Tutorial 1: Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces.
Tutorial 2: Processing Big Data with Open Source Platform Hadoop
For online Registration click here
Tutorial 1
Topic: Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces.
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Date and time: 15th December 2 PM - 6 PM
Tutors: Dr. Salil Kanhere School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia.
Abstract The recent wave of sensor-rich, Internet-enabled, smart mobile devices such as the Apple iPhone has opened the door for a novel paradigm for monitoring the urban landscape known as participatory sensing. Using this paradigm, ordinary citizens can collect multi-modal data streams from the surrounding environment using their mobile devices and share the same using existing communication infrastructure (e.g., 3G service or WiFi access points). Mobile phones, though not built specifically for sensing, can in fact be used as sensors. The mobile phone camera can be used as a video and image sensor. The microphone on the mobile phone, when not being used for voice conversations, can be doubled up as an acoustic sensor. The embedded GPS receiver can provide location information. Further, other embedded sensors such as gyroscopes, accelerometers and proximity sensors can collectively be used to estimate useful contextual information (e.g., is the user walking or travelling on a bicycle). The data contributed from multiple participants can be combined to build a spatiotemporal view of the phenomenon of interest and also to extract important community statistics. Given the ubiquity of mobile phones and the high density of people in metropolitan areas, participatory sensing can achieve an unprecedented level of coverage in both space and time for observing events of interest in urban spaces. Several exciting participatory sensing applications have emerged in recent years. For example, GPS traces uploaded by drivers and passengers can be used to generate real- time traffic statistics. Similarly, street-level audio samples collected by pedestrians can be aggregated to create a citywide noise map. This revolutionary paradigm is also being used to collect and share data about air pollution, cyclist experiences, diet and pricing information of consumer goods.
Presentation Content
• Overview and
motivation of the new paradigm of
participatory sensing
• A summary of new exciting
applications
• A detailed discussion on the key
research challenges in participatory
sensing
including: (i) participatory sensing
architectures (ii) incentive
mechanisms,
(iii) trustworthiness and privacy,
(iv) dealing with insufficient
samples, (v)
activity and context inference (vi)
system design issues (vii)
experimentation
and large-scale data collection.
• Conclusions and future directions
Biographies of tutor:
Dr. Salil
Kanhere received his M.S.
and Ph.D. degrees, both in
Electrical
Engineering from Drexel University,
Philadelphia in 2001 and 2003,
respectively. He is currently a
Senior Lecturer in the School of
Computer Science and Engineering at
the University of New South Wales in
Sydney, Australia. His current
research interests include
participatory sensing, vehicular
communication and wireless mesh and
sensor networks. He has published
over 70 peer-reviewed articles on
these research topics. He has served
on the organizing committee of a
number of IEEE and ACM international
conferences (e.g,, ACM SenSys,
IEEE LCN, ACM MSWiM, IEEE SenseApp, ACM
IWCMC, ISSNIP). He was invited to
participate in a panel discussion on
participatory sensing at COMSNETS 2010 and
also served as an expert witness on
participatory sensing in an Australian
Senate hearing in Melbourne in 2009. He
currently serves as the Area Editor for the
ICST Journal on Ubiquitous Environments.
Tutorial 2
Topic: Processing Big Data with Open Source Platform Hadoop
Date and time: 16th December 2PM - 6PM
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Tutors:
-
Basant Verma: Grid Solutions Lead, Grid Solutions, Yahoo!
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Viraj Bhat: Grid Engineer, Grid Solutions, Yahoo Sunnyvale
-
Amar Kamat: Hadoop Engineer, Hadoop Engineering
Abstract Apache Hadoop has become the platform of choice for developing large-scale data-intensive applications. In this tutorial, we will discuss Hadoop concepts, how to develop scalable applications to crunch several terabytes of data using Hadoop and higher-level frameworks such as Pig/Hive. We will also discuss design patterns and solutions to common problems encountered in achieving optimal performance from Hadoop application.
Biographies of tutor:
Basant Verma is leading
Grid Solutions team at Yahoo Bangalore,
where he is working with Yahoo users in
building Hadoop/Pig based data-intensive
applications running on Yahoo! Grids.
Viraj Bhat is employed
with Yahoo! Sunnyvale as a Senior Grid
engineer, where he works on building,
porting and parallelizing several
data-intensive applications on Yahoo! Grids
based on Hadoop (Map Reduce Programming
Paradigm). He built Hadoop Vaidya, a
performance diagnostic tool for Map/Reduce
jobs. He also works on various open source
projects such as Pig & Hive for analyzing
large datasets.
Amar Kamat is working as
part of Hadoop core Engineering group at
Bangalore. He has worked in the development
of Hadoop M/R framework. Currently he is
working on Hadoop performance and
Benchmarking framework
How to Register for Tutorial:
For online Registration click here
Registration fee (per participant):
-
For Students: One tutorial: INR 400, Two tutorials: INR 600.
-
For Industry: One tutorial: INR 700, Two tutorials: INR 1000.
Please fill up the tutorial form
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out of station cheque). With the above
registration fee, you can attend same day’s all
the key notes (organizers will make the
conference key note time and tutorial non-over
lapping). If you want to attend other two days
of full conference or workshops also, then
please see the registration fee of conference on
the registration page (as Attendee). The
conference authors who have already registered
can attend the tutorial without paying any extra
amount (however, you have to inform on following
address for better management of resources).
Last date for
registration: 14th Dec 2010
Postal Address to send filled form and draft/cheque:
To,
IMSAA-10,
C/O Tutorial Co-Chair,
IIIT-Bangalore, Electronic City, Hosur Road,
Bangalore – 560100, Karnataka, India.
Email: imsaa2010@iiitb.org
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