Book Titled Nature-Inspired Networking: Theory and Applications: An Introduction
Journal Title: EAI Endorsed Transactions on Context-aware Systems and Applications - Year 2017, Vol 4, Issue 14
Abstract
Nature-Inspired Networking: Theory and Applications contains nine original, peer-reviewed chapters reporting on new developments of interest to the nature-inspired networking/computing communities. All chapters contain remarkable topics of nature-inspired networking (NiN), from theory to applications for NiN based on rigorous interdisciplinary approaches in which theoretical contributions have been formally stated and justified, and practical applications have been based on their firm, formal basis. The book is a reference for readers who already have a basic understanding of networking and are now ready to know how to use rigorous approaches to develop networking that is inspired by nature. Chapters were carefully selected to,on one hand, cover a broad spectrum of formal and practical aspects and, on the other hand, achieve as much as possible in a self-contained book.
Authors and Affiliations
Phan Cong Vinh
Representing and Reasoning with the Internet of Things: a Modular Rule-Based Model for Ensembles of Context-Aware Smart Things
Context-aware smart things are capable of computational behaviour based on sensing the physical world, inferring context from the sensed data, and acting on the sensed context. A collection of such things can form what w...
To Sense or not to Sense: An Exploratory Study of Privacy, Trust and other related concerns in Personal Sensing Context-aware Applications
Due to increasing proliferation of smart devices, many users store a significant proportion of personal data on them. Thus, personal sensing applications that sense a user’s context via his smart device have significant...
Fast Radial and Bilateral Symmetry Detection Using Inverted Gradient Hash Maps
This paper presents a fast and novel algorithm for both radial and bilateral symmetry detection based on inverted gradient hash maps (IGHMs). A hash map is an associative array that stores image gradient magnitudes and o...
A Combination of Off-line and On-line Learning to Classifier Grids for Object Detection
We propose a new method for object detection by combining off-line and on-line boosting learning to classifier grids based on visual information without human intervention concerned to intelligent surveillance system. It...
Querying Object-Oriented Databases Based on Signature Graph and n-ary Tree
In this paper, we suggest a new technique to create index helping for querying almost identical similarities with keywords in case there is no correct match found. It’s based on a signature graph and n-ary tree helping t...