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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 Sept.13, 1996</code><br>
<strong><code>Student Number</strong>:
<br>
 919673380</code><br>
<strong><code>Student Name</strong>:
<br>
 Allyson Craig</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 Klaus Peltsch</code><br>
<strong><code>Project Title</strong>:
<br>
 Comparison of Traditional Database Systems and New Systems That Incorporate Object Extentions</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>Traditional Relational database Management Systems(DBMSs) support a data
Model consisting of a collection of named relations, containing attributes
of a specific type. In current commercial systems, possible types include 
floating point numbers, integers, character strings, money, and dates. It 
commonly recongized that this model in inadequate for future data processing
applications. It would be interesting to study how new database systems 
that incorporate objects allow users to easily extend the system. the
extention of objects is fairly new in database systems, an analysis of its
use from a user from a user and designer's point of view would also be
relevant. As well, examples of projects that use these types of systems will
be included.

Stages of Project:
1. Research and logging of information

2. Implementation of two types of database systems - relational model with
object extensions. (Postgres95)
      -Modelling
      -Implementation
      -Testing of the systems

3.Studying of examples

4.Comparison of the example systems on the basis of these features and others:
      -time to develop
      -effectiveness of design
      -efficiency of design
      -modelling issues
      -contribution of object extentions
      -strengths and weaknesses
      -throughput - transactions/second

5. Final Draft of report 
</code></pre>


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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 Sept.17th 1996</code><br>
<strong><code>Student Number</strong>:
<br>
 921056120</code><br>
<strong><code>Student Name</strong>:
<br>
 Chris Crowder</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 K.Peltsch</code><br>
<strong><code>Project Title</strong>:
<br>
 Readability of Visual Programming</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>To study the effects of different approaches to improving the readability
of visual progamming, likely with respect to debugging procedures.

There are a number of side issues to explore which may become the focus -
psychological issues, specific approach comparisons, etc.  There may also 
be a choice made regarding focus on a specific visual programming language
(in that case likely Visual Basic).  Clearer definitions of key words
(e.g. readability) are pending, based on research.</code></pre>


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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 Sept.18, 1996</code><br>
<strong><code>Student Number</strong>:
<br>
 920722050</code><br>
<strong><code>Student Name</strong>:
<br>
 Roberto J. Mannella</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 Dr. Pawan Lingras</code><br>
<strong><code>Project Title</strong>:
<br>
 Continuous Adaptive Prediction of Demand for Electricity Using Neuro Computing</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>Great Lakes Power needs to predict the demand for electricity in the future on a continuous basis.
Such predictions are used to monitor various parameters in the power management.

This project will determine an appropriate neural network model to predict hourly and daily
electrical demands on a continuous basis. The model will be initially trained using 80% of the
available data. The remaining 20% of the data will be used for testing the continuous predictive
ability of the model. In the continuously adaptive predictions, the demand for the next time
period is predicted. Once the actual values of this time period are known they are used to retrain
the network to adapt to the newly available data. It is hoped that such a model will be eventually
tested and implemented in real-time.

The research will involve designing and implementing several models developed using different types
of neural networks such as windowed networks, multi-recurrent or time-delay neural networks. The
results will also be compared with some of the statistical time series analysis techniques such as
autoregressive analysis.</code></pre>


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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 Sept.18,1996</code><br>
<strong><code>Student Number</strong>:
<br>
 909610010</code><br>
<strong><code>Student Name</strong>:
<br>
 Doug Olar</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 George Townsend</code><br>
<strong><code>Project Title</strong>:
<br>
 A CPU for Illustration Purposes</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>  The intention of this thesis is to explore the design and implementation
of a microcoded CPU.
  This CPU is based on a theoretical model to teach and explain how a 
microcoded CPU operates. This would be an oversimplified version of
how a CPU would actually be constructed.
  Given that the purpose of this CPU is to act as a teaching aid, an 
emphasis will be placed on deriving a design that is easy to understand.
Where concerns of efficiency interfere with this design goal, they will
be considered to be secondary.
</code></pre>


From mail Thu Sep 19 12:29 EDT 1996
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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 9/19/96</code><br>
<strong><code>Student Number</strong>:
<br>
 909614510</code><br>
<strong><code>Student Name</strong>:
<br>
 Frank Schnekenburger</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 Pawan Lingras</code><br>
<strong><code>Project Title</strong>:
<br>
 Use of Genetic Algorithms to Optimize Tree Breeding Strategies in Ontario.</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>The development of tree breeding strategies requires the simultaneous 
consideration of many complex objectives and constraints.  Objectives may 
include maximizing genetic gain, economic benefits and/or genetic diversity; 
constraints include restricting the number of families, controlling frequency 
of progeny, and/or limiting geographic distribution of parents.  Genetic 
algorithms will be studied as a means of searching for optimum solutions 
to specific breeding objective-constraint scenarios in Ontario.  The effects 
of different genetic algorithms and changes in algorithm parameters will be 
examined.  Results will be compared with the currently planned strategies.
</code></pre>


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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 Sept. 19/96</code><br>
<strong><code>Student Number</strong>:
<br>
 929610270</code><br>
<strong><code>Student Name</strong>:
<br>
 Jean Preston</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 George Townsend</code><br>
<strong><code>Project Title</strong>:
<br>
 Speaker Recognization</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>Purpose:  To develop a simplified speaker recognition system to control 
access to the senior computer lab.  

The intent is to see if an algorithmic solution will provide a sufficiently
accurate method.  Usually a neural network is used.  The project will 
include research on speaker recognition, development of the programs and 
a user interface, and the implementation and testing of a working prototype.
</code></pre>


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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 Sept 19/ 1996</code><br>
<strong><code>Student Number</strong>:
<br>
 969614980</code><br>
<strong><code>Student Name</strong>:
<br>
 Mark Belsito</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 Prof. Klaus Peltsch</code><br>
<strong><code>Project Title</strong>:
<br>
 An Investigation of the Performance Aspects of Fast Ethernet</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>     The purpose of the thesis is to investigate the performance aspects of
100 mbit/sec ethernet or fast ethernet.  This will entail a study and comparison 
of 10 mbit/sec and 100 mbit/sec scenarios including measurements on delay time,
response time and throughput aspects utilizing various applications.  Fast 
ethernet is becoming a popular option in the marketplace but is likely 
misunderstood in terms of what its actual capabilities are.  By this we mean 
to test, rationalize and/or show that the full specified bandwidth of a network
may in fact seldom, if ever be achieved.  In addition, it is desirable to 
review the performance of TCP/IP over fast ethernet and discuss improvements 
especially in light of the changes planned for TCP/IP over ATM.  The proposed 
test site for this work is the network at Algoma University.
</code></pre>


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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 September 20, 1996</code><br>
<strong><code>Student Number</strong>:
<br>
 900806230</code><br>
<strong><code>Student Name</strong>:
<br>
 Michelle Kraushaar</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 J. Rajnovich</code><br>
<strong><code>Project Title</strong>:
<br>
 Partial Information Ionic Logic Systems</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>This project will involve a detailed study of Partial Information Ionic Logic as outlined in "The Logic of Partial Information" by Dr. Nait Abdallah.  I will also look at implementations (such as PIL and PIL++ which were written by J. Rajnovich) to understand the data structures and the logic tableau creators that they use.</code></pre>


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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 Sept. 20/96</code><br>
<strong><code>Student Number</strong>:
<br>
 912011800</code><br>
<strong><code>Student Name</strong>:
<br>
 Dan Grzelak</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 George Townsend</code><br>
<strong><code>Project Title</strong>:
<br>
 Fingerprint Recognition</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>The intent is to examine the use of computers for fingerprint recognition. Computers
have been used in the past to create and search fingerprint databases for the
purposes of criminal investigation. Currently, the low cost of hardware and advances
in software allows for the use of fingerprints as security verification, for financial
transactions, access to secure areas, etc.. The recognition process involves the
scanning, evaluation, and comparison of a sample fingerprint against a stored
fingerprint database.

Fundamental problems can arise throughout the process. The sample may differ from
the stored value in finger orientation, placement and cleanliness. The computer must
be able to evaluate the characteristics that make up a fingerprint prior to being able to
successfully match a stored fingerprint in the database.

A prototype system, limited to thumbprints, is to be implemented to control access to a
secure area.

</code></pre>


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<center><H1>Algoma University College</H1></center>
<H2><center>Thesis in Computer Science</center></H2>
<H3><center>Thesis Agreement</center></H3>
<strong><code>Date Submitted</strong>:
<br>
 Sept 21</code><br>
<strong><code>Student Number</strong>:
<br>
 93293623</code><br>
<strong><code>Student Name</strong>:
<br>
 Glenn Lawrence</code><br>
<strong><code>Faculty Advisor</strong>:
<br>
 Dr. Lawson</code><br>
<strong><code>Project Title</strong>:
<br>
 Algorithms in Krylov methods</code><br>
<strong><code>Project Description</strong>:
<br>
<pre>Development and testing of algorithms for the solution of heat conducting 
problems by Krylov methods.</code></pre>


