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D. Criado-Ramón, L. G. B. Ruiz, J. R. S. Iruela and M. C. Pegalajar
This paper introduces the first completely unsupervised methodology for non-intrusive load monitoring that does not rely on any additional data, making it suitable for real-life applications. The methodology includes an algorithm to efficiently decompose...
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Vandha Pradwiyasma Widartha, Ilkyeun Ra, Su-Yeon Lee and Chang-Soo Kim
Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing them to manually, remotely, and automatically modify the b...
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Alex Galis
This paper presents a comprehensive set of design methods for making future Internet networking fully energy-aware and sustainably minimizing and managing the energy footprint. It includes (a) 41 energy-aware design methods, grouped into Service Operatio...
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Mihai Crengani?, Radu-Eugen Breaz, Sever-Gabriel Racz, Claudia-Emilia Gîrjob, Cristina-Maria Biri?, Adrian Maro?an and Alexandru Bârsan
This scientific paper presents the development and validation process of a dynamic model in Simulink used for decision-making regarding the locomotion and driving type of autonomous omnidirectional mobile platforms. Unlike traditional approaches relying ...
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Nicolò Riboni, Erika Ribezzi, Lucia Nasi, Monica Mattarozzi, Maurizio Piergiovanni, Matteo Masino, Federica Bianchi and Maria Careri
The impact of the anthropic activities in Antarctica is a concerning issue. According to the Scientific Committee on Antarctic Research, attention has to be paid to the next-generation contaminants deriving from both long-range atmospheric transport and ...
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Rafael Pacheco-Blazquez, Julio Garcia-Espinosa, Daniel Di Capua and Andres Pastor Sanchez
This paper delves into the application of digital twin monitoring techniques for enhancing offshore floating wind turbine performance, with a detailed case study that uses open-source digital twin software. We explore the practical implementation of digi...
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Antoine Soloy, Carlos Lopez Solano, Emma Imen Turki, Ernesto Tonatiuh Mendoza and Nicolas Lecoq
This study delves into the morphodynamic changes of pebble beaches in response to storm events, employing a combination of observational and numerical approaches. This research focuses on three extreme events, meticulously examining morhological changes ...
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Dágila Melo Rodrigues, Paulo Carteri Coradi, Newiton da Silva Timm, Michele Fornari, Paulo Grellmann, Telmo Jorge Carneiro Amado, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio and José Luís Trevizan Chiomento
In recent years, agricultural remote sensing technology has made great progress. The availability of sensors capable of detecting electromagnetic energy and/or heat emitted by targets improves the pre-harvest process and therefore becomes an indispensabl...
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Huanyu Wu, Wei Zhang, Zongbin Liu, Xuhui Bai, Junwei Huang, Jun Huang and Zezhou Wu
Rail transit is an important part of the urban transportation system, while the noise generated during construction seriously affects the engineering personnel and surrounding residents. To investigate the noise emissions and characteristics during the c...
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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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