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Woo-Hyun Choi and Jung-Ho Lewe
This study proposes a deep learning model utilizing the BACnet (Building Automation and Control Network) protocol for the real-time detection of mechanical faults and security vulnerabilities in building automation systems. Integrating various machine le...
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Dana Catalina Popa, Yolanda Laurent, Razvan Alexandru Popa, Adrian Pasat, Mihaela Balanescu, Ekaterina Svertoka, Elena Narcisa Pogurschi, Livia Vidu and Monica Paula Marin
This research introduces an innovative platform designed to manage greenhouse gas (GHG) emissions in mixed farms. Emphasizing the urgent need to address GHG emissions, particularly methane (CH4) and nitrous oxide (N2O), the platform targets mixed farming...
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Paolo Bellavista and Giuseppe Di Modica
A Digital Twin (DT) refers to a virtual representation or digital replica of a physical object, system, process, or entity. This concept involves creating a detailed, real-time digital counterpart that mimics the behavior, characteristics, and attributes...
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Long Chen, Diju Gao and Qimeng Xue
Reducing energy consumption and carbon emissions from ships is a major concern. The development of hybrid technologies offers a new direction for the rational distribution of energy. Therefore, this paper establishes a torque model for internal combustio...
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Marwan Mahmoud and Sami Ben Slama
The Internet of Energy (IoE) is a topic that industry and academics find intriguing and promising, since it can aid in developing technology for smart cities. This study suggests an innovative energy system with peer-to-peer trading and more sophisticate...
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Silvano Cortesi, Christian Vogt and Michele Magno
IPS is a crucial technology that enables medical staff and hospital management to accurately locate and track persons or assets inside medical buildings. Among other technologies, readily available BLE can be exploited to achieve an energy-efficient and ...
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Ahmed Hassebo and Mohamed Tealab
As the world becomes increasingly urbanized, the development of smart cities and the deployment of IoT applications will play an essential role in addressing urban challenges and shaping sustainable and resilient urban environments. However, there are al...
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Wongwan Jung and Daejun Chang
This study proposed a deep reinforcement learning-based energy management strategy (DRL-EMS) that can be applied to a hybrid electric ship propulsion system (HSPS) integrating liquid hydrogen (LH2) fuel gas supply system (FGSS), proton-exchange membrane ...
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Tabassum Kanwal, Saif Ur Rehman, Tariq Ali, Khalid Mahmood, Santos Gracia Villar, Luis Alonso Dzul Lopez and Imran Ashraf
Agriculture is a critical domain, where technology can have a significant impact on increasing yields, improving crop quality, and reducing environmental impact. The use of renewable energy sources such as solar power in agriculture has gained momentum i...
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Claudio Maino, Antonio Mastropietro, Luca Sorrentino, Enrico Busto, Daniela Misul and Ezio Spessa
Hybrid electric vehicles are, nowadays, considered as one of the most promising technologies for reducing on-road greenhouse gases and pollutant emissions. Such a goal can be accomplished by developing an intelligent energy management system which could ...
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