CGL Meeting Agenda- 2000.01.05

January 5th, 2000


Location:
DC 1304
Time:
1:30 p.m.
Chair:
Jasmin Patry :-)

Member List

1. Adoption of the Agenda - additions or deletions

2. Coffee Hour

Coffee hour this week:
None
Coffee hour next week:
None.

3. Next meeting (date and time tentative)

Date:
Wednesday, January 12th, 2000
Location:
DC1304
Time:
1:30 p.m.
Chair:
Blair Conrad 8-)
Technical presentation:
Daming Yao 8-)

4. Forthcoming

Chair:
  1. Bill Cowan (January 19th)8-)
  2. Rojia Dadashzadeh (January 26th) 
  3. Margaret Dulat (February 2nd) 
Tech Presenters:
  1. Shalini Aggarwal (January 19th) 8-)
  2. Blair Conrad (January 26th)8-)
  3. Bill Cowan (February 2nd)8-)

5. Technical Presentation

Presenter:
Stephen Mann   8-)
Title:
Geometric Algebra
Abstract:
Geometric Algebra is an extension to Clifford Algebra introduced by David Hestenes in the 1960's. In geometric algebra, there are three products: an inner product, an outer product, and the geometric product. These products are useful for defining subspaces and for algebraic manipulation of geometric expressions. In this talk, I will illustrate the above concepts, and illustrate their use on some simple examples.

A Matlab tutorial introduction the Geometric Algebra may be found at http://www.cgl.uwaterloo.ca/~smann/GABLE/. If you wish to run the tutorial on a CGL machine, from Matlab type

        addpath /u/smann/gable
      

6. General Discussion Items

7. Action List

8. Director's Meeting

9. Seminars

Computer Science Master's Presentation

	       - Wednesday, January 12, 2000

Goretti   Pek  Shan  Fung,  Computer  Science  Graduate
Student,  will  speak  on  ``A  Simulation  Model  of a
Proof-of-Deposit System''.

ROOM:          Davis Centre Room DC 1304
TIME:          3:30 - 4:30 p.m.

ABSTRACT:

A  Proof-of-Deposit  (POD)  System  is  an  image-based
client-server  system  that  uses  advanced imaging and
recognition  technologies  to  automate  and streamline
over-the-counter  proof-of-deposit operations by banks.
It  is a process of determining debits equal credits in
deposits.

On  each  business day, transactions are collected from
branches  of banks and are processed by the POD system.
Items  arrive  processing centers at different times of
the   day,  and  there  are  deadlines  for  processing
cohering   to   government  regulations.  The  rate  of
processing depends on the amount of resources allocated
for  POD  operations.  It  is  important  for  banks to
allocate  enough  resources,  including  machinery  and
human operators, to finish daily POD operations on time
while minimizing operational costs.

In  this  thesis,  we develop a simulation model of the
POD  system.  It  provides  estimations  of  processing
workflow and finishing times under different volumes of
work,  different  resources  allocation strategies, and
different  configurations.  This  model  can be used to
search  for optimal system configurations and resources
allocations  in  daily  POD  operations, and thus helps
banks to realize the best-cost savings possible.

10. Lab Cleanup