Weber State University

Thorne, Smith, Astill Technologies, Inc.

Jay L Smith

Gale H Thorne

Roger E Smith

Mark E Astill

An apparatus ( ) may implement a method ( ) for creating ( ) a data-domain sampled network ( ). In certain embodiments, a method in accordance with the invention may define ( ) a data domain, provide ( ) points in a data-domain space or sub-space, followed by analyzing ( ) data in the data domain ( ). Analysis ( ) may involve selecting ( ) the dimensions or variables of interest, evaluating ( ) or determining ( ) the cycles per dynamic range, selecting ( ) an interpolation method, and selecting ( ) a number of sample points ( ) in each respective dimension ( ). Providing ( ) a data-domain network ( ) typically includes applying ( ) sampling theory to a native data domain ( ). Calculating ( ) waits for this by an interpolation module ( ) specifies the data-domain network in its native domain ( ).

Data-domain sampled network

A trainable, state-sampled, network controller (TSSNC) or state-sampled controller (SSC) requires little information regarding a plant (as with neural networks), but can use what information is available (as in classical controllers), and provides a linear network (as for CMAC) improving calculation speeds. A form of a governing differential equation characterizing a plant may include parameters and their derivatives of various orders as variables combined in linear and nonlinear terms. Classical control theory, and a method such as a Fourier transform of governing equations, may provide 8a form of a control law, linear in certain weights or coefficients. Knowledge of coefficients is not required for either the form of the governing equations or the form of the control law. An optimization method may be used to train the SSC, defining a table of weights (contributions to coefficients) to be used in the matrix equation representing the control law the solution yielding a control output to the plant. Sampling plant outputs, during training, may be done at a selected spatial frequency in state space (each dimension a variable from the control law). Sampling is used to provide ideal interpolation of the weights over the entire range of interest. Minimum memory is used with maximum accuracy of interpolation, and any control/output value may be calculated as needed in real time by a minimal processor.

Trainable, state-sampled, network controller

An assay employing a tracer comprising a ligand having a mercury label wherein mercury label is released from at least one of a bound or free tracer phase and interacts with a metal. Analyte is determined by a change in at least one property of the metal caused by such interaction. The invention also relates to a device for such an assay wherein mercury ions released from a free or bound tracer are caused to eventually amalgamate with a metal, and the presence and/or amount of analyte is determined by changes in the metal resulting from the eventual amalgamation which may be measured electrically or by other means. The invention also relates to novel assay instruments, novel lancets, assay sensors, assay sensor packets, instrumentation and combinations of assay components, and related methods.

Medical droplet whole blood and like monitoring

An assay employing a tracer comprising a ligand having a mercury label wherein mercury label is released from at least one of a bound or free tracer phase and iunteracts with a metal. Analyte is determined by a change in at least one property of the metal caused by such interaction. The invention also relates to a device for such an assay wherein mercury ions released from a free or bound tracer are caused to eventually amalgamate with a metal, and the presence and/or amount of analyte is determined by changes in the metal resulting from the eventual amalgamation which may be measured electrically or by other means. The invention also relates to novel assay instruments, novel lancets, assay sensors, assay sensor packets, instrumentation and combinations of assay components, and related methods.

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Ogden, UT, United States of America

Jay L Smith