Title of Dissertation: DEVELOPMENT OF SELF-ASSEMBLED ZnO NANOSTRUCTURES IN DIBLOCK COPOLYMERS ON LARGE AREA Si WAFERS AND GAS SENSOR APPLICATIONS Hasina Afroz Ali, Doctor of Philosophy, 2008 Dissertation Directed By: Agis A. Iliadis Department of Electrical and Computer Engineering ZnO nanoparticles with improved optical properties and increased surface areas have the potential for advanced opt...

In this work, a new type of optical fiber based chemical sensor, the sub-nanoliter sample cell (SNSC) based gas sensor, is described and compared to existing sensors designs in the literature. This novel SNSC gas sensor is shown to have the capability of gas detection with a cell volume in the sub-nanoliter range. Experimental results for various configurations of the sensor design are presente...

DSBNþ, a conjugated oligoelectrolyte (COE), was added to microbial electrolysis cells (MECs) to improve hydrogen recovery. The volume of hydrogen gas recovered in a fedbatch cycle of mixed culture MECs increased by 126 compared to controls (no COE addition), mainly by preventing the loss of hydrogen to methane production. Performance in pure culture MECs fed with Geobacter sulfurreducens increa...

We have experimentally demonstrated a compact, integrated optical hydrogen sensor on a silicon-on-insulator platform. The sensor consists of silicon waveguide coated with a thin palladium film. The sensitivity and response time of the sensor was tested for volumetric hydrogen concentrations ranging from 0% to 4%. The proposed hydrogen sensor shows great potential as a building block for an opti...

The escalating demand in automotive industry nowadays has evoked civic awareness towards environmental issues brought by the exhaust emissions through fossil fuel combustion engine or hydrogen leak in fuel cell vehicles. Metal-oxide-semiconductor (MOS)-based gas sensors that were able to monitor the changes of oxygen and hydrogen leak were required. By replenishing the conventional silicon-MOS-...

In this paper, ‎the multi-sensor fault diagnosis in the exhaust temperature sensors of a V94.2 heavy duty gas turbine is presented‎. ‎A Laguerre network-based fuzzy modeling approach is presented to predict the output temperature of the gas turbine for sensor fault diagnosis‎. Due to the nonlinear dynamics of the gas turbine, in these models the Laguerre filter parts are related to the linear d...