Artificial Intelligence And Iot

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Hands-On Artificial Intelligence for IoT

Amita Kapoor
Hands On Artificial Intelligence for IoT Book PDF

Author : Amita Kapoor
Publisher : Packt Publishing Ltd
Page : 382 pages
File Size : 43,8 Mb
Release : 2019-01-31
Category : Computers
ISBN : 9781788832762

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Hands-On Artificial Intelligence for IoT by Amita Kapoor Pdf

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.

Artificial Intelligence in IoT

Fadi Al-Turjman
Artificial Intelligence in IoT Book PDF

Author : Fadi Al-Turjman
Publisher : Springer
Page : 231 pages
File Size : 45,6 Mb
Release : 2019-02-12
Category : Technology & Engineering
ISBN : 9783030041106

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Artificial Intelligence in IoT by Fadi Al-Turjman Pdf

This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.

Hybrid Artificial Intelligence and IoT in Healthcare

Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
Hybrid Artificial Intelligence and IoT in Healthcare Book PDF

Author : Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
Publisher : Springer Nature
Page : 328 pages
File Size : 49,8 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9789811629723

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Hybrid Artificial Intelligence and IoT in Healthcare by Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque Pdf

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Artificial Intelligence for IoT Cookbook

Michael Roshak
Artificial Intelligence for IoT Cookbook Book PDF

Author : Michael Roshak
Publisher : Packt Publishing Ltd
Page : 252 pages
File Size : 54,8 Mb
Release : 2021-03-05
Category : Computers
ISBN : 9781838986490

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Artificial Intelligence for IoT Cookbook by Michael Roshak Pdf

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such as computer vision, NLP, and embedded machine learningBuild, maintain, and deploy machine learning systems to extract key insights from IoT dataBook Description Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users' lives easier. With this AI cookbook, you'll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You'll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you'll learn how to deploy models and improve their performance with ease. By the end of this book, you'll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems. What you will learnExplore various AI techniques to build smart IoT solutions from scratchUse machine learning and deep learning techniques to build smart voice recognition and facial detection systemsGain insights into IoT data using algorithms and implement them in projectsPerform anomaly detection for time series data and other types of IoT dataImplement embedded systems learning techniques for machine learning on small devicesApply pre-trained machine learning models to an edge deviceDeploy machine learning models to web apps and mobile using TensorFlow.js and JavaWho this book is for If you're an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without having to trawl through a lot of AI theory, this AI IoT book is for you. Data scientists and AI developers who want to build IoT-focused AI solutions will also find this book useful. Knowledge of the Python programming language and basic IoT concepts is required to grasp the concepts covered in this artificial intelligence book more effectively.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Recent Trends and Advances in Artificial Intelligence and Internet of Things Book PDF

Author : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Publisher : Springer Nature
Page : 618 pages
File Size : 49,8 Mb
Release : 2019-11-19
Category : Technology & Engineering
ISBN : 9783030326449

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Recent Trends and Advances in Artificial Intelligence and Internet of Things by Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava Pdf

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.

Artificial Intelligence and IoT

Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian
Artificial Intelligence and IoT Book PDF

Author : Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian
Publisher : Springer Nature
Page : 267 pages
File Size : 55,9 Mb
Release : 2021-02-12
Category : Technology & Engineering
ISBN : 9789813364004

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Artificial Intelligence and IoT by Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian Pdf

This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few examples of issues, the authors’ intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community. In editing this book, the authors’ attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter. The only way to remain pace with this data generated by the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT. IoT together with AI is more than an inclination or existence; it will develop into a paradigm. It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life. This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.

Artificial Intelligence Techniques in IoT Sensor Networks

Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset
Artificial Intelligence Techniques in IoT Sensor Networks Book PDF

Author : Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset
Publisher : CRC Press
Page : 221 pages
File Size : 48,5 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9781000318708

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Artificial Intelligence Techniques in IoT Sensor Networks by Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset Pdf

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master’s students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.

Intelligence of Things: AI-IoT Based Critical-Applications and Innovations

Fadi Al-Turjman,Anand Nayyar,Ajantha Devi,Piyush Kumar Shukla
Intelligence of Things AI IoT Based Critical Applications and Innovations Book PDF

Author : Fadi Al-Turjman,Anand Nayyar,Ajantha Devi,Piyush Kumar Shukla
Publisher : Springer Nature
Page : 244 pages
File Size : 44,7 Mb
Release : 2021-10-28
Category : Technology & Engineering
ISBN : 9783030828004

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Intelligence of Things: AI-IoT Based Critical-Applications and Innovations by Fadi Al-Turjman,Anand Nayyar,Ajantha Devi,Piyush Kumar Shukla Pdf

This book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (IoT) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using IoT. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for IoT. The book focuses on timely topics related to the field of AI enabled IoT applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled IoT in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled IoT, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysis, security, privacy, and ethics.

Machine Learning and IoT for Intelligent Systems and Smart Applications

Madhumathy P,M Vinoth Kumar,R. Umamaheswari
Machine Learning and IoT for Intelligent Systems and Smart Applications Book PDF

Author : Madhumathy P,M Vinoth Kumar,R. Umamaheswari
Publisher : CRC Press
Page : 243 pages
File Size : 52,6 Mb
Release : 2021-11-17
Category : Computers
ISBN : 9781000484960

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Machine Learning and IoT for Intelligent Systems and Smart Applications by Madhumathy P,M Vinoth Kumar,R. Umamaheswari Pdf

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.

Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture

Tomar, Pradeep,Kaur, Gurjit
Artificial Intelligence and IoT Based Technologies for Sustainable Farming and Smart Agriculture Book PDF

Author : Tomar, Pradeep,Kaur, Gurjit
Publisher : IGI Global
Page : 400 pages
File Size : 44,7 Mb
Release : 2021-01-08
Category : Technology & Engineering
ISBN : 9781799817246

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Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture by Tomar, Pradeep,Kaur, Gurjit Pdf

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics

Carmela Comito,Agostino Forestiero,Ester Zumpano
Integrating Artificial Intelligence and IoT for Advanced Health Informatics Book PDF

Author : Carmela Comito,Agostino Forestiero,Ester Zumpano
Publisher : Springer
Page : 0 pages
File Size : 47,6 Mb
Release : 2023-02-25
Category : Technology & Engineering
ISBN : 3030911837

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Integrating Artificial Intelligence and IoT for Advanced Health Informatics by Carmela Comito,Agostino Forestiero,Ester Zumpano Pdf

The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

Artificial Intelligence for the Internet of Health Things

K. Shankar,Eswaran Perumal,Deepak Gupta
Artificial Intelligence for the Internet of Health Things Book PDF

Author : K. Shankar,Eswaran Perumal,Deepak Gupta
Publisher : CRC Press
Page : 216 pages
File Size : 43,7 Mb
Release : 2021-05-10
Category : Computers
ISBN : 9781000374292

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Artificial Intelligence for the Internet of Health Things by K. Shankar,Eswaran Perumal,Deepak Gupta Pdf

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Artificial Intelligence and Internet of Things

Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
Artificial Intelligence and Internet of Things Book PDF

Author : Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
Publisher : CRC Press
Page : 406 pages
File Size : 46,6 Mb
Release : 2021-08-25
Category : Health & Fitness
ISBN : 9781000386257

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Artificial Intelligence and Internet of Things by Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte Pdf

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.

Intelligent Connectivity

Abdulrahman Yarali
Intelligent Connectivity Book PDF

Author : Abdulrahman Yarali
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 41,8 Mb
Release : 2021-11-01
Category : Computers
ISBN : 9781119685180

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Intelligent Connectivity by Abdulrahman Yarali Pdf

INTELLIGENT CONNECTIVITY AI, IOT, AND 5G Explore the economics and technology of AI, IOT, and 5G integration Intelligent Connectivity: AI, IoT, and 5G delivers a comprehensive technological and economic analysis of intelligent connectivity and the integration of artificial intelligence, Internet of Things (IoT), and 5G. It covers a broad range of topics, including Machine-to-Machine (M2M) architectures, edge computing, cybersecurity, privacy, risk management, IoT architectures, and more. The book offers readers robust statistical data in the form of tables, schematic diagrams, and figures that provide a clear understanding of the topic, along with real-world examples of applications and services of intelligent connectivity in different sectors of the economy. Intelligent Connectivity describes key aspects of the digital transformation coming with the 4th industrial revolution that will touch on industries as disparate as transportation, education, healthcare, logistics, entertainment, security, and manufacturing. Readers will also get access to: A thorough introduction to technology adoption and emerging trends in technology, including business trends and disruptive new applications Comprehensive explorations of telecommunications transformation and intelligent connectivity, including learning algorithms, machine learning, and deep learning Practical discussions of the Internet of Things, including its potential for disruption and future trends for technological development In-depth examinations of 5G wireless technology, including discussions of the first five generations of wireless tech Ideal for telecom and information technology managers, directors, and engineers, Intelligent Connectivity: AI, IoT, and 5G is also an indispensable resource for senior undergraduate and graduate students in telecom and computer science programs.

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems

Pardeep Kumar,Ahmed Jabbar Obaid,Korhan Cengiz,Ashish Khanna,Valentina Emilia Balas
A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems Book PDF

Author : Pardeep Kumar,Ahmed Jabbar Obaid,Korhan Cengiz,Ashish Khanna,Valentina Emilia Balas
Publisher : Springer Nature
Page : 462 pages
File Size : 41,7 Mb
Release : 2021-08-23
Category : Technology & Engineering
ISBN : 9783030766535

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A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems by Pardeep Kumar,Ahmed Jabbar Obaid,Korhan Cengiz,Ashish Khanna,Valentina Emilia Balas Pdf

This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.