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All Outputs (5)

Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment. (2016)
Conference Proceeding
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.) Engineering applications of neural networks: proceedings of the 17th International engineering applications of neural networks conference (EANN 2016), 2-5 September 2016, Aberdeen, UK. Communications in computer and information science, 629. 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 the combined use of machin... Read More about Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment..

Intelligent measurement in unmanned aerial cyber physical systems for traffic surveillance. (2016)
Conference Proceeding
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.) Engineering applications of neural networks: proceedings of the 17th International engineering applications of neural networks conference (EANN 2016), 2-5 September 2016, Aberdeen, UK. Communications in computer and information science, 629. Cham: Springer [online], pages 161-175. Available from: https://doi.org/10.1007/978-3-319-44188-7_12 161-175. 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 the presence of anomalies in... Read More about Intelligent measurement in unmanned aerial cyber physical systems for traffic surveillance..

Implementing the required degree of multitenancy isolation: a case study of cloud-hosted bug tracking system. (2016)
Conference Proceeding
OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2016. Implementing the required degree of multitenancy isolation: a case study of cloud-hosted bug tracking system. In Zhang, J., Miller, J.A. and Xu, X. (eds.) Proceedings of the 13th Institute of Electrical and Electronics Engineers (IEEE) International services computing conference 2016 (SCC 2016), 27 June - 2 July 2016, San Francisco, USA. Piscataway: IEEE [online], pages 379-386. Available from: https://doi.org/10.1109/SCC.2016.56

Implementing the required degree of isolation between tenants is one of the significant challenges for deploying a multitenant application on the cloud. This paper applies COMITRE (Component-based approach to multitenancy isolation through request re... Read More about Implementing the required degree of multitenancy isolation: a case study of cloud-hosted bug tracking system..

Clustering and nearest neighbour based classification approach for mobile activity recognition. (2016)
Journal Article
BASHIR, S.A., DOOLAN, D.C. and PETROVSKI, A. 2016. Clustering and nearest neighbour based classification approach for mobile activity recognition. Journal of mobile multimedia [online], 12(1-2), pages 110-124. Available from: https://journals.riverpublishers.com/index.php/JMM/article/view/4487

We present a hybridized algorithm based on clustering and nearest neighbour classifier for mobile activity recognition. The algorithm transforms a training dataset into a more compact and reduced representative set that lessens the computational cost... Read More about Clustering and nearest neighbour based classification approach for mobile activity recognition..

The effect of window length on accuracy of smartphone-based activity recognition. (2016)
Journal Article
BASHIR, S.A., DOOLAN, D.C. and PETROVSKI, A. 2016. The effect of window length on accuracy of smartphone-based activity recognition. IAENG international journal of computer science [online], 43(1), pages 126-136. Available from: http://www.iaeng.org/IJCS/issues_v43/issue_1/IJCS_43_1_15.pdf

One of the main approaches for personalization of activity recognition is the generation of the classification model from user annotated data on mobile itself. However, giving the resource constraints on such devices there is a need to examine the ef... Read More about The effect of window length on accuracy of smartphone-based activity recognition..