The following list of tutorials are proposed for the IE'19 conference.
The "Automation of Everything" era
by H. Khyati, Nokia
We are at the beginning of an era of profound transformation and human progress — a new industrial revolution. This "Automation of Everything" era will be brought about by digital interfaces, data analysis and control of the physical world through “smart” networks. These networks will support the digitalization and connection of everything and everyone with the goal of automating much of life.
This major industrial revolution promises to unlock trillions of dollars of economic value in the next decade by driving massive improvements in productivity in physical and digital industries alike, enhancing quality of life in safer, healthier and more sustainable communities.
Wireless Communications with Unmanned Aerial Vehicles (UAVs): from Wi-Fi to 5G
UAV-mounted equipment can be an aerial user equipment (AUE) or a part of wireless infrastructure providing a range of services (e.g. localization) to the ground users. First, we will focus on the UAV communication basics, providing the channel modeling background. Next, theoretical, simulation-and measurement-based approaches to address the key challenges for AUE usage will be presented. Moreover, we will provide a comprehensive overview on how UAV-mounted equipment can be used as a part of the communication network. Based on the theoretical analysis, we will show how various network parameters can be optimized for coverage maximization and the localization error minimization.
Fundamentals of Indoor Location for Smart Environments Applications
by O. Belmonte-Fernández, Universitat Jaume I
Indoor location is a topic that has attracted lot attention in the past two decades. This is mainly due to the success of outdoor location, typically GPS, and the provided services based on this technology. The goal of indoor location is to provide similar services that can be found in outdoor location where GPS signal can not penetrate (buildings such as airports, malls, museums and homes).
This tutorial presents the different technologies available for indoor location, the algorithms used, example applications and future research lines. Special attention will be devoted to location systems based on Wi-Fi fingerprinting.
Smart Environments Architecture (SEARCH)
by Juan Carlos Augusto, Murad Ali, José Gines Giménez Manuel, Chimezie Leonard Oguego and Mario Quinde
From: Research Group on Development of Intelligent Environments, Middlesex University, London
Our research group has been developing an integrated system architecture combining different modules which are interconnected and deal with complex cases of house services automation, behaviour recognition, user advice and emergencies. The system includes learning and reasoning modules, interfaces as well as handling of preferences and multiple occupancy. The aim of the tutorial will be to explain how it works and how it may be used by other teams.
Hands-on Process Mining for Smart Environments
A software system managing a smart space takes, among its inputs, models of human behavior; such models are usually difficult to obtain and to validate. The employment of techniques from business process modeling and mining may represent a solution to both the problems, but a set of challenges need to be faced in order to cope with major differences between human activities and business processes. This tutorial will allow attendees to apply process mining to sensor logs acquired from smart spaces.