Recent Submissions

  • A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. 

    Martin, Kyle; Wiratunga, Nirmalie; Sani, Sadiq; Massie, Stewart; Clos, Jérémie (ICCBR (Organisers), 2017-06-26)
    MARTIN, K., WIRATUNGA, N., SANI, S., MASSIE, S. and CLOS, J. 2017. A convolutional Siamese network for developing similarity knowledge in the SelfBACK dataset. Presented at the 25th international case-based reasoning conference (ICCBR 2017): case-based reasoning and deep learning workshop (CBRDL 2017), 26 June 2017, Trondheim, Norway.
    The Siamese Neural Network (SNN) is a neural network architecture capable of learning similarity knowledge between cases in a case base by receiving pairs of cases and analysing the differences between their features to ...
  • Learning deep features for kNN-based human activity recognition. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart (ICCBR (Organisers), 2017-06-26)
    SANI, S., WIRATUNGA, N. and MASSIE, S. 2017. Learning deep features for kNN-based human activity recognition. Presented at the 25th international case-based reasoning conference (ICCBR 2017): case-based reasoning and deep learning workshop (CBRDL 2017), 26-28 June 2017, Trondheim, Norway.
    A CBR approach to Human Activity Recognition (HAR) uses the kNN algorithm to classify sensor data into different activity classes. Different feature representation approaches have been proposed for sensor data for the ...
  • kNN sampling for personalised human recognition. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (Springer https://doi.org/10.1007/978-3-319-61030-6_23, 2017-06-21)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2017. kNN sampling for personalised human recognition. Lecture notes in computer science, 10339, case-based reasoning research and development: proceedings of the 25th international case-based reasoning conference (ICCBR 2017), 26-28 June 2017, Trondheim, Norway. Cham: Springer [online], pages 330-344. Available from: https://doi.org/10.1007/978-3-319-61030-6_23
    The need to adhere to recommended physical activity guidelines for a variety of chronic disorders calls for high precision Human Activity Recognition (HAR) systems. In the SelfBACK system, HAR is used to monitor activity ...
  • Learning deep and shallow features for human activity recognition. 

    Sani, Sadiq; Massie, Stewart; Wiratunga, Nirmalie; Cooper, Kay (Springer https://doi.org/10.1007/978-3-319-63558-3_40, 2017-07-19)
    SANI, S., MASSIE, S., WIRATUNGA, N. and COOPER, K. 2017. Learning deep and shallow features for human activity recognition. Lecture notes in artificial intelligence, 10412: proceedings of the 10th international knowledge science engineering and management conference (KESEM 2017), 19-20 August 2017, Melbourne, Australia. Cham: Springer [online], pages 469-482. Available from: https://doi.org/10.1007/978-3-319-63558-3_40
    selfBACK is an mHealth decision support system used by patients for the self-management of Lower Back Pain. It uses Human Activity Recognition from wearable sensors to monitor user activity in order to measure their adherence ...
  • Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation. 

    Ochei, Laud Charles (Robert Gordon University School of Computing Science and Digital Media, 2017-05-01)
    OCHEI, L.C. 2017. Architecting the deployment of cloud-hosted services for guaranteeing multitenancy isolation. Robert Gordon University, PhD thesis.
    In recent years, software tools used for Global Software Development (GSD) processes (e.g., continuous integration, version control and bug tracking) are increasingly being deployed in the cloud to serve multiple users. ...
  • CAWIML: a computer assisted web interviewing mark-up language. 

    Lloret Perez, Jose Miguel (Robert Gordon University School of Computing Science and Digital Media, 2016-10-01)
    LLORET PEREZ, J.M. 2016. CAWIML: a computer assisted web interviewing mark-up language. Robert Gordon University, MRes thesis.
    Computer-Assisted Web Interviewing (CAWI) is the new mode of conducting surveys through web browsers. This on-line solution extends the traditional paper questionnaire with functionality to inform the order of questions, ...
  • Insourcing a government information system: a case study from Malaysia. 

    Omar, Azmi (Robert Gordon University School of Computing Science and Digital Media, 2017-06-01)
    OMAR, A. 2017. Insourcing a government information system: a case study from Malaysia. Robert Gordon University, PhD thesis.
    Insourcing, outsourcing and co-sourcing are three approaches to procuring an information system. This research contributes to the body of knowledge on insourcing an information system; exploring and discussing the enabling ...
  • An outlier ranking tree selection approach to extreme pruning of random forests. 

    Fawagreh, Khaled; Gaber, Mohamed Medhat; Elyan, Eyad (Springer https://doi.org/10.1007/978-3-319-44188-7_20, 2016-08-19)
    FAWAGREH, K., GABER, M.M. and ELYAN, E. 2016. An outlier ranking tree selection approach to extreme pruning of random forests. In Jayne, C. and Iliadis, L. (eds.) Communications in computer and information science, 629, Engineering applications of neural networks: proceedings of the 17th international conference on engineering applications of neural networks (EANN 2016), 2-5 September 2016, Aberdeen, UK. Cham: Springer [online], pages 267-282. Available from: https://doi.org/10.1007/978-3-319-44188-7_20
    Random Forest (RF) is an ensemble classification technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, ...
  • An analysis of user engagement in relation to computing workshop activities. 

    Menzies, Rachel; Crabb, Michael; Herron, Daniel; Petrie, Karen; Stewart, Craig; Zarb, Mark (ACM https://doi.org/10.1145/2676723.2677272, 2015-02-24)
    MENZIES, R., CRABB, M., HERRON, D., PETRIE, K., STEWART, C. and ZARB, M. 2015. An analysis of user engagement in relation to computing workshop activities. In Proceedings of the 46th ACM technical symposium on computer science education (SIGCSE'15), 4 -7 March 2015, Kansas City, USA. New York: ACM [online], pages 469-474. Available from: https://doi.org/10.1145/2676723.2677272.
    Computing is now one of the fastest growing fields of employment, with a large bias placed on developing Science, Technology, Engineering, and Mathematics (STEM) education in schools. However, due to the fast pace of ...
  • Understanding the diverse needs of subtitle users in a rapidly evolving media landscape. 

    Armstrong, Mike; Brown, Andy; Crabb, Michael; Hughes, Chris J.; Jones, Rhianne; Sandford, James (SMPTE https://doi.org/10.5594/JMI.2016.2614919, 2016-12-31)
    ARMSTRONG, M., BROWN, A., CRABB, M., HUGHES, C., JONES, R. and SANDFORD, J. 2016. Understanding the diverse needs of subtitle users in a rapidly evolving media landscape. SMPTE motion imaging journal [online], 125(9), pages 33-41. Available from: https://doi.org/10.5594/JMI.2016.2614919
    Audiences are increasingly using services, such as video on demand and the Web, to watch television programs. Broadcasters need to make subtitles available across all these new platforms. These platforms also create new ...
  • Understanding the diverse needs of subtitle users in a rapidly evolving media landscape. 

    Armstrong, Mike; Brown, Andy; Crabb, Michael; Hughes, Chris J.; Jones, Rhianne; Sandford, James (IET https://doi.org/10.1049/ibc.2015.0032, 2015-09-10)
    ARMSTRONG, M., BROWN, A., CRABB, M., HUGHES, C.J., JONES, R. and SANDFORD, J. 2015. Understanding the diverse needs of subtitle users in a rapidly evolving media landscape. In the Proceedings of the IBC 2015, 10 - 14 September 2015, Amsterdam, Netherlands. Stevenage: IET [online]. Available from: https://doi.org/10.1049/ibc.2015.0032
    Audiences are increasingly using services such as video on demand and the web to watch television programmes. Broadcasters need to make subtitles available across all these new platforms. These platforms also create new ...
  • Effective dependency rule-based aspect extraction for social recommender systems. 

    Chen, Yoke Yie; Wiratunga, Nirmalie; Lothian, Robert (Association for Information Systems http://aisel.aisnet.org/pacis2017/263, 2017-07-16)
    CHEN, Y.Y., WIRATUNGA, N. and LOTHIAN, R. 2017. Effective CHEN, Y.Y., WIRATUNGA, N. and LOTHIAN, R. 2017. Effective dependency rule-based aspect extraction for social recommender systems. In Proceedings of the 21st Pacific Asia conference on information systems 2017 (PACIS 2017), 16-20 July 2017, Langkawi, Malaysia. Atlanta: Association for Information Systems [online], article ID 263. Available from: http://aisel.aisnet.org/pacis2017/263
    Social recommender systems capitalise on product reviews to generate recommendations that are both guided by experiential knowledge and are explained by user opinions centred on important product aspects. Therefore, having ...
  • Pacman's canon in C#: a quantum interpretation of video game canon. 

    Heron, Michael James (Springer https://doi.org/10.1007/s40869-017-0036-5, 2017-05-22)
    HERON, M. 2017. Pacman's canon in C#: a quantum interpretation of video game canon. The computer games journal [online], 6(3), pages 135-151. Available from: https://doi.org/10.1007/s40869-017-0036-5
    The topic of what constitutes canon with a video game is an under-explored topic in critical discussion. We rely, as a field, on largely intuitive and insubstantial parameters for the elements that we choose to analyse. ...
  • Deep active learning for autonomous navigation. 

    Hussein, Ahmed; Gaber, Mohamed Medhat; Elyan, Eyad (Springer https://doi.org/10.1007/978-3-319-44188-7_1, 2016-08-19)
    HUSSEIN, A., GABER, M.M. and ELYAN, E. 2016. Deep active learning for autonomous navigation. In Jayne, C. and Iliadis, L. (eds.) Communications in computer and information science, 629. Engineering applications of neural networks: proceedings of the 17th International conference on engineering applications of neural networks (EANN 2016), 2 - 5 September 2016, Aberdeen, UK. Cham: Springer [online], pages 3-17. Available from: https://doi.org/10.1007/978-3-319-44188-7_1
    Imitation learning refers to an agent's ability to mimic a desired behavior by learning from bservations. A major challenge facing learning from demonstrations is to represent the demonstrations in a manner that is adequate ...
  • Intelligent measurement in unmanned aerial cyber physical systems for traffic surveillance. 

    Petrovski, Andrei; Rattadilok, Prapa; Petrovski, Sergei (Springer https://doi.org/10.1007/978-3-319-44188-7_12, 2016-08-19)
    PETROVSKI, A., RATTADILOK, P. and PETROVSKII, S. 2016. Intelligent measurement in unmanned aerial cyber physical systems for traffic surveillance. In Jayne, C. and Iliadis, L. (eds.) Communications in computer and information science, 629. Engineering applications of neural networks: proceedings of the 17th International conference on engineering applications of neural networks (EANN 2016), 2 - 5 September 2016, Aberdeen, UK. Cham: Springer [online], pages 161-175. Available from: https://doi.org/10.1007/978-3-319-44188-7_12
    An adaptive framework for building intelligent measurement systems has been proposed in the paper and tested on simulated traffic surveillance data. The use of the framework enables making intelligent decisions related to ...
  • Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment. 

    Majdani, Farzan; Petrovski, Andrei; Doolan, Daniel C. (Springer https://doi.org/10.1007/978-3-319-44188-7_15, 2016-08-19)
    MAJDANI, F., PETROVSKI, A. and DOOLAN, D. 2016. Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment. In Jayne, C. and Iliadis, L. (eds.) Communications in computer and information science, 629. Engineering applications of neural networks: proceedings of the 17th International conference on engineering applications of neural networks (EANN 2016), 2 - 5 September 2016, Aberdeen, UK. Cham: Springer [online], pages 198-210. Available from: https://doi.org/10.1007/978-3-319-44188-7_15
    An adaptive multi-tiered framework, which can be utilised for designing a context-aware cyber physical system is proposed and applied within the context of assuring offshore asset integrity. Adaptability is achieved through ...
  • Quick Response Code Secure: a cryptographically secure anti-phishing tool for QR code attacks. 

    Mavroeidis, Vasileios; Nicho, Mathew (Springer https://doi.org/10.1007/978-3-319-65127-9, 2017-08-21)
    MAVROEIDIS, V. and NICHO, M. 2017. Quick Response Code Secure: a cryptographically secure anti-phishing tool for QR code attacks. Lecture notes in computer science [online], 10466. Computer communication networks and telecommunications: computer network security; proceedings of the 7th international conference on mathematical methods, models and architectures for computer networks security (MMM-ACNS 2017), 28-30 August 2017, Warsaw, Poland. Cham: Springer, pages 313-324. Available from: https://doi.org/10.1007/978-3-319-65127-9
    The two-dimensional quick response (QR) codes can be misleading due to the difficulty in differentiating a genuine QR code from a malicious one. Since, the vulnerability is practically part of their design, scanning a ...
  • Informed selection and use of training examples for knowledge refinement. 

    Wiratunga, Nirmalie (Robert Gordon University School of Computing, 2000-12-31)
    WIRATUNGA, N.C. 2000. Informed selection and use of training examples for knowledge refinement. Robert Gordon University, PhD thesis.
    Knowledge refinement tools seek to correct faulty rule-based systems by identifying and repairing faults indicated by training examples that provide evidence of faults. This thesis proposes mechanisms that improve the ...
  • mHealth optimisationfor education and physical activity in type 1 diabetes: MEDPAT1. 

    Hall, J.; Stephen, K.; Croall, A.; MacMillan, J.; Murray, L.; Wiratunga, Nirmalie; Massie, Stewart; MacRury, S. (University of Highlands and Islands/RGU/Diabetes Scotland, 2017-03-08)
    HALL, J., STEPHEN, K., CROALL, A., MACMILLAN, J., MURRAY, L., WIRATUNGA, N., MASSIE, S. and MACRURY, S. 2017. mHealth optimisation for education and physical activity in Type 1 diabetes: MEDPAT1. Presented at the Diabetes UK professional conference 2017, 8 - 10 March 2017, Manchester, UK.
    Aims: To develop and evaluate usability of prototype personalised prediction algorithms for people with Type 1 diabetes to optimise blood glucose control associated with physical activity using smart phone technology. To ...
  • Multi-source video multicast in internet-connected wireless mesh networks. 

    Tu, Wanqing; Sreenan, Cormac; Jha, Sanjay; Zhang, Qian (IEEE https://doi.org/10.1109/TMC.2017.2691706, 2017-04-06)
    TU, W., SREENAN, C., JHA, S. and ZHANG, Q. [2017] Multi-source video multicast in internet-connected wireless mesh networks. IEEE transactions on mobile computing [online], (accepted). Available from: https://doi.org/10.1109/TMC.2017.2691706
    Wireless mesh networks (WMNs) connect to the Internet via access gateways. This paper studies multi-sourcevideo multicast in Internet-connected WMNs. The focus is onthe design of a shareable integrated multicast that allows ...

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