All Outputs (628)

“He’s adorable and I want to take him home”. Trust Perceptions Before and After First-Time Encounters with Social Robots (2021)
Presentation / Conference Contribution
Sobolewska, E., Vanderschantz, N., & Bitcon, F. (2021, July). “He’s adorable and I want to take him home”. Trust Perceptions Before and After First-Time Encounters with Social Robots. Presented at 34th British HCI Conference, London

For users who have not interacted with a robot their perceptions are shaped by society, inculturation, and popular media. With the steady increase of robots in workplaces, during consumer encounters, and increasingly in the home, research is required... Read More about “He’s adorable and I want to take him home”. Trust Perceptions Before and After First-Time Encounters with Social Robots.

Performance and environmental sustainability assessment of an integrated solar water heater designed for disassembly (2021)
Thesis
Saint, R. M. Performance and environmental sustainability assessment of an integrated solar water heater designed for disassembly. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2848617

Recent amendments to the Climate Change (Scotland) Bill set an ambitious target of net-zero by 2045 and the Scottish Government has highlighted the need for policy reform to decarbonise heat. Minimum requirement for hot water provision through renewa... Read More about Performance and environmental sustainability assessment of an integrated solar water heater designed for disassembly.

Industrial control systems cybersecurity analysis and countermeasures (2021)
Thesis
Robles Durazno, A. S. Industrial control systems cybersecurity analysis and countermeasures. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2848612

Industrial Control Systems (ICS) are frequently used in the manufacturing industry and critical infrastructures, such as water, oil and transportation. Disruption of these industries could have disastrous consequences, leading to financial loss or ev... Read More about Industrial control systems cybersecurity analysis and countermeasures.

The delusion of innovations? An investigation into micro-level factors to an effective macro-level diffusion of Building Information Modelling in the UK (2021)
Thesis
Robinson, M. J. The delusion of innovations? An investigation into micro-level factors to an effective macro-level diffusion of Building Information Modelling in the UK. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2848547

Building Information Modelling (BIM) is being hailed as the digital enabler to reform of the traditionally stagnant construction industry, with the UK leading much of the global drive to strategize the macro-level adoption of BIM. However, in an inhe... Read More about The delusion of innovations? An investigation into micro-level factors to an effective macro-level diffusion of Building Information Modelling in the UK.

Sonification of exosolar planetary systems (2021)
Thesis
Quinton, M. A. P. Sonification of exosolar planetary systems. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2848536

The purpose of this research is to investigate sonification techniques suitable for astronomers to explore exosolar planetary data. Four studies were conducted, one with sonification specialists and three with exosolar planetary astronomers. The firs... Read More about Sonification of exosolar planetary systems.

How do young students get enthusiastic about computational thinking activities? (2021)
Presentation / Conference Contribution
Herrero Álvarez, R., León, C., Miranda, G., Segredo, E., Socas, Ó., Cuellar-Moreno, M., Caballero-Julia, D., García, L., & Díaz, Y. (2021, July). How do young students get enthusiastic about computational thinking activities?. Presented at 13th International Conference on Education and New Learning Technologies, Online

This paper presents a study of the emotions that are produced in pre-university students when performing Computational Thinking activities. In the absence of an official document that deals what content of Computational Thinking should be taught at t... Read More about How do young students get enthusiastic about computational thinking activities?.

Evolving legacy enterprise systems with microservices-based architecture in cloud environments (2021)
Thesis
Habibullah, S. Evolving legacy enterprise systems with microservices-based architecture in cloud environments. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2811288

Many legacy enterprise systems suffer from a number of common and critical problems. Such systems have often been implemented in the past with hardware and software technologies which are now out of date. Furthermore, they have often been modified in... Read More about Evolving legacy enterprise systems with microservices-based architecture in cloud environments.

Evaluation of engagement with hyperlocal e-participation systems by citizens and representatives (2021)
Thesis
Cruickshank, P. Evaluation of engagement with hyperlocal e-participation systems by citizens and representatives. (Thesis by Publication). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2805712

This work is concerned with the information practices associated with hyperlocal representation. The findings derive from an evaluation of a portfolio of ten previously published papers covering the period 2010-2020.

The main contributions are: (a... Read More about Evaluation of engagement with hyperlocal e-participation systems by citizens and representatives.

Application of evolutionary machine learning in metamorphic malware analysis and detection (2021)
Thesis
Babaagba, K. O. Application of evolutionary machine learning in metamorphic malware analysis and detection. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2801469

In recent times, malware detection and analysis are becoming key issues. A dangerous class of malware is metamorphic malware which is capable of modifying its own code and hiding malicious instructions within normal program code. Current malware dete... Read More about Application of evolutionary machine learning in metamorphic malware analysis and detection.

The impact of usability, social and organisational factors on students' use of learning management systems in Saudi tertiary education (2021)
Thesis
Alshehri, A. A. M. The impact of usability, social and organisational factors on students' use of learning management systems in Saudi tertiary education. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2801449

Advances in e-learning have reshaped universities worldwide. Universities place great emphasis on technology-enhanced learning development and are investing significantly in information technology infrastructure. However, in spite of this effort and... Read More about The impact of usability, social and organisational factors on students' use of learning management systems in Saudi tertiary education.

Investigation of bus passenger discomfort and driver fatigue: An electroencephalography (EEG) approach (2021)
Thesis
Afuye, B. O. Investigation of bus passenger discomfort and driver fatigue: An electroencephalography (EEG) approach. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2799650

Efforts to improve urban bus transport systems’ comfort and increase user satisfaction have been made for many years across the globe. Increasing bus users and reducing car users has an economic benefit. Whenever the urban bus share is larger than 25... Read More about Investigation of bus passenger discomfort and driver fatigue: An electroencephalography (EEG) approach.

Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings (2021)
Journal Article
Najeh, T., Lundberg, J., & Kerrouche, A. (2021). Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings. Sensors, 21(15), Article 5217. https://doi.org/10.3390/s21155217

The switch and crossing (S&C) is one of the most important parts of the railway infrastructure network due to its significant influence on traffic delays and maintenance costs. Two central questions were investigated in this paper: (I) the first ques... Read More about Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings.

Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification (2021)
Journal Article
Aroyehun, S. T., Angel, J., Majumder, N., Gelbukh, A., & Hussain, A. (2021). Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification. Neurocomputing, 464, 421-431. https://doi.org/10.1016/j.neucom.2021.07.057

When labels are organized into a meaningful taxonomy, the parent-child relationship between labels at different levels can give the classifier additional information not deducible from the data alone, especially with limited training data. As a case... Read More about Leveraging label hierarchy using transfer and multi-task learning: A case study on patent classification.

Optimisation of Cutting Fluid Concentration and Operating Parameters based on RSM for Turning Ti–6Al–4V (2021)
Journal Article
Gariani, S., Elsayed, M., & Shyha, I. (2021). Optimisation of Cutting Fluid Concentration and Operating Parameters based on RSM for Turning Ti–6Al–4V. International Journal of Advanced Manufacturing Technology, 117, 539-553. https://doi.org/10.1007/s00170-021-07623-0

The paper details experimental and optimisation results for the effect of cutting fluid concentration and operating parameters on the average surface roughness (Ra) and tool flank wear (VB) when flooded turning of Ti-6Al-4V using water-miscible veget... Read More about Optimisation of Cutting Fluid Concentration and Operating Parameters based on RSM for Turning Ti–6Al–4V.

A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics (2021)
Book Chapter
Stone, C., Hart, E., & Paechter, B. (2021). A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics. In N. Pillay, & R. Qu (Eds.), Automated Design of Machine Learning and Search Algorithms (91-107). Springer. https://doi.org/10.1007/978-3-030-72069-8_6

Hyper-heuristic frameworks, although intended to be cross-domain at the highest level, usually rely on a set of domain-specific low-level heuristics which exist below the domain-barrier and are manipulated by the hyper-heuristic itself. However, for... Read More about A Cross-Domain Method for Generation of Constructive and Perturbative Heuristics.

Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions (2021)
Journal Article
Latif, S., Idrees, Z., e Huma, Z., & Ahmad, J. (2021). Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions. Transactions on Emerging Telecommunications Technologies, 32(11), Article e4337. https://doi.org/10.1002/ett.4337

The blockchain has emerged as an innovative and powerful technology that shows the tremendous potential to enhance the smart industrial frameworks by providing encryption, immutable storage, and decentralization. In the past few years, several applic... Read More about Blockchain technology for the industrial Internet of Things: A comprehensive survey on security challenges, architectures, applications, and future research directions.

Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks (2021)
Journal Article
Al-Yasir, Y. I. A., Abdulkhaleq, A. M., Parchin, N. O., Elfergani, I. T., Rodriguez, J., Noras, J. M., Abd-Alhameed, R. A., Rayit, A., & Qahwaji, R. (2022). Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks. IEEE Transactions on Green Communications and Networking, 6(1), 500-511. https://doi.org/10.1109/tgcn.2021.3100399

The paper presents the general requirements and an exemplary design of the RF front-end system that in today’s handset is a key consumer of power. The design is required to minimize the carbon footprint in mobile handsets devices, whilst facilitating... Read More about Green and Highly Efficient MIMO Transceiver System for 5G Heterogenous Networks.

Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks (2021)
Journal Article
Usman Yaseen, M., Anjum, A., Fortino, G., Liotta, A., & Hussain, A. (2022). Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks. Pattern Recognition, 121, Article 108207. https://doi.org/10.1016/j.patcog.2021.108207

Object recognition from live video streams comes with numerous challenges such as the variation in illumination conditions and poses. Convolutional neural networks (CNNs) have been widely used to perform intelligent visual object recognition. Yet, CN... Read More about Cloud based scalable object recognition from video streams using orientation fusion and convolutional neural networks.

Multicast DIS attack mitigation in RPL-based IoT-LLNs (2021)
Journal Article
Medjek, F., Tandjaoui, D., Djedjig, N., & Romdhani, I. (2021). Multicast DIS attack mitigation in RPL-based IoT-LLNs. Journal of Information Security and Applications, 61, Article 102939. https://doi.org/10.1016/j.jisa.2021.102939

The IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) was standardised by the IETF ROLL Working Group to address the routing issues in the Internet of Things (IoT) Low-Power and Lossy Networks (LLNs). RPL builds and maintains a Destination... Read More about Multicast DIS attack mitigation in RPL-based IoT-LLNs.

Novel Technique for Meniscus Height Measurement of Liquids Using Optical Fibers (2021)
Journal Article
Binetti, L., & Alwis, L. S. M. (2021). Novel Technique for Meniscus Height Measurement of Liquids Using Optical Fibers. IEEE Sensors Journal, 21(18), 20092-20098. https://doi.org/10.1109/jsen.2021.3100644

A novel technique was designed to measure the meniscus height (MH) of liquids on a standard single mode fiber (SMF) using fiber optics. Once the MH is known, the contact angle could be calculated, and the surface tension of liquids can be determined.... Read More about Novel Technique for Meniscus Height Measurement of Liquids Using Optical Fibers.