Eighth International Conference onIntelligent Sensors, Sensor Networks and Information ProcessingIEEE ISSNIP 2013
April 2-5, 2013
The Langham, Melbourne, Australia

Advance Program

Tuesday, 2 April 201308:30 am 05:00 pm

09:00 am 10:30 am

10:30 am 11:00 am
11:00 am 12:35 pm
12:35 pm01:30 pm

01:30 pm 03:00 pm

03:00 pm 03:30 pm
03:30 pm 05:00 pm

05:00 pm

Registration – Podium Secretariat
Tutorial 1A: Data Stream Mining for Sensor
Networks with Applications for Smart Water
Systems
A/Prof. Shonali Krishnaswamy
Monash University, AustraliaandProf. Rachel Cardell-Oliver
The University of Western Australia, Australia

Tutorial 1B: Every Picture Tells A Story:
Visual Approaches to Cluster Analysis
Prof. Jim Bezdek
University of Melbourne, Australia

Clarendon Ball Room A

Clarendon Ball Room C

Morning Tea – Pre-Function Area, Podium Level
Tutorial 1A continued

Tutorial 1B continued

Clarendon Ball Room A

Clarendon Ball Room C

Lunch – Pre-Function Area, Podium Level
Tutorial 2A: Particle Filters for Random Set
ModelsDr. Branko Ristic
DSTO, Australia

Tutorial 2B: Sense-T – An Economy-wide
Sensor Network
Dr. Greg Timms
CSIRO, Australia

Clarendon Ball Room A

Clarendon Ball Room C

Afternoon Tea – Pre-Function Area, Podium Level
Tutorial 2A continued

Tutorial 2B continued

Clarendon Ball Room A

Clarendon Ball Room C

Welcome cocktail(Full registrations and Invited guests only, please collect your ticket at the registration desk)
Swanston rooms, The Langham

17

Wednesday, 3 April 201308:30 am 05:00 pm

09:00 am 09:30 am

09:30 am 10:30 am

Registration – Podium Secretariat
Conference Opening
Opening Address: Prof. M. Palaniswami and Prof. V. Lumelsky
Clarendon Ball Room A
Plenary 1: Two Models for Anomaly Detection in Wireless Sensor Networks, with
Applications to Environmental Monitoring
Speaker: Prof. Jim Bezdek
University of Melbourne, Australia
Clarendon Ball Room A and B

10:30 am 11:00 am

11:00 am 11:45 am

11:45 am 12:45 pm

Morning Tea – Pre-Function Area, Podium Level
Invited Talk 1A: In Situ
Structural Health Monitoringof Australian Defence Force
AircraftSpeaker: Dr. Steve Galea
DSTO, Australia

Invited Talk 1B: HumanRobot Interaction andWhole-Body Robot Sensing
Speaker: Prof. Vladimir
Lumelsky
University of WisconsinMadison, USA

Invited Talk 1C: From Data
to Decision Making: Sensor
Information Processing
Speaker: Dr. Ziyuan Wang
IBM Research, Australia

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room C

Session 1A: Optical Sensors(3 papers)

Session 1B: WSN
Applications (3 Papers)

Session 1C: Information
Processing 1 (3 papers)

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room C

12:45 pm 01:30 pm

Lunch – Pre-Function Area, Podium Level
Plenary 2: Wireless Structural Health Monitoring
Speaker: Prof. Paul Havinga
University of Twente, Netherlands

01:30 pm 02:30 pm

Clarendon Ball Room A and B

02:30 pm 03:30 pm

Session 2A: Sensor Fusion
and Tracking 1 (3 Papers)

Session 2B: Localisation andClock Synchronisation(3 Papers)

Session 2C: Information
Processing 2 (3 papers)

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room C

03:30 pm 04:00 pm

04:00 pm 05:20 pm

Afternoon Tea – Pre-Function Area, Podium Level
Session 3A: Special Session
on Sensors and Sensor
Networks for Smart
Structures and Structural
Health Monitoring(3 papers)

Session 3B: WSN Security
and Programming (4 Papers)

Session 3C: Information
Processing 3 (4 papers)

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room C

18

Thursday, 4 April 201308:45 am 05:00 pm

Registration – Podium Secretariat
Plenary 3: Finding Needles in Haystacks
Speaker: Prof. Hugh Durrant-Whyte
NICTA, Australia

09:00 am 10:00 am

Clarendon Ball Room A and B
10:00 am 10:30 am

10:30 am 11:15 am

11:15 am 12:35 pm

Morning Tea – Pre-Function Area, Podium Level
Invited Talk 2A: Extended
Global Supply Chain
Identification Framework
Speaker: Prof. John Mo
RMIT, Australia

Invited Talk 2B: Towards
Continental-Scale Trackingof Flying Foxes
Speaker: Dr. Raja Jurdak
CSIRO, Australia

Invited Talk 2C: Technology
is the Answer. But What is
the Question?
Speaker: Andrew Wisdom
Distilled Wisdom, Australia

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room C

Session 4A: RFID Workshop
1 (4 papers)

Session 4B: WSN Energy
Efficiency (4 Papers)

Session 4C: Information
Processing 4 (4 papers)

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room C

12:35 pm 01:30 pm

Lunch – Pre-Function Area, Podium Level
Plenary 4: Smart Secure Infrastructure
Speaker: Prof. Jay Guo
CSIRO, Australia

01:30 pm 02:30 pm

Clarendon Ball Room A and B
Session 5A: RFID Workshop
2 (3 papers)

Session 5B: Special Session
on Internet of Things for
Smart Cities (3 Papers)

Session 5C: Special Session
on Biomedical Sensors andPoint of Care Devices for
Health Monitoring (3 papers)

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room A

02:30 pm 03:30 pm

03:30 pm 04:00 pm
03:30 pm 05:30 pm

Afternoon Tea – Pre-Function Area, Podium Level
Poster Session (22 Posters, Work in progress posters)
Clarendon Ball Room B
Conference Dinner(Full registrations and Invited guests only, please collect your ticket at the registration desk)

07.00 pm 10.00 pm

Awards for Best Paper, Best Student Paper
Alto, Level 25, The Langham

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Friday, 5 April 201308:30 am 05:00 pm

09:00 am 10:00 am

Registration – Podium Secretariat
Plenary 5: Lensfree On-Chip Microscopy and Tomography Toward Telemedicine
Applications
Speaker: Prof. Aydogan Ozcan
University of California, Los Angeles, USA
Clarendon Ball Room A and B

10:00 am 10:30 am

10:30 am 11:15 am

11:15 am 12:35 pm

Morning Tea – Pre-Function Area, Podium Level
Invited Talk 3A: Intelligent
Optical Fibre Based
Perimeter Security Systems
Speaker: Dr. Jim Katsifolis
Future Fibre Technologies,
Australia

Invited Talk 3B: ThreeDimensional Thin Film Liion Batteries for
Miniaturized Power Sources
Speaker: Prof. Menachem
NathanTel Aviv University, Israel

Invited Talk 3C: Connecting
Government-Centric
Applications Through a
Unified Sensing and SenseMaking Architecture
Speaker: Dr. Hwee-Pink Tan
Institute for Infocomm
Research (I²R), A*STAR,
Singapore

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room C

Session 6B: WSN
Communication and
Networking Protocols (4Papers)Session 6C: Information
Processing 5 (4 papers)

Clarendon Ball Room A

Clarendon Ball Room C

Session 6A: Intelligent
Sensors - MEMS (4 Papers)
Yarra Room

12:35 pm 01:30 pm

01:30 pm 02:30 pm

Lunch – Pre-Function Area, Podium Level
Plenary 6: From Poor Multi-Binary Sensors to Rich Environmental Sensing
Speaker: Prof. Paulo de Souza
University of Tasmania, Australia
Clarendon Ball Room A and B

02:30 pm 03:30 pm

03:30 pm 04:00 pm

04:00 pm 05:00 pm

Session 7A:
Sensor Fusion and Tracking
2 (3 Papers)

Session 7B: WSN Coverage
and Storage (3 Papers)

Session 7C: Information
Processing 6 (3 papers)

Yarra Room

Clarendon Ball Room A

Clarendon Ball Room C

Afternoon Tea – Pre-Function Area, Podium Level
Concluding Plenary: Large Scale Anomaly Detection in Video Streams
Speaker: Prof. Svetha Venkatesh
Deakin University, Australia
Concluding Remarks
Clarendon Ball Room A and B

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2nd April, 2013 – Tuesday

8.30 am - 5:00 pm: Registration

9.00am-10.30am
11am-12:35 pm
Session name: Tutorial 1A: Data Stream Mining for Sensor Networks with Applications for Smart Water
Systems
Speakers: A/Prof. Shonali Krishnaswamy, Monash University, Australia, and Prof. Rachel Cardell-Oliver,
University of Western Australia, Australia
Data Stream Mining for Sensor Networks with Applications for Smart Water Systems
During the last decade many sensor networks have been deployed to gather fine-grained, spatial-temporal
data. Application domains include agriculture, health care, transport and urban monitoring. The benefits ofcollecting large volumes of data with a sensor network are, however, only fully realised when that data istransformed into meaningful information for decision support. In particular, when interesting patterns canbe discovered in the data, data mining research provides innovative data processing techniques fordiscovering patterns in large data sets, such as those generated by sensor networks.
This tutorial will provide an introduction to the main data mining techniques that are applicable to sensor
network data sets. The tutorial will provide a practical introduction to the subject, with hands-on exercises
using state of the art data mining software. A case study on smart metering in urban water systems will be
used to highlight some of the real-world challenges in this research area.
Bio: A/Prof. Shonali Krishnaswamy is currently on a leave of absence from Monash University and is theHead, Data Analytics Department at the Institute for Infocomm Research (I2R), Singapore. Shonali holds acontinuing/tenured appointment as an Associate Professor in the Faculty of Information Technology at
Monash University. Prior to this Shonali was a Senior Lecturer (2006 - 2009) and an Australian ResearchCouncil (ARC) Australian Post Doctoral (APD) Fellow (2003-2005) at Monash University.
She was the Director of the Centre for Distributed Systems and Software Engineering which is one of the fiveresearch centres in the Faculty of IT from (2010-2011). She was the Higher Degrees by Research Coordinator(2009 - 2010) for the Caulfield School of IT. Shonali holds a PhD (Computer Science, 2003) and Master ofComputing (1998) from Monash University, a Bachelor Science (Computer Science, 1996) from the Universityof Madras, India, and a Graduate Certificate in Higher Education (2006) from Monash University. Shonali hasrecieved the following awards/fellowships since commencing her academic career in 2003.
Bio: Prof. Rachel Cardell-Oliver is a Professor in the School of Computer Science and Software Engineering at
the University of Western Australia. She has a PhD in protocol verification from the University of Cambridge,
UK, and a Masters on distributed systems from UWA. Her research interests include designing and building
wireless sensor networks, low-power long-distance radio communication, sensor network query languages
and protocols, formal methods for distributed systems, software engineering, software testing and computerscience education. The research on end-to-end reliability presented in this tutorial is in collaboration withProfessor Christof Huebner at the Mannheim University of Applied Sciences, supported by the AustraliaGermany Joint Research Co-operation Scheme.

9.00am-10.30am
11am-12:35 pm
Session name: Tutorial 1 B: Every Picture Tells a Story: Visual Approaches to Cluster Analysis
Speaker: Prof. Jim Bezdek, University of Melbourne, Australia
Every Picture Tells a Story: Visual Approaches to Cluster Analysis
Cluster analysis is the art and science of making computers discover clusters in numerical data. I begin with a
discussion of the differences between the human and computer points of view about clusters. Definitions andexamples of the three canonical problems of cluster analysis: tendency assessment, clustering, and cluster
validity. Notation and basic structure of the computational problem.

21

Next I give a short history of visual approaches for the canonical problems of clustering. The use of manuallydrawn images began in 1873. I will trace the role of computers in the evolution of reordered dissimilarity
images (aka "cluster heat maps") for visual clustering.
Definitions and examples of the VAT (visual assessment of tendency), recursive, improved (iVAT) andasymmetric VAT/iVAT (asiVAT) approaches for building a reordered dissimilarity image from relational data.
The resultant images often (but not always) provide good visual evidence for clusters in the data, and more
importantly, they provide estimates of how many clusters to look for. Examples are drawn from psychology,
eldercare monitoring, social network analysis, and network security (role-based access control).
The scalable VAT (sVAT) model and algorithm are developed for visual approaches to very large ("big") data.
Extensions of VAT/iVAT/asiVAT for arbitrarily large square data are based on a simple minimax sampling
scheme. Applications include estimates of structure in big Gaussian mixtures and large image data.
The last topic deals with estimates of cluster structure in rectangular relational data. This is a basic concern
in the field of co-clustering (aka "bi-clustering"). Two versions of coVAT and their extension to scalable coVAT
for arbitrarily large rectangular data are developed. All of these rectangular models can be used with
VAT/iVAT/asiVAT, and they all provide estimates of the number of probable clusters for each of the fourclustering problems associated with rectangular data. We illustrate this idea with an example of gene
regulation from bioinformatics.
Bio: Jim received the PhD in Applied Mathematics from Cornell University in 1973. Jim is past president of
NAFIPS (North American Fuzzy Information Processing Society), IFSA (International Fuzzy Systems
Association) and the IEEE CIS (Computational Intelligence Society): founding editor the Int'l. Jo. Approximate
Reasoning and the IEEE Transactions on Fuzzy Systems: Life fellow of the IEEE and IFSA; and a recipient of
the IEEE 3rd Millennium, IEEE CIS Fuzzy Systems Pioneer, and IEEE technical field award Rosenblatt medals.
Jim's interests: woodworking, optimization, motorcycles, pattern recognition, cigars, clustering in very large
data, fishing, co-clustering, blues music, wireless sensor networks, poker and visual clustering. Jim retired in
2007, and will be coming to a university near you soon.

10.30am- 11.00am: Coffee Break
12.35pm-1.30pm: Lunch

1.30pm-3.00pm
3.30pm-5.00pm
Session name: Tutorial 2A: Particle Filters for Random Set Models
Speaker: Dr. Branko Ristic, DSTO, Australia
Particle Filters for Random Set Models
The tutorial presents a hands-on engineering approach to sequential Bayesian state estimation of stochastic
dynamic systems using random set models. Over the last decade, particle filters have become one of theessential tools for stochastic nonlinear non-Gaussian filtering. Practical application ranges from navigation
and autonomous vehicles to bioinformatics and finance. While particle filters have been around for almost
two decades, the recent theoretical developments of sequential Bayesian estimation, in the framework of
random set theory, have provided new opportunities which are not widely known. The tutorial is devoted to a
new generation of particle filters, applicable to a wider class of signal processing applications. The theoreticalconcepts and the performance of developed particle filters are illustrated by practical application which
includes: calibration of multi-target systems, prediction of the spread of an epidemic, processing spatiallyreferring natural language statements, and video tracking of pedestrians.
Bio: Dr. Branko Ristic received all degrees in electrical engineering: Ph.D. (QUT, 1995), M.Sc. (Belgrade
University, 1991), and B. Eng. (University of Novi, 1984). Dr Ristic held various research/engineering positions
in former Yugoslavia (until 1989) and Australia before joining the Australian Defence Science and Technology
Organisation (DSTO) in 1996, where he stayed until present. During 2003/04 he spent a year in IRIDIA(Universite libre de Bruxelles, Belgium). Since 2006 he is an Honorary Fellow of The University of Melbourne.
His research interests include nonlinear filtering, target tracking, sensor fusion and reasoning under
uncertainty, with a particular emphasis on defence and security applications. He published over 60 journals
and 100 conference papers, and was a recepient of the best-paper award on a few occasions. He co-authored22

a bestseller Beyond the Kalman filter (Artech House, 2004) and was the Chair of the Fourth Australian Data
Fusion Symposium in 2007. In 2009 he was awarded a DSTO Fellowship.

1.30pm-3.00pm
3.30pm-5.00pm
Session name: Tutorial 2B: Sense-T – An Economy-wide Sensor Network
Speaker: Dr. Greg Timms, CSIRO, Australia
Sense-T – An Economy-wide Sensor Network
Sense-T is a world-leading economy-wide intelligent sensor network that integrates different data sources
across the whole of Tasmania. It is a partnership between the University of Tasmania, CSIRO, the Tasmanian
Government and IBM and offers the opportunity to test new approaches to address global challenges that canthen be scaled in a cost effective manner elsewhere. Research dollars go further by using Sense-T's core
infrastructure and data.
Sense-T will aggregate historical, spatial and real-time sensor data and make this available via an application
platform for an array of information and services. Application programming interfaces (APIs) will be
published to make it easy to develop applications using Sense-T's core infrastructure.
Initial projects have started in food and agriculture production optimisation through collecting real-time
information about weather, environmental factors, soil moisture, animal health and inputs (fertilisers,
irrigation, chemicals) on farms. This will be combined using data analytics to create a range of decision
support systems for farmers designed to optimise production and reduce environmental impact (dairy, beef,
viticulture & fruit, aquaculture) as well as for regulators to ensure high levels of food safety whilst optimisingproduction (oysters).
In this tutorial, we will investigate the Sense-T Program in detail and look at the opportunities it provides forgovernment, industry and research.
Bio: Greg Timms received the B.Sc. (Hons) and Ph.D. degrees in physics from the University of Sydney,
Australia, in 1993 and 1997 respectively. In 1997, he joined the Australian Nuclear Science and Technology
Organisation where he spent five years investigating the environmental impacts of mining, focusing on thephysical transport of reactants and pollutants within mine wastes.
Since 2002, Greg has been with the Commonwealth Scientific and Industrial Research Organisation (CSIRO),
initially engaged in research on microwave communication networks and then leading a team whichdeveloped a novel 190 GHz millimetre-wave imager in 2006. For the past six years Greg has been based at theIntelligent Sensing and Systems Lab (ISSL) at CSIRO's Hobart site, where he has been part of a teamdeveloping low-cost sensor network and information system technologies for deployment in marine andterrestrial environments. Greg's particular interest is in techniques for automated quality control of real-timestreaming data. He is the Deputy Research Director of ISSL and co-ordinates the Sense-T activities across
CSIRO.

3.00pm- 3.30pm: Coffee Break
5.00pm: Program Closes
5:00pm: Welcome Cocktail(Full registrations and Invited guests only, please collect your ticket at the registration desk)23

3rd April, 2013 – Wednesday

8.30 am - 5:00 pm: Registration

9.00am-9.30am
Session name: IEEE ISSNIP 2013 Conference Opening
Opening Address: Prof. Marimuthu Palaniswami and Prof. Vladimir Lumelsky
9.30am-10.30am
Session name: Plenary 1: Two Models for Anomaly Detection in Wireless Sensor Networks, with
Applications to Environmental Monitoring
Speaker: Prof. Jim Bezdek, University of Melbourne, Australia
Two Models for Anomaly Detection in Wireless Sensor Networks, with Applications to Environmental
Monitoring
This talk summarizes two elliptical models for anomaly detection in wireless sensor networks: ESAD, a model
for static analysis; and IDCAD, a model for dynamic streaming analysis. These models were developed in thecontext of anomaly detection in sensor networks, but they should generalize well to detection of unusual
events in other application domains.
The basic architecture of the ESAD model: (i) convert collected data to elliptical summaries at each node; (ii)build a dissimilarity matrix on pairs of ellipses; (iii) reorder the matrix to reveal cluster structure by visualinspection of an image of the data; (iv) cluster the matrix with single linkage using the information from (iii)
as a guide; (v) hold your breath and hope for the best. We will explain steps (i)-(iv) today. Step (v) is optional.
The IDCAD model also depends on elliptical geometry, but in a much different way. Chains of ellipses arebuilt as the data streams in, and the transition distance between successive pairs of ellipses plays the keyrole in change detection. Numerical examples include real data from the IBRL network, the Great Barrier Reef
Ocean Observation System, and two networks of weather stations at the Grand St. Bernard pass and in Le
Genepi, Switzerland.
Bio: Jim received the PhD in Applied Mathematics from Cornell University in 1973. Jim is past president of
NAFIPS (North American Fuzzy Information Processing Society), IFSA (International Fuzzy Systems
Association) and the IEEE CIS (Computational Intelligence Society): founding editor the Int'l. Jo. Approximate
Reasoning and the IEEE Transactions on Fuzzy Systems: Life fellow of the IEEE and IFSA; and a recipient of
the IEEE 3rd Millennium, IEEE CIS Fuzzy Systems Pioneer, and IEEE technical field award Rosenblatt medals.
Jim's interests: woodworking, optimization, motorcycles, pattern recognition, cigars, clustering in very large
data, fishing, co-clustering, blues music, wireless sensor networks, poker and visual clustering. Jim retired in
2007, and will be coming to a university near you soon.

10.30am- 11.00am: Coffee Break24

11.00am-11.45am
Session name: Invited Talk 1A: In Situ Structural Health Monitoring of Australian Defence Force Aircraft
Speaker: Dr. Steve Galea, DSTO, Australia
In Situ Structural Health Monitoring of Australian Defence Force Aircraft
The Australian Defence Science and Technology Organisation (DSTO) has a program of work aimed atdeveloping a suite of in-situ structural health monitoring (SHM) systems for retro-fitment to existing
Australian Defence Force (ADF) aircraft. The approach is to develop systems that will fit seamlessly into
existing aircraft structural integrity management programs. The technologies range from rapid operationalloads measurement (ROLM) system, to a broad area, low transducer density damage-diagnostic approach
using acousto-ultrasonics (AU) and finally thermoelastic stress analysis (TSA) for damage diagnostics andprognostics. The ROLM approach allows the operator to rapidly attach and remove strain sensors on theaircraft to provide the manager with operational load measurement, when required. The AU approach uses
guided elastic waves produced by a fixed source, typically a piezoceramic element, and sensed at a separate
receiving location where variations from the baseline response are used to identify damage within the wave
path. The TSA approach uses remote IR detectors within the structure to measure operational loads, locate
structural 'hot spots', monitoring crack growth and evaluate stress intensity factors. The goal of this paper isto provide an overview of the activities within DSTO for the development, validation and implementation ofthese SHM approaches for the ADF.
Bio: Dr. Steve Galea graduated in 1980 with a B.E. (Mech) from the University of Queensland with first classhonours and in 1983, he received a M. Eng. Sc. He commenced employment with the Aeronautical ResearchLaboratory in 1983. In 1985 he commenced studies at the Institute of Sound and Vibration Research,
University of Southampton, UK and received his Ph. D. from the University of Southampton in 1989. Dr Galea
is currently a Principal Research Scientist and Functional Head of the Smart Structures and Advanced
Diagnostics Group within Air Vehicles Division in DSTO. His current responsibilities involve the managementof research and providing technical leadership on the development and application of smart materials andstructures technologies to aircraft structures, including in-situ structural health monitoring and selfpowering techniques. He has an extensive publication record of over 90 publications, which include threebook chapters on smart structures and repairs to acoustically-fatigue structures. Dr Galea is a member of the
Editorial Board on the International Journal of Structural Health Monitoring and is the section editor of the
Aerospace Applications section in the Encyclopaedia of Structural Health Monitoring.

11.00am-11.45am
Session name: Invited Talk 1B: Human-Robot Interaction and Whole-Body Robot Sensing
Speaker: Prof. Vladimir Lumelsky, University of Wisconsin-Madison, USA.
Human-Robot Interaction and Whole-Body Robot Sensing
Applications that have a need in robots operating in an uncertain environment, and/or require close humanrobot interaction, are in great demand. Examples include robots preparing the Mars surface for humanarrival; robots for assembly of large space telescopes; robot helpers for the elderly; robotic search anddisposal of war mines. Advances in this area, while impressive, are also slow to appear. Difficulties are
multiple, both on the robotics and on human side: robots have hard time adjusting in unstructured tasks,
while human cognition has serious limits in manipulating 3D motion. As a result, applications where robots
operate near humans - or far away from them - are exceedingly rare. The way out of this impasse is to supply
the robot with a whole-body sensing, plus related intelligence - an ability to sense surrounding objects at the
robot's whole body and utilize this data in real time. This calls for large-area flexible arrays - sensitive skincovering the whole robot body. Whole-body sensing brings interesting, even unexpected, properties: robots
become inherently safe; human operators can move them fast, with "natural" speeds; resulting robot motion
strategies exceed human spatial reasoning skills; natural synergy of human-robot teams becomes realistic; amix of supervised and unsupervised operation becomes possible. We will review the algorithmic, cognitive
science, hardware (materials, electronics, computing), and control issues involved in realizing such systems.
Bio: Dr. Lumelsky is Professor Emeritus in University of Wisconsin-Madison. His Ph.D. in Applied Math is fromthe Institute of Control Sciences, Russian National Academy of Sciences, Moscow. He has held research andfaculty positions with Ford Motor Research Labs, General Electric Research Center, Yale University, UWMadison, University of Maryland, NASA-Goddard Space Center. Concurrently he held visiting positions with
the Tokyo institute of Science, Japan; Weizmann Institute, Israel; USA National Science Foundation; USAAntarctica South Pole Station; NASA.

25

He has served on Editorial Boards of IEEE Transactions on Robotics and Automation, IEEE Sensors Journal (asFounding Editor-in-Chief), and other journals; on governing bodies and committees of IEEE (including IEEE
Fellow Committee), IEEE Robotics and Automation Society, IEEE Sensors Council (currently as President);
served as chair and co-chair of major international conferences, and guest editor for special journal issues.
He has served as consultant to NSF, DARPA, European Commission, and as a litigation technical witness(expert) in court cases. He has authored over 200 publications (books, journal papers, conferences, reports);
is IEEE Life Fellow, and member of ACM and SME.

11.00am-11.45am
Session name: Invited Talk 1C: From Data to Decision Making: Sensor Information Processing
Speaker: Dr. Ziyuan Wang, IBM Research, Australia
From Data to Decision Making: Sensor Information Processing
Recently we have witnessed a proliferation of sensor network technologies and sensing applications, posing a
number of challenges to process sensed information to reach meaningful outcomes. This talk covers the way
we envision information processing based on streams from diverse sources including sensors feeding it intoa network of models and making it available to decision makers. Some of the example systems to aid theinformation processing and decision making are Sense-T, VINE (the Victorian Information Network for
Emergencies), fine grained weather forecasting, fire and flood modelling and evacuation planning. Sense-T, acollaborative project between UTAS, CSIRO and IBM research, aims to integrate data from different sources,
manage real-time and historical data, and make it available to the community through user-friendly
applications. This talk provides a general view on information processing from acquisition over using a
network of models to processing the data all the way to visualising it for best cognitive context of thedecision maker. Beyond Sesne-T, IBM research-Australia is using the same core technology to work with theVictorian Fire commissioner and the Victorian Information Network for Emergencies. These efforts are within
the broad umbrella of systems of systems. Later part of the talk will cover a few representative projects fromthe systems of systems initiatives.
Bio: Dr. Ziyuan Wang is a research scientist at IBM research Australia. Her work focuses on Smarter Cities
initiative, in particular on intelligent transportation systems, sensor data management, and natural disastermanagement. Before joining IBM, Ziyuan worked for CSIRO Marine and Atmospheric Research division, where
she was involved in environmental modelling, remote sensing data management, and scientific workflows.
Ziyuan obtained a PhD in Computer Science from the University of Melbourne, specialising on on proactive
traffic control strategies for sensor-enabled cars. She has published in reputed international journals andconferences.
She serves as a PC member and reviewer for a few conferences, as well as holds editorial board membershipin the International Journal of Internet and Distributed Computing Systems.

26

Parallel Session 1
Session Name: 1A - Optical Sensors (3 papers)

12:05pm-12:25pm
Experiences with Occupancy Based Building
Management Systems
Nipun Batra (IIIT-Delhi, India); Pandarasamy
Arjunan (IIIT-Delhi, India); Amarjeet Singh (IIITDelhi, India); Pushpendra Singh (IIIT-Delhi, India)

11:45am-12:05pm
Experimental Multi-Parameter Sensing by Two
Types of SMS-FBG
Baoyong Li (Harbin Engineering University, China);
Shuo Fang (Harbin Engineering University, China);
Yanan Liu (Harbin Engineering University, China);
Dawei Song (Harbin Engineering University, China);
Jiangzhong Zhang (Harbin Engineering University,
China); Gangding Peng (University of New South
Wales, Australia); Weimin Sun (Harbin Engineering
University, China); Libo Yuan (Harbin Engineering
University, China)

12:25pm-12:45pm
Discovering Water Use Activities for Smart
Metering
Rachel Cardell-Oliver (University of Western
Australia, Australia)

12:05pm-12:25pm
Regenerated Gratings for High Temperature
Environments: T, strain and Breaking Point
Analysis
Tao Wang (University of Sydney, Australia); LiYang Shao (University of Sydney, Australia); John
Canning (University of Sydney, Australia); Kevin
Cook (University of Sydney, Australia)

Session Name: 1C - Information Processing 1 (3papers)
11:45am-12:05pm
Scalable Single Linkage Hierarchical Clustering
For Big Data
Timothy C. Havens (Michigan Technological
University, USA); James C. Bezdek (University of
Melbourne, Australia); Marimuthu Palaniswami(University of Melbourne, Australia)

12:25pm-12:45pm
Birefringence Imaging for Optical Sensing of
Tissue Damage
Lixin Chin (University of Western Australia,
Australia); Xiaojie Yang (University of Western
Australia, Australia); Robert A. McLaughlin(University of Western Australia, Australia); Peter
B. Noble (University of Western Australia,
Australia); David D. Sampson (University ofWestern Australia, Australia)

12:05pm-12:25pm
Person-Independent Facial Expression
Recognition via Hierarchical Classification
Mingliang Xue (Curtin University, Australia);
Wanquan Liu (Curtin University, Australia); Ling Li(Curtin University, Australia)
12:25pm-12:45pm
Combined Multiclass Classification and Anomaly
Detection in Large-Scale Wireless Sensor
Networks
Alistair
Shilton(UniversityofMelbourne,
Australia); Sutharshan Rajasegarar (University of
Melbourne, Australia)

Session Name: 1B – WSN Applications (3 papers)
11:45am-12:05pm
TrigSense: Accelerometer Triggered Audiosensing for Traffic Condition Monitoring
Rohan Banerjee (Tata Consultancy Services, India);
Aniruddha Sinha (Tata Consultancy Services, India)

12.45pm-1.30pm: Lunch

27

1.30pm-2.30pm
Session name: Plenary 2: Wireless Structural Health Monitoring
Speaker: Prof. Paul Havinga, University of Twente, Netherlands
Wireless Structural Health Monitoring
Vibration is a daily occurrence in a wide range of machinery used in industries such as manufacturing,aerospace, petro-chemical and building and construction. One of the major problems of vibration is that it
causes wear and tear which in many instances can lead to equipment or structural failure. Similarly,
structural health monitoring of buildings, bridges, tunnels and other structures is estimating the state ofstructural health, or detecting the changes in structure that influence its performance. To prevent failures, it
is essential to not only monitor vibration and stress levels but also to try and understand the underlying
causes.
Wireless sensor networks enable dense in-situ sensing and simplify deployment of instrumentation. This
presentation will give a general overview of some of the most important requirements dictated by reliable
structural health monitoring applications most of wireless sensor networks have to comply with. Then main
characteristics of wireless sensor networks used are discussed including network topology and architectures,
real-time restrictions, reliability, power consumption, and life-time issues. Some of the deployment issues andsolutions are illustrated by examples of a wireless sensor/actuator network for structural health monitoring
developed within the European projects Clam, Wibrate and Genesi.
Bio: Prof. Paul J.M. Havinga is full professor and chair of the Pervasive Systems research group at theComputer Science department at the University of Twente in the Netherlands. He received his PhD at the
University of Twente on the thesis entitled "Mobile Multimedia Systems" in 2000, and was awarded with the'DOW Dissertation Energy Award' for this work.
His research themes have focused on wireless sensor networks, large-scale distributed systems, and energyefficient wireless communication. The common theme in these areas is on the development of large-scale,
heterogeneous, wireless, distributed systems. Research questions cover architectures, protocols,
programming paradigms, algorithms, and applications. This research has resulted in many scientificpublications in journals and conferences. He is programme leader of the Graduate Research programme'Wireless and Sensor Systems' at the University of Twente, and scientific leader of the ICT Innovation
Platform Sensor Networks.
He has a significant experience as project manager in several international research projects on wirelesssensor networks. In 2001 he initiated the first European project on wireless sensor networks EYES, and manynational and international projects evolved from this. In 2004 he founded the company Ambient Systems
B.V., partly based on the results of that project. In May 2007 he received the ICT Innovation Award for the
successful transfer of knowledge from university to industrial use. In June 2007 he received the "van den
Kroonenberg award" for being a successful innovative entrepreneur. In 2008 he co-founded the company
Inertia Technology that develops activity recognition solutions with body area networks, based on completely
wireless inertial sensing systems.

28

Parallel Session 2
Session Name: 2A - Sensor Fusion and Tracking
1 (3 Papers)

Node Deployment Strategy for WSN-based NodeSequence Localization Considering Specific Paths
Chun-Chieh Hsiao (Lunghwa University of Science& Technology, Taiwan); Yi-Jhong Tsai (Lunghwa
University of Science & Technology, Taiwan); WenDian Zheng (Lunghwa University of Science &Technology, Taiwan)

2:30pm-2:50pm
Dual-band Modified Complementary Split Ring
Resonator (MCSRR) Based Multiresonator Circuit
for Chipless RFID Tag
Md. Shakil Bhuiyan (Monash University, Australia);
A.K.M. Azad (Monash University, Australia); Nemai
Chandra Karmakar (Monash University, Australia)

3:10pm-3:30pm
Embracing Localization Inaccuracy: A Case Study
Usman Raza (FBK, Italy); Amy L. Murphy (FBK,
Italy); Gian Pietro Picco (Università di Trento, Italy)

2:50pm-3:10pm
Tracking a Coordinated Group Using Expectation
Maximisation
Roslyn A. Lau (DSTO, Australia); Jason L. Williams(DSTO, Australia)

Session Name: 2C - Information Processing 2 (3papers)3:10pm-3:30pm
Study on Estimation of Peak Ground Reaction
Forces using Tibial Accelerations in Running
Edgar Charry (dorsaVi Pty. Ltd., Australia);
Wenzheng Hu (dorsaVi Pty. Ltd., Australia);
Muhammad Umer (dorsaVi Pty. Ltd., Australia);
Andrew Ronchi (dorsaVi Pty. Ltd., Australia);
Simon
Taylor(Victoria
University,
Australia)

2:30pm-2:50pm
Dealing with Missing Sensor Values in Predicting
Shellfish Farm Closure
Ashfaqur Rahman (CSIRO, Australia); Claire D'Este(CSIRO, Australia); Greg Timms (CSIRO, Australia)
2:50pm-3:10pm
Multiple Classifier System for AutomatedQuality Assessment of Marine Sensor Data
Ashfaqur Rahman (CSIRO, Australia); Daniel V.
Smith (CSIRO, Australia); Greg Timms (CSIRO,
Australia)

Session Name: 2B - Localisation and Clock
Synchronisation (3 Papers)
2:30pm-2:50pm
Distributed
Data
Acquisition
Unit
with
Microsecond-Accurate
Wireless
Clock
Synchronisation
PhilipCadell(Queensland
UniversityofTechnology, Australia); Ben Upcroft (Queensland
University of Technology, Australia)

3:10pm-3:30pm
Wireless
Sensing
Platformfor
RemoteMonitoring and Control of Wine Fermentation
Damith C. Ranasinghe (University of Adelaide,
Australia); Nickolas J.G. Falkner (University of
Adelaide, Australia); Chao Pan (University of
Adelaide, Australia); Hao Wu (University of
Adelaide, Australia)

2:50pm-3:10pm

3.30pm- 4.00pm: Coffee Break29

Parallel Session 3
Session Name: 3A - Special Session on Sensors
and Sensor Networks for Smart Structures andStructural Health Monitoring (3 Papers)

Ashay Dua (Portland State University, USA);
Nirupama Bulusu (Portland State University, USA)
5:00pm-5:20pm
IP-Enabled Smart Sensor and Actuator Node forAmbient Intelligence Systems
Kevin I-Kai Wang (University of Auckland, New
Zealand); Zoran Salcic (University of Auckland,
New Zealand); Udayanto Dwi Atmojo (University of
Auckland, New Zealand); Bhaskar Pediredla(University
ofAuckland,New
Zealand);Mohammad Hadi (University of Auckland, New
Zealand); Cyrus Daji (University of Auckland, New
Zealand)

4:00pm-4:20pm
Estimation of Strain of Distorted FBG Sensor
Spectra Using a Fixed FBGfilter Circuit and an
Artificial Neural Network
Gayan C. Kahandawa (University of Southern
Queensland, Australia); Jayantha Epaarachchi(University of Southern Queensland, Australia);
K.T. Lau (Hong Kong Polytechnic University,
China); John Canning (University of Sydney,
Australia)
4:20pm-4:40pm
Energy Harvesting from Heavy Haul Railcar
Vibrations
Chandarin Ung (Monash University, Australia);
Scott D. Moss (DSTO, Australia); Luke A.
Vandewater (DSTO, Australia); Steve C. Galea(DSTO, Australia); Wing K. Chiu (Monash
University, Australia); Greg Crew (Monash
University, Australia)

Session Name: 3C - Information Processing 3 (4papers)
4:00pm-4:20pm
A Novel Detection Approach Using Bio-Inspired
Vision for Enhanced Object Tracking in Video
James A. Dowley (University of South Australia,
Australia); Kutluyıl Doğançay (University of South
Australia, Australia); Russell S.A. Brinkworth(University of South Australia, Australia)

4:40pm-5:00pm
A Distributed Sensing Capability for in situ
Time-Domain Separation of Lamb Waves
Nik Rajic (DSTO, Australia); Cédric Rosalie (DSTO,
Australia); Claire Davis (DSTO, Australia); Patrick
Norman (DSTO, Australia)

4:20pm-4:40pm
Autonomous Detection of Different Walking
Tasks Using End Point Foot trajectory Vertical
Displacement Data
Braveena K. Santhiranayagam (Victoria University,
Australia); Daniel T.H. Lai (Victoria University,
Australia);
Alistair
Shilton(UniversityofMelbourne, Australia); Rezaul Begg (Victoria
University, Australia); Marimuthu Palaniswami(University of Melbourne, Australia)

Session Name: 3B - WSN Security andProgramming (3 Papers)
4:00pm-4:20pm
Privacy-Preserving
Data
AggregationinParticipatory Sensing Networks
Sarah M. Erfani (University of Melbourne,
Australia); Shanika Karunasekera (University of
Melbourne,
Australia);
Christopher
Leckie(University of Melbourne, Australia); Udaya
Parampalli (University of Melbourne, Australia)

4:40pm-5:00pm
Evaluation of Incentives for Body Area Networkbased HealthCare Systems
Siavash Aflaki (University of Twente, The
Netherlands); Nirvana Meratnia (University ofTwente,The
Netherlands);
Mitra
Baratchi(University of Twente, The Netherlands); Paul J.M.
Havinga (University of Twente, The Netherlands)

4:20pm-4:40pm
Concealing the Complexity of Node
Programming in Wireless Sensor Networks
Sebastian Bader (Mid Sweden University, Sweden);
Bengt Oelmann (Mid Sweden University, Sweden)
4:40pm-5:00pm
Resource-Aware
Broadcast
Encryption
Selective-Sharing in Mobile Social Sensing

5:00pm-5:20pm
Low-Power Appliance Monitoring Using Factorial
Hidden Markov Models
Ahmed Zoha (University of Surrey, UK); Alexander
Gluhak (University of Surrey, UK); Michele Nati
(University of Surrey, UK); Muhammad Ali Imran(University of Surrey, UK)for

5.20pm: Program Closes

30

4th April, 2013 – Thursday

8.45 am - 5:00 pm: Registration

9.00am-10.00am
Session name: Plenary 3: Finding Needles in Haystacks
Speaker: Prof. Hugh Durrant-Whyte, NICTA, Australia
Finding Needles in Haystacks
Australia is capturing and building a large number of massive data sets describing the natural environment.
These range from continent-wide geological and geochemical data acquired from a growing range of
geophysical sensing campaigns to terrestrial and marine environment data captured from a variety ofplatforms as part of the NCRIS national infrastructure programs.
Managing and extracting value from these massive environmental data sets is a defining challenge in
information technology which has the opportunity to bring about a transformational change to the way weunderstand, manage and steward our world. Addressing this challenge will require major coordinatedadvances in three key areas: Information Assimilation, Feature Discovery and Distributed Computation. This
talk will describe NICTA's work in this area with reference to a number of projects in the geological andenvironmental sensing arena.
Bio: Prof. Hugh Durrant-Whyte is the CEO of National ICT Australia (NICTA). He was previously Professor of
Mechatronic Engineering at University of Sydney, an ARC Federation Fellow, Director of the ARC Centre of
Excellence for Autonomous Systems and of the Australian Centre for Field Robotics (ACFR). He has publishedover 350 research papers and founded four successful start-up companies. He has won numerous awards andprizes for his work, including the 2009 ATSE Clunes Ross Award. He is a Fellow of the Academy ofTechnological Sciences and Engineering (FTSE), of the IEEE (FIEEE), of the Australian Academy of Science(FAA), and the Royal Society (FRS). He was named the 2008 Professional Engineer of the Year by the Instituteof Engineers Australia Sydney Division and the 2010 NSW Scientist of the Year.

10.00am- 10.30am: Coffee Break
10.30am-11.15am
Session name: Invited Talk 2A: Extended Global Supply Chain Identification Framework
Speaker: Prof. John Mo, RMIT, Australia
Extended Global Supply Chain Identification Framework
Supply chain information infrastructure has been largely built on the basis of proprietory IT systems using
static identification technology such as barcode. The need to identify items individually for the purposes of
security, loss reduction in recall, maintenance and upgrades has demanded the use of Radio Frequency
Identification (RFID) technology. However, since the re-emergence of the technology in the last decade, theuptake of this technology is fragmented. Some large organisations such as Walmart, airports, global logistics
companies use RFID as the tracking mechanisam. Small to medium enterprises (SME) in the supply chain do
not have the same resources as large multinational corporations are often left without the required interface
and connectivity, hence the information link is broken, leading to inefficiency and inaccuracy within the
supply chain. This paper reviews the developments of RFID applications in industry in recent years. Based on
the review, a new global supply chain identification framework is proposed to enable open access via
Application Program Interface (API) interfaces. The open identification framework integrates identification
information from different technologies including RFID, GPS, etc using the concept of collaboration services
to key stakeholders. The aim is to provide a seamless tracking system across different parts of the supply
chain with varying levels of IT technological capabilities. The open platform is also the basis for future
deployment of new technologies that are independent of the existing physical infrastructure within existing
supply chains.

31

Bio: Prof. John Mo obtained his PhD from Loughborough University in Manufacturing Engineering. He iscurrently Discipline Head of Manufacturing and Materials Engineering at RMIT University. His group covers
areas in manufacturing, materials science, sustainable systems, supply chain, mechatronics, autonomous
systems. Prior to joining RMIT, John is Team Leader in the Division of Manufacturing and Infrastructure
Technology, CSIRO, Australia. In the 11 years in CSIRO, he led several large scale international projects
involving multi-disciplinary teams in the development of advanced manufacturing systems and theintegration of manufacturing and supply chain.

10.30am-11.15am
Session name: Invited Talk 2B: Towards Continental-Scale Tracking of Flying Foxes
Speaker: Dr. Raja Jurdak, CSIRO, Australia
Towards Continental-Scale Tracking of Flying Foxes
Long-term outdoor localisation with battery-powered devices remains an unsolved challenge, mainly due tothe high energy consumption of GPS modules. The use of inertial sensors and short-range radio can reducereliance on GPS to prolong the operational lifetime of tracking devices, but they only provide coarse-grained
control over GPS activity. An alternative yet promising approach is to use context-sensitive mobility models
to guide scheduling and sampling decisions in localisation algorithms. In this talk, I will present our work
towards continental-scale long-term tracking of flying foxes, as part of the National Flying Fox Monitoring
Program, using a model-driven approach. At the core of our approach is the multimodal GPS-enabled
Camazotz sensor node platform that has been designed at CSIRO for flying fox collars, with a cumulative
weight of below 30g. The talk will cover our recent experience with trialling these platforms in the field on
live flying foxes to collect multimodal sensor data for developing models of their mobility. I will also discuss
the road ahead for designing adaptive model-driven algorithms for energy-efficient localisation
Bio: Dr. Raja Jurdak is a Principal Research Scientist and leads the Pervasive Computing Group at CSIRO ICTCentre. He received the B.E. degree from the American University of Beirut in 2000, and the MSc and Ph.D.
degrees from the University of California Irvine in 2001 and 2005 respectively. He also holds and Adjunct
Associate Professor position at the University of Queensland.
He has over 60 peer-reviewed journal and conference papers, as well as a book published by Springer titled:"Wireless Ad Hoc and Sensor Networks: A Cross-layer Design Perspective". He received the CSIRO Medal for
Environmental Achievement in 2011, and has won the Endeavour Executive Award in the same year. His
current research interests are around mobile sensor networks.

10.30am-11.15am
Session name: Invited Talk 2C: Technology is the Answer. But what is the Question?
Speaker: Andrew Wisdom, Distilled Wisdom, Australia
Technology is the Answer. But what is the Question?
In 1966, visionary British architect Cedric Price captured the topsy-turvy nature of technological change withthe title of this presentation, yet this apparently nonsensical observation reflects the risk that innovation in
any field – technological no less than any other – in the absence of a sense of purpose risks aimlessness andirrelevance.
Technology has always been both an idea and a thing. Technology shapes how we live now; the unfetteredpromise of what technology can deliver also shapes our conception of how we can live in the future. Throughhistory, cities and ways of living have been shaped by technology; and change in our physical environment
and the way we interact with it has been shaped by technological change. Since electricity was firstreticulated through cities, it has not only fomented change, but has invited people to dream of what could bedone with it. This impulse carries on today. The idea of sensors and what we might do with them drives us tothink how we might do things differently and better.
“Better” is a loaded word: what exactly does better mean? And, importantly, how should this inform ourresearch agendas? Embedded in this appropriately technical programme, I will invite you to reflect on what
technology is for, why we innovate and what you can do about it.
Bio: Andrew Wisdom is an urban strategist who identifies unconventional ways to address urban challenges.
He is an insightful thinker and motivating speaker on urban issues. Andrew maintains his own practice,32

having worked for global consultants Arup for a number of years and in a number of cities around the world.
A civil engineer and transport planner by training, he has spent many years addressing the various physical,
operational, organisational and behavioural dimensions of city operations and development.
Andrew is a member of the editorial board for the ARRB journal and is a regular contributor to online
magazine UBM Future Cities.

Parallel Session 4
Session Name: 4A - RFID Workshop 1 (4 papers)
11:15am-11:35am
An Active Source Validation Scheme Based on
Path Identifier
Lin Chen (National University of Defense
Technology, China); Ming He (National Universityof Defense Technology, China)

11:55am-12:15pm
AnInteractive
Context-Aware
Power
Management Technique for Optimizing Sensor
Network Lifetime
Jinseok Yang (University of California at San
Diego, USA); Sameer Tilak (University of California
at San Diego, USA); Tajana S. Rosing (University ofCalifornia at San Diego, USA)11:35am-11:55am
Traffic Aware Fuzzy-Tuned Delay Range for
Wireless Body Area Networks Medium AccessControl Protocol (MAC)
Nesa Mouzehkesh (Charles Sturt University,
Australia); Tanveer Zia (Charles Sturt University,
Australia);
Saman
Shafigh(CharlesSturt
University, Australia)

12:15pm-12:35pm
An Energy Efficient Image Compression andTransmission in Wireless Sensor Networks
Duc Minh Pham (University of South Australia,
Australia); Syed Mahfuzul Aziz (University ofSouth Australia, Australia)

11:55am-12:15pm
Wireless Accelerometer Sensor Data Filtering
Using Recursive Least Squares Adaptive Filter
Saman
Shafigh(CharlesSturt
University,
Australia); Tanveer Zia (Charles Sturt University,
Australia); Nesa Mouzehkesh (Charles Sturt
University, Australia)

Session Name: 4C - Information Processing 4 (4papers)11:15am-11:35am
Frequency Estimation for 3D Atmospheric
Tomography Using Unmanned Aerial Vehicles
Kevin J. Rogers (University of South Australia,
Australia); Anthony Finn (University of South
Australia, Australia)

12:15pm-12:35pm
Framework and Authentication Protocols for
Smartphone,
NFC,
and
RFID
in
RetailTransactions
Pascal Urien (Télécom ParisTech, France); Selwyn
Piramuthu (University of Florida, USA)11:35am-11:55am
A Coordinate-Free, Decentralized Algorithm for
Monitoring Events Occurring to Peaks in a
Dynamic Scalar Field
Myeong-Hun Jeong (University of Melbourne,
Australia);
Matt
Duckham(UniversityofMelbourne, Australia)

Session Name: 4B - WSN Energy Efficiency (4Papers)11:15am-11:35am
Improving Fountain Codes for Short Message
Lengths by Adding Memory
Xiaohan Wang (University of Canterbury, New
Zealand); Andreas Willig (University of Canterbury,
New Zealand); Graeme Woodward (University ofCanterbury, New Zealand)

11:55am-12:15pm
Finding Frequently Visited Paths: Dealing with
the Uncertainty of Spatio-Temporal Mobility
Data
Mitra Baratchi (University of Twente, The
Netherlands); Nirvana Meratnia (University ofTwente, The Netherlands); Paul J.M. Havinga(University of Twente, The Netherlands)

11:35am-11:55am
A Reliable and Energy-Efficient Chain-Cluster
Based Routing Protocol for Wireless Sensor
Networks
Zahra Taghikhaki (University of Twente, The
Netherlands); Nirvana Meratnia (University ofTwente, The Netherlands); Paul J.M. Havinga(University of Twente, The Netherlands)

12:15pm-12:35pm
K-Coverage in Regular Deterministic Sensor
Deployments
ParvinAsadzadeh
Birjandi(UniversityofMelbourne, Australia); Lars Kulik (University of
Melbourne, Australia); Egemen Tanin (University of
Melbourne, Australia)3312.35pm-1.30pm: Lunch

1.30pm-2.30pm
Session name: Plenary 4: Smart Secure Infrastructure
Speaker: Prof. Jay Guo, CSIRO, Australia
Smart Secure Infrastructure
Bio: Prof. Yingjie Jay Guo is an internationally recognised R&D leader with proven track record, a wellestablished scientist with over 250 publications and expertise in antennas and wireless communications
systems, and an innovator with strong industrial impact. He is the recipient of Australia Government
Engineering Innovation Award (2012), Australia Engineering Excellence Award (2007) and CSIRO Chairman's
Medal (2007 & 2012). Jay has over twenty years of international industrial and academic experience acrossthree continents. Currently, he is the Leader of the Smart and Secure Infrastructure research theme in CSIRO's
Digital Productivity and Services National Flagship, Australia, and the Director of Australia China ResearchCentre for Wireless Communications. He is responsible for CSIRO’s strategic planning, direction setting andthe delivery of programs and projects in the fields of broadband and wireless communications systems andnetworks, broadband services, smart homes and community, cloud computing and cyber security. Until
January 2010, Jay served as the Director of the Wireless Technologies Laboratory in CSIRO ICT Centre. Under
his leadership, the team has made significant achievements in science, technology and commercialisation andwon numerous international, national and CSIRO top awards. Their major technology breakthroughs include
the award-winning world-first 6Gbits/s millimetre-wave system, the most spectrally efficient 600Mbits/s
multiple input and multiple output (MIMO) technology, reconfigurable antennas and wide-band array, and thedevelopment of a world-leading platform for wireless positioning.
In his role as a theme leader, Jay created the high profile Ngara program within his portfolio, and led it to agreat success. In 2009, the program was rewarded $10M additional funding. In 2012, the team delivered aground breaking 10Gbps Ngara microwave backhaul, and the most spectrally efficient multi-user MIMO (MUMIMO) system. It won the most prestigious CSIRO Chairman's Medal, Australia Engineering Innovation Award,
and two Engineering Excellence Awards. The technology generated is currently being commercialised toindustry. Other cutting edge projects Jay is working on include super-sensitive receivers using hightemperature super-conducting devices and E-band adaptive antenna arrays.
In March 2009, Jay established the Australia China Research Centre for Wireless Communications. This is acollaboration led by CSIRO and Beijing University of Posts and Telecommunications (BUPT), and funded by
the Australian Department of Innovation, Industry, Science and Research (DIISR) and the Chinese Ministry of
Science and Technology (MOST). In November 2009, he initiated the Australia China ICT Summit as Executive
Chair.
Prior to joining CSIRO in August 2005, Jay held a number of senior postions in the European mobile
communications industry. Between 2000 and 2005, he served as the Manager of Strategic Planning andManager of System Strategy, respectively, at Mobisphere Ltd, a Siemens and NEC joint venture for thedevelopment of the third generation (3G) mobile communications infrastructure. He was responsible for
Future Technology and Product Roadmap, Advanced Product Development, and Project and Product Planning.
From 1997 to 2000, Jay led the development of advanced technologies for 3G base stations at Fujitsu Europe
Telecom R& D Centre, U.K. He played key roles in a number of projects including smart antennas andinterference cancellers, and high data rate packet transmission technologies. He was Fujitsu’s representativein the 3G standardisation body, 3GPP, and a steering committee member of the UK Virtual Centre of
Excellence in mobile communications (Mobile VCE).
Prior to joining Fujitsu, Jay was a Senior Fellow at the University of Bradford, England, where he supervisedover twenty researchers on CDMA cellular systems, wireless local area networks (WLAN), signal processing aswell as antennas and propagation.
Jay has published 3 books, and over 200 papers in top-tier science and engineering journals and atinternational conferences on antennas and propagation, microwave theory and techniques, mobile andwireless communications, radio positioning systems and networks, and mm-wave imaging. He holds 18
patents. He is regarded as a world-leading expert of Fresnel zone antennas, reconfigurable antennas, wirelesspositioning and gigabit wireless systems. He has served as chairs in numerous international and national
conference committees. Jay is a Fellow of IET, an Adjunct Professor at University of New South Wales (UNSW),
Macquarie University, University of Canberra, and a Guest Professor at the Institute of Computing Technology

34and Shanghai Institute of Microsystems and Information Technologies, both of Chinese Academy of Sciences,and Shanghai Jiaotong University.

Parallel Session 5
Session Name: 5A - RFID Workshop 2 (3 papers)

3:10pm-3:30pm
Quality of Service for Video Streaming OverMulti-Hop Wireless Networks: Admission Control
Approach
Basedon
Analytical
Capacity
Estimation
Yuwei Xu (University of Otago, New Zealand);Jeremiah D. Deng (University of Otago, New
Zealand); Mariusz Nowostawski (University ofOtago, New Zealand)

2:30pm-2:50pm
Real-Time Gradient Cost Establishment (RTGRACE) for an Energy-Aware Routing in WirelessSensor Networks
Najmul Hassan (Mohammad Ali Jinnah Univesity,
Pakistan); Noor M. Khan (Mohammad Ali Jinnah
Univesity, Pakistan); Ghufran Ahmed (Mohammad
Ali Jinnah Univesity, Pakistan); Rodica Ramer(University of New South Wales, Australia)

Session Name: 5C - Special Session on Biomedical
Sensors and Point of Care Devices for Health
Monitoring (3 papers)

2:50pm-3:10pm
Efficient and Secure Data Aggregation for Smart
Metering Networks
Muhammad Daniel Hafiz Abdullah (Victoria
University of Wellington, New Zealand); Ian Welch(Victoria University of Wellington, New Zealand);
Winston K.G. Seah (Victoria University of
Wellington, New Zealand)

2:30pm-2:50pm
The Effect of Tissues in Galvanic Coupling
Intrabody Communication
Behailu Kibret (Victoria University, Australia);
MirHojjat Seyedi (Victoria University, Australia);
Daniel T.H. Lai (Victoria University, Australia);
Michael Faulkner (Victoria University, Australia)

3:10pm-3:30pm
Internet Smart Card for Perishable Food Cold
Supply Chain
Pascal Urien (Télécom ParisTech, France); Selwyn
Piramuthu (University of Florida, USA)

2:50pm-3:10pm
The Effect of Walking Surface on Upper Limb
Dynamics Measured Using Inertial Sensors
Gita Pendharkar (Monash University, Australia);
Daniel T.H. Lai (Victoria University, Australia);
Rezaul Begg (Victoria University, Australia)

Session Name: 5B - Special Session on Internet ofThings for Smart Cities (3 Papers)

3:10pm-3:30pm
Characterizing Respiratory Waveform Regularity
and Associated Thoraco-Abdominal Asynchrony
During Sleep Using Respiratory Inductive
Plethysmography
Sarah A. Immanuel (University of Adelaide,
Australia);
YvonnePamula(Women'sandChildren's Hospital, Australia); Mark Kohler(University of South Australia, Australia); David A.
Saint (University of Adelaide, Australia); Mathias
Baumert (University of Adelaide, Australia)

2:30pm-2:50pm
Building a Generic Architecture for the Internetof Things
Wei Wang (Murdoch University, Australia); Kevin
Lee (Murdoch University, Australia); David Murray(Murdoch University, Australia)
2:50pm-3:10pm
An Internet-of-Things System Architecture Basedon Services and Events
Shiddartha
Raj
Bhandari(UniversityofQueensland, Australia); Neil W. Bergmann(University of Queensland, Australia)

3.30pm- 4.00pm: Coffee Break35

Poster Session (3:30pm-5:30pm)[1]. Extracting Controllable Heating Loadsfrom Aggregated Smart Meter Data Using
Clustering and Predictive Modelling
Harri Niska (University of Eastern Finland,
Finland)

Australia);
Dimitrios(CSIRO, Australia)[9].

[2]. Prolonging the Lifetime of Wireless Sensor
Networks Using Light-Weight Forecasting
Algorithms
Femi A. Aderohunmu (University of Otago,
New Zealand); Giacomo Paci (Università di
Bologna, Italy); Davide Brunelli (Università
di Trento, Italy); Jeremiah D. Deng
(University of Otago, New Zealand); Luca
Benini (Università di Bologna, Italy)

Georgakopoulos

ChargeSelection
Algorithms
forMaximizing Sensor Network Life with
UAV-Based Limited Wireless Recharging
Jennifer Johnson (University of the Pacific,
USA); Elizabeth Basha (University of the
Pacific, USA); Carrick Detweiler (Universityof Nebraska-Lincoln, USA)[10]. Interactive Browsing System for Anomaly
Video Surveillance
Tien-Vu
Nguyen(Deakin
University,
Australia); Dinh Phung (Deakin University,
Australia); Sunil Gupta (Deakin University,
Australia);
SvethaVenkatesh(Deakin
University, Australia)[3]. Enhanced De La Garza Routing Algorithm
for Wireless Sensor Networks
Jun-Yun Zheng (National Chung Cheng
University, Taiwan); Ren-Song Ko (National
Chung Cheng University, Taiwan)[11]. A High Sensitivity Nanorelay Based C-P
sensor for Biomedical Implants
Satish B. Subramanyam (RNSIT, India);
Shuddhodhan Shetty (RNSIT, India)[4]. An Automated Segmentation Technique
for the Processing of Foot UltrasoundImagesRucha Deshpande (VIT University, India);
RajkumarElagiri
Ramalingam(VIT
University,
India);
Nachiappan
Chockalingam (Staffordshire University,
UK);
Roozbeh
Naemi(Staffordshire
University,
UK);
Helen
Branthwaite(Staffordshire University, UK); Lakshmi
Sundar (AR Hospitals, India)[12]. Towards a New Volcano Monitoring
System Using Wireless Sensor Networks
Román Lara (Escuela Politecnica del Ejercito,
Ecuador); Antonio Caamaño (Universidad
Rey Juan Carlos, Spain); Marco Zennaro(ICTP, Italy); José Luis Rojo (Universidad Rey
Juan Carlos, Spain)[13]. Fault Classification and Model Learningfrom Sensory Readings - Framework for
Fault Tolerance in Wireless Sensor
Networks
Valentina Baljak (University of Tokyo,
Japan); Kenji Tei (NII, Japan); Shinichi
Honiden (University of Tokyo, Japan)[5]. Random Node Sampling for Energy
Efficient Data Collection in WirelessSensor Networks
M. Baqer (University of Bahrain, Bahrain);
Khalid Al Mutawah (University of Bahrain,
Bahrain)[14]. Intra-Cavity Absorption Sensor Based on
Erbium-Doped Fiber Laser
Ying Lu (Tianjin University, China); Baoqun
Wu (Tianjin University, China); Xiaohui
Huang(Tianjin
University,
China);
Liangcheng Duan (Tianjin University, China);
Congjing Hao (Tianjin University, China);
Mayilamu Musideke (Tianjin University,
China); Jianquan Yao (Tianjin University,
China)[6]. A Real-Time Routing Protocol for (m,k)Firm Streams in Wireless Sensor Networks
Bijun Li (Gyeongsang National University,
Korea); Ki-Il Kim (GyeongSang National
University, Korea)[7]. A Hybrid History Based Weighted Voting
Algorithm for Smart Mobile E-Health
Monitoring Systems
Ahmed Alahmadi (La Trobe University,
Australia); Ben Soh (La Trobe University,
Australia); Saleh Alghamdi (RMIT University,
Australia)[15]. Relative and Cardinal Directions forPrivacy-aware
Personal
Navigation
Services:A
Comparison
Towards
Navigation Efficiency
Melissa Shahrom (University of Melbourne,
Australia)[8]. Dynamic Configuration of Sensors Using
Mobile Sensor Hub in Internet of Things
Paradigm
Charith Perera (CSIRO, Australia); Prem
Prakash Jayaraman (CSIRO, Australia);
Arkady Zaslavsky (CSIRO, Australia); Peter
Christen (Australian National University,

[16].

36

PIMU: A Wireless Pressure-Sensing IMU
Rolf Adelsberger (ETH Zürich, Switzerland);Gerhard Tröster (ETH Zürich, Switzerland)[17]. Maximal Clique Based Clustering Scheme
for Wireless Sensor Networks
Kamanashis Biswas (Griffith University,
Australia); Vallipuram Muthukkumarasamy(Griffith University, Australia); Elankayer
Sithirasenan (Griffith University, Australia)[20]. An Energy-Efficient Adaptive Sampling
Scheme for Wireless Sensor Networks
Alireza Masoum (University of Twente, The
Netherlands); Nirvana Meratnia (Universityof Twente, The Netherlands); Paul J.M.
Havinga (University of Twente, The
Netherlands)[18]. Sensor Cooperation in Wireless Body Area
Network Using Network Coding for Sleep
Apnoea Monitoring System
Abdur
Rahim
(Monash
University,
Australia);
Nemai
ChandraKarmakar(Monash University, Australia)[21]. Indoor Navigational Aid Using Active RFID
and QR-Code for sighted and Blind People
Saleh Alghamdi (RMIT University, Australia);
Ron van Schyndel (RMIT University,
Australia); Ahmed Alahmadi (La Trobe
University, Australia)[19]. Dynamic Annotation and Visualisation of
the South Esk Hydrological Sensor Web
Ritaban Dutta (CSIRO, Australia); Daniel V.
Smith (CSIRO, Australia); Greg Timms(CSIRO, Australia)[22]. Performance Evaluation of Random Set
Based Pedestrian Tracking Algorithms
Branko Ristic (DSTO, Australia); Jamie
Sherrah (DSTO, Australia); Ángel F. GarcíaFernández
(Chalmers
UniversityofTechnology, Sweden)

5.30pm: Program Closes

7.00pm: Conference Dinner37

5th April, 2013 – Friday

8.30 am - 5:00 pm: Registration

9.00am-10.00am
Session name: Plenary 5: Lensfree On-Chip Microscopy and Tomography Toward Telemedicine
Applications
Speaker: Prof. Aydogan Ozcan, UCLA, USA
Lensfree On-Chip Microscopy and Tomography Toward Telemedicine Applications
Today there are more than 5 billion cell-phone users in the world, and the majority of these cellphones arebeing used in the developing parts of the world. This massive volume of wireless phone communication
brings an enormous cost-reduction to cellphones despite their sophisticated hardware and software
capabilities. Utilizing this advanced state of the art of the cell phone technology towards point-of-carediagnostics and/or microscopic imaging applications can offer numerous opportunities to improve healthcare especially in the developing world where medical facilities and infrastructure are extremely limited oreven do not exist.
Centered on this vision, in this talk I will introduce new imaging and detection architectures that cancompensate in the digital domain for the lack of complexity of optical components by use of novel theories
and numerical algorithms to address the immediate needs and requirements of Telemedicine for Global
Health Problems. Specifically, I will present an on-chip cytometry and microscopy platform that utilizes costeffective and compact components to enable digital recognition and 3D microscopic imaging of cells with
sub-cellular resolution over a large field of view without the need for any lenses, bulky optical components or
coherent sources such as lasers. This incoherent holographic imaging and diagnostic modality has orders ofmagnitude improved light collection efficiency and is robust to misalignments which eliminates potential
imaging artifacts or the need for realignment, making it highly suitable for field use. Applications of thislensfree on-chip microscopy platform to high-throughput imaging and automated counting of whole blood
cells, monitoring of HIV+ patients (through CD4 and CD8 T cell counting) and detection of waterborneparasites towards rapid screening of water quality will also be demonstrated. Further, I will discuss lensfree
implementations of various other computational imaging modalities on the same platform such as pixel
super-resolution imaging, lensfree on-chip tomography, holographic opto-fluidic microscopy/tomography.
Finally, I will demonstrate lensfree on-chip imaging of fluorescently labeled cells over an ultra wide field ofview of >8 cm2, which could be especially important for rare cell analysis (e.g., detection of circulating tumor
cells), as well as for high-throughput screening of DNA/protein micro-arrays.
Bio: Prof. Aydogan Ozcan received his Ph.D. degree at Stanford University Electrical Engineering Department.
After a short post-doctoral fellowship at Stanford University, he is appointed as a research faculty at Harvard
Medical School, Wellman Center for Photomedicine in 2006. Dr. Ozcan joined UCLA in the summer of 2007,
where he is currently an Associate Professor leading the Bio- and Nano-Photonics Laboratory at the ElectricalEngineering and Bioengineering Departments.
Prof. Ozcan holds 22 issued patents (all of which are licensed) and more than 15 pending patent applications
for his inventions in nanoscopy, wide-field imaging, lensless imaging, nonlinear optics, fiber optics, andoptical coherence tomography. Dr. Ozcan gave more than 130 invited talks and is also the author of one
book, the co-author of more than 260 peer reviewed research articles in major scientific journals andconferences. In addition, Dr. Ozcan is the founder and a member of the Board of Directors of Holomic LLC.
Prof. Ozcan received several major awards including the 2011 Presidential Early Career Award for Scientists
and Engineers (PECASE), which is the highest honor bestowed by the United States government on science andengineering professionals in the early stages of their independent research careers. Dr. Ozcan received thisprestigious award for developing innovative optical technologies and signal processing approaches that havethe potential to make a significant impact in biological science and medicine; addressing public health needsin less developed countries; and service to the optical science community including mentoring and support
for underserved minority undergraduate and graduate students. Dr. Ozcan also received the 2013 SPIE
BioPhotonics Technology Innovator Award, the 2011 Army Research Office (ARO) Young Investigator Award,
2011 SPIE Early Career Achievement Award, the 2010 NSF CAREER Award, the 2009 NIH Director's New

38

Innovator Award, the 2009 Office of Naval Research (ONR) Young Investigator Award, the 2009 IEEE
Photonics Society (LEOS) Young Investigator Award and the MIT's Technology Review TR35 Award for his
seminal contributions to near-field and on-chip imaging, and telemedicine based diagnostics.
Prof. Ozcan is also the recipient of the 2012 Popular Science Brilliant 10 Award, 2012 National Academy ofEngineering (NAE) The Grainger Foundation Frontiers of Engineering Award, 2011 Innovators ChallengeAward presented by the Rockefeller Foundation and mHealth Alliance, the 2010 National Geographic
Emerging Explorer Award, the 2010 Bill & Melinda Gates Foundation Grand Challenges Award, the 2010
Popular Mechanics Breakthrough Award, the 2010 Netexplorateur Award given by the Netexplorateur
Observatory & Forum in France, the 2011 Regional Health Care Innovation Challenge Award given by The vonLiebig Center at UCSD, the 2010 PopTech Science and Public Leaders Fellowship, the 2009 Wireless Innovation
Award organized by the Vodafone Americas Foundation as well as the 2008 Okawa Foundation Award, givenby the Okawa Foundation in Japan.
Prof. Ozcan was selected as one of the top 10 innovators by the U.S. Department of State, USAID, NASA, and
NIKE as part of the LAUNCH: Health Forum organized in 2010. He also received the 2012 World Technology
Award on Health and Medicine, which is presented by the World Technology Network in association with
TIME, CNN, AAAS, Science, Technology Review, Fortune, Kurzweil and Accelerosity.
Dr. Ozcan is elected Fellow of SPIE, and is a Senior Member of IEEE, a Member of LEOS, EMBS, OSA, and BMES.

10.00am- 10.30am: Coffee Break
10.30am-11.15am
Session name: Invited Talk 3A: Intelligent Optical Fibre Based Perimeter Security Systems
Speaker: Dr. Jim Katsifolis, Future Fibre Technologies, Australia
Intelligent Optical Fibre Based Perimeter Security Systems
The success of any perimeter security system depends on two critical performance parameters: Its
probability of detection (POD) and its nuisance alarm rate (NAR). The use of fibre optic sensing technologies
in perimeter security systems is approaching a stage of maturity with a number of commercialised
technologies now being used in a broad range of applications and installations covering a wide range ofenvironmental conditions. These technologies offer very high sensitivities and long distance distributed
sensing capabilities which makes them susceptible to unwanted environmental nuisance alarms that canrender a system unusable. In this talk, the importance of using intelligent signal processing techniques toovercome the challenge of nuisance alarms while maintaining an acceptable POD will be presented with somereal life examples.
Bio: Dr. Jim Katsifolis is the Chief Technology Officer and VP of Technical Operations at Future Fibre
Technologies (FFT). He has a PhD in photonics from La Trobe University, Masters of Science in Astronomy
from Swinburne, as well as Masters and Bachelors of Engineering degrees from RMIT. Jim has 20 years ofexperience in both fibre optic communications and fibre optic sensing technologies beginning his career as
an academic at La Trobe University (1993 – 1998), after which he briefly joined FFT in 1998. He then joined
VPI Systems Inc. in 1999 taking up the roles of Technical Liaison Manager and then Software Development
Team Leader. In 2004 he re-joined FFT where he has held the roles of Senior Fibre Systems Engineer andProduct Development Manager, before taking up the roles of CTO and VP Technical Operations.
Jim has been instrumental in the development and patenting of many of FFT's unique technologies and is
responsible for leading the company’s technology strategy, and research and development efforts. He is alsoa Member of the IEEE and a Graduate Member of the Australian Institute of Engineers (IEAust).

10.30am-11.15am
Session name: Invited Talk 3B: Three-Dimensional Thin Film Li-ion Batteries for Miniaturized Power
Sources
Speaker: Prof. Menachem Nathan, Tel Aviv University, Israel

39Three-Dimensional Thin Film Li-ion Batteries for Miniaturized Power Sources
Microsystems in general and smart sensors in particular need miniaturized power sources. The mostestablished and in some cases the only power sources available are batteries. The smallest commercial"microbatteries" are either conventional button-type, or recently developed two-dimensional thin film
batteries (2D-TFBs). The first are still too large and bulky for many applications, while the 2D- TFBs have verysmall energy/capacity and power per footprint.
The talk will present and discuss the performance of a new rechargeable thin- film battery technology
developed over the past decade at Tel Aviv University. This technology is particularly useful for powering
sensors in wireless sensor networks as well as miniaturized and implantable medical devices. The technology
employs wet chemistry to form three-dimensional (3D) TFBs in silicon and other substrates. In a comparison
study performed with a commercial solar energy harvesting development kit, the 3D TFBs exhibit an order ofmagnitude higher energy and power per footprint than the state-of-the art 2D TFBs included in the kit. The
combination of high energy and high power is unique and unavailable from any other known power source ofsmall dimensions.
Bio: Menachem Nathan is a Professor of Electrical Engineering at Tel Aviv University (TAU) Israel. He received
his PhD in materials science from Cornell University, USA, and his BSc and MSc degrees from the Technion in
Haifa, Israel. Before joining TAU, he was a postdoctoral fellow at IBM Research, Yorktown Heights, NY and a
Senior Scientist at Martin Marietta Laboratories, Baltimore, MD. His research at TAU has been focused on
semiconductors, micro-systems (MEMS and MOEMS), nano-optical sensors, thin film battery (TFB)
technologies and spectral imaging. In particular, he is a lead inventor on a 3D-TFB technology developed incooperation with a group in the School of Chemistry at TAU. This technology is currently the only technologythat can provide truly miniaturized power sources for use in sensor networks, medical devices and otherapplications.
Prof. Nathan is a co-author of ca. 100 publications and holds 31 patents. As a patent agent, he drafted andprosecuted more than 250 patents applications before the USPTO and other patent offices.

10.30am-11.15am
Session name: Invited Talk 3C: Connecting Government-Centric Applications Through a Unified Sensing
and Sense-Making Architecture
Speaker: Dr. Hwee-Pink Tan, Institute for Infocomm Research (I²R), A*STAR, Singapore
Connecting Government-Centric Applications Through a Unified Sensing and Sense-Making Architecture
Increased urbanization is putting a strain on land resources and quality of life. As cities and roads become
more congested, urban solutions are required to provide real-time information about the environment inorder for various government agencies to make informed decisions to provide a safe and clean living
environment for city dwellers. Along with the expected demand, sensing systems also need to cater toheterogeneity in terms of sensor modalities, technologies as well as end user and applications.
In this presentation, we will give an overview of A*STAR's Sense and Sense-abilities (S&S) Programme, which
envisions to conduct integrative R&D to define the reference architecture for an end-to-end platform forsustainable large scale and heterogeneous 'sensing' and 'making-sense' of our living environment in real time,
tested and validated with government agencies as lead users.
Bio: Dr. Hwee-Pink Tan is currently a Senior Scientist at the Institute of Infocomm Research (I²R), A*STAR andis also the Programme Manager for the A*STAR Sense and Sense-abilities Program, where he leads a team of
20 full-time research scientists and engineers. He graduated from the Technion, Israel Institute ofTechnology, Israel in August 2004 with a Ph.D. In December 2004, he was awarded the A*STAR International
Postdoctoral Fellowship. From December 2004 to June 2006, he was a post-doctoral research at EURANDOM,
Eindhoven University of Technology, The Netherlands. He was a research fellow with the Centre for
Telecommunications Value-chain Research (CTVR), Trinity College Dublin, Ireland between July 2006 andMarch 2008.
His research has focused on the design, modeling and performance evaluation of networking protocols for
wireless networks, and his current research interests include underwater acoustic sensor networks andwireless sensor networks powered by ambient energy harvesting. He has been a Principal Investigator forseveral industry-projects in the above research areas. He has published more than 60 papers and has served40

on the TPC of numerous conferences and reviewer of papers for many key journals and conferences in thearea of wireless networks.

Parallel Session 6
Session Name: 6A - Intelligent Sensors - MEMS (4Papers)11:55am-12:15pm
An Empirical Comparison of Limb Joint Effects
on Capacitive and Galvanic Coupled Intra-Body
Communications
MirHojjat Seyedi (Victoria University, Australia);
Behailu Kibret (Victoria University, Australia);
Daniel T.H. Lai (Victoria University, Australia);
Michael Faulkner (Victoria University, Australia)

11:15am-11:35am
An Online Load Identification Algorithm for NonIntrusive Load Monitoring in Homes
Xiaojing Wang (Chongqing University, China);
Dongmei Lei (ShenZhen A+E Design Co. Ltd.,
China); Jing Yong (Chongqing University, China);
Liqiang Zeng (Chongqing University, China); Sam
West (CSIRO, Australia)

12:15pm-12:35pm
Rate Distance and MST-Based Multiratecasting in
Wireless Sensor Networks
Xidong Liu (University of Ottawa, Canada); Amiya
Nayak (University of Ottawa, Canada); Ivan
Stojmenovic (University of Ottawa, Canada)

11:35am-11:55am
SA-A-WSN: Situation-Aware Adaptation Approach
for Energy Conservation in Wireless Sensor
Network
Prem Prakash Jayaraman (CSIRO, Australia); Pari
Delir Haghighi (Monash University, Australia)
11:55am-12:15pm
A Wake-Up Switch Using a PiezoelectricDifferential Pressure Sensor
Yutaka Tomimatsu (NMEMS Technology Research
Organization,
Japan);
Hidetoshi
Takahashi(University of Tokyo, Japan); Takeshi Kobayashi(AIST, Japan); Kiyoshi Matsumoto (University ofTokyo, Japan); Isao Shimoyama (University ofTokyo, Japan); Toshihiro Itoh (AIST, Japan);
Ryutaro Maeda (AIST, Japan)

Session Name: 6C - Information Processing 5 (4papers)11:15am-11:35am
IMC-based Feedforward Control of a
Piezoelectric Tube Actuator
Morteza Mohammadzaheri (University of Adelaide,
Australia); Steven Grainger (University of Adelaide,
Australia); Mehdi Kasaee Kopaei (University of
Adelaide, Australia); Mohsen Bazghaleh (Universityof Adelaide, Australia)

12:15pm-12:35pm
Characterization of a New Flexible Pressure
Sensor for Body Sensor Networks
Sravan Salibindla (Victoria University, Australia);
Brice Ripoche (Université de Bourgogne, France);
Daniel T.H. Lai (Victoria University, Australia);
Simon Maas (Racesafe, Australia)

11:35am-11:55am
Introduction of Electromagnetic Image-Based
Chipless RFID System
Mohammad
Zomorrodi(Monash
University,
Australia); Nemai Chandra Karmakar (Monash
University, Australia); Shivali Goel Bansal (Monash
University, Australia)
11:55am-12:15pm
A Novel Hybrid Approach for Wireless Poweringof Biomedical Implants
Mehdi Kasaee Kopaei (University of Adelaide,
Australia); Arash Mehdizadeh (University of
Adelaide, Australia); Damith C. Ranasinghe(University of Adelaide, Australia); Said Al-Sarawi(University of Adelaide, Australia)

Session Name: 6B - WSN Communication and
Networking Protocols (4 Papers)
11:15am-11:35am
CCN-WSN --- A Lightweight, Flexible ContentCentric Networking Protocol for Wireless Sensor
Networks
Zhong Ren (Yale University, USA); Mohamed A.
Hail (Fachhochschule Lübeck, Germany); Horst
Hellbrück (Fachhochschule Lübeck, Germany)

12:15pm-12:35pm
Complementary Resistive Switch (CRS) Based
Smart Sensor Search Engine
Sang-Jin Lee (Chungbuk National University,
Korea); Kwang-Seok Oh (Chungbuk National
University, Korea); Yeon-Gyu Ahn (Chungbuk
National University, Korea); Kyoungrok Cho(Chungbuk National University, Korea); Kamran
Eshraghian (Chungbuk National University, Korea)

11:35am-11:55am
Performance Sensitivity of Routing Algorithms
with Various Models of Wireless Sensor
Networks
Julien Bernard (FEMTO-ST, France); Violeta Felea(FEMTO-ST, France)

4112.35pm- 1.30pm: Lunch

1.30pm-2.30pm
Session name: Plenary 6: From Poor Multi-Binary Sensors to Rich Environmental Sensing
Speaker: Prof. Paulo de Souza, University of Tasmania, Australia
From Poor Multi-Binary Sensors to Rich Environmental Sensing
Today's sensors are highly reliable but comparatively bulky with high-power requirements and high-cost. The
future trend is to go with sensors that are easy to deploy, simple to gather data from, extremely powerefficient, low-cost and produced in thousands. However, the data produced by those tiny sensors could bepoorer. In an extreme case, these sensors will communicate using binary states representing the change
through thresholds (i.e., multi-binary, quantum levels). Although poor in quality, a sword of binary sensors
would provide an extraordinary image of the entire network landscape. Like a cloud of gas, we would not see
individual particles, but rather the whole system or ensemble. Thermodynamic and quantum mechanicalformalisms are examples of theoretical approaches that can be used to extract parameters from an entire
system, rather than for each individual particle or sensor - this will change the way we observe natural
systems.
This talk will introduce you to the concept of binary sensing and present some theoretical formalism used tointerpret their data. It will illustrate their potential relevance to environmental sensing, modeling andultimately to the understanding of nature.
Bio: Paulo de Souza is Professor of Sensor Informatics with the University of Tasmania and Office of the Chief
Executive (OCE) Science Leader at CSIRO. He is a visiting Professor and Head of Environmental Monitoringwith Vale Institute of Technology. Prof Paulo de Souza received his Ph.D. degree in 2004 from the Johannes
Gutenberg Universität in Mainz, Germany. He is recognised internationally in field robotics, geochemistry,and environmental engineering. He is a collaborating scientist on NASA's Mars Exploration Rover mission,
which landed and operates two large robots, Spirit and Opportunity, on the surface of Mars. Paulo is coauthor of over 200 peer-review papers, including the Breakthrough of the Year in 2004 by Science Magazine.
As an OCE Science Leader, he is responsible for fostering the development of CSIRO's smart sensor network
research which aims to create technologies that will radically reduce the cost of gathering data while
improving its quality, thus enhancing understanding of the environment and improving management ofAustralia's natural resources.

42

Parallel Session 7
Session Name: 7A - Sensor Fusion and Tracking
2 (3 Papers)

Hull-Based Approximation to Forest Fires withDistributed Wireless Sensor Networks
M. Ángeles Serna (Universidad de Castilla-La
Mancha, Spain); Aurelio Bermúdez (Universidad deCastilla-La Mancha, Spain); Rafael Casado(Universidad de Castilla-La Mancha, Spain)

2:30pm-2:50pm
Square-Root Unscented Filtering and Smoothing
Mark G. Rutten (DSTO, Australia)
2:50pm-3:10pm
Bernoulli Filter for Detection and Tracking of an
Extended Object in Clutter
Branko Ristic (DSTO, Australia); Jamie Sherrah(DSTO, Australia)

Session Name: 7C - Information Processing 6 (3papers)2:30pm-2:50pm
Towards a Secure Electricity
Mike Burmester (Florida State University, USA);
Joshua Lawrence (Florida State University, USA);David Guidry (Florida State University, USA); Sean
Easton(Florida
State
University,
USA);
Sereyvathana Ty (Sandia National Laboratories,
USA); Xiuwen Liu (Florida State University, USA);
Xin Yuan (Florida State University, USA); Jonathan
Jenkins (Florida State University, USA)

3:10pm-3:30pm
Multi-Bernoulli Sensor Control for Multi-Target
Tracking
Amirali Khodadadian Gostar (RMIT University,
Australia); Reza Hoseinnezhad (RMIT University,
Australia); Alireza Bab-Hadiashar (RMIT University,
Australia)

2:50pm-3:10pm
OMTDR Using BER Estimation for Ambiguities
Cancellation in Ramified Networks Diagnosis
Wafa Ben Hassen (LFSE/LIST/CEA, France); Fabrice
Auzanneau(LFSE/LIST/CEA,France);Luca
Incarbone (LFSE/LIST/CEA, France); François Pérès(LGP/ENIT,
France);AyeleyP.
Tchangani(LGP/ENIT, France)

Session Name: 7B - WSN Coverage and Storage (3Papers)2:30pm-2:50pm
A Distributed Protocol for Storage Aggregationin Wireless Sensor Networks
Yakov Nae (UNICAMP, Brazil)
2:50pm-3:10pm
Priority-Based Coverage Path Planning for Aerial
Wireless Sensor Networks
Ghulam Murtaza (University of New South Wales,
Australia); Salil Kanhere (University of New South
Wales, Australia); Sanjay Jha (University of New
South Wales, Australia)

3:10pm-3:30pm
Fuzzy Logic Inspired Bearing Fault-Model
Membership Estimation
Muhammad Amar (Monash University, Australia);
Iqbal Gondal (Monash University, Australia);
Campbell Wilson (Monash University, Australia)

3:10pm-3:30pm

3.30pm- 4.00pm: Coffee Break
4.00pm-5.00pm
Session name: Concluding Plenary: Large Scale Anomaly Detection in Video Streams
Speaker: Prof. Svetha Venkatesh, Deakin University, Australia
Large Scale Anomaly Detection in Video Streams
This talk addresses a major challenge in large-scale data mining applications where the full information
about the underlying processes cannot be practically obtained due to physical limitations such as low
bandwidth, limited memory, storage, or computing power. Motivated by the recent theory on direct
information sampling called compressed sensing (CS), we propose a framework for detecting anomalies fromthese large-scale data mining applications where the full information is not practically possible to obtain. Our
theoretical contribution shows that the spectral property of the compressible data is approximately
preserved under a CS projection and thus the performance of spectral-based methods for anomalies
detection is almost equivalent to the case in which the raw data were completely available. Our second
contribution is the construction of the framework to use this result and detect anomalies in the CS data
directly, thus circumventing the problems of data acquisition of large sensor networks. Our results show thatour proposed method is scalable, and importantly, its performance is comparable to conventional methods

43for anomaly detection when the complete data is available. The result of this work is a startup company
Icetana - winner of the Broadband innovation award at Tech23.
Bio: Venkatesh is Alfred Deakin Professor and Director of Centre for Pattern Recognition and Data Analytics(PRaDA) at Deakin University. Venkatesh was elected a Fellow of the International Association of Pattern
Recognition in 2004 for contributions to formulation and extraction of semantics in multimedia data. She is a
Fellow of the Australian Academy of Technological Sciences and Engineering. She is on the editorial board ofIEEE Transactions on Multimedia and was on the board of ACM Transactions on Multimedia (2008-2011). She
is a program member of several international conferences such as ACM Multimedia. Venkatesh has developed
frontier technologies in large scale pattern recognition exemplified through 416 publications. She has won
over $14 million in competitive research funding since 1992. Venkatesh and her colleagues have filed 9patents, of which 3 are full patents. One start-up company, spun out of these patents is Virtual Observer andbased on the paradigm shifting methods that leverages mobile cameras to deliver wide area surveillancesolutions. The technology won the Runner up in both the WA Inventor of the year (Early stage) and Global
Security Challenge (Asia-Pacific) in 2007. A recent spin-out company is iCetana and is based on novel
methods to find anomalies in video data. iCetana won the Broadband Innovation Award at the prestigious
Tech23 in 2010.

Concluding Remarks

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