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Safety, subjectivity and imagination
Published in John Davies, Alastair Ross, Brendan Wallace, Linda Wright, Safety Management, 2003
John Davies, Alastair Ross, Brendan Wallace, Linda Wright
Chaos theory is a mathematical theory. In this text the word chaos refers to that theory; not to the state of Paisley Road shortly after the finish of a soccer match, played at Ibrox, between Glasgow Rangers and Celtic. Chaos theory is less associated with the work of a single person than either relativity or quantum theory, though Feigenbaum is often credited with taking some of the initial steps in this area (Gleick 1998). Like the theories of relativity and quantum mechanics, chaos theory fundamentally challenges certain traditional beliefs in the ability of science to reveal absolute truths about the universe. Chaos theory simply contradicts the idea that if we know enough about a situation now we can predict what will happen next, on the basis that in certain kinds of systems one can never know enough in principle about the situation.
Analysis techniques for optimising production systems
Published in D.R. Moore, D.J. Hague, Building Production Management Techniques, 2014
So, on with self similarity. Within chaos theory there exists the concept of the fractal. Defining a fractal appears to be even more difficult than defining buildability, which suggests that chaos theory may have a lot to offer the construction industry! One definition of a fractal is ‘… an object which appears self-similar under varying degrees of magnification. In effect, possessing symmetry across scale, with each small part of the object replicating the structure of the whole/ (Addison 1997). Again, do not become overly concerned at this point about the term ‘object’; this can be interpreted in various ways and it is probably easiest to view the term as referring to a representation of task systems and subsystems.
Management Theories
Published in W. David Yates, Safety Professional’s Reference and Study Guide, 2020
Chaos theory is a field of study in mathematics, physics, and philosophy studying the behavior of dynamical systems that are highly sensitive to initial conditions. This sensitivity is popularly referred to as the butterfly effect. Small differences in initial conditions yield widely diverging outcomes for chaotic systems, rendering long-term prediction impossible in general. This happens even though these systems are deterministic, meaning that their future behavior is fully determined by their initial conditions, with no random elements involved. In other words, the deterministic nature of these systems does not make them predictable.
Design of a novel chaotic neural network based encryption system for security applications
Published in Journal of the Chinese Institute of Engineers, 2021
With the widespread advances in semiconductor systems, the number of computing devices in the world has increased significantly. This has led to a massive explosion of data produced and consumed every day. The challenge now lies in effectively enforcing privacy policies on such a scale. Privacy at this large a scale needs effective and efficient cryptographic systems to safeguard sensitive information. There has been exponential growth in terms of computing power, which has made cryptanalytic attacks much easier to execute. There have been extraordinary efforts in the domain of cryptography to combat persistent cryptanalysis. One such effort is the development of cryptographic algorithms using chaotic neural networks (CNN). CNN has the potential to overcome the methods used in the existing design methodology for crypto applications.The primitive model of the chaotic system was based on the characteristics of the Chua circuits exhibiting chaos behavior. The primitive models were subjected to rigorous mathematical analysis for evaluation. Chua circuit is the best example of dynamic, nonlinear oscillatory studies constructed with one or more nonlinear and storage elements, often dependent on the initial settings. The appreciable aperiodic behavior makes the chaos theory well suited for research in fields like physics, engineering and medicine.
Intelligent hybrid hand gesture recognition system using deep recurrent neural network with chaos game optimisation
Published in Journal of Experimental & Theoretical Artificial Intelligence, 2023
Jogi John, Shrinivas Deshpande
If the output value is negative, it proceeds with zero. Otherwise, return the same value. Eventually, the ReLU activation function solves the gradient disappearance issue. The ReLU activation function makes the appropriate deeper model. Moreover, proper update of weights helps to solve the gradient disappearance issue. Here, optimal weights are updated by utilising the CGO approach. It is a meta-heuristic optimisation algorithm and is developed based on chaos theory. Chaos theory is an area of mathematics that studies the unique properties of dynamical systems that are particularly sensitive to their starting states.
An Analysis of Theories Supporting Agile Scrum and the Use of Scrum in Systems Engineering
Published in Engineering Management Journal, 2020
The rugby process described by Takeuchi and Nonaka (1986) was codified by Ken Schwaber and Jeff Sutherland into a process they defined as Scrum (Schwaber, 1997). When Scrum was formalized into a process, a relationship to complexity theory was made (Sutherland & Schwaber, 2007). Specifically, the work of Chis Langton (Langton, 1989) was used by Ken Schwaber to illustrate how complex system science supports development teams following an evolutionary approach (Sutherland & Schwaber, 2007). These include relationships to chaos theory and the self-organization principle of complex system science.