Design and Development of an FPGA-based Distributed Computing Processing Platform

This thesis presents two frameworks- a software framework and a hardware core manager framework- which, together, can be used to develop a processing platform using a distributed system of field-programmable gate array (FPGA) boards. The software framework providesusers with the ability to easily develop applications that exploit the processing power of FPGAs while the hardware core manager framework gives users the ability to configure and interact with multiple FPGA boards and/or hardware cores. This thesis describes the design and development of these frameworks and analyzes the performance of a system that was constructed using the frameworks. The performance analysis included measuring the effect of incorporating additional hardware components into the system and comparing the system to a software-only implementation. This work draws conclusions based on the provided results of the performance analysis and offers suggestions for future work.

Advantages and Applications of Transforming Empirical Model Input Space with Dimensional Models

Model-based calibration of steady-state engine operation is commonly performed with highly parameterized empirical models that are accurate but not very robust, particularly when predicting highly nonlinear responses such as diesel smoke emissions. To address this problem, and to boost the accuracy of more robust non-parametric methods to the same level, GT-Power was used to transform the empirical model input space into multiple input spaces that simplified the input-output relationship and improved the accuracy and robustness of smoke predictions made by three commonly used empirical modeling methods: Multivariate Regression, Neural Networks and the k-Nearest Neighbor method. The availability of multiple input spaces allowed the development of two committee techniques: a 'Simple Committee' technique that used averaged predictions from a set of 10 pre-selected input spaces chosen by the training data and the "Minimum Variance Committee" technique where the input spaces for each prediction were chosen on the basis of disagreement between the three modeling methods. This latter technique equalized the performance of the three modeling methods. The successively increasing improvements resulting from the use of a single best transformed input space (Best Combination Technique), Simple Committee Technique and Minimum Variance Committee Technique were verified with hypothesis testing. The transformed input spaces were also shown to improve outlier detection and to improve k-Nearest Neighbor performance when predicting dynamic emissions with steady-state training data. An unexpected finding was that the benefits of input space transformation were unaffected by changes in the hardware or the calibration of the underlying GT-Power model.

Applied Developmental Psychology as an Implementation of the Life-Span View of Human Development

Application of knowledge about psychological development should, ideally, be theory based. As such, these applications represent “natural ontogenetic experiments”; the results of the evaluation of such interventions feed back to the theory, helping to support, falsify, or refine the ideas from the theory which led to the particular application. Such applied developmental intervention research is central within a currently popular perspective of life-span human development. Thus, applied developmental intervention research provides critical tests of such key concepts within this life-span perspective as: plasticity; multidirectionality; the synthesis of continuous and discontinuous processes across ontogeny; contextual embeddedness; and the role of individuals as agents in their own development. This paper elucidates some of the major features of the dynamic linkage between applied developmental psychology and this view of life-span human development. Key elements of this life-span perspective and the facts of developmental intervention, as seen from this perspective, are specified. Finally, the doctoral training program at the authors' institution is presented as one example of how this link may be institutionalized in the form of graduate education.