Program
13:15 - 13:20: Opening remarks
13:20 - 14:15: Keynote
On the Information Quality of Energy-Harvesting-Based Sensing in Motion-Powered IoTs
Prof. Mahbub Hassan
University of New South WalesAbstract: To prolong battery life or achieve complete power autonomy, some IoT sensors are using motion energy harvesting technology that can convert any form of motion or vibration into usable electricity. With machine learning, we were able to turn the motion energy harvesting patterns into usable intelligence, such as detecting human behaviour when human motion is harvested by wearable IoTs, recognizing voice commands when energy is harvested from acoustic vibrations, authenticating users from unique motion energy patterns of human gait, or even decoding data transmitted through modulated sound. This talk will discuss the information quality we could achieve for such energy-harvesting-based sensing and some of the challenges and opportunities for improving it.
14:20 - 15:00: Session 1
- Giannis Tzouros, Vana Kalogeraki, "Efficient Scheduling of Multiple Data Transfers in Mobile Applications"- Duc V. Le, Jacob Kamminga, Hans Scholten, Paul Havinga, "A Framework to Measure Reliance of Acoustic Latency on Smartphone Status"
15:00 - 15:30: Coffe break
15:30 - 16:30: Session 2
- Mohamed Elshenawy, Mohamed El-Darieby, Baher Abdulhai, "Automatic Imputation of Missing Highway Traffic Volume Data"- Fausto Giunchiglia, Mattia Zeni, Enrico Bignotti, "Personal Context Recognition via Reliable Human-Machine Collaboration"
- Alireza Hassani, Alexey Medvedev, Arkady Zaslavsky, Pari Delir Haghighi, Prem Prakash Jayaraman, Maria indrawan-Santiago, Sea Ling, "Context-as-a-Service Platform Exchange and Share Context in an IoT Ecosystem"
16:30 - 17:30: Panel Discussion
Topic: Information Quality in People-Centric Sensing: Why is it Important?
Moderator: Salil Kanhere, University of New South WalesPanelists:
Flora Salim, RMIT University
Vana Kalogeraki, Athens University of Economics and Business
Sajal Das, Missouri S & T