All Outputs (85)

FITsense: employing multi-modal sensors in smart homes to predict falls. (2018)
Conference Proceeding
MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. 2018. FITsense: employing multi-modal sensors in smart homes to predict falls. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 249-263. Available from: https://doi.org/10.1007/978-3-030-01081-2_17

As people live longer, the increasing average age of the population places additional strains on our health and social services. There are widely recognised benefits to both the individual and society from supporting people to live independently for... Read More about FITsense: employing multi-modal sensors in smart homes to predict falls..

Case based reasoning as a model for cognitive artificial intelligence. (2018)
Conference Proceeding
CRAW, S. and AAMODT, A. 2018. Case based reasoning as a model for cognitive artificial intelligence. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 62-77. Available from: https://doi.org/10.1007/978-3-030-01081-2_5

Cognitive Systems understand the world through learning and experience. Case Based Reasoning (CBR) systems naturally capture knowledge as experiences in memory and they are able to learn new experiences to retain in their memory. CBR's retrieve and r... Read More about Case based reasoning as a model for cognitive artificial intelligence..

Personalised human activity recognition using matching networks. (2018)
Conference Proceeding
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Personalised human activity recognition using matching networks. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 339-353. Available from: https://doi.org/10.1007/978-3-030-01081-2_23

Human Activity Recognition (HAR) is typically modelled as a classification task where sensor data associated with activity labels are used to train a classifier to recognise future occurrences of these activities. An important consideration when trai... Read More about Personalised human activity recognition using matching networks..

Improving kNN for human activity recognition with privileged learning using translation models. (2018)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N., SANI, S., MASSIE, S. and COOPER, K. 2018. Improving kNN for human activity recognition with privileged learning using translation models. In Cox, M.T., Funk, P. and Begum, S. (eds.) Case-based reasoning research and development: proceedings of the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Lecture notes in computer science, 11156. Cham: Springer [online], pages 448-463. Available from: https://doi.org/10.1007/978-3-030-01081-2_30

Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is preferred by consumers as it is more convenient and less intrusive. This presents a challenge to researchers, as... Read More about Improving kNN for human activity recognition with privileged learning using translation models..

Feasibility analysis of unique ID (UID) generation for personal authentication of valuable documents using dorsal hand vein pattern. (2018)
Conference Proceeding
AMBADIYIL, S., JAYARAIAN, R., PILLAI, V.P.M. and PRABHU, R. 2018. Feasibility analysis of unique ID (UID) generation for personal authentication of valuable documents using dorsal hand vein pattern. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Proceedings of the 2nd Counterterrorism, crime fighting, forensics and surveillance technologies 2018 conference: co-located with the Society of Photo-optical Instrumentation Engineers (SPIE) Security and defence conference 2018, 10-13 September 2018, Berlin, Germany. Proceedings of the SPIE, 10802. Bellingham, WA: SPIE [online], article ID 108020H. Available from: https://doi.org/10.1117/12.2325346

Reliable personal authentication is a critical and vital obligation to the security in all the real-world applications. Nevertheless, biometric features are effectively used for the personal authentication, in some cases the criminal impersonation is... Read More about Feasibility analysis of unique ID (UID) generation for personal authentication of valuable documents using dorsal hand vein pattern..

Waveguide-based machine readable fluorescence security feature for border control and security applications. (2018)
Conference Proceeding
JOHNY, J., BHAVSAR, K., OFFICER, S., ADAMS, M., PRABHU, R. 2018. Waveguide-based machine readable fluorescence security feature for border control and security applications. In Bouma, H., Prabhu, R., Stokes, R.J. and Yitzhaky, Y. (eds.) Proceedings of the 2nd Counterterrorism, crime fighting, forensics and surveillance technologies 2018 conference: co-located with the Society of Photo-optical Instrumentation Engineers (SPIE) Security and defence conference 2018, 10-13 September 2018, Berlin, Germany. Proceedings of the (SPIE), 10802. Bellingham, WA: SPIE [online], article ID 1080209. Available from: https://doi.org/10.1117/12.2501974

Border security challenges and immigration issues are increasing considerably in recent years. Counterfeiting and fraudulent use of identity and other travel documents are posing serious threats and safety concerns worldwide, ever since the advanceme... Read More about Waveguide-based machine readable fluorescence security feature for border control and security applications..

Deep Learning Based Single Image Super-Resolution: A Survey (2018)
Conference Proceeding
HA, V.K., REN, J., XU, X., ZHAO, S. XIE, G. and VARGAS, V.M. 2018. Deep learning based single image super-resolution: a survey. In Ren, J., Hussain, A., Zheng, J., Liu, C.-L., Luo, B., Zhao, H. and Zhao, X. (eds.) Advances in brain inspired cognitive systems: proceedings of 9th International conference brain inspired cognitive systems 2018 (BICS 2018), 7-8 July 2018, Xi'an, China. Lecture notes in computer sciences, 10989. Cham: Springer [online], pages 106-119. Available from: https://doi.org/10.1007/978-3-030-00563-4_11

Image super-resolution is a process of obtaining one or more high-resolution image from single or multiple samples of low-resolution images. Due to its wide applications, a number of different techniques have been developed recently, including interp... Read More about Deep Learning Based Single Image Super-Resolution: A Survey.

Making industrial robots smarter with adaptive reasoning and autonomous thinking for real-time tasks in dynamic environments: a case study. (2018)
Conference Proceeding
ZABALZA, J., FEI, Z., WONG, C., YAN, Y., MINEO, C., YANG, E., RODDEN, T., MEHNEN, J., PHAM, Q.-C. and REN, J. 2018. Making industrial robots smarter with adaptive reasoning and autonomous thinking for real-time tasks in dynamic environments: a case study. In Ren, J., Hussain, A., Zheng, J., Liu, C.-L., Lou, B., Zhao, H. and Zhao, X. (eds.) Advances in brain inspired cognitive systems: proceedings of 9th International conference on Brain inspired cognitive system 2018 (BICS2018), 7-8 July 2018, Xi'an, China. Lecture notes in computer science, 10989. Cham: Springer [online], pages 790-800. Available from: https://doi.org/10.1007/978-3-030-00563-4_77

In order to extend the abilities of current robots in industrial applications towards more autonomous and flexible manufacturing, this work presents an integrated system comprising real-time sensing, path-planning and control of industrial robots to... Read More about Making industrial robots smarter with adaptive reasoning and autonomous thinking for real-time tasks in dynamic environments: a case study..

An analysis of indirect optimisation strategies for scheduling. (2018)
Conference Proceeding
NEAU, C., REGNIER-COUDERT, O. and MCCALL, J. 2018. An analysis of indirect optimisation strategies for scheduling. In Proceedings of Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation (IEEE CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article ID 8477967. Available from: https://doi.org/10.1109/CEC.2018.8477967

By incorporating domain knowledge, simple greedy procedures can be defined to generate reasonably good solutions to many optimisation problems. However, such solutions are unlikely to be optimal and their quality often depends on the way the decision... Read More about An analysis of indirect optimisation strategies for scheduling..

Tactical plan optimisation for large multi-skilled workforces using a bi-level model. (2018)
Conference Proceeding
AINSLIE, R., MCCALL, J., SHAKYA, S. and OWUSU, G. 2018. Tactical plan optimisation for large multi-skilled workforces using a bi-level model. In Proceedings of Institute of Electrical and Electronics Engineers (IEEE) congress on evolutionary computation (IEEE CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article ID 8477701. Available from: https://doi.org/10.1109/CEC.2018.8477701

The service chain planning process is a critical component in the operations of companies in the service industry, such as logistics, telecoms or utilities. This process involves looking ahead over various timescales to ensure that available capacity... Read More about Tactical plan optimisation for large multi-skilled workforces using a bi-level model..

Effect of manufacturing method of a centrifugal fan hub on its heat dissipation characteristics. (2018)
Conference Proceeding
SWINTON, J., ESHAAFI, T., ASIM, T., IRONS, J. and MISHRA, R. 2017. Effect of manufacturing method of a centrifugal fan hub on its heat dissipation characteristics. In Sherrington, I., Onsy, A., Brooks, H., George, J. and Rao, R. (eds.) Proceedings of the 30th International conference on condition monitoring and diagnostic engineering management (COMADEM 2017), 10-13 July 2017, Preston, UK. Preston: University of Central Lancashire [online], pages 355-360. Available from: http://clok.uclan.ac.uk/24444/

As the process temperature of a fan system increases, the amount of heat that gets transmitted to the bearings and/or motor increases. If this is not accounted for, it can lead to catastrophic failure. The main heat conduction path is through the sha... Read More about Effect of manufacturing method of a centrifugal fan hub on its heat dissipation characteristics..

A CAD-blockchain integration strategy for distributed validated digital design: connecting the blockchain. (2018)
Conference Proceeding
DOUNAS, T. and LOMBARDI, D. 2018. A CAD-blockchain integration strategy for distributed validated digital design. In Kępczyńska-Walczak, A. and Bialkowski, S. (eds.) Computing for a better tomorrow: proceedings of the 36th International conference on Education and research in computer aided architectural design in Europe (eCAADe 2018), 19-21 September 2018, Lodz, Poland. Hong Kong: CumInCAD [online], Volume 1, pages 223-230. Available from: http://papers.cumincad.org/cgi-bin/works/paper/ecaade2018_226

We present a proof of concept implementation of an integration strategy for connecting CAD with Blockchain. We explain the components of most blockchains and the value they bring to the built environment ecosystem, the potential impact a complete int... Read More about A CAD-blockchain integration strategy for distributed validated digital design: connecting the blockchain..

SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks (2018)
Conference Proceeding
SARKER, M.M.K., RASHWAN, H.A., AKRAM, F., BANU, S.F., SALEH, A., SINGH, V.K., CHOWDHURY, F.U.H., ABDULWAHAB, S., ROMANI, S., RADEVA, P. and PUIG, D. 2018. SLSDeep: skin lesion segmentation based on dilated residual and pyramid pooling networks. In Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-López, C. and Fictinger, G. (eds.) Medical image computing and computer assisted intervention (MICCAI 2018): proceedings of 21st international conference on Medical image computing and computer assisted interventions 2018 (MICCAI 2018), 16-20 September 2018, Granada, Spain. Lecture notes in computer science, 11071. Cham: Springer [online], pages 21-29. Available from: https://doi.org/10.1007/978-3-030-00934-2_3

Skin lesion segmentation (SLS) in dermoscopic images is a crucial task for automated diagnosis of melanoma. In this paper, we present a robust deep learning SLS model represented as an encoder-decoder network. The encoder network is constructed by di... Read More about SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks.

Conditional generative adversarial and convolutional networks for X-ray breast mass segmentation and shape classification. (2018)
Conference Proceeding
SINGH, V.K., ROMANI, S., RASHWAN, H.A., AKRAM, F., PANDEY, N., SARKER, M.M.K., ABDULWAHAB, S., TORRENTS-BARRENA, J., SALEH, A., ARQUEZ, M., ARENAS, M. and PUIG, D. 2018. Conditional generative adversarial and convolutional networks for X-ray breast mass segmentation and shape classification. In Frangi, A.F., Schnabel, J.A., Davatzikos, C., Alberola-López, C. and Fictinger, G. (eds.) Medical image computing and computer assisted intervention (MICCAI 2018): proceedings of 21st international conference on Medical image computing and computer assisted interventions 2018 (MICCAI 2018), 16-20 September 2018, Granada, Spain. Lecture notes in computer science, 11071. Cham: Springer [online], pages 833-840. Available from: https://doi.org/10.1007/978-3-030-00934-2_92

This paper proposes a novel approach based on conditional Generative Adversarial Networks (cGAN) for breast mass segmentation in mammography. We hypothesized that the cGAN structure is well-suited to accurately outline the mass area, especially when... Read More about Conditional generative adversarial and convolutional networks for X-ray breast mass segmentation and shape classification..

The NHS health check for developing HFE competencies. (2018)
Conference Proceeding
VOSPER, H., BOWIE, P. and HIGNETT, S. 2018. The NHS health check for developing HFE competencies. In Charles, R. and Wilkinson, J. (eds.) Contemporary ergonomics and human factors 2018: proceedings of the Ergonomic and human factors conference 2018 (EHF 2018), 23-25 April 2018, Birmingham, UK. Birmingham: Chartered Institute of Ergonomics and Human Factors [online], pages 31-37. Available from: https://publications.ergonomics.org.uk/publications/the-nhs-health-check-for-developing-hfe-competencies.html

Patient safety is an emergent property of complex sociotechnical healthcare systems. Human Factors and Ergonomics (HFE), with its design-based systems focus, offers frameworks for developing resilient systems, although use in healthcare has been limi... Read More about The NHS health check for developing HFE competencies..

Design method for nonimaging solar photovoltaic concentrators using genetic algorithms. (2018)
Conference Proceeding
FREIER, D., RAMIREZ-INIGUEZ, R., MUHAMMAD-SUKKI, F. and GAMIO, C. 2018. Design method for nonimaging solar photovoltaic concentrators using genetic algorithms. In Steiner, M., Anton, I. and Steiner, M. (eds.) Proceedings of the 14th International conference on concentrator photovoltaic systems (CPV-14), 16-18 April 2018, Puertollano, Spain. Melville, NY: AIP Publishing [online], volume 2012, article number 030006. Available from: https://doi.org/10.1063/1.5053505

Off-grid solar chargers are one of the ways forward to achieve universal access to affordable, reliable, sustainable and modern electricity. To achieve this goal, the sustainability aspect of the solar chargers must be further improved. Nonimaging, s... Read More about Design method for nonimaging solar photovoltaic concentrators using genetic algorithms..

Modelling multiphase flow in vertical pipe using CFD method. (2018)
Conference Proceeding
ALAITA, D., HOSSAIN, M. and ISLAM, S.Z. 2018. Modelling multiphase flow in vertical pipe using CFD method. In Wahab, M.A. (ed.) Proceedings of the 1st International conference on numerical modelling in engineering (NME 2018), 28-29 August 2018, Ghent, Belgium. Volume 2: numerical modelling in mechanical and materials engineering. Lecture notes in mechanical engineering. Singapore: Springer [online], pages 300-319. Available from: https://doi.org/10.1007/978-981-13-2273-0_24

Investigations of gas-liquid-solid flows in large diameter vertical pipes are scarce and detailed three phase flow study is still required to understand the flow interactions. Further investigation using high fidelity modelling is thus necessary due... Read More about Modelling multiphase flow in vertical pipe using CFD method..

Numerical investigation of two-phase flow induced local fluctuations and interactions of flow properties through elbow. (2018)
Conference Proceeding
CHINENYE-KANU, N.M., HOSSAIN, M., DROUBI, M.G. and ISLAM, S.Z. 2018. Numerical investigation of two-phase flow induced local fluctuations and interactions of flow properties through elbow. In Wahab, M.A. (ed.) Proceedings of the 1st International conference on numerical modelling in engineering (NME 2018), 28-29 August 2018, Ghent, Belgium. Volume 2: numerical modelling in mechanical and materials engineering. Lecture notes in mechanical engineering. Singapore: Springer [online], pages 124-141. Available from: https://doi.org/10.1007/978-981-13-2273-0_11

The local interactions and fluctuations of multiphase flow properties present in upward slug/churn flow patterns through a 900 pipe bend has been investigated. Numerical modelling technique using the Volume of Fluid method (VOF) and Reynolds Average... Read More about Numerical investigation of two-phase flow induced local fluctuations and interactions of flow properties through elbow..

CFD modelling of pipe erosion due to sand transport. (2018)
Conference Proceeding
OGUNSESAN, O.A., HOSSAIN, M., IYI, D. and DHROUBI, M.G. 2018. CFD modelling of pipe erosion due to sand transport. In Wahab, M.A. (ed.) Proceedings of the 1st International conference on numerical modelling in engineering (NME 2018), 28-29 August 2018, Ghent, Belgium. Volume 2: numerical modelling in mechanical and materials engineering. Lecture notes in mechanical engineering. Singapore: Springer [online], pages 274-289. Available from: https://doi.org/10.1007/978-981-13-2273-0_22

Erosion caused by sand particles is a serious problem facing the oil and gas industry. Predicting pipe erosion due to sand transport is a complex process in multiphase flows due to the complex nature of the flow. Existing erosion studies are however... Read More about CFD modelling of pipe erosion due to sand transport..

Redesigning an undergraduate software engineering course for a large cohort. (2018)
Conference Proceeding
IACOB, C. and FAILY, S. 2018. Redesigning an undergraduate software engineering course for a large cohort. In Proceedings of the 40th ACM/IEEE international conference on software engineering: software engineering education and training (ICSE-SEET 2018), 27 May - 3 June 2018, Gothenburg, Sweden. New York: ACM [online], pages 163-171. Available from: https://doi.org/10.1145/3183377.3183381

Teaching Software Engineering on an undergraduate programme is challenging, particularly when dealing with large numbers of students. On one hand, a strong understanding of software and good programming skills are prerequisites. On the other hand, th... Read More about Redesigning an undergraduate software engineering course for a large cohort..