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Joint Chapter of Signal Processing, Oceanic Engineering,
and Geoscience and Remote Sensing
Past Events
·
Multi-Processor SoC's: Trends and Technologies, Dr. Pierre
G. Paulin ·
Position Estimation Using Non-Linear Transformation of
Measurements, Dr. Rajamani
Doraiswami · A Robust Hybrid Intelligent Position/Force Control Scheme for Cooperative Manipulators, Dr. Wail Gueaieb ·
Backward
Compatible Wideband Voice over Narrowband Low- Resolution Media by Dr. Heping Ding ·
Face recognition in video as a
new biometrics modality and the appropriate associative memory framework by Dr. Dmitry O.
Gorodnichy ·
Theory and implementation of particle
filters by
Dr. Miodrag Bolic _____________________________________________________________________________ Multi-Processor SoC's: Trends and Technologies Speaker : Pierre G. Paulin, Ph.D. Place: Room, 5084, School of Information Technology and Engineering, 800 King Edward, Date: February 6th at 6:15pm Organization: IEEE Joint Chapter of Signal
Processing, Oceanic Engineering, and Geoscience and Remote Sensing Ottawa
Chapter together with IEEE Computer Society Ottawa Chapter
Abstract:
We will introduce first elements of solutions developed at ST to address these needs. We present our MultiFlex toolset which maps high-level parallel programming models onto heterogeneous parallel H/W and S/W resources. Results for a mobile multimedia platform application are summarized.
Bio: _____________________________________________________________________________ Position
Estimation Using Non-Linear Transformation of Measurements Speaker Prof. Rajamani Doraiswami, Department of Electrical and Computer
Engineering, The Date: A novel Kalman filter-based scheme is proposed to estimate the navigational states of a vehicle from the range measurements obtained using beacons (transmitter-receivers): at least three placed at known locations and one on the vehicle. The novelty of the scheme stems from
The proposed scheme is evaluated on a number of examples. About the speaker: R.Doraiswami ( M'76-SM '85) obtained his B.E. from Victoria Jubilee Technical Institute, Bombay, India, M.E. from the Indian Institute of Science, Bangalore, India and Ph.D from Johns Hopkins University, Baltimore, USA all in Electrical Engineering, in 1962, 1965 and 1971 respectively. He was a Professor of Electrical Engineering at the Federal University of
Santa Catarina, Florianopolis, Santa Catarina, Brazil from 1971to 1981, and
at the Federal University of Rio de Janeiro, Rio de Janeiro, Brazil from
1976-1978. Since 1981 he has been with the University of New Brunswick,
Fredericton, New Brunswick, Canada where he is currently a professor of
electrical and computer engineering. He has held visiting positions at
various universities in His area of research include control system, power system, signal processing, detection and estimation, navigation, and pattern recognition, biomedical application. He is a senior member of the IEEE, fellow of the Indian Institute of Engineers and a Professional Engineer in the Province of New Brunswick, Canada. A Robust Hybrid Intelligent Position/Force Control Scheme for
Cooperative Manipulators
A decentralized adaptive fuzzy controller is proposed for addressing the problem of controlling the positions and internal forces within multiple coordinated manipulator systems in the face of parametric and modeling uncertainties as well as external disturbances. The controller makes use of a multi-input multi-output fuzzy logic engine and a systematic online adaptation mechanism to fully approximate the overall system's dynamics. Unlike conventional adaptive controllers, the proposed controller does not require a perfect prior model of the system's dynamics nor does it require a linear parameterization of the system's uncertain physical parameters. Using a Lyapunov stability approach, the controller is proven to be robust in the face of varying intensity levels of the aforementioned uncertainties, and the position and the internal forces are proven to asymptotically converge to zero under such conditions. Through a computer simulation of two 3-DOF manipulators, the performance of the controller is verified and compared to that of one of the most efficient conventional adaptive controllers proposed in the literature.
Dr. Wail Gueaieb
received the Bachelor and Master’s degrees in Computer Engineering and
Information Science from Title: Backward Compatible Wideband Voice over Narrowband
Low- Resolution Media Speaker:
Dr. Heping Ding Time:
Monday, February 14th, from 16:30 to 18:00 Place:
Room 5084, SITE, This presentation discusses a scheme for transmitting or storing a wideband (up to 7 kHz) voice in a narrowband (up to 3.4 kHz) channel or medium with a low resolution (G.711, 8-bit) data format. The scheme is fully backward compatible; a conventional receiver, without any decoding mechanism, can still access a narrowband version of the wideband voice. The proposed scheme can be applied where a high quality wideband voice is needed but the physical capacity is limited. Examples are voice-over-IP, digital private branch exchange, as well as storage and playback. An audio demonstration will be given. Dr.
Heping Ding joined Acoustics and Signal Processing Group, Institute for
Microstructural Sciences, National Research Council, Title: Face recognition in
video as a new biometrics modality and the appropriate associative memory
framework Date: Wednesday, December 15, 2004 Time: 16:00-17:30 Location: Room 5084 of Speaker: Dr. Dmitry O. Gorodnichy, Research Officer NRC-CNRC Institute for Information Technology Computational Video Group http://synapse.vit.iit.nrc.ca (project homepage)
Abstract The purpose of this talk is two-fold. First, the audience will be introduced with the basics of the attractor-based associative neural networks. These networks are known as a mathematical tool for building recognition systems which work in a fashion similar to that of the human brain. Second, the audience will be presented with a new framework for recognizing faces in video. While the problem of recognizing faces in video has received a lot of attention recently, in particular, because of such a highly demanded application of it as security surveillance, this problem is often erroneously treated as an extension of the problem of recognizing faces in photographs. Photographs, which are usually taken under very constrained conditions, provide hard biometrics data, as do, for instance, the fingerprints. Video footage, on the other hand, such as the one taken by a surveillance camera, will very unlikely contain the facial data of high quality and is therefore the source of "softer" biometrics. As we will show, however, the soft biometrics provided by video is still very informative and can be efficiently used to memorize and recognize faces. In the demonstrations to be shown, the developed mini brain model allows one to discriminate guests of a talk show in a prerecorded low-resolution video.
Speaker Bio Dr. Dmitry Gorodnichy is a research officer with the
Computational Video Group of the Institute for Information Technology of the
National Research Council of Canada. He has two Ph.D. degrees: one - in
Computing Science (2000) from the 2003 Leaders of Tomorrow by the Partnership Group for
Science and Engineering of Title:
Theory and implementation of particle filters Speaker:
Dr. Miodrag Bolic Time:
Friday November 12, 2004, 11 a.m., Place:
Room 5084, SITE, Abstract:
In
recent years particle filters have attracted great attention in several
research communities. These filters are used in problems where the interest
is in tracking and/or detection of dynamic signals. The standard solutions of
such problems in many applications are based on the Kalman filters or
extended Kalman filters. In situations when the problems are nonlinear or the
noise that distorts the signals is non-Gaussian, the Kalman filters provide
solution that may be far from optimal. The particle filters are an intriguing
alternative to the Kalman filters due to their excellent performance in very
difficult problems. The focus of this presentation will be on the principles
of particle filtering. This presentation will also address applications of
particle filters and the problems that arise in the hardware implementation
of particle filters as well as the approaches to resolve them. |
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