Microwave Applied Metrology Research Group

Transcription

1 /8/ Nine Great Years at Baylor and Only Four Different Lab Locations Microwave Applied Metrology Research Group... on our way to the BRIC! BRIC Gallery Public Meeting Area BRIC Space Allocation Plan Electrical Engineering Second Floor, East Lab Faculty Member Research Lab Focus Dwg # Jean, Randall Microwave Metrology 9. Duren, Russell Avionics Lab 9. Baylis, Charles Microwave Active Circuits Lab 9. 4 Li, Yang Antennas and Wireless Propagation Lab Marks, Robert Computational Intelligence Applications Lab Thompson, Mike Applied Telecommunications and DSP Lab Hu, Jonathan Photonics Research Lab 9. Second Floor, East BRIC Space Allocation Plan Electrical Engineering 8 9 Microwave Sensing Fundamentals Complex permittivity describes energy storage and energy loss due to impressed electric fields.,,,, T, P ' j " Lab Faculty Member Research Lab Focus Dwg # 8 Grady, Mack Renewable Energy and 5. Grid Security Lab 9 Gravagne, Ian Distributed Power Systems Lab 5.5 Lee, Kwang Power & Energy Lab 5.9 Song, Ben Power Electronics Lab.L Dong, L./Eisenbarth, S. Cyber Physical Systems Lab.M ε' jε

2 /8/ For me it started on the moon..... but my early academic career focused on the earth... but I somehow wound and other interesting places up in a hamburger plant... with my collection of tools. Today I inflict microwaves on poor graduate students. The changing faces of through the years -4 The changing faces of through the years The faculty of today - -

3 /8/ Key Factors for Success in Microwave Applied Metrology Understanding of Material Properties Creative Exploitation of Measurement Geometry Robust Algorithms for Extracting Information from the Measurement Data Low Cost Implementation of the Measurement System Time Domain VNA Development Guided Microwave Spectrometer measurement comparison Time Domain VNA Development Automatic Calorie Counter Transit Time Tomography

4 /8/ W/CM Ratio in Fresh Concrete Varying Moisture Data Set for Paste, Mortar and Concrete Typical Artificial Neural Network Structure Properly Trained ANN Performance Input Nodes Hidden Layer PC PC Hidden Layer PC Output Layer PC N N 8 W/CM Value PC N PC N N N 9 Wave Propagation in Forests (Dr. Yang Li) Recent Interests in Ground Sensors nato/pics/sensornetwork.jpg Wireless sensor networks for scientific and military applications (e.g. forest fire detection). Measurement campaigns: Joshi et al., 5; Buhl and Rogers, 8; Meng et al., 9. For near-ground, short-distance communication in the forest, the propagation mechanisms are more complex. 4 4

5 /8/ Mode Strength Transmission Loss-Magnitude (Li et al., 8) z L y Low passband: Surface wave z=l 6MHz, E z Distance (m) Simulation Measurement z L y High passband: Leaky wave z=l MHz, E z.5.5 y (m) Frequency (MHz) Frequency (MHz) Passband/stopband behaviors are clearly observed. Boundaries of passband/stopband correpsond to quarter-wave wire resonance at 8MHz plasmonic cut-off frequency at 6MHz 6-75 Mid-IR Supercontinuum Generation (Dr. Jonathan Hu) Nanophotonic Biosensor (Dr. Hu) Supercontinuum generation Nonlinearity Dispersion E Au f Optical fiber f Au Silicon nm Au SiO Au Au Silicon nm Scanning Electronic Microscope (SEM) Laser Spectrum analyzer Use nanotechnology to build biosensor Generate light with wide spectrum for gas sensing Hu, et al., Opt. Express 8, 67 (). 7 Photonics Research Laboratory Li, Ding, Hu, and Chou, Opt. Express 9, 95 () 8 Photonics Research Laboratory General Tire Becomes the BRIC 5