Now showing items 1-19 of 19

  • Anomaly monitoring framework based on intelligent data analysis. 

    Rattadilok, Prapa; Petrovski, Andrei; Petrovski, Sergei (Springer. http://dx.doi.org/10.1007/978-3-642-41278-3_17, 2013-10)
    RATTADILOK, P., PETROVSKI, A. and PETROVSKI, S., 2013. Anomaly monitoring framework based on intelligent data analysis. In: H. YIN, K. TANG and Y. GAO, eds. Intelligent Data Engineering and Automated Learning -- IDEAL 2013: Proceedings. 20-23 October 2013. Heidelberg: Springer. Pp. 134-141.
    Real-time data processing has become an increasingly important challenge as the need for faster analysis of big data widely manifests itself. In this research, several methods of Computational Intelligence have been applied ...
  • An application of genetic algorithms to chemotherapy treatment. 

    Petrovski, Andrei (Robert Gordon University School of Computing Science & Digital Media, 1998-12)
    The present work investigates methods for optimising cancer chemotherapy within the bounds of clinical acceptability and making this optimisation easily accessible to oncologists. Clinical oncologists wish to be able to ...
  • 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. ...
  • Automated inferential measurement system for traffic surveillance: enhancing situation awareness of UAVs by computational intelligence. 

    Rattadilok, Prapa; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/CICA.2014.7013256, 2014-12)
    RATTADILOK, P. and PETROVSKI, A., 2014. Automated inferential measurement system for traffic surveillance: enhancing situation awareness of UAVs by computational intelligence. In: Proceedings of IEEE Symposium on Computational Intelligence in Control and Automation (CICA) 2014. 9-12 December 2014. Piscataway, NJ: IEEE. Pp. pp. 229-236.
    An adaptive inferential measurement framework for control and automation systems has been proposed in the paper and tested on simulated traffic surveillance data. The use of the framework enables making inferences related ...
  • Clustering and nearest neighbour based classification approach for mobile activity recognition. 

    Bashir, Sulaimon A.; Doolan, Daniel C.; Petrovski, Andrei (Rinton Press http://www.rintonpress.com/xjmm12/jmm-12-12/110-124.pdf, 2016-04-08)
    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 100-124. Available from: http://www.rintonpress.com/xjmm12/jmm-12-12/110-124.pdf
    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 ...
  • ClusterNN: A hybrid classification approach to mobile activity recognition. 

    Bashir, Sulaimon A.; Doolan, Daniel C.; Petrovski, Andrei (ACM https://doi.org/10.1145/2837126.2837140, 2015-12-11)
    BASHIR, S., DOOLAN, D. and PETROVSKI, A. 2015. ClusterNN: A hybrid classification approach to mobile activity recognition. In Proceedings of the 13th international conference on advances in mobile computing and multimedia, 11-13 December 2015, Brussels, Belguim. New York: ACM [online], pages 263-267. Available from: http://dx.doi.org/10.1145/2837126.2837140
    Mobile activity recognition from sensor data is based on supervised learning algorithms. Many algorithms have been proposed for this task. One of such algorithms is the K-nearest neighbour (KNN) algorithm. However, since ...
  • Designing a context-aware cyber physical system for detecting security threats in motor vehicles. 

    Petrovski, Andrei; Rattadilok, Prapa; Petrovski, Sergei (Association for Computing Machinery http://dx.doi.org/10.1145/2799979.2800029, 2015-09)
    PETROVSKI, A., RATTADILOK, P. and PETROVSKI, S., 2015. Designing a context-aware cyber physical system for detecting security threats in motor vehicles. In: O. MAKAREVICH, L. BABENKO, M. ANIKEEV, R. POET, A. ELCI, M. S. GAUR and M. ORGUN, eds. Proceedings of the 8th International Conference on Security of Information and Networks. 8-10 September 2015. New York: Association for Computing Machinery. Pp. 267-270.
    An adaptive multi-tiered framework, which can be utilised for designing a context-aware cyber physical system is proposed in the paper and is applied within the context of providing data availability by monitoring ...
  • 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 ...
  • The effect of window length on accuracy of smartphone-based activity recognition. 

    Bashir, Sulaimon A.; Doolan, Daniel C.; Petrovski, Andrei (INTERNATIONAL ASSOCIATION OF ENGINEERS http://www.iaeng.org/IJCS/issues_v43/issue_1/IJCS_43_1_15.pdf, 2016-02-29)
    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 ...
  • Evaluating degrees of isolation between tenants enabled by multitenancy patterns for cloud-hosted version control systems (VCS). 

    Ochei, Laud Charles; Petrovski, Andrei; Bass, Julian M. (Infonomics Society http://dx.doi.org/10.20533/ijicr.2042.4655.2015.0075, 2015-09-01)
    OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2015. Evaluating degrees of isolation between tenants enabled by multitenancy patterns for cloud-hosted version control systems (VCS). International journal of intelligent computing research [online], 6(3), pages 601-612. Available from: http://dx.doi.org/10.20533/ijicr.2042.4655.2015.0075
    When implementing multitenancy for cloud-hosted applications, one of the main challenges to overcome is how to enable the required degree of isolation between tenants so that the required performance, resource utilization, ...
  • Evaluating degrees of multitenancy isolation: a case study of cloud-hosted GSD tools. 

    Ochei, Laud Charles; Bass, Julian M.; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/ICCAC.2015.17, 2015-09-21)
    OCHEI, L.C., BASS, J.M. and PETROVSKI, A. 2015. Evaluating degrees of multitenancy isolation: a case study of cloud-hosted GSD tools. In Proceedings of the 2015 international conference on cloud and autonomic computing (ICCAC 2015), 21-25 September 2015, Cambridge, MA, USA. Piscataway, NJ: IEEE [online], pages 101-112. Available from: http://dx.doi.org/10.1109/ICCAC.2015.17
    Multitenancy is an essential cloud computing property where a single instance of an application serves multiple tenants. Multitenancy introduces significant challenges when deploying application components to the cloud due ...
  • Evaluating degrees of tenant isolation in multitenancy patterns: a case study of cloud-hosted version control system (VCS). 

    Ochei, Laud Charles; Petrovski, Andrei; Bass, Julian M. (IEEE http://dx.doi.org/10.1109/i-Society.2015.7366859, 2015-11)
    OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2015. Evaluating degrees of tenant isolation in multitenancy patterns: a case study of cloud-hosted version control system (VCS). In Proceedings of the 2015 international conference on information society (i-Society), 9-11 November 2015, London, UK. Piscataway, NJ: IEEE [online], pages 59-66. Available from: http://dx.doi.org/10.1109/i-Society.2015.7366859
    One of the key concerns of implementing multitenancy (i.e., serving multiple tenants with a single instance of an application) on the cloud is how to enable the required degree of isolation between tenants, so that the ...
  • Implementing the required degree of multitenancy isolation: a case study of cloud-hosted bug tracking system. 

    Ochei, Laud Charles; Petrovski, Andrei; Bass, Julian M. (IEEE https://doi.org/10.1109/SCC.2016.56, 2016-06-27)
    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 the Proceedings of the 13th IEEE international conference on services computing (SCC 2016), 27 June - 2 July 2016, San Francisco, USA. New Jersey: 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 ...
  • Inferential measurements for situation awareness: enhancing traffic surveillance by machine learning. 

    Rattadilok, Prapa; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/CIVEMSA.2013.6617402, 2013-07)
    RATTADILOK, P. and PETROVSKI, A., 2013. Inferential measurements for situation awareness: enhancing traffic surveillance by machine learning. In: Proceedings of the 2013 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA). 15-17 July 2013. Piscataway, NJ: IEEE. Pp. 93 – 98.
    The paper proposes a generic approach to building inferential measurement systems. The large amount of data needed to be acquired and processed by such systems necessitates the use of machine learning techniques. In this ...
  • 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 ...
  • Multi-objective optimisation of cancer chemotherapy using evolutionary algorithms. 

    Petrovski, Andrei; McCall, John (Springer http://dx.doi.org/10.1007/3-540-44719-9, 2001)
    PETROVSKI, A. and MCCALL, J., 2001. Multi-objective optimisation of cancer chemotherapy using evolutionary algorithms. In: ZITZLEF, E., DEB, K., THIELE, L., COELLO, C. and CORNE, D. Evolutionary Multi-criterion Optimization : First International Conference, EMO 2001, Zurich, Switzerland, March 2001 : Proceedings. Berlin: Springer. pp. 531-545.
    The main objectives of cancer treatment in general, and of cancer chemotherapy in particular, are to eradicate the tumour and to prolong the patient survival time. Traditionally, treatments are optimised with only ...
  • Multi-objective particle swarm optimisation: methods and applications. 

    Al Moubayed, Noura (Robert Gordon University School of Computing Science and Digital Media, 2014-02)
    Solving real life optimisation problems is a challenging engineering venture. Since the early days of research on optimisation it was realised that many problems do not simply have one optimisation objective. This led to ...
  • Self-learning data processing framework based on computational intelligence: enhancing autonomous control by machine intelligence. 

    Rattadilok, Prapa; Petrovski, Andrei (IEEE http://dx.doi.org/10.1109/EALS.2014.7009508, 2014-12)
    RATTADILOK, P. and PETROVSKI, A., 2014. Self-learning data processing framework based on computational intelligence: enhancing autonomous control by machine intelligence. In: Proceedings of IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), 2014. 9-12 December 2014. Piscataway, NJ: IEEE. pp. 87-94.
    A generic framework for evolving and autonomously controlled systems has been developed and evaluated in this paper. A three-phase approach aimed at identification, classification of anomalous data and at prediction of its ...
  • Statistical optimisation and tuning of GA factors. 

    Petrovski, Andrei; Brownlee, Alexander Edward Ian; McCall, John (IEEE http://dx.doi.org/10.1109/CEC.2005.1554759, 2005-09)
    PETROVSKI, A., BROWNLEE, A. and MCCALL, J., 2005. Statistical optimisation and tuning of GA factors. In: Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2005), Volume 1. 2-5 September 2005. New York: IEEE. pp. 758-764.
    This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is based on the methods of statistical ...