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Young women are crying out for someone older to care about them, to help them. Older women desire to be useful and productive. Those who have invested years of walking with the Lord themselves desire to be teamed up with this generation of younger women who are yearning for someone to show them how to walk through life with genuine faith in Christ. Transforming Together presents the model for genuine spiritual mentoring through the power and work of Christ in the lives of women faithfully pouring into one another. Women, both young and old, will appreciate the dual focus on the roles of mentor and mentee. Building on real life testimonies and her experience as a committed mentor, Ele Parrott will guide women as they seek to walk with one another to greater faithfulness in Christ.
This book focuses on reversible steganography and authentication via transform encoding, fully discussing in detail the reversibility computation of six transformation techniques: DFT, DCT, wavelets, Z, binomial and grouplet, as well as chaos-based authentication. The book also describes algorithmic approaches based on all transformations along with implementation details and results. Further topics include embedding and extraction into the spatial domain, tuning using GA-based approaches and embedding into imaginary coefficients of the Z domain. Featuring detailed algorithms for encryption and descriptions of all techniques, including embedding techniques for all transform-based steganographic processes, the book also explores the adjustment of pixel values after embedding and presents numerical examples of reversible computations. In the context of chaos-based authentication, it also describes testing the quality of generator is using Monobit, Serial and Poker tests. The book then outlines 15 test cases recommended by NIST fifteen test cases, along with their implementation on six evolutionary algorithms for neural cryptographic systems in the context of wireless computations – TPM, KSOMSCT, DHLPSCT, CHDLPSCT, CTHLPSCT and CGTHLPSCT – and verifies their satisfiability based on the implementations of these six techniques. Lastly it presents various metrics of image processing systems. This book is a valuable reference resource for research scholars, PG/UG students and practicing engineers
This book forms the first part of a complete MSc course in an area that is fundamental to the continuing revolution in information technology and communication systems. Massively exhaustive, authoritative, comprehensive and reinforced with software, this is an introduction to modern methods in the developing field of Digital Signal Processing (DSP). The focus is on the design of algorithms and the processing of digital signals in areas of communications and control, providing the reader with a comprehensive introduction to the underlying principles and mathematical models. Provides an introduction to modern methods in the developing field of Digital Signal Processing (DSP) Focuses on the design of algorithms and the processing of digital signals in areas of communications and control Provides a comprehensive introduction to the underlying principles and mathematical models of Digital Signal Processing
The book, in its Second Edition, continues to provide a comprehensive treatment of signals and systems commencing from an elementary level and going on to a thorough analysis of mathematical tools such as Fourier transform, Laplace transform, Z-transform and Discrete-time Fourier transform. The concepts of convolution and correlation and their relationship have been explained in a clear and lucid manner. Both continuous-time and discrete-time signals and systems have been covered, and thoroughly supported with adequate number of explained examples.The book is intended for the BE/BTech students of Electrical Engineering, Electronics and Communication Engineering, Computer Science and Engineering, Information Communication Technology (ICT), Telecommunication Engineering and Biomedical Engineering. NEW TO THIS EDITION • A new chapter on MATLAB programming for generation of continuous-time and discrete-time series is added. • MATLAB solutions have been given for stability testing of discrete-time systems. • Sections on simple electronic systems realization have been added in existing Chapter 6. • More solved examples, problems and multiple choice questions, have been added in almost every chapter to reinforce the understanding of the theory. AUDIENCE • BE/BTech students of Electrical Engineering, Electronics and Communication Engineering, Computer Science and Engineering, Information Communication Technology (ICT), Telecommunication Engineering and Biomedical Engineering.
Humans stand on the brink of a technological revolution that will fundamentally change the way we live, work, and relate to one another. As digital transformation leaders, we have opportunities to shape that digital future to create both financial value and human value — balancing doing well and doing good. We must lead differently — but how? In this book, the authors introduce a new leadership model that surfaces the critical challenges digital transformation leaders encounter and the human-centered leadership capabilities that can be used to overcome them.Using case studies, business paradigms, and new capability models, this book explores the unique responsibilities of digital transformation leadership within five leadership levels:Digital transformation leaders wrestling with the human issues behind conceiving, developing, and implementing innovation and technology will find a wealth of practical advice, provocative questions, and new thinking about how we lead. How shall we create an equitable digital future for all humans?
Sustainable Consumption: Key Issues provides a concise introduction to the field of sustainable consumption, outlining the contribution of the key disciplines in this multi-disciplinary area, and detailing the way in which both the problem and the potential for solutions are understood. Divided into three parts, the book begins by introducing the concept of sustainable consumption, outlining the environmental impacts of current consumption trends, and placing these impacts in social context. The central section looks at six contrasting explanations of sustainable consumption in the public domain, detailing the stories that are told about why people act in the way they do. This section also explores the theory and evidence around each of these stories, linking them to a range of disciplines and approaches in the social sciences. The final section takes a broader look at the solutions proposed by sustainable consumption scholars and practitioners, outlining the visions of the future that are put forward to counteract damage to environment and society. Each chapter highlights key authors and real-world examples to encourage students to broaden their understanding of the topic and to think critically about how their daily lives intersect with environmental and ethical issues. Exploring the ways in which critical thinking and an understanding of sustainable consumption can be used in daily life as well as in professional practice, this book is essential reading for students, academics, professionals and policy-makers with an interest in this growing field.
Many computionally challenging problems omnipresent in science and engineering exhibit multiscale phenomena so that the task of computing or even representing all scales of action is computationally very expensive unless the multiscale nature of these problems is exploited in a fundamental way. Some diverse examples of practical interest include the computation of fluid turbulence, structural analysis of composite materials, terabyte data mining, image processing, and a multitude of others. This book consists of both invited and contributed articles which address many facets of efficient multiscale representation and scientific computation from varied viewpoints such as hierarchical data representations, multilevel algorithms, algebraic homogeni- zation, and others. This book should be of particular interest to readers interested in recent and emerging trends in multiscale and multiresolution computation with application to a wide range of practical problems.
This comprehensive and engaging textbook introduces the basic principles and techniques of signal processing, from the fundamental ideas of signals and systems theory to real-world applications. Students are introduced to the powerful foundations of modern signal processing, including the basic geometry of Hilbert space, the mathematics of Fourier transforms, and essentials of sampling, interpolation, approximation and compression The authors discuss real-world issues and hurdles to using these tools, and ways of adapting them to overcome problems of finiteness and localization, the limitations of uncertainty, and computational costs. It includes over 160 homework problems and over 220 worked examples, specifically designed to test and expand students' understanding of the fundamentals of signal processing, and is accompanied by extensive online materials designed to aid learning, including Mathematica® resources and interactive demonstrations.
This book constitutes the proceedings of the third International Conference on Data Stream and Mining and Processing, DSMP 2020, held in Lviv, Ukraine*, in August 2020. The 36 full papers presented in this volume were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections of ​hybrid systems of computational intelligence; machine vision and pattern recognition; dynamic data mining & data stream mining; big data & data science using intelligent approaches. *The conference was held virtually due to the COVID-19 pandemic.
This tutorial-style textbook develops the basic mathematical tools needed by first and second year undergraduates to solve problems in the physical sciences. Students gain hands-on experience through hundreds of worked examples, self-test questions and homework problems. Each chapter includes a summary of the main results, definitions and formulae. Over 270 worked examples show how to put the tools into practice. Around 170 self-test questions in the footnotes and 300 end-of-section exercises give students an instant check of their understanding. More than 450 end-of-chapter problems allow students to put what they have just learned into practice. Hints and outline answers to the odd-numbered problems are given at the end of each chapter. Complete solutions to these problems can be found in the accompanying Student Solutions Manual. Fully-worked solutions to all problems, password-protected for instructors, are available at www.cambridge.org/foundation.