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kostadinov todor pavlov bistatic sar isar fsr theory algorithms and program implementation




Kostadinov Todor Pavlov Bistatic SAR / ISAR / FSR. Theory Algorithms and Program Implementation Kostadinov Todor Pavlov Bistatic SAR / ISAR / FSR. Theory Algorithms and Program Implementation
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Kostadinov Todor Pavlov Bistatic SAR / ISAR / FSR. Theory Algorithms and Program Implementation

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7853.01 руб.
Bistatic radar consists of a radar system which comprises a transmitter and receiver which are separated by a distance comparable to the expected target distance. This book provides a general theoretical description of such bistatic technology in the context of synthetic aperture, inverse synthetic aperture and forward scattering radars from the point of view of analytical geometrical and signal formation as well as processing theory. Signal formation and image reconstruction algorithms are developed with the application of high informative linear frequency and phase code modulating techniques, and numerical experiments that confirm theoretical models are carried out. The authors suggest the program implementation of developed algorithms. A theoretical summary of the latest results in the field of bistatic radars is provided, before applying an analytical geometrical description of scenarios of bistatic synthetic aperture, inverse synthetic aperture and forward scattering radars with cooperative and non-cooperative transmitters. Signal models with linear frequency and phase code modulation are developed, and special phase modulations with C/A (coarse acquisition) and P (precision) of GPS satellite transmitters are considered. The authors suggest Matlab implementations of all geometrical models and signal formation and processing algorithms. Contents 1. Bistatic Synthetic Aperture Radar (BSAR) Survey. 2. BSAR Geometry. 3. BSAR Waveforms and Signal Models. 4. BSAR Image Reconstruction Algorithms. 5. Analytical Geometrical Determination of BSAR Resolution. 6. BSAR Experimental Results. 7. BSAR Matlab Implementation. A general theoretical description of bistatic technology within the scope of synthetic aperture, inverse synthetic aperture and forward scattering radars from the point of view of analytical geometrical and signal formation and processing theory. Signal formation and image reconstruction algorithms are developed in this title, with application of high informative linear frequency and phase code modulating techniques. Numerical experiments that confirm theoretical models are carried out and the authors suggest program implementation for the algorithms developed.
Xiaolan Qiu Bistatic SAR Data Processing Algorithms Xiaolan Qiu Bistatic SAR Data Processing Algorithms
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Xiaolan Qiu Bistatic SAR Data Processing Algorithms

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11998.84 руб.
Synthetic Aperture Radar (SAR) is critical for remote sensing. It works day and night, in good weather or bad. Bistatic SAR is a new kind of SAR system, where the transmitter and receiver are placed on two separate platforms. Bistatic SAR is one of the most important trends in SAR development, as the technology renders SAR more flexible and safer when used in military environments. Imaging is one of the most difficult and important aspects of bistatic SAR data processing. Although traditional SAR signal processing is fully developed, bistatic SAR has a more complex system structure, so signal processing is more challenging. Focusing on imaging aspects of bistatic SAR signal processing, this book covers resolution analysis, echo generation methods, imaging algorithms, imaging parameter estimation, and motion compensation methods. The book is ideal for researchers and engineers in SAR signal and data processing, as well as those working in bistatic and multistatic radar imaging, and in the radar sciences. Graduate students with a background in radar who are interested in bistatic and multistatic radar will find this book a helpful reference. Gives a general and updated framework for image formation using signal processing aspects Starts with an introduction to traditional SAR before moving on to more advanced topics Offers readers a range of exhaustive tools to process signals and form images Provides a solid reference for the imaging of other complicated SAR Sample image synthesis exercises are available from the book's companion site
Rogers Patricia J. Purposeful Program Theory. Effective Use of Theories of Change and Logic Models Rogers Patricia J. Purposeful Program Theory. Effective Use of Theories of Change and Logic Models
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Rogers Patricia J. Purposeful Program Theory. Effective Use of Theories of Change and Logic Models

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7001.2 руб.
Between good intentions and great results lies a program theory—not just a list of tasks but a vision of what needs to happen, and how. Now widely used in government and not-for-profit organizations, program theory provides a coherent picture of how change occurs and how to improve performance. Purposeful Program Theory shows how to develop, represent, and use program theory thoughtfully and strategically to suit your particular situation, drawing on the fifty-year history of program theory and the authors' experiences over more than twenty-five years. «From needs assessment to intervention design, from implementation to outcomes evaluation, from policy formulation to policy execution and evaluation, program theory is paramount. But until now no book has examined these multiple uses of program theory in a comprehensive, understandable, and integrated way. This promises to be a breakthrough book, valuable to practitioners, program designers, evaluators, policy analysts, funders, and scholars who care about understanding why an intervention works or doesn't work.» —Michael Quinn Patton, author, Utilization-Focused Evaluation «Finally, the definitive guide to evaluation using program theory! Far from the narrow 'one true way' approaches to program theory, this book provides numerous practical options for applying program theory to fulfill different purposes and constraints, and guides the reader through the sound critical thinking required to select from among the options. The tour de force of the history and use of program theory is a truly global view, with examples from around the world and across the full range of content domains. A must-have for any serious evaluator.» —E. Jane Davidson, PhD, Real Evaluation Ltd. Companion Web site: josseybass.com/go/funnellrogers
Jacob Benesty Acoustic Array Systems. Theory, Implementation, and Application Jacob Benesty Acoustic Array Systems. Theory, Implementation, and Application
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Jacob Benesty Acoustic Array Systems. Theory, Implementation, and Application

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11623.19 руб.
Presents a unified framework of far-field and near-field array techniques for noise source identification and sound field visualization, from theory to application. Acoustic Array Systems: Theory, Implementation, and Application provides an overview of microphone array technology with applications in noise source identification and sound field visualization. In the comprehensive treatment of microphone arrays, the topics covered include an introduction to the theory, far-field and near-field array signal processing algorithms, practical implementations, and common applications: vehicles, computing and communications equipment, compressors, fans, and household appliances, and hands-free speech. The author concludes with other emerging techniques and innovative algorithms. Encompasses theoretical background, implementation considerations and application know-how Shows how to tackle broader problems in signal processing, control, and transudcers Covers both farfield and nearfield techniques in a balanced way Introduces innovative algorithms including equivalent source imaging (NESI) and high-resolution nearfield arrays Selected code examples available for download for readers to practice on their own Presentation slides available for instructor use A valuable resource for Postgraduates and researchers in acoustics, noise control engineering, audio engineering, and signal processing.
Jodi Sandfort Effective Implementation In Practice. Integrating Public Policy and Management Jodi Sandfort Effective Implementation In Practice. Integrating Public Policy and Management
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Jodi Sandfort Effective Implementation In Practice. Integrating Public Policy and Management

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5286.18 руб.
A unique approach to policy implementation with essential guidance and useful tools Effective Implementation in Practice: Integrating Public Policy and Management presents an instrumental approach to implementation analysis. By spanningpolicy fields, organizations, and frontline conditions in implementation systems, this book provides a robust foundation for policy makers, public and nonprofit managers and leaders. Detailed case studies enable readers to identify key intervention points, become more strategic, and improve outcomes. The engaging style and specific examples provide a bridge to practice, while diagrams, worksheets, and other tools included in the appendix help managers apply these ideas to team meetings, operational planning, and program assessment and refinement. Policy and program implementation is fraught with challenges as public and nonprofit leaders juggle organizational missions and stakeholder expectations while managing policy and program impact and effectiveness. Using their own experience in practice, teaching, and research, the authors empower policy and program implementers to recognize their essential roles within the workplace and help them cultivate the analytical and social skills necessary to change. Understand how program or policy technology constitutes the core of implementation Study a conceptual framework encompassing power dynamics, culture, relationships in the field and the rules that are operating during program and policy implementation Discover a multilevel approach that identifies key points of strategic action at various levels and settings of the implementation system and assesses implementation success The integration of policy and management mindsets gives readers an insightful yet accessible understanding of implementation, allowing them to achieve the potent results desired by the public. For those in senior positions at federal agencies to local staff at nonprofit organizations, Effective Implementation in Practice: Integrating Public Policy and Management provides an invaluable one-stop resource.
Dan Simon Evolutionary Optimization Algorithms Dan Simon Evolutionary Optimization Algorithms
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Dan Simon Evolutionary Optimization Algorithms

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9973.3 руб.
A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant colonies. This book discusses the theory, history, mathematics, and programming of evolutionary optimization algorithms. Featured algorithms include genetic algorithms, genetic programming, ant colony optimization, particle swarm optimization, differential evolution, biogeography-based optimization, and many others. Evolutionary Optimization Algorithms: Provides a straightforward, bottom-up approach that assists the reader in obtaining a clear—but theoretically rigorous—understanding of evolutionary algorithms, with an emphasis on implementation Gives a careful treatment of recently developed EAs—including opposition-based learning, artificial fish swarms, bacterial foraging, and many others— and discusses their similarities and differences from more well-established EAs Includes chapter-end problems plus a solutions manual available online for instructors Offers simple examples that provide the reader with an intuitive understanding of the theory Features source code for the examples available on the author's website Provides advanced mathematical techniques for analyzing EAs, including Markov modeling and dynamic system modeling Evolutionary Optimization Algorithms: Biologically Inspired and Population-Based Approaches to Computer Intelligence is an ideal text for advanced undergraduate students, graduate students, and professionals involved in engineering and computer science.
Xu Feng Polarimetric Scattering and SAR Information Retrieval Xu Feng Polarimetric Scattering and SAR Information Retrieval
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Xu Feng Polarimetric Scattering and SAR Information Retrieval

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11668.66 руб.
Taking an innovative look at Synthetic Aperture Radar (SAR), this practical reference fully covers new developments in SAR and its various methodologies and enables readers to interpret SAR imagery An essential reference on polarimetric Synthetic Aperture Radar (SAR), this book uses scattering theory and radiative transfer theory as a basis for its treatment of topics. It is organized to include theoretical scattering models and SAR data analysis techniques, and presents cutting-edge research on theoretical modelling of terrain surface. The book includes quantitative approaches for remote sensing, such as the analysis of the Mueller matrix solution of random media, mono-static and bistatic SAR image simulation. It also covers new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, reconstruction of building objects from multi-aspect SAR images, and polarimetric pulse echoes from multi-layering scatter media. Structured to encourage methodical learning, earlier chapters cover core material, whilst later sections involve more advanced new topics which are important for researchers. The final chapter completes the book as a reference by covering SAR interferometry, a core topic in the remote sensing community. Features theoretical scattering models and SAR data analysis techniques Explains the simulation of SAR images for mono- and bi-static radars, covering both qualitative and quantitative information retrieval Chapter topics include: theoretical scattering models; SAR data analysis and processing techniques; and theoretical quantitative simulation reconstruction and inversion techniques Structured to enable both academic learning and independent study, laying down the foundations first of all before advancing to more complex topics Experienced author team presents mathematical derivations and figures so that they are easy for readers to understand Pitched at graduate-level students in electrical engineering, physics, earth and space sciences, as well as researchers MATLAB code available for readers to run their own routines An invaluable reference for research scientists, engineers and scientists working on polarimetric SAR hardware and software, Application developers of SAR and polarimetric SAR, remote sensing specialists working with SAR data – using ESA.
Xianchuan Yu Blind Source Separation. Theory and Applications Xianchuan Yu Blind Source Separation. Theory and Applications
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Xianchuan Yu Blind Source Separation. Theory and Applications

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14022.96 руб.
A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible style. This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field. A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies Presents new improved algorithms aimed at different applications, such as image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition, and MRI medical image processing With applications in geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition Written by an expert team with accredited innovations in blind source separation and its applications in natural science Accompanying website includes a software system providing codes for most of the algorithms mentioned in the book, enhancing the learning experience Essential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.
Tzi-Dar Chiueh Baseband Receiver Design for Wireless MIMO-OFDM Communications Tzi-Dar Chiueh Baseband Receiver Design for Wireless MIMO-OFDM Communications
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Tzi-Dar Chiueh Baseband Receiver Design for Wireless MIMO-OFDM Communications

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14772.84 руб.
The Second Edition of OFDM Baseband Receiver Design for Wirless Communications, this book expands on the earlier edition with enhanced coverage of MIMO techniques, additional baseband algorithms, and more IC design examples. The authors cover the full range of OFDM technology, from theories and algorithms to architectures and circuits. The book gives a concise yet comprehensive look at digital communication fundamentals before explaining signal processing algorithms in receivers. The authors give detailed treatment of hardware issues – from architecture to IC implementation. Links OFDM and MIMO theory with hardware implementation Enables the reader to transfer communication received concepts into hardware; design wireless receivers with acceptable implemntation loss; achieve low-power designs Covers the latest standards, such as DVB-T2, WiMax, LTE and LTE-A Includes more baseband algorithms, like soft-decoding algorithms such as BCJR and SOVA Expanded treatment of channel models, detection algorithms and MIMO techniques Features concrete design examples of WiMAX systems and cognitive radio apllications Companion website with lecture slides for instructors Based on materials developed for a course in digital communication IC design, this book is ideal for graduate students and researchers in VLSI design, wireless communications, and communications signal processing. Practicing engineers working on algorithms or hardware for wireless communications devices will also find this to be a key reference.
Muriel Harris J. Evaluating Public and Community Health Programs Muriel Harris J. Evaluating Public and Community Health Programs
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Muriel Harris J. Evaluating Public and Community Health Programs

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6748.95 руб.
A practical introduction to participatory program evaluation Evaluating Public and Community Health Programs provides a comprehensive introduction to the theory and practice of evaluation, with a participatory model that brings stakeholders together for the good of the program. Linking community assessment, program implementation, and program evaluation, this book emphasizes practical, ongoing evaluation strategies that connect theory with application. This updated second edition includes new discussion on planning policy change programs using logic models and theory of change, plus expanded coverage of processes, outcomes, data collection, and more. Each chapter includes classroom activities and group discussion prompts, and the companion website provides worksheets, lecture slides, and a test bank for instructors. Mini cases help illustrate the real-world applications of the methods described, and expanded case studies allow students to dig deeper into practice and apply what they've learned. Accurate and effective evaluation is the key to a successful program. This book provides a thorough introduction to all aspects of this critical function, with a wealth of opportunities to apply new concepts. Learn evaluation strategies that involve all program stakeholders Link theory to practice with new mini cases and examples Understand the uses, processes, and approaches to evaluation Discover how ongoing evaluation increases program effectiveness Public and community health programs are a vital part of our social infrastructure, and the more effective they are, the more people they can serve. Proper planning is important, but continued evaluation is what keeps a program on track for the long term. Evaluating Public and Community Health Programs provides clear instruction and insightful discussion on the many facets of evaluation, with a central focus on real-world service.
James Nutaro J. Building Software for Simulation. Theory and Algorithms, with Applications in C++ James Nutaro J. Building Software for Simulation. Theory and Algorithms, with Applications in C++
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James Nutaro J. Building Software for Simulation. Theory and Algorithms, with Applications in C++

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10346.21 руб.
A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. The book approaches the topic from the perspective of Zeigler's theory of modeling and simulation, introducing the theory's fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: Working with fundamental abstractions for simulating dynamic systems Developing basic simulation algorithms for continuous and discrete event models Combining continuous and discrete event simulations into a coherent whole Applying strategies for testing a simulation Understanding the theoretical foundations of the modeling constructs and simulation algorithms The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools.
Alexander Papusha N. Beam Theory for Subsea Pipelines. Analysis and Practical Applications Alexander Papusha N. Beam Theory for Subsea Pipelines. Analysis and Practical Applications
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Alexander Papusha N. Beam Theory for Subsea Pipelines. Analysis and Practical Applications

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14623.43 руб.
Introducing a new practical approach within the field of applied mechanics developed to solve beam strength and bending problems using classical beam theory and beam modeling, this outstanding new volume offers the engineer, scientist, or student a revolutionary new approach to subsea pipeline design. Integrating use of the Mathematica program into these models and designs, the engineer can utilize this unique approach to build stronger, more efficient and less costly subsea pipelines, a very important phase of the world's energy infrastructure. Significant advances have been achieved in implementation of the applied beam theory in various engineering design technologies over the last few decades, and the implementation of this theory also takes an important place within the practical area of re-qualification and reassessment for onshore and offshore pipeline engineering. A general strategy of applying beam theory into the design procedure of subsea pipelines has been developed and already incorporated into the ISO guidelines for reliability-based limit state design of pipelines. This work is founded on these significant advances. The intention of the book is to provide the theory, research, and practical applications that can be used for educational purposes by personnel working in offshore pipeline integrity and engineering students. A must-have for the veteran engineer and student alike, this volume is an important new advancement in the energy industry, a strong link in the chain of the world's energy production.
Xin-She Yang Engineering Optimization. An Introduction with Metaheuristic Applications Xin-She Yang Engineering Optimization. An Introduction with Metaheuristic Applications
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Xin-She Yang Engineering Optimization. An Introduction with Metaheuristic Applications

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11590.87 руб.
An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.
C. Shetty M. Solutions Manual to accompany Nonlinear Programming. Theory and Algorithms C. Shetty M. Solutions Manual to accompany Nonlinear Programming. Theory and Algorithms
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C. Shetty M. Solutions Manual to accompany Nonlinear Programming. Theory and Algorithms

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2399.77 руб.
As the Solutions Manual, this book is meant to accompany the main title, Nonlinear Programming: Theory and Algorithms, Third Edition. This book presents recent developments of key topics in nonlinear programming (NLP) using a logical and self-contained format. The volume is divided into three sections: convex analysis, optimality conditions, and dual computational techniques. Precise statements of algortihms are given along with convergence analysis. Each chapter contains detailed numerical examples, graphical illustrations, and numerous exercises to aid readers in understanding the concepts and methods discussed.
Ludmila Naumova NP=P? Algorithms for solving NP-problems by matrix method in Scilab program Ludmila Naumova NP=P? Algorithms for solving NP-problems by matrix method in Scilab program
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Ludmila Naumova NP=P? Algorithms for solving NP-problems by matrix method in Scilab program

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120 руб.
We know the problems of combinatorics, such as the problem of permutations, combinations, placement, represented by the corresponding formulas. But these formulas only give us the number of solutions, not the solutions themselves. There were no common standard algorithms for solving these types of problems. These types of problems with large numbers can be referred to NP problems. But with the help of Scilab program typical algorithms of such problems are revealed and solutions are given.
Igor Ushakov A. Optimal Resource Allocation. With Practical Statistical Applications and Theory Igor Ushakov A. Optimal Resource Allocation. With Practical Statistical Applications and Theory
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Igor Ushakov A. Optimal Resource Allocation. With Practical Statistical Applications and Theory

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7573.53 руб.
A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems. Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features: An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection The applied methods of optimization with various methods of optimal redundancy problem solutions as well as the numerical examples and statistical methods needed to solve the problems Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms Optimal Resource Allocation is a must-have guide for electrical, mechanical, and reliability engineers dealing with engineering design and optimal reliability problems. In addition, the book is excellent for graduate and PhD-level courses in reliability theory and optimization.
Carl Fertman I. Health Promotion Programs. From Theory to Practice Carl Fertman I. Health Promotion Programs. From Theory to Practice
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Carl Fertman I. Health Promotion Programs. From Theory to Practice

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6374.01 руб.
Health Promotion Programs introduces the theory of health promotion and presents an overview of current best practices from a wide variety of settings that include schools, health care organizations, workplace, and community. The 43 contributors to Health Promotion Programs focus on students and professionals interested in planning, implementing, and evaluating programs that promote health equity. In addition to the focus on best practices, each chapter contains information on: Identifying health promotion programs Eliminating health disparities Defining and applying health promotion theories and models Assessing the needs of program participants Creating and supporting evidence-based programs Implementing health promotion programs: Tools, program staff, and budgets Advocacy Communicating health information effectively Developing and increasing program funding Evaluating, improving, and sustaining health promotion programs Health promotion challenges and opportunities Health promotion resources and career links «The authors have clearly connected the dots among planning, theory, evaluation, health disparity, and advocacy, and have created a user-friendly toolbox for health promotion empowerment.»—Ronald L. Braithwaite, PhD, professor, Morehouse School of Medicine, Departments of Community Health and Preventive Medicine, Family Medicine, and Psychiatry «The most comprehensive program planning text to date, this book examines all facets of planning and implementation across four key work environments where health educators function.»—Mal Goldsmith, PhD, CHES, professor and coordinator of Health Education, Southern Illinois University, Edwardsville «Health Promotion Programs . . . . explores the thinking of some of our field's leaders and confirms its well-deserved place in the field and in our personal collections.»—Susan M. Radius, PhD, CHES, professor and program director, Health Science Department, Towson University
Vijay Garg K. Introduction to Lattice Theory with Computer Science Applications Vijay Garg K. Introduction to Lattice Theory with Computer Science Applications
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Vijay Garg K. Introduction to Lattice Theory with Computer Science Applications

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7123.89 руб.
A computational perspective on partial order and lattice theory, focusing on algorithms and their applications This book provides a uniform treatment of the theory and applications of lattice theory. The applications covered include tracking dependency in distributed systems, combinatorics, detecting global predicates in distributed systems, set families, and integer partitions. The book presents algorithmic proofs of theorems whenever possible. These proofs are written in the calculational style advocated by Dijkstra, with arguments explicitly spelled out step by step. The author’s intent is for readers to learn not only the proofs, but the heuristics that guide said proofs. Introduction to Lattice Theory with Computer Science Applications: Examines; posets, Dilworth’s theorem, merging algorithms, lattices, lattice completion, morphisms, modular and distributive lattices, slicing, interval orders, tractable posets, lattice enumeration algorithms, and dimension theory Provides end of chapter exercises to help readers retain newfound knowledge on each subject Includes supplementary material at www.ece.utexas.edu/~garg Introduction to Lattice Theory with Computer Science Applications is written for students of computer science, as well as practicing mathematicians.
Kagan Eugene Probabilistic Search for Tracking Targets. Theory and Modern Applications Kagan Eugene Probabilistic Search for Tracking Targets. Theory and Modern Applications
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Kagan Eugene Probabilistic Search for Tracking Targets. Theory and Modern Applications

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8790.39 руб.
Presents a probabilistic and information-theoretic framework for a search for static or moving targets in discrete time and space. Probabilistic Search for Tracking Targets uses an information-theoretic scheme to present a unified approach for known search methods to allow the development of new algorithms of search. The book addresses search methods under different constraints and assumptions, such as search uncertainty under incomplete information, probabilistic search scheme, observation errors, group testing, search games, distribution of search efforts, single and multiple targets and search agents, as well as online or offline search schemes. The proposed approach is associated with path planning techniques, optimal search algorithms, Markov decision models, decision trees, stochastic local search, artificial intelligence and heuristic information-seeking methods. Furthermore, this book presents novel methods of search for static and moving targets along with practical algorithms of partitioning and search and screening. Probabilistic Search for Tracking Targets includes complete material for undergraduate and graduate courses in modern applications of probabilistic search, decision-making and group testing, and provides several directions for further research in the search theory. The authors: Provide a generalized information-theoretic approach to the problem of real-time search for both static and moving targets over a discrete space. Present a theoretical framework, which covers known information-theoretic algorithms of search, and forms a basis for development and analysis of different algorithms of search over probabilistic space. Use numerous examples of group testing, search and path planning algorithms to illustrate direct implementation in the form of running routines. Consider a relation of the suggested approach with known search theories and methods such as search and screening theory, search games, Markov decision process models of search, data mining methods, coding theory and decision trees. Discuss relevant search applications, such as quality-control search for nonconforming units in a batch or a military search for a hidden target. Provide an accompanying website featuring the algorithms discussed throughout the book, along with practical implementations procedures.
Pierre Borne Optimization in Engineering Sciences. Exact Methods Pierre Borne Optimization in Engineering Sciences. Exact Methods
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Pierre Borne Optimization in Engineering Sciences. Exact Methods

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11994.57 руб.
The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the European Union project – ERRIC (Empowering Romanian Research on Intelligent Information Technologies), funded by the EU’s FP7 Research Potential program and developed in cooperation between French and Romanian teaching researchers. Through the principles of various proposed algorithms (with additional references) this book allows the interested reader to explore various methods of implementation such as linear programming, nonlinear programming – particularly important given the wide variety of existing algorithms, dynamic programming with various application examples and Hopfield networks. The book examines optimization in relation to systems identification; optimization of dynamic systems with particular application to process control; optimization of large scale and complex systems; optimization and information systems.
Ali Moukadem Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals. The Stockwell Transform Applied on Bio-signals and Electric Signals Ali Moukadem Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals. The Stockwell Transform Applied on Bio-signals and Electric Signals
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Ali Moukadem Time-Frequency Domain for Segmentation and Classification of Non-stationary Signals. The Stockwell Transform Applied on Bio-signals and Electric Signals

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5698.83 руб.
This book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which are able to extract information from non-stationary signals such as heart sounds and power electric signals. The methods proposed focus on the time-frequency domain, and most notably the Stockwell Transform for the feature extraction process and to identify signatures. For the classification method, the Adaline Neural Network is used and compared with other common classifiers. Theory enhancement, original applications and concrete implementation on FPGA for real-time processing are also covered in this book.
декор настенный 15х40 TODOR жемчуг, бежевый декор настенный 15х40 TODOR жемчуг, бежевый
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декор настенный 15х40 TODOR жемчуг, бежевый

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170 руб.
TODOR (бежевый)Размер: 15х40х0,85см.Рисунок: жемчуг
Chongmin Song The Scaled Boundary Finite Element Method. Introduction to Theory and Implementation Chongmin Song The Scaled Boundary Finite Element Method. Introduction to Theory and Implementation
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Chongmin Song The Scaled Boundary Finite Element Method. Introduction to Theory and Implementation

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9075.63 руб.
An informative look at the theory, computer implementation, and application of the scaled boundary finite element method This reliable resource, complete with MATLAB, is an easy-to-understand introduction to the fundamental principles of the scaled boundary finite element method. It establishes the theory of the scaled boundary finite element method systematically as a general numerical procedure, providing the reader with a sound knowledge to expand the applications of this method to a broader scope. The book also presents the applications of the scaled boundary finite element to illustrate its salient features and potentials. The Scaled Boundary Finite Element Method: Introduction to Theory and Implementation covers the static and dynamic stress analysis of solids in two and three dimensions. The relevant concepts, theory and modelling issues of the scaled boundary finite element method are discussed and the unique features of the method are highlighted. The applications in computational fracture mechanics are detailed with numerical examples. A unified mesh generation procedure based on quadtree/octree algorithm is described. It also presents examples of fully automatic stress analysis of geometric models in NURBS, STL and digital images. Written in lucid and easy to understand language by the co-inventor of the scaled boundary element method Provides MATLAB as an integral part of the book with the code cross-referenced in the text and the use of the code illustrated by examples Presents new developments in the scaled boundary finite element method with illustrative examples so that readers can appreciate the significant features and potentials of this novel method—especially in emerging technologies such as 3D printing, virtual reality, and digital image-based analysis The Scaled Boundary Finite Element Method: Introduction to Theory and Implementation is an ideal book for researchers, software developers, numerical analysts, and postgraduate students in many fields of engineering and science.
Rodney Hopson Building a New Generation of Culturally Responsive Evaluators Through AEA's Graduate Education Diversity Internship Program. New Directions for Evaluation, Number 143 Rodney Hopson Building a New Generation of Culturally Responsive Evaluators Through AEA's Graduate Education Diversity Internship Program. New Directions for Evaluation, Number 143
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This issue coincides with the 10th anniversary of the American Evaluation Association’s (AEA’s) Graduate Education Diversity Internship (GEDI) program. It emphasize core decisions and developments of the GEDI program and feature key participants who have participated in and contributed to the development and implementation of the program. Together, the chapters focus on: Factors that contributed to the design and organization of the program Critical components and aspects of the program that guide its implementation, characterized by the leadership training, mentorship and professional socialization, and the practical project placements Lessons learned, which reveal the opportunities and challenges of expanding pipelines and pathways of diversity and social justice through professional associations. This is the 143rd issue in the New Directions for Evaluation series from Jossey-Bass. It is an official publication of the American Evaluation Association.
Alejandro Aragón-Zavala Indoor Wireless Communications. From Theory to Implementation Alejandro Aragón-Zavala Indoor Wireless Communications. From Theory to Implementation
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Indoor Wireless Communications: From Theory to Implementation provides an in-depth reference for design engineers, system planners and post graduate students interested in the vastly popular field of indoor wireless communications. It contains wireless applications and services for in-building scenarios and knowledge of key elements in the design and implementation of these systems. Technologies such as Wireless Local Area Networks, Bluetooth, ZigBee, Indoor Optical Communications, WiMAX, UMTS and GSM for indoor environments are fully explained and illustrated with examples. Antennas and propagation issues for in-building scenarios are also discussed, emphasizing models and antenna types specifically developed for indoor communications. An exhaustive survey on indoor wireless communication equipment is also presented, covering all available technologies including antennas, distribution systems, transceivers and base stations.
Stanislaw H. Zak An Introduction to Optimization Stanislaw H. Zak An Introduction to Optimization
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Praise for the Third Edition «. . . guides and leads the reader through the learning path . . . [e]xamples are stated very clearly and the results are presented with attention to detail.» —MAA Reviews Fully updated to reflect new developments in the field, the Fourth Edition of Introduction to Optimization fills the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic definitions and notations are provided in addition to the related fundamental background for linear algebra, geometry, and calculus. This new edition explores the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. The authors also present an optimization perspective on global search methods and include discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm. Featuring an elementary introduction to artificial neural networks, convex optimization, and multi-objective optimization, the Fourth Edition also offers: A new chapter on integer programming Expanded coverage of one-dimensional methods Updated and expanded sections on linear matrix inequalities Numerous new exercises at the end of each chapter MATLAB exercises and drill problems to reinforce the discussed theory and algorithms Numerous diagrams and figures that complement the written presentation of key concepts MATLAB M-files for implementation of the discussed theory and algorithms (available via the book's website) Introduction to Optimization, Fourth Edition is an ideal textbook for courses on optimization theory and methods. In addition, the book is a useful reference for professionals in mathematics, operations research, electrical engineering, economics, statistics, and business.
Pierre Baudin Wireless Transceiver Architecture. Bridging RF and Digital Communications Pierre Baudin Wireless Transceiver Architecture. Bridging RF and Digital Communications
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A fully comprehensive reference combining digital communications and RFIC (Radio Frequency Integrated Circuits) in one complete volume There are many books which focus on the physical implementation of the RF/analog part of transceivers, such as the CMOS design, or the signal processing involved in digital communications. However, there is little material dedicated to transceiver architecture and system design. Similarly, much of the existing literature looks at concepts useful for dimensioning, yet offers little practical information on how to proceed for dimensioning a line-up from scratch, and on the reasons for proceeding that way. This book redresses the balance by explaining the architecture of transceivers and their dimensioning from the perspective of a RFIC architect from within industry. It bridges the gap between digital communication systems and radiofrequency integrated circuit design, covering wireless transceiver architecture and system design from both system level and circuit designer aspects. • Covers digital communication theory, electromagnetism theory and wireless networks organization, from theories to implementation, for deriving the minimum set of constraints to be fulfilled by transceivers • Details the limitations in the physical implementation of transceivers to be considered for their dimensioning, in terms of noise, nonlinearity, and RF impairments • Presents transceiver architecture and system design in terms of transceivers budgets, transceivers architectures, and algorithms for transceivers
Paul Gagniuc A. Markov Chains. From Theory to Implementation and Experimentation Paul Gagniuc A. Markov Chains. From Theory to Implementation and Experimentation
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A fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains approaches the subject along the four convergent lines of mathematics, implementation, simulation, and experimentation. It introduces readers to the art of stochastic modeling, shows how to design computer implementations, and provides extensive worked examples with case studies. Markov Chains: From Theory to Implementation and Experimentation begins with a general introduction to the history of probability theory in which the author uses quantifiable examples to illustrate how probability theory arrived at the concept of discrete-time and the Markov model from experiments involving independent variables. An introduction to simple stochastic matrices and transition probabilities is followed by a simulation of a two-state Markov chain. The notion of steady state is explored in connection with the long-run distribution behavior of the Markov chain. Predictions based on Markov chains with more than two states are examined, followed by a discussion of the notion of absorbing Markov chains. Also covered in detail are topics relating to the average time spent in a state, various chain configurations, and n-state Markov chain simulations used for verifying experiments involving various diagram configurations. • Fascinating historical notes shed light on the key ideas that led to the development of the Markov model and its variants • Various configurations of Markov Chains and their limitations are explored at length • Numerous examples—from basic to complex—are presented in a comparative manner using a variety of color graphics • All algorithms presented can be analyzed in either Visual Basic, Java Script, or PHP • Designed to be useful to professional statisticians as well as readers without extensive knowledge of probability theory Covering both the theory underlying the Markov model and an array of Markov chain implementations, within a common conceptual framework, Markov Chains: From Theory to Implementation and Experimentation is a stimulating introduction to and a valuable reference for those wishing to deepen their understanding of this extremely valuable statistical tool. Paul A. Gagniuc, PhD, is Associate Professor at Polytechnic University of Bucharest, Romania. He obtained his MS and his PhD in genetics at the University of Bucharest. Dr. Gagniuc’s work has been published in numerous high profile scientific journals, ranging from the Public Library of Science to BioMed Central and Nature journals. He is the recipient of several awards for exceptional scientific results and a highly active figure in the review process for different scientific areas.
Donald Reay S. Digital Signal Processing and Applications with the OMAP - L138 eXperimenter Donald Reay S. Digital Signal Processing and Applications with the OMAP - L138 eXperimenter
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Teaches digital signal processing concepts via hands-on examples The OMAP-L138 eXperimenter is the latest inexpensive DSP development system to be adopted by the Texas Instruments University Program. The OMAP-L138 processor contains both ARM and DSP cores and is aimed at portable and mobile multimedia applications. This book concentrates on the demonstration of real-time DSP algorithms implemented on its C6748 DSP core. Digital Signal Processing and Applications with the OMAP-L138 eXperimenter provides an extensive and comprehensive set of program examples to aid instructors in teaching DSP in a laboratory using audio frequency signals—making it an ideal text for DSP courses at senior undergraduate and postgraduate levels. Subjects covered include polling-based, interrupt-based, and DMA-based I/O methods, and how real-time programs may be run using the board support library (BSL), the DSP/BIOS real-time operating system, or the DSP/BIOS Platform Support Package. Chapters include: Analog input and output with the OMAP-L138 eXperimenter Finite impulse response filters Infinite impulse response filters Fast Fourier transform Adaptive filters DSP/BIOS and platform support package Each chapter begins with a review of background theory and then presents a number of real-time program examples to reinforce understanding of that theory and to demonstrate the use of the OMAP-L138 eXperimenter and Texas Instruments Code Composer Studio integrated development environment.
Cirrincione Giansalvo Neural-Based Orthogonal Data Fitting. The EXIN Neural Networks Cirrincione Giansalvo Neural-Based Orthogonal Data Fitting. The EXIN Neural Networks
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The presentation of a novel theory in orthogonal regression The literature about neural-based algorithms is often dedicated to principal component analysis (PCA) and considers minor component analysis (MCA) a mere consequence. Breaking the mold, Neural-Based Orthogonal Data Fitting is the first book to start with the MCA problem and arrive at important conclusions about the PCA problem. The book proposes several neural networks, all endowed with a complete theory that not only explains their behavior, but also compares them with the existing neural and traditional algorithms. EXIN neurons, which are of the authors' invention, are introduced, explained, and analyzed. Further, it studies the algorithms as a differential geometry problem, a dynamic problem, a stochastic problem, and a numerical problem. It demonstrates the novel aspects of its main theory, including its applications in computer vision and linear system identification. The book shows both the derivation of the TLS EXIN from the MCA EXIN and the original derivation, as well as: Shows TLS problems and gives a sketch of their history and applications Presents MCA EXIN and compares it with the other existing approaches Introduces the TLS EXIN neuron and the SCG and BFGS acceleration techniques and compares them with TLS GAO Outlines the GeTLS EXIN theory for generalizing and unifying the regression problems Establishes the GeMCA theory, starting with the identification of GeTLS EXIN as a generalization eigenvalue problem In dealing with mathematical and numerical aspects of EXIN neurons, the book is mainly theoretical. All the algorithms, however, have been used in analyzing real-time problems and show accurate solutions. Neural-Based Orthogonal Data Fitting is useful for statisticians, applied mathematics experts, and engineers.
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A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and evolutionary algorithms and presents discussions and assessments of their performance in solving optimization problems from several fields of engineering. The book features clear and concise principles and presents detailed descriptions of leading methods such as the pattern search (PS) algorithm, the genetic algorithm (GA), the simulated annealing (SA) algorithm, the Tabu search (TS) algorithm, the ant colony optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering Optimization provides an overview of optimization and defines it by presenting examples of optimization problems in different engineering domains. Chapter 2 presents an introduction to meta-heuristic and evolutionary algorithms and links them to engineering problems. Chapters 3 to 22 are each devoted to a separate algorithm— and they each start with a brief literature review of the development of the algorithm, and its applications to engineering problems. The principles, steps, and execution of the algorithms are described in detail, and a pseudo code of the algorithm is presented, which serves as a guideline for coding the algorithm to solve specific applications. This book: Introduces state-of-the-art metaheuristic algorithms and their applications to engineering optimization; Fills a gap in the current literature by compiling and explaining the various meta-heuristic and evolutionary algorithms in a clear and systematic manner; Provides a step-by-step presentation of each algorithm and guidelines for practical implementation and coding of algorithms; Discusses and assesses the performance of metaheuristic algorithms in multiple problems from many fields of engineering; Relates optimization algorithms to engineering problems employing a unifying approach. Meta-heuristic and Evolutionary Algorithms for Engineering Optimization is a reference intended for students, engineers, researchers, and instructors in the fields of industrial engineering, operations research, optimization/mathematics, engineering optimization, and computer science. OMID BOZORG-HADDAD, PhD, is Professor in the Department of Irrigation and Reclamation Engineering at the University of Tehran, Iran. MOHAMMAD SOLGI, M.Sc., is Teacher Assistant for M.Sc. courses at the University of Tehran, Iran. HUGO A. LOÁICIGA, PhD, is Professor in the Department of Geography at the University of California, Santa Barbara, United States of America.
Zhechen Zhu Automatic Modulation Classification. Principles, Algorithms and Applications Zhechen Zhu Automatic Modulation Classification. Principles, Algorithms and Applications
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Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book
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Covers the theory and applications of using weak form theory in incompressible fluid-thermal sciences Giving you a solid foundation on the Galerkin finite-element method (FEM), this book promotes the use of optimal modified continuous Galerkin weak form theory to generate discrete approximate solutions to incompressible-thermal Navier-Stokes equations. The book covers the topic comprehensively by introducing formulations, theory and implementation of FEM and various flow formulations. The author first introduces concepts, terminology and methodology related to the topic before covering topics including aerodynamics; the Navier-Stokes Equations; vector field theory implementations and large eddy simulation formulations. Introduces and addresses many different flow models (Navier-Stokes, full-potential, potential, compressible/incompressible) from a unified perspective Focuses on Galerkin methods for CFD beneficial for engineering graduate students and engineering professionals Accompanied by a website with sample applications of the algorithms and example problems and solutions This approach is useful for graduate students in various engineering fields and as well as professional engineers.
Russ Martinelli J. Program Management for Improved Business Results Russ Martinelli J. Program Management for Improved Business Results
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Superior program management begins with superior information and strategy Program Management for Improved Business Results, Second Edition is a practical guide to real-world program management, written to align with the rigorous PMI® PgMP® certification standards. The book explains the benchmarks and best practices that help shape a superior program manager, and provides case studies that illustrate the real-world application of management concepts. Written by a team composed of both industry professionals and academics, the book strikes a balance between theory and practice that facilitates understanding and better prepares candidates for the PgMP. Managers at all levels will learn the insights and techniques that are shaping modern management expectations. The Project Management Institute and the Product Development and Management Association both agree that program management is a critical element in the successful integration of business strategy and project management. The certification process is difficult, and few complete it – but demand for competent professionals is high. Program Management for Improved Business Results addresses this disconnect, preparing readers to fill the gaps and help businesses achieve the level of program management integration required by professional organizations. Topics include: Aligning programs with business strategy Program planning, execution, and processes Management metrics and strategic and operational tools Roles, responsibilities, and core competencies The book focuses on both the macro and the micro levels, explaining the successful integration of business strategy with project portfolios as well as the managing of a single program. Case studies present both issue-oriented and comprehensive perspectives, and guidance includes real, actionable steps. For professionals seeking improved program outcomes, Program Management for Improved Business Results is a roadmap to exceptional management skills. (PMI and PgMP are registered marks of the Project Management Institute, Inc.)
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The topic of this book is proportionate-type normalized least mean squares (PtNLMS) adaptive filtering algorithms, which attempt to estimate an unknown impulse response by adaptively giving gains proportionate to an estimate of the impulse response and the current measured error. These algorithms offer low computational complexity and fast convergence times for sparse impulse responses in network and acoustic echo cancellation applications. New PtNLMS algorithms are developed by choosing gains that optimize user-defined criteria, such as mean square error, at all times. PtNLMS algorithms are extended from real-valued signals to complex-valued signals. The computational complexity of the presented algorithms is examined. Contents 1. Introduction to PtNLMS Algorithms 2. LMS Analysis Techniques 3. PtNLMS Analysis Techniques 4. Algorithms Designed Based on Minimization of User Defined Criteria 5. Probability Density of WD for PtLMS Algorithms 6. Adaptive Step-size PtNLMS Algorithms 7. Complex PtNLMS Algorithms 8. Computational Complexity for PtNLMS Algorithms About the Authors Kevin Wagner has been a physicist with the Radar Division of the Naval Research Laboratory, Washington, DC, USA since 2001. His research interests are in the area of adaptive signal processing and non-convex optimization. Milos Doroslovacki has been with the Department of Electrical and Computer Engineering at George Washington University, USA since 1995, where he is now an Associate Professor. His main research interests are in the fields of adaptive signal processing, communication signals and systems, discrete-time signal and system theory, and wavelets and their applications.
Xin-She Yang Optimization Techniques and Applications with Examples Xin-She Yang Optimization Techniques and Applications with Examples
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A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, machine intelligence, engineering, and computer sciences Optimization Techniques and Applications with Examples introduces the fundamentals of all the commonly used techniques in optimization that encompass the broadness and diversity of the methods (traditional and new) and algorithms. The author—a noted expert in the field—covers a wide range of topics including mathematical foundations, optimization formulation, optimality conditions, algorithmic complexity, linear programming, convex optimization, and integer programming. In addition, the book discusses artificial neural network, clustering and classifications, constraint-handling, queueing theory, support vector machine and multi-objective optimization, evolutionary computation, nature-inspired algorithms and many other topics. Designed as a practical resource, all topics are explained in detail with step-by-step examples to show how each method works. The book’s exercises test the acquired knowledge that can be potentially applied to real problem solving. By taking an informal approach to the subject, the author helps readers to rapidly acquire the basic knowledge in optimization, operational research, and applied data mining. This important resource: Offers an accessible and state-of-the-art introduction to the main optimization techniques Contains both traditional optimization techniques and the most current algorithms and swarm intelligence-based techniques Presents a balance of theory, algorithms, and implementation Includes more than 100 worked examples with step-by-step explanations Written for upper undergraduates and graduates in a standard course on optimization, operations research and data mining, Optimization Techniques and Applications with Examples is a highly accessible guide to understanding the fundamentals of all the commonly used techniques in optimization.
Kenneth Dawson-Howe A Practical Introduction to Computer Vision with OpenCV Kenneth Dawson-Howe A Practical Introduction to Computer Vision with OpenCV
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Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2). This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous. We are now surrounded by cameras, for example cameras on computers & tablets/ cameras built into our mobile phones/ cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways. Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues Provides enough material for a one semester course in computer vision at senior undergraduate and Masters levels Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in images Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book which include an enhanced eBook
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Eiichi Haginomori Power System Transient Analysis. Theory and Practice using Simulation Programs (ATP-EMTP) Eiichi Haginomori Power System Transient Analysis. Theory and Practice using Simulation Programs (ATP-EMTP)
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Understanding transient phenomena in electric power systems and the harmful impact of resulting disturbances is an important aspect of power system operation and resilience. Bridging the gap from theory to practice, this guide introduces the fundamentals of transient phenomena affecting electric power systems using the numerical analysis tools, Alternative Transients Program- Electromagnetic Transients Program (ATP-EMTP) and ATP-DRAW. This technology is widely-applied to recognize and solve transient problems in power networks and components giving readers a highly practical and relevant perspective and the skills to analyse new transient phenomena encountered in the field. Key features: Introduces novice engineers to transient phenomena using commonplace tools and models as well as background theory to link theory to practice. Develops analysis skills using the ATP-EMTP program, which is widely used in the electric power industry. Comprehensive coverage of recent developments such as HVDC power electronics with several case studies and their practical results. Provides extensive practical examples with over 150 data files for analysing transient phenomena and real life practical examples via a companion website. Written by experts with deep experience in research, teaching and industry, this text defines transient phenomena in an electric power system and introduces a professional transient analysis tool with real examples to novice engineers in the electric power system industry. It also offers instruction for graduates studying all aspects of power systems.
J. Parker R. Algorithms for Image Processing and Computer Vision J. Parker R. Algorithms for Image Processing and Computer Vision
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A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.
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Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.
Kevin Murphy D. Modeling and Estimation of Structural Damage Kevin Murphy D. Modeling and Estimation of Structural Damage
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Modelling and Estimation of Damage in Structures is a comprehensiveguide to solving the type of modelling and estimation problems associated with the physics of structural damage. Provides a model-based approach to damage identification Presents an in-depth treatment of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches Includes experimental examples of all detection and identification approaches Provides a clear means by which acquired data can be used to make decisions regarding maintenance and usage of a structure
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Develop and deliver a robust employee training and development program Training and Development For Dummies gives you the tools you need to develop a strong and effective training and development program. Covering the latest in talent development, this informative guide addresses classroom, virtual, and blended learning to open up your options and help you design the program that's right for your company. You'll explore the different modes of formal learning, including social learning, m-learning, and MOOCs, and delve into the benefits and implementation of self-directed and informal learning. The discussion covers mentoring and coaching, rotational and stretch assignments, and how to align talent development with the company's needs. You'll learn how to assess employee skills, design and deliver training, and evaluate each step of the process to achieve the goals of both the employee and the organization. Most employees have some weaknesses in their skill sets. A robust training program allows you to strengthen those skills, and a development program brings all employees up to the highest possible level of productivity and success. This book helps you create consistency in your company by developing and delivering the exact training and development program your people need. Develop a strong training and development program Foster a supportive and innovative work environment Learn about social learning, m-learning, and MOOCs Assess and evaluate your staff more effectively A great training and development program boosts performance, productivity, job satisfaction, and quality of services, while reducing costs and supervision. Investing in your employees gives an excellent ROI, as talent development is a primary driver behind both motivation and loyalty. Training and Development For Dummies shows you how to reap these benefits, with step by step guidance and essential expert insight.
Rod Stephens Essential Algorithms. A Practical Approach to Computer Algorithms Rod Stephens Essential Algorithms. A Practical Approach to Computer Algorithms
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A friendly and accessible introduction to the most useful algorithms Computer algorithms are the basic recipes for programming. Professional programmers need to know how to use algorithms to solve difficult programming problems. Written in simple, intuitive English, this book describes how and when to use the most practical classic algorithms, and even how to create new algorithms to meet future needs. The book also includes a collection of questions that can help readers prepare for a programming job interview. Reveals methods for manipulating common data structures such as arrays, linked lists, trees, and networks Addresses advanced data structures such as heaps, 2-3 trees, B-trees Addresses general problem-solving techniques such as branch and bound, divide and conquer, recursion, backtracking, heuristics, and more Reviews sorting and searching, network algorithms, and numerical algorithms Includes general problem-solving techniques such as brute force and exhaustive search, divide and conquer, backtracking, recursion, branch and bound, and more In addition, Essential Algorithms features a companion website that includes full instructor materials to support training or higher ed adoptions.
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A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible style. This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field. A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies Presents new improved algorithms aimed at different applications, such as image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition, and MRI medical image processing With applications in geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition Written by an expert team with accredited innovations in blind source separation and its applications in natural science Accompanying website includes a software system providing codes for most of the algorithms mentioned in the book, enhancing the learning experience Essential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.
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