D. Bouchard, CD, rmc, BEng, MEng, PhD, PEng Associate Dean of Engineering

D. Bouchard
D. Bouchard, CD, rmc, BEng, MEng, PhD, PEng Associate Dean of Engineering
Office:
Sawyer - 4104
Telephone:
(613) 541-6000 ext 6032
Fax:
(613) 544-8107
E-mail:
Department of Electrical and Computer Engineering
Royal Military College of Canada
PO Box 17000, Station Forces
Kingston, Ontario, CANADA
K7K 7B4

Research Interests:

Computer Applications in Power

The aim of this research is to develop algorithms that will allow utilities to reduce distribution system losses through network reconfiguration, by optimizing the open/close position of interfeeder tie and sectionalizing switches.

Artificial Neural Networks

Artificial neural networks borrow concepts and ideas from the field of neuroscience, and apply them to problems in science and engineering. Using neural networks, research has been carried out in a variety of fields, including acoustic signature classification, estimation of the flame temperature of hydrocarbon fuels, and in the recognition of handwritten characters.

Power System Harmonics

The aim of this research is to model the power distribution system of several classes of Canadian vessels, as well as that of CC130 Canadian Hercules aircraft, to examine harmonics within those vessels, and to develop techniques to reduce the harmonics. As well, load management is being investigated.

Biological Signal Processing

The electromyogram (or EMG) is an electrical signal which is recorded during a muscle contraction. With suitable processing, information regarding the state of a muscle (active or inactive, normal or fatigued) can be extracted from the EMG. During normal activity, EMG signal records are non-stationary and dynamic. Techniques for processing and extracting information from such signals are being investigated in conjunction with Dr. Morin at Queen's University as part of a study to evaluate personal load carriage systems.

Date modified: