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The interconnectivity of appliances, everyday objects, and people to the Web is called the “Internet of Things.” Electric cars are being made smart and fast with software updates that are pushed to them wirelessly. Electrical outlets can be tuned off from anywhere in the world, and people can even track the amount of energy the plugs are using by looking at a cell phone. This insightful volume describes some of these intriguing state-of-the-art devices, including tracking devices to monitor endangered animals or help find lost pets and sensors in water treatment facilities that can help control a city’s water supply.
Book Synopsis Smart Machines and the Internet of Things by : Ryan Nagelhout
Download or read book Smart Machines and the Internet of Things written by Ryan Nagelhout and published by The Rosen Publishing Group, Inc. This book was released on 2015-12-15 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interconnectivity of appliances, everyday objects, and people to the Web is called the “Internet of Things.” Electric cars are being made smart and fast with software updates that are pushed to them wirelessly. Electrical outlets can be tuned off from anywhere in the world, and people can even track the amount of energy the plugs are using by looking at a cell phone. This insightful volume describes some of these intriguing state-of-the-art devices, including tracking devices to monitor endangered animals or help find lost pets and sensors in water treatment facilities that can help control a city’s water supply.
Internet of Things (IoT) is a recent technology paradigm that creates a global network of machines and devices that are capable of communicating with each other. Security cameras, sensors, vehicles, buildings, and software are examples of devices that can exchange data between each other. IoT is recognized as one of the most important areas of future technologies and is gaining vast recognition in a wide range of applications and fields related to smart homes and cities, military, education, hospitals, homeland security systems, transportation and autonomous connected cars, agriculture, intelligent shopping systems, and other modern technologies. This book explores the most important IoT automated and smart applications to help the reader understand the principle of using IoT in such applications.
Book Synopsis Internet of Things (IoT) for Automated and Smart Applications by : Yasser Ismail
Download or read book Internet of Things (IoT) for Automated and Smart Applications written by Yasser Ismail and published by BoD – Books on Demand. This book was released on 2019-11-27 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things (IoT) is a recent technology paradigm that creates a global network of machines and devices that are capable of communicating with each other. Security cameras, sensors, vehicles, buildings, and software are examples of devices that can exchange data between each other. IoT is recognized as one of the most important areas of future technologies and is gaining vast recognition in a wide range of applications and fields related to smart homes and cities, military, education, hospitals, homeland security systems, transportation and autonomous connected cars, agriculture, intelligent shopping systems, and other modern technologies. This book explores the most important IoT automated and smart applications to help the reader understand the principle of using IoT in such applications.
This reference text discusses intelligent robotic and drone technology with embedded Internet of Things (IoT) for smart applications. The text discusses future directions of optimization methods with various engineering and science fundamentals used in robotics and drone-based applications. Its emphasis is on covering deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. It covers important topics including sensors and actuators in the internet of things (IoT), internet-of-robotics-things (IoRT), IoT in agriculture and food processing, routing challenges in flying Ad-hoc networks, and smart cities. The book will serve as a useful text for graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and mechanical engineering.
Book Synopsis Internet of Things by : Nitin Goyal
Download or read book Internet of Things written by Nitin Goyal and published by CRC Press. This book was released on 2021-11-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text discusses intelligent robotic and drone technology with embedded Internet of Things (IoT) for smart applications. The text discusses future directions of optimization methods with various engineering and science fundamentals used in robotics and drone-based applications. Its emphasis is on covering deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. It covers important topics including sensors and actuators in the internet of things (IoT), internet-of-robotics-things (IoRT), IoT in agriculture and food processing, routing challenges in flying Ad-hoc networks, and smart cities. The book will serve as a useful text for graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and mechanical engineering.
Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.
Book Synopsis Hands-On Artificial Intelligence for IoT by : Amita Kapoor
Download or read book Hands-On Artificial Intelligence for IoT written by Amita Kapoor and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.
As the number of digital devices used in daily life grows, it comes as no surprise that the next step in technological evolution is to conveniently interconnect these devices. This is where the Internet of Things fits in. The Internet of Things refers to all devices that are connected to the internet and share data on it, but there are numerous applications for this technology, ranging from smartphones to driverless cars. Despite the convenience smart devices offer, they also raise significant concerns about data privacy and security. Readers will encounter contrasting viewpoints on this timely and evolving issue.
Book Synopsis The Internet of Things by :
Download or read book The Internet of Things written by and published by Greenhaven Publishing LLC. This book was released on 2021-07-15 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the number of digital devices used in daily life grows, it comes as no surprise that the next step in technological evolution is to conveniently interconnect these devices. This is where the Internet of Things fits in. The Internet of Things refers to all devices that are connected to the internet and share data on it, but there are numerous applications for this technology, ranging from smartphones to driverless cars. Despite the convenience smart devices offer, they also raise significant concerns about data privacy and security. Readers will encounter contrasting viewpoints on this timely and evolving issue.
What Is Smart Machines A smart device is an electronic device that is generally connected to other devices or networks through various wireless protocols such as Bluetooth, Zigbee, NFC, Wi-Fi, LiFi, 5G, etc., and that can operate interactively and autonomously to some degree. Smart devices can also communicate with other devices or networks. The terms "smartphone," "smart automobile," "smart thermostat," "smart doorbell," "smart locks," "smart refrigerator," "phablets" and "tablets," "smartwatches," "smart bands," "smart key chains," and "smartglasses" are only a few examples of the many different sorts of "smart" gadgets. The phrase may also be used to refer to a device that demonstrates certain characteristics of ubiquitous computing, such as Machine learning (although this is not always the case). How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Smart device Chapter 2: Ubiquitous computing Chapter 3: Embedded system Chapter 4: Intelligent transportation system Chapter 5: Context awareness Chapter 6: Information appliance Chapter 7: Mobile computing Chapter 8: Mobile device Chapter 9: Smart environment Chapter 10: Proximity marketing Chapter 11: Smart object Chapter 12: Cyber-physical system Chapter 13: Capacitive sensing Chapter 14: Organic user interface Chapter 15: Mobile interaction Chapter 16: Urban computing Chapter 17: Telecooperation Office Chapter 18: Mobile security Chapter 19: Intelligent street Chapter 20: Smudge attack Chapter 21: Human Media Lab (II) Answering the public top questions about smart machines. (III) Real world examples for the usage of smart machines in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of smart machines' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of smart machines.
Book Synopsis Smart Machines by : Fouad Sabry
Download or read book Smart Machines written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2022-07-10 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Smart Machines A smart device is an electronic device that is generally connected to other devices or networks through various wireless protocols such as Bluetooth, Zigbee, NFC, Wi-Fi, LiFi, 5G, etc., and that can operate interactively and autonomously to some degree. Smart devices can also communicate with other devices or networks. The terms "smartphone," "smart automobile," "smart thermostat," "smart doorbell," "smart locks," "smart refrigerator," "phablets" and "tablets," "smartwatches," "smart bands," "smart key chains," and "smartglasses" are only a few examples of the many different sorts of "smart" gadgets. The phrase may also be used to refer to a device that demonstrates certain characteristics of ubiquitous computing, such as Machine learning (although this is not always the case). How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Smart device Chapter 2: Ubiquitous computing Chapter 3: Embedded system Chapter 4: Intelligent transportation system Chapter 5: Context awareness Chapter 6: Information appliance Chapter 7: Mobile computing Chapter 8: Mobile device Chapter 9: Smart environment Chapter 10: Proximity marketing Chapter 11: Smart object Chapter 12: Cyber-physical system Chapter 13: Capacitive sensing Chapter 14: Organic user interface Chapter 15: Mobile interaction Chapter 16: Urban computing Chapter 17: Telecooperation Office Chapter 18: Mobile security Chapter 19: Intelligent street Chapter 20: Smudge attack Chapter 21: Human Media Lab (II) Answering the public top questions about smart machines. (III) Real world examples for the usage of smart machines in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of smart machines' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of smart machines.
This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.
Book Synopsis Artificial Intelligence and Internet of Things by : Lalit Mohan Goyal
Download or read book Artificial Intelligence and Internet of Things written by Lalit Mohan Goyal and published by CRC Press. This book was released on 2021-08-25 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.
The internet of things (IoT) has massive potential to transform current business models and enhance human lifestyles. With the current pace of research, IoT will soon find many new horizons to touch. IoT is now providing a base of technological advancement in various realms such as pervasive healthcare, smart homes, smart cities, connected logistics, automated supply chain, manufacturing units, and many more. IoT is also paving the path for the emergence of the digital revolution in industrial technology, termed Industry 4.0. Transforming the Internet of Things for Next-Generation Smart Systems focuses on the internet of things (IoT) and how it is involved in modern day technologies in a variety of domains. The chapters cover IoT in sectors such as agriculture, education, business and management, and computer science applications. The multi-disciplinary view of IoT provided within this book makes it an ideal reference work for IT specialists, technologists, engineers, developers, practitioners, researchers, academicians, and students interested in how IoT will be implemented in the next generation of smart systems and play an integral role in advancing technology in the future.
Book Synopsis Transforming the Internet of Things for Next-Generation Smart Systems by : Alankar, Bhavya
Download or read book Transforming the Internet of Things for Next-Generation Smart Systems written by Alankar, Bhavya and published by IGI Global. This book was released on 2021-06-04 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet of things (IoT) has massive potential to transform current business models and enhance human lifestyles. With the current pace of research, IoT will soon find many new horizons to touch. IoT is now providing a base of technological advancement in various realms such as pervasive healthcare, smart homes, smart cities, connected logistics, automated supply chain, manufacturing units, and many more. IoT is also paving the path for the emergence of the digital revolution in industrial technology, termed Industry 4.0. Transforming the Internet of Things for Next-Generation Smart Systems focuses on the internet of things (IoT) and how it is involved in modern day technologies in a variety of domains. The chapters cover IoT in sectors such as agriculture, education, business and management, and computer science applications. The multi-disciplinary view of IoT provided within this book makes it an ideal reference work for IT specialists, technologists, engineers, developers, practitioners, researchers, academicians, and students interested in how IoT will be implemented in the next generation of smart systems and play an integral role in advancing technology in the future.
The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
Book Synopsis Machine Learning and IoT for Intelligent Systems and Smart Applications by : Madhumathy P
Download or read book Machine Learning and IoT for Intelligent Systems and Smart Applications written by Madhumathy P and published by CRC Press. This book was released on 2021-11-17 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.
This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.
Book Synopsis Recent Trends and Advances in Artificial Intelligence and Internet of Things by : Valentina E. Balas
Download or read book Recent Trends and Advances in Artificial Intelligence and Internet of Things written by Valentina E. Balas and published by Springer Nature. This book was released on 2019-11-19 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.
