Useful to healthcare providers, severity indices conclude which patients are most at risk for infection as well as the intensity of illness while in the hospital. ""Text Mining Techniques for Healthcare Provider Quality Determination: Methods for Rank Comparisons"" discusses the general practice of defining a patient severity index for risk adjustments and comparison of patient outcomes to assess quality factors. This ""Premier Reference Source"" examines the consequences of patient severity models and investigates the general assumptions required to perform standard severity adjustment.

In this monograph we introduce and examine four new temporal logic formalisms that can be used as specification languages for the automated verification of the reliability of hardware and software designs with respect to a desired behavior. The work is organized in two parts. In the first part two logics for computations, the graded computation tree logic and the computation tree logic with minimal model quantifiers are discussed. These have proved to be useful in describing correct executions of monolithic closed systems. The second part focuses on logics for strategies, strategy logic and memoryful alternating-time temporal logic, which have been successfully applied to formalize several properties of interactive plays in multi-entities systems modeled as multi-agent games.

This book shows cognitive scientists in training how mathematics, computer science and science can be usefully and seamlessly intertwined. It is a follow-up to the first two volumes on mathematics for cognitive scientists, and includes the mathematics and computational tools needed to understand how to compute the terms in the Fourier series expansions that solve the cable equation. The latter is derived from first principles by going back to cellular biology and the relevant biophysics. A detailed discussion of ion movement through cellular membranes, and an explanation of how the equations that govern such ion movement leading to the standard transient cable equation are included. There are also solutions for the cable model using separation of variables, as well an explanation of why Fourier series converge and a description of the implementation of MatLab tools to compute the solutions. Finally, the standard Hodgkin - Huxley model is developed for an excitable neuron and is solved using MatLab.

This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.

Voronoi diagrams partition space according to the influence certain sites exert on their environment. Since the 17th century, such structures play an important role in many areas like Astronomy, Physics, Chemistry, Biology, Ecology, Economics, Mathematics and Computer Science. They help to describe zones of political influence, to determine the hospital nearest to an accident site, to compute collision-free paths for mobile robots, to reconstruct curves and surfaces from sample points, to refine triangular meshes, and to design location strategies for competing markets. This unique book offers a state-of-the-art view of Voronoi diagrams and their structure, and it provides efficient algorithms towards their computation. Readers with an entry-level background in algorithms can enjoy a guided tour of gently increasing difficulty through a fascinating area. Lecturers might find this volume a welcome source for their courses on computational geometry. Experts are offered a broader view, including many alternative solutions, and up-to-date references to the existing literature; they might benefit in their own research or application development.

An increasing number of global institutions look to advancements in technology to enhance access to learning and development and, in doing so, seek collaborative opportunities to maximize the benefits of educational technology. Cases on Technology Enhanced Learning through Collaborative Opportunities analyzes and evaluates how organizations and institutions of learning in the developing and developed world are adapting to technology enhanced learning environments and exploring transnational collaborative opportunities, providing prospects for learning, growth and development through a blend of traditional and technological methods.

This book presents essential studies and applications in the context of sliding mode control, highlighting the latest findings from interdisciplinary theoretical studies, ranging from computational algorithm development to representative applications. Readers will learn how to easily tailor the techniques to accommodate their ad hoc applications. To make the content as accessible as possible, the book employs a clear route in each paper, moving from background to motivation, to quantitative development (equations), and lastly to case studies/illustrations/tutorials (simulations, experiences, curves, tables, etc.). Though primarily intended for graduate students, professors and researchers from related fields, the book will also benefit engineers and scientists from industry.

We are working with Cambridge Assessment International Education to gain endorsement for this title. Develop theoretical and practical IT skills with this comprehensive Student's Book written by experienced authors and examiners specially for the updated Cambridge International Education A Level Information Technology syllabus (9626). - Improve understanding of concepts and terminology with clear explanations, labelled illustrations, photographs, diagrams, plus a glossary of key terms - Develop theoretical and practical skills with a range of exercises (multi choice through to discussion type questions), exam-style questions, step-by-step instructions and example answers that all ensure skills are developed alongside knowledge - Follow a structured route through the course with in-depth coverage of the full syllabus Also available in the series: Cambridge International AS Level Information Technology Student's Book 9781510483057 Cambridge International AS Level Information Technology Student eTextbook 9781510484429 Cambridge International AS Level Information Technology Whiteboard eTextbook 9781510484436 Cambridge International AS Level Information Technology Skills Workbook 9781510483064 Cambridge International A Level Information Technology Student eTextbook 9781398307018 Cambridge International A Level Information Technology Whiteboard eTextbook 9781398307025 Cambridge International A Level Information Technology Skills Workbook 9781398309029 Cambridge International AS & A Level Information Technology Online Teacher's guide - coming soon

As technology becomes further meshed into our culture and everyday lives, new mediums and outlets for creative expression and innovation are necessary. The Handbook of Research on Computational Arts and Creative Informatics covers a comprehensive range of topics regarding the interaction of the sciences and the arts. Exploring new uses of technology and investigating creative insights into concepts of art and expression, this cutting-edge Handbook of Research offers a valuable resource to academicians, researchers, and field practitioners.

Augmented reality is not a technology.Augmented reality is a medium. Likewise, a book on augmented reality that only addresses the technology that is required to support the medium of augmented reality falls far short of providing the background that is needed to produce, or critically consume augmented reality applications.One "reads" a book.One "watches" a movie.One "experiences" augmented reality."Understanding Augmented Reality" addresses the elements that are required to create "compelling "augmented reality experiences. The technology that supports augmented reality will come and go, evolve and change.The underlying principles for creating exciting, useful augmented reality experiences are timeless.

Augmented reality designed from a purely technological perspective will lead to an AR experience that is novel and fun for one-time consumption-but is no more than a toy. Imagine a filmmaking book that discussed cameras and special effects software, but ignored cinematography and storytelling In order to create compelling augmented reality experiences that stand the test of time and cause the participant in the AR experience to focus on the "content" of the experience - rather than the technology - one must consider how to maximally exploit the affordances of the medium.

"Understanding Augmented Reality" addresses core conceptual issues regarding the medium of augmented reality as well as the technology required to support compelling augmented reality. By addressing AR as a medium at the conceptual level in addition to the technological level, the reader will learn to conceive of AR applications that are not limited by today s technology. At the same time, ample examples are provided that show what is possible with current technology.

Explore the different techniques, technologies and approaches used in developing AR applications. This book helps untangle the seemingly endless different approaches that are being taken in the market today.
Learn from the author's deep experience in virtual reality and augmented reality applications to succeed right off the bat, and avoid many of the traps that catch new developers and users of augmented reality experiences.
Some AR examples can be experienced from within the book using downloadable software
Associated website includes: additional cool application examples available for download, links to interesting applications, and videos that support the points being made in the book."

This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in computational mechanics, bioengineering and computer graphics.

Several topics are covered, including: design, optimization, and control theory in real-time with applications in engineering; data assimilation, geometry registration, and parameter estimation with special attention to real-time computing in biomedical engineering and computational physics; real-time visualization of physics-based simulations in computer science; the treatment of high-dimensional problems in state space, physical space, or parameter space; the interactions between different model reduction and dimensionality reduction approaches; the development of general error estimation frameworks which take into account both model and discretization effects.

This book is primarily addressed to computational scientists interested in computational reduction techniques for large scale differential problems.

This two-volume set focuses on fundamental concepts and design goals (i.e., a switch/router's key features), architectures, and practical applications of switch/routers in IP networks. The discussion includes practical design examples to illustrate how switch/routers are designed and how the key features are implemented. Designing Switch/Routers: Fundamental Concepts, Design Methods, Architectures, and Applications begins by providing an introductory level discussion that covers the functions and architectures of the switch/router. The first book considers the switch/router as a generic Layer 2 and Layer 3 forwarding device without placing emphasis on any particular manufacturer's device. The underlining concepts and design methods are not only positioned to be applicable to this generic switch/router, but also to the typical switch/router seen in the industry. The discussion provides a better insight into the protocols, methods, processes, and tools that go into designing switch/routers. The second volume explains the design and architectural considerations, as well as, the typical processes and steps used to build practical switch/routers. It then discusses the advantages of using Ethernet in today's networks and why Ethernet continues to play a bigger role in Local Area Network (LAN), Metropolitan Area Network (MAN), and Wide Area Network (WAN) design. This book set provides a discussion of the design of switch/routers and is written in a style to appeal to undergraduate and graduate-level students, engineers, and researchers in the networking and telecoms industry, as well as academics and other industry professionals. The material and discussion are structured in such a way that they could serve as standalone teaching material for networking and telecom courses and/or supplementary material for such courses.

This two-volume set focuses on fundamental concepts and design goals (i.e., a switch/router's key features), architectures, and practical applications of switch/routers in IP networks. The discussion includes practical design examples to illustrate how switch/routers are designed and how the key features are implemented. Designing Switch/Routers: Fundamental Concepts, Design Methods, Architectures, and Applications begins by providing an introductory level discussion that covers the functions and architectures of the switch/router. The first book considers the switch/router as a generic Layer 2 and Layer 3 forwarding device without placing emphasis on any particular manufacturer's device. The underlining concepts and design methods are not only positioned to be applicable to this generic switch/router, but also to the typical switch/router seen in the industry. The discussion provides a better insight into the protocols, methods, processes, and tools that go into designing switch/routers. The second volume explains the design and architectural considerations, as well as, the typical processes and steps used to build practical switch/routers. It then discusses the advantages of using Ethernet in today's networks and why Ethernet continues to play a bigger role in Local Area Network (LAN), Metropolitan Area Network (MAN), and Wide Area Network (WAN) design. This book set provides a discussion of the design of switch/routers and is written in a style to appeal to undergraduate and graduate-level students, engineers, and researchers in the networking and telecoms industry, as well as academics and other industry professionals. The material and discussion are structured in such a way that they could serve as standalone teaching material for networking and telecom courses and/or supplementary material for such courses.

"Managing Data in Motion" describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.

The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired.

The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. "Managing Data in Motion" tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects.
Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data typesExplains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

This book introduces new logic primitives for electronic design automation tools. The author approaches fundamental EDA problems from a different, unconventional perspective, in order to demonstrate the key role of rethinking EDA solutions in overcoming technological limitations of present and future technologies. The author discusses techniques that improve the efficiency of logic representation, manipulation and optimization tasks by taking advantage of majority and biconditional logic primitives. Readers will be enabled to accelerate formal methods by studying core properties of logic circuits and developing new frameworks for logic reasoning engines.

Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of sugnificant, lasting value in this rapidly expanding field.
In-depth surveys and tutorials on new computer technologyWell-known authors and researchers in the fieldExtensive bibliographies with most chaptersMany of the volumes are devoted to single themes or subfields of computer science

This book opens the door to a new interesting and ambitious world of reversible and quantum computing research. It presents the state of the art required to travel around that world safely. Top world universities, companies and government institutions are in a race of developing new methodologies, algorithms and circuits on reversible logic, quantum logic, reversible and quantum computing and nano-technologies. In this book, twelve reversible logic synthesis methodologies are presented for the first time in a single literature with some new proposals. Also, the sequential reversible logic circuitries are discussed for the first time in a book. Reversible logic plays an important role in quantum computing. Any progress in the domain of reversible logic can be directly applied to quantum logic. One of the goals of this book is to show the application of reversible logic in quantum computing. A new implementation of wavelet and multiwavelet transforms using quantum computing is performed for this purpose. Researchers in academia or industry and graduate students, who work in logic synthesis, quantum computing, nano-technology, and low power VLSI circuit design, will be interested in this book.

System on chips designs have evolved from fairly simple unicore, single memory designs to complex heterogeneous multicore SoC architectures consisting of a large number of IP blocks on the same silicon. To meet high computational demands posed by latest consumer electronic devices, most current systems are based on such paradigm, which represents a real revolution in many aspects in computing. The attraction of multicore processing for power reduction is compelling. By splitting a set of tasks among multiple processor cores, the operating frequency necessary for each core can be reduced, allowing to reduce the voltage on each core. Because dynamic power is proportional to the frequency and to the square of the voltage, we get a big gain, even though we may have more cores running. As more and more cores are integrated into these designs to share the ever increasing processing load, the main challenges lie in efficient memory hierarchy, scalable system interconnect, new programming paradigms, and efficient integration methodology for connecting such heterogeneous cores into a single system capable of leveraging their individual flexibility. Current design methods tend toward mixed HW/SW co-designs targeting multicore systems on-chip for specific applications. To decide on the lowest cost mix of cores, designers must iteratively map the device's functionality to a particular HW/SW partition and target architectures. In addition, to connect the heterogeneous cores, the architecture requires high performance complex communication architectures and efficient communication protocols, such as hierarchical bus, point-to-point connection, or Network-on-Chip. Software development also becomes far more complex due to the difficulties in breaking a single processing task into multiple parts that can be processed separately and then reassembled later. This reflects the fact that certain processor jobs cannot be easily parallelized to run concurrently on multiple processing cores and that load balancing between processing cores - especially heterogeneous cores - is very difficult.

This book questions the relevance of computation to the physical universe. Our theories deliver computational descriptions, but the gaps and discontinuities in our grasp suggest a need for continued discourse between researchers from different disciplines, and this book is unique in its focus on the mathematical theory of incomputability and its relevance for the real world. The core of the book consists of thirteen chapters in five parts on extended models of computation; the search for natural examples of incomputable objects; mind, matter, and computation; the nature of information, complexity, and randomness; and the mathematics of emergence and morphogenesis. This book will be of interest to researchers in the areas of theoretical computer science, mathematical logic, and philosophy.