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Building Scalable Edge Ai Solutions For The Internet Of Things


Building Scalable Edge Ai Solutions For The Internet Of Things
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Building Scalable Edge Ai Solutions For The Internet Of Things


Building Scalable Edge Ai Solutions For The Internet Of Things
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Building Scalable Edge Ai Solutions For The Internet Of Things written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


Building Scalable Edge AI Solutions for the Internet of Things" explores the convergence of IoT, edge computing, and AI, providing a practical guide to developing and deploying intelligent edge solutions. The book begins by establishing foundational concepts, explaining the limitations of cloud-centric IoT architectures and introducing the benefits of edge computing and Edge AI, such as reduced latency, bandwidth efficiency, and enhanced privacy. It then delves into the building blocks of Edge AI solutions, covering data acquisition and preprocessing techniques optimized for resource-constrained devices, model selection and compression strategies, and an overview of relevant frameworks and hardware platforms like MCUs, MPUs, GPUs, and FPGAs. The book further provides a practical development approach, detailing the steps from problem definition and data preparation to model training, evaluation, and deployment on edge devices. It emphasizes the importance of robust deployment strategies, including OTA updates, device management tools, and crucial security considerations. Finally, the book examines advanced topics like real-time Edge AI applications in industrial automation, robotics, and autonomous systems, along with scalability and orchestration strategies for large deployments. It concludes by exploring future trends, including emerging hardware and software, the role of 5G, and the ethical implications of Edge AI, advocating for responsible AI development.



Iot And Edge Computing For Architects


Iot And Edge Computing For Architects
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Author : Perry Lea
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-03-06

Iot And Edge Computing For Architects written by Perry Lea 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 2020-03-06 with Computers categories.


Create scalable IoT and edge computing solutions with practical architectural strategies, robust communication protocols, and integrated analytics support for informed decision-making Key Features Build robust IoT and edge computing systems using real-world architectural strategies Explore a comprehensive range of technologies—from sensors and RF to cloud infrastructure and analytics Gain the insights needed to make informed technical decisions across communication protocols, security, and system design Book DescriptionIndustries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is needed if you want to traverse the spectrum of technologies needed to build a successful IoT system, whether that's a single device or millions of IoT devices. IoT and Edge Computing for Architects, 2E encompasses the entire spectrum of IoT solutions, from IoT sensors to the cloud. It examines modern sensor systems, focusing on their power and functionality. It also looks at communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, the book explores IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. It also explains edge computing, routing and gateways, and their role in fog computing, as well as the messaging protocols of MQTT 5.0 and CoAP. With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. The book wraps up the analytics portion with the application of statistical analysis, complex event processing, and deep learning models. The book then concludes by providing a holistic view of IoT security, cryptography, and shell security in addition to software-defined perimeters and blockchains.What you will learn Understand the role and scope of architecting a successful IoT deployment Scan the landscape of IoT technologies, from sensors to the cloud and more See the trade-offs in choices of protocols and communications in IoT deployments Become familiar with the terminology needed to work in the IoT space Broaden your skills in the multiple engineering domains necessary for the IoT architect Implement best practices to ensure reliability, scalability, and security in your IoT infrastructure Who this book is for This book is for architects, system designers, technologists, and technology managers who want to understand the IoT ecosphere, technologies, and trade-offs, and develop a 50,000-foot view of IoT architecture. An understanding of the architectural side of IoT is necessary.



Artificial Intelligence For Iot Cookbook


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.



The Internet Of Things


The Internet Of Things
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Author : John Davies
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-08

The Internet Of Things written by John Davies and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-08 with Technology & Engineering categories.


Provides comprehensive coverage of the current state of IoT, focusing on data processing infrastructure and techniques Written by experts in the field, this book addresses the IoT technology stack, from connectivity through data platforms to end-user case studies, and considers the tradeoffs between business needs and data security and privacy throughout. There is a particular emphasis on data processing technologies that enable the extraction of actionable insights from data to inform improved decision making. These include artificial intelligence techniques such as stream processing, deep learning and knowledge graphs, as well as data interoperability and the key aspects of privacy, security and trust. Additional aspects covered include: creating and supporting IoT ecosystems; edge computing; data mining of sensor datasets; and crowd-sourcing, amongst others. The book also presents several sections featuring use cases across a range of application areas such as smart energy, transportation, smart factories, and more. The book concludes with a chapter on key considerations when deploying IoT technologies in the enterprise, followed by a brief review of future research directions and challenges. The Internet of Things: From Data to Insight Provides a comprehensive overview of the Internet of Things technology stack with focus on data driven aspects from data modelling and processing to presentation for decision making Explains how IoT technology is applied in practice and the benefits being delivered. Acquaints readers that are new to the area with concepts, components, technologies, and verticals related to and enabled by IoT Gives IoT specialists a deeper insight into data and decision-making aspects as well as novel technologies and application areas Analyzes and presents important emerging technologies for the IoT arena Shows how different objects and devices can be connected to decision making processes at various levels of abstraction The Internet of Things: From Data to Insight will appeal to a wide audience, including IT and network specialists seeking a broad and complete understanding of IoT, CIOs and CIO teams, researchers in IoT and related fields, final year undergraduates, graduate students, post-graduates, and IT and science media professionals.



Artificial Intelligence To Solve Pervasive Internet Of Things Issues


Artificial Intelligence To Solve Pervasive Internet Of Things Issues
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Author : Gurjit Kaur
language : en
Publisher: Academic Press
Release Date : 2020-11-23

Artificial Intelligence To Solve Pervasive Internet Of Things Issues written by Gurjit Kaur and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Science categories.


Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others.



Next Generation Internet Of Things


Next Generation Internet Of Things
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Author : Vermesan, Ovidiu
language : en
Publisher: River Publishers
Release Date : 2019-01-15

Next Generation Internet Of Things written by Vermesan, Ovidiu and has been published by River Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-15 with Technology & Engineering categories.


This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment. The text builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment. The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual and augmented reality (VR/AR), and AI transformation. Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats. The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications. The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications. Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems. New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure. The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas.



Evolve From Infrastructure To Innovation With Sap On Aws


Evolve From Infrastructure To Innovation With Sap On Aws
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Author : Bidwan Baruah
language : en
Publisher: Springer Nature
Release Date : 2024-11-27

Evolve From Infrastructure To Innovation With Sap On Aws written by Bidwan Baruah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Computers categories.


The world of SAP is undergoing a major transformation, with many customers either planning or actively modernizing their SAP landscapes as part of the S/4HANA digital transformation. Given the extensive SAP transformation efforts adopted by nearly all SAP customers in recent years and the profound impact these digital changes have had on their business models and IT organizations, the authors decided to write this book. As customers embark on their SAP on AWS journey, they face three main challenges: deciding on the overall strategy, selecting the right business use cases and implementing them effectively. This book aims to address these challenges by guiding readers through the process of identifying and executing the appropriate use cases. It will highlight how customers can harness AWS services beyond merely hosting their SAP systems on AWS, demonstrating the potential of these services to drive innovation. This book covers the entire journey, from defining strategy and identifying business use cases to their implementation, providing practical tips, strategies, and insights. It serves as an essential guide for customers planning to migrate or those who have already migrated their SAP workloads to AWS, helping them explore beyond just the infrastructure aspects of their journey. You Will : Discover how to go beyond just hosting SAP systems on AWS, using the full range of AWS services to innovate and extend your SAP applications. Learn how to identify the right business use cases and implement them effectively, with practical examples and real-world scenarios. Develop the mindset and skills needed to architect modern, cloud-native, event-driven architectures, balancing trade-offs between simplicity, efficiency, and cost. This book is for: Business leaders, IT professionals, and SAP specialists who are looking to modernize their SAP landscapes by leveraging AWS services



The Future Of Agriculture Iot Ai And Blockchain Technology For Sustainable Farming


The Future Of Agriculture Iot Ai And Blockchain Technology For Sustainable Farming
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Author : Kavita Pandey
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-10-23

The Future Of Agriculture Iot Ai And Blockchain Technology For Sustainable Farming written by Kavita Pandey and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Computers categories.


The Future of Agriculture: IoT, AI and Blockchain Technology for Sustainable Farming explores how cutting-edge technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and Blockchain are transforming farming for a sustainable future. Addressing challenges such as climate change, resource scarcity, and food supply chain inefficiencies, the book highlights how these technologies can improve decision-making, enhance crop yields, and increase transparency in agriculture. With a blend of theory and real-world applications, it covers everything from AI-driven pesticide prediction and disease identification to using Blockchain for efficient food supply chain management. This comprehensive guide is essential for researchers, professionals, and anyone interested in the intersection of technology and sustainable farming. Key Features: - Introduction to Digital Twin technology for sustainable farming - Practical applications of AI and IoT in agriculture - Blockchain's role in food supply chain management - Frameworks for precision agriculture and access to government schemes - Insights on integrating AI, IoT, and Blockchain into solid waste management systems.



New Business Frontiers In The Metaverse


New Business Frontiers In The Metaverse
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Author : Inder, Shivani
language : en
Publisher: IGI Global
Release Date : 2024-05-13

New Business Frontiers In The Metaverse written by Inder, Shivani and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-13 with Business & Economics categories.


The metaverse has emerged as an influential force, beckoning entrepreneurs to navigate uncharted territories. Platform and gaming companies strategically position themselves to take advantage of the metaverse's potential, indicating that this shift transcends mere trendiness. The metaverse isn't confined to the realms of conceptuality or viral discussions anymore—it signifies a monumental revolution poised to reshape society and humanity at large. As entrepreneurs fervently adopt artificial intelligence, an unprecedented wave of creativity ensues, redefining the very fabric of business. Yet, with this surge comes a cascade of myths and challenges that shape the metaverse's entrepreneurial landscape, spanning technological intricacies, cultural dynamics, and ethical considerations. The book, titled New Business Frontiers in the Metaverse, aims to demystify the metaverse's complexities. Moving beyond the speculative buzz surrounding the metaverse, the book unfolds as a dynamic exploration of the relationship between entrepreneurship and this digital frontier. By addressing the myths and challenges head-on, it seeks to provide a comprehensive understanding of the dimensions that entrepreneurs will confront in the metaverse. Through an exploration of integrated technologies like NFTs, Web 4.0, augmented reality, virtual reality, and mixed reality, the book offers a unique perspective on how these innovations intertwine to shape the metaverse's entrepreneurial landscape.



Securing The Internet Of Things Iot Cybersecurity Of Connected Devices


Securing The Internet Of Things Iot Cybersecurity Of Connected Devices
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Author : Silviu Ciuta
language : en
Publisher: Silviu Ciuta
Release Date :

Securing The Internet Of Things Iot Cybersecurity Of Connected Devices written by Silviu Ciuta and has been published by Silviu Ciuta this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


The Internet of Things (IoT) refers to the network of interconnected physical devices, vehicles, appliances, and other objects embedded with sensors, software, and network connectivity. These devices can collect and exchange data, enabling them to interact with each other and with their environment. The significance of IoT lies in its ability to enhance efficiency, provide valuable insights through data analytics, and improve automation in various sectors, ranging from healthcare and agriculture to smart cities and industrial processes. The use of IoT devices has proliferated across diverse sectors, including healthcare, agriculture, transportation, manufacturing, and smart homes. These devices offer benefits such as real-time monitoring, predictive maintenance, and improved decision-making. However, the widespread deployment of IoT devices also raises security concerns due to the interconnected nature of these systems. The interconnected nature of IoT introduces security challenges as it expands the attack surface. Vulnerabilities in one device can potentially compromise the entire network, leading to data breaches, unauthorized access, and disruptions to critical services. Common vulnerabilities in IoT devices include insecure firmware, weak authentication mechanisms, insufficient encryption, and susceptibility to physical tampering. These vulnerabilities can be exploited by attackers to gain unauthorized access, manipulate data, or launch attacks on other devices. Insecure firmware can be a major security risk, as it may contain vulnerabilities that can be exploited by attackers. Weak authentication mechanisms can lead to unauthorized access, while the lack of encryption can expose sensitive data to interception and manipulation. Real-world examples of IoT security breaches include incidents where attackers compromised smart home devices, industrial control systems, or healthcare devices to gain unauthorized access, manipulate data, or disrupt operations. These breaches highlight the need for robust security measures in IoT deployments. Securing IoT networks is challenging due to the diverse nature of devices, varying communication protocols, and the sheer volume of data generated. Additionally, many IoT devices have resource constraints, making it difficult to implement robust security measures. Firewalls, intrusion detection systems (IDS), and network segmentation play crucial roles in IoT security. Firewalls help filter and monitor traffic, IDS detects unusual behavior, and network segmentation limits the impact of a breach by isolating compromised devices from the rest of the network. Implementing strong encryption protocols, ensuring secure key management, and regularly updating device firmware are key best practices for safeguarding communication between IoT devices. Additionally, using secure communication protocols such as TLS/SSL enhances the integrity and confidentiality of data. Data generated by IoT devices often includes sensitive information about individuals, their habits, and their environments. Protecting this data is crucial to maintain user privacy and prevent unauthorized access.