Stander Symposium abstract book - University of Dayton

9:00 AM to 10:30 AM
are not affected by rain. When this method is used in conjunction with phase correlation, we are able to remove rain of medium density from
videos even when complex camera movement is involved. By making the selection of candidate rain pixels in an adaptive manner, we were able
to remove rain when moving objects are present in the scene. However, the movement is causing some noise along the edges in the resultant
videos. We are in the process of devising a method to remove that noise. By excluding the directional property of rain streaks and including some
constraints related to intensity, we were able to adapt the algorithm to removing snow from videos as well. However, the results are noisy and
research is in progress to make the algorithm more effective in such scenarios.
Position-Adaptive Direction Finding for Multi-Platform RF Emitter Localization
Presenter(s): Huthaifa A Alissa
Advisor(s): Raul E Ordonez
Electrical and Computer Engineering - Graduate Research
Wireless Sensor Networks (WSNs) are being used in a variety of ways from reconnaissance and detection in military to biomedical applications
and a wide variety of commercial endeavors. In recent years, position based services have become more important. Thus, recent developments
in communications and RF technology have enabledsystem concept formulations and designs for low-cost radar systems using state-of-the-art
software radio modules. This research focuses on a multi-platform RF emitter localization technique denoted as Position-Adaptive RF Direction
Finding (PADF). PADF is based on the formulation and investigation of path-loss based RF scattering metrics (i.e., estimation of distributed Path
Loss Exponent, or PLE) that are measured and estimated across multiple platforms in order to enable the robotic/intelligent position-adaptation
(or self-adjustment) of the location of each platform. Experiments conducted at the Air-Force Research laboratory (AFRL) indicate that this position-adaptive
approach exhibits potential for accurate emitter localization in challenging embedded multi-path environments such as in urban
environments. In this study we use IRIS wireless sensor nodes. In order to localize the transmitter, we use the Received Signal Strength Indicator
(RSSI) data to approximate distance from the transmitter to the revolving receivers. We provide an algorithm for online estimation of the Path Loss
Exponent (PLE) that is used in modeling the distance based on Received Signal Strength (RSS) measurements. The emitter position estimation is
calculated based on surrounding sensors RSS values using Least-Square Estimation (LSE). PADF configuration concepts are developed for purposes
of investigating potential refinements in consistency, sensitivity, and robustness via the design and implementation of four stationary sensors as
receivers and one hidden sensor as a transmitter during the localization phase.
Real Time Path Planning of Industrial Robots in an Unknown Environment Using Vision
Presenter(s): Hariharan Ananthanarayanan
Advisor(s): Raul E Ordonez
Electrical and Computer Engineering - Graduate Research
Industrial manipulators are machines that perform pre-programmed tasks with great accuracy and speed. The addition of intelligence through
sensory perceptions would make them highly flexible in terms of performance and application. The objective of this research is to improve the
performance of a six-degree of freedom industrial manipulator by introducing vision feedback and by using the data to generate its path in real
time. This would enable the robot to generate its own path and alter it dynamically, based on the visual feedback. This technique will be finally
used to catch a ball or pick a ball rolling on the floor. One of the industrial applications could be robotic recycling where a robot is required to pick
up different objects from a moving conveyor.
X-band Miniaturized Coplanar Waveguide Band-pass filter with Coupled Resonator
Presenter(s): Chenhao Zhang
Advisor(s): Guru Subramanyam
Electrical and Computer Engineering - Graduate Research
Band-pass filter is the basic component in microwave/RF integrated circuit. It plays the extremelyimportant role in communication systems such
as wireless, radar and GPS navigation systems. Thisproject develops a passive narrowband band-pass filter which works in X-band spectrum
(8GHz-12GHz).The filter is fabricated on a 400µm thickness sapphire substrate with a 0.25µm thickness BST thin filmdeposited using a large
area pulsed laser deposition system. Compared with traditional microstripfilters, it has miniaturized dimensions and good frequency tunability.
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