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Dependable IoT for Human and Industry - Modeling, Architecting, Implementation (Hardcover): Vyacheslav Kharchenko, Ah-Lian Kor,... Dependable IoT for Human and Industry - Modeling, Architecting, Implementation (Hardcover)
Vyacheslav Kharchenko, Ah-Lian Kor, Andrzej Rucinski
R2,892 Discovery Miles 28 920 Ships in 12 - 17 working days

There are numerous publications which introduce and discuss the Internet of Things (IoT). In the midst of these, this work has several unique characteristics which should change the reader's perspective, and in particular, provide a more profound understanding of the impact of the IoT on society. Dependable IoT for Human and Industry covers the main aspects of Internet of Things and IoT based systems such as global issues of applications, modeling, development and implementation of dependable IoT for different human and industry domains. Technical topics discussed in the book include: - Introduction in Internet of vital and trust Things - Modelling and assessment techniques for dependable and secure IoT systems - Architecting and development of IoT systems - Implementation of IoT for smart cities and drone fleets; business and blockchain, transport and industry - Training courses and education experience on Internet and Web of Thing The book contains chapters which have their roots in the International Conference IDAACS 2017, and Workshop on Cyber Physical Systems and IoT Dependability CyberIoT-DESSERT 2017.

A Sharp Threshold for Random Graphs with a Monochromatic Triangle in Every Edge Coloring (Paperback, illustrated Edition): Ehud... A Sharp Threshold for Random Graphs with a Monochromatic Triangle in Every Edge Coloring (Paperback, illustrated Edition)
Ehud Friedgut, Vojtech Rodl, Andrzej Rucinski, Prasad Tetali
R1,846 R1,601 Discovery Miles 16 010 Save R245 (13%) Ships in 12 - 17 working days

Let $\cal{R}$ be the set of all finite graphs $G$ with the Ramsey property that every coloring of the edges of $G$ by two colors yields a monochromatic triangle. In this paper the authors establish a sharp threshold for random graphs with this property. Let $G(n, p)$ be the random graph on $n$ vertices with edge probability $p$. The authors prove that there exists a function $\widehat c=\widehat c(n)=\Theta(1)$ such that for any $\varepsilon > 0$, as $n$ tends to infinity, $Pr\left G(n, (1-\varepsilon)\widehat c/\sqrt{n}) \in \cal{R} \right] \rightarrow 0$ and $Pr \left G(n, (1]\varepsilon)\widehat c/\sqrt{n}) \in \cal{R}\ \right] \rightarrow 1.$. A crucial tool that is used in the proof and is of independent interest is a generalization of Szemeredi's Regularity Lemma to a certain hypergraph setti

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