This book presents the proceedings of the Third International Conference on Electrical Engineering and Control (ICEECA2017). It covers new control system models and troubleshooting tips, and also addresses complex system requirements, such as increased speed, precision and remote capabilities, bridging the gap between the complex, math-heavy controls theory taught in formal courses, and the efficient implementation required in real-world industry settings. Further, it considers both the engineering aspects of signal processing and the practical issues in the broad field of information transmission and novel technologies for communication networks and modern antenna design. This book is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, signal processing, as well as mechanical and chemical engineering.

Educational initiatives attempt to introduce or promote a culture of quality within education by raising concerns related to student learning, providing services related to assessment, professional development of teachers, curriculum and pedagogy, and influencing educational policy, in the realm of technology.

Adaptive Learning of Polynomial Networks delivers theoretical and practical knowledge for the development of algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The empirical investigations detailed here demonstrate that PNN models evolved by genetic programming and improved by backpropagation are successful when solving real-world tasks.

The text emphasizes the model identification process and presents

• a shift in focus from the standard linear models toward highly nonlinear models that can be inferred by contemporary learning approaches,

• alternative probabilistic search algorithms that discover the model architecture and neural network training techniques to find accurate polynomial weights,

• a means of discovering polynomial models for time-series prediction, and

• an exploration of the areas of artificial intelligence, machine learning, evolutionary computation and neural networks, covering definitions of the basic inductive tasks, presenting basic approaches for addressing these tasks, introducing the fundamentals of genetic programming, reviewing the error derivatives for backpropagation training, and explaining the basics of Bayesian learning.

This volume is an essential reference for researchers and practitioners interested in the fields of evolutionary computation, artificial neural networks and Bayesian inference, and will also appeal to postgraduate and advanced undergraduate students of genetic programming. Readers willstrengthen their skills in creating both efficient model representations and learning operators that efficiently sample the search space, navigating the search process through the design of objective fitness functions, and examining the search performance of the evolutionary system.

Over the past two decades, many advances have been made in the decision support system (DSS) field. They range from progress in fundamental concepts, to improved techniques and methods, to widespread use of commercial software for DSS development. Still, the depth and breadth of the DSS field continues to grow, fueled by the need to better support decision making in a world that is increasingly complex in terms of volume, diversity, and interconnectedness of the knowledge on which decisions can be based. This continuing growth is facilitated by increasing computer power and decreasing per-unit computing costs. But, it is spearheaded by the multifaceted efforts of DSS researchers. The collective work of these researchers runs from the speculative to the normative to the descriptive. It includes analysis of what the field needs, designs of means for meeting recognized needs, and implementations for study. It encompasses theoretical, empirical, and applied orientations. It is concerned with the invention of concepts, frameworks, models, and languages for giving varied, helpful perspectives. It involves the discovery of principles, methods, and techniques for expeditious construction of successful DSSs. It aims to create computer-based tools that facilitate DSS development. It assesses DSS efficacy by observing systems, their developers, and their users. This growing body of research continues to be fleshed out and take shape on a strong, but still-developing, skeletal foundation.

The unconventional computing is a niche for interdisciplinary science, cross-bred of computer science, physics, mathematics, chemistry, electronic engineering, biology, material science and nanotechnology. The aims of this book are to uncover and exploit principles and mechanisms of information processing in and functional properties of physical, chemical and living systems to develop efficient algorithms, design optimal architectures and manufacture working prototypes of future and emergent computing devices. This second volume presents experimental laboratory prototypes and applied computing implementations. Emergent molecular computing is presented by enzymatic logical gates and circuits, and DNA nano-devices. Reaction-diffusion chemical computing is exemplified by logical circuits in Belousov-Zhabotinsky medium and geometrical computation in precipitating chemical reactions. Logical circuits realised with solitons and impulses in polymer chains show advances in collision-based computing. Photo-chemical and memristive devices give us a glimpse on hot topics of a novel hardware. Practical computing is represented by algorithms of collective and immune-computing and nature-inspired optimisation. Living computing devices are implemented in real and simulated cells, regenerating organisms, plant roots and slime mould. The book is the encyclopedia, the first ever complete authoritative account, of the theoretical and experimental findings in the unconventional computing written by the world leaders in the field. All chapters are self-contains, no specialist background is required to appreciate ideas, findings, constructs and designs presented. This treatise in unconventional computing appeals to readers from all walks of life, from high-school pupils to university professors, from mathematicians, computers scientists and engineers to chemists and biologists.

This book describes the emerging practice of e-mail tutoring; one-to-one correspondence between college students and writing tutors conducted over electronic mail. It reviews the history of Composition Studies, paying special attention to those ways in which writing centers and computers and composition have been previously hailed within a narrative of functional literacy and quick-fix solutions. The author suggests a new methodology for tutoring, and a new mandate for the writing center: a strong connection between the rhythms of extended, asynchronous writing and dialogic literacy. The electronic writing center can become a site for informed resistance to functional literacy.

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Besides, the electromagnetic parameters of complex medium such as the permittivity and conductivity are retrieved by a cascaded framework in Chapter 4. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 5. Finally, in Chapter 6, a series of the latest advanced frameworks and the corresponding physics applications are introduced. As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

System-Level Synthesis deals with the concurrent design of electronic applications, including both hardware and software. The issue has become the bottleneck in the design of electronic systems, including both hardware and software, in several major industrial fields, including telecommunications, automotive and aerospace engineering. The major difficulty with the subject is that it demands contributions from several research fields, including system specification, system architecture, hardware design, and software design. Most existing book cover well only a few aspects of system-level synthesis. The present volume presents a comprehensive discussion of all the aspects of system-level synthesis. Each topic is covered by a contribution written by an international authority on the subject.

Taxonomy for the Technology Domain suggests a new classification system that includes literacy, collaboration, decision-making, infusion, integration, and technology. As with most taxonomies, each step offers a progressively more sophisticated level of complexity by constructing increasingly multifaceted objectives addressing increasingly complex student learning outcomes. ""Taxonomy for the Technology Domain"" affects all aspects of how technology is used in elementary and secondary classrooms, corporate training rooms, and higher education classrooms.

Molecular networks provide descriptions of the organization of various biological processes, including cellular signaling, metabolism, and genetic regulation. Knowledge on molecular networks is commonly used for systems level analysis of biological function; research and method development in this area has grown tremendously in the past few years. This book will provide a detailed review of existing knowledge on the functional characterization of biological networks. In 15 chapters authored by an international group of prolific systems biology and bioinformatics researchers, it will organize, conceptualize, and summarize the existing core of research results and computational methods on understanding biological function from a network perspective.

The size of technically producible integrated circuits increases continuously, but the ability to design and verify these circuits does not keep up. Therefore today 's design flow has to be improved. Using a visionary approach, this book analyzes the current design methodology and verification methodology, a number of deficiencies are identified and solutions suggested. Improvements in the methodology as well as in the underlying algorithms are proposed.

Symbolic Boolean manipulation using binary decision diagrams (BDDs) has been successfully applied to a wide variety of tasks, particularly in very large scale integration (VLSI) computer-aided design (CAD). The concept of decision graphs as an abstract representation of Boolean functions dates back to the early work by Lee and Akers. In the last ten years, BDDs have found widespread use as a concrete data structure for symbolic Boolean manipulation. With BDDs, functions can be constructed, manipulated, and compared by simple and efficient graph algorithms. Since Boolean functions can represent not just digital circuit functions, but also such mathematical domains as sets and relations, a wide variety of CAD problems can be solved using BDDs. Binary Decision Diagrams and Applications for VLSI CAD provides valuable information for both those who are new to BDDs as well as to long time aficionados.' -from the Foreword by Randal E. Bryant. Over the past ten years ... BDDs have attracted the attention of many researchers because of their suitability for representing Boolean functions. They are now widely used in many practical VLSI CAD systems. ... this book can serve as an introduction to BDD techniques and ... it presents several new ideas on BDDs and their applications. ... many computer scientists and engineers will be interested in this book since Boolean function manipulation is a fundamental technique not only in digital system design but also in exploring various problems in computer science.' - from the Preface by Shin-ichi Minato.

Whether you are an experienced Security or System Administrator or a Newbie to the industry, you will learn how to use native, "out-of-the-box," operating system capabilities to secure your UNIX environment. No need for third-party software or freeware tools to be and stay secure! This book will help you ensure that your system is protected from unauthorized users and conduct intrusion traces to identify the intruders if this does occur. It provides you with practical information to use of the native OS security capabilities without the need for a third party security software application. Also included are hundreds of security tips, tricks, ready-to-use scripts and configuration files that will be a valuable resource in your endeavor to secure your UNIX systems.

Digital Intermediation offers a new framework for understanding content creation and distribution across automated media platforms - a new mediatisation process. The book draws on empirical and theoretical research to carefully identify and describe a number of unseen digital infrastructures that contribute to a predictive media production process through technologies, institutions and automation. Field data is drawn from several international sites, including Los Angeles, San Francisco, Portland, London, Amsterdam, Munich, Berlin, Hamburg, Sydney and Cartagena. By highlighting an increasingly automated content production and distribution process, the book responds to a number of regulatory debates on the societal impact of social media platforms. It highlights emerging areas of key importance that shape the production and distribution of social media content, including micro-platformization and digital first personalities. The book explains how technologies, institutions and automation are used within agencies to increase exposure for the talent they manage, while providing inside access to the processes and requirements of producers who create content for platform algorithms. Finally, it outlines user agency as a strategy for those who seek diversity in the information they access on automated social media content distribution platforms. The findings in this book provide key recommendations for policymakers working within digital media platforms, and will be invaluable reading for students and academics interested in automated media environments.

Although the origins of parallel computing go back to the last century, it was only in the 1970s that parallel and vector computers became available to the scientific community. The first of these machines-the 64 processor llliac IV and the vector computers built by Texas Instruments, Control Data Corporation, and then CRA Y Research Corporation-had a somewhat limited impact. They were few in number and available mostly to workers in a few government laboratories. By now, however, the trickle has become a flood. There are over 200 large-scale vector computers now installed, not only in government laboratories but also in universities and in an increasing diversity of industries. Moreover, the National Science Foundation's Super computing Centers have made large vector computers widely available to the academic community. In addition, smaller, very cost-effective vector computers are being manufactured by a number of companies. Parallelism in computers has also progressed rapidly. The largest super computers now consist of several vector processors working in parallel. Although the number of processors in such machines is still relatively small (up to 8), it is expected that an increasing number of processors will be added in the near future (to a total of 16 or 32). Moreover, there are a myriad of research projects to build machines with hundreds, thousands, or even more processors. Indeed, several companies are now selling parallel machines, some with as many as hundreds, or even tens of thousands, of processors."

Protocols that remain zero-knowledge when many instances are executed concurrently are called concurrent zero-knowledge, and this book is devoted to their study. The book presents constructions of concurrent zero-knowledge protocols, along with proofs of security. It also shows why "traditional" proof techniques (i.e., black-box simulation) are not suitable for establishing the concurrent zero-knowledge property of "message-efficient" protocols.

Fuzzy Sets in the Management of Uncertainty presents an overview of current problems in business management, primarily for those situations involving decision making of an economic-financial nature. The monograph therefore discusses problems of planning, programming, control and brings light to the entire financial network in its three phases: raising funds, analysis and investment. Special attention is paid to production processes and marketing of products and services. This monograph is a highly readable overview and introduction for scientists, professionals, graduate students, managers and consultants in the growing field of applications and fuzzy logic in the field of management.

The thesis work was in two major parts: development and testing of a new approach to detecting and
tracking tropical cyclones in climate models; and application of an extreme value statistical approach to
enable assessment of changes in weather extremes from climate models.
The tracking algorithm applied a creative phase-space approach to differentiate between modeled tropical
cyclones and their mid-latitude cousins. A feature here was the careful attention to sensitivity to choice of
selection parameters, which is considerable. The major finding was that the changes over time were
relatively insensitive to these details. This new approach will improve and add confidence to future
assessments of climate impacts on hurricanes.
The extremes approach utilized the Generalized Pareto Distribution (one of the standard approaches to
statistics of extremes) applied to present and future hurricane distributions as modeled by a regional
climate model, then applied the changes to current observations to extract the changes in the extremes.
Since climate models cannot resolve these extremes directly, this provides an excellent method of
determining weather extremes in general. This is of considerable societal importance as we are most
vulnerable to such extremes and knowledge of their changes enables improved planning and adaptation
strategies.

The growth of mobile technology has caused considerable changes in the way we interact with one another within both personal and business environments. Advancements in mobile computing and mobile multimedia resonate with engineers, strategists, developers, and managers while also determining the behavior and interaction of end users. Advancing the Next-Generation of Mobile Computing: Emerging Technologies offers historical perspectives on mobile computing, as well as new frameworks and methodologies for mobile networks, intelligent mobile applications, and mobile computing applications. This collection of research aims to inform researchers, designers, and users of mobile technology and promote awareness of new trends and tools in this growing field of study.

Mobile devices are the 'it' technology, and everyone wants to know how to apply them to their environments. This book brings together the best examples and insights for implementing mobile technology in libraries. Chapters cover a wide variety of the most important tools and procedures from developing applications to marketing and augmented reality. Readers of this volume will get complete and timely knowledge of library applications for handheld devices. The Handheld Librarian conferences have been a centrepiece of learning about how to apply mobile technologies to library services and collections as well as a forum for sharing examples and lessons learned. The conferences have brought our profession forward into the trend and kept us up to date with ongoing advances. This volume brings together the best from that rich story and presents librarians with the basic information they need to successfully make the case for and implement programs leveraging mobile devices in their libraries. Authors of the diverse practical and well researched pieces originate in all types of libraries and segments of the profession. This wide representation ensures that front line librarians, library administrators, systems staff, even library professors will find this volume perfectly geared for their needs. This book was published as a special issue of The Reference Librarian.

Timing research in high performance VLSI systems has advanced at a steady pace over the last few years. Tools, however, especially theoretical mechanisms, lag behind. Much of the present timing research relies heavily on timing diagrams, which although intuitive, are inadequate for analysis of large designs with many parameters. Further, timing diagrams offer only approximations, not exact solutions to many timing problems and provide little insight in the cases where temporal properties of a design interact intricately with the design's logical functionalities. Timed Boolean Functions presents a methodology for timing research which facilitates analysis and design of circuits and systems in a unified temporal and logical domain. The goal of the book is to present the central idea of representing logical and timing information in a common structure, TBFs, and to present a canonical form suitable for efficient manipulation. This methodology is then applied to practical applications to provide intuition and insight into the subject so that these general methods can be adapted to specific engineering problems and also to further the research necessary to enhance the understanding of the field. Timed Boolean Functions is written for professionals involved in timing research and digital designers who want to enhance their understanding of the timing aspects of high speed circuits. The prerequisites are a common background in logic design, computer algorithms, combinatorial optimization and a certain degree of mathematical sophistication.

Gay provides an authoritative overview of the major developments, people, and organizations that have shaped the design and use of computers. He also describes innovations in computer research and technology (including highlights from developments in supercomputers, supercomputer networks, and Internet 2), the latest trends in consumer products (new applications that influence the way individuals and businesses interface with their world), social issues related to computers (Microsoft's influence, privacy, encryption, universal access, and adaptive technologies), and information on computer careers and how to prepare for them.

It has long been apparent to academic library administrators that the current technical services operations within libraries need to be redirected and refocused in terms of both format priorities and human resources. A number of developments and directions have made this reorganization imperative, many of which have been accelerated by the current economic crisis. All of the chapters detail some aspect of technical services reorganization due to downsizing and/or reallocation of human resources, retooling professional and support staff in higher level duties and/or non-MARC metadata, "value-added" metadata opportunities, outsourcing redundant activities, and shifting resources from analog to digital object organization and description. This book will assist both catalogers and library administrators with concrete examples of moving technical services operations and personnel from the analog to the digital environment. This book was published as a special double issue of Cataloging & Classification Quarterly.

Linear algebra is growing in importance. 3D entertainment, animations in movies and video games are developed using linear algebra. Animated characters are generated using equations straight out of this book. Linear algebra is used to extract knowledge from the massive amounts of data generated from modern technology. The Fourth Edition of this popular text introduces linear algebra in a comprehensive, geometric, and algorithmic way. The authors start with the fundamentals in 2D and 3D, then move on to higher dimensions, expanding on the fundamentals and introducing new topics, which are necessary for many real-life applications and the development of abstract thought. Applications are introduced to motivate topics. The subtitle, A Geometry Toolbox, hints at the book's geometric approach, which is supported by many sketches and figures. Furthermore, the book covers applications of triangles, polygons, conics, and curves. Examples demonstrate each topic in action. This practical approach to a linear algebra course, whether through classroom instruction or self-study, is unique to this book. New to the Fourth Edition: Ten new application sections. A new section on change of basis. This concept now appears in several places. Chapters 14-16 on higher dimensions are notably revised. A deeper look at polynomials in the gallery of spaces. Introduces the QR decomposition and its relevance to least squares. Similarity and diagonalization are given more attention, as are eigenfunctions. A longer thread on least squares, running from orthogonal projections to a solution via SVD and the pseudoinverse. More applications for PCA have been added. More examples, exercises, and more on the kernel and general linear spaces. A list of applications has been added in Appendix A. The book gives instructors the option of tailoring the course for the primary interests of their students: mathematics, engineering, science, computer graphics, and geometric modeling.