Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention outlines how nanotechnology and space technology could be applied for the detection of disaster risks in early stages, using cheap sensors, cheap constellations of low Earth orbit (LEO) satellites, and smart wireless networks with artificial intelligence (AI) tools.

Nanomaterial-based sensors (nanosensors) can offer several advantages over their micro-counterparts, such as lower power or self-powered consumption, high sensitivity, lower concentration of analytes, and smaller interaction distances between the object and the sensor. Besides this, with the support of AI tools, such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems are becoming smarter when a large number of sensors are used.

This book is an important reference source for materials scientists, engineers, and environmental scientists who are seeking to understand how nanotechnology-based solutions can help mitigate natural disasters.

Communication Systems is as an introductory textbook, presenting Fourier transform, convolution, and definitions of autocorrelation and power spectral density. It also introduces concepts of probability, random variables, and stochastic processes and their applications to the analysis of linear systems.

Innovatively, the text treats the modulation process using stochastic processes as well as covers amplitude modulation, quadrature modulation, angle modulation, mobile cellular systems, propagation channels and more. Quantization and coding of analog signals is also treated, as well as speech coding.

Channel modeling, including channel characteristics and propagation, is covered with an emphasis on simple models. Transmission and reception of modulated carriers is included as well as the required transmitting and receiving equipment. Mobile communication is also covered and considers both analog and digital systems.

The authors provide five appendices which cover topics such as Fourier series and transforms, Hilbert transform, important formulae, and cellular systems including CDMA and GSM standards. Many examples are provided as well as problems at the end of each chapter to allow the reader to practice his acquired knowledge.

This book introduces the basic concepts of set theory, measure theory, the axiomatic theory of probability, random variables and multidimensional random variables, functions of random variables, convergence theorems, laws of large numbers, and fundamental inequalities. The idea is to present a seamless connection between the more abstract advanced set theory, the fundamental concepts from measure theory, and integration, to introduce the axiomatic theory of probability, filling in the gaps from previous books and leading to an interesting, robust and, hopefully, self-contained exposition of the theory.

This book also presents an account of the historical evolution of probability theory as a mathematical discipline. Each chapter presents a short biography of the important scientists who helped develop the subject. Appendices include Fourier transforms in one and two dimensions, important formulas and inequalities and commented bibliography. Many examples, illustrations and graphics help the reader understand the theory.

This book introduces the basic concepts of set theory, measure theory, the axiomatic theory of probability, random variables and multidimensional random variables, functions of random variables, convergence theorems, laws of large numbers, and fundamental inequalities. The idea is to present a seamless connection between the more abstract advanced set theory, the fundamental concepts from measure theory, and integration, to introduce the axiomatic theory of probability, filling in the gaps from previous books and leading to an interesting, robust and, hopefully, self-contained exposition of the theory.

This book also presents an account of the historical evolution of probability theory as a mathematical discipline. Each chapter presents a short biography of the important scientists who helped develop the subject. Appendices include Fourier transforms in one and two dimensions, important formulas and inequalities and commented bibliography. Many examples, illustrations and graphics help the reader understand the theory.

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.

The 3rd edition of this textbook updates its comprehensive coverage of Fourier transform, convolution, and definitions of autocorrelation and power spectral density. This new edition features new chapters on transmission in non-stationary channels and 5G and mobile communications. The authors continue 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 features updated information on AM-VSB Modulation, new examples related to new digital television standards, and a 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.

This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2023), organized by School of Computer Science and Engineering, REVA University, Bengaluru, India, during June 21–22, 2023. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the objects/things/people working under various information systems and deployed under wide range of applications like smart cities, healthcare, industries, and smart homes.

Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention outlines how nanotechnology and space technology could be applied for the detection of disaster risks in early stages, using cheap sensors, cheap constellations of low Earth orbit (LEO) satellites, and smart wireless networks with artificial intelligence (AI) tools.

Nanomaterial-based sensors (nanosensors) can offer several advantages over their micro-counterparts, such as lower power or self-powered consumption, high sensitivity, lower concentration of analytes, and smaller interaction distances between the object and the sensor. Besides this, with the support of AI tools, such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems are becoming smarter when a large number of sensors are used.

This book is an important reference source for materials scientists, engineers, and environmental scientists who are seeking to understand how nanotechnology-based solutions can help mitigate natural disasters.

Communication Systems is as an introductory textbook, presenting Fourier transform, convolution, and definitions of autocorrelation and power spectral density. It also introduces concepts of probability, random variables, and stochastic processes and their applications to the analysis of linear systems.

Innovatively, the text treats the modulation process using stochastic processes as well as covers amplitude modulation, quadrature modulation, angle modulation, mobile cellular systems, propagation channels and more. Quantization and coding of analog signals is also treated, as well as speech coding.

Channel modeling, including channel characteristics and propagation, is covered with an emphasis on simple models. Transmission and reception of modulated carriers is included as well as the required transmitting and receiving equipment. Mobile communication is also covered and considers both analog and digital systems.

The authors provide five appendices which cover topics such as Fourier series and transforms, Hilbert transform, important formulae, and cellular systems including CDMA and GSM standards. Many examples are provided as well as problems at the end of each chapter to allow the reader to practice his acquired knowledge.

This book introduces the basic concepts of set theory, measure theory, the axiomatic theory of probability, random variables and multidimensional random variables, functions of random variables, convergence theorems, laws of large numbers, and fundamental inequalities. The idea is to present a seamless connection between the more abstract advanced set theory, the fundamental concepts from measure theory, and integration, to introduce the axiomatic theory of probability, filling in the gaps from previous books and leading to an interesting, robust and, hopefully, self-contained exposition of the theory.

This book also presents an account of the historical evolution of probability theory as a mathematical discipline. Each chapter presents a short biography of the important scientists who helped develop the subject. Appendices include Fourier transforms in one and two dimensions, important formulas and inequalities and commented bibliography. Many examples, illustrations and graphics help the reader understand the theory.

This book introduces the basic concepts of set theory, measure theory, the axiomatic theory of probability, random variables and multidimensional random variables, functions of random variables, convergence theorems, laws of large numbers, and fundamental inequalities. The idea is to present a seamless connection between the more abstract advanced set theory, the fundamental concepts from measure theory, and integration, to introduce the axiomatic theory of probability, filling in the gaps from previous books and leading to an interesting, robust and, hopefully, self-contained exposition of the theory.

This book also presents an account of the historical evolution of probability theory as a mathematical discipline. Each chapter presents a short biography of the important scientists who helped develop the subject. Appendices include Fourier transforms in one and two dimensions, important formulas and inequalities and commented bibliography. Many examples, illustrations and graphics help the reader understand the theory.

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.

The 3rd edition of this textbook updates its comprehensive coverage of Fourier transform, convolution, and definitions of autocorrelation and power spectral density. This new edition features new chapters on transmission in non-stationary channels and 5G and mobile communications. The authors continue 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 features updated information on AM-VSB Modulation, new examples related to new digital television standards, and a 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.

This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2023), organized by School of Computer Science and Engineering, REVA University, Bengaluru, India, during June 21–22, 2023. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the objects/things/people working under various information systems and deployed under wide range of applications like smart cities, healthcare, industries, and smart homes.