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5. Introduction

Author

Cai, Yiyu, Mangina, Eleni, Goei, Sui Lin, Duh, Henry Been-Lirn, Editor-in-Chief, Nijholt, Anton, Series Editor, Cai, Yiyu, editor, Mangina, Eleni, editor, and Goei, Sui Lin, editor

Published
2023
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10. Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building

Author

Kathirgamanathan, Anjukan, Mangina, Eleni, and Finn, Donal P.

Subjects
Computer Science - Machine Learning, Electrical Engineering and Systems Science - Systems and Control, J.2
Abstract

This research is concerned with the novel application and investigation of `Soft Actor Critic' (SAC) based Deep Reinforcement Learning (DRL) to control the cooling setpoint (and hence cooling loads) of a large commercial building to harness energy flexibility. The research is motivated by the challenge associated with the development and application of conventional model-based control approaches at scale to the wider building stock. SAC is a model-free DRL technique that is able to handle continuous action spaces and which has seen limited application to real-life or high-fidelity simulation implementations in the context of automated and intelligent control of building energy systems. Such control techniques are seen as one possible solution to supporting the operation of a smart, sustainable and future electrical grid. This research tests the suitability of the SAC DRL technique through training and deployment of the agent on an EnergyPlus based environment of the office building. The SAC DRL was found to learn an optimal control policy that was able to minimise energy costs by 9.7% compared to the default rule-based control (RBC) scheme and was able to improve or maintain thermal comfort limits over a test period of one week. The algorithm was shown to be robust to the different hyperparameters and this optimal control policy was learnt through the use of a minimal state space consisting of readily available variables. The robustness of the algorithm was tested through investigation of the speed of learning and ability to deploy to different seasons and climates. It was found that the SAC DRL requires minimal training sample points and outperforms the RBC after three months of operation and also without disruption to thermal comfort during this period. The agent is transferable to other climates and seasons although further retraining or hyperparameter tuning is recommended., Comment: submitted to Energy and AI

Published
2021
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12. AGEO: Advanced Citizens’ Observatory for Atlantic Geohazard Risk Management

Author

Mangina, Eleni, Görgü, Levent, Parker, Kieran, Lemon, Kirstin, Holohan, Eoghan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Rocha, Ana Maria A. C., editor, Garau, Chiara, editor, Scorza, Francesco, editor, Karaca, Yeliz, editor, and Torre, Carmelo M., editor

Published
2023
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13. Combining Augmented Reality and Fairy Tales to Teach Science to Primary School Students: Teachers’ Experience from the Fairy Tale Science Augmented (FAnTASIA) Project

Author

Chiazzese, Giuseppe, Tosto, Crispino, Seta, Luciano, Chifari, Antonella, Denaro, Paola, Dhrami, Doriana, La Guardia, Dario, Arrigo, Marco, Farella, Mariella, Ioannides, Christos, Yegorina, Darya, Mangina, Eleni, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Fulantelli, Giovanni, editor, Burgos, Daniel, editor, Casalino, Gabriella, editor, Cimitile, Marta, editor, Lo Bosco, Giosuè, editor, and Taibi, Davide, editor

Published
2023
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14. The ARETE Ecosystem for the Creation and Delivery of Open Augmented Reality Educational Resources: The PBIS Case Study

Author

Farella, Mariella, Arrigo, Marco, Tosto, Crispino, Seta, Luciano, Chifari, Antonella, Mangina, Eleni, Psyrra, Georgia, Domínguez, Ana, Pacho, Guillermo, Wild, Fridolin, Bowers, Lisa, Hillman, Robert, Goei, Sui Lin, Denaro, Paola, Dhrami, Doriana, Chiazzese, Giuseppe, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Fulantelli, Giovanni, editor, Burgos, Daniel, editor, Casalino, Gabriella, editor, Cimitile, Marta, editor, Lo Bosco, Giosuè, editor, and Taibi, Davide, editor

Published
2023
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15. Harvesting Metadata for XR Digital Learning Objects

Author

Psyrra, Georgia, Mangina, Eleni, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Fulantelli, Giovanni, editor, Burgos, Daniel, editor, Casalino, Gabriella, editor, Cimitile, Marta, editor, Lo Bosco, Giosuè, editor, and Taibi, Davide, editor

Published
2023
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16. Collaborative Augmented Reality Tools for Behavioral Lessons

Author

Domínguez, Ana, Cabrero, Álvaro, Simões, Bruno, Chiazzese, Giuseppe, Farella, Mariella, Arrigo, Marco, Seta, Luciano, Chifari, Antonella, Tosto, Crispino, Goei, Sui Lin, Mangina, Eleni, Masneri, Stefano, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Pachatz, Wolfgang, editor, and Rüütmann, Tiia, editor

Published
2023
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17. A Centralised Soft Actor Critic Deep Reinforcement Learning Approach to District Demand Side Management through CityLearn

Author

Kathirgamanathan, Anjukan, Twardowski, Kacper, Mangina, Eleni, and Finn, Donal

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning, J.2
Abstract

Reinforcement learning is a promising model-free and adaptive controller for demand side management, as part of the future smart grid, at the district level. This paper presents the results of the algorithm that was submitted for the CityLearn Challenge, which was hosted in early 2020 with the aim of designing and tuning a reinforcement learning agent to flatten and smooth the aggregated curve of electrical demand of a district of diverse buildings. The proposed solution secured second place in the challenge using a centralised 'Soft Actor Critic' deep reinforcement learning agent that was able to handle continuous action spaces. The controller was able to achieve an averaged score of 0.967 on the challenge dataset comprising of different buildings and climates. This highlights the potential application of deep reinforcement learning as a plug-and-play style controller, that is capable of handling different climates and a heterogenous building stock, for district demand side management of buildings., Comment: Accepted for ACM BuildSys2020 RLEM'20 Workshop

Published
2020
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18. Data-driven Predictive Control for Unlocking Building Energy Flexibility: A Review

Author

Kathirgamanathan, Anjukan, De Rosa, Mattia, Mangina, Eleni, and Finn, Donal P.

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Managing supply and demand in the electricity grid is becoming more challenging due to the increasing penetration of variable renewable energy sources. As significant end-use consumers, and through better grid integration, buildings are expected to play an expanding role in the future smart grid. Predictive control allows buildings to better harness available energy flexibility from the building passive thermal mass. However, due to the heterogeneous nature of the building stock, developing computationally tractable control-oriented models, which adequately represent the complex and nonlinear thermal-dynamics of individual buildings, is proving to be a major hurdle. Data-driven predictive control, coupled with the "Internet of Things", holds the promise for a scalable and transferrable approach,with data-driven models replacing traditional physics-based models. This review examines recent work utilising data-driven predictive control for demand side management application with a special focus on the nexus of model development and control integration, which to date, previous reviews have not addressed. Further topics examined include the practical requirements for harnessing passive thermal mass and the issue of feature selection. Current research gaps are outlined and future research pathways are suggested to identify the most promising data-driven predictive control techniques for grid integration of buildings., Comment: Accepted for Publication in Renewable and Sustainable Energy Reviews

Published
2020
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20. The ARETE Ecosystem for the Creation and Delivery of Open Augmented Reality Educational Resources: The PBIS Case Study

Author

Farella, Mariella, primary, Arrigo, Marco, additional, Tosto, Crispino, additional, Seta, Luciano, additional, Chifari, Antonella, additional, Mangina, Eleni, additional, Psyrra, Georgia, additional, Domínguez, Ana, additional, Pacho, Guillermo, additional, Wild, Fridolin, additional, Bowers, Lisa, additional, Hillman, Robert, additional, Goei, Sui Lin, additional, Denaro, Paola, additional, Dhrami, Doriana, additional, and Chiazzese, Giuseppe, additional

Published
2023
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21. Introduction

Author

Cai, Yiyu, primary, Mangina, Eleni, additional, and Goei, Sui Lin, additional

Published
2023
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24. Combining Augmented Reality and Fairy Tales to Teach Science to Primary School Students: Teachers’ Experience from the Fairy Tale Science Augmented (FAnTASIA) Project

Author

Chiazzese, Giuseppe, primary, Tosto, Crispino, additional, Seta, Luciano, additional, Chifari, Antonella, additional, Denaro, Paola, additional, Dhrami, Doriana, additional, La Guardia, Dario, additional, Arrigo, Marco, additional, Farella, Mariella, additional, Ioannides, Christos, additional, Yegorina, Darya, additional, and Mangina, Eleni, additional

Published
2023
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28. Experience API (xAPI) for Virtual Reality (VR) Education in Medicine

Author

Mangina, Eleni, McGirl, Tara, Ryan, Grace, Murphy, John, McAuliffe, Fionnuala, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Auer, Michael E., editor, Pester, Andreas, editor, and May, Dominik, editor

Published
2022
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29. An Augmented Reality Solution for the Positive Behaviour Intervention and Support

Author

Farella, Mariella, Arrigo, Marco, Tosto, Crispino, Taibi, Davide, Seta, Luciano, Chifari, Antonella, Goei, Sui Lin, Pronk, Jeroen, Mangina, Eleni, Denaro, Paola, Dhrami, Doriana, Chiazzese, Giuseppe, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zachmann, Gabriel, editor, Alcañiz Raya, Mariano, editor, Bourdot, Partrick, editor, Marchal, Maud, editor, Stefanucci, Jeanine, editor, and Yang, Xubo, editor

Published
2022
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30. Data Analytics on eXtended Reality (XR) for Pedagogy Education: Educators’ Awareness for the Future of Education in Smart Cities

Author

Mangina, Eleni, Psyrra, Georgia, Phelan, Thomas, Schwaiger, Michael, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Daimi, Kevin, editor, and Al Sadoon, Abeer, editor

Published
2022
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31. Plant Species Detection Using Image Processing and Deep Learning: A Mobile-Based Application

Author

Mangina, Eleni, Burke, Elizabeth, Matson, Ronan, O’Briain, Rossa, Caffrey, Joe M., Saffari, Mohammad, Pardalos, Panos M., Series Editor, Thai, My T., Series Editor, Du, Ding-Zhu, Honorary Editor, Belavkin, Roman V., Advisory Editor, Birge, John R., Advisory Editor, Butenko, Sergiy, Advisory Editor, Kumar, Vipin, Advisory Editor, Nagurney, Anna, Advisory Editor, Pei, Jun, Advisory Editor, Prokopyev, Oleg, Advisory Editor, Rebennack, Steffen, Advisory Editor, Resende, Mauricio, Advisory Editor, Terlaky, Tamás, Advisory Editor, Vu, Van, Advisory Editor, Vrahatis, Michael N., Associate Editor, Xue, Guoliang, Advisory Editor, Ye, Yinyu, Advisory Editor, Bochtis, Dionysis D., editor, Moshou, Dimitrios E., editor, Vasileiadis, Giorgos, editor, and Balafoutis, Athanasios, editor

Published
2022
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36. Analysis of Educational Robotics Activities Using a Machine Learning Approach

Author

Cesaretti, Lorenzo, Screpanti, Laura, Scaradozzi, David, Mangina, Eleni, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Scaradozzi, David, editor, Guasti, Lorenzo, editor, Di Stasio, Margherita, editor, Miotti, Beatrice, editor, Monteriù, Andrea, editor, and Blikstein, Paulo, editor

Published
2021
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39. Optimising Supply Chain Logistics System Using Data Analytics Techniques

Author

Mangina, Eleni, Narasimhan, Pranav Kashyap, Saffari, Mohammad, Vlachos, Ilias, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Martins, Ana Lúcia, editor, Ferreira, Joao Carlos, editor, and Kocian, Alexander, editor

Published
2020
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48. Volumetric Pothole Detection from UAV-Based Imagery.

Author

Chen, Siyuan, Laefer, Debra F., Zeng, Xiangding, Truong-Hong, Linh, and Mangina, Eleni

Abstract

Road networks are essential elements of a community's infrastructure and need regular inspection. Present practice requires traffic interruptions and safety risks for inspectors. The road detection system based on vehicle-mounted lasers is also quite mature, offering advantages such as high-precision defect detection, high automation, and fast detection speed. However, it does have drawbacks such as high equipment procurement and maintenance costs, limited flexibility, and insufficient coverage range. Therefore, this paper proposes a low-cost unmanned aerial vehicle (UAV)-based alternative using imagery for automatic road pavement inspection focusing on pothole detection and classification. A slicing-based method, entitled the Pavement Pothole Detection Algorithm, is applied to the imagery after it is converted into a three-dimensional point cloud. When compared with manually extracted results, the proposed UAV-structure-from-motion (SfM) method and the associated algorithm achieved 0.01 m level accuracy for pothole depth detection and maximum errors of 0.0053 m3 in volume evaluation for cases studies of both a road and a bridge deck. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Reconstructing a 3D Room from a Kinect Carrying UAV

Author

Mangina, Eleni, Gannon, Conor, O’Keeffe, Evan, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, K. C., editor, and Hegadi, Ravindra S., editor

Published
2019
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50. The AHA Project: An Evidence-Based Augmented Reality Intervention for the Improvement of Reading and Spelling Skills in Children with ADHD

Author

Chiazzese, Giuseppe, Mangina, Eleni, Chifari, Antonella, Merlo, Gianluca, Treacy, Rita, Tosto, Crispino, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Gentile, Manuel, editor, Allegra, Mario, editor, and Söbke, Heinrich, editor

Published
2019
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