Tutorial A: Sensor Data Fusion, principles and applications

Sensor Data Fusion deals with the synergistic combination of data made available by various sources such as sensors in order to provide a better understanding of a given scene. The use of sensor/data fusion concept has advantages such as "Redundancy", "Complementary", "Timeliness" and "Less Costly Information". The following issues will be presented in this tutorial:

• Background
• Sensor/Data fusion overview
• Definition & Formulation
• Fusion: A Fission inversion model
• Fusion characterization:
  • Application domain
  • Fusion objective
  • Fusion process input/output characteristics
  • Sensor suite configuration
• Different Techniques of Sensor fusion
  • Conventional Approaches
  • Knowledge based Systems/Intelligent Approaches
• Different Level Fusion Architectures
• Different Fusion Model Architectures
• Integration of Mechatronics & Sensor Data Fusion
• Some typical applications of Sensor Data Fusion in Robotics & Mechatronics.

Professor Behzad Moshiri
Professor of Control systems engineering
Senior member, IEEE

Professor Behzad Moshiri received his B.Sc. degree in mechanical engineering from Iran University of Science and Technology (IUST) in 1984 and M.Sc. and Ph.D. degrees in control systems engineering from the University of Manchester, Institute of Science and Technology (UMIST), U.K. in 1987 and 1991 respectively. He joined the school of electrical and computer engineering, university of Tehran in 1992 where he is currently professor of control systems engineering. He was the member of ISA (Canada Branch) in 1991-1992. He has been the member of ISIF since 2002 and Senior member of IEEE since 2006. He has been the head of Machine Intelligence & Robotics division at school of ECE. He received the Distinguished Researcher Award from University of Tehran in 2003 and received the Distinguished Alumnus Award from IUST in 2004. He also received "Active Participation Award for the Best Poster Presentation" at International Conference on Machine Intelligence (ACIDCA-ICMI) sponsored by IEEE in 2005. He has recently received "The Best Conference Paper Award" at Canadian Transportation Research Forum, CTRF 2010 for the application of sensor fusion in ITS. He is the author/co-author of more than 270 articles including 60 journal papers and 18 book chapters. He is Visiting Professor at universities of Toronto and Waterloo since Oct. 2009. Professor Moshiri's fields of research include advanced industrial control design, advanced instrumentation design, applications of information and sensor data fusion in mechatronics, robotics, process control, information technology, bioinformatics and intelligent transportation systems (ITS).

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Tutorial B: Introduction to Optical Metrology

In this tutorial we will have a brief overview of the basic methods and applications of optical metrology. We will discuss its uses, limitations and how it is typically used in industry. The following topics will be covered:

• Background theory
• Types of measurements
• GD & T
• Types of sensors
• Limitations of optical measurements
• Industrial applications

This tutorial is best suited to engineers new to optical metrology.

Professor Vincent Chan, P.Eng., Ph.D.
Associate Professor
Ryerson University

Dr. Vincent Chan received his BASc in Mechanical Engineering from the University of Waterloo in 1992, his Masters of Applied Science from Queen's University in Kingston, in 1994 and his Ph.D. in Mechanical Engineering from the University of Victoria, in British Columbia, Canada in 1999. Before starting his Ph.D., he worked as a tool design engineer in the automotive industry in Windsor, Ontario, Canada. Dr. Chan has been a faculty member in Ryerson University's department of Mechanical and Industrial engineering since 1999. He is a member of the ASME and the SPIE, and has published number of papers in metrology, reverse engineering and rapid prototyping.

Dr. Howard Yuanhao Huang, Ph.D.
Department of Mechanical and Industrial Engineering
Ryerson University

Dr. Huang received his B.Sc. from Peking University in 2002, his M. Eng. from National University of Singapore in 2004, and his Ph.D. from City University of Hong Kong in Feb 2009. Dr. Huang has multi-disciplinary research experiences in mechanical engineering, optical engineering, electronics engineering and material science. His research interest includes laser interferometry, holography, shearography, moiré, photoelasticity, fringe projection, digital image correlation, 3D reconstruction, image processing, phase measurement, optical characterization of advanced material, experimental stress analysis, thermography, optical nondestructive testing and evaluations, optical instrumentation and biosensor development. Dr. Huang has published over 30 journal and conference papers in optical metrology.

Cancellation:
Conference organizers reserve the right to cancel a tutorial. Registration fees for cancelled tutorials will be fully refunded. All ISOT 2010 attendees are welcome to attend one of the tutorials of their choice at no additional charge.