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In recent years industrial arts programs have experienced a rapid increase in student enrollment. This is especially true of the drafting area. The extraordinary rate of industrial development within our state is largely responsible for demands for improved training in high school drafting programs.

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Multidomain modeling has become more and more important, especially since integrated design strategies have imposed themselves for reaching higher standards in system efficiency and precision. This research deals with electromechanical systems with large multibody structure and tight interaction between electrical and mechanical parts. In the first part of this work, the author present an in depth confrontation of existing unified modeling theories: Bond Graphs, Linear Graphs and Virtual Work Principle. A simple example is used to illustrate the use of these theories and their application on multibody systems is discussed. A new modeling strategy is proposed in the second part of this text. On the basis of a symbolic implementation of dedicated formalisms, the author proposes to generate the symbolic submodels for the mechanical and the electrical parts separately and to couple the obtained equations into one global symbolic model, provided to the numerical integrator. This modeling strategy is then applied to several applications. Firstly, simple electrical circuits and electromechanical systems are considered in order to validate the tools which were developed during this work. The validation was achieved by comparison with existing modeling tools and also with experimental measurements. Secondly, more complex industrial applications are presented : 1. a parking gate system, consisting in a flexible barrier mounted on a six-bar mechanism driven by a three phase induction motor, 2. an articulated railway bogie actuated by two induction motors.

We formulate and interpret several multi-modal registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implicit assumptions of each method yielding a better understanding of their relative strengths and weaknesses. Additionally, we discuss a generative statistical model from which we derive a novel analysis tool, the "auto-information function", as a means of assessing and exploiting the common spatial dependencies inherent in multi-modal imagery. We analytically derive useful properties of the "auto-information" as well as verify them empirically on multi-modal imagery. Among the useful aspects of the "auto-information function" is that it can be computed from imaging modalities independently and it allows one to decompose the search space of registration problems.

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2006. / "April 14, 2006." Electronic version of original print document. Includes bibliographical references (p. 64-65).

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Modeling software with object-oriented technique and unified modeling language have become the new paradigm of modern information systems analysis and design. In addition, many approaches and CASE tools have been introduced to facilitate the transformation from class diagram to object-relational database and application template and thereby enhance the efficiency of system development. Model-driven architecture (MDA) and Rational Rose is such an approach and CASE tool, respectively. This research presents a systematic methodology which integrated the MDA concept to transform the class diagram into object-relational database and application template during the system development process. A real-world case using the integrated techniques is presented and the Rational Rose is used to illustrate the concepts, application, and the advantages of using the proposed methodology. With this approach, the system developer can transform class diagram into object-relational database and application template automatically and thereby enhance the efficiency of system development.