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Internet Of Things And Data Analytics Handbook

Internet of Things and Data Analytics Handbook PDF
Author: Hwaiyu Geng
Publisher: John Wiley & Sons
Release: 2017-01-10
Size: 44.12 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 800
View: 5735

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This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models. The text also addresses big data analytics, machine learning, cloud computing, and consideration of sustainability that are essential to be both socially responsible and successful. Design and implementation processes are illustrated with best practices and case studies in action. In addition, the book: Examines cloud computing, data analytics, and sustainability and how they relate to IoT overs the scope of consumer, government, and enterprise applications Includes best practices, business model, and real-world case studies Hwaiyu Geng, P.E., is a consultant with Amica Research (www.AmicaResearch.org, Palo Alto, California), promoting green planning, design, and construction projects. He has had over 40 years of manufacturing and management experience, working with Westinghouse, Applied Materials, Hewlett Packard, and Intel on multi-million high-tech projects. He has written and presented numerous technical papers at international conferences. Mr. Geng, a patent holder, is also the editor/author of Data Center Handbook (Wiley, 2015).

Handbook Of Research On Big Data And The Iot

Handbook of Research on Big Data and the IoT PDF
Author: Kaur, Gurjit
Publisher: IGI Global
Release: 2019-03-29
Size: 66.40 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 568
View: 4554

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The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT can thus enable new monitoring services and powerful processing of sensory data streams. The Handbook of Research on Big Data and the IoT is a pivotal reference source that provides vital research on emerging trends and recent innovative applications of big data and IoT, challenges facing organizations and the implications of these technologies on society, and best practices for their implementation. While highlighting topics such as bootstrapping, data fusion, and graph mining, this publication is ideally designed for IT specialists, managers, policymakers, analysts, software engineers, academicians, and researchers.

Handbook Of Research On Cloud Computing And Big Data Applications In Iot

Handbook of Research on Cloud Computing and Big Data Applications in IoT PDF
Author: Gupta, B. B.
Publisher: IGI Global
Release: 2019-04-12
Size: 69.96 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 609
View: 2444

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Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges. The Handbook of Research on Cloud Computing and Big Data Applications in IoT is a pivotal reference source that provides relevant theoretical frameworks and the latest empirical research findings on principles, challenges, and applications of cloud computing, big data, and IoT. While highlighting topics such as fog computing, language interaction, and scheduling algorithms, this publication is ideally designed for software developers, computer engineers, scientists, professionals, academicians, researchers, and students.

Handbook Of Research On Big Data Storage And Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques PDF
Author: Segall, Richard S.
Publisher: IGI Global
Release: 2018-01-05
Size: 15.53 MB
Format: PDF
Category : Computers
Languages : en
Pages : 917
View: 1167

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The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

Handbook Of Research On Cloud Infrastructures For Big Data Analytics

Handbook of Research on Cloud Infrastructures for Big Data Analytics PDF
Author: Raj, Pethuru
Publisher: IGI Global
Release: 2014-03-31
Size: 14.58 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 570
View: 7285

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Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Enterprise Internet Of Things Handbook

Enterprise Internet of Things Handbook PDF
Author: Arvind Ravulavaru
Publisher: Packt Publishing Ltd
Release: 2018-04-30
Size: 39.19 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 332
View: 4464

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Get familiar with the building blocks of IoT solutions using off–the-shelf IoT platforms. Key Features Work with various trending IoT platforms such as AWS IoT, Azure IoT, Google IoT, IBM Watson IoT, and Kaa IoT Gain hands-on knowledge working with Cloud-based IoT platforms, IoT Analytics, and so on. A practical guide that will help you build IoT strategies for your organization Book Description There is a lot of work that is being done in the IoT domain and according to Forbes the global IoT market will grow from $157B in 2016 to $457B by 2020. This is an amazing market both in terms technology advancement as well as money. In this book, we will be covering five popular IoT platforms, namely, AWS IoT, Microsoft Azure IoT, Google IoT Core, IBM Watson IoT, and Kaa IoT middleware. You are going to build solutions that will use a Raspberry Pi 3, a DHT11 Temperature and humidity sensor, and a dashboard to visualize the sensor data in real-time. Furthermore, you will also explore various components of each of the platforms that are needed to achieve the desired solution. Besides building solutions, you will look at how Machine Learning and IoT go hand in hand and later design a simple predictive web service based on this concept. By the end of this book, you will be in a position to implement an IoT strategy best-fit for your organization What you will learn Connect a Temperature and Humidity sensor and see how these two can be managed from various platforms Explore the core components of AWS IoT such as AWS Kinesis and AWS IoTRules Engine Build a simple analysis dashboard using Azure IoT and Power BI Understand the fundamentals of Google IoT and use Google core APIs to build your own dashboard Get started and work with the IBM Watson IoT platform Integrate Cassandra and Zeppelin with Kaa IoT dashboard Review some Machine Learning and AI and get to know more about their implementation in the IoT domain. Who this book is for This book is targeted at IoT architects and engineers, or any stakeholders working with IoT solutions in an organization. This book will also help decision makers and professionals from small- and medium-sized enterprises build an IoT strategy for their venture.

Handbook Of Research On Cloud And Fog Computing Infrastructures For Data Science

Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science PDF
Author: Raj, Pethuru
Publisher: IGI Global
Release: 2018-05-18
Size: 51.37 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 440
View: 4465

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Fog computing is quickly increasing its applications and uses to the next level. As it continues to grow, different types of virtualization technologies can thrust this branch of computing further into mainstream use. The Handbook of Research on Cloud and Fog Computing Infrastructures for Data Science is a key reference volume on the latest research on the role of next-generation systems and devices that are capable of self-learning and how those devices will impact society. Featuring wide-ranging coverage across a variety of relevant views and themes such as cognitive analytics, data mining algorithms, and the internet of things, this publication is ideally designed for programmers, IT professionals, students, researchers, and engineers looking for innovative research on software-defined cloud infrastructures and domain-specific analytics.

Handbook Of Big Data And Iot Security

Handbook of Big Data and IoT Security PDF
Author: Ali Dehghantanha
Publisher: Springer
Release: 2019-03-22
Size: 13.82 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 384
View: 5790

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This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an IoT forensic framework is also presented in this book, and it explains how the IoT forensic framework can be used to guide investigation of a popular cloud storage service. A distributed file system forensic approach is also presented, which is used to guide the investigation of Ceph. Minecraft, a Massively Multiplayer Online Game, and the Hadoop distributed file system environment are also forensically studied and their findings reported in this book. A forensic IoT source camera identification algorithm is introduced, which uses the camera's sensor pattern noise from the captured image. In addition to the IoT access control and forensic frameworks, this handbook covers a cyber defense triage process for nine advanced persistent threat (APT) groups targeting IoT infrastructure, namely: APT1, Molerats, Silent Chollima, Shell Crew, NetTraveler, ProjectSauron, CopyKittens, Volatile Cedar and Transparent Tribe. The characteristics of remote-controlled real-world Trojans using the Cyber Kill Chain are also examined. It introduces a method to leverage different crashes discovered from two fuzzing approaches, which can be used to enhance the effectiveness of fuzzers. Cloud computing is also often associated with IoT and big data (e.g., cloud-enabled IoT systems), and hence a survey of the cloud security literature and a survey of botnet detection approaches are presented in the book. Finally, game security solutions are studied and explained how one may circumvent such solutions. This handbook targets the security, privacy and forensics research community, and big data research community, including policy makers and government agencies, public and private organizations policy makers. Undergraduate and postgraduate students enrolled in cyber security and forensic programs will also find this handbook useful as a reference.

Handbook Of Big Data Privacy

Handbook of Big Data Privacy PDF
Author: Kim-Kwang Raymond Choo
Publisher: Springer Nature
Release: 2020-03-18
Size: 28.19 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 397
View: 2104

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This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by international world leaders from academia and industry working in this field. The first part of this book offers a review of security challenges in critical infrastructure and offers methods that utilize acritical intelligence (AI) techniques to overcome those issues. It then focuses on big data security and privacy issues in relation to developments in the Industry 4.0. Internet of Things (IoT) devices are becoming a major source of security and privacy concern in big data platforms. Multiple solutions that leverage machine learning for addressing security and privacy issues in IoT environments are also discussed this handbook. The second part of this handbook is focused on privacy and security issues in different layers of big data systems. It discusses about methods for evaluating security and privacy of big data systems on network, application and physical layers. This handbook elaborates on existing methods to use data analytic and AI techniques at different layers of big data platforms to identify privacy and security attacks. The final part of this handbook is focused on analyzing cyber threats applicable to the big data environments. It offers an in-depth review of attacks applicable to big data platforms in smart grids, smart farming, FinTech, and health sectors. Multiple solutions are presented to detect, prevent and analyze cyber-attacks and assess the impact of malicious payloads to those environments. This handbook provides information for security and privacy experts in most areas of big data including; FinTech, Industry 4.0, Internet of Things, Smart Grids, Smart Farming and more. Experts working in big data, privacy, security, forensics, malware analysis, machine learning and data analysts will find this handbook useful as a reference. Researchers and advanced-level computer science students focused on computer systems, Internet of Things, Smart Grid, Smart Farming, Industry 4.0 and network analysts will also find this handbook useful as a reference.

Semiconductor Manufacturing Handbook Second Edition

Semiconductor Manufacturing Handbook  Second Edition PDF
Author: Hwaiyu Geng
Publisher: McGraw Hill Professional
Release: 2017-10-06
Size: 35.97 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 704
View: 3238

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Thoroughly Revised, State-of-the-Art Semiconductor Design, Manufacturing, and Operations Information Written by 70 international experts and reviewed by a seasoned technical advisory board, this fully updated resource clearly explains the cutting-edge processes used in the design and fabrication of IC chips, MEMS, sensors, and other electronic devices. Semiconductor Manufacturing Handbook, Second Edition, covers the emerging technologies that enable the Internet of Things, the Industrial Internet of Things, data analytics, artificial intelligence, augmented reality, and and smart manufacturing. You will get complete details on semiconductor fundamentals, front- and back-end processes, nanotechnology, photovoltaics, gases and chemicals, fab yield, and operations and facilities. •Nanotechnology and microsystems manufacturing •FinFET and nanoscale silicide formation •Physical design for high-performance, low-power 3D circuits •Epitaxi, anneals, RTP, and oxidation •Microlithography, etching, and ion implantations •Physical, chemical, electrochemical, and atomic layer vapor deposition •Chemical mechanical planarization •Atomic force metrology •Packaging, bonding, and interconnects •Flexible hybrid electronics •Flat-panel,flexible display electronics, and photovoltaics •Gas distribution systems •Ultrapure water and filtration •Process chemicals handling and abatement •Chemical and slurry handling systems •Yield management, CIM, and factory automation •Manufacturing execution systems •Advanced process control •Airborne molecular contamination •ESD controls in clean-room environments •Vacuum systems and RF plasma systems •IC manufacturing parts cleaning technology •Vibration and noise design •And much more