Today's healthcare organizations must focus on a lot more than just the health of their clients. The infrastructure it takes to support clinical-care delivery continues to expand, with information technology being one of the most significant contributors to that growth. As companies have become more dependent on technology for their clinical, administrative, and financial functions, their IT departments and expenditures have had to scale quickly to keep up. However, as technology demands have increased, so have the options for reliable infrastructure for IT applications and data storage. The one that has taken center stage over the past few years is cloud computing. Healthcare researchers are moving their efforts to the cloud because they need adequate resources to process, store, exchange, and use large quantities of medical data. Cloud Computing in Medical Imaging covers the state-of-the-art techniques for cloud computing in medical imaging, healthcare technologies, and services. The book focuses on Machine-learning algorithms for health data security Fog computing in IoT-based health care Medical imaging and healthcare applications using fog IoT networks Diagnostic imaging and associated services Image steganography for medical informatics This book aims to help advance scientific research within the broad field of cloud computing in medical imaging, healthcare technologies, and services. It focuses on major trends and challenges in this area and presents work aimed to identify new techniques and their use in biomedical analysis.

The high failure rate of enterprise resource planning (ERP) projects is a pressing concern for both academic researchers and industrial practitioners. The challenges of an ERP implementation are particularly high when the project involves designing and developing a system from scratch. Organizations often turn to vendors and consultants for handling such projects but, every aspect of an ERP project is opaque for both customers and vendors. Unlocking the mysteries of building a large-scale ERP system, The Adventurous and Practical Journey to a Large-Scale Enterprise Solution tells the story of implementing an applied enterprise solution. The book covers the field of enterprise resource planning by examining state-of-the-art concepts in software project management methodology, design and development integration policy, and deployment framework, including: A hybrid project management methodology using waterfall as well as a customized Scrum-based approach A novel multi-tiered software architecture featuring an enhanced flowable process engine A unique platform for coding business processes efficiently Integration to embed ERP modules in physical devices A heuristic-based framework to successfully step into the Go-live period Written to help ERP project professionals, the book charts the path that they should travel from project ideation to systems implementation. It presents a detailed, real-life case study of implementing a large-scale ERP and uses storytelling to demonstrate incorrect and correct decisions frequently made by vendors and customers. Filled with practical lessons learned, the book explains the ins and outs of adopting project methodologies. It weaves a tale that features both real-world and scholarly aspects of an ERP implementation.

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.

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.

1. It is a practical guide to understanding and implementation 2. It assumes no prior in depth knowledge 3. It is written in plain language and may be understood by anyone, whether or not they are qualified or involved with IT. It is therefore equally suitable for senior management, IT practitioners, students and interested individuals.

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.

Access US Census Bureau geographic and demographic data directly within R. Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey. Make maps and interactive web visualizations with US Census data. Explore Census data with spatial analysis using the sf package. Integrate Census data into spatial and machine learning models.

Access US Census Bureau geographic and demographic data directly within R. Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey. Make maps and interactive web visualizations with US Census data. Explore Census data with spatial analysis using the sf package. Integrate Census data into spatial and machine learning models.

Software Security: Concepts & Practices is designed as a textbook and explores fundamental security theories that govern common software security technical issues. It focuses on the practical programming materials that will teach readers how to implement security solutions using the most popular software packages. It's not limited to any specific cybersecurity subtopics and the chapters touch upon a wide range of cybersecurity domains, ranging from malware to biometrics and more. Features The book presents the implementation of a unique socio-technical solution for real-time cybersecurity awareness. It provides comprehensible knowledge about security, risk, protection, estimation, knowledge and governance. Various emerging standards, models, metrics, continuous updates and tools are described to understand security principals and mitigation mechanism for higher security. The book also explores common vulnerabilities plaguing today's web applications. The book is aimed primarily at advanced undergraduates and graduates studying computer science, artificial intelligence and information technology. Researchers and professionals will also find this book useful.

Presenting a reference model architecture for the design of intelligent systems

Engineering of Mind presents the foundations for a computational theory of intelligence. It discusses the main streams of investigation that will eventually converge in a scientific theory of mind and proposes an avenue of research that might best lead to the development of truly intelligent systems.

This book presents a model of the brain as a hierarchy of massive parallel computational modules and data structures interconnected by information pathways. Using this as the basic model on which intelligent systems should be based, the authors propose a reference model architecture that accommodates concepts from artificial intelligence, control theory, image understanding, signal processing, and decision theory. Algorithms, procedures, and data embedded within this architecture would enable the analysis of situations, the formulation of plans, the choice of behaviors, and the computation of uncertainties. The computational power to implement the model can be achieved in practical systems in the foreseeable future through hierarchical and parallel distribution of computational tasks.

The authors’ reference model architecture is expressed in terms of the Real-time Control System (RCS) that has been developed primarily at the National Institute of Standards and Technology. Suitable for engineers, computer scientists, researchers, and students, Engineering of Mind blends current theory and practice to achieve a coherent model for the design of intelligent systems.

One of the most difficult, yet important, questions regarding projects is "What advantages will this project create for the investors and key stakeholders?" Projects and programs should be treated as investments. This means that the focus of projects shifts from delivering within the triple constraints (time-cost-quality) towards some of the more fundamental questions: What is the purpose of this investment? What are the specific advantages expected? Are these benefits worth the investment? Implementing Project and Program Benefit Management is written for executives and practitioners within the portfolio, program, and project environment. It guides them through the important work that must be addressed as the investment progresses towards the realization of benefits. The processes discussed cover the strategic elements of benefits realization as well as the more detailed requirements, which are the domain of the program delivery teams and the operational users. Using real cases to explain complex situations, operational teams and wider groups of stakeholders, including communities affected by infrastructure projects, will be able to engage in the conversation with the sponsors and delivery teams. Covering an area of program and project management that is rapidly becoming more widely valued, this book blends theory with practical experience to present a clear process flow to managing the benefits life cycle. Best practices are defined, and pitfalls and traps are identified to enable practitioners to apply rigor and structure to this crucial discipline.

Technology Innovation discusses the fundamental aspects of processes and structures of technology innovation. It offers a new perspective concerning fundamentals aspects not directly involved in the complex relations existing between technology and the socio-economic system. By considering technology and its innovation from a scientific point of view, the book presents a novel definition of technology as a set of physical, chemical, and biological phenomena, producing an effect exploitable for human purposes. Expanding on the general model of technology innovation by linking the model of technology, based on a structure of technological operations, with the models of the structures for technology innovation, based on organization of fluxes of knowledge and capitals, the book considers various technological processes and the stages of the innovation process. Offers a perspective on the evolution of technology in the frame of an industrial platform network Explains a novel definition of technology as a set of physical, chemical, and biological phenomena producing an effect exploitable for human purposes Discusses technology innovation as result of structures organizing fluxes of knowledge and capitals Provides a technology model simulating the functioning of technology with its optimization Presents a technology innovation model explaining the territorial technology innovation process The book is intended for academics, graduate students, technology developers who are involved in operations management and research, innovation, and technology development.

This book describes how to architect and design Internet of Things (loT) solutions that provide end-to-end security and privacy at scale. It is unique in its detailed coverage of threat analysis, protocol analysis, secure design principles, intelligent loT's impact on privacy, and the effect of usability on security. The book also unveils the impact of digital currency and the dark web on the loT-security economy. It's both informative and entertaining. "Filled with practical and relevant examples based on years of experience ... with lively discussions and storytelling related to loT security design flaws and architectural issues."- Dr. James F. Ransome, Senior Director of Security Development Lifecycle (SOL) Engineering, Intel 'There is an absolute treasure trove of information within this book that will benefit anyone, not just the engineering community. This book has earned a permanent spot on my office bookshelf."- Erv Comer, Fellow of Engineering, Office of Chief Architect Zebra Technologies 'The importance of this work goes well beyond the engineer and architect. The IoT Architect's Guide to Attainable Security & Privacy is a crucial resource for every executive who delivers connected products to the market or uses connected products to run their business."- Kurt Lee, VP Sales and Strategic Alliances at PWNIE Express "If we collectively fail to follow the advice described here regarding loT security and Privacy, we will continue to add to our mounting pile of exploitable computing devices. The attackers are having a field day. Read this book, now."- Brook S.E. Schoenfield, Director of Advisory Services at IOActive, previously Master Security Architect at McAfee, and author of Securing Systems

This book delves into the essential concepts and technologies of acquiring systems. It fills the gap left by manuals and standards and provides practical knowledge and insight that allow engineers to navigate systems as well as the massive tomes containing standards and manuals. Dedicated to card acquiring exclusively, the book covers: Payment cards and protocols EMV contact chip and contactless transactions Disputes, arbitration, and compliance Data security standards in the payment card industry Validation algorithms Code tables Basic cryptography Pin block formats and algorithms When necessary the book discusses issuer-side features or standards insomuch as they are required for the sake of completeness. For example, protocols such as EMV 3-D Secure are not covered to the last exhaustive detail. Instead, this book provides an overview, justification, and logic behind each message of the protocol and leaves the task of listing all fields and their formats to the standard document itself. The chapter on EMV contact transactions is comprehensive to fully explain this complex topic in order to provide a basis for understanding EMV contactless transaction. A guide to behind-the-scenes business processes, relevant industry standards, best practices, and cryptographic algorithms, Acquiring Card Payments covers the essentials so readers can master the standards and latest developments of card payment systems and technology

"Vivek Kale's Creating Smart Enterprises goes smack-dab at the heart of harnessing technology for competing in today's chaotic digital era. Actually, for him, it's SMACT-dab: SMACT (Social media, Mobile, Analytics and big data, Cloud computing, and internet of Things) technologies. This book is required reading for those that want to stay relevant and win, and optional for those that don't." -Peter Fingar, Author of Cognitive Computing and business technology consultant Creating Smart Enterprises unravels the mystery of social media, mobile, analytics and big data, cloud, and Internet of Things (SMACT) computing and explains how it can transform the operating context of business enterprises. It provides a clear understanding of what SMACT really means, what it can do for smart enterprises, and application areas where it is practical to use them. All IT professionals who are involved with any aspect of a SMACT computing project will profit by using this book as a roadmap to make a more meaningful contribution to the success of their computing initiatives. This pragmatic book: Introduces the VUCA (volatility, uncertainty, complexity, and ambiguity) business ecosystem confronted by the businesses today. Describes the challenges of defining business and IT strategies and of aligning them as well as their impact on enterprise governance. Provides a very wide treatment of the various components of SMACT computing, including the Internet of Things (IoT) and its constituting technologies like RFID, wireless networks, sensors, and wireless sensor networks (WSNs). This book addresses the key differentiator of SMACT computing environments and solutions that combine the power of an elastic infrastructure with analytics. The SMACT environment is cloud-based and inherently mobile. Information management processes can analyze and discern recurring patterns in colossal pools of operational and transactional data. Analytics, big data, and IoT computing leverage and transform these data patterns to help create successful, smart enterprises.

Within this context, big data analytics (BDA) can be an important tool given that many analytic techniques within the big data world have been created specifically to deal with complexity and rapidly changing conditions. The important task for public sector organizations is to liberate analytics from narrow scientific silos and expand it across internally to reap maximum benefit across their portfolios of programs. This book highlights contextual factors important to better situating the use of BDA within government organizations and demonstrates the wide range of applications of different BDA techniques. It emphasizes the importance of leadership and organizational practices that can improve performance. It explains that BDA initiatives should not be bolted on but should be integrated into the organization's performance management processes. Equally important, the book includes chapters that demonstrate the diversity of factors that need to be managed to launch and sustain BDA initiatives in public sector organizations.

Benefits realization management (BRM) is a key part of governance, because it supports the strategic creation of value and provides the correct level of prioritization and executive support to the correct initiatives. Because of its relevance to the governance process, BRM has a strong influence over project success and is a link between strategic planning and strategy execution. This book guides portfolio, program, and project managers through the process of benefits realization management so they can maximize business value. It discusses why and how programs and projects are expected to enable value creation, and it explains the role of BRM in value creation. The book provides a flexible framework for: Translating business strategy drivers into expected benefits and explains the subsequent composition of a program and project portfolio that can realize expected benefits Planning the benefits realization expected from programs and projects and then making it happen Keeping programs and projects on track Reviewing and evaluating the benefits achieved or expected against the original baselines and the current expectations. To help project, program, and portfolio managers on their BRM journey, as well as to support business managers in executing business strategies, the book identifies key organizational responsibilities and roles involved in BRM practices, and it provides a simple reference that can be mapped against any organizational structure. A detailed and comprehensive case study illustrates each phase of the BRM framework as it links business strategy to project work, benefits, and business value. Each chapter ends with a series questions that provide a BRM self-assessment. The book concludes with a set of templates and detailed instructions to ensure successful deployment of BRM.

ERP Systems for Manufacturing Supply Chains: Applications, Configuration, and Performance provides insight into the core architecture, modules, and process support of ERP systems used in a manufacturing supply chain. This book explains the building blocks of an ERP system and how they can be used to increase performance of manufacturing supply chains. Starting with an overview of basic concepts of supply chain and ERP systems, the book delves into the core ERP modules that support manufacturing facilities and organizations. It examines each module's structure and functionality as well as the process support the module provides. Cases illustrate how the modules can be applied in manufacturing environments. Also covered is how the ERP modules can be configured to support manufacturing supply chains. Setting up an ERP system to support the supply chain within single manufacturing facility provides insight into how an ERP system is used in the smallest of manufacturing enterprises, as well as lays the foundation for ERP systems in manufacturing organizations. The book then supplies strategies for larger manufacturing enterprises and discusses how ERP systems can be used to support a complete manufacturing supply chain across different facilities and companies. The ERP systems on the market today tend to use common terminology and naming for describing specific functions and data units in the software. However, there are differences among packages. The book discusses various data and functionalities found in different ERP-software packages and uses generic and descriptive terms as often as possible to make these valid for as many ERP systems as possible. Filled with insight into ERP system's core modules and functions, this book shows how ERP systems can be applied to support a supply chain in the smallest of manufacturing organizations that only consist of a single manufacturing facility, as well as large enterprises where the manufacturing supply chain crosses multiple facilities and companies.

As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step methodology in order to create a roadmap and business case, and provides a narration of the constraints and experiences of managers who have attempted the setting up of DDOs. The emphasis is on the big decisions - the key decisions that influence 90% of business outcomes - starting from decision first and reengineering the data to the decisions process-chain and data governance, so as to ensure the right data are available at the right time, every time. Investing in artificial intelligence and data-driven decision making are now being considered a survival necessity for organizations to stay competitive. While every enterprise aspires to become 100% data-driven and every Chief Information Officer (CIO) has a budget, Gartner estimates over 80% of all analytics projects fail to deliver intended value. Most CIOs think a data-driven organization is a distant dream, especially while they are still struggling to explain the value from analytics. They know a few isolated successes, or a one-time leveraging of big data for decision making does not make an organization data-driven. As of now, there is no precise definition for data-driven organization or what qualifies an organization to call itself data-driven. Given the hype in the market for big data, analytics and AI, every CIO has a budget for analytics, but very little clarity on where to begin or how to choose and prioritize the analytics projects. Most end up investing in a visualization platform like Tableau or QlikView, which in essence is an improved version of their BI dashboard that the organization had invested into not too long ago. The most important stakeholders, the decision-makers, are rarely kept in the loop while choosing analytics projects. This book provides a fail-safe methodology for assured success in deriving intended value from investments into analytics. It is a practitioners' handbook for creating a step-by-step transformational roadmap prioritizing the big data for the big decisions, the 10% of decisions that influence 90% of business outcomes, and delivering material improvements in the quality of decisions, as well as measurable value from analytics investments. The acid test for a data-driven organization is when all the big decisions, especially top-level strategic decisions, are taken based on data and not on the collective gut feeling of the decision makers in the organization.

With all signs pointing to an increased use of and interest in project-based work in modern organizations, the better scholars are able to make sense of the current state of the field through theory development and empirical investigation, the more successful projects promise to become. This book is a welcome addition to our field and will be, I am sure, an important work and source for future reference well into the future. -Dr. Jeffrey Pinto, Pennsylvania State University The goal of practicing project managers and scholars alike lies in solving the puzzle of how to manage projects toward successful completion. However, understanding what comprises project "success"-seemingly such an innocent question-has come to represent one of the most challenging problems for project managers and scholars. Who determines success? At what point in time is success best measured? How do diverse stakeholders define success? What happens when their perspectives collide? What is the difference between project success and project management success? These are surprisingly complex problems. For every principle or rule posited, a brief investigation reveals that there are numerous exceptions, muddying the waters and making these ideas increasingly opaque. Project Management Methodologies, Governance and Success addresses this challenge head-on, putting into proper context the critical issues that shape our understanding of the project management research process. Employing a concept referred to as "philosophical triangulation," the book shows how to overcome the weaknesses or intrinsic biases that disrupt and minimize the impact of so much organizational research. It places organizational governance and success within their proper context allowing scholars to identify the best methods for investigating project-based work. It links together in a cogent manner the diverse themes of research theory and design, projects and project success, and organizational governance. In effect, this book demonstrates that to fully understand how to undertake research in projects, theory and method are inextricably interwoven.

Advanced Methods of Pharmacokinetic and Pharmocodynamic Systems Analysis Volume 3 is vital to professionals and academicians working in drug development and bioengineering. Both basic and clinical scientists will benefit from this work.
This book contains chapters by leading researchers in pharmacokinetic/pharmacodynamic modeling and will be of interest to anyone involved with the application of pharmacokinetic and pharmacodynamics to drug development.
The use of mathematical modeling and associated computational methods is central to the study of the absorption, distribution and elimination of therapeutic drugs (pharmacokinetics) and to understanding how drugs produce their effects (pharmacodynamics). From its inception, the field of pharmacokinetics and pharmacodynamics has incorporated methods of mathematical modeling, simulation and computation in an effort to better understand and quantify the processes of uptake, disposition and action of therapeutic drugs. These methods for pharmacokinetic/pharmacodynamic systems analysis impact all aspects of drug development. In vitro, animal and human testing, as well as drug therapy are all influenced by these methods. Modeling methodologies developed for studying pharmacokinetic/ pharmacodynamic processes confront many challenges. This is related in part to the severe restrictions on the number and type of measurements that are available from laboratory experiments and clinical trials, as well as the variability in the experiments and the uncertainty associated with the processes themselves.
The contributions are organized in three main areas: Mechanism-Based PK/PD, Pharmacometrics and Pharmacotherapy. Both professionals andacademics will profit from this extensive work.

System Verification: Proving the Design Solution Satisfies the Requirements, Second Edition explains how to determine what verification work must be done, how the total task can be broken down into verification tasks involving six straightforward methods, how to prepare a plan, procedure, and report for each of these tasks, and how to conduct an audit of the content of those reports for a particular product entity. This process-centered book is applicable to engineering and computing projects of all kinds, and the lifecycle approach helps all stakeholders in the design process understand how the verification and validation stage is significant to them. In addition to many flowcharts that illustrate the verification procedures involved, the book also includes 14 verification form templates for use in practice. The author draws on his experience of consulting for industry as well as lecturing to provide a uniquely practical and easy to use guide which is essential reading for systems and validation engineers, as well as everyone involved in the product design process.

1) What to do when you get hacked 2) A guide to incident response 3) Incident response and cybersecurity for small businesses

1) What to do when you get hacked 2) A guide to incident response 3) Incident response and cybersecurity for small businesses