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Full-Text Articles in Engineering
Approximation And Optimization Of An Auditory Model For Realization In Vlsi Hardware, Samuel L. Sangregory
Approximation And Optimization Of An Auditory Model For Realization In Vlsi Hardware, Samuel L. Sangregory
Theses and Dissertations
The Auditory Image Model (AIM) is a software tool set developed to functionally model the role of the ear in the human hearing process. AIM includes detailed filter equations for the major functional portions of the ear. Currently, AIM is run on a workstation and requires 10 to 100 times real-time to process audio information and produce an auditory image. An all-digital approximation of the AIM which is suitable for implementation in very large scale integrated circuits is presented. This document details the mathematical models of AIM and the approximations and optimizations used to simplify the filtering and signal processing …
Water Resources Systems Analysis - Course Notes, A Bruce Bishop, Trevor Hughes, Mac Mckee
Water Resources Systems Analysis - Course Notes, A Bruce Bishop, Trevor Hughes, Mac Mckee
All ECSTATIC Materials
Water resources systems analysis course notes for CEE 6410 taught at Utah State University. Coverage includes:
Chapter 1 - Concepts and methods
Chapter 2 - Linear programming-introduction and graphical methods
Chapter 3 - Linear programming - simplex method
Chapter 4 - Linear programming - applications to simple water problems
Chapter 5 - Dual LP and post optimality analysis
Chapter 6 - Integer programming
Chapter 7 - More applications of integer programmign
Chapter 8 - Piecewise linearization
Chapter 9 - Other types of LP models
Chapter 10 - Dynamic programming
Chapter 11 - Gradient-based nonlinear optimization methods
Chapter 12 - Genetic …
Technology Selection For The Air Force Research Laboratory Air Vehicles Directorate: An Analysis Using Value Focused Thinking, Michael F. Winthrop
Technology Selection For The Air Force Research Laboratory Air Vehicles Directorate: An Analysis Using Value Focused Thinking, Michael F. Winthrop
Theses and Dissertations
A technology selection model was developed for the Air Vehicles Directorate of Air Force Research Laboratory. The model was developed and demonstrated to aid in addressing the question of what technologies Air Vehicles' should invest in to remain consistent with Air Force values. Both Value-Focused Thinking and optimization approaches were used to identify the value of Air Vehicles technology, to provide insights to Air Vehicles' decision-makers, to determine where value gaps might exist with the scored alternatives, and to determine how sensitive the model was to changes. As a demonstration of the approach, seven technologies were scored, representing all three …
Optimization Of Soliton Amplitude In Dispersion-Decreasing Nonlinear Optical Fibres, Ken I M Mckinnon, Noel Smyth, Annette L. Worthy
Optimization Of Soliton Amplitude In Dispersion-Decreasing Nonlinear Optical Fibres, Ken I M Mckinnon, Noel Smyth, Annette L. Worthy
Faculty of Engineering and Information Sciences - Papers: Part A
The compression of a cw into a periodic train of noninteracting solitons by a dispersion-decreasing fiber is investigated with a variational method. To model the evolution from the cw to the soliton train, an elliptic-function-based expression is used as the trial function in the averaged Lagrangian. Both a continuous dispersion variation and a step dispersion variation in the fiber are considered. By use of an optimization method based on the approximate variational equations, the optimal dispersion profile required for achieving maximum pulse compression in a fixed length of fiber is determined. The solutions of the approximate equations are compared with …
Fed-Batch Dynamic Optimization Using Generalized Dual Heuristic Programming, Donald C. Wunsch, M. S. Iyer
Fed-Batch Dynamic Optimization Using Generalized Dual Heuristic Programming, Donald C. Wunsch, M. S. Iyer
Electrical and Computer Engineering Faculty Research & Creative Works
Traditionally fed-batch biochemical process optimization and control uses complicated theoretical off-line optimizers, with no online model adaptation or re-optimization. This study demonstrates the applicability, effectiveness, and economic potential of a simple phenomenological model for modeling, and an adaptive critic design, generalized dual heuristic programming, for online re-optimization and control of an aerobic fed-batch fermentor. The results are compared with those obtained using a heuristic random optimizer