By Şuay Nilhan Açıkalın, Şefika Şule Erçetin (auth.), Santo Banerjee, Şefika Şule Erçetin (eds.)
These lawsuits from the 2012 symposium on "Chaos, complexity and management" replicate present learn effects from all branches of Chaos, complicated structures and their purposes in administration. integrated are the varied leads to the fields of utilized nonlinear tools, modeling of information and simulations, in addition to theoretical achievements of Chaos and intricate structures. additionally highlighted are management and administration purposes of Chaos and Complexity Theory.
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Extra resources for Chaos, Complexity and Leadership 2012
Principal component analysis (PCA) aims to explain the variance-covariance structure of a multivariate data with a lower linear combinations of the variables (Hubert et al. 2005). Linear combinations of the variables is called principal components (PCs). PCA is based on variance-covariance (or correlation) matrix. It gives information about the multivariate data set in a multidimensional space. PCA is a factorization of a data matrix X : n p with n observation and p variables, is given by X D TP0 , where P 2 Rp k is an orthogonal matrix and called as the matrix of loading, T 2 Rn k is called as the matrix of score.
Within this scope, we have opened the New York and Sarajevo Offices of Anadolu Agency. We have launched Cairo and Baku Regional Directorates. We will open offices in Nairobi, New Delhi and Jakarta. We have launched Shanghai Regional Directorate. In this context, we aim to open 9 regional directorates around the world and broadcast in 11 languages. We are going to be one of top 5 news agencies in the world when we broadcast in 11 languages, some of are French, German, Persian, Chinese and already broadcasting Russian, Bosnian, Turkish and English and publish 3,501 photos every day.
The other approach is called as ‘information hiding’ and it employs ‘watermarking’, ‘anonymity’, ‘steganography’ and ‘cover channel’ methods to protect the data (Zhang et al. 2005). When the current literature related to using Chaos for image encryption is examined, it can be seen that there are many different ways to design and develop alternative solutions for encryption processes. At this point, it is important that different kinds of data structures, models and mathematical calculations are employed for making encryption approaches more effective, robust and faster.