Wind energy is one of the fastest growing renewable forms of energy in the United States and the world. However, interactions between wind turbines and wildlife have the possibility to injure animals such as birds and bats. Strategies to assess and minimize wind turbine interactions with wildlife are critical for...
At the macroscopic scale, we have pumps that use the classical laws of physics to move liquids at a well defined rate. In the microscopic world, physicists are exploring pumps that make use of quantum mechanical behavior to build analogous pumps for quantum particles. The importance of such “quantum pumps”...
Human-robot teams involve humans and robots collaborating to achieve tasks under various environmental conditions. Successful teaming requires robots to adapt autonomously in real-time to a human teammate's state. An important element of such adaptation is the ability for the robot to infer the tasks performed by their human teammates. Human-robot...
The use of genetic algorithms to compose music and generate sounds is an area of interest in the artificial intelligence field. Music and instrument sounds have known rules and structures that can be followed which make them well-suited for genetic algorithms. However, genetic algorithms still struggle to generate sounds comparable...
We report the use of MIL-120 as a water-stable and cost-effective metal-organic framework (MOF) for selectively capturing CO₂ from wet flue gas. Synthesized using inexpensive and environmentally benign reagents in water, MIL-120 possesses one-dimensional pores decorated with hydroxyl-bridged Al(III) ions and benzene rings with an interstitial spacing of 4.78 Å....
This work investigates the acoustic velocity of gas-liquid mixtures in vertical, co-current flow in a concentric annulus. Acoustic velocity shows promise as a detection parameter for the presence and amount of gas in a liquid flow because of its high sensitivity to gas void fraction in a gas-liquid mixture. However,...
Optical sensing technologies are pivotal in the manufacturing process, specifically in defect detection, tool condition estimation, and monitoring. The research aims to enhance the accuracy, efficiency, and reliability of manufacturing metrology by employing optical sensing technologies, such as laser profilometers and image processing techniques. The dissertation proposes intelligent and flexible...
The continued long-term use of fossil fuels as a primary energy source has resulted in dramatic increases in greenhouse gas emissions and the associated concerns of climate change and environmental pollution. A key strategy to circumvent these issues is a global shift away from fossil fuels toward renewable energy sources....
Sediment convergence and divergence zones create subaqueous morphological features that range from ripples O (cm) to coastlines O (km). However, there is a gap in knowledge associated with quantifying the contribution of small-scale ripple mobility to the evolution of large-scale morphology. To address this gap, we investigate how small-scale ripples...
We define an inner product on a vector space of adelic measures over a number field $K$. We find that the norm induced by this inner product governs weak convergence at each place of $K$. The canonical adelic measure associated to a rational map is in this vector space, and...