In recent years, active filters have been considered and developed for elimation of harmonics in power networks. Comparing with passive, they are smaller and have better compensating characteristics and resistance to line distortions. In this paper, a novel idea based on adaptive filter theory in presented to develop an active filter to eliminate the distortions of an arbitrary signal. Using th...

Agile software development methods help software development teams respond to changing requirements. Fundamental to this ability to respond to change is the manner in which requirements are communicated and developed. The question of agile requirements development is considered through the lens of Complex Adaptive Systems theory, a theory used to explain agility in software development teams. A...

Complex adaptive systems research adds to the theory of how to design systems that are resilient to change in turbulent environments. This paper reports a case story about using complex adaptive systems theory for designing a quality management system in a politically turbulent organization. The story explains how the quality management system evolved rapidly, exploiting the turbulence of the o...

This paper discusses the body of knowledge known as complex systems theory and its relevance to manufacturing organizations. It begins by addressing the development of systems thinking, in order to explore the different views on how systems should be studied. This initial commentary provides an introduction to the concepts of the complex systems theory approach, along with its various metaphors...

This qualitative research study explores the leadership challenges in emergency management systems in Canada. Complex adaptive systems theory forms the theoretical paradigmatic perspective of emergency events, such as mass emergencies, disasters and catastrophes. Thematic analysis of a key informant study of emergency leaders identified twelve key leadership capabilities. From the grounded theo...

With advances in biology and medicine, there is a need for new decision support systems that can integrate the knowledge of these domains and enhance the decision making process. Several issues need to be addressed before we can design an intelligent biomedical decision support system. With rapid speed of development and innovation, biomedical information is continuously changing, so systems ad...

image classification is an issue which utilizes image processing, pattern recognition and classification methods. automatic medical image classification is a progressive area in image classification and it expected to be more developed in the future. due to this fact that automatic diagnosis which use intelligent methods such as medical image classification can assist pathologists by providing ...

Language arises from the interaction of three complex adaptive systems — biological evolution, learning, and culture. We focus here on cultural evolution, and present an Iterated Learning Model of the emergence of compositionality, a fundamental structural property of language. Our main result is to show that the poverty of the stimulus available to language learners leads to a pressure for lin...

This paper is about one of the central dilemmas of e-Learning: can we separate content and context, and how should we manage the relationship between the two? Or to put it another way, are Learning Objects just commoditised learning? With the growth of e-Learning over the past few years, learning objects have come into their own. They are the component units of e-Learning, and in principle can ...

In this paper, a decentralized adaptive neural controller is proposed for a class of large-scale nonlinear systems with unknown nonlinear, non-affine subsystems and unknown nonlinear time-delay interconnections. The stability of the closed loop system is guaranteed through Lyapunov-Krasovskii stability analysis. Simulation results are provided to show the effectiveness of the proposed approache...