All Outputs (1027)

Introducing the dynamic customer location-allocation problem. (2019)
Conference Proceeding
ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A. and CONWAY, A. 2019. Introducing the dynamic customer location-allocation problem. In Proceedings of the 2019 Institute of Electrical and Electronics Engineers (IEEE) Congress on evolutionary computation (IEEE CEC 2019), 10-13 June 2019, Wellington, NZ. Piscataway: IEEE [online], pages 3157-3164. Available from: https://doi.org/10.1109/CEC.2019.8790150

In this paper, we introduce a new stochastic Location-Allocation Problem which assumes the movement of customers over time. We call this new problem Dynamic Customer Location-Allocation Problem (DC-LAP). The problem is based on the idea that customer... Read More about Introducing the dynamic customer location-allocation problem..

Comparative analysis of two asynchronous parallelization variants for a multi-objective coevolutionary solver. (2019)
Conference Proceeding
ZAVOIANU, A.-C., SAMINGER-PLATZ, S. and AMRHEIN, W. 2019. Comparative analysis of two asynchronous parallelization variants for a multi-objective coevolutionary solver. In Proceedings of the 2019 Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation (IEEE CEC 2019), 10-13 June 2019, Wellington, New Zealand. Piscataway: IEEE [online], article number 8790133, pages 3078-3085. Available from: https://doi.org/10.1109/CEC.2019.8790133

We describe and compare two steady state asynchronous parallelization variants for DECMO2++, a recently proposed multi-objective coevolutionary solver that generally displays a robust run-time convergence behavior. The two asynchronous variants were... Read More about Comparative analysis of two asynchronous parallelization variants for a multi-objective coevolutionary solver..

Anomaly detection in network traffic using dynamic graph mining with a sparse autoencoder. (2019)
Conference Proceeding
JIA, G., MILLER, P., HONG, X., KALUTARAGE, H. and BAN, T. 2019. Anomaly detection in network traffic using dynamic graph mining with a sparse autoencoder. In Proceedings of 18th Institution of Electrical and Electronics Engineers (IEEE) international Trust, security and privacy in computing and communications conference, co-located with 13th IEEE international Big data science and engineering conference (TrustCom/BigDataSE), 5-8 August 2019, Rotorua, New Zealand. Piscataway: IEEE [online], pages 458-465. Available from: https://doi.org/10.1109/TrustCom/BigDataSE.2019.00068

Network based attacks on ecommerce websites can have serious economic consequences. Hence, anomaly detection in dynamic network traffic has become an increasingly important research topic in recent years. This paper proposes a novel dynamic Graph and... Read More about Anomaly detection in network traffic using dynamic graph mining with a sparse autoencoder..

DEFeND architecture: a privacy by design platform for GDPR compliance. (2019)
Conference Proceeding
PIRAS, L., AL-OBEIDALLAH, M.G., PRAITANO, A., TSOHOU, A., MOURATIDIS, H., GALLEGO-NICASIO CRESPO, B., BERNARD, J.B., FIORANI, M., MAGKOS, E., SANZ, A.C., PAVLIDIS, M., D'ADDARIO, R. and ZORZINO, G.G. 2019. DEFeND architecture: a privacy by design platform for GDPR compliance. In Gritzalis, S., Weippl, E.R., Katsikas, S.K., Anderst-Kotsis, G., Tjoa, A.M. and Khalil, I. (eds.) Trust, privacy and security in digital business: 16th Trust, privacy and security in digital business international conference 2019 (TrustBus 2019), 26-29 August 2019, Linz, Austria. Lecture notes in computer science, 11711. Cham: Springer [online], pages 78-93. Available from: https://doi.org/10.1007/978-3-030-27813-7_6

The advent of the European General Data Protection Regulation (GDPR) imposes organizations to cope with radical changes concerning user data protection paradigms. GDPR, by promoting a Privacy by Design approach, obliges organizations to drastically c... Read More about DEFeND architecture: a privacy by design platform for GDPR compliance..

What are the barriers and drivers toward BIM adoption in Nigeria? (2019)
Conference Proceeding
HAMMA-ADAMA, M. and KOUIDER, T. 2019. What are the barriers and drivers towards BIM adoption in Nigeria? In Skibniewski, M.J. and Hajdu, M. (eds.) Proceedings of the 2019 Creative construction conference (CCC 2019), 29 June – 2 July 2019, Budapest, Hungary. Budapest: Diamond Congress Ltd [online], pages 529-539. Available from:https://2019.creative-construction-conference.com/downloads/

The ‘digitalization and collaboration’ or Building Information Modelling (BIM) in the construction industry has been gaining momentum in the recent academic engagements. Despite its existence in many industries (i.e. publishing, retailing, financial... Read More about What are the barriers and drivers toward BIM adoption in Nigeria?.

An online variational inference and ensemble based multi-label classifier for data streams. (2019)
Conference Proceeding
NGUYEN, T.T.T., NGUYEN, T.T., LIEW, A.W.-C., WANG, S.-L., LIANG, T. and HU, Y. 2019. An online variational inference and ensemble based multi-label classifier for data streams. In Proceedings of 11th International conference on advanced computational intelligence (ICACI 2019), 7-9 June 2019, Guilin, China. Piscataway: IEEE [online], pages 302-307. Available from: https://doi.org/10.1109/ICACI.2019.8778594

Recently, multi-label classification algorithms have been increasingly required by a diversity of applications, such as text categorization, web, and social media mining. In particular, these applications often have streams of data coming continuousl... Read More about An online variational inference and ensemble based multi-label classifier for data streams..

VIP-STB farm: scale-up village to county/province level to support science and technology at backyard (STB) program. (2019)
Conference Proceeding
YAN, Y., ZHAO, S., FANG, Y., LIU, Y., CHEN, Z. and REN, J. 2020. VIP-STB farm: scale-up village to county/province level to support science and technology at backyard (STB) program. In Ren, J., Hussain, A., Zhao, H., Huang, K., Zheng, J., Cai, J., Chen, R. and Xiao, Y. (eds.). 2020. Advances in brain inspired cognitive systems: proceedings of the 10th Brain inspired cognitive systems (BCIS) international conference 2019 (BCIS 2019), 13-14 July 2019, Guangzhou, China. Lecture notes in computer science, 11691. Cham: Springer [online], pages 283-292. Available from: https://doi.org/10.1007/978-3-030-39431-8_27

In this paper, we introduce a new concept in VIP-STB, a funded project through Agri-Tech in China: Newton Network+ (ATCNN), in developing feasible solutions towards scaling-up STB from village level to upper level via some generic models and systems.... Read More about VIP-STB farm: scale-up village to county/province level to support science and technology at backyard (STB) program..

Simultaneous meta-data and meta-classifier selection in multiple classifier system. (2019)
Conference Proceeding
NGUYEN, T.T., LUONG, A.V., NGUYEN, T.M.V., HA, T.S., LIEW, A.W.-C. and MCCALL, J. 2019. Simultaneous meta-data and meta-classifier selection in multiple classifier system. In López-Ibáñez, M. (ed.) Proceedings of the 2019 Genetic and evolutionary computation conference (GECCO ’19), 13-17 July 2019, Prague, Czech Republic. New York: ACM [online], pages 39-46. Available from: https://doi.org/10.1145/3321707.3321770

In ensemble systems, the predictions of base classifiers are aggregated by a combining algorithm (meta-classifier) to achieve better classification accuracy than using a single classifier. Experiments show that the performance of ensembles significan... Read More about Simultaneous meta-data and meta-classifier selection in multiple classifier system..

Limitations of benchmark sets and landscape features for algorithm selection and performance prediction. (2019)
Conference Proceeding
LACROIX, B. and MCCALL, J. 2019. Limitations of benchmark sets and landscape features for algorithm selection and performance prediction. In López-Ibáñe, M. (ed.) Proceedings of the 2019 Genetic and evolutionary computation conference (GECCO 2019) companion, 13-17 July 2019, Prague, Czech Republic. New York: Association for Computing Machinery [online], pages 261-262. Available from: https://doi.org/10.1145/3319619.3322051

Benchmark sets and landscape features are used to test algorithms and to train models to perform algorithm selection or configuration. These approaches are based on the assumption that algorithms have similar performances on problems with similar fea... Read More about Limitations of benchmark sets and landscape features for algorithm selection and performance prediction..

On the definition of dynamic permutation problems under landscape rotation. (2019)
Conference Proceeding
ALZA, J., BARTLETT, M., CEBERIO, J. and MCCALL, J. 2019. On the definition of dynamic permutation problems under landscape rotation. In López-Ibáñez, M. (ed.) Proceedings of the 2019 Genetic and evolutionary computation conference companion (GECCO 2019), 13-17 July 2019, Prague, Czech Republic. New York: ACM [online], pages 1518-1526. Available from: https://doi.org/10.1145/3319619.3326840

Dynamic optimisation problems (DOPs) are optimisation problems that change over time. Typically, DOPs have been defined as a sequence of static problems, and the dynamism has been inserted into existing static problems using different techniques. In... Read More about On the definition of dynamic permutation problems under landscape rotation..

Challenges of delivering a graduate apprenticeship. (2019)
Conference Proceeding
YOUNG, T. and ZARB, M. 2019. Challenges of delivering a graduate apprenticeship. In Proceedings of the 24th Innovation and technology in computer science education annual conference (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], page 327. Available from: https://doi.org/10.1145/3304221.3325566

Graduate Apprenticeship degree programmes look to overcome the segregation of learning and working, by integrating traditional education into the context of the work environment. This poster abstract showcases a number of actions that were put into p... Read More about Challenges of delivering a graduate apprenticeship..

Incorporating on-campus days in a graduate apprenticeship. (2019)
Conference Proceeding
YOUNG, T. and ZARB, M. 2019. Incorporating on-campus days in a graduate apprenticeship. In Proceedings of the 24th Innovation and technology in computer science education annual conference (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], page 328. Available from: https://doi.org/10.1145/3304221.3325567

Graduate Apprenticeships look to overcome the segregation of learning and working by integrating traditional education into the context of the work environment. This poster abstract looks to highlight the importance of peer interactions, specifically... Read More about Incorporating on-campus days in a graduate apprenticeship..

Integrating real-world clients in a project management module. (2019)
Conference Proceeding
ZARB, M., YOUNG, T. and BALLEW, W. 2019. Integrating real-world clients in a project management module. In Proceedings of the 24th Innovation and technology in computer science education annual conference 2019 (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], pages 329. Available from: https://doi.org/10.1145/3304221.3325559

Graduates in CS are required to have a background in project management, but often this is taught as a theoretical module, with little "real-world" relevance. In this poster abstract, a Project Management module has been redeveloped around the idea o... Read More about Integrating real-world clients in a project management module..

Perspectives on the student transition into CS1. (2019)
Conference Proceeding
SIEGEL, A.A., ZARB, M., GLASSEY, R. and HUGHES, J. 2019. Perspectives on the student transition into CS1. In Proceedings of the 24th Innovation and technology in computer science education annual conference 2019 (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], pages 168-169. Available from: https://doi.org/10.1145/3304221.3325540

As students transition into higher education, their experience can be quite new and foreign to them. This experience, while an individual one, consists of many concerns that are shared amongst these transitioning students. Partly as a result of these... Read More about Perspectives on the student transition into CS1..

Laughter over dread: early collaborative problem solving through an extended induction using robots. (2019)
Conference Proceeding
ZARB, M. and SCOTT, M. 2019. Laughter over dread: early collaborative problem solving through an extended induction using robots. In Proceedings of the 24th Innovation and technology in computer science education annual conference 2019 (ITiCSE 2019), 15-17 July 2019, Aberdeen, UK. New York: ACM Press [online], pages 249-250. Available from: https://doi.org/10.1145/3304221.3325548

Software development companies want new hires with strong interpersonal and problem solving skills. To ensure the development of such skills, they must be embedded throughout the curriculum. However, many students struggle to collaborate with peers a... Read More about Laughter over dread: early collaborative problem solving through an extended induction using robots..

Machine autonomy: definition, approaches, challenges and research gaps. (2019)
Conference Proceeding
EZENKWU, C.P. and STARKEY, A. 2019. Machine autonomy: definition, approaches, challenges and research gaps. In Arai, K., Bhatia, R. and Kapoor, S. (eds.) Intelligent computing: proceedings of the 2019 Computing conference, 16-17 July 2019, London, UK. Advances in intelligent systems and computing, 997. Cham: Springer [online], volume 1, pages 335-358. Available from: https://doi.org/10.1007/978-3-030-22871-2

The processes that constitute the designs and implementations of AI systems such as self-driving cars, factory robots and so on have been mostly hand-engineered in the sense that the designers aim at giving the robots adequate knowledge of its world.... Read More about Machine autonomy: definition, approaches, challenges and research gaps..

Coal bed methane development in Indonesia: the economics of the stakeholders' perspective. (2019)
Conference Proceeding
SUMARNO, T.B., BERGMANN, A., DOW, S. and HEFFRON, R.J. 2019. Coal bed methane development in Indonesia: the economics of the stakeholders' perspective. In Proceedings of the 42nd International Association for Energy Economics international conference 2022 (IAEE 2019): local energy, global market, Montreal, Canada. Cleveland: IAEE [online]. Available from: https://www.iaee.org/proceedings/article/16305

The Government of Indonesia (GoI) initiated a study on Coal Bed Methane (CBM) resources in 2002 through its oil and gas research institution called Lemigas. This contributed to the first CBM project starting in 2008 by PT Medco CBM Sekayu, in South S... Read More about Coal bed methane development in Indonesia: the economics of the stakeholders' perspective..

Developing accessible services: understanding current knowledge and areas for future support. (2019)
Conference Proceeding
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], paper 216. Available from: https://doi.6org/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. However, little is known about... Read More about Developing accessible services: understanding current knowledge and areas for future support..

Implementing GDPR in the Charity Sector: A Case Study (2019)
Conference Proceeding
HENRIKSEN-BULMER, J., FAILY, S. and JEARY, S. 2019. Implementing GDPR in the charity sector: a case study. In Kosta, E., Pierson, J., Slamanig, D., Fischer-Hübner, S. and Krenn, S. (eds.) Privacy and identity management: fairness, accountability and transparency in the age of Big Data: revised selected papers from the 13th International Federation for Information Processing Working Groups 9.2, 9.6/11.7, 11.6, Special Interest Group 9.2.2 international summer school (IFIP Summer School 2018), 20-24 August 2018, Vienna, Austria. IFIP advances in information and communication technology, 547. Cham: Springer [online], pages 173-188. Available from: https://doi.org/10.1007/978-3-030-16744-8_12

Due to their organisational characteristics, many charities are poorly prepared for the General Data Protection Regulation (GDPR). We present an exemplar process for implementing GDPR and the DPIA Data Wheel, a DPIA framework devised as part of the c... Read More about Implementing GDPR in the Charity Sector: A Case Study.

Blockchain grammars: designing with DAOS. (2019)
Conference Proceeding
DOUNAS, T. and LOMBARDI, D. 2019. Blockchain grammars: designing with DAOS. In Haeusler, M.H., Schnabel, M.A. and Fukuda, T. (eds.) Intelligent and informed: proceedings of the 24th International conference on computer-aided architectural design research in Asia (CAADRIA 2019), 15-18 April 2019, Wellington: New Zealand. Hong Kong: CumInCAD [online], Volume 2, pages 293-302. Available from: http://papers.cumincad.org/data/works/att/caadria2019_647.pdf

This paper presents an application of Decentralised Autonomous Organisation (DAO) in the field of design and AEC industry. The model is applied in the realm of shape grammar proposing the possibility of allowing multiple grammarists to collaborate in... Read More about Blockchain grammars: designing with DAOS..