A Cyber-Physical System for Wildfire Detection and Firefighting

Battistoni, Pietro; Cantone, Andrea Antonio; Martino, Gerardo; Passamano, Valerio; Romano, Marco; Sebillo, Monica; Vitiello, Giuliana

doi:10.3390/fi15070237

Cited by 12 publications

(4 citation statements)

References 35 publications

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“…In Ref. [79], the creation of a cyber-physical system by Battistoni et al for the detection and fighting of wildfires is an example of how digital and physical systems can be integrated to handle important environmental concerns. In Ref.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Authentication Scheme Based on Verifiable Credentials Using Digital Identity in the Context of Web 3.0

Nita,

Mihailescu

2024

Electronics

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This paper explores the concept of digital identity in the evolving landscape of Web 3.0, focusing on the development and implications of a novel authentication scheme using verifiable credentials. The background sets the stage by placing digital identity within the broad context of Web 3.0′s decentralized, blockchain-based internet, highlighting the transition from earlier web paradigms. The methods section outlines the theoretical framework and technologies employed, such as blockchain, smart contracts, and cryptographic algorithms. The results summarize the main findings, including the proposed authentication scheme’s ability to enhance user control, security, and privacy in digital interactions. Finally, the conclusions discuss the broader implications of this scheme for future online transactions and digital identity management, emphasizing the shift towards self-sovereignty and reduced reliance on centralized authorities.

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Section: Literature Reviewmentioning

confidence: 99%

A Novel Authentication Scheme Based on Verifiable Credentials Using Digital Identity in the Context of Web 3.0

Nita,

Mihailescu

2024

Electronics

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“…Pietro et al studied a cyber-physical system for wildfire detection and the early detection of forest fires using a UAV [25]. Here, IoT-based wildfire detection nodes enable early fire detection, enabling continuous monitoring of environmental conditions.…”

Section: Wildfire Detection Using Uavsmentioning

confidence: 99%

Smart Fire Safety Management System (SFSMS) Connected with Energy Management for Sustainable Service in Smart Building Infrastructures

Park,

Lee,

Jang

et al. 2023

Buildings

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The scale of human accidents and the resultant damage has increased due to recent large-scale urban (building) fires, meaning there is a need to devise an effective strategy for urban disasters. In the event of a fire, it is difficult to evacuate in the early stages due to the loss of detection function, difficulty in securing visibility, and confusion over evacuation routes. Accordingly, for rapid evacuation and rescue, it is necessary to build a city-level fire safety service and digital system based on smart technology. In addition, both forest and building fires emit a large amount of carbon dioxide, which is the main cause of global warming. Therefore, we need to prepare both energy and fire management to achieve carbon neutrality by 2030. In this study, we developed an AI-based smart fire safety system for efficient urban integrated management using a city-based fire safety architecture. In addition, we designed a fire management infrastructure and an energy management system for buildings. The proposal was demonstrated by building a test bed in the A building, and the AR-based mobile/web application was tested for optimized evacuation management. Furthermore, AI-based fire detection and the optimal evacuation of occupants were implemented through deep learning-based fire information data analysis. As a result, this paper presents four points for safety and energy management, and we demonstrate that the optimization of occupant evacuation ability and energy saving can be achieved. We also analyze the efficiency of the data transfer rate to prevent data communication delays by using Virtual Edge Gateway (VEG) management. In the future, we expect that the appearance of future fire and energy management buildings through this research will produce more accurate data prediction technology and the development of cutting-edge smart technology in smart city infrastructures.

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“…The use of robotics in elderly care is a burgeoning area of research that seeks to address the escalating demand for home and healthcare services. This article explores the implementation of robots in elderly home care and provides a valuable addition to the existing literature by presenting a comprehensive and operational framework within the Internet of Robotic Things (IoRT) domain, which is generally finding wide use in various sectors [1,2]. This framework integrates robots, sensors, and Artificial Intelligence (AI) to effectively monitor the health conditions of the elderly.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Elderly Health Monitoring: Achieving Autonomous and Secure Living through the Integration of Artificial Intelligence, Autonomous Robots, and Sensors

Cantone,

Esposito,

Perillo

et al. 2023

Electronics

Self Cite

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The use of robots in elderly care represents a dynamic field of study aimed at meeting the growing demand for home-based health care services. This article examines the application of robots in elderly home care and contributes to the literature by introducing a comprehensive and functional architecture within the realm of theInternet of Robotic Things (IoRT). This architecture amalgamates robots, sensors, and Artificial Intelligence (AI) to monitor the health status of the elderly. This study presented a four-actor system comprising a stationary humanoid robot, elderly individuals, medical personnel, and caregivers. This system enables continuous monitoring of the physical and emotional well-being of the elderly through specific sensors that measure vital signs, with real-time updates relayed to physicians and assistants, thereby ensuring timely and appropriate care. Our research endeavors to develop a fully integrated architecture that seamlessly integrates robots, sensors, and AI, enabling comprehensive care for elderly individuals in the comfort of their homes, thus reducing their reliance on institutional hospitalization. In particular, the methodology used was based on a user-centered approach involving geriatricians from the outset. This has been of fundamental importance in assessing their receptivity to the adoption of an intelligent information system, and above all, in understanding the issues most relevant to the elderly. The humanoid robot is specifically designed for close interaction with the elderly, capturing vital signs, emotional states, and cognitive conditions while providing assistance in daily routines and alerting family members and physicians to anomalies. Furthermore, communication was facilitated through an external Telegram bot. To predict the health status of the elderly, a machine learning model based on the Modified Early Warning Score (MEWS), a medical scoring scale, was developed. Five key lessons emerged from the study, showing how the system presented can provide valuable support to physicians, caregivers, and older people.

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A Cyber-Physical System for Wildfire Detection and Firefighting

Cited by 12 publications

References 35 publications

A Novel Authentication Scheme Based on Verifiable Credentials Using Digital Identity in the Context of Web 3.0

A Novel Authentication Scheme Based on Verifiable Credentials Using Digital Identity in the Context of Web 3.0

Smart Fire Safety Management System (SFSMS) Connected with Energy Management for Sustainable Service in Smart Building Infrastructures

Enhancing Elderly Health Monitoring: Achieving Autonomous and Secure Living through the Integration of Artificial Intelligence, Autonomous Robots, and Sensors

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