Inkjet‐/3D‐Printed Paper/Polymer‐Based "Green" RFID and Wireless Sensor Nodes: The Final Step to Bridge Cognitive Intelligence Tentzeris, Manos M. In this talk, inkjet-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g.LCP) substrates are introduced as a system-level solution for ultra-low-cost mass production of UHF Radio Frequency Identification (RFID) Tags and Wireless Sensor Nodes (WSN) in an approach that could be easily extended to other microwave and wireless applications. The talk will cover examples from UHF up to the millimeter-wave frequency ranges. A compact inkjet-printed UHF "passive-RFID" antenna using the classic T-match approach and designed to match IC's complex impedance, is presented as a the first demonstrating prototype for this technology. Then, Prof. Tentzeris will briefly touch up the state-of-the-art area of fully-integrated wireless sensor modules on paper or flexible LCP and show the first ever 20 sensor integration with an RFID tag module on paper, as well as numerous 30 multilayer paper-based and LCP-based RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced cognitive intelligence and "rugged" packaging. Prof. Tentzeris will discuss issues concerning the power sources of "near-perpetual" RF modules, including flexible minaturized batteries as well as power-scavenging approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from wearable (e.g. biomonitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g.CNT) sensors on paper and organic substrates. It has to be noted that the talk will review and present challenges for inkjet-printed organic active and nonlinear devices as well as future directions in the area of environmentally-friendly ("green") RF electronics and "smart-skin' conformal sensors. Presented on January 12, 2016 at 12:00 p.m. in room 1116-1118 of the Marcus Nanotechnology Building on the Georgia Tech campus.; Manos M. Tentzeris received the Diploma (magna cum laude) degree in electrical and computer engineering from the National Technical University of Athens and the M.S. and Ph.D. degrees in electrical engineering and computer science from the University of Michigan. He has helped develop academic programs in highly integrated/multilayer packaging for RF and wire- less applications using ceramic and organic flexible materials, paper-based RFIDs and sensors, biosensors, wearable electronics, inkjet-printed electronics, green electronics and power scavenging, nanotechnology applications in RF, microwave MEM's, and SOP-integrated (UWB, multiband, millimeter wave, and conformal) antennas, and heads the ATHENA Research Group. He has been a Visiting Professor at the Technical University of Munich, GTRl-lreland, and LAAS-CNRS in Toulouse, France. He has served as the Head of the GT-ECE Electromagnetics Technical Interest Group, as the Georgia Electronic Design Center Associate Director for RF ID/Sensors Research, and as the Georgia Tech NSF-Packaging Research Center Associate Director for RF Research and the RF Alliance Leader. He is currently a Professor with the School of ECE at Georgia Tech. He has given more than 100 invited talks to various universities and companies all over the world and has published more than 580 papers in refereed journals and conference proceedings, five books, and 21 book chapters. He is the recipient of numerous awards, most recently the 2015 IET Microwaves, Antennas and Propagation Premium Award and the 2014 Georgia Tech ECE Distinguished Faculty Achievement Award.; Runtime: 53:29 minutes
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Home » Theses online » Inkjet‐/3D‐Printed Paper/Polymer‐Based "Green" RFID and Wireless Sensor Nodes: The Final Step to Bridge Cognitive Intelligence
jeudi 14 janvier 2016
Inkjet‐/3D‐Printed Paper/Polymer‐Based "Green" RFID and Wireless Sensor Nodes: The Final Step to Bridge Cognitive Intelligence
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