With its cost efficiency, enabling of collaboration and sharing of resources, and its ability to improve access, cloud computing is likely to play a big role in the classrooms of tomorrow. Cloud Computing for Teaching and Learning: Strategies for Design and Implementation provides the latest information about cloud development and cloud applications in teaching and learning. The book alsos include empirical research findings in these areas for professionals and researchers working in the field of e-learning who want to implement teaching and learning with cloud computing, as well as provide insights and support to executives concerned with cloud development and cloud applications in e-learning communities and environments.

This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to show how these ideas can be brought to bear on the modeling, analysis and design of information systems with a focused view on cloud-computing systems and big data analytics. This informative book is a valuable resource for graduate students, researchers and industry-based practitioners working in engineering, information and business systems as well as strategy.

Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection of billions of physical objects (i.e., Web of Things). With increasing numbers of electronic devices and systems providing different services to people, Web of Things applications present numerous challenges to research institutions, companies, governments, international organizations, and others. This book compiles the newest developments and advances in the area of the Web of Things, ranging from modeling, searching, and data analytics, to software building, applications, and social impact. Its coverage will enable effective exploration, understanding, assessment, comparison, and the selection of WoT models, languages, techniques, platforms, and tools. Readers will gain an up-to-date understanding of the Web of Things systems that accelerates their research.

Taking the Qinghai-Tibet Railway as an example, this book introduces intelligent processing for Global Positioning Data (GPS) data. Combining theory with practical applications, it provides essential insights into the Chinese Qinghai-Tibet Railway and novel methods of data processing for GPS satellite positioning, making it a valuable resource for all those working with train control systems, train positioning systems, satellite positioning, and intelligent data processing. As satellite positioning guarantees the safe and efficient operation of train control systems, it focuses on how to best process the GPS data collected, including methods for error detection, reduction and information fusion.

This book analyses the role of Enterprise Resource Planning (ERP) and Business Intelligence (BI) systems in improving information quality through an empirical analysis carried out in Italy. The study begins with a detailed examination of ERP features that highlights the advantages and disadvantages of ERP adoption. Critical success factors for ERP implementation and post-implementation are then discussed, along with the capabilities of ERP in driving the alignment between management accounting and financial accounting information.The study goes on to illustrate the features of BI systems and to summarize companies' needs for BI. Critical success factors for BI implementation are then presented, along with the BI maturity model and lifecycle. The focus of the research entails a detailed empirical analysis in the Italian setting designed to investigate the role played by ERP and BI systems in reducing information overload/underload and improving information quality by influencing the features of information flow. The practical and theoretical implications of the study are discussed and future avenues of research are suggested. This book will be of value for all those who have an interest in the capacities of ERP and BI systems to enhance business information quality.

This book provides an introduction to telecommunications network engineering, including voice, data, and mobile cellular systems. It takes a non-technical approach to explain the variety of technologies and services available to users as a result of rapid growth and deregulation of the telecommunications business. Readers learn how the different technologies work, how telecommunication networks operate, and what options can best be utilized.

Throughout history, the permeation of new technologies have assisted communities in their aim to collectively work together in addressing shared problems for the attainment of specific goals and outcomes. Social Capital Modeling in Virtual Communities: Bayesian Belief Network Approaches broadly examines what constitutes social capital in geographical communities and offers an in-depth description of its potential in virtual communities. Providing the latest findings for advanced undergraduate and graduate students as well as researchers and academicians involved with virtual communities and social capital, this book draws upon insights from interdisciplinary fields such as artificial intelligence, human computer interaction, educational technology, and economics and sociology.

Persuasive Communication for Science and Technology Leaders Explore this insightful guide to the development of persuasive leadership skills perfect for students and managers in technical fields Many technical managers receive little or no training in the persuasive arts. Though technically skilled, they often lack the ability to engage effectively with an audiences outside their field. Persuasive Communication for Science and Technology Leaders: Writing and Speaking with Confidence delivers a thorough treatment of how to connect with audiences whose knowledge, values, personal experiences, ethnic background, gender, and worldview may differ from their own. Written in a highly readable and entertaining style, this book goes beyond the scope of a standard textbook on persuasive communication. Its practical lessons illustrate the techniques of effective scientific and technical writing while emphasizing values-based leadership for a more just, inclusive, and sustainable world, a theme that seems particularly pertinent during these times of multiple crises, misinformation campaigns, and science denial. The distinguished speaker and author explores the broader importance of language and explains various techniques for expanding your expressive range and your professional influence. He will also teach you methods for conveying information clearly and precisely as well as in ways that inspire and leave a lasting impression. You will also benefit from: A thorough introduction to knowing and connecting with your audience, using voice, tone, and point of view for results, and engaging your reader with compelling openings An exploration of explaining complex technologies clearly, succeeding with challenging writing assignments, and applying a variety of persuasive strategies for agile responses to a rapidly changing world An examination of speaking effectively while thinking on your feet, including how to create a safety net and how to recover from momentary lapses Easy-to-remember guidance on avoiding common language errors that might undermine your credibility or, worse yet, make people stop listening to you Perfect for undergraduate and graduate students in scientific and technical fields such as engineering, geology, botany, climatology, and epidemiology, Persuasive Communication for Science and Technology Leaders: Writing and Speaking with Confidence will earn a place in the libraries of technical managers and leaders who seek to better connect with their audiences.

The second edition of this highly successful text focuses on the major changes that have taken place in this field in recent times. Data Acquisition Techniques Using PCs, Second Edition, recognises that data acquisition is the core of most engineering and many life science systems in measurement and instrumentation. It will prove invaluable to scientists, engineers, students and technicians wishing to keep up with the latest technological developments.
* Teaches the reader how to set up a PC-based system that measures, analyzes, and controls experiments and processes through detailed design examples
* Geared for beginning and advanced users, with many tutorials for less experienced readers, and detailed standards references for more experienced readers
* Fully revised new edition discusses latest programming languages and includes a list of over 80 product manufacurers to save valuable time

Continuous improvements in technological applications have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption. Design Solutions for User-Centric Information Systems provides a comprehensive examination of the latest strategies and methods for creating technological systems with end users as the focal point of the design process. Highlighting innovative practices and applications across a variety of areas, such as cloud-based computing services, e-government adoption, and logistics evaluation, this book is an ideal reference source for computer engineers, practitioners, project managers, graduate students, and researchers interested in the enhancement of user-centric information system development.

This guide helps you protect networks from unauthorized access. It discusses counter security threats, optimum use of encryption, integrity checks, and uniqueness mechanisms.

Microelectromechanical sytems (MEMS) applications in RF and microwave electronics are revolutionizing wireless communications. This text provides a comprehensive explanation of the fabrication and fundamental physics of MEMS and their applications in electronic communication systems. The book integrates circuit fabrication technology, device design-oriented materials, mechanical and microwave considerations, and RF/microwave electronics to give engineers and managers a clear understanding of the potential and limitations of MEMS in electronic communications.

This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing methods and algorithm-level solutions, taking also into account those ensemble-learning solutions that embed any of the former alternatives. Furthermore, it focuses on the extension of the problem for multi-class problems, where the former classical methods are no longer to be applied in a straightforward way. This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario. Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches. Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue. Specifically, it considers the classification of data streams, non-classical classification problems, and the scalability related to Big Data. Examples of software libraries and modules to address imbalanced classification are provided. This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering. It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions.

Here's the first focused discussion of issues and technology in developing networked multimedia systems. This book includes a unique explanation of color specification and its role in achieving high picture quality, high compression ratio and high information retrieval performance, plus valuable coverage of principles and techniques of multimedia information indexing and retrieval critical for future systems.

This is the first book to explore how Semantic Web technologies (SWTs) can be used to create intelligent engineering applications (IEAs). Technology-specific chapters reflect the state of the art in relevant SWTs and offer guidelines on how they can be applied in multi-disciplinary engineering settings characteristic of engineering production systems. In addition, a selection of case studies from various engineering domains demonstrate how SWTs can be used to create IEAs that enable, for example, defect detection or constraint checking. Part I "Background and Requirements of Industrie 4.0 for Semantic Web Solutions" provides the background information needed to understand the book and addresses questions concerning the semantic challenges and requirements of Industrie 4.0, and which key SWT capabilities may be suitable for implementing engineering applications. In turn, Part II "Semantic Web-Enabled Data Integration in Multi-Disciplinary Engineering" focuses on how SWTs can be used for data integration in heterogeneous, multi-disciplinary engineering settings typically encountered in the creation of flexible production systems. Part III "Creating Intelligent Applications for Multi-Disciplinary Engineering" demonstrates how the integrated engineering data can be used to support the creation of IEAs, while Part IV "Related and Emerging Trends in the Use of Semantic Web in Engineering" presents an overview of the broader spectrum of approaches that make use of SWTs to support engineering settings. A final chapter then rounds out the book with an assessment of the strengths, weaknesses and compatibilities of SWTs and an outlook on future opportunities for applying SWTs to create IEAs in flexible industrial production systems. This book seeks to build a bridge between two communities: industrial production on one hand and Semantic Web on the other. Accordingly, stakeholders from both communities should find this book useful in their work. Semantic Web researchers will gain a better understanding of the challenges and requirements of the industrial production domain, offering them guidance in the development of new technologies and solutions for this important application area. In turn, engineers and managers from engineering domains will arrive at a firmer grasp of the benefits and limitations of using SWTs, helping them to select and adopt appropriate SWTs more effectively. In addition, researchers and students interested in industrial production-related issues will gain valuable insights into how and to what extent SWTs can help to address those issues.

The advancement of technology is a standard of modern daily life, whether it be the release of a new cellphone, computer, or a self-driving car. Due to this constant advancement, the networks on which these technologies operate must advance as well. Innovations in Software-Defined Networking and Network Functions Virtualization is a critical scholarly publication that observes the advances made in network infrastructure through achieving cost efficacy while maintaining maximum flexibility for the formation and operation of these networks. Featuring coverage on a broad selection of topics, such as software-defined storage, openflow controller, and storage virtualization, this publication is geared toward professionals, computer engineers, academicians, students, and researchers seeking current and relevant research on the advancements made to network infrastructures.

Broadband technology is ushering the telecom industry through a unique period of change with profound business implications for suppliers and users. This single source describes the four major broadband technologies that are shaping telecommunications networks: frame relay; optical fiber (including SONET); distributed queue dual bus (DQDB); and asynchronous transfer mode (ATM).

This book contains refereed papers from the 13th International Conference on GeoComputation held at the University of Texas, Dallas, May 20-23, 2015. Since 1996, the members of the GeoComputation (the art and science of solving complex spatial problems with computers) community have joined together to develop a series of conferences in the United Kingdom, New Zealand, Australia, Ireland and the United States of America. The conference encourages diverse topics related to novel methodologies and technologies to enrich the future development of GeoComputation research.

Mass customization and personalization are widely appreciated as viable and promising strategies which aim to provide products and services that best serve individuals' personal needs with near mass production efficiency. ""Mass Customization for Personalized Communication Environments: Integrating Human Factors"" focuses on the customization of services and communication environments to advance user satisfaction and provide a total redefinition of the way goods and services are created or sold and customers and vendors interact. This authoritative collection of chapters offers relevant theoretical foundations, principles, methodologies, frameworks, and best practices within the field of research.

Readers seeking to gain a handle on the internet's global expansion will find this book rich in scholarly foundations combined with cutting-edge discussion of emerging ICTs and services and the complex societal contexts in which they are embedded. To explore possibilities to the fullest extent, a sociotechnical systems approach is employed, focusing on the interplay of technical, social, cultural, political, and economic dynamics to explore alternative futures (ones that are not part of the dominant discourse about the internet). These shared perspectives are not well addressed elsewhere in current discussions. Awareness of these dynamics, and the fluidity of the future, is important, as humankind moves forward into the uncertain future. Due to the sociotechnical complexity of the Internet, policymakers, businesspeople, and academics worldwide have struggled to keep abreast of developments. This volume's approach is intended to stimulate dialogue between academics and practitioners on a topic that will affect most aspects of human life in the near-term future.

This timely text/reference presents a comprehensive review of the workflow scheduling algorithms and approaches that are rapidly becoming essential for a range of software applications, due to their ability to efficiently leverage diverse and distributed cloud resources. Particular emphasis is placed on how workflow-based automation in software-defined cloud centers and hybrid IT systems can significantly enhance resource utilization and optimize energy efficiency. Topics and features: describes dynamic workflow and task scheduling techniques that work across multiple (on-premise and off-premise) clouds; presents simulation-based case studies, and details of real-time test bed-based implementations; offers analyses and comparisons of a broad selection of static and dynamic workflow algorithms; examines the considerations for the main parameters in projects limited by budget and time constraints; covers workflow management systems, workflow modeling and simulation techniques, and machine learning approaches for predictive workflow analytics. This must-read work provides invaluable practical insights from three subject matter experts in the cloud paradigm, which will empower IT practitioners and industry professionals in their daily assignments. Researchers and students interested in next-generation software-defined cloud environments will also greatly benefit from the material in the book.

This new and expanded monograph improves upon Mohan's earlier book, Residue Number Systems (Springer, 2002) with a state of the art treatment of the subject. Replete with detailed illustrations and helpful examples, this book covers a host of cutting edge topics such as the core function, the quotient function, new Chinese Remainder theorems, and large integer operations. It also features many significant applications to practical communication systems and cryptography such as FIR filters and elliptic curve cryptography. Starting with a comprehensive introduction to the basics and leading up to current research trends that are not yet widely distributed in other publications, this book will be of interest to both researchers and students alike.

This book delivers concise coverage of classical methods and new developments related to indoor location-based services. It collects results from isolated domains including geometry, artificial intelligence, statistics, cooperative algorithms, and distributed systems and thus provides an accessible overview of fundamental methods and technologies. This makes it an ideal starting point for researchers, students, and professionals in pervasive computing. Location-based services are services using the location of a mobile computing device as their primary input. While such services are fairly easy to implement outside buildings thanks to accessible global positioning systems and high-quality environmental information, the situation inside buildings is fundamentally different. In general, there is no simple way of determining the position of a moving target inside a building without an additional dedicated infrastructure. The book's structure is learning oriented, starting with a short introduction to wireless communication systems and basic positioning techniques and ending with advanced features like event detection, simultaneous localization and mapping, and privacy aspects. Readers who are not familiar with the individual topics will be able to work through the book from start to finish. At the same time all chapters are self-contained to support readers who are already familiar with some of the content and only want to pick selected topics that are of particular interest.