Proceedings of the
4th WSEAS International Conference on
SYSTEM SCIENCE and ENGINEERING

-ICOSSE `05-

 

Rio de Janeiro, Brazil, April 25-27, 2005

 

 

 

MONDAY, APRIL 25, 2005

 

Keynote Lecture:

 

Vision Simulated Imaging

 

Professor Brian A. Barsky
Computer Science Division and School of Optometry
University of California
Berkeley, California, USA

E-mail:  barsky@cs.berkeley.edu

 

Vision-simulated imaging (VSI) is the computer generation of synthetic images to simulate a subject's vision, by incorporating the characteristics of a particular individual's entire optical system.  Using measured aberration data from a Shack-Hartmann wavefront aberrometry device, VSI modifies input images to simulate the appearance of the scene for the individual patient. Each input image can be a photograph, synthetic image created by computer, frame from a video, or standard Snellen acuity eye chart -- as long as there is accompanying depth  information. An eye chart is very revealing, since it shows what the patient would see during an eye examination, and provides an accurate picture of his or her vision.  Using wavefront aberration measurements, we determine a discrete blur function by sampling at a set of focusing distances, specified as a set of depth planes that discretize the three-dimensional space.

For each depth plane, we construct an object-space blur filter.  VSI methodology comprises several steps:  (1) creation of a set of depth images, (2) computation of blur filters, (3) stratification of the image, (4) blurring of each depth image, and (5) composition of the blurred depth images to form a single vision-simulated image.
VSI provides images and videos of simulated vision to enable a patient's eye doctor to see the specific visual anomalies of the patient. In addition to blur, VSI could reveal to the doctor the multiple images or distortions present in the patient's vision that would not otherwise be apparent from standard visual acuity measurements. VSI could educate medical students as well as patients about the particular visual effects of certain vision disorders (such as keratoconus and monocular diplopia) by enabling them to view images and videos that are generated using the optics of various eye conditions. By measuring PRK/LASIK patients pre- and post-op, VSI could provide doctors with extensive, objective, information about a patient's vision before and after surgery.  Potential candiates contemplating surgery could see simulations of their predicted vision and of various possible visual anomalies that could arise from the surgery, such as glare at night. The current protocol, where patients sign a consent form that can be difficult for a layperson to understand fully, could be supplemented by the viewing of a computer-generated video of simulated vision showing the possible visual problems that could be engendered by the surgery.

 

Plenary Lecture:

 

Neuroprocessing in Silicon

 

Professor James F. Frenzel

Electrical & Computer Engineering

POB 441023

University of Idaho

Moscow, ID 83844-1023 USA

www.uidaho.edu/~jfrenzel

 

Despite phenomenal advancements in semiconductor technology over the last five decades, today’s computers still struggle with certain tasks that are easily performed by a young child. One of the first electronic implementations of a pulsed neuron was introduced in 1937 and since then research efforts have covered a wide spectrum, ranging from single-transistor models to powerful parallel processors comprised of digital signal processors. This talk will highlight some of the recent developments in the field of hardware-based neurocomputing and then present work from the University of Idaho. For the last three years, an interdisciplinary team from engineering and computer science has been working toward the development of CMOS circuits capable of mimicking the biological and signal mechanisms observed in the human nervous system. This work, funded by the National Science Foundation, is part of a larger effort within the Neuroscience program at the University of Idaho (www.grad.uidaho.edu/neuro).

 

 

Session: Engineering Systems and Applications

 

Chair: Prof. Jiri Klima, Prof. Marcelo Lopez

Hybrid Control on a Domestic Service Robot Designed for Cleaning Tasks

By Fabrizio Marrone, Francesco Maria Raimondi [494-218]

 

The Optimum Kinematic Design of a Spatial Nine-Degree-of-Freedom Parallel Manipulator

By Antonino Galfo, Rosario Sinatra [494-194]

 

Integration of Systems Engineering Best Practices with DoD Acquisition Regulation 5000.1 and Instructional 5000.2

By Jessica Forman, Andrew Hitchings, Travis Reinold, Eric Turner, Meghan Vrabel, Mike McGinnis [494-159]

 

Towards a decision support studio for business engineering enabled by mobile services

By Yan Wang [494-128]

 

Building Automation System for Energy Auditing – Integrating ICT in Energy Application

By Abu M Wahidullah, Marizan Sulaiman [494-120]

 

Active Systems Design: Hardware-In-the-Loop Simulation

By Aldo Sorniotti, Gianfrancesco Maria Repici [494-251]

 

An Interdisciplinary Problem Solving Approach to Company Integration

By Ionel Botef, Barry Dwolatzky [494-101]

 

Session: Information Technology

 

Chair: Prof. Ana Madureira, Prof. James Frenzel

Hardware Procedures vs. Simulation Procedures: What Do Computer Science Engineering Students Think About Them?

By E.J. González, A. Hamilton, L. Moreno, R.L. Marichal, V. Muñoz [494-Go4]

 

Design of a web-based framework using XML and JavaScript

By R.M. Aguilar, V. Muñoz, E.J. González, C. González, M.A. Noda, A. Bruno, L. Moreno [494-Go1]

 

A News Domain Topic Detection System

By Cormac Flynn, John Dunnion [494-292]

 

Knowledge-Pattern Based Information Extraction

By Magdy Aboul-Ela [494-263]

 

Building A Kiwi Voice Using Unit Selection Approach

By Hira Sathu, Ranjana Shukla, Jun Li [494-165]

 

Test of a Data Basis Oriented Object after Phase of Conception

By Soumia Layachi [494-252]

 

 

Session: Software Engineering and Computing

 

 

 

Session: Non-Linear and Intelligent Systems

 

Chair: Prof. Jyrki Joutsensalo, Prof. Liming Dai

 

Special Session: Computational Methods and Applications on Modern Communications

 

Chair: Prof. Humberto César Chaves Fernandes