Thesis (M.S. in Operations Research) Naval Postgraduate School, September 1996. / Thesis advisor(s): William G. Kemple. "September 1996." Includes bibliographical references (p. 121). Also available online.

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2005. / "13 May 05." Electronic version of original print document. Includes bibliographical references (p. 61-65).

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2005. / "13 May 05." Electronic version of original print document. Includes bibliographical references (p. 67-71).

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2005. / "13 May 05." Electronic version of original print document. Includes bibliographical references (p. 95-100).

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2006. / "14 APR 2006." Electronic version of original print document. Includes bibliographical references (p. 64-68).

Thesis (M.S. in Joint Campaign Planning and Strategy)--Joint Forces Staff College, Joint Advanced Warfighting School, 2007. / Title from title screen; viewed on July 9, 2007. "23 April 2007." Electronic version of original print document. Includes bibliographical references (p. 68-71).

We formulate and interpret several multi-modal registration methods inthe context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implicit assumptionsof each method yielding a better understanding of their relativestrengths and weaknesses. Additionally, we discuss a generativestatistical model from which we derive a novel analysis tool, the"auto-information function", as a means of assessing and exploiting thecommon spatial dependencies inherent in multi-modal imagery. Weanalytically derive useful properties of the "auto-information" aswell as verify them empirically on multi-modal imagery. Among theuseful aspects of the "auto-information function" is that it canbe computed from imaging modalities independently and it allows one todecompose the search space of registration problems.

Philosophiae Doctor - PhD / Adaptive networks are complex networks with nontrivial topological features and connection patterns between their elements which are neither purely regular nor purely random. Their applications are in sociology, biology, physics, genetics, epidemiology, chemistry, ecology, materials science, the traditional Internet and the emerging Internet of-Things. For example, their applications in sociology include social networks such as Facebook which have recently raised the interest of the research community. These networks may hide patterns which, when revealed, can be of great interest in many practical applications. While the current adaptive network models remain mostly theoretical and conceptual, however, there is currently no unified modelling framework for implementing the development, comparison, communication and validation of agent-based adaptive network models through using proper empirical data and computation models from different research fields. In this thesis, a unified framework has been developed that combines agent- based adaptive network models and adaptive control structures. In this framework, the control parameters of adaptive network models are included as a part of the state- topology coevolution and are automatically adjusted according to the observations obtained from the system being studied. This allows the automatic generation of enhanced adaptive networks by systematically adjusting both the network topology and the control parameters at the same time to accurately reflect the real-world complex system. We develop three different applications within the general framework for agent- based adaptive network modelling and simulation of real-world complex systems in different research fields. First, a unified framework which combines adaptive net- work models and adaptive control structures is proposed for modelling and simulation of fractured-rock aquifer systems. Moreover, we use this unified modelling framework to develop an automatic modelling tool, Fracture3D, for automatically building enhanced fracture adaptive network models of fractured-rock aquifer systems, in which the fracture statistics and the structural properties can both follow the observed statistics from natural fracture networks. We show that the coupling between the fracture adaptive network models and the adaptive control structures with iterative parameter identification can drive the network topology towards a desired state by dynamically updating the geometrical states of fractures with a proper adaptive control structure. Second, we develop a unified framework which combines adaptive network models and multiple model adaptive control structures for modelling and simulation of social network systems. By using such a unified modelling framework, an automatic modelling tool, SMRI, is developed for automatically building the enhanced social adaptive network models through using mobile-phone-centric multimodal data with suitable computational models of behavioural state update and social interaction update. We show that the coupling between the social adaptive network models and the multiple model adaptive control structures can drive the community structure of a social adaptive network models towards a desired state through using the suitable computational models of behavioural state update and social interaction update predetermined by the multiple model adaptive control structure. Third, we develop a unified framework which combines adaptive network models and support vector machine based adaptive control structures for modelling and simulation of multicast congestion in mobile ad hoc network systems. Moreover, a multicast congestion detection scheme, WMCD, has been developed for the unified modelling framework, in which the incipient congestions of group members can be predicted by using support vector machine-based prediction models and current traffic states. We show that the network’s throughput capacity is efficiently improved through using the unified modelling framework, which dynamically adjusting the group structures according to the updated congestion states of group members generated by the WMCD scheme in order to relieve the high load.

No description available.

There is no unified phenomenological model available for Zr alloys that allows for the inclusion of a complete set of texture input parameters in order to describe the anisotropic behaviour during plastic deformation at different strain rates and thermal creep. This research shows how AVBO, an anisotropic version of VBO, can be enhanced by introducing single crystal based tensors to describe the material response to different Kearns factors, which uniquely describe the texture of a sample with two numbers only. It is demonstrated with the aid of published thermal creep test data that small tensile deformation behaviour of Zr-2.5Nb is consistent with predominant slip of Zr alloy crystals parallel to their single crystal α basal planes, supporting the strategy to model the behaviour of these HCP materials with a phenomenological constitutive model. It is demonstrated that the new version of AVBO, ATXVBO, predicts trends consistent with a slip mechanism parallel to the basal planes. Multi-objective optimization was employed successfully to determine the set of 67 constants. It is proven that the theory relies on a limited number of tests to perform optimization of all the unknown constants. Numerous validation and sensitivity evaluations were performed to test the optimized solutions despite the limited availability of plastic deformation test data with documented texture information. It is demonstrated that, in order to capture dynamic strain aging effects, different strategies will be required at different evaluation temperatures. It is also shown that although texture variation can be accommodated that different manufacturing routes each requires a unique optimized set of constants. / Thesis / Doctor of Philosophy (PhD) / A unified phenomenological theory ATXVBO has been established that can predict the deformation of HCP materials, including Zr alloys, that can account for texture variation. It is postulated that the inelastic polycrystal properties can be derived from hypothetical single crystal properties and the Kearns factors, used to describe the texture.