A study of existing Ontologies in the IoT-domain

Several domains have adopted the increasing use of IoT-based devices to collect sensor data for generating abstractions and perceptions of the real world. This sensor data is multi-modal and heterogeneous in nature. This heterogeneity induces interoperability issues while developing cross-domain applications, thereby restricting the possibility of reusing sensor data to develop new applications. As a solution to this, semantic approaches have been proposed in the literature to tackle problems related to interoperability of sensor data. Several ontologies have been proposed to handle different aspects of IoT-based sensor data collection, ranging from discovering the IoT sensors for data collection to applying reasoning on the collected sensor data for drawing inferences. In this paper, we survey these existing semantic ontologies to provide an overview of the recent developments in this field. We highlight the fundamental ontological concepts (e.g., sensor-capabilities and context-awareness) required for an IoT-based application, and survey the existing ontologies which include these concepts. Based on our study, we also identify the shortcomings of currently available ontologies, which serves as a stepping stone to state the need for a common unified ontology for the IoT domain.Comment: Submitted to Elsevier JWS SI on Web semantics for the Internet/Web of Thing

Digital Twin of a greenhouse for smart farming

Este documento presenta un marco de gemelo digital dentro del dominio de la agricultura inteligente. Diseña un gemelo digital basado en el control predictivo autónomo de un invernadero. El diseño de un entorno digital para crear un sistema ciberfísico capaz de controlar los parámetros ambientales del invernadero de forma remota, y para permitir al usuario entender mejor el invernadero y su entorno. El gemelo digital presentado usa un control de modelo predictivo basado en la anticipación de las previsiones meteorológicas, y servicios para recuperar y guardar los datos de la nube.This document presents a digital twin framework in the smart farming domain. It designs a digital twin based on the autonomous predictive control of a greenhouse. The design of a digital environment to create a cyber-physical-system able to control the greenhouse ambient parameters remotely, and to allow the user to understand better the greenhouse and its environment. The digital twin presented uses model predictive control based on previewing weather forecasts, and services to retrieve and store the data in the cloud.Aquest document presenta un marc de bessó digital dins del domini de l’agricultura intel·ligent. Dissenya un bessó digital basat en el control predictiu autònom d’un hivernacle. El disseny d’un entorn digital per crear un sistema ciberfísic capaç de controlar els paràmetres ambientals de l’hivernacle de forma remota i, per permetre a l’usuari entendre millor l’hivernacle i el seu entorn. El bessó digital presentat usa un control de model predictiu basat en l’anticipació de les previsions meteorològiques, i serveis per recuperar i guardar les dades del núvol.Outgoin

Innovative Baggage Delivery Services In Future air transport networks

Airports must accommodate ever increasing passenger numbers while offering a wide range of services. The services are provided through different facilities and processes creat-ing a complex ecosystem of mutually dependent activities. Airport terminals are large-size multi-stakeholder buildings with innovative designs. The complex management of all air-port operations requires proper recognition of all relationships among many stakeholders. The overarching aim of the management and design efforts so to provide high level of passenger satisfaction, and at the same time, to ensure smooth operations with minimum delays. The demands to accommodate increases in passenger numbers drive the need for expanding the capacity of airport and for using the resources and infrastructure more ef-ficiently. The imbalance between the services demand and the available capacity creates congestion problems at different service points throughout the airport. Unlike many other previous works addressing mainly the airport capacity and congestion related to the num-ber of aircraft and flights it is able to serve at any one time, our work is concerned with passenger services, and specifically with baggage delivery. More specifically, the concept of dissociating passenger travel from baggage delivery is introduced and evaluated from several different perspectives. The baggage dissociation can help to improve the passenger air travel experience, make public transport to airport more viable option, and thus, reduce ground-side congestion at airports with reduced CO2 emissions, use existing airport capaci-ty more efficiently while reducing footprint of new airports, optimize monetization of cargo and baggage delivery, elevate the value of non-hub airports, and exploit the new aircraft designs to name a few. It can be argued that innovations in baggage delivery will be man-datory in order to meet the future passenger demands. However, despite these significant drivers, at present, there are still many regulatory and infrastructure challenges which have to be overcome before baggage dissociation can become reality. This thesis contributes sev-eral studies towards feasibility of the baggage dissociation, two ways have been presented to pave the way for the baggage dissociation the new baggage delivery networks and the Satellite terminals (Off-Airport terminals)