for use in retrieving the engineering or physical functions from data, comprising (a) obtaining samples of the functions from data, numerical simulations, or analytic models, (b) extracting generic function shape information from the samples, (c) embedding the function shape information in a parametric discrete grid-based function representation model (forward model); (d) fitting data with the forward model; and (e) retrieving the function from the fitted forward model. The similarity transform method provides a framework for extracting generic function shape information, in the form of non-dimensional shape function, from data, numerical simulations, or analytic model. Thus, the present invention facilitates analysis of general characteristics of a physical or engineering variable, in terms of the dependence of the variable on other variables or parameters.

Abstract: A similarity transform method of providing parameterized representation of physical or engineering functions for use in retrieving the engineering or physical functions from data, comprising (a) obtaining samples of the functions from data, numerical simulations, or analytic models, (b) extracting generic function shape information from the samples, (c) embedding the function shape information in a parametric discrete grid-based function representation model (forward model); (d) fitting data with the forward model; and (e) retrieving the function from the fitted forward model. The similarity transform method provides a framework for extracting generic function shape information, in the form of non-dimensional shape function, from data, numerical simulations, or analytic model. Thus, the present invention facilitates analysis of general characteristics of a physical or engineering variable, in terms of the dependence of the variable on other variables or parameters.