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Engineering, Science, & Technology

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

This project examined estimated emission reductions from implementing advanced control technologies in heavy duty diesel engines and to assess potential emission impacts from trucks supporting the High Volume Hydraulic Fracturing (HVHF) industry in Pennsylvania’s portion of the Marcellus Shale Formation. Models were run... READ MORE
Color Doppler Ultrasound (CDUS) is a method of non-invasive fluid velocity measurement that is used for regular cardiac screenings as well as during complex surgeries such as valve replacements. A Color Doppler image is a contour map of the velocity field and can thereby... READ MORE
Solar crop drying is a cheap and effective way to preserve food material, especially in developing countries where fuel and electricity are expensive or unavailable. Some tropical fruits are difficult to transport and store leading to significant spoilage. Without access to fuel and large... READ MORE
Current research in computer vision and machine learning has demonstrated some great abilities at detecting and recognizing objects in natural images. Current state-of-the-art results in object detection, classification and localization in ImageNet Challenges have the validation accuracy for top 5 predictions for classification to... READ MORE
Wind power is one of the fastest growing power sources worldwide. Large installations of wind power generation are prominent in Asia, Europe and the United States. The gear boxes and bearings of large wind turbines continue to be huge liabilities and fail well short... READ MORE
With the continuous scaling of device dimensions, the number of cores on a single die is constantly increasing. This integration of hundreds of cores on a single die leads to high power dissipation and thermal issues in modern Integrated Circuits (ICs). This causes problems... READ MORE
The purpose of this paper was to develop a new test method for packaging perforation evaluation to replace the current test method due to the human variables during test and the inconsistency of test results. First, an end user survey was conducted to find out... READ MORE
With increasing environmental concerns, recovery of used products through various options has gained significant attention. In order to collect, categorize and reprocess used products in a cost and time efficient manner, a pre-evaluated network infrastructure is needed in addition to existing traditional forward logistics... READ MORE
Solar energy is abundant and is distributed all over the earth. While all renewable energy resources are important, solar energy has the potential to meet high levels of energy demand [1]. Silicon occupies 90% of the PV market and single crystalline silicon solar cells account... READ MORE
Inverse problems have been studied in great detail and optimization methods using objective functionals such as output least-squares (OLS) and modified output least-squares (MOLS) are well understood. However, the existing literature has only dealt with identifying parameters that appear linearly in systems of partial differential... READ MORE
The goal of this thesis is to develop a voice-controlled human-robot interface (HRI) which allows a person to control and communicate with a robot. Dragon NaturallySpeaking, a commercially available automatic speech recognition engine, was chosen for the development of the proposed HRI. In order... READ MORE
In this thesis, renewal theory is used to analyze patterns of outcomes for discrete random variables. We start by introducing the concept of a renewal process and by giving some examples. It is then shown that we may obtain the distribution of the number... READ MORE
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