Information Ist Energie
Dynamischer Informationsbegriff, der zu einem Informationserhaltungssatz f羹hrtTieferes Verst瓣ndnis der Information durch den InformationserhaltungssatzInformation im gesellschaftlichen Kontext
Turbo Message Passing Algorithms for Structured Signal Recovery
This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered structured signals include 1) a sparse vector/matrix (which corresponds to the compressed sensing (CS) problem), 2) a low-rank matrix (which corresponds to the affine rank minimization (ARM) problem), 3) a mixture of a sparse matrix and a low-rank matrix (which corresponds to the robust principal component analysis (RPCA) problem). The book is divided into three parts. First, the authors introduce a turbo message passing algorithm termed denoising-based Turbo-CS (D-Turbo-CS). Second, the authors introduce a turbo message passing (TMP) algorithm for solving the ARM problem. Third, the authors introduce a TMP algorithm for solving the RPCA problem which aims to recover a low-rank matrix and a sparse matrix from their compressed mixture. With this book, we wish to spur new researches on applying message passing to various inference problems. Provides an in depth look into turbo message passing algorithms for structured signal recoveryIncludes efficient iterative algorithmic solutions for inference, optimization, and satisfaction problems through message passingShows applications in areas such as wireless communications and computer vision
ICT Policy, Research and Innovation
A comprehensive discussion of the findings of the PICASSO initiative on ICT policy ICT Policy, Research, and Innovation: Perspectives and Prospects for EU-US Collaboration provides a clearly readable overview of selected information and communication technology (ICT) and policy topics. Rather than deluge the reader with technical details, the distinguished authors provide just enough technical background to make sense of the underlying policy discussions. The book covers policy, research, and innovation topics on technologies as wide-ranging as: Internet of Things Cyber physical systems 5G Big data ICT Policy, Research, and Innovation compares and contrasts the policy approaches taken by the EU and the US in a variety of areas. The potential for future cooperation is outlined as well. Later chapters provide policy perspectives about some major issues affecting EU/US development cooperation, while the book closes with a discussion of how the development of these new technologies is changing our conceptions of fundamental aspects of society.
Pattern Recognition and Computational Intelligence Techniques Using MATLAB
This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques.Presents pattern recognition and the computational intelligence using Matlab;Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly;Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.
Fog-Enabled Intelligent Iot Systems
This book first provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public services. The authors give in-depth analyses of fog computing architecture and key technologies that fulfill the challenging requirements of enabling computing services anywhere along the cloud-to-thing continuum. Further, in order to make IoT systems more intelligent and more efficient, a fog-enabled service architecture is proposed to address the latency requirements, bandwidth limitations, and computing power issues in realistic cross-domain application scenarios with limited priori domain knowledge, i.e. physical laws, system statuses, operation principles and execution rules. Based on this fog-enabled architecture, a series of data-driven self-learning applications in different industrial sectors and public services are investigated and discussed, such as robot SLAM and formation control, wireless network self-optimization, intelligent transportation system, smart home and user behavior recognition. Finally, the advantages and future directions of fog-enabled intelligent IoT systems are summarized. Provides a comprehensive review of state-of-the-art IoT technologies and applications in different industrial sectors and public servicesPresents a fog-enabled service architecture with detailed technical approaches for realistic cross-domain application scenarios with limited prior domain knowledgeOutlines a series of data-driven self-learning applications (with new algorithms) in different industrial sectors and public services
The Political Structure of UK Broadcasting 1949 - 1999
In 1999 David Elstein delivered a lecture series examining the evolvement of UK Broadcasting policy from 1949 to 1999. His sharp analysis is a valuable contribution to the post-war development of the British broadcasting system and unfolds many topical issues in current media policy debates. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
The Political Structure of UK Broadcasting 1949 - 1999
In 1999 David Elstein delivered a lecture series examining the evolvement of UK Broadcasting policy from 1949 to 1999. His sharp analysis is a valuable contribution to the post-war development of the British broadcasting system and unfolds many topical issues in current media policy debates. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Message Dissemination Techniques in Opportunistic Underwater Sensor Networks
Introduction.- Literature Review.- Message Dissemination in OUSNs with Mobility-irregular Node.- Message Dissemination in OUSNs with GPS-free Nodes.- Propagation Control of Data Messages in OUSNs.- Freshness-cost Ratio Optimization of Message Dissemination in OUSNs.- Message Dissemination in Hybrid OUSNs with Storage-limited Nodes.- Message Dissemination based on Spatial-temporal Common Neighbours in Hybrid OUSNs.- Summary and Future Work.
Managing the Complexity of Critical Infrastructures
This book summarizes work being pursued in the context of the CIPRNet (Critical Infrastructure Preparedness and Resilience Research Network) research project, co-funded by the European Union under the Seventh Framework Programme (FP7). The project is intended to provide concrete and on-going support to the Critical Infrastructure Protection (CIP) research communities, enhancing their preparedness for CI-related emergencies, while also providing expertise and technologies for other stakeholders to promote their understanding and mitigation of the consequences of CI disruptions, leading to enhanced resilience. The book collects the tutorial material developed by the authors for several courses on the modelling, simulation and analysis of CIs, representing extensive and integrated CIP expertise. It will help CI stakeholders, CI operators and civil protection authorities understand the complex system of CIs, and help them adapt to these changes and threats in order to be as prepared as possible for mitigating emergencies and crises affecting or arising from CIs. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Managing the Complexity of Critical Infrastructures
This book summarizes work being pursued in the context of the CIPRNet (Critical Infrastructure Preparedness and Resilience Research Network) research project, co-funded by the European Union under the Seventh Framework Programme (FP7). The project is intended to provide concrete and on-going support to the Critical Infrastructure Protection (CIP) research communities, enhancing their preparedness for CI-related emergencies, while also providing expertise and technologies for other stakeholders to promote their understanding and mitigation of the consequences of CI disruptions, leading to enhanced resilience. The book collects the tutorial material developed by the authors for several courses on the modelling, simulation and analysis of CIs, representing extensive and integrated CIP expertise. It will help CI stakeholders, CI operators and civil protection authorities understand the complex system of CIs, and help them adapt to these changes and threats in order to be as prepared as possible for mitigating emergencies and crises affecting or arising from CIs. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Error-Correction Coding and Decoding
This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions. Written in a readily understandable style, the book presents the authors' twenty-five years of research organized into five parts: Part I is concerned with the theoretical performance attainable by using error correcting codes to achieve communications efficiency in digital communications systems.Part II explores the construction of error-correcting codes and explains the different families of codes and how they are designed. Techniques are described for producing the very best codes.Part III addresses the analysis of low-density parity-check (LDPC) codes, primarily to calculate their stopping sets and low-weight codeword spectrum which determines the performance of these codes.Part IV deals with decoders designed to realize optimum performance.Part V describes applications which include combined error correction and detection, public key cryptography using Goppa codes, correcting errors in passwords and watermarking.This book is a valuable resource for anyone interested in error-correcting codes and their applications, ranging from non-experts to professionals at the forefront of research in their field. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Dynamic Spectrum Management
This open access book, authored by a world-leading researcher in this field, describes fundamentals of dynamic spectrum management, provides a systematic overview on the enabling technologies covering cognitive radio, blockchain, and artificial intelligence, and offers valuable guidance for designing advanced wireless communications systems. This book is intended for a broad range of readers, including students and professionals in this field, as well as radio spectrum policy makers. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Error-Correction Coding and Decoding
This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions. Written in a readily understandable style, the book presents the authors' twenty-five years of research organized into five parts: Part I is concerned with the theoretical performance attainable by using error correcting codes to achieve communications efficiency in digital communications systems.Part II explores the construction of error-correcting codes and explains the different families of codes and how they are designed. Techniques are described for producing the very best codes.Part III addresses the analysis of low-density parity-check (LDPC) codes, primarily to calculate their stopping sets and low-weight codeword spectrum which determines the performance of these codes.Part IV deals with decoders designed to realize optimum performance.Part V describes applications which include combined error correction and detection, public key cryptography using Goppa codes, correcting errors in passwords and watermarking.This book is a valuable resource for anyone interested in error-correcting codes and their applications, ranging from non-experts to professionals at the forefront of research in their field. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Dynamic Spectrum Management
This open access book, authored by a world-leading researcher in this field, describes fundamentals of dynamic spectrum management, provides a systematic overview on the enabling technologies covering cognitive radio, blockchain, and artificial intelligence, and offers valuable guidance for designing advanced wireless communications systems. This book is intended for a broad range of readers, including students and professionals in this field, as well as radio spectrum policy makers. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Understanding 5g Mobile Networks
Understanding 5G Mobile Networks: A Multidisciplinary Primer offers the first manageable overview of 5G for a non-technical audience, and specifically a broad, multidisciplinary survey of the spectrum and the licensing and launch of 5G networks throughout the world, distinguishing standalone 5G from non-standalone 5G.
Machine Learning and Artificial Intelligence
Introduction.- Part I Introduction to AI and ML.- Essential concepts in AL and ML.- Part II Techniques for Static Machine Learning Models.- Perceptron and Neural Networks.- Decision Trees.- Advanced Decision Trees.- Support Vector Machines.- Probabilistic Models.- Deep Learning.- Part III Techniques for Dynamic Machine Learning Models.- Autoregressive and Moving Average Models.- Hidden Markov Models and Conditional Random Fields.- Recurrent Neural Networks.- Part IV Applications.- Classification Regression.- Ranking.- Clustering.- Recommendations.- Next Best Actions.- Designing ML Pipelines.- Using ML Libraries.- Azure Machine Learning Studio.- Conclusions.
Text Segmentation and Recognition for Enhanced Image Spam DetectionAn Integrated Approach
This book discusses email spam detection and its challenges such as text classification and categorization. The book proposes an efficient spam detection technique that is a combination of Character Segmentation and Recognition and Classification (CSRC). The author describes how this can detect whether an email (text and image based) is a spam mail or not. The book presents four solutions: first, to extract the text character from the image by segmentation process which includes a combination of Discrete Wavelet Transform (DWT) and skew detection. Second, text characters are via text recognition and visual feature extraction approach which relies on contour analysis with improved Local Binary Pattern (LBP). Third, extracted text features are classified using improvised K-Nearest Neighbor search (KNN) and Support Vector Machine (SVM). Fourth, the performance of the proposed method is validated by the measure of metric named as sensitivity, specificity, precision, recall, F-measure, accuracy, error rate and correct rate. Presents solutions to email spam detection and discusses its challenges such as text classification and categorization;Analyzes the proposed techniques' performance using precision, F-measure, recall and accuracy;Evaluates the limitations of the proposed research thereby recommending future research.
Communication Systems
This revised textbook fully updates its comprehensive coverage of Fourier transform, convolution, and definitions of autocorrelation and power spectral density. The new edition reflects the emergence of a variety of new services and systems. It continues to cover the concepts of probability, random variables, and stochastic processes in full, but brings them up to speed for the modern context. The book now features a new appendix on LTE, fully revamped of figures and tables, new information on AM-VSB Modulation, new examples related to new digital television standards, and a thoroughly revamped chapter on Mobile Cellular Telephony. All major topics including channel modeling, channel characteristics, and propagation are still covered, with an emphasis on simple models. Many updated examples are provided as well as problems at the end of each chapter to allow the reader to practice the acquired knowledge.
Intelligent Mobile Service Computing
This book discusses recent research and applications in intelligent service computing in mobile environments. The authors first explain how advances in artificial intelligence and big data have allowed for an array of intelligent services with complex and diverse applications. They then show how this brings new opportunities and challenges for service computing. The book, made up of contributions from academic and industry, aims to present advances in intelligent services, new algorithms and techniques in the field, foundational theory and systems, as well as practical real-life applications. Some of the topics discussed include cognition, modeling, description and verification for intelligent services; discovery, recommendation and selection for intelligent services; formal verification, testing and inspection for intelligent services; and composition and cooperation methods for intelligent services.
Supervised and Unsupervised Learning for Data Science
Includes new advances in clustering and classification using semi-supervised and unsupervised learning Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning Features applications from business, engineering, and social science that exploit techniques from semi-supervised and unsupervised learning
Special Topics in Information Technology
This open access book presents thirteen outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers. Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Control, and Telecommunications. Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the thirteen best theses defended in 2019-20 and selected for the IT PhD Award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.
5g System Design
This book presents a detailed pedagogical description of the 5G commercial wireless communication system design, from an end to end perspective. It compares and contrasts NR with LTE, and gives a concise and highly accessible description of the key technologies in the 5G physical layer, radio access network layer protocols and procedures. This book also illustrates how the 5G core and EPC is integrated into the radio access network, how virtualization and edge computer fundamentally change the way users interact with the network, as well as 5G spectrum issues.This book is structured into six chapters. The first chapter reviews the use cases, requirements, and standardization organization and activities for 5G. These are 5G requirements and not NR specifically, as technology that meets the requirements, may be submitted to the ITU as 5G technology. This includes a set of Radio Access Technologies (RATs), consisting of NR and LTE; with each RAT meeting different aspects of the requirements. The second chapter describes the air interface of NR and LTE side by side. The basic aspects of LTE that NR builds upon are first described, followed by sections on the NR specific technologies, such as carrier/channel, spectrum/duplexing (including SUL), LTE/NR co-existence and new physical layer technologies (including waveform, Polar/LDPC codes, MIMO, and URLLC/mMTC). In all cases the enhancements made relative to LTE are made apparent. The third chapter contains descriptions of NR procedures (IAM/Beam Management/Power control/HARQ), protocols (CP/UP/mobility, including grant-free), and RAN architecture. The fourth chapter includes a detailed discussion related to end-to-end system architecture, and the 5G Core (5GC), network slicing, service continuity, relation to EPC, network virtualization, and edge computing. The fifth and major chapter describes the ITU submission and how NR and LTE meet the 5G requirements in significant detail, from the rapporteur responsible for leading the preparation and evaluation, as well as some field trial results.Engineers, computer scientists and professionals with a passing knowledge of 4G LTE and a comprehensive understanding of the end to end 5G commercial wireless system will find this book to be a valuable asset. Advanced-level students and researchers studying and working in communication engineering, who want to gain an understanding of the 5G system (as well as methodologies to evaluate features and technologies intended to supplement 5G) will also find this book to be a valuable resource.
Internet of Things - The Call of the Edge
This book provides an overview of the Internet of Things (IoT) - covering new ideas, concepts, research and innovation to enable the development of IoT technologies in a global context. The work is intended as a standalone book in a series covering the activities of the Internet of Things European Research Cluster (IERC) - including research, technological innovation, validation, and deployment.The book chapters build on the developments and innovative ideas put forward by the IERC, the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects - presenting new concepts, ideas and future IoT trends and ways of integrating open data frameworks and IoT marketplaces into larger deployment ecosystems.The IoT and Industrial Internet of Things technologies are moving towards hyperautomated solutions - combining hyperconnectivity, artificial intelligence (AI), distributed ledger technologies and virtual/augmented extended reality, with edge computing and deep edge processing becoming an assertive factor across industries for implementing intelligent distributed computing resources and data to keep the efficient data exchange and processing local to reduce latency, exploit the sensing/actuating capabilities and enable greater autonomy.Expanding the adoption of consumer, business, industrial and tactile IoT requires further development of hyperautomated IoT concepts for collaborative solutions involving machines and humans to expand augmented creativity at the application level using AI to optimise the industrial processes and progress towards a symbiotic economy based on distributed federated cloud/edge infrastructure allowing resource-sharing in the form of computing, memory and analytics capabilities.The advances of autonomous IoT applications delivering services in real-time encompasses development in servitisation, robotisation, automation and hyperconnectivity, which are essential for the rapid evolution of industrial enterprises in the new digital era. The rise of digital twins integrated into IoT platforms as fully interactive elements embedded into the simulation and optimisation environment, as well as the embedment of AI techniques and methods, enhances the accuracy and performance of models in the various IoT and Industrial Internet of Things applications.The convergence of technologies to provide scalable, interoperable IoT-enabled applications pushed the requirements for high bandwidth, low latency and robust and dependable connectivity to support the industry's demand for deeper integration and improved analytics to deliver sustainable competitive advantage products and services, enabling digital transformation with a focus on new business models.Safety and security are interlinked for the next wave of IoT technologies and applications and combined, prove a greater value for rapid adoption. The new IoT technologies are essential for facilitating sustainable development, reducing energy consumption and, by supporting the optimisation of products and processes, mitigating unnecessary carbon emissions - thereby reducing the environmental impact through real-time data collection, analysis, exchange, and processing.
Dynamic Spectrum Management
This open access book, authored by a world-leading researcher in this field, describes fundamentals of dynamic spectrum management, provides a systematic overview on the enabling technologies covering cognitive radio, blockchain, and artificial intelligence, and offers valuable guidance for designing advanced wireless communications systems. This book is intended for a broad range of readers, including students and professionals in this field, as well as radio spectrum policy makers.
Energy-Efficient Algorithms and Protocols for Wireless Body Sensor Networks
This book provides a systematic treatment of the theoretical foundation and algorithmic tools necessary in the design of energy-efficient algorithms and protocols in wireless body sensor networks (WBSNs). These problems addressed in the book are of both fundamental and practical importance. Specifically, the book delivers a comprehensive treatment on the following problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization: energy-efficient clustering-based leader election algorithms in WBSNs; MAC protocol for duty-cycling WBSNs with concurrent traffic; multi-channel broadcast algorithms in duty-cycling WBSNs; and energy-efficient sleep scheduling algorithms in WBSNs. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on WBSNs and their applications, both from theoretical and engineering perspective.
Smart Governance for Cities: Perspectives and Experiences
This book provides theoretical perspectives and practical experiences on smart governance for smart cities. It presents a balanced linkage between research, policies and practices on this area. The authors discuss the sustainability challenges raised by rapid urbanization, challenges with smart governance models in various countries, and a new governance paradigm seen as a capable approach able to overcome social, economic and environmental sustainability problems. The authors include case studies on transformation, adaption and transfers; and country, regional, municipal contextualization. Also included are best practices on monitoring and evaluating smart governance and impact assessment. The book features contributions from researchers, academics, and practitioners in the field. Analyzes smart governance for cities from a variety of perspectives and a variety of sectors - both in theory and in practiceFeatures information on the linkage between United Nations Sustainable Development Goals and smart governanceCovers the connection between research, policies and practice in smart governance for smart cities
Introduction to the Theory of Radiopolarimetric Navigation Systems
SECTION 1. POLARIZATION STRUCTURE OF THE AUTONOMOUS RADIONAVIGATION SYSTEMS SIGNALS 1. Radiophysical provision of radiopolarimetric navigation systems. 1.1. Basic concepts and definitions of radiopolarimetry. 1.2. Interconnection and comparison of different forms of signals polarization state in radiopolarimetric navigation systems. 1.3. Polarization bases used to analyze the signals. 1.3.1. Expansion of polarized radionavigation systems signals in orthogonal polarization bases. 1.3.2. Expansion of polarized radionavigation systems signals in affine polarization bases. 1.4. Basic characteristics of probability representations of the signals polarization structure. 1.5. Quaternion representation of the signals polarization state in navigation systems. 2. Analysis of the signals polarization of radiopolarimetric navigation systems using coordinate components 2.1. Quadrature components 2.1.1. Basic properties and transformations 2.1.2. Probabilistic descriptions 2.2. Complex components 2.2.1. Basic properties and transformations 2.2.2. Probabilistic description The Gaussian case. 2.2.3. Approximation of probabilistic models. 2.2.4. Probabilistic description. The Non-Gaussian case. 2.3. Coordinate components with broadband signals. 2.4. The representation of the ultra-broadband signals polarization state of navigation systems. 3. Analysis of the signal polarization state of navigation systems based on energy characteristics. 3.1. The Coherence matrix 3.1.1. Basic properties and transformations 3.1.2. Probabilistic description 3.2. The Stokes parameters 3.2.1. Basic properties and transformations 2.2.3. Probabilistic d
The ”essence” of Network Security: An End-To-End Panorama
Introduction to Network Security Technologies.- A Systematic Review of Digital, Cloud and IoT Forensics.- Blockchain Based Framework for Managing Customer Consent in Open Banking.- A Comprehensive Study of Pros and Cons on Implementation of Block-chain for IoT device Security.- Role of Cryptography in Network Security.- Detection of Malicious URLs using Deep Learning Approach.- Software Defined Network Vulnerabilities.- Demystifying Security on NDN: A survey of Existing Attacks and Open Research Challenges.- Anonymous Traffic Network.
Intelligent Iot for the Digital World
INTELLIGENT IOT FOR THE DIGITAL WORLD DISCOVER HOW THE INTELLIGENT INTERNET OF THINGS WILL CHANGE THE INFORMATION AND COMMUNICATION TECHNOLOGY INDUSTRY IN THE NEXT DECADE In the digital world, most data and Internet of Things (IoT) services need to be efficiently processed and executed by intelligent algorithms using local or regional computing resources, thus greatly saving and reducing communication bandwidth, end-to-end service delay, long-distance data transmissions, and potential privacy breaches. This book proposes a pyramid model, where data, computing and algorithm jointly constitute the triangular base to support a variety of user-centric intelligent IoT services at the spire by using different kinds of smart terminals or devices.This book provides a state-of-the-art review of intelligent IoT technologies and applications, discusses the key challenges and opportunities facing the digital world, and answers the following five critical questions: What is the most feasible network architecture to effectively provide sufficient resources anywhere anytime for intelligent IoT application scenarios?How do we efficiently discover, allocate and manage computing, communication and caching resources in heterogeneous networks across multiple domains and operators?How do we agilely achieve adaptive service orchestration and reliable service provisioning to meet dynamic user requirements in real time?How do we effectively protect data privacy in IoT applications, where IoT devices and edge/fog computing nodes only have limited resources and capabilities?How do we continuously guarantee and maintain the synchronization and reliability of wide-area IoT systems and applications?Written for professionals working in 5G/IoT technology development, service management and big data analytics, this book offers an overview of intelligent IoT service architecture, key technologies, important applications and future technological trends.
Wireless Communications: Networks and Systems
A transfer of power or information can occur between two or more points without wires, cables or fiber optics facilitating the transmission. This is possible through wireless technology using infrared, radio-frequency, microwave or acoustic wave communication. Cell phones, remote garage-door openers, two-way radios, GPS receivers, television remote controls, etc. use wireless technology. Wireless telecommunication networks are implemented using radio communication. Wireless sensor networks, cell phone networks, wireless local area networks, etc. are examples of wireless networks. The use of wireless modems, satellites and microwave transmitters has facilitated the access to Internet. This book unfolds the innovative aspects of wireless communication. It is a valuable compilation of topics, ranging from the basic to the most complex advancements in this area of study. The coherent flow of topics, student-friendly language and extensive use of examples make it an invaluable source of knowledge.
Advanced Principles of Wireless Sensor Networks
Wireless sensor network is a group of dedicated and spatially distributed sensors used to monitor and record the physical conditions of the environment. It also organizes the collected data at a central location. It helps in measuring the environmental conditions such as temperature, pollution levels, sound, humidity, and wind. They rely on wireless connectivity and spontaneously form a network to ensure the wireless transportation of sensor data. Modern wireless sensor networks are bi-directional that enable the control of sensor activity. It plays an important role in military applications such as battlefield surveillance. Such networks are also used in many industrial and consumer applications such as industrial process monitoring and control and machine health monitoring. This book elucidates the concepts and innovative models around prospective developments with respect to wireless sensors network. Some of the diverse topics covered herein book address the varied branches that fall under this category. The book is appropriate for those seeking detailed information in this area.
Electronic Communication Systems
An electronic communication system is a collection of communication networks, tributary stations, relay stations, transmission systems and data terminal equipment. These components are technologically compatible, respond to controls, use common procedures and operate in union. Electric communication systems are of different types, depending on the transmission media, such as optical communication system, power line communication system and radio communication system. Other classifications of communication systems, such as duplex communication system, tactical communications system, emergency communication system, etc. may be based on the technology used or the area of application. This book includes some of the vital pieces of work being conducted across the world, on various topics related to electronic communication systems. It attempts to understand the diverse aspects of electronic communication systems and how these have practical applications. This book is a complete source of knowledge on the present status of this important field.
Mobile Information Systems: Concepts and Applications
The immense popularity of mobile infrastructures and higher bandwidths of network has radically transformed the way people use information resources. In this context, mobile information systems (MIS) are a pertinent area of study. MIS are information systems that allow the access to information resources and services with the aid of end-user terminals. These terminals are movable in space and are provided with wireless communication. The advantage of MIS is that they provide new value-added services due to their mobility and flexibility. They also render other services such as user access across multiple devices and channels, and the ability to perform collaborative work either in synchrony or otherwise. The book presents researches and studies performed by experts across the globe. Also included in this book is a detailed explanation of the various concepts and applications of mobile information systems. The readers would gain knowledge that would broaden their perspective about this field.
Wireless Communication Systems: Design and Implementation
Wireless communication refers to the transfer of information or power between two or more points that are not directly connected by an electrical conductor. Such communication is achieved with the help of radio waves. These waves cover a wide range of distance, from a few meters in the case of Bluetooth to as far as millions of kilometers in the case of deep-space radio communications. Wireless communication can also be achieved via free-space optical communication, sonic waves and electromagnetic induction. Various portable, fixed and mobile applications allow such communication to be established. GPS units, satellite television, radio receivers, cordless telephones and broadcast television are examples of systems that operate on wireless technology. This book outlines the process and applications of wireless communications in detail. It is a valuable compilation of topics, ranging from the basic to the most complex advancements in this field. For someone with an interest and eye for detail, this book covers the most significant topics in the field of wireless communication.
Analog Communications
Signals and Systems.- Random Variables & Random Processes.- Amplitude Modulation.- Frequency Modulation.- Noise in Analog Modulation.- Pulse Code Modulation.- Signaling Through AWGN Channel.- Bibliography.- Index.
Secure Image Transmission in Wireless Sensor Network (Wsn) Applications
Introduction.- An Optimal Light Weight Cryptography - SIMON Block Cipher for Secure Image Transmission in Wireless Sensor Networks.- An Optimal Lightweight RECTANGLE Block Cipher for Secure Image Transmission in Wireless Sensor Networks.- An Optimal Lightweight Cryptographic Hash Function for Secure Image Transmission in Wireless Sensor Networks.- An Optimal Haar Wavelet with Light Weight Cryptography based Secret Data Hiding on Digital Images in Wireless Sensor Networks.
Game Theory, the Internet of Things and 5g NetworksUtilizing Game Theoretic Models to Characterize Challenging Scenarios
This book shows how to model selected communication scenarios using game theory. The book helps researchers specifically dealing with scenarios motivated by the increasing use of the Internet of Things (IoT) and 5G Communications by using game theory to approach the study of such challenging scenarios. The author explains how game theory acts as a mathematical tool that models decision making in terms of strategies and mechanisms that can result in optimal payoffs for a number of interacting entities, offering often antagonistic behaviors. The book explores new technologies in terms of design, development and management from a theoretical perspective, using game theory to analyze strategic situations and demonstrate profitable behaviors of the cooperative entities. The book identifies and explores several significant applications/uses/situations that arise from the vast deployment of the IoT. The presentation of the technological scenarios is followed in each of the first four chaptersby a step-by-step theoretical model often followed by equilibrium proof, and numerical simulation results, that are explained in a tutorial-like manner. The four chapters tackle challenging IoT and 5G related issues, including: new security threats that IoT brings, e.g. botnets, ad hoc vehicular networks and the need for trust in vehicular communications, content repetition by offloading traffic onto mobile users, as well as issues due to new wearable devices that enable data collection to become more intrusive.
Smart Cities in ApplicationHealthcare, Policy, and Innovation
Introduction.- Smart Healthcare.- Requirements for Mobile & Remote Healthcare.- Mobile Healthcare for Disaster Scenarios.- Remote Healthcare via "Fifth Generation".- Wireless.- Public Safety & Policy Issues.- First Responders: Training via Technology.- Information Security: Warehousing, Distribution, & Privacy.- Public Policy, Neutrality, & Network Evolution at Light Speed.- Science, Technology, & Innovation.- 5G: The Glue that Holds the Smart City Together.- Material Science: Key to Smart City.- Development.- Augmented Reality for Training & Education.- Mobile "Green Spaces" for Remote, Containerized Agriculture.- Conclusion.
Principles of Radio Navigation for Ground and Ship-Based Aircrafts
This book systematically presents the operating principles and technical characteristics of the main radio navigating systems (RNSs) that make it possible to adequately evaluate the corresponding scratch indexes and levels of air safety for air vehicles, the chief concern of the International Civil Aviation Organization (ICAO). The book discusses how RNS systems substantially determine navigation accuracy and reliability, and therefore air safety; in addition, it presents practical solutions to problems arising in the operation and development of RNS systems.
Mathematical Theories of Machine Learning - Theory and Applications
This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection.
Python for Probability, Statistics, and Machine Learning
This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures and numerical results are reproducible using the Python codes provided. The author develops key intuitions in machine learning by working meaningful examples using multiple analytical methods and Python codes, thereby connecting theoretical concepts to concrete implementations. Detailed proofs for certain important results are also provided. Modern Python modules like Pandas, Sympy, Scikit-learn, Tensorflow, and Keras are applied to simulate and visualize important machine learning concepts like the bias/variance trade-off, cross-validation, and regularization. Many abstract mathematical ideas, such as convergence in probability theory, are developed and illustrated with numerical examples. This updated edition now includes the Fisher Exact Test and the Mann-Whitney-Wilcoxon Test. A new section on survival analysis has been included as well as substantial development of Generalized Linear Models. The new deep learning section for image processing includes an in-depth discussion of gradient descent methods that underpin all deep learning algorithms. As with the prior edition, there are new and updated *Programming Tips* that the illustrate effective Python modules and methods for scientific programming and machine learning. There are 445 run-able code blocks with corresponding outputs that have been tested for accuracy. Over 158 graphical visualizations (almost all generated using Python) illustrate the concepts that are developed both in code and in mathematics. We also discuss and use key Python modules such as Numpy, Scikit-learn, Sympy, Scipy, Lifelines, CvxPy, Theano, Matplotlib, Pandas, Tensorflow, Statsmodels, and Keras.This book is suitable for anyone with an undergraduate-level exposure to probability, statistics, or machine learning and with rudimentary knowledge of Python programming.
Software Architecture for Business
This book illustrates the role of software architecture and its application in business. The author describes enterprise architecture along with business architecture to show the role of software architecture in both areas. The place of software architecture in business is outlined from many perspectives in this context. The book outlines quality attributes and how managers can use software architecture to build high quality products. Topics include business software architecture, dealing with qualities, achieving quality attributes, managing business qualities, software product line, Internet of Things (IOT), and Service Oriented Business Architecture. The book is intended to benefit students, researchers, software architects, and business architects. Provides quick and easy access to all the important aspects of software architecture in business;Highlights a wide variety of concepts of software architecture in a straightforwardmanner, for students, practitioners, or architects;Presents different applications of software architecture in business.
The Art and Science of Machine IntelligenceTheArt and Science of Machine IntelligenceWith an Innovative Application for Alzheimer's Detection from Speech
This volume presents several machine intelligence technologies, developed over recent decades, and illustrates how they can be combined in application. One application, the detection of dementia from patterns in speech, is used throughout to illustrate these combinations. This application is a classic stationary pattern detection task, so readers may easily see how these combinations can be applied to other similar tasks. The expositions of the methods are supported by the basic theory they rest upon, and their application is clearly illustrated. The book's goal is to allow readers to select one or more of these methods to quickly apply to their own tasks.Includes a variety of machine intelligent technologies and illustrates how they can work together Shows evolutionary feature subset selection combined with support vector machines and multiple classifiers combinedIncludes a running case study on intelligent processing relating to Alzheimer's / dementia detection, in addition to several applications of the machine hybrid algorithms
Towards the Internet of ThingsArchitectures, Security, and Applications
Chapter1: The IoT Landscape.- Chapter2: IoT Architecture.- Chapter3: IoT Security.- Chapter4: Some Cases of Smart Use of the IoT.
Women Securing the Future with Tippss for IotTrust, Identity, Privacy, Protection, Safety, Security for the Internet of Things
Provides insight into women's contributions to the field of Trust, Identity, Privacy, Protection, Safety and Security (TIPPSS) for IoT Presents information from academia, research, and industry into advances, applications, and threats to the growing field of cybersecurity and IoT Includes topics such as identity theft, hacking of cars, hacking of insulin pumps, ransomware attacks, and more
Intelligent Spectrum Handovers in Cognitive Radio Networks
This book highlights the need for an efficient Handover Decision (HD) mechanism to perform switches from one network to another and to provide unified and continuous mobile services that include seamless connectivity and ubiquitous service access. The author shows how the HD involves efficiently combining handover initiation and network selection process. The author describes how the network selection decision is a challenging task that is a central component to making HD for any mobile user in a heterogeneous environment that involves a number of static and dynamic parameters. The author also discusses prevailing technical challenges like Dynamic Spectrum Allocation (DSA) methods, spectrum sensing, cooperative communications, cognitive network architecture protocol design, cognitive network security challenges and dynamic adaptation algorithms for cognitive system and the evolving behavior of systems in general. The book allows the reader to optimize the sensing time for maximizing the spectrum utilization, improve the lifetime of the cognitive radio network (CRN) using active scan spectrum sensing techniques, analyze energy efficiency of CRN, find a secondary user spectrum allocation, perform dynamic handovers, and use efficient data communication in the cognitive networks.Identifies energy efficient spectrum sensing techniques for Cooperative Cognitive Radio Networks (CRN);Shows how to maximize the energy capacity by minimizing the outage probability;Features end-of-chapter summaries, performance measures, and case studies.
Network Slicing for 5g and Beyond Networks
This book provides a comprehensive guide to the emerging field of network slicing and its importance to bringing novel 5G applications into fruition. The authors discuss the current trends, novel enabling technologies, and current challenges imposed on the cellular networks. Resource management aspects of network slicing are also discussed by summarizing and comparing traditional game theoretic and optimization based solutions. Finally, the book presents some use cases of network slicing and applications for vertical industries. Topics include 5G deliverables, Radio Access Network (RAN) resources, and Core Network (CN) resources. Discusses the 5G network requirements and the challenges therein and how network slicing offers a solutionFeatures the enabling technologies of future networks and how network slicing will play a rolePresents the role of machine learning and data analytics for future cellular networks along with summarizing the machine learning approaches for 5G and beyond networks
Resource Allocation for Ofdma Systems
This book introduces the sources and historic collection campaigns of resource allocation in wireless communication systems. The unique characteristics of MIMO-OFDMA systems are thoroughly studied and summarized. Remarks on resource allocation and spectrum sharing are also presented, which demonstrate the great value of resource allocation techniques, but also introduce distinct challenges of resource allocation in MIMO-OFDMA systems. Novel resource allocation techniques for OFDMA Systems are surveyed from various applications (e.g., for unicast, or multicast with Guaranteed BER and Rate, subcarrier and power allocation with various detectors, low-complexity energyefficient resource allocation, etc.) in this book.Due to the high mobility and low latency requirements of 5G wireless communications, this book discusses how to deal with the imperfect CSI. It also discusses how to deal with e.g., throughput maximization, outage probabilities maximization and guarantee, energy efficiency, physical-layer security issues with feedback channel capacity constraints, in order to characterize and understand the applications of practical scenes.This book will target professionals & researchers working in the fields of Wireless Communications and Networking, Resource Allocation and Transmissions. Advanced-level students in electrical engineering and computer science will also find this book useful as a secondary textbook.
