Browsing by Author "Smith, Michael Richard"
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Item Open Access A complex domain neural network based data extrapolation algorithm and its applications in MRI(1995) Hui, Yan; Smith, Michael RichardItem Open Access A hybrid Markov prediction model for web prefetching(2003) Wang, Ying; Smith, Michael RichardItem Open Access A Serial Communication-Based FPGA Co-Emulation Test Bench(2018-04-23) Cao, Dingcheng; Smith, Michael Richard; Far, Behrouz Homayoun; Yanushkevich, Svetlana N.FPGA designs are verified first with the simulation testing on a computer to check their behavior, and next verified with the emulation tested in an actual FPGA system to check its functional and timing performance. Co-emulation technology has been introduced to combine the simulation and emulation verification into one step which verifies the design by running the simulation test case directly on an FPGA board. Current co-emulation test benches accelerate the verification speed but need complex hardware to support its parallel communication interface. This research proposes to replace the parallel communication interface with a serial design to reduce the complexity of the hardware design. According to this proposal, the thesis introduces the hierarchy and architecture of the serial communication-based co-emulation test framework. It develops the proposed test bench based on the framework. Finally, it demonstrates the simulation and co-emulation test result to prove the feasibility of the proposed test benchItem Open Access Adapting desktop-centric software testing concepts for embedded systems development(2012) Tran, Albert Le Cat; Smith, Michael RichardItem Open Access Adaptive wavelet-based noise filtering techniques(1998) Faghih, Farshad; Smith, Michael RichardItem Open Access Addressing the limitations of dynamic susceptibility contrast magnetic resonance perfusion studies(2005) Salluzzi, Marina; Smith, Michael RichardItem Open Access Alternative MRI reconstruction techniques using modeling(1993) Yang, Jie; Smith, Michael RichardItem Open Access An image processing approach for motion artifact suppression in magnectic resonance imaging(1998) Yang, Weifang; Smith, Michael RichardItem Open Access Application of data mining to mammographic data(2004) Wang, Xiaozheng; Smith, Michael Richard; Rangayyan, Rangaraj M.Item Open Access Application of Efron's bootstrap methods to evaluate the performance of neural networks in the classification of mammographic features(2005) Liu, Yuhong Kay; Smith, Michael RichardItem Open Access Application of test-driven development to biomedical algorithms(2010) Qiao, Juan; Smith, Michael RichardItem Open Access Architectural design of a computing element for signal processing(1986) Orbay, Hakan; Smith, Michael RichardItem Open Access Business value of software process improvement(2001) Sterner, Patricia; Smith, Michael RichardItem Open Access Compensation of metallic implant related artifcats in magnetic resonance imaging(2004) Pauchard, Yves; Mintchev, Martin P.; Smith, Michael RichardItem Open Access Design and implementation of a high speed digital signal processor(1989) Smit, Theodorus J.; Smith, Michael RichardItem Open Access Development and application of a broadband near-infrared system using the second differential spectrum method(2008) Zhang, Qiong; Dunn, Jeffrey F.; Smith, Michael RichardItem Open Access Evaluation of Dynamic Time Warp Barycenter Averaging (DBA) for its Potential in Generating a Consensus Nanopore Signal for Genetic and Epigenetic Sequences(IEEE, 2018-07) Chan, Rachel; Gordon, Paul M. K.; Smith, Michael RichardEpigenetics is a chemical modification to DNA without changes in the base sequence. While it is known that epigenetic modifications have far reaching implications on how genes are expressed, it is difficult to identify what the modification is or where it can be found. A next-generation method of sequencing called nanopore sequencing may be the solution. Nanopore sequencing runs a voltage bias across the DNA sequence and outputs a unique electric response to each genetic unit. Epigenetic modifications may then be identified by their distinct electric response. In this paper we provide preliminary results of applying dynamic time warp Barycenter Averaging (DBA) to multiple noisy nanopore streams to generate a consensus signal that can be used to identify genetic sequences and their modifications. DBA convergence rates, time complexity, together with qualitative and quantitative metrics to compare the consensus signal with gold standards are evaluated.Item Open Access High quality magnetic resonance imaging using reduced data sets and ARMA modeling(1988) Saar, Werner Michael; Smith, Michael RichardItem Open Access Identifying Appropriate Dynamic Time Warping, DTW, Metrics to Evaluate the Quality of Vocoder Time-Stretched Speech Phrases(IEEE, 2018-07) Tanaka, Mai; Smith, Michael RichardTo improve comprehension in a noisy environment, we suggest sending short speech phrases slowed by a phase vocoder directly to seniors’ hearing aids. Dynamic time warping, DTW, metrics for evaluating the speech quality of vocoder modified phrases are compared.Item Open Access Investigations of recovery following optic neuritis using functional and structural imaging(2010) Zayed, Nourhan Mohamed Hassan; Goodyear, Bradley; Smith, Michael Richard
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