All Outputs (7567)

Monitoring health in smart homes using simple sensors. (2018)
Conference Proceeding
MASSIE, S., FORBES, G., CRAW, S., FRASER, L. and HAMILTON, G. 2018. Monitoring health in smart homes using simple sensors. In Bach, K., Bunescu, R., Farri, O., Guo, A., Hasan, S., Ibrahim, Z.M., Marling, C., Raffa, J., Rubin, J. and Wu, H. (eds.) Proceedings of the 3rd International workshop on knowledge discovery in healthcare data (KDH), co-located with the 27th International joint conference on artificial intelligence and the 23rd European conference on artificial intelligence (IJCAI-ECAI 2018), 13 July 2018, Stockholm, Sweden. CEUR workshop proceedings, 2148. Aachen: CEUR-WS [online], pages 33-37. Available from: http://ceur-ws.org/Vol-2148/paper05.pdf

We consider use of an ambient sensor network, installed in Smart Homes, to identify low level events taking place which can then be analysed to generate a resident's profile of activities of daily living (ADLs). These ADL profiles are compared to bot... Read More about Monitoring health in smart homes using simple sensors..

Matching networks for personalised human activity recognition. (2018)
Conference Proceeding
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Matching networks for personalised human activity recognition. In Bichindaritz, I., Guttmann, C., Herrero, P., Koch, F., Koster, A., Lenz, R., López Ibáñez, B., Marling, C., Martin, C., Montagna, S., Montani, S., Reichert, M., Riaño, D., Schumacher, M.I., ten Teije, A. and Wiratunga, N. (eds.) Proceedings of the 1st Joint workshop on artificial intelligence in health, organized as part of the Federated AI meeting (FAIM 2018), co-located with the 17th International conference on autonomous agents and multiagent systems (AAMAS 2018), the 35th International conference on machine learning (ICML 2018), the 27th International joint conference on artificial intelligence (IJCAI 2018), and the 26th International conference on case-based reasoning (ICCBR 2018), 13-19 July 2018, Stockholm, Sweden. CEUR workshop proceedings, 2142. Aachen: CEUR-WS [online], pages 61-64. Available from: http://ceur-ws.org/Vol-2142/short4.pdf

Human Activity Recognition (HAR) has many important applications in health care which include management of chronic conditions and patient rehabilitation. An important consideration when training HAR models is whether to use training data from a gene... Read More about Matching networks for personalised human activity recognition..

Sequence variation in multidrug-resistant plasmid pLUH01, isolated from human nasopharyngeal swabs. (2018)
Journal Article
ATKINSON, K.V., BISHOP, L.A., RHODES, G., SALEZ, N., MCEWAN, N.R., HEGARTY, M.J., ROBEY, J., HARDING, N., WETHERELL, S., LAUDER, R.M., PICKUP, R.W., WILKINSON, M. and GATHERER, D. 2018. Sequence variation in multidrug-resistant plasmid pLUH01, isolated from human nasopharyngeal swabs. Microbiology resource announcements [online], 7(1), article number 00835-18. Available from: https://doi.org/10.1128/MRA.00835-18

Three variants of the multidrug-resistant plasmid pLUH01 were assembled by deep sequencing from nasopharyngeal swabs. All have a 21-bp deletion in the RS14515 hypothetical gene. Variants 1 through 3 have 2, 6, and 3 nucleotide substitutions, respecti... Read More about Sequence variation in multidrug-resistant plasmid pLUH01, isolated from human nasopharyngeal swabs..

Reasoning with multi-modal sensor streams for m-health applications. (2018)
Conference Proceeding
WIJEKOON, A. 2018. Reasoning with multi-modal sensor streams for m-health applications. In Minor, M. (ed.) Workshop proceedings for the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 234-238. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=234

Musculoskeletal Disorders have a long term impact on individuals as well as on the community. They require self-management, typically in the form of maintaining an active lifestyle that adheres to prescribed exercises regimes. In the recent past m-he... Read More about Reasoning with multi-modal sensor streams for m-health applications..

Improving human activity recognition with neural translator models. (2018)
Conference Proceeding
WIJEKOON, A., WIRATUNGA, N. and SANI, S. 2018. Improving human activity recognition with neural translator models. In Minor, M. (ed.) Workshop proceedings for the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 96-100. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=96

Multiple sensor modalities provide more accurate Human Activity Recognition (HAR) compared to using a single modality, yet the latter is more convenient and less intrusive. It is advantages to create a model which learns from all available sensors; a... Read More about Improving human activity recognition with neural translator models..

Essai de restitution des ambiances lumineuses de la medersa merinide d'El Eubbad a Tlemcen, Algerie. (2018)
Journal Article
ZIANI, A., BELAKEHAL, A. and BENNADJI, A. 2018. Essai de restitution des ambiances lumineuses de la medersa merinide d'El Eubbad a Tlemcen, Algerie. Courrier du savoir [online], 26, pages 289-300. Available from: http://revues.univ-biskra.dz/index.php/cds/article/view/3944

This research explores the authentic luminous ambiences that characterized the medersa of El Eubbad in Tlemcen in Algeria. These atmospheres have been profoundly altered due to the different rearrangements that have affected this building. Based on h... Read More about Essai de restitution des ambiances lumineuses de la medersa merinide d'El Eubbad a Tlemcen, Algerie..

Development and preliminary testing of a brief clinical tool to enable daily monitoring of chemotherapy toxicity: the Daily Chemotherapy Toxicity self-Assessment Questionnaire. (2018)
Journal Article
MAGUIRE, R., KOTRONOULAS, G., DONNAN, P.T., PATERSON, C., MCCANN, L., CONNAGHAN, J., DI DOMENICO, D.G.G. and KEARNEY, N. 2018. Development and preliminary testing of a brief clinical tool to enable daily monitoring of chemotherapy toxicity: the Daily Chemotherapy Toxicity self-Assessment Questionnaire. European journal of cancer care [online], 27(6), article ID e12890. Available from: https://doi.org/10.1111/ecc.12890

Close monitoring of chemotherapy toxicity can be instrumental in ensuring prompt symptom management and quality care. Our aim was to develop a brief clinical tool to enable daily assessment of chemotherapy toxicity, and investigate/establish its cont... Read More about Development and preliminary testing of a brief clinical tool to enable daily monitoring of chemotherapy toxicity: the Daily Chemotherapy Toxicity self-Assessment Questionnaire..

Spatial-sound topology of the museum's architectural space. (2018)
Journal Article
SARAOUI, S., BELAKEHAL, A., BENNADJI, A. and ATTAR, A. 2018. Spatial-sound topology of the museum's architectural space. Courrier du savoir [online], 26, pages 571-584. Available from: http://revues.univ-biskra.dz/index.php/cds/article/view/3980

The present work aims to demonstrate that a topological characterization of architectural space would amount to a presence and a participation of sound. In other words, the sound, itself and similarly to the human body, will be able to generate new s... Read More about Spatial-sound topology of the museum's architectural space..

Social media as a vehicle for user engagement with local history: a case study in the north-east of Scotland. (2018)
Journal Article
HOOD, C. and REID, P.H. 2018. Social media as a vehicle for user engagement with local history: a case study in the north-east of Scotland. Journal of documentation [online], 74(4), pages 741-762. Available from: https://doi.org/10.1108/JD-12-2017-0167

Purpose - The aim of this paper is to examine issues associated with user engagement on social media with local history in the north east of Scotland and focuses on a case-study of the Buckie and District Fishing Heritage Society, a small but very su... Read More about Social media as a vehicle for user engagement with local history: a case study in the north-east of Scotland..

Multi-storey residential buildings and occupant's behaviour during fire evacuation in the UK: factors relevant to the development of evacuation strategies. (2018)
Journal Article
GERGES, M., PENN, S., MOORE, D., BOOTHMAN, C. and LIYANAGE, C. 2018. Multi-storey residential buildings and occupant's behaviour during fire evacuation in the UK: factors relevant to the development of evacuation strategies. International journal of building pathology and adaptation [online], 36(3), pages 234-253. Available from: https://doi.org/10.1108/IJBPA-08-2017-0033

The paper aims to investigate human behaviour during fire evacuations in multistorey residential buildings through a focus on the challenges and obstacles that occupants face. Any variations in response behaviours that are relevant to the evacuation... Read More about Multi-storey residential buildings and occupant's behaviour during fire evacuation in the UK: factors relevant to the development of evacuation strategies..

Explainability through transparency and user control: a case-based recommender for engineering workers. (2018)
Presentation / Conference
MARTIN, K., LIRET, A., WIRATUNGA, N., OWUSU, G. and KERN, M. 2018. Explainability through transparency and user control: a case-based recommender for engineering workers. In Minor, M. (ed.) Workshop proceedings for the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden. Stockholm: ICCBR [online], pages 22-31. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=22

Within the service providing industries, field engineers can struggle to access tasks which are suited to their individual skills and experience. There is potential for a recommender system to improve access to information while being on site. Howeve... Read More about Explainability through transparency and user control: a case-based recommender for engineering workers..

Study of similarity metrics for matching network-based personalised human activity recognition. (2018)
Presentation / Conference
SANI, S., WIRATUNGA, N., MASSIE, S. and COOPER, K. 2018. Study of similarity metrics for matching network-based personalised human activity recognition. In Minor, M. (ed.) Workshop proceedings for the 26th International conference on case-based reasoning (ICCBR 2018), 9-12 July 2018, Stockholm, Sweden, pages 91-95. Available from: http://iccbr18.com/wp-content/uploads/ICCBR-2018-V3.pdf#page=91

Personalised Human Activity Recognition (HAR) models trained using data from the target user (subject-dependent) have been shown to be superior to non personalised models that are trained on data from a general population (subject-independent). Howev... Read More about Study of similarity metrics for matching network-based personalised human activity recognition..

A qualitative study of the perspectives of older people in remote Scotland on accessibility to healthcare, medicines and medicines-taking. (2018)
Journal Article
STEWART, D., GIBSON-SMITH, K., CUNNINGHAM, S., PFLEGER, S and RUSHWORTH, G. 2018. A qualitative study of the perspectives of older people in remote Scotland on accessibility to healthcare, medicines and medicines-taking. International journal of clinical pharmacy [online], 40(5), pages 1300-1308. Available from: https://doi.org/10.1007/s11096-018-0684-y

Background: Recent evidence highlights the disproportionate rates of health inequality often experienced within remote and rural communities. Access to medicines within remote and rural communities may also prove problematic. Objective: The aim was t... Read More about A qualitative study of the perspectives of older people in remote Scotland on accessibility to healthcare, medicines and medicines-taking..

Iterated racing algorithm for simulation-optimisation of maintenance planning. (2018)
Conference Proceeding
LACROIX, B., MCCALL, J. and LONCHAMPT, J. 2018. Iterated racing algorithm for simulation-optimisation of maintenance planning. In Proceedings of the 2018 IEEE congress on evolutionary computation (CEC 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8477843. Available from: https://doi.org/10.1109/CEC.2018.8477843

The purpose of this paper is two fold. First, we present a set of benchmark problems for maintenance optimisation called VMELight. This model allows the user to define the number of components in the system to maintain and a number of customisable pa... Read More about Iterated racing algorithm for simulation-optimisation of maintenance planning..

Symbols classification in engineering drawings. (2018)
Conference Proceeding
ELYAN, E., MORENO GARCIA, C. and JAYNE, C. 2018. Symbols classification in engineering drawings. In Proceedings of the 2018 International joint conference on neural networks (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8489087. Available from: https://doi.org/10.1109/IJCNN.2018.8489087

Technical drawings are commonly used across different industries such as Oil and Gas, construction, mechanical and other types of engineering. In recent years, the digitization of these drawings is becoming increasingly important. In this paper, we p... Read More about Symbols classification in engineering drawings..

Spatial effects of video compression on classification in convolutional neural networks. (2018)
Conference Proceeding
JOHNSTON, P., ELYAN, E. and JAYNE, C. 2018. Spatial effects of video compression on classification in convolutional neural networks. In Proceedings of the 2018 International joint conference on neural networks (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8489370. Available from: https://doi.org/10.1109/IJCNN.2018.8489370

A collection of Computer Vision application reuse pre-learned features to analyse video frame-by-frame. Those features are classically learned by Convolutional Neural Networks (CNN) trained on high quality images. However, available video content is... Read More about Spatial effects of video compression on classification in convolutional neural networks..

Few-shot classifier GAN. (2018)
Conference Proceeding
ALI-GOMBE, A., ELYAN, E., SAVOYE, Y. and JAYNE, C. 2018. Few-shot classifier GAN. In Proceedings of the 2018 International joint conference on neural networks (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8489387. Available from: https://doi.org/10.1109/IJCNN.2018.8489387

Fine-grained image classification with a few-shot classifier is a highly challenging open problem at the core of a numerous data labeling applications. In this paper, we present Few-shot Classifier Generative Adversarial Network as an approach for fe... Read More about Few-shot classifier GAN..

Botnet detection in the Internet of Things using deep learning approaches. (2018)
Conference Proceeding
MCDERMOTT, C.D., MAJDANI, F. and PETROVSKI, A.V. 2018. Botnet detection in the Internet of Things using deep learning approaches. In Proceedings of the 2018 International joint conference on neural networks (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8489489. Available from: https://doi.org/10.1109/IJCNN.2018.8489489

The recent growth of the Internet of Things (IoT) has resulted in a rise in IoT based DDoS attacks. This paper presents a solution to the detection of botnet activity within consumer IoT devices and networks. A novel application of Deep Learning is u... Read More about Botnet detection in the Internet of Things using deep learning approaches..

Fuzzy data analysis methodology for the assessment of value of information in the oil and gas industry. (2018)
Conference Proceeding
VILELA, M., OLUYEMI, G. and PETROVSKI, A. 2018. Fuzzy data analysis methodology for the assessment of value of information in the oil and gas industry. In Proceedings of the 2018 IEEE international conference on fuzzy systems (FUZZ-IEEE 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article ID 8491628. Available from: https://doi.org/10.1109/FUZZ-IEEE.2018.8491628

To manage uncertainty in reservoir development projects, the Value of Information is one of the main factors on which the decision is based to determine whether it is necessary to acquire additional data. However, subsurface data is not always precis... Read More about Fuzzy data analysis methodology for the assessment of value of information in the oil and gas industry..

Generic application of deep learning framework for real-time engineering data analysis. (2018)
Conference Proceeding
MAJDANI, F., PETROVSKI, A. and PETROVSKI, S. 2018. Generic application of deep learning framework for real-time engineering data analysis. In Proceedings of the 2018 International joint conference on neural networks (IJCNN 2018), 8-13 July 2018, Rio de Janeiro, Brazil. Piscataway, NJ: IEEE [online], article number 8489356. Available from: https://doi.org/10.1109/IJCNN.2018.8489356

The need for computer-assisted real-time anomaly detection in engineering data used for condition monitoring is apparent in various applications, including the oil and gas, automotive industries and many other engineering domains. To reduce the relia... Read More about Generic application of deep learning framework for real-time engineering data analysis..