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Engineering, Science, & Technology

Creating, innovating, addressing challenges, solving problems, and improving the quality of lives in society.

Ensemble learning is a widely used technique in Data Mining, this method allows us to aggregate models to reduce prediction error. There are many methods on how to perform model aggregation, one of them is known as Random Subspace Learning, which consists of building... READ MORE
A new type of sliding mode controller scheme, which requires no knowledge of system model, is derived in this work. The controller is solely based on previous control inputs and state measurements to generate the updated control input effort. The only knowledge required to derive... READ MORE
Hierarchical temporal memory (HTM) is an emerging machine learning algorithm, with the potential to provide a means to perform predictions on spatiotemporal data. The algorithm, inspired by the neocortex, consists of two primary components, namely the spatial pooler (SP) and the temporal memory (TM).... READ MORE
Hypothesis testing is an integral part in the process of experimental design that is used to identify significant effects in a study. A significant effect is one that is statistically determined to influence the response variable of interest and is based on the results of... READ MORE
Two very important factors in determining the effectiveness of a pump are its volumetric and energy efficiencies. Yin and Ghoneim constructed a prototype of a flexible body pump with a high volumetric efficiency (pumping potential). The high volumetric efficiency was attributed to the geometry of... READ MORE
In the field of engineering, researches often come across strong nonlinear boundary value problems which cannot be solved easily. Numerical convergence for many problems, typically solved by the Newton-Raphson linearization algorithm, is sensitive to the initial approach, relaxation parameters and differential topology. Emphasis in... READ MORE
Very-Large Scale Integration (VLSI) is the problem of arranging components on the surface of a circuit board and developing the wired network between components. One methodology in VLSI is to treat the entire network as a graph, where the components correspond to vertices and... READ MORE
The gaming industry has been on constant rise over the last few years. Companies invest huge amounts of money for the release of their games. A part of this money is invested in testing the games. Current game testing methods include manual execution of pre-written... READ MORE
Let F and H be fixed graphs and let G be a spanning subgraph of H. G is an F-free subgraph of H if F is not a subgraph of G. We say that G is an F-saturated subgraph of H if G... READ MORE
Compressed Sensing (CS) exploits the sparsity of many signals to enable sampling below the Nyquist rate. If the original signal is sufficiently sparse, the Basis Pursuit (BP) algorithm will perfectly reconstruct the original signal. Unfortunately many signals that intuitively appear sparse do not meet the... READ MORE
Compressed Sensing (CS) exploits the sparsity of many signals to enable sampling below the Nyquist rate. If the original signal is sufficiently sparse, the Basis Pursuit (BP) algorithm will perfectly reconstruct the original signal. Unfortunately many signals that intuitively appear sparse do... READ MORE
Many components of phylogenetic inference belong to the most computationally challenging and complex domain of problems. To further escalate the challenge, the genomics revolution has exponentially increased the amount of data available for analysis. This, combined with the foundational nature of phylogenetic analysis, has prompted... READ MORE
Data centers play an increasingly important role in processing the large amount of information generated in today's society. An enormous amount of growth in the computational demands of data center applications has stimulated the creation of warehouse scale data centers, holding servers that number... READ MORE
Transistor technology scaling has been the driving force in improving the size, speed, and power consumption of digital systems. As devices approach atomic size, however, their reliability and performance are increasingly compromised due to reduced noise margins, difficulties in fabrication, and emergent nano-scale phenomena.... READ MORE
This thesis research aims to conduct a study on a cost-sensitive listwise approach to learning to rank. Learning to Rank is an area of application in machine learning, typically supervised, to build ranking models for Information Retrieval systems. The training data consists of lists of... READ MORE
We experimentally demonstrate a 31.2-dB-contrast all-optical AND gate based on a Fabry-Pérot semiconductor optical amplifier (SOA). Typically, cross phase modulation is the dominant nonlinearity as it shifts a FPSOA resonance to trigger the AND-gate functionality. Cross polarization modulation (XPolM) is introduced here to produce a... READ MORE
Continuous improvement in silicon process technologies has made possible the integration of hundreds of cores on a single chip. However, power and heat have become dominant constraints in designing these massive multicore chips causing issues with reliability, timing variations and reduced lifetime of the... READ MORE
Ionic polymer-metal composites (IPMCs) have become an area of interest in the past decade for their unique properties as actuators. Conventional IPMCs require the use of rare earth metals for electrodes making the fabrication of these materials expensive, time consuming to produce, and not... READ MORE
The purpose of this thesis was to introduce a standard method for designing efficient and sustainable packages to the packaging industry. This thesis has focused on how a standardized process has helped to design efficient, cost-effective and sustainable packages in the food industry. The standardized... READ MORE