All Outputs (108)

Critically introducing an online peer review CampusMoodle Audit Tool (CMAT) project. (2020)
Presentation / Conference Contribution
WORK, F., LUDERS, S., GOODHAND, K. and EBOH, W. 2020. Critically introducing an online peer review CampusMoodle Audit Tool (CMAT) project. In Gómez Chova, L., López Martínez, A. and Candel Torres, I. (eds.) Proceedings of the 12th International conference on education and new learning technologies 2020 (EDULEARN20), 6-7 July 2020, [virtual event]. Valencia: IATED [online], pages 525-534. Available from: https://doi.org/10.21125/edulearn.2020.0223

This study critically introduces a CampusMoodle Audit Tool (CMAT) online peer–mentoring project. In this presentation, we share lessons and findings from research on a CMAT project for sharing best practice in Scotland. The rationale for the research... Read More about Critically introducing an online peer review CampusMoodle Audit Tool (CMAT) project..

Speech to text translation enabling multilingualism. (2020)
Presentation / Conference Contribution
BANO, S., JITHENDRA, P., NIHARIKA, G.L. and SIKHI, Y. 2020. Speech to text translation enabling multilingualism. In Proceedings of the 2020 International conference for innovation in technology (INOCON 2020), 6-8 November 2020, Bangluru, India. Piscataway: IEEE [online]. Available from: https://doi.org/10.1109/INOCON50539.2020.9298280

Speech acts as a barrier to communication between two individuals and helps them in expressing their feelings, thoughts, emotions, and ideologies among each other. The process of establishing a communicational interaction between the machine and mank... Read More about Speech to text translation enabling multilingualism..

Cognitive model for object detection based on speech-to-text conversion. (2020)
Presentation / Conference Contribution
PAVULURI, J., SAI, T.V., MANNAM, R.K., MANIDEEP, R. and BANO, S. 2020. Cognitive model for object detection based on speech-to-text conversion. In Proceedings of the 3rd International conference on intelligent sustainable systems (ICISS 2020), 3-5 December 2020, Thoothukudi, India. Piscataway: IEEE [online], pages 843-847. Available from: https://doi.org/10.1109/ICISS49785.2020.9315985

The goal of this paper is to develop a model which is the integrated version of both SpeechRecognition and Object detection. This model is developed after undergoing the literature survey and the existing models that are related to Object Detection a... Read More about Cognitive model for object detection based on speech-to-text conversion..

Allo specchio: le pioniere del video in Europa tra identità e rappresentazione. (2020)
Presentation / Conference Contribution
LEUZZI, L. 2020. Allo specchio: le pioniere del video in Europa tra identità e rappresentazione. Arabeschi [online], 16(Galleria - Smarginature): proceeindgs of the 2020 Forum annuale delle studiose di cinema e audiovisivi (FAScinA 2020), 8-10 October 2020, [virtual event], paper number 2.3. Available from: http://www.arabeschi.it/23-allo-specchio-le-pioniere-del-video-in-europa-tra-identit--e-rappresentazione/

Identity and representation are dominant themes in the works of women pioneers in video art in the 1970s and early 1980s. Video was agile both from a conceptual point of view (free from the heavy patriarchal legacy of traditional artistic techniques)... Read More about Allo specchio: le pioniere del video in Europa tra identità e rappresentazione..

Indoor characterization of genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator. (2020)
Presentation / Conference Contribution
FREIER RAINE, D., MUHAMMAD-SUKKI, F., RAMIREZ-INIGUEZ, R., JAFRY, T., ARDILA-REY, J. A. and GAMIO, C. 2020. Indoor characterization of genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator. In Proceedings of 47th Institute of Electrical and Electronic Engineers (IEEE) Photovoltaic specialists conference 2020 (PVSC 2020), 15 June - 21 August 2020, [virtual conference]. Piscataway: IEEE [online], pages 2600-2604. Available from: https://doi.org/10.1109/pvsc45281.2020.9300920

This paper evaluates the performance of a genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator for low-concentrating photovoltaic (PV) application. The experimental analysis of 4 types of GOCRSH namely the GOCRSH_A GOCRS... Read More about Indoor characterization of genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator..

Character recognition using tesseract enabling multilingualism. (2020)
Presentation / Conference Contribution
NIHARIKA, G.L, BANO, S., KUMAR, P.S., DEEPIKA, T. and THUMATI, H. 2020. Character recognition using tesseract enabling multilingualism. In Proceedings of the 4th International conference on electronics, communication and aerospace technology (ICECA 2020), 5-7 November 2020, Coimbatore, India. Piscataway: IEEE [online], pages 1321-1327. Available from: https://doi.org/10.1109/ICECA49313.2020.9297609

Character recognition builds a recognizing factor for identifying the accuracy in characters. The accuracy of classifying the recognizing characters in an image is applied through deep learning methods. The character recognition is mainly focusing on... Read More about Character recognition using tesseract enabling multilingualism..

Stock price prognosticator using machine learning techniques. (2020)
Presentation / Conference Contribution
NISHITHA, S.N.T., BANO, S., REDDY, G.G., ARJA, P. and NIHARIKA, G.L. 2020. Stock price prognosticator using machine learning techniques. In Proceedings of the 4th International conference on electronics, communication and aerospace technology (ICECA 2020), 5-7 November 2020, Coimbatore, India. Piscataway: IEEE [online], pages 1636-1642. Available from: https://doi.org/10.1109/ICECA49313.2020.9297644

Stock market price prediction is one of the favourite research topics under consideration for professionals from various fields like mathematics, statistics, history, finance, computer science engineering etc., as it requires a set of skills to predi... Read More about Stock price prognosticator using machine learning techniques..

A low-complexity wavelet-based visual saliency model to predict fixations. (2020)
Presentation / Conference Contribution
NARAYANASWAMY, M., ZHAO, Y., FUNG, W.K. and FOUGH, N. 2020. A low-complexity wavelet-based visual saliency model to predict fixations. In Proceedings of 27th Institute of Electrical and Electronic Engineers (IEEE) International conference on electronics, circuits and systems 2020 (ICECS 2020), 23-25 November 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9294905. Available from: https://doi.org/10.1109/ICECS49266.2020.9294905

A low-complexity wavelet-based visual saliency model to predict the regions of human eye fixations in images using low-level features is proposed. Unlike the existing wavelet-based saliency detection models, the proposed model requires only two chann... Read More about A low-complexity wavelet-based visual saliency model to predict fixations..

Wifi-based human activity recognition using Raspberry Pi. (2020)
Presentation / Conference Contribution
FORBES, G., MASSIE, S. and CRAW, S. 2020. Wifi-based human activity recognition using Raspberry Pi. In Alamaniotis, M. and Pan, S. (eds.) Proceedings of Institute of Electrical and Electronics Engineers (IEEE) 32nd Tools with artificial intelligence international conference 2020 (ICTAI 2020), 9-11 Nov 2020, [virtual conference]. Piscataway: IEEE [online], pages 722-730. Available from: https://doi.org/10.1109/ICTAI50040.2020.00115

Ambient, non-intrusive approaches to smart home health monitoring, while limited in capability, are preferred by residents. More intrusive methods of sensing, such as video and wearables, can offer richer data but at the cost of lower resident uptake... Read More about Wifi-based human activity recognition using Raspberry Pi..

An IoT based industry 4.0 architecture for integration of design and manufacturing systems. (2020)
Presentation / Conference Contribution
ANBALAGAN, A. and MORENO-GARCIA, C.F. 2021. An IoT based industry 4.0 architecture for integration of design and manufacturing systems. Materials today: proceedings [online], 46(17): proceedings of 3rd International conference on materials, manufacturing and modelling 2021 (ICMMM 2021), 19-21 March 2021, [virtual conference], pages 7135-7142. Available from: https://doi.org/10.1016/j.matpr.2020.11.196

This paper proposes an Internet of Things (IoT) based 5-stage Industry 4.0 architecture to integrate the design and manufacturing systems in a Cyber Physical Environment (CPE). It considers the transfer of design and manufacturing systems data throug... Read More about An IoT based industry 4.0 architecture for integration of design and manufacturing systems..

Influence of combined empirical functions on slug flow predictions of pipelines with variable inclinations. (2020)
Presentation / Conference Contribution
ZANGANEH, H., KURUSHINA, V., SRINIL, N. and MATAR, O.K. 2020. Influence of combined empirical functions on slug flow predictions of pipelines with variable inclinations. In Proceedings of the 39th ASME international conference on ocean, offshore and arctic engineering (OMAE 2020), 3-7 August 2020, [virtual event]. New York: ASME [online], volume 4: pipelines, risers and subsea systems, paper number OMAE2020-18027, V004T04A025. Available from: https://doi.org/10.1115/OMAE2020-18027

Prediction of internal multiphase flows in subsea pipelines is an integral part of the oil and gas production system design. High mass and pressure fluctuations are often encountered during the operation with a liquid-gas slug flow regime exhibiting... Read More about Influence of combined empirical functions on slug flow predictions of pipelines with variable inclinations..

Performance analysis of different loss function in face detection architectures. (2020)
Presentation / Conference Contribution
FERDOUS, R.H., ARIFEEN, M.M., EIKO, T.S. and AL MAMUN, S. 2020. Performance analysis of different loss function in face detection architectures. In Kaiser, M.S., Bandyopadhyay, A., Muhmad, M. and Ray, K. (eds.) Proceedings of International conference on trends in computational and cognitive engineering 2020 (TCCE-2020), 17-18 December 2020, Dhaka, Bangladesh. Singapore: Springer [online], 659-669. Available from: https://doi.org/10.1007/978-981-33-4673-4_54

Masked face detection is a challenging task due to the occlusions created by the masks. Recent studies show that deep learning models can achieve effective performance for not only occluded faces but also for unconstrained environments, illuminations... Read More about Performance analysis of different loss function in face detection architectures..

Identifying implicit vulnerabilities through personas as goal models. (2020)
Presentation / Conference Contribution
FAILY, S., IACOB, C., ALI, R. and KI-ARIES, D. 2020. Identifying implicit vulnerabilities through personas as goal models. In Katsikas, S., Cuppens, F., Cuppens, N., Lambrinoudakis, C., Kalloniatis, C., Mylopoulos, J., Antón, A., Gritzalis, S., Meng, W. and Furnell, S. (eds.) Computer security: ESORICS 2020 international workshops, CyberICPS, SECPRE, and ADIoT: revised selected papers from the 4th International workshop on security and privacy requirements engineering (SECPRE 2020), co-located with the 25th European symposium on research in computer security (ESORICS 2020), 14-18 September 2020, Guildford, UK. Lecture notes in computer science, 12501. Cham: Springer [online], pages 185-202. Available from: https://doi.org/10.1007/978-3-030-64330-0_12

When used in requirements processes and tools, personas have the potential to identify vulnerabilities resulting from misalignment between user expectations and system goals. Typically, however, this potential is unfulfilled as personas and system go... Read More about Identifying implicit vulnerabilities through personas as goal models..

A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols. (2020)
Presentation / Conference Contribution
RODRIGUEZ-TIRADO, A., MAGALLAN-RAMIREZ, D., MARTINEZ-AGUILAR, J.D., MORENO-GARCIA, C.F., BALDERAS, D. and LOPEZ-CAUDANA, E. 2020. A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols. In Proceedings of 13th Developments in eSystems engineering international conference 2020 (DeSe 2020), 13-17 December 2020, [virtual conference]. Piscataway: IEEE [online], pages 152-157. Available from: https://doi.org/10.1109/DeSE51703.2020.9450731

Maze navigation is a recurring challenge in robotics competitions, where the aim is to design a strategy for one or several entities to traverse the optimal path in a fast and efficient way. To do so, numerous alternatives exist, relying on different... Read More about A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols..

Ensemble-based relationship discovery in relational databases. (2020)
Presentation / Conference Contribution
OGUNSEMI, A., MCCALL, J., KERN, M., LACROIX, B., CORSAR, D. and OWUSU, G. 2020. Ensemble-based relationship discovery in relational databases. In Bramer, M. and Ellis, R. (eds.) Artificial intelligence XXXVII: proceedings of 40th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) Artificial intelligence international conference 2020 (AI-2020), 15-17 December 2020, [virtual conference]. Lecture notes in artificial intelligence, 12498. Cham: Springer [online], pages 286-300. Available from: https://doi.org/10.1007/978-3-030-63799-6_22

We performed an investigation of how several data relationship discovery algorithms can be combined to improve performance. We investigated eight relationship discovery algorithms like Cosine similarity, Soundex similarity, Name similarity, Value ran... Read More about Ensemble-based relationship discovery in relational databases..

Proceedings of the 2nd Research support games day (RSGD #2). (2020)
Presentation / Conference Contribution
BRAY, G. and MCCUTCHEON, V. (eds.) 2020. Proceedings of the 2nd Research support games day (RSGD #2), 8 December 2020, [virtual event]. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/1005411

Game-based learning provides a way to engage researchers on potentially complex or dry topics, in a way that is casual, interactive and effective. Many games have been developed to enable research support services to educate their researchers about v... Read More about Proceedings of the 2nd Research support games day (RSGD #2)..

Personalised meta-learning for human activity recognition with few-data. (2020)
Presentation / Conference Contribution
WIJEKOON, A. and WIRATUNGA, N. 2020. Personalised meta-learning for human activity recognition with few-data. In Bramer, M. and Ellis, R. (eds.) Artificial intelligence XXXVII: proceedings of 40th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) Artificial intelligence international conference 2020 (AI-2020), 15-17 December 2020, [virtual conference]. Lecture notes in artificial intelligence, 12498. Cham: Springer [online], pages 79-93. Available from: https://doi.org/10.1007/978-3-030-63799-6_6

State-of-the-art methods of Human Activity Recognition(HAR) rely on a considerable amount of labelled data to train deep architectures. This becomes prohibitive when tasked with creating models that are sensitive to personal nuances in human movement... Read More about Personalised meta-learning for human activity recognition with few-data..

Computing degree apprenticeships: an opportunity to address gender imbalance in the IT sector? (2020)
Presentation / Conference Contribution
SMITH, S., TAYLOR-SMITH, E., FABIAN, K., BARR, M., BERG, T., CUTTING, D., PATERSON, J., YOUNG, T. and ZARB, M. 2020. Computing degree apprenticeships: an opportunity to address gender imbalance in the IT sector? In Proceedings of 2020 Institute of Electrical and Electronics Engineers (IEEE) Frontiers in education conference (FIE 2020), 21-24 October 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9274144. Available from: https://doi.org/10.1109/FIE44824.2020.9274144

This paper explores the potential for new work-based apprenticeship degrees to encourage more women into computing degrees and the IT sector. In the UK, women are currently under-represented on computing courses. Meanwhile the IT industry requires mo... Read More about Computing degree apprenticeships: an opportunity to address gender imbalance in the IT sector?.

Professional communication tools in higher education: a case study in implementing slack in the curriculum. (2020)
Presentation / Conference Contribution
MENZIES, R. and ZARB, M. 2020. Professional communication tools in higher education: a case study in implementing slack in the curriculum. In Proceedings of 2020 Institute of Electrical and Electronics Engineers (IEEE) Frontiers in education conference (FIE 2020), 21-24 October 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9273906. Available from: https://doi.org/10.1109/FIE44824.2020.9273906

This Innovative Practice Full Paper presents a study which considers the implications of embedding professional communication tools within the computing curriculum. Computing students are comfortable using various communication tools such as social m... Read More about Professional communication tools in higher education: a case study in implementing slack in the curriculum..

Analysing the learning by developing action model in HE computing. (2020)
Presentation / Conference Contribution
LINTILÄ, T. and ZARB, M. 2020. Analysing the learning by developing action model in HE computing. In Proceedings of 2020 Institute of Electrical and Electronics Engineers (IEEE) Frontiers in education conference (FIE 2020), 21-24 October 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9274282. Available from: https://doi.org/10.1109/FIE44824.2020.9274282

This Research to Practice Working Process presents the first phase of the study, in which background information was sought from the literature and by interviews pedagogical experts from Laurea University of Applied Sciences (Laurea). The background... Read More about Analysing the learning by developing action model in HE computing..