This book paves the way for researchers working on the sustainable interdependent networks spread over the fields of computer science, electrical engineering, and smart infrastructures. It provides the readers with a comprehensive insight to understand an in-depth big picture of smart cities as a thorough example of interdependent large-scale networks in both theory and application aspects. The contributors specify the importance and position of the interdependent networks in the context of developing the sustainable smart cities and provide a comprehensive investigation of recently developed optimization methods for large-scale networks. There has been an emerging concern regarding the optimal operation of power and transportation networks. In the second volume of Sustainable Interdependent Networks book, we focus on the interdependencies of these two networks, optimization methods to deal with the computational complexity of them, and their role in future smart cities. We further investigate other networks, such as communication networks, that indirectly affect the operation of power and transportation networks. Our reliance on these networks as global platforms for sustainable development has led to the need for developing novel means to deal with arising issues. The considerable scale of such networks, due to the large number of buses in smart power grids and the increasing number of electric vehicles in transportation networks, brings a large variety of computational complexity and optimization challenges. Although the independent optimization of these networks lead to locally optimum operation points, there is an exigent need to move towards obtaining the globally-optimum operation point of such networks while satisfying the constraints of each network properly. The book is suitable for senior undergraduate students, graduate students interested in research in multidisciplinary areas related to future sustainable networks, and the researchers working in the related areas. It also covers the application of interdependent networks which makes it a perfect source of study for audience out of academia to obtain a general insight of interdependent networks.

Essential background reading for engineers and scientists working in such fields as communications, control, signal, and image processing, radar and sonar, radio astronomy, seismology, remote sensing, and instrumentation. The book can be used as a textbook for a single course, as well as a combination of an introductory and an advanced course, or even for two separate courses, one in signal detection, the other in estimation.

The need for automatic speech recognition systems to be robust with respect to changes in their acoustical environment has become more widely appreciated in recent years, as more systems are finding their way into practical applications. Although the issue of environmental robustness has received only a small fraction of the attention devoted to speaker independence, even speech recognition systems that are designed to be speaker independent frequently perform very poorly when they are tested using a different type of microphone or acoustical environment from the one with which they were trained. The use of microphones other than a "close talking" headset also tends to severely degrade speech recognition -performance. Even in relatively quiet office environments, speech is degraded by additive noise from fans, slamming doors, and other conversations, as well as by the effects of unknown linear filtering arising reverberation from surface reflections in a room, or spectral shaping by microphones or the vocal tracts of individual speakers. Speech-recognition systems designed for long-distance telephone lines, or applications deployed in more adverse acoustical environments such as motor vehicles, factory floors, oroutdoors demand far greaterdegrees ofenvironmental robustness. There are several different ways of building acoustical robustness into speech recognition systems. Arrays of microphones can be used to develop a directionally-sensitive system that resists intelference from competing talkers and other noise sources that are spatially separated from the source of the desired speech signal."

This book of proceedings includes papers presenting the state of art in electrical engineering and control theory as well as their applications. The topics focus on classical as well as modern methods for modeling, control, identification and simulation of complex systems with applications in science and engineering. The papers were selected from the hottest topic areas, such as control and systems engineering, renewable energy, faults diagnosis-faults tolerant control, large-scale systems, fractional order systems, unconventional algorithms in control engineering, signals and communications. The control and design of complex systems dynamics, analysis and modeling of its behavior and structure is vitally important in engineering, economics and in science generally science today. Examples of such systems can be seen in the world around us and are a part of our everyday life. Application of modern methods for control, electronics, signal processing and more can be found in our mobile phones, car engines, home devices like washing machines is as well as in such advanced devices as space probes and systems for communicating with them. All these technologies are part of technological backbone of our civilization, making further research and hi-tech applications essential. The rich variety of contributions appeals to a wide audience, including researchers, students and academics.

This book provides an introduction to Swarm Robotics, which is the application of methods from swarm intelligence to robotics. It goes on to present methods that allow readers to understand how to design large-scale robot systems by going through many example scenarios on topics such as aggregation, coordinated motion (flocking), task allocation, self-assembly, collective construction, and environmental monitoring. The author explains the methodology behind building multiple, simple robots and how the complexity emerges from the multiple interactions between these robots such that they are able to solve difficult tasks. The book can be used as a short textbook for specialized courses or as an introduction to Swarm Robotics for graduate students, researchers, and professionals who want a concise introduction to the field.

One aspect of the new economy is a transition to a networked society, and the emergence of a highly interconnected, interdependent and complex system of networks to move people, goods and information. An example of this is the in creasing reliance of networked systems (e. g. , air transportation networks, electric power grid, maritime transport, etc. ) on telecommunications and information in frastructure. Many of the networks that evolved today have an added complexity in that they have both a spatial structure - i. e. , they are located in physical space but also an a spatial dimension brought on largely by their dependence on infor mation technology. They are also often just one component of a larger system of geographically integrated and overlapping networks operating at different spatial levels. An understanding of these complexities is imperative for the design of plans and policies that can be used to optimize the efficiency, performance and safety of transportation, telecommunications and other networked systems. In one sense, technological advances along with economic forces that encourage the clustering of activities in space to reduce transaction costs have led to more efficient network structures. At the same time the very properties that make these networks more ef ficient have also put them at a greater risk for becoming disconnected or signifi cantly disruptedwh en super connected nodes are removed either intentionally or through a targeted attack.

Learn how and when to apply the latest phase and phase-difference modulation (PDM) techniques with this valuable guide for systems engineers and researchers. It helps you cut design time and fine-tune system performance.

This book presents the proceedings of the International Conference on Wireless Intelligent and Distributed Environment for Communication (WIDECOM 2018), organized by SRM University, NCR Campus, New Delhi, India, February 16-18, 2018. The conference focuses on challenges with respect to the dependability of integrated applications and intelligence-driven security threats against the platforms supporting these applications. The WIDECOM 2018 proceedings features papers addressing issues related to the new dependability paradigms, design, control, and management of next generation networks, performance of dependable network computing and mobile systems, protocols that deal with network computing, mobile/ubiquitous systems, cloud systems, and Internet of Things (IoT) systems. The proceeding is a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners, in industry, in the aforementioned areas. The book's structure and content is organized in such a manner that makes it useful at a variety of learning levels. Presents the proceedings of the International Conference on Wireless Intelligent and Distributed Environment for Communication (WIDECOM 2018), organized by SRM University, NCR Campus, New Delhi, India, February 16-18, 2018; Includes an array of topics related to new dependability paradigms, design, control, and management of next generation networks, performance of dependable network computing and mobile systems, protocols that deal with network computing, mobile/ubiquitous systems, cloud systems, and Internet of Things (IoT) systems; Addresses issues related to the design and performance of dependable network computing and systems and to the security of these systems.

An all-encompassing guide to the business, engineering, and regulatory factors shaping the growth of the distance learning industry. This book examines potential providers, users, applications, and problem solutions, and includes actual case studies. An outstanding reference for educators, network service providers, public policy makers, and graduate level engineering students specializing in telecommunications.

Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.

This book demonstrates how to model the entire target acquisition process using either visible or infrared imaging systems. Beginning with an overview on electro-optical system design, the text introduces the complexity of various design considerations. A discussion of the differing types of visible and infrared sensors outlines basic wavelength issues and provides definitions of baseline hardware solutions.

Delivers a conceptual overview of call centres - the products that support them, the designs that make them work and the ongoing management that is required for their successful operation.

Like the 120 volt standard for electricity, the appearance of standards in network management heralds new opportunities for creativity and achievement. As one example, within the framework of these evolving standards, consider a system of local area networks connecting computing equipment from different vendors. A bridge 1qc. k:8 up because of a transient caused by a repeater failure. The result is a massive disconnecHon of virtual circuits. What is the role of the manager and the network management system in solving the problem? How does the vendor implement the solution? How does the user use it? What measurements should be made? How should they be displayed? How much of the diagnosis and correction should be automated? How does the solution change with different hardware and software? In the IEEE Communications Magazine, I recently reported a timely illustration in the area of problems in fault management. At the workshop hotel, "I was waiting for a room assignment at the reception desk, when my attendant left the counter for a moment. Upon returning, he took one look at his screen and whined an accusatory question at everyone in sight, 'Who logged out my terminal?' Who indeed! It wasn't any of us. It was the system.

It gives me immense pleasure to introduce this timely handbook to the research/- velopment communities in the ?eld of signal processing systems (SPS). This is the ?rst of its kind and represents state-of-the-arts coverage of research in this ?eld. The driving force behind information technologies (IT) hinges critically upon the major advances in both component integration and system integration. The major breakthrough for the former is undoubtedly the invention of IC in the 50's by Jack S. Kilby, the Nobel Prize Laureate in Physics 2000. In an integrated circuit, all components were made of the same semiconductor material. Beginning with the pocket calculator in 1964, there have been many increasingly complex applications followed. In fact, processing gates and memory storage on a chip have since then grown at an exponential rate, following Moore's Law. (Moore himself admitted that Moore's Law had turned out to be more accurate, longer lasting and deeper in impact than he ever imagined. ) With greater device integration, various signal processing systems have been realized for many killer IT applications. Further breakthroughs in computer sciences and Internet technologies have also catalyzed large-scale system integration. All these have led to today's IT revolution which has profound impacts on our lifestyle and overall prospect of humanity. (It is hard to imagine life today without mobiles or Internets ) The success of SPS requires a well-concerted integrated approach from mul- ple disciplines, such as device, design, and application.

Since the first edition of this book was published seven years ago, the field of modeling and simulation of communication systems has grown and matured in many ways, and the use of simulation as a day-to-day tool is now even more common practice. With the current interest in digital mobile communications, a primary area of application of modeling and simulation is now in wireless systems of a different flavor from the traditional' ones. This second edition represents a substantial revision of the first, partly to accommodate the new applications that have arisen. New chapters include material on modeling and simulation of nonlinear systems, with a complementary section on related measurement techniques, channel modeling and three new case studies; a consolidated set of problems is provided at the end of the book.

In a single volume, The Mobile Communications Handbook covers the entire field, from principles of analog and digital communications to cordless telephones, wireless local area networks (LANs), and international technology standards. The tremendous scope of this second edition ensures that it will be the primary reference for every aspect of mobile communications. Details and references follow preliminary discussions, ensuring that the reader obtains the most accurate information available on the particular topic.

Neurofuzzy and fuzzyneural techniques as tools of studying and analyzing complex problems are relatively new even though neural networks and fuzzy logic systems have been applied as computational intelligence structural e- ments for the last 40 years. Computational intelligence as an independent sci- tific field has grown over the years because of the development of these str- tural elements. Neural networks have been revived since 1982 after the seminal work of J. J. Hopfield and fuzzy sets have found a variety of applications since the pub- cation of the work of Lotfi Zadeh back in 1965. Artificial neural networks (ANN) have a large number of highly interconnected processing elements that usually operate in parallel and are configured in regular architectures. The c- lective behavior of an ANN, like a human brain, demonstrates the ability to learn, recall, and generalize from training patterns or data. The performance of neural networks depends on the computational function of the neurons in the network, the structure and topology of the network, and the learning rule or the update rule of the connecting weights. This concept of trainable neural n- works further strengthens the idea of utilizing the learning ability of neural networks to learn the fuzzy control rules, the membership functions and other parameters of a fuzzy logic control or decision systems, as we will explain later on, and this becomes the advantage of using a neural based fuzzy logic system in our analysis. On the other hand, fuzzy systems are structured numerical est

Following an exchange of correspondence, I met Ross in Adelaide in June 1988. I was approached by the University of Adelaide about being an external examiner for this dissertation and willingly agreed. Upon receiving a copy of this work, what struck me most was the scholarship with which Ross approaches and advances this relatively new field of adaptive data compression. This scholarship, coupled with the ability to express himself clearly using figures, tables, and incisive prose, demanded that Ross's dissertation be given a wider audience. And so this thesis was brought to the attention of Kluwer. The modern data compression paradigm furthered by this work is based upon the separation of adaptive context modelling, adaptive statistics, and arithmetic coding. This work offers the most complete bibliography on this subject I am aware of. It provides an excellent and lucid review of the field, and should be equally as beneficial to newcomers as to those of us already in the field.

The process control industry has seen generations of technology advancement, from pneumatic communication to electrical communication to electronic c- munication, from centralized control to distributed control. At the center of today's distributed control systems are operator workstations. These operator wo- stations provide the connection between those overseeing and running plant operations to the process itself. With each new generation of products the operator workstation has become increasingly more intelligent. Newer applications provide advanced alarming, control, and diagnostics. Behind all of these applications are smarter devices. These smart devices provide greater process insight, reduce en- neering costs, and contribute to improving the overall operational performance of the plant. Smart devices include advanced diagnostics that can report the health of the device and in many cases, the health of the process that the device is connected to. It is not uncommon for smart devices to include diagnostics that can detect plugged lines, burner flame instability, agitator loss, wet gas, orifice wear, leaks, and cavitations. These devices tell the user how well they are operating and when they need maintenance. Improvements in sensor technology and diagnostics have lead to a large variety of smart devices. So how do users connect the capabilities of these smart devices to their existing control system infrastructures? The answer is wireless. Wireless technology has matured to the point that it now can be safely applied in industrial control, monitor, and asset management applications.

Digital Baseband Transmission and Recording provides an integral, in-depth and up-to-date overview of the signal processing techniques that are at the heart of digital baseband transmission and recording systems. The coverage ranges from fundamentals to applications in such areas as digital subscriber loops and magnetic and optical storage. Much of the material presented here has never before appeared in book form. The main features of Digital Baseband Transmission and Recording include: a survey of digital subscriber lines and digital magnetic and optical storage; a review of fundamental transmission and reception limits; an encyclopedic introduction to baseband modulation codes; development of a rich palette of equalization techniques; a coherent treatment of Viterbi detection and many near-optimum detection schemes; an overview of adaptive reception techniques that encompasses adaptive gain and slope control, adaptive detection, and novel forms of zero-forcing adaptation; an in-depth review of timing recovery and PLLs, with an extensive catalog of timing-recovery schemes. . Featuring around 450 figures, 200 examples, 350 problems and exercises, and 750 references, Digital Baseband Transmission and Recording is an essential reference source to engineers and researchers active in telecommunications and digital recording. It will also be useful for advanced courses in digital communications.

The book describes a method for modeling systems architecture, particularly of telecom networks and systems, although a large part can be used in a wider context. The method is called Sysnet Modeling and is based on a new modeling language, AML (Abstract systems Modeling Language), which is also described in the book. By applying Sysnet Modeling and AML, a formal model of the system is created. That model can be used for systems analysis as well as for communicating system knowledge to a broader audience of engineers in development projects. Inherent in sysnet modeling is the potential for considerable reduction in time spent on system implementation through the possibilities for code- and test-case generation.

Faithful communication is a necessary precondition for large-scale quantum information processing and networking, irrespective of the physical platform. Thus, the problems of quantum-state transfer and quantum-network engineering have attracted enormous interest over the last years, and constitute one of the most active areas of research in quantum information processing. The present volume introduces the reader to fundamental concepts and various aspects of this exciting research area, including links to other related areas and problems. The implementation of state-transfer schemes and the engineering of quantum networks are discussed in the framework of various quantum optical and condensed matter systems, emphasizing the interdisciplinary character of the research area. Each chapter is a review of theoretical or experimental achievements on a particular topic, written by leading scientists in the field. The volume aims at both newcomers as well as experienced researchers.

In 1997, the two hottest topics in information technology are the Internet and mobile communications. Each one has the enthusiastic attention of the consuming public, investors. and the technical community. In a time of rapid expansion, they both face technical obstacles to meeting the public's high expectations. This situation stimulates a high volume of research in both areas. To bring the Internet into the twenty-first century. the research community focuses on multimedia communications in which integrated systems store, transport. and process many types of information simultaneously. A major challenge is to meet the of each information service. This problem is separate performance requirements especially challenging when a system has to deliver broadband, real-time services such as full-motion video. Meanwhile. the mobile communications research community continues its long term struggle against the triple challenge of mobility. ether. and energy. "Mobility" refers to the changing locations of terminals. When terminals are mobile. networks have to determine their locations and dynamically establish routes for information. The networks also have to rearrange themselves in order to maintain links to terminals with active communications sessions. "Ether" refers to the problems of wireless communications including limited bandwidth. rapidly changing radio propagation conditions. mutual interference of radio signals. and vulnerability of systems to eavesdropping and unauthorized access. "Energy" refers to the fact that portable information devices carry their own power sources. The rate at which the batteries of cellular telephones and portable computers drain their energy has a strong effect on their utility."

This book provides an overview of positioning technologies, applications and services in a format accessible to a wide variety of readers. Readers who have always wanted to understand how satellite-based positioning, wireless network positioning, inertial navigation, and their combinations work will find great value in this book. Readers will also learn about the advantages and disadvantages of different positioning methods, their limitations and challenges. Cognitive positioning, adding the brain to determine which technologies to use at device runtime, is introduced as well. Coverage also includes the use of position information for Location Based Services (LBS), as well as context-aware positioning services, designed for better user experience.

The Integrated Services Digital Network (ISDN) represents the current position in about a hundred years of evolutionary growth of the worldwide telecommunications infrastructure. This evolution is by no means complete and the next few years will see the emergence of a "Broad-band" ISDN as the next stage of evolutionary development. It is important to appreciate the evolutionary nature of the telecommunications infrastructure if one is to properly understand much of the thinking that lies behind the current ISDN proposals. This book therefore begins with a number of chapters devoted to a study of the various developments which have eventually led to the concept of an integrated digital network. These include the development of digital transmission of speech using PCM and the development of digital switching techniques based on stored program control. The book then turns to a consideration of those features of the existing telecommunications network which need to be modified in order to make ISDN a realizable practicality. Of particular importance is the digitization of transmission over the links between the user and the local exchange. Next we look at the current practice and proposals for ISDN based on the technology presently in use in the telephone network. Finally, we look at the proposals for a broadband ISDN likely to become widely available by the turn of the century.