PROGRAM

7th WSEAS International Conference on
ROBOTICS, CONTROL and MANUFACTURING TECHNOLOGY
(ROCOM '07)

Hangzhou, China, April 15-17, 2007

Sunday, April 15, 2007

PLENARY LECTURE 1

Intelligent Recurrent Cerebellar Model Articulation
Controller Design

Professor Chih-Min Lin
Department of Electrical Engineering

Yuan Ze University, Taiwan

Abstract: Based on biological prototype of human brain and improved understanding of the functionality of the neurons and the pattern of their interconnections in the brain, many mathematical models of neural networks have been proposed to perform useful computational functions in different applications. Among these NN models, a theoretical model used to explain the information-processing characteristics of the cerebellum was developed independently by Marr (1969) and Albus (1971). CMAC, first proposed by Albus, signifies cerebellar model articulation controller. CMAC is a learning structure that imitates the organization and functionality of the cerebellum of the human brain. That model revealed the structure and functionality of the various cells and fibers in the cerebellum.

The core of CMAC is an associative memory which has the ability to realize complex nonlinear functions. CMAC takes advantage of the input-redundancy by using distributed storage and can learn nonlinear functions extremely quickly due to the local adjustment of its weights. CMAC has been applied in the closed-loop control of complex dynamical systems for the reason of good generalization capability and fast learning property.

PLENARY LECTURE 2

Boolean Functions and Contemporary Cryptography

Professor Oleksander Markovskyy
National Technical University of Ukraine
(Polytechnic Institute of Kiev)
Department of Computer Engineering

Abstract: The one way (non invertible) transformations constitute the basis of the contemporary cryptography. A substantial part of the contemporary cryptographic algorithms is based on the one way transformations, which use the Boolean functions. In particular, the cryptographic properties of two most important classes of the algorithms (block cipher and stream ciphers for symmetrical coding) are based on the Boolean transformations.
In this Plenary Lecture, the contemporary state of the Boolean functions theory will be presented in details including specific cryptographic tasks for implementation. The basic properties of the Boolean functions, which are important for the cryptographic applications, and also the contemporary state of the problem for obtaining the Boolean functions, which possess such properties, will be mentioned, analyzed and discussed. Considerable attention will be given to the theoretical issues of the development of the Boolean functions for developing and implementing effective cryptographic systems.

SESSION: Robotics and Automatic Control

Chair: Wang Zhongfei, Muhammad Yousuf

Monday, April 16, 2007

PLENARY LECTURE 3

Intentional 3D Vision in Robotics

Professor S. Y. Chen

University of Hamburg

Zhejiang University of Technology

CHINA

Abstract: The 3D model of an object or environment is very important to many practical applications, e.g. hypermedia techniques, interactive handling/working, virtualized reality, interactive exploration, robot autonomous applications, etc. An efficient way to obtain such models is using 3D vision. However, since no prior information about the targets is available before the vision task is taking place, it is desired that the robot is capable to purposively decide how to finish the modeling task without human interference. The project investigates the issue of intentional perception planning in which there are three related problems to be tackled, i.e. perception planning, purposive sensor configuration, and 3D model construction. They are considered in an autonomous vision system which employs an observing strategy for target modeling. The research develops methods to actively decide the viewpoints and sensor configuration to observe specific aspects of the target and estimates the modeling state or completeness. The system analyzes the obtained information and performs the perception strategy that automatically generates a multi-view plan. The research would lead to fully automate the modeling process and have the mechanism to autonomously move and change sensing parameters for complete 3D data recovery.

SESSION: Manufacturing Technology

Chair: Guolin Dan, Mohammad Hossein Refan

Tuesday, April 17, 2007

SESSION: Design of Complex Mechanisms

Chair: Weimin Li, Amritasu Sinha