Abstract
Indoor Air Quality (IAQ) pertains to the air quality within a specific space and is directly linked to the well-being and comfort of its occupants. In line with this objective, this research presents a real-time system dedicated to monitoring and predicting IAQ, encompassing both thermal comfort and gas concentration. The system initiates with a data acquisition, wherein a set of sensors captures environmental parameters and transmits this data for storage in a database. The measured parameters are analyzed by a neural network algorithm that predicts anomalies based on historical data. The neural network model generated predictions from 75.9% to 98.1% (depending on the parameter) of precision during regular situations. After that, a test with smoke in the same place was done to validate the model, and the results showed it could detect anomalies. Finally, prediction data are stored in a new database and displayed on a dashboard for monitoring in real-time measured and prediction data. © 2023 IEEE.

Abstract
Forests worldwide have been suffering from fires damages, provoking incalculable losses in fauna and flora, economic losses, people and animals' deaths, among other problems. To avoid forest fires catastrophes, it is fundamental to develop innovative operations, such as a forest fire monitoring system. This work concentrates efforts on defining the optimum sensor allocation in a forest fires monitoring system based on a wireless sensor network. Thus, a bi-objective mathematical model is developed to solve the problem, in which the first objective consists of minimising the forest fire hazard of a given forest region, and the second objective refers to the sensors spreading into this region. The developed mathematical model was solved by genetic algorithm and the results demonstrated that the methodology was capable of presenting suitable solutions for the problem. © 2023 American Institute of Physics Inc.. All rights reserved.

Abstract
Forests worldwide have been devastated by fires. Forest fires cause incalculable damage to fauna and flora. In addition, a forest fire can lead to the death of people and financial damage in general, among other problems. To avoid wildfire catastrophes is fundamental to detect fire ignitions in the early stages, which can be achieved by monitoring ignitions through sensors. This work presents an integer programming approach to decide where to locate such sensors to maximize the coverage provided by them, taking into account different types of sensors, fire hazards, and technological and budget constraints. We tested the proposed approach in a real-world forest with around 7500 locations to be covered and about 1500 potential locations for sensors, showing that it allows obtaining optimal solutions in less than 20 min. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Abstract

Abstract

Abstract
One important role of Enterprise Architecture aims at modeling enterprise artifacts and their relationships, ranging from the high-level concepts to physical ones such as communication networks and enterprise premises. As it is well known, these artifacts evolve over time, as well as their relationships. The dynamic nature of such artifacts has been a difficulty not only in modeling but also in keeping enterprise blueprints updated. This paper presents our approach to handle blueprints of the Enterprise Architecture, based on several years and projects in large organizations, both in the financial and telecommunication industry. We started by considering "projects" as the changing elements of Enterprise artifacts and achieve a scenario where blueprints are automatically generated and updated, and a time bar allows traveling from the past (AS-WAS), to the present (AS-IS) and to the future scenarios (TO-BE). The paper also presents an overview of the underlying model, the applied methodology and the blueprints that we found to be a valuable instrument amongst elements of different communities: Project Management, IT Governance and IT Architecture. In spite that the cases studies are targeted to the IT domain, the lessons are valid for other architectural areas. © 2009 Springer Berlin Heidelberg.