Zhao Yang. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 87-95). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Objectives of the Thesis --- p.1 / Chapter 1.2 --- Wafer bumping inspection by using Biplanar Disparity approach --- p.2 / Chapter 1.3 --- Thesis Outline --- p.4 / Chapter 2 --- Background --- p.5 / Chapter 2.1 --- What is wafer bump? --- p.5 / Chapter 2.1.1 --- Common defects of wafer bump --- p.6 / Chapter 2.1.2 --- Literature review on exist wafer bump inspection method --- p.11 / Chapter 3 --- Model 1: the one camera model-Homography approach --- p.21 / Chapter 3.1 --- The introduction of the theoretical base of model 1 --- p.21 / Chapter 3.1.1 --- The objective of model 1 --- p.21 / Chapter 3.1.2 --- Desires --- p.22 / Chapter 3.1.3 --- Some background knowledge on Homography --- p.22 / Chapter 3.2 --- "Model 1- ""Pseudo Homography"" Approach" --- p.24 / Chapter 3.2.1 --- The description of the configuration of model 1 --- p.24 / Chapter 3.2.2 --- The condition of pseudo Homography --- p.25 / Chapter 3.2.3 --- The formation of pseudo Homgraphy H --- p.26 / Chapter 3.3 --- Methodology of treatment of the answer set --- p.32 / Chapter 3.3.1 --- Singular Value Decomposition-SVD --- p.32 / Chapter 3.3.2 --- The Robust Estimation --- p.33 / Chapter 3.3.3 --- Some experimental results by using manmade Ping Pang balls to test SVD[31] and Robust Estimation [24] --- p.35 / Chapter 3.3.4 --- the measurement of the Homography matrix answer set --- p.37 / Chapter 3.4 --- Preliminary experiment about model 1 --- p.43 / Chapter 3.5 --- Problems unsolved --- p.47 / Chapter 4 --- Model 2: the two camera model-Biplanar Disparity approach --- p.48 / Chapter 4.1 --- Theoretical Background --- p.48 / Chapter 4.1.1 --- the linearization of Homography matrix changes --- p.49 / Chapter 4.1.2 --- Problem Nature --- p.51 / Chapter 4.1.3 --- Imaging system setup --- p.52 / Chapter 4.1.4 --- Camera Calibration[13] --- p.52 / Chapter 4.2 --- Methodology --- p.54 / Chapter 4.2.1 --- Invariance measure --- p.54 / Chapter 4.2.2 --- The Geometric meaning of the Biplanar Disparity matrix --- p.58 / Chapter 4.3 --- RANSAC-Random Sample Consensus --- p.64 / Chapter 4.3.1 --- finding Homography matrix by using RANSAC[72] [35] --- p.64 / Chapter 4.3.2 --- finding Fundamental matrix by using RANSAC[73] [34] --- p.65 / Chapter 4.4 --- Harris Corner detection --- p.65 / Chapter 5 --- Simulation and experimental results --- p.67 / Chapter 5.1 --- Simulation experiments --- p.67 / Chapter 5.1.1 --- Preliminary experiments --- p.67 / Chapter 5.1.2 --- Specification for the synthetic data system --- p.71 / Chapter 5.1.3 --- Allowed error in the experiment --- p.71 / Chapter 5.2 --- Real images experiments --- p.72 / Chapter 5.2.1 --- Experiment instrument --- p.72 / Chapter 5.2.2 --- The Inspection Procedure --- p.74 / Chapter 5.2.3 --- Images grabbed under above system --- p.75 / Chapter 5.2.4 --- Experimental Results --- p.81 / Chapter 6 --- CONCLUSION AND FUTURE WORKS --- p.83 / Chapter 6.1 --- Summary on the contribution of my work --- p.83 / Chapter 6.2 --- Some Weakness of The Method --- p.84 / Chapter 6.3 --- Future Works and Further Development --- p.84 / Chapter 6.3.1 --- About the synthetic experiment --- p.84 / Chapter 6.3.2 --- About the real image experiment --- p.85 / Bibliography --- p.87

No description available.

Class of 2007 Abstract / Objectives: To evaluate the efficacy of carmustine wafers over placebo plus surgery in the treatment of primary glioblastoma multiforme. Methods: Searches of MEDLINE (1966-2007), ASH (American Society of Hematology) abstracts, and ASCO (American Society of Clinical Oncology) abstracts were conducted to obtain clinical outcomes data (meta- analysis, randomized controlled studies) for the carmustine wafers or for the traditional form of therapy, surgical resection of glioblastoma multiforme. Serious adverse events associated with the chemotherapeutic agent were identified and their respective rates of incidence calculated. Three prospective randomized controlled trials were used to provide point estimates and distributions for the Monte Carlo simulation. Parameters used to populate the Markov model were derived from the extant primary literature for patients undergoing surgical resection with either carmustine or placebo for glioblastoma multiforme. The base case was a 50 year old male with primary glioma. Results: Findings indicated that carmustine wafers increased survival over placebo from 54.05 months [95% confidence interval 46.25-61.07] to 69.87 months [95% confidence interval 67.02-71.94]. Serious side effects such as intracranial hemorrhage, seizures, and infections were also taken into account in the decision analytic model. Conclusions: Carmustine wafers significantly increase survival in patients undergoing surgical resection for glioblastoma multiforme. Therefore, carmustine wafers should be used as an adjunct to surgery in these patients.

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 2001. / Includes bibliographical references.

No description available.

Thesis--PlanB (M.S.)--University of Wisconsin--Stout, 1998. / Includes bibliographical references.

Thesis (M.S.)--Rochester Institute of Technology, 2004. / Typescript. Includes bibliographical references (leaves 72-75).

Thesis (M.S.), Oregon Graduate Institute of Science & Technology, 1993.

Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

Thesis (M.S.)--Rochester Institute of Technology, 1988. / Typescript. Includes bibliographical references (leaves 94-95).