Now showing items 1-20 of 1254

  • A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation. 

    Ochei, Laud Charles; Ejiofor, Christopher Ifeanyichukwu (ASTES Journal https://doi.org/10.25046/aj030220, 2018-03-27)
    OCHEI, L.C. and EJIOFOR, C.I. 2018. A model for optimising the deployment of cloud-hosted application components for guaranteeing multitenancy isolation. Advances in science, technology and engineering systems journal [online], 3(2), pages 174-183. Available from: https://doi.org/10.25046/aj030220
    Tenants associated with a cloud-hosted application seek to reduce running costs and minimize resource consumption by sharing components and resources. However, despite the benefits, sharing resources can affect tenant’s ...
  • Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services. 

    Ochei, Laud Charles; Ejiofor, Christopher Ifeanyichukwu (ASTES Journal https://doi.org/10.25046/aj030312, 2018-05-31)
    OCHEI, L.C. and EJIOFOR, C.I. 2018. Evaluating the effect of locking on multitenancy isolation for components of cloud-hosted services. Advances in science, technology and engineering systems journal [online], 3(3), pages 92-99. Available from: https://doi.org/10.25046/aj030312
    Multitenancy isolation is a way of ensuring that the performance, stored data volume and access privileges required by one tenant and/or component does not affect other tenants and/or components. One of the conditions that ...
  • Preparation and characterization of palladium ceramic alumina membrane for hydrogen permeation. 

    Orakwe, Ifeyinwa; Shehu, Habiba; Gobina, Edward (Elsevier https://doi.org/10.1016/j.ijhydene.2019.01.033, 2019-02-02)
    ORAKWE, I., SHEHU, H. and GOBINA, E. 2019. Preparation and characterization of palladium ceramic alumina membrane for hydrogen permeation. International journal of hydrogen energy [online], In Press. Available from: https://doi.org/10.1016/j.ijhydene.2019.01.033
    In this study, a tubular palladium membrane has been prepared by an electroless plating method using palladium II chloride as a precursor with the intent of not having a completely dense film since its application does not ...
  • Influence of reduced graphene oxide on epoxy/carbon fibre-reinforced hybrid composite: flexural and shear properties under varying temperature conditions. 

    Jenkins, Paddy; Siddique, Shohel; Khan, Samrin; Usman, Aliyu; Starost, Kristof; MacPherson, Allan; Bari, Pravin; Mishra, Satyendra; Njuguna, James
    JENKINS, P., SIDDIQUE, S., KHAN, S., USMAN, A., STAROST, K., MACPHERSON, A., BARI, P., MISHRA, S. and NJUGUNA, J. 2019. Influence of reduced graphene oxide on epoxy/carbon fibre-reinforced hybrid composite: flexural and shear properties under varying temperature conditions. Advanced engineering materials [online], (accepted).
    This study investigated the effectiveness of reduced graphene oxide as nanofiller in enhancing epoxy/carbon fibre-reinforced composite at varying temperature conditions. The graphene oxide was synthesised using modified ...
  • Multi-label classification via label correlation and first order feature dependence features in a data stream. 

    Nguyen, Tien Thanh; Nguyen, Thi Thu Thuy; Luong, Anh Vu; Nguyen, Quoc Viet Hung; Liew, Alan Wee-Chung; Stantic, Bela (Elsevier https://doi.org/10.1016/j.patcog.2019.01.007, 2019-01-06)
    NGUYEN, T.T., NGUYEN, T.T.T., LUONG, A.V., NGUYEN, Q.V.H., LIEW, A.W.-C. and STANTIC, B. 2019. Multi-label classification via label correlation and first order feature dependance in a data stream. Pattern recognition [online], 90, pages 35-51. Available from: https://doi.org/10.1016/j.patcog.2019.01.007
    Many batch learning algorithms have been introduced for offline multi-label classification (MLC) over the years. However, the increasing data volume in many applications such as social networks, sensor networks, and traffic ...
  • Fall prediction using behavioural modelling from sensor data in smart homes. 

    Forbes, Glenn; Massie, Stewart; Craw, Susan
    FORBES, G., MASSIE, S. and CRAW, S. [2019]. Fall prediction using behavioural modelling from sensor data in smart homes. Artificial intelligence review [online], (accepted). Available from: https://doi.org/10.1007/s10462-019-09687-7
    The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other ...
  • A review of vibration detection methods using accelerometer sensors for water pipeline leakage. 

    Ismail, Mohd Ismifaizul Mohd; Dziyauddin, Rudzidatul Akmam; Ahmad-Salleh, Noor Azurati; Muhammad-Sukki, Firdaus; Bani, Nurul Aini; Izhar, Mohd Azri Mohd; Latiff, L. A. (IEEE https://doi.org/10.1109/ACCESS.2019.2896302, 2019-01-30)
    ISMAIL, M.I.M., DZIYAUDDIN, R.A., AHMAD-SALLEH, N.A., MUHAMMAD-SUKKI, F., BANI, N.A., IZHAR, M.A.M. and LATIFF, L.A. 2019. A review of vibration detection methods using accelerometer sensors for water pipeline leakage. IEEE access [online], Early Access. Available from: https://doi.org/10.1109/ACCESS.2019.2896302
    Water pipeline leakage detection is still an important issue, particularly for the development of smart cities. Thus, this paper reviews water pipeline leakage detection techniques, which can be classified into three ...
  • Predicting service levels using neural networks. 

    Ainslie, Russell; McCall, John; Shakya, Siddhartha; Owusu, Gilbert (Springer https://doi.org/10.1007/978-3-319-71078-5_35, 2017-11-21)
    AINSLIE, R., MCCALL, J., SHAKYA, S. and OWUSU, G. 2017. Predicting service levels using neural networks. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXIV: proceedings of the 37th SGAI International innovative techniques and applications of artificial intelligence conference 2017 (AI 2017), 12-14 December 2017, Cambridge, UK. Lecture notes in computer science, 10630. Cham: Springer [online], pages 411-416. Available from: https://doi.org/10.1007/978-3-319-71078-5_35
    In this paper we present a method to predict service levels in utility companies, giving them advanced visibility of expected service outcomes and helping them to ensure adherence to service level agreements made to their ...
  • Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. 

    Sabra, Adham; Fung, Wai-Keung; Churn, Philip (2019-02-12)
    SABRA, A., FUNG, W.-K. and CHURN, P. 2018. Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. Presented at the 14th International distributed autonomous robotic systems symposium 2018 (DARS 2018), 15-17 October 2018, Boulder, USA.
    Ultra-Short Base Line (USBL) is the most commonly adopted localization method in industry due to its flexibility. However, the maximum number of underwater targets that can be simultaneously localized by USBL is very limited ...
  • Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. 

    Sabra, Adham; Fung, Wai-Keung; Churn, Philip (Springer https://doi.org/10.1007/978-3-030-05816-6_8, 2019-01-30)
    SABRA, A., FUNG, W.-K. and CHURN, P. 2018. Multi-objective optimization of confidence-based localization in large-scale underwater robotic swarms. In Correll, N., Schwager, M. and Otte, M. (eds.) Distributed autonomous robotic systems: proceedings of the 14th International distributed autonomous robotic systems symposium 2018 (DARS 2018), 15-17 October 2018, Boulder, USA. Springer proceedings in advanced robotics, 9. Cham: Springer [online], pages 109-123. Available from: https://doi.org/10.1007/978-3-030-05816-6_8
    Localization in large-scale underwater swarm robotic systems has in-creasingly attracted research and industry communities’ attention. An optimized confidence-based localization algorithm is proposed for improving localization ...
  • Confidence-based underwater localization scheme for large-scale mobile sensor networks. 

    Sabra, Adham; Fung, Wai-Keung; Prabhu, Radhakrishna (IEEE https://doi.org/10.1109/OCEANS.2018.8604878, 2018-10-22)
    SABRA, A., FUNG, W.-K. and RADHAKRISHNA, P. 2018. Confidence-based underwater localization scheme for large-scale mobile sensor networks. In Proceedings of the Marine Technology Society and Insitutute of Electrical and Electronics Engineers (MTS/IEEE) OCEANS 2018, 22-25 October 2018, Charleston, USA. Piscataway: IEEE [online], article ID 8604878. Available from: https://doi.org/10.1109/OCEANS.2018.8604878
    The absence of Global Positioning System in underwater environment predominates in the challenges of underwater vehicles navigation or sensor nodes tracking. Localization of single or few underwater vehicles has been ...
  • Generalized small-signal modelling of dual active bridge DC/DC converter. 

    Hebala, Osama M.; Aboushady, Ahmed A.; Ahmed, Khaled H.; Burgess, Sam; Prabhu, Radhakrishna (IEEE https://doi.org/10.1109/ICRERA.2018.8567014, 2018-12-10)
    HEBALA, O.M., ABOUSHADY, A.A., AHMED, K.H., BURGESS, S. and PRABHU, R. 2018. Generalized small-signal modelling of dual active bridge DC/DC converter. In Proceedings of the 7th International conference on renewable energy research and applications 2018 (ICRERA), 14-17 October 2018, Paris, France. Piscataway: IEEE [online], article ID 8567014, pages 914-919. Available from: https://doi.org/10.1109/ICRERA.2018.8567014
    This paper presents a novel generalised approach of the small-signal modelling of dual active bridge (DAB) DC/DC converter. The adopted analysis is based on a per-unit fundamental frequency representation of the DAB. The ...
  • Developing accessible services: understanding current knowledge and areas for future support. 

    Crabb, Michael; Heron, Michael James; Jones, Rhianne; Armstrong, Mike; Reid, Hayley; Wilson, Amy
    CRABB, M., HERON, M., JONES, R., ARMSTRONG, M., REID, H. and WILSON, A. 2019. Developing accessible services: understanding current knowledge and areas for future support. In Proceedings of the Conference on human factors in computing systems 2019 (CHI 2019): weaving the threads of CHI, 4-9 May 2019, Glasgow, UK. New York: ACM [online] (accepted). Available from: https://doi.org/10.1145/3290605.3300446
    When creating digital artefacts, it is important to ensure that the product being made is accessible to as much of the population as is possible. Many guidelines and supporting tools exist to assist reaching this goal. ...
  • The relationships between users and daylighting design in the 20th century architectural practice. 

    Belakehal, Azeddine; Tabet Aoul, Kheira Anissa; Bennadji, Amar; Farhi, A. (Effat University (Organisers) https://www.effatuniversity.edu.sa/English, 2017-04-18)
    BELAKEHAL, A., TABET AOUL, K., BENNADJI, A. and FARHI, A. 2017. The relationships between users and daylighting design in the 20th century architectural practice. Presented at the 1st Memaryat international conference (MIC 2017): architecture of the future; challenges and visions, 18-20 April 2017, Jeddah, Saudi Arabia.
    Architecture is considered a crossing field between arts and sciences that is supported by multiple, various and complex issues. Considering that architecture is a man's creation for men, this research explores human factors ...
  • Modal acoustic emission analysis of mode-I and mode-II fracture of adhesively-bonded joints. 

    Crawford, Alasdair R.; Droubi, Mohamad Ghazi; Faisal, Nadimul Haque (EWAGE (Organisers) http://www.ewgae2018.com/conference-proceedings/, 2018-09-12)
    CRAWFORD, A.R., DROUBI, M.G. and FAISAL, N.H. 2018. Modal acoustic emission analysis of mode-I and mode-II fracture of adhesively-bonded joints. In Proceedings of the 33rd European Working Group on Acoustic Emission (EWGAE) European acoustic emission testing conference (EWGAE 2018), 12-14 September 2018, Senlis, France. Senlis: EWGAE [online], pages 218-228. Available from: http://www.ewgae2018.com/wp-content/uploads/2018/09/EWGAE-Conference-Proceedings_2018-1.pdf
    Acoustic emission (AE) testing has previously been demonstrated to be well suited to detecting failure in adhesively-bonded joints. In this work, the relationship between the fracture-mode of adhesively-bonded specimens ...
  • Context extraction for aspect-based sentiment analytics: combining syntactic, lexical and sentiment knowledge. 

    Bandhakavi, Anil; Wiratunga, Nirmalie; Massie, Stewart; Luhar, Rushi (Springer https://doi.org/10.1007/978-3-030-04191-5_30, 2018-11-16)
    BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and LUHAR, R. 2018. Context extraction for aspect-based sentiment analytics: combining syntactic, lexical and sentiment knowledge. In Bramer, M. and PETRIDIS, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's specialist group on artificial intelligence (SGAI) annual international artificial intelligence conference (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 357-371. Available from: https://doi.org/10.1007/978-3-030-04191-5_30
    Aspect-level sentiment analysis of customer feedback data when done accurately can be leveraged to understand strong and weak performance points of businesses and services and also formulate critical action steps to improve ...
  • Overlap-based undersampling for improving imbalanced data classification. 

    Vuttipittayamongkol, Pattaramon; Elyan, Eyad; Petrovski, Andrei; Jayne, Chrisina (Springer https://doi.org/10.1007/978-3-030-03493-1_72, 2018-11-09)
    VUTTIPITTAYAMONGKOL, P., ELYAN, E., PETROVSKI, A. and JAYNE, C. 2018. Overlap-based undersampling for improving imbalanced data classification. In Yin, H., Camacho, D., Novais, P. and Tallón-Ballesteros, A. (eds.) Intelligent data engineering and automated learning: proceedings of the 19th International intelligent data engineering and automated learning conference (IDEAL 2018), 21-23 November 2018, Madrid, Spain. Lecture notes in computer science, 11341. Cham: Springer [online], pages 689-697. Available from: https://doi.org/10.1007/978-3-030-03493-1_72
    Classification of imbalanced data remains an important field in machine learning. Several methods have been proposed to address the class imbalance problem including data resampling, adaptive learning and cost adjusting ...
  • Improving human activity recognition with neural translator models. 

    Wijekoon, Anjana; Wiratunga, Nirmalie; Sani, Sadiq (ICCBR (ORGANISERS) http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=96, 2018-07-09)
    WIJEKOON, A., WIRATUNGA, N. and SANI, S. 2018. Improving human activity recognition with neural translator models. In Minor, M. (ed.) Workshop proceedings for the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 96-100. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=96
    Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is more convenient and less intrusive. It is advantages to create a model which learns ...
  • Study of similarity metrics for matching network-based personalised human activity recognition. 

    Sani, Sadiq; Wiratunga, Nirmalie; Massie, Stewart; Cooper, Kay (ICCBR (ORGANISERS) http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=91, 2018-07-09)
    SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Study of similarity metrics for matching network-based personalised human activity recognition. In Minor, M. (ed.) Workshop proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 91-95. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=91
    Personalised Human Activity Recognition (HAR) models trained using data from the target user (subject-dependent) have been shown to be superior to non personalised models that are trained on data from a general population ...
  • Explainability through transparency and user control: a case-based recommender for engineering workers. 

    Martin, Kyle; Liret, Anne; Wiratunga, Nirmalie; Owusu, Gilbert; Kern, Mathias (ICCBR (ORGANISERS) http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=22, 2018-07-09)
    MARTIN, K., LIRET, A., WIRATUNGA, N., OWUSU, G. and KERN, M. 2018. Explainability through transparency and user control: a case-based recommender for engineering workers. In Minor, M. (ed.) Workshop proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 22-31. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=22
    Within the service providing industries, field engineers can struggle to access tasks which are suited to their individual skills and experience. There is potential for a recommender system to improve access to information ...