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What's new at the CSIRO ICT Centre. You can also view CSIRO media releases.

New subject on Wireless Sensor Networks

New subject on Wireless Sensor Networks

A specialist subject in Wireless Sensor Networks is being offered as part of an undergraduate or masters degree in engineering at The University of Queensland this semester. The subject is presented by lecturers from the CSIRO ICT Centre who are specialist researchers in this field. It will cover fundamentals of sensor networks as well as advanced topics such as synchronizaton, localization, in-network processing, sensor fusion, security and privacy. A major component of the subject will be an assignment to develop a practical sensor network.

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New software available for download

New software available for download

The haptics related H3DNetworkingUtils and the 3D medical imaging and analysis platform MILX View are now available for download.

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Scientist in Schools Program - Raising Awareness of Sensor Webs

Scientist in Schools Program - Raising Awareness of Sensor Webs

Personnel from the Tasmanian ICT Centre are participating in the 'Scientist in Schools' program using recycled components from previous sensor network deployments to set up a mini Sensor Web at the Hutchins School in Hobart.

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Taking ICT research into the field - and the rainforest

Taking ICT research into the field - and the rainforest

While some may imagine ICT research to be a desk-bound activity, researchers from the Autonomous Systems Laboratory experienced the opposite this week as they performed an installation of 48 sensor nodes in the Springbrook National Park in South East Queensland.

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Managing scarce resources in wireless sensor networks

Managing scarce resources in wireless sensor networks

The efficient management of scarce network resources such as energy and bandwidth is a key challenge in wireless sensor networks, and is typically addressed through the introduction of control mechanisms at the MAC and network layers. However these control mechanisms incur communication and processing overhead that does not scale well for large or dense networks. Instead, we propose a simple combination of directed broadcast and neighbour message overhearing which is more suitable for such networks. This work is published in the December 2009 issue of the journal ACM Transactions on Sensor Networks.

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Motivating Physical Activity in Children Through Computer Games

Motivating Physical Activity in Children Through Computer Games

Stimulating physical activity through a novel game approach.

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Integrating Mobile Telephone Based Sensor Networks into the Sensor Web

Integrating Mobile Telephone Based Sensor Networks into the Sensor Web

Our vacation students Jessica Clarke and Jessica Lethbridge presented a paper in the IEEE Sensors 2009 Conference held in Christchurch, New Zealand. The paper, co-authored by Ren P. Liu and Andrew Terhorst, was selected for oral presentation.

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Camera Calibration in Wireless Multimedia Sensor Networks

Camera Calibration in Wireless Multimedia Sensor Networks

PhD student Junbin Liu received the best overall student paper award at the recent International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2009). His paper presents a method for automatically calibrating wireless camera nodes; an ability which is critical to the feasibility of deploying networks consisting of large quantities of these types of devices. The method involves capturing images as the camera is rotated, and computing the homographies between the images in order to determine camera parameters such as the focal length and principal point.

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Where am I? Place recognition for robots.

Where am I? Place recognition for robots.

Our upcoming article in Robotics and Autonomous Systems describes a method by which a mobile robot can determine, based on laser range data, if it has visited a location before; and - if so - can orient itself within the existing map. This is the robot's equivalent of you being left blindfolded in an unknown location within a city and looking around to determine where you are so that you can find your way home. The technology can also be used to efficiently determine if a loop has been closed while incrementally building a map, or to merge maps generated at different times or by multiple vehicles.

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Building a mathematical model for generic neural microcircuits

Building a mathematical model for generic neural microcircuits

Reservoir computing networks have recently received attention as a potential mathematical model for generic neural microcircuits. They also show promise as a computational technique for technical applications such as time series prediction, however they suffer significant variation in performance when applied to different problems and require the development of problem-specific optimisation procedures. We have investigated methods for addressing this issue in collaboration with researchers in Japan and Taiwan, and our findings have recently been published in the Human Frontier Science Program Journal. Our results have both potential for improving engineering applications, as well as implications for understanding how biological neural networks are shaped to be optimally adapted to the requirements of their environment.

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Modelling the movement and behaviour of cattle

Modelling the movement and behaviour of cattle

The journal Ecological Modelling has published results from experiments using high sample rate GPS data to develop a model of cattle movement and behavioural state (relocating, grazing, and bedding). This novel animal modelling methodology can successfully recognise and model each individual animal, as well as their herding behaviour. It not only shows that cattle graze pastures in a non-homogeneous way but also begins to identify some of the underlying processes that lead to uneven grazing pressure. Understanding herbivore landscape grazing interactions can lead to improved management intervention strategies such as identifying the optimal location of watering points to prevent localised overgrazing effects.

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Autonomous helicopter flies beyond visual range

Autonomous helicopter flies beyond visual range

The maturity of ARCAA - CSIRO rotary UAV platform was on display last week as it successfully demonstrated Beyond Visual Range (BVR) flight with the remote control transmitter powered down and the helicopter flying autonomously out of range of the backup pilot. Flight trials also demonstrated various failsafe modes such as automatic return on loss of communications and in the event that the UAV finds itself "out of bounds" (ie. outside a pre-defined mission boundary). This is a significant milestone in the development of a dependable autonomous helicopter. ARCAA (the Australian Research Centre for Aerospace Automation) is a joint venture of CSIRO and Queensland University of Technology.

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Cloud Computing student competition and internships

Cloud Computing student competition and internships

The Australian Academy of Technological Sciences and Engineering is calling for for proposals advocating novel applications of computing clouds answering the questions: how could a cloud platform be used to solve a previously intractable problem or to deliver services in a new and scalable way?

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Continuous Monitoring of Reservoir Water Quality

Continuous Monitoring of Reservoir Water Quality

The September 2009 issue of the Journal of the Australian Water Association features an article on the Lake Wivenhoe Integrated Wireless Sensor Network. This project is a collaboration between CSIRO, Seqwater and the University of Queensland, and involves a deployment of floating sensor nodes, land-based nodes, and an autonomous boat. The system monitors processes that affect water quality and provides this information to operators and modelers to allow early warning of deteriorating water quality.

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Efficient 3D mapping for mobile robots

Efficient 3D mapping for mobile robots

Our work on efficient 3D mapping for mobile robots has been published in the Autonomous Robots Journal. Whereas most current navigation algorithms in mobile robotics produce 2D maps from data provided by 2D sensors, we have developed a novel algorithm for efficiently constructing 3D maps. Using this technique we mapped a 200 square meter office environment in 3D at 0.02m resolution and demonstrated that a robotic vehicle with only a 2GHz processor and no prior knowledge of its position could locate itself within 5 seconds.

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UAV technology offers hope to lost bushwalker Outback Joe

UAV technology offers hope to lost bushwalker Outback Joe

Students from Aviation High and Brisbane Grammar were the big winners at the UAV Challenge – Outback Rescue competition for 2009. Conceived by researchers from CSIRO and QUT as a way of fostering and promoting the unmanned aerial vehicle (UAV) industry in Australia, the event is one of the largest robotics challenges in the world, and the highest stakes UAV challenge.

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Dust storm delivers unexpected opportunity

Dust storm delivers unexpected opportunity

The dust storm that engulfed south east Queensland yesterday provided an unexpected opportunity for researchers from the Autonomous Systems Laboratory to test our autonomous vehicle navigation systems in adverse conditions.

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Twin wins at the Engineering Excellence Awards

Twin wins at the Engineering Excellence Awards

The ICT Centre has had two wins at the 2009 Australian Engineering Excellence Awards.

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Automation technology for the aluminium industry

Automation technology for the aluminium industry

Dr Ash Tews presented our experience with automating hot metal carrier vehicles at the Aluminium Cast House Technology Conference on Queensland's Gold Coast. The presentation was enthusiastically received by senior executives in the aluminium industry.

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Robust outdoor visual localization

Robust outdoor visual localization

Our research towards a robust outdoor visual localization system for autonomous vehicles in outdoor industrial applications has been published in the Journal of Field Robotics. The paper shows that reliable visual localization can be achieved in challenging outdoor conditions by combining an invariant map, a robust multihypothesis localization algorithm, and an intelligent exposure control algorithm.

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Dr David Bates

Dr David Bates recently spoke at the 6th annual Australian E-Health Research Centre colloquium. He argues for greater use of information technology to improve patients health and safety in this Radio Australia interview.

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UAV Challenge - Brisbane Grammar

ABC Television's Catalyst recently featured the UAV Challenge and the ICT Centre's Jonathan Roberts. Read more...