PF1 Guitar Hero is way too easy Supervisor Peter Farrell Students

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					PF1: Guitar Hero is way too easy
Supervisor                            Peter Farrell
Students                              Reynard Purnata
                                      Xuan Dao Chiang
                                      Satya Satya
                                      Mitchell Wong
Project Description                   Guitar Hero, a game for the Playstation console, involves strumming a
                                      dummy guitar which contains 5 buttons whilst the game measures your
                                      skill. However, for skilled guitar players, this is far too easy. This project
                                      aims to create an interface such that players can use real guitars to play the
                                      game.

                                      This project will connect an electric guitar to a console using an ADC, a
                                      micro-processor and other minor hardware components. Taking into
                                      consideration synchronisation, timing and filtering issues, the game will be
                                      able to measure the game player’s actual guitar playing skills.
 

 

MK1: Engineering devices educational tools for Signals and Systems
Supervisor                             Margreta Kuijper
Students                               Vijay Murali Dharan
                                       Jijoo Kim
Project Description                    This project aims to show how signals and systems theory, the foundation
                                       of numerous engineering devices, can be used for educational purposes. To
                                       this end, a number of applications are given as examples.

                                      Image processing is investigated, with an image represented as a two
                                      dimensional array, and the Fourier Transform and various filters are applied
                                      to give different effects. Dual-tone and multiple-frequency, as well as audio
                                      processing are explored. Laplace transforms and their link to electrical
                                      circuit theory are investigated in designing an audio equalizer for enhancing
                                      music quality.
 

 

MK2 - Codes for DNA computing
Supervisor                            Margreta Kuijper
Students                              Niedya Joeng
Project Description                   Do you feel dissatisfied with today's computers' speed and performance?
                                      Are you frustrated with the fact that computers with great performance
                                      come in bulky sizes? Well fret no more! In the not so distant future,
                                      computers with high-end performances may come in test tubes.

                                      DNA computation requires problems to be formulated in codewords that
                                      take the form of DNA strands. Great care must be taken in choosing
                                      suitable DNA strands to ensure that a solution to the problem is generated.
                                      This project aims to give an overview of this exciting new area and
                                      investigate the suitability of ring codes over Z_4 in comparison to known
                                      additive cyclic codes over the field GF(4).
 
MM2-1: Autonomous source localisation
Supervisor                          Mark Morelande, Branko Ristic
Students                            Alex Fan
                                    Christopher Leong
Project Description                 With the number of nuclear devices in the world, and the threat posed by
                                    terrorist organisations acquiring them, the ability to identify and locate
                                    these hazards safely and efficiently is crucial. As conventional methods may
                                    place personnel in potentially dangerous situations, this project aims to
                                    tackle this problem through the development of autonomous vehicles
                                    which cooperatively work to localize such hazardous sources.

                                      For the purposes of development, a sound source will be used as a safe
                                      analogy to nuclear material. The main developments will involve
                                      simulating and eventually implementing source estimation, vehicle
                                      scheduling and communication algorithms on a robotic development
                                      platform that is purposely designed for research use.
 

 

MM2-2: Autonomous source localisation
Supervisor                          Mark Morelande, Branko Ristic
Students                            Richard Wibisono
                                    Inno Tanaya
                                    David Gunawan
Project Description                 With the emergence of hazardous danger particles in our environment, it is
                                    important that an Autonomous Source Localizer exists. In order to prevent
                                    humans approaching these dangerous particles, this platform can identify
                                    the particles and their positions.

                                      This project aims to enable the platform to find the source of the danger
                                      within some known area containing obstacles. To this end, an ultrasonic or
                                      light source is used to model a radioactive or dangerous source. An
                                      algorithm known as a particle filter is used to search for the particle. Further
                                      software and hardware development is employed in enabling the platform.
 

 

PD1: Exploring Chaos in Semiconductor Lasers
Supervisor                           Peter Dower, Peter Farrell and Kerry Hinton
Students                             Koji Payne
                                     Daniel Thompson
Project Description                  Lasers have many applications in modern society ranging from optical
                                     communication systems and surgery, to DVD burners. It is important to
                                     have a sound understanding of how lasers behave in order to maximise
                                     their performance, whilst using them safely and effectively.

                                      One laser element of particular interest is the semiconductor laser diode,
                                      which is a highly nonlinear device. The main aim of our project is to
                                      investigate whether these devices are capable of exhibiting chaos, and if so,
                                      formulating analog and digital control schemes to mitigate these chaotic
                                      and other undesired effects.
 

PF-SP: PC sound card
Supervisor                             Peter Farrel, Peter Dower
Students                               Blair McCallum
                                       Brendan Westhorpe
Project Description                    Current computer soundcards are designed to run inexpensive pc speakers,
                                       but when connected to a HiFi system, the sound quality can be poor. Our
                                       system aims to connect to a computer, bypassing the normal sound
                                       channels, convert from/to analogue and deliver high quality sound to an
                                       amplifier, or record with high quality from an analogue source such as a
                                       turntable.

                                       Our USB connected device will be external, eliminating the internal
                                       electrical noise of the pc. Data transformation will be between USB and I2S
                                       format, which can then be manipulated in a DSP to implement filters before
                                       finally being recorded or played. The aim is to have 24bit/ 96Khz sound
                                       recording and playback.
 

TH2: Camera Tracking: Multi-Object Identification & Multi-Camera Tracking
Supervisor                           Thomas Hanselmann, Ba-Ngu Vo
Students                             John Li
                                     Peter Yang
Project Description                  With the prevalence of surveillance cameras in modern society, the volume
                                     of video data available has exploded. As a result, online camera monitoring
                                     and offline video reviewing has become impractical. The aim of this project
                                     is to explore automated tracking and identification of multiple objects
                                     across multiple cameras.

                                       Our project will employ image processing techniques to extract specific
                                       features from within a video frame, and use them to identify and track
                                       objects across multiple frames both spatially and temporally. Autonomous
                                       methods of camera tracking will also be explored to avoid the need for
                                       manual calibration in deployment.
 

TN1: Health monitoring for the elderly
Supervisor                             Thas Nirmalathas
Students                               Yana Helen Bittar
                                       Nadia Farhana Radzi
Project Description                    Having home based health monitoring initiatives could help the aged and
                                       disabled lead a normal life in their familiar environment. With access to
                                       reliable monitoring technology, carers will be aided in effectively managing
                                       the condition of these people.

                                       Our aim is to build a gateway that can transmit data from health
                                       monitoring sensors such as glucose and oxygen level meters to a central
                                       processing unit via Zigbee. Here, data will be processed, analyzed and
                                       collated into a report. In the case of abnormal data, our system will alert
                                       carers and/or health care professionals via SMS or email.
 
TN2: Automation of LED Lighting in Energy Efficient Homes Using Solar Energy
Supervisor                           Thas Nirmalathas
Students                             James Mackey
                                     Marcus Yong
Project Description                  With the phasing out of candescent bulbs and the environmental problems
                                     associated with disposing of mercury in compact fluorescent bulbs, there is
                                     a need for a sustainable alternative. Recent advances in light emitting diode
                                     (LED) technology has led to LED’s offering a viable, efficient and
                                     environmentally friendly solution to home lighting.

                                       The aim of this project is to research, design and create an energy efficient,
                                       automated system of LED lighting in homes that is connected to solar
                                       power generation. The project will also analyse this system using data and
                                       models to investigate the feasibility of implementing this system in real
                                       world applications.
 

TV1: Development of a Portable Gait Analysis System
Supervisor                           Tharshan Vaithianathan, Subhash Challa
Students                             Rahul Raghavan
                                     Aniket Sharma
Project Description                  Recording human movement has allowed doctors to pick up and correct
                                     abnormalities just by assessing how a person walks. It has also allowed
                                     animators to create movies such as Happy Feet and Beowulf by mapping
                                     how a person moves and translating this into an animated figure.
                                     Conventional techniques for measuring an individual’s gait are expensive
                                     and cumbersome.

                                       This project aims to develop a simple to use, portable, yet inexpensive
                                       method of monitoring human movement. It involves integrating off-the-
                                       shelf MEMS sensors with wireless transceivers to create a small portable
                                       sensor node. This can be easily placed on the patient and their movement
                                       information sent wirelessly to a remote monitoring location.
 

WS2: Coherent Optical Communication
Supervisor
Students                           Mansour Chamoun
                                   Dylan Cowen
Project Description
                                   There is a new method of radio broadcasting being brought out, digital
                                   radio broadcasting. This method is superior to the old analogue method in
                                   almost every way, less interference and also allows playback and the
                                   sending of information such as the name of the song currently being
                                   played.

                                       Unfortunately receivers for this technology are very expensive, $150 for the
                                       cheapest. Our project aim is to design and build a low-cost digital radio
                                       receiver by throwing away most of the extra features and concentrating on
                                       only demodulating the audio information.
 

 
JE1: Aluminium for Power Transmission
Supervisor                            Jamie Evans
Students                              Nick Edney
                                      Ramya Madhavan
Project Description                   Current day power transmission relies heavily on copper as the primary
                                      material for distribution. Recent trends in the price of metals suggest that
                                      using a cheaper metal, such as aluminium, may provide a significant
                                      commercial advantage. This project aims to analyse the use of aluminium in
                                      preference to copper within the distribution chassis of a panel board.

                                       To this end, a theoretical analysis is carried out on the base properties of
                                       aluminium and copper, and the implications of these on the mechanical
                                       and electrical design is interpreted. An aluminium distribution chassis is
                                       tested and a commercial analysis is carried out to determine whether
                                       aluminium is indeed a viable and more competitive option.
 

 

AK2: Low Cost ECG Monitor for Developing Countries
Supervisor                         Ahsan Khandoker
                                   Jim Black
Students                           Brian Walker
Project Description                An electrocardiogram (ECG) is a medical device used for monitoring a
                                   person’s heart beat. ECG’s are commonplace in our society, however many
                                   developing countries cannot afford enough of them. Our device will be
                                   low cost, and yet just as effective as expensive commercial equipment. It is
                                   hoped that hospitals in Mozambique will express an interest in the final
                                   product.

                                       A mobile phone will be used as a display, with the ECG connected via USB.
                                       Three probes attach to the patient - one on the wrist and one on either leg.
                                       Diagnosis will be made easier via user friendly visual interfaces on the
                                       phone which enable the user to easily freeze the display and backtrack.
 

 

AK3: Sleep Apnea Screening Device for Home Monitoring
Supervisor                            Ahsan Khandoker
Students                              (Oscar) Yuanda Xu
                                      (Ken) Kian Hin Ang
Project Description                   Sleep apnea refers to pauses in breathing during sleep. These pauses (apnea)
                                      occur repeatedly overnight, often resulting in sufferers experiencing
                                      sleepiness and fatigue during daytime. There is also an increased risk of
                                      heart conditions and other diseases associated with this sleeping disorder.

                                       Most sleep apnea cases currently remain undiagnosed because of the cost
                                       and limitations of clinical testing. This project aims to design a portable
                                       device for home diagnosis of sleep apnea, with monitoring and diagnosis in
                                       real-time. Using an algorithm developed last year for sleep apnea screening
                                       by means of ECG signals, hardware system implementation will be carried
                                       out using MATLAB Simulink and a DSP Board.
BK1: Hands Free Mouse
Supervisor                            Brian Krongold
Students                              Daniel Cowen
Project Description                   This project examines the potential for controlling a mouse pointer via a
                                      webcam by detecting eye movement. The possibility of controlling a
                                      pointer using head motion, by tracking dots on a person’s face, will provide
                                      primary insight into the viability of eye movement control. This project has
                                      exciting implications for the control of computer software by people with a
                                      disability as well as a viable future alternative to the hand controlled
                                      mouse. 

                                      This project will be implemented using a C/C++ library entitled ‘openCV’.
                                      This project will involve interfacing with a webcam, processing the
                                      corresponding images, and then interfacing with Windows or an alternative
                                      GUI to control the pointer.
 

BM1: Orbital Angular Momentum for Sensing and Communications
Supervisor                         Prof. William Moran
                                   Prof. Peter Farrell
Students                           Anthony Agosta
                                   Abang Ikhwan Abang Othman
                                   Ting Che Steven Chang
Project Description                In the early 1990s, it was recognized that electromagnetic radiation could
                                   possess orbital angular momentum (OAM) as well as spin angular
                                   momentum. This mechanical property of electromagnetic radiation can be
                                   manipulated and used for a wide range of applications. This new
                                   technology can lead to high-information density communications, sensor
                                   and signal processing applications, Optical Tagging and radar processing.
                                   Our project aims to produce beams of OAM photons at microwave
                                   frequencies and observe its divergence and reflective properties. We will
                                   first generate the desired OAM in the passive framework, by designing
                                   holographic gratings on a printed circuit board or similar structure.
 

DG6: Speech enhancement using an auditory model
Supervisor                          David Grayden
                                    Anthony Burkitt
Students                            Aswin Wijetillake
                                    Gopi Pathmalinkam
Project Description                 Most people would have experienced the frustration of loud background
                                    noise while talking on a mobile phone. Our project aims to develop an
                                    automatic speech enhancement algorithm which removes this noise from
                                    recorded or transmitted speech, hence improving the quality for the
                                    listener. This technology could then be used in various other applications
                                    such as the improvement of hearing aids.

                                      We will employ an auditory model, based on how the ear processes
                                      speech, along with further processing, such as formant tracking, to extract
                                      and enhance the most important properties of the speech signal while
                                      removing the noise.
 
DG8: iHearU
Supervisor                             David Grayden
Students                               Zhongyu Qi
                                       Yanjun Ma
Project Description                    Have you ever found it hard to talk to your friends in a noisy night club?
                                       What about struggling to hear a phone call at a football match? Our
                                       "iHearU" headset can help with these problems. Simply plug the headset
                                       into your mobile and turn your Bluetooth on. Much like helicopter pilots,
                                       you too can talk clearly in a noisy environment. Most importantly, it's small
                                       and portable.

                                       IHearU is a one-to-one walkie talkie system with noise cancelling
                                       technology, which exploits mobile phone Bluetooth capabilities, allowing
                                       people to talk for FREE. The beanforming technique is used to cancel noise
                                       at the microphone and adaptive noise-cancelling has been built into the
                                       earphones.
 

EC2: Multiple Channel Cell Segmentation
Supervisor                            Eric Dahai Cheng
                                      Subhash Challa
Students                              Jiabao Su
                                      Zhenxin Zhang
Project Description                   Microscopic cells tend to migrate over their lifetime. Traditional methods of
                                      detecting a cell and then tracking it through a series of images require a lot
                                      of human intervention, which is extremely time-consuming and expensive.

                                       Our project aims to design a Matlab program to detect and track cells in
                                       different types of microscopy images. To achieve this, we are going to
                                       perform a study into robust cell segmentation algorithms and perform
                                       simulations based on greyscale and CFSE images. The algorithms and
                                       simulation results will then be merged to create our program. The program
                                       must be robust to images of varying contrast ratios and noise levels.
 

EW1: Word Recognition on a DSP Development System
Supervisor                         Erik Weyer
                                   David Grayden
Students                           David Quan
                                   Rebecca Wilson
Project Description                Our system aims to recognise certain words from a selected vocabulary,
                                   regardless of who the speaker is. There may be many applications for
                                   robust speech recognition, such as: control of electrical appliances around
                                   the home, word-display for the hearing impaired, or in multi-lingual
                                   translation.

                                       Using the "ADSP-BF548 EZ-KIT Lite®" DSP (Digital Signal Processor) Board
                                       (from Analog Devices), combined with signal processing techniques, speech
                                       analysis will be conducted in both time and frequency domains. This
                                       analysis will produce a system with robust algorithms which will recognise
                                       words from the chosen vocabulary, independent of speaker, and display
                                       the word or provide an indication that the word was successfully
                                       recognised.
JE2: JIMIBOT
Supervisor                              Jamie Evans
                                        Peter Farrel
                                        Joe Eden
Students                                Tharindu Senarathna
                                        David Collins
                                        Kanupriya Sharda
Project Description                     Like the rest of us, buskers have dreamed of taking a day off. To allow this
                                        luxury we aim to automate the guitar playing process. Coordinating the
                                        action of mechanical, electrical, and software components, ‘Jimibot’ will
                                        play an array of music to a skill level which would take a person many
                                        years to perfect.

                                        This project marks a new benchmark not only in robotic instrument
                                        performance, but also in music. A pneumatic cylinder matrix will emulate
                                        the finger positions along the frets and solenoids will carry out the plucking
                                        mechanism. This will be achieved using control theory, microcontrollers
                                        and the MIDI protocol.
 

JE4: You’re not going anywhere!
Supervisor                              Jamie Evans
Students                                Garry Walpole
Project Description                     This project is to develop a remote controllable braking system for a child’s
                                        bicycle. The system is to increase safety for small children on bicycles by
                                        enabling parents to remotely bring the bike to a stop without locking the
                                        wheels. The addition of the system should have minimal impact on the
                                        normal performance of the bike.

                                        The braking system will comprise a number of safety features including fail-
                                        safe brakes and anti-lock braking. Implementation will require innovations
                                        including; redesign of the brake calliper to an electromechanical unit, and
                                        the design of control system. The control system will respond to a variety
                                        of inputs, including radio remote control, and adjust the calliper
                                        accordingly.
 

JM1: Developing Measurement Tools for Audio Amplifiers
Supervisor                          Jonathan Manton
                                    Peter Farrel
Students                            Shuyan Yu                                    Hengjing Zhu
                                    Rui Su                                       Li Lawrence Deng
Project Description                 This project will investigate why two different audio amplifiers having
                                    similar, if not identical, 'specifications' can sound very different to the
                                    trained ear.

                                        Investigation into the existing methods of testing and evaluating different
                                        amplifiers will be conducted. Based on the technical data of two different
                                        amplifiers, a double-blind-test will be carried out. This will be used to
                                        identify if a normal audience can tell the difference in the quality and other
                                        amp specifications given different testing results. If possible, additional
                                        research will be done, exploring new ways of measuring or improving the
                                        current testing methods.
 

JM2: Regularisation of Audio Distortion via Audio Feedback
Supervisor                             Prof Jonathan Manton
                                       A/Prof Peter Farrell
Students                               Tymur Tsarenko
Project Description                    The project will aim to improve the performance of a typical home hi-fi
                                       system. With the use of microphones located around the room, the
                                       designed system will be able to compare the “heard” sound with the
                                       desired sound. The system will adjust the speaker output to improve the
                                       sound quality.

                                       To achieve this, a feedback control system will be designed and
                                       implemented to improve the output, particularly the bass. The actual audio
                                       response will be compared with the desired audio response and the control
                                       circuitry will endeavour to bring the actual audio response closer to the
                                       desired audio response.
 

LJ1: Animal brain skull removal
Supervisor                            Leigh Johnston;
                                      Nathan Faggian
Students                              Anthony Vo
                                      Dayin Sun
Project Description                   For neuroscientists, manually defining animal brain outlines from MRI scans
                                      can be a time consuming task. This project aims to develop a software tool
                                      to automatically extract the brain as a 3D image from the MRI scan. This
                                      project is in collaboration with the Neuroimaging group at the Howard
                                      Florey Institute.

                                      MATLAB will be used to develop the Brain Extraction Tool. The tool will
                                      discriminate the different structures of segmented mouse brain images such
                                      as bone, tissues and blood vessels. Image processing techniques based on
                                      Bayesian shape modelling will create a 3D model of the mouse brain, which
                                      will then be used in a deformable model algorithm to extract the brain.
 

MC-SP: SoundBeam
Supervisor                             Michael Cantoni
Students                               Kyle Slater
Project Description                    Conventional loudspeakers are great at filling a room with sound; however
                                       there are many applications that require the ability to control exactly where
                                       the sound can be heard in a room. This project aims to create a device
                                       capable of projecting audio as a beam of sound.

                                       The highly directional beam of sound will be achieved through the self-
                                       demodulation of modulated ultrasound, emitted from an array of
                                       ultrasonic transducers. This will involve modelling and simulating the non-
                                       linear propagation of high powered ultrasonic waves in air, and the design
                                       and construction of an ultrasonic array and driving/signal processing
                                       circuitry.
 
PD-SP: Autonomous Video RC Car
Supervisor                             Peter Dower
Students                               Daniel Kabel
                                       Emad Chamie
                                       Benjamin Maxwell
Project Description                    Have you ever played race simulators like Daytona at Timezone? Do you
                                       like racing RC cars? Our ‘Autonomous Video RC Car’ lets you race a real
                                       RC car using a PC racing wheel. A wireless camera gives you a driver’s seat
                                       view of the road ahead. We will also program the car to race by itself, and
                                       set a benchmark time for you to beat … if you can!

                                       A USB interface will be built between the PC and the cars’ transmitter. A
                                       control system will be designed to automate the car, using captured images
                                       from the wireless camera to determine the cars best response, and our
                                       interface to send the control signals.
 

MC5: Modelling and control of a charge distribution network analogy for an irrigation channel
Supervisor                           Michael Cantoni
Students                             Filip Ivanovski
Project Description                  Large networks of open-water channels are used throughout the world to
                                     distribute water to farms. The flow of water is set by gates situated along
                                     these channels. Regulating water-levels throughout the network provides a
                                     way of controlling the capacity of the channels and monitoring the supply
                                     of water to various distribution points.

                                       An electrical analogue to an open water channel will be designed, built and
                                       controlled. Charge will be distributed to a collection of capacitors, each
                                       representing the storage capacity of a section of channel, while also
                                       reflecting transport delays. The control objective will be to regulate the
                                       voltage across each capacitor. Decentralised and distributed feedback
                                       control strategies will need to be considered.
 

SH1: High-Resolution Video using Compressive Sensing
Supervisor                          Stephen Hanly
Students                            Martin Ivanovski
                                    Sudhir Laxman Raskutti
Project Description                 Digital videos are made up of many digital photos, or frames, displayed in
                                    quick succession. In many applications, such as security surveillance systems,
                                    physical constraints limit video performance in terms of the number of
                                    pixels and frame rate that the camera is able to capture. New techniques
                                    indicate that it is possible to overcome these hardware restrictions to
                                    extract high quality video from a limited amount of data.

                                       Our project aims to build a prototype video camera using coded aperture
                                       masks and novel compressive sensing methods to improve the performance
                                       of low resolution video systems. This approach should outperform existing
                                       super-resolution techniques such as frame-wise sampling and interpolation.
 

 
XW2: Efficient background estimation and object detection in video surveillance
Supervisor                            Xuezhi Wang
                                      Subhash Challa
Students                              Dharen Nayer
                                      Matthew Klinko
Project Description                   Say an emergency alarm rings and a building is evacuated. How do we
                                      know if everyone has left the building? Using a surveillance camera to
                                      count the number of people that have entered and left the building is one
                                      way. Our project seeks to automatically detect objects in video surveillance
                                      by removing the background.

                                       Separating dynamic objects, such as people, from a static background is an
                                       important preprocessing step in many computer vision applications.
                                       Accurate and efficient background removal is critical for interactive games,
                                       person detection and tracking, and even in people counting. This project
                                       challenges us to achieve fairly accurate results with minimal costs and
                                       resources.
 

				
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Description: PF1 Guitar Hero is way too easy Supervisor Peter Farrell Students