Artificial Intelligence For Iot Cookbook

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Artificial Intelligence For Iot Cookbook

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Author : Michael Roshak
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-05

Artificial Intelligence For Iot Cookbook written by Michael Roshak and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-05 with Computers categories.

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.

Hands On Artificial Intelligence For Iot

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Author : Dr. Amita Kapoor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-16

Hands On Artificial Intelligence For Iot written by Dr. Amita Kapoor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Computers categories.

Master AI and IoT integration, from fundamentals to advanced techniques, and revolutionize your approach to building intelligent, data-driven solutions across industries Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Enhance your IoT solutions with advanced AI techniques, including deep learning, optimization, and generative adversarial networks Gain practical insights through industry-specific IoT case studies in manufacturing, smart cities, and automation Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTransform IoT devices into intelligent systems with this comprehensive guide by Amita Kapoor, Chief AI Officer at Tipz AI. Drawing on 25 years of expertise in developing intelligent systems across industries, she demonstrates how to harness the combined power of artificial intelligence and IoT technology. A pioneer in making AI and neuroscience education accessible worldwide, Amita guides you through creating smart, efficient systems that leverage the latest advances in both fields. This new edition is updated with various optimization techniques in IoT used for enhancing efficiency and performance. It introduces you to cloud platforms such as Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) for analyzing data generated using IoT devices. You’ll learn about machine learning algorithms, deep learning techniques, and practical applications in real-world IoT scenarios and advance to creating AI models that work with diverse data types, including time series, images, and audio. You’ll also harness the power of widely used Python libraries, TensorFlow and Keras, to build a variety of smart AI models. By the end of the book, you’ll emerge as a master of AI-driven IoT, armed with invaluable experience in optimizing IoT devices, boosting their performance, and integrating AI algorithms to make intelligent decisions.What you will learn Integrate AI and IoT for enhanced device intelligence Understand how to build scalable and efficient IoT systems Master both supervised and unsupervised machine learning techniques for processing IoT data Explore the full potential of deep learning in IoT applications Discover AI-driven strategies to optimize IoT system efficiency Implement real-world IoT projects that leverage AI capabilities Improve device performance and decision-making using AI algorithms Who this book is for This book is for IoT developers, engineers, and tech enthusiasts, particularly those with a background in Python, looking to integrate artificial intelligence and machine learning into IoT systems. Python developers eager to apply their knowledge in new, innovative ways will find it useful. It’s also an invaluable guide for anyone with a foundational understanding of IoT concepts ready to take their skills to the next level and shape the future of intelligent devices.

Tinyml Cookbook

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Author : Gian Marco Iodice
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-04-01

Tinyml Cookbook written by Gian Marco Iodice and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-01 with Computers categories.

Work through over 50 recipes to develop smart applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of machine learning Key Features Train and deploy ML models on Arduino Nano 33 BLE Sense and Raspberry Pi Pico Work with different ML frameworks such as TensorFlow Lite for Microcontrollers and Edge Impulse Explore cutting-edge technologies such as microTVM and Arm Ethos-U55 microNPU Book DescriptionThis book explores TinyML, a fast-growing field at the unique intersection of machine learning and embedded systems to make AI ubiquitous with extremely low-powered devices such as microcontrollers. The TinyML Cookbook starts with a practical introduction to this multidisciplinary field to get you up to speed with some of the fundamentals for deploying intelligent applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico. As you progress, you’ll tackle various problems that you may encounter while prototyping microcontrollers, such as controlling the LED state with GPIO and a push-button, supplying power to microcontrollers with batteries, and more. Next, you’ll cover recipes relating to temperature, humidity, and the three “V” sensors (Voice, Vision, and Vibration) to gain the necessary skills to implement end-to-end smart applications in different scenarios. Later, you’ll learn best practices for building tiny models for memory-constrained microcontrollers. Finally, you’ll explore two of the most recent technologies, microTVM and microNPU that will help you step up your TinyML game. By the end of this book, you’ll be well-versed with best practices and machine learning frameworks to develop ML apps easily on microcontrollers and have a clear understanding of the key aspects to consider during the development phase.What you will learn Understand the relevant microcontroller programming fundamentals Work with real-world sensors such as the microphone, camera, and accelerometer Run on-device machine learning with TensorFlow Lite for Microcontrollers Implement an app that responds to human voice with Edge Impulse Leverage transfer learning to classify indoor rooms with Arduino Nano 33 BLE Sense Create a gesture-recognition app with Raspberry Pi Pico Design a CIFAR-10 model for memory-constrained microcontrollers Run an image classifier on a virtual Arm Ethos-U55 microNPU with microTVM Who this book is for This book is for machine learning developers/engineers interested in developing machine learning applications on microcontrollers through practical examples quickly. Basic familiarity with C/C++, the Python programming language, and the command-line interface (CLI) is required. However, no prior knowledge of microcontrollers is necessary.

Implementing Identity Based Zero Trust Security For Iot Based Workloads

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Author : Vaibhav Malik
language : en
Publisher: Kindle
Release Date : 2024-09-01

Implementing Identity Based Zero Trust Security For Iot Based Workloads written by Vaibhav Malik and has been published by Kindle this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-01 with Computers categories.

Implementing Identity-Based Zero-Trust Security for IoT-Based Workloads Secure the Future of IoT with Identity-Based Zero-Trust The Internet of Things (IoT) is revolutionizing industries, but its rapid growth brings unprecedented security challenges. This book equips you with the knowledge and strategies to safeguard your IoT ecosystem. Discover how to: Understand the unique vulnerabilities of IoT devices and workloads Implement a robust identity-based zero-trust security framework Leverage advanced technologies like AI, blockchain, and edge computing Manage the entire IoT device lifecycle securely Navigate legal and ethical considerations Achieve a strong return on investment (ROI) From foundational concepts to advanced implementation strategies, this comprehensive guide empowers you to build a secure and resilient IoT infrastructure. Protect your organization and embrace the future of connected devices with confidence. Key topics covered: IoT fundamentals and security challenges Zero-trust principles and architecture Identity management and access control in IoT Advanced security technologies and their applications IoT device lifecycle management Real-world use cases and best practices Legal, ethical, and economic implications Whether you're a security professional, IoT developer, or business leader, this book is your essential resource for mastering identity-based zero-trust security in the IoT landscape.

Internet Of Things For Smart Buildings

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Author : Harry G. Smeenk
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-03-31

Internet Of Things For Smart Buildings written by Harry G. Smeenk and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-31 with Computers categories.

A comprehensive guide to leverage the IoT in your building to optimize energy consumption, automate building controls, improve operational efficiencies, and enhance experiences to transform your building into a smart building Key Features Discover how IoT solutions transform mechanical and electrical control systems into smart systems Unlock new revenue potential, operational efficiencies, and improved occupant’s quality of life Explore industry thought leadership through author-led real-world applications and use cases Book DescriptionImagine working in a building with smart features and tenant applications that allow you to monitor, manage, and control every aspect of your user experience. Internet of Things for Smart Buildings is a comprehensive guide that will help you achieve that with smart building architecture, ecosystems, technologies, and key components that create a smart building. In this book, you’ll start by examining all the building systems and applications that can be automated with IoT devices. You’ll learn about different apps to improve efficiency, reduce consumption, and improve occupant satisfaction. You’ll explore IoT sensors, devices, computing platforms, analytics software, user interfaces, and connectivity options, along with common challenges you might encounter while developing the architecture. You’ll also discover how to piece different components together to develop smart buildings with the help of use cases and examples and get to grips with the various IoT stacks. After finding out where to start developing the requirements for your project, you’ll uncover a recommended methodology to understand your current building systems and a process for determining what needs to be modified, along with new technology requirements. By the end of the book, you’ll be able to design and build your own smart building initiative, turning your city into a smart city with one building at a time.What you will learn Discover what a smart building is and how IoT enables smart solutions Discover how IoT can make mechanical and electrical systems smart Learn how IoT improves workflow tasks, operations, and maintenance Explore the components and technology that make up a smart building Understand how to orchestrate components to deploy smart applications Build your smart building stack to design and develop smart solutions Who this book is for This book is for architects, mechanical, electrical, and HVAC engineers, system integrators, facility, and operations personnel, and others looking to implement IoT solutions to make their buildings smart. Basic understanding of various mechanical and electrical building systems including HVAC, security, fire alarms, communications, and data networks as well as the operations and maintenance requirements is a prerequisite.

Essential Math For Ai

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Author : Hala Nelson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-01-04

Essential Math For Ai written by Hala Nelson and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-04 with Computers categories.

Many sectors and industries are eager to integrate AI and data-driven technologies into their systems and operations. But to build truly successful AI systems, you need a firm grasp of the underlying mathematics. This comprehensive guide bridges the current gap in presentation between the unlimited potential and applications of AI and its relevant mathematical foundations. Rather than discussing dense academic theory, author Hala Nelson surveys the mathematics necessary to thrive in the AI field, focusing on real-world applications and state-of-the-art models. You'll explore topics such as regression, neural networks, convolution, optimization, probability, Markov processes, differential equations, and more within an exclusive AI context. Engineers, data scientists, mathematicians, and scientists will gain a solid foundation for success in the AI and math fields.

Azure Iot Development Cookbook

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Author : Yatish Patil
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-08-11

Azure Iot Development Cookbook written by Yatish Patil and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-11 with Computers categories.

Over 50 recipes to drive IoT innovation with Microsoft Azure Key Features Build secure and scalable IoT solutions with Azure IoT platform Learn techniques to build end to end IoT solutions leveraging the Azure IoT platform Filled with practical recipes to help you increase connectivity and automation across IoT devices Book DescriptionMicrosoft’s end-to-end IoT platform is the most complete IoT offering, empowering enterprises to build and realize value from IoT solutions efficiently. It is important to develop robust and reliable solutions for your organization to leverage IoT services. This book focuses on how to start building custom solutions using the IoT hub or the preconfigured solution of Azure IoT suite. As a developer, you will be taught how to connect multiple devices to the Azure IoT hub, develop, manage the IoT hub service and integrate the hub with cloud. We will be covering REST APIs along with HTTP, MQTT and AMQP protocols. It also helps you learn Pre-Configured IoT Suite solution. Moving ahead we will be covering topics like:-Process device-to-cloud messages and cloud-to-device messages using .Net-Direct methods and device management-Query Language, Azure IoT SDK for .Net-Creating and managing, Securing IoT hub, IoT Suite and many more. We will be using windows 10 IoT core, Visual Studio, universal Windows platform. At the end, we will take you through IoT analytics and provide a demo of connecting real device with Azure IoT.What you will learn Build IoT Solutions using Azure IoT & Services Learn device configuration and communication protocols Understand IoT Suite and Pre-configured solutions Manage Secure Device communications Understand Device management, alerts Introduction with IoT Analytics, reference IoT Architectures Reference Architectures from Industry Pre-Configured IoT Suite solutions Who this book is for If you are an application developer and want to build robust and secure IoT solution for your organization using Azure IoT, then this book is for you.

Ensemble Machine Learning Cookbook

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Author : Dipayan Sarkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-01-31

Ensemble Machine Learning Cookbook written by Dipayan Sarkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-31 with Computers categories.

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key FeaturesApply popular machine learning algorithms using a recipe-based approachImplement boosting, bagging, and stacking ensemble methods to improve machine learning modelsDiscover real-world ensemble applications and encounter complex challenges in Kaggle competitionsBook Description Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine learning algorithms to deliver superior intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking. The Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You'll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. It will also ensure that you don't miss out on key topics, such as like resampling methods. As you progress, you’ll get a better understanding of bagging, boosting, stacking, and working with the Random Forest algorithm using real-world examples. The book will highlight how these ensemble methods use multiple models to improve machine learning results, as compared to a single model. In the concluding chapters, you'll delve into advanced ensemble models using neural networks, natural language processing, and more. You’ll also be able to implement models such as fraud detection, text categorization, and sentiment analysis. By the end of this book, you'll be able to harness ensemble techniques and the working mechanisms of machine learning algorithms to build intelligent models using individual recipes. What you will learnUnderstand how to use machine learning algorithms for regression and classification problemsImplement ensemble techniques such as averaging, weighted averaging, and max-votingGet to grips with advanced ensemble methods, such as bootstrapping, bagging, and stackingUse Random Forest for tasks such as classification and regressionImplement an ensemble of homogeneous and heterogeneous machine learning algorithmsLearn and implement various boosting techniques, such as AdaBoost, Gradient Boosting Machine, and XGBoostWho this book is for This book is designed for data scientists, machine learning developers, and deep learning enthusiasts who want to delve into machine learning algorithms to build powerful ensemble models. Working knowledge of Python programming and basic statistics is a must to help you grasp the concepts in the book.

Social Engineering Cookbook

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Author : Manish Sharma
language : en
Publisher: BPB Publications
Release Date : 2025-03-22

Social Engineering Cookbook written by Manish Sharma and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Computers categories.

DESCRIPTION Social engineering can be the most dangerous and effective type of hacking because the human component is notoriously the weakest link in the security chain. This Social Engineering Cookbook encompasses a blend of theoretical and practical knowledge that focuses on psychological manipulation of people to gain confidential information and to protect yourself from such attacks. In this book, you will learn how to anticipate the moves of social engineers, what tools they use, and how they use the art of deception for personal gain. You will master information gathering with search engines and specialized tools, learn to analyze email trails, and understand the execution of various social engineering attacks. Advanced techniques like micro-expression reading and NLP are explored, alongside real-world case studies to illustrate potential risks. Finally, it examines emerging trends like AI manipulation and ethical applications of these techniques. By mastering the recipes and techniques outlined in this Social Engineering Cookbook, readers will be empowered to recognize, defend against, and ethically utilize social engineering tactics, transforming them into vigilant defenders in their personal and professional lives. By the end of this book, you will learn how to hack the human mind and protect yourself from manipulation. WHAT YOU WILL LEARN ● Define social engineering, analyze psychology, identify vulnerabilities, conduct OSINT, and execute advanced techniques. ● Master OSINT tools, email analysis, digital footprinting, and understand attack execution. ● Explore pretexting, NLP, mitigate online threats, and grasp legal implications. ● Implement security measures, analyze case studies, understand AI's impact, and ethical use. ● Utilize Maltego, HTTrack, analyze email headers, and apply emotional manipulation tactics. ● Conduct website footprinting, learn deepfake detection, and implement incident response. ● Automate data collection, master credential harvesting, and understand regulatory compliance. ● Explore micro-expressions, use SET, analyze social media OSINT, and counter biohacking. ● Implement multi-factor authentication, conduct penetration tests, and understand cyber warfare. WHO THIS BOOK IS FOR This Social Engineering Cookbook is for anyone seeking to understand social engineering, from beginners to experienced professionals like security personnel, ethical hackers, and penetration testers, as well as individuals aiming to enhance their security awareness. TABLE OF CONTENTS 1. Social Engineering Explained 2. The Psychology of Social Engineering 3. Advanced Information Gathering Techniques via Search Engines 4. Expanding OSINT Capabilities with Advanced Tools 5. Uncovering Email Trails and People Digital Footprinting 6. The Execution and Delivery of Social Engineering 7. Advanced and Cutting-Edge Techniques of Social Engineering 8. Case Studies and Lessons Learned 9. Digital and Online Aspects of Social Engineering 10. Organizational and Business Implications of Social Engineering 11. Legal and Regulatory Landscape of Social Engineering 12. Future and Emerging Trends of Social Engineering 13. Positive and Ethical Applications of Social Engineering

Cookbook For Mobile Robotic Platform Control

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Author : Gehlot Dr. Anita
language : en
Publisher: BPB Publications
Release Date : 2019-09-20

Cookbook For Mobile Robotic Platform Control written by Gehlot Dr. Anita and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-20 with Technology & Engineering categories.

Controlling Robots using Blynk, Virtuino, Cayenne, Thingspeak, FirebaseKey features The book provides gradual pace of basics to advanced interfacing and programming with Ti launch pad for IoT applications. It provides a unique style for IoT applications with program codes. It discusses various applications where the Internet of Things plays an important role, and considers a number of different independent prototypes for various mobile robotics platform control methods. The control of robot with different mobile apps like Blynk, Virtuino, Cayenne, Thingspeak, Firebase are included for vast coverage of scope. Step by step programming, to get started with Ti launch Pad Case studies to provide solution to real time problems The case studies and programming in book are tested on real hardware during handling the industrial and student projects. Description This book provides a platform to the readers, where they can understand the applications of 'Internet of Things' to control the robotic platform. It covers the basic knowledge of the mobile apps with their designing steps and programming. The objective of the book is to discuss various applications of robotic platform where 'Internet of things' can play an important role. This book comprises of total seventeen chapters for designing different independent prototypes for the various control methods. It covers introduction to IoT and basic components to design a robotic platform. The system demonstration is done with the help of Ti Launch Pad and other interfacing devices. The control of robot with different mobile apps like Blynk, Virtuino, Cayenne, Thingspeak, Firebase are included for vast coverage of scope.It would be beneficial for the people who want to get started with hardware based robotic prototypes with IoT. This book is entirely based on the practical experience of the authors while undergoing projects with the students and industries.What will you learn Interfacing of Ti launch Pad and NodeMCU with Input/Output Devices Serial Communication between Ti Launch Pad and NodeMCU Robot Control Using the Blynk, Virtuino App Environment Monitoring Robot with BLYNK App Sensory Data Acquisition Robot Using a ThingSpeak Server Robot Control with Cayenne App, Local Server and NodeMCU, Firebase Server Who this book is for Students pursuing BE/BSc/ME/MSc/BTech/MTech in Computer Science, Electronics, Electrical. Table of contents1. Introduction2. Components of a Robotic Platform3. Interfacing of Ti launch Pad with Input/Output Devices4. Interfacing of NodeMCU with Input/Output Devices5. Serial Communication between Ti Launch Pad and NodeMCU6. Robot Control Using the Blynk App7. Robot Control Using the Virtuino App8. Environment Monitoring Robot with BLYNK App9. Sensory Data Acquisition Robot Using a ThingSpeak Server 10. Robot Control with Cayenne App11. Robot Control with Local Server and NodeMCU12. Robot Control with a Firebase Server13. XBee and Wi-Fi Modem Based Robot Control14. Fire Fighting Robot15. The Internet of Things Robotic Arm16. The Smart Orchard with a Robotic Arm Sprinkler17. Smart Farming with the IoT About the authorDr. Anita Gehlot is currently associated with Lovely Professional University as Associate Professor with more than ten years of experience in academics. She has twenty patents in her account. She has published more than fifty research papers in referred journals and conference. She has organized a number of workshops, summer internships and expert lectures for students. She has been invited as session chair keynote speaker to international/national conferences and faculty development program. Dr. Rajesh Singh is currently associated with Lovely Professional University as Professor with more than fifteen years of experience in academics. He has been awarded as gold medalist in M.Tech and honors in his B.E. His area of expertise includes embedded systems, robotics, wireless sensor networks and Internet of Things. He has organized and conducted a number of workshops, summer internships and expert lectures for students as well as faculty. He has twenty-three patents in his account. He has published around hundred research papers in referred journals/conferences. His LinkedIn Profile: linkedin.com/in/dr-rajesh-singh-6380845aHis Website: orcid.org/0000-0002-3164-8905 Dr. Lovi Raj Gupta is the Executive Dean, Faculty of Technology & Sciences, Lovely Professional University. He is a leading light in the field of Technical and Higher education in the country. His research-focused approach and an insightful innovative intervention of technology in education have won him much accolades and laurels.In 2001, he was appointed as Assistant Controller (Technology), Ministry of IT, Govt. of India by the Honorable President of India in the Office of the Controller of Certifying Authorities (CCA). In 2013, he was accorded the role in the National Advisory Board for What Can I Give Mission - Kalam Foundation of Dr. APJ Abdul Kalam. In 2011, he received the MIT Technology Review Grand Challenge Award followed by the coveted Infosys InfyMakers Award in the year 2016. He has ten patents to his account. His LinkedIn Profile: linkedin.com/in/loviraj Bhupendra Singh is Managing Director of Schematics Microelectronics and provides Product design and R&D support to industries and Universities. He has completed BCA, PGDCA, M.Sc. (CS), M.Tech and has more than eleven years of experience in the field of Computer Networking and Embedded systems. He has published twelve books in the area of Embedded Systems and Internet of Things. His Blog: schematicslab.blogspot.in/ His LinkedIn Profile: linkedin.com/in/bhupisir