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All Outputs (78)

DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance. (2020)
Conference Proceeding
PIRAS, L., AL-OBEIDALLAH, M.G., PAVLIDIS, M., MOURATIDIS, H., TSOHOU, A., MAGKOS, E., PRAITANO, A., IODICE, A. and CRESPO, B. G.-N. 2020. DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance. In Gritzalis, S., Weippl, E.R., Kotsis, G., Tjoa, A.M. and Khalil, I. (eds.) Trust, privacy and security in digital business: proceedings of 17th Trust and privacy in digital business international conference 2020 (TrustBus 2020), 14-17 September 2020, Bratislava, Slovakia. Lecture notes in computer science, 12395. Cham: Springer [online], pages 186-201. Available from: https://doi.org/10.1007/978-3-030-58986-8_13

The introduction of the European General Data Protection Regulation (GDPR) has brought significant benefits to citizens, but it has also created challenges for organisations, which are facing with difficulties interpreting it and properly applying it... Read More about DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance..

Highway sustainability construction: reducing carbon emissions using process management. (2020)
Conference Proceeding
UCHEHARA, I., HAMMA-ADAMA, M. and MOORE, D. 2020. Highway sustainability construction: reducing carbon emissions using process management. In Scott, L. and Neilson, C.J. (eds.) Proceedings of the 36th Association of Researchers in Construction Management (ARCOM) annual conference 2020 (ARCOM 2020), 7-8 September 2020, [virtual conference]. Leeds: ARCOM [online], pages 305-314. Available from: http://www.arcom.ac.uk/-docs/archive/2020-Indexed-Papers.pdf

Carbon emission is a critical issue in infrastructure development, in which the highway construction industry is inclusive. Previous studies suggest that continuous carbon emission across the highway projects is due to the use of different types of c... Read More about Highway sustainability construction: reducing carbon emissions using process management..

Critical analysis of the suitability of surrogate models for finite element method application in catalog-based suspension bushing design. (2020)
Conference Proceeding
CERNUDA, C., LLAVORI, I., ZAVOIANU, A.-C., AGUIRRE, A., ZABALA, A. and PLAZA, J. 2020. Critical analysis of the suitability of surrogate models for finite element method application in catalog-based suspension bushing design. In Proceedings of 25th Institute of Electrical and Electronics Engineers (IEEE) Emerging technologies and factory automation international conference 2020 (ETFA 2020), 8-11 September 2020, Vienna, Austria. Piscataway: IEEE [online], article ID 9212166, pages 829-836. Available from: https://doi.org/10.1109/ETFA46521.2020.9212166

This work presents a critical analysis of the suitability of surrogate models for finite element method application. A case study of a finite element method (FEM) structural problem was selected in order to test the performance of surrogate algorithm... Read More about Critical analysis of the suitability of surrogate models for finite element method application in catalog-based suspension bushing design..

Infrastructure development in the West African extractive industry: a system thinking approach. (2020)
Conference Proceeding
OBIRI, K.A., BJEIRMI, B., MOORE, D. and BOATENG, P. 2020. Infrastructure development in the West African extractive industry: a system thinking approach. In Scott, L. and Neilson, C.J. (eds.) Proceedings of the 36th Association of Researchers in Construction Management (ARCOM) annual conference 2020 (ARCOM 2020), 7-8 September 2020, [virtual conference]. Leeds: ARCOM [online], pages 275-284. Available from: http://www.arcom.ac.uk/-docs/archive/2020-Indexed-Papers.pdf

The extractive industry in the West African region contributes significantly to the socio-economic development of the host communities and the wider economies of resource-rich countries. However, the spill-over effects to the domestic suppliers and t... Read More about Infrastructure development in the West African extractive industry: a system thinking approach..

Investigating the major causes of morphological transformations in the CBD of Accra and the impact on urban heat island intensity. (2020)
Conference Proceeding
GYASI-ADDO, J.A. and BENNADJI, A. 2020. Investigating the major causes of morphological transformations in the CBD of Accra and the impact on urban heat island intensity. In Scott, L. and Neilson, C.J. (eds.) Proceedings of the 36th Association of Researchers in Construction Management (ARCOM) annual conference 2020 (ARCOM 2020), 7-8 September 2020, [virtual conference]. Leeds: ARCOM [online], pages 566-575. Available from: http://www.arcom.ac.uk/-docs/archive/2020-Indexed-Papers.pdf

Tropical urban sites are constantly under the threats of the adverse effects of urban heat island (UHI) - a situation which is aggravated by climate change. Urban morphology comprises a large set of factors that play an important role in modifying ur... Read More about Investigating the major causes of morphological transformations in the CBD of Accra and the impact on urban heat island intensity..

Decentralized combinatorial optimization. (2020)
Conference Proceeding
CHRISTIE, L.A. 2020. Decentralized combinatorial optimization. In Bäck, T., Preuss, M., Deutz, A., Wang, H., Doerr, C., Emmerich, M. and Trautmann, H. (eds.) Parallel problem solving from nature: PPSN XVI: proceedings of the 16th Parallel problem solving from nature international conference (PPSN 2020), 5-9 September 2020, Leiden, Netherlands. Theoretical computer science and general issues, 12269. Cham; Springer, pages 360-372. Available from: https://doi.org/10.1007/978-3-030-58112-1_25

Combinatorial optimization is a widely-studied class of computational problems with many theoretical and real-world applications. Optimization problems are typically tackled using hardware and software controlled by the user. Optimization can be comp... Read More about Decentralized combinatorial optimization..

Modeling and implementation of smart home and self-control window using FPGA and Petri Net. (2020)
Conference Proceeding
AJAO, L.A., AGAJO, J., UMAR, B.U., AGBOADE, T.T. and ADEGBOYE, M.A. 2020. Modeling and implementation of smart home and self-control window using FPGA and Petri Net. In Proceedings of 7th IEEE (Institute of Electrical and Electronics Engineers) PES/IAS (Power and Energy Society/Industrial Applications Society) PowerAfrica 2020 (IEEE PES/IAS PowerAfrical 2020): sustainable and smart energy revolutions for powering Africa, 25-28 August 2020, [virtual conference]. Piscataway: IEEE [online], article 9219925. Available from: https://doi.org/10.1109/PowerAfrica49420.2020.9219925

The function of the window is to provide comfort for the householders by regulating the indoor environment. However, most of the residence windows are still controlled manually. Although, a quite number of automated windows based on the Internet of T... Read More about Modeling and implementation of smart home and self-control window using FPGA and Petri Net..

An exploratory study of links between individuals' perceptions of solo tourism and their desires for social interaction and solitude. (2020)
Conference Proceeding
LEITH, C. 2020. An exploratory study of links between individuals' perceptions of solo tourism and their desires for social interaction and solitude. In Martí-Parreño, J., Gómez-Calvet, R. and Muñoz de Prat, J. (eds.) ICTR 2020: proceedings of the 3rd International conference on tourism research, 27-28 March 2020, Valencia, Spain. Reading: ACPI.

There is a continuing growth of solo tourism as a significant sector within the tourism industry. This growth reflects a general growth of solo lifestyle choices in areas such as housing, work, relationships and leisure pursuits. While reasons for th... Read More about An exploratory study of links between individuals' perceptions of solo tourism and their desires for social interaction and solitude..

WEC: weighted ensemble of text classifiers. (2020)
Conference Proceeding
UPADHYAY, A., NGUYEN, T.T., MASSIE, S. and MCCALL, J. 2020. WEC: weighted ensemble of text classifiers. In Proceedings of 2020 Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation (IEEE CEC 2020), part of the 2020 (IEEE) World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 International joint conference on neural networks (IJCNN 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, Glasgow, UK [virtual conference]. Piscataway: IEEE [online], article ID 9185641. Available from: https://doi.org/10.1109/CEC48606.2020.9185641

Text classification is one of the most important tasks in the field of Natural Language Processing. There are many approaches that focus on two main aspects: generating an effective representation; and selecting and refining algorithms to build the c... Read More about WEC: weighted ensemble of text classifiers..

Racing strategy for the dynamic-customer location-allocation problem. (2020)
Conference Proceeding
ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A., CONWAY, A. and OWUSU, G. 2020. Racing strategy for the dynamic-customer location-allocation problem. In Proceedings of 2020 Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation (IEEE CEC 2020), part of the 2020 (IEEE) World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 International joint conference on neural networks (IJCNN 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, Glasgow, UK [virtual conference]. Piscataway: IEEE [online], article 9185918. Available from: https://doi.org/10.1109/CEC48606.2020.9185918

In previous work, we proposed and studied a new dynamic formulation of the Location-allocation (LA) problem called the Dynamic-Customer Location-allocation (DC-LA) prob­lem. DC-LA is based on the idea of changes in customer distribution over a define... Read More about Racing strategy for the dynamic-customer location-allocation problem..

Deep learning for text detection and recognition in complex engineering diagrams. (2020)
Conference Proceeding
JAMIESON, L, MORENO-GARCIA, C.F. and ELYAN, E. 2020. Deep learning for text detection and recognition in complex engineering diagrams. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207127. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207127

Engineering drawings such as Piping and Instrumentation Diagrams contain a vast amount of text data which is essential to identify shapes, pipeline activities, tags, amongst others. These diagrams are often stored in undigitised format, such as paper... Read More about Deep learning for text detection and recognition in complex engineering diagrams..

Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. (2020)
Conference Proceeding
MORENO-GARCÍA, C.F., JOHNSTON, P. and GARKUWA, B. 2020. Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207479. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207479

One of the key features of most document image digitisation systems is the capability of discerning between the main components of the printed representation at hand. In the case of engineering drawings, such as circuit diagrams, telephone exchanges... Read More about Pixel-based layer segmentation of complex engineering drawings using convolutional neural networks..

Locality sensitive batch selection for triplet networks. (2020)
Conference Proceeding
MARTIN, K., WIRATUNGA, N. and SANI, S. 2020. Locality sensitive batch selection for triplet networks. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207538. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207538

Triplet networks are deep metric learners which learn to optimise a feature space using similarity knowledge gained from training on triplets of data simultaneously. The architecture relies on the triplet loss function to optimise its weights based u... Read More about Locality sensitive batch selection for triplet networks..

Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition. (2020)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N. and COOPER, K. 2020. Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9206941. Available from: https://doi.org/10.1109/IJCNN48605.2020.9206941

Exercise adherence is a key component of digital behaviour change interventions for the self-management of musculoskeletal pain. Automated monitoring of exercise adherence requires sensors that can capture patients performing exercises and Machine Le... Read More about Heterogeneous multi-modal sensor fusion with hybrid attention for exercise recognition..

Representing temporal dependencies in smart home activity recognition for health monitoring. (2020)
Conference Proceeding
FORBES, G., MASSIE, S., CRAW, S., FRASER, L. and HAMILTON, G. 2020. Representing temporal dependencies in smart home activity recognition for health monitoring. In Proceedings of the 2020 Institute of Electrical and Electronics Engineers (IEEE) International joint conference on neural networks (IEEE IJCNN 2020), part of the 2020 IEEE World congress on computational intelligence (IEEE WCCI 2020) and co-located with the 2020 IEEE congress on evolutionary computation (IEEE CEC 2020) and the 2020 IEEE International fuzzy systems conference (FUZZ-IEEE 2020), 19-24 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9207480. Available from: https://doi.org/10.1109/IJCNN48605.2020.9207480

Long term health conditions, such as fall risk, are traditionally diagnosed through testing performed in hospital environments. Smart Homes offer the opportunity to perform continuous, long-term behavioural and vitals monitoring of residents, which m... Read More about Representing temporal dependencies in smart home activity recognition for health monitoring..

Evolved ensemble of detectors for gross error detection. (2020)
Conference Proceeding
NGUYEN, T.T., MCCALL, J., WILSON, A., OCHEI, L., CORBETT, H. and STOCKTON, P. 2020. Evolved ensemble of detectors for gross error detection. In GECCO '20: proceedings of the Genetic and evolutionary computation conference companion (GECCO 2020), 8-12 July 2020, Cancún, Mexico. New York: ACM [online], pages 281-282. Available from: https://doi.org/10.1145/3377929.3389906

In this study, we evolve an ensemble of detectors to check the presence of gross systematic errors on measurement data. We use the Fisher method to combine the output of different detectors and then test the hypothesis about the presence of gross err... Read More about Evolved ensemble of detectors for gross error detection..

Professional learning through collaborative online international learning. (2020)
Conference Proceeding
SWARTZ, S., BARBOSA, B., CRAWFORD, I. and LUCK, S. 2020. Professional learning through collaborative online international learning. In Gómez Chova, L., López Martínez, A. and Candel Torres, I. (eds.) Proceedings of the 12th International conference on education and new learning technologies (EDULEARN20), 6-7 July 2020, [virtual conference]. Valencia: International Academy of Technology, Education and Development (IATED) [online], pages 3564-3571. Available from: https://doi.org/10.21125/edulearn.2020.0997

Collaborative online international learning (COIL) presents relevant opportunities for innovation in the teaching-learning process. Global virtual teams (GVTs) activities provide a very broad set of advantages, including the development of soft skill... Read More about Professional learning through collaborative online international learning..

ETAREE: an effective trend-aware reputation evaluation engine for wireless medical sensor networks. (2020)
Conference Proceeding
HAJAR, M.S., AL-KADRI, M.O. and KALUTARAGE, H. 2020. ETAREE: an effective trend-aware reputation evaluation engine for wireless medical sensor networks. In Proceedings of 2020 Institute of Electrical and Electronics Engineers (IEEE) Communications and network security conference (CNS 2020), 29 June - 1 July 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9162325. Available from: https://doi.org/10.1109/CNS48642.2020.9162325

Wireless Medical Sensor Networks (WMSN) will play a significant role in the advancements of modern healthcare applications. Security concerns are still the main obstacle to the widespread adoption of this technology. Conventional security approaches,... Read More about ETAREE: an effective trend-aware reputation evaluation engine for wireless medical sensor networks..

Multi-layer heterogeneous ensemble with classifier and feature selection. (2020)
Conference Proceeding
NGUYEN, T.T., VAN PHAM, N., DANG, M.T., LUONG, A.V., MCCALL, J. and LIEW, A.W.C. 2020. Multi-layer heterogeneous ensemble with classifier and feature selection. In GECCO '20: proceedings of the Genetic and evolutionary computation conference (GECCO 2020), 8-12 July 2020, Cancun, Mexico. New York: ACM [online], pages 725-733. Available from: https://doi.org/10.1145/3377930.3389832

Deep Neural Networks have achieved many successes when applying to visual, text, and speech information in various domains. The crucial reasons behind these successes are the multi-layer architecture and the in-model feature transformation of deep le... Read More about Multi-layer heterogeneous ensemble with classifier and feature selection..

Through the lens: enhancing assessment with video-based presentation. (2020)
Conference Proceeding
ZARB, M. and BIRTLESKELMAN, J. 2020. Through the lens: enhancing assessment with video-based presentations. In Proceedings of the 25th Association for Computing Machinery (ACM) Innovation and technology in computer science education conference 2020 (ITiCSE '20), 15-19 June 2020, Trondheim, Norway. New York: ACM [online], pages 187-192. Available from: https://doi.org/10.1145/3341525.3387376

This paper discusses a video-based approach trialled within Robert Gordon University. Students are typically asked to formally deliver presentations (either individually, or in groups) for summative assessment. Timetabling issues, large student numbe... Read More about Through the lens: enhancing assessment with video-based presentation..