Skip to main content

Research Repository

Advanced Search

Sand failure: effect of biocide on the geomechanical properties of outcrop carbonate rock under static conditions. (2018)
Conference Proceeding
WUYEP, E., OLUYEMI, G., YATES, K. and AKISANYA, A. 2019. Sand failure: effect of biocide on the geomechanical properties of outcrop carbonate rock under static conditions. In Kallel A., Erguler, Z.A., Cui, Z.-D., Karrech, A., Karakus, M., Kulatilake, P. and Shukla, S.K. (eds.) Recent advances in geo-environmental engineering, geomechanics and geotechnics, and geohazards: proceedings of the 1st Springer conference of the Arabian Journal of Geosciences (CAJG-1), 12-15 November 2018, Hammamet, Tunisia. Advances in science, technology and innovation: IEREK interdisciplinary series for sustainable development. Cham: Springer [online], pages 183-185. Available from: https://doi.org/10.1007/978-3-030-01665-4_43

The effects of chemical interaction of a biocide with formation rocks on the rock geomechanical strength were examined. A combination of analytical tests (Scanning Electron Microscopy/Energy-Dispersive X-Ray Analysis-SEM/EDX, X-Ray Powder Diffraction... Read More about Sand failure: effect of biocide on the geomechanical properties of outcrop carbonate rock under static conditions..

Generalized small-signal modelling of dual active bridge DC/DC converter. (2018)
Conference Proceeding
HEBALA, O.M., ABOUSHADY, A.A., AHMED, K.H., BURGESS, S. and PRABHU, R. 2018. Generalized small-signal modelling of dual active bridge DC/DC converter. In Proceedings of the 7th International conference on renewable energy research and applications (ICRERA 2018), 14-17 October 2018, Paris, France. Piscataway: IEEE [online], article ID 8567014, pages 914-919. Available from: https://doi.org/10.1109/ICRERA.2018.8567014

This paper presents a novel generalised approach of the small-signal modelling of dual active bridge (DAB) DC/DC converter. The adopted analysis is based on a per-unit fundamental frequency representation of the DAB. The outcome of the proposed model... Read More about Generalized small-signal modelling of dual active bridge DC/DC converter..

A holistic metric approach to solving the dynamic location-allocation problem. (2018)
Conference Proceeding
ANKRAH, R., LACROIX, B., MCCALL, J., HARDWICK, A. and CONWAY, A. 2018. A holistic metric approach to solving the dynamic location-allocation problem. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) International conference on innovative techniques and applications of artificial intelligence (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 433-439. Available from: https://doi.org/10.1007/978-3-030-04191-5_35

In this paper, we introduce a dynamic variant of the Location-Allocation problem: Dynamic Location-Allocation Problem (DULAP). DULAP involves the location of facilities to service a set of customer demands over a defined horizon. To evaluate a soluti... Read More about A holistic metric approach to solving the dynamic location-allocation problem..

Context extraction for aspect-based sentiment analytics: combining syntactic, lexical and sentiment knowledge. (2018)
Conference Proceeding
BANDHAKAVI, A., WIRATUNGA, N., MASSIE, S. and LUHAR, R. 2018. Context extraction for aspect-based sentiment analytics: combining syntactic, lexical and sentiment knowledge. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence xxxv: proceedings of the 38th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) International conference on innovative techniques and applications of artificial intelligence (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in artificial intelligence, 11311. Cham: Springer [online], pages 357-371. Available from: https://doi.org/10.1007/978-3-030-04191-5_30

Aspect-level sentiment analysis of customer feedback data when done accurately can be leveraged to understand strong and weak performance points of businesses and services and also formulate critical action steps to improve their performance. In this... Read More about Context extraction for aspect-based sentiment analytics: combining syntactic, lexical and sentiment knowledge..

GramError: a quality metric for machine generated songs. (2018)
Conference Proceeding
DAVIES, C., WIRATUNGA, N. and MARTIN, K. 2018. GramError: a quality metric for machine generated songs. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXV: proceedings of the 38th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) International conference on innovative techniques and applications of artificial intelligence (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in computer science, 11311. Cham: Springer [online], pages 184-190. Available from: https://doi.org/10.1007/978-3-030-04191-5_16

This paper explores whether a simple grammar-based metric can accurately predict human opinion of machine-generated song lyrics quality. The proposed metric considers the percentage of words written in natural English and the number of grammatical er... Read More about GramError: a quality metric for machine generated songs..

Risk information recommendation for engineering workers. (2018)
Conference Proceeding
MARTIN, K., LIRET, A., WIRATUNGA, N., OWUSU, G. and KERN, M. 2018. Risk information recommendation for engineering workers. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXV: proceedings of the 38th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) International conference on innovative techniques and applications of artificial intelligence (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in computer science, 11311. Cham: Springer [online], pages 311-325. Available from: https://doi.org/10.1007/978-3-030-04191-5_27

Within any sufficiently expertise-reliant and work-driven domain there is a requirement to understand the similarities between specific work tasks. Though mechanisms to develop similarity models for these areas do exist, in practice they have been cr... Read More about Risk information recommendation for engineering workers..

Informed pair selection for self-paced metric learning in Siamese neural networks. (2018)
Conference Proceeding
MARTIN, K., WIRATUNGA, N., MASSIE, S. and CLOS, J. 2018. Informed pair selection for self-paced metric learning in Siamese neural networks. In Bramer, M. and Petridis, M. (eds.) Artificial intelligence XXXV: proceedings of the 38th British Computer Society's Specialist Group on Artificial Intelligence (SGAI) International conference on innovative techniques and applications of artificial intelligence (AI-2018), 11-13 December 2018, Cambridge, UK. Lecture notes in computer science, 11311. Cham: Springer [online], pages 34-49. Available from: https://doi.org/10.1007/978-3-030-04191-5_3

Siamese Neural Networks (SNNs) are deep metric learners that use paired instance comparisons to learn similarity. The neural feature maps learnt in this way provide useful representations for classification tasks. Learning in SNNs is not reliant on e... Read More about Informed pair selection for self-paced metric learning in Siamese neural networks..

Simulating the annual energy yield of a rotationally asymmetrical optical concentrator. (2018)
Conference Proceeding
FREIER, D., MUHAMMAD-SUKKI, F., ABU-BAKAR, S.H., RAMIREZ-INIGUEZ, R., MUNIR, A.B., YASIN, S.H.M., BANI, N.A., MAS'UD, A.A., ARDILA-REY, J.A., KARIM, M.E. and YUSOFF, Z. 2018. Simulating the annual energy yield of a rotationally asymmetrical optical concentrator. In Proceedings of the 7th IEEE international conference on photonoics (ICP 2018), 9-11 April 2018, Langkawi, Malaysia. Piscataway, NJ: IEEE [online], article ID 8533197. Available from: https://doi.org/10.1109/ICP.2018.8533197

This paper simulates the annual energy yield of a concentrator called the rotationally asymmetrical dielectric totally internally reflective concentrator (RADTIRC). One specific design of the RADTIRC is assumed to be installed in Berlin/Brandenburg,... Read More about Simulating the annual energy yield of a rotationally asymmetrical optical concentrator..

Overlap-based undersampling for improving imbalanced data classification. (2018)
Conference Proceeding
VUTTIPITTAYAMONGKOL, P., ELYAN, E., PETROVSKI, A. and JAYNE, C. 2018. Overlap-based undersampling for improving imbalanced data classification. In Yin, H., Camacho, D., Novais, P. and Tallón-Ballesteros, A. (eds.) Intelligent data engineering and automated learning: proceedings of the 19th International intelligent data engineering and automated learning conference (IDEAL 2018), 21-23 November 2018, Madrid, Spain. Lecture notes in computer science, 11341. Cham: Springer [online], pages 689-697. Available from: https://doi.org/10.1007/978-3-030-03493-1_72

Classification of imbalanced data remains an important field in machine learning. Several methods have been proposed to address the class imbalance problem including data resampling, adaptive learning and cost adjusting algorithms. Data resampling me... Read More about Overlap-based undersampling for improving imbalanced data classification..

A pilot study of malnutrition among elderly in a Malaysia elderly care centre - part I: assessment of handgrip strength measurement. (2018)
Conference Proceeding
BANI, N.A., HASSAN, M.Z., MAD KAIDI, H., HASHIM, N.F.M., DZIYAUDDIN, R.A., MUSA, R., SUHOT, M.A., USMAN, S., MUHAMMAD-SUKKI, F., ABU-BAKAR, S.H. and MAS'UD, A.A. 2018. A pilot study of malnutrition among elderly in a Malaysia elderly care centre - part I: assessment of handgrip strength measurement. In Proceedings of the 2nd International conference on biosignal analysis, processing and systems (ICBAPS), 24-26 July 2018, Kuching, Malaysia. Piscataway, NJ: IEEE [online], pages 119-122. Available from: https://doi.org/ 10.1109/ICBAPS.2018.8527416

The number of elderly population in Malaysia of aged 60 years and above is expected to increase every year. Apart from that, the life expectancy of the elderly population is also estimated to rise up with female tend to live longer than male. These u... Read More about A pilot study of malnutrition among elderly in a Malaysia elderly care centre - part I: assessment of handgrip strength measurement..

Sustainable energy for emerging nations development: a case study on Togo renewable energy. (2018)
Conference Proceeding
KANSONGUE, N., NJUGUNA, J. and VERTIGANS, S. 2018. Sustainable energy for emerging nations development: a case study on Togo renewable energy. In Proceedings of the Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society (PES) and Industrial Applications Society (IAS) PowerAfrica 2018 conference, 26-29 June 2018, Cape Town, South Africa. Piscataway, NJ: IEEE [online], pages 137-141. Available from: https://doi.org/10.1109/PowerAfrica.2018.8521054

This paper explores the need for an appropriate energy delivery, placing emphasis on the role of the indigenous people in developing their future needs. The case study is based on Togo renewable energy sustainability and employs qualitative and quant... Read More about Sustainable energy for emerging nations development: a case study on Togo renewable energy..

A unified global investigation on the spectral effects of soiling losses of PV glass substrates: preliminary results. (2018)
Conference Proceeding
MICHELI, L., FERNÁNDEZ, E.F., SMESTAD, G.P., ALRASHIDI, H., SARMAH, N., SELLAMI, N., HASSAN, I.A.I., KASRY, A., NOFUENTES, G., SOOD, N., PESALA, B., SENTHILARASU, S., ALMONACID, F., REDDY, K.S., MULLER, M. and MALLICK, T.K. 2018. A unified global investigation on the spectral effects of soiling losses of PV glass substrates: preliminary results. In the Proceedings of the 44th Institute of Electrical and Electronics Engineers (IEEE) photovoltaic specialist conference 2017 (2017 IEEE PVSC-44), 25-30 June 2017, Washinghton, USA. Piscataway, NJ: IEEE [online], article ID 8366317. Available from: https://doi.org/10.1109/PVSC.2017.8366317

The present work reports on the initial results of an international collaboration aiming to investigate the spectral effects of soiling losses. Identical glass coupons have been exposed outdoors for eight weeks in different locations worldwide, and w... Read More about A unified global investigation on the spectral effects of soiling losses of PV glass substrates: preliminary results..

Confidence-based underwater localization scheme for large-scale mobile sensor networks. (2018)
Conference Proceeding
SABRA, A., FUNG, W.-K. and RADHAKRISHNA, P. 2018. Confidence-based underwater localization scheme for large-scale mobile sensor networks. In Proceedings of the 2018 Marine Technology Society and Insitutute of Electrical and Electronics Engineers (MTS/IEEE) OCEANS conference (OCEANS 2018 MTS/IEEE), 22-25 October 2018, Charleston, USA. Piscataway, NJ: IEEE [online], article ID 8604878. Available from: https://doi.org/10.1109/OCEANS.2018.8604878

The absence of Global Positioning System in underwater environment predominates in the challenges of underwater vehicles navigation or sensor nodes tracking. Localization of single or few underwater vehicles has been fostered in recent years. However... Read More about Confidence-based underwater localization scheme for large-scale mobile sensor networks..

Antioxidant activity of silver nanoparticles prepared by green synthesis. (2018)
Conference Proceeding
RUTTKAY-NEDECKÝ, B., DOČEKALOVÁ, M., HOSNEDLOVÁ, B., UHLÍŘOVÁ, D., STAŃKOVÁ, M., KEPINSKA, M., MILNEROWICZ, H., FERNANDEZ, C., BAROŇ, M., SOCHOR, J., NGUYEN, H.V. and KIZEK, R. 2018. Antioxidant activity of silver nanoparticles prepared by green synthesis. In Proceedings of 10th Nanomaterials international conference 2018 (NANOCON 2018): research and application, 17-19 October 2018, Brno, Czech Republic. Ostrava: Tanger Ltd [online], pages 392-396. Available from: https://www.confer.cz/nanocon/2018/download/189-antioxidant-activity-of-silver-nanoparticles-prepared-by-green-synthesis.pdf

At present, great attention is given to silver nanoparticles (AgNPs), which thanks to its unique properties, such as good electric conductivity, photoelectrochemical activity and antimicrobial activity are widely used. Green synthesis of nanoparticle... Read More about Antioxidant activity of silver nanoparticles prepared by green synthesis..

Superparamagnetic iron oxide nanoparticles (spions) modified with sarcosine oxidase-enzymatic activity analysis by sds-page. (2018)
Conference Proceeding
UHLÍŘOVÁ, D., STAŇKOVÁ, M., DOČEKALOVÁ, M., HOSNEDLOVÁ, B., KEPINSKA, M., RUTTKAY-NEDECKÝ, B., RŮŽIČKA, J., FERNANDEZ, C., MILNEROWICZ, H. and KIZEK, R. 2018. Superparamagnetic iron oxide nanoparticles (spions) modified with sarcosine oxidase-enzymatic activity analysis by sds-page. In Proceedings of 10th Nanomaterials international conference 2018 (NANOCON 2018): research and application, 17-19 October 2018, Brno, Czech Republic. Ostrava: Tanger Ltd [online], pages 360-364. Available from: https://www.confer.cz/nanocon/2018/download/190-superparamagnetic-iron-oxide-nanoparticles-spions-modified-with-sarcosine-oxidase-enzymatic-activity-analysis-by-sds-page.pdf

Sarcosine oxidase (SOX) is an enzyme that catalyzes the oxidative demethylation of sarcosine with the glycine as a product and is physiologically active in human body and other mammals. However prostate cancer cells have a high expression of sarcosin... Read More about Superparamagnetic iron oxide nanoparticles (spions) modified with sarcosine oxidase-enzymatic activity analysis by sds-page..

Conjugated metallothionein-carbon-doxorubicin nanotransporter for targeted breast cancer therapy. (2018)
Conference Proceeding
SKALIČKOVÁ, S., KEPINSKA, M., LOFFELMANN, M., UHLÍŘOVÁ, D., GARGULÁK, M., DOČEKALOVÁ, M., HOSNEDLOVÁ, B., RUTTKAY-NEDECKÝ, B., MILNEROWICZ, H., FERNANDEZ, C. and KIZEK, R. 2018. Conjugated metallothionein-carbon-doxorubicin nanotransporter for targeted breast cancer therapy. In Proceedings of 10th Nanomaterials international conference 2018 (NANOCON 2018): research and application, 17-19 October 2018, Brno, Czech Republic. Ostrava: Tanger Ltd [online], pages 342-347. Available from: https://www.confer.cz/nanocon/2018/download/193-metallothionein-fullerene-doxorubicin-nanotransporter-conjugates-for-targeted-breast-cancer-therapy.pdf

Metalothionein (MT) is a polypeptide of molecular weight in the range of 6-10 kDa. MT typically contains 60 to 68 amino acid residues. MT is characterized by its unique content of metal ions as well as its sulfur content. Higher MT levels were observ... Read More about Conjugated metallothionein-carbon-doxorubicin nanotransporter for targeted breast cancer therapy..

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..