CTS Events
SEMINAR
November 14, 2012

Dr. Nebiyou Tilahun, UPP, presents a seminar entitled "An agent based model of origin destination estimation (ADOBE)" Wednesday, November 14th at 4:00 pm in Rm 1127 SEO

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SEMINAR
November 7, 2012

Mr. Thomas Murtha, CMAP, will address the CTS-IGERT community at 4:00 p.m. in Room 1127 SEO.

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SEMINAR
October 24, 2012

Please join us in welcoming Dr. Bo Zou, CME, on Wednesday, October 24th, Room 1127 SEO, 4:00 p.m.

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CTS Happenings
September 25, 2012

Award Received by Joshua Auld, CTS-IGERT alumnus.

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April 20, 2012

Congratulations to James Biagioni, CTS Fellow and CS PhD candidate, winner of the Dean's Scholar award.

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January 2, 2012

James Biagioni, CTS Fellow, receives "Best Presentation Award" at SenSys2011

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July 30, 2010

Dr. Ouri Wolfson, Dr. Phillip Yu, and Leon Stenneth, CS student and CTS Associate, recently had a paper accepted to the 6th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2010).

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June 3, 2011

Leon Stenneth, CTS-IGERT Associate, PhD Candidate, Department of Computer Science and Engineering, will discuss the publication entitled "Using Mobile Phones to Determine Transportation Modes".

Friday, June 3, 2011
2:30 p.m.
Room 1000 SEO

Citation: ACM Transactions on Sensor Networks, Vol. 6, No. 2, Article 13, Publication date: February 2010.

Summary of paper:
As mobile phones advance in functionality and capability, they are being used for more than just communication. Increasingly, these devices are being employed as instruments for introspection into habits and situations of individuals and communities. Many of the applications enabled by this new use of mobile phones rely on contextual information. The focus of this work is on one dimension of context, the transportation mode of an individual when outside. The transportation modes identified include whether an individual is stationary, walking, running, biking, or in motorized transport. The overall classification system consists of a decision tree followed by a first-order discrete Hidden Markov Model and achieves an accuracy level of 93.6% when tested on a dataset obtained from sixteen individuals. The sensors used are GPS and acclerometer.

Biography:
Leon Stenneth is a third year PhD, CS student working under the supervision of Professor Ouri Wolfson and Professor Philip Yu. His research entails privacy aware location based services and context aware computing. Leonís most recent research project is determining transportation mode from mobile device's sensors, this motivates the reason for presenting this ACM journal entry.