Photo-Realistic Facial Details Synthesis from Single Image (2019)
Presentation / Conference Contribution
Chen, A., Chen, Z., Zhang, G., Zhang, Z., Mitchell, K., & Yu, J. (2019, October). Photo-Realistic Facial Details Synthesis from Single Image. Presented at 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea

We present a single-image 3D face synthesis technique that can handle challenging facial expressions while recovering fine geometric details. Our technique employs expression analysis for proxy face geometry generation and combines supervised and uns... Read More about Photo-Realistic Facial Details Synthesis from Single Image.

A Review on Deep Learning Approaches to Image Classification and Object Segmentation (2019)
Journal Article
Wu, H., Liu, Q., & Liu, X. (2019). A Review on Deep Learning Approaches to Image Classification and Object Segmentation. Computers, Materials & Continua, 60(2), 575-597. https://doi.org/10.32604/cmc.2019.03595

Deep learning technology has brought great impetus to artificial intelligence, especially in the fields of image processing, pattern and object recognition in recent years. Present proposed artificial neural networks and optimization skills have effe... Read More about A Review on Deep Learning Approaches to Image Classification and Object Segmentation.

PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing (2019)
Journal Article
Zhu, R., Yu, T., Tan, Z., Du, W., Zhao, L., Li, J., & Xia, X. (2020). PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing. IEEE Access, 8, 1475-1485. https://doi.org/10.1109/ACCESS.2019.2962066

Outlier detection over sliding window is a fundamental problem in the domain of streaming data management, which has been studied over 10 years. The key of supporting outlier detection is to construct a neighbour-list for each object. It is used for... Read More about PTAOD: A Novel Framework For Supporting Approximate Outlier Detection over Streaming Data for Edge Computing.

A Multi-attributes-based Trust Model of Internet of Vehicle (2019)
Presentation / Conference Contribution
Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019, December). A Multi-attributes-based Trust Model of Internet of Vehicle. Presented at 13th International Conference on Network and System Security, Sapporo, Japan

Internet of Vehicle (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establish a trustworthy mechanism. Through transmission and dissemination of trust,... Read More about A Multi-attributes-based Trust Model of Internet of Vehicle.

Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication (2019)
Journal Article
Hawbani, A., Torbosh, E., Wang, X., Sincak, P., Zhao, L., & Al-Dubai, A. (2021). Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication. IEEE Transactions on Fuzzy Systems, 29(3), 612-626. https://doi.org/10.1109/tfuzz.2019.2957254

This paper modeled the multihop data-routing in Vehicular Ad-hoc Networks(VANET) as Multiple Criteria Decision Making (MCDM) in four steps. First, the criteria which have an impact on the performance of the network layer are captured and transformed... Read More about Fuzzy-Based Distributed Protocol for Vehicle-to-Vehicle Communication.

Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs (2019)
Journal Article
Alsarhan, A., Kilani, Y., Al-Dubai, A., Zomaya, A. Y., & Hussain, A. (2020). Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs. IEEE Transactions on Vehicular Technology, 69(2), 1568-1581. https://doi.org/10.1109/TVT.2019.2956228

Different studies have recently emphasized the importance of deploying clustering schemes in Vehicular ad hoc Network (VANET) to overcome challenging problems related to scalability, frequent topology changes, scarcity of spectrum resources, maintain... Read More about Novel Fuzzy and Game Theory Based Clustering and Decision Making for VANETs.

MRC4: A Modified RC4 Algorithm using Symmetric Random Function Generator for Improved Cryptographic Features (2019)
Journal Article
Saha, R., Geetha, G., Kumar, G., Kim, T.-H., & Buchanan, W. J. (2019). MRC4: A Modified RC4 Algorithm using Symmetric Random Function Generator for Improved Cryptographic Features. IEEE Access, 7, 172045-172054. https://doi.org/10.1109/access.2019.2956160

The Rivest Cipher 4 (RC4) has been one of the most popular stream ciphers for providing symmetric key encryption, and is now proposed as an efficient cipher within light-weight cryptography. As an algorithm it has been considered to be one of the fas... Read More about MRC4: A Modified RC4 Algorithm using Symmetric Random Function Generator for Improved Cryptographic Features.

Machine Learning for Health and Social Care Demographics in Scotland (2019)
Presentation / Conference Contribution
Buchanan, W. J., Smales, A., Lawson, A., & Chute, C. (2019, November). Machine Learning for Health and Social Care Demographics in Scotland. Paper presented at HEALTHINFO 2019, Valencia, Spain

This paper outlines an extensive study of applying machine learning to the analysis of publicly available health and social care data within Scotland, with a focus on learning the most significant variables involved in key health care outcome factors... Read More about Machine Learning for Health and Social Care Demographics in Scotland.

WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels (2019)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2019, July). WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels. Presented at 15th IEEE International Conference on Control & Automation (ICCA), Edinburgh, Scotland

Industrial Control Systems (ICS) have faced a growing number of threats over the past few years. Reliance on isolated controls networks or air-gapped computers is no longer a feasible solution when it comes to protecting ICS. It is because the new ar... Read More about WaterLeakage: A Stealthy Malware for Data Exfiltration on Industrial Control Systems Using Visual Channels.

RESCUE: Evaluation of a Fragmented Secret Share System in Distributed-Cloud Architecture (2019)
Thesis
Ukwandu, E. A. RESCUE: Evaluation of a Fragmented Secret Share System in Distributed-Cloud Architecture. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2455031

Scaling big data infrastructure using multi-cloud environment has led to the demand for highly secure, resilient and reliable data sharing method. Several variants of secret sharing scheme have been proposed but there remains a gap in knowledge on th... Read More about RESCUE: Evaluation of a Fragmented Secret Share System in Distributed-Cloud Architecture.

Reliable and energy efficient mechanisms for wireless sensor networks (2019)
Thesis
Ali, A. O. E. S. Reliable and energy efficient mechanisms for wireless sensor networks. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2404287

Sensor nodes and their underlying communication technologies are characterised by restricted power resources, restricted processing, limited storage capacities, low data rates and lossy links, and they may also comprise up to a thousand nodes. Wirele... Read More about Reliable and energy efficient mechanisms for wireless sensor networks.

Investigations into Decrypting Live Secure Traffic in Virtual Environments (2019)
Thesis
McLaren, P. W. L. Investigations into Decrypting Live Secure Traffic in Virtual Environments. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2386517

Malicious agents increasingly use encrypted tunnels to communicate with external servers. Communications may contain ransomware keys, stolen banking details, or other confidential information. Rapid discovery of communicated contents through decrypti... Read More about Investigations into Decrypting Live Secure Traffic in Virtual Environments.

Real-time 3D Graphic Augmentation of Therapeutic Music Sessions for People on the Autism Spectrum (2019)
Thesis
McGowan, J. J. Real-time 3D Graphic Augmentation of Therapeutic Music Sessions for People on the Autism Spectrum. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2386291

This thesis looks at the requirements analysis, design, development and evaluation of an application, CymaSense, as a means of improving the communicative behaviours of autistic participants through therapeutic music sessions, via the addition of a v... Read More about Real-time 3D Graphic Augmentation of Therapeutic Music Sessions for People on the Autism Spectrum.

Utilising Reduced File Representations to Facilitate Fast Contraband Detection (2019)
Thesis
McKeown, S. Utilising Reduced File Representations to Facilitate Fast Contraband Detection. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2386199

Digital forensics practitioners can be tasked with analysing digital data, in all its forms, for legal proceedings. In law enforcement, this largely involves searching for contraband media, such as illegal images and videos, on a wide array of electr... Read More about Utilising Reduced File Representations to Facilitate Fast Contraband Detection.

The evaluation of data filtering criteria in wind turbine power performance assessment (2019)
Thesis
Davison, B. The evaluation of data filtering criteria in wind turbine power performance assessment. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2376943

The post-installation verification of wind turbine performance is an essential part of a wind energy project. Data collected from meteorological instruments and from the turbine is analysed to produce an estimate of the annual energy production (AEP)... Read More about The evaluation of data filtering criteria in wind turbine power performance assessment.

The Meeting Journey: Supporting the Design of Interaction Within Co-located, Collaborative Device Ecologies (2019)
Thesis
Ammeloot, A. The Meeting Journey: Supporting the Design of Interaction Within Co-located, Collaborative Device Ecologies. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2376807

The combination of personal and Bring Your Own Device (BYOD) technologies with augmented "smart" spaces designed for collaborative work offers new design challenges for the HCI community. This thesis looks at how BYOD technologies can integrate with... Read More about The Meeting Journey: Supporting the Design of Interaction Within Co-located, Collaborative Device Ecologies.

Visualisation Support for Biological Bayesian Network Inference (2019)
Thesis
Vogogias, T. Visualisation Support for Biological Bayesian Network Inference. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2158180

Extracting valuable information from the visualisation of biological data and turning it into a network model is the main challenge addressed in this thesis. Biological networks are mathematical models that describe biological entities as nodes and t... Read More about Visualisation Support for Biological Bayesian Network Inference.

Wattom: Ambient Eco-feedback with Mid-air Input (2019)
Presentation / Conference Contribution
Esteves, A., Quintal, F., Caires, F., Baptista, V., & Mendes, P. (2019, June). Wattom: Ambient Eco-feedback with Mid-air Input. Presented at EX.PAT'19, University of Madeira, Funchal, Portugal

This paper presents Wattom, a highly interactive ambient eco-feedback smart plug that aims to promote a more sustainable use of electricity in the home. This paper describes our latest implementation of the Wattom plug, and three system applications.... Read More about Wattom: Ambient Eco-feedback with Mid-air Input.

PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme (2019)
Journal Article
Khan, R., Zakarya, M., Tan, Z., Usman, M., Jan, M. A., & Khan, M. (2019). PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme. International Journal of Communication Systems, 32(18), Article e4144. https://doi.org/10.1002/dac.4144

Heterogeneous wireless sensor networks (WSNs) consist of resource-starving nodes that face a challenging task of handling various issues such as data redundancy, data fusion, congestion control, and energy efficiency. In these networks, data fusion a... Read More about PFARS: Enhancing Throughput and Lifetime of Heterogeneous WSNs through Power-aware Fusion, Aggregation and Routing Scheme.

A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks (2019)
Journal Article
Khan, F., Ur Rehman, A., Yahya, A., Jan, M. A., Chuma, J., Tan, Z., & Hussain, K. (2019). A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks. Sensors, 19, Article 4321. https://doi.org/10.3390/s19194321

The Internet of Things (IoT) is an emerging technology that aims to enable the interconnection of a large number of smart devices and heterogeneous networks. Ad hoc networks play an important role in the designing of IoT-enabled platforms due to thei... Read More about A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks.