With the recent rapid growth of interest in Multi-Agent Systems(MAS), has come an associated difficulty modelling basic terms, concepts. In this paper, the underlying homogeneousness between human being (society) and software agent (MAS, Multi-Agent System) is opened out, based on which a new definition and architecture for agent is proposed. An agent is made of certain soft genes and roles. Su...

Embedded systems are ubiquitous in society and can contain information that could be used in criminal cases for example in a serious road traffic accident where the car management systems could provide vital forensic information concerning the engine speed etc. A critical review of a number of methods and procedures for the analysis of embedded systems were compared against a ‘standard’ methodo...

Firewalls offer a protection for private networks against external attacks. However, configuring firewalls correctly is a difficult task. There are two main reasons. One is that the effects of a firewall configuration cannot be easily seen during the configuration time. Another one is the lack of guidance to help configuring firewalls. In this paper, we propose a general and unified methodology...

This paper describes a Meta-Modeling Framework (MMF) that addresses many of the deficiencies in the definition of The unified Modeling Language (UML), and promises to support the OMG's newly announced strategy, Model Driven Architecture (MDA) [OMG01]. The facility comprises a language (MML) for defining modeling notations, a tool (MMT) that checks and executes those definitions, and a method (M...

This research provides a probabilistic design environment for the propagation of design uncertainty to the system level to assist in making more educated decisions in the early stages of design. This design uncertainty is associated with the key elements that are addressed in system design and which are captured in the appropriate design environment, namely mission requirements, vehicle attribu...

Recently, the author has proposed a methodology for the design of nonlinear observers based on the dissipative theory. This methodology offers a systematic approach to the observer design providing great flexibility and generality. For example, several well known observer design methods, as the High-Gain and the Lipschitz Observers, can be treated and generalized in a unified manner by the Diss...

There is presently no unified methodology that allows the evaluation of supervised or non-supervised classification algorithms. Supervised problems are evaluated through quality functions while non-supervised problems are evaluated through several structural indexes. In both cases a lot of useful information remains hidden or is not considered by the evaluation method, such as the quality of th...