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Wot is Wrong With These People?

為了解決wot 的問題，作者Hyman, D. I. 這樣論述：

Internet of Things: Technologies and Applications for a New Age of Intelligence

為了解決wot 的問題，作者Tsiatsis, Vlasios/ Karnouskos, Stamatis/ Holler, Jan/ Boyle, Dav 這樣論述：

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 wa

ys 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), th

e 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 CPSStandards 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), W3CKey technologies for IoT covered: Embedded systems hardware and software, devices and g

ateways, 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 systemsTechnical explanations combined with design features of IoT and use cases, which help the development of real-world solutionsDetailed descriptions of the architectures and technologies that form the basis of IoTClear 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 CPSMarket perspectives, IoT evolution, and future outlook Vlasios Tsiatsis is a Senior Researcher at Ericsson Research, Ericss

on AB and has been working on the Internet of Things (IoT) for 20 years, on subjects ranging from energy-efficient communication algorithms on 8-bit microcontrollers to streaming data analytics in the cloud and recently to IoT Security.He has contributed to several research projects on Wireless Sens

or Networks by DARPA, United States, European Union research projects such as RUNES, SENSEI, IoT-i, and CityPulse as well as internal Ericsson corporate research projects around machine/man/mobile-to-machine and IoT services. Vlasios has extensive theoretical and practical experience on IoT technolo

gies and deployments and his research interests include security, system architecture, IoT system management, machine intelligence, and analytics. He holds a PhD in the area of Networked Embedded Systems from the University of California, Los Angeles.