Towards Practical Indoor Localization and Large Scale Battery System Management
Tuesday, March 11, 2014 - 8:45am - 9:45am
KEC 1007
Jason Gu
Assistant Professor
Singapore University of Technology and Design
Abstract:
Location-based services such as targeted advertisement, geo-social networking
and emergency services, are becoming increasingly popular for mobile
applications. While on-board sensors on the smartphones such as GPS are able to
provide accurate outdoor locations, accurate indoor localization schemes now
still require either additional infrastructure support (e.g., ranging devices)
or extensive training before system deployment (e.g., WIFI signal
fingerprinting). In this talk, I will talk about our latest work that uses
wireless access point sequence as a new metric for fingerprinting-based indoor
localization systems. This metric is resilient to time varying WIFI signal
changes, heterogeneous devices and dynamic power control of wireless access
points, while is able to achieve very good system performance. Based on this
metric, we designed the first signal-fingerprinting indoor localization system
that is able to automatically construct the finger-print map and completely eli!
minate the heavy training.
Another topic I will cover in this talk is large-scale battery management.
Large-scale batteries have been widely adopted in applications such as electric
vehicles and energy storage in power grids. While the improvement of the
battery energy density is relatively slow in the past decade, in this talk, I
will discuss how the exploration of battery cell reconfigurations at
large-scale battery systems can benefit from real-time dynamic controls for
both discharging and charging processes. The experimental results with
commercial battery cells on our customized testbed, as well as EV-trace driven
emulations demonstrate significantly improved energy efficiency of our proposed
designs.
Finally, I'll briefly talk about the convergence of mobile device energy
management and battery energy management, and how battery-aware energy
management can help prolong the mobile device lifetimes in realistic
environments.
Biography:
Dr. Yu (Jason) Gu is currently an Assistant Professor at Singapore University of Technology and Design. He also holds a joint appointment as a research scientist at Advanced Digital Sciences Center, University of Illinois, Urbana-Champaign. He was also a visiting assistant professor at Massachusetts Institute of Technology for a year in 2011. He received his PhD from the University of Minnesota, Twin Cities in 2010. Currently his research spans cyber-physical systems, mobile computing, wireless networks, RFID systems, energy networks and network system securities, with over 12 million Singapore Dollars funding support from various government agencies and industrial partners.
Dr. Gu is the author and co-author of over 70 peer-reviewed papers in premier
journals and conferences in his fields, with the best paper/demo awards from
IEEE WCNC'13, IEEE/ACM IPSN'12 (runner-up), MSN'11 and ACM SenSys'10
(runner-up), as well as spotlight papers in IEEE TMC and IEEE TPDS. His
publications have been selected as graduate-level course and seminar materials
by over 20 major research universities in the United States and other
countries. He is the recipient of NSF/IEEE-TCPP Curriculum Initiative on
Parallel and Distributed Computing Early Adopter Award in 2012 and IBM Smarter
Planet Faculty Innovation Award, 2012. Dr. Gu is a member of IEEE, IEEE ComSoc
and ACM.
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