Thesis (Ph. D.)--University of Washington, 1997. / Vita. Includes bibliographical references (p. [81]-83).

Thesis (M.S.)--Oregon State University, 2010. / Printout. Includes bibliographical references (leaves 86-88). Also available on the World Wide Web.

Thesis (M.S.E.E.)--University of Central Florida, 2009. / Adviser: Issa Batarseh. Includes bibliographical references (p. 79).

Thesis (M.S.) in Electrical Engineering--University of Maine, 2003. / Includes vita. Includes bibliographical references (leaves 55-57).

Thesis (M.S.)--Materials Science and Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Tummala Rao; Committee Member: Pulugurtha Raj; Committee Member: Wong C P. Part of the SMARTech Electronic Thesis and Dissertation Collection.

No description available.

D.Ing. / Training data are developed for an ANN controlling a laboratory scale HPC. Special attention is given to the development of a cost function to determine the optimal state of the HPC for a particular input state. The cost function uses the reactive power compensation efficiency (77Q), the distortion compensation efficiency (rid) and the losses in the HPC (PLHP0 as optimisation parameters. After a process of optimisation the ANN is trained with a randomised training set of size 2000. A 5:10:6 ANN topology representing 5 input layer neurons, 10 hidden layer neurons and 6 output layer neurons is used. The optimisation results in shorter training times as well as more effective training. A laboratory scale experiment, which practically proves that an ANN can make meaningful choices in terms of HPC control, is conducted. The adaptive behaviour of the ANN controller for the HPC is evaluated by means of the interactive integrated state space model. It is found that the ANN controller can sensibly adapt its output under conditions of line impedance change as well as conditions of load changes of users sharing the same point of coupling as the consumer being compensated. The conclusion from this research is that it is viable to apply AI in the control of an HPC. A non-linear, time-varying system such as this ideally lends itself to the application of ANN control. The total cost of the HPC is expected to be minimised while minimum standards in terms of compensation are still maintained. The performance of such an ANN controller is however strongly dependent on the integrity of the training data. Using an actual system to set up the training data would be the ideal in refining the ANN model. Devising a strategy to continually update the training of the ANN to ensure the relevancy with respect to the dynamic range of the ANN is recommended as an area for further research.

No description available.

Miniaturization of electronic products due to the current trend in the electronics industry has led to the integration of components within the chip and package. Traditionally, individual decoupling capacitors placed on the surface of the board or the package have been used to decouple active switching circuits. However, with an increase in the clock rates and its harmonics with technology nodes, decoupling has to be provided in the GHz range. Discrete decoupling capacitors are no longer effective in this region because of the increased inductive effects of the current paths of the capacitors, which limits its effectiveness in the tens of MHz range. The use of embedded individual thick film capacitors within the package is a feasible solution for decoupling core logic above 100 MHz. They overcome the limitations of SMDs (Surface Mount Discretes), primarily in decoupling active circuits in the mid-frequency band. Inclusion of embedded planar capacitors in the board stack up have shown improvements in the overall impedance profile and have shown to exhibit better noise performance. The main contributor to the superior performance is the reduced inductive effects of the power-ground planes because of the thinner dielectrics of the embedded capacitor. The modeling, measurement and characterization of embedded decoupling capacitors in the design of PDNs (Power Distribution Networks) has been investigated in this thesis.

Thesis (Ph.D.)--University of Melbourne, School of Chemistry, 2006. / Typescript. Includes bibliographical references.