Internet Of Things A Hands On Approach
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Internet Of Things
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Author : Arshdeep Bahga
language : en
Publisher:
Release Date : 2014-09-12
Internet Of Things written by Arshdeep Bahga and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-12 with Computers categories.
Internet of Things (IoT) refers to physical and virtual objects that have unique identities and are connected to the internet to facilitate intelligent applications that make energy, logistics, industrial control, retail, agriculture and many other domains "smarter." Internet of Things is a new revolution of the Internet that is rapidly gathering momentum driven by the advancements in sensor networks, mobile devices, wireless communications, networking and cloud technologies. Experts forecast that by the year 2020 there will be a total of 50 billion devices/things connected to the internet. This book is written as a textbook on Internet of Things for educational programs at colleges and universities, and also for IoT vendors and service providers who may be interested in offering a broader perspective of Internet of Things to accompany their own customer and developer training programs. The typical reader is expected to have completed a couple of courses in programming using traditional high-level languages at the college-level, and is either a senior or a beginning graduate student in one of the science, technology, engineering or mathematics (STEM) fields. Like our companion book on Cloud Computing, we have tried to write a comprehensive book that transfers knowledge through an immersive "hands on" approach, where the reader is provided the necessary guidance and knowledge to develop working code for real-world IoT applications. Additional support is available at the book's website: www.internet-of-things-book.com The book is organized into 3 main parts, comprising of a total of 11 chapters. Part I covers the building blocks of Internet of Things (IoTs) and their characteristics. A taxonomy of IoT systems is proposed comprising of various IoT levels with increasing levels of complexity. Domain specific Internet of Things and their real-world applications are described. A generic design methodology for IoT is proposed. An IoT system management approach using NETCONF-YANG is described. Part II introduces the reader to the programming aspects of Internet of Things with a view towards rapid prototyping of complex IoT applications. We chose Python as the primary programming language for this book, and an introduction to Python is also included within the text to bring readers to a common level of expertise. We describe packages, frameworks and cloud services including the WAMP-AutoBahn, Xively cloud and Amazon Web Services which can be used for developing IoT systems. We chose the Raspberry Pi device for the examples in this book. Reference architectures for different levels of IoT applications are examined in detail. Case studies with complete source code for various IoT domains including home automation, smart environment, smart cities, logistics, retail, smart energy, smart agriculture, industrial control and smart health, are described. Part III introduces the reader to advanced topics on IoT including IoT data analytics and Tools for IoT. Case studies on collecting and analyzing data generated by Internet of Things in the cloud are described.
Internet Of Things
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Author : Dr. Ritesh Shrikant Sule, Asst. Prof. Kajal K. Dongare, Asst. Prof. Neha S. Ankar
language : en
Publisher: Notion Press
Release Date : 2024-07-27
Internet Of Things written by Dr. Ritesh Shrikant Sule, Asst. Prof. Kajal K. Dongare, Asst. Prof. Neha S. Ankar and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-27 with Education categories.
The Internet of Things (IoT) represents a transformative shift in how we interact with the world around us. As the boundaries between the physical and digital realms blur, IoT has emerged as a key enabler of this convergence, connecting everyday objects to the internet and to each other, thereby creating a network of interconnected devices that communicate, analyze, and act upon data. The vision of IoT extends beyond the mere connection of devices; it encompasses the integration of sensors, software, and technologies that collect and exchange data to enhance decision-making, efficiency, and user experience. This interconnected ecosystem spans across various domains, including smart homes, healthcare, transportation, manufacturing, and agriculture, offering unprecedented opportunities for innovation and growth. The evolution of IoT is driven by advancements in several key areas: Connectivity Miniaturization and Affordability Big Data and Analytics Artificial Intelligence (AI) This preface aims to set the stage for a deeper exploration of the Internet of Things, providing an overview of its foundational concepts, applications, and the transformative impact it is poised to have on various aspects of society. As we delve into the intricacies of IoT, we will uncover the innovative solutions it offers and the pivotal role it plays in shaping the future of technology and human interaction.
Internet Of Things
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Author : Vlasios Tsiatsis
language : en
Publisher: Academic Press
Release Date : 2018-11-16
Internet Of Things written by Vlasios Tsiatsis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-16 with Technology & Engineering categories.
Internet of Things: Technologies and Applications for a New Age of Intelligence outlines the background and overall vision for the Internet of Things (IoT) and Cyber-Physical Systems (CPS), as well as associated emerging technologies. Key technologies are described including device communication and interactions, connectivity of devices to cloud-based infrastructures, distributed and edge computing, data collection, and methods to derive information and knowledge from connected devices and systems using artificial intelligence and machine learning. Also included are system architectures and ways to integrate these with enterprise architectures, and considerations on potential business impacts and regulatory requirements. New to this edition: • Updated material on current market situation and outlook.• A description of the latest developments of standards, alliances, and consortia. More specifically the creation of the Industrial Internet Consortium (IIC) and its architecture and reference documents, the creation of the Reference Architectural Model for Industrie 4.0 (RAMI 4.0), the exponential growth of the number of working groups in the Internet Engineering Task Force (IETF), the transformation of the Open Mobile Alliance (OMA) to OMA SpecWorks and the introduction of OMA LightweightM2M device management and service enablement protocol, the initial steps in the specification of the architecture of Web of Things (WoT) by World Wide Consortium (W3C), the GS1 architecture and standards, the transformation of ETSI-M2M to oneM2M, and a few key facts about the Open Connectivity Forum (OCF), IEEE, IEC/ISO, AIOTI, and NIST CPS.• The emergence of new technologies such as distributed ledgers, distributed cloud and edge computing, and the use of machine learning and artificial intelligence for IoT.• A chapter on security, outlining the basic principles for secure IoT installations.• New use case description material on Logistics, Autonomous Vehicles, and Systems of CPS - Standards organizations covered: IEEE, 3GPP, IETF, IEC/ISO, Industrial Internet Consortium (IIC), ITU-T, GS1, Open Geospatial Consortium (OGC), Open Mobile Alliance (OMA, e.g. LightweightM2M), Object Management Group (OMG, e.g. Business Process Modelling Notation (BPMN)), oneM2M, Open Connectivity Forum (OCF), W3C - Key technologies for IoT covered: Embedded systems hardware and software, devices and gateways, capillary networks, local and wide area networking, IoT data management and data warehousing, data analytics and big data, complex event processing and stream analytics, control systems, machine learning and artificial intelligence, distributed cloud and edge computing, and business process and enterprise integration - In-depth security solutions for IoT systems - Technical explanations combined with design features of IoT and use cases, which help the development of real-world solutions - Detailed descriptions of the architectures and technologies that form the basis of IoT - Clear examples of IoT use cases from real-world implementations such as Smart Grid, Smart Buildings, Smart Cities, Logistics and Participatory Sensing, Industrial Automation, and Systems of CPS - Market perspectives, IoT evolution, and future outlook
Ai Iot And Machine Learning Basics
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Author : Dr Aadam Quraishi MD
language : en
Publisher: Xoffencer intrernational book publication house
Release Date : 2024-12-30
Ai Iot And Machine Learning Basics written by Dr Aadam Quraishi MD and has been published by Xoffencer intrernational book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
The 21st century has ushered in a period of unparalleled technological developments, which have radically altered how we live, work, and interact with the environment that surrounds us. Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) are three revolutionary technologies that are at the heart of this massive upheaval. These technologies are no longer something that will be developed in the future; rather, they are now influencing industries, spurring innovation, and building systems that are smarter and more connected. Since the advent of the digital revolution, the gap between the physical and virtual realities has been crossed. This has made it possible for computers to carry out activities, make judgments, and learn from data with minimum assistance from humans. The Internet of Things (IoT) links common devices to the Internet, artificial intelligence (AI) enables systems to imitate human intellect, and machine learning (ML) enables computers to learn from huge quantities of data to make predictions and improve performance over time. In a society that is becoming more and more dependent on intelligent solutions, understanding these technologies is no longer an option. Artificial intelligence (AI), the Internet of Things (IoT), and machine learning have permeated every facet of contemporary life, from wearable gadgets and smart homes to predictive healthcare and driverless automobiles. What drives me: As will be explained in the chapter, the AI/ML-based Internet of Things systems are making significant contributions to the advancement of all areas of technology and society. As a result, gaining knowledge about these systems, even if it is in a general sense, would be beneficial to our growth even in our specialized areas. Because it has demonstrated its usefulness across all sectors and businesses, the potential that this technological combination possesses is not something that one can either ignore or choose to ignore. It will undoubtedly transform from a talent that can be added to one that is required in the future. In this chapter, you will get an understanding of the most popular 2 | P a g e terminology in the world of technology today, including artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), as well as how these concepts interact with one another. In this course, you will learn about the rapidly expanding field of artificial intelligence-based Internet of Things (IoT) technologies and how these systems are utilized in everyday life to simplify our lives and enrich our experiences. Your perspective will broaden as a result of the numerous applications that will be discussed, particularly about how this technology may be utilized and how you can benefit from it. 1.2 ARTIFICIAL INTELLIGENCE We all now have a general understanding of artificial intelligence and how it works. To summarise the information that was presented in the introduction, artificial intelligence (AI) can be defined as "a vast branch of computer science that endeavors to build smart entities capable of performing intelligent tasks without human intervention." In other words, AI is the simulation of human intelligence in machines, which grants them the capabilities to mimic and behave like humans. These entities are grouped under a single umbrella term known as Intelligent Agents (IA). If an entity can see its surroundings, comprehend it, and act upon it, then that creature is considered an IA. It is possible to perceive it as being composed of three halves. First, there are the Sensors in the system. It is a reference to the portion of the AI that is responsible for assisting it in perceiving stimuli from the outside environment. The Actuators are the second entity in the system. AI can include methods that create the required effects with the assistance of this. The third component of the agent is the Effector, which is utilized by the agent to exert its influence on the surrounding environment. Consequently, we can comprehend the idea of PEAS from this. Performance Measurement, Environment, Actuator, and Sensor are the components that make up PEAS. Using PEAS, we can gain a more in-depth understanding of Intelligent Agents, which in turn helps us develop more effective Rational Agents. A performance metric is a judgment of how well something is performing. Environment is a term that relates to the surrounding environment, which includes the entities that are doing the act. Actuators are the components or instruments that are essential to the operation of the mechanism
The Internet Of Educational Things
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Author : Muralidhar Kurni
language : en
Publisher: Springer Nature
Release Date : 2024-09-19
The Internet Of Educational Things written by Muralidhar Kurni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-19 with Computers categories.
The Internet of Educational Things - Enhancing Students’ Engagement and Learning Performance delves into the transformative potential of the Internet of Things (IoT) within education. This comprehensive guide explores how IoT technology can revolutionize traditional teaching methods and learning environments, fostering more interactive, adaptive, and data-driven experiences. The book covers a wide range of topics, including the development of IoT-enabled classrooms, intelligent tutoring systems, and online labs. By leveraging real-time data and advanced analytics, educators can personalize learning paths, enhance student engagement, and optimize resource allocation. Practical applications, real-world examples, and case studies illustrate the benefits and challenges of incorporating IoT in educational settings, making it a valuable resource for students, teachers, researchers, and policymakers. The book provides practical implementation strategies and addresses critical issues such as data privacy, cybersecurity, and ethical considerations. It thoroughly examines the latest technologies, including AI, AR, VR, and digital twins, and their integration with IoT to create futuristic learning environments. The book’s unique contribution lies in its emphasis on securing IoT systems and its recommendations for overcoming infrastructure readiness and staff training obstacles. By presenting a forward-looking perspective on the role of IoT in education, this book aims to equip stakeholders with the knowledge and tools necessary to create innovative, inclusive, and secure learning ecosystems that prepare students for the future.
Handbook Of Integration Of Cloud Computing Cyber Physical Systems And Internet Of Things
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Author : Rajiv Ranjan
language : en
Publisher: Springer Nature
Release Date : 2020-11-04
Handbook Of Integration Of Cloud Computing Cyber Physical Systems And Internet Of Things written by Rajiv Ranjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Computers categories.
This handbook covers recent advances in the integration of three areas, namely, cloud computing, cyber-physical systems, and the Internet of things which is expected to have a tremendous impact on our daily lives. It contains a total of thirteen peer-reviewed and edited chapters. This book covers topics such as context-aware cyber-physical systems, sustainable cloud computing, fog computing, and cloud monitoring; both the theoretical and practical aspects belonging to these topics are discussed. All the chapters also discuss open research challenges in the areas mentioned above. Finally, the handbook presents three use cases regarding healthcare, smart buildings and disaster management to assist the audience in understanding how to develop next-generation IoT- and cloud-enabled cyber-physical systems. This timely handbook is edited for students, researchers, as well as professionals who are interested in the rapidly growing fields of cloud computing, cyber-physical systems, and the Internet of things.
Introduction To Iot
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Author : Sudip Misra
language : en
Publisher: Cambridge University Press
Release Date : 2021-06-10
Introduction To Iot written by Sudip Misra and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-10 with Computers categories.
A valuable guide for new and experienced readers, featuring the complex and massive world of IoT and IoT-based solutions.
Optimization And Computing Using Intelligent Data Driven Approaches For Decision Making
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Author : Irfan Ali
language : en
Publisher: CRC Press
Release Date : 2024-12-26
Optimization And Computing Using Intelligent Data Driven Approaches For Decision Making written by Irfan Ali and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-26 with Computers categories.
This book comprehensively discusses nature‐inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the Internet of Things and multi‐objective optimization under Fermatean hesitant fuzzy and uncertain environment. This book: Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the fuzzy inference system in ant colony optimization for traveling salesman problem Presents an overview of artificial intelligence (AI) and explainable AI decision‐making (XAIDM) and illustrates a data‐driven optimization concept for modeling environmental and economic sustainability Discusses machine learning‐based multi‐objective optimization technique for load balancing in integrated fog‐cloud environment Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals Discusses sustainable transit of hazardous waste, green fractional transportation system, perishable inventory, M‐estimation of functional regression operator, and intuitionistic fuzzy sets applications The text is primarily written for graduate students and academic researchers in diverse fields, including operations research, mathematics, statistics, computer science, information and communication technology, and industrial engineering.
Model And Data Engineering
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Author : Philippe Fournier-Viger
language : en
Publisher: Springer Nature
Release Date : 2022-11-18
Model And Data Engineering written by Philippe Fournier-Viger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Conference on Model and Data Engineering, MEDI 2022, held in Cairo, Egypt, in November 2022. The 18 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover topics such as database systems, data stream analysis, knowledge-graphs, machine learning, model-driven engineering, image processing, diagnosis, natural language processing, optimization, and advanced applications such as the internet of things and healthcare.
Proceedings Of The 11th International Conference On Soft Computing And Pattern Recognition Socpar 2019
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Author : Ajith Abraham
language : en
Publisher: Springer Nature
Release Date : 2020-07-31
Proceedings Of The 11th International Conference On Soft Computing And Pattern Recognition Socpar 2019 written by Ajith Abraham and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Technology & Engineering categories.
This book highlights recent research on soft computing, pattern recognition and biologically inspired computing. It presents 24 selected papers from the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) and 5 papers from the 11th World Congress on Nature and Biologically Inspired Computing (NaBIC 2019), held at Vardhaman College of Engineering, Hyderabad, India, on December 13–15, 2019. SoCPaR–NaBIC is a premier conference and brings together researchers, engineers and practitioners whose work involves soft computing and bio-inspired computing, as well as their industrial and real-world applications. Including contributions by authors from 15 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.