Outputs (651)

H2/Air Autoignition Dynamics around the Third Explosion Limit (2018)
Journal Article
Tingas, E.-A., Kyritsis, D. C., & Goussis, D. A. (2019). H2/Air Autoignition Dynamics around the Third Explosion Limit. Journal of Energy Engineering, 145(1), Article 04018074. https://doi.org/10.1061/%28asce%29ey.1943-7897.0000588

This paper examines the influence of wall reactions on the generation of the explosive time scale that characterizes ignition delay around the third explosion limit of a stoichiometric H2/air homogeneous mixture. The only wall reactions exhibiting a... Read More about H2/Air Autoignition Dynamics around the Third Explosion Limit.

NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification (2018)
Journal Article
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (2022). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, 28(3), 1251-1261. https://doi.org/10.1007/s11276-018-01909-0

Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever growing social inetworking and online marketing sites, the reviews obtained... Read More about NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification.

Comprehensive Review on Appropriate Sizing and Optimization Technique of Hybrid PV-Wind System (2018)
Presentation / Conference Contribution
Nabipour-Afrouzi, H., Yii, S., Ahmad, J., & Tabassum, M. (2018, October). Comprehensive Review on Appropriate Sizing and Optimization Technique of Hybrid PV-Wind System. Presented at 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kota Kinabalu, Malaysia

The energy consumption is increasing at an alarming rate due to the growth of world population. Hybrid renewable energy system (HRES) is becoming more trending as the sources involved such as wind and solar radiation to generate energy is environment... Read More about Comprehensive Review on Appropriate Sizing and Optimization Technique of Hybrid PV-Wind System.

Mitigating the effect of partial shading by triple-tied configuration of PV modules (2018)
Presentation / Conference Contribution
Kho, C. T. K., Ahmed, J., Then, Y. L., & Kermadi, M. (2018, October). Mitigating the effect of partial shading by triple-tied configuration of PV modules. Presented at 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kota Kinabalu, Malaysia

Partial shading is the phenomenon, which occurs when PV modules receive irregular irradiance on a PV array. Due to that, shaded PV modules are bypassed by diodes and significant reduction in power is experienced. To counter such problem, PV modules a... Read More about Mitigating the effect of partial shading by triple-tied configuration of PV modules.

Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution (2018)
Journal Article
Ahmad, J., Larijani, H., Emmanuel, R., Mannion, M., & Javed, A. (2018). Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution. Applied Computing and Informatics, https://doi.org/10.1016/j.aci.2018.12.001

Buildings use approximately 40% of global energy and are responsible for almost a third of the worldwide greenhouse gas emissions. They also utilise about 60% of the world’s electricity. In the last decade, stringent building regulations have led to... Read More about Occupancy detection in non-residential buildings – A survey and novel privacy preserved occupancy monitoring solution.

The impact of work placement on graduate employment in computing: outcomes from a UK-based study (2018)
Journal Article
Smith, S., Taylor-Smith, E., Smith, C., & Webster, G. (2018). The impact of work placement on graduate employment in computing: outcomes from a UK-based study. International Journal of Work-Integrated Learning, 19(4), 359-369

This study followed recent computing graduates into the workplace and explored their undergraduate experiences of work placements and subsequent impact on graduate employment. Whilst studying at one of 14 Scottish universities, participants (n=99) ha... Read More about The impact of work placement on graduate employment in computing: outcomes from a UK-based study.

Quantisation feasibility and performance of RSS-based secret key extraction in VANETs (2018)
Presentation / Conference Contribution
Bottarelli, M., Epiphaniou, G., Ben Ismail, D. K., Karadimas, P., & Al-Khateeb, H. (2018, June). Quantisation feasibility and performance of RSS-based secret key extraction in VANETs. Presented at 2018 International Conference on Cyber Security and Protection of Digital Services (Cyber Security), Glasgow

Vehicular Ad Hoc Networks (VANETs) has emerged as a unique implementation of Mobile Ad Hoc Networks (MANETs). These networks promise to increase road safety and improve the driving experience by exploiting recent advances in wireless technologies for... Read More about Quantisation feasibility and performance of RSS-based secret key extraction in VANETs.

Reducing the Impact of Network Bottlenecks on Remote Contraband Detection (2018)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2018, June). Reducing the Impact of Network Bottlenecks on Remote Contraband Detection. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018), Glasgow, UK

Cloud based storage is increasing in popularity, with
large volumes of data being stored remotely. Digital forensics
investigators examining such systems remotely are limited by
bandwidth constraints when accessing this kind of data using
traditi... Read More about Reducing the Impact of Network Bottlenecks on Remote Contraband Detection.

Sub-file Hashing Strategies for Fast Contraband Detection (2018)
Presentation / Conference Contribution
McKeown, S., Russell, G., & Leimich, P. (2018, June). Sub-file Hashing Strategies for Fast Contraband Detection. Presented at IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018), Glasgow, Scotland

Traditional digital forensics processes do not scale well with the huge quantities of data present in a modern investigation, resulting in large investigative backlogs for many law enforcement agencies. Data reduction techniques are required for fast... Read More about Sub-file Hashing Strategies for Fast Contraband Detection.

A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018, June). A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. Presented at Cyber Security 2018: 2018 International Conference on Cyber Security and Protection of Digital Services, Glasgow, United Kingdom

Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development over time have improved their components including operating system platforms... Read More about A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system.