These are zero-credit-point units designed to challenge the
more advanced 1st and 2nd year students in the
Coordinator:.
Information Session: Wednesday 25th July, Room 135, Blg 26
Project |
Supervisor |
Student |
Sensitivity
Analysis for Bayesian Networks: The first part
of this project will involve the student learning about Bayesian networks.
The programming task is to implement an algorithm that computes a distance
measure between two nodes, which can be used as a starting point for the
expected influence one node exerts on the other. This distance measure can be
used to rank order the nodes with respects to a particular node of interest.
The next step would be to compare this ordering to that obtained by the Netica BN’s “sensitivity to findings” ranking. The programming
will use the Netica Java API (see www.norsys.com). Readings: Bayesian Artificial Intelligence, K.B. Korb and A.E. Nicholson, 2nd Edition, CRC
Press, Chapters 1-4, and Section 10.4.8 – available online through the Monash
library. |
Lucas Azzola Michael Gill Stuart Lloyd |
|
James Austin, Nicholas Smith |
||
Rotor Cryptanalytic Expert System Until the
1950s, rotor machines were the major machines used for commercial and
military cryptography. The most famous machine, was the one used by the
Germans in the second world war, was known as the German Enigma machine.
In this project the plan is to develop some software to help an expert
decipher a rotor code. It will involve a student first understanding how a
rotor cipher works, then understanding the algorithms which are used to
decipher rotor codes, and finally develop some software that implements these
algorithms. |
Michael Billington,
Bianca Gibson, Peter Rudd, Stephen Prayogo |
|
A non-linear mapping plotting tool for refracted radar range
patterns I actually
have even Fortran IV source code written in 1968 which does this, for a
Gerber plotter. The task is to produce a GPL tool which does this kind of (Blake) plot, with an adaptive
algorithm, in a common and usable format. Language
is C preferably for portability, using Cgraph
library (http://neurovision.berkeley. |
Allocated but student
subsequently withdrew |
|
1.
Decision Support Models onthe
Popularity of Motion Pictures 2.
Product Design Support
Models Using Kansei Engineering and Intelligent
Techniques Here is a
description of these projects. |
Chang Joo Yun (cjyun1@student.monash.edu) |
Daniel Reddi
Coronell Chris Morris |
Optical Character Recognition for Early Printed Text Early
printed texts mimicked the handwritten (manuscript) texts that they
replaced, both in the fonts employed and their use of numerous abbreviations.
Modern optical character recognition (OCR) software fails when
applied to scans of such documents. This project will seek a solution to
this problem through developing a front-end for the existing open-source
OCR software Tesseract. This
project is associated with the ARC Discovery Project "Ethics and encyclopaedic
culture in 13th century France: adaptation, diffusion and contexts of
innovation in the Speculum morale and its sources" and will provide an
opportunity to meet with and work with the research team for that
project. Background
reading: |
Ken Gee Chin, Dilpreet Singh |
|
Android App |
Shenjun
Zhong |
Shilong
Sun, Yiu Shek, Thanh Pham |
1. Causal Discovery 2. Creative Evolution of Complexity A key open problem for artificial life is how to build a simulation which exhibits the kind of creativity found in natural biology. Whereas the biosphere exhibits something like exponential explosions in biodiversity following major extinction events (e.g., the "Cambrian explosion"), evolutionary artificial life so far exhibits far more modest diversity growth. This project aims to further develop an existing artificial life
simulation of an ecosystem so that it grows in complexity exponentially. |
Alex
Black Farshid
Zavareh |