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Articles 1 - 17 of 17

Full-Text Articles in Physical Sciences and Mathematics

Advances In Fetal Heart Rate Monitoring Using Smart Phones, Chang Su Lee, Martin Masek, Chiou Peng Lam, Keng Tiong Tan Jul 2015

Advances In Fetal Heart Rate Monitoring Using Smart Phones, Chang Su Lee, Martin Masek, Chiou Peng Lam, Keng Tiong Tan

Martin Masek

It has been shown that the rate of preterm birth in remote and rural populations in Australia is more than twice of those in the metropolitan population, and that increased access to quality antenatal care in such communities leads to a significant improvement. This paper describes a system that supports remote fetal heart rate monitoring, thus providing a technique that addresses this need for better remote antenatal care. The application involves a smart phone, a portable Doppler ultrasound device, a remote back-end server and network connectivity provided by the global system for mobile communications (GSM) and general packet radio service …


Remote Home-Based Ante And Post Natal Care, Martin Masek, Chang Su Lee, Chiou Peng Lam, Keng Tiong Tan, Angela Fyneman Jul 2015

Remote Home-Based Ante And Post Natal Care, Martin Masek, Chang Su Lee, Chiou Peng Lam, Keng Tiong Tan, Angela Fyneman

Martin Masek

Australia is geographically large and sparsely populated. Thus, its population is subject to inequalities in healthcare based on geographic location. This is particularly true for the management of pregnancies at risk, which require regular monitoring. We discuss a solution in the form of a framework based on inexpensive monitoring devices coupled with a mobile phone and PC systems to enable enhanced monitoring capabilities and remote connectivity. The system has the potential to reduce unnecessary travel for regular checkups. Importantly, this system allows monitoring and diagnosis, as well as support for the mother, to be available remotely at any time allowing …


Teaching An Undergraduate Ai Course With Games And Simulation, Philip Hingston, Barbara Combes, Martin Masek Jul 2015

Teaching An Undergraduate Ai Course With Games And Simulation, Philip Hingston, Barbara Combes, Martin Masek

Martin Masek

In this paper, we report on our experiences in using an animated competitive game with simulated physics to teach Artificial Intelligence techniques in an undergraduate computer science course. Students develop intelligent controllers for simulated vehicles, which compete with each other in a tournament. The simulation includes a real-time visualization of the contests, and the students' solutions utilise an AI toolkit that provides animated displays showing the internal workings of their controllers in parallel with the simulation. The result is a learning experience that engages students' enthusiasm, and 'helps them to development mental models of the AI algorithms.


Wambot: Simulation And Modelling Of A Team Of Autonomous Mobile Robots, Martin Masek, Frank Ophelders, Sushil Pangeni, Adrian Boeing, Thomas Braunl Jul 2015

Wambot: Simulation And Modelling Of A Team Of Autonomous Mobile Robots, Martin Masek, Frank Ophelders, Sushil Pangeni, Adrian Boeing, Thomas Braunl

Martin Masek

Simulation is an essential early evaluation tool for mobile robot research and development, and different stages of development have individual simulator needs. In this paper, we document details of two simulation tools that were developed for an entry into the MAGIC 2010 challenge, an autonomous ground vehicle competition. In developing the entry, simulators were used in two domains: problem analysis and solution testing. The problem analysis simulator was built using a commercial 3D game engine, whilst the simulator aimed at testing of the solution was built using a standard robotics library. By leveraging existing technologies appropriate for each domain, the …


Rough-Fuzzy Hybrid Approach For Identification Of Bio-Markers And Classification On Alzheimer's Disease Data, Changsu Lee, Chiou-Peng Lam, Martin Masek Jul 2015

Rough-Fuzzy Hybrid Approach For Identification Of Bio-Markers And Classification On Alzheimer's Disease Data, Changsu Lee, Chiou-Peng Lam, Martin Masek

Martin Masek

A new approach is proposed in this paper for identification of biomarkers and classification on Alzheimer's disease data by employing a rough-fuzzy hybrid approach called ARFIS (a framework for Adaptive TS-type Rough-Fuzzy Inference Systems). In this approach, the entropy-based discretization technique is employed first on the training data to generate clusters for each attribute with respect to the output information. The rough set-based feature reduction method is then utilized to reduce the number of features in a decision table obtained using the cluster information. Another rough set-based approach is employed for the generation of decision rules. After the construction and …


Exploration Games Played On A Ddr Pad Can Constitute Beneficial Physical Exercise, Kimthy Nguyen, Bohan Li, Martin Masek, Yuwanuch Gulatee Jul 2015

Exploration Games Played On A Ddr Pad Can Constitute Beneficial Physical Exercise, Kimthy Nguyen, Bohan Li, Martin Masek, Yuwanuch Gulatee

Martin Masek

The addition of an exercise component to computer games is a method that attempts to increase exercise compliance among the population. Various attempts at such games have been made, both commercially and as research projects, but the set of studied game mechanics that are both entertaining and provide beneficial exercise are relatively small. In our work, a game mechanic was designed for a floor-based input controller (DDR Pad). Rather than the standard mechanic usually employed for this device, our approach allows the player to explore a virtual world, requiring exertive movements on the input device in order to progress. The …


Using Monte Carlo Tree Search For Replanning In A Multistage Simultaneous Game, Daniel Beard, Philip Hingston, Martin Masek Jul 2015

Using Monte Carlo Tree Search For Replanning In A Multistage Simultaneous Game, Daniel Beard, Philip Hingston, Martin Masek

Martin Masek

In this study, we introduce MC-TSAR, a Monte Carlo Tree Search algorithm for strategy selection in simultaneous multistage games. We evaluate the algorithm using a battle planning scenario in which replanning is possible. We show that the algorithm can be used to select a strategy that approximates a Nash equilibrium strategy, taking into account the possibility of switching strategies part way through the execution of the scenario in the light of new information on the progress of the battle.


Activities Of Daily Living Classification Using Depth Features, Laurence Da Luz, Martin Masek, Chiou Peng Lam Jul 2015

Activities Of Daily Living Classification Using Depth Features, Laurence Da Luz, Martin Masek, Chiou Peng Lam

Martin Masek

The increasing elderly population presents a challenge on the resources of carers and assisted living communities. In this paper, we present an algorithm based around the Microsoft Kinect for monitoring activities of daily living. The system analyses the behaviour of occupants to provide carers with valuable observational data, and has the capacity to detect abnormal events in the home.


Experiments With Monte Carlo Othello, Philip Hingston, Martin Masek Jul 2015

Experiments With Monte Carlo Othello, Philip Hingston, Martin Masek

Martin Masek

In this paper, we report on our experiments with using Monte Carlo simulation (specifically the UCT algorithm) as the basis for an Othello playing program. Monte Carlo methods have been used for other games in the past, most recently and notably in successful Go playing programs. We show that Monte Carlo-based players have potential for Othello, and that evolutionary algorithms can be used to improve their strength.


Exergame Development Using The Dual Flow Model, Jeffrey Sinclair, Philip Hingston, Martin Masek Jul 2015

Exergame Development Using The Dual Flow Model, Jeffrey Sinclair, Philip Hingston, Martin Masek

Martin Masek

No abstract provided.


Analysis Of Key Installation Protection Using Computerized Red Teaming, Tirtha Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek Jul 2015

Analysis Of Key Installation Protection Using Computerized Red Teaming, Tirtha Ranjeet, Philip Hingston, Chiou Peng Lam, Martin Masek

Martin Masek

This paper describes the use of genetic algorithms (GAs) for computerized red teaming applications, to explore options for military plans in specific scenarios. A tool called Optimized Red Teaming (ORT) is developed and we illustrate how it may be utilized to assist the red teaming process in security organizations, such as military forces. The developed technique incorporates a genetic algorithm in conjunction with an agent-based simulation system (ABS) called MANA (Map Aware Non-uniform Automata). Both enemy forces (the red team) and friendly forces (the blue team) are modelled as intelligent agents in a multi-agent system and many computer simulations of …


Raising Heart Rate With Dance Pad Based Computer Games, Martin Masek, Philip Hingston, Matthew Carrigy, Liam Collins, Kazunori (Ken) Nosaka Jul 2015

Raising Heart Rate With Dance Pad Based Computer Games, Martin Masek, Philip Hingston, Matthew Carrigy, Liam Collins, Kazunori (Ken) Nosaka

Martin Masek

No abstract provided.


Considerations For The Design Of Exergames, Jeffrey Ronald Sinclair, Philip Hingston, Martin Masek Jul 2015

Considerations For The Design Of Exergames, Jeffrey Ronald Sinclair, Philip Hingston, Martin Masek

Martin Masek

No abstract provided.


A Multimodal Problem For Competitive Coevolution, Philip Hingston, Tirtha Ranjeet, Chiou Peng Lam, Martin Masek Jul 2015

A Multimodal Problem For Competitive Coevolution, Philip Hingston, Tirtha Ranjeet, Chiou Peng Lam, Martin Masek

Martin Masek

Coevolutionary algorithms are a special kind of evolutionary algorithm with advantages in solving certain specific kinds of problems. In particular, competitive coevolutionary algorithms can be used to study problems in which two sides compete against each other and must choose a suitable strategy. Often these problems are multimodal - there is more than one strong strategy for each side. In this paper, we introduce a scalable multimodal test problem for competitive coevolution, and use it to investigate the effectiveness of some common coevolutionary algorithm enhancement techniques.


The Effects Of Diversity Maintenance On Coevolution For An Intransitive Numbers Problem, Tirtha Ranjeet, Martin Masek, Philip Hingston, Chiou Peng Lam Jul 2015

The Effects Of Diversity Maintenance On Coevolution For An Intransitive Numbers Problem, Tirtha Ranjeet, Martin Masek, Philip Hingston, Chiou Peng Lam

Martin Masek

In this paper, we investigate the effectiveness of several techniques commonly recommended for overcoming convergence problems with coevolutionary algorithms. In particular, we investigate effects of the Hall of Fame, and of several diversity maintenance methods, on a problem designed to test the ability of coevolutionary algorithms to deal with an intransitive superiority relation between solutions. We measure and analyse the effects of these methods on population diversity and on solution quality.


Use Of Online Tools To Aid Group Work, Martin Masek Jul 2015

Use Of Online Tools To Aid Group Work, Martin Masek

Martin Masek

No abstract provided.


Managing Multidisciplinary Student Design Teams, Martin Masek, Joo Jung, Barnard Clarkson Jul 2015

Managing Multidisciplinary Student Design Teams, Martin Masek, Joo Jung, Barnard Clarkson

Martin Masek

The management of multidisciplinary student teams is a challenge. In this paper we describe our experience in running a shared assessment across several units. Four multidisciplinary teams were formed, and success was mixed, with one team splitting into two along discipline lines and all experiencing communication issues. The main management challenges that arose were based around difficulty in communication and the understanding of the other disciplines requirements. We outline the process we used to construct the shared assessment, and provide some insight in how the student groups dealt with issues that arose.