Schedule
2:00-2:30 Signal Characteristics on Sensor Data Compression in IoT
An Investigation, Tulika Bose (Tata Consultancy Services), Soma Bandyopadhyay (Tata Consultancy Services), Sudhir Kumar (TCS Innovation Lab Kolkata), Abhijan Bhattacharyya (Tata Consultancy Services), Arpan Pal (Tata Consultancy Services)
2:30-3:00 Automating Analytics: How to learn metadata such that our buildings can learn from us (invited)
Joern Ploennigs (IBM Research)
3:00-3:30 A connected devices testbed for insight generation in support of UK industry (invited)
Katharina Reusch (IBM Research), David Moss (IBM/STFC), Geeth de Mel (IBM Research)
3:30 - 4:00 Break
4:00-4:30 Image Analysis for Identifying Mosquito Breeding Grounds
Maanit Mehra (Columbia University), Aditya Bagri (Columbia University), Jorge Ortiz (IBM Research), Xiaofan Jiang (Columbia University)
4:30-5:15 Panel - Peculiarities of Physical Data Analytics
Important dates
Abstract Registration: April 11th, 2016
Submission deadline: April 18th, 2016
Notification of acceptance: April 25th, 2016
Camera Ready: May 11th, 2016
Program: June 1st, 2016
Accepted papers will be published on IEEE Xplore
Scope
The internet of things (IoT) is becoming an increasingly important area of research. The ubiquity of interconnected sensors embedded in the physical world continues to grow; enriching the sensing fabric overlay that has the potential to increase our understanding of the interaction between people and their environments. This is transforming various industries including building energy management and maintenance, industrial sector applications, connected cars, and healthcare. We are also seeing it in our homes through smart thermostats and smart appliances. Smart phones are more ubiquitous than ever and most new smart phones come with at least half a dozen sensors, providing information of the surrounding environment. Data acquired using IoT devices will be massive in quantity, but to unlock its value the data needs to be processed and analyzed in reliable and useful ways. This presents researchers with the opportunity to explore how all the available data can be merged to get a holistic, time-varying understanding of the world like never before.
Fundamental challenges remain. For example, we are seeing a growing use of cheap sensors transmitting physical readings over lossy links and stacks, often involving layers of transmission before reaching a data store for analysis. The readings are noisy, missing, often uncalibrated, and temporally and spatially unaligned. Moreover, the combination of modeling and data presents a family of new challenges as well. In order to fulfill the potential of the internet of things we must explore ways to handle this complexity.
Topics covered in the workshop:
- Physical models and data assimilation
- Calibration
- Spatiotemporal alignment techniques
- Systems for merging models and data
- Feature extraction for simplified model representation
- Online/Offline analysis
- Mobile systems and applications
- Security and trust
- Testbed to test new techniques
- Tools: software, cloud analytics
- Sensor data triage / reduction of dimensionality
- Distributed computing for data analysis
- Latency-critical problems
- Measuring/assessing data reliability
- Applications
Submission Instructions
Prospective authors are invited to submit original technical paper by the deadline at the top of the call. Submissions will be accepted through EDAS (https://edas.info/N22293). All submissions must be written in English and be at most six (6) printed pages in length, including figures.
TPC Co-Chairs
Zoran KOSTIC, Columbia University, NYC, USA
Jorge ORTIZ, IBM Resarch, USA