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Applying acceptance requirements to requirements modeling tools via gamification: a case study on privacy and security. (2020)
Conference Proceeding
PIRAS, L., CALABRESE, F. and GIORGINI, P. 2020. Applying acceptance requirements to requirements modeling tools via gamification: a case study on privacy and security. In Grabis, J. and Bork, D. (eds.) The practice of enterprise modeling: proceedings of 13th International Federation for Information Processing (IFIP) Practice of enterprise modelling working conference 2020 (Poem 2020), 25-27 November 2020, Riga, Latvia. Lecture notes in business information processing, 400. Cham: Springer [online], pages 366-376. Available from: https://doi.org/10.1007/978-3-030-63479-7_25

Requirements elicitation, analysis and modeling are critical activities for software success. However, software systems are increasingly complex, harder to develop due to an ever-growing number of requirements from numerous and heterogeneous stakehol... Read More about Applying acceptance requirements to requirements modeling tools via gamification: a case study on privacy and security..

A homogeneous-heterogeneous ensemble of classifiers. (2020)
Conference Proceeding
LUONG, A.V., VU, T.H., NGUYEN, P.M., VAN PHAM, N., MCCALL, J., LIEW, A.W.-C. and NGUYEN, T.T. 2020. A homogeneous-heterogeneous ensemble of classifiers. In Yang, H., Pasupa, K., Leung, A.C.-S., Kwok, J.T., Chan, J.H. and King, I. (eds.) Neural information processing: proceedings of 27th International conference on neural information processing 2020 (ICONIP 2020), part 5. Communications in computer and information science, 1333. Cham: Springer [online], pages, 251-259. Available from: https://doi.org/10.1007/978-3-030-63823-8_30

In this study, we introduce an ensemble system by combining homogeneous ensemble and heterogeneous ensemble into a single framework. Based on the observation that the projected data is significantly different from the original data as well as each ot... Read More about A homogeneous-heterogeneous ensemble of classifiers..

Toward an ensemble of object detectors. (2020)
Conference Proceeding
DANG, T., NGUYEN, T.T. and MCCALL, J. 2020. Toward an ensemble of object detectors. In Yang, H., Pasupa, K., Leung, A.C.-S., Kwok, J.T., Chan, J.H. and King, I. (eds.) Neural information processing: proceedings of 27th International conference on neural information processing 2020 (ICONIP 2020), part 5. Communications in computer and information science, 1333. Cham: Springer [online], pages, 458-467. Available from: https://doi.org/10.1007/978-3-030-63823-8_53

The field of object detection has witnessed great strides in recent years. With the wave of deep neural networks (DNN), many breakthroughs have achieved for the problems of object detection which previously were thought to be difficult. However, ther... Read More about Toward an ensemble of object detectors..

Computing students learning outcomes in learning by developing action model. (2020)
Conference Proceeding
LINTILÄ, T. and ZARB, M. 2020. Computing students learning outcomes in learning by developing action model. In Gómez Chova, L., López Martínez, A. and Candel Torres, I. (eds.) Proceedings of 13th International conference of education, research and innovation 2020 (ICERI2020), 9-10 November 2020, [virtual conference]. Valencia: IATED [online], pages 1936-1945. Available from: https://doi.org/10.21125/iceri.2020.0477

The purpose of this paper is to present the results of research aimed at finding out the learning outcomes of computing students with a study module implementation based on the Learning by Developing (LbD) Action Model used in Laurea University of Ap... Read More about Computing students learning outcomes in learning by developing action model..

Contextualisation of data flow diagrams for security analysis. (2020)
Conference Proceeding
FAILY, S., SCANDARIATO, R., SHOSTACK, A., SION, L. and KI-ARIES, D. 2020. Contextualisation of data flow diagrams for security analysis. In Eades, H. III and Gadyatskaya, O. (eds.) Graphical models for security: revised selected papers from the proceedings of the 7th International workshop on graphical models for security (GraMSec 2020), 22 June 2020, Boston, USA. Lecture notes in computer science, 12419. Cham: Springer [online], pages 186-197. Available from: https://doi.org/10.1007/978-3-030-62230-5_10

Data flow diagrams (DFDs) are popular for sketching systems for subsequent threat modelling. Their limited semantics make reasoning about them difficult, but enriching them endangers their simplicity and subsequent ease of take up. We present an appr... Read More about Contextualisation of data flow diagrams for security analysis..

Detecting malicious signal manipulation in smart grids using intelligent analysis of contextual data. (2020)
Conference Proceeding
MAJDANI, F., BATIK, L., PETROVSKI, A. and PETROVSKI, S. 2020. Detecting malicious signal manipulation in smart grids using intelligent analysis of contextual data. In Proceedings of the 13th Security of information and networks international conference 2020 (SIN 2020), 4-7 November 2020, Merkez, Turkey. New York: ACM [online], article number 4, pages 1-8. Available from: https://doi.org/10.1145/3433174.3433613

This paper looks at potential vulnerabilities of the Smart Grid energy infrastructure to data injection cyber-attacks and the means of addressing these vulnerabilities through intelligent data analysis. Efforts are being made by multiple groups to pr... Read More about Detecting malicious signal manipulation in smart grids using intelligent analysis of contextual data..

Detection of false command and response injection attacks for cyber physical systems security and resilience. (2020)
Conference Proceeding
EKE, H., PETROVSKI, A. and AHRIZ, H. 2020. Detection of false command and response injection attacks for cyber physical systems security and resilience. In Proceedings of the 13th Security of information and networks international conference 2020 (SIN 2020), 4-7 November 2020, Merkez, Turkey. New York: ACM [online], article number 10, pages 1-8. Available from: https://doi.org/10.1145/3433174.3433615

The operational cyber-physical system (CPS) state, safety and resource availability is impacted by the safety and security measures in place. This paper focused on i) command injection (CI) attack that alters the system behaviour through injection of... Read More about Detection of false command and response injection attacks for cyber physical systems security and resilience..

Potential for Nile red dye-based analysis of microplastics from oceanic samples. (2020)
Conference Proceeding
MICHELARAKI, M., JOSEPH, O., KARNIK, S., DEVALLA, S., MADANAN, K. and PRABHU, R. 2020. Potential for Nile red dye-based analysis of microplastics from oceanic samples. In Proceedings of the 2020 Global OCEANS: Singapore - U.S. Gulf Coast conference (Global OCEANS 2020: Singapore - U.S. Gulf Coast), 5-14 October 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9389207. Available from: https://doi.org/10.1109/IEEECONF38699.2020.9389207

The Global production of plastics has exceeded over 300 million metric tons. Billions of tons of plastic waste that is generated gets accumulated as plastic debris in soil, sediments, oceans and surface water with no obvious strategy to tackle them.... Read More about Potential for Nile red dye-based analysis of microplastics from oceanic samples..

Improving the design approach to developing through-metal communications for use in subsea pipeline robots. (2020)
Conference Proceeding
HEIDARIAN, M., BURGESS, S.J. and PRABHU, R. 2020. Improving the design approach to developing through-metal communications for use in subsea pipeline robots. In Proceedings of the 2020 Global OCEANS: Singapore - U.S. Gulf Coast conference (Global OCEANS 2020: Singapore - U.S. Gulf Coast), 5-14 October 2020, [virtual conference]. Piscataway: IEEE [online], article ID 9389281. Available from: https://doi.org/10.1109/IEEECONF38699.2020.9389281

Vital inspection and repair operations on subsea pipelines usually involve pipe-bore robots, which must be controlled and monitored from outside the pipe. In many situations cables cannot be connected to the in-pipe robot and duplex wireless communic... Read More about Improving the design approach to developing through-metal communications for use in subsea pipeline robots..

Study of the effect of paracetamol binded in polymeric nanoparticles on dafnia magna. (2020)
Conference Proceeding
HAVELKOVA, B., SEHNAL, K., BANAS, D., KEPINSKA, M., RUTTKAY-NEDECKY, B., STANKOVA, M., FERNANDEZ, C., BEKLOVA, M. and KIZEK, R. 2020. Study of the effect of paracetamol binded in polymeric nanoparticles on dafnia magna. In Proceedings of 12th Nanomaterials international conference (NANOCON 2020): research and application, 21-23 October 2020, [virtual conference]. Ostrava: Tanger Ltd [online], pages 318-323. Available from: https://doi.org/10.37904/nanocon.2020.3747

Drugs are important xenobiotics in the environment. Their use increases with the growth of the human population, but also in agricultural primary production. Paracetamol (PAR) is a widely used analgesic and antipyretic and its production is still gro... Read More about Study of the effect of paracetamol binded in polymeric nanoparticles on dafnia magna..

Forecasting meteorological analysis using machine learning algorithms. (2020)
Conference Proceeding
PAVULURI, B.L., VEJENDLA, R.S., JITHENDRA, P., DEEPIKA, T. and BANO, S. 2020. Forecasting meteorological analysis using machine learning algorithms. In Proceedings of the 2020 International conference on smart electronics and communication (ICOSEC 2020), 10-12 September 2020, Trichy, India. Piscataway: IEEE [online], pages 456-461. Available from: https://doi.org/10.1109/ICOSEC49089.2020.9215440

Weather prediction is gaining up ubiquity quickly in the current period of Machine learning and Technologies. It is fundamental to foresee the temperature of the climate for quite a while. Decision trees, K-NN, Random Forest algorithms are an integra... Read More about Forecasting meteorological analysis using machine learning algorithms..

Case-based approach to automated natural language generation for obituaries. (2020)
Conference Proceeding
UPADHYAY, A., MASSIE, S. and CLOGHER, S. 2020. Case-based approach to automated natural language generation for obituaries. In Watson, I. and Weber, R. (eds.) Case-based reasoning research and development: proceedings of the 28th International conference on case-based reasoning research and development (ICCBR 2020), 8-12 June 2020, Salamanca, Spain [virtual conference]. Lecture notes in computer science, 12311. Cham: Springer [online], pages 279-294. Available from: https://doi.org/10.1007/978-3-030-58342-2_18

Automated generation of human readable text from structured information is challenging because grammatical rules are complex making good quality outputs difficult to achieve. Textual Case-Based Reasoning provides one approach in which the text from p... Read More about Case-based approach to automated natural language generation for obituaries..

Learning to compare with few data for personalised human activity recognition. (2020)
Conference Proceeding
WIRATUNGA, N., WIJEKOON, A. and COOPER, K. 2020. Learning to compare with few data for personalised human activity recognition. In Watson, I and Weber, R. (eds.) Case-based reasoning research and development: proceedings of the 28th International conference on case-based reasoning research and development (ICCBR 2020), 8-12 June 2020, Salamanca, Spain [virtual conference]. Lecture notes in computer science, 12311. Cham: Springer [online], pages 3-14. Available from: https://doi.org/10.1007/978-3-030-58342-2_1

Recent advances in meta-learning provides interesting opportunities for CBR research, in similarity learning, case comparison and personalised recommendations. Rather than learning a single model for a specific task, meta-learners adopt a generalist... Read More about Learning to compare with few data for personalised human activity recognition..

Clood CBR: towards microservices oriented case-based reasoning. (2020)
Conference Proceeding
NKISI-ORJI, I., WIRATUNGA, N., PALIHAWADANA, C., RECIO-GARCIA, J.A. and CORSAR, D. 2020. Clood CBR: towards microservices oriented case-based reasoning. In Watson, I and Weber, R. (eds.) Case-based reasoning research and development: proceedings of the 28th International conference on case-based reasoning research and development (ICCBR 2020), 8-12 June 2020, Salamanca, Spain [virtual conference]. Lecture notes in computer science, 12311. Cham: Springer [online], pages 129-143. Available from: https://doi.org/10.1007/978-3-030-58342-2_9

CBR applications have been deployed in a wide range of sectors, from pharmaceuticals; to defence and aerospace to IoT and transportation, to poetry and music generation; for example. However, a majority of these have been built using monolithic archi... Read More about Clood CBR: towards microservices oriented case-based reasoning..

Womenswear well-being warriors: a content analysis of female-targeted activewear brands on Instagram. (2020)
Conference Proceeding
CROSS, K. 2020. Womenswear well-being warriors: a content analysis of female-targeted activewear brands on Instagram. In Palomo-Lovinski, N. (ed.) Proceedings of 22nd International Foundation of Fashion Technology Institutes (IFFTI 2020): between individual and society: social justice through fashion paper and creative practice presentations, 24-27 March 2020, [virtual conference]. Kent, OH: Kent State University [online]. Available from: https://oaks.kent.edu/iffti2020/iffti-2020-between-individual-and-society-community/womenswear-well-being-warriors

In contemporary Western society, people are increasingly focused on well-being, with national well-being statistics reported by numerous developed economies. Wellness is now a consumer mindset, which has gone beyond a trend and become a lifestyle, de... Read More about Womenswear well-being warriors: a content analysis of female-targeted activewear brands on Instagram..

Comparative run-time performance of evolutionary algorithms on multi-objective interpolated continuous optimisation problems. (2020)
Conference Proceeding
ZAVOIANU, A.-C., LACROIX, B. and MCCALL, J. 2020. Comparative run-time performance of evolutionary algorithms on multi-objective interpolated continuous optimisation problems. In Bäck, T., Preuss, M., Deutz, A., Wang, H., Doerr, C., Emmerich, M. and Trautmann, H. (eds.) Parallel problem solving from nature: PPSN XVI: proceedings of the 16th Parallel problem solving from nature international conference (PPSN 2020), 5-9 September 2020, Leiden, The Netherlands. Lecture notes in computer science, 12269. Cham; Springer, part 1, pages 287-300. Available from: https://doi.org/10.1007/978-3-030-58112-1_20

We propose a new class of multi-objective benchmark problems on which we analyse the performance of four well established multi-objective evolutionary algorithms (MOEAs) – each implementing a different search paradigm – by comparing run-time converge... Read More about Comparative run-time performance of evolutionary algorithms on multi-objective interpolated continuous optimisation problems..

Assessing the clinicians’ pathway to embed artificial intelligence for assisted diagnostics of fracture detection. (2020)
Conference Proceeding
MORENO-GARCÍA, C.F., DANG, T., MARTIN, K., PATEL, M., THOMPSON, A., LEISHMAN, L. and WIRATUNGA, N. 2020. Assessing the clinicians’ pathway to embed artificial intelligence for assisted diagnostics of fracture detection. In Bach, K., Bunescu, R., Marling, C. and Wiratunga, N. (eds.) Knowledge discovery in healthcare data 2020: proceedings of the 5th Knowledge discovery in healthcare data international workshop 2020 (KDH 2020), co-located with 24th European Artificial intelligence conference (ECAI 2020), 29-30 August 2020, [virtual conference]. CEUR workshop proceedings, 2675. Aachen: CEUR-WS [online], pages 63-70. Available from: http://ceur-ws.org/Vol-2675/paper10.pdf

Fracture detection has been a long-standingparadigm on the medical imaging community. Many algo-rithms and systems have been presented to accurately detectand classify images in terms of the presence and absence offractures in different parts of the... Read More about Assessing the clinicians’ pathway to embed artificial intelligence for assisted diagnostics of fracture detection..

Investigations of hollow-core photonic crystal fibres (HC-PCF) for trace explosive vapour detection. (2020)
Conference Proceeding
JOHNY, J., KARNIK, S. and PRABHU, R. 2020. Investigations of hollow-core photonic crystal fibres (HC-PCF) for trace explosive vapour detection. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Proceedings of the 4th Counterterrorism, crime fighting, forensics, and surveillance technologies conference 2020, co-located with the Society of Photo-Optical Instrumentation Engineers (SPIE) Security and defence 2020 conference, 21-25 September 2020, [virtual conference]. Proceedings of the SPIE, 11542. Bellingham, WA: SPIE [online], article ID 115420Q. Available from: https://doi.org/10.1117/12.2574356

Trace detection and identification of hazardous volatile explosives has been a key challenge to the scientific community past many decades. Commercially available various analytical and spectroscopic techniques suffer from low sensitivity, swabbing o... Read More about Investigations of hollow-core photonic crystal fibres (HC-PCF) for trace explosive vapour detection..

Smart contracts for decentralised building information modelling. (2020)
Conference Proceeding
DOUNAS, T., JABI, W. and LOMBARDI, D. 2020. Smart contracts for decentralised building information modelling. In Köering, D. and Werner, L.C. (eds.) Proceedings of 38th Education and research in computer aided architectural design in Europe (eCAADe) conference 2020 (eCAADe 2020): anthropologic: architecture and fabrication in the cognitive age, 16-17 September 2020, [virtual conference]. Berlin: eCAADe, volume 2, pages 565-574. Hosted on CumInCAD [online]. Available from: http://papers.cumincad.org/cgi-bin/works/paper/ecaade2020_190

The paper presents a model for decentralizing building information modelling, through implementing its infrastructure using the decentralized web. We discuss the shortcomings of BIM in terms of its infrastructure, with a focus on tracing identities o... Read More about Smart contracts for decentralised building information modelling..

DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance. (2020)
Conference Proceeding
PIRAS, L., AL-OBEIDALLAH, M.G., PAVLIDIS, M., MOURATIDIS, H., TSOHOU, A., MAGKOS, E., PRAITANO, A., IODICE, A. and CRESPO, B. G.-N. 2020. DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance. In Gritzalis, S., Weippl, E.R., Kotsis, G., Tjoa, A.M. and Khalil, I. (eds.) Trust, privacy and security in digital business: proceedings of 17th Trust and privacy in digital business international conference 2020 (TrustBus 2020), 14-17 September 2020, Bratislava, Slovakia. Lecture notes in computer science, 12395. Cham: Springer [online], pages 186-201. Available from: https://doi.org/10.1007/978-3-030-58986-8_13

The introduction of the European General Data Protection Regulation (GDPR) has brought significant benefits to citizens, but it has also created challenges for organisations, which are facing with difficulties interpreting it and properly applying it... Read More about DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance..