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Cognitive IoT: Emerging Technology towards Human Wellbeing (Intelligent Signal Processing and Data Analysis)
by J P Patra Gurudatta VermaThis book deals with a different research area of cognitive IoT and explains how machine learning algorithms can be applied for cognitive IoT. It deals with applications of cognitive IoT in this pandemic (COVID-19), applications for student performance evaluation, applications for human healthcare for chronic disease prediction, use of wearable sensors and review regarding their energy optimization and how cognitive IoT helps in farming through rainfall prediction and prediction of lake levels. Features: Describes how cognitive IoT is helpful for chronic disease prediction and processing of data gathered from healthcare devices. Explains different sensors available for health monitoring. Explores application of cognitive IoT in COVID-19 analysis. Discusses pertinent and efficient farming applications for sustaining agricultural growth. Reviews smart educational aspects such as student response, performance, and behavior and instructor response, performance, and behavior. This book aims at researchers, professionals and graduate students in Computer Science and Engineering, Computer Applications and Electronics Engineering, and Wireless Communications and Networking.
The Cognitive Life of Maps
by Roberto CasatiThe &“mapness of maps&”—how maps live in interaction with their users, and what this tells us about what they are and how they work.In a sense, maps are temporarily alive for those who design, draw, and use them. They have, for the moment, a cognitive life. To grapple with what this means—to ask how maps can be alive, and what kind of life they have—is to explore the core question of what maps are. And this is what Roberto Casati does in The Cognitive Life of Maps, in the process assembling the conceptual tools for understanding why maps have the power they have, why they are so widely used, and how we use (and misuse) them.Drawing on insights from cognitive science and philosophy of mind, Casati considers the main claims around what maps are and how they work—their specific syntax, peculiar semantics, and pragmatics. He proposes a series of steps that can lead to a precise theory of maps, one that reveals what maps have in common with diagrams, pictures, and texts, and what makes them different. This minimal theory of maps helps us to see maps nested in many cognitive artifacts—clock faces, musical notation, writing, calendars, and numerical series, for instance. It also allows us to tackle the issue of the territorialization of maps—to show how maps can be used to draw specific spatial inferences about territories. From the mechanics of maps used for navigation to the differences and similarities between maps and pictures and models, Casati's ambitious work is a cognitive map in its own right, charting the way to a new understanding of what maps mean.
Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies (Intelligent Data-Driven Systems and Artificial Intelligence)
by Mariya Ouaissa Inam Ullah Khan Salma El Hajjami Tarandeep Kaur Bhatia Salwa BelaqzizCognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores the essential role of machine learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of artificial intelligence and cognitive computing.This book: Covers a comprehensive exploration of cognitive machine intelligence and its intersection with emerging technologies such as federated learning, blockchain, and 6G and beyond. Discusses the integration of machine learning with various technologies such as wireless communication networks, ad-hoc networks, software-defined networks, quantum computing, and big data. Examines the impact of machine learning on various fields such as healthcare, unmanned aerial vehicles, cybersecurity, and neural networks. Provides a detailed discussion on the challenges and solutions to future computer networks like end-to-end delay issues, Quality of Service (QoS) metrics, and security. Emphasizes the need to ensure privacy and trust while implementing the novel techniques of machine intelligence. It is primarily written for senior undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Cognitive Mapping for Problem-based and Inquiry Learning: Theory, Research, and Assessment
by Juanjuan ChenThis book studies how to improve problem-based and inquiry-based learning by incorporating cognitive maps. Problem-based learning and cognitive mapping are reviewed from the perspective of both learning sciences and cognitive sciences, including the underpinning theories of experiential learning, situated learning, collaborative learning, meaningful learning, externalized representations and visual representations. The result is a comprehensive review and analysis of cognitive mapping-supported problem-based learning, with the topic discussed from cognitive, meta-cognitive, social, and motivational and emotional perspectives. Furthermore, the author presents a theory-driven design, implementation, and analysis of design-based research to improve problem-based learning using cognitive mapping. The book will provide implications for researchers and practitioners of learning sciences, psychology, instructional systems, and cognitive tools.
Cognitive Memory: Human Memory | Machine Memory (Springer Series on Bio- and Neurosystems #17)
by Bernard Widrow Edward P. KatzHow does human memory work? How does human pattern recognition work? The book’s motivation is twofold, to add to knowledge in the field of neuroscience, and to design a highly simplified cognitive memory constructed using software and existing electronic components. Readers are taken on an inspiring journey through the fundamentals of human memory, how it is constructed, and how it works in everyday life. The book goes more in-depth into the human side of cognitive memory — how seeing, hearing, walking and speaking works. Impairments in cognitive memory are also discussed. Lastly, the book sheds light on how meaning is extracted from sensory inputs and from stored data. This book is not without controversy. Neuroscientists accept the engrams (or memory traces) model that long-term memory is stored in the brain’s neural networks. The authors believe that long-term human memory is stored digitally, in the DNA of brain cells, and not in analog neural networks. Further, the authors believe that innate knowledge of humans and animals is inherited, transmitted from parents to offspring at the moment of conception. The single cell contains the innate knowledge in the DNA of its nucleus. Memory is stored in DNA. The brain’s neural networks are for access and retrieval of memory and not for actual storage. This book offers a unique, inspiring reading to researchers and other readers interested in the science of memory.
Cognitive Multi-agent Systems: Structures, Strategies and Applications to Mobile Robotics and Robosoccer (Studies in Systems, Decision and Control #138)
by Mikuláš Hajduk Marek Sukop Matthias HaunThe book describes an approach to the multi-agent systems (MAS) design for applications of robotic soccer in the MiroSot category. The described MAS is designed for dynamic, quickly changing environments, in which not only the actions of our MAS are observed, but also those of the opposing MAS. It actively tries to affect the environment to score goals faster than the opposing MAS. Multi-agent systems (MAS) are mostly applied in the environments in which they exist and act without an opposing system. The book also describes strategies based on a supervisor that makes decisions depending on behavior prediction of the opposing MAS and the ball movement in the working place. A sophisticated distribution of tasks was designed for each agent to cooperate in order score goals as fast as possible. Simultaneously, these agents try, by permitted means, to prevent the enemy agents from scoring goals. The approach described is an excellent guide to the constantly evolving abilities of mobile robotics, both for real-world applications, such as cooperation of multiple robots in life-saving activities, and for the steadily developing applications of mobile robots in various robotic competitions (e.g. Robocup, etc.). The book provides readers with high-level knowledge on how to design strategies and how to implement such systems, and the ideas presented enable them to further refine the approach utilizing the latest hardware and use it in new systems implementations of sophisticated intelligent engineering.
Cognitive Networked Sensing and Big Data
by Michael Wicks Robert QiuWireless Distributed Computing and Cognitive Sensing defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The author will discuss the integration of software defined radio implementation and testbed development. The book will also bridge new research results and contextual reviews. Also the author provides an examination of large cognitive radio network; hardware testbed; distributed sensing; and distributed computing.
Cognitive Networks: Applications and Deployments
by Jaime Lloret Mauri Kayhan Zrar Ghafoor Danda B. Rawat Javier Manuel Aguiar PerezA cognitive network makes use of the information gathered from the network in order to sense the environment, plan actions according to the input, and make appropriate decisions using a reasoning engine. The ability of cognitive networks to learn from the past and use that knowledge to improve future decisions makes them a key area of interest for
Cognitive Neuroscience of Human Systems: Work and Everyday Life (Human Factors and Ergonomics)
by Chris Forsythe Huafei Liao Michael Christopher Trumbo Rogelio E. Cardona-RiveraWhile there have been tremendous advances in our scientific understanding of the brain, this work has been largely academic, and often oriented toward clinical publication. Cognitive Neuroscience of Human Systems: Work and Everyday Life addresses the relationship between neurophysiological processes and the performance and experience of humans in e
Cognitive Neuroscience Robotics A: Synthetic Approaches to Human Understanding
by Masashi Kasaki Hiroshi Ishiguro Minoru Asada Mariko Osaka Takashi FujikadoCognitive Neuroscience Robotics is the first introductory book on this new interdisciplinary area. This book consists of two volumes, the first of which, Synthetic Approaches to Human Understanding, advances human understanding from a robotics or engineering point of view. The second, Analytic Approaches to Human Understanding, addresses related subjects in cognitive science and neuroscience. These two volumes are intended to complement each other in order to more comprehensively investigate human cognitive functions, to develop human-friendly information and robot technology (IRT) systems, and to understand what kind of beings we humans are. Volume A describes how human cognitive functions can be replicated in artificial systems such as robots, and investigates how artificial systems could acquire intelligent behaviors through interaction with others and their environment.
Cognitive Neuroscience Robotics A: Analytic Approaches to Human Understanding
by Masashi Kasaki Hiroshi Ishiguro Minoru Asada Mariko Osaka Takashi FujikadoCognitive Neuroscience Robotics is the first introductory book on this new interdisciplinary area. This book consists of two volumes, the first of which, Synthetic Approaches to Human Understanding, advances human understanding from a robotics or engineering point of view. The second, Analytic Approaches to Human Understanding, addresses related subjects in cognitive science and neuroscience. These two volumes are intended to complement each other in order to more comprehensively investigate human cognitive functions, to develop human-friendly information and robot technology (IRT) systems, and to understand what kind of beings we humans are. Volume A describes how human cognitive functions can be replicated in artificial systems such as robots, and investigates how artificial systems could acquire intelligent behaviors through interaction with others and their environment.
Cognitive Organisation: Prozessuale und funktionale Gestaltung von Unternehmen
by Matthias HaunDie in dem Buch beschriebenen Methoden und Techniken sichern Unternehmen den Entwicklungsvorsprung, der ben#65533;tigt wird, um mit hoher Innovations- und Zukunftssicherheit in organisatorischer und technologischer Hinsicht auf dynamischen M#65533;rkten zu bestehen. Der innovative Ansatz stellt die Begriffe Kognition, Organisation, Wissen und Technologie in den Mittelpunkt. Mit Hilfe der wissensbasierten, handlungsorientierten und simulationsvalidierten Methodik k#65533;nnen innovative Unternehmen als kognitive, wandelbare Organisationen entwickelt werden.
Cognitive Predictive Maintenance Tools for Brain Diseases: Design and Analysis (Chapman & Hall/CRC Internet of Things)
by Shweta GuptaThis book involves the design, analysis, and application of various cognitive predictive maintenance tests with the help of tools like vibration analysis, ultrasonic analysis, infrared analysis, oil analysis, laser-shaft alignment, and motor circuit analysis in the prediction of various cognitive diseases such as epilepsy, Parkinson’s disease, Alzheimer’s disease, and depression. These are needed since there are no proper medical tests available to predict these diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates innovative processes for treating cognitive diseases. Early and exact identification and treatment strategies are incorporated. Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions. Analysis with existing cognitive disease solutions is incorporated and simulations provided. The novelty of the book lies in the accurate prediction of cognitive diseases. Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.
Cognitive Radio: Computing Techniques, Network Security and Challenges
by Budati Anil KumarThe scarcity of radio spectrum is one of the most urgent issues at the forefront of future network research that is yet to be addressed. To address the problem of spectrum usage efficiency, the cognitive radio (CR) concept was proposed. The challenges of employing CRs include ensuring secure device operations and data transmission with advanced computing techniques. Successful development of CR systems will involve attainment of the following key objectives: Increasing the rate and capacity of CR-based networks How the power is utilized in CR hardware devices with CMOS circuits How the framework is needed in complex networks Vedic multipliers on CR networks Spatial analysis and clustering methods for traffic management To transmit a large volume of data like video compression Swarm optimization algorithms Resource sharing in peer-to-peer networking This book gathers the latest research works focusing on the issues, challenges, and solutions in the field of Cognitive Radio Networks, with various techniques. The chapters in this book will give solutions to the problems that Industry 4.0 faces, and will be an essential resource for scholars in all areas of the field.
Cognitive Radio: Basic Concepts, Mathematical Modeling and Applications
by Rajeshree Raut Ranjit Sawant Shriraghavan MadbushiGlobally considered as one of the key technologies in the field of wireless communications, cognitive radio has the capability to solve the issues related to radio spectrum scarcity with the help of dynamic spectrum allocation. It discusses topics including software defined radio architecture, linear predictive coding, variance fractal compression, optimal Codec design for mobile communication system, digital modulation techniques, spectrum sensing in cognitive radio networks and orthogonal frequency division multiplexing in depth. The text is primarily written for senior undergraduate and graduate students, in learning experimental techniques, designing and implementing models in the field wireless communication.
Cognitive Radio and its Application for Next Generation Cellular and Wireless Networks (Lecture Notes in Electrical Engineering #116)
by Gabriel-Miro Muntean Hrishikesh VenkataramanThis book provides a broad introduction to Cognitive Radio, which attempts to mimic human cognition and reasoning applied to Software Defined Radio and reconfigurable radio over wireless networks. It provides readers with significant technical and practical insights into different aspects of Cognitive Radio, starting from a basic background, the principle behind the technology, the inter-related technologies and application to cellular and vehicular networks, the technical challenges, implementation and future trends. The discussion balances theoretical concepts and practical implementation. Wherever feasible, the different concepts explained are linked to application of the corresponding scheme in a particular wireless standard. This book has two sections: the first section begins with an introduction to cognitive radio and discusses in detail various, inter-dependent technologies such as network coding, software-based radio, dirty RF, etc. and their relation to cognitive radio. The second section deals with two key applications of cognitive radio - next generation cellular networks and vehicular networks. The focus is on the impact and the benefit of having cognitive radio-based mechanisms for radio resource allocation, multihop data transmission, co-operative communication, cross-layer solutions and FPGA-level framework design, as well as the effect of relays as cognitive gateways and real-time, seamless multimedia transmission using cognitive radio.
Cognitive Radio and Networking for Heterogeneous Wireless Networks: Recent Advances and Visions for the Future (Signals and Communication Technology)
by Maria-Gabriella Di Benedetto Faouzi Bader Andrea F. Cattoni Jocelyn Fiorina Luca De NardisThis book, written by leading experts from academia and industry, offers a condensed overview on hot topics among the Cognitive Radios and Networks scientific and industrial communities (including those considered within the framework of the European COST Action IC0902) and presents exciting visions for the future. Examples of the subjects considered include the design of new filter bank-based air interfaces for spectrum sharing, medium access control design protocols, the design of cloud-based radio access networks, an evolutionary vision for the development and deployment of cognitive TCP/IP, and regulations relevant to the development of a spectrum sharing market. The concluding chapter comprises a practical, hands-on tutorial for those interested in developing their own research test beds. By focusing on the most recent advances and future avenues, this book will assist researchers in understanding the current issues and solutions in Cognitive Radios and Networks designs.
Cognitive Radio Communication and Networking
by Zhen Hu Husheng Li Michael C. Wicks Robert Caiming QiuThe author presents a unified treatment of this highly interdisciplinary topic to help define the notion of cognitive radio. The book begins with addressing issues such as the fundamental system concept and basic mathematical tools such as spectrum sensing and machine learning, before moving on to more advanced concepts and discussions about the future of cognitive radio. From the fundamentals in spectrum sensing to the applications of cognitive algorithms to radio communications, and discussion of radio platforms and testbeds to show the applicability of the theory to practice, the author aims to provide an introduction to a fast moving topic for students and researchers seeking to develop a thorough understanding of cognitive radio networks.Examines basic mathematical tools before moving on to more advanced concepts and discussions about the future of cognitive radioDescribe the fundamentals of cognitive radio, providing a step by step treatment of the topics to enable progressive learningIncludes questions, exercises and suggestions for extra reading at the end of each chapterCompanion website hosting MATLAB codes, and supplementary material including exercisesTopics covered in the book include: Spectrum Sensing: Basic Techniques; Cooperative Spectrum Sensing Wideband Spectrum Sensing; Agile Transmission Techniques: Orthogonal Frequency Division Multiplexing Multiple Input Multiple Output for Cognitive Radio; Convex Optimization for Cognitive Radio; Cognitive Core (I): Algorithms for Reasoning and Learning; Cognitive Core (II): Game Theory; Cognitive Radio Network IEEE 802.22: The First Cognitive Radio Wireless Regional Area Network Standard, and Radio Platforms and Testbeds.
Cognitive Radio - An Enabler for Internet of Things (River Publishers Series In Communications Ser.)
by R. Kalidoss M. A. Bhagyaveni K. S. VishvaksenanInternet of Things (IoT) deals with the interconnection of devices that can communicate with each other over the internet. Currently, several smart systems have evolved with the evolution in IoT. Cognitive Radio - an enabler for Internet of Things is a research level subject for all communication engineering students at undergraduate, post graduate and research levels. The contents of the book are designed to cover the prescribed syllabus for one semester course on the subject prescribed by universities. Concepts have been explained thoroughly in simple and lucid language. Mathematical analysis has been used wherever necessary followed by clear and lucid explanation of the findings and their implication. Key technologies presented include dynamic spectrum access, spectrum sensing techniques, IEEE 802.22 and different radio network architectures. Their role and use in the context of mobile broadband access in general is explained, giving both a high level overview and a detailed step by step explanation. The book includes a large number of diagrams, MATLAB examples, thereby enabling the readers to have a sound grasp of the concepts presented and their applications. This book is a must have resource for engineers and other professionals in the telecommunication industry working with cellular or wireless broadband technologies, helping comprehension of the process of utilization of the updated technology to enable being ahead competition.
Cognitive Radio Mobile Ad Hoc Networks
by F. Richard YuCognitive radios (CR) technology is capable of sensing its surrounding environment and adapting its internal states by making corresponding changes in certain operating parameters. CR is envisaged to solve the problems of the limited available spectrum and the inefficiency in the spectrum usage. CR has been considered in mobile ad hoc networks (MANETs), which enable wireless devices to dynamically establish networks without necessarily using a fixed infrastructure. The changing spectrum environment and the importance of protecting the transmission of the licensed users of the spectrum mainly differentiate classical MANETs from CR-MANETs. The cognitive capability and re-configurability of CR-MANETs have opened up several areas of research which have been explored extensively and continue to attract research and development. The book will describe CR-MANETs concepts, intrinsic properties and research challenges of CR-MANETs. Distributed spectrum management functionalities, such as spectrum sensing and sharing, will be presented. The design, optimization and performance evaluation of security issues and upper layers in CR-MANETs, such as transport and application layers, will be investigated.
Cognitive Radio, Mobile Communications and Wireless Networks (EAI/Springer Innovations in Communication and Computing)
by Mubashir Husain Rehmani Riadh DhaouThis book provides an overview of the latest research and development of new technologies for cognitive radio, mobile communications, and wireless networks. The contributors discuss the research and requirement analysis and initial standardization work towards 5G cellular systems and the capacity problems it presents. They show how cognitive radio, with the capability to flexibly adapt its parameters, has been proposed as the enabling technology for unlicensed secondary users to dynamically access the licensed spectrum owned by legacy primary users on a negotiated or an opportunistic basis. They go on to show how cognitive radio is now perceived in a much broader paradigm that will contribute to solve the resource allocation problem that 5G requirements raise. The chapters represent hand-selected expanded papers from EAI sponsored and hosted conferences such as the 12th EAI International Conference on Mobile and Ubiquitous Systems, the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, the 10th International Conference on Cognitive Radio Oriented Wireless Networks, the 8th International Conference on Mobile Multimedia Communications, and the EAI International Conference on Software Defined Wireless Networks and Cognitive Technologies for IoT.
Cognitive Radio Networks: From Theory to Practice (Analog Circuits and Signal Processing)
by Magdy Bayoumi Ahmed Khattab Dmitri PerkinsThis book describes a communication paradigm that could shape the future of wireless communication networks, Opportunistic Spectrum Access (OSA) in Cognitive Radio Networks (CRN). While several theoretical OSA approaches have been proposed, they are challenged by the practical limitations of cognitive radios: the key enabling technology of OSA. This book presents an unprecedented formulation of the OSA problem in CNR that takes into account the practical limitations encountered due to existing technologies. Based on such a problem formulation, this book presents a framework and protocol details implementing the analytically-optimized solution of this problem. Unlike the state-of-the-art of CRN implementations that typically target software define radios which are not suitable for real systems, this book describes the implementation of distributed OSA, using practical radio transceiver technologies. It provides a thorough characterization of the gains available to theoretical OSA approaches if the practical limitations are taken into consideration. Tackles the cognitive radio networks performance optimization problem, taking into account the practical limitations of today's technologies; Provides thorough performance evaluation in arbitrary, large-scale networks, as well as microscopic, small-scale performance evaluation, using realistic hardware implementation;Presents an empirical study of the gains available over existing techniques by adopting practical approaches; Tackles the cognitive radio networks performance optimization problem, taking into account the practical limitations of today's technologies; Provides thorough performance evaluation in arbitrary, large-scale networks, as well as microscopic, small-scale performance evaluation, using realistic hardware implementation;Presents an empirical study of the gains available over existing techniques by adopting practical approaches;
Cognitive Radio Networks: Medium Access Control for Coexistence of Wireless Systems
by Kaigui Bian Jung-Min Park Bo GaoThis book gives a comprehensive overview of the medium access control (MAC) principles in cognitive radio networks, with a specific focus on how such MAC principles enable different wireless systems to coexist in the same spectrum band and carry out spectrum sharing. From algorithm design to the latest developments in the standards and spectrum policy, readers will benefit from leading-edge knowledge of how cognitive radio systems coexist and share spectrum resources. Coverage includes cognitive radio rendezvous, spectrum sharing, channel allocation, coexistence in TV white space, and coexistence of heterogeneous wireless systems.
Cognitive Radio Networks: Efficient Resource Allocation in Cooperative Sensing, Cellular Communications, High-Speed Vehicles, and Smart Grid
by Tao Jiang Yang Cao Zhiqiang WangResource allocation is an important issue in wireless communication networks. In recent decades, cognitive radio-based networks have garnered increased attention and have been well studied to overcome the problem of spectrum scarcity in future wireless communication systems. Many new challenges in resource allocation appear in cognitive radio-based networks. This book focuses on effective resource allocation solutions in several important cognitive radio-based networks, including opportunistic spectrum access networks, cooperative sensing networks, cellular networks, high-speed vehicle networks, and smart grids.
Cognitive Radio Networks
by Ian MuehlenhausFueled by ongoing and increasing consumer demand, the explosive growth in spectrum-based communications continues to tax the finite resources of the available spectrum. One possible solution, Cognitive Radio Network (CRN), allows unlicensed users opportunistic access to licensed bands without interfering with existing users. Although some initial s