A treasury of core teachings for facing life s biggest challenges with peace and equanimity. Topics include the Nature of Suffering, Finding Peace and Joy in a Chaotic World, Faith and Fear Don t Go Together, Natural Disasters, Terrorism, Why Anger Won t Help Us, Facing Death and Loss, Religion Doesn t Teach Violence and Hatred, Comforting Victims of Disaster, How to Pray, What You Can Do. Swami Satchidananda affirms The Future is Bright. Also includes clear instruction in three easy yet powerful stress busters Deep Breathing, Guided Deep
Throughout history there have always been human beings who felt there must be more to life and they sought a higher wisdom or spiritual enlightenment. Many have found themselves in need of someone who has traveled the spiritual path successfully and could guide them toward the understanding they were seeking and to the Guru within. Sri Swami Satchidananda was one of the first Yoga masters to bring the classical Yoga tradition to the West. Invited to America in 1966 by iconic pop artist Peter Max, he taught Yoga postures, meditation, and a compassionate vegetarian lifestyle. In 1969, he opened the Woodstock Festival and became known to an entire generation as "the Woodstock Guru." Swami Satchidananda founded the global Integral Yoga organization, Satchidananda Ashram-Yogaville and the Light Of Truth Universal Shrine (Lotus.org). He is the author of Integral Yoga Hatha, To Know Your Self, The Yoga Sutras of Patanjali, Beyond Words, The Living Gita, and The Golden Present. He is also the subject of the documentary, Living Yoga: The Life and Teachings of Swami Satchidananda. (For more information visit: swamisatchidananda.org).
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data.
EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification. Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizures Encompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchers Provides a number of experimental analyses, with their results discussed and appropriately validated
This book provides a new forum for the dissemination of knowledge in both theoretical and applied research on swarm intelligence (SI) and artificial neural network (ANN). It accelerates interaction between the two bodies of knowledge and fosters a unified development in the next generation of computational model for machine learning. To the best of our knowledge, the integration of SI and ANN is the first attempt to integrate various aspects of both the independent research area into a single volume.
This compact book presents a clear and thorough introduction to the object-oriented paradigm using the C++ language. It introduces the readers to various C++ features that support object-oriented programming (OOP) concepts. In an easy-to-comprehend format, the text teaches how to start and compile a C++ program and discusses the use of C++ in OOP. The book covers the full range of object-oriented topics, from the fundamental features through classes, inheritance, polymorphism, template, exception handling and standard template library. KEY FEATURES • Includes several pictorial descriptions of the concepts to facilitate better understanding. • Offers numerous class-tested programs and examples to show the practical application of theory. • Provides a summary at the end of each chapter to help students in revising all key facts. The book is designed for use as a text by undergraduate students of engineering, undergraduate and postgraduate students of computer applications, and postgraduate students of management.
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