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Author: Sijesh Manohar
Publisher: SAP Press
ISBN: 9781493219230
Category : Computers
Languages : en
Pages : 425
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Book Description
Are you ready to build smart applications? See how to develop IoT apps and manage devices with SAP Leonardo and SAP Cloud Platform. Then, perform real-time data processing and analysis with SAP Edge Services. Walk through the configuration steps for edge scenarios, and learn how SAP partner solutions can be used in conjunction with SAP Leonardo. Explore relevant use cases, and envision what IoT can bring to your business! In this book, you'll learn about: a. Internet of Things Technologies Discover the solutions SAP provides for IoT. See how SAP Leonardo Internet of Things, SAP Edge Services, and SAP Cloud Platform Internet of Things support IoT applications during development, implementation, and analysis. b. Application Development Develop IoT applications, step by step. Learn how to model digital twins using the Thing Modeler, configure and onboard devices, define rules and actions, export IoT data to SAP Analytics Cloud, and more. c. Business Use Cases See IoT in action with practical use cases. Consider challenges and best practices for SAP Leonardo Internet of Things and SAP Edge Services so that your business is prepared to make the most of the IoT. Highlights Include: 1) SAP Leonardo Internet of Things 2) SAP Edge Services 3) SAP Cloud Platform Internet of Things 4) Application modeling 5) Digital twins 6) Device connectivity 7) Rules and actions 8) Analytics 9) Configuration 10) Interoperability 11) Use cases
Author: Sijesh Manohar
Publisher: SAP Press
ISBN: 9781493219230
Category : Computers
Languages : en
Pages : 425
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Book Description
Are you ready to build smart applications? See how to develop IoT apps and manage devices with SAP Leonardo and SAP Cloud Platform. Then, perform real-time data processing and analysis with SAP Edge Services. Walk through the configuration steps for edge scenarios, and learn how SAP partner solutions can be used in conjunction with SAP Leonardo. Explore relevant use cases, and envision what IoT can bring to your business! In this book, you'll learn about: a. Internet of Things Technologies Discover the solutions SAP provides for IoT. See how SAP Leonardo Internet of Things, SAP Edge Services, and SAP Cloud Platform Internet of Things support IoT applications during development, implementation, and analysis. b. Application Development Develop IoT applications, step by step. Learn how to model digital twins using the Thing Modeler, configure and onboard devices, define rules and actions, export IoT data to SAP Analytics Cloud, and more. c. Business Use Cases See IoT in action with practical use cases. Consider challenges and best practices for SAP Leonardo Internet of Things and SAP Edge Services so that your business is prepared to make the most of the IoT. Highlights Include: 1) SAP Leonardo Internet of Things 2) SAP Edge Services 3) SAP Cloud Platform Internet of Things 4) Application modeling 5) Digital twins 6) Device connectivity 7) Rules and actions 8) Analytics 9) Configuration 10) Interoperability 11) Use cases
Author: Eric Du
Publisher:
ISBN:
Category : Database management
Languages : en
Pages :
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Book Description
IoT is all the rage, and SAP HANA can help you get on the bandwagon. In this book, find out how to use Smart Data Streaming to accept real-time data from a variety of sources, apply business logic and analysis to the data, store the results, and generate real-time alerts.
Author: Nuno Correia
Publisher: Createspace Independent Publishing Platform
ISBN: 9781515229681
Category : Computers
Languages : en
Pages : 84
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Book Description
Change has always been and will be the key component of progress. All change is hard at first, messy in the middle but gorgeous in the last. In this book, we are going to show the journey and the steps we went through to achieve something that is changing the world. Internet of Things needs no introduction. It is the capability of connecting real life objects to enable them to achieve greater value and service by exchanging data and information. As per Forbes, this is now the most talked technology, beating big data (dated May 2015) and this is not a temporary hype, but the beginning of an era, which will stay for the next 5-10 years. Internet of Things is not a new radical concept that just came into existence now but in reality, it is a capability that is possible only now, due to the advances in database technology like SAP HANA, increased bandwidth, reduced size, and power consumption of devices. Few years back, we started testing the waters by looking into different ways in which we could connect different components, in order to create a basic use-case application of Internet of Things. It looked like a quadratic equation with many solutions but to reduce the complexity we sticked to KISS principle and kept it simple to bring together all the information required to get started, in no time.
Author: Ulrich Sendler
Publisher: Springer
ISBN: 3662549042
Category : Business & Economics
Languages : en
Pages : 278
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Book Description
Industrie 4.0 and the Internet of Things have been positioned on the international stage as important initiatives of a promising future: Who is dealing in data from the digital factory? Germany has its “Plattform Industrie 4.0”, China “Made in China 2025” and the USA the “Industrial Internet Consortium”. Who is leading the fourth industrial revolution? The digitalization of industry is changing the global economy and society. Technology is supplying the opportunities to do so. Humans must decide just how far artificial intelligence should go, and what machines should learn – to create new and improved work instead of fewer jobs. In addition to Ulrich Sendler and eight German industry and research experts, the CEO of Xinhuanet in Beijing has also contributed to this book.
Author: Valentina E. Balas
Publisher: Academic Press
ISBN: 0128173572
Category : Science
Languages : en
Pages : 379
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Book Description
Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT
Author: Olivier Hersent
Publisher: John Wiley & Sons
ISBN: 1119966701
Category : Technology & Engineering
Languages : en
Pages : 310
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Book Description
An all-in-one reference to the major Home Area Networking, Building Automation and AMI protocols, including 802.15.4 over radio or PLC, 6LowPAN/RPL, ZigBee 1.0 and Smart Energy 2.0, Zwave, LON, BACNet, KNX, ModBus, mBus, C.12 and DLMS/COSEM, and the new ETSI M2M system level standard. In-depth coverage of Smart-grid and EV charging use cases. This book describes the Home Area Networking, Building Automation and AMI protocols and their evolution towards open protocols based on IP such as 6LowPAN and ETSI M2M. The authors discuss the approach taken by service providers to interconnect the protocols and solve the challenge of massive scalability of machine-to-machine communication for mission-critical applications, based on the next generation machine-to-machine ETSI M2M architecture. The authors demonstrate, using the example of the smartgrid use case, how the next generation utilities, by interconnecting and activating our physical environment, will be able to deliver more energy (notably for electric vehicles) with less impact on our natural resources. Key Features: Offers a comprehensive overview of major existing M2M and AMI protocols Covers the system aspects of large scale M2M and smart grid applications Focuses on system level architecture, interworking, and nationwide use cases Explores recent emerging technologies: 6LowPAN, ZigBee SE 2.0 and ETSI M2M, and for existing technologies covers recent developments related to interworking Relates ZigBee to the issue of smartgrid, in the more general context of carrier grade M2M applications Illustrates the benefits of the smartgrid concept based on real examples, including business cases This book will be a valuable guide for project managers working on smartgrid, M2M, telecommunications and utility projects, system engineers and developers, networking companies, and home automation companies. It will also be of use to senior academic researchers, students, and policy makers and regulators.
Author: Vandana Mohindru
Publisher: John Wiley & Sons
ISBN: 1119768829
Category : Computers
Languages : en
Pages : 322
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Book Description
UNMANNED AERIAL VEHICLES FOR INTERNET OF THINGS This comprehensive book deeply discusses the theoretical and technical issues of unmanned aerial vehicles for deployment by industries and civil authorities in Internet of Things (IoT) systems. Unmanned aerial vehicles (UAVs) has become one of the rapidly growing areas of technology, with widespread applications covering various domains. UAVs play a very important role in delivering Internet of Things (IoT) services in small and low-power devices such as sensors, cameras, GPS receivers, etc. These devices are energy-constrained and are unable to communicate over long distances. The UAVs work dynamically for IoT applications in which they collect data and transmit it to other devices that are out of communication range. Furthermore, the benefits of the UAV include deployment at remote locations, the ability to carry flexible payloads, reprogrammability during tasks, and the ability to sense for anything from anywhere. Using IoT technologies, a UAV may be observed as a terminal device connected with the ubiquitous network, where many other UAVs are communicating, navigating, controlling, and surveilling in real time and beyond line-of-sight. The aim of the 15 chapters in this book help to realize the full potential of UAVs for the IoT by addressing its numerous concepts, issues and challenges, and develops conceptual and technological solutions for handling them. Applications include such fields as disaster management, structural inspection, goods delivery, transportation, localization, mapping, pollution and radiation monitoring, search and rescue, farming, etc. In addition, the book covers: Efficient energy management systems in UAV-based IoT networks IoE enabled UAVs Mind-controlled UAV using Brain-Computer Interface (BCI) The importance of AI in realizing autonomous and intelligent flying IoT Blockchain-based solutions for various security issues in UAV-enabled IoT The challenges and threats of UAVs such as hijacking, privacy, cyber-security, and physical safety. Audience: Researchers in computer science, Internet of Things (IoT), electronics engineering, as well as industries that use and deploy drones and other unmanned aerial vehicles.
Author: Pethuru Raj
Publisher: CRC Press
ISBN: 1000057399
Category : Computers
Languages : en
Pages : 328
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Book Description
This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This book Analyzes current research and development in the domains of IoT and big data analytics Gives an overview of latest trends and transitions happening in the IoT data analytics space Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect, pre-process, store, process and analyze data heaps in order to disentangle actionable insights.
Author: Vlasios Tsiatsis
Publisher: Academic Press
ISBN: 012814436X
Category : Technology & Engineering
Languages : en
Pages : 392
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Book Description
Internet of Things: Technologies and Applications for a New Age of Intelligence outlines the background and overall vision for the Internet of Things (IoT) and Cyber-Physical Systems (CPS), as well as associated emerging technologies. Key technologies are described including device communication and interactions, connectivity of devices to cloud-based infrastructures, distributed and edge computing, data collection, and methods to derive information and knowledge from connected devices and systems using artificial intelligence and machine learning. Also included are system architectures and ways to integrate these with enterprise architectures, and considerations on potential business impacts and regulatory requirements. New to this edition: • Updated material on current market situation and outlook.• A description of the latest developments of standards, alliances, and consortia. More specifically the creation of the Industrial Internet Consortium (IIC) and its architecture and reference documents, the creation of the Reference Architectural Model for Industrie 4.0 (RAMI 4.0), the exponential growth of the number of working groups in the Internet Engineering Task Force (IETF), the transformation of the Open Mobile Alliance (OMA) to OMA SpecWorks and the introduction of OMA LightweightM2M device management and service enablement protocol, the initial steps in the specification of the architecture of Web of Things (WoT) by World Wide Consortium (W3C), the GS1 architecture and standards, the transformation of ETSI-M2M to oneM2M, and a few key facts about the Open Connectivity Forum (OCF), IEEE, IEC/ISO, AIOTI, and NIST CPS.• The emergence of new technologies such as distributed ledgers, distributed cloud and edge computing, and the use of machine learning and artificial intelligence for IoT.• A chapter on security, outlining the basic principles for secure IoT installations.• New use case description material on Logistics, Autonomous Vehicles, and Systems of CPS Standards organizations covered: IEEE, 3GPP, IETF, IEC/ISO, Industrial Internet Consortium (IIC), ITU-T, GS1, Open Geospatial Consortium (OGC), Open Mobile Alliance (OMA, e.g. LightweightM2M), Object Management Group (OMG, e.g. Business Process Modelling Notation (BPMN)), oneM2M, Open Connectivity Forum (OCF), W3C Key technologies for IoT covered: Embedded systems hardware and software, devices and gateways, capillary networks, local and wide area networking, IoT data management and data warehousing, data analytics and big data, complex event processing and stream analytics, control systems, machine learning and artificial intelligence, distributed cloud and edge computing, and business process and enterprise integration In-depth security solutions for IoT systems Technical explanations combined with design features of IoT and use cases, which help the development of real-world solutions Detailed descriptions of the architectures and technologies that form the basis of IoT Clear examples of IoT use cases from real-world implementations such as Smart Grid, Smart Buildings, Smart Cities, Logistics and Participatory Sensing, Industrial Automation, and Systems of CPS Market perspectives, IoT evolution, and future outlook
Author: Lavanya Sharma
Publisher: CRC Press
ISBN: 1040030823
Category : Computers
Languages : en
Pages : 311
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Book Description
This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.
