VI Summer Workshop Series 2002
Links to Presentations and Abstracts
|
Workshop |
Presentor |
|
Protocols for Wired and Wireless Networks in Vehicle Systems |
Dr. S. Mahmud Wayne State University |
|
Emerging Issues in Automotive Power Electronics |
Dr. J. Shen University of Michigan-Dearborn |
|
Adaptive Computing in Embedded Systems |
Dr. A. Elkateeb University of Michigan-Dearborn |
|
Introduction to Intelligent System Decision Techniques |
Dr. K. Cheok Oakland University |
Adaptive Computing in Embedded Systems,
Dr. Ali Elkateeb
Department of Electrical and Computer Engineering
University of Michigan-Dearborn
Dearborn, MI 48128
This workshop explores the emerging field of adaptive computing and its impact on the development of embedded systems. Adaptive computing systems can be used to implement a flexible and massively parallel architecture. The parallelism can lead to significant performance enhancement the flexibility can mitigate development and maintenance issues.
Protocols for Wired and Wireless Networks in Vehicle Systems
Syed Masud Mahmud, Ph.D.
Electrical and Computer Engineering Department
Wayne State University, Detroit MI 48202
Three protocols for Vehicular Networks will be presented in detail. Two of these protocols: CAN (Controller Area Network) and VAN (Vehicle Area Network) are for wired networks and the third protocol, BLUETOOTH, is for wireless networks. The people who have just started to work or are planning to work in the area of vehicular networks will be benefited from this workshop. The people who would like to attend this workshop should have some technical background in the area of digital systems, microprocessors and microcontrollers.
Introduction to Intelligent System Decision Techniques
Dr. Ka C. Cheok
School of Engineering and Computer Science
Oakland University,
Rochester MI 48307-4478
The literature defines an "intelligent system" (IS) as one that makes decisions comparable to those of a normal person for a particular application and environment. The IS will have inputs, outputs, memory, rules and adaptation of these features. Current and new techniques for IS decisions for will be presented. They include neural networks that emulate that way neurons have been theorized to operate, fuzzy logic that interprets statement of instructions, genetic algorithm that optimizes using "survival of the fittest" evolution cycles, genetic programming that finds the structure and parameters of a optimum solution, and other principles of AI that are useful. Concepts will begin with simple examples, simulation demos, and move into theoretical principles, along with further reading materials. We illustrate the concepts with applications to autonomous mobile robots. Students will leave a breadth of IS decision techniques, illustrations and further reading references.
Emerging Issues in Automotive Power Electronics,
Dr. John shen
Department of Electrical and Computer Engineering
University of Michigan-Dearborn
Dearborn, MI 48128
This 4-hour session introduce the basic concepts of power semiconductor devices and power electronic circuits with special emphasis on their applications in vehicle system. The ideal power switches and basic semiconductor device theory will be first introduced, followed by a discussion on several power semiconductor devices (diode, power MOSFET, IGBT, MCT, SiC devices, and power ICs). Basic power converter configurations such as AC/DC, DC/DC and DC/AC converters will be reviewed. A range of case studies of traditional automotive power electronics applications will be provided, which includes load driver circuits for fuel injectors, ignition coils, and bi-directional DC motors, in-vehicle power management and electrical architectures, and 42V PowerNet.