Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian analysis, regularization theory, information theory, computational learning theory, and mathematical statistics.
Mathematical models of neural networks display an amazing richness and diversity. Neural networks can be formally modeled as computational systems, as physical or dynamical systems, and as statistical analyzers. Within each of these three broad perspectives, there are a number of particular approaches. For each of 16 particular mathematical perspectives on neural networks, the contributing authors provide introductions to the background mathematics, and address questions such as:
* Exactly what mathematical systems are used to model neural networks from the given perspective?
* What formal questions about neural networks can then be addressed?
* What are typical results that can be obtained? and
* What are the outstanding open problems?
A distinctive feature of this volume is that for each perspective presented in one of the contributed chapters, the first editor has provided a moderately detailed summary of the formal results and the requisite mathematical concepts. These summaries are presented in four chapters that tie together the 16 contributed chapters: three develop a coherent view of the three general perspectives -- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.

Understand the introductory concepts and design principles of algorithms and their complexities. Demonstrate the programming implementations of all the algorithms using C-Language. Be an excellent handbook on algorithms with self-explanatory chapters enriched with problems and solutions.

With the aim to better understand nature, mathematical tools are being used nowadays in many different fields. The concept of integral transforms, in particular, has been found to be a useful mathematical tool for solving a variety of problems not only in mathematics, but also in various other branches of science, engineering, and technology. Integral Transforms and Engineering: Theory, Methods, and Applications presents a mathematical analysis of integral transforms and their applications. The book illustrates the possibility of obtaining transfer functions using different integral transforms, especially when mapping any function into the frequency domain. Various differential operators, models, and applications are included such as classical derivative, Caputo derivative, Caputo-Fabrizio derivative, and Atangana-Baleanu derivative. This book is a useful reference for practitioners, engineers, researchers, and graduate students in mathematics, applied sciences, engineering, and technology fields.

Blockchain: A Hype or a Hoax? fills a gap in the book market to provide material that is not only technical but also caters to business readers. This book was written to keep in mind various stakeholders and the current gap in blockchain education as well as use case implementation. This book reviews blockchain technology, discusses why proof of concept fails, offers examples of use cases that have been successful and that have failed and articulates a framework that should be used before deciding whether blockchain is the right technology for transformation. It uses strategic models and frameworks to assist organisations to see a fit score for their specific use cases. This book provides guidance on how to create a blockchain strategy and a business case to pitch for the budget. It also includes a case study to apply the knowledge on practical use cases for blockchain and a technical overview of most of the blockchain use cases in the market including crypto, non-fungible tokens, decentralised finance, and decentralised autonomous organisations, as well as financial and non-financial industry use cases. This book also provides a detailed overview of most of the mainstream blockchain products currently available in the market. It also offers guidance on how readers can best educate themselves on blockchain technology that is available through commercial and free resources. It concludes with a clear direction on selecting blockchain to solve real-life use cases that are best fit. A financial and non-financial value-adding framework is discussed throughout this book to assist business leaders, programme managers, product managers and information technology leaders to make strategic choices, and business cases and develop strategies for digital transformation through the use of blockchain. The distinctive feature of this book is the critical analysis of blockchain from a technology and business perspective. This is the first book to focus on business, technology and blockchain selection framework. The most unique feature of this book would be to apply Michael Porter's competitive advantage strategy theory on blockchain use cases and their impact on companies. This book is aimed at technology students, technology professionals, blockchain and fintech consultant and business leaders. It will also be useful for readers who are building a business case to adopt blockchain into an organisation or are seeking to grow their knowledge of blockchain and improve their fintech strategy.

New Work and Industry 4.0 have matured and this book takes a practical, experience-based approach to project management in these areas. It introduces methods and covers the practical aspects. It critically examines existing approaches and practices and shows their limitations. The book covers appropriate methods as well as human and social aspects. It contributes to the ongoing discussion of business practices and methods. It also aims to stimulate dialogue in the professional community. Digital Project Practice for New Work and Industry 4.0 begins by introducing basic concepts in the context of Industry 4.0 and discussing how they might influence organizational communication and impact the work environment. After examining the possibilities and challenges of remote work and collaboration in distributed teams all over the world, the book looks at a company's fundamental changes related to New Work from a practical business perspective as well as legal and ethical perspectives. It reviews the case of the VW emission scandal and recommends ways to improve corporate culture. Legal issues include New Work and hybrid forms of collaboration as well as liability for automated decisions (i.e., the potential need for an 'electronic person'). Other implications for the workplace include how: Industry 4.0 might influence the potential demand for "Digital Unions" Industry 4.0, and lean production, and their applications can change industrial practices Open Banking presents new approaches and new business models Work structures and systems can empower employees' work self-management This book also looks at how New Work effects individual workers. It addresses digital stress, introduces strategies for coping with it, and discusses related topics. It also explores the benefits of meditation and the economics of mind, body, and spirit. In essence, this book cover appropriate methods along with human and social factors. It also covers practice, different perspectives, and various experiences from all around the globe. Contributing to the ongoing discussion on business practices and methods, this book will nourish and stimulate dialogue in the professional community.

The advent of very compact, very powerful digital computers has made it possible to automate a great many processes that formerly required large, complex machinery. Digital computers have made possible revolutionary changes in industry, commerce, and transportation. This book, an expansion and revision of the author's earlier technical papers on this subject, describes the development of automation in aircraft and in the aviation system, its likely evolution in the future, and the effects that these technologies have had -- and will have -- on the human operators and managers of the system. It suggests concepts that may be able to enhance human-machine relationships in future systems. The author focuses on the ability of human operators to work cooperatively with the constellation of machines they command and control, because it is the "interactions among" these system elements that result in the system's success or failure, whether in aviation or elsewhere.
Aviation automation has provided great social and technological benefits, but these benefits have not come without cost. In recent years, new problems in aircraft have emerged due to failures in the human-machine relationship. These incidents and accidents have motivated this inquiry into aviation automation. Similar problems in the air traffic management system are predicted as it becomes more fully automated. In particular, incidents and accidents have occurred which suggest that the principle problems with today's aviation automation are associated with its complexity, coupling, autonomy, and opacity. These problems are not unique to aviation; they exist in other highly dynamic domains as well. The author suggests that a different approach to automation -- called "human-centered automation" -- offers potential benefits for system performance by enabling a more cooperative human-machine relationship in the control and management of aircraft and air traffic.

This book focuses on design in the domain of human-computer interaction. Including a broad sampling of case studies as well as narrower theoretical or empirical studies, it includes consideration of educational uses of design rationale, methods for teaching it in industry, and applications to a variety of software and user interface/application domains. The volume promises to be the largest collection of work on design rationale ever assembled, and thereby to energize the considerable, widespread interest in this topic. It will also act as a focus for the existing but scattered work in this domain.

This book focuses on design in the domain of human-computer interaction. Including a broad sampling of case studies as well as narrower theoretical or empirical studies, it includes consideration of educational uses of design rationale, methods for teaching it in industry, and applications to a variety of software and user interface/application domains. The volume promises to be the largest collection of work on design rationale ever assembled, and thereby to energize the considerable, widespread interest in this topic. It will also act as a focus for the existing but scattered work in this domain.

In recent years, the use of technology for the purposes of improving and enriching traditional instructional practices has received a great deal of attention. However, few works have explicitly examined cognitive, psychological, and educational principles on which technology-supported learning environments are based. This volume attempts to cover the need for a thorough theoretical analysis and discussion of the principles of system design that underlie the construction of technology-enhanced learning environments. It presents examples of technology-supported learning environments that cover a broad range of content domains, from the physical sciences and mathematics to the teaching of language and literacy.
The emphasis in this book is not on the design of educational software but on the design of learning environments. A great deal of research on learning and instruction has recently moved out of the laboratory into the design of applications in instructional settings. By designing technology-supported learning environments instructional scientists attempt to better understand the theories and principles that are explicit in their theories of learning. The contributors to this volume examine how factors such as social interaction, the creation of meaningful activities, the use of multiple perspectives, and the construction of concrete representations influence the acquisition of new information and transfer.

This book provides a single comprehensive resource that reviews many of the current aircraft flight control programmes from the perspective of experienced practitioners directly involved in the projects. Each chapter discusses a specific aircraft flight programme covering the control system design considerations, control law architecture, simulation and analysis, flight test optimization and handling qualities evaluations. The programmes described have widely exploited modern interdisciplinary tools and techniques and the discussions include extensive flight test results. Many important `lessons learned' are included from the experience gained when design methods and requirements were tested and optimized in actual flight demonstration.

This is a thorough description of this increasingly important technology, starting from the development of head-up displays (HUDs), particularly specifications and standards and operational problems associated with HUD use. HUD involvement in spatial disorientation and its use in recognizing and recovering from unusual attitudes is discussed. The book summarizes the design criteria including hardware, software, interface and display criteria. It goes on to outline flight tasks to be used for evaluating HUDs and discusses the impact of HUDs on flight training. Recent work indicates that a HUD may allow a significant reduction in the time required to train a pilot on a particular aircraft, even considering non-HUD-related tasks. The author concludes with a review of unresolved HUD issues and recommendations for further research and provides an impressive bibliography, glossary and index. Within the military aviation sector the book will be of use to industry, research agencies, test pilot schools and air force training establishments. In the civil area regulatory authorities, airlines and industry will also have an increasing interest.

Features In-depth coverage of the role of AI in smart healthcare. Research guideline for AI and data science researchers/practitioners interested in the healthcare sector. Comprehensive coverage on security and privacy issues for AI in smart healthcare.

Anyone browsing at the stationery store will see an incredible array of pop-up cards available for any occasion. The workings of pop-up cards and pop-up books can be remarkably intricate. Behind such designs lies beautiful geometry involving the intersection of circles, cones, and spheres, the movements of linkages, and other constructions. The geometry can be modelled by algebraic equations, whose solutions explain the dynamics. For example, several pop-up motions rely on the intersection of three spheres, a computation made every second for GPS location. Connecting the motions of the card structures with the algebra and geometry reveals abstract mathematics performing tangible calculations. Beginning with the nephroid in the 19th-century, the mathematics of pop-up design is now at the frontiers of rigid origami and algorithmic computational complexity. All topics are accessible to those familiar with high-school mathematics; no calculus required. Explanations are supplemented by 140+ figures and 20 animations.

#1 Best Selling Information Security Book by Taylor & Francis in 2019, 2020 and 2021 2020 Cybersecurity CANON Hall of Fame Winner Todd Fitzgerald, co-author of the ground-breaking (ISC)2 CISO Leadership: Essential Principles for Success, Information Security Governance Simplified: From the Boardroom to the Keyboard, co-author for the E-C Council CISO Body of Knowledge, and contributor to many others including Official (ISC)2 Guide to the CISSP CBK, COBIT 5 for Information Security, and ISACA CSX Cybersecurity Fundamental Certification, is back with this new book incorporating practical experience in leading, building, and sustaining an information security/cybersecurity program. CISO COMPASS includes personal, pragmatic perspectives and lessons learned of over 75 award-winning CISOs, security leaders, professional association leaders, and cybersecurity standard setters who have fought the tough battle. Todd has also, for the first time, adapted the McKinsey 7S framework (strategy, structure, systems, shared values, staff, skills and style) for organizational effectiveness to the practice of leading cybersecurity to structure the content to ensure comprehensive coverage by the CISO and security leaders to key issues impacting the delivery of the cybersecurity strategy and demonstrate to the Board of Directors due diligence. The insights will assist the security leader to create programs appreciated and supported by the organization, capable of industry/ peer award-winning recognition, enhance cybersecurity maturity, gain confidence by senior management, and avoid pitfalls. The book is a comprehensive, soup-to-nuts book enabling security leaders to effectively protect information assets and build award-winning programs by covering topics such as developing cybersecurity strategy, emerging trends and technologies, cybersecurity organization structure and reporting models, leveraging current incidents, security control frameworks, risk management, laws and regulations, data protection and privacy, meaningful policies and procedures, multi-generational workforce team dynamics, soft skills, and communicating with the Board of Directors and executive management. The book is valuable to current and future security leaders as a valuable resource and an integral part of any college program for information/ cybersecurity.

In a world that is awash in ubiquitous technology, even the least tech-savvy know that we must take care how that technology affects individuals and society. That governments and organizations around the world now focus on these issues, that universities and research institutes in many different languages dedicate significant resources to study the issues, and that international professional organizations have adopted standards and directed resources toward ethical issues in technology is in no small part the result of the work of Simon Rogerson. - Chuck Huff, Professor of Social Psychology at Saint Olaf College, Northfield, Minnesota In 1995, Apple launched its first WWW server, Quick Time On-line. It was the year Microsoft released Internet Explorer and sold 7 million copies of Windows 95 in just 2 months. In March 1995, the author Simon Rogerson opened the first ETHICOMP conference with these words: We live in a turbulent society where there is social, political, economic and technological turbulence ... it is causing a vast amount of restructuring within all these organisations which impacts on individuals, which impacts on the way departments are set up, organisational hierarchies, job content, span of control, social interaction and so on and so forth. ... Information is very much the fuel of modern technological change. Almost anything now can be represented by the technology and transported to somewhere else. It's a situation where the more information a computer can process, the more of the world it can actually turn into information. That may well be very exciting, but it is also very concerning. That could be describing today. More than 25 years later, these issues are still at the forefront of how ethical digital technology can be developed and utilised. This book is an anthology of the author's work over the past 25 years of pioneering research in digital ethics. It is structured into five themes: Journey, Process, Product, Future and Education. Each theme commences with an introductory explanation of the papers, their relevance and their interrelationship. The anthology finishes with a concluding chapter which summarises the key messages and suggests what might happen in the future. Included in this chapter are insights from some younger leading academics who are part of the community charged with ensuring that ethical digital technology is realised.

The Universal Service Desk (USD) - Implementing, controlling and improving service delivery defines what a USD is, why it is valuable to an organisation and how to build and implement one. It also discusses the evolution of the USD as part of integrated workplace management. Understand the essentials of any USD - buy this book today!

Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences.

This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences.

Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.

Threat actors, be they cyber criminals, terrorists, hacktivists or disgruntled employees, are employing sophisticated attack techniques and anti-forensics tools to cover their attacks and breach attempts. As emerging and hybrid technologies continue to influence daily business decisions, the proactive use of cyber forensics to better assess the risks that the exploitation of these technologies pose to enterprise-wide operations is rapidly becoming a strategic business objective. This book moves beyond the typical, technical approach to discussing cyber forensics processes and procedures. Instead, the authors examine how cyber forensics can be applied to identifying, collecting, and examining evidential data from emerging and hybrid technologies, while taking steps to proactively manage the influence and impact, as well as the policy and governance aspects of these technologies and their effect on business operations. A world-class team of cyber forensics researchers, investigators, practitioners and law enforcement professionals have come together to provide the reader with insights and recommendations into the proactive application of cyber forensic methodologies and procedures to both protect data and to identify digital evidence related to the misuse of these data. This book is an essential guide for both the technical and non-technical executive, manager, attorney, auditor, and general practitioner who is seeking an authoritative source on how cyber forensics may be applied to both evidential data collection and to proactively managing today's and tomorrow's emerging and hybrid technologies. The book will also serve as a primary or supplemental text in both under- and post-graduate academic programs addressing information, operational and emerging technologies, cyber forensics, networks, cloud computing and cybersecurity.

Problems in network optimization arise in all areas of technology and industrial management. The topic of network flows has applications in diverse fields such as chemistry, engineering, management science, scheduling and transportation, to name a few.

With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the different types of analysis commonly conducted with big data, this accessible reference presents clear-cut explanations of the general workings of big data tools. Instead of spending time on HOW to install specific packages, it focuses on the reasons WHY readers would install a given package. The book provides authoritative guidance on a range of tools, including open source and proprietary systems. It details the strengths and weaknesses of incorporating big data analysis into decision-making and explains how to leverage the strengths while mitigating the weaknesses. Describes the benefits of distributed computing in simple terms Includes substantial vendor/tool material, especially for open source decisions Covers prominent software packages, including Hadoop and Oracle Endeca Examines GIS and machine learning applications Considers privacy and surveillance issues The book further explores basic statistical concepts that, when misapplied, can be the source of errors. Time and again, big data is treated as an oracle that discovers results nobody would have imagined. While big data can serve this valuable function, all too often these results are incorrect, yet are still reported unquestioningly. The probability of having erroneous results increases as a larger number of variables are compared unless preventative measures are taken. The approach taken by the authors is to explain these concepts so managers can ask better questions of their analysts and vendors as to the appropriateness of the methods used to arrive at a conclusion. Because the world of science and medicine has been grappling with similar issues in the publication of studies, the authors draw on their efforts and apply them to big data.

Key Features / Selling Points Unique selling point: * The only book to distill the CSEC2017 recommendations down into practical teaching approaches for K-12 classrooms Core audience: * Teachers and educators of cybersecurity, who may or may not have a background in the subject Place in the market: * First book of its kind

Geographic information system (GIS) computer technology is revolutionizing the way we interact with information. Data, text, drawings, maps, and images contain information that can be accessed and used intuitively through drawings containing graphical representations of the facilities to which they apply, e.g., emission stacks, sampling locations, and sites, to name only a few examples.
Environmental GIS technology is being applied with increasing frequency to manage industrial facilities. Environmental GIS describes the application of this information technology. It addresses environmental, safety, and health (ES&H) information management in an integrated manner. The book focuses on dealing with information from an organizational or corporate standpoint, meaning that the needs are not specialized to the ES&H area, but are an inherent part of managing the organization. Environmental, safety, and health information management needs are examined in the context of the overall corporate information flow. This book addresses

As increasing numbers of social anthropoloists use computers for wordprocessing, interest in other applications inevitably follows. "Applications in Computing for Social Anthropologists" addresses this interest and encourages researchers to make full use of their computers to help them organize data. Firstly, the author discusses computing applications in relation to research activities shared by all anthropologists - ethnographic fieldwork, management and analysis of footnotes and the use of visual and aural material. The book then illustrates the way in which computer-based representations can satisfy the requirements of anthropological methods with a detailed examination of representing kinship relations in an original way. Nal developments in the representation of visual and aural data on computers, as well as possible applications of knowledge based models are also introduced.

Statistical distributions are important tools to model the characteristics of data sets such as right or left skewness, bi-modality or multi-modality observed in different applied sciences such as engineering, medicine, and finance, among others. The well-known distributions such as normal, Weibull, gamma, Lindley are extensively used because of their simple forms and identifiability properties. However, mostly in the last decade or so, researchers have focused on the more complex and flexible distributions, referred to as Generalized or simply G families of distributions to increase the modeling ability of these distributions by adding one or more shape parameters. The main aim of this edited book is to present new development currently made by various researchers in the field of G families of contributions distributions. The book will help future and current researchers in the field of this research. Some of the objectives are listed below: Develop new univariate continuous and discrete G families of probability distributions. Develop new bivariate continuous and discrete G families of probability distributions. Derive useful mathematical properties such as, ordinary and incomplete moments, moments generating functions, residual life and reversed residual life functions, order statistics, quantile spread ordering and entropies, among others and some bivariate and multivariate extensions of the new and existing models using a simple type copula such as: Farlie Gumbel Morgenstern copula. Modified Farlie Gumbel Morgenstern copula. Clayton copula. Renyi entropy copula. Ali-Mikhail-Haq copula. haracterize the models via several techniques such as: the conditional expectation. the truncated moment. the hazard functions. Mills ratio. certain functions of the random variable. the 1st order statistic. the conditional expectation of the record values. Assess the performance of the used estimation methods via Monte-Carlo simulation studies. Show the wide importance and the flexibility of the new models against the competitive models. Construct some new regression models based on the new proposed G families and use in statistical prediction. Application of many new useful goodness-of-fit tests for right censored validation such as the Nikulin-Rao-Robson goodness-of-fit test, modified Nikulin-Rao-Robson goodness-of-fit test, Bagdonavicius-Nikulin goodness-of-fit test and modified Bagdonavicius-Nikulin goodness-of-fit test to the new families.

Python is an amazing programming language. It can be applied to almost any programming task. It allows for rapid development and debugging. Getting started with Python is like learning any new skill: it's important to find a resource you connect with to guide your learning. Luckily, there's no shortage of excellent books that can help you learn both the basic concepts of programming and the specifics of programming in Python. With the abundance of resources, it can be difficult to identify which book would be best for your situation. Python for Beginners is a concise single point of reference for all material on python. * Provides concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools * Offers practical advice for each major area of development with both Python 3.x and Python 2.x * Based on the latest research in cognitive science and learning theory * Helps the reader learn how to write effective, idiomatic Python code by leveraging its best-and possibly most neglected-features This book focuses on enthusiastic research aspirants who work on scripting languages for automating the modules and tools, development of web applications, handling big data, complex calculations, workflow creation, rapid prototyping, and other software development purposes. It also targets graduates, postgraduates in computer science, information technology, academicians, practitioners, and research scholars.